From 141f9760e02ce865dbc5c80ea938f6092e65e56c Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" <41898282+github-actions[bot]@users.noreply.github.com> Date: Tue, 31 Oct 2023 17:19:28 +0000 Subject: [PATCH 1/3] update test model files to new ss3 release --- models/BigSkate_2019/BSKT2019_control.ss | 24 +- models/BigSkate_2019/BSKT2019_data.ss | 12 +- models/BigSkate_2019/forecast.ss | 40 +- models/BigSkate_2019/ss_summary.sso | 4 +- models/BigSkate_2019/starter.ss | 18 +- models/BigSkate_2019/warning.sso | 3 +- models/Empirical_Wtatage_Age_Selex/control.ss | 48 +- models/Empirical_Wtatage_Age_Selex/data.ss | 10 +- .../Empirical_Wtatage_Age_Selex/forecast.ss | 40 +- models/Empirical_Wtatage_Age_Selex/ss.par | 48 +- .../ss_summary.sso | 160 +-- models/Empirical_Wtatage_Age_Selex/starter.ss | 18 +- .../Empirical_Wtatage_Age_Selex/warning.sso | 3 +- models/Hake_2018/2018hake_control.SS | 24 +- models/Hake_2018/2018hake_data.SS | 12 +- models/Hake_2018/forecast.ss | 40 +- models/Hake_2018/ss_summary.sso | 4 +- models/Hake_2018/starter.ss | 18 +- models/Hake_2018/warning.sso | 3 +- .../forecast.ss | 40 +- .../hake_control.ss | 22 +- .../hake_data.ss | 12 +- .../ss_summary.sso | 4 +- .../starter.ss | 18 +- .../warning.sso | 5 +- models/KelpGreenling2015/BC_ctl.ss | 30 +- models/KelpGreenling2015/BC_dat.ss | 12 +- models/KelpGreenling2015/forecast.ss | 40 +- models/KelpGreenling2015/ss.par | 58 +- models/KelpGreenling2015/ss_summary.sso | 30 +- models/KelpGreenling2015/starter.ss | 18 +- models/KelpGreenling2015/warning.sso | 18 +- models/Sablefish2015/2015_control.ss | 76 +- models/Sablefish2015/2015_data.ss | 12 +- models/Sablefish2015/forecast.ss | 40 +- models/Sablefish2015/ss.par | 136 +- models/Sablefish2015/ss_summary.sso | 1140 ++++++++--------- models/Sablefish2015/starter.ss | 18 +- models/Sablefish2015/warning.sso | 151 +-- models/Simple/control.ss | 24 +- models/Simple/data.ss | 12 +- models/Simple/forecast.ss | 40 +- models/Simple/ss_summary.sso | 4 +- models/Simple/starter.ss | 18 +- models/Simple/warning.sso | 3 +- models/Simple_Lorenzen_tv_trend/control.ss | 24 +- models/Simple_Lorenzen_tv_trend/data.ss | 12 +- models/Simple_Lorenzen_tv_trend/forecast.ss | 40 +- .../Simple_Lorenzen_tv_trend/ss_summary.sso | 4 +- models/Simple_Lorenzen_tv_trend/starter.ss | 18 +- models/Simple_Lorenzen_tv_trend/warning.sso | 3 +- models/Simple_NoCPUE/forecast.ss | 40 +- models/Simple_NoCPUE/simple.ctl | 24 +- models/Simple_NoCPUE/simple.dat | 12 +- models/Simple_NoCPUE/ss_summary.sso | 4 +- models/Simple_NoCPUE/starter.ss | 18 +- models/Simple_NoCPUE/warning.sso | 3 +- models/Simple_with_Discard/control.ss | 24 +- models/Simple_with_Discard/data.ss | 12 +- models/Simple_with_Discard/forecast.ss | 40 +- models/Simple_with_Discard/ss_summary.sso | 4 +- models/Simple_with_Discard/starter.ss | 18 +- models/Simple_with_Discard/warning.sso | 3 +- models/Spinydogfish_2011/Spiny_Dogfish.CTL | 36 +- models/Spinydogfish_2011/Spiny_Dogfish.DAT | 12 +- models/Spinydogfish_2011/forecast.ss | 40 +- models/Spinydogfish_2011/ss.par | 74 +- models/Spinydogfish_2011/ss_summary.sso | 368 +++--- models/Spinydogfish_2011/starter.ss | 18 +- models/Spinydogfish_2011/warning.sso | 9 +- models/growth_timevary/Example_1_control.SS | 24 +- models/growth_timevary/Example_1_data.SS | 12 +- models/growth_timevary/forecast.ss | 40 +- models/growth_timevary/ss.par | 2 +- models/growth_timevary/ss_summary.sso | 4 +- models/growth_timevary/starter.ss | 18 +- models/growth_timevary/warning.sso | 6 +- models/platoons/forecast.ss | 40 +- models/platoons/platoons_ctl.ss | 61 +- models/platoons/platoons_dat.ss | 12 +- models/platoons/ss.par | 30 +- models/platoons/ss_summary.sso | 64 +- models/platoons/starter.ss | 18 +- models/platoons/warning.sso | 12 +- models/platoons/wtatage.ss | 614 ++++----- models/tagging_mirrored_sel/control.ss | 38 +- models/tagging_mirrored_sel/data_boot_new.ss | 14 +- models/tagging_mirrored_sel/forecast.ss | 40 +- models/tagging_mirrored_sel/ss.par | 26 +- models/tagging_mirrored_sel/ss_summary.sso | 362 +++--- models/tagging_mirrored_sel/starter.ss | 18 +- models/tagging_mirrored_sel/warning.sso | 13 +- models/tagging_mirrored_sel/wtatage.ss | 164 +-- models/three_area_nomove/forecast.ss | 40 +- models/three_area_nomove/ss_summary.sso | 4 +- models/three_area_nomove/starter.ss | 18 +- .../three_area_nomove_ctl.ss | 24 +- .../three_area_nomove_dat.ss | 12 +- models/three_area_nomove/warning.sso | 3 +- models/two_morph_seas_areas/control.ss | 34 +- models/two_morph_seas_areas/data.ss | 14 +- models/two_morph_seas_areas/forecast.ss | 37 +- models/two_morph_seas_areas/ss.par | 62 +- models/two_morph_seas_areas/ss_summary.sso | 136 +- models/two_morph_seas_areas/starter.ss | 18 +- models/two_morph_seas_areas/warning.sso | 8 +- models/vermillion_snapper/forecast.ss | 40 +- models/vermillion_snapper/ss.par | 596 ++++----- models/vermillion_snapper/ss_summary.sso | 20 +- models/vermillion_snapper/starter.ss | 18 +- models/vermillion_snapper/vermilion.ctl | 24 +- models/vermillion_snapper/vermilion.dat | 12 +- models/vermillion_snapper/warning.sso | 16 +- models/vermillion_snapper_F4/forecast.ss | 40 +- models/vermillion_snapper_F4/ss.par | 602 ++++----- models/vermillion_snapper_F4/ss_summary.sso | 14 +- models/vermillion_snapper_F4/starter.ss | 18 +- models/vermillion_snapper_F4/vermilion.ctl | 24 +- models/vermillion_snapper_F4/vermilion.dat | 12 +- models/vermillion_snapper_F4/warning.sso | 19 +- 120 files changed, 3676 insertions(+), 3191 deletions(-) diff --git a/models/BigSkate_2019/BSKT2019_control.ss b/models/BigSkate_2019/BSKT2019_control.ss index d4035b1..044d94b 100644 --- a/models/BigSkate_2019/BSKT2019_control.ss +++ b/models/BigSkate_2019/BSKT2019_control.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -11,6 +11,7 @@ 1 #_N_Growth_Patterns (Growth Patterns, Morphs, Bio Patterns, GP are terms used interchangeably in SS3) 1 #_N_platoons_Within_GrowthPattern #_Cond 1 #_Platoon_within/between_stdev_ratio (no read if N_platoons=1) +#_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # 4 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) @@ -52,8 +53,8 @@ #_no additional input for selected M option; read 1P per morph # 8 # GrowthModel: 1=vonBert with L1&L2; 2=Richards with L1&L2; 3=age_specific_K_incr; 4=age_specific_K_decr; 5=age_specific_K_each; 6=NA; 7=NA; 8=growth cessation -0 #_Age(post-settlement)_for_L1;linear growth below this -999 #_Growth_Age_for_L2 (999 to use as Linf) +0 #_Age(post-settlement) for L1 (aka Amin); first growth parameter is size at this age; linear growth below this +999 #_Age(post-settlement) for L2 (aka Amax); 999 to treat as Linf -999 #_exponential decay for growth above maxage (value should approx initial Z; -999 replicates 3.24; -998 to not allow growth above maxage) 0 #_placeholder for future growth feature # @@ -103,6 +104,7 @@ # Cohort growth dev base 0 2 1 1 99 0 -5 0 0 0 0 0 0 0 # CohortGrowDev # Movement +# Platoon StDev Ratio # Age Error from parameters # catch multiplier # fraction female, by GP @@ -127,7 +129,7 @@ 0 0 0 0 0 0 -99 0 0 0 0 0 0 0 # SR_autocorr #_no timevary SR parameters 1 #do_recdev: 0=none; 1=devvector (R=F(SSB)+dev); 2=deviations (R=F(SSB)+dev); 3=deviations (R=R0*dev; dev2=R-f(SSB)); 4=like 3 with sum(dev2) adding penalty -1995 # first year of main recr_devs; early devs can preceed this era +1995 # first year of main recr_devs; early devs can precede this era 2018 # last year of main recr_devs; forecast devs start in following year -3 #_recdev phase 1 # (0/1) to read 13 advanced options @@ -203,7 +205,7 @@ #Pattern:_11; parm=2; selex=1.0 for specified min-max population length bin range #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_6; parm=2+special; non-parm len selex -#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (average over bin range) +#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (mean over bin range) #Pattern:_8; parm=8; double_logistic with smooth transitions and constant above Linf option #Pattern:_9; parm=6; simple 4-parm double logistic with starting length; parm 5 is first length; parm 6=1 does desc as offset #Pattern:_21; parm=2+special; non-parm len selex, read as pairs of size, then selex @@ -213,7 +215,7 @@ #Pattern:_2; parm=6; double_normal with sel(minL) and sel(maxL), using joiners, back compatibile version of 24 with 3.30.18 and older #Pattern:_25; parm=3; exponential-logistic in length #Pattern:_27; parm=special+3; cubic spline in length; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (mean over bin range) #_discard_options:_0=none;_1=define_retention;_2=retention&mortality;_3=all_discarded_dead;_4=define_dome-shaped_retention #_Pattern Discard Male Special 24 2 4 0 # 1 Fishery_current @@ -233,13 +235,13 @@ #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_16; parm=2; Coleraine - Gaussian #Pattern:_17; parm=nages+1; empirical as random walk N parameters to read can be overridden by setting special to non-zero -#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (average over bin range) +#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (mean over bin range) #Pattern:_18; parm=8; double logistic - smooth transition #Pattern:_19; parm=6; simple 4-parm double logistic with starting age #Pattern:_20; parm=6; double_normal,using joiners #Pattern:_26; parm=3; exponential-logistic in age #Pattern:_27; parm=3+special; cubic spline in age; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (mean over bin range) #Age patterns entered with value >100 create Min_selage from first digit and pattern from remainder #_Pattern Discard Male Special 0 0 0 0 # 1 Fishery_current @@ -321,8 +323,12 @@ -10 20 2.81719 0.6 99 0 4 # Retain_L_asymptote_logit_Fishery_current(1)_BLK2repl_2017 # info on dev vectors created for selex parms are reported with other devs after tag parameter section # -0 # use 2D_AR1 selectivity(0/1) +0 # use 2D_AR1 selectivity? (0/1) #_no 2D_AR1 selex offset used +#_specs: fleet, ymin, ymax, amin, amax, sigma_amax, use_rho, len1/age2, devphase, before_range, after_range +#_sigma_amax>amin means create sigma parm for each bin from min to sigma_amax; sigma_amax<0 means just one sigma parm is read and used for all bins +#_needed parameters follow each fleet's specifications +# -9999 0 0 0 0 0 0 0 0 0 0 # terminator # # Tag loss and Tag reporting parameters go next 0 # TG_custom: 0=no read and autogen if tag data exist; 1=read diff --git a/models/BigSkate_2019/BSKT2019_data.ss b/models/BigSkate_2019/BSKT2019_data.ss index cc3bd59..bf35cb9 100644 --- a/models/BigSkate_2019/BSKT2019_data.ss +++ b/models/BigSkate_2019/BSKT2019_data.ss @@ -1,21 +1,21 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov #_User_info_available_at:https://vlab.noaa.gov/group/stock-synthesis #_Source_code_at:_https://github.com/nmfs-stock-synthesis/stock-synthesis -#_Start_time: Tue Feb 14 23:22:12 2023 +#_Start_time: Tue Oct 31 16:37:54 2023 #_echo_input_data #C Data file Big Skate 2019 -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 1916 #_StartYr 2018 #_EndYr 1 #_Nseas 12 #_months/season 2 #_Nsubseasons (even number, minimum is 2) 1 #_spawn_month -2 #_Ngenders: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) +2 #_Nsexes: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) 20 #_Nages=accumulator age, first age is always age 0 1 #_Nareas 6 #_Nfleets (including surveys) @@ -557,7 +557,7 @@ 1 # use length composition data (0/1/2) where 2 invokes new comp_control format #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie @@ -634,7 +634,7 @@ 0.4006 0.4006 0.4331 0.4465 0.4957 0.5738 0.6683 0.771 0.8775 0.9857 1.0946 1.2038 1.3131 1.4225 1.5319 1.6413 1.7508 1.8602 1.9696 2.079 2.1884 #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie diff --git a/models/BigSkate_2019/forecast.ss b/models/BigSkate_2019/forecast.ss index 9df51c4..a76d810 100644 --- a/models/BigSkate_2019/forecast.ss +++ b/models/BigSkate_2019/forecast.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #C Forecast file Big Skate 2019 # for all year entries except rebuilder; enter either: actual year, -999 for styr, 0 for endyr, neg number for rel. endyr 1 # Benchmarks: 0=skip; 1=calc F_spr,F_btgt,F_msy; 2=calc F_spr,F0.1,F_msy; 3=add F_Blimit; @@ -16,10 +16,27 @@ # where none and simple require no input after this line; simple sets forecast F same as end year F 12 # N forecast years 1 # Fmult (only used for Do_Forecast==5) such that apical_F(f)=Fmult*relF(f) -#_Fcast_years: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) +#_Fcast_years for averaging: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) 0 0 0 0 -999 0 # 2018 2018 2018 2018 1916 2018 -0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from annual time-vary parms) +0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from time-vary parms). NOTE: logic reverses in new format +# A revised protocol for the Fcast_yr specification is available and recommended. Template is below. +# +#-12345 # code to invoke new format for expanded fcast year controls +# biology and selectivity vectors are updated annually in the forecast according to timevary parameters, so check end year of blocks and dev vectors +# input in this section directs creation of means over historical years to override any time_vary changes +# Factors implemented so far: 1=M, 4=recr_dist, 5=migration, 10=selectivity, 11=rel_F, 12=recruitment +# rel_F and Recruitment also have additional controls later in forecast.ss +# input as list: Factor, method (0, 1), st_yr, end_yr +# Terminate with -9999 for Factor +# st_yr and end_yr input can be actual year; <=0 sets rel. to timeseries endyr; Except -999 for st_yr sets to first year if time series +# Method = 0 (or omitted) continue using time_vary parms; 1 use mean of derived factor over specified year range +# Factor method st_yr end_yr +# 10 1 0 0 # selectivity; use: 10 1 0 0 +# 11 1 0 0 # rel_F; use: 11 1 0 0 +# 12 1 -999 0 # recruitment; use: 12 1 -999 0 +#-9999 0 0 0 +# 1 # Control rule method (0: none; 1: ramp does catch=f(SSB), buffer on F; 2: ramp does F=f(SSB), buffer on F; 3: ramp does catch=f(SSB), buffer on catch; 4: ramp does F=f(SSB), buffer on catch) # values for top, bottom and buffer exist, but not used when Policy=0 0.4 # Control rule inflection for constant F (as frac of Bzero, e.g. 0.40); must be > control rule cutoff, or set to -1 to use Bmsy/SSB_unf @@ -38,18 +55,21 @@ 2029 0.81 2030 0.803 -9999 0 +# 3 #_N forecast loops (1=OFL only; 2=ABC; 3=get F from forecast ABC catch with allocations applied) -3 #_First forecast loop with stochastic recruitment -0 #_Forecast recruitment: 0= spawn_recr; 1=value*spawn_recr_fxn; 2=value*VirginRecr; 3=recent mean from yr range above (need to set phase to -1 in control to get constant recruitment in MCMC) -1 # value is ignored -0 #_Forecast loop control #5 (reserved for future bells&whistles) -2050 #FirstYear for caps and allocations (should be after years with fixed inputs) +3 # First forecast loop with stochastic recruitment +0 # Forecast base recruitment: 0= spawn_recr; 1=mult*spawn_recr_fxn; 2=mult*VirginRecr; 3=deprecated; 4=mult*mean_over_yr_range +# for option 4, set phase for fore_recr_devs to -1 in control to get constant mean in MCMC, else devs will be applied +1 # Value multiplier is ignored +0 # not used +# +2050 # FirstYear for caps and allocations (should be after years with fixed inputs) 0 # stddev of log(realized catch/target catch) in forecast (set value>0.0 to cause active impl_error) 0 # Do West Coast gfish rebuilder output: 0=no; 1=yes 2021 # Rebuilder: first year catch could have been set to zero (Ydecl)(-1 to set to 1999) 2021 # Rebuilder: year for current age structure (Yinit) (-1 to set to endyear+1) -1 # fleet relative F: 1=use first-last alloc year; 2=read seas, fleet, alloc list below -# Note that fleet allocation is used directly as average F if Do_Forecast=4 +1 # fleet relative F: 1=use mean over year range; 2=read seas, fleet, alloc list below +# Note that fleet allocation values is used directly as F if Do_Forecast=4 2 # basis for fcast catch tuning and for fcast catch caps and allocation (2=deadbio; 3=retainbio; 5=deadnum; 6=retainnum); NOTE: same units for all fleets # Conditional input if relative F choice = 2 # enter list of: season, fleet, relF; if used, terminate with season=-9999 diff --git a/models/BigSkate_2019/ss_summary.sso b/models/BigSkate_2019/ss_summary.sso index e253607..b1897f5 100644 --- a/models/BigSkate_2019/ss_summary.sso +++ b/models/BigSkate_2019/ss_summary.sso @@ -1,7 +1,7 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 BSKT2019_data.ss #_DataFile BSKT2019_control.ss #_Control -Run_Date: Tue Feb 14 23:20:10 2023 +Run_Date: Tue Oct 31 16:35:17 2023 Final_phase: 5 N_iterations: 242 #_LIKELIHOOD Label logL*Lambda diff --git a/models/BigSkate_2019/starter.ss b/models/BigSkate_2019/starter.ss index a8f9ff7..af865b0 100644 --- a/models/BigSkate_2019/starter.ss +++ b/models/BigSkate_2019/starter.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -9,9 +9,9 @@ BSKT2019_data.ss BSKT2019_control.ss 0 # 0=use init values in control file; 1=use ss.par -1 # run display detail (0,1,2) +1 # run display detail (0 = minimal; 1=one line per iter; 2=each logL) 1 # detailed output (0=minimal for data-limited, 1=high (w/ wtatage.ss_new), 2=brief, 3=custom) -# custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end +#COND: custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end 0 # write 1st iteration details to echoinput.sso file (0,1) 3 # write parm values to ParmTrace.sso (0=no,1=good,active; 2=good,all; 3=every_iter,all_parms; 4=every,active) 0 # write to cumreport.sso (0=no,1=like×eries; 2=add survey fits) @@ -27,7 +27,7 @@ BSKT2019_control.ss -1 # min yr for sdreport outputs (-1 for styr); #_1914 -2 # max yr for sdreport outputs (-1 for endyr+1; -2 for endyr+Nforecastyrs); #_2030 0 # N individual STD years -#vector of year values +#COND: vector of year values if N>0 0.0001 # final convergence criteria (e.g. 1.0e-04) 0 # retrospective year relative to end year (e.g. -4) @@ -35,10 +35,10 @@ BSKT2019_control.ss 1 # Depletion basis: denom is: 0=skip; 1=X*SPBvirgin; 2=X*SPBmsy; 3=X*SPB_styr; 4=X*SPB_endyr; 5=X*dyn_Bzero; values>=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) 1 # Fraction (X) for Depletion denominator (e.g. 0.4) 1 # SPR_report_basis: 0=skip; 1=(1-SPR)/(1-SPR_tgt); 2=(1-SPR)/(1-SPR_MSY); 3=(1-SPR)/(1-SPR_Btarget); 4=rawSPR -1 # F_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=true F for range of ages; 5=unweighted avg. F for range of ages -#COND 10 15 #_min and max age over which average F will be calculated with F_reporting=4 or 5 -0 # F_std_basis: 0=raw_annual_F; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual_F; values >=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) +1 # F_std_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=mean F for range of ages (numbers weighted); 5=unweighted mean F for range of ages +#COND 10 15 #_min and max age over which mean F will be calculated with F_reporting=4 or 5 +0 # F_std_scaling: 0=no scaling; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual F_std, Fmsy means F_std@msy; values >=11 invoke N multiyr (up to 9!) using 10's digit; >100 invokes log(ratio) 0 # MCMC output detail: integer part (0=default; 1=adds obj func components; 2= +write_report_for_each_mceval); and decimal part (added to SR_LN(R0) on first call to mcmc) -0 # ALK tolerance ***disabled in code (example 0.0001) --1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1676416932 +0 # ALK tolerance ***disabled in code +-1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1698770274 3.30 # check value for end of file and for version control diff --git a/models/BigSkate_2019/warning.sso b/models/BigSkate_2019/warning.sso index 2400680..a220b7c 100644 --- a/models/BigSkate_2019/warning.sso +++ b/models/BigSkate_2019/warning.sso @@ -2,4 +2,5 @@ Note 1 Information: Max data length bin: 200 < max pop len bins: 250; so will a Warning 1 : Block:2 13 ends in: 2030 after retroyr+1: 2019 Warning 2 : parameter init value is less than parameter min -0.13155 < -0.09 for parm: 11; search for in echoinput.sso for parm_type Warning 3 : parameter init value is less than parameter min 0 < 0.001 for parm: 12; search for in echoinput.sso for parm_type - 3 warnings and 1 note +Note 2 Information: A revised protocol for the Fcast_yr specification is available and recommended. + 3 warnings and 2 notes diff --git a/models/Empirical_Wtatage_Age_Selex/control.ss b/models/Empirical_Wtatage_Age_Selex/control.ss index 6c4ecf6..e8fe08a 100644 --- a/models/Empirical_Wtatage_Age_Selex/control.ss +++ b/models/Empirical_Wtatage_Age_Selex/control.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -12,6 +12,7 @@ 1 #_N_Growth_Patterns (Growth Patterns, Morphs, Bio Patterns, GP are terms used interchangeably in SS3) 1 #_N_platoons_Within_GrowthPattern #_Cond 1 #_Platoon_within/between_stdev_ratio (no read if N_platoons=1) +#_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # 2 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) @@ -52,8 +53,8 @@ #_no additional input for selected M option; read 1P per morph # 1 # GrowthModel: 1=vonBert with L1&L2; 2=Richards with L1&L2; 3=age_specific_K_incr; 4=age_specific_K_decr; 5=age_specific_K_each; 6=NA; 7=NA; 8=growth cessation -0 #_Age(post-settlement)_for_L1;linear growth below this -25 #_Growth_Age_for_L2 (999 to use as Linf) +0 #_Age(post-settlement) for L1 (aka Amin); first growth parameter is size at this age; linear growth below this +25 #_Age(post-settlement) for L2 (aka Amax); 999 to treat as Linf -999 #_exponential decay for growth above maxage (value should approx initial Z; -999 replicates 3.24; -998 to not allow growth above maxage) 0 #_placeholder for future growth feature # @@ -104,6 +105,7 @@ # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement +# Platoon StDev Ratio # Age Error from parameters # catch multiplier # fraction female, by GP @@ -128,7 +130,7 @@ 0 0 0 0 0 0 -99 0 0 0 0 0 0 0 # SR_autocorr #_no timevary SR parameters 1 #do_recdev: 0=none; 1=devvector (R=F(SSB)+dev); 2=deviations (R=F(SSB)+dev); 3=deviations (R=R0*dev; dev2=R-f(SSB)); 4=like 3 with sum(dev2) adding penalty -1971 # first year of main recr_devs; early devs can preceed this era +1971 # first year of main recr_devs; early devs can precede this era 2001 # last year of main recr_devs; forecast devs start in following year 2 #_recdev phase 1 # (0/1) to read 13 advanced options @@ -153,7 +155,7 @@ # # all recruitment deviations # 1971R 1972R 1973R 1974R 1975R 1976R 1977R 1978R 1979R 1980R 1981R 1982R 1983R 1984R 1985R 1986R 1987R 1988R 1989R 1990R 1991R 1992R 1993R 1994R 1995R 1996R 1997R 1998R 1999R 2000R 2001R 2002F 2003F 2004F 2005F 2006F 2007F 2008F 2009F 2010F 2011F -# 0.177904 -0.0977745 0.0417621 -0.306358 0.323544 0.166862 0.520225 -0.51833 0.589664 -0.218869 0.160331 -0.226304 -0.42619 -0.613983 0.58044 0.401448 0.0798443 0.184368 -0.355344 0.590506 -0.608374 -0.111174 -0.751971 0.37205 -0.641549 0.874421 0.895216 -0.414685 -0.679257 0.251538 -0.239961 0 0 0 0 0 0 0 0 0 0 +# 0.177904 -0.0977746 0.0417632 -0.30636 0.323543 0.166863 0.520225 -0.51833 0.589664 -0.218869 0.160331 -0.226304 -0.42619 -0.613983 0.58044 0.401447 0.0798452 0.184367 -0.355343 0.590506 -0.608373 -0.111175 -0.75197 0.37205 -0.64155 0.874421 0.895215 -0.414685 -0.679256 0.251538 -0.23996 0 0 0 0 0 0 0 0 0 0 # #Fishing Mortality info 0.3 # F ballpark value in units of annual_F @@ -197,7 +199,7 @@ #Pattern:_11; parm=2; selex=1.0 for specified min-max population length bin range #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_6; parm=2+special; non-parm len selex -#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (average over bin range) +#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (mean over bin range) #Pattern:_8; parm=8; double_logistic with smooth transitions and constant above Linf option #Pattern:_9; parm=6; simple 4-parm double logistic with starting length; parm 5 is first length; parm 6=1 does desc as offset #Pattern:_21; parm=2+special; non-parm len selex, read as pairs of size, then selex @@ -207,7 +209,7 @@ #Pattern:_2; parm=6; double_normal with sel(minL) and sel(maxL), using joiners, back compatibile version of 24 with 3.30.18 and older #Pattern:_25; parm=3; exponential-logistic in length #Pattern:_27; parm=special+3; cubic spline in length; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (mean over bin range) #_discard_options:_0=none;_1=define_retention;_2=retention&mortality;_3=all_discarded_dead;_4=define_dome-shaped_retention #_Pattern Discard Male Special 0 0 0 0 # 1 FISHERY1 @@ -224,13 +226,13 @@ #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_16; parm=2; Coleraine - Gaussian #Pattern:_17; parm=nages+1; empirical as random walk N parameters to read can be overridden by setting special to non-zero -#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (average over bin range) +#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (mean over bin range) #Pattern:_18; parm=8; double logistic - smooth transition #Pattern:_19; parm=6; simple 4-parm double logistic with starting age #Pattern:_20; parm=6; double_normal,using joiners #Pattern:_26; parm=3; exponential-logistic in age #Pattern:_27; parm=3+special; cubic spline in age; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (mean over bin range) #Age patterns entered with value >100 create Min_selage from first digit and pattern from remainder #_Pattern Discard Male Special 17 0 0 10 # 1 FISHERY1 @@ -243,27 +245,27 @@ # 3 SURVEY2 LenSelex # 1 FISHERY1 AgeSelex -1000 10 0 -1000 3 0 -2 0 0 0 0 0 0 0 # AgeSel_P1_FISHERY1(1) - -10 10 8.12188 3 3 0 2 0 0 1948 2011 4 0 0 # AgeSel_P2_FISHERY1(1) + -10 10 8.12334 3 3 0 2 0 0 1948 2011 4 0 0 # AgeSel_P2_FISHERY1(1) -10 10 1.0328 0 3 6 2 0 0 1948 2011 4 0 0 # AgeSel_P3_FISHERY1(1) - -10 10 0.0879188 0 3 6 2 0 0 1948 2011 4 0 0 # AgeSel_P4_FISHERY1(1) - -10 10 0.855115 0 3 6 2 0 0 1948 2011 4 0 0 # AgeSel_P5_FISHERY1(1) + -10 10 0.0879166 0 3 6 2 0 0 1948 2011 4 0 0 # AgeSel_P4_FISHERY1(1) + -10 10 0.855116 0 3 6 2 0 0 1948 2011 4 0 0 # AgeSel_P5_FISHERY1(1) -10 10 0.328 0 3 6 2 0 0 1948 2011 4 0 0 # AgeSel_P6_FISHERY1(1) - -10 10 0.0962403 0 3 6 2 0 0 1948 2011 4 0 0 # AgeSel_P7_FISHERY1(1) - -10 10 0.0909625 0 3 6 2 0 0 1948 2011 4 0 0 # AgeSel_P8_FISHERY1(1) - -10 10 -0.0444594 0 3 6 2 0 0 1948 2011 4 0 0 # AgeSel_P9_FISHERY1(1) - -10 10 0.538462 0 3 6 2 0 0 1948 2011 4 0 0 # AgeSel_P10_FISHERY1(1) + -10 10 0.0962404 0 3 6 2 0 0 1948 2011 4 0 0 # AgeSel_P7_FISHERY1(1) + -10 10 0.0909619 0 3 6 2 0 0 1948 2011 4 0 0 # AgeSel_P8_FISHERY1(1) + -10 10 -0.0444586 0 3 6 2 0 0 1948 2011 4 0 0 # AgeSel_P9_FISHERY1(1) + -10 10 0.538461 0 3 6 2 0 0 1948 2011 4 0 0 # AgeSel_P10_FISHERY1(1) -10 10 0 0 3 0 -5 0 0 0 0 0.25 0 0 # AgeSel_P11_FISHERY1(1) # 2 SURVEY1 AgeSelex -1000 10 0 -1000 3 0 -2 0 0 0 0 0 0 0 # AgeSel_P1_SURVEY1(2) - -10 10 7.49543 3 3 0 2 0 0 1948 2011 4 0 0 # AgeSel_P2_SURVEY1(2) - -10 10 0.639254 0 3 6 2 0 0 1948 2011 4 0 0 # AgeSel_P3_SURVEY1(2) - -10 10 0.846301 0 3 6 2 0 0 1948 2011 4 0 0 # AgeSel_P4_SURVEY1(2) + -10 10 7.48927 3 3 0 2 0 0 1948 2011 4 0 0 # AgeSel_P2_SURVEY1(2) + -10 10 0.639258 0 3 6 2 0 0 1948 2011 4 0 0 # AgeSel_P3_SURVEY1(2) + -10 10 0.8463 0 3 6 2 0 0 1948 2011 4 0 0 # AgeSel_P4_SURVEY1(2) -10 10 -0.417476 0 3 6 2 0 0 1948 2011 4 0 0 # AgeSel_P5_SURVEY1(2) -10 10 0.866247 0 3 6 2 0 0 1948 2011 4 0 0 # AgeSel_P6_SURVEY1(2) -10 10 -2.30091 0 3 6 2 0 0 1948 2011 4 0 0 # AgeSel_P7_SURVEY1(2) -10 10 2.13292 0 3 6 2 0 0 1948 2011 4 0 0 # AgeSel_P8_SURVEY1(2) -10 10 -0.124955 0 3 6 2 0 0 1948 2011 4 0 0 # AgeSel_P9_SURVEY1(2) - -10 10 -0.0881771 0 3 6 2 0 0 1948 2011 4 0 0 # AgeSel_P10_SURVEY1(2) + -10 10 -0.0881772 0 3 6 2 0 0 1948 2011 4 0 0 # AgeSel_P10_SURVEY1(2) -10 10 0 0 3 0 -5 0 0 0 0 0.25 0 0 # AgeSel_P11_SURVEY1(2) # 3 SURVEY2 AgeSelex 0 40 0 5 99 0 -99 0 0 0 0 0 0 0 # minage@sel=1_SURVEY2(3) @@ -271,8 +273,12 @@ #_No_Dirichlet parameters #_no timevary selex parameters # -0 # use 2D_AR1 selectivity(0/1) +0 # use 2D_AR1 selectivity? (0/1) #_no 2D_AR1 selex offset used +#_specs: fleet, ymin, ymax, amin, amax, sigma_amax, use_rho, len1/age2, devphase, before_range, after_range +#_sigma_amax>amin means create sigma parm for each bin from min to sigma_amax; sigma_amax<0 means just one sigma parm is read and used for all bins +#_needed parameters follow each fleet's specifications +# -9999 0 0 0 0 0 0 0 0 0 0 # terminator # # Tag loss and Tag reporting parameters go next 0 # TG_custom: 0=no read and autogen if tag data exist; 1=read diff --git a/models/Empirical_Wtatage_Age_Selex/data.ss b/models/Empirical_Wtatage_Age_Selex/data.ss index 5c63878..c6a58ac 100644 --- a/models/Empirical_Wtatage_Age_Selex/data.ss +++ b/models/Empirical_Wtatage_Age_Selex/data.ss @@ -1,21 +1,21 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov #_User_info_available_at:https://vlab.noaa.gov/group/stock-synthesis #_Source_code_at:_https://github.com/nmfs-stock-synthesis/stock-synthesis -#_Start_time: Tue Feb 14 23:22:45 2023 +#_Start_time: Tue Oct 31 16:38:34 2023 #_echo_input_data #C data file for simple example -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 1971 #_StartYr 2001 #_EndYr 1 #_Nseas 12 #_months/season 2 #_Nsubseasons (even number, minimum is 2) 1 #_spawn_month -2 #_Ngenders: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) +2 #_Nsexes: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) 40 #_Nages=accumulator age, first age is always age 0 1 #_Nareas 3 #_Nfleets (including surveys) @@ -138,7 +138,7 @@ 0.5 0.65 0.67 0.7 0.73 0.76 0.8 0.84 0.88 0.92 0.97 1.03 1.09 1.16 1.23 1.32 1.41 1.51 1.62 1.75 1.89 2.05 2.23 2.45 2.71 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie diff --git a/models/Empirical_Wtatage_Age_Selex/forecast.ss b/models/Empirical_Wtatage_Age_Selex/forecast.ss index 7ac83ab..2864ea4 100644 --- a/models/Empirical_Wtatage_Age_Selex/forecast.ss +++ b/models/Empirical_Wtatage_Age_Selex/forecast.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #C generic forecast file # for all year entries except rebuilder; enter either: actual year, -999 for styr, 0 for endyr, neg number for rel. endyr 1 # Benchmarks: 0=skip; 1=calc F_spr,F_btgt,F_msy; 2=calc F_spr,F0.1,F_msy; 3=add F_Blimit; @@ -16,27 +16,47 @@ # where none and simple require no input after this line; simple sets forecast F same as end year F 10 # N forecast years 0.2 # Fmult (only used for Do_Forecast==5) such that apical_F(f)=Fmult*relF(f) -#_Fcast_years: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) +#_Fcast_years for averaging: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) 0 0 -10 0 -999 0 # 2001 2001 1991 2001 1971 2001 -0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from annual time-vary parms) +0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from time-vary parms). NOTE: logic reverses in new format +# A revised protocol for the Fcast_yr specification is available and recommended. Template is below. +# +#-12345 # code to invoke new format for expanded fcast year controls +# biology and selectivity vectors are updated annually in the forecast according to timevary parameters, so check end year of blocks and dev vectors +# input in this section directs creation of means over historical years to override any time_vary changes +# Factors implemented so far: 1=M, 4=recr_dist, 5=migration, 10=selectivity, 11=rel_F, 12=recruitment +# rel_F and Recruitment also have additional controls later in forecast.ss +# input as list: Factor, method (0, 1), st_yr, end_yr +# Terminate with -9999 for Factor +# st_yr and end_yr input can be actual year; <=0 sets rel. to timeseries endyr; Except -999 for st_yr sets to first year if time series +# Method = 0 (or omitted) continue using time_vary parms; 1 use mean of derived factor over specified year range +# Factor method st_yr end_yr +# 10 1 0 0 # selectivity; use: 10 1 0 0 +# 11 1 -10 0 # rel_F; use: 11 1 -10 0 +# 12 1 -999 0 # recruitment; use: 12 1 -999 0 +#-9999 0 0 0 +# 1 # Control rule method (0: none; 1: ramp does catch=f(SSB), buffer on F; 2: ramp does F=f(SSB), buffer on F; 3: ramp does catch=f(SSB), buffer on catch; 4: ramp does F=f(SSB), buffer on catch) # values for top, bottom and buffer exist, but not used when Policy=0 0.4 # Control rule inflection for constant F (as frac of Bzero, e.g. 0.40); must be > control rule cutoff, or set to -1 to use Bmsy/SSB_unf 0.1 # Control rule cutoff for no F (as frac of Bzero, e.g. 0.10) 0.75 # Buffer: enter Control rule target as fraction of Flimit (e.g. 0.75), negative value invokes list of [year, scalar] with filling from year to YrMax +# 3 #_N forecast loops (1=OFL only; 2=ABC; 3=get F from forecast ABC catch with allocations applied) -3 #_First forecast loop with stochastic recruitment -0 #_Forecast recruitment: 0= spawn_recr; 1=value*spawn_recr_fxn; 2=value*VirginRecr; 3=recent mean from yr range above (need to set phase to -1 in control to get constant recruitment in MCMC) -1 # value is ignored -0 #_Forecast loop control #5 (reserved for future bells&whistles) -2010 #FirstYear for caps and allocations (should be after years with fixed inputs) +3 # First forecast loop with stochastic recruitment +0 # Forecast base recruitment: 0= spawn_recr; 1=mult*spawn_recr_fxn; 2=mult*VirginRecr; 3=deprecated; 4=mult*mean_over_yr_range +# for option 4, set phase for fore_recr_devs to -1 in control to get constant mean in MCMC, else devs will be applied +1 # Value multiplier is ignored +0 # not used +# +2010 # FirstYear for caps and allocations (should be after years with fixed inputs) 0 # stddev of log(realized catch/target catch) in forecast (set value>0.0 to cause active impl_error) 0 # Do West Coast gfish rebuilder output: 0=no; 1=yes 1999 # Rebuilder: first year catch could have been set to zero (Ydecl)(-1 to set to 1999) 2002 # Rebuilder: year for current age structure (Yinit) (-1 to set to endyear+1) -1 # fleet relative F: 1=use first-last alloc year; 2=read seas, fleet, alloc list below -# Note that fleet allocation is used directly as average F if Do_Forecast=4 +1 # fleet relative F: 1=use mean over year range; 2=read seas, fleet, alloc list below +# Note that fleet allocation values is used directly as F if Do_Forecast=4 2 # basis for fcast catch tuning and for fcast catch caps and allocation (2=deadbio; 3=retainbio; 5=deadnum; 6=retainnum); NOTE: same units for all fleets # Conditional input if relative F choice = 2 # enter list of: season, fleet, relF; if used, terminate with season=-9999 diff --git a/models/Empirical_Wtatage_Age_Selex/ss.par b/models/Empirical_Wtatage_Age_Selex/ss.par index 42b7646..076d21f 100644 --- a/models/Empirical_Wtatage_Age_Selex/ss.par +++ b/models/Empirical_Wtatage_Age_Selex/ss.par @@ -1,4 +1,4 @@ -# Number of parameters = 63 Objective function value = 566.287085088802 Maximum gradient component = 5.57643458358672e-05 +# Number of parameters = 63 Objective function value = 566.287085076162 Maximum gradient component = 9.05063248642688e-05 # dummy_parm: 1.00000000000 # MGparm[1]: @@ -52,9 +52,9 @@ # MGparm[25]: 0.500000000000 # SR_parm[1]: -8.81744369763 +8.81744370539 # SR_parm[2]: -0.595314667203 +0.595314749697 # SR_parm[3]: 0.600000000000 # SR_parm[4]: @@ -62,57 +62,57 @@ # SR_parm[5]: 0.00000000000 # recdev1: - 0.177904239305 -0.0977745093357 0.0417621420234 -0.306358371337 0.323543567218 0.166862088573 0.520225050236 -0.518329771753 0.589664053641 -0.218869003701 0.160331143269 -0.226304084202 -0.426189513410 -0.613982608832 0.580439739021 0.401447682697 0.0798442874038 0.184367899253 -0.355343933838 0.590506331674 -0.608374133515 -0.111174494933 -0.751971322713 0.372050101784 -0.641549151713 0.874420981557 0.895215857635 -0.414685002538 -0.679256616951 0.251537944949 -0.239960591468 + 0.177903970744 -0.0977746470956 0.0417631918231 -0.306359603555 0.323543074543 0.166863232331 0.520224722168 -0.518330362685 0.589664275791 -0.218868900856 0.160330755876 -0.226303513067 -0.426189894008 -0.613982961483 0.580440036552 0.401446975834 0.0798451914772 0.184366905959 -0.355342806725 0.590505777311 -0.608373252521 -0.111175320804 -0.751970294582 0.372049843167 -0.641549997788 0.874421303446 0.895215217197 -0.414684736607 -0.679256187735 0.251538047840 -0.239960042549 # Fcast_recruitments: 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 # Q_parm[1]: -0.970587755095 +0.970587746641 # Q_parm[2]: 0.00000000000 # Q_parm[3]: --6.59049818462 +-6.59049848723 # selparm[1]: 0.00000000000 # selparm[2]: -8.12187882633 +8.12334351727 # selparm[3]: -1.03280188198 +1.03280350996 # selparm[4]: -0.0879187730768 +0.0879165756399 # selparm[5]: -0.855115001610 +0.855116201253 # selparm[6]: -0.328000489439 +0.328000402476 # selparm[7]: -0.0962403412487 +0.0962404412457 # selparm[8]: -0.0909624638917 +0.0909619166005 # selparm[9]: --0.0444594226545 +-0.0444585544003 # selparm[10]: -0.538461661061 +0.538461188571 # selparm[11]: 0.00000000000 # selparm[12]: 0.00000000000 # selparm[13]: -7.49542999667 +7.48926947704 # selparm[14]: -0.639254018246 +0.639258101527 # selparm[15]: -0.846301125431 +0.846300369388 # selparm[16]: --0.417476005660 +-0.417476038157 # selparm[17]: -0.866247220618 +0.866247179601 # selparm[18]: --2.30091326676 +-2.30091433157 # selparm[19]: -2.13292384392 +2.13292474775 # selparm[20]: --0.124954832732 +-0.124954503209 # selparm[21]: --0.0881770647632 +-0.0881772270077 # selparm[22]: 0.00000000000 # selparm[23]: diff --git a/models/Empirical_Wtatage_Age_Selex/ss_summary.sso b/models/Empirical_Wtatage_Age_Selex/ss_summary.sso index 6d14e0a..9248876 100644 --- a/models/Empirical_Wtatage_Age_Selex/ss_summary.sso +++ b/models/Empirical_Wtatage_Age_Selex/ss_summary.sso @@ -1,20 +1,20 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 data.ss #_DataFile control.ss #_Control -Run_Date: Tue Feb 14 23:22:13 2023 -Final_phase: 5 N_iterations: 516 +Run_Date: Tue Oct 31 16:37:55 2023 +Final_phase: 5 N_iterations: 502 #_LIKELIHOOD Label logL*Lambda TOTAL_LogL 566.287 Catch 4.76545e-12 -Survey -3.30527 +Survey -3.30526 Age_comp 574.331 Recruitment -6.56983 InitEQ_regime 1.54502e-30 Sum_recdevs 8.60423e-16 Forecast_Recruitment 0 Parm_priors 1.82918 -Parm_softbounds 0.00204653 +Parm_softbounds 0.00204512 Parm_devs 0 F_Ballpark 0 Crash_Pen 0 @@ -48,41 +48,41 @@ CohortGrowDev 1 0 Fix 0.0909091 FracFemale_GP_1 0.5 0 Fix 0.499999 #_SPAWN_RECR SR_LN(R0) 8.81744 0.032974 Act 0.207766 -SR_BH_steep 0.595315 0.0697958 Act 0.494143 +SR_BH_steep 0.595315 0.0697959 Act 0.494143 SR_sigmaR 0.6 0 Fix 0.3 SR_regime 0 0 Fix 0.5 SR_autocorr 0 0 Fix 0 Main_RecrDev_1971 0.177904 0.324992 Act 0.51779 -Main_RecrDev_1972 -0.0977745 0.440058 Act 0.490223 -Main_RecrDev_1973 0.0417621 0.370364 Act 0.504176 -Main_RecrDev_1974 -0.306358 0.409381 Act 0.469364 -Main_RecrDev_1975 0.323544 0.29986 Act 0.532354 -Main_RecrDev_1976 0.166862 0.427374 Act 0.516686 +Main_RecrDev_1972 -0.0977746 0.440058 Act 0.490222 +Main_RecrDev_1973 0.0417632 0.370364 Act 0.504176 +Main_RecrDev_1974 -0.30636 0.409382 Act 0.469364 +Main_RecrDev_1975 0.323543 0.29986 Act 0.532354 +Main_RecrDev_1976 0.166863 0.427374 Act 0.516686 Main_RecrDev_1977 0.520225 0.269507 Act 0.552022 -Main_RecrDev_1978 -0.51833 0.432166 Act 0.448167 +Main_RecrDev_1978 -0.51833 0.432167 Act 0.448167 Main_RecrDev_1979 0.589664 0.226056 Act 0.558966 Main_RecrDev_1980 -0.218869 0.43658 Act 0.478113 Main_RecrDev_1981 0.160331 0.268404 Act 0.516033 Main_RecrDev_1982 -0.226304 0.368496 Act 0.47737 Main_RecrDev_1983 -0.42619 0.39305 Act 0.457381 -Main_RecrDev_1984 -0.613983 0.41257 Act 0.438602 +Main_RecrDev_1984 -0.613983 0.412571 Act 0.438602 Main_RecrDev_1985 0.58044 0.242236 Act 0.558044 -Main_RecrDev_1986 0.401448 0.301478 Act 0.540145 -Main_RecrDev_1987 0.0798443 0.330569 Act 0.507984 -Main_RecrDev_1988 0.184368 0.269543 Act 0.518437 -Main_RecrDev_1989 -0.355344 0.376876 Act 0.464466 +Main_RecrDev_1986 0.401447 0.301479 Act 0.540145 +Main_RecrDev_1987 0.0798452 0.33057 Act 0.507984 +Main_RecrDev_1988 0.184367 0.269544 Act 0.518437 +Main_RecrDev_1989 -0.355343 0.376877 Act 0.464466 Main_RecrDev_1990 0.590506 0.19657 Act 0.559051 -Main_RecrDev_1991 -0.608374 0.38072 Act 0.439163 -Main_RecrDev_1992 -0.111174 0.277513 Act 0.488883 -Main_RecrDev_1993 -0.751971 0.357028 Act 0.424803 +Main_RecrDev_1991 -0.608373 0.38072 Act 0.439163 +Main_RecrDev_1992 -0.111175 0.277513 Act 0.488882 +Main_RecrDev_1993 -0.75197 0.357028 Act 0.424803 Main_RecrDev_1994 0.37205 0.218115 Act 0.537205 -Main_RecrDev_1995 -0.641549 0.365424 Act 0.435845 +Main_RecrDev_1995 -0.64155 0.365424 Act 0.435845 Main_RecrDev_1996 0.874421 0.221102 Act 0.587442 -Main_RecrDev_1997 0.895216 0.275708 Act 0.589522 +Main_RecrDev_1997 0.895215 0.275709 Act 0.589521 Main_RecrDev_1998 -0.414685 0.389218 Act 0.458531 -Main_RecrDev_1999 -0.679257 0.402976 Act 0.432074 -Main_RecrDev_2000 0.251538 0.363339 Act 0.525154 -Main_RecrDev_2001 -0.239961 0.447659 Act 0.476004 +Main_RecrDev_1999 -0.679256 0.402976 Act 0.432074 +Main_RecrDev_2000 0.251538 0.36334 Act 0.525154 +Main_RecrDev_2001 -0.23996 0.447659 Act 0.476004 ForeRecr_2002 0 0.6 Act 0.5 ForeRecr_2003 0 0.6 Act 0.5 ForeRecr_2004 0 0.6 Act 0.5 @@ -99,26 +99,26 @@ Q_extraSD_SURVEY1(2) 0 0 Fix 0 LnQ_base_SURVEY2(3) -6.5905 0.280848 Act 0.0341251 #_Selectivity AgeSel_P1_FISHERY1(1) 0 0 Fix 0.990099 -AgeSel_P2_FISHERY1(1) 8.12188 36.122 Act 0.906094 +AgeSel_P2_FISHERY1(1) 8.12334 36.1344 Act 0.906167 AgeSel_P3_FISHERY1(1) 1.0328 0.604274 Act 0.55164 -AgeSel_P4_FISHERY1(1) 0.0879188 0.522117 Act 0.504396 -AgeSel_P5_FISHERY1(1) 0.855115 0.45977 Act 0.542756 +AgeSel_P4_FISHERY1(1) 0.0879166 0.522118 Act 0.504396 +AgeSel_P5_FISHERY1(1) 0.855116 0.459771 Act 0.542756 AgeSel_P6_FISHERY1(1) 0.328 0.407158 Act 0.5164 -AgeSel_P7_FISHERY1(1) 0.0962403 0.48471 Act 0.504812 -AgeSel_P8_FISHERY1(1) 0.0909625 0.548253 Act 0.504548 -AgeSel_P9_FISHERY1(1) -0.0444594 0.5451 Act 0.497777 -AgeSel_P10_FISHERY1(1) 0.538462 0.294106 Act 0.526923 +AgeSel_P7_FISHERY1(1) 0.0962404 0.484711 Act 0.504812 +AgeSel_P8_FISHERY1(1) 0.0909619 0.548254 Act 0.504548 +AgeSel_P9_FISHERY1(1) -0.0444586 0.545101 Act 0.497777 +AgeSel_P10_FISHERY1(1) 0.538461 0.294106 Act 0.526923 AgeSel_P11_FISHERY1(1) 0 0 Fix 0.5 AgeSel_P1_SURVEY1(2) 0 0 Fix 0.990099 -AgeSel_P2_SURVEY1(2) 7.49543 44.6738 Act 0.874771 -AgeSel_P3_SURVEY1(2) 0.639254 0.616562 Act 0.531963 -AgeSel_P4_SURVEY1(2) 0.846301 0.615499 Act 0.542315 -AgeSel_P5_SURVEY1(2) -0.417476 0.652526 Act 0.479126 +AgeSel_P2_SURVEY1(2) 7.48927 44.5917 Act 0.874463 +AgeSel_P3_SURVEY1(2) 0.639258 0.616567 Act 0.531963 +AgeSel_P4_SURVEY1(2) 0.8463 0.615499 Act 0.542315 +AgeSel_P5_SURVEY1(2) -0.417476 0.652527 Act 0.479126 AgeSel_P6_SURVEY1(2) 0.866247 0.544909 Act 0.543312 AgeSel_P7_SURVEY1(2) -2.30091 1.20781 Act 0.384954 AgeSel_P8_SURVEY1(2) 2.13292 1.22119 Act 0.606646 AgeSel_P9_SURVEY1(2) -0.124955 0.563043 Act 0.493752 -AgeSel_P10_SURVEY1(2) -0.0881771 0.380978 Act 0.495591 +AgeSel_P10_SURVEY1(2) -0.0881772 0.380978 Act 0.495591 AgeSel_P11_SURVEY1(2) 0 0 Fix 0.5 minage@sel=1_SURVEY2(3) 0 0 Fix 0 maxage@sel=1_SURVEY2(3) 0 0 Fix 0 @@ -149,11 +149,11 @@ SSB_1990 9912.76 498.229 SSB_1991 8555.67 473.312 SSB_1992 7668.49 470.237 SSB_1993 7475.65 491.096 -SSB_1994 7239.63 529.184 +SSB_1994 7239.63 529.185 SSB_1995 6936.88 582.593 SSB_1996 6502.77 649.008 SSB_1997 5920.12 721.815 -SSB_1998 5573.59 803.602 +SSB_1998 5573.6 803.602 SSB_1999 5229.42 898.367 SSB_2000 4957.32 1021.33 SSB_2001 4840.63 1185.71 @@ -162,45 +162,45 @@ SSB_2003 5795.88 1633.91 SSB_2004 6655.96 1730.91 SSB_2005 7380.33 1802.84 SSB_2006 7966.67 1850.45 -SSB_2007 8445.22 1891.45 +SSB_2007 8445.23 1891.45 SSB_2008 8877.08 1955.6 SSB_2009 9301.69 2053.71 SSB_2010 9729.34 2178.33 SSB_2011 10173.7 2325.18 #_Recruitment -Recr_Virgin 6750.98 222.607 -Recr_Initial 6750.98 222.607 +Recr_Virgin 6750.99 222.607 +Recr_Initial 6750.99 222.607 Recr_1971 6736.85 2125.72 Recr_1972 5113.65 2249.08 Recr_1973 5877.7 2158.76 -Recr_1974 4143.77 1689.79 +Recr_1974 4143.76 1689.79 Recr_1975 7768.25 2291.79 -Recr_1976 6621.22 2821.98 +Recr_1976 6621.23 2821.99 Recr_1977 9381.04 2472.84 Recr_1978 3297.07 1427.58 Recr_1979 9890.28 2172.68 Recr_1980 4354.01 1899.75 Recr_1981 6254.97 1659.97 -Recr_1982 4150.42 1523.64 +Recr_1982 4150.43 1523.64 Recr_1983 3309.09 1296.77 Recr_1984 2660.41 1107.06 -Recr_1985 8475.99 2010.85 -Recr_1986 6783.61 2042.4 -Recr_1987 4649.4 1543.82 -Recr_1988 4787.49 1267.29 -Recr_1989 2558.56 985.984 -Recr_1990 6030.29 1120.09 +Recr_1985 8476 2010.85 +Recr_1986 6783.6 2042.4 +Recr_1987 4649.41 1543.83 +Recr_1988 4787.48 1267.3 +Recr_1989 2558.56 985.987 +Recr_1990 6030.29 1120.1 Recr_1991 1682.69 682.01 Recr_1992 2602.47 723.239 Recr_1993 1351.24 524.275 Recr_1994 4081.12 975.243 Recr_1995 1444.15 599.564 -Recr_1996 6324.71 1712.72 +Recr_1996 6324.72 1712.72 Recr_1997 6090.94 2067.26 -Recr_1998 1581.32 721.813 -Recr_1999 1164.1 560.965 +Recr_1998 1581.32 721.814 +Recr_1999 1164.1 560.966 Recr_2000 2849.24 1298.14 -Recr_2001 1715.05 927.3 +Recr_2001 1715.05 927.301 Recr_2002 2612.55 1797.87 Recr_2003 2939.07 1987.28 Recr_2004 3203.43 2123.32 @@ -210,7 +210,7 @@ Recr_2007 3675.41 2367.38 Recr_2008 3776.1 2421.8 Recr_2009 3870.76 2474.68 Recr_2010 3962.02 2526.42 -Recr_2011 4052.81 2578.09 +Recr_2011 4052.82 2578.09 #_SPR Basis= (1-SPR)/(1-SPR_40%) SPRratio_1972 0.0390711 0.0012155 SPRratio_1973 0.181913 0.00518637 @@ -226,7 +226,7 @@ SPRratio_1982 1.16801 0.0125811 SPRratio_1983 1.21477 0.0120613 SPRratio_1984 1.25661 0.0128838 SPRratio_1985 1.30405 0.0130205 -SPRratio_1986 1.3471 0.0122357 +SPRratio_1986 1.3471 0.0122358 SPRratio_1987 1.40432 0.0104452 SPRratio_1988 1.42045 0.0108738 SPRratio_1989 1.43603 0.0111603 @@ -244,9 +244,9 @@ SPRratio_2000 1.36583 0.0696331 SPRratio_2001 1.36223 0.0828896 SPRratio_2002 0.00015302 4.42626e-05 SPRratio_2003 0.251585 0.391555 -SPRratio_2004 0.413169 0.257473 +SPRratio_2004 0.41317 0.257473 SPRratio_2005 0.503888 0.192854 -SPRratio_2006 0.559218 0.157107 +SPRratio_2006 0.559219 0.157107 SPRratio_2007 0.596059 0.135747 SPRratio_2008 0.624423 0.122125 SPRratio_2009 0.648703 0.112682 @@ -267,7 +267,7 @@ F_1982 1.4673 0.0442418 F_1983 1.64749 0.0509762 F_1984 1.83731 0.0626951 F_1985 2.09575 0.0802576 -F_1986 2.3843 0.088478 +F_1986 2.3843 0.0884781 F_1987 2.88567 0.111282 F_1988 3.06099 0.122453 F_1989 3.24942 0.145679 @@ -279,7 +279,7 @@ F_1994 2.43582 0.195368 F_1995 2.54518 0.240754 F_1996 2.78383 0.3188 F_1997 2.25267 0.311397 -F_1998 2.39615 0.386683 +F_1998 2.39615 0.386682 F_1999 2.41429 0.459657 F_2000 2.53095 0.570932 F_2001 2.50161 0.666032 @@ -317,7 +317,7 @@ Bratio_1992 0.383201 0.0224584 Bratio_1993 0.373564 0.0239708 Bratio_1994 0.36177 0.0261781 Bratio_1995 0.346642 0.0290095 -Bratio_1996 0.324949 0.0323679 +Bratio_1996 0.324949 0.032368 Bratio_1997 0.295833 0.0359989 Bratio_1998 0.278517 0.0401099 Bratio_1999 0.261318 0.0448763 @@ -326,7 +326,7 @@ Bratio_2001 0.24189 0.0593331 Bratio_2002 0.242221 0.0697823 Bratio_2003 0.289625 0.0819485 Bratio_2004 0.332604 0.0869275 -Bratio_2005 0.368801 0.0906641 +Bratio_2005 0.368801 0.0906642 Bratio_2006 0.398101 0.0932027 Bratio_2007 0.422015 0.09545 Bratio_2008 0.443595 0.0989132 @@ -337,11 +337,11 @@ Bratio_2011 0.50839 0.118336 SSB_unfished 50029.2 1649.66 Totbio_unfished 124948 4120.02 SmryBio_unfished 124441 4103.32 -Recr_unfished 6750.98 222.607 +Recr_unfished 6750.99 222.607 SSB_Btgt 17110 564.184 SPR_Btgt 0.453824 0.0323968 -annF_Btgt 0.0786324 0.00966627 -Dead_Catch_Btgt 3149.4 347.288 +annF_Btgt 0.0786325 0.00966627 +Dead_Catch_Btgt 3149.4 347.289 SSB_SPR 13865.9 1955.87 annF_SPR 0.0954937 0.00215913 Dead_Catch_SPR 3130.31 445.993 @@ -356,11 +356,11 @@ ForeCatch_2003 195.872 401.864 ForeCatch_2004 380.852 397.372 ForeCatch_2005 559.955 423.118 ForeCatch_2006 723.781 452.275 -ForeCatch_2007 822.01 453.145 +ForeCatch_2007 822.011 453.145 ForeCatch_2008 902.094 452.589 -ForeCatch_2009 1007.63 471.391 -ForeCatch_2010 1093.48 479.899 -ForeCatch_2011 1193.42 495.609 +ForeCatch_2009 1007.63 471.392 +ForeCatch_2010 1093.48 479.9 +ForeCatch_2011 1193.42 495.61 OFLCatch_2002 1207.91 342.203 OFLCatch_2003 1386.73 387.296 OFLCatch_2004 1492.04 391.818 @@ -376,20 +376,20 @@ AgeSelex_std_1_Fem_A_1 0.0505374 0.0201299 AgeSelex_std_1_Fem_A_3 0.155001 0.0493775 AgeSelex_std_1_Fem_A_5 0.506007 0.120297 AgeSelex_std_1_Fem_A_7 0.610179 0.184488 -AgeSelex_std_1_Fem_A_8 0.583645 0.171653 +AgeSelex_std_1_Fem_A_8 0.583646 0.171654 AgeSelex_std_1_Mal_A_1 0.0505374 0.0201299 AgeSelex_std_1_Mal_A_3 0.155001 0.0493775 AgeSelex_std_1_Mal_A_5 0.506007 0.120297 AgeSelex_std_1_Mal_A_7 0.610179 0.184488 -AgeSelex_std_1_Mal_A_8 0.583645 0.171653 -NatAge_std_1_Fem_A_1 775.916 419.527 -NatAge_std_1_Fem_A_2 1152.38 527.96 -NatAge_std_1_Fem_A_14 89.1513 37.263 +AgeSelex_std_1_Mal_A_8 0.583646 0.171654 +NatAge_std_1_Fem_A_1 775.917 419.527 +NatAge_std_1_Fem_A_2 1152.38 527.961 +NatAge_std_1_Fem_A_14 89.1512 37.263 NatAge_std_1_Fem_A_26 2.34415 1.37709 NatAge_std_1_Fem_A_40 3.6793 1.51787 -NatAge_std_1_Mal_A_1 775.916 419.527 -NatAge_std_1_Mal_A_2 1152.38 527.96 -NatAge_std_1_Mal_A_14 89.1513 37.263 +NatAge_std_1_Mal_A_1 775.917 419.527 +NatAge_std_1_Mal_A_2 1152.38 527.961 +NatAge_std_1_Mal_A_14 89.1512 37.263 NatAge_std_1_Mal_A_26 2.34415 1.37709 NatAge_std_1_Mal_A_40 3.6793 1.51787 ln(SPB)_1971 10.8204 0.032974 @@ -432,7 +432,7 @@ SmryBio_2002 18274.2 0.0 SmryBio_2003 20200.8 0.0 SmryBio_2004 21941.4 0.0 SmryBio_2005 23535.3 0.0 -SmryBio_2006 25015.3 0.0 +SmryBio_2006 25015.4 0.0 SmryBio_2007 26416.1 0.0 SmryBio_2008 27809.5 0.0 SmryBio_2009 29215.4 0.0 @@ -521,7 +521,7 @@ TotCatch_2003 195.872 0.0 TotCatch_2004 380.852 0.0 TotCatch_2005 559.955 0.0 TotCatch_2006 723.781 0.0 -TotCatch_2007 822.01 0.0 +TotCatch_2007 822.011 0.0 TotCatch_2008 902.094 0.0 TotCatch_2009 1007.63 0.0 TotCatch_2010 1093.48 0.0 diff --git a/models/Empirical_Wtatage_Age_Selex/starter.ss b/models/Empirical_Wtatage_Age_Selex/starter.ss index e03f543..58c3dd6 100644 --- a/models/Empirical_Wtatage_Age_Selex/starter.ss +++ b/models/Empirical_Wtatage_Age_Selex/starter.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -9,9 +9,9 @@ data.ss control.ss 0 # 0=use init values in control file; 1=use ss.par -1 # run display detail (0,1,2) +1 # run display detail (0 = minimal; 1=one line per iter; 2=each logL) 1 # detailed output (0=minimal for data-limited, 1=high (w/ wtatage.ss_new), 2=brief, 3=custom) -# custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end +#COND: custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end 0 # write 1st iteration details to echoinput.sso file (0,1) 0 # write parm values to ParmTrace.sso (0=no,1=good,active; 2=good,all; 3=every_iter,all_parms; 4=every,active) 1 # write to cumreport.sso (0=no,1=like×eries; 2=add survey fits) @@ -27,7 +27,7 @@ control.ss 1969 # min yr for sdreport outputs (-1 for styr); #_1969 2011 # max yr for sdreport outputs (-1 for endyr+1; -2 for endyr+Nforecastyrs); #_2011 0 # N individual STD years -#vector of year values +#COND: vector of year values if N>0 0.0001 # final convergence criteria (e.g. 1.0e-04) 0 # retrospective year relative to end year (e.g. -4) @@ -35,10 +35,10 @@ control.ss 1 # Depletion basis: denom is: 0=skip; 1=X*SPBvirgin; 2=X*SPBmsy; 3=X*SPB_styr; 4=X*SPB_endyr; 5=X*dyn_Bzero; values>=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) 0.4 # Fraction (X) for Depletion denominator (e.g. 0.4) 1 # SPR_report_basis: 0=skip; 1=(1-SPR)/(1-SPR_tgt); 2=(1-SPR)/(1-SPR_MSY); 3=(1-SPR)/(1-SPR_Btarget); 4=rawSPR -4 # F_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=true F for range of ages; 5=unweighted avg. F for range of ages - 20 23 #_min and max age over which average F will be calculated, with F=Z-M -1 # F_std_basis: 0=raw_annual_F; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual_F; values >=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) +4 # F_std_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=mean F for range of ages (numbers weighted); 5=unweighted mean F for range of ages + 20 23 # min and max age over which mean F will be calculated, with F=Z-M +1 # F_std_scaling: 0=no scaling; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual F_std, Fmsy means F_std@msy; values >=11 invoke N multiyr (up to 9!) using 10's digit; >100 invokes log(ratio) 0.08 # MCMC output detail: integer part (0=default; 1=adds obj func components; 2= +write_report_for_each_mceval); and decimal part (added to SR_LN(R0) on first call to mcmc) -0 # ALK tolerance ***disabled in code (example 0.0001) --1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1676416965 +0 # ALK tolerance ***disabled in code +-1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1698770314 3.30 # check value for end of file and for version control diff --git a/models/Empirical_Wtatage_Age_Selex/warning.sso b/models/Empirical_Wtatage_Age_Selex/warning.sso index 9f03411..7f0d247 100644 --- a/models/Empirical_Wtatage_Age_Selex/warning.sso +++ b/models/Empirical_Wtatage_Age_Selex/warning.sso @@ -1,3 +1,4 @@ Warning 1 : fishing fleet: 1 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month Note 1 Suggestion: This model has just one settlement event. Changing to recr_dist_method 4 and removing the recruitment distribution parameters at the end of the MG parms section (below growth parameters) will produce identical results and simplify the model. - 1 warning and 1 note +Note 2 Information: A revised protocol for the Fcast_yr specification is available and recommended. + 1 warning and 2 notes diff --git a/models/Hake_2018/2018hake_control.SS b/models/Hake_2018/2018hake_control.SS index d17d3c5..ec2fda6 100644 --- a/models/Hake_2018/2018hake_control.SS +++ b/models/Hake_2018/2018hake_control.SS @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -11,6 +11,7 @@ 1 #_N_Growth_Patterns (Growth Patterns, Morphs, Bio Patterns, GP are terms used interchangeably in SS3) 1 #_N_platoons_Within_GrowthPattern #_Cond 1 #_Platoon_within/between_stdev_ratio (no read if N_platoons=1) +#_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # 2 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) @@ -50,8 +51,8 @@ #_no additional input for selected M option; read 1P per morph # 1 # GrowthModel: 1=vonBert with L1&L2; 2=Richards with L1&L2; 3=age_specific_K_incr; 4=age_specific_K_decr; 5=age_specific_K_each; 6=NA; 7=NA; 8=growth cessation -1 #_Age(post-settlement)_for_L1;linear growth below this -20 #_Growth_Age_for_L2 (999 to use as Linf) +1 #_Age(post-settlement) for L1 (aka Amin); first growth parameter is size at this age; linear growth below this +20 #_Age(post-settlement) for L2 (aka Amax); 999 to treat as Linf -999 #_exponential decay for growth above maxage (value should approx initial Z; -999 replicates 3.24; -998 to not allow growth above maxage) 0 #_placeholder for future growth feature # @@ -93,6 +94,7 @@ # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement +# Platoon StDev Ratio # Age Error from parameters # catch multiplier # fraction female, by GP @@ -117,7 +119,7 @@ 0 2 0 1 99 0 -50 0 0 0 0 0 0 0 # SR_autocorr #_no timevary SR parameters 1 #do_recdev: 0=none; 1=devvector (R=F(SSB)+dev); 2=deviations (R=F(SSB)+dev); 3=deviations (R=R0*dev; dev2=R-f(SSB)); 4=like 3 with sum(dev2) adding penalty -1970 # first year of main recr_devs; early devs can preceed this era +1970 # first year of main recr_devs; early devs can precede this era 2016 # last year of main recr_devs; forecast devs start in following year 1 #_recdev phase 1 # (0/1) to read 13 advanced options @@ -184,7 +186,7 @@ #Pattern:_11; parm=2; selex=1.0 for specified min-max population length bin range #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_6; parm=2+special; non-parm len selex -#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (average over bin range) +#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (mean over bin range) #Pattern:_8; parm=8; double_logistic with smooth transitions and constant above Linf option #Pattern:_9; parm=6; simple 4-parm double logistic with starting length; parm 5 is first length; parm 6=1 does desc as offset #Pattern:_21; parm=2+special; non-parm len selex, read as pairs of size, then selex @@ -194,7 +196,7 @@ #Pattern:_2; parm=6; double_normal with sel(minL) and sel(maxL), using joiners, back compatibile version of 24 with 3.30.18 and older #Pattern:_25; parm=3; exponential-logistic in length #Pattern:_27; parm=special+3; cubic spline in length; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (mean over bin range) #_discard_options:_0=none;_1=define_retention;_2=retention&mortality;_3=all_discarded_dead;_4=define_dome-shaped_retention #_Pattern Discard Male Special 0 0 0 0 # 1 Fishery @@ -210,13 +212,13 @@ #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_16; parm=2; Coleraine - Gaussian #Pattern:_17; parm=nages+1; empirical as random walk N parameters to read can be overridden by setting special to non-zero -#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (average over bin range) +#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (mean over bin range) #Pattern:_18; parm=8; double logistic - smooth transition #Pattern:_19; parm=6; simple 4-parm double logistic with starting age #Pattern:_20; parm=6; double_normal,using joiners #Pattern:_26; parm=3; exponential-logistic in age #Pattern:_27; parm=3+special; cubic spline in age; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (mean over bin range) #Age patterns entered with value >100 create Min_selage from first digit and pattern from remainder #_Pattern Discard Male Special 17 0 0 20 # 1 Fishery @@ -287,8 +289,12 @@ -0.99 0.99 0 0 0.5 -1 -6 # AgeSel_P7_Fishery(1)_dev_autocorr # info on dev vectors created for selex parms are reported with other devs after tag parameter section # -0 # use 2D_AR1 selectivity(0/1) +0 # use 2D_AR1 selectivity? (0/1) #_no 2D_AR1 selex offset used +#_specs: fleet, ymin, ymax, amin, amax, sigma_amax, use_rho, len1/age2, devphase, before_range, after_range +#_sigma_amax>amin means create sigma parm for each bin from min to sigma_amax; sigma_amax<0 means just one sigma parm is read and used for all bins +#_needed parameters follow each fleet's specifications +# -9999 0 0 0 0 0 0 0 0 0 0 # terminator # # Tag loss and Tag reporting parameters go next 0 # TG_custom: 0=no read and autogen if tag data exist; 1=read diff --git a/models/Hake_2018/2018hake_data.SS b/models/Hake_2018/2018hake_data.SS index fb4b01a..d3248f3 100644 --- a/models/Hake_2018/2018hake_data.SS +++ b/models/Hake_2018/2018hake_data.SS @@ -1,21 +1,21 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov #_User_info_available_at:https://vlab.noaa.gov/group/stock-synthesis #_Source_code_at:_https://github.com/nmfs-stock-synthesis/stock-synthesis -#_Start_time: Tue Feb 14 23:25:06 2023 +#_Start_time: Tue Oct 31 16:39:32 2023 #_echo_input_data #C 2018 Hake data file -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 1966 #_StartYr 2017 #_EndYr 1 #_Nseas 12 #_months/season 2 #_Nsubseasons (even number, minimum is 2) 1 #_spawn_month -1 #_Ngenders: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) +1 #_Nsexes: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) 20 #_Nages=accumulator age, first age is always age 0 1 #_Nareas 2 #_Nfleets (including surveys) @@ -150,7 +150,7 @@ 1 # use length composition data (0/1/2) where 2 invokes new comp_control format #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie @@ -262,7 +262,7 @@ 0.329242 0.329242 0.346917 0.202748 0.395312 0.42809 0.468362 0.284813 0.57863 0.653316 0.745076 0.857813 0.996322 1.1665 1.37557 1.63244 1.858 2.172 1.3915 2.934 3.388 #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie diff --git a/models/Hake_2018/forecast.ss b/models/Hake_2018/forecast.ss index dcbb59c..9c52248 100644 --- a/models/Hake_2018/forecast.ss +++ b/models/Hake_2018/forecast.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #C 2018 Hake forecast file # for all year entries except rebuilder; enter either: actual year, -999 for styr, 0 for endyr, neg number for rel. endyr 1 # Benchmarks: 0=skip; 1=calc F_spr,F_btgt,F_msy; 2=calc F_spr,F0.1,F_msy; 3=add F_Blimit; @@ -16,27 +16,47 @@ # where none and simple require no input after this line; simple sets forecast F same as end year F 3 # N forecast years 1 # Fmult (only used for Do_Forecast==5) such that apical_F(f)=Fmult*relF(f) -#_Fcast_years: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) +#_Fcast_years for averaging: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) -4 0 -4 0 -999 0 # 2013 2017 2013 2017 1966 2017 -0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from annual time-vary parms) +0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from time-vary parms). NOTE: logic reverses in new format +# A revised protocol for the Fcast_yr specification is available and recommended. Template is below. +# +#-12345 # code to invoke new format for expanded fcast year controls +# biology and selectivity vectors are updated annually in the forecast according to timevary parameters, so check end year of blocks and dev vectors +# input in this section directs creation of means over historical years to override any time_vary changes +# Factors implemented so far: 1=M, 4=recr_dist, 5=migration, 10=selectivity, 11=rel_F, 12=recruitment +# rel_F and Recruitment also have additional controls later in forecast.ss +# input as list: Factor, method (0, 1), st_yr, end_yr +# Terminate with -9999 for Factor +# st_yr and end_yr input can be actual year; <=0 sets rel. to timeseries endyr; Except -999 for st_yr sets to first year if time series +# Method = 0 (or omitted) continue using time_vary parms; 1 use mean of derived factor over specified year range +# Factor method st_yr end_yr +# 10 1 -4 0 # selectivity; use: 10 1 -4 0 +# 11 1 -4 0 # rel_F; use: 11 1 -4 0 +# 12 1 -999 0 # recruitment; use: 12 1 -999 0 +#-9999 0 0 0 +# 1 # Control rule method (0: none; 1: ramp does catch=f(SSB), buffer on F; 2: ramp does F=f(SSB), buffer on F; 3: ramp does catch=f(SSB), buffer on catch; 4: ramp does F=f(SSB), buffer on catch) # values for top, bottom and buffer exist, but not used when Policy=0 0.4 # Control rule inflection for constant F (as frac of Bzero, e.g. 0.40); must be > control rule cutoff, or set to -1 to use Bmsy/SSB_unf 0.1 # Control rule cutoff for no F (as frac of Bzero, e.g. 0.10) 1 # Buffer: enter Control rule target as fraction of Flimit (e.g. 0.75), negative value invokes list of [year, scalar] with filling from year to YrMax +# 3 #_N forecast loops (1=OFL only; 2=ABC; 3=get F from forecast ABC catch with allocations applied) -3 #_First forecast loop with stochastic recruitment -0 #_Forecast recruitment: 0= spawn_recr; 1=value*spawn_recr_fxn; 2=value*VirginRecr; 3=recent mean from yr range above (need to set phase to -1 in control to get constant recruitment in MCMC) -1 # value is ignored -0 #_Forecast loop control #5 (reserved for future bells&whistles) -2020 #FirstYear for caps and allocations (should be after years with fixed inputs) +3 # First forecast loop with stochastic recruitment +0 # Forecast base recruitment: 0= spawn_recr; 1=mult*spawn_recr_fxn; 2=mult*VirginRecr; 3=deprecated; 4=mult*mean_over_yr_range +# for option 4, set phase for fore_recr_devs to -1 in control to get constant mean in MCMC, else devs will be applied +1 # Value multiplier is ignored +0 # not used +# +2020 # FirstYear for caps and allocations (should be after years with fixed inputs) 0 # stddev of log(realized catch/target catch) in forecast (set value>0.0 to cause active impl_error) 0 # Do West Coast gfish rebuilder output: 0=no; 1=yes 1999 # Rebuilder: first year catch could have been set to zero (Ydecl)(-1 to set to 1999) 2002 # Rebuilder: year for current age structure (Yinit) (-1 to set to endyear+1) -1 # fleet relative F: 1=use first-last alloc year; 2=read seas, fleet, alloc list below -# Note that fleet allocation is used directly as average F if Do_Forecast=4 +1 # fleet relative F: 1=use mean over year range; 2=read seas, fleet, alloc list below +# Note that fleet allocation values is used directly as F if Do_Forecast=4 2 # basis for fcast catch tuning and for fcast catch caps and allocation (2=deadbio; 3=retainbio; 5=deadnum; 6=retainnum); NOTE: same units for all fleets # Conditional input if relative F choice = 2 # enter list of: season, fleet, relF; if used, terminate with season=-9999 diff --git a/models/Hake_2018/ss_summary.sso b/models/Hake_2018/ss_summary.sso index a055cca..ef68592 100644 --- a/models/Hake_2018/ss_summary.sso +++ b/models/Hake_2018/ss_summary.sso @@ -1,7 +1,7 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 2018hake_data.SS #_DataFile 2018hake_control.SS #_Control -Run_Date: Tue Feb 14 23:24:41 2023 +Run_Date: Tue Oct 31 16:38:59 2023 Final_phase: 5 N_iterations: 1606 #_LIKELIHOOD Label logL*Lambda diff --git a/models/Hake_2018/starter.ss b/models/Hake_2018/starter.ss index d1c20a1..f53e49f 100644 --- a/models/Hake_2018/starter.ss +++ b/models/Hake_2018/starter.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -9,9 +9,9 @@ 2018hake_data.SS 2018hake_control.SS 0 # 0=use init values in control file; 1=use ss.par -0 # run display detail (0,1,2) +0 # run display detail (0 = minimal; 1=one line per iter; 2=each logL) 1 # detailed output (0=minimal for data-limited, 1=high (w/ wtatage.ss_new), 2=brief, 3=custom) -# custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end +#COND: custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end 0 # write 1st iteration details to echoinput.sso file (0,1) 0 # write parm values to ParmTrace.sso (0=no,1=good,active; 2=good,all; 3=every_iter,all_parms; 4=every,active) 0 # write to cumreport.sso (0=no,1=like×eries; 2=add survey fits) @@ -27,7 +27,7 @@ -1 # min yr for sdreport outputs (-1 for styr); #_1964 -2 # max yr for sdreport outputs (-1 for endyr+1; -2 for endyr+Nforecastyrs); #_2020 0 # N individual STD years -#vector of year values +#COND: vector of year values if N>0 1e-05 # final convergence criteria (e.g. 1.0e-04) 0 # retrospective year relative to end year (e.g. -4) @@ -35,10 +35,10 @@ 1 # Depletion basis: denom is: 0=skip; 1=X*SPBvirgin; 2=X*SPBmsy; 3=X*SPB_styr; 4=X*SPB_endyr; 5=X*dyn_Bzero; values>=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) 1 # Fraction (X) for Depletion denominator (e.g. 0.4) 1 # SPR_report_basis: 0=skip; 1=(1-SPR)/(1-SPR_tgt); 2=(1-SPR)/(1-SPR_MSY); 3=(1-SPR)/(1-SPR_Btarget); 4=rawSPR -1 # F_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=true F for range of ages; 5=unweighted avg. F for range of ages -#COND 10 15 #_min and max age over which average F will be calculated with F_reporting=4 or 5 -0 # F_std_basis: 0=raw_annual_F; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual_F; values >=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) +1 # F_std_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=mean F for range of ages (numbers weighted); 5=unweighted mean F for range of ages +#COND 10 15 #_min and max age over which mean F will be calculated with F_reporting=4 or 5 +0 # F_std_scaling: 0=no scaling; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual F_std, Fmsy means F_std@msy; values >=11 invoke N multiyr (up to 9!) using 10's digit; >100 invokes log(ratio) 0 # MCMC output detail: integer part (0=default; 1=adds obj func components; 2= +write_report_for_each_mceval); and decimal part (added to SR_LN(R0) on first call to mcmc) -0 # ALK tolerance ***disabled in code (example 0.0001) --1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1676417106 +0 # ALK tolerance ***disabled in code +-1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1698770372 3.30 # check value for end of file and for version control diff --git a/models/Hake_2018/warning.sso b/models/Hake_2018/warning.sso index 1f10137..b6f5e6a 100644 --- a/models/Hake_2018/warning.sso +++ b/models/Hake_2018/warning.sso @@ -2,4 +2,5 @@ Note 1 Suggestion: This model has just one settlement event. Changing to recr_di Warning 1 : Minimum pop size bin:_10; is > L at Amin for sex: 1; Gpat: 1; L= 5 Warning 2 : 1st iteration warning: catch logL > 50% total logL; check configuration; suggest start with larger R0 Warning 3 : Final gradient: 1.21421e-05 is larger than final_conv: 1e-05 - 3 warnings and 1 note +Note 2 Information: A revised protocol for the Fcast_yr specification is available and recommended. + 3 warnings and 2 notes diff --git a/models/Hake_2019_semi-parametric_selex/forecast.ss b/models/Hake_2019_semi-parametric_selex/forecast.ss index 614f350..7f0ee61 100644 --- a/models/Hake_2019_semi-parametric_selex/forecast.ss +++ b/models/Hake_2019_semi-parametric_selex/forecast.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #C 2018 Hake forecast file # for all year entries except rebuilder; enter either: actual year, -999 for styr, 0 for endyr, neg number for rel. endyr 1 # Benchmarks: 0=skip; 1=calc F_spr,F_btgt,F_msy; 2=calc F_spr,F0.1,F_msy; 3=add F_Blimit; @@ -16,27 +16,47 @@ # where none and simple require no input after this line; simple sets forecast F same as end year F 3 # N forecast years 1 # Fmult (only used for Do_Forecast==5) such that apical_F(f)=Fmult*relF(f) -#_Fcast_years: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) +#_Fcast_years for averaging: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) -4 0 -4 0 -999 0 # 2014 2018 2014 2018 1966 2018 -0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from annual time-vary parms) +0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from time-vary parms). NOTE: logic reverses in new format +# A revised protocol for the Fcast_yr specification is available and recommended. Template is below. +# +#-12345 # code to invoke new format for expanded fcast year controls +# biology and selectivity vectors are updated annually in the forecast according to timevary parameters, so check end year of blocks and dev vectors +# input in this section directs creation of means over historical years to override any time_vary changes +# Factors implemented so far: 1=M, 4=recr_dist, 5=migration, 10=selectivity, 11=rel_F, 12=recruitment +# rel_F and Recruitment also have additional controls later in forecast.ss +# input as list: Factor, method (0, 1), st_yr, end_yr +# Terminate with -9999 for Factor +# st_yr and end_yr input can be actual year; <=0 sets rel. to timeseries endyr; Except -999 for st_yr sets to first year if time series +# Method = 0 (or omitted) continue using time_vary parms; 1 use mean of derived factor over specified year range +# Factor method st_yr end_yr +# 10 1 -4 0 # selectivity; use: 10 1 -4 0 +# 11 1 -4 0 # rel_F; use: 11 1 -4 0 +# 12 1 -999 0 # recruitment; use: 12 1 -999 0 +#-9999 0 0 0 +# 1 # Control rule method (0: none; 1: ramp does catch=f(SSB), buffer on F; 2: ramp does F=f(SSB), buffer on F; 3: ramp does catch=f(SSB), buffer on catch; 4: ramp does F=f(SSB), buffer on catch) # values for top, bottom and buffer exist, but not used when Policy=0 0.4 # Control rule inflection for constant F (as frac of Bzero, e.g. 0.40); must be > control rule cutoff, or set to -1 to use Bmsy/SSB_unf 0.1 # Control rule cutoff for no F (as frac of Bzero, e.g. 0.10) 1 # Buffer: enter Control rule target as fraction of Flimit (e.g. 0.75), negative value invokes list of [year, scalar] with filling from year to YrMax +# 3 #_N forecast loops (1=OFL only; 2=ABC; 3=get F from forecast ABC catch with allocations applied) -3 #_First forecast loop with stochastic recruitment -0 #_Forecast recruitment: 0= spawn_recr; 1=value*spawn_recr_fxn; 2=value*VirginRecr; 3=recent mean from yr range above (need to set phase to -1 in control to get constant recruitment in MCMC) -1 # value is ignored -0 #_Forecast loop control #5 (reserved for future bells&whistles) -2020 #FirstYear for caps and allocations (should be after years with fixed inputs) +3 # First forecast loop with stochastic recruitment +0 # Forecast base recruitment: 0= spawn_recr; 1=mult*spawn_recr_fxn; 2=mult*VirginRecr; 3=deprecated; 4=mult*mean_over_yr_range +# for option 4, set phase for fore_recr_devs to -1 in control to get constant mean in MCMC, else devs will be applied +1 # Value multiplier is ignored +0 # not used +# +2020 # FirstYear for caps and allocations (should be after years with fixed inputs) 0 # stddev of log(realized catch/target catch) in forecast (set value>0.0 to cause active impl_error) 0 # Do West Coast gfish rebuilder output: 0=no; 1=yes 1999 # Rebuilder: first year catch could have been set to zero (Ydecl)(-1 to set to 1999) 2002 # Rebuilder: year for current age structure (Yinit) (-1 to set to endyear+1) -1 # fleet relative F: 1=use first-last alloc year; 2=read seas, fleet, alloc list below -# Note that fleet allocation is used directly as average F if Do_Forecast=4 +1 # fleet relative F: 1=use mean over year range; 2=read seas, fleet, alloc list below +# Note that fleet allocation values is used directly as F if Do_Forecast=4 2 # basis for fcast catch tuning and for fcast catch caps and allocation (2=deadbio; 3=retainbio; 5=deadnum; 6=retainnum); NOTE: same units for all fleets # Conditional input if relative F choice = 2 # enter list of: season, fleet, relF; if used, terminate with season=-9999 diff --git a/models/Hake_2019_semi-parametric_selex/hake_control.ss b/models/Hake_2019_semi-parametric_selex/hake_control.ss index 72908d4..e392c34 100644 --- a/models/Hake_2019_semi-parametric_selex/hake_control.ss +++ b/models/Hake_2019_semi-parametric_selex/hake_control.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -11,6 +11,7 @@ 1 #_N_Growth_Patterns (Growth Patterns, Morphs, Bio Patterns, GP are terms used interchangeably in SS3) 1 #_N_platoons_Within_GrowthPattern #_Cond 1 #_Platoon_within/between_stdev_ratio (no read if N_platoons=1) +#_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # 2 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) @@ -50,8 +51,8 @@ #_no additional input for selected M option; read 1P per morph # 1 # GrowthModel: 1=vonBert with L1&L2; 2=Richards with L1&L2; 3=age_specific_K_incr; 4=age_specific_K_decr; 5=age_specific_K_each; 6=NA; 7=NA; 8=growth cessation -1 #_Age(post-settlement)_for_L1;linear growth below this -20 #_Growth_Age_for_L2 (999 to use as Linf) +1 #_Age(post-settlement) for L1 (aka Amin); first growth parameter is size at this age; linear growth below this +20 #_Age(post-settlement) for L2 (aka Amax); 999 to treat as Linf -999 #_exponential decay for growth above maxage (value should approx initial Z; -999 replicates 3.24; -998 to not allow growth above maxage) 0 #_placeholder for future growth feature # @@ -93,6 +94,7 @@ # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement +# Platoon StDev Ratio # Age Error from parameters # catch multiplier # fraction female, by GP @@ -117,7 +119,7 @@ 0 2 0 1 99 0 -50 0 0 0 0 0 0 0 # SR_autocorr #_no timevary SR parameters 1 #do_recdev: 0=none; 1=devvector (R=F(SSB)+dev); 2=deviations (R=F(SSB)+dev); 3=deviations (R=R0*dev; dev2=R-f(SSB)); 4=like 3 with sum(dev2) adding penalty -1970 # first year of main recr_devs; early devs can preceed this era +1970 # first year of main recr_devs; early devs can precede this era 2017 # last year of main recr_devs; forecast devs start in following year 1 #_recdev phase 1 # (0/1) to read 13 advanced options @@ -184,7 +186,7 @@ #Pattern:_11; parm=2; selex=1.0 for specified min-max population length bin range #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_6; parm=2+special; non-parm len selex -#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (average over bin range) +#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (mean over bin range) #Pattern:_8; parm=8; double_logistic with smooth transitions and constant above Linf option #Pattern:_9; parm=6; simple 4-parm double logistic with starting length; parm 5 is first length; parm 6=1 does desc as offset #Pattern:_21; parm=2+special; non-parm len selex, read as pairs of size, then selex @@ -194,7 +196,7 @@ #Pattern:_2; parm=6; double_normal with sel(minL) and sel(maxL), using joiners, back compatibile version of 24 with 3.30.18 and older #Pattern:_25; parm=3; exponential-logistic in length #Pattern:_27; parm=special+3; cubic spline in length; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (mean over bin range) #_discard_options:_0=none;_1=define_retention;_2=retention&mortality;_3=all_discarded_dead;_4=define_dome-shaped_retention #_Pattern Discard Male Special 0 0 0 0 # 1 Fishery @@ -210,13 +212,13 @@ #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_16; parm=2; Coleraine - Gaussian #Pattern:_17; parm=nages+1; empirical as random walk N parameters to read can be overridden by setting special to non-zero -#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (average over bin range) +#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (mean over bin range) #Pattern:_18; parm=8; double logistic - smooth transition #Pattern:_19; parm=6; simple 4-parm double logistic with starting age #Pattern:_20; parm=6; double_normal,using joiners #Pattern:_26; parm=3; exponential-logistic in age #Pattern:_27; parm=3+special; cubic spline in age; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (mean over bin range) #Age patterns entered with value >100 create Min_selage from first digit and pattern from remainder #_Pattern Discard Male Special 17 0 0 20 # 1 Fishery @@ -275,11 +277,11 @@ -5 20 2.39745 0 99 0 2 0 0 0 0 0 0 0 # ln(DM_theta)_Age_P2 #_no timevary selex parameters # -1 # use 2D_AR1 selectivity(0/1) +1 # use 2D_AR1 selectivity? (0/1) #_specifications for 2D_AR1 and associated parameters #_specs: fleet, ymin, ymax, amin, amax, sigma_amax, use_rho, len1/age2, devphase, before_range, after_range #_sigma_amax>amin means create sigma parm for each bin from min to sigma_amax; sigma_amax<0 means just one sigma parm is read and used for all bins - 1 1991 2017 1 5 1 1 2 5 0 0 # 2d_AR specs for fleet: Fishery AGE + 1 1991 2017 1 5 1 1 2 5 0 0 # 2D_AR specs for fleet: Fishery AGE 0.01 5 1 1 99 0 -5 # sigma_sel for fleet:_1; AGE_1 -0.8 0.8 0 0 99 0 -3 # rho_year for fleet:_1 -0.8 0.8 0 0 99 0 -3 # rho_AGE for fleet:_1 diff --git a/models/Hake_2019_semi-parametric_selex/hake_data.ss b/models/Hake_2019_semi-parametric_selex/hake_data.ss index 8895a6b..7c05c45 100644 --- a/models/Hake_2019_semi-parametric_selex/hake_data.ss +++ b/models/Hake_2019_semi-parametric_selex/hake_data.ss @@ -1,21 +1,21 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov #_User_info_available_at:https://vlab.noaa.gov/group/stock-synthesis #_Source_code_at:_https://github.com/nmfs-stock-synthesis/stock-synthesis -#_Start_time: Tue Feb 14 23:25:33 2023 +#_Start_time: Tue Oct 31 16:40:06 2023 #_echo_input_data #C 2019 Hake data file -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 1966 #_StartYr 2018 #_EndYr 1 #_Nseas 12 #_months/season 2 #_Nsubseasons (even number, minimum is 2) 1 #_spawn_month -1 #_Ngenders: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) +1 #_Nsexes: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) 20 #_Nages=accumulator age, first age is always age 0 1 #_Nareas 2 #_Nfleets (including surveys) @@ -152,7 +152,7 @@ 1 # use length composition data (0/1/2) where 2 invokes new comp_control format #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie @@ -266,7 +266,7 @@ 0.329242 0.329242 0.346917 0.368632 0.217422 0.42809 0.468362 0.517841 0.318246 0.653316 0.745076 0.857813 0.996322 1.1665 1.37557 1.63244 1.858 2.172 2.53 1.6137 3.388 #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie diff --git a/models/Hake_2019_semi-parametric_selex/ss_summary.sso b/models/Hake_2019_semi-parametric_selex/ss_summary.sso index e1ed3a6..d6ede9f 100644 --- a/models/Hake_2019_semi-parametric_selex/ss_summary.sso +++ b/models/Hake_2019_semi-parametric_selex/ss_summary.sso @@ -1,7 +1,7 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 hake_data.ss #_DataFile hake_control.ss #_Control -Run_Date: Tue Feb 14 23:25:06 2023 +Run_Date: Tue Oct 31 16:39:32 2023 Final_phase: 5 N_iterations: 1638 #_LIKELIHOOD Label logL*Lambda diff --git a/models/Hake_2019_semi-parametric_selex/starter.ss b/models/Hake_2019_semi-parametric_selex/starter.ss index a3a8a48..a7d8193 100644 --- a/models/Hake_2019_semi-parametric_selex/starter.ss +++ b/models/Hake_2019_semi-parametric_selex/starter.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -9,9 +9,9 @@ hake_data.ss hake_control.ss 0 # 0=use init values in control file; 1=use ss.par -1 # run display detail (0,1,2) +1 # run display detail (0 = minimal; 1=one line per iter; 2=each logL) 1 # detailed output (0=minimal for data-limited, 1=high (w/ wtatage.ss_new), 2=brief, 3=custom) -# custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end +#COND: custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end 0 # write 1st iteration details to echoinput.sso file (0,1) 0 # write parm values to ParmTrace.sso (0=no,1=good,active; 2=good,all; 3=every_iter,all_parms; 4=every,active) 0 # write to cumreport.sso (0=no,1=like×eries; 2=add survey fits) @@ -27,7 +27,7 @@ hake_control.ss -1 # min yr for sdreport outputs (-1 for styr); #_1964 -2 # max yr for sdreport outputs (-1 for endyr+1; -2 for endyr+Nforecastyrs); #_2021 0 # N individual STD years -#vector of year values +#COND: vector of year values if N>0 1e-05 # final convergence criteria (e.g. 1.0e-04) 0 # retrospective year relative to end year (e.g. -4) @@ -35,10 +35,10 @@ hake_control.ss 1 # Depletion basis: denom is: 0=skip; 1=X*SPBvirgin; 2=X*SPBmsy; 3=X*SPB_styr; 4=X*SPB_endyr; 5=X*dyn_Bzero; values>=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) 1 # Fraction (X) for Depletion denominator (e.g. 0.4) 1 # SPR_report_basis: 0=skip; 1=(1-SPR)/(1-SPR_tgt); 2=(1-SPR)/(1-SPR_MSY); 3=(1-SPR)/(1-SPR_Btarget); 4=rawSPR -1 # F_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=true F for range of ages; 5=unweighted avg. F for range of ages -#COND 10 15 #_min and max age over which average F will be calculated with F_reporting=4 or 5 -0 # F_std_basis: 0=raw_annual_F; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual_F; values >=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) +1 # F_std_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=mean F for range of ages (numbers weighted); 5=unweighted mean F for range of ages +#COND 10 15 #_min and max age over which mean F will be calculated with F_reporting=4 or 5 +0 # F_std_scaling: 0=no scaling; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual F_std, Fmsy means F_std@msy; values >=11 invoke N multiyr (up to 9!) using 10's digit; >100 invokes log(ratio) 0 # MCMC output detail: integer part (0=default; 1=adds obj func components; 2= +write_report_for_each_mceval); and decimal part (added to SR_LN(R0) on first call to mcmc) -0 # ALK tolerance ***disabled in code (example 0.0001) --1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1676417133 +0 # ALK tolerance ***disabled in code +-1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1698770406 3.30 # check value for end of file and for version control diff --git a/models/Hake_2019_semi-parametric_selex/warning.sso b/models/Hake_2019_semi-parametric_selex/warning.sso index 55421a0..74e44a5 100644 --- a/models/Hake_2019_semi-parametric_selex/warning.sso +++ b/models/Hake_2019_semi-parametric_selex/warning.sso @@ -1,6 +1,7 @@ Note 1 Suggestion: This model has just one settlement event. Changing to recr_dist_method 4 and removing the recruitment distribution parameters at the end of the MG parms section (below growth parameters) will produce identical results and simplify the model. -Warning 1 : The experimental 2D_AR selectivity smoother option is selected! +Warning 1 : 2D_AR selectivity deviations option is selected! Warning 2 : Minimum pop size bin:_10; is > L at Amin for sex: 1; Gpat: 1; L= 5 Warning 3 : 1st iteration warning: catch logL > 50% total logL; check configuration; suggest start with larger R0 Warning 4 : Final gradient: 2.25471e-05 is larger than final_conv: 1e-05 - 4 warnings and 1 note +Note 2 Information: A revised protocol for the Fcast_yr specification is available and recommended. + 4 warnings and 2 notes diff --git a/models/KelpGreenling2015/BC_ctl.ss b/models/KelpGreenling2015/BC_ctl.ss index 186f562..db574fe 100644 --- a/models/KelpGreenling2015/BC_ctl.ss +++ b/models/KelpGreenling2015/BC_ctl.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -11,6 +11,7 @@ 1 #_N_Growth_Patterns (Growth Patterns, Morphs, Bio Patterns, GP are terms used interchangeably in SS3) 1 #_N_platoons_Within_GrowthPattern #_Cond 1 #_Platoon_within/between_stdev_ratio (no read if N_platoons=1) +#_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # 2 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) @@ -52,8 +53,8 @@ #_no additional input for selected M option; read 1P per morph # 1 # GrowthModel: 1=vonBert with L1&L2; 2=Richards with L1&L2; 3=age_specific_K_incr; 4=age_specific_K_decr; 5=age_specific_K_each; 6=NA; 7=NA; 8=growth cessation -1 #_Age(post-settlement)_for_L1;linear growth below this -11 #_Growth_Age_for_L2 (999 to use as Linf) +1 #_Age(post-settlement) for L1 (aka Amin); first growth parameter is size at this age; linear growth below this +11 #_Age(post-settlement) for L2 (aka Amax); 999 to treat as Linf -999 #_exponential decay for growth above maxage (value should approx initial Z; -999 replicates 3.24; -998 to not allow growth above maxage) 0 #_placeholder for future growth feature # @@ -106,6 +107,7 @@ # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement +# Platoon StDev Ratio # Age Error from parameters # catch multiplier # fraction female, by GP @@ -130,7 +132,7 @@ 0 0 0 0 0 0 -3 0 0 0 0 0 0 0 # SR_autocorr #_no timevary SR parameters 1 #do_recdev: 0=none; 1=devvector (R=F(SSB)+dev); 2=deviations (R=F(SSB)+dev); 3=deviations (R=R0*dev; dev2=R-f(SSB)); 4=like 3 with sum(dev2) adding penalty -1980 # first year of main recr_devs; early devs can preceed this era +1980 # first year of main recr_devs; early devs can precede this era 2012 # last year of main recr_devs; forecast devs start in following year 5 #_recdev phase 1 # (0/1) to read 13 advanced options @@ -155,7 +157,7 @@ # # all recruitment deviations # 1980R 1981R 1982R 1983R 1984R 1985R 1986R 1987R 1988R 1989R 1990R 1991R 1992R 1993R 1994R 1995R 1996R 1997R 1998R 1999R 2000R 2001R 2002R 2003R 2004R 2005R 2006R 2007R 2008R 2009R 2010R 2011R 2012R 2013F 2014F 2015F 2016F 2017F 2018F 2019F 2020F 2021F 2022F 2023F 2024F -# -0.108016 0.0457131 -0.279402 0.488272 0.567818 0.983951 0.420642 0.423064 0.189508 -0.536609 -0.547613 -0.497409 -0.218096 -0.521196 0.016036 -0.502156 -0.290407 0.287659 -0.0568246 -0.085313 0.992807 0.678607 0.145108 -0.105473 -0.406745 -0.250317 -1.02541 0.226391 0.44647 1.10964 0.458863 -0.952687 -1.09688 -0.335294 0 0 0 0 0 0 0 0 0 0 0 +# -0.108016 0.0457132 -0.279402 0.488272 0.567818 0.983951 0.420642 0.423064 0.189508 -0.536609 -0.547613 -0.497409 -0.218096 -0.521196 0.016036 -0.502156 -0.290407 0.287659 -0.0568246 -0.085313 0.992807 0.678607 0.145108 -0.105473 -0.406745 -0.250317 -1.02541 0.226391 0.44647 1.10964 0.458863 -0.952687 -1.09688 -0.335294 0 0 0 0 0 0 0 0 0 0 0 # #Fishing Mortality info 0.3 # F ballpark value in units of annual_F @@ -173,7 +175,7 @@ # seas: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 # Commercial 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.000185968 0.000166888 6.80094e-06 4.94473e-05 3.8561e-05 0.000227487 0.000560341 0.0001254 0.00243318 0.0417886 0.0409012 0.104537 0.0827525 0.119366 0.204578 0.0686487 0.0718396 0.0617665 0.0434617 0.0585099 0.076809 0.0773167 0.0672392 0.0676513 0.0546399 0.0600315 0.0438765 0.133701 0.133753 0.133812 0.133871 0.133925 0.133973 0.134013 0.134048 0.134078 0.134103 # Ocean 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00381708 0.00514095 0.00570992 0.0123648 0.0104706 0.0263243 0.0189317 0.013077 0.0195943 0.0134989 0.00995866 0.00787249 0.00458877 0.00793666 0.00753438 0.00429894 0.00601845 0.00539059 0.00381739 0.00714125 0.00948512 0.0132421 0.0105868 0.0112932 0.0176261 0.0120082 0.0200362 0.0179314 0.0122271 0.0128572 0.0115462 0.0115258 0.0113794 0.00786205 0.00904033 0.011794 0.0172929 0.0261851 0.0188317 0.0176562 0.022412 0.0133015 0.0405325 0.0405482 0.0405661 0.0405841 0.0406007 0.0406153 0.040628 0.0406389 0.0406482 0.0406562 -# Estuary 0.00745856 0.00703537 0.00704767 0.00661629 0.00839156 0.0092879 0.00531071 0.00530989 0.00619446 0.00663816 0.00708308 0.00752863 0.0075312 0.00753327 0.00753523 0.00753739 0.00753877 0.00576373 0.00531748 0.00664502 0.00708875 0.00753392 0.00842455 0.00887322 0.00932246 0.0097726 0.010669 0.0106773 0.0120225 0.0115869 0.0129347 0.0165276 0.0183539 0.0206425 0.0215922 0.0216369 0.0248477 0.026271 0.0263328 0.027298 0.0273478 0.0283031 0.0292612 0.0283823 0.0284066 0.0293474 0.0298326 0.0307798 0.0321969 0.0340888 0.0355312 0.0369844 0.0370499 0.034303 0.0371138 0.0399619 0.0405009 0.0447934 0.0487038 0.0489083 0.0509921 0.0493038 0.0489917 0.0535429 0.0557753 0.100681 0.0323889 0.0227858 0.0826343 0.0373465 0.0136497 0.0180298 0.0720816 0.0397825 0.00503279 0.0254351 0.0403764 0.0582359 0.0568374 0.0324434 0.0159089 0.0324572 0.05115 0.0109345 0.0231935 0.0169861 0.0307957 0.0687677 0.0994855 0.00331765 0.010448 0.0313765 0.0371122 0.0347856 0.0299039 0.0214635 0.0208162 0.0242873 0.0282264 0.0302619 0.0922207 0.0922541 0.0922836 0.0923093 0.0923313 0.0923501 0.0923662 0.0923799 0.0923916 0.0924016 +# Estuary 0.00745856 0.00703538 0.00704767 0.00661629 0.00839156 0.0092879 0.00531071 0.00530989 0.00619446 0.00663817 0.00708308 0.00752863 0.0075312 0.00753327 0.00753524 0.00753739 0.00753877 0.00576373 0.00531748 0.00664502 0.00708875 0.00753392 0.00842455 0.00887322 0.00932247 0.00977261 0.010669 0.0106773 0.0120225 0.0115869 0.0129347 0.0165276 0.0183539 0.0206425 0.0215922 0.0216369 0.0248477 0.026271 0.0263328 0.027298 0.0273478 0.0283031 0.0292612 0.0283824 0.0284066 0.0293474 0.0298326 0.0307799 0.0321969 0.0340888 0.0355312 0.0369844 0.0370499 0.034303 0.0371138 0.0399619 0.040501 0.0447934 0.0487038 0.0489083 0.0509922 0.0493039 0.0489917 0.0535429 0.0557753 0.100681 0.0323889 0.0227858 0.0826343 0.0373466 0.0136497 0.0180298 0.0720816 0.0397825 0.0050328 0.0254351 0.0403764 0.0582359 0.0568374 0.0324434 0.0159089 0.0324572 0.05115 0.0109345 0.0231935 0.0169861 0.0307957 0.0687678 0.0994855 0.00331765 0.010448 0.0313765 0.0371122 0.0347857 0.0299039 0.0214635 0.0208162 0.0242873 0.0282264 0.0302619 0.0922207 0.0922542 0.0922837 0.0923093 0.0923313 0.0923502 0.0923662 0.09238 0.0923917 0.0924016 # Shore 0.217048 0.204702 0.20503 0.205287 0.231228 0.257257 0.167302 0.141538 0.167263 0.193033 0.205968 0.206042 0.206106 0.206158 0.219096 0.232046 0.206296 0.167578 0.141722 0.193214 0.206118 0.231948 0.257845 0.257988 0.271039 0.284115 0.310161 0.323321 0.349473 0.349742 0.375946 0.480351 0.546374 0.599782 0.614197 0.615362 0.708502 0.762828 0.764477 0.805583 0.793698 0.808073 0.849034 0.823434 0.82407 0.851319 0.865338 0.892763 0.947145 0.988588 1.01692 1.07232 1.07406 0.994293 1.07574 1.17169 1.17369 1.29794 1.39738 1.43001 1.47629 1.44057 1.41734 1.54845 1.61222 1.42679 2.69436 1.40121 2.09053 0.598042 1.02868 1.10153 1.34116 0.690757 0.781682 1.02179 1.63394 2.35138 3.67662 0.950359 1.02877 1.44973 1.64499 0.558301 0.756401 2.52284 2.17135 2.77068 1.75214 0.820775 0.58692 1.26622 1.51914 1.32772 1.13965 0.781576 0.80532 0.994594 1.18389 1.22556 3.82701 3.82959 3.83186 3.83386 3.83558 3.83706 3.83833 3.83941 3.84033 3.84111 # SpecProj 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 # @@ -207,7 +209,7 @@ #Pattern:_11; parm=2; selex=1.0 for specified min-max population length bin range #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_6; parm=2+special; non-parm len selex -#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (average over bin range) +#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (mean over bin range) #Pattern:_8; parm=8; double_logistic with smooth transitions and constant above Linf option #Pattern:_9; parm=6; simple 4-parm double logistic with starting length; parm 5 is first length; parm 6=1 does desc as offset #Pattern:_21; parm=2+special; non-parm len selex, read as pairs of size, then selex @@ -217,7 +219,7 @@ #Pattern:_2; parm=6; double_normal with sel(minL) and sel(maxL), using joiners, back compatibile version of 24 with 3.30.18 and older #Pattern:_25; parm=3; exponential-logistic in length #Pattern:_27; parm=special+3; cubic spline in length; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (mean over bin range) #_discard_options:_0=none;_1=define_retention;_2=retention&mortality;_3=all_discarded_dead;_4=define_dome-shaped_retention #_Pattern Discard Male Special 24 0 0 0 # 1 Commercial @@ -239,13 +241,13 @@ #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_16; parm=2; Coleraine - Gaussian #Pattern:_17; parm=nages+1; empirical as random walk N parameters to read can be overridden by setting special to non-zero -#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (average over bin range) +#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (mean over bin range) #Pattern:_18; parm=8; double logistic - smooth transition #Pattern:_19; parm=6; simple 4-parm double logistic with starting age #Pattern:_20; parm=6; double_normal,using joiners #Pattern:_26; parm=3; exponential-logistic in age #Pattern:_27; parm=3+special; cubic spline in age; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (mean over bin range) #Age patterns entered with value >100 create Min_selage from first digit and pattern from remainder #_Pattern Discard Male Special 10 0 0 0 # 1 Commercial @@ -275,7 +277,7 @@ # 3 Estuary LenSelex 10 45 12.2822 16 50 0 4 0 0 0 0 0 0 0 # Size_DblN_peak_Estuary(3) -10 5 -5.15575 -5 50 0 5 0 0 0 0 0 0 0 # Size_DblN_top_logit_Estuary(3) - 0 9 4.50309 5 50 0 5 0 0 0 0 0 0 0 # Size_DblN_ascend_se_Estuary(3) + 0 9 4.50312 5 50 0 5 0 0 0 0 0 0 0 # Size_DblN_ascend_se_Estuary(3) -9 9 3.57606 4 50 0 5 0 0 0 0 0 0 0 # Size_DblN_descend_se_Estuary(3) -9 9 -8 -8 50 0 -5 0 0 0 0 0 0 0 # Size_DblN_start_logit_Estuary(3) -9 9 -1.59162 -2 50 0 5 0 0 0 0 0 0 0 # Size_DblN_end_logit_Estuary(3) @@ -306,8 +308,12 @@ -3 0 -0.250964 -1 99 0 5 # Size_DblN_ascend_se_Ocean(2)_BLK1add_2004 # info on dev vectors created for selex parms are reported with other devs after tag parameter section # -0 # use 2D_AR1 selectivity(0/1) +0 # use 2D_AR1 selectivity? (0/1) #_no 2D_AR1 selex offset used +#_specs: fleet, ymin, ymax, amin, amax, sigma_amax, use_rho, len1/age2, devphase, before_range, after_range +#_sigma_amax>amin means create sigma parm for each bin from min to sigma_amax; sigma_amax<0 means just one sigma parm is read and used for all bins +#_needed parameters follow each fleet's specifications +# -9999 0 0 0 0 0 0 0 0 0 0 # terminator # # Tag loss and Tag reporting parameters go next 0 # TG_custom: 0=no read and autogen if tag data exist; 1=read diff --git a/models/KelpGreenling2015/BC_dat.ss b/models/KelpGreenling2015/BC_dat.ss index e067bf0..593bcb0 100644 --- a/models/KelpGreenling2015/BC_dat.ss +++ b/models/KelpGreenling2015/BC_dat.ss @@ -1,21 +1,21 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov #_User_info_available_at:https://vlab.noaa.gov/group/stock-synthesis #_Source_code_at:_https://github.com/nmfs-stock-synthesis/stock-synthesis -#_Start_time: Tue Feb 14 23:27:18 2023 +#_Start_time: Tue Oct 31 16:42:27 2023 #_echo_input_data #C 2015 Assessent of Kelp Greenling (Berger, Arnold, Randomsky) run with SSv3.24u -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 1915 #_StartYr 2014 #_EndYr 1 #_Nseas 12 #_months/season 2 #_Nsubseasons (even number, minimum is 2) 1 #_spawn_month -2 #_Ngenders: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) +2 #_Nsexes: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) 15 #_Nages=accumulator age, first age is always age 0 1 #_Nareas 8 #_Nfleets (including surveys) @@ -628,7 +628,7 @@ 1 # use length composition data (0/1/2) where 2 invokes new comp_control format #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie @@ -760,7 +760,7 @@ 0 0 0.239049 0.478098 0.48971 0.502373 0.516184 0.531244 0.547669 0.565581 0.585115 0.606417 0.629649 0.654984 0.682614 0.712746 #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie diff --git a/models/KelpGreenling2015/forecast.ss b/models/KelpGreenling2015/forecast.ss index bcc9f6c..ed43075 100644 --- a/models/KelpGreenling2015/forecast.ss +++ b/models/KelpGreenling2015/forecast.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #C generic forecast file # for all year entries except rebuilder; enter either: actual year, -999 for styr, 0 for endyr, neg number for rel. endyr 1 # Benchmarks: 0=skip; 1=calc F_spr,F_btgt,F_msy; 2=calc F_spr,F0.1,F_msy; 3=add F_Blimit; @@ -16,27 +16,47 @@ # where none and simple require no input after this line; simple sets forecast F same as end year F 10 # N forecast years 1 # Fmult (only used for Do_Forecast==5) such that apical_F(f)=Fmult*relF(f) -#_Fcast_years: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) +#_Fcast_years for averaging: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) 0 0 0 0 -999 0 # 2014 2014 2014 2014 1915 2014 -0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from annual time-vary parms) +0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from time-vary parms). NOTE: logic reverses in new format +# A revised protocol for the Fcast_yr specification is available and recommended. Template is below. +# +#-12345 # code to invoke new format for expanded fcast year controls +# biology and selectivity vectors are updated annually in the forecast according to timevary parameters, so check end year of blocks and dev vectors +# input in this section directs creation of means over historical years to override any time_vary changes +# Factors implemented so far: 1=M, 4=recr_dist, 5=migration, 10=selectivity, 11=rel_F, 12=recruitment +# rel_F and Recruitment also have additional controls later in forecast.ss +# input as list: Factor, method (0, 1), st_yr, end_yr +# Terminate with -9999 for Factor +# st_yr and end_yr input can be actual year; <=0 sets rel. to timeseries endyr; Except -999 for st_yr sets to first year if time series +# Method = 0 (or omitted) continue using time_vary parms; 1 use mean of derived factor over specified year range +# Factor method st_yr end_yr +# 10 1 0 0 # selectivity; use: 10 1 0 0 +# 11 1 0 0 # rel_F; use: 11 1 0 0 +# 12 1 -999 0 # recruitment; use: 12 1 -999 0 +#-9999 0 0 0 +# 1 # Control rule method (0: none; 1: ramp does catch=f(SSB), buffer on F; 2: ramp does F=f(SSB), buffer on F; 3: ramp does catch=f(SSB), buffer on catch; 4: ramp does F=f(SSB), buffer on catch) # values for top, bottom and buffer exist, but not used when Policy=0 0.4 # Control rule inflection for constant F (as frac of Bzero, e.g. 0.40); must be > control rule cutoff, or set to -1 to use Bmsy/SSB_unf 0.1 # Control rule cutoff for no F (as frac of Bzero, e.g. 0.10) 1 # Buffer: enter Control rule target as fraction of Flimit (e.g. 0.75), negative value invokes list of [year, scalar] with filling from year to YrMax +# 3 #_N forecast loops (1=OFL only; 2=ABC; 3=get F from forecast ABC catch with allocations applied) -3 #_First forecast loop with stochastic recruitment -0 #_Forecast recruitment: 0= spawn_recr; 1=value*spawn_recr_fxn; 2=value*VirginRecr; 3=recent mean from yr range above (need to set phase to -1 in control to get constant recruitment in MCMC) -1 # value is ignored -0 #_Forecast loop control #5 (reserved for future bells&whistles) -2025 #FirstYear for caps and allocations (should be after years with fixed inputs) +3 # First forecast loop with stochastic recruitment +0 # Forecast base recruitment: 0= spawn_recr; 1=mult*spawn_recr_fxn; 2=mult*VirginRecr; 3=deprecated; 4=mult*mean_over_yr_range +# for option 4, set phase for fore_recr_devs to -1 in control to get constant mean in MCMC, else devs will be applied +1 # Value multiplier is ignored +0 # not used +# +2025 # FirstYear for caps and allocations (should be after years with fixed inputs) 0 # stddev of log(realized catch/target catch) in forecast (set value>0.0 to cause active impl_error) 0 # Do West Coast gfish rebuilder output: 0=no; 1=yes 1999 # Rebuilder: first year catch could have been set to zero (Ydecl)(-1 to set to 1999) 2015 # Rebuilder: year for current age structure (Yinit) (-1 to set to endyear+1) -1 # fleet relative F: 1=use first-last alloc year; 2=read seas, fleet, alloc list below -# Note that fleet allocation is used directly as average F if Do_Forecast=4 +1 # fleet relative F: 1=use mean over year range; 2=read seas, fleet, alloc list below +# Note that fleet allocation values is used directly as F if Do_Forecast=4 2 # basis for fcast catch tuning and for fcast catch caps and allocation (2=deadbio; 3=retainbio; 5=deadnum; 6=retainnum); NOTE: same units for all fleets # Conditional input if relative F choice = 2 # enter list of: season, fleet, relF; if used, terminate with season=-9999 diff --git a/models/KelpGreenling2015/ss.par b/models/KelpGreenling2015/ss.par index c8398d5..96823cc 100644 --- a/models/KelpGreenling2015/ss.par +++ b/models/KelpGreenling2015/ss.par @@ -1,16 +1,16 @@ -# Number of parameters = 68 Objective function value = 1305.42748191401 Maximum gradient component = 1.47948537398389e-05 +# Number of parameters = 68 Objective function value = 1305.42748191401 Maximum gradient component = 1.24296113808289e-05 # dummy_parm: 1.00000000000 # MGparm[1]: 0.360000000000 # MGparm[2]: -25.0668096597 +25.0668096636 # MGparm[3]: -36.4387876917 +36.4387876722 # MGparm[4]: -0.261352789668 +0.261352789120 # MGparm[5]: -0.105097037784 +0.105097037839 # MGparm[6]: 0.00000000000 # MGparm[7]: @@ -30,7 +30,7 @@ # MGparm[14]: 0.00000000000 # MGparm[15]: --0.0191200711960 +-0.0191200711019 # MGparm[16]: 0.00000000000 # MGparm[17]: @@ -52,7 +52,7 @@ # MGparm[25]: 0.500000000000 # SR_parm[1]: -7.28012427891 +7.28012427428 # SR_parm[2]: 0.700000000000 # SR_parm[3]: @@ -62,39 +62,39 @@ # SR_parm[5]: 0.00000000000 # recdev1: - -0.108016319026 0.0457131335860 -0.279401939388 0.488272242390 0.567817904171 0.983950599154 0.420641643028 0.423063533901 0.189508311709 -0.536609258848 -0.547612878799 -0.497408684859 -0.218095664787 -0.521196048022 0.0160359975984 -0.502155868916 -0.290406580616 0.287659282593 -0.0568246336726 -0.0853129504502 0.992806591454 0.678606768962 0.145107691454 -0.105472890353 -0.406744706274 -0.250317254178 -1.02540967800 0.226390527093 0.446469790721 1.10964493204 0.458863049552 -0.952686892513 -1.09687975071 + -0.108016326393 0.0457131512193 -0.279401956597 0.488272255719 0.567817903398 0.983950616374 0.420641636859 0.423063560444 0.189508318826 -0.536609285619 -0.547612919510 -0.497408692105 -0.218095649893 -0.521196030008 0.0160359892894 -0.502155905470 -0.290406566699 0.287659294477 -0.0568246469455 -0.0853129515585 0.992806594477 0.678606769845 0.145107692446 -0.105472888827 -0.406744702872 -0.250317255651 -1.02540965926 0.226390528425 0.446469795319 1.10964493578 0.458863055091 -0.952686913816 -1.09687974677 # Fcast_recruitments: - -0.335294339579 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 + -0.335294322778 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 # Q_parm[1]: --7.16959573299 +-7.16959571957 # Q_parm[2]: -0.0222876229335 +0.0222876231422 # Q_parm[3]: --8.42917832540 +-8.42917830973 # Q_parm[4]: -0.0935545404974 +0.0935545370625 # Q_parm[5]: --9.04098519429 +-9.04098517955 # Q_parm[6]: -0.0236523731024 +0.0236523743263 # selparm[1]: -39.1958951866 +39.1958952228 # selparm[2]: -8.00000000000 # selparm[3]: -3.20418414431 +3.20418414929 # selparm[4]: -0.928091808536 +0.928091761901 # selparm[5]: -8.00000000000 # selparm[6]: --1.35032671535 +-1.35032673727 # selparm[7]: -39.8903862225 +39.8903862694 # selparm[8]: -5.00000000000 # selparm[9]: -3.62312279987 +3.62312280458 # selparm[10]: 8.00000000000 # selparm[11]: @@ -102,17 +102,17 @@ # selparm[12]: 8.00000000000 # selparm[13]: -12.2821999851 +12.2821973825 # selparm[14]: --5.15574906173 +-5.15574658037 # selparm[15]: -4.50308773859 +4.50312211617 # selparm[16]: -3.57606195214 +3.57606217513 # selparm[17]: -8.00000000000 # selparm[18]: --1.59161628583 +-1.59161667913 # selparm[19]: 6.00000000000 # selparm[20]: @@ -120,16 +120,16 @@ # selparm[21]: 5.00000000000 # selparm[22]: -3.97111333982 +3.97111333853 # selparm[23]: 8.00000000000 # selparm[24]: --5.28355632794 +-5.28355632606 # selparm[25]: 1.00000000000 # selparm[26]: 1.00000000000 # selparm[27]: --0.250964051152 +-0.250964050076 # checksum999: 999.000000000 diff --git a/models/KelpGreenling2015/ss_summary.sso b/models/KelpGreenling2015/ss_summary.sso index a4389e1..00d28f1 100644 --- a/models/KelpGreenling2015/ss_summary.sso +++ b/models/KelpGreenling2015/ss_summary.sso @@ -1,8 +1,8 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 BC_dat.ss #_DataFile BC_ctl.ss #_Control -Run_Date: Tue Feb 14 23:25:33 2023 -Final_phase: 6 N_iterations: 598 +Run_Date: Tue Oct 31 16:40:07 2023 +Final_phase: 6 N_iterations: 588 #_LIKELIHOOD Label logL*Lambda TOTAL_LogL 1305.43 @@ -54,7 +54,7 @@ SR_sigmaR 0.65 0 Fix 0.325 SR_regime 0 0 Fix 0.5 SR_autocorr 0 0 Fix 0 Main_RecrDev_1980 -0.108016 0.29718 Act 0.489198 -Main_RecrDev_1981 0.0457131 0.274195 Act 0.504571 +Main_RecrDev_1981 0.0457132 0.274195 Act 0.504571 Main_RecrDev_1982 -0.279402 0.316712 Act 0.47206 Main_RecrDev_1983 0.488272 0.241844 Act 0.548827 Main_RecrDev_1984 0.567818 0.243659 Act 0.556782 @@ -118,12 +118,12 @@ Size_DblN_ascend_se_Ocean(2) 3.62312 0.0830677 Act 0.402569 Size_DblN_descend_se_Ocean(2) 8 0 Fix 0.888889 Size_DblN_start_logit_Ocean(2) -8 0 Fix 0.0555556 Size_DblN_end_logit_Ocean(2) 8 0 Fix 0.944444 -Size_DblN_peak_Estuary(3) 12.2822 22.2199 Act 0.0652057 -Size_DblN_top_logit_Estuary(3) -5.15575 75.9941 Act 0.32295 -Size_DblN_ascend_se_Estuary(3) 4.50309 100.31 Act 0.500343 +Size_DblN_peak_Estuary(3) 12.2822 22.2221 Act 0.0652056 +Size_DblN_top_logit_Estuary(3) -5.15575 76.0034 Act 0.32295 +Size_DblN_ascend_se_Estuary(3) 4.50312 100.31 Act 0.500347 Size_DblN_descend_se_Estuary(3) 3.57606 1.22719 Act 0.69867 Size_DblN_start_logit_Estuary(3) -8 0 Fix 0.0555556 -Size_DblN_end_logit_Estuary(3) -1.59162 2.33851 Act 0.411577 +Size_DblN_end_logit_Estuary(3) -1.59162 2.33852 Act 0.411577 Size_DblN_peak_Shore(4) 6 0 Fix 0 Size_DblN_top_logit_Shore(4) -9 0 Fix 0.0526316 Size_DblN_ascend_se_Shore(4) 5 0 Fix 0.555555 @@ -188,7 +188,7 @@ SSB_1962 374.896 91.4722 SSB_1963 374.448 91.4714 SSB_1964 373.854 91.4685 SSB_1965 373.126 91.4639 -SSB_1966 372.349 91.459 +SSB_1966 372.348 91.459 SSB_1967 371.475 91.4532 SSB_1968 370.738 91.4496 SSB_1969 370.509 91.4526 @@ -443,7 +443,7 @@ SPRratio_1993 0.29315 0.0612559 SPRratio_1994 0.131562 0.0297282 SPRratio_1995 0.105996 0.0236697 SPRratio_1996 0.157382 0.0339659 -SPRratio_1997 0.264579 0.053883 +SPRratio_1997 0.264579 0.0538831 SPRratio_1998 0.146935 0.0310934 SPRratio_1999 0.279933 0.0540668 SPRratio_2000 0.320515 0.06173 @@ -461,7 +461,7 @@ SPRratio_2011 0.220874 0.0586731 SPRratio_2012 0.213496 0.0575029 SPRratio_2013 0.242397 0.0648618 SPRratio_2014 0.209828 0.0589212 -SPRratio_2015 0.527542 0.0922116 +SPRratio_2015 0.527542 0.0922117 SPRratio_2016 0.52773 0.121543 SPRratio_2017 0.527911 0.138785 SPRratio_2018 0.528079 0.154623 @@ -526,7 +526,7 @@ F_1965 0.0621087 0.0140641 F_1966 0.0650541 0.0147563 F_1967 0.0651757 0.0148124 F_1968 0.0603795 0.0137442 -F_1969 0.0652977 0.0148697 +F_1969 0.0652978 0.0148697 F_1970 0.0706791 0.0161142 F_1971 0.0712248 0.0162703 F_1972 0.0787204 0.0180129 @@ -698,7 +698,7 @@ Totbio_unfished 1426.28 318.069 SmryBio_unfished 1426.28 318.069 Recr_unfished 1451.17 312.899 SSB_Btgt 158.65 34.2079 -SPR_Btgt 0.464286 2.04632e-17 +SPR_Btgt 0.464286 1.42627e-17 annF_Btgt 0.175439 0.00297838 Dead_Catch_Btgt 128.704 27.816 SSB_SPR 152.304 32.8396 @@ -710,11 +710,11 @@ annF_MSY 0.182864 0.00309758 Dead_Catch_MSY 130.355 28.1782 Ret_Catch_MSY 130.355 28.1782 B_MSY/SSB_unfished 0.384 2.38327e-10 -ForeCatch_2015 96.463 22.8425 +ForeCatch_2015 96.463 22.8426 ForeCatch_2016 88.7619 20.961 ForeCatch_2017 84.1892 19.8821 ForeCatch_2018 82.0457 18.8587 -ForeCatch_2019 81.2411 17.7209 +ForeCatch_2019 81.2411 17.721 ForeCatch_2020 81.0253 16.6704 ForeCatch_2021 81.0199 15.8616 ForeCatch_2022 81.0751 15.3063 diff --git a/models/KelpGreenling2015/starter.ss b/models/KelpGreenling2015/starter.ss index 3ba8443..b5a033e 100644 --- a/models/KelpGreenling2015/starter.ss +++ b/models/KelpGreenling2015/starter.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -12,9 +12,9 @@ BC_dat.ss BC_ctl.ss 0 # 0=use init values in control file; 1=use ss.par -1 # run display detail (0,1,2) +1 # run display detail (0 = minimal; 1=one line per iter; 2=each logL) 1 # detailed output (0=minimal for data-limited, 1=high (w/ wtatage.ss_new), 2=brief, 3=custom) -# custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end +#COND: custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end 0 # write 1st iteration details to echoinput.sso file (0,1) 0 # write parm values to ParmTrace.sso (0=no,1=good,active; 2=good,all; 3=every_iter,all_parms; 4=every,active) 1 # write to cumreport.sso (0=no,1=like×eries; 2=add survey fits) @@ -30,7 +30,7 @@ BC_ctl.ss 1913 # min yr for sdreport outputs (-1 for styr); #_1913 2024 # max yr for sdreport outputs (-1 for endyr+1; -2 for endyr+Nforecastyrs); #_2024 0 # N individual STD years -#vector of year values +#COND: vector of year values if N>0 0.0001 # final convergence criteria (e.g. 1.0e-04) 0 # retrospective year relative to end year (e.g. -4) @@ -38,10 +38,10 @@ BC_ctl.ss 1 # Depletion basis: denom is: 0=skip; 1=X*SPBvirgin; 2=X*SPBmsy; 3=X*SPB_styr; 4=X*SPB_endyr; 5=X*dyn_Bzero; values>=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) 1 # Fraction (X) for Depletion denominator (e.g. 0.4) 1 # SPR_report_basis: 0=skip; 1=(1-SPR)/(1-SPR_tgt); 2=(1-SPR)/(1-SPR_MSY); 3=(1-SPR)/(1-SPR_Btarget); 4=rawSPR -1 # F_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=true F for range of ages; 5=unweighted avg. F for range of ages -#COND 10 15 #_min and max age over which average F will be calculated with F_reporting=4 or 5 -1 # F_std_basis: 0=raw_annual_F; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual_F; values >=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) +1 # F_std_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=mean F for range of ages (numbers weighted); 5=unweighted mean F for range of ages +#COND 10 15 #_min and max age over which mean F will be calculated with F_reporting=4 or 5 +1 # F_std_scaling: 0=no scaling; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual F_std, Fmsy means F_std@msy; values >=11 invoke N multiyr (up to 9!) using 10's digit; >100 invokes log(ratio) 0 # MCMC output detail: integer part (0=default; 1=adds obj func components; 2= +write_report_for_each_mceval); and decimal part (added to SR_LN(R0) on first call to mcmc) -0 # ALK tolerance ***disabled in code (example 0.0001) --1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1676417238 +0 # ALK tolerance ***disabled in code +-1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1698770547 3.30 # check value for end of file and for version control diff --git a/models/KelpGreenling2015/warning.sso b/models/KelpGreenling2015/warning.sso index 3019c9c..2d460b6 100644 --- a/models/KelpGreenling2015/warning.sso +++ b/models/KelpGreenling2015/warning.sso @@ -4,12 +4,14 @@ Warning 3 : fishing fleet: 3 surveytime read as: 1 normally is -1 for fishing fl Warning 4 : fishing fleet: 4 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month Warning 5 : fishing fleet: 5 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month Note 1 Suggestion: This model has just one settlement event. Changing to recr_dist_method 4 and removing the recruitment distribution parameters at the end of the MG parms section (below growth parameters) will produce identical results and simplify the model. -Warning 6 : Fleet: 1 agecomp has obs with partition==2; will treat as partition=0 because retention not defined; N= 105 -Warning 7 : fleet: 2 lencomp has obs with partition==2; will treat as partition=0 because retention not defined; N= 31 -Warning 8 : Fleet: 2 agecomp has obs with partition==2; will treat as partition=0 because retention not defined; N= 140 -Warning 9 : fleet: 3 lencomp has obs with partition==2; will treat as partition=0 because retention not defined; N= 30 -Warning 10 : fleet: 4 lencomp has obs with partition==2; will treat as partition=0 because retention not defined; N= 22 -Warning 11 : Fleet: 5 agecomp has obs with partition==2; will treat as partition=0 because retention not defined; N= 8 -Warning 12 : Forecast F capped by max possible F from control file4 +Warning 6 : At least one block pattern ends in endyr. Check the output parameter value time series to see if the values in forecast years are as intended. +Warning 7 Adjustment: Fleet: 1 agecomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 105 +Warning 8 : fleet: 2 lencomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 31 +Warning 9 Adjustment: Fleet: 2 agecomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 140 +Warning 10 : fleet: 3 lencomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 30 +Warning 11 : fleet: 4 lencomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 22 +Warning 12 Adjustment: Fleet: 5 agecomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 8 Warning 13 : Forecast F capped by max possible F from control file4 - 13 warnings and 1 note +Warning 14 : Forecast F capped by max possible F from control file4 +Note 2 Information: A revised protocol for the Fcast_yr specification is available and recommended. + 14 warnings and 2 notes diff --git a/models/Sablefish2015/2015_control.ss b/models/Sablefish2015/2015_control.ss index cd9bcd4..9423fae 100644 --- a/models/Sablefish2015/2015_control.ss +++ b/models/Sablefish2015/2015_control.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -10,6 +10,7 @@ 1 #_N_Growth_Patterns (Growth Patterns, Morphs, Bio Patterns, GP are terms used interchangeably in SS3) 1 #_N_platoons_Within_GrowthPattern #_Cond 1 #_Platoon_within/between_stdev_ratio (no read if N_platoons=1) +#_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # 2 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) @@ -54,8 +55,8 @@ #_no additional input for selected M option; read 1P per morph # 1 # GrowthModel: 1=vonBert with L1&L2; 2=Richards with L1&L2; 3=age_specific_K_incr; 4=age_specific_K_decr; 5=age_specific_K_each; 6=NA; 7=NA; 8=growth cessation -0.5 #_Age(post-settlement)_for_L1;linear growth below this -30 #_Growth_Age_for_L2 (999 to use as Linf) +0.5 #_Age(post-settlement) for L1 (aka Amin); first growth parameter is size at this age; linear growth below this +30 #_Age(post-settlement) for L2 (aka Amax); 999 to treat as Linf -999 #_exponential decay for growth above maxage (value should approx initial Z; -999 replicates 3.24; -998 to not allow growth above maxage) 0 #_placeholder for future growth feature # @@ -72,12 +73,12 @@ #_growth_parms #_ LO HI INIT PRIOR PR_SD PR_type PHASE env_var&link dev_link dev_minyr dev_maxyr dev_PH Block Block_Fxn # Sex: 1 BioPattern: 1 NatMort - 0.01 0.11 0.0994792 -2.1791 0.3384 3 3 0 0 0 0 0 0 0 # NatM_uniform_Fem_GP_1 + 0.01 0.11 0.0994793 -2.1791 0.3384 3 3 0 0 0 0 0 0 0 # NatM_uniform_Fem_GP_1 # Sex: 1 BioPattern: 1 Growth 22 30 22 22 99 0 2 0 0 0 0 0 0 0 # L_at_Amin_Fem_GP_1 60 70 64.4759 66 99 0 2 0 0 0 0 0 0 0 # L_at_Amax_Fem_GP_1 0.15 0.35 0.35 0.25 99 0 2 0 0 0 0 0 0 0 # VonBert_K_Fem_GP_1 - 0.03 0.15 0.141932 0.05 99 0 2 0 0 0 0 0 0 0 # CV_young_Fem_GP_1 + 0.03 0.15 0.141931 0.05 99 0 2 0 0 0 0 0 0 0 # CV_young_Fem_GP_1 0.03 0.15 0.110799 0.11 99 0 2 0 0 0 0 0 0 0 # CV_old_Fem_GP_1 # Sex: 1 BioPattern: 1 WtLen 0 1 3.26728e-06 0 99 6 -50 0 0 0 0 0 0 0 # Wtlen_1_Fem_GP_1 @@ -106,6 +107,7 @@ # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement +# Platoon StDev Ratio # Age Error from parameters # catch multiplier # fraction female, by GP @@ -130,7 +132,7 @@ -1 1 0 0 99 0 -50 0 0 0 0 0 0 0 # SR_autocorr #_no timevary SR parameters 1 #do_recdev: 0=none; 1=devvector (R=F(SSB)+dev); 2=deviations (R=F(SSB)+dev); 3=deviations (R=R0*dev; dev2=R-f(SSB)); 4=like 3 with sum(dev2) adding penalty -1970 # first year of main recr_devs; early devs can preceed this era +1970 # first year of main recr_devs; early devs can precede this era 2014 # last year of main recr_devs; forecast devs start in following year 6 #_recdev phase 1 # (0/1) to read 13 advanced options @@ -155,7 +157,7 @@ # # all recruitment deviations # 1970R 1971R 1972R 1973R 1974R 1975R 1976R 1977R 1978R 1979R 1980R 1981R 1982R 1983R 1984R 1985R 1986R 1987R 1988R 1989R 1990R 1991R 1992R 1993R 1994R 1995R 1996R 1997R 1998R 1999R 2000R 2001R 2002R 2003R 2004R 2005R 2006R 2007R 2008R 2009R 2010R 2011R 2012R 2013R 2014R 2015F 2016F 2017F 2018F 2019F 2020F 2021F 2022F 2023F 2024F 2025F 2026F -# 1.11855 0.225159 0.0770171 -0.0226627 -0.0271534 0.395328 0.967127 -0.12257 -1.11433 0.915029 -0.336055 0.509035 0.702896 -0.538528 0.625145 1.12878 0.844109 0.332453 0.320639 0.559213 0.799365 -0.0152733 -0.180634 -0.588112 0.0437364 0.616583 -1.75792 -1.38807 -0.417106 1.088 1.03714 0.211971 -0.0507163 -0.509679 -0.272378 -0.84732 -1.10089 -1.21847 1.09468 -1.09561 0.101721 -1.02526 -1.02692 0.846055 -0.904075 0 0 0 0 0 0 0 0 0 0 0 0 +# 1.11855 0.225167 0.0770164 -0.0226634 -0.0271444 0.395324 0.967124 -0.122567 -1.11433 0.915031 -0.336059 0.509036 0.702901 -0.538528 0.625148 1.12878 0.844111 0.332455 0.320639 0.559214 0.799365 -0.0152712 -0.180634 -0.588111 0.0437358 0.616583 -1.75792 -1.38807 -0.417107 1.088 1.03714 0.211971 -0.0507179 -0.50968 -0.272379 -0.847321 -1.10089 -1.21848 1.09468 -1.09561 0.10172 -1.02526 -1.02692 0.846053 -0.904076 0 0 0 0 0 0 0 0 0 0 0 0 # #Fishing Mortality info 0.02 # F ballpark value in units of annual_F @@ -171,9 +173,9 @@ # F rates by fleet x season # Yr: 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 # seas: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -# HKL 0.00236243 0.00172477 0.00380507 0.0012075 0.00232127 0.00180991 0.00136214 0.00188156 0.0024768 0.00626081 0.00222315 0.00277113 0.00262934 0.00193393 0.00193045 0.00547457 0.00689737 0.00790755 0.00635695 0.0051037 0.00450811 0.00682724 0.00623809 0.00489834 0.00512395 0.00665752 0.00774939 0.00644076 0.00342388 0.00558146 0.00569358 0.0049917 0.0036354 0.00393848 0.00396481 0.00412527 0.00385145 0.0032996 0.0041092 0.00621642 0.00641414 0.00610287 0.00494001 0.00375739 0.00387962 0.00646855 0.00716215 0.0152086 0.0152086 0.0152086 0.0152086 0.0152086 0.0152086 0.0152087 0.0152087 0.0152087 0.0152087 -# POT 0.00164487 0.00287052 0.00441651 0.00729383 0.048038 0.118838 0.245665 0.05362 0.0918528 0.180457 0.0472783 0.0601467 0.124404 0.127532 0.0989118 0.0888747 0.0691425 0.0511025 0.0567573 0.0560336 0.0432053 0.026891 0.020919 0.0227201 0.0368362 0.028342 0.0205814 0.0127335 0.0104823 0.017853 0.0208416 0.0177183 0.0136102 0.0123986 0.011323 0.0126593 0.0132904 0.00919783 0.00949667 0.012208 0.013178 0.0223811 0.0194121 0.0139818 0.0171999 0.0213162 0.0241539 0.0611802 0.0611802 0.0611802 0.0611802 0.0611802 0.0611802 0.0611802 0.0611802 0.0611802 0.0611802 -# TWL 0.0502045 0.0471953 0.0644954 0.0779026 0.0666306 0.0763092 0.0699772 0.0705695 0.0964653 0.138243 0.105524 0.127792 0.432703 0.326596 0.382757 0.354518 0.343042 0.335777 0.275214 0.293491 0.273509 0.266463 0.286249 0.26131 0.213098 0.229475 0.262333 0.234695 0.140727 0.229732 0.208666 0.186145 0.0974853 0.141326 0.16151 0.164407 0.170455 0.164244 0.200345 0.235088 0.197791 0.0997897 0.0949707 0.093263 0.0857817 0.0693785 0.0726338 0.331351 0.331351 0.331351 0.331351 0.331351 0.331351 0.331351 0.331351 0.331351 0.331351 +# HKL 0.00236243 0.00172478 0.00380508 0.0012075 0.00232128 0.00180991 0.00136214 0.00188156 0.00247681 0.00626083 0.00222316 0.00277114 0.00262935 0.00193393 0.00193046 0.00547459 0.00689741 0.00790759 0.00635698 0.00510372 0.00450814 0.00682728 0.00623813 0.00489837 0.00512398 0.00665756 0.00774944 0.0064408 0.0034239 0.0055815 0.00569361 0.00499173 0.00363543 0.0039385 0.00396484 0.0041253 0.00385148 0.00329962 0.00410922 0.00621646 0.00641418 0.00610291 0.00494004 0.00375741 0.00387964 0.00646859 0.00716219 0.0152087 0.0152087 0.0152087 0.0152087 0.0152087 0.0152087 0.0152087 0.0152087 0.0152087 0.0152087 +# POT 0.00164488 0.00287053 0.00441652 0.00729386 0.0480381 0.118839 0.245666 0.0536202 0.0918531 0.180458 0.0472785 0.0601469 0.124404 0.127533 0.0989123 0.0888752 0.0691428 0.0511028 0.0567576 0.0560339 0.0432055 0.0268911 0.0209191 0.0227202 0.0368364 0.0283422 0.0205815 0.0127336 0.0104823 0.0178531 0.0208417 0.0177184 0.0136103 0.0123986 0.011323 0.0126593 0.0132905 0.00919787 0.00949672 0.0122081 0.0131781 0.0223812 0.0194122 0.0139819 0.0172 0.0213163 0.024154 0.0611802 0.0611802 0.0611802 0.0611802 0.0611802 0.0611802 0.0611802 0.0611802 0.0611802 0.0611802 +# TWL 0.0502047 0.0471955 0.0644957 0.0779029 0.0666308 0.0763096 0.0699775 0.0705698 0.0964658 0.138244 0.105525 0.127793 0.432705 0.326598 0.382759 0.35452 0.343044 0.335779 0.275215 0.293493 0.273511 0.266465 0.286251 0.261312 0.2131 0.229476 0.262334 0.234696 0.140728 0.229734 0.208667 0.186147 0.097486 0.141327 0.16151 0.164408 0.170455 0.164245 0.200346 0.23509 0.197792 0.0997902 0.0949712 0.0932635 0.0857821 0.0693789 0.0726341 0.331351 0.331351 0.331351 0.331351 0.331351 0.331351 0.331351 0.331351 0.331351 0.331351 # #_Q_setup for fleets with cpue or survey data #_1: fleet number @@ -194,12 +196,12 @@ #_ LO HI INIT PRIOR PR_SD PR_type PHASE env-var use_dev dev_mnyr dev_mxyr dev_PH Block Blk_Fxn # parm_name -15 15 0.129048 0 1 0 -1 0 0 0 0 0 0 0 # LnQ_base_ENV(4) -3 0.5 -2.75911 0 99 0 1 0 1 1980 2004 -5 0 0 # LnQ_base_AKSHLF(5) - 0.1 1.3 0.422492 0 99 0 3 0 0 0 0 0 0 0 # Q_extraSD_AKSHLF(5) + 0.1 1.3 0.422493 0 99 0 3 0 0 0 0 0 0 0 # Q_extraSD_AKSHLF(5) -15 15 -2.4363 0 1 0 -1 0 0 0 0 0 0 0 # LnQ_base_AKSLP(6) - 0.001 0.7 0.0573011 0 99 0 3 0 0 0 0 0 0 0 # Q_extraSD_AKSLP(6) + 0.001 0.7 0.0573008 0 99 0 3 0 0 0 0 0 0 0 # Q_extraSD_AKSLP(6) -15 15 -3.16405 0 1 0 -1 0 0 0 0 0 0 0 # LnQ_base_NWSLP(7) - 0.001 0.8 0.0955853 0 99 0 3 0 0 0 0 0 0 0 # Q_extraSD_NWSLP(7) - -15 15 -2.28197 0 1 0 -1 0 0 0 0 0 0 0 # LnQ_base_NWCBO(8) + 0.001 0.8 0.0955848 0 99 0 3 0 0 0 0 0 0 0 # Q_extraSD_NWSLP(7) + -15 15 -2.28196 0 1 0 -1 0 0 0 0 0 0 0 # LnQ_base_NWCBO(8) 0 0.4 0 0 99 0 -3 0 0 0 0 0 0 0 # Q_extraSD_NWCBO(8) # timevary Q parameters #_ LO HI INIT PRIOR PR_SD PR_type PHASE # parm_name @@ -214,7 +216,7 @@ #Pattern:_11; parm=2; selex=1.0 for specified min-max population length bin range #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_6; parm=2+special; non-parm len selex -#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (average over bin range) +#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (mean over bin range) #Pattern:_8; parm=8; double_logistic with smooth transitions and constant above Linf option #Pattern:_9; parm=6; simple 4-parm double logistic with starting length; parm 5 is first length; parm 6=1 does desc as offset #Pattern:_21; parm=2+special; non-parm len selex, read as pairs of size, then selex @@ -224,7 +226,7 @@ #Pattern:_2; parm=6; double_normal with sel(minL) and sel(maxL), using joiners, back compatibile version of 24 with 3.30.18 and older #Pattern:_25; parm=3; exponential-logistic in length #Pattern:_27; parm=special+3; cubic spline in length; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (mean over bin range) #_discard_options:_0=none;_1=define_retention;_2=retention&mortality;_3=all_discarded_dead;_4=define_dome-shaped_retention #_Pattern Discard Male Special 0 2 0 0 # 1 HKL @@ -246,13 +248,13 @@ #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_16; parm=2; Coleraine - Gaussian #Pattern:_17; parm=nages+1; empirical as random walk N parameters to read can be overridden by setting special to non-zero -#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (average over bin range) +#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (mean over bin range) #Pattern:_18; parm=8; double logistic - smooth transition #Pattern:_19; parm=6; simple 4-parm double logistic with starting age #Pattern:_20; parm=6; double_normal,using joiners #Pattern:_26; parm=3; exponential-logistic in age #Pattern:_27; parm=3+special; cubic spline in age; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (mean over bin range) #Age patterns entered with value >100 create Min_selage from first digit and pattern from remainder #_Pattern Discard Male Special 27 0 1 4 # 1 HKL @@ -307,7 +309,7 @@ 0 35 13 0 99 0 -99 0 0 0 0 0 0 0 # AgeSpline_Knot_4_HKL_1 -5 3 -1.12207 0 99 0 5 0 0 0 0 0 0 0 # AgeSpline_Val_1_HKL_1 -5 3 0 0 99 0 -99 0 0 0 0 0 0 0 # AgeSpline_Val_2_HKL_1 - -5 3 -0.34777 0 99 0 5 0 0 0 0 0 4 2 # AgeSpline_Val_3_HKL_1 + -5 3 -0.347769 0 99 0 5 0 0 0 0 0 4 2 # AgeSpline_Val_3_HKL_1 -5 3 -0.814128 0 99 0 5 0 0 0 0 0 4 2 # AgeSpline_Val_4_HKL_1 1 25 10 0 99 0 -99 0 0 0 0 0 0 0 # AgeSel_1MaleDogleg_HKL -1 1 0 0 99 0 -99 0 0 0 0 0 0 0 # AgeSel_1MaleatZero_HKL @@ -315,7 +317,7 @@ -4 1 -1.09801 0 99 0 5 0 0 0 0 0 0 0 # AgeSel_1MaleatMaxage_HKL # 2 POT AgeSelex -2 2 0 0 99 0 -99 0 0 0 0 0 0 0 # AgeSpline_Code_POT_2 - -2 5 -0.0256868 0 99 0 5 0 0 0 0 0 0 0 # AgeSpline_GradLo_POT_2 + -2 5 -0.0256866 0 99 0 5 0 0 0 0 0 0 0 # AgeSpline_GradLo_POT_2 -5 2 -0.390806 0 99 0 5 0 0 0 0 0 0 0 # AgeSpline_GradHi_POT_2 0 35 2 0 99 0 -99 0 0 0 0 0 0 0 # AgeSpline_Knot_1_POT_2 0 35 4 0 99 0 -99 0 0 0 0 0 0 0 # AgeSpline_Knot_2_POT_2 @@ -324,7 +326,7 @@ -5 3 -2.19554 0 99 0 5 0 0 0 0 0 0 0 # AgeSpline_Val_1_POT_2 -5 3 -0.602696 0 99 0 5 0 0 0 0 0 4 2 # AgeSpline_Val_2_POT_2 -5 3 0 0 99 0 -99 0 0 0 0 0 0 0 # AgeSpline_Val_3_POT_2 - -5 3 0.063576 0 99 0 5 0 0 0 0 0 4 2 # AgeSpline_Val_4_POT_2 + -5 3 0.0635756 0 99 0 5 0 0 0 0 0 4 2 # AgeSpline_Val_4_POT_2 1 25 10 0 99 0 -99 0 0 0 0 0 0 0 # AgeSel_2MaleDogleg_POT -1 1 0 0 99 0 -99 0 0 0 0 0 0 0 # AgeSel_2MaleatZero_POT -3 1 -1.23717 0 99 0 5 0 0 0 0 0 0 0 # AgeSel_2MaleatDogleg_POT @@ -339,13 +341,13 @@ 0 35 8 0 99 0 -99 0 0 0 0 0 0 0 # AgeSpline_Knot_4_TWL_3 0 35 12 0 99 0 -99 0 0 0 0 0 0 0 # AgeSpline_Knot_5_TWL_3 -5 3 0.853508 0 99 0 5 0 0 0 0 0 0 0 # AgeSpline_Val_1_TWL_3 - -5 3 0.728733 0 99 0 5 0 0 0 0 0 4 2 # AgeSpline_Val_2_TWL_3 + -5 3 0.728732 0 99 0 5 0 0 0 0 0 4 2 # AgeSpline_Val_2_TWL_3 -5 3 0 0 99 0 -99 0 0 0 0 0 0 0 # AgeSpline_Val_3_TWL_3 - -5 3 0.210905 0 99 0 5 0 0 0 0 0 4 2 # AgeSpline_Val_4_TWL_3 - -5 3 -0.950131 0 99 0 5 0 0 0 0 0 0 0 # AgeSpline_Val_5_TWL_3 + -5 3 0.210906 0 99 0 5 0 0 0 0 0 4 2 # AgeSpline_Val_4_TWL_3 + -5 3 -0.95013 0 99 0 5 0 0 0 0 0 0 0 # AgeSpline_Val_5_TWL_3 1 25 4 0 99 0 -99 0 0 0 0 0 0 0 # AgeSel_3MaleDogleg_TWL -1 1 0 0 99 0 -99 0 0 0 0 0 0 0 # AgeSel_3MaleatZero_TWL - -3 1 0.00470773 0 99 0 5 0 0 0 0 0 0 0 # AgeSel_3MaleatDogleg_TWL + -3 1 0.00470775 0 99 0 5 0 0 0 0 0 0 0 # AgeSel_3MaleatDogleg_TWL -1 1 -0.139024 0 99 0 5 0 0 0 0 0 0 0 # AgeSel_3MaleatMaxage_TWL # 4 ENV AgeSelex 0 5 0 3 99 0 -99 0 0 0 0 0 0 0 # minage@sel=1_ENV(4) @@ -355,29 +357,29 @@ -5 5 -4 0.3 99 0 -4 0 0 0 0 0 0 0 # Age_DblN_top_logit_AKSHLF(5) 0.001 10 0.5 5 99 0 -4 0 0 0 0 0 0 0 # Age_DblN_ascend_se_AKSHLF(5) 0.001 10 1.80155 4 99 0 4 0 0 0 0 0 0 0 # Age_DblN_descend_se_AKSHLF(5) - -5 5 -2.84122 -5 99 0 4 0 0 0 0 0 0 0 # Age_DblN_start_logit_AKSHLF(5) + -5 5 -2.84123 -5 99 0 4 0 0 0 0 0 0 0 # Age_DblN_start_logit_AKSHLF(5) -5 5 -4.99 -5 99 0 -4 0 0 0 0 0 0 0 # Age_DblN_end_logit_AKSHLF(5) # 6 AKSLP AgeSelex 1 12 2.47448 1 99 0 4 0 0 0 0 0 0 0 # Age_DblN_peak_AKSLP(6) -5 5 -4 0.3 99 0 -4 0 0 0 0 0 0 0 # Age_DblN_top_logit_AKSLP(6) 0.001 10 0.1 5 99 0 -4 0 0 0 0 0 0 0 # Age_DblN_ascend_se_AKSLP(6) - 0.001 10 0.92445 4 99 0 4 0 0 0 0 0 0 0 # Age_DblN_descend_se_AKSLP(6) + 0.001 10 0.924466 4 99 0 4 0 0 0 0 0 0 0 # Age_DblN_descend_se_AKSLP(6) -5 5 -1.61349 -5 99 0 4 0 0 0 0 0 0 0 # Age_DblN_start_logit_AKSLP(6) - -5 5 -0.900194 -5 99 0 4 0 0 0 0 0 0 0 # Age_DblN_end_logit_AKSLP(6) + -5 5 -0.900193 -5 99 0 4 0 0 0 0 0 0 0 # Age_DblN_end_logit_AKSLP(6) # 7 NWSLP AgeSelex 1 12 3 1 99 0 -4 0 0 0 0 0 0 0 # Age_DblN_peak_NWSLP(7) -5 5 -4 0.3 99 0 -4 0 0 0 0 0 0 0 # Age_DblN_top_logit_NWSLP(7) 0.001 10 1.19262 5 99 0 4 0 0 0 0 0 0 0 # Age_DblN_ascend_se_NWSLP(7) - 0.001 10 0.857727 4 99 0 4 0 0 0 0 0 0 0 # Age_DblN_descend_se_NWSLP(7) + 0.001 10 0.857722 4 99 0 4 0 0 0 0 0 0 0 # Age_DblN_descend_se_NWSLP(7) -5 5 -3.74973 -5 99 0 4 0 0 0 0 0 0 0 # Age_DblN_start_logit_NWSLP(7) - -5 5 -0.0760731 -5 99 0 4 0 0 0 0 0 0 0 # Age_DblN_end_logit_NWSLP(7) + -5 5 -0.0760728 -5 99 0 4 0 0 0 0 0 0 0 # Age_DblN_end_logit_NWSLP(7) # 8 NWCBO AgeSelex 0.1 5 1.5 1 99 0 -4 0 0 0 0 0 0 0 # Age_DblN_peak_NWCBO(8) -5 5 -4 0.3 99 0 -4 0 0 0 0 0 0 0 # Age_DblN_top_logit_NWCBO(8) 0.001 5 0.5 5 99 0 -4 0 0 0 0 0 0 0 # Age_DblN_ascend_se_NWCBO(8) 0.001 10 2.99422 4 99 0 4 0 0 0 0 0 0 0 # Age_DblN_descend_se_NWCBO(8) - -5 5 -0.732126 -5 99 0 4 0 0 0 0 0 0 0 # Age_DblN_start_logit_NWCBO(8) - -5 5 -0.832841 -5 99 0 4 0 0 0 0 0 0 0 # Age_DblN_end_logit_NWCBO(8) + -5 5 -0.732127 -5 99 0 4 0 0 0 0 0 0 0 # Age_DblN_start_logit_NWCBO(8) + -5 5 -0.83284 -5 99 0 4 0 0 0 0 0 0 0 # Age_DblN_end_logit_NWCBO(8) #_No_Dirichlet parameters # timevary selex parameters #_ LO HI INIT PRIOR PR_SD PR_type PHASE # parm_name @@ -391,12 +393,16 @@ -5 3 -0.913952 0 99 0 5 # AgeSpline_Val_4_HKL_1_BLK4repl_1970 -5 3 -0.447535 0 99 0 5 # AgeSpline_Val_2_POT_2_BLK4repl_1970 -5 3 -0.239366 0 99 0 5 # AgeSpline_Val_4_POT_2_BLK4repl_1970 - -5 3 0.676125 0 99 0 5 # AgeSpline_Val_2_TWL_3_BLK4repl_1970 - -5 3 -0.242856 0 99 0 5 # AgeSpline_Val_4_TWL_3_BLK4repl_1970 + -5 3 0.676126 0 99 0 5 # AgeSpline_Val_2_TWL_3_BLK4repl_1970 + -5 3 -0.242855 0 99 0 5 # AgeSpline_Val_4_TWL_3_BLK4repl_1970 # info on dev vectors created for selex parms are reported with other devs after tag parameter section # -0 # use 2D_AR1 selectivity(0/1) +0 # use 2D_AR1 selectivity? (0/1) #_no 2D_AR1 selex offset used +#_specs: fleet, ymin, ymax, amin, amax, sigma_amax, use_rho, len1/age2, devphase, before_range, after_range +#_sigma_amax>amin means create sigma parm for each bin from min to sigma_amax; sigma_amax<0 means just one sigma parm is read and used for all bins +#_needed parameters follow each fleet's specifications +# -9999 0 0 0 0 0 0 0 0 0 0 # terminator # # Tag loss and Tag reporting parameters go next 0 # TG_custom: 0=no read and autogen if tag data exist; 1=read diff --git a/models/Sablefish2015/2015_data.ss b/models/Sablefish2015/2015_data.ss index f33eb4e..c614a56 100644 --- a/models/Sablefish2015/2015_data.ss +++ b/models/Sablefish2015/2015_data.ss @@ -1,23 +1,23 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov #_User_info_available_at:https://vlab.noaa.gov/group/stock-synthesis #_Source_code_at:_https://github.com/nmfs-stock-synthesis/stock-synthesis -#_Start_time: Tue Feb 14 23:40:23 2023 +#_Start_time: Tue Oct 31 17:00:29 2023 #_echo_input_data #C data file created using the SS_writedat function in the R package r4ss #C should work with SS version: #C file write time: 2015-05-13 13:24:55 -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 1970 #_StartYr 2014 #_EndYr 1 #_Nseas 12 #_months/season 2 #_Nsubseasons (even number, minimum is 2) 1 #_spawn_month -2 #_Ngenders: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) +2 #_Nsexes: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) 50 #_Nages=accumulator age, first age is always age 0 1 #_Nareas 8 #_Nfleets (including surveys) @@ -375,7 +375,7 @@ 1 # use length composition data (0/1/2) where 2 invokes new comp_control format #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie @@ -561,7 +561,7 @@ 0.0001 0.1037 0.2075 0.4094 0.6059 0.797 0.9831 1.1642 1.3403 1.5118 1.6786 1.841 1.999 2.1528 2.3024 2.448 2.5897 2.7275 2.8617 2.9923 3.1193 3.243 3.3633 3.4804 3.5943 3.7052 3.8131 3.9181 4.0202 4.1197 4.2164 4.3106 4.4022 4.4914 4.5781 4.6626 4.7447 4.8247 4.9025 4.9782 5.0519 5.1236 5.1934 5.2613 5.3273 5.3916 5.4542 5.5151 5.5743 5.632 5.6881 #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie diff --git a/models/Sablefish2015/forecast.ss b/models/Sablefish2015/forecast.ss index 229f37d..b9d0490 100644 --- a/models/Sablefish2015/forecast.ss +++ b/models/Sablefish2015/forecast.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #C forecast file written by R function SS_writeforecast #C rerun model to get more complete formatting in forecast.ss_new #C should work with SS version: SSv3.21_or_later @@ -19,27 +19,47 @@ # where none and simple require no input after this line; simple sets forecast F same as end year F 12 # N forecast years 1 # Fmult (only used for Do_Forecast==5) such that apical_F(f)=Fmult*relF(f) -#_Fcast_years: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) +#_Fcast_years for averaging: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) 2012 2014 2012 2014 -999 0 # 2012 2014 2012 2014 1970 2014 -0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from annual time-vary parms) +0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from time-vary parms). NOTE: logic reverses in new format +# A revised protocol for the Fcast_yr specification is available and recommended. Template is below. +# +#-12345 # code to invoke new format for expanded fcast year controls +# biology and selectivity vectors are updated annually in the forecast according to timevary parameters, so check end year of blocks and dev vectors +# input in this section directs creation of means over historical years to override any time_vary changes +# Factors implemented so far: 1=M, 4=recr_dist, 5=migration, 10=selectivity, 11=rel_F, 12=recruitment +# rel_F and Recruitment also have additional controls later in forecast.ss +# input as list: Factor, method (0, 1), st_yr, end_yr +# Terminate with -9999 for Factor +# st_yr and end_yr input can be actual year; <=0 sets rel. to timeseries endyr; Except -999 for st_yr sets to first year if time series +# Method = 0 (or omitted) continue using time_vary parms; 1 use mean of derived factor over specified year range +# Factor method st_yr end_yr +# 10 1 2012 2014 # selectivity; use: 10 1 2012 2014 +# 11 1 2012 2014 # rel_F; use: 11 1 2012 2014 +# 12 1 -999 0 # recruitment; use: 12 1 -999 0 +#-9999 0 0 0 +# 1 # Control rule method (0: none; 1: ramp does catch=f(SSB), buffer on F; 2: ramp does F=f(SSB), buffer on F; 3: ramp does catch=f(SSB), buffer on catch; 4: ramp does F=f(SSB), buffer on catch) # values for top, bottom and buffer exist, but not used when Policy=0 0.4 # Control rule inflection for constant F (as frac of Bzero, e.g. 0.40); must be > control rule cutoff, or set to -1 to use Bmsy/SSB_unf 0.1 # Control rule cutoff for no F (as frac of Bzero, e.g. 0.10) 0.913 # Buffer: enter Control rule target as fraction of Flimit (e.g. 0.75), negative value invokes list of [year, scalar] with filling from year to YrMax +# 3 #_N forecast loops (1=OFL only; 2=ABC; 3=get F from forecast ABC catch with allocations applied) -3 #_First forecast loop with stochastic recruitment -0 #_Forecast recruitment: 0= spawn_recr; 1=value*spawn_recr_fxn; 2=value*VirginRecr; 3=recent mean from yr range above (need to set phase to -1 in control to get constant recruitment in MCMC) -1 # value is ignored -0 #_Forecast loop control #5 (reserved for future bells&whistles) -2017 #FirstYear for caps and allocations (should be after years with fixed inputs) +3 # First forecast loop with stochastic recruitment +0 # Forecast base recruitment: 0= spawn_recr; 1=mult*spawn_recr_fxn; 2=mult*VirginRecr; 3=deprecated; 4=mult*mean_over_yr_range +# for option 4, set phase for fore_recr_devs to -1 in control to get constant mean in MCMC, else devs will be applied +1 # Value multiplier is ignored +0 # not used +# +2017 # FirstYear for caps and allocations (should be after years with fixed inputs) 0 # stddev of log(realized catch/target catch) in forecast (set value>0.0 to cause active impl_error) 0 # Do West Coast gfish rebuilder output: 0=no; 1=yes 1999 # Rebuilder: first year catch could have been set to zero (Ydecl)(-1 to set to 1999) 2002 # Rebuilder: year for current age structure (Yinit) (-1 to set to endyear+1) -1 # fleet relative F: 1=use first-last alloc year; 2=read seas, fleet, alloc list below -# Note that fleet allocation is used directly as average F if Do_Forecast=4 +1 # fleet relative F: 1=use mean over year range; 2=read seas, fleet, alloc list below +# Note that fleet allocation values is used directly as F if Do_Forecast=4 2 # basis for fcast catch tuning and for fcast catch caps and allocation (2=deadbio; 3=retainbio; 5=deadnum; 6=retainnum); NOTE: same units for all fleets # Conditional input if relative F choice = 2 # enter list of: season, fleet, relF; if used, terminate with season=-9999 diff --git a/models/Sablefish2015/ss.par b/models/Sablefish2015/ss.par index 0c0f90a..fce36cf 100644 --- a/models/Sablefish2015/ss.par +++ b/models/Sablefish2015/ss.par @@ -1,18 +1,18 @@ -# Number of parameters = 120 Objective function value = 26492.0596058963 Maximum gradient component = 0.00462807854875404 +# Number of parameters = 120 Objective function value = 26492.0596058843 Maximum gradient component = 0.000758840473188988 # dummy_parm: 1.00000000000 # MGparm[1]: -0.0994792448817 +0.0994793088268 # MGparm[2]: -22.0000000006 +22.0000000005 # MGparm[3]: -64.4759494624 +64.4759499913 # MGparm[4]: -0.349999995126 +0.349999995114 # MGparm[5]: -0.141931517557 +0.141931494039 # MGparm[6]: -0.110799105638 +0.110799104430 # MGparm[7]: 3.26728000000e-06 # MGparm[8]: @@ -26,17 +26,17 @@ # MGparm[12]: 0.00000000000 # MGparm[13]: -0.0751052741630 +0.0751053406957 # MGparm[14]: 0.00000000000 # MGparm[15]: -55.9350873228 +55.9350872725 # MGparm[16]: -0.483437632535 +0.483437628584 # MGparm[17]: 0.00000000000 # MGparm[18]: -0.0750234962524 +0.0750234984790 # MGparm[19]: 3.32942000000e-06 # MGparm[20]: @@ -52,7 +52,7 @@ # MGparm[25]: 0.500000000000 # SR_parm[1]: -11.9947029822 +11.9947001628 # SR_parm[2]: 0.600000000000 # SR_parm[3]: @@ -62,25 +62,25 @@ # SR_parm[5]: 0.00000000000 # recdev1: - 1.11855047110 0.225159157360 0.0770171412878 -0.0226626806875 -0.0271534283210 0.395328198095 0.967127168814 -0.122570167745 -1.11432888086 0.915029041616 -0.336055222724 0.509035445799 0.702896133111 -0.538528323537 0.625145441825 1.12877596437 0.844109001427 0.332452803644 0.320638713289 0.559212787959 0.799365065571 -0.0152733409688 -0.180633779099 -0.588112364617 0.0437363568819 0.616583322828 -1.75791961943 -1.38806709882 -0.417105679807 1.08800444885 1.03713923711 0.211971442668 -0.0507162848126 -0.509679085484 -0.272377734146 -0.847319896517 -1.10088610234 -1.21847456978 1.09467819781 -1.09561404527 0.101721100625 -1.02525604879 -1.02692187728 0.846054510119 -0.904074921119 + 1.11854678666 0.225166876422 0.0770163718705 -0.0226633649750 -0.0271443676039 0.395324450893 0.967124289320 -0.122566713310 -1.11433469111 0.915030973602 -0.336058913138 0.509036003610 0.702900965607 -0.538528068091 0.625148222186 1.12877844969 0.844110761045 0.332454735841 0.320639363998 0.559213661433 0.799365269862 -0.0152711699069 -0.180634149737 -0.588111405364 0.0437358022756 0.616583111113 -1.75792154523 -1.38806603885 -0.417107310151 1.08800420142 1.03713863351 0.211971233564 -0.0507179168028 -0.509680351837 -0.272378976298 -0.847321092001 -1.10088734535 -1.21847557679 1.09467743843 -1.09561485936 0.101720076181 -1.02525765858 -1.02692299352 0.846052792811 -0.904075963351 # Fcast_recruitments: 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 # Q_parm[1]: -0.129047533085 +0.129048337637 # Q_parm[2]: --2.75911254074 +-2.75910771572 # Q_parm[3]: -0.422491989594 +0.422492556529 # Q_parm[4]: --2.43630451310 +-2.43629975714 # Q_parm[5]: -0.0573010957646 +0.0573008113004 # Q_parm[6]: --3.16405481845 +-3.16404864216 # Q_parm[7]: -0.0955852795236 +0.0955848181902 # Q_parm[8]: --2.28196952093 +-2.28196342279 # Q_parm[9]: 0.00000000000 # Q_parm[10]: @@ -92,7 +92,7 @@ # selparm[2]: 1.00000000000 # selparm[3]: -8.26613874837 +8.26613908895 # selparm[4]: 0.00000000000 # selparm[5]: @@ -104,9 +104,9 @@ # selparm[8]: 0.00000000000 # selparm[9]: -46.5601212931 +46.5601207776 # selparm[10]: -3.66139213208 +3.66139195895 # selparm[11]: 10.0000000000 # selparm[12]: @@ -120,9 +120,9 @@ # selparm[16]: 0.00000000000 # selparm[17]: -45.0200843647 +45.0200845206 # selparm[18]: -2.09988024866 +2.09988027280 # selparm[19]: 10.0000000000 # selparm[20]: @@ -138,9 +138,9 @@ # selparm[25]: 0.00000000000 # selparm[26]: -0.488307544023 +0.488307726271 # selparm[27]: --0.751058811959 +-0.751058915999 # selparm[28]: 2.00000000000 # selparm[29]: @@ -150,27 +150,27 @@ # selparm[31]: 13.0000000000 # selparm[32]: --1.12206612888 +-1.12206575699 # selparm[33]: 0.00000000000 # selparm[34]: --0.347770090398 +-0.347768619915 # selparm[35]: --0.814128369557 +-0.814128362948 # selparm[36]: 10.0000000000 # selparm[37]: 0.00000000000 # selparm[38]: --1.26916599113 +-1.26916660593 # selparm[39]: --1.09801279980 +-1.09801104973 # selparm[40]: 0.00000000000 # selparm[41]: --0.0256867606237 +-0.0256865949846 # selparm[42]: --0.390805669362 +-0.390805880265 # selparm[43]: 2.00000000000 # selparm[44]: @@ -180,27 +180,27 @@ # selparm[46]: 12.0000000000 # selparm[47]: --2.19553710402 +-2.19553838371 # selparm[48]: --0.602695508808 +-0.602696477475 # selparm[49]: 0.00000000000 # selparm[50]: -0.0635760191118 +0.0635756235448 # selparm[51]: 10.0000000000 # selparm[52]: 0.00000000000 # selparm[53]: --1.23717075316 +-1.23717104305 # selparm[54]: --1.43775665204 +-1.43775631979 # selparm[55]: 0.00000000000 # selparm[56]: --0.999999998024 +-0.999999998012 # selparm[57]: --0.183204978306 +-0.183204936001 # selparm[58]: 1.00000000000 # selparm[59]: @@ -212,23 +212,23 @@ # selparm[62]: 12.0000000000 # selparm[63]: -0.853508408182 +0.853508351924 # selparm[64]: -0.728732783682 +0.728732388903 # selparm[65]: 0.00000000000 # selparm[66]: -0.210905345270 +0.210905809172 # selparm[67]: --0.950130511545 +-0.950130366619 # selparm[68]: 4.00000000000 # selparm[69]: 0.00000000000 # selparm[70]: -0.00470773365005 +0.00470774731950 # selparm[71]: --0.139023816276 +-0.139023902853 # selparm[72]: 0.00000000000 # selparm[73]: @@ -240,35 +240,35 @@ # selparm[76]: 0.500000000000 # selparm[77]: -1.80154702617 +1.80154745779 # selparm[78]: --2.84122340651 +-2.84122540857 # selparm[79]: -4.99000000000 # selparm[80]: -2.47448470293 +2.47448360392 # selparm[81]: -4.00000000000 # selparm[82]: 0.100000000000 # selparm[83]: -0.924449919500 +0.924465709745 # selparm[84]: --1.61348611210 +-1.61348590160 # selparm[85]: --0.900193570941 +-0.900192616816 # selparm[86]: 3.00000000000 # selparm[87]: -4.00000000000 # selparm[88]: -1.19261597325 +1.19261553801 # selparm[89]: -0.857726879814 +0.857722062257 # selparm[90]: --3.74973025903 +-3.74973393618 # selparm[91]: --0.0760731084564 +-0.0760728258235 # selparm[92]: 1.50000000000 # selparm[93]: @@ -276,11 +276,11 @@ # selparm[94]: 0.500000000000 # selparm[95]: -2.99421993091 +2.99422042874 # selparm[96]: --0.732125949717 +-0.732127042796 # selparm[97]: --0.832841442006 +-0.832840373945 # selparm[98]: 25.0000000000 # selparm[99]: @@ -292,19 +292,19 @@ # selparm[102]: 25.0000000000 # selparm[103]: -0.999999966741 +0.999999966948 # selparm[104]: --0.776336323208 +-0.776335581175 # selparm[105]: --0.913951963858 +-0.913951998783 # selparm[106]: --0.447534931018 +-0.447535406197 # selparm[107]: --0.239366310818 +-0.239366381711 # selparm[108]: -0.676125440668 +0.676125691793 # selparm[109]: --0.242855750072 +-0.242855198579 # parm_dev[1]: 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 # checksum999: diff --git a/models/Sablefish2015/ss_summary.sso b/models/Sablefish2015/ss_summary.sso index 7f92f10..64e85cf 100644 --- a/models/Sablefish2015/ss_summary.sso +++ b/models/Sablefish2015/ss_summary.sso @@ -1,8 +1,8 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 2015_data.ss #_DataFile 2015_control.ss #_Control -Run_Date: Tue Feb 14 23:27:18 2023 -Final_phase: 7 N_iterations: 1010 +Run_Date: Tue Oct 31 16:44:36 2023 +Final_phase: 7 N_iterations: 1020 #_LIKELIHOOD Label logL*Lambda TOTAL_LogL 26492.1 @@ -13,9 +13,9 @@ Length_comp 3952.32 Age_comp 3866.76 Recruitment 13.2709 InitEQ_regime 0 -Sum_recdevs 4.44089e-15 +Sum_recdevs 0 Forecast_Recruitment 0 -Parm_priors 1.31639 +Parm_priors 1.31638 Parm_softbounds 0 Parm_devs 0 F_Ballpark 0 @@ -23,24 +23,24 @@ Crash_Pen 0 #_PARAMETERS #label value se active? range #_BIOLOGY -NatM_uniform_Fem_GP_1 0.0994792 0.00373654 Act 0.894784 -L_at_Amin_Fem_GP_1 22 1.58376e-06 Act 6.88187e-11 +NatM_uniform_Fem_GP_1 0.0994793 0.00373527 Act 0.894784 +L_at_Amin_Fem_GP_1 22 1.56181e-06 Act 6.65845e-11 L_at_Amax_Fem_GP_1 64.4759 0.167132 Act 0.447595 -VonBert_K_Fem_GP_1 0.35 2.18012e-06 Act 0.999995 -CV_young_Fem_GP_1 0.141932 0.00407944 Act 0.932755 -CV_old_Fem_GP_1 0.110799 0.00216833 Act 0.67332 +VonBert_K_Fem_GP_1 0.35 2.18411e-06 Act 0.999995 +CV_young_Fem_GP_1 0.141931 0.00407952 Act 0.932755 +CV_old_Fem_GP_1 0.110799 0.00216834 Act 0.67332 Wtlen_1_Fem_GP_1 3.26728e-06 0 Fix 3.26728e-06 Wtlen_2_Fem_GP_1 3.27596 0 Fix 0.81899 Mat50%_Fem_GP_1 58 0 Fix 0.5 Mat_slope_Fem_GP_1 -0.13 0 Fix 0.478333 Eggs/kg_inter_Fem_GP_1 1 0 Fix 0.666667 Eggs/kg_slope_wt_Fem_GP_1 0 0 Fix 0.5 -NatM_uniform_Mal_GP_1 0.0751053 0.00400871 Act 0.651046 +NatM_uniform_Mal_GP_1 0.0751053 0.0040069 Act 0.651047 L_at_Amin_Mal_GP_1 0 0 Fix 0.5 -L_at_Amax_Mal_GP_1 55.9351 0.115613 Act 0.593509 +L_at_Amax_Mal_GP_1 55.9351 0.11561 Act 0.593509 VonBert_K_Mal_GP_1 0.483438 0.00712526 Act 0.944789 CV_young_Mal_GP_1 0 0 Fix 0.5 -CV_old_Mal_GP_1 0.0750235 0.00136692 Act 0.375193 +CV_old_Mal_GP_1 0.0750235 0.00136703 Act 0.375193 Wtlen_1_Mal_GP_1 3.32942e-06 0 Fix 3.32942e-06 Wtlen_2_Mal_GP_1 3.27292 0 Fix 0.81823 RecrDist_GP_1 0 0 Fix 0.5 @@ -49,56 +49,56 @@ RecrDist_month_1 0 0 Fix 0.5 CohortGrowDev 1 0 Fix 0.0909091 FracFemale_GP_1 0.5 0 Fix 0.499999 #_SPAWN_RECR -SR_LN(R0) 11.9947 0.270314 Act 0.998675 +SR_LN(R0) 11.9947 0.270064 Act 0.998675 SR_BH_steep 0.6 0 Fix 0.499999 SR_sigmaR 0.95 0 Fix 0.576923 SR_regime 0 0 Fix 0.5 SR_autocorr 0 0 Fix 0.5 -Main_RecrDev_1970 1.11855 0.548547 Act 0.639819 -Main_RecrDev_1971 0.225159 0.917546 Act 0.528145 -Main_RecrDev_1972 0.0770171 0.823308 Act 0.509627 -Main_RecrDev_1973 -0.0226627 0.777797 Act 0.497167 -Main_RecrDev_1974 -0.0271534 0.779877 Act 0.496606 -Main_RecrDev_1975 0.395328 0.837746 Act 0.549416 -Main_RecrDev_1976 0.967127 0.554122 Act 0.620891 -Main_RecrDev_1977 -0.12257 0.623399 Act 0.484679 -Main_RecrDev_1978 -1.11433 0.625793 Act 0.360709 -Main_RecrDev_1979 0.915029 0.213873 Act 0.614379 -Main_RecrDev_1980 -0.336055 0.393664 Act 0.457993 -Main_RecrDev_1981 0.509035 0.179618 Act 0.563629 -Main_RecrDev_1982 0.702896 0.327882 Act 0.587862 -Main_RecrDev_1983 -0.538528 0.377469 Act 0.432684 -Main_RecrDev_1984 0.625145 0.217031 Act 0.578143 -Main_RecrDev_1985 1.12878 0.168043 Act 0.641097 -Main_RecrDev_1986 0.844109 0.166871 Act 0.605514 -Main_RecrDev_1987 0.332453 0.189808 Act 0.541557 -Main_RecrDev_1988 0.320639 0.173865 Act 0.54008 -Main_RecrDev_1989 0.559213 0.198082 Act 0.569902 -Main_RecrDev_1990 0.799365 0.15128 Act 0.599921 -Main_RecrDev_1991 -0.0152733 0.208929 Act 0.498091 -Main_RecrDev_1992 -0.180634 0.229332 Act 0.477421 -Main_RecrDev_1993 -0.588112 0.236897 Act 0.426486 -Main_RecrDev_1994 0.0437364 0.142967 Act 0.505467 -Main_RecrDev_1995 0.616583 0.0946533 Act 0.577073 +Main_RecrDev_1970 1.11855 0.548534 Act 0.639818 +Main_RecrDev_1971 0.225167 0.917538 Act 0.528146 +Main_RecrDev_1972 0.0770164 0.823305 Act 0.509627 +Main_RecrDev_1973 -0.0226634 0.777796 Act 0.497167 +Main_RecrDev_1974 -0.0271444 0.779872 Act 0.496607 +Main_RecrDev_1975 0.395324 0.837753 Act 0.549415 +Main_RecrDev_1976 0.967124 0.554124 Act 0.62089 +Main_RecrDev_1977 -0.122567 0.623397 Act 0.484679 +Main_RecrDev_1978 -1.11433 0.625794 Act 0.360708 +Main_RecrDev_1979 0.915031 0.213866 Act 0.614379 +Main_RecrDev_1980 -0.336059 0.393663 Act 0.457993 +Main_RecrDev_1981 0.509036 0.179618 Act 0.563629 +Main_RecrDev_1982 0.702901 0.327777 Act 0.587863 +Main_RecrDev_1983 -0.538528 0.377445 Act 0.432684 +Main_RecrDev_1984 0.625148 0.216941 Act 0.578143 +Main_RecrDev_1985 1.12878 0.167976 Act 0.641097 +Main_RecrDev_1986 0.844111 0.166829 Act 0.605514 +Main_RecrDev_1987 0.332455 0.189785 Act 0.541557 +Main_RecrDev_1988 0.320639 0.173858 Act 0.54008 +Main_RecrDev_1989 0.559214 0.198073 Act 0.569902 +Main_RecrDev_1990 0.799365 0.151275 Act 0.599921 +Main_RecrDev_1991 -0.0152712 0.208928 Act 0.498091 +Main_RecrDev_1992 -0.180634 0.229331 Act 0.477421 +Main_RecrDev_1993 -0.588111 0.236897 Act 0.426486 +Main_RecrDev_1994 0.0437358 0.142967 Act 0.505467 +Main_RecrDev_1995 0.616583 0.0946519 Act 0.577073 Main_RecrDev_1996 -1.75792 0.32284 Act 0.28026 -Main_RecrDev_1997 -1.38807 0.192102 Act 0.326492 -Main_RecrDev_1998 -0.417106 0.138066 Act 0.447862 -Main_RecrDev_1999 1.088 0.0737467 Act 0.636 -Main_RecrDev_2000 1.03714 0.0832114 Act 0.629642 -Main_RecrDev_2001 0.211971 0.116895 Act 0.526496 -Main_RecrDev_2002 -0.0507163 0.111215 Act 0.49366 -Main_RecrDev_2003 -0.509679 0.10189 Act 0.43629 -Main_RecrDev_2004 -0.272378 0.0929864 Act 0.465953 -Main_RecrDev_2005 -0.84732 0.103275 Act 0.394085 -Main_RecrDev_2006 -1.10089 0.108278 Act 0.362389 -Main_RecrDev_2007 -1.21847 0.119089 Act 0.347691 -Main_RecrDev_2008 1.09468 0.0794963 Act 0.636835 +Main_RecrDev_1997 -1.38807 0.1921 Act 0.326492 +Main_RecrDev_1998 -0.417107 0.138045 Act 0.447862 +Main_RecrDev_1999 1.088 0.0737436 Act 0.636 +Main_RecrDev_2000 1.03714 0.0832066 Act 0.629642 +Main_RecrDev_2001 0.211971 0.116885 Act 0.526496 +Main_RecrDev_2002 -0.0507179 0.11119 Act 0.49366 +Main_RecrDev_2003 -0.50968 0.101876 Act 0.43629 +Main_RecrDev_2004 -0.272379 0.0929769 Act 0.465953 +Main_RecrDev_2005 -0.847321 0.103267 Act 0.394085 +Main_RecrDev_2006 -1.10089 0.108271 Act 0.362389 +Main_RecrDev_2007 -1.21848 0.11908 Act 0.347691 +Main_RecrDev_2008 1.09468 0.0794942 Act 0.636835 Main_RecrDev_2009 -1.09561 0.126635 Act 0.363048 -Main_RecrDev_2010 0.101721 0.10257 Act 0.512715 -Main_RecrDev_2011 -1.02526 0.142798 Act 0.371843 -Main_RecrDev_2012 -1.02692 0.160349 Act 0.371635 -Main_RecrDev_2013 0.846055 0.144892 Act 0.605757 -Main_RecrDev_2014 -0.904075 0.349044 Act 0.386991 +Main_RecrDev_2010 0.10172 0.102567 Act 0.512715 +Main_RecrDev_2011 -1.02526 0.142776 Act 0.371843 +Main_RecrDev_2012 -1.02692 0.16033 Act 0.371635 +Main_RecrDev_2013 0.846053 0.144866 Act 0.605757 +Main_RecrDev_2014 -0.904076 0.349034 Act 0.38699 ForeRecr_2015 0 0.95 Act 0.5 ForeRecr_2016 0 0.95 Act 0.5 ForeRecr_2017 0 0.95 Act 0.5 @@ -113,18 +113,18 @@ ForeRecr_2025 0 0.95 Act 0.5 ForeRecr_2026 0 0.95 Act 0.5 #_Catchability LnQ_base_ENV(4) 0.129048 0 Fix 0.504302 -LnQ_base_AKSHLF(5) -2.75911 0.431479 Act 0.068825 -Q_extraSD_AKSHLF(5) 0.422492 0.121515 Act 0.268743 +LnQ_base_AKSHLF(5) -2.75911 0.431158 Act 0.0688263 +Q_extraSD_AKSHLF(5) 0.422493 0.121512 Act 0.268744 LnQ_base_AKSLP(6) -2.4363 0 Fix 0.41879 -Q_extraSD_AKSLP(6) 0.0573011 0.0507927 Act 0.0805451 -LnQ_base_NWSLP(7) -3.16405 0 Fix 0.394531 -Q_extraSD_NWSLP(7) 0.0955853 0.0528813 Act 0.118379 -LnQ_base_NWCBO(8) -2.28197 0 Fix 0.423934 +Q_extraSD_AKSLP(6) 0.0573008 0.0507925 Act 0.0805447 +LnQ_base_NWSLP(7) -3.16405 0 Fix 0.394532 +Q_extraSD_NWSLP(7) 0.0955848 0.0528809 Act 0.118379 +LnQ_base_NWCBO(8) -2.28196 0 Fix 0.423935 Q_extraSD_NWCBO(8) 0 0 Fix 0 LnQ_base_AKSHLF(5)_dev_se 2 0 Fix 0.999999 LnQ_base_AKSHLF(5)_dev_autocorr 0 0 Fix 0.5 #_Selectivity -Retain_L_infl_HKL(1) 25 4.04005e-06 Act 4.58444e-11 +Retain_L_infl_HKL(1) 25 4.05484e-06 Act 4.60743e-11 Retain_L_width_HKL(1) 1 0 Fix 0.249812 Retain_L_asymptote_logit_HKL(1) 8.26614 0.245647 Act 0.913307 Retain_L_maleoffset_HKL(1) 0 0 Fix 0.5 @@ -132,7 +132,7 @@ DiscMort_L_infl_HKL(1) 28 0 Fix 0.322581 DiscMort_L_width_HKL(1) 0.01 0 Fix 0.00450225 DiscMort_L_level_old_HKL(1) 0.2 0 Fix 0.240506 DiscMort_L_male_offset_HKL(1) 0 0 Fix 0.5 -Retain_L_infl_POT(2) 46.5601 0.687348 Act 0.462405 +Retain_L_infl_POT(2) 46.5601 0.687297 Act 0.462405 Retain_L_width_POT(2) 3.66139 0.136953 Act 0.0389054 Retain_L_asymptote_logit_POT(2) 10 0 Fix 1 Retain_L_maleoffset_POT(2) 0 0 Fix 0.5 @@ -140,8 +140,8 @@ DiscMort_L_infl_POT(2) 28 0 Fix 0.322581 DiscMort_L_width_POT(2) 0.01 0 Fix 0.00450225 DiscMort_L_level_old_POT(2) 0.2 0 Fix 0.240506 DiscMort_L_male_offset_POT(2) 0 0 Fix 0.5 -Retain_L_infl_TWL(3) 45.0201 0.360673 Act 0.501004 -Retain_L_width_TWL(3) 2.09988 0.119011 Act 0.27497 +Retain_L_infl_TWL(3) 45.0201 0.360666 Act 0.501004 +Retain_L_width_TWL(3) 2.09988 0.11901 Act 0.27497 Retain_L_asymptote_logit_TWL(3) 10 0 Fix 1 Retain_L_maleoffset_TWL(3) 0 0 Fix 0.5 DiscMort_L_infl_TWL(3) 28 0 Fix 0.322581 @@ -149,90 +149,90 @@ DiscMort_L_width_TWL(3) 0.01 0 Fix 0.00450225 DiscMort_L_level_old_TWL(3) 0.5 0 Fix 0.571428 DiscMort_L_male_offset_TWL(3) 0 0 Fix 0.5 AgeSpline_Code_HKL_1 0 0 Fix 0.5 -AgeSpline_GradLo_HKL_1 0.488308 0.0544814 Act 0.548831 -AgeSpline_GradHi_HKL_1 -0.751059 0.112638 Act 0.606992 +AgeSpline_GradLo_HKL_1 0.488308 0.0544794 Act 0.548831 +AgeSpline_GradHi_HKL_1 -0.751059 0.112638 Act 0.606991 AgeSpline_Knot_1_HKL_1 2 0 Fix 0.0571429 AgeSpline_Knot_2_HKL_1 6 0 Fix 0.171429 AgeSpline_Knot_3_HKL_1 9 0 Fix 0.257143 AgeSpline_Knot_4_HKL_1 13 0 Fix 0.371429 -AgeSpline_Val_1_HKL_1 -1.12207 0.144661 Act 0.484742 +AgeSpline_Val_1_HKL_1 -1.12207 0.14466 Act 0.484742 AgeSpline_Val_2_HKL_1 0 0 Fix 0.625 -AgeSpline_Val_3_HKL_1 -0.34777 0.204993 Act 0.581529 -AgeSpline_Val_4_HKL_1 -0.814128 0.195793 Act 0.523234 +AgeSpline_Val_3_HKL_1 -0.347769 0.204991 Act 0.581529 +AgeSpline_Val_4_HKL_1 -0.814128 0.19579 Act 0.523234 AgeSel_1MaleDogleg_HKL 10 0 Fix 0.375 AgeSel_1MaleatZero_HKL 0 0 Fix 0.5 AgeSel_1MaleatDogleg_HKL -1.26917 0.118812 Act 0.432708 -AgeSel_1MaleatMaxage_HKL -1.09801 0.413504 Act 0.580397 +AgeSel_1MaleatMaxage_HKL -1.09801 0.413504 Act 0.580398 AgeSpline_Code_POT_2 0 0 Fix 0.5 -AgeSpline_GradLo_POT_2 -0.0256868 0.0827622 Act 0.282045 -AgeSpline_GradHi_POT_2 -0.390806 0.0902118 Act 0.658456 +AgeSpline_GradLo_POT_2 -0.0256866 0.0827558 Act 0.282045 +AgeSpline_GradHi_POT_2 -0.390806 0.0902116 Act 0.658456 AgeSpline_Knot_1_POT_2 2 0 Fix 0.0571429 AgeSpline_Knot_2_POT_2 4 0 Fix 0.114286 AgeSpline_Knot_3_POT_2 8 0 Fix 0.228571 AgeSpline_Knot_4_POT_2 12 0 Fix 0.342857 -AgeSpline_Val_1_POT_2 -2.19554 0.237496 Act 0.350558 -AgeSpline_Val_2_POT_2 -0.602696 0.203851 Act 0.549663 +AgeSpline_Val_1_POT_2 -2.19554 0.237483 Act 0.350558 +AgeSpline_Val_2_POT_2 -0.602696 0.203849 Act 0.549663 AgeSpline_Val_3_POT_2 0 0 Fix 0.625 -AgeSpline_Val_4_POT_2 0.063576 0.272986 Act 0.632947 +AgeSpline_Val_4_POT_2 0.0635756 0.272985 Act 0.632947 AgeSel_2MaleDogleg_POT 10 0 Fix 0.375 AgeSel_2MaleatZero_POT 0 0 Fix 0.5 -AgeSel_2MaleatDogleg_POT -1.23717 0.10948 Act 0.440707 +AgeSel_2MaleatDogleg_POT -1.23717 0.109479 Act 0.440707 AgeSel_2MaleatMaxage_POT -1.43776 0.29851 Act 0.512449 AgeSpline_Code_TWL_3 0 0 Fix 0.5 -AgeSpline_GradLo_TWL_3 -1 4.83226e-06 Act 3.29388e-10 -AgeSpline_GradHi_TWL_3 -0.183205 0.0739078 Act 0.688113 +AgeSpline_GradLo_TWL_3 -1 4.85329e-06 Act 3.31304e-10 +AgeSpline_GradHi_TWL_3 -0.183205 0.0739044 Act 0.688113 AgeSpline_Knot_1_TWL_3 1 0 Fix 0.0285714 AgeSpline_Knot_2_TWL_3 2 0 Fix 0.0571429 AgeSpline_Knot_3_TWL_3 4 0 Fix 0.114286 AgeSpline_Knot_4_TWL_3 8 0 Fix 0.228571 AgeSpline_Knot_5_TWL_3 12 0 Fix 0.342857 -AgeSpline_Val_1_TWL_3 0.853508 0.130491 Act 0.731688 -AgeSpline_Val_2_TWL_3 0.728733 0.100039 Act 0.716092 +AgeSpline_Val_1_TWL_3 0.853508 0.13049 Act 0.731688 +AgeSpline_Val_2_TWL_3 0.728732 0.100039 Act 0.716091 AgeSpline_Val_3_TWL_3 0 0 Fix 0.625 -AgeSpline_Val_4_TWL_3 0.210905 0.154581 Act 0.651363 -AgeSpline_Val_5_TWL_3 -0.950131 0.108528 Act 0.506234 +AgeSpline_Val_4_TWL_3 0.210906 0.154574 Act 0.651363 +AgeSpline_Val_5_TWL_3 -0.95013 0.108517 Act 0.506234 AgeSel_3MaleDogleg_TWL 4 0 Fix 0.125 AgeSel_3MaleatZero_TWL 0 0 Fix 0.5 -AgeSel_3MaleatDogleg_TWL 0.00470773 0.0580251 Act 0.751177 -AgeSel_3MaleatMaxage_TWL -0.139024 0.170435 Act 0.430488 +AgeSel_3MaleatDogleg_TWL 0.00470775 0.0580249 Act 0.751177 +AgeSel_3MaleatMaxage_TWL -0.139024 0.170434 Act 0.430488 minage@sel=1_ENV(4) 0 0 Fix 0 maxage@sel=1_ENV(4) 50 0 Fix 0.830508 Age_DblN_peak_AKSHLF(5) 1.5 0 Fix 0.0454545 Age_DblN_top_logit_AKSHLF(5) -4 0 Fix 0.1 Age_DblN_ascend_se_AKSHLF(5) 0.5 0 Fix 0.049905 -Age_DblN_descend_se_AKSHLF(5) 1.80155 0.151484 Act 0.180073 -Age_DblN_start_logit_AKSHLF(5) -2.84122 0.443512 Act 0.215878 +Age_DblN_descend_se_AKSHLF(5) 1.80155 0.151483 Act 0.180073 +Age_DblN_start_logit_AKSHLF(5) -2.84123 0.443505 Act 0.215877 Age_DblN_end_logit_AKSHLF(5) -4.99 0 Fix 0.001 -Age_DblN_peak_AKSLP(6) 2.47448 0.164596 Act 0.134044 +Age_DblN_peak_AKSLP(6) 2.47448 0.164595 Act 0.134044 Age_DblN_top_logit_AKSLP(6) -4 0 Fix 0.1 Age_DblN_ascend_se_AKSLP(6) 0.1 0 Fix 0.00990099 -Age_DblN_descend_se_AKSLP(6) 0.92445 0.918975 Act 0.0923542 -Age_DblN_start_logit_AKSLP(6) -1.61349 0.217784 Act 0.338651 -Age_DblN_end_logit_AKSLP(6) -0.900194 0.216778 Act 0.409981 +Age_DblN_descend_se_AKSLP(6) 0.924466 0.918957 Act 0.0923558 +Age_DblN_start_logit_AKSLP(6) -1.61349 0.217776 Act 0.338651 +Age_DblN_end_logit_AKSLP(6) -0.900193 0.216778 Act 0.409981 Age_DblN_peak_NWSLP(7) 3 0 Fix 0.181818 Age_DblN_top_logit_NWSLP(7) -4 0 Fix 0.1 -Age_DblN_ascend_se_NWSLP(7) 1.19262 0.220176 Act 0.119174 -Age_DblN_descend_se_NWSLP(7) 0.857727 0.632397 Act 0.0856812 -Age_DblN_start_logit_NWSLP(7) -3.74973 0.495687 Act 0.125027 -Age_DblN_end_logit_NWSLP(7) -0.0760731 0.206901 Act 0.492393 +Age_DblN_ascend_se_NWSLP(7) 1.19262 0.220176 Act 0.119173 +Age_DblN_descend_se_NWSLP(7) 0.857722 0.632399 Act 0.0856808 +Age_DblN_start_logit_NWSLP(7) -3.74973 0.495681 Act 0.125027 +Age_DblN_end_logit_NWSLP(7) -0.0760728 0.2069 Act 0.492393 Age_DblN_peak_NWCBO(8) 1.5 0 Fix 0.285714 Age_DblN_top_logit_NWCBO(8) -4 0 Fix 0.1 Age_DblN_ascend_se_NWCBO(8) 0.5 0 Fix 0.0998199 -Age_DblN_descend_se_NWCBO(8) 2.99422 0.162243 Act 0.299352 -Age_DblN_start_logit_NWCBO(8) -0.732126 0.163951 Act 0.426787 -Age_DblN_end_logit_NWCBO(8) -0.832841 0.138805 Act 0.416716 +Age_DblN_descend_se_NWCBO(8) 2.99422 0.16224 Act 0.299352 +Age_DblN_start_logit_NWCBO(8) -0.732127 0.16392 Act 0.426787 +Age_DblN_end_logit_NWCBO(8) -0.83284 0.138793 Act 0.416716 Retain_L_infl_HKL(1)_BLK3repl_1970 25 0 Fix 0 Retain_L_asymptote_logit_HKL(1)_BLK1repl_1970 1 0 Fix 0.999997 Retain_L_infl_POT(2)_BLK3repl_1970 25 0 Fix 0 Retain_L_asymptote_logit_POT(2)_BLK1repl_1970 1 0 Fix 0.999997 Retain_L_infl_TWL(3)_BLK3repl_1970 25 0 Fix 0 -Retain_L_asymptote_logit_TWL(3)_BLK2repl_1982 1 1.8193e-05 Act 0.999997 +Retain_L_asymptote_logit_TWL(3)_BLK2repl_1982 1 1.81077e-05 Act 0.999997 AgeSpline_Val_3_HKL_1_BLK4repl_1970 -0.776336 0.23219 Act 0.527958 AgeSpline_Val_4_HKL_1_BLK4repl_1970 -0.913952 0.195008 Act 0.510756 -AgeSpline_Val_2_POT_2_BLK4repl_1970 -0.447535 0.198867 Act 0.569058 +AgeSpline_Val_2_POT_2_BLK4repl_1970 -0.447535 0.198861 Act 0.569058 AgeSpline_Val_4_POT_2_BLK4repl_1970 -0.239366 0.220731 Act 0.595079 -AgeSpline_Val_2_TWL_3_BLK4repl_1970 0.676125 0.100675 Act 0.709516 -AgeSpline_Val_4_TWL_3_BLK4repl_1970 -0.242856 0.141119 Act 0.594643 +AgeSpline_Val_2_TWL_3_BLK4repl_1970 0.676126 0.100666 Act 0.709516 +AgeSpline_Val_4_TWL_3_BLK4repl_1970 -0.242855 0.141117 Act 0.594643 #_Parm_Dev LnQ_base_AKSHLF(5)_DEVmult_1980 0 0 FIX 0.5 LnQ_base_AKSHLF(5)_DEVmult_1981 0 0 FIX 0.5 @@ -261,173 +261,173 @@ LnQ_base_AKSHLF(5)_DEVmult_2003 0 0 FIX 0.5 LnQ_base_AKSHLF(5)_DEVmult_2004 0 0 FIX 0.5 #_Derived_Quantities #_Spawn_Bio -SSB_Virgin 968783 298889 -SSB_Initial 968783 298889 -SSB_1970 968783 298889 -SSB_1971 967358 298920 -SSB_1972 966046 298939 -SSB_1973 993904 313246 -SSB_1974 1.02375e+06 329033 -SSB_1975 1.048e+06 343508 -SSB_1976 1.05852e+06 353194 -SSB_1977 1.05234e+06 358067 -SSB_1978 1.04704e+06 360259 -SSB_1979 1.04449e+06 364004 -SSB_1980 1.0298e+06 365126 -SSB_1981 1.0081e+06 361440 -SSB_1982 988951 358665 -SSB_1983 958031 352593 -SSB_1984 931427 347105 -SSB_1985 903662 340899 -SSB_1986 868954 332109 -SSB_1987 835370 323310 -SSB_1988 811548 317775 -SSB_1989 795203 314623 -SSB_1990 779949 311758 -SSB_1991 764934 308760 -SSB_1992 750712 306151 -SSB_1993 741657 305474 -SSB_1994 729989 303549 -SSB_1995 714047 299850 -SSB_1996 691532 293461 -SSB_1997 667523 286360 -SSB_1998 649883 281648 -SSB_1999 628586 274664 -SSB_2000 602099 265763 -SSB_2001 574902 256288 -SSB_2002 564634 253657 -SSB_2003 571449 257847 -SSB_2004 581093 263584 -SSB_2005 588827 268541 -SSB_2006 588494 270131 -SSB_2007 581583 268805 -SSB_2008 567445 264050 -SSB_2009 546760 256433 -SSB_2010 520866 246643 -SSB_2011 512298 244127 -SSB_2012 501964 240742 -SSB_2013 495770 238963 -SSB_2014 485908 235308 -SSB_2015 471921 229760 -SSB_2016 469752 229583 -SSB_2017 464709 228151 -SSB_2018 462082 226192 -SSB_2019 463360 226004 -SSB_2020 464207 226089 -SSB_2021 463989 226177 -SSB_2022 462281 225854 -SSB_2023 459283 225082 -SSB_2024 455357 224026 -SSB_2025 450959 222934 -SSB_2026 446452 222009 +SSB_Virgin 968779 298618 +SSB_Initial 968779 298618 +SSB_1970 968779 298618 +SSB_1971 967355 298649 +SSB_1972 966043 298668 +SSB_1973 993900 312964 +SSB_1974 1.02375e+06 328739 +SSB_1975 1.048e+06 343203 +SSB_1976 1.05852e+06 352882 +SSB_1977 1.05234e+06 357750 +SSB_1978 1.04703e+06 359940 +SSB_1979 1.04448e+06 363681 +SSB_1980 1.02979e+06 364802 +SSB_1981 1.00809e+06 361120 +SSB_1982 988947 358347 +SSB_1983 958027 352280 +SSB_1984 931423 346798 +SSB_1985 903658 340598 +SSB_1986 868950 331815 +SSB_1987 835366 323024 +SSB_1988 811544 317495 +SSB_1989 795199 314345 +SSB_1990 779944 311483 +SSB_1991 764930 308488 +SSB_1992 750708 305881 +SSB_1993 741653 305206 +SSB_1994 729985 303282 +SSB_1995 714043 299587 +SSB_1996 691528 293204 +SSB_1997 667519 286110 +SSB_1998 649879 281402 +SSB_1999 628583 274424 +SSB_2000 602095 265531 +SSB_2001 574898 256064 +SSB_2002 564630 253436 +SSB_2003 571445 257622 +SSB_2004 581090 263354 +SSB_2005 588823 268307 +SSB_2006 588490 269895 +SSB_2007 581579 268570 +SSB_2008 567441 263820 +SSB_2009 546756 256210 +SSB_2010 520863 246428 +SSB_2011 512295 243914 +SSB_2012 501960 240533 +SSB_2013 495766 238756 +SSB_2014 485905 235103 +SSB_2015 471918 229561 +SSB_2016 469749 229383 +SSB_2017 464706 227953 +SSB_2018 462079 225997 +SSB_2019 463357 225810 +SSB_2020 464204 225899 +SSB_2021 463986 225993 +SSB_2022 462278 225676 +SSB_2023 459281 224911 +SSB_2024 455354 223862 +SSB_2025 450956 222778 +SSB_2026 446449 221859 #_Recruitment -Recr_Virgin 161895 43762.4 -Recr_Initial 161895 43762.4 -Recr_1970 495466 321105 -Recr_1971 202727 195669 -Recr_1972 169925 148031 -Recr_1973 147779 122154 -Recr_1974 141364 118893 -Recr_1975 207027 183181 -Recr_1976 351266 210362 -Recr_1977 112875 79143.3 -Recr_1978 40008 27513.4 -Recr_1979 291022 92212 -Recr_1980 79473.8 37164.6 -Recr_1981 178567 59866.9 -Recr_1982 216093 59817.3 -Recr_1983 62116.3 25162.2 -Recr_1984 197925 41189 -Recr_1985 325787 68775.8 -Recr_1986 243362 58484.3 -Recr_1987 144834 40181.6 -Recr_1988 142346 42640.8 -Recr_1989 179987 55738.8 -Recr_1990 227970 67934.9 -Recr_1991 100552 34704.8 -Recr_1992 84901.6 30430.1 -Recr_1993 56346.1 20999.4 -Recr_1994 105642 35357.2 -Recr_1995 186463 59529.4 -Recr_1996 17232.6 7667.7 -Recr_1997 24749.7 9141.81 -Recr_1998 64954.6 24425.8 -Recr_1999 290339 93687.5 -Recr_2000 273109 90515.2 -Recr_2001 118303 42154.2 -Recr_2002 90558 33883.9 -Recr_2003 57402 20589.7 -Recr_2004 73082.7 25462.3 -Recr_2005 41261.9 14487.9 -Recr_2006 32015.9 11263.6 -Recr_2007 28380.6 10241.1 -Recr_2008 285046 94867.4 -Recr_2009 31587.9 10876.8 -Recr_2010 103254 36055.9 -Recr_2011 33304.3 13215.5 -Recr_2012 33062 13343.7 -Recr_2013 214410 86811.5 -Recr_2014 37042.8 18930.7 -Recr_2015 137727 138042 -Recr_2016 137542 137887 -Recr_2017 137108 137497 -Recr_2018 136879 137254 -Recr_2019 136991 137325 -Recr_2020 137064 137354 -Recr_2021 137045 137293 -Recr_2022 136896 137108 -Recr_2023 136633 136814 -Recr_2024 136284 136441 -Recr_2025 135889 136026 -Recr_2026 135478 135602 +Recr_Virgin 161894 43721.9 +Recr_Initial 161894 43721.9 +Recr_1970 495463 321013 +Recr_1971 202728 195651 +Recr_1972 169925 148015 +Recr_1973 147778 122140 +Recr_1974 141365 118878 +Recr_1975 207026 183164 +Recr_1976 351264 210334 +Recr_1977 112875 79127.8 +Recr_1978 40007.6 27508.8 +Recr_1979 291022 92164.4 +Recr_1980 79473.3 37154.4 +Recr_1981 178566 59827.4 +Recr_1982 216093 59812.2 +Recr_1983 62116.2 25157.6 +Recr_1984 197925 41173.1 +Recr_1985 325787 68734.3 +Recr_1986 243361 58448.7 +Recr_1987 144834 40159.3 +Recr_1988 142346 42614 +Recr_1989 179987 55707.2 +Recr_1990 227969 67887.6 +Recr_1991 100552 34684.4 +Recr_1992 84901.4 30413.4 +Recr_1993 56346 20987.8 +Recr_1994 105642 35330.4 +Recr_1995 186462 59479.2 +Recr_1996 17232.5 7664.27 +Recr_1997 24749.7 9135.61 +Recr_1998 64954.3 24405.8 +Recr_1999 290338 93605.3 +Recr_2000 273108 90436.5 +Recr_2001 118303 42119.1 +Recr_2002 90557.5 33855 +Recr_2003 57401.7 20572.1 +Recr_2004 73082.4 25440.5 +Recr_2005 41261.7 14475.7 +Recr_2006 32015.8 11254.2 +Recr_2007 28380.5 10232.7 +Recr_2008 285045 94785.7 +Recr_2009 31587.8 10868.1 +Recr_2010 103253 36025.7 +Recr_2011 33304.1 13204.7 +Recr_2012 33061.9 13333.2 +Recr_2013 214409 86740.6 +Recr_2014 37042.6 18921 +Recr_2015 137727 138028 +Recr_2016 137542 137874 +Recr_2017 137107 137483 +Recr_2018 136878 137241 +Recr_2019 136990 137311 +Recr_2020 137064 137340 +Recr_2021 137045 137280 +Recr_2022 136896 137095 +Recr_2023 136633 136801 +Recr_2024 136284 136428 +Recr_2025 135888 136014 +Recr_2026 135477 135590 #_SPR Basis= (1-SPR)/(1-SPR_45%) -SPRratio_1970 0.138348 0.0391041 -SPRratio_1971 0.129014 0.0326297 -SPRratio_1972 0.188796 0.0489112 -SPRratio_1973 0.202468 0.0533301 -SPRratio_1974 0.283527 0.0697988 -SPRratio_1975 0.459814 0.11703 -SPRratio_1976 0.712225 0.177904 -SPRratio_1977 0.301266 0.0786086 -SPRratio_1978 0.446021 0.113401 -SPRratio_1979 0.737404 0.174185 -SPRratio_1980 0.362814 0.095613 -SPRratio_1981 0.44178 0.115803 -SPRratio_1982 1.10601 0.26661 -SPRratio_1983 0.925504 0.230877 -SPRratio_1984 0.970148 0.248263 -SPRratio_1985 0.918308 0.237984 -SPRratio_1986 0.867746 0.230397 -SPRratio_1987 0.82553 0.225408 -SPRratio_1988 0.719074 0.202298 -SPRratio_1989 0.743732 0.212323 -SPRratio_1990 0.677669 0.198842 -SPRratio_1991 0.645615 0.193566 -SPRratio_1992 0.666491 0.203862 -SPRratio_1993 0.615282 0.192197 -SPRratio_1994 0.555123 0.174336 -SPRratio_1995 0.578482 0.183399 -SPRratio_1996 0.630857 0.201615 -SPRratio_1997 0.567208 0.186217 -SPRratio_1998 0.353695 0.121852 -SPRratio_1999 0.561923 0.187886 -SPRratio_2000 0.52974 0.179083 -SPRratio_2001 0.473665 0.164032 -SPRratio_2002 0.277122 0.100082 -SPRratio_2003 0.372062 0.138849 -SPRratio_2004 0.408432 0.152525 -SPRratio_2005 0.419377 0.156601 -SPRratio_2006 0.429928 0.160634 -SPRratio_2007 0.400862 0.151325 -SPRratio_2008 0.479427 0.179146 -SPRratio_2009 0.572 0.210238 -SPRratio_2010 0.507013 0.189568 -SPRratio_2011 0.346371 0.134019 -SPRratio_2012 0.315825 0.124416 -SPRratio_2013 0.283631 0.11385 -SPRratio_2014 0.279328 0.112322 -SPRratio_2015 0.287873 0.124961 -SPRratio_2016 0.310024 0.132703 +SPRratio_1970 0.138349 0.0390769 +SPRratio_1971 0.129014 0.032606 +SPRratio_1972 0.188797 0.0488747 +SPRratio_1973 0.202469 0.0532925 +SPRratio_1974 0.283528 0.0697468 +SPRratio_1975 0.459815 0.116953 +SPRratio_1976 0.712228 0.177796 +SPRratio_1977 0.301267 0.0785501 +SPRratio_1978 0.446022 0.113318 +SPRratio_1979 0.737406 0.174053 +SPRratio_1980 0.362816 0.0955418 +SPRratio_1981 0.441782 0.115713 +SPRratio_1982 1.10601 0.266429 +SPRratio_1983 0.925508 0.230716 +SPRratio_1984 0.970152 0.248092 +SPRratio_1985 0.918312 0.237819 +SPRratio_1986 0.86775 0.230238 +SPRratio_1987 0.825534 0.22525 +SPRratio_1988 0.719078 0.202153 +SPRratio_1989 0.743736 0.212173 +SPRratio_1990 0.677673 0.198704 +SPRratio_1991 0.645618 0.193431 +SPRratio_1992 0.666495 0.20372 +SPRratio_1993 0.615285 0.192063 +SPRratio_1994 0.555126 0.174211 +SPRratio_1995 0.578485 0.183269 +SPRratio_1996 0.630861 0.201474 +SPRratio_1997 0.567211 0.186084 +SPRratio_1998 0.353698 0.121764 +SPRratio_1999 0.561927 0.187753 +SPRratio_2000 0.529743 0.178956 +SPRratio_2001 0.473668 0.163914 +SPRratio_2002 0.277124 0.100007 +SPRratio_2003 0.372064 0.13873 +SPRratio_2004 0.408434 0.152395 +SPRratio_2005 0.419379 0.156468 +SPRratio_2006 0.42993 0.160498 +SPRratio_2007 0.400864 0.151196 +SPRratio_2008 0.479429 0.178995 +SPRratio_2009 0.572003 0.210061 +SPRratio_2010 0.507015 0.189408 +SPRratio_2011 0.346373 0.133905 +SPRratio_2012 0.315827 0.124311 +SPRratio_2013 0.283633 0.113754 +SPRratio_2014 0.279329 0.112227 +SPRratio_2015 0.287875 0.124877 +SPRratio_2016 0.310026 0.132613 SPRratio_2017 0.928946 0.213393 SPRratio_2018 0.928946 0.219709 SPRratio_2019 0.928946 0.227187 @@ -437,304 +437,304 @@ SPRratio_2022 0.928946 0.255944 SPRratio_2023 0.928946 0.266083 SPRratio_2024 0.928946 0.274578 SPRratio_2025 0.928946 0.282909 -SPRratio_2026 0.928946 0.291121 +SPRratio_2026 0.928946 0.291122 #_F Basis= _abs_F;_with_F=Exploit(bio) -F_1970 0.0021687 0.000648138 -F_1971 0.00161141 0.000519009 -F_1972 0.00265826 0.000843899 -F_1973 0.002298 0.000735572 -F_1974 0.00319063 0.00107325 -F_1975 0.00550175 0.00190531 -F_1976 0.0102073 0.00356664 -F_1977 0.00320361 0.00109464 -F_1978 0.00436579 0.00151602 -F_1979 0.0100574 0.0035481 -F_1980 0.00330713 0.00117948 -F_1981 0.0046112 0.0016417 -F_1982 0.0113852 0.00490809 -F_1983 0.00702261 0.0026754 -F_1984 0.0090835 0.00383016 -F_1985 0.010756 0.00460808 -F_1986 0.009371 0.00389878 -F_1987 0.00819742 0.00332283 -F_1988 0.00712824 0.00286423 -F_1989 0.00742818 0.00307403 -F_1990 0.00719465 0.00299405 -F_1991 0.00608094 0.0024835 -F_1992 0.00602755 0.0024902 -F_1993 0.00503237 0.00208574 -F_1994 0.00499351 0.00208149 -F_1995 0.00615531 0.00260872 -F_1996 0.00500421 0.00212403 -F_1997 0.00482068 0.00206361 -F_1998 0.00299127 0.00128181 -F_1999 0.00697368 0.0031342 -F_2000 0.00687704 0.00310284 -F_2001 0.0051476 0.00230161 -F_2002 0.00319171 0.00141986 -F_2003 0.00390214 0.00176778 -F_2004 0.00409315 0.00186988 -F_2005 0.00408303 0.00186867 -F_2006 0.00405264 0.0018637 -F_2007 0.00355529 0.00164611 -F_2008 0.0067116 0.00327789 -F_2009 0.00544582 0.00257421 -F_2010 0.00611593 0.00294337 -F_2011 0.00474563 0.00226307 -F_2012 0.00364002 0.00173626 -F_2013 0.00406358 0.00196717 -F_2014 0.00312676 0.00151569 -F_2015 0.00458387 0.00222308 -F_2016 0.00525018 0.00256355 -F_2017 0.0148792 0.00170613 -F_2018 0.0160284 0.00192317 -F_2019 0.0162473 0.00234546 -F_2020 0.0160963 0.00271468 -F_2021 0.0160995 0.00304014 -F_2022 0.0160976 0.00334522 -F_2023 0.0162251 0.00364461 -F_2024 0.0163393 0.00392065 -F_2025 0.0163616 0.00416379 -F_2026 0.0162649 0.00437287 +F_1970 0.00216871 0.00064761 +F_1971 0.00161142 0.000518597 +F_1972 0.00265827 0.000843179 +F_1973 0.00229801 0.000734955 +F_1974 0.00319065 0.00107239 +F_1975 0.00550177 0.00190383 +F_1976 0.0102074 0.00356377 +F_1977 0.00320363 0.00109372 +F_1978 0.00436581 0.0015147 +F_1979 0.0100575 0.00354504 +F_1980 0.00330715 0.00117846 +F_1981 0.00461122 0.00164028 +F_1982 0.0113852 0.00490423 +F_1983 0.00702265 0.00267312 +F_1984 0.00908355 0.00382706 +F_1985 0.0107561 0.00460447 +F_1986 0.00937106 0.00389566 +F_1987 0.00819747 0.00332007 +F_1988 0.00712829 0.00286185 +F_1989 0.00742822 0.00307154 +F_1990 0.0071947 0.00299166 +F_1991 0.00608097 0.00248142 +F_1992 0.00602759 0.00248812 +F_1993 0.0050324 0.00208397 +F_1994 0.00499354 0.00207975 +F_1995 0.00615535 0.0026066 +F_1996 0.00500424 0.00212221 +F_1997 0.00482071 0.00206185 +F_1998 0.00299129 0.00128073 +F_1999 0.00697374 0.00313178 +F_2000 0.00687709 0.00310042 +F_2001 0.00514763 0.00229972 +F_2002 0.00319173 0.00141867 +F_2003 0.00390216 0.00176626 +F_2004 0.00409318 0.00186827 +F_2005 0.00408306 0.00186706 +F_2006 0.00405267 0.0018621 +F_2007 0.00355531 0.00164469 +F_2008 0.00671165 0.0032751 +F_2009 0.00544586 0.002572 +F_2010 0.00611597 0.00294086 +F_2011 0.00474567 0.00226113 +F_2012 0.00364004 0.00173477 +F_2013 0.00406361 0.00196551 +F_2014 0.00312678 0.0015144 +F_2015 0.0045839 0.00222118 +F_2016 0.00525022 0.00256136 +F_2017 0.0148792 0.00170523 +F_2018 0.0160284 0.0019221 +F_2019 0.0162474 0.00234456 +F_2020 0.0160964 0.00271388 +F_2021 0.0160996 0.00303939 +F_2022 0.0160977 0.00334449 +F_2023 0.0162251 0.0036439 +F_2024 0.0163394 0.00391997 +F_2025 0.0163617 0.00416314 +F_2026 0.0162649 0.00437224 #_Depletion Basis= 100%*Virgin_Biomass -Bratio_1971 0.99853 0.000496196 -Bratio_1972 0.997176 0.000934755 -Bratio_1973 1.02593 0.026842 -Bratio_1974 1.05674 0.0439468 -Bratio_1975 1.08177 0.0563233 -Bratio_1976 1.09263 0.0632055 -Bratio_1977 1.08625 0.0667197 -Bratio_1978 1.08077 0.0669738 -Bratio_1979 1.07814 0.0690123 -Bratio_1980 1.06298 0.0717176 -Bratio_1981 1.04058 0.0728957 -Bratio_1982 1.02082 0.0744257 -Bratio_1983 0.988902 0.0761523 -Bratio_1984 0.961441 0.0775612 -Bratio_1985 0.932781 0.0787532 -Bratio_1986 0.896955 0.0794747 -Bratio_1987 0.862289 0.0799975 -Bratio_1988 0.837699 0.0810143 -Bratio_1989 0.820827 0.0823324 -Bratio_1990 0.805081 0.0837002 -Bratio_1991 0.789583 0.0849415 -Bratio_1992 0.774902 0.086377 -Bratio_1993 0.765555 0.0882738 -Bratio_1994 0.753512 0.0897243 -Bratio_1995 0.737056 0.0906695 -Bratio_1996 0.713816 0.0908523 -Bratio_1997 0.689033 0.0907613 -Bratio_1998 0.670825 0.0911875 -Bratio_1999 0.648842 0.0904475 -Bratio_2000 0.6215 0.0893211 -Bratio_2001 0.593427 0.0878317 -Bratio_2002 0.582828 0.0881805 -Bratio_2003 0.589863 0.090323 -Bratio_2004 0.599818 0.0932045 -Bratio_2005 0.6078 0.0959479 -Bratio_2006 0.607457 0.0977142 -Bratio_2007 0.600324 0.0985012 -Bratio_2008 0.585729 0.0979762 -Bratio_2009 0.564378 0.0964947 -Bratio_2010 0.53765 0.0943523 -Bratio_2011 0.528806 0.094386 -Bratio_2012 0.518139 0.0940863 -Bratio_2013 0.511745 0.0941972 -Bratio_2014 0.501566 0.093514 -Bratio_2015 0.487128 0.0921409 -Bratio_2016 0.484889 0.0927048 -Bratio_2017 0.479683 0.092846 -Bratio_2018 0.476972 0.0921886 -Bratio_2019 0.478291 0.0935399 -Bratio_2020 0.479166 0.0971393 -Bratio_2021 0.47894 0.102277 -Bratio_2022 0.477177 0.1078 -Bratio_2023 0.474083 0.113125 -Bratio_2024 0.47003 0.118157 -Bratio_2025 0.46549 0.122996 -Bratio_2026 0.460838 0.12775 +Bratio_1971 0.99853 0.000495766 +Bratio_1972 0.997176 0.000933929 +Bratio_1973 1.02593 0.0268409 +Bratio_1974 1.05674 0.0439442 +Bratio_1975 1.08177 0.0563187 +Bratio_1976 1.09263 0.0631979 +Bratio_1977 1.08625 0.0667075 +Bratio_1978 1.08077 0.0669578 +Bratio_1979 1.07814 0.0689922 +Bratio_1980 1.06298 0.071692 +Bratio_1981 1.04058 0.0728671 +Bratio_1982 1.02082 0.0743939 +Bratio_1983 0.988901 0.0761169 +Bratio_1984 0.96144 0.0775229 +Bratio_1985 0.93278 0.0787124 +Bratio_1986 0.896954 0.0794316 +Bratio_1987 0.862288 0.0799524 +Bratio_1988 0.837698 0.0809673 +Bratio_1989 0.820826 0.0822834 +Bratio_1990 0.80508 0.0836493 +Bratio_1991 0.789582 0.0848891 +Bratio_1992 0.774901 0.0863228 +Bratio_1993 0.765554 0.0882178 +Bratio_1994 0.75351 0.0896667 +Bratio_1995 0.737054 0.0906108 +Bratio_1996 0.713814 0.0907929 +Bratio_1997 0.689031 0.0907014 +Bratio_1998 0.670823 0.0911268 +Bratio_1999 0.64884 0.090387 +Bratio_2000 0.621499 0.0892609 +Bratio_2001 0.593426 0.0877721 +Bratio_2002 0.582827 0.0881203 +Bratio_2003 0.589861 0.0902608 +Bratio_2004 0.599816 0.0931399 +Bratio_2005 0.607799 0.0958812 +Bratio_2006 0.607455 0.097646 +Bratio_2007 0.600322 0.0984324 +Bratio_2008 0.585728 0.0979076 +Bratio_2009 0.564377 0.096427 +Bratio_2010 0.537649 0.094286 +Bratio_2011 0.528805 0.0943194 +Bratio_2012 0.518137 0.0940198 +Bratio_2013 0.511743 0.0941306 +Bratio_2014 0.501564 0.0934479 +Bratio_2015 0.487127 0.0920758 +Bratio_2016 0.484887 0.0926393 +Bratio_2017 0.479682 0.0927804 +Bratio_2018 0.47697 0.0921248 +Bratio_2019 0.47829 0.0934795 +Bratio_2020 0.479164 0.0970848 +Bratio_2021 0.478939 0.10223 +Bratio_2022 0.477176 0.107759 +Bratio_2023 0.474082 0.11309 +Bratio_2024 0.470029 0.118128 +Bratio_2025 0.465489 0.122971 +Bratio_2026 0.460837 0.127729 #_Mgmt_Quantity -SSB_unfished 968783 299078 -Totbio_unfished 3.05392e+06 951583 -SmryBio_unfished 2.82023e+06 887474 -Recr_unfished 161895 43762.4 -SSB_Btgt 387513 119631 -SPR_Btgt 0.5 7.40247e-17 -annF_Btgt 0.0165986 0.00143217 -Dead_Catch_Btgt 19606.6 4909.43 -SSB_SPR 329386 101687 -annF_SPR 0.0191534 0.00165776 -Dead_Catch_SPR 19339.2 4833.35 -SSB_MSY 385471 120269 -SPR_MSY 0.498243 0.00158238 -annF_MSY 0.0166836 0.00150615 -Dead_Catch_MSY 19606.9 4909.18 -Ret_Catch_MSY 15070.3 3682.33 -B_MSY/SSB_unfished 0.397892 0.00189886 -ForeCatch_2015 6512 8.01779e-07 -ForeCatch_2016 7121 6.83906e-07 -ForeCatch_2017 21448.8 8530.18 -ForeCatch_2018 22238.4 8721.06 -ForeCatch_2019 22908.6 8827.38 -ForeCatch_2020 23108.4 8686.5 -ForeCatch_2021 22972.8 8389.82 -ForeCatch_2022 22782.8 8078.39 -ForeCatch_2023 22752 7862.86 -ForeCatch_2024 22690.5 7663.17 -ForeCatch_2025 22500.8 7435.72 -ForeCatch_2026 22157.1 7162.15 -OFLCatch_2015 22964.5 9199.48 -OFLCatch_2016 23174.3 9283.6 -OFLCatch_2017 23492.7 9343.03 -OFLCatch_2018 24357.5 9552.09 -OFLCatch_2019 25091.6 9668.54 -OFLCatch_2020 25310.4 9514.24 -OFLCatch_2021 25161.9 9189.29 -OFLCatch_2022 24953.8 8848.19 -OFLCatch_2023 24920.1 8612.12 -OFLCatch_2024 24852.7 8393.39 -OFLCatch_2025 24645 8144.27 -OFLCatch_2026 24268.4 7844.63 -ForeCatchret_2015 5367.96 612.529 -ForeCatchret_2016 5895.27 669.745 -ForeCatchret_2017 16381.5 7322.24 -ForeCatchret_2018 17225.4 7539.42 -ForeCatchret_2019 17955.8 7680.68 -ForeCatchret_2020 18177.8 7571.03 -ForeCatchret_2021 18049.6 7314.6 -ForeCatchret_2022 17867.3 7045.13 -ForeCatchret_2023 17847.4 6863.84 -ForeCatchret_2024 17799 6691.37 -ForeCatchret_2025 17624.6 6487.69 -ForeCatchret_2026 17296.8 6242.86 +SSB_unfished 968779 298807 +Totbio_unfished 3.05391e+06 950716 +SmryBio_unfished 2.82022e+06 886667 +Recr_unfished 161894 43721.9 +SSB_Btgt 387512 119523 +SPR_Btgt 0.5 3.90604e-17 +annF_Btgt 0.0165986 0.00143147 +Dead_Catch_Btgt 19606.5 4905.03 +SSB_SPR 329385 101594 +annF_SPR 0.0191534 0.00165695 +Dead_Catch_SPR 19339.1 4829.02 +SSB_MSY 385469 120160 +SPR_MSY 0.498243 0.00158177 +annF_MSY 0.0166836 0.00150541 +Dead_Catch_MSY 19606.9 4904.78 +Ret_Catch_MSY 15070.3 3679.15 +B_MSY/SSB_unfished 0.397892 0.00189813 +ForeCatch_2015 6512 8.01132e-07 +ForeCatch_2016 7121 6.83391e-07 +ForeCatch_2017 21448.7 8522.77 +ForeCatch_2018 22238.3 8713.47 +ForeCatch_2019 22908.5 8819.68 +ForeCatch_2020 23108.3 8678.9 +ForeCatch_2021 22972.7 8382.44 +ForeCatch_2022 22782.7 8071.27 +ForeCatch_2023 22751.9 7855.91 +ForeCatch_2024 22690.4 7656.38 +ForeCatch_2025 22500.8 7429.12 +ForeCatch_2026 22157 7155.77 +OFLCatch_2015 22964.4 9191.48 +OFLCatch_2016 23174.2 9275.54 +OFLCatch_2017 23492.5 9334.91 +OFLCatch_2018 24357.4 9543.78 +OFLCatch_2019 25091.5 9660.11 +OFLCatch_2020 25310.3 9505.92 +OFLCatch_2021 25161.8 9181.21 +OFLCatch_2022 24953.7 8840.38 +OFLCatch_2023 24920 8604.5 +OFLCatch_2024 24852.6 8385.96 +OFLCatch_2025 24644.9 8137.04 +OFLCatch_2026 24268.3 7837.65 +ForeCatchret_2015 5367.96 612.527 +ForeCatchret_2016 5895.27 669.742 +ForeCatchret_2017 16381.5 7316.8 +ForeCatchret_2018 17225.3 7533.78 +ForeCatchret_2019 17955.7 7674.91 +ForeCatchret_2020 18177.7 7565.35 +ForeCatchret_2021 18049.5 7309.14 +ForeCatchret_2022 17867.2 7039.93 +ForeCatchret_2023 17847.4 6858.82 +ForeCatchret_2024 17798.9 6686.52 +ForeCatchret_2025 17624.5 6483.02 +ForeCatchret_2026 17296.7 6238.41 #_Extra_stdev -ln(SPB)_1970 13.7838 0.30852 -ln(SPB)_1992 13.5288 0.407814 -ln(SPB)_2014 13.0938 0.484264 -SmryBio_Virgin 2.82023e+06 0.0 -SmryBio_Initial 2.82023e+06 0.0 -SmryBio_1970 2.82023e+06 0.0 -SmryBio_1971 2.81673e+06 0.0 -SmryBio_1972 2.81344e+06 0.0 -SmryBio_1973 2.80771e+06 0.0 -SmryBio_1974 3.0885e+06 0.0 -SmryBio_1975 3.13867e+06 0.0 -SmryBio_1976 3.13526e+06 0.0 -SmryBio_1977 3.08682e+06 0.0 -SmryBio_1978 3.032e+06 0.0 -SmryBio_1979 3.00548e+06 0.0 -SmryBio_1980 3.03994e+06 0.0 -SmryBio_1981 2.96518e+06 0.0 -SmryBio_1982 2.81847e+06 0.0 -SmryBio_1983 2.80441e+06 0.0 -SmryBio_1984 2.68812e+06 0.0 -SmryBio_1985 2.63974e+06 0.0 -SmryBio_1986 2.55619e+06 0.0 -SmryBio_1987 2.41829e+06 0.0 -SmryBio_1988 2.34234e+06 0.0 -SmryBio_1989 2.34938e+06 0.0 -SmryBio_1990 2.33624e+06 0.0 -SmryBio_1991 2.2794e+06 0.0 -SmryBio_1992 2.22587e+06 0.0 -SmryBio_1993 2.19368e+06 0.0 -SmryBio_1994 2.20205e+06 0.0 -SmryBio_1995 2.13981e+06 0.0 -SmryBio_1996 2.0618e+06 0.0 -SmryBio_1997 1.96434e+06 0.0 -SmryBio_1998 1.90272e+06 0.0 -SmryBio_1999 1.90494e+06 0.0 -SmryBio_2000 1.79952e+06 0.0 -SmryBio_2001 1.69506e+06 0.0 -SmryBio_2002 1.62525e+06 0.0 -SmryBio_2003 1.71485e+06 0.0 -SmryBio_2004 1.81748e+06 0.0 -SmryBio_2005 1.82171e+06 0.0 -SmryBio_2006 1.80397e+06 0.0 -SmryBio_2007 1.74965e+06 0.0 -SmryBio_2008 1.70042e+06 0.0 -SmryBio_2009 1.62452e+06 0.0 -SmryBio_2010 1.53832e+06 0.0 -SmryBio_2011 1.45097e+06 0.0 -SmryBio_2012 1.55309e+06 0.0 -SmryBio_2013 1.49351e+06 0.0 -SmryBio_2014 1.48047e+06 0.0 -SmryBio_2015 1.42063e+06 0.0 +ln(SPB)_1970 13.7838 0.308242 +ln(SPB)_1992 13.5288 0.407457 +ln(SPB)_2014 13.0938 0.483846 +SmryBio_Virgin 2.82022e+06 0.0 +SmryBio_Initial 2.82022e+06 0.0 +SmryBio_1970 2.82022e+06 0.0 +SmryBio_1971 2.81672e+06 0.0 +SmryBio_1972 2.81343e+06 0.0 +SmryBio_1973 2.8077e+06 0.0 +SmryBio_1974 3.08849e+06 0.0 +SmryBio_1975 3.13866e+06 0.0 +SmryBio_1976 3.13525e+06 0.0 +SmryBio_1977 3.08681e+06 0.0 +SmryBio_1978 3.03199e+06 0.0 +SmryBio_1979 3.00546e+06 0.0 +SmryBio_1980 3.03993e+06 0.0 +SmryBio_1981 2.96516e+06 0.0 +SmryBio_1982 2.81845e+06 0.0 +SmryBio_1983 2.80439e+06 0.0 +SmryBio_1984 2.68811e+06 0.0 +SmryBio_1985 2.63973e+06 0.0 +SmryBio_1986 2.55618e+06 0.0 +SmryBio_1987 2.41828e+06 0.0 +SmryBio_1988 2.34233e+06 0.0 +SmryBio_1989 2.34937e+06 0.0 +SmryBio_1990 2.33623e+06 0.0 +SmryBio_1991 2.27939e+06 0.0 +SmryBio_1992 2.22586e+06 0.0 +SmryBio_1993 2.19367e+06 0.0 +SmryBio_1994 2.20204e+06 0.0 +SmryBio_1995 2.13979e+06 0.0 +SmryBio_1996 2.06179e+06 0.0 +SmryBio_1997 1.96433e+06 0.0 +SmryBio_1998 1.90271e+06 0.0 +SmryBio_1999 1.90493e+06 0.0 +SmryBio_2000 1.79951e+06 0.0 +SmryBio_2001 1.69505e+06 0.0 +SmryBio_2002 1.62524e+06 0.0 +SmryBio_2003 1.71484e+06 0.0 +SmryBio_2004 1.81747e+06 0.0 +SmryBio_2005 1.8217e+06 0.0 +SmryBio_2006 1.80396e+06 0.0 +SmryBio_2007 1.74964e+06 0.0 +SmryBio_2008 1.7004e+06 0.0 +SmryBio_2009 1.62451e+06 0.0 +SmryBio_2010 1.53831e+06 0.0 +SmryBio_2011 1.45096e+06 0.0 +SmryBio_2012 1.55308e+06 0.0 +SmryBio_2013 1.4935e+06 0.0 +SmryBio_2014 1.48046e+06 0.0 +SmryBio_2015 1.42062e+06 0.0 SmryBio_2016 1.35633e+06 0.0 -SmryBio_2017 1.44153e+06 0.0 -SmryBio_2018 1.38744e+06 0.0 -SmryBio_2019 1.40999e+06 0.0 -SmryBio_2020 1.43563e+06 0.0 -SmryBio_2021 1.42692e+06 0.0 -SmryBio_2022 1.41529e+06 0.0 -SmryBio_2023 1.40228e+06 0.0 +SmryBio_2017 1.44152e+06 0.0 +SmryBio_2018 1.38743e+06 0.0 +SmryBio_2019 1.40998e+06 0.0 +SmryBio_2020 1.43562e+06 0.0 +SmryBio_2021 1.42691e+06 0.0 +SmryBio_2022 1.41528e+06 0.0 +SmryBio_2023 1.40227e+06 0.0 SmryBio_2024 1.3887e+06 0.0 -SmryBio_2025 1.37522e+06 0.0 -SmryBio_2026 1.36227e+06 0.0 +SmryBio_2025 1.37521e+06 0.0 +SmryBio_2026 1.36226e+06 0.0 #_survey_stdev 0 #_Biomass -TotBio_Virgin 3.05392e+06 0.0 -TotBio_Initial 3.05392e+06 0.0 -TotBio_1970 3.05408e+06 0.0 -TotBio_1971 3.11122e+06 0.0 -TotBio_1972 3.20284e+06 0.0 -TotBio_1973 3.28512e+06 0.0 -TotBio_1974 3.33677e+06 0.0 -TotBio_1975 3.34799e+06 0.0 -TotBio_1976 3.33074e+06 0.0 -TotBio_1977 3.30959e+06 0.0 -TotBio_1978 3.29387e+06 0.0 -TotBio_1979 3.24037e+06 0.0 -TotBio_1980 3.16882e+06 0.0 -TotBio_1981 3.09955e+06 0.0 -TotBio_1982 3.02811e+06 0.0 -TotBio_1983 2.94384e+06 0.0 -TotBio_1984 2.84934e+06 0.0 -TotBio_1985 2.74925e+06 0.0 -TotBio_1986 2.66857e+06 0.0 -TotBio_1987 2.6127e+06 0.0 -TotBio_1988 2.56545e+06 0.0 -TotBio_1989 2.51869e+06 0.0 -TotBio_1990 2.47256e+06 0.0 -TotBio_1991 2.43885e+06 0.0 -TotBio_1992 2.40365e+06 0.0 -TotBio_1993 2.35624e+06 0.0 -TotBio_1994 2.29183e+06 0.0 -TotBio_1995 2.21938e+06 0.0 -TotBio_1996 2.15831e+06 0.0 -TotBio_1997 2.09334e+06 0.0 -TotBio_1998 2.01551e+06 0.0 -TotBio_1999 1.93444e+06 0.0 -TotBio_2000 1.88413e+06 0.0 -TotBio_2001 1.88493e+06 0.0 -TotBio_2002 1.91003e+06 0.0 -TotBio_2003 1.93465e+06 0.0 -TotBio_2004 1.93719e+06 0.0 -TotBio_2005 1.91776e+06 0.0 -TotBio_2006 1.87667e+06 0.0 -TotBio_2007 1.81673e+06 0.0 -TotBio_2008 1.74344e+06 0.0 -TotBio_2009 1.70057e+06 0.0 -TotBio_2010 1.67064e+06 0.0 -TotBio_2011 1.64699e+06 0.0 -TotBio_2012 1.61665e+06 0.0 -TotBio_2013 1.57488e+06 0.0 -TotBio_2014 1.55492e+06 0.0 -TotBio_2015 1.54295e+06 0.0 -TotBio_2016 1.54116e+06 0.0 -TotBio_2017 1.55249e+06 0.0 -TotBio_2018 1.55744e+06 0.0 -TotBio_2019 1.55891e+06 0.0 -TotBio_2020 1.5547e+06 0.0 -TotBio_2021 1.54593e+06 0.0 -TotBio_2022 1.53437e+06 0.0 -TotBio_2023 1.52136e+06 0.0 -TotBio_2024 1.50771e+06 0.0 -TotBio_2025 1.49403e+06 0.0 -TotBio_2026 1.48081e+06 0.0 +TotBio_Virgin 3.05391e+06 0.0 +TotBio_Initial 3.05391e+06 0.0 +TotBio_1970 3.05407e+06 0.0 +TotBio_1971 3.11121e+06 0.0 +TotBio_1972 3.20282e+06 0.0 +TotBio_1973 3.28511e+06 0.0 +TotBio_1974 3.33675e+06 0.0 +TotBio_1975 3.34798e+06 0.0 +TotBio_1976 3.33073e+06 0.0 +TotBio_1977 3.30958e+06 0.0 +TotBio_1978 3.29386e+06 0.0 +TotBio_1979 3.24036e+06 0.0 +TotBio_1980 3.1688e+06 0.0 +TotBio_1981 3.09953e+06 0.0 +TotBio_1982 3.0281e+06 0.0 +TotBio_1983 2.94383e+06 0.0 +TotBio_1984 2.84933e+06 0.0 +TotBio_1985 2.74924e+06 0.0 +TotBio_1986 2.66855e+06 0.0 +TotBio_1987 2.61269e+06 0.0 +TotBio_1988 2.56544e+06 0.0 +TotBio_1989 2.51868e+06 0.0 +TotBio_1990 2.47255e+06 0.0 +TotBio_1991 2.43884e+06 0.0 +TotBio_1992 2.40364e+06 0.0 +TotBio_1993 2.35622e+06 0.0 +TotBio_1994 2.29182e+06 0.0 +TotBio_1995 2.21937e+06 0.0 +TotBio_1996 2.1583e+06 0.0 +TotBio_1997 2.09333e+06 0.0 +TotBio_1998 2.01549e+06 0.0 +TotBio_1999 1.93443e+06 0.0 +TotBio_2000 1.88412e+06 0.0 +TotBio_2001 1.88492e+06 0.0 +TotBio_2002 1.91002e+06 0.0 +TotBio_2003 1.93464e+06 0.0 +TotBio_2004 1.93718e+06 0.0 +TotBio_2005 1.91775e+06 0.0 +TotBio_2006 1.87666e+06 0.0 +TotBio_2007 1.81672e+06 0.0 +TotBio_2008 1.74343e+06 0.0 +TotBio_2009 1.70055e+06 0.0 +TotBio_2010 1.67063e+06 0.0 +TotBio_2011 1.64698e+06 0.0 +TotBio_2012 1.61664e+06 0.0 +TotBio_2013 1.57487e+06 0.0 +TotBio_2014 1.5549e+06 0.0 +TotBio_2015 1.54294e+06 0.0 +TotBio_2016 1.54115e+06 0.0 +TotBio_2017 1.55248e+06 0.0 +TotBio_2018 1.55743e+06 0.0 +TotBio_2019 1.55889e+06 0.0 +TotBio_2020 1.55469e+06 0.0 +TotBio_2021 1.54592e+06 0.0 +TotBio_2022 1.53436e+06 0.0 +TotBio_2023 1.52135e+06 0.0 +TotBio_2024 1.5077e+06 0.0 +TotBio_2025 1.49402e+06 0.0 +TotBio_2026 1.4808e+06 0.0 TotCatch_Virgin 0 0.0 TotCatch_Initial 0 0.0 TotCatch_1970 6640.47 0.0 -TotCatch_1971 4956.5 0.0 +TotCatch_1971 4956.51 0.0 TotCatch_1972 8387.48 0.0 TotCatch_1973 6863.67 0.0 TotCatch_1974 11333.7 0.0 @@ -745,15 +745,15 @@ TotCatch_1978 15498.4 0.0 TotCatch_1979 34905.3 0.0 TotCatch_1980 11390.4 0.0 TotCatch_1981 15360.4 0.0 -TotCatch_1982 38335.4 0.0 +TotCatch_1982 38335.5 0.0 TotCatch_1983 24475.3 0.0 TotCatch_1984 28826.6 0.0 TotCatch_1985 33056.5 0.0 TotCatch_1986 28483.4 0.0 TotCatch_1987 24075.8 0.0 TotCatch_1988 20210.8 0.0 -TotCatch_1989 20798.3 0.0 -TotCatch_1990 19833.5 0.0 +TotCatch_1989 20798.4 0.0 +TotCatch_1990 19833.6 0.0 TotCatch_1991 16950.1 0.0 TotCatch_1992 16318 0.0 TotCatch_1993 13419.6 0.0 @@ -766,9 +766,9 @@ TotCatch_1999 14301.2 0.0 TotCatch_2000 13578 0.0 TotCatch_2001 9939.65 0.0 TotCatch_2002 5814.5 0.0 -TotCatch_2003 7429.83 0.0 +TotCatch_2003 7429.84 0.0 TotCatch_2004 8178.12 0.0 -TotCatch_2005 8140.1 0.0 +TotCatch_2005 8140.11 0.0 TotCatch_2006 8004.45 0.0 TotCatch_2007 6840.34 0.0 TotCatch_2008 12256.3 0.0 @@ -780,13 +780,13 @@ TotCatch_2013 6248.17 0.0 TotCatch_2014 4849.04 0.0 TotCatch_2015 6512 0.0 TotCatch_2016 7121 0.0 -TotCatch_2017 21448.8 0.0 -TotCatch_2018 22238.4 0.0 -TotCatch_2019 22908.6 0.0 -TotCatch_2020 23108.4 0.0 -TotCatch_2021 22972.8 0.0 -TotCatch_2022 22782.8 0.0 -TotCatch_2023 22752 0.0 -TotCatch_2024 22690.5 0.0 +TotCatch_2017 21448.7 0.0 +TotCatch_2018 22238.3 0.0 +TotCatch_2019 22908.5 0.0 +TotCatch_2020 23108.3 0.0 +TotCatch_2021 22972.7 0.0 +TotCatch_2022 22782.7 0.0 +TotCatch_2023 22751.9 0.0 +TotCatch_2024 22690.4 0.0 TotCatch_2025 22500.8 0.0 -TotCatch_2026 22157.1 0.0 +TotCatch_2026 22157 0.0 diff --git a/models/Sablefish2015/starter.ss b/models/Sablefish2015/starter.ss index ebdcb28..b964c98 100644 --- a/models/Sablefish2015/starter.ss +++ b/models/Sablefish2015/starter.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -12,9 +12,9 @@ 2015_data.ss 2015_control.ss 0 # 0=use init values in control file; 1=use ss.par -1 # run display detail (0,1,2) +1 # run display detail (0 = minimal; 1=one line per iter; 2=each logL) 1 # detailed output (0=minimal for data-limited, 1=high (w/ wtatage.ss_new), 2=brief, 3=custom) -# custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end +#COND: custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end 0 # write 1st iteration details to echoinput.sso file (0,1) 0 # write parm values to ParmTrace.sso (0=no,1=good,active; 2=good,all; 3=every_iter,all_parms; 4=every,active) 0 # write to cumreport.sso (0=no,1=like×eries; 2=add survey fits) @@ -30,7 +30,7 @@ -1 # min yr for sdreport outputs (-1 for styr); #_1968 2026 # max yr for sdreport outputs (-1 for endyr+1; -2 for endyr+Nforecastyrs); #_2026 0 # N individual STD years -#vector of year values +#COND: vector of year values if N>0 1e-05 # final convergence criteria (e.g. 1.0e-04) 0 # retrospective year relative to end year (e.g. -4) @@ -38,10 +38,10 @@ 1 # Depletion basis: denom is: 0=skip; 1=X*SPBvirgin; 2=X*SPBmsy; 3=X*SPB_styr; 4=X*SPB_endyr; 5=X*dyn_Bzero; values>=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) 1 # Fraction (X) for Depletion denominator (e.g. 0.4) 1 # SPR_report_basis: 0=skip; 1=(1-SPR)/(1-SPR_tgt); 2=(1-SPR)/(1-SPR_MSY); 3=(1-SPR)/(1-SPR_Btarget); 4=rawSPR -1 # F_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=true F for range of ages; 5=unweighted avg. F for range of ages -#COND 10 15 #_min and max age over which average F will be calculated with F_reporting=4 or 5 -0 # F_std_basis: 0=raw_annual_F; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual_F; values >=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) +1 # F_std_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=mean F for range of ages (numbers weighted); 5=unweighted mean F for range of ages +#COND 10 15 #_min and max age over which mean F will be calculated with F_reporting=4 or 5 +0 # F_std_scaling: 0=no scaling; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual F_std, Fmsy means F_std@msy; values >=11 invoke N multiyr (up to 9!) using 10's digit; >100 invokes log(ratio) 0 # MCMC output detail: integer part (0=default; 1=adds obj func components; 2= +write_report_for_each_mceval); and decimal part (added to SR_LN(R0) on first call to mcmc) -0 # ALK tolerance ***disabled in code (example 0.0001) --1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1676418023 +0 # ALK tolerance ***disabled in code +-1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1698771629 3.30 # check value for end of file and for version control diff --git a/models/Sablefish2015/warning.sso b/models/Sablefish2015/warning.sso index af8ab95..82a3c61 100644 --- a/models/Sablefish2015/warning.sso +++ b/models/Sablefish2015/warning.sso @@ -6,78 +6,79 @@ Note 2 Information: Max harvest rate typically is >1.0 for F_method 2, 3 or 4 0. Warning 4 : Setting in starter does not request all priors, and 9 parameters have priors and are not estimated, so their prior not included in obj_fun. Warning 5 Adjustment: Adjusted selparm out of base parm bounds. Phase: 1; Inter: 1; fleet: 2; base_parm#: 9; y: 1970; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) Warning 6 Adjustment: Adjusted selparm out of base parm bounds. Phase: 1; Inter: 1; fleet: 3; base_parm#: 17; y: 1970; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 7 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 528; fleet: 2; base_parm#: 9; y: 1970; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 8 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 528; fleet: 3; base_parm#: 17; y: 1970; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 9 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 528; fleet: 2; base_parm#: 9; y: 1971; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 10 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 528; fleet: 3; base_parm#: 17; y: 1971; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 11 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 528; fleet: 2; base_parm#: 9; y: 1972; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 12 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 528; fleet: 3; base_parm#: 17; y: 1972; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 13 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 528; fleet: 2; base_parm#: 9; y: 1973; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 14 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 528; fleet: 3; base_parm#: 17; y: 1973; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 15 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 528; fleet: 2; base_parm#: 9; y: 1974; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 16 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 528; fleet: 3; base_parm#: 17; y: 1974; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 17 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 528; fleet: 2; base_parm#: 9; y: 1975; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 18 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 528; fleet: 3; base_parm#: 17; y: 1975; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 19 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 528; fleet: 2; base_parm#: 9; y: 1976; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 20 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 528; fleet: 3; base_parm#: 17; y: 1976; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 21 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 528; fleet: 2; base_parm#: 9; y: 1977; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 22 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 528; fleet: 3; base_parm#: 17; y: 1977; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 23 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 528; fleet: 2; base_parm#: 9; y: 1978; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 24 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 528; fleet: 3; base_parm#: 17; y: 1978; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 25 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 528; fleet: 2; base_parm#: 9; y: 1979; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 26 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 528; fleet: 3; base_parm#: 17; y: 1979; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 27 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 528; fleet: 2; base_parm#: 9; y: 1980; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 28 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 528; fleet: 3; base_parm#: 17; y: 1980; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 29 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 528; fleet: 2; base_parm#: 9; y: 1981; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 30 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 528; fleet: 3; base_parm#: 17; y: 1981; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 31 : Final gradient: 0.00462808 is larger than final_conv: 1e-05 -Warning 32 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 2; base_parm#: 9; y: 1970; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 33 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 3; base_parm#: 17; y: 1970; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 34 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 2; base_parm#: 9; y: 1971; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 35 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 3; base_parm#: 17; y: 1971; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 36 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 2; base_parm#: 9; y: 1972; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 37 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 3; base_parm#: 17; y: 1972; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 38 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 2; base_parm#: 9; y: 1973; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 39 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 3; base_parm#: 17; y: 1973; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 40 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 2; base_parm#: 9; y: 1974; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 41 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 3; base_parm#: 17; y: 1974; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 42 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 2; base_parm#: 9; y: 1975; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 43 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 3; base_parm#: 17; y: 1975; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 44 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 2; base_parm#: 9; y: 1976; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 45 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 3; base_parm#: 17; y: 1976; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 46 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 2; base_parm#: 9; y: 1977; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 47 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 3; base_parm#: 17; y: 1977; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 48 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 2; base_parm#: 9; y: 1978; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 49 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 3; base_parm#: 17; y: 1978; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 50 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 2; base_parm#: 9; y: 1979; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 51 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 3; base_parm#: 17; y: 1979; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 52 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 2; base_parm#: 9; y: 1980; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 53 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 3; base_parm#: 17; y: 1980; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 54 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 2; base_parm#: 9; y: 1981; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 55 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 3; base_parm#: 17; y: 1981; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 56 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 2; base_parm#: 9; y: 1970; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 57 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 3; base_parm#: 17; y: 1970; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 58 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 2; base_parm#: 9; y: 1971; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 59 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 3; base_parm#: 17; y: 1971; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 60 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 2; base_parm#: 9; y: 1972; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 61 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 3; base_parm#: 17; y: 1972; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 62 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 2; base_parm#: 9; y: 1973; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 63 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 3; base_parm#: 17; y: 1973; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 64 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 2; base_parm#: 9; y: 1974; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 65 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 3; base_parm#: 17; y: 1974; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 66 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 2; base_parm#: 9; y: 1975; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 67 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 3; base_parm#: 17; y: 1975; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 68 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 2; base_parm#: 9; y: 1976; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 69 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 3; base_parm#: 17; y: 1976; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 70 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 2; base_parm#: 9; y: 1977; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 71 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 3; base_parm#: 17; y: 1977; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 72 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 2; base_parm#: 9; y: 1978; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 73 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 3; base_parm#: 17; y: 1978; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 74 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 2; base_parm#: 9; y: 1979; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 75 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 3; base_parm#: 17; y: 1979; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 76 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 2; base_parm#: 9; y: 1980; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 77 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 3; base_parm#: 17; y: 1980; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 78 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 2; base_parm#: 9; y: 1981; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 79 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1010; fleet: 3; base_parm#: 17; y: 1981; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Note 3 Information: N parameters that are on or within 1% of min-max bound: 6; check results, variance may be suspect - 79 warnings and 3 notes +Warning 7 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 2; base_parm#: 9; y: 1970; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 8 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 3; base_parm#: 17; y: 1970; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 9 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 2; base_parm#: 9; y: 1971; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 10 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 3; base_parm#: 17; y: 1971; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 11 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 2; base_parm#: 9; y: 1972; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 12 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 3; base_parm#: 17; y: 1972; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 13 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 2; base_parm#: 9; y: 1973; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 14 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 3; base_parm#: 17; y: 1973; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 15 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 2; base_parm#: 9; y: 1974; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 16 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 3; base_parm#: 17; y: 1974; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 17 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 2; base_parm#: 9; y: 1975; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 18 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 3; base_parm#: 17; y: 1975; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 19 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 2; base_parm#: 9; y: 1976; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 20 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 3; base_parm#: 17; y: 1976; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 21 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 2; base_parm#: 9; y: 1977; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 22 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 3; base_parm#: 17; y: 1977; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 23 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 2; base_parm#: 9; y: 1978; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 24 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 3; base_parm#: 17; y: 1978; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 25 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 2; base_parm#: 9; y: 1979; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 26 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 3; base_parm#: 17; y: 1979; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 27 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 2; base_parm#: 9; y: 1980; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 28 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 3; base_parm#: 17; y: 1980; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 29 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 2; base_parm#: 9; y: 1981; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 30 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 3; base_parm#: 17; y: 1981; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 31 : Final gradient: 0.00075884 is larger than final_conv: 1e-05 +Warning 32 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1970; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 33 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1970; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 34 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1971; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 35 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1971; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 36 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1972; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 37 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1972; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 38 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1973; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 39 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1973; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 40 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1974; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 41 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1974; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 42 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1975; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 43 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1975; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 44 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1976; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 45 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1976; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 46 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1977; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 47 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1977; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 48 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1978; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 49 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1978; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 50 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1979; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 51 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1979; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 52 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1980; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 53 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1980; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 54 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1981; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 55 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1981; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Note 3 Information: A revised protocol for the Fcast_yr specification is available and recommended. +Warning 56 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1970; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 57 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1970; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 58 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1971; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 59 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1971; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 60 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1972; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 61 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1972; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 62 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1973; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 63 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1973; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 64 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1974; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 65 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1974; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 66 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1975; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 67 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1975; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 68 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1976; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 69 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1976; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 70 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1977; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 71 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1977; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 72 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1978; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 73 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1978; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 74 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1979; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 75 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1979; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 76 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1980; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 77 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1980; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 78 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1981; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 79 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1981; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Note 4 Information: N parameters that are on or within 1% of min-max bound: 6; check results, variance may be suspect + 79 warnings and 4 notes diff --git a/models/Simple/control.ss b/models/Simple/control.ss index c15d18d..7f4ad79 100644 --- a/models/Simple/control.ss +++ b/models/Simple/control.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -12,6 +12,7 @@ 1 #_N_Growth_Patterns (Growth Patterns, Morphs, Bio Patterns, GP are terms used interchangeably in SS3) 1 #_N_platoons_Within_GrowthPattern #_Cond 1 #_Platoon_within/between_stdev_ratio (no read if N_platoons=1) +#_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # 2 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) @@ -52,8 +53,8 @@ #_no additional input for selected M option; read 1P per morph # 1 # GrowthModel: 1=vonBert with L1&L2; 2=Richards with L1&L2; 3=age_specific_K_incr; 4=age_specific_K_decr; 5=age_specific_K_each; 6=NA; 7=NA; 8=growth cessation -0 #_Age(post-settlement)_for_L1;linear growth below this -25 #_Growth_Age_for_L2 (999 to use as Linf) +0 #_Age(post-settlement) for L1 (aka Amin); first growth parameter is size at this age; linear growth below this +25 #_Age(post-settlement) for L2 (aka Amax); 999 to treat as Linf -999 #_exponential decay for growth above maxage (value should approx initial Z; -999 replicates 3.24; -998 to not allow growth above maxage) 0 #_placeholder for future growth feature # @@ -104,6 +105,7 @@ # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement +# Platoon StDev Ratio # Age Error from parameters # catch multiplier # fraction female, by GP @@ -128,7 +130,7 @@ 0 0 0 0 0 0 -99 0 0 0 0 0 0 0 # SR_autocorr #_no timevary SR parameters 1 #do_recdev: 0=none; 1=devvector (R=F(SSB)+dev); 2=deviations (R=F(SSB)+dev); 3=deviations (R=R0*dev; dev2=R-f(SSB)); 4=like 3 with sum(dev2) adding penalty -1971 # first year of main recr_devs; early devs can preceed this era +1971 # first year of main recr_devs; early devs can precede this era 2001 # last year of main recr_devs; forecast devs start in following year 2 #_recdev phase 1 # (0/1) to read 13 advanced options @@ -197,7 +199,7 @@ #Pattern:_11; parm=2; selex=1.0 for specified min-max population length bin range #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_6; parm=2+special; non-parm len selex -#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (average over bin range) +#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (mean over bin range) #Pattern:_8; parm=8; double_logistic with smooth transitions and constant above Linf option #Pattern:_9; parm=6; simple 4-parm double logistic with starting length; parm 5 is first length; parm 6=1 does desc as offset #Pattern:_21; parm=2+special; non-parm len selex, read as pairs of size, then selex @@ -207,7 +209,7 @@ #Pattern:_2; parm=6; double_normal with sel(minL) and sel(maxL), using joiners, back compatibile version of 24 with 3.30.18 and older #Pattern:_25; parm=3; exponential-logistic in length #Pattern:_27; parm=special+3; cubic spline in length; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (mean over bin range) #_discard_options:_0=none;_1=define_retention;_2=retention&mortality;_3=all_discarded_dead;_4=define_dome-shaped_retention #_Pattern Discard Male Special 1 0 0 0 # 1 FISHERY @@ -224,13 +226,13 @@ #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_16; parm=2; Coleraine - Gaussian #Pattern:_17; parm=nages+1; empirical as random walk N parameters to read can be overridden by setting special to non-zero -#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (average over bin range) +#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (mean over bin range) #Pattern:_18; parm=8; double logistic - smooth transition #Pattern:_19; parm=6; simple 4-parm double logistic with starting age #Pattern:_20; parm=6; double_normal,using joiners #Pattern:_26; parm=3; exponential-logistic in age #Pattern:_27; parm=3+special; cubic spline in age; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (mean over bin range) #Age patterns entered with value >100 create Min_selage from first digit and pattern from remainder #_Pattern Discard Male Special 11 0 0 0 # 1 FISHERY @@ -257,8 +259,12 @@ #_No_Dirichlet parameters #_no timevary selex parameters # -0 # use 2D_AR1 selectivity(0/1) +0 # use 2D_AR1 selectivity? (0/1) #_no 2D_AR1 selex offset used +#_specs: fleet, ymin, ymax, amin, amax, sigma_amax, use_rho, len1/age2, devphase, before_range, after_range +#_sigma_amax>amin means create sigma parm for each bin from min to sigma_amax; sigma_amax<0 means just one sigma parm is read and used for all bins +#_needed parameters follow each fleet's specifications +# -9999 0 0 0 0 0 0 0 0 0 0 # terminator # # Tag loss and Tag reporting parameters go next 0 # TG_custom: 0=no read and autogen if tag data exist; 1=read diff --git a/models/Simple/data.ss b/models/Simple/data.ss index 42a7b02..898cb4f 100644 --- a/models/Simple/data.ss +++ b/models/Simple/data.ss @@ -1,21 +1,21 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov #_User_info_available_at:https://vlab.noaa.gov/group/stock-synthesis #_Source_code_at:_https://github.com/nmfs-stock-synthesis/stock-synthesis -#_Start_time: Tue Feb 14 23:41:06 2023 +#_Start_time: Tue Oct 31 17:01:22 2023 #_echo_input_data #C data file for simple example -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 1971 #_StartYr 2001 #_EndYr 1 #_Nseas 12 #_months/season 2 #_Nsubseasons (even number, minimum is 2) 1 #_spawn_month -2 #_Ngenders: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) +2 #_Nsexes: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) 40 #_Nages=accumulator age, first age is always age 0 1 #_Nareas 3 #_Nfleets (including surveys) @@ -129,7 +129,7 @@ 1 # use length composition data (0/1/2) where 2 invokes new comp_control format #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie @@ -196,7 +196,7 @@ 0.5 0.65 0.67 0.7 0.73 0.76 0.8 0.84 0.88 0.92 0.97 1.03 1.09 1.16 1.23 1.32 1.41 1.51 1.62 1.75 1.89 2.05 2.23 2.45 2.71 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie diff --git a/models/Simple/forecast.ss b/models/Simple/forecast.ss index 92f852f..09380fc 100644 --- a/models/Simple/forecast.ss +++ b/models/Simple/forecast.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #C generic forecast file # for all year entries except rebuilder; enter either: actual year, -999 for styr, 0 for endyr, neg number for rel. endyr 1 # Benchmarks: 0=skip; 1=calc F_spr,F_btgt,F_msy; 2=calc F_spr,F0.1,F_msy; 3=add F_Blimit; @@ -16,27 +16,47 @@ # where none and simple require no input after this line; simple sets forecast F same as end year F 10 # N forecast years 0.2 # Fmult (only used for Do_Forecast==5) such that apical_F(f)=Fmult*relF(f) -#_Fcast_years: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) +#_Fcast_years for averaging: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) 0 0 -10 0 -999 0 # 2001 2001 1991 2001 1971 2001 -0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from annual time-vary parms) +0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from time-vary parms). NOTE: logic reverses in new format +# A revised protocol for the Fcast_yr specification is available and recommended. Template is below. +# +#-12345 # code to invoke new format for expanded fcast year controls +# biology and selectivity vectors are updated annually in the forecast according to timevary parameters, so check end year of blocks and dev vectors +# input in this section directs creation of means over historical years to override any time_vary changes +# Factors implemented so far: 1=M, 4=recr_dist, 5=migration, 10=selectivity, 11=rel_F, 12=recruitment +# rel_F and Recruitment also have additional controls later in forecast.ss +# input as list: Factor, method (0, 1), st_yr, end_yr +# Terminate with -9999 for Factor +# st_yr and end_yr input can be actual year; <=0 sets rel. to timeseries endyr; Except -999 for st_yr sets to first year if time series +# Method = 0 (or omitted) continue using time_vary parms; 1 use mean of derived factor over specified year range +# Factor method st_yr end_yr +# 10 1 0 0 # selectivity; use: 10 1 0 0 +# 11 1 -10 0 # rel_F; use: 11 1 -10 0 +# 12 1 -999 0 # recruitment; use: 12 1 -999 0 +#-9999 0 0 0 +# 1 # Control rule method (0: none; 1: ramp does catch=f(SSB), buffer on F; 2: ramp does F=f(SSB), buffer on F; 3: ramp does catch=f(SSB), buffer on catch; 4: ramp does F=f(SSB), buffer on catch) # values for top, bottom and buffer exist, but not used when Policy=0 0.4 # Control rule inflection for constant F (as frac of Bzero, e.g. 0.40); must be > control rule cutoff, or set to -1 to use Bmsy/SSB_unf 0.1 # Control rule cutoff for no F (as frac of Bzero, e.g. 0.10) 0.75 # Buffer: enter Control rule target as fraction of Flimit (e.g. 0.75), negative value invokes list of [year, scalar] with filling from year to YrMax +# 3 #_N forecast loops (1=OFL only; 2=ABC; 3=get F from forecast ABC catch with allocations applied) -3 #_First forecast loop with stochastic recruitment -1 #_Forecast recruitment: 0= spawn_recr; 1=value*spawn_recr_fxn; 2=value*VirginRecr; 3=recent mean from yr range above (need to set phase to -1 in control to get constant recruitment in MCMC) -1 # value is multiplier of SRR -0 #_Forecast loop control #5 (reserved for future bells&whistles) -2010 #FirstYear for caps and allocations (should be after years with fixed inputs) +3 # First forecast loop with stochastic recruitment +1 # Forecast base recruitment: 0= spawn_recr; 1=mult*spawn_recr_fxn; 2=mult*VirginRecr; 3=deprecated; 4=mult*mean_over_yr_range +# for option 4, set phase for fore_recr_devs to -1 in control to get constant mean in MCMC, else devs will be applied +1 # multiplier on base recruitment +0 # not used +# +2010 # FirstYear for caps and allocations (should be after years with fixed inputs) 0 # stddev of log(realized catch/target catch) in forecast (set value>0.0 to cause active impl_error) 0 # Do West Coast gfish rebuilder output: 0=no; 1=yes 1999 # Rebuilder: first year catch could have been set to zero (Ydecl)(-1 to set to 1999) 2002 # Rebuilder: year for current age structure (Yinit) (-1 to set to endyear+1) -1 # fleet relative F: 1=use first-last alloc year; 2=read seas, fleet, alloc list below -# Note that fleet allocation is used directly as average F if Do_Forecast=4 +1 # fleet relative F: 1=use mean over year range; 2=read seas, fleet, alloc list below +# Note that fleet allocation values is used directly as F if Do_Forecast=4 2 # basis for fcast catch tuning and for fcast catch caps and allocation (2=deadbio; 3=retainbio; 5=deadnum; 6=retainnum); NOTE: same units for all fleets # Conditional input if relative F choice = 2 # enter list of: season, fleet, relF; if used, terminate with season=-9999 diff --git a/models/Simple/ss_summary.sso b/models/Simple/ss_summary.sso index c8218b2..544edf4 100644 --- a/models/Simple/ss_summary.sso +++ b/models/Simple/ss_summary.sso @@ -1,7 +1,7 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 data.ss #_DataFile control.ss #_Control -Run_Date: Tue Feb 14 23:40:27 2023 +Run_Date: Tue Oct 31 17:00:33 2023 Final_phase: 5 N_iterations: 419 #_LIKELIHOOD Label logL*Lambda diff --git a/models/Simple/starter.ss b/models/Simple/starter.ss index 9dc8b5a..da75b01 100644 --- a/models/Simple/starter.ss +++ b/models/Simple/starter.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -9,9 +9,9 @@ data.ss control.ss 0 # 0=use init values in control file; 1=use ss.par -0 # run display detail (0,1,2) +0 # run display detail (0 = minimal; 1=one line per iter; 2=each logL) 1 # detailed output (0=minimal for data-limited, 1=high (w/ wtatage.ss_new), 2=brief, 3=custom) -# custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end +#COND: custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end 0 # write 1st iteration details to echoinput.sso file (0,1) 0 # write parm values to ParmTrace.sso (0=no,1=good,active; 2=good,all; 3=every_iter,all_parms; 4=every,active) 0 # write to cumreport.sso (0=no,1=like×eries; 2=add survey fits) @@ -27,7 +27,7 @@ control.ss 1969 # min yr for sdreport outputs (-1 for styr); #_1969 2011 # max yr for sdreport outputs (-1 for endyr+1; -2 for endyr+Nforecastyrs); #_2011 0 # N individual STD years -#vector of year values +#COND: vector of year values if N>0 0.0001 # final convergence criteria (e.g. 1.0e-04) 0 # retrospective year relative to end year (e.g. -4) @@ -35,10 +35,10 @@ control.ss 2 # Depletion basis: denom is: 0=skip; 1=X*SPBvirgin; 2=X*SPBmsy; 3=X*SPB_styr; 4=X*SPB_endyr; 5=X*dyn_Bzero; values>=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) 1 # Fraction (X) for Depletion denominator (e.g. 0.4) 4 # SPR_report_basis: 0=skip; 1=(1-SPR)/(1-SPR_tgt); 2=(1-SPR)/(1-SPR_MSY); 3=(1-SPR)/(1-SPR_Btarget); 4=rawSPR -3 # F_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=true F for range of ages; 5=unweighted avg. F for range of ages -#COND 10 15 #_min and max age over which average F will be calculated with F_reporting=4 or 5 -0 # F_std_basis: 0=raw_annual_F; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual_F; values >=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) +3 # F_std_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=mean F for range of ages (numbers weighted); 5=unweighted mean F for range of ages +#COND 10 15 #_min and max age over which mean F will be calculated with F_reporting=4 or 5 +0 # F_std_scaling: 0=no scaling; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual F_std, Fmsy means F_std@msy; values >=11 invoke N multiyr (up to 9!) using 10's digit; >100 invokes log(ratio) 0 # MCMC output detail: integer part (0=default; 1=adds obj func components; 2= +write_report_for_each_mceval); and decimal part (added to SR_LN(R0) on first call to mcmc) -0 # ALK tolerance ***disabled in code (example 0.0001) --1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1676418066 +0 # ALK tolerance ***disabled in code +-1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1698771682 3.30 # check value for end of file and for version control diff --git a/models/Simple/warning.sso b/models/Simple/warning.sso index fc9eb72..4c8a20c 100644 --- a/models/Simple/warning.sso +++ b/models/Simple/warning.sso @@ -1,3 +1,4 @@ Note 1 Information: Max data length bin: 90 < max pop len bins: 94; so will accumulate larger pop len bins Note 2 Suggestion: This model has just one settlement event. Changing to recr_dist_method 4 and removing the recruitment distribution parameters at the end of the MG parms section (below growth parameters) will produce identical results and simplify the model. - 2 notes +Note 3 Information: A revised protocol for the Fcast_yr specification is available and recommended. + 3 notes diff --git a/models/Simple_Lorenzen_tv_trend/control.ss b/models/Simple_Lorenzen_tv_trend/control.ss index ab55d4c..bb439a7 100644 --- a/models/Simple_Lorenzen_tv_trend/control.ss +++ b/models/Simple_Lorenzen_tv_trend/control.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -12,6 +12,7 @@ 1 #_N_Growth_Patterns (Growth Patterns, Morphs, Bio Patterns, GP are terms used interchangeably in SS3) 1 #_N_platoons_Within_GrowthPattern #_Cond 1 #_Platoon_within/between_stdev_ratio (no read if N_platoons=1) +#_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # 4 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) @@ -52,8 +53,8 @@ 5 #_reference age for Lorenzen M; read 1P per morph # 1 # GrowthModel: 1=vonBert with L1&L2; 2=Richards with L1&L2; 3=age_specific_K_incr; 4=age_specific_K_decr; 5=age_specific_K_each; 6=NA; 7=NA; 8=growth cessation -0 #_Age(post-settlement)_for_L1;linear growth below this -25 #_Growth_Age_for_L2 (999 to use as Linf) +0 #_Age(post-settlement) for L1 (aka Amin); first growth parameter is size at this age; linear growth below this +25 #_Age(post-settlement) for L2 (aka Amax); 999 to treat as Linf -999 #_exponential decay for growth above maxage (value should approx initial Z; -999 replicates 3.24; -998 to not allow growth above maxage) 0 #_placeholder for future growth feature # @@ -101,6 +102,7 @@ # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement +# Platoon StDev Ratio # Age Error from parameters # catch multiplier # fraction female, by GP @@ -125,7 +127,7 @@ 0 0 0 0 0 0 -99 0 0 0 0 0 0 0 # SR_autocorr #_no timevary SR parameters 1 #do_recdev: 0=none; 1=devvector (R=F(SSB)+dev); 2=deviations (R=F(SSB)+dev); 3=deviations (R=R0*dev; dev2=R-f(SSB)); 4=like 3 with sum(dev2) adding penalty -1971 # first year of main recr_devs; early devs can preceed this era +1971 # first year of main recr_devs; early devs can precede this era 2001 # last year of main recr_devs; forecast devs start in following year 2 #_recdev phase 1 # (0/1) to read 13 advanced options @@ -194,7 +196,7 @@ #Pattern:_11; parm=2; selex=1.0 for specified min-max population length bin range #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_6; parm=2+special; non-parm len selex -#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (average over bin range) +#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (mean over bin range) #Pattern:_8; parm=8; double_logistic with smooth transitions and constant above Linf option #Pattern:_9; parm=6; simple 4-parm double logistic with starting length; parm 5 is first length; parm 6=1 does desc as offset #Pattern:_21; parm=2+special; non-parm len selex, read as pairs of size, then selex @@ -204,7 +206,7 @@ #Pattern:_2; parm=6; double_normal with sel(minL) and sel(maxL), using joiners, back compatibile version of 24 with 3.30.18 and older #Pattern:_25; parm=3; exponential-logistic in length #Pattern:_27; parm=special+3; cubic spline in length; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (mean over bin range) #_discard_options:_0=none;_1=define_retention;_2=retention&mortality;_3=all_discarded_dead;_4=define_dome-shaped_retention #_Pattern Discard Male Special 1 0 0 0 # 1 FISHERY @@ -221,13 +223,13 @@ #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_16; parm=2; Coleraine - Gaussian #Pattern:_17; parm=nages+1; empirical as random walk N parameters to read can be overridden by setting special to non-zero -#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (average over bin range) +#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (mean over bin range) #Pattern:_18; parm=8; double logistic - smooth transition #Pattern:_19; parm=6; simple 4-parm double logistic with starting age #Pattern:_20; parm=6; double_normal,using joiners #Pattern:_26; parm=3; exponential-logistic in age #Pattern:_27; parm=3+special; cubic spline in age; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (mean over bin range) #Age patterns entered with value >100 create Min_selage from first digit and pattern from remainder #_Pattern Discard Male Special 11 0 0 0 # 1 FISHERY @@ -265,8 +267,12 @@ 1 20 1.009 3 3 0 -4 # Size_95%width_SURVEY1(2)_TrendWidth_yr_ # info on dev vectors created for selex parms are reported with other devs after tag parameter section # -0 # use 2D_AR1 selectivity(0/1) +0 # use 2D_AR1 selectivity? (0/1) #_no 2D_AR1 selex offset used +#_specs: fleet, ymin, ymax, amin, amax, sigma_amax, use_rho, len1/age2, devphase, before_range, after_range +#_sigma_amax>amin means create sigma parm for each bin from min to sigma_amax; sigma_amax<0 means just one sigma parm is read and used for all bins +#_needed parameters follow each fleet's specifications +# -9999 0 0 0 0 0 0 0 0 0 0 # terminator # # Tag loss and Tag reporting parameters go next 0 # TG_custom: 0=no read and autogen if tag data exist; 1=read diff --git a/models/Simple_Lorenzen_tv_trend/data.ss b/models/Simple_Lorenzen_tv_trend/data.ss index ca2c85d..40096bb 100644 --- a/models/Simple_Lorenzen_tv_trend/data.ss +++ b/models/Simple_Lorenzen_tv_trend/data.ss @@ -1,21 +1,21 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov #_User_info_available_at:https://vlab.noaa.gov/group/stock-synthesis #_Source_code_at:_https://github.com/nmfs-stock-synthesis/stock-synthesis -#_Start_time: Tue Feb 14 23:42:22 2023 +#_Start_time: Tue Oct 31 17:02:57 2023 #_echo_input_data #C data file for simple example -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 1971 #_StartYr 2001 #_EndYr 1 #_Nseas 12 #_months/season 2 #_Nsubseasons (even number, minimum is 2) 1 #_spawn_month -2 #_Ngenders: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) +2 #_Nsexes: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) 40 #_Nages=accumulator age, first age is always age 0 1 #_Nareas 3 #_Nfleets (including surveys) @@ -129,7 +129,7 @@ 1 # use length composition data (0/1/2) where 2 invokes new comp_control format #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie @@ -196,7 +196,7 @@ 0.5 0.65 0.67 0.7 0.73 0.76 0.8 0.84 0.88 0.92 0.97 1.03 1.09 1.16 1.23 1.32 1.41 1.51 1.62 1.75 1.89 2.05 2.23 2.45 2.71 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie diff --git a/models/Simple_Lorenzen_tv_trend/forecast.ss b/models/Simple_Lorenzen_tv_trend/forecast.ss index 92f852f..09380fc 100644 --- a/models/Simple_Lorenzen_tv_trend/forecast.ss +++ b/models/Simple_Lorenzen_tv_trend/forecast.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #C generic forecast file # for all year entries except rebuilder; enter either: actual year, -999 for styr, 0 for endyr, neg number for rel. endyr 1 # Benchmarks: 0=skip; 1=calc F_spr,F_btgt,F_msy; 2=calc F_spr,F0.1,F_msy; 3=add F_Blimit; @@ -16,27 +16,47 @@ # where none and simple require no input after this line; simple sets forecast F same as end year F 10 # N forecast years 0.2 # Fmult (only used for Do_Forecast==5) such that apical_F(f)=Fmult*relF(f) -#_Fcast_years: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) +#_Fcast_years for averaging: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) 0 0 -10 0 -999 0 # 2001 2001 1991 2001 1971 2001 -0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from annual time-vary parms) +0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from time-vary parms). NOTE: logic reverses in new format +# A revised protocol for the Fcast_yr specification is available and recommended. Template is below. +# +#-12345 # code to invoke new format for expanded fcast year controls +# biology and selectivity vectors are updated annually in the forecast according to timevary parameters, so check end year of blocks and dev vectors +# input in this section directs creation of means over historical years to override any time_vary changes +# Factors implemented so far: 1=M, 4=recr_dist, 5=migration, 10=selectivity, 11=rel_F, 12=recruitment +# rel_F and Recruitment also have additional controls later in forecast.ss +# input as list: Factor, method (0, 1), st_yr, end_yr +# Terminate with -9999 for Factor +# st_yr and end_yr input can be actual year; <=0 sets rel. to timeseries endyr; Except -999 for st_yr sets to first year if time series +# Method = 0 (or omitted) continue using time_vary parms; 1 use mean of derived factor over specified year range +# Factor method st_yr end_yr +# 10 1 0 0 # selectivity; use: 10 1 0 0 +# 11 1 -10 0 # rel_F; use: 11 1 -10 0 +# 12 1 -999 0 # recruitment; use: 12 1 -999 0 +#-9999 0 0 0 +# 1 # Control rule method (0: none; 1: ramp does catch=f(SSB), buffer on F; 2: ramp does F=f(SSB), buffer on F; 3: ramp does catch=f(SSB), buffer on catch; 4: ramp does F=f(SSB), buffer on catch) # values for top, bottom and buffer exist, but not used when Policy=0 0.4 # Control rule inflection for constant F (as frac of Bzero, e.g. 0.40); must be > control rule cutoff, or set to -1 to use Bmsy/SSB_unf 0.1 # Control rule cutoff for no F (as frac of Bzero, e.g. 0.10) 0.75 # Buffer: enter Control rule target as fraction of Flimit (e.g. 0.75), negative value invokes list of [year, scalar] with filling from year to YrMax +# 3 #_N forecast loops (1=OFL only; 2=ABC; 3=get F from forecast ABC catch with allocations applied) -3 #_First forecast loop with stochastic recruitment -1 #_Forecast recruitment: 0= spawn_recr; 1=value*spawn_recr_fxn; 2=value*VirginRecr; 3=recent mean from yr range above (need to set phase to -1 in control to get constant recruitment in MCMC) -1 # value is multiplier of SRR -0 #_Forecast loop control #5 (reserved for future bells&whistles) -2010 #FirstYear for caps and allocations (should be after years with fixed inputs) +3 # First forecast loop with stochastic recruitment +1 # Forecast base recruitment: 0= spawn_recr; 1=mult*spawn_recr_fxn; 2=mult*VirginRecr; 3=deprecated; 4=mult*mean_over_yr_range +# for option 4, set phase for fore_recr_devs to -1 in control to get constant mean in MCMC, else devs will be applied +1 # multiplier on base recruitment +0 # not used +# +2010 # FirstYear for caps and allocations (should be after years with fixed inputs) 0 # stddev of log(realized catch/target catch) in forecast (set value>0.0 to cause active impl_error) 0 # Do West Coast gfish rebuilder output: 0=no; 1=yes 1999 # Rebuilder: first year catch could have been set to zero (Ydecl)(-1 to set to 1999) 2002 # Rebuilder: year for current age structure (Yinit) (-1 to set to endyear+1) -1 # fleet relative F: 1=use first-last alloc year; 2=read seas, fleet, alloc list below -# Note that fleet allocation is used directly as average F if Do_Forecast=4 +1 # fleet relative F: 1=use mean over year range; 2=read seas, fleet, alloc list below +# Note that fleet allocation values is used directly as F if Do_Forecast=4 2 # basis for fcast catch tuning and for fcast catch caps and allocation (2=deadbio; 3=retainbio; 5=deadnum; 6=retainnum); NOTE: same units for all fleets # Conditional input if relative F choice = 2 # enter list of: season, fleet, relF; if used, terminate with season=-9999 diff --git a/models/Simple_Lorenzen_tv_trend/ss_summary.sso b/models/Simple_Lorenzen_tv_trend/ss_summary.sso index 7046235..1985451 100644 --- a/models/Simple_Lorenzen_tv_trend/ss_summary.sso +++ b/models/Simple_Lorenzen_tv_trend/ss_summary.sso @@ -1,7 +1,7 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 data.ss #_DataFile control.ss #_Control -Run_Date: Tue Feb 14 23:41:07 2023 +Run_Date: Tue Oct 31 17:01:23 2023 Final_phase: 5 N_iterations: 477 #_LIKELIHOOD Label logL*Lambda diff --git a/models/Simple_Lorenzen_tv_trend/starter.ss b/models/Simple_Lorenzen_tv_trend/starter.ss index 2cdb377..474793c 100644 --- a/models/Simple_Lorenzen_tv_trend/starter.ss +++ b/models/Simple_Lorenzen_tv_trend/starter.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -9,9 +9,9 @@ data.ss control.ss 0 # 0=use init values in control file; 1=use ss.par -0 # run display detail (0,1,2) +0 # run display detail (0 = minimal; 1=one line per iter; 2=each logL) 1 # detailed output (0=minimal for data-limited, 1=high (w/ wtatage.ss_new), 2=brief, 3=custom) -# custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end +#COND: custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end 0 # write 1st iteration details to echoinput.sso file (0,1) 0 # write parm values to ParmTrace.sso (0=no,1=good,active; 2=good,all; 3=every_iter,all_parms; 4=every,active) 0 # write to cumreport.sso (0=no,1=like×eries; 2=add survey fits) @@ -27,7 +27,7 @@ control.ss 1969 # min yr for sdreport outputs (-1 for styr); #_1969 2011 # max yr for sdreport outputs (-1 for endyr+1; -2 for endyr+Nforecastyrs); #_2011 0 # N individual STD years -#vector of year values +#COND: vector of year values if N>0 0.0001 # final convergence criteria (e.g. 1.0e-04) 0 # retrospective year relative to end year (e.g. -4) @@ -35,10 +35,10 @@ control.ss 2 # Depletion basis: denom is: 0=skip; 1=X*SPBvirgin; 2=X*SPBmsy; 3=X*SPB_styr; 4=X*SPB_endyr; 5=X*dyn_Bzero; values>=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) 1 # Fraction (X) for Depletion denominator (e.g. 0.4) 4 # SPR_report_basis: 0=skip; 1=(1-SPR)/(1-SPR_tgt); 2=(1-SPR)/(1-SPR_MSY); 3=(1-SPR)/(1-SPR_Btarget); 4=rawSPR -3 # F_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=true F for range of ages; 5=unweighted avg. F for range of ages -#COND 10 15 #_min and max age over which average F will be calculated with F_reporting=4 or 5 -0 # F_std_basis: 0=raw_annual_F; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual_F; values >=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) +3 # F_std_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=mean F for range of ages (numbers weighted); 5=unweighted mean F for range of ages +#COND 10 15 #_min and max age over which mean F will be calculated with F_reporting=4 or 5 +0 # F_std_scaling: 0=no scaling; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual F_std, Fmsy means F_std@msy; values >=11 invoke N multiyr (up to 9!) using 10's digit; >100 invokes log(ratio) 0 # MCMC output detail: integer part (0=default; 1=adds obj func components; 2= +write_report_for_each_mceval); and decimal part (added to SR_LN(R0) on first call to mcmc) -0 # ALK tolerance ***disabled in code (example 0.0001) --1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1676418142 +0 # ALK tolerance ***disabled in code +-1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1698771777 3.30 # check value for end of file and for version control diff --git a/models/Simple_Lorenzen_tv_trend/warning.sso b/models/Simple_Lorenzen_tv_trend/warning.sso index 0291a54..94a1f0a 100644 --- a/models/Simple_Lorenzen_tv_trend/warning.sso +++ b/models/Simple_Lorenzen_tv_trend/warning.sso @@ -1,5 +1,6 @@ Note 1 Information: Max data length bin: 90 < max pop len bins: 94; so will accumulate larger pop len bins Warning 1 : 1st iteration warning: ssb(endyr)/ssb(styr)= 5.31255e-05; suggest start with larger R0 to get near 0.4; or use depletion fleet option Warning 2 : 1st iteration warning: catch logL > 50% total logL; check configuration; suggest start with larger R0 +Note 2 Information: A revised protocol for the Fcast_yr specification is available and recommended. Warning 3 : Reminder: Number of lamdas !=0.0 and !=1.0: 3 - 3 warnings and 1 note + 3 warnings and 2 notes diff --git a/models/Simple_NoCPUE/forecast.ss b/models/Simple_NoCPUE/forecast.ss index 6e22fcf..7ebab5d 100644 --- a/models/Simple_NoCPUE/forecast.ss +++ b/models/Simple_NoCPUE/forecast.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #C generic forecast file # for all year entries except rebuilder; enter either: actual year, -999 for styr, 0 for endyr, neg number for rel. endyr 1 # Benchmarks: 0=skip; 1=calc F_spr,F_btgt,F_msy; 2=calc F_spr,F0.1,F_msy; 3=add F_Blimit; @@ -16,27 +16,47 @@ # where none and simple require no input after this line; simple sets forecast F same as end year F 10 # N forecast years 0.2 # Fmult (only used for Do_Forecast==5) such that apical_F(f)=Fmult*relF(f) -#_Fcast_years: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) +#_Fcast_years for averaging: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) 0 0 -10 0 -999 0 # 2001 2001 1991 2001 1971 2001 -0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from annual time-vary parms) +0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from time-vary parms). NOTE: logic reverses in new format +# A revised protocol for the Fcast_yr specification is available and recommended. Template is below. +# +#-12345 # code to invoke new format for expanded fcast year controls +# biology and selectivity vectors are updated annually in the forecast according to timevary parameters, so check end year of blocks and dev vectors +# input in this section directs creation of means over historical years to override any time_vary changes +# Factors implemented so far: 1=M, 4=recr_dist, 5=migration, 10=selectivity, 11=rel_F, 12=recruitment +# rel_F and Recruitment also have additional controls later in forecast.ss +# input as list: Factor, method (0, 1), st_yr, end_yr +# Terminate with -9999 for Factor +# st_yr and end_yr input can be actual year; <=0 sets rel. to timeseries endyr; Except -999 for st_yr sets to first year if time series +# Method = 0 (or omitted) continue using time_vary parms; 1 use mean of derived factor over specified year range +# Factor method st_yr end_yr +# 10 1 0 0 # selectivity; use: 10 1 0 0 +# 11 1 -10 0 # rel_F; use: 11 1 -10 0 +# 12 1 -999 0 # recruitment; use: 12 1 -999 0 +#-9999 0 0 0 +# 1 # Control rule method (0: none; 1: ramp does catch=f(SSB), buffer on F; 2: ramp does F=f(SSB), buffer on F; 3: ramp does catch=f(SSB), buffer on catch; 4: ramp does F=f(SSB), buffer on catch) # values for top, bottom and buffer exist, but not used when Policy=0 0.4 # Control rule inflection for constant F (as frac of Bzero, e.g. 0.40); must be > control rule cutoff, or set to -1 to use Bmsy/SSB_unf 0.1 # Control rule cutoff for no F (as frac of Bzero, e.g. 0.10) 0.75 # Buffer: enter Control rule target as fraction of Flimit (e.g. 0.75), negative value invokes list of [year, scalar] with filling from year to YrMax +# 3 #_N forecast loops (1=OFL only; 2=ABC; 3=get F from forecast ABC catch with allocations applied) -3 #_First forecast loop with stochastic recruitment -0 #_Forecast recruitment: 0= spawn_recr; 1=value*spawn_recr_fxn; 2=value*VirginRecr; 3=recent mean from yr range above (need to set phase to -1 in control to get constant recruitment in MCMC) -1 # value is ignored -0 #_Forecast loop control #5 (reserved for future bells&whistles) -2010 #FirstYear for caps and allocations (should be after years with fixed inputs) +3 # First forecast loop with stochastic recruitment +0 # Forecast base recruitment: 0= spawn_recr; 1=mult*spawn_recr_fxn; 2=mult*VirginRecr; 3=deprecated; 4=mult*mean_over_yr_range +# for option 4, set phase for fore_recr_devs to -1 in control to get constant mean in MCMC, else devs will be applied +1 # Value multiplier is ignored +0 # not used +# +2010 # FirstYear for caps and allocations (should be after years with fixed inputs) 0 # stddev of log(realized catch/target catch) in forecast (set value>0.0 to cause active impl_error) 0 # Do West Coast gfish rebuilder output: 0=no; 1=yes 1999 # Rebuilder: first year catch could have been set to zero (Ydecl)(-1 to set to 1999) 2002 # Rebuilder: year for current age structure (Yinit) (-1 to set to endyear+1) -1 # fleet relative F: 1=use first-last alloc year; 2=read seas, fleet, alloc list below -# Note that fleet allocation is used directly as average F if Do_Forecast=4 +1 # fleet relative F: 1=use mean over year range; 2=read seas, fleet, alloc list below +# Note that fleet allocation values is used directly as F if Do_Forecast=4 2 # basis for fcast catch tuning and for fcast catch caps and allocation (2=deadbio; 3=retainbio; 5=deadnum; 6=retainnum); NOTE: same units for all fleets # Conditional input if relative F choice = 2 # enter list of: season, fleet, relF; if used, terminate with season=-9999 diff --git a/models/Simple_NoCPUE/simple.ctl b/models/Simple_NoCPUE/simple.ctl index dc686d6..d147d10 100644 --- a/models/Simple_NoCPUE/simple.ctl +++ b/models/Simple_NoCPUE/simple.ctl @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -12,6 +12,7 @@ 1 #_N_Growth_Patterns (Growth Patterns, Morphs, Bio Patterns, GP are terms used interchangeably in SS3) 1 #_N_platoons_Within_GrowthPattern #_Cond 1 #_Platoon_within/between_stdev_ratio (no read if N_platoons=1) +#_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # 2 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) @@ -52,8 +53,8 @@ #_no additional input for selected M option; read 1P per morph # 1 # GrowthModel: 1=vonBert with L1&L2; 2=Richards with L1&L2; 3=age_specific_K_incr; 4=age_specific_K_decr; 5=age_specific_K_each; 6=NA; 7=NA; 8=growth cessation -0 #_Age(post-settlement)_for_L1;linear growth below this -25 #_Growth_Age_for_L2 (999 to use as Linf) +0 #_Age(post-settlement) for L1 (aka Amin); first growth parameter is size at this age; linear growth below this +25 #_Age(post-settlement) for L2 (aka Amax); 999 to treat as Linf -999 #_exponential decay for growth above maxage (value should approx initial Z; -999 replicates 3.24; -998 to not allow growth above maxage) 0 #_placeholder for future growth feature # @@ -104,6 +105,7 @@ # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement +# Platoon StDev Ratio # Age Error from parameters # catch multiplier # fraction female, by GP @@ -128,7 +130,7 @@ 0 0 0 0 0 0 -99 0 0 0 0 0 0 0 # SR_autocorr #_no timevary SR parameters 1 #do_recdev: 0=none; 1=devvector (R=F(SSB)+dev); 2=deviations (R=F(SSB)+dev); 3=deviations (R=R0*dev; dev2=R-f(SSB)); 4=like 3 with sum(dev2) adding penalty -1971 # first year of main recr_devs; early devs can preceed this era +1971 # first year of main recr_devs; early devs can precede this era 2001 # last year of main recr_devs; forecast devs start in following year 2 #_recdev phase 1 # (0/1) to read 13 advanced options @@ -190,7 +192,7 @@ #Pattern:_11; parm=2; selex=1.0 for specified min-max population length bin range #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_6; parm=2+special; non-parm len selex -#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (average over bin range) +#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (mean over bin range) #Pattern:_8; parm=8; double_logistic with smooth transitions and constant above Linf option #Pattern:_9; parm=6; simple 4-parm double logistic with starting length; parm 5 is first length; parm 6=1 does desc as offset #Pattern:_21; parm=2+special; non-parm len selex, read as pairs of size, then selex @@ -200,7 +202,7 @@ #Pattern:_2; parm=6; double_normal with sel(minL) and sel(maxL), using joiners, back compatibile version of 24 with 3.30.18 and older #Pattern:_25; parm=3; exponential-logistic in length #Pattern:_27; parm=special+3; cubic spline in length; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (mean over bin range) #_discard_options:_0=none;_1=define_retention;_2=retention&mortality;_3=all_discarded_dead;_4=define_dome-shaped_retention #_Pattern Discard Male Special 1 0 0 0 # 1 FISHERY1 @@ -217,13 +219,13 @@ #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_16; parm=2; Coleraine - Gaussian #Pattern:_17; parm=nages+1; empirical as random walk N parameters to read can be overridden by setting special to non-zero -#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (average over bin range) +#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (mean over bin range) #Pattern:_18; parm=8; double logistic - smooth transition #Pattern:_19; parm=6; simple 4-parm double logistic with starting age #Pattern:_20; parm=6; double_normal,using joiners #Pattern:_26; parm=3; exponential-logistic in age #Pattern:_27; parm=3+special; cubic spline in age; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (mean over bin range) #Age patterns entered with value >100 create Min_selage from first digit and pattern from remainder #_Pattern Discard Male Special 11 0 0 0 # 1 FISHERY1 @@ -250,8 +252,12 @@ #_No_Dirichlet parameters #_no timevary selex parameters # -0 # use 2D_AR1 selectivity(0/1) +0 # use 2D_AR1 selectivity? (0/1) #_no 2D_AR1 selex offset used +#_specs: fleet, ymin, ymax, amin, amax, sigma_amax, use_rho, len1/age2, devphase, before_range, after_range +#_sigma_amax>amin means create sigma parm for each bin from min to sigma_amax; sigma_amax<0 means just one sigma parm is read and used for all bins +#_needed parameters follow each fleet's specifications +# -9999 0 0 0 0 0 0 0 0 0 0 # terminator # # Tag loss and Tag reporting parameters go next 0 # TG_custom: 0=no read and autogen if tag data exist; 1=read diff --git a/models/Simple_NoCPUE/simple.dat b/models/Simple_NoCPUE/simple.dat index f619b17..0469fef 100644 --- a/models/Simple_NoCPUE/simple.dat +++ b/models/Simple_NoCPUE/simple.dat @@ -1,21 +1,21 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov #_User_info_available_at:https://vlab.noaa.gov/group/stock-synthesis #_Source_code_at:_https://github.com/nmfs-stock-synthesis/stock-synthesis -#_Start_time: Tue Feb 14 23:42:57 2023 +#_Start_time: Tue Oct 31 17:03:41 2023 #_echo_input_data #C data file for simple example -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 1971 #_StartYr 2001 #_EndYr 1 #_Nseas 12 #_months/season 2 #_Nsubseasons (even number, minimum is 2) 1 #_spawn_month -2 #_Ngenders: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) +2 #_Nsexes: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) 40 #_Nages=accumulator age, first age is always age 0 1 #_Nareas 3 #_Nfleets (including surveys) @@ -108,7 +108,7 @@ 1 # use length composition data (0/1/2) where 2 invokes new comp_control format #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie @@ -175,7 +175,7 @@ 0.5 0.65 0.67 0.7 0.73 0.76 0.8 0.84 0.88 0.92 0.97 1.03 1.09 1.16 1.23 1.32 1.41 1.51 1.62 1.75 1.89 2.05 2.23 2.45 2.71 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie diff --git a/models/Simple_NoCPUE/ss_summary.sso b/models/Simple_NoCPUE/ss_summary.sso index 6b0b2da..a1ae327 100644 --- a/models/Simple_NoCPUE/ss_summary.sso +++ b/models/Simple_NoCPUE/ss_summary.sso @@ -1,7 +1,7 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 simple.dat #_DataFile simple.ctl #_Control -Run_Date: Tue Feb 14 23:42:23 2023 +Run_Date: Tue Oct 31 17:02:58 2023 Final_phase: 5 N_iterations: 395 #_LIKELIHOOD Label logL*Lambda diff --git a/models/Simple_NoCPUE/starter.ss b/models/Simple_NoCPUE/starter.ss index dd067f8..942cab8 100644 --- a/models/Simple_NoCPUE/starter.ss +++ b/models/Simple_NoCPUE/starter.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -9,9 +9,9 @@ simple.dat simple.ctl 0 # 0=use init values in control file; 1=use ss.par -1 # run display detail (0,1,2) +1 # run display detail (0 = minimal; 1=one line per iter; 2=each logL) 1 # detailed output (0=minimal for data-limited, 1=high (w/ wtatage.ss_new), 2=brief, 3=custom) -# custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end +#COND: custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end 0 # write 1st iteration details to echoinput.sso file (0,1) 0 # write parm values to ParmTrace.sso (0=no,1=good,active; 2=good,all; 3=every_iter,all_parms; 4=every,active) 1 # write to cumreport.sso (0=no,1=like×eries; 2=add survey fits) @@ -27,7 +27,7 @@ simple.ctl 1969 # min yr for sdreport outputs (-1 for styr); #_1969 2011 # max yr for sdreport outputs (-1 for endyr+1; -2 for endyr+Nforecastyrs); #_2011 0 # N individual STD years -#vector of year values +#COND: vector of year values if N>0 0.0001 # final convergence criteria (e.g. 1.0e-04) 0 # retrospective year relative to end year (e.g. -4) @@ -35,10 +35,10 @@ simple.ctl 1 # Depletion basis: denom is: 0=skip; 1=X*SPBvirgin; 2=X*SPBmsy; 3=X*SPB_styr; 4=X*SPB_endyr; 5=X*dyn_Bzero; values>=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) 0.4 # Fraction (X) for Depletion denominator (e.g. 0.4) 1 # SPR_report_basis: 0=skip; 1=(1-SPR)/(1-SPR_tgt); 2=(1-SPR)/(1-SPR_MSY); 3=(1-SPR)/(1-SPR_Btarget); 4=rawSPR -4 # F_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=true F for range of ages; 5=unweighted avg. F for range of ages - 20 23 #_min and max age over which average F will be calculated, with F=Z-M -1 # F_std_basis: 0=raw_annual_F; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual_F; values >=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) +4 # F_std_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=mean F for range of ages (numbers weighted); 5=unweighted mean F for range of ages + 20 23 # min and max age over which mean F will be calculated, with F=Z-M +1 # F_std_scaling: 0=no scaling; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual F_std, Fmsy means F_std@msy; values >=11 invoke N multiyr (up to 9!) using 10's digit; >100 invokes log(ratio) 0 # MCMC output detail: integer part (0=default; 1=adds obj func components; 2= +write_report_for_each_mceval); and decimal part (added to SR_LN(R0) on first call to mcmc) -0 # ALK tolerance ***disabled in code (example 0.0001) --1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1676418177 +0 # ALK tolerance ***disabled in code +-1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1698771821 3.30 # check value for end of file and for version control diff --git a/models/Simple_NoCPUE/warning.sso b/models/Simple_NoCPUE/warning.sso index 729f85d..d32597b 100644 --- a/models/Simple_NoCPUE/warning.sso +++ b/models/Simple_NoCPUE/warning.sso @@ -1,4 +1,5 @@ Warning 1 : fishing fleet: 1 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month Note 1 Information: Max data length bin: 90 < max pop len bins: 94; so will accumulate larger pop len bins Note 2 Suggestion: This model has just one settlement event. Changing to recr_dist_method 4 and removing the recruitment distribution parameters at the end of the MG parms section (below growth parameters) will produce identical results and simplify the model. - 1 warning and 2 notes +Note 3 Information: A revised protocol for the Fcast_yr specification is available and recommended. + 1 warning and 3 notes diff --git a/models/Simple_with_Discard/control.ss b/models/Simple_with_Discard/control.ss index a5c5df5..5a002a9 100644 --- a/models/Simple_with_Discard/control.ss +++ b/models/Simple_with_Discard/control.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -12,6 +12,7 @@ 1 #_N_Growth_Patterns (Growth Patterns, Morphs, Bio Patterns, GP are terms used interchangeably in SS3) 1 #_N_platoons_Within_GrowthPattern #_Cond 1 #_Platoon_within/between_stdev_ratio (no read if N_platoons=1) +#_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # 2 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) @@ -52,8 +53,8 @@ #_no additional input for selected M option; read 1P per morph # 1 # GrowthModel: 1=vonBert with L1&L2; 2=Richards with L1&L2; 3=age_specific_K_incr; 4=age_specific_K_decr; 5=age_specific_K_each; 6=NA; 7=NA; 8=growth cessation -0 #_Age(post-settlement)_for_L1;linear growth below this -25 #_Growth_Age_for_L2 (999 to use as Linf) +0 #_Age(post-settlement) for L1 (aka Amin); first growth parameter is size at this age; linear growth below this +25 #_Age(post-settlement) for L2 (aka Amax); 999 to treat as Linf -999 #_exponential decay for growth above maxage (value should approx initial Z; -999 replicates 3.24; -998 to not allow growth above maxage) 0 #_placeholder for future growth feature # @@ -104,6 +105,7 @@ # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement +# Platoon StDev Ratio # Age Error from parameters # catch multiplier # fraction female, by GP @@ -128,7 +130,7 @@ 0 0 0 0 0 0 -99 0 0 0 0 0 0 0 # SR_autocorr #_no timevary SR parameters 1 #do_recdev: 0=none; 1=devvector (R=F(SSB)+dev); 2=deviations (R=F(SSB)+dev); 3=deviations (R=R0*dev; dev2=R-f(SSB)); 4=like 3 with sum(dev2) adding penalty -1971 # first year of main recr_devs; early devs can preceed this era +1971 # first year of main recr_devs; early devs can precede this era 2001 # last year of main recr_devs; forecast devs start in following year 2 #_recdev phase 1 # (0/1) to read 13 advanced options @@ -203,7 +205,7 @@ #Pattern:_11; parm=2; selex=1.0 for specified min-max population length bin range #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_6; parm=2+special; non-parm len selex -#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (average over bin range) +#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (mean over bin range) #Pattern:_8; parm=8; double_logistic with smooth transitions and constant above Linf option #Pattern:_9; parm=6; simple 4-parm double logistic with starting length; parm 5 is first length; parm 6=1 does desc as offset #Pattern:_21; parm=2+special; non-parm len selex, read as pairs of size, then selex @@ -213,7 +215,7 @@ #Pattern:_2; parm=6; double_normal with sel(minL) and sel(maxL), using joiners, back compatibile version of 24 with 3.30.18 and older #Pattern:_25; parm=3; exponential-logistic in length #Pattern:_27; parm=special+3; cubic spline in length; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (mean over bin range) #_discard_options:_0=none;_1=define_retention;_2=retention&mortality;_3=all_discarded_dead;_4=define_dome-shaped_retention #_Pattern Discard Male Special 1 2 0 0 # 1 FISHERY @@ -231,13 +233,13 @@ #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_16; parm=2; Coleraine - Gaussian #Pattern:_17; parm=nages+1; empirical as random walk N parameters to read can be overridden by setting special to non-zero -#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (average over bin range) +#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (mean over bin range) #Pattern:_18; parm=8; double logistic - smooth transition #Pattern:_19; parm=6; simple 4-parm double logistic with starting age #Pattern:_20; parm=6; double_normal,using joiners #Pattern:_26; parm=3; exponential-logistic in age #Pattern:_27; parm=3+special; cubic spline in age; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (mean over bin range) #Age patterns entered with value >100 create Min_selage from first digit and pattern from remainder #_Pattern Discard Male Special 11 0 0 0 # 1 FISHERY @@ -275,8 +277,12 @@ #_No_Dirichlet parameters #_no timevary selex parameters # -0 # use 2D_AR1 selectivity(0/1) +0 # use 2D_AR1 selectivity? (0/1) #_no 2D_AR1 selex offset used +#_specs: fleet, ymin, ymax, amin, amax, sigma_amax, use_rho, len1/age2, devphase, before_range, after_range +#_sigma_amax>amin means create sigma parm for each bin from min to sigma_amax; sigma_amax<0 means just one sigma parm is read and used for all bins +#_needed parameters follow each fleet's specifications +# -9999 0 0 0 0 0 0 0 0 0 0 # terminator # # Tag loss and Tag reporting parameters go next 0 # TG_custom: 0=no read and autogen if tag data exist; 1=read diff --git a/models/Simple_with_Discard/data.ss b/models/Simple_with_Discard/data.ss index db88ea6..fd304e8 100644 --- a/models/Simple_with_Discard/data.ss +++ b/models/Simple_with_Discard/data.ss @@ -1,21 +1,21 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov #_User_info_available_at:https://vlab.noaa.gov/group/stock-synthesis #_Source_code_at:_https://github.com/nmfs-stock-synthesis/stock-synthesis -#_Start_time: Tue Feb 14 23:43:47 2023 +#_Start_time: Tue Oct 31 17:04:44 2023 #_echo_input_data #C data file for simple example -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 1971 #_StartYr 2001 #_EndYr 1 #_Nseas 12 #_months/season 2 #_Nsubseasons (even number, minimum is 2) 1 #_spawn_month -2 #_Ngenders: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) +2 #_Nsexes: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) 40 #_Nages=accumulator age, first age is always age 0 1 #_Nareas 4 #_Nfleets (including surveys) @@ -139,7 +139,7 @@ 1 # use length composition data (0/1/2) where 2 invokes new comp_control format #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie @@ -209,7 +209,7 @@ 0.5 0.65 0.67 0.7 0.73 0.76 0.8 0.84 0.88 0.92 0.97 1.03 1.09 1.16 1.23 1.32 1.41 1.51 1.62 1.75 1.89 2.05 2.23 2.45 2.71 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie diff --git a/models/Simple_with_Discard/forecast.ss b/models/Simple_with_Discard/forecast.ss index 03053ae..c3e8d98 100644 --- a/models/Simple_with_Discard/forecast.ss +++ b/models/Simple_with_Discard/forecast.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #C generic forecast file # for all year entries except rebuilder; enter either: actual year, -999 for styr, 0 for endyr, neg number for rel. endyr 1 # Benchmarks: 0=skip; 1=calc F_spr,F_btgt,F_msy; 2=calc F_spr,F0.1,F_msy; 3=add F_Blimit; @@ -16,27 +16,47 @@ # where none and simple require no input after this line; simple sets forecast F same as end year F 10 # N forecast years 0.2 # Fmult (only used for Do_Forecast==5) such that apical_F(f)=Fmult*relF(f) -#_Fcast_years: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) +#_Fcast_years for averaging: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) 0 0 -10 0 -999 0 # 2001 2001 1991 2001 1971 2001 -0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from annual time-vary parms) +0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from time-vary parms). NOTE: logic reverses in new format +# A revised protocol for the Fcast_yr specification is available and recommended. Template is below. +# +#-12345 # code to invoke new format for expanded fcast year controls +# biology and selectivity vectors are updated annually in the forecast according to timevary parameters, so check end year of blocks and dev vectors +# input in this section directs creation of means over historical years to override any time_vary changes +# Factors implemented so far: 1=M, 4=recr_dist, 5=migration, 10=selectivity, 11=rel_F, 12=recruitment +# rel_F and Recruitment also have additional controls later in forecast.ss +# input as list: Factor, method (0, 1), st_yr, end_yr +# Terminate with -9999 for Factor +# st_yr and end_yr input can be actual year; <=0 sets rel. to timeseries endyr; Except -999 for st_yr sets to first year if time series +# Method = 0 (or omitted) continue using time_vary parms; 1 use mean of derived factor over specified year range +# Factor method st_yr end_yr +# 10 1 0 0 # selectivity; use: 10 1 0 0 +# 11 1 -10 0 # rel_F; use: 11 1 -10 0 +# 12 1 -999 0 # recruitment; use: 12 1 -999 0 +#-9999 0 0 0 +# 1 # Control rule method (0: none; 1: ramp does catch=f(SSB), buffer on F; 2: ramp does F=f(SSB), buffer on F; 3: ramp does catch=f(SSB), buffer on catch; 4: ramp does F=f(SSB), buffer on catch) # values for top, bottom and buffer exist, but not used when Policy=0 0.4 # Control rule inflection for constant F (as frac of Bzero, e.g. 0.40); must be > control rule cutoff, or set to -1 to use Bmsy/SSB_unf 0.1 # Control rule cutoff for no F (as frac of Bzero, e.g. 0.10) 0.75 # Buffer: enter Control rule target as fraction of Flimit (e.g. 0.75), negative value invokes list of [year, scalar] with filling from year to YrMax +# 3 #_N forecast loops (1=OFL only; 2=ABC; 3=get F from forecast ABC catch with allocations applied) -3 #_First forecast loop with stochastic recruitment -0 #_Forecast recruitment: 0= spawn_recr; 1=value*spawn_recr_fxn; 2=value*VirginRecr; 3=recent mean from yr range above (need to set phase to -1 in control to get constant recruitment in MCMC) -1 # value is ignored -0 #_Forecast loop control #5 (reserved for future bells&whistles) -2010 #FirstYear for caps and allocations (should be after years with fixed inputs) +3 # First forecast loop with stochastic recruitment +0 # Forecast base recruitment: 0= spawn_recr; 1=mult*spawn_recr_fxn; 2=mult*VirginRecr; 3=deprecated; 4=mult*mean_over_yr_range +# for option 4, set phase for fore_recr_devs to -1 in control to get constant mean in MCMC, else devs will be applied +1 # Value multiplier is ignored +0 # not used +# +2010 # FirstYear for caps and allocations (should be after years with fixed inputs) 0 # stddev of log(realized catch/target catch) in forecast (set value>0.0 to cause active impl_error) 0 # Do West Coast gfish rebuilder output: 0=no; 1=yes 1999 # Rebuilder: first year catch could have been set to zero (Ydecl)(-1 to set to 1999) 2002 # Rebuilder: year for current age structure (Yinit) (-1 to set to endyear+1) -1 # fleet relative F: 1=use first-last alloc year; 2=read seas, fleet, alloc list below -# Note that fleet allocation is used directly as average F if Do_Forecast=4 +1 # fleet relative F: 1=use mean over year range; 2=read seas, fleet, alloc list below +# Note that fleet allocation values is used directly as F if Do_Forecast=4 2 # basis for fcast catch tuning and for fcast catch caps and allocation (2=deadbio; 3=retainbio; 5=deadnum; 6=retainnum); NOTE: same units for all fleets # Conditional input if relative F choice = 2 # enter list of: season, fleet, relF; if used, terminate with season=-9999 diff --git a/models/Simple_with_Discard/ss_summary.sso b/models/Simple_with_Discard/ss_summary.sso index 45f89b6..f3d67f0 100644 --- a/models/Simple_with_Discard/ss_summary.sso +++ b/models/Simple_with_Discard/ss_summary.sso @@ -1,7 +1,7 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 data.ss #_DataFile control.ss #_Control -Run_Date: Tue Feb 14 23:42:58 2023 +Run_Date: Tue Oct 31 17:03:43 2023 Final_phase: 6 N_iterations: 398 #_LIKELIHOOD Label logL*Lambda diff --git a/models/Simple_with_Discard/starter.ss b/models/Simple_with_Discard/starter.ss index d2b22db..1b27244 100644 --- a/models/Simple_with_Discard/starter.ss +++ b/models/Simple_with_Discard/starter.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -9,9 +9,9 @@ data.ss control.ss 0 # 0=use init values in control file; 1=use ss.par -1 # run display detail (0,1,2) +1 # run display detail (0 = minimal; 1=one line per iter; 2=each logL) 1 # detailed output (0=minimal for data-limited, 1=high (w/ wtatage.ss_new), 2=brief, 3=custom) -# custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end +#COND: custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end 0 # write 1st iteration details to echoinput.sso file (0,1) 4 # write parm values to ParmTrace.sso (0=no,1=good,active; 2=good,all; 3=every_iter,all_parms; 4=every,active) 1 # write to cumreport.sso (0=no,1=like×eries; 2=add survey fits) @@ -27,7 +27,7 @@ control.ss 1969 # min yr for sdreport outputs (-1 for styr); #_1969 2011 # max yr for sdreport outputs (-1 for endyr+1; -2 for endyr+Nforecastyrs); #_2011 0 # N individual STD years -#vector of year values +#COND: vector of year values if N>0 0.0001 # final convergence criteria (e.g. 1.0e-04) 0 # retrospective year relative to end year (e.g. -4) @@ -35,10 +35,10 @@ control.ss 1 # Depletion basis: denom is: 0=skip; 1=X*SPBvirgin; 2=X*SPBmsy; 3=X*SPB_styr; 4=X*SPB_endyr; 5=X*dyn_Bzero; values>=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) 0.4 # Fraction (X) for Depletion denominator (e.g. 0.4) 1 # SPR_report_basis: 0=skip; 1=(1-SPR)/(1-SPR_tgt); 2=(1-SPR)/(1-SPR_MSY); 3=(1-SPR)/(1-SPR_Btarget); 4=rawSPR -4 # F_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=true F for range of ages; 5=unweighted avg. F for range of ages - 20 23 #_min and max age over which average F will be calculated, with F=Z-M -1 # F_std_basis: 0=raw_annual_F; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual_F; values >=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) +4 # F_std_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=mean F for range of ages (numbers weighted); 5=unweighted mean F for range of ages + 20 23 # min and max age over which mean F will be calculated, with F=Z-M +1 # F_std_scaling: 0=no scaling; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual F_std, Fmsy means F_std@msy; values >=11 invoke N multiyr (up to 9!) using 10's digit; >100 invokes log(ratio) 0 # MCMC output detail: integer part (0=default; 1=adds obj func components; 2= +write_report_for_each_mceval); and decimal part (added to SR_LN(R0) on first call to mcmc) -0 # ALK tolerance ***disabled in code (example 0.0001) --1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1676418227 +0 # ALK tolerance ***disabled in code +-1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1698771884 3.30 # check value for end of file and for version control diff --git a/models/Simple_with_Discard/warning.sso b/models/Simple_with_Discard/warning.sso index 3f65b4d..a9a8910 100644 --- a/models/Simple_with_Discard/warning.sso +++ b/models/Simple_with_Discard/warning.sso @@ -1,4 +1,5 @@ Note 1 Information: Max data length bin: 90 < max pop len bins: 94; so will accumulate larger pop len bins Note 2 Suggestion: This model has just one settlement event. Changing to recr_dist_method 4 and removing the recruitment distribution parameters at the end of the MG parms section (below growth parameters) will produce identical results and simplify the model. +Note 3 Information: A revised protocol for the Fcast_yr specification is available and recommended. Warning 1 : Reminder: Number of lamdas !=0.0 and !=1.0: 1 - 1 warning and 2 notes + 1 warning and 3 notes diff --git a/models/Spinydogfish_2011/Spiny_Dogfish.CTL b/models/Spinydogfish_2011/Spiny_Dogfish.CTL index a487174..0d996f8 100644 --- a/models/Spinydogfish_2011/Spiny_Dogfish.CTL +++ b/models/Spinydogfish_2011/Spiny_Dogfish.CTL @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -10,6 +10,7 @@ 1 #_N_Growth_Patterns (Growth Patterns, Morphs, Bio Patterns, GP are terms used interchangeably in SS3) 1 #_N_platoons_Within_GrowthPattern #_Cond 1 #_Platoon_within/between_stdev_ratio (no read if N_platoons=1) +#_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # 2 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) @@ -50,8 +51,8 @@ #_no additional input for selected M option; read 1P per morph # 1 # GrowthModel: 1=vonBert with L1&L2; 2=Richards with L1&L2; 3=age_specific_K_incr; 4=age_specific_K_decr; 5=age_specific_K_each; 6=NA; 7=NA; 8=growth cessation -0 #_Age(post-settlement)_for_L1;linear growth below this -999 #_Growth_Age_for_L2 (999 to use as Linf) +0 #_Age(post-settlement) for L1 (aka Amin); first growth parameter is size at this age; linear growth below this +999 #_Age(post-settlement) for L2 (aka Amax); 999 to treat as Linf -999 #_exponential decay for growth above maxage (value should approx initial Z; -999 replicates 3.24; -998 to not allow growth above maxage) 0 #_placeholder for future growth feature # @@ -102,6 +103,7 @@ # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement +# Platoon StDev Ratio # Age Error from parameters # catch multiplier # fraction female, by GP @@ -127,7 +129,7 @@ 0 2 0 1 99 0 -5 0 0 0 0 0 0 0 # SR_autocorr #_no timevary SR parameters 1 #do_recdev: 0=none; 1=devvector (R=F(SSB)+dev); 2=deviations (R=F(SSB)+dev); 3=deviations (R=R0*dev; dev2=R-f(SSB)); 4=like 3 with sum(dev2) adding penalty -1980 # first year of main recr_devs; early devs can preceed this era +1980 # first year of main recr_devs; early devs can precede this era 2010 # last year of main recr_devs; forecast devs start in following year -1 #_recdev phase 1 # (0/1) to read 13 advanced options @@ -169,13 +171,13 @@ # Yr: 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 # seas: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 # TRAWL 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -# Trawl_Discard 0.0104157 0.0114581 0.0106471 0.00614342 0.0116882 0.0118662 0.010625 0.0109626 0.01186 0.0109246 0.0117028 0.0082581 0.00613915 0.00659739 0.00438248 0.0118115 0.0127104 0.0121698 0.0116239 0.0115048 0.0127847 0.0125479 0.0114862 0.0108923 0.0151577 0.0208812 0.0126019 0.00919761 0.0139718 0.00829824 0.00979751 0.0253355 0.0253355 0.0253355 0.0253355 0.0253355 0.0253355 0.0253355 0.0253355 0.0253355 0.0253355 0.0253355 0.0253355 +# Trawl_Discard 0.0104157 0.0114581 0.0106471 0.00614341 0.0116882 0.0118662 0.010625 0.0109626 0.01186 0.0109246 0.0117028 0.00825809 0.00613914 0.00659738 0.00438247 0.0118115 0.0127104 0.0121698 0.0116239 0.0115048 0.0127847 0.0125479 0.0114862 0.0108922 0.0151577 0.0208812 0.0126018 0.00919761 0.0139718 0.00829824 0.0097975 0.0253355 0.0253355 0.0253355 0.0253355 0.0253355 0.0253355 0.0253355 0.0253355 0.0253355 0.0253355 0.0253355 0.0253355 # MIDWATER 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 # A-SHOP 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 # HKL 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 # Hkl_Discard 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 # OTHERS 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -# RECREATIONAL 5.03357e-06 0.00149827 0.00213426 0.000805253 0.000755526 0.00246151 0.00298266 0.000409866 0.00237249 0.00119504 0.00126591 0.00126607 0.00128342 0.00126605 0.000571382 0.00101036 0.0009575 0.000240094 4.4567e-05 0.000597231 0.000541821 0.00050775 0.000799692 0.000633538 0.000141988 0.000245067 0.000201084 0.000320972 0.000160662 0.00024443 0.000125704 0.000722178 0.000722178 0.000722178 0.000722178 0.000722178 0.000722178 0.000722178 0.000722178 0.000722178 0.000722178 0.000722178 0.000722178 +# RECREATIONAL 5.03357e-06 0.00149827 0.00213426 0.000805253 0.000755525 0.00246151 0.00298266 0.000409865 0.00237249 0.00119504 0.00126591 0.00126607 0.00128342 0.00126605 0.000571382 0.00101036 0.000957499 0.000240094 4.4567e-05 0.00059723 0.00054182 0.00050775 0.000799692 0.000633537 0.000141988 0.000245067 0.000201084 0.000320972 0.000160662 0.00024443 0.000125704 0.000722178 0.000722178 0.000722178 0.000722178 0.000722178 0.000722178 0.000722178 0.000722178 0.000722178 0.000722178 0.000722178 0.000722178 # #_Q_setup for fleets with cpue or survey data #_1: fleet number @@ -198,10 +200,10 @@ 0 1 0.312773 0.1 99 0 3 0 0 0 0 0 0 0 # Q_extraSD_AFSC_triennial(9) -15 15 0.2433 0 1 0 -1 0 0 0 0 0 0 0 # LnQ_base_AFSC_slope(10) 0 1 0.470457 0.1 99 0 3 0 0 0 0 0 0 0 # Q_extraSD_AFSC_slope(10) - -15 15 -0.405813 0 1 0 -1 0 0 0 0 0 0 0 # LnQ_base_NWFSC_shelf_slope(11) - 0 1 0.808003 0.1 99 0 3 0 0 0 0 0 0 0 # Q_extraSD_NWFSC_shelf_slope(11) + -15 15 -0.405814 0 1 0 -1 0 0 0 0 0 0 0 # LnQ_base_NWFSC_shelf_slope(11) + 0 1 0.808004 0.1 99 0 3 0 0 0 0 0 0 0 # Q_extraSD_NWFSC_shelf_slope(11) -15 15 -2.46801 0 1 0 -1 0 0 0 0 0 0 0 # LnQ_base_NWFSC_slope(12) - 0 1 0.812211 0.1 99 0 3 0 0 0 0 0 0 0 # Q_extraSD_NWFSC_slope(12) + 0 1 0.812209 0.1 99 0 3 0 0 0 0 0 0 0 # Q_extraSD_NWFSC_slope(12) -15 15 -14.0178 0 1 0 -1 0 0 0 0 0 0 0 # LnQ_base_IPHC(13) 0 1 0.1 0.1 99 0 -3 0 0 0 0 0 0 0 # Q_extraSD_IPHC(13) # timevary Q parameters @@ -217,7 +219,7 @@ #Pattern:_11; parm=2; selex=1.0 for specified min-max population length bin range #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_6; parm=2+special; non-parm len selex -#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (average over bin range) +#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (mean over bin range) #Pattern:_8; parm=8; double_logistic with smooth transitions and constant above Linf option #Pattern:_9; parm=6; simple 4-parm double logistic with starting length; parm 5 is first length; parm 6=1 does desc as offset #Pattern:_21; parm=2+special; non-parm len selex, read as pairs of size, then selex @@ -227,7 +229,7 @@ #Pattern:_2; parm=6; double_normal with sel(minL) and sel(maxL), using joiners, back compatibile version of 24 with 3.30.18 and older #Pattern:_25; parm=3; exponential-logistic in length #Pattern:_27; parm=special+3; cubic spline in length; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (mean over bin range) #_discard_options:_0=none;_1=define_retention;_2=retention&mortality;_3=all_discarded_dead;_4=define_dome-shaped_retention #_Pattern Discard Male Special 24 0 0 0 # 1 TRAWL @@ -254,13 +256,13 @@ #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_16; parm=2; Coleraine - Gaussian #Pattern:_17; parm=nages+1; empirical as random walk N parameters to read can be overridden by setting special to non-zero -#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (average over bin range) +#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (mean over bin range) #Pattern:_18; parm=8; double logistic - smooth transition #Pattern:_19; parm=6; simple 4-parm double logistic with starting age #Pattern:_20; parm=6; double_normal,using joiners #Pattern:_26; parm=3; exponential-logistic in age #Pattern:_27; parm=3+special; cubic spline in age; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (mean over bin range) #Age patterns entered with value >100 create Min_selage from first digit and pattern from remainder #_Pattern Discard Male Special 11 0 0 0 # 1 TRAWL @@ -296,7 +298,7 @@ 20 120 57.2886 55 99 6 1 0 0 0 0 0.5 0 0 # Size_DblN_peak_MIDWATER(3) -6 4 0.556088 0 99 6 3 0 0 0 0 0.5 0 0 # Size_DblN_top_logit_MIDWATER(3) -1 9 4.95189 5 99 6 3 0 0 0 0 0.5 0 0 # Size_DblN_ascend_se_MIDWATER(3) - -1 9 4.49235 5 99 6 3 0 0 0 0 0.5 0 0 # Size_DblN_descend_se_MIDWATER(3) + -1 9 4.49236 5 99 6 3 0 0 0 0 0.5 0 0 # Size_DblN_descend_se_MIDWATER(3) -9 9 -5.49833 -7 99 6 3 0 0 0 0 0.5 0 0 # Size_DblN_start_logit_MIDWATER(3) -999 -999 -999 0 99 6 -3 0 0 0 0 0.5 0 0 # Size_DblN_end_logit_MIDWATER(3) # 4 A-SHOP LenSelex @@ -395,8 +397,12 @@ #_No_Dirichlet parameters #_no timevary selex parameters # -0 # use 2D_AR1 selectivity(0/1) +0 # use 2D_AR1 selectivity? (0/1) #_no 2D_AR1 selex offset used +#_specs: fleet, ymin, ymax, amin, amax, sigma_amax, use_rho, len1/age2, devphase, before_range, after_range +#_sigma_amax>amin means create sigma parm for each bin from min to sigma_amax; sigma_amax<0 means just one sigma parm is read and used for all bins +#_needed parameters follow each fleet's specifications +# -9999 0 0 0 0 0 0 0 0 0 0 # terminator # # Tag loss and Tag reporting parameters go next 0 # TG_custom: 0=no read and autogen if tag data exist; 1=read diff --git a/models/Spinydogfish_2011/Spiny_Dogfish.DAT b/models/Spinydogfish_2011/Spiny_Dogfish.DAT index 30f329d..f3bf2fe 100644 --- a/models/Spinydogfish_2011/Spiny_Dogfish.DAT +++ b/models/Spinydogfish_2011/Spiny_Dogfish.DAT @@ -1,21 +1,21 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov #_User_info_available_at:https://vlab.noaa.gov/group/stock-synthesis #_Source_code_at:_https://github.com/nmfs-stock-synthesis/stock-synthesis -#_Start_time: Tue Feb 14 23:47:46 2023 +#_Start_time: Tue Oct 31 17:09:46 2023 #_echo_input_data -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 1980 #_StartYr 2010 #_EndYr 1 #_Nseas 12 #_months/season 2 #_Nsubseasons (even number, minimum is 2) 1 #_spawn_month -2 #_Ngenders: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) +2 #_Nsexes: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) 95 #_Nages=accumulator age, first age is always age 0 1 #_Nareas 13 #_Nfleets (including surveys) @@ -397,7 +397,7 @@ 1 # use length composition data (0/1/2) where 2 invokes new comp_control format #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie @@ -495,7 +495,7 @@ 0.0986548 0.0986548 0.197731 0.297273 0.397333 0.497964 0.599228 0.70119 0.803922 0.907503 1.01202 1.11757 1.22425 1.33217 1.44147 1.55226 1.66471 1.77897 1.89521 2.01363 2.13443 2.25783 2.3841 2.51348 2.64629 2.78282 2.92344 3.06851 3.21845 3.3737 3.53476 3.70214 3.87642 4.05823 4.24823 4.44718 4.65587 4.87516 5.10601 5.34944 5.60656 5.87858 6.16681 6.47267 6.79772 7.14362 7.51219 7.90541 8.32542 8.77452 9.25525 9.77031 10.3227 10.9155 11.5524 12.237 12.9734 13.766 14.6196 15.5394 16.531 17.6005 18.7545 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie diff --git a/models/Spinydogfish_2011/forecast.ss b/models/Spinydogfish_2011/forecast.ss index ee18647..0b74aa2 100644 --- a/models/Spinydogfish_2011/forecast.ss +++ b/models/Spinydogfish_2011/forecast.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #C generic forecast file # for all year entries except rebuilder; enter either: actual year, -999 for styr, 0 for endyr, neg number for rel. endyr 1 # Benchmarks: 0=skip; 1=calc F_spr,F_btgt,F_msy; 2=calc F_spr,F0.1,F_msy; 3=add F_Blimit; @@ -16,27 +16,47 @@ # where none and simple require no input after this line; simple sets forecast F same as end year F 12 # N forecast years 0.2 # Fmult (only used for Do_Forecast==5) such that apical_F(f)=Fmult*relF(f) -#_Fcast_years: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) +#_Fcast_years for averaging: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) 0 0 -10 0 -999 0 # 2010 2010 2000 2010 1980 2010 -0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from annual time-vary parms) +0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from time-vary parms). NOTE: logic reverses in new format +# A revised protocol for the Fcast_yr specification is available and recommended. Template is below. +# +#-12345 # code to invoke new format for expanded fcast year controls +# biology and selectivity vectors are updated annually in the forecast according to timevary parameters, so check end year of blocks and dev vectors +# input in this section directs creation of means over historical years to override any time_vary changes +# Factors implemented so far: 1=M, 4=recr_dist, 5=migration, 10=selectivity, 11=rel_F, 12=recruitment +# rel_F and Recruitment also have additional controls later in forecast.ss +# input as list: Factor, method (0, 1), st_yr, end_yr +# Terminate with -9999 for Factor +# st_yr and end_yr input can be actual year; <=0 sets rel. to timeseries endyr; Except -999 for st_yr sets to first year if time series +# Method = 0 (or omitted) continue using time_vary parms; 1 use mean of derived factor over specified year range +# Factor method st_yr end_yr +# 10 1 0 0 # selectivity; use: 10 1 0 0 +# 11 1 -10 0 # rel_F; use: 11 1 -10 0 +# 12 1 -999 0 # recruitment; use: 12 1 -999 0 +#-9999 0 0 0 +# 1 # Control rule method (0: none; 1: ramp does catch=f(SSB), buffer on F; 2: ramp does F=f(SSB), buffer on F; 3: ramp does catch=f(SSB), buffer on catch; 4: ramp does F=f(SSB), buffer on catch) # values for top, bottom and buffer exist, but not used when Policy=0 0.4 # Control rule inflection for constant F (as frac of Bzero, e.g. 0.40); must be > control rule cutoff, or set to -1 to use Bmsy/SSB_unf 0.1 # Control rule cutoff for no F (as frac of Bzero, e.g. 0.10) 1 # Buffer: enter Control rule target as fraction of Flimit (e.g. 0.75), negative value invokes list of [year, scalar] with filling from year to YrMax +# 3 #_N forecast loops (1=OFL only; 2=ABC; 3=get F from forecast ABC catch with allocations applied) -3 #_First forecast loop with stochastic recruitment -0 #_Forecast recruitment: 0= spawn_recr; 1=value*spawn_recr_fxn; 2=value*VirginRecr; 3=recent mean from yr range above (need to set phase to -1 in control to get constant recruitment in MCMC) -1 # value is ignored -0 #_Forecast loop control #5 (reserved for future bells&whistles) -2011 #FirstYear for caps and allocations (should be after years with fixed inputs) +3 # First forecast loop with stochastic recruitment +0 # Forecast base recruitment: 0= spawn_recr; 1=mult*spawn_recr_fxn; 2=mult*VirginRecr; 3=deprecated; 4=mult*mean_over_yr_range +# for option 4, set phase for fore_recr_devs to -1 in control to get constant mean in MCMC, else devs will be applied +1 # Value multiplier is ignored +0 # not used +# +2011 # FirstYear for caps and allocations (should be after years with fixed inputs) 0 # stddev of log(realized catch/target catch) in forecast (set value>0.0 to cause active impl_error) 0 # Do West Coast gfish rebuilder output: 0=no; 1=yes 1999 # Rebuilder: first year catch could have been set to zero (Ydecl)(-1 to set to 1999) 2002 # Rebuilder: year for current age structure (Yinit) (-1 to set to endyear+1) -1 # fleet relative F: 1=use first-last alloc year; 2=read seas, fleet, alloc list below -# Note that fleet allocation is used directly as average F if Do_Forecast=4 +1 # fleet relative F: 1=use mean over year range; 2=read seas, fleet, alloc list below +# Note that fleet allocation values is used directly as F if Do_Forecast=4 2 # basis for fcast catch tuning and for fcast catch caps and allocation (2=deadbio; 3=retainbio; 5=deadnum; 6=retainnum); NOTE: same units for all fleets # Conditional input if relative F choice = 2 # enter list of: season, fleet, relF; if used, terminate with season=-9999 diff --git a/models/Spinydogfish_2011/ss.par b/models/Spinydogfish_2011/ss.par index b9edd17..1a70970 100644 --- a/models/Spinydogfish_2011/ss.par +++ b/models/Spinydogfish_2011/ss.par @@ -1,4 +1,4 @@ -# Number of parameters = 32 Objective function value = 1206.65674818755 Maximum gradient component = 9.68980251772559e-05 +# Number of parameters = 32 Objective function value = 1206.65674818752 Maximum gradient component = 6.57995033288852e-05 # dummy_parm: 1.00000000000 # MGparm[1]: @@ -52,7 +52,7 @@ # MGparm[25]: 0.500000000000 # SR_parm[1]: -9.05312107453 +9.05312168431 # SR_parm[2]: 0.400000000000 # SR_parm[3]: @@ -68,23 +68,23 @@ # Fcast_recruitments: 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 # Q_parm[1]: --0.825501846182 +-0.825502437535 # Q_parm[2]: -0.312773232401 +0.312773465344 # Q_parm[3]: -0.243300447600 +0.243299798054 # Q_parm[4]: -0.470457042895 +0.470456900091 # Q_parm[5]: --0.405812836670 +-0.405813513664 # Q_parm[6]: -0.808002588894 +0.808004256694 # Q_parm[7]: --2.46801087485 +-2.46801165570 # Q_parm[8]: -0.812210725577 +0.812208549482 # Q_parm[9]: --14.0178308322 +-14.0178315958 # Q_parm[10]: 0.100000000000 # Q_parm[11]: @@ -92,11 +92,11 @@ # Q_parm[12]: 0.00000000000 # selparm[1]: -99.8722322536 +99.8722375863 # selparm[2]: -1.00000000000 # selparm[3]: -5.88259353897 +5.88259381920 # selparm[4]: 5.00000000000 # selparm[5]: @@ -104,27 +104,27 @@ # selparm[6]: 9.00000000000 # selparm[7]: -73.3786716870 +73.3786696383 # selparm[8]: -1.00000000000 # selparm[9]: -6.09318746148 +6.09318738746 # selparm[10]: 5.00000000000 # selparm[11]: --3.16734495633 +-3.16734470840 # selparm[12]: 9.00000000000 # selparm[13]: -57.2885629951 +57.2885650245 # selparm[14]: -0.556088425702 +0.556087857102 # selparm[15]: -4.95188638878 +4.95188680852 # selparm[16]: -4.49235326713 +4.49235537285 # selparm[17]: --5.49832565238 +-5.49832965003 # selparm[18]: -999.000000000 # selparm[19]: @@ -132,11 +132,11 @@ # selparm[20]: -1.00000000000 # selparm[21]: -105.009438959 +105.009438538 # selparm[22]: -1.00000000000 # selparm[23]: -5.95832548338 +5.95832544786 # selparm[24]: 5.00000000000 # selparm[25]: @@ -144,11 +144,11 @@ # selparm[26]: 9.00000000000 # selparm[27]: -67.0826964221 +67.0826933835 # selparm[28]: -1.00000000000 # selparm[29]: -5.11044816257 +5.11044786718 # selparm[30]: 5.00000000000 # selparm[31]: @@ -160,11 +160,11 @@ # selparm[34]: -1.00000000000 # selparm[35]: -109.785422556 +109.785422455 # selparm[36]: -1.00000000000 # selparm[37]: -6.08691659514 +6.08691663244 # selparm[38]: 5.00000000000 # selparm[39]: @@ -172,35 +172,35 @@ # selparm[40]: 9.00000000000 # selparm[41]: -57.7786178862 +57.7786137256 # selparm[42]: --8.72471946443 +-8.72471960645 # selparm[43]: -6.59311352427 +6.59311304819 # selparm[44]: -6.46191564586 +6.46191597972 # selparm[45]: -5.00000000000 # selparm[46]: -999.000000000 # selparm[47]: -59.0784561869 +59.0784569294 # selparm[48]: --1.02633507644 +-1.02633578749 # selparm[49]: -5.63833668869 +5.63833672957 # selparm[50]: -4.98178824458 +4.98179013720 # selparm[51]: -5.00000000000 # selparm[52]: -999.000000000 # selparm[53]: -57.1977776048 +57.1977774304 # selparm[54]: -1.00000000000 # selparm[55]: -6.71617582957 +6.71617589777 # selparm[56]: 5.00000000000 # selparm[57]: diff --git a/models/Spinydogfish_2011/ss_summary.sso b/models/Spinydogfish_2011/ss_summary.sso index f35db35..7922225 100644 --- a/models/Spinydogfish_2011/ss_summary.sso +++ b/models/Spinydogfish_2011/ss_summary.sso @@ -1,8 +1,8 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 Spiny_Dogfish.DAT #_DataFile Spiny_Dogfish.CTL #_Control -Run_Date: Tue Feb 14 23:43:48 2023 -Final_phase: 3 N_iterations: 176 +Run_Date: Tue Oct 31 17:04:45 2023 +Final_phase: 3 N_iterations: 178 #_LIKELIHOOD Label logL*Lambda TOTAL_LogL 1206.66 @@ -98,15 +98,15 @@ ForeRecr_2020 0 0 Fix 0.5 ForeRecr_2021 0 0 Fix 0.5 ForeRecr_2022 0 0 Fix 0.5 #_Catchability -LnQ_base_AFSC_triennial(9) -0.825502 0.400727 Act 0.764541 -Q_extraSD_AFSC_triennial(9) 0.312773 0.0998888 Act 0.312773 +LnQ_base_AFSC_triennial(9) -0.825502 0.400728 Act 0.764541 +Q_extraSD_AFSC_triennial(9) 0.312773 0.0998889 Act 0.312773 LnQ_base_AFSC_slope(10) 0.2433 0 Fix 0.50811 -Q_extraSD_AFSC_slope(10) 0.470457 0.258398 Act 0.470457 -LnQ_base_NWFSC_shelf_slope(11) -0.405813 0 Fix 0.486473 -Q_extraSD_NWFSC_shelf_slope(11) 0.808003 0.232054 Act 0.808002 +Q_extraSD_AFSC_slope(10) 0.470457 0.258397 Act 0.470456 +LnQ_base_NWFSC_shelf_slope(11) -0.405814 0 Fix 0.486473 +Q_extraSD_NWFSC_shelf_slope(11) 0.808004 0.232056 Act 0.808003 LnQ_base_NWFSC_slope(12) -2.46801 0 Fix 0.417733 -Q_extraSD_NWFSC_slope(12) 0.812211 0.354002 Act 0.81221 -LnQ_base_IPHC(13) -14.0178 0 Fix 0.032739 +Q_extraSD_NWFSC_slope(12) 0.812209 0.353999 Act 0.812208 +LnQ_base_IPHC(13) -14.0178 0 Fix 0.0327389 Q_extraSD_IPHC(13) 0.1 0 Fix 0.0999999 LnQ_base_AFSC_triennial(9)_dev_se 2 0 Fix 0.999999 LnQ_base_AFSC_triennial(9)_dev_autocorr 0 0 Fix 0.5 @@ -126,7 +126,7 @@ Size_DblN_end_logit_Trawl_Discard(2) 9 0 Fix 1 Size_DblN_peak_MIDWATER(3) 57.2886 1.40421 Act 0.372886 Size_DblN_top_logit_MIDWATER(3) 0.556088 0.363375 Act 0.655609 Size_DblN_ascend_se_MIDWATER(3) 4.95189 0.194075 Act 0.595189 -Size_DblN_descend_se_MIDWATER(3) 4.49235 1.5358 Act 0.549235 +Size_DblN_descend_se_MIDWATER(3) 4.49236 1.5358 Act 0.549235 Size_DblN_start_logit_MIDWATER(3) -5.49833 1.24199 Act 0.194537 Size_DblN_end_logit_MIDWATER(3) -999 0 Fix 0 SizeSel_P1_A-SHOP(4) 1 0 Fix 0.5 @@ -160,7 +160,7 @@ Size_DblN_end_logit_AFSC_triennial(9) -999 0 Fix 0 Size_DblN_peak_AFSC_slope(10) 59.0785 1.87676 Act 0.454379 Size_DblN_top_logit_AFSC_slope(10) -1.02634 0.311114 Act 0.664472 Size_DblN_ascend_se_AFSC_slope(10) 5.63834 0.195345 Act 0.602396 -Size_DblN_descend_se_AFSC_slope(10) 4.98179 0.876809 Act 0.410693 +Size_DblN_descend_se_AFSC_slope(10) 4.98179 0.87681 Act 0.410694 Size_DblN_start_logit_AFSC_slope(10) -5 0 Fix 0 Size_DblN_end_logit_AFSC_slope(10) -999 0 Fix 0 Size_DblN_peak_NWFSC_shelf_slope(11) 57.1978 2.33316 Act 0.371978 @@ -227,129 +227,129 @@ LnQ_base_AFSC_triennial(9)_DEVmult_2003 0 0 FIX 0.5 LnQ_base_AFSC_triennial(9)_DEVmult_2004 0 0 FIX 0.5 #_Derived_Quantities #_Spawn_Bio -SSB_Virgin 25571.2 9068 -SSB_Initial 25571.2 9068 -SSB_1980 25571.2 9068 -SSB_1981 25326.1 9069.34 -SSB_1982 25045.7 9070.61 -SSB_1983 24782.5 9071.52 -SSB_1984 24639 9071.8 -SSB_1985 24372.7 9072.34 -SSB_1986 24091.3 9072.61 -SSB_1987 23838 9072.51 -SSB_1988 23606.1 9072.12 -SSB_1989 23341.5 9071.47 -SSB_1990 23113.1 9070.54 -SSB_1991 22872.6 9069.32 -SSB_1992 22709.7 9068.09 -SSB_1993 22594.7 9066.91 -SSB_1994 22473.6 9065.58 -SSB_1995 22408 9064.45 -SSB_1996 22188.6 9062.28 -SSB_1997 21957.2 9059.82 -SSB_1998 21748.8 9057.34 -SSB_1999 21558.5 9054.9 -SSB_2000 21371.4 9052.43 -SSB_2001 21165.1 9049.66 -SSB_2002 20969.7 9046.95 -SSB_2003 20798 9044.53 -SSB_2004 20644.1 9042.34 -SSB_2005 20418.4 9039.11 -SSB_2006 20091.8 9034.33 -SSB_2007 19926.5 9032.15 -SSB_2008 19827 9031.18 -SSB_2009 19645.5 9028.86 -SSB_2010 19570.2 9028.58 -SSB_2011 19471.5 9027.98 -SSB_2012 19095.9 8824.19 -SSB_2013 18731.1 8625.81 -SSB_2014 18376.8 8432.77 -SSB_2015 18032.4 8245 -SSB_2016 17697.9 8062.42 -SSB_2017 17372.8 7884.98 -SSB_2018 17057 7712.64 -SSB_2019 16750.3 7545.37 -SSB_2020 16452.3 7383.12 -SSB_2021 16163 7225.88 -SSB_2022 15882.2 7073.63 +SSB_Virgin 25571.2 9068.02 +SSB_Initial 25571.2 9068.02 +SSB_1980 25571.2 9068.02 +SSB_1981 25326.1 9069.35 +SSB_1982 25045.7 9070.62 +SSB_1983 24782.5 9071.54 +SSB_1984 24639 9071.81 +SSB_1985 24372.8 9072.35 +SSB_1986 24091.3 9072.62 +SSB_1987 23838 9072.52 +SSB_1988 23606.1 9072.14 +SSB_1989 23341.5 9071.48 +SSB_1990 23113.2 9070.55 +SSB_1991 22872.6 9069.33 +SSB_1992 22709.7 9068.1 +SSB_1993 22594.7 9066.92 +SSB_1994 22473.7 9065.59 +SSB_1995 22408 9064.46 +SSB_1996 22188.6 9062.29 +SSB_1997 21957.2 9059.83 +SSB_1998 21748.8 9057.35 +SSB_1999 21558.6 9054.91 +SSB_2000 21371.4 9052.44 +SSB_2001 21165.2 9049.68 +SSB_2002 20969.7 9046.97 +SSB_2003 20798 9044.54 +SSB_2004 20644.1 9042.35 +SSB_2005 20418.4 9039.12 +SSB_2006 20091.8 9034.34 +SSB_2007 19926.5 9032.16 +SSB_2008 19827 9031.19 +SSB_2009 19645.5 9028.87 +SSB_2010 19570.2 9028.59 +SSB_2011 19471.5 9028 +SSB_2012 19095.9 8824.2 +SSB_2013 18731.2 8625.83 +SSB_2014 18376.8 8432.79 +SSB_2015 18032.5 8245.01 +SSB_2016 17697.9 8062.43 +SSB_2017 17372.9 7884.99 +SSB_2018 17057 7712.66 +SSB_2019 16750.3 7545.38 +SSB_2020 16452.3 7383.13 +SSB_2021 16163 7225.89 +SSB_2022 15882.2 7073.64 #_Recruitment Recr_Virgin 8545.17 3030.27 Recr_Initial 8545.17 3030.27 Recr_1980 8545.19 3030.27 Recr_1981 8498.92 3030.62 Recr_1982 8445.33 3031.21 -Recr_1983 8394.38 3031.95 -Recr_1984 8366.33 3032.41 +Recr_1983 8394.38 3031.96 +Recr_1984 8366.33 3032.42 Recr_1985 8313.79 3033.46 -Recr_1986 8257.53 3034.76 -Recr_1987 8206.27 3036.11 -Recr_1988 8158.82 3037.47 -Recr_1989 8104.05 3039.21 -Recr_1990 8056.25 3040.84 -Recr_1991 8005.36 3042.7 +Recr_1986 8257.53 3034.77 +Recr_1987 8206.28 3036.11 +Recr_1988 8158.83 3037.47 +Recr_1989 8104.05 3039.22 +Recr_1990 8056.26 3040.84 +Recr_1991 8005.37 3042.7 Recr_1992 7970.57 3043.99 -Recr_1993 7945.86 3044.89 -Recr_1994 7919.71 3045.87 +Recr_1993 7945.87 3044.89 +Recr_1994 7919.72 3045.88 Recr_1995 7905.47 3046.34 Recr_1996 7857.58 3048.35 -Recr_1997 7806.54 3050.62 -Recr_1998 7760.13 3052.78 -Recr_1999 7717.38 3054.84 -Recr_2000 7674.97 3056.99 +Recr_1997 7806.55 3050.63 +Recr_1998 7760.14 3052.78 +Recr_1999 7717.38 3054.85 +Recr_2000 7674.98 3057 Recr_2001 7627.83 3059.5 -Recr_2002 7582.75 3062 -Recr_2003 7542.83 3064.31 -Recr_2004 7506.81 3066.47 +Recr_2002 7582.76 3062.01 +Recr_2003 7542.84 3064.31 +Recr_2004 7506.82 3066.47 Recr_2005 7453.53 3069.8 -Recr_2006 7375.5 3074.93 -Recr_2007 7335.57 3077.75 -Recr_2008 7311.41 3079.58 -Recr_2009 7267.06 3082.9 +Recr_2006 7375.5 3074.94 +Recr_2007 7335.57 3077.76 +Recr_2008 7311.42 3079.59 +Recr_2009 7267.07 3082.9 Recr_2010 7248.55 3084.48 -Recr_2011 7224.21 3086.53 +Recr_2011 7224.22 3086.54 Recr_2012 7130.65 3044.11 -Recr_2013 7038.32 3001.82 +Recr_2013 7038.32 3001.83 Recr_2014 6947.24 2959.72 Recr_2015 6857.44 2917.86 -Recr_2016 6768.93 2876.29 -Recr_2017 6681.74 2835.08 -Recr_2018 6595.9 2794.26 -Recr_2019 6511.43 2753.9 +Recr_2016 6768.94 2876.3 +Recr_2017 6681.75 2835.08 +Recr_2018 6595.91 2794.27 +Recr_2019 6511.44 2753.91 Recr_2020 6428.37 2714.06 -Recr_2021 6346.74 2674.77 +Recr_2021 6346.74 2674.78 Recr_2022 6266.57 2636.11 #_SPR Basis= 1-SPR -SPRratio_1980 0.291348 0.0818686 -SPRratio_1981 0.321808 0.088344 -SPRratio_1982 0.307834 0.0863842 +SPRratio_1980 0.291348 0.0818687 +SPRratio_1981 0.321808 0.0883441 +SPRratio_1982 0.307834 0.0863843 SPRratio_1983 0.192603 0.0605112 -SPRratio_1984 0.322863 0.0907485 -SPRratio_1985 0.335082 0.0936155 +SPRratio_1984 0.322863 0.0907486 +SPRratio_1985 0.335082 0.0936156 SPRratio_1986 0.311772 0.0898792 SPRratio_1987 0.305569 0.0897538 SPRratio_1988 0.334518 0.0959486 SPRratio_1989 0.30889 0.0918281 -SPRratio_1990 0.325754 0.0959739 -SPRratio_1991 0.248665 0.0793429 +SPRratio_1990 0.325754 0.095974 +SPRratio_1991 0.248665 0.079343 SPRratio_1992 0.195682 0.0656397 SPRratio_1993 0.207449 0.0691296 SPRratio_1994 0.142748 0.0502991 -SPRratio_1995 0.326733 0.0982295 +SPRratio_1995 0.326733 0.0982296 SPRratio_1996 0.344884 0.102595 SPRratio_1997 0.330309 0.100619 -SPRratio_1998 0.317857 0.0987728 +SPRratio_1998 0.317857 0.0987729 SPRratio_1999 0.318181 0.0994563 SPRratio_2000 0.344368 0.105596 -SPRratio_2001 0.339405 0.105415 +SPRratio_2001 0.339404 0.105415 SPRratio_2002 0.318828 0.101787 -SPRratio_2003 0.305227 0.0994006 +SPRratio_2003 0.305227 0.0994007 SPRratio_2004 0.38833 0.116942 SPRratio_2005 0.483666 0.131159 SPRratio_2006 0.338998 0.110019 SPRratio_2007 0.265333 0.0929891 SPRratio_2008 0.366006 0.116828 SPRratio_2009 0.24348 0.0880638 -SPRratio_2010 0.278068 0.0978509 +SPRratio_2010 0.278067 0.0978509 SPRratio_2011 0.546144 0.000330845 SPRratio_2012 0.546144 0.000330845 SPRratio_2013 0.546144 0.000330845 @@ -367,32 +367,32 @@ F_1980 0.0082276 0.00291765 F_1981 0.00933703 0.00333608 F_1982 0.0088173 0.00317666 F_1983 0.00500679 0.00181761 -F_1984 0.00934378 0.00340571 -F_1985 0.00981068 0.00360428 -F_1986 0.0089327 0.00330841 +F_1984 0.00934377 0.00340571 +F_1985 0.00981067 0.00360428 +F_1986 0.00893269 0.00330841 F_1987 0.00868099 0.00323811 F_1988 0.00975879 0.00366517 -F_1989 0.00879037 0.00332675 -F_1990 0.00940381 0.00358272 +F_1989 0.00879036 0.00332675 +F_1990 0.0094038 0.00358272 F_1991 0.00671317 0.00257592 F_1992 0.00505996 0.00195044 F_1993 0.00541404 0.00209323 -F_1994 0.00354718 0.00137603 -F_1995 0.00943052 0.0036644 +F_1994 0.00354717 0.00137603 +F_1995 0.00943051 0.00366441 F_1996 0.0101151 0.00395823 F_1997 0.00955272 0.00376666 -F_1998 0.00908763 0.00360857 -F_1999 0.00909816 0.0036365 +F_1998 0.00908762 0.00360857 +F_1999 0.00909815 0.0036365 F_2000 0.0100789 0.00405471 -F_2001 0.00988489 0.00400594 -F_2002 0.00911287 0.00371937 -F_2003 0.00861804 0.00353973 +F_2001 0.00988488 0.00400594 +F_2002 0.00911286 0.00371937 +F_2003 0.00861803 0.00353973 F_2004 0.0118305 0.00488769 F_2005 0.0162606 0.00677716 F_2006 0.00984621 0.00415641 F_2007 0.0072273 0.00307146 F_2008 0.0108971 0.00465103 -F_2009 0.00651292 0.0028012 +F_2009 0.00651291 0.0028012 F_2010 0.0076561 0.00330485 F_2011 0.0197484 0.000141961 F_2012 0.0197212 0.000138853 @@ -415,11 +415,11 @@ Bratio_1985 0.953132 0.0167929 Bratio_1986 0.942124 0.0207073 Bratio_1987 0.932219 0.0242163 Bratio_1988 0.923151 0.0274169 -Bratio_1989 0.912802 0.0310613 +Bratio_1989 0.912803 0.0310613 Bratio_1990 0.903874 0.0341911 Bratio_1991 0.894468 0.0374787 -Bratio_1992 0.888095 0.0396902 -Bratio_1993 0.883598 0.0412381 +Bratio_1992 0.888096 0.0396902 +Bratio_1993 0.883599 0.0412381 Bratio_1994 0.878865 0.0428643 Bratio_1995 0.876296 0.0437306 Bratio_1996 0.867719 0.0466871 @@ -430,19 +430,19 @@ Bratio_2000 0.83576 0.0576344 Bratio_2001 0.827694 0.0603864 Bratio_2002 0.82005 0.062991 Bratio_2003 0.813335 0.0652775 -Bratio_2004 0.807318 0.0673254 +Bratio_2004 0.807318 0.0673255 Bratio_2005 0.798491 0.0703291 Bratio_2006 0.78572 0.0746708 Bratio_2007 0.779254 0.0768786 -Bratio_2008 0.775364 0.0782197 +Bratio_2008 0.775365 0.0782197 Bratio_2009 0.768267 0.0806461 Bratio_2010 0.76532 0.08168 -Bratio_2011 0.761461 0.083025 +Bratio_2011 0.761462 0.0830251 Bratio_2012 0.746775 0.0802637 -Bratio_2013 0.732509 0.077565 +Bratio_2013 0.732509 0.0775651 Bratio_2014 0.718651 0.0749311 Bratio_2015 0.705186 0.0723635 -Bratio_2016 0.692102 0.0698639 +Bratio_2016 0.692103 0.0698639 Bratio_2017 0.679391 0.067434 Bratio_2018 0.667041 0.0650753 Bratio_2019 0.655044 0.0627893 @@ -450,51 +450,51 @@ Bratio_2020 0.643392 0.0605776 Bratio_2021 0.632079 0.0584419 Bratio_2022 0.621097 0.0563838 #_Mgmt_Quantity -SSB_unfished 25571.2 9068 +SSB_unfished 25571.2 9068.02 Totbio_unfished 110527 39194.7 SmryBio_unfished 109954 38991.5 Recr_unfished 8545.17 3030.27 -SSB_Btgt 10228.5 3627.2 -SPR_Btgt 0.768692 3.74788e-18 +SSB_Btgt 10228.5 3627.21 +SPR_Btgt 0.768692 7.08688e-17 annF_Btgt 0.00605316 2.61096e-05 Dead_Catch_Btgt 304.174 107.027 -SSB_SPR -21000.2 7447.05 +SSB_SPR 4.76185e-13 1.68864e-13 annF_SPR 0.0186078 5.37201e-05 -Dead_Catch_SPR -2576.64 906.251 -SSB_MSY 12018.7 4262.32 +Dead_Catch_SPR 4.07596e-14 1.4575e-14 +SSB_MSY 12018.8 4262.33 SPR_MSY 0.792654 1.93994e-05 annF_MSY 0.00534177 2.38855e-05 -Dead_Catch_MSY 310.417 109.225 -Ret_Catch_MSY 310.417 109.225 +Dead_Catch_MSY 310.418 109.225 +Ret_Catch_MSY 310.418 109.225 B_MSY/SSB_unfished 0.470011 5.58206e-05 -ForeCatch_2011 1778.9 773.345 -ForeCatch_2012 1749.09 757.843 -ForeCatch_2013 1720.26 742.96 -ForeCatch_2014 1692.38 728.691 -ForeCatch_2015 1665.44 715.028 -ForeCatch_2016 1639.41 701.958 -ForeCatch_2017 1614.26 689.466 -ForeCatch_2018 1589.96 677.532 -ForeCatch_2019 1566.49 666.133 -ForeCatch_2020 1543.79 655.241 -ForeCatch_2021 1521.84 644.826 -ForeCatch_2022 1500.58 634.855 -OFLCatch_2011 1778.9 773.345 -OFLCatch_2012 1749.09 757.843 -OFLCatch_2013 1720.26 742.96 -OFLCatch_2014 1692.38 728.691 -OFLCatch_2015 1665.44 715.028 -OFLCatch_2016 1639.41 701.958 -OFLCatch_2017 1614.26 689.466 -OFLCatch_2018 1589.96 677.532 -OFLCatch_2019 1566.49 666.133 -OFLCatch_2020 1543.79 655.241 -OFLCatch_2021 1521.84 644.826 -OFLCatch_2022 1500.58 634.855 +ForeCatch_2011 1778.9 773.346 +ForeCatch_2012 1749.09 757.844 +ForeCatch_2013 1720.26 742.961 +ForeCatch_2014 1692.38 728.692 +ForeCatch_2015 1665.44 715.029 +ForeCatch_2016 1639.41 701.959 +ForeCatch_2017 1614.26 689.467 +ForeCatch_2018 1589.96 677.533 +ForeCatch_2019 1566.49 666.134 +ForeCatch_2020 1543.79 655.242 +ForeCatch_2021 1521.84 644.827 +ForeCatch_2022 1500.58 634.856 +OFLCatch_2011 1778.9 773.346 +OFLCatch_2012 1749.09 757.844 +OFLCatch_2013 1720.26 742.961 +OFLCatch_2014 1692.38 728.692 +OFLCatch_2015 1665.44 715.029 +OFLCatch_2016 1639.41 701.959 +OFLCatch_2017 1614.26 689.467 +OFLCatch_2018 1589.96 677.533 +OFLCatch_2019 1566.49 666.134 +OFLCatch_2020 1543.79 655.242 +OFLCatch_2021 1521.84 644.827 +OFLCatch_2022 1500.58 634.856 #_Extra_stdev ln(SPB)_1980 10.1492 0.354618 -ln(SPB)_1995 10.0172 0.404519 -ln(SPB)_2010 9.88176 0.461344 +ln(SPB)_1995 10.0172 0.40452 +ln(SPB)_2010 9.88176 0.461345 SmryBio_Virgin 109954 0.0 SmryBio_Initial 109954 0.0 SmryBio_1980 109954 0.0 @@ -509,37 +509,37 @@ SmryBio_1988 103761 0.0 SmryBio_1989 102965 0.0 SmryBio_1990 102276 0.0 SmryBio_1991 101546 0.0 -SmryBio_1992 101082 0.0 +SmryBio_1992 101083 0.0 SmryBio_1993 100780 0.0 SmryBio_1994 100447 0.0 SmryBio_1995 100286 0.0 -SmryBio_1996 99583.3 0.0 +SmryBio_1996 99583.4 0.0 SmryBio_1997 98831.9 0.0 -SmryBio_1998 98143.7 0.0 -SmryBio_1999 97509.5 0.0 -SmryBio_2000 96887.5 0.0 -SmryBio_2001 96188.6 0.0 -SmryBio_2002 95519.6 0.0 -SmryBio_2003 94931.1 0.0 +SmryBio_1998 98143.8 0.0 +SmryBio_1999 97509.6 0.0 +SmryBio_2000 96887.6 0.0 +SmryBio_2001 96188.7 0.0 +SmryBio_2002 95519.7 0.0 +SmryBio_2003 94931.2 0.0 SmryBio_2004 94393.9 0.0 -SmryBio_2005 93583.9 0.0 -SmryBio_2006 92411.4 0.0 +SmryBio_2005 93584 0.0 +SmryBio_2006 92411.5 0.0 SmryBio_2007 91813.7 0.0 SmryBio_2008 91445.5 0.0 SmryBio_2009 90770.8 0.0 SmryBio_2010 90472.3 0.0 -SmryBio_2011 90078 0.0 +SmryBio_2011 90078.1 0.0 SmryBio_2012 88691 0.0 SmryBio_2013 87349.3 0.0 SmryBio_2014 86050.7 0.0 SmryBio_2015 84793.1 0.0 -SmryBio_2016 83574.2 0.0 -SmryBio_2017 82391.8 0.0 -SmryBio_2018 81243.8 0.0 -SmryBio_2019 80128 0.0 +SmryBio_2016 83574.3 0.0 +SmryBio_2017 82391.9 0.0 +SmryBio_2018 81243.9 0.0 +SmryBio_2019 80128.1 0.0 SmryBio_2020 79042.4 0.0 -SmryBio_2021 77984.8 0.0 -SmryBio_2022 76953.6 0.0 +SmryBio_2021 77984.9 0.0 +SmryBio_2022 76953.7 0.0 #_survey_stdev 0 #_Biomass TotBio_Virgin 110527 0.0 @@ -562,29 +562,29 @@ TotBio_1994 100978 0.0 TotBio_1995 100816 0.0 TotBio_1996 100110 0.0 TotBio_1997 99355.4 0.0 -TotBio_1998 98664.1 0.0 -TotBio_1999 98027 0.0 -TotBio_2000 97402.2 0.0 -TotBio_2001 96700.1 0.0 -TotBio_2002 96028.1 0.0 -TotBio_2003 95436.9 0.0 +TotBio_1998 98664.2 0.0 +TotBio_1999 98027.1 0.0 +TotBio_2000 97402.3 0.0 +TotBio_2001 96700.2 0.0 +TotBio_2002 96028.2 0.0 +TotBio_2003 95437 0.0 TotBio_2004 94897.3 0.0 TotBio_2005 94083.8 0.0 -TotBio_2006 92906 0.0 -TotBio_2007 92305.6 0.0 +TotBio_2006 92906.1 0.0 +TotBio_2007 92305.7 0.0 TotBio_2008 91935.8 0.0 -TotBio_2009 91258.1 0.0 -TotBio_2010 90958.3 0.0 +TotBio_2009 91258.2 0.0 +TotBio_2010 90958.4 0.0 TotBio_2011 90562.5 0.0 TotBio_2012 89169.2 0.0 -TotBio_2013 87821.2 0.0 +TotBio_2013 87821.3 0.0 TotBio_2014 86516.6 0.0 -TotBio_2015 85252.9 0.0 -TotBio_2016 84028.1 0.0 -TotBio_2017 82839.9 0.0 +TotBio_2015 85253 0.0 +TotBio_2016 84028.2 0.0 +TotBio_2017 82840 0.0 TotBio_2018 81686.2 0.0 TotBio_2019 80564.7 0.0 -TotBio_2020 79473.4 0.0 +TotBio_2020 79473.5 0.0 TotBio_2021 78410.5 0.0 TotBio_2022 77373.9 0.0 TotCatch_Virgin 0 0.0 diff --git a/models/Spinydogfish_2011/starter.ss b/models/Spinydogfish_2011/starter.ss index 6e36287..f0bad08 100644 --- a/models/Spinydogfish_2011/starter.ss +++ b/models/Spinydogfish_2011/starter.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -8,9 +8,9 @@ Spiny_Dogfish.DAT Spiny_Dogfish.CTL 0 # 0=use init values in control file; 1=use ss.par -0 # run display detail (0,1,2) +0 # run display detail (0 = minimal; 1=one line per iter; 2=each logL) 2 # detailed output (0=minimal for data-limited, 1=high (w/ wtatage.ss_new), 2=brief, 3=custom) -# custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end +#COND: custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end 0 # write 1st iteration details to echoinput.sso file (0,1) 0 # write parm values to ParmTrace.sso (0=no,1=good,active; 2=good,all; 3=every_iter,all_parms; 4=every,active) 1 # write to cumreport.sso (0=no,1=like×eries; 2=add survey fits) @@ -26,7 +26,7 @@ Spiny_Dogfish.CTL 1914 # min yr for sdreport outputs (-1 for styr); #_1978 2022 # max yr for sdreport outputs (-1 for endyr+1; -2 for endyr+Nforecastyrs); #_2022 0 # N individual STD years -#vector of year values +#COND: vector of year values if N>0 0.0001 # final convergence criteria (e.g. 1.0e-04) 0 # retrospective year relative to end year (e.g. -4) @@ -34,10 +34,10 @@ Spiny_Dogfish.CTL 1 # Depletion basis: denom is: 0=skip; 1=X*SPBvirgin; 2=X*SPBmsy; 3=X*SPB_styr; 4=X*SPB_endyr; 5=X*dyn_Bzero; values>=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) 1 # Fraction (X) for Depletion denominator (e.g. 0.4) 4 # SPR_report_basis: 0=skip; 1=(1-SPR)/(1-SPR_tgt); 2=(1-SPR)/(1-SPR_MSY); 3=(1-SPR)/(1-SPR_Btarget); 4=rawSPR -1 # F_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=true F for range of ages; 5=unweighted avg. F for range of ages -#COND 10 15 #_min and max age over which average F will be calculated with F_reporting=4 or 5 -0 # F_std_basis: 0=raw_annual_F; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual_F; values >=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) +1 # F_std_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=mean F for range of ages (numbers weighted); 5=unweighted mean F for range of ages +#COND 10 15 #_min and max age over which mean F will be calculated with F_reporting=4 or 5 +0 # F_std_scaling: 0=no scaling; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual F_std, Fmsy means F_std@msy; values >=11 invoke N multiyr (up to 9!) using 10's digit; >100 invokes log(ratio) 0 # MCMC output detail: integer part (0=default; 1=adds obj func components; 2= +write_report_for_each_mceval); and decimal part (added to SR_LN(R0) on first call to mcmc) -0 # ALK tolerance ***disabled in code (example 0.0001) --1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1676418466 +0 # ALK tolerance ***disabled in code +-1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1698772186 3.30 # check value for end of file and for version control diff --git a/models/Spinydogfish_2011/warning.sso b/models/Spinydogfish_2011/warning.sso index 2f434f5..154e318 100644 --- a/models/Spinydogfish_2011/warning.sso +++ b/models/Spinydogfish_2011/warning.sso @@ -8,8 +8,9 @@ Warning 7 : fishing fleet: 7 surveytime read as: 1 normally is -1 for fishing fl Warning 8 : fishing fleet: 8 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month Note 1 Information: Max data length bin: 132 < max pop len bins: 136; so will accumulate larger pop len bins Note 2 Suggestion: This model has just one settlement event. Changing to recr_dist_method 4 and removing the recruitment distribution parameters at the end of the MG parms section (below growth parameters) will produce identical results and simplify the model. -Warning 9 : fleet: 1 lencomp has obs with partition==2; will treat as partition=0 because retention not defined; N= 4 -Warning 10 : fleet: 3 lencomp has obs with partition==2; will treat as partition=0 because retention not defined; N= 6 -Warning 11 : fleet: 5 lencomp has obs with partition==2; will treat as partition=0 because retention not defined; N= 6 +Warning 9 : fleet: 1 lencomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 4 +Warning 10 : fleet: 3 lencomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 6 +Warning 11 : fleet: 5 lencomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 6 Warning 12 : Fmsy/mey is <1/3 of Fspr are you sure? check for convergence - 12 warnings and 2 notes +Note 3 Information: A revised protocol for the Fcast_yr specification is available and recommended. + 12 warnings and 3 notes diff --git a/models/growth_timevary/Example_1_control.SS b/models/growth_timevary/Example_1_control.SS index 88cc704..de44a2b 100644 --- a/models/growth_timevary/Example_1_control.SS +++ b/models/growth_timevary/Example_1_control.SS @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -10,6 +10,7 @@ 1 #_N_Growth_Patterns (Growth Patterns, Morphs, Bio Patterns, GP are terms used interchangeably in SS3) 1 #_N_platoons_Within_GrowthPattern #_Cond 1 #_Platoon_within/between_stdev_ratio (no read if N_platoons=1) +#_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # 2 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) @@ -57,8 +58,8 @@ #_no additional input for selected M option; read 1P per morph # 1 # GrowthModel: 1=vonBert with L1&L2; 2=Richards with L1&L2; 3=age_specific_K_incr; 4=age_specific_K_decr; 5=age_specific_K_each; 6=NA; 7=NA; 8=growth cessation -2 #_Age(post-settlement)_for_L1;linear growth below this -12 #_Growth_Age_for_L2 (999 to use as Linf) +2 #_Age(post-settlement) for L1 (aka Amin); first growth parameter is size at this age; linear growth below this +12 #_Age(post-settlement) for L2 (aka Amax); 999 to treat as Linf -999 #_exponential decay for growth above maxage (value should approx initial Z; -999 replicates 3.24; -998 to not allow growth above maxage) 0 #_placeholder for future growth feature # @@ -98,6 +99,7 @@ # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement +# Platoon StDev Ratio # Age Error from parameters # catch multiplier # fraction female, by GP @@ -127,7 +129,7 @@ 0 2 0 1 99 0 -50 0 0 0 0 0 0 0 # SR_autocorr #_no timevary SR parameters 1 #do_recdev: 0=none; 1=devvector (R=F(SSB)+dev); 2=deviations (R=F(SSB)+dev); 3=deviations (R=R0*dev; dev2=R-f(SSB)); 4=like 3 with sum(dev2) adding penalty -1962 # first year of main recr_devs; early devs can preceed this era +1962 # first year of main recr_devs; early devs can precede this era 2008 # last year of main recr_devs; forecast devs start in following year -1 #_recdev phase 1 # (0/1) to read 13 advanced options @@ -203,7 +205,7 @@ #Pattern:_11; parm=2; selex=1.0 for specified min-max population length bin range #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_6; parm=2+special; non-parm len selex -#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (average over bin range) +#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (mean over bin range) #Pattern:_8; parm=8; double_logistic with smooth transitions and constant above Linf option #Pattern:_9; parm=6; simple 4-parm double logistic with starting length; parm 5 is first length; parm 6=1 does desc as offset #Pattern:_21; parm=2+special; non-parm len selex, read as pairs of size, then selex @@ -213,7 +215,7 @@ #Pattern:_2; parm=6; double_normal with sel(minL) and sel(maxL), using joiners, back compatibile version of 24 with 3.30.18 and older #Pattern:_25; parm=3; exponential-logistic in length #Pattern:_27; parm=special+3; cubic spline in length; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (mean over bin range) #_discard_options:_0=none;_1=define_retention;_2=retention&mortality;_3=all_discarded_dead;_4=define_dome-shaped_retention #_Pattern Discard Male Special 0 0 0 0 # 1 Fish1 @@ -236,13 +238,13 @@ #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_16; parm=2; Coleraine - Gaussian #Pattern:_17; parm=nages+1; empirical as random walk N parameters to read can be overridden by setting special to non-zero -#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (average over bin range) +#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (mean over bin range) #Pattern:_18; parm=8; double logistic - smooth transition #Pattern:_19; parm=6; simple 4-parm double logistic with starting age #Pattern:_20; parm=6; double_normal,using joiners #Pattern:_26; parm=3; exponential-logistic in age #Pattern:_27; parm=3+special; cubic spline in age; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (mean over bin range) #Age patterns entered with value >100 create Min_selage from first digit and pattern from remainder #_Pattern Discard Male Special 20 0 0 0 # 1 Fish1 @@ -326,8 +328,12 @@ -10 10 0.313529 0 99 0 3 # Age_DblN_ascend_se_Fish2(2)_BLK7add_2005 # info on dev vectors created for selex parms are reported with other devs after tag parameter section # -0 # use 2D_AR1 selectivity(0/1) +0 # use 2D_AR1 selectivity? (0/1) #_no 2D_AR1 selex offset used +#_specs: fleet, ymin, ymax, amin, amax, sigma_amax, use_rho, len1/age2, devphase, before_range, after_range +#_sigma_amax>amin means create sigma parm for each bin from min to sigma_amax; sigma_amax<0 means just one sigma parm is read and used for all bins +#_needed parameters follow each fleet's specifications +# -9999 0 0 0 0 0 0 0 0 0 0 # terminator # # Tag loss and Tag reporting parameters go next 0 # TG_custom: 0=no read and autogen if tag data exist; 1=read diff --git a/models/growth_timevary/Example_1_data.SS b/models/growth_timevary/Example_1_data.SS index 2b48dc7..b537c11 100644 --- a/models/growth_timevary/Example_1_data.SS +++ b/models/growth_timevary/Example_1_data.SS @@ -1,21 +1,21 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov #_User_info_available_at:https://vlab.noaa.gov/group/stock-synthesis #_Source_code_at:_https://github.com/nmfs-stock-synthesis/stock-synthesis -#_Start_time: Tue Feb 14 23:24:41 2023 +#_Start_time: Tue Oct 31 16:38:59 2023 #_echo_input_data -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 1960 #_StartYr 2009 #_EndYr 1 #_Nseas 12 #_months/season 2 #_Nsubseasons (even number, minimum is 2) 1 #_spawn_month -1 #_Ngenders: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) +1 #_Nsexes: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) 15 #_Nages=accumulator age, first age is always age 0 1 #_Nareas 9 #_Nfleets (including surveys) @@ -213,7 +213,7 @@ 1 # use length composition data (0/1/2) where 2 invokes new comp_control format #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie @@ -316,7 +316,7 @@ 0.329242 0.329242 0.346917 0.368632 0.31625 0.42809 0.468362 0.517841 0.57863 0.653316 0.409792 0.857813 0.996322 1.1665 1.37557 1.63244 #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie diff --git a/models/growth_timevary/forecast.ss b/models/growth_timevary/forecast.ss index 028a6fe..260613a 100644 --- a/models/growth_timevary/forecast.ss +++ b/models/growth_timevary/forecast.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #C this is a quick and dirty generic forecast file: note at all related to any particular model #C fleet-specific entries will need modification # for all year entries except rebuilder; enter either: actual year, -999 for styr, 0 for endyr, neg number for rel. endyr @@ -17,27 +17,47 @@ # where none and simple require no input after this line; simple sets forecast F same as end year F 3 # N forecast years 0.2 # Fmult (only used for Do_Forecast==5) such that apical_F(f)=Fmult*relF(f) -#_Fcast_years: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) +#_Fcast_years for averaging: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) 1995 2001 -10 0 -999 0 # 1995 2001 1999 2009 1960 2009 -0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from annual time-vary parms) +0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from time-vary parms). NOTE: logic reverses in new format +# A revised protocol for the Fcast_yr specification is available and recommended. Template is below. +# +#-12345 # code to invoke new format for expanded fcast year controls +# biology and selectivity vectors are updated annually in the forecast according to timevary parameters, so check end year of blocks and dev vectors +# input in this section directs creation of means over historical years to override any time_vary changes +# Factors implemented so far: 1=M, 4=recr_dist, 5=migration, 10=selectivity, 11=rel_F, 12=recruitment +# rel_F and Recruitment also have additional controls later in forecast.ss +# input as list: Factor, method (0, 1), st_yr, end_yr +# Terminate with -9999 for Factor +# st_yr and end_yr input can be actual year; <=0 sets rel. to timeseries endyr; Except -999 for st_yr sets to first year if time series +# Method = 0 (or omitted) continue using time_vary parms; 1 use mean of derived factor over specified year range +# Factor method st_yr end_yr +# 10 1 1995 2001 # selectivity; use: 10 1 1995 2001 +# 11 1 -10 0 # rel_F; use: 11 1 -10 0 +# 12 1 -999 0 # recruitment; use: 12 1 -999 0 +#-9999 0 0 0 +# 1 # Control rule method (0: none; 1: ramp does catch=f(SSB), buffer on F; 2: ramp does F=f(SSB), buffer on F; 3: ramp does catch=f(SSB), buffer on catch; 4: ramp does F=f(SSB), buffer on catch) # values for top, bottom and buffer exist, but not used when Policy=0 0.4 # Control rule inflection for constant F (as frac of Bzero, e.g. 0.40); must be > control rule cutoff, or set to -1 to use Bmsy/SSB_unf 0.1 # Control rule cutoff for no F (as frac of Bzero, e.g. 0.10) 0.75 # Buffer: enter Control rule target as fraction of Flimit (e.g. 0.75), negative value invokes list of [year, scalar] with filling from year to YrMax +# 3 #_N forecast loops (1=OFL only; 2=ABC; 3=get F from forecast ABC catch with allocations applied) -3 #_First forecast loop with stochastic recruitment -0 #_Forecast recruitment: 0= spawn_recr; 1=value*spawn_recr_fxn; 2=value*VirginRecr; 3=recent mean from yr range above (need to set phase to -1 in control to get constant recruitment in MCMC) -1 # value is ignored --1 #_Forecast loop control #5 (reserved for future bells&whistles) -2004 #FirstYear for caps and allocations (should be after years with fixed inputs) +3 # First forecast loop with stochastic recruitment +0 # Forecast base recruitment: 0= spawn_recr; 1=mult*spawn_recr_fxn; 2=mult*VirginRecr; 3=deprecated; 4=mult*mean_over_yr_range +# for option 4, set phase for fore_recr_devs to -1 in control to get constant mean in MCMC, else devs will be applied +1 # Value multiplier is ignored +-1 # not used +# +2004 # FirstYear for caps and allocations (should be after years with fixed inputs) 0.1 # stddev of log(realized catch/target catch) in forecast (set value>0.0 to cause active impl_error) 0 # Do West Coast gfish rebuilder output: 0=no; 1=yes 1999 # Rebuilder: first year catch could have been set to zero (Ydecl)(-1 to set to 1999) 2002 # Rebuilder: year for current age structure (Yinit) (-1 to set to endyear+1) -1 # fleet relative F: 1=use first-last alloc year; 2=read seas, fleet, alloc list below -# Note that fleet allocation is used directly as average F if Do_Forecast=4 +1 # fleet relative F: 1=use mean over year range; 2=read seas, fleet, alloc list below +# Note that fleet allocation values is used directly as F if Do_Forecast=4 2 # basis for fcast catch tuning and for fcast catch caps and allocation (2=deadbio; 3=retainbio; 5=deadnum; 6=retainnum); NOTE: same units for all fleets # Conditional input if relative F choice = 2 # enter list of: season, fleet, relF; if used, terminate with season=-9999 diff --git a/models/growth_timevary/ss.par b/models/growth_timevary/ss.par index 54ee290..5936be4 100644 --- a/models/growth_timevary/ss.par +++ b/models/growth_timevary/ss.par @@ -60,7 +60,7 @@ # Q_parm[1]: -0.353137981695 # Q_parm[2]: --9.19354902228 +-9.19354902047 # Q_parm[3]: -10.2797495062 # Q_parm[4]: diff --git a/models/growth_timevary/ss_summary.sso b/models/growth_timevary/ss_summary.sso index b7b2098..cbe1bb4 100644 --- a/models/growth_timevary/ss_summary.sso +++ b/models/growth_timevary/ss_summary.sso @@ -1,7 +1,7 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 Example_1_data.SS #_DataFile Example_1_control.SS #_Control -Run_Date: Tue Feb 14 23:24:22 2023 +Run_Date: Tue Oct 31 16:38:35 2023 Final_phase: 6 N_iterations: 246 #_LIKELIHOOD Label logL*Lambda diff --git a/models/growth_timevary/starter.ss b/models/growth_timevary/starter.ss index fdd5a27..09b65ed 100644 --- a/models/growth_timevary/starter.ss +++ b/models/growth_timevary/starter.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -8,9 +8,9 @@ Example_1_data.SS Example_1_control.SS 0 # 0=use init values in control file; 1=use ss.par -1 # run display detail (0,1,2) +1 # run display detail (0 = minimal; 1=one line per iter; 2=each logL) 2 # detailed output (0=minimal for data-limited, 1=high (w/ wtatage.ss_new), 2=brief, 3=custom) -# custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end +#COND: custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end 0 # write 1st iteration details to echoinput.sso file (0,1) 0 # write parm values to ParmTrace.sso (0=no,1=good,active; 2=good,all; 3=every_iter,all_parms; 4=every,active) 0 # write to cumreport.sso (0=no,1=like×eries; 2=add survey fits) @@ -26,7 +26,7 @@ Example_1_control.SS 1958 # min yr for sdreport outputs (-1 for styr); #_1958 2012 # max yr for sdreport outputs (-1 for endyr+1; -2 for endyr+Nforecastyrs); #_2012 0 # N individual STD years -#vector of year values +#COND: vector of year values if N>0 1e-07 # final convergence criteria (e.g. 1.0e-04) 0 # retrospective year relative to end year (e.g. -4) @@ -34,10 +34,10 @@ Example_1_control.SS 1 # Depletion basis: denom is: 0=skip; 1=X*SPBvirgin; 2=X*SPBmsy; 3=X*SPB_styr; 4=X*SPB_endyr; 5=X*dyn_Bzero; values>=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) 1 # Fraction (X) for Depletion denominator (e.g. 0.4) 1 # SPR_report_basis: 0=skip; 1=(1-SPR)/(1-SPR_tgt); 2=(1-SPR)/(1-SPR_MSY); 3=(1-SPR)/(1-SPR_Btarget); 4=rawSPR -1 # F_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=true F for range of ages; 5=unweighted avg. F for range of ages -#COND 10 15 #_min and max age over which average F will be calculated with F_reporting=4 or 5 -0 # F_std_basis: 0=raw_annual_F; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual_F; values >=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) +1 # F_std_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=mean F for range of ages (numbers weighted); 5=unweighted mean F for range of ages +#COND 10 15 #_min and max age over which mean F will be calculated with F_reporting=4 or 5 +0 # F_std_scaling: 0=no scaling; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual F_std, Fmsy means F_std@msy; values >=11 invoke N multiyr (up to 9!) using 10's digit; >100 invokes log(ratio) 0 # MCMC output detail: integer part (0=default; 1=adds obj func components; 2= +write_report_for_each_mceval); and decimal part (added to SR_LN(R0) on first call to mcmc) -0 # ALK tolerance ***disabled in code (example 0.0001) --1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1676417081 +0 # ALK tolerance ***disabled in code +-1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1698770339 3.30 # check value for end of file and for version control diff --git a/models/growth_timevary/warning.sso b/models/growth_timevary/warning.sso index ef7778b..6e97d86 100644 --- a/models/growth_timevary/warning.sso +++ b/models/growth_timevary/warning.sso @@ -1,6 +1,8 @@ Warning 1 : fishing fleet: 1 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month Warning 2 : fishing fleet: 2 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month Note 1 Suggestion: This model has just one settlement event. Changing to recr_dist_method 4 and removing the recruitment distribution parameters at the end of the MG parms section (below growth parameters) will produce identical results and simplify the model. +Warning 3 : At least one block pattern ends in endyr. Check the output parameter value time series to see if the values in forecast years are as intended. Note 2 Information: Max harvest rate typically is >1.0 for F_method 2, 3 or 4 0.9 -Warning 3 : Setting in starter does not request all priors, and 1 parameters have priors and are not estimated, so their prior not included in obj_fun. - 3 warnings and 2 notes +Warning 4 : Setting in starter does not request all priors, and 1 parameters have priors and are not estimated, so their prior not included in obj_fun. +Note 3 Information: A revised protocol for the Fcast_yr specification is available and recommended. + 4 warnings and 3 notes diff --git a/models/platoons/forecast.ss b/models/platoons/forecast.ss index cf0996f..7f8cafd 100644 --- a/models/platoons/forecast.ss +++ b/models/platoons/forecast.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #C this is a quick and dirty generic forecast file: note at all related to any particular model #C fleet-specific entries will need modification # for all year entries except rebuilder; enter either: actual year, -999 for styr, 0 for endyr, neg number for rel. endyr @@ -17,27 +17,47 @@ # where none and simple require no input after this line; simple sets forecast F same as end year F 3 # N forecast years 0.2 # Fmult (only used for Do_Forecast==5) such that apical_F(f)=Fmult*relF(f) -#_Fcast_years: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) +#_Fcast_years for averaging: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) 1995 2001 -10 0 -999 0 # 1995 2001 1991 2001 1971 2001 -0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from annual time-vary parms) +0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from time-vary parms). NOTE: logic reverses in new format +# A revised protocol for the Fcast_yr specification is available and recommended. Template is below. +# +#-12345 # code to invoke new format for expanded fcast year controls +# biology and selectivity vectors are updated annually in the forecast according to timevary parameters, so check end year of blocks and dev vectors +# input in this section directs creation of means over historical years to override any time_vary changes +# Factors implemented so far: 1=M, 4=recr_dist, 5=migration, 10=selectivity, 11=rel_F, 12=recruitment +# rel_F and Recruitment also have additional controls later in forecast.ss +# input as list: Factor, method (0, 1), st_yr, end_yr +# Terminate with -9999 for Factor +# st_yr and end_yr input can be actual year; <=0 sets rel. to timeseries endyr; Except -999 for st_yr sets to first year if time series +# Method = 0 (or omitted) continue using time_vary parms; 1 use mean of derived factor over specified year range +# Factor method st_yr end_yr +# 10 1 1995 2001 # selectivity; use: 10 1 1995 2001 +# 11 1 -10 0 # rel_F; use: 11 1 -10 0 +# 12 1 -999 0 # recruitment; use: 12 1 -999 0 +#-9999 0 0 0 +# 1 # Control rule method (0: none; 1: ramp does catch=f(SSB), buffer on F; 2: ramp does F=f(SSB), buffer on F; 3: ramp does catch=f(SSB), buffer on catch; 4: ramp does F=f(SSB), buffer on catch) # values for top, bottom and buffer exist, but not used when Policy=0 0.4 # Control rule inflection for constant F (as frac of Bzero, e.g. 0.40); must be > control rule cutoff, or set to -1 to use Bmsy/SSB_unf 0.1 # Control rule cutoff for no F (as frac of Bzero, e.g. 0.10) 0.75 # Buffer: enter Control rule target as fraction of Flimit (e.g. 0.75), negative value invokes list of [year, scalar] with filling from year to YrMax +# 3 #_N forecast loops (1=OFL only; 2=ABC; 3=get F from forecast ABC catch with allocations applied) -3 #_First forecast loop with stochastic recruitment -0 #_Forecast recruitment: 0= spawn_recr; 1=value*spawn_recr_fxn; 2=value*VirginRecr; 3=recent mean from yr range above (need to set phase to -1 in control to get constant recruitment in MCMC) -1 # value is ignored --1 #_Forecast loop control #5 (reserved for future bells&whistles) -2004 #FirstYear for caps and allocations (should be after years with fixed inputs) +3 # First forecast loop with stochastic recruitment +0 # Forecast base recruitment: 0= spawn_recr; 1=mult*spawn_recr_fxn; 2=mult*VirginRecr; 3=deprecated; 4=mult*mean_over_yr_range +# for option 4, set phase for fore_recr_devs to -1 in control to get constant mean in MCMC, else devs will be applied +1 # Value multiplier is ignored +-1 # not used +# +2004 # FirstYear for caps and allocations (should be after years with fixed inputs) 0.1 # stddev of log(realized catch/target catch) in forecast (set value>0.0 to cause active impl_error) 0 # Do West Coast gfish rebuilder output: 0=no; 1=yes 1999 # Rebuilder: first year catch could have been set to zero (Ydecl)(-1 to set to 1999) 2002 # Rebuilder: year for current age structure (Yinit) (-1 to set to endyear+1) -1 # fleet relative F: 1=use first-last alloc year; 2=read seas, fleet, alloc list below -# Note that fleet allocation is used directly as average F if Do_Forecast=4 +1 # fleet relative F: 1=use mean over year range; 2=read seas, fleet, alloc list below +# Note that fleet allocation values is used directly as F if Do_Forecast=4 2 # basis for fcast catch tuning and for fcast catch caps and allocation (2=deadbio; 3=retainbio; 5=deadnum; 6=retainnum); NOTE: same units for all fleets # Conditional input if relative F choice = 2 # enter list of: season, fleet, relF; if used, terminate with season=-9999 diff --git a/models/platoons/platoons_ctl.ss b/models/platoons/platoons_ctl.ss index 53847e5..086c6f2 100644 --- a/models/platoons/platoons_ctl.ss +++ b/models/platoons/platoons_ctl.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -10,12 +10,13 @@ #C Parameters are estimated #C File creation date: 2010-04-29 16:36:06 #C estimation model CaseC -#_data_and_control_files: growth_morphs_dat.ss // growth_morphs_ctl.ss +#_data_and_control_files: platoons_dat.ss // platoons_ctl.ss 0 # 0 means do not read wtatage.ss; 1 means read and use wtatage.ss and also read and use growth parameters 1 #_N_Growth_Patterns (Growth Patterns, Morphs, Bio Patterns, GP are terms used interchangeably in SS3) 5 #_N_platoons_Within_GrowthPattern --1 #_Platoon_within/between_stdev_ratio (no read if N_platoons=1) - -1 1 1 1 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) +-0.357046 #_Platoon_within/between_stdev_ratio (no read if N_platoons=1) +#_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. + 0.031 0.237 0.464 0.237 0.031 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # 2 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) 1 # not yet implemented; Future usage: Spawner-Recruitment: 1=global; 2=by area @@ -57,8 +58,8 @@ 4 15 # age(real) at M breakpoints # 1 # GrowthModel: 1=vonBert with L1&L2; 2=Richards with L1&L2; 3=age_specific_K_incr; 4=age_specific_K_decr; 5=age_specific_K_each; 6=NA; 7=NA; 8=growth cessation -1 #_Age(post-settlement)_for_L1;linear growth below this -25 #_Growth_Age_for_L2 (999 to use as Linf) +1 #_Age(post-settlement) for L1 (aka Amin); first growth parameter is size at this age; linear growth below this +25 #_Age(post-settlement) for L2 (aka Amax); 999 to treat as Linf -999 #_exponential decay for growth above maxage (value should approx initial Z; -999 replicates 3.24; -998 to not allow growth above maxage) 0 #_placeholder for future growth feature # @@ -78,9 +79,9 @@ 0.05 0.15 0.1 0.1 0.8 6 -3 0 0 0 0 0.5 0 0 # NatM_break_1_Fem_GP_1 -3 3 0 0 0.8 6 -3 0 0 0 0 0.5 0 0 # NatM_break_2_Fem_GP_1 # Sex: 1 BioPattern: 1 Growth - 10 45 34.1862 36 10 6 2 0 0 0 0 0.5 0 0 # L_at_Amin_Fem_GP_1 - 40 90 70.2172 70 10 6 2 0 0 0 0 0.5 0 0 # L_at_Amax_Fem_GP_1 - 0.05 0.25 0.163605 0.15 0.8 6 3 0 0 0 0 0.5 0 0 # VonBert_K_Fem_GP_1 + 10 45 34.6724 36 10 6 2 0 0 0 0 0.5 0 0 # L_at_Amin_Fem_GP_1 + 40 90 71.3023 70 10 6 2 0 0 0 0 0.5 0 0 # L_at_Amax_Fem_GP_1 + 0.05 0.25 0.152754 0.15 0.8 6 3 0 0 0 0 0.5 0 0 # VonBert_K_Fem_GP_1 0.05 0.25 0.1 0.1 0.8 6 -3 0 0 0 0 0.5 0 0 # CV_young_Fem_GP_1 -3 3 0.25 0.25 0.8 6 -3 0 0 0 0 0.5 0 0 # CV_old_Fem_GP_1 # Sex: 1 BioPattern: 1 WtLen @@ -111,8 +112,8 @@ # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement -# Platoon StDev Ratio - 0.1 3 1 0 99 0 1 0 0 0 0 0 0 0 # Platoon_SD_Ratio +# Platoon StDev Ratio + 0.1 3 0.357046 0 99 0 1 0 0 0 0 0 0 0 # Platoon_SD_Ratio # Age Error from parameters # catch multiplier # fraction female, by GP @@ -130,14 +131,14 @@ 0 # 0/1 to use steepness in initial equ recruitment calculation 0 # future feature: 0/1 to make realized sigmaR a function of SR curvature #_ LO HI INIT PRIOR PR_SD PR_type PHASE env-var use_dev dev_mnyr dev_mxyr dev_PH Block Blk_Fxn # parm_name - 3 31 10.5877 10.55 10 6 1 0 0 0 0 0 0 0 # SR_LN(R0) - 0.2 1 0.714841 0.6 0.01 1 5 0 0 0 0 0 0 0 # SR_BH_steep + 3 31 10.5901 10.55 10 6 1 0 0 0 0 0 0 0 # SR_LN(R0) + 0.2 1 0.78774 0.6 0.01 1 5 0 0 0 0 0 0 0 # SR_BH_steep 0 2 0.5 0.5 0.8 6 -3 0 0 0 0 0 0 0 # SR_sigmaR -5 5 0 0 1 6 -5 0 0 0 0 0 0 0 # SR_regime 0 2 0 1 50 6 -50 0 0 0 0 0 0 0 # SR_autocorr #_no timevary SR parameters 1 #do_recdev: 0=none; 1=devvector (R=F(SSB)+dev); 2=deviations (R=F(SSB)+dev); 3=deviations (R=R0*dev; dev2=R-f(SSB)); 4=like 3 with sum(dev2) adding penalty -1951 # first year of main recr_devs; early devs can preceed this era +1951 # first year of main recr_devs; early devs can precede this era 2001 # last year of main recr_devs; forecast devs start in following year 2 #_recdev phase 1 # (0/1) to read 13 advanced options @@ -162,7 +163,7 @@ # # all recruitment deviations # 1951R 1952R 1953R 1954R 1955R 1956R 1957R 1958R 1959R 1960R 1961R 1962R 1963R 1964R 1965R 1966R 1967R 1968R 1969R 1970R 1971R 1972R 1973R 1974R 1975R 1976R 1977R 1978R 1979R 1980R 1981R 1982R 1983R 1984R 1985R 1986R 1987R 1988R 1989R 1990R 1991R 1992R 1993R 1994R 1995R 1996R 1997R 1998R 1999R 2000R 2001R 2002F 2003F 2004F -# -0.035244 -0.0433867 -0.0554545 -0.0717586 -0.0911116 -0.108305 -0.109837 -0.0748804 0.0084882 0.104277 0.124309 0.0757452 0.044416 0.0110939 -0.072558 -0.0953589 0.0221306 0.144803 0.0705434 -0.0146059 0.0166328 0.265633 0.797989 0.551448 -0.0929258 0.163552 0.209827 -0.142259 -0.280606 -0.583899 -0.653992 -0.373518 -0.301102 0.670094 0.589737 -0.142598 -0.282286 -0.144207 -0.373352 -0.498001 -0.313401 -0.369649 0.397804 0.224884 0.441674 0.116625 -0.206473 0.402718 0.0588384 0.0229974 -0.00549162 0 0 0 +# -0.0492017 -0.0585205 -0.0717684 -0.0892332 -0.109638 -0.127774 -0.130255 -0.0965305 -0.0149859 0.0792719 0.101249 0.0574455 0.0308221 0.00198082 -0.0788263 -0.100742 0.0184274 0.151043 0.100559 0.0408358 0.0571116 0.31466 0.76594 0.640107 -0.0901592 0.191231 0.119583 -0.060026 -0.289123 -0.510197 -0.655603 -0.327072 -0.324372 0.695129 0.555689 -0.163107 -0.233399 -0.217155 -0.369064 -0.514301 -0.313356 -0.321301 0.302864 0.289648 0.429658 0.0694516 -0.139146 0.333252 0.101572 0.0151085 -0.00778141 0 0 0 # implementation error by year in forecast: 0 0 0 # #Fishing Mortality info @@ -179,7 +180,7 @@ # F rates by fleet x season # Yr: 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 # seas: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -# fishery1 0.00748039 0.0150683 0.0229072 0.0310741 0.0394717 0.0479439 0.0566511 0.0661247 0.0769498 0.0897604 0.0955359 0.102983 0.112644 0.125002 0.139976 0.156146 0.152751 0.142729 0.128938 0.113462 0.0967853 0.0994969 0.103401 0.108001 0.112221 0.114625 0.114695 0.113211 0.111402 0.109869 0.108468 0.0652035 0.0666697 0.0678455 +# fishery1 0.00740789 0.0149082 0.0226255 0.0306282 0.0388421 0.0471423 0.0556416 0.0648257 0.0753016 0.0877316 0.0932727 0.100378 0.109517 0.121148 0.135185 0.150445 0.147267 0.137951 0.124806 0.109778 0.0935056 0.0959332 0.0994391 0.103545 0.107326 0.109513 0.109525 0.107975 0.10597 0.104146 0.10248 0.0626138 0.0640142 0.0651567 # #_Q_setup for fleets with cpue or survey data #_1: fleet number @@ -194,7 +195,7 @@ # #_Q_parms(if_any);Qunits_are_ln(q) #_ LO HI INIT PRIOR PR_SD PR_type PHASE env-var use_dev dev_mnyr dev_mxyr dev_PH Block Blk_Fxn # parm_name - -15 15 -4.34037 0 1 0 -1 0 0 0 0 0 0 0 # LnQ_base_survey1(2) + -15 15 -4.38243 0 1 0 -1 0 0 0 0 0 0 0 # LnQ_base_survey1(2) #_no timevary Q parameters # #_size_selex_patterns @@ -204,7 +205,7 @@ #Pattern:_11; parm=2; selex=1.0 for specified min-max population length bin range #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_6; parm=2+special; non-parm len selex -#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (average over bin range) +#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (mean over bin range) #Pattern:_8; parm=8; double_logistic with smooth transitions and constant above Linf option #Pattern:_9; parm=6; simple 4-parm double logistic with starting length; parm 5 is first length; parm 6=1 does desc as offset #Pattern:_21; parm=2+special; non-parm len selex, read as pairs of size, then selex @@ -214,7 +215,7 @@ #Pattern:_2; parm=6; double_normal with sel(minL) and sel(maxL), using joiners, back compatibile version of 24 with 3.30.18 and older #Pattern:_25; parm=3; exponential-logistic in length #Pattern:_27; parm=special+3; cubic spline in length; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (mean over bin range) #_discard_options:_0=none;_1=define_retention;_2=retention&mortality;_3=all_discarded_dead;_4=define_dome-shaped_retention #_Pattern Discard Male Special 24 0 0 0 # 1 fishery1 @@ -230,13 +231,13 @@ #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_16; parm=2; Coleraine - Gaussian #Pattern:_17; parm=nages+1; empirical as random walk N parameters to read can be overridden by setting special to non-zero -#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (average over bin range) +#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (mean over bin range) #Pattern:_18; parm=8; double logistic - smooth transition #Pattern:_19; parm=6; simple 4-parm double logistic with starting age #Pattern:_20; parm=6; double_normal,using joiners #Pattern:_26; parm=3; exponential-logistic in age #Pattern:_27; parm=3+special; cubic spline in age; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (mean over bin range) #Age patterns entered with value >100 create Min_selage from first digit and pattern from remainder #_Pattern Discard Male Special 10 0 0 0 # 1 fishery1 @@ -244,26 +245,30 @@ # #_ LO HI INIT PRIOR PR_SD PR_type PHASE env-var use_dev dev_mnyr dev_mxyr dev_PH Block Blk_Fxn # parm_name # 1 fishery1 LenSelex - 5 89 60.0136 60 99 6 3 0 0 0 0 0.5 0 0 # Size_DblN_peak_fishery1(1) + 5 89 60.5283 60 99 6 3 0 0 0 0 0.5 0 0 # Size_DblN_peak_fishery1(1) -3 3 -0.75 -0.75 99 6 -3 0 0 0 0 0.5 0 0 # Size_DblN_top_logit_fishery1(1) - -4 12 4.9874 5 99 6 3 0 0 0 0 0.5 0 0 # Size_DblN_ascend_se_fishery1(1) + -4 12 5.0364 5 99 6 3 0 0 0 0 0.5 0 0 # Size_DblN_ascend_se_fishery1(1) -2 15 15 15 99 6 -3 0 0 0 0 0.5 0 0 # Size_DblN_descend_se_fishery1(1) - -15 0 -12.9085 -15 99 6 3 0 0 0 0 0.5 0 0 # Size_DblN_start_logit_fishery1(1) + -15 0 -12.8882 -15 99 6 3 0 0 0 0 0.5 0 0 # Size_DblN_start_logit_fishery1(1) -999 15 -999 0 99 6 -3 0 0 0 0 0.5 0 0 # Size_DblN_end_logit_fishery1(1) # 2 survey1 LenSelex - 5 89 55.676 55 99 6 3 0 0 0 0 0.5 0 0 # Size_DblN_peak_survey1(2) + 5 89 56.0865 55 99 6 3 0 0 0 0 0.5 0 0 # Size_DblN_peak_survey1(2) -3 3 -0.31 -0.31 99 6 -3 0 0 0 0 0.5 0 0 # Size_DblN_top_logit_survey1(2) - -4 12 5.08702 5 99 6 3 0 0 0 0 0.5 0 0 # Size_DblN_ascend_se_survey1(2) + -4 12 5.13379 5 99 6 3 0 0 0 0 0.5 0 0 # Size_DblN_ascend_se_survey1(2) -2 15 15 15 99 6 -3 0 0 0 0 0.5 0 0 # Size_DblN_descend_se_survey1(2) - -15 0 -12.2567 -15 99 6 3 0 0 0 0 0.5 0 0 # Size_DblN_start_logit_survey1(2) + -15 0 -12.213 -15 99 6 3 0 0 0 0 0.5 0 0 # Size_DblN_start_logit_survey1(2) -999 15 -999 0 99 6 -3 0 0 0 0 0.5 0 0 # Size_DblN_end_logit_survey1(2) # 1 fishery1 AgeSelex # 2 survey1 AgeSelex #_No_Dirichlet parameters #_no timevary selex parameters # -0 # use 2D_AR1 selectivity(0/1) +0 # use 2D_AR1 selectivity? (0/1) #_no 2D_AR1 selex offset used +#_specs: fleet, ymin, ymax, amin, amax, sigma_amax, use_rho, len1/age2, devphase, before_range, after_range +#_sigma_amax>amin means create sigma parm for each bin from min to sigma_amax; sigma_amax<0 means just one sigma parm is read and used for all bins +#_needed parameters follow each fleet's specifications +# -9999 0 0 0 0 0 0 0 0 0 0 # terminator # # Tag loss and Tag reporting parameters go next 0 # TG_custom: 0=no read and autogen if tag data exist; 1=read diff --git a/models/platoons/platoons_dat.ss b/models/platoons/platoons_dat.ss index e6f9815..f0a0fd9 100644 --- a/models/platoons/platoons_dat.ss +++ b/models/platoons/platoons_dat.ss @@ -1,21 +1,21 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov #_User_info_available_at:https://vlab.noaa.gov/group/stock-synthesis #_Source_code_at:_https://github.com/nmfs-stock-synthesis/stock-synthesis -#_Start_time: Tue Feb 14 23:24:19 2023 +#_Start_time: Tue Oct 31 16:44:32 2023 #_echo_input_data -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 1971 #_StartYr 2001 #_EndYr 1 #_Nseas 12 #_months/season 2 #_Nsubseasons (even number, minimum is 2) 1 #_spawn_month -2 #_Ngenders: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) +2 #_Nsexes: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) 40 #_Nages=accumulator age, first age is always age 0 1 #_Nareas 2 #_Nfleets (including surveys) @@ -115,7 +115,7 @@ 1 # use length composition data (0/1/2) where 2 invokes new comp_control format #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie @@ -171,7 +171,7 @@ 0.525 0.575 0.625 0.675 0.725 0.775 0.825 0.875 0.925 0.975 1.025 1.075 1.125 1.175 1.225 1.275 1.325 1.375 1.425 1.475 1.525 1.575 1.625 1.675 1.725 1.775 1.825 1.875 1.925 1.975 2.025 2.075 2.125 2.175 2.225 2.275 2.325 2.375 2.425 2.475 2.525 #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie diff --git a/models/platoons/ss.par b/models/platoons/ss.par index 8336e27..960e976 100644 --- a/models/platoons/ss.par +++ b/models/platoons/ss.par @@ -1,4 +1,4 @@ -# Number of parameters = 69 Objective function value = 1121.22708950013 Maximum gradient component = 4.16191863615615e-05 +# Number of parameters = 69 Objective function value = 1121.22708949200 Maximum gradient component = 5.37073714584667e-05 # dummy_parm: 1.00000000000 # MGparm[1]: @@ -6,11 +6,11 @@ # MGparm[2]: 0.00000000000 # MGparm[3]: -34.6724157488 +34.6724157173 # MGparm[4]: -71.3023367406 +71.3023368470 # MGparm[5]: -0.152754265755 +0.152754265942 # MGparm[6]: 0.100000000000 # MGparm[7]: @@ -54,13 +54,13 @@ # MGparm[26]: 1.00000000000 # MGparm[27]: -0.357046089715 +0.357046090313 # MGparm[28]: 0.500000000000 # SR_parm[1]: -10.5900944741 +10.5900944403 # SR_parm[2]: -0.787740213590 +0.787740225866 # SR_parm[3]: 0.500000000000 # SR_parm[4]: @@ -68,35 +68,35 @@ # SR_parm[5]: 0.00000000000 # recdev1: - -0.0492002819781 -0.0585211136532 -0.0717681633747 -0.0892331655237 -0.109637975398 -0.127773859666 -0.130254889690 -0.0965313269240 -0.0149858217089 0.0792719520707 0.101248729040 0.0574455531857 0.0308220310457 0.00198140399410 -0.0788272388843 -0.100741863123 0.0184273677085 0.151043059808 0.100558519213 0.0408356811463 0.0571117305452 0.314659824680 0.765939640509 0.640106557046 -0.0901590072624 0.191230942333 0.119582735724 -0.0600261786574 -0.289123187619 -0.510196595831 -0.655603279536 -0.327072171189 -0.324371868451 0.695129228270 0.555688844025 -0.163107512057 -0.233398594193 -0.217154763030 -0.369063606095 -0.514301253509 -0.313356259067 -0.321300613731 0.302863995262 0.289648172194 0.429657897773 0.0694518327790 -0.139146443175 0.333252113402 0.101572013742 0.0151084586137 -0.00778125078516 + -0.0492017117897 -0.0585204876823 -0.0717684340823 -0.0892332068204 -0.109637827864 -0.127774241785 -0.130254749999 -0.0965305083794 -0.0149858555290 0.0792718619502 0.101248720953 0.0574455123753 0.0308220969633 0.00198081595453 -0.0788262552778 -0.100742411556 0.0184273936658 0.151043198504 0.100558602740 0.0408357903407 0.0571115573062 0.314659920345 0.765939711336 0.640106601231 -0.0901592107277 0.191231164797 0.119582639165 -0.0600260332183 -0.289123251604 -0.510196597271 -0.655603217292 -0.327072174747 -0.324371653371 0.695129143710 0.555688923782 -0.163107496692 -0.233398558268 -0.217154839236 -0.369063502883 -0.514301237454 -0.313356306963 -0.321300576697 0.302864106582 0.289647928200 0.429658207351 0.0694516082661 -0.139146437587 0.333252244879 0.101571943048 0.0151084988483 -0.00778140751590 # Fcast_recruitments: 0.00000000000 0.00000000000 0.00000000000 # Fcast_impl_error: 0.00000000000 0.00000000000 0.00000000000 # Q_parm[1]: --4.38243406178 +-4.38243404361 # selparm[1]: -60.5283203182 +60.5283208825 # selparm[2]: -0.750000000000 # selparm[3]: -5.03639988785 +5.03639999147 # selparm[4]: 15.0000000000 # selparm[5]: --12.8838228120 +-12.8882494710 # selparm[6]: -999.000000000 # selparm[7]: -56.0864773871 +56.0864775361 # selparm[8]: -0.310000000000 # selparm[9]: -5.13378753275 +5.13378747700 # selparm[10]: 15.0000000000 # selparm[11]: --12.2184471671 +-12.2129526976 # selparm[12]: -999.000000000 # checksum999: diff --git a/models/platoons/ss_summary.sso b/models/platoons/ss_summary.sso index eeefaaf..217d913 100644 --- a/models/platoons/ss_summary.sso +++ b/models/platoons/ss_summary.sso @@ -1,8 +1,8 @@ -#V3.30.21.beta: not an official version of SS;_safe;_compile_date:_Feb 25 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 platoons_dat.ss #_DataFile platoons_ctl.ss #_Control -Run_Date: Mon Feb 27 15:41:48 2023 -Final_phase: 6 N_iterations: 534 +Run_Date: Tue Oct 31 16:42:28 2023 +Final_phase: 6 N_iterations: 546 #_LIKELIHOOD Label logL*Lambda TOTAL_LogL 1121.23 @@ -12,10 +12,10 @@ Length_comp 760.714 Age_comp 365.103 Recruitment 1.18646 InitEQ_regime 0 -Sum_recdevs -3.6169e-16 +Sum_recdevs -6.25368e-16 Forecast_Recruitment 0 -Parm_priors 0.0204873 -Parm_softbounds 0.0014226 +Parm_priors 0.0204879 +Parm_softbounds 0.00142283 Parm_devs 0 F_Ballpark 0 Crash_Pen 0 @@ -56,34 +56,34 @@ SR_BH_steep 0.78774 0.347168 Act 0.734674 SR_sigmaR 0.5 0 Fix 0.25 SR_regime 0 0 Fix 0.5 SR_autocorr 0 0 Fix 0 -Main_InitAge_20 -0.0492003 0.483208 Act 0.49508 -Main_InitAge_19 -0.0585211 0.480982 Act 0.494148 -Main_InitAge_18 -0.0717682 0.477985 Act 0.492823 +Main_InitAge_20 -0.0492017 0.483208 Act 0.49508 +Main_InitAge_19 -0.0585205 0.480982 Act 0.494148 +Main_InitAge_18 -0.0717684 0.477985 Act 0.492823 Main_InitAge_17 -0.0892332 0.474221 Act 0.491077 Main_InitAge_16 -0.109638 0.470038 Act 0.489036 Main_InitAge_15 -0.127774 0.466477 Act 0.487223 Main_InitAge_14 -0.130255 0.465934 Act 0.486974 -Main_InitAge_13 -0.0965313 0.47158 Act 0.490347 -Main_InitAge_12 -0.0149858 0.484072 Act 0.498501 -Main_InitAge_11 0.079272 0.496765 Act 0.507927 +Main_InitAge_13 -0.0965305 0.47158 Act 0.490347 +Main_InitAge_12 -0.0149859 0.484072 Act 0.498501 +Main_InitAge_11 0.0792719 0.496765 Act 0.507927 Main_InitAge_10 0.101249 0.500536 Act 0.510125 -Main_InitAge_9 0.0574456 0.493498 Act 0.505745 -Main_InitAge_8 0.030822 0.485243 Act 0.503082 -Main_InitAge_7 0.0019814 0.473451 Act 0.500198 -Main_InitAge_6 -0.0788272 0.464484 Act 0.492117 +Main_InitAge_9 0.0574455 0.493498 Act 0.505745 +Main_InitAge_8 0.0308221 0.485243 Act 0.503082 +Main_InitAge_7 0.00198082 0.473451 Act 0.500198 +Main_InitAge_6 -0.0788263 0.464484 Act 0.492117 Main_InitAge_5 -0.100742 0.459985 Act 0.489926 Main_InitAge_4 0.0184274 0.47204 Act 0.501843 Main_InitAge_3 0.151043 0.483492 Act 0.515104 Main_InitAge_2 0.100559 0.486277 Act 0.510056 -Main_InitAge_1 0.0408357 0.47955 Act 0.504084 -Main_RecrDev_1971 0.0571117 0.483116 Act 0.505711 +Main_InitAge_1 0.0408358 0.47955 Act 0.504084 +Main_RecrDev_1971 0.0571116 0.483116 Act 0.505711 Main_RecrDev_1972 0.31466 0.53317 Act 0.531466 Main_RecrDev_1973 0.76594 0.573628 Act 0.576594 Main_RecrDev_1974 0.640107 0.517555 Act 0.564011 -Main_RecrDev_1975 -0.090159 0.452555 Act 0.490984 +Main_RecrDev_1975 -0.0901592 0.452555 Act 0.490984 Main_RecrDev_1976 0.191231 0.417427 Act 0.519123 -Main_RecrDev_1977 0.119583 0.421767 Act 0.511958 -Main_RecrDev_1978 -0.0600262 0.397125 Act 0.493997 +Main_RecrDev_1977 0.119583 0.421768 Act 0.511958 +Main_RecrDev_1978 -0.060026 0.397125 Act 0.493997 Main_RecrDev_1979 -0.289123 0.370772 Act 0.471088 Main_RecrDev_1980 -0.510197 0.372856 Act 0.44898 Main_RecrDev_1981 -0.655603 0.363986 Act 0.43444 @@ -91,7 +91,7 @@ Main_RecrDev_1982 -0.327072 0.335666 Act 0.467293 Main_RecrDev_1983 -0.324372 0.390954 Act 0.467563 Main_RecrDev_1984 0.695129 0.295384 Act 0.569513 Main_RecrDev_1985 0.555689 0.346317 Act 0.555569 -Main_RecrDev_1986 -0.163108 0.383929 Act 0.483689 +Main_RecrDev_1986 -0.163107 0.383929 Act 0.483689 Main_RecrDev_1987 -0.233399 0.374791 Act 0.47666 Main_RecrDev_1988 -0.217155 0.37898 Act 0.478284 Main_RecrDev_1989 -0.369064 0.342625 Act 0.463094 @@ -101,12 +101,12 @@ Main_RecrDev_1992 -0.321301 0.37191 Act 0.46787 Main_RecrDev_1993 0.302864 0.350581 Act 0.530286 Main_RecrDev_1994 0.289648 0.392071 Act 0.528965 Main_RecrDev_1995 0.429658 0.36855 Act 0.542966 -Main_RecrDev_1996 0.0694518 0.393525 Act 0.506945 +Main_RecrDev_1996 0.0694516 0.393525 Act 0.506945 Main_RecrDev_1997 -0.139146 0.43286 Act 0.486085 Main_RecrDev_1998 0.333252 0.402145 Act 0.533325 Main_RecrDev_1999 0.101572 0.435062 Act 0.510157 Main_RecrDev_2000 0.0151085 0.454843 Act 0.501511 -Main_RecrDev_2001 -0.00778125 0.495029 Act 0.499222 +Main_RecrDev_2001 -0.00778141 0.495029 Act 0.499222 ForeRecr_2002 0 0.5 Act 0.5 ForeRecr_2003 0 0.5 Act 0.5 ForeRecr_2004 0 0.5 Act 0.5 @@ -120,18 +120,18 @@ Size_DblN_peak_fishery1(1) 60.5283 1.82938 Act 0.661051 Size_DblN_top_logit_fishery1(1) -0.75 0 Fix 0.375 Size_DblN_ascend_se_fishery1(1) 5.0364 0.188381 Act 0.564775 Size_DblN_descend_se_fishery1(1) 15 0 Fix 1 -Size_DblN_start_logit_fishery1(1) -12.8838 44.1501 Act 0.141078 +Size_DblN_start_logit_fishery1(1) -12.8882 44.1637 Act 0.140783 Size_DblN_end_logit_fishery1(1) -999 0 Fix 0 Size_DblN_peak_survey1(2) 56.0865 2.27029 Act 0.608172 Size_DblN_top_logit_survey1(2) -0.31 0 Fix 0.448333 Size_DblN_ascend_se_survey1(2) 5.13379 0.295362 Act 0.570862 Size_DblN_descend_se_survey1(2) 15 0 Fix 1 -Size_DblN_start_logit_survey1(2) -12.2184 65.8777 Act 0.185437 +Size_DblN_start_logit_survey1(2) -12.213 65.9304 Act 0.185803 Size_DblN_end_logit_survey1(2) -999 0 Fix 0 #_Derived_Quantities #_Spawn_Bio -SSB_Virgin 60830.9 4769.99 -SSB_Initial 60830.9 4769.99 +SSB_Virgin 60830.8 4769.99 +SSB_Initial 60830.8 4769.99 SSB_1971 59692.7 5414.23 SSB_1972 59415.3 5265.82 SSB_1973 58798.5 5104.67 @@ -186,7 +186,7 @@ Recr_1984 71893.6 22513.9 Recr_1985 61825.2 21226.3 Recr_1986 29711.2 11928.5 Recr_1987 27262.6 11114.6 -Recr_1988 27345.9 10010.8 +Recr_1988 27345.8 10010.8 Recr_1989 23281.3 8580.09 Recr_1990 20022.4 7481.74 Recr_1991 24392.7 8959.95 @@ -288,7 +288,7 @@ Bratio_1982 0.73258 0.0496025 Bratio_1983 0.679379 0.0475847 Bratio_1984 0.620974 0.0453868 Bratio_1985 0.55924 0.0432373 -Bratio_1986 0.497909 0.0414147 +Bratio_1986 0.49791 0.0414147 Bratio_1987 0.442574 0.0401688 Bratio_1988 0.404298 0.0396656 Bratio_1989 0.381527 0.0400561 @@ -308,7 +308,7 @@ Bratio_2002 0.320403 0.102449 Bratio_2003 0.337018 0.103941 Bratio_2004 0.351906 0.105075 #_Mgmt_Quantity -SSB_unfished 60830.9 5707.92 +SSB_unfished 60830.8 5707.92 Totbio_unfished 157967 13212.7 SmryBio_unfished 157965 13212.5 Recr_unfished 39739.2 3728.84 @@ -320,7 +320,7 @@ SSB_SPR 21696.1 5632.05 annF_SPR 0.0689598 0.000800643 Dead_Catch_SPR 4863.32 1228.51 SSB_MSY 21696.1 5632.05 -SPR_MSY 0.4 3.54357e-16 +SPR_MSY 0.4 3.44165e-16 annF_MSY 0.0689598 0.000800643 Dead_Catch_MSY 4863.32 1228.51 Ret_Catch_MSY 4863.32 1228.51 diff --git a/models/platoons/starter.ss b/models/platoons/starter.ss index 6e5d6ac..118ed17 100644 --- a/models/platoons/starter.ss +++ b/models/platoons/starter.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -8,9 +8,9 @@ platoons_dat.ss platoons_ctl.ss 0 # 0=use init values in control file; 1=use ss.par -1 # run display detail (0,1,2) +1 # run display detail (0 = minimal; 1=one line per iter; 2=each logL) 1 # detailed output (0=minimal for data-limited, 1=high (w/ wtatage.ss_new), 2=brief, 3=custom) -# custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end +#COND: custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end 0 # write 1st iteration details to echoinput.sso file (0,1) 0 # write parm values to ParmTrace.sso (0=no,1=good,active; 2=good,all; 3=every_iter,all_parms; 4=every,active) 0 # write to cumreport.sso (0=no,1=like×eries; 2=add survey fits) @@ -26,7 +26,7 @@ platoons_ctl.ss -1 # min yr for sdreport outputs (-1 for styr); #_1969 -2 # max yr for sdreport outputs (-1 for endyr+1; -2 for endyr+Nforecastyrs); #_2004 0 # N individual STD years -#vector of year values +#COND: vector of year values if N>0 0.0001 # final convergence criteria (e.g. 1.0e-04) 0 # retrospective year relative to end year (e.g. -4) @@ -34,10 +34,10 @@ platoons_ctl.ss 1 # Depletion basis: denom is: 0=skip; 1=X*SPBvirgin; 2=X*SPBmsy; 3=X*SPB_styr; 4=X*SPB_endyr; 5=X*dyn_Bzero; values>=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) 1 # Fraction (X) for Depletion denominator (e.g. 0.4) 4 # SPR_report_basis: 0=skip; 1=(1-SPR)/(1-SPR_tgt); 2=(1-SPR)/(1-SPR_MSY); 3=(1-SPR)/(1-SPR_Btarget); 4=rawSPR -1 # F_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=true F for range of ages; 5=unweighted avg. F for range of ages -#COND 10 15 #_min and max age over which average F will be calculated with F_reporting=4 or 5 -0 # F_std_basis: 0=raw_annual_F; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual_F; values >=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) +1 # F_std_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=mean F for range of ages (numbers weighted); 5=unweighted mean F for range of ages +#COND 10 15 #_min and max age over which mean F will be calculated with F_reporting=4 or 5 +0 # F_std_scaling: 0=no scaling; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual F_std, Fmsy means F_std@msy; values >=11 invoke N multiyr (up to 9!) using 10's digit; >100 invokes log(ratio) 0 # MCMC output detail: integer part (0=default; 1=adds obj func components; 2= +write_report_for_each_mceval); and decimal part (added to SR_LN(R0) on first call to mcmc) -0 # ALK tolerance ***disabled in code (example 0.0001) --1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1676417059 +0 # ALK tolerance ***disabled in code +-1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1698770672 3.30 # check value for end of file and for version control diff --git a/models/platoons/warning.sso b/models/platoons/warning.sso index 038258f..5bdbca2 100644 --- a/models/platoons/warning.sso +++ b/models/platoons/warning.sso @@ -1,8 +1,10 @@ Warning 1 : fishing fleet: 1 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month Note 1 Information: sd_ratio read is < 0, so expecting sd parameter after movement params.; search for in echoinput.sso for parm_type Note 2 Suggestion: This model has just one settlement event. Changing to recr_dist_method 4 and removing the recruitment distribution parameters at the end of the MG parms section (below growth parameters) will produce identical results and simplify the model. -Warning 2 : bias adjustment ramp extends into forecast; biasadj set to 0.0 internally for forecast years -Warning 3 : Fleet:_1min bound on parameter for size at peak is 5; which is < min databin (22), so illogical. -Warning 4 : Fleet:_2min bound on parameter for size at peak is 5; which is < min databin (22), so illogical. -Warning 5 : Setting in starter does not request all priors, and 29 parameters have priors and are not estimated, so their prior not included in obj_fun. - 5 warnings and 2 notes +Warning 2 : At least one block pattern ends in endyr. Check the output parameter value time series to see if the values in forecast years are as intended. +Warning 3 : bias adjustment ramp extends into forecast; biasadj set to 0.0 internally for forecast years +Warning 4 : Fleet:_1min bound on parameter for size at peak is 5; which is < min databin (22), so illogical. +Warning 5 : Fleet:_2min bound on parameter for size at peak is 5; which is < min databin (22), so illogical. +Warning 6 : Setting in starter does not request all priors, and 29 parameters have priors and are not estimated, so their prior not included in obj_fun. +Note 3 Information: A revised protocol for the Fcast_yr specification is available and recommended. + 6 warnings and 3 notes diff --git a/models/platoons/wtatage.ss b/models/platoons/wtatage.ss index 78ea1f6..8058a9a 100644 --- a/models/platoons/wtatage.ss +++ b/models/platoons/wtatage.ss @@ -6,344 +6,344 @@ # fleet -1 contains mid season pop WT # fleet -2 contains maturity*fecundity #Yr Seas Sex Bio_Pattern BirthSeas Fleet 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 -1971 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1971 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1971 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1971 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1971 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1971 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1971 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1971 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1971 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1971 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1971 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1971 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1971 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1971 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1971 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1971 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1971 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1972 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1972 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1972 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1972 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1972 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1972 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1972 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1971 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1971 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1972 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1972 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1972 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1972 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1972 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1972 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1972 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1972 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1972 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1972 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1973 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1973 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1973 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1973 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1973 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1973 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1973 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1972 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1972 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1973 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1973 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1973 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1973 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1973 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1973 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1973 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1973 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1973 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1973 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1974 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1974 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1974 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1974 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1974 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1974 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1974 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1973 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1973 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1974 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1974 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1974 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1974 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1974 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1974 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1974 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1974 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1974 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1974 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1975 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1975 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1975 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1975 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1975 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1975 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1975 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1974 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1974 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1975 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1975 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1975 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1975 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1975 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1975 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1975 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1975 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1975 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1975 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1976 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1976 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1976 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1976 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1976 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1976 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1976 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1975 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1975 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1976 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1976 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1976 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1976 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1976 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1976 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1976 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1976 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1976 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1976 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1977 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1977 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1977 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1977 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1977 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1977 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1977 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1976 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1976 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1977 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1977 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1977 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1977 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1977 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1977 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1977 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1977 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1977 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1977 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1978 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1978 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1978 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1978 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1978 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1978 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1978 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1977 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1977 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1978 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1978 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1978 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1978 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1978 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1978 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1978 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1978 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1978 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1978 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1979 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1979 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1979 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1979 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1979 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1979 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1979 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1978 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1978 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1979 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1979 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1979 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1979 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1979 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1979 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1979 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1979 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1979 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1979 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1980 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1980 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1980 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1980 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1980 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1980 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1980 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1979 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1979 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1980 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1980 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1980 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1980 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1980 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1980 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1980 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1980 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1980 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1980 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1981 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1981 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1981 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1981 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1981 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1981 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1981 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1980 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1980 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1981 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1981 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1981 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1981 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1981 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1981 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1981 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1981 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1981 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1981 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1982 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1982 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1982 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1982 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1982 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1982 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1982 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1981 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1981 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1982 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1982 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1982 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1982 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1982 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1982 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1982 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1982 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1982 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1982 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1983 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1983 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1983 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1983 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1983 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1983 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1983 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1982 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1982 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1983 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1983 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1983 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1983 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1983 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1983 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1983 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1983 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1983 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1983 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1984 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1984 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1984 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1984 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1984 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1984 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1984 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1983 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1983 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1984 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1984 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1984 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1984 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1984 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1984 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1984 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1984 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1984 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1984 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1985 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1985 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1985 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1985 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1985 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1985 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1985 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1984 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1984 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1985 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1985 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1985 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1985 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1985 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1985 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1985 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1985 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1985 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1985 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1986 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1986 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1986 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1986 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1986 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1986 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1986 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1985 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1985 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1986 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1986 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1986 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1986 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1986 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1986 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1986 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1986 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1986 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1986 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1987 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1987 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1987 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1987 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1987 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1987 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1987 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1986 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1986 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1987 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1987 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1987 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1987 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1987 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1987 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1987 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1987 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1987 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1987 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1988 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1988 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1988 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1988 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1988 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1988 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1988 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1987 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1987 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1988 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1988 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1988 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1988 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1988 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1988 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1988 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1988 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1988 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1988 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1989 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1989 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1989 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1989 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1989 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1989 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1989 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1988 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1988 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1989 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1989 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1989 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1989 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1989 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1989 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1989 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1989 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1989 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1989 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1990 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1990 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1990 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1990 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1990 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1990 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1990 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1989 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1989 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1990 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1990 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1990 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1990 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1990 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1990 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1990 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1990 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1990 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1990 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1991 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1991 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1991 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1991 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1991 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1991 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1991 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1990 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1990 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1991 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1991 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1991 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1991 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1991 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1991 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1991 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1991 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1991 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1991 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1992 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1992 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1992 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1992 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1992 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1992 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1992 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1991 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1991 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1992 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1992 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1992 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1992 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1992 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1992 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1992 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1992 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1992 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1992 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1993 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1993 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1993 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1993 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1993 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1993 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1993 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1992 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1992 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1993 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1993 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1993 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1993 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1993 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1993 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1993 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1993 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1993 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1993 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1994 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1994 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1994 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1994 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1994 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1994 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1994 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1993 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1993 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1994 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1994 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1994 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1994 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1994 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1994 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1994 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1994 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1994 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1994 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1995 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1995 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1995 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1995 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1995 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1995 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1995 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1994 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1994 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1995 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1995 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1995 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1995 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1995 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1995 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1995 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1995 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1995 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1995 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1996 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1996 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1996 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1996 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1996 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1996 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1996 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1995 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1995 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1996 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1996 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1996 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1996 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1996 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1996 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1996 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1996 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1996 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1996 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1997 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1997 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1997 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1997 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1997 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1997 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1997 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1996 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1996 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1997 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1997 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1997 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1997 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1997 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1997 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1997 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1997 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1997 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1997 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1998 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1998 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1998 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1998 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1998 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1998 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1998 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1997 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1997 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1998 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1998 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1998 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1998 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1998 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1998 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1998 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1998 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1998 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1998 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -1999 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1999 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1999 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -1999 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -1999 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -1999 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1999 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1998 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1998 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +1999 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1999 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1999 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +1999 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +1999 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +1999 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1999 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 1999 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -1999 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -1999 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -2000 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -2000 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -2000 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -2000 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -2000 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -2000 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -2000 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +1999 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +1999 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +2000 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +2000 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +2000 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +2000 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +2000 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +2000 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +2000 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 2000 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -2000 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -2000 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -2001 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -2001 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -2001 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -2001 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -2001 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -2001 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -2001 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +2000 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +2000 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +2001 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +2001 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +2001 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +2001 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +2001 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +2001 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +2001 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 2001 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -2001 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -2001 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -2002 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -2002 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -2002 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -2002 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -2002 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -2002 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -2002 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +2001 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +2001 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +2002 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +2002 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +2002 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +2002 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +2002 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +2002 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +2002 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 2002 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -2002 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -2002 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -2003 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -2003 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -2003 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -2003 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -2003 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -2003 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -2003 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +2002 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +2002 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +2003 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +2003 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +2003 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +2003 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +2003 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +2003 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +2003 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 2003 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -2003 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -2003 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid -2004 1 1 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -2004 1 1 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -2004 1 2 1 1 1 0.0125621 0.123189 0.178572 0.234034 0.28635 0.334345 0.378467 0.419363 0.4572 0.491864 0.523237 0.551309 0.576186 0.598062 0.617177 0.633797 0.648188 0.660607 0.671297 0.680476 0.688345 0.695079 0.700835 0.705749 0.709942 0.713501 0.716518 0.719087 0.721274 0.723135 0.724717 0.726063 0.727207 0.728179 0.729006 0.729708 0.730305 0.730811 0.731242 0.731608 0.732115 #wt_flt_1 -2004 1 2 1 1 2 0.0126135 0.117993 0.170385 0.222791 0.272734 0.320212 0.36563 0.408613 0.448521 0.484911 0.517615 0.546685 0.572305 0.594735 0.614269 0.631208 0.645846 0.658458 0.669299 0.6786 0.686566 0.69338 0.6992 0.704168 0.708404 0.712002 0.715055 0.717653 0.719864 0.721746 0.723345 0.724705 0.725862 0.726844 0.727679 0.728389 0.728992 0.729504 0.729939 0.730308 0.730821 #wt_flt_2 -2004 1 1 1 1 -2 0 0.00062173 0.00420773 0.0186166 0.0542996 0.112086 0.181653 0.251949 0.316705 0.373739 0.422964 0.465094 0.501039 0.531677 0.557786 0.580034 0.59899 0.61514 0.628895 0.640609 0.65058 0.659065 0.666285 0.672426 0.677648 0.682088 0.685854 0.689055 0.691775 0.694087 0.69605 0.697718 0.699135 0.700338 0.70136 0.702228 0.702966 0.703592 0.704123 0.704575 0.705201 #fecundity -2004 1 1 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -2004 1 1 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid +2003 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +2003 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +2004 1 1 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +2004 1 1 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +2004 1 2 1 1 1 0.0127485 0.11059 0.159573 0.211106 0.262649 0.312379 0.359139 0.402551 0.442861 0.480148 0.51422 0.544952 0.572392 0.596712 0.618148 0.63696 0.653413 0.667761 0.680244 0.691083 0.700478 0.70861 0.71564 0.721711 0.72695 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #wt_flt_1 +2004 1 2 1 1 2 0.0127485 0.109228 0.157455 0.208156 0.258846 0.307849 0.354735 0.399401 0.441105 0.479298 0.51383 0.544773 0.572306 0.596668 0.618124 0.636946 0.653404 0.667755 0.68024 0.69108 0.700476 0.708608 0.715639 0.72171 0.726949 0.731463 0.735348 0.738694 0.741575 0.744053 0.746184 0.748017 0.749593 0.750947 0.752111 0.75311 0.753969 0.754707 0.75534 0.755885 0.756671 #wt_flt_2 +2004 1 1 1 1 -2 0 0.000566304 0.00330226 0.0137725 0.0418397 0.0942552 0.165379 0.241973 0.313852 0.376864 0.430624 0.476171 0.514802 0.547683 0.575768 0.599823 0.620466 0.638204 0.653457 0.666579 0.677869 0.687582 0.695939 0.703127 0.709308 0.714624 0.719191 0.723116 0.726489 0.729388 0.731878 0.734017 0.735854 0.737432 0.738788 0.739951 0.740951 0.741809 0.742545 0.743178 0.744092 #fecundity +2004 1 1 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +2004 1 1 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid 2004 1 2 1 1 -2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #fecundity -2004 1 2 1 1 0 5.4e-05 0.081245 0.127688 0.178867 0.231836 0.284313 0.334676 0.381868 0.425281 0.464644 0.499928 0.531262 0.558881 0.583075 0.604161 0.622461 0.638288 0.651935 0.663674 0.67375 0.682385 0.689774 0.696089 0.70148 0.706079 0.709999 0.713316 0.71614 0.718543 0.720588 0.722327 0.723806 0.725063 0.726131 0.727039 0.727811 0.728466 0.729023 0.729496 0.729898 0.730455 #popwt_beg -2004 1 2 1 1 -1 0.0120802 0.103667 0.152884 0.205286 0.258252 0.309837 0.358716 0.40407 0.445475 0.482791 0.516076 0.545519 0.571386 0.593986 0.613639 0.630665 0.645366 0.658027 0.668906 0.678235 0.686224 0.693056 0.698891 0.703871 0.708117 0.711724 0.714785 0.71739 0.719607 0.721493 0.723096 0.72446 0.725619 0.726604 0.727441 0.728152 0.728756 0.729269 0.729705 0.730075 0.730589 #popwt_mid --9999 1 1 1 1 0 0.00749351 0.0644243 0.0933315 0.123401 0.153192 0.181712 0.208342 0.232744 0.254784 0.274468 0.291889 0.307199 0.320574 0.332204 0.342277 0.350974 0.358462 0.364895 0.370412 0.375136 0.379175 0.382625 0.38557 0.38808 0.39022 0.392121 0.393813 0.395254 0.39648 0.397523 0.39841 0.399164 0.399806 0.40035 0.400814 0.401207 0.401541 0.401825 0.402066 0.402271 0.402556 #terminator +2004 1 2 1 1 0 5.4e-05 0.083736 0.12855 0.177871 0.229132 0.280299 0.329872 0.376825 0.42052 0.46062 0.497011 0.529738 0.558951 0.584867 0.607742 0.627847 0.645454 0.660828 0.674217 0.685853 0.695947 0.70469 0.712252 0.718786 0.724427 0.729292 0.733478 0.737084 0.740189 0.742861 0.745159 0.747136 0.748835 0.750296 0.751551 0.75263 0.753556 0.754352 0.755036 0.755623 0.756472 #popwt_beg +2004 1 2 1 1 -1 0.0125652 0.1054 0.152819 0.203399 0.254833 0.305359 0.353724 0.399107 0.441031 0.47928 0.513825 0.544771 0.572306 0.596668 0.618124 0.636946 0.653404 0.667756 0.68024 0.69108 0.700476 0.708608 0.715639 0.721711 0.726949 0.731463 0.735349 0.738695 0.741575 0.744053 0.746185 0.748018 0.749593 0.750947 0.752111 0.753111 0.75397 0.754707 0.755341 0.755885 0.756671 #popwt_mid +-9999 1 1 1 1 0 0.00648202 0.0546219 0.0772648 0.100632 0.123715 0.145826 0.166532 0.185596 0.202919 0.2185 0.232401 0.244722 0.255586 0.265122 0.273464 0.280739 0.287069 0.292565 0.297328 0.30145 0.305014 0.308091 0.310746 0.313034 0.315006 0.31683 0.318519 0.319973 0.321225 0.322302 0.323229 0.324025 0.32471 0.325299 0.325804 0.326239 0.326612 0.326933 0.327208 0.327445 0.327786 #terminator diff --git a/models/tagging_mirrored_sel/control.ss b/models/tagging_mirrored_sel/control.ss index 4820db7..c45c611 100644 --- a/models/tagging_mirrored_sel/control.ss +++ b/models/tagging_mirrored_sel/control.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -10,6 +10,7 @@ 1 #_N_Growth_Patterns (Growth Patterns, Morphs, Bio Patterns, GP are terms used interchangeably in SS3) 1 #_N_platoons_Within_GrowthPattern #_Cond 1 #_Platoon_within/between_stdev_ratio (no read if N_platoons=1) +#_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # 2 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) @@ -50,8 +51,8 @@ #_no additional input for selected M option; read 1P per morph # 1 # GrowthModel: 1=vonBert with L1&L2; 2=Richards with L1&L2; 3=age_specific_K_incr; 4=age_specific_K_decr; 5=age_specific_K_each; 6=NA; 7=NA; 8=growth cessation -1 #_Age(post-settlement)_for_L1;linear growth below this -999 #_Growth_Age_for_L2 (999 to use as Linf) +1 #_Age(post-settlement) for L1 (aka Amin); first growth parameter is size at this age; linear growth below this +999 #_Age(post-settlement) for L2 (aka Amax); 999 to treat as Linf -999 #_exponential decay for growth above maxage (value should approx initial Z; -999 replicates 3.24; -998 to not allow growth above maxage) 0 #_placeholder for future growth feature # @@ -77,7 +78,7 @@ 80 430 201.9 100 10 6 -2 0 0 1979 2006 0.5 0 0 # L_at_Amax_Fem_GP_1 0.05 0.35 0.123 0.1596 0.8 6 -3 0 0 1979 2006 0.5 0 0 # VonBert_K_Fem_GP_1 0.0005 0.25 0.0685697 0.01 0.8 6 5 0 0 0 0 0.5 0 0 # CV_young_Fem_GP_1 - 0.0005 0.25 0.0278141 0.01 0.8 6 5 0 0 0 0 0.5 0 0 # CV_old_Fem_GP_1 + 0.0005 0.25 0.0278142 0.01 0.8 6 5 0 0 0 0 0.5 0 0 # CV_old_Fem_GP_1 # Sex: 1 BioPattern: 1 WtLen -3 3 1.22e-06 3.75e-06 0.8 6 -3 0 0 0 0 0.5 0 0 # Wtlen_1_Fem_GP_1 2 5 3.18 3.013 0.8 6 -3 0 0 0 0 0.5 0 0 # Wtlen_2_Fem_GP_1 @@ -105,6 +106,7 @@ # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement +# Platoon StDev Ratio # Age Error from parameters # catch multiplier # fraction female, by GP @@ -129,7 +131,7 @@ 0 2 0 1 50 6 -50 0 0 0 0 0 0 0 # SR_autocorr #_no timevary SR parameters 1 #do_recdev: 0=none; 1=devvector (R=F(SSB)+dev); 2=deviations (R=F(SSB)+dev); 3=deviations (R=R0*dev; dev2=R-f(SSB)); 4=like 3 with sum(dev2) adding penalty -1964 # first year of main recr_devs; early devs can preceed this era +1964 # first year of main recr_devs; early devs can precede this era 2002 # last year of main recr_devs; forecast devs start in following year 1 #_recdev phase 1 # (0/1) to read 13 advanced options @@ -154,7 +156,7 @@ # # all recruitment deviations # 1964R 1965R 1966R 1967R 1968R 1969R 1970R 1971R 1972R 1973R 1974R 1975R 1976R 1977R 1978R 1979R 1980R 1981R 1982R 1983R 1984R 1985R 1986R 1987R 1988R 1989R 1990R 1991R 1992R 1993R 1994R 1995R 1996R 1997R 1998R 1999R 2000R 2001R 2002R 2003F 2004F 2005F 2006F 2007F 2008F -# -0.415582 -0.36447 0.23033 0.678983 -0.039297 0.17941 -0.0288961 0.111679 -0.21867 0.0166236 -0.0110341 -0.189562 0.0579246 -0.355668 -0.0980983 0.312479 -0.335778 -0.0383915 0.275018 -0.177245 0.0868404 -0.0446391 0.133796 0.0689072 -0.0544518 -0.0075753 0.294358 0.115016 0.0276093 -0.376054 -0.451285 -0.0685622 0.00193087 0.052324 0.241766 0.174739 0.18153 0.0359537 -0.00195738 0 0 0 0 0 0 +# -0.415582 -0.36447 0.23033 0.678983 -0.039297 0.179411 -0.0288962 0.111679 -0.21867 0.0166236 -0.011034 -0.189562 0.0579246 -0.355668 -0.0980982 0.312478 -0.335778 -0.0383915 0.275018 -0.177245 0.0868405 -0.0446391 0.133796 0.0689072 -0.0544518 -0.00757534 0.294358 0.115016 0.0276093 -0.376054 -0.451285 -0.0685622 0.00193083 0.052324 0.241766 0.174739 0.18153 0.0359536 -0.00195731 0 0 0 0 0 0 # #Fishing Mortality info 0.1 # F ballpark value in units of annual_F @@ -170,11 +172,11 @@ # F rates by fleet x season # Yr: 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 1941 1942 1943 1944 1945 1946 1947 1948 1949 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 # seas: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -# cpue1 0.000256572 0.000293338 0.00124375 0.000604934 0.000489839 0.000821053 0.00852045 0.00522262 0.00922861 0.0166917 0.0169963 0.0166459 0.0220373 0.0237903 0.0385544 0.0319958 0.0452017 0.047921 0.0429596 0.0450343 0.0459309 0.0641279 0.077189 0.0674857 0.0386991 0.0538853 0.0765816 0.0413778 0.0507012 0.0544673 0.0331751 0.0299365 0.0359405 0.0533476 0.0575849 0.0654508 0.0606216 0.0841847 0.0623063 0.0642807 0.0808443 0.0692719 0.0674756 0.0603563 0.0242808 0.0152683 0.0120912 0.0197939 0.0218779 0.0171698 0.0220718 0.0280397 0.0232901 0.0332908 0.0315866 0.0156853 0.017482 0.0271794 0.0336309 0.0339997 0.024962 0.0246899 0.0464768 0.0272 0.048951 0.0700411 0.0612967 0.0246823 0.0174919 0.0248524 0.0305093 0.0288367 0.0316548 0.0607499 0.0369719 0.0274473 0.0310959 0.0198314 0.0191725 0.0176756 0.00866157 0.00874339 -# cpue2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00351956 0.00484863 0.00991073 0.0218019 0.030637 0.0110903 0.0166981 0.0349152 0.0527911 0.206977 0.247821 0.307458 0.38543 0.35586 0.289595 0.36467 0.449389 0.554058 0.514533 0.612212 0.551111 0.546933 0.531244 0.505944 0.751809 0.413477 0.566861 0.541789 0.720132 0.506992 0.815807 0.528096 0.600785 0.566243 0.732504 0.716074 0.790175 0.58539 0.695055 0.608736 0.719794 0.643344 0.189307 0.191095 -# cpue3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4.75769e-05 5.50474e-05 0.000111008 0.000206978 0.000376602 0.000121382 0.000163979 0.000359863 0.000746792 0 0 0 0 0.00124944 0.00209849 0.00373872 0.00453006 5.89526e-05 0.000855114 0.000749134 0.0042865 0.00891683 0.00379724 0.00346492 0.0035557 0 0.0110177 0.00197519 0.000287107 0.00127398 0.0307125 0.00784111 0.0637949 0.0248542 0.00700195 0.0421504 0.0363041 0.0336648 0.0141474 0.0138789 0.0130239 0.0136358 0.00712049 0.00718775 -# cpue4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0291702 0.033307 0.0769112 0.156765 0.244926 0.108808 0.157945 0.338423 0.451922 0.162777 0.0634739 0.0545105 0.00417257 0.00418121 0.0170405 0.0199905 0.0445265 0.0364896 0.0396476 0.0235174 0.00699424 0.00608821 0.0104984 0.00227362 0.00763519 0.00690511 0.00562618 0.00885263 0.012517 0.0157018 0.0404802 0.017155 0 0 0 0 4.12561e-06 0 3.14687e-05 0.00341478 0 0 0.000542811 0.000547939 -# Cpue5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00143272 0.00154606 0.00257622 0.00641514 0.0146496 0.00957737 0.0133241 0.0204595 0.0280938 0.00147662 0.000243524 0.00436199 0.000733586 0.000219749 0.000167691 0 0 0.00023635 1.22657e-06 0 0 1.30141e-05 0.0080151 0.000469027 0.00180212 0 0.00022355 4.97608e-05 0.0357197 0.0180199 0 0 0.0248704 0 0 0 0 0 0 0 0 0 0.000655165 0.000661355 +# cpue1 0.000256572 0.000293338 0.00124375 0.000604934 0.000489839 0.000821053 0.00852045 0.00522262 0.00922861 0.0166917 0.0169963 0.0166459 0.0220373 0.0237903 0.0385545 0.0319958 0.0452017 0.047921 0.0429596 0.0450343 0.0459309 0.064128 0.077189 0.0674857 0.0386991 0.0538853 0.0765816 0.0413778 0.0507012 0.0544673 0.0331751 0.0299365 0.0359405 0.0533476 0.0575849 0.0654508 0.0606216 0.0841847 0.0623063 0.0642807 0.0808443 0.0692719 0.0674756 0.0603563 0.0242808 0.0152683 0.0120912 0.0197939 0.0218779 0.0171698 0.0220718 0.0280397 0.0232901 0.0332908 0.0315866 0.0156853 0.017482 0.0271794 0.0336309 0.0339997 0.024962 0.0246899 0.0464769 0.0272 0.048951 0.0700411 0.0612967 0.0246823 0.0174919 0.0248524 0.0305093 0.0288367 0.0316548 0.0607499 0.0369719 0.0274473 0.031096 0.0198314 0.0191725 0.0176756 0.00866157 0.00874339 +# cpue2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00351956 0.00484863 0.00991073 0.0218019 0.030637 0.0110903 0.0166981 0.0349152 0.0527911 0.206977 0.247821 0.307458 0.38543 0.35586 0.289595 0.36467 0.449389 0.554058 0.514533 0.612212 0.551111 0.546933 0.531244 0.505944 0.751809 0.413477 0.566861 0.54179 0.720132 0.506992 0.815807 0.528096 0.600785 0.566243 0.732504 0.716074 0.790175 0.58539 0.695055 0.608736 0.719794 0.643344 0.189307 0.191095 +# cpue3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4.75769e-05 5.50474e-05 0.000111008 0.000206978 0.000376602 0.000121382 0.00016398 0.000359863 0.000746792 0 0 0 0 0.00124944 0.00209849 0.00373872 0.00453006 5.89526e-05 0.000855114 0.000749134 0.0042865 0.00891683 0.00379724 0.00346492 0.0035557 0 0.0110177 0.00197519 0.000287107 0.00127398 0.0307125 0.00784111 0.0637949 0.0248542 0.00700195 0.0421504 0.0363041 0.0336648 0.0141474 0.0138789 0.0130239 0.0136358 0.00712049 0.00718775 +# cpue4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0291702 0.033307 0.0769113 0.156765 0.244926 0.108808 0.157945 0.338423 0.451922 0.162777 0.0634739 0.0545105 0.00417257 0.00418121 0.0170405 0.0199905 0.0445265 0.0364896 0.0396476 0.0235174 0.00699424 0.00608821 0.0104984 0.00227362 0.00763519 0.00690511 0.00562618 0.00885263 0.012517 0.0157018 0.0404802 0.017155 0 0 0 0 4.12561e-06 0 3.14687e-05 0.00341478 0 0 0.000542811 0.000547939 +# Cpue5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00143272 0.00154606 0.00257622 0.00641514 0.0146496 0.00957738 0.0133241 0.0204595 0.0280938 0.00147662 0.000243524 0.00436199 0.000733586 0.000219749 0.000167691 0 0 0.00023635 1.22657e-06 0 0 1.30141e-05 0.0080151 0.000469027 0.00180212 0 0.00022355 4.97608e-05 0.0357197 0.0180199 0 0 0.0248704 0 0 0 0 0 0 0 0 0 0.000655165 0.000661355 # #_Q_setup for fleets with cpue or survey data #_1: fleet number @@ -199,7 +201,7 @@ #Pattern:_11; parm=2; selex=1.0 for specified min-max population length bin range #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_6; parm=2+special; non-parm len selex -#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (average over bin range) +#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (mean over bin range) #Pattern:_8; parm=8; double_logistic with smooth transitions and constant above Linf option #Pattern:_9; parm=6; simple 4-parm double logistic with starting length; parm 5 is first length; parm 6=1 does desc as offset #Pattern:_21; parm=2+special; non-parm len selex, read as pairs of size, then selex @@ -209,7 +211,7 @@ #Pattern:_2; parm=6; double_normal with sel(minL) and sel(maxL), using joiners, back compatibile version of 24 with 3.30.18 and older #Pattern:_25; parm=3; exponential-logistic in length #Pattern:_27; parm=special+3; cubic spline in length; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (mean over bin range) #_discard_options:_0=none;_1=define_retention;_2=retention&mortality;_3=all_discarded_dead;_4=define_dome-shaped_retention #_Pattern Discard Male Special 6 0 0 44 # 1 cpue1 @@ -228,13 +230,13 @@ #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_16; parm=2; Coleraine - Gaussian #Pattern:_17; parm=nages+1; empirical as random walk N parameters to read can be overridden by setting special to non-zero -#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (average over bin range) +#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (mean over bin range) #Pattern:_18; parm=8; double logistic - smooth transition #Pattern:_19; parm=6; simple 4-parm double logistic with starting age #Pattern:_20; parm=6; double_normal,using joiners #Pattern:_26; parm=3; exponential-logistic in age #Pattern:_27; parm=3+special; cubic spline in age; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (mean over bin range) #Age patterns entered with value >100 create Min_selage from first digit and pattern from remainder #_Pattern Discard Male Special 20 0 0 0 # 1 cpue1 @@ -493,8 +495,12 @@ #_No_Dirichlet parameters #_no timevary selex parameters # -0 # use 2D_AR1 selectivity(0/1) +0 # use 2D_AR1 selectivity? (0/1) #_no 2D_AR1 selex offset used +#_specs: fleet, ymin, ymax, amin, amax, sigma_amax, use_rho, len1/age2, devphase, before_range, after_range +#_sigma_amax>amin means create sigma parm for each bin from min to sigma_amax; sigma_amax<0 means just one sigma parm is read and used for all bins +#_needed parameters follow each fleet's specifications +# -9999 0 0 0 0 0 0 0 0 0 0 # terminator # # Tag loss and Tag reporting parameters go next 1 # TG_custom: 0=no read and autogen if tag data exist; 1=read diff --git a/models/tagging_mirrored_sel/data_boot_new.ss b/models/tagging_mirrored_sel/data_boot_new.ss index 3ef7442..6eb7144 100644 --- a/models/tagging_mirrored_sel/data_boot_new.ss +++ b/models/tagging_mirrored_sel/data_boot_new.ss @@ -1,21 +1,21 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov #_User_info_available_at:https://vlab.noaa.gov/group/stock-synthesis #_Source_code_at:_https://github.com/nmfs-stock-synthesis/stock-synthesis -#_Start_time: Tue Feb 14 23:48:52 2023 +#_Start_time: Tue Oct 31 17:11:11 2023 #_echo_input_data -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 1927 #_StartYr 2006 #_EndYr 1 #_Nseas 12 #_months/season 2 #_Nsubseasons (even number, minimum is 2) 1 #_spawn_month -2 #_Ngenders: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) +2 #_Nsexes: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) 30 #_Nages=accumulator age, first age is always age 0 1 #_Nareas 5 #_Nfleets (including surveys) @@ -514,7 +514,7 @@ 1 # use length composition data (0/1/2) where 2 invokes new comp_control format #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie @@ -613,7 +613,7 @@ 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie @@ -727,7 +727,7 @@ 30 # max periods ## to track recaptures (units=seasons), after which tags are still read into this accumulator period # COND: TG_min_recap ## use Do_TG=2 to invoke reading TG_min_recap after TG_maxperiods # Release data for each tag group. Tags are considered to be released at the beginning of a season (period) -# area yr season gender age Nrelease (note that the TG and tfill values are placeholders and are replaced by program generated values) +# area yr season sex age Nrelease (note that the TG and tfill values are placeholders and are replaced by program generated values) 1 1 1953 1 1953 1 3 35 2 1 1953 1 1953 2 3 37 3 1 1954 1 1954 1 3 108 diff --git a/models/tagging_mirrored_sel/forecast.ss b/models/tagging_mirrored_sel/forecast.ss index 0eac819..b0fd010 100644 --- a/models/tagging_mirrored_sel/forecast.ss +++ b/models/tagging_mirrored_sel/forecast.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #C generic forecast file converted imperfectly from Andre's file to SSv3.22 # for all year entries except rebuilder; enter either: actual year, -999 for styr, 0 for endyr, neg number for rel. endyr 1 # Benchmarks: 0=skip; 1=calc F_spr,F_btgt,F_msy; 2=calc F_spr,F0.1,F_msy; 3=add F_Blimit; @@ -16,27 +16,47 @@ # where none and simple require no input after this line; simple sets forecast F same as end year F 2 # N forecast years 1 # Fmult (only used for Do_Forecast==5) such that apical_F(f)=Fmult*relF(f) -#_Fcast_years: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) +#_Fcast_years for averaging: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) 0 0 -10 0 -999 0 # 2006 2006 1996 2006 1927 2006 -0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from annual time-vary parms) +0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from time-vary parms). NOTE: logic reverses in new format +# A revised protocol for the Fcast_yr specification is available and recommended. Template is below. +# +#-12345 # code to invoke new format for expanded fcast year controls +# biology and selectivity vectors are updated annually in the forecast according to timevary parameters, so check end year of blocks and dev vectors +# input in this section directs creation of means over historical years to override any time_vary changes +# Factors implemented so far: 1=M, 4=recr_dist, 5=migration, 10=selectivity, 11=rel_F, 12=recruitment +# rel_F and Recruitment also have additional controls later in forecast.ss +# input as list: Factor, method (0, 1), st_yr, end_yr +# Terminate with -9999 for Factor +# st_yr and end_yr input can be actual year; <=0 sets rel. to timeseries endyr; Except -999 for st_yr sets to first year if time series +# Method = 0 (or omitted) continue using time_vary parms; 1 use mean of derived factor over specified year range +# Factor method st_yr end_yr +# 10 1 0 0 # selectivity; use: 10 1 0 0 +# 11 1 -10 0 # rel_F; use: 11 1 -10 0 +# 12 1 -999 0 # recruitment; use: 12 1 -999 0 +#-9999 0 0 0 +# 1 # Control rule method (0: none; 1: ramp does catch=f(SSB), buffer on F; 2: ramp does F=f(SSB), buffer on F; 3: ramp does catch=f(SSB), buffer on catch; 4: ramp does F=f(SSB), buffer on catch) # values for top, bottom and buffer exist, but not used when Policy=0 0.4 # Control rule inflection for constant F (as frac of Bzero, e.g. 0.40); must be > control rule cutoff, or set to -1 to use Bmsy/SSB_unf 0.1 # Control rule cutoff for no F (as frac of Bzero, e.g. 0.10) 1 # Buffer: enter Control rule target as fraction of Flimit (e.g. 0.75), negative value invokes list of [year, scalar] with filling from year to YrMax +# 3 #_N forecast loops (1=OFL only; 2=ABC; 3=get F from forecast ABC catch with allocations applied) -3 #_First forecast loop with stochastic recruitment -0 #_Forecast recruitment: 0= spawn_recr; 1=value*spawn_recr_fxn; 2=value*VirginRecr; 3=recent mean from yr range above (need to set phase to -1 in control to get constant recruitment in MCMC) -1 # value is ignored -0 #_Forecast loop control #5 (reserved for future bells&whistles) -2010 #FirstYear for caps and allocations (should be after years with fixed inputs) +3 # First forecast loop with stochastic recruitment +0 # Forecast base recruitment: 0= spawn_recr; 1=mult*spawn_recr_fxn; 2=mult*VirginRecr; 3=deprecated; 4=mult*mean_over_yr_range +# for option 4, set phase for fore_recr_devs to -1 in control to get constant mean in MCMC, else devs will be applied +1 # Value multiplier is ignored +0 # not used +# +2010 # FirstYear for caps and allocations (should be after years with fixed inputs) 0 # stddev of log(realized catch/target catch) in forecast (set value>0.0 to cause active impl_error) 0 # Do West Coast gfish rebuilder output: 0=no; 1=yes 1999 # Rebuilder: first year catch could have been set to zero (Ydecl)(-1 to set to 1999) 2002 # Rebuilder: year for current age structure (Yinit) (-1 to set to endyear+1) -1 # fleet relative F: 1=use first-last alloc year; 2=read seas, fleet, alloc list below -# Note that fleet allocation is used directly as average F if Do_Forecast=4 +1 # fleet relative F: 1=use mean over year range; 2=read seas, fleet, alloc list below +# Note that fleet allocation values is used directly as F if Do_Forecast=4 2 # basis for fcast catch tuning and for fcast catch caps and allocation (2=deadbio; 3=retainbio; 5=deadnum; 6=retainnum); NOTE: same units for all fleets # Conditional input if relative F choice = 2 # enter list of: season, fleet, relF; if used, terminate with season=-9999 diff --git a/models/tagging_mirrored_sel/ss.par b/models/tagging_mirrored_sel/ss.par index 3e3f0e8..171d713 100644 --- a/models/tagging_mirrored_sel/ss.par +++ b/models/tagging_mirrored_sel/ss.par @@ -1,8 +1,8 @@ -# Number of parameters = 49 Objective function value = 959.214126145886 Maximum gradient component = 0.00498891154756487 +# Number of parameters = 49 Objective function value = 959.214126108412 Maximum gradient component = 0.00486940267140580 # dummy_parm: 1.00000000000 # MGparm[1]: -0.150000146339 +0.150000148513 # MGparm[2]: 54.4000000000 # MGparm[3]: @@ -10,9 +10,9 @@ # MGparm[4]: 0.123000000000 # MGparm[5]: -0.0685696919933 +0.0685696806623 # MGparm[6]: -0.0278141475133 +0.0278141833621 # MGparm[7]: 1.22000000000e-06 # MGparm[8]: @@ -26,7 +26,7 @@ # MGparm[12]: 0.00000000000 # MGparm[13]: -0.150000167922 +0.150000166386 # MGparm[14]: 52.9000000000 # MGparm[15]: @@ -34,9 +34,9 @@ # MGparm[16]: 0.253000000000 # MGparm[17]: -0.0460607563442 +0.0460607557904 # MGparm[18]: -0.0677678959198 +0.0677679006969 # MGparm[19]: 4.38000000000e-06 # MGparm[20]: @@ -52,7 +52,7 @@ # MGparm[25]: 0.500000000000 # SR_parm[1]: -6.56044733056 +6.56044732536 # SR_parm[2]: 0.900000000000 # SR_parm[3]: @@ -62,11 +62,11 @@ # SR_parm[5]: 0.00000000000 # recdev1: - -0.415582447511 -0.364470008629 0.230329525064 0.678983009582 -0.0392969943197 0.179410415525 -0.0288961122168 0.111678888302 -0.218670213310 0.0166235585251 -0.0110340803515 -0.189561532645 0.0579245569022 -0.355667564746 -0.0980983102101 0.312478550908 -0.335778247880 -0.0383914906897 0.275017660919 -0.177244971967 0.0868404404710 -0.0446390677588 0.133795928355 0.0689071748319 -0.0544518099656 -0.00757529852127 0.294358247209 0.115015991688 0.0276092657149 -0.376054194313 -0.451285201023 -0.0685621718697 0.00193086710741 0.0523239697685 0.241766053656 0.174739373988 0.181529965870 0.0359536581308 -0.00195738459346 + -0.415582467242 -0.364470093138 0.230329514389 0.678983058057 -0.0392970466230 0.179410506041 -0.0288961891222 0.111678933960 -0.218670341300 0.0166235694461 -0.0110340009200 -0.189561587380 0.0579246154146 -0.355667589304 -0.0980981646749 0.312478445827 -0.335778128967 -0.0383914985966 0.275017679388 -0.177244984601 0.0868404667151 -0.0446391011587 0.133795925598 0.0689071617960 -0.0544517886088 -0.00757534229677 0.294358278266 0.115015937539 0.0276093236149 -0.376054291589 -0.451285095679 -0.0685621875910 0.00193083238244 0.0523239977107 0.241766029921 0.174739420251 0.181529919957 0.0359535954715 -0.00195731295423 # Fcast_recruitments: 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 # Q_parm[1]: --3.17096832492 +-3.17096826212 # selparm[1]: 32.5000000000 # selparm[2]: @@ -530,15 +530,15 @@ # selparm[231]: 1.00000000000 # selparm[232]: --4.25267891584 +-4.25267957022 # selparm[233]: 8.00000000000 # selparm[234]: -2.34493137855 +2.34493147285 # selparm[235]: 9.00000000000 # selparm[236]: --1.77664441469 +-1.77664450125 # TG_parm[1]: -2.57100000000 # TG_parm[2]: diff --git a/models/tagging_mirrored_sel/ss_summary.sso b/models/tagging_mirrored_sel/ss_summary.sso index 3090266..b8ee855 100644 --- a/models/tagging_mirrored_sel/ss_summary.sso +++ b/models/tagging_mirrored_sel/ss_summary.sso @@ -1,8 +1,8 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 data_boot_new.ss #_DataFile control.ss #_Control -Run_Date: Tue Feb 14 23:47:47 2023 -Final_phase: 5 N_iterations: 410 +Run_Date: Tue Oct 31 17:09:47 2023 +Final_phase: 5 N_iterations: 409 #_LIKELIHOOD Label logL*Lambda TOTAL_LogL 959.214 @@ -14,7 +14,7 @@ Tag_Data_1 0.334667 Tag_Data_2 408.153 Recruitment -23.4645 InitEQ_regime 0 -Sum_recdevs -5.68122e-17 +Sum_recdevs -3.17454e-16 Forecast_Recruitment 0 Parm_priors 1.62747 Parm_softbounds 0.000759331 @@ -24,19 +24,19 @@ Crash_Pen 0 #_PARAMETERS #label value se active? range #_BIOLOGY -NatM_uniform_Fem_GP_1 0.15 6.48111e-05 Act 9.75584e-07 +NatM_uniform_Fem_GP_1 0.15 6.56055e-05 Act 9.9008e-07 L_at_Amin_Fem_GP_1 54.4 0 Fix 0.52 L_at_Amax_Fem_GP_1 201.9 0 Fix 0.348286 VonBert_K_Fem_GP_1 0.123 0 Fix 0.243333 CV_young_Fem_GP_1 0.0685697 0.0144813 Act 0.272823 -CV_old_Fem_GP_1 0.0278141 0.0433513 Act 0.109475 +CV_old_Fem_GP_1 0.0278142 0.0433513 Act 0.109475 Wtlen_1_Fem_GP_1 1.22e-06 0 Fix 0.5 Wtlen_2_Fem_GP_1 3.18 0 Fix 0.393333 Mat50%_Fem_GP_1 63.7 0 Fix 0.0665005 Mat_slope_Fem_GP_1 -9 0 Fix 0.000990099 Eggs/kg_inter_Fem_GP_1 1 0 Fix 0.666667 Eggs/kg_slope_wt_Fem_GP_1 0 0 Fix 0.5 -NatM_uniform_Mal_GP_1 0.15 5.84312e-05 Act 1.11947e-06 +NatM_uniform_Mal_GP_1 0.15 5.80552e-05 Act 1.10923e-06 L_at_Amin_Mal_GP_1 52.9 0 Fix 0.504211 L_at_Amax_Mal_GP_1 138.7 0 Fix 0.167714 VonBert_K_Mal_GP_1 0.253 0 Fix 0.676664 @@ -59,41 +59,41 @@ Main_RecrDev_1964 -0.415582 0.304683 Act 0.458442 Main_RecrDev_1965 -0.36447 0.273699 Act 0.463553 Main_RecrDev_1966 0.23033 0.249174 Act 0.523033 Main_RecrDev_1967 0.678983 0.211137 Act 0.567898 -Main_RecrDev_1968 -0.039297 0.243027 Act 0.49607 -Main_RecrDev_1969 0.17941 0.187829 Act 0.517941 -Main_RecrDev_1970 -0.0288961 0.190335 Act 0.49711 +Main_RecrDev_1968 -0.039297 0.243028 Act 0.49607 +Main_RecrDev_1969 0.179411 0.187829 Act 0.517941 +Main_RecrDev_1970 -0.0288962 0.190335 Act 0.49711 Main_RecrDev_1971 0.111679 0.15888 Act 0.511168 Main_RecrDev_1972 -0.21867 0.190558 Act 0.478133 Main_RecrDev_1973 0.0166236 0.155329 Act 0.501662 -Main_RecrDev_1974 -0.0110341 0.152728 Act 0.498897 +Main_RecrDev_1974 -0.011034 0.152728 Act 0.498897 Main_RecrDev_1975 -0.189562 0.163508 Act 0.481044 Main_RecrDev_1976 0.0579246 0.137918 Act 0.505792 Main_RecrDev_1977 -0.355668 0.174593 Act 0.464433 -Main_RecrDev_1978 -0.0980983 0.150094 Act 0.49019 -Main_RecrDev_1979 0.312479 0.116259 Act 0.531248 +Main_RecrDev_1978 -0.0980982 0.150094 Act 0.49019 +Main_RecrDev_1979 0.312478 0.116259 Act 0.531248 Main_RecrDev_1980 -0.335778 0.165763 Act 0.466422 Main_RecrDev_1981 -0.0383915 0.13449 Act 0.496161 Main_RecrDev_1982 0.275018 0.102145 Act 0.527502 Main_RecrDev_1983 -0.177245 0.126745 Act 0.482275 -Main_RecrDev_1984 0.0868404 0.111746 Act 0.508684 +Main_RecrDev_1984 0.0868405 0.111746 Act 0.508684 Main_RecrDev_1985 -0.0446391 0.124837 Act 0.495536 Main_RecrDev_1986 0.133796 0.108699 Act 0.51338 Main_RecrDev_1987 0.0689072 0.104054 Act 0.506891 Main_RecrDev_1988 -0.0544518 0.107971 Act 0.494555 -Main_RecrDev_1989 -0.0075753 0.115764 Act 0.499242 +Main_RecrDev_1989 -0.00757534 0.115765 Act 0.499242 Main_RecrDev_1990 0.294358 0.108581 Act 0.529436 Main_RecrDev_1991 0.115016 0.130441 Act 0.511502 Main_RecrDev_1992 0.0276093 0.137072 Act 0.502761 Main_RecrDev_1993 -0.376054 0.156665 Act 0.462395 Main_RecrDev_1994 -0.451285 0.157879 Act 0.454871 Main_RecrDev_1995 -0.0685622 0.132189 Act 0.493144 -Main_RecrDev_1996 0.00193087 0.13802 Act 0.500193 +Main_RecrDev_1996 0.00193083 0.13802 Act 0.500193 Main_RecrDev_1997 0.052324 0.140565 Act 0.505232 Main_RecrDev_1998 0.241766 0.131736 Act 0.524177 Main_RecrDev_1999 0.174739 0.141722 Act 0.517474 Main_RecrDev_2000 0.18153 0.147876 Act 0.518153 -Main_RecrDev_2001 0.0359537 0.183533 Act 0.503595 -Main_RecrDev_2002 -0.00195738 0.269992 Act 0.499804 +Main_RecrDev_2001 0.0359536 0.183533 Act 0.503595 +Main_RecrDev_2002 -0.00195731 0.269992 Act 0.499804 Late_RecrDev_2003 0 0 Fix 0.5 Late_RecrDev_2004 0 0 Fix 0.5 Late_RecrDev_2005 0 0 Fix 0.5 @@ -336,9 +336,9 @@ SizeSel_P46_Cpue5(5) -10.905 0 Fix -0.194216 Age_DblN_peak_cpue1(1) 1 0 Fix 0.02 Age_DblN_top_logit_cpue1(1) -4.25268 1.34711 Act 0.287366 Age_DblN_ascend_se_cpue1(1) 8 0 Fix 0.818182 -Age_DblN_descend_se_cpue1(1) 2.34493 0.281235 Act 0.304085 +Age_DblN_descend_se_cpue1(1) 2.34493 0.281237 Act 0.304085 Age_DblN_start_logit_cpue1(1) 9 0 Fix 0.933333 -Age_DblN_end_logit_cpue1(1) -1.77664 0.158916 Act 0.21489 +Age_DblN_end_logit_cpue1(1) -1.77664 0.158917 Act 0.21489 #_Tag_Recapture TG_loss_init_1 -2.571 0 Fix 0.37145 TG_loss_init_2 -2.571 0 Fix 0.37145 @@ -466,96 +466,96 @@ TG_rpt_decay_fleet:_4 0 0 Fix 0.5 TG_rpt_decay_fleet:_5 0 0 Fix 0.5 #_Derived_Quantities #_Spawn_Bio -SSB_Virgin 17398.5 523.753 -SSB_Initial 17398.5 523.753 -SSB_1927 17398.5 523.753 -SSB_1928 17397.7 523.767 -SSB_1929 17396.8 523.78 -SSB_1930 17392.9 523.839 -SSB_1931 17390.5 523.853 -SSB_1932 17388.2 523.852 -SSB_1933 17384.8 523.859 -SSB_1934 17358.4 524.254 -SSB_1935 17339.4 524.415 -SSB_1936 17306.7 524.711 -SSB_1937 17249.3 525.283 -SSB_1938 17186.6 525.705 -SSB_1939 17120.8 525.915 -SSB_1940 17036.1 526.206 -SSB_1941 16943.4 526.375 -SSB_1942 16806.2 527.075 -SSB_1943 16682.9 527.133 -SSB_1944 16520.2 527.557 -SSB_1945 16346.6 527.749 -SSB_1946 16184.4 527.327 -SSB_1947 16017.7 526.704 -SSB_1948 15852.1 525.88 -SSB_1949 15643.6 525.719 -SSB_1950 15404.2 525.877 -SSB_1951 15191 525.217 -SSB_1952 15055 522.972 -SSB_1953 14892.8 521.345 -SSB_1954 14686.8 520.69 -SSB_1955 14578 518.534 -SSB_1956 14461.3 516.907 -SSB_1957 14349.6 515.576 -SSB_1958 14303.3 513.584 -SSB_1959 14282.3 511.767 -SSB_1960 14264.3 510.532 -SSB_1961 14218.2 510.289 -SSB_1962 14168.8 510.409 -SSB_1963 14101.8 510.885 -SSB_1964 14043.8 511.098 -SSB_1965 13926.6 512.042 -SSB_1966 13830 512.085 -SSB_1967 13717.9 512.15 -SSB_1968 13517.6 515.918 -SSB_1969 13249.5 523.868 -SSB_1970 12885.8 540.464 -SSB_1971 12623.9 561.388 -SSB_1972 12451.1 587.941 -SSB_1973 12253.7 620.294 -SSB_1974 11992.1 655.962 -SSB_1975 11826.3 690.822 -SSB_1976 11671.5 720.11 -SSB_1977 11478.4 740.516 -SSB_1978 11242.8 751.679 -SSB_1979 10963.5 754.149 -SSB_1980 10678.6 749.262 -SSB_1981 10335.8 738.873 -SSB_1982 9950.63 724.586 -SSB_1983 9565.06 707.433 -SSB_1984 9165.05 688.16 -SSB_1985 8735.3 667.939 -SSB_1986 8320.31 647.473 -SSB_1987 7912.97 627.146 -SSB_1988 7536.92 607.752 -SSB_1989 7193.41 589.561 -SSB_1990 6807.95 572.467 -SSB_1991 6518.26 556.82 -SSB_1992 6210.14 542.048 -SSB_1993 5911.31 528.244 -SSB_1994 5610.99 514.355 -SSB_1995 5400.07 500.747 -SSB_1996 5163.34 486.437 -SSB_1997 4974.7 472.369 -SSB_1998 4768.5 458.385 -SSB_1999 4592.46 444.602 -SSB_2000 4407.64 430.835 -SSB_2001 4206.71 417.426 -SSB_2002 4027.53 405.334 -SSB_2003 3893.14 395.659 -SSB_2004 3768 388.743 -SSB_2005 3679.51 385.519 +SSB_Virgin 17398.5 523.761 +SSB_Initial 17398.5 523.761 +SSB_1927 17398.5 523.761 +SSB_1928 17397.7 523.774 +SSB_1929 17396.8 523.787 +SSB_1930 17392.9 523.846 +SSB_1931 17390.5 523.861 +SSB_1932 17388.2 523.859 +SSB_1933 17384.8 523.866 +SSB_1934 17358.4 524.261 +SSB_1935 17339.4 524.423 +SSB_1936 17306.7 524.718 +SSB_1937 17249.3 525.291 +SSB_1938 17186.6 525.712 +SSB_1939 17120.8 525.922 +SSB_1940 17036.1 526.214 +SSB_1941 16943.4 526.382 +SSB_1942 16806.2 527.083 +SSB_1943 16682.9 527.14 +SSB_1944 16520.2 527.564 +SSB_1945 16346.6 527.756 +SSB_1946 16184.4 527.334 +SSB_1947 16017.7 526.711 +SSB_1948 15852.1 525.886 +SSB_1949 15643.6 525.725 +SSB_1950 15404.2 525.884 +SSB_1951 15191 525.223 +SSB_1952 15055 522.978 +SSB_1953 14892.8 521.351 +SSB_1954 14686.8 520.696 +SSB_1955 14578 518.54 +SSB_1956 14461.3 516.913 +SSB_1957 14349.6 515.582 +SSB_1958 14303.3 513.59 +SSB_1959 14282.3 511.773 +SSB_1960 14264.3 510.537 +SSB_1961 14218.2 510.294 +SSB_1962 14168.8 510.415 +SSB_1963 14101.8 510.89 +SSB_1964 14043.8 511.103 +SSB_1965 13926.6 512.047 +SSB_1966 13830 512.09 +SSB_1967 13717.9 512.155 +SSB_1968 13517.6 515.923 +SSB_1969 13249.5 523.873 +SSB_1970 12885.8 540.469 +SSB_1971 12623.9 561.393 +SSB_1972 12451.1 587.945 +SSB_1973 12253.7 620.298 +SSB_1974 11992.1 655.966 +SSB_1975 11826.3 690.825 +SSB_1976 11671.5 720.113 +SSB_1977 11478.4 740.519 +SSB_1978 11242.8 751.681 +SSB_1979 10963.5 754.151 +SSB_1980 10678.6 749.265 +SSB_1981 10335.8 738.875 +SSB_1982 9950.63 724.588 +SSB_1983 9565.06 707.435 +SSB_1984 9165.05 688.162 +SSB_1985 8735.3 667.941 +SSB_1986 8320.31 647.475 +SSB_1987 7912.97 627.148 +SSB_1988 7536.92 607.754 +SSB_1989 7193.41 589.563 +SSB_1990 6807.95 572.468 +SSB_1991 6518.26 556.822 +SSB_1992 6210.14 542.05 +SSB_1993 5911.31 528.246 +SSB_1994 5610.99 514.356 +SSB_1995 5400.07 500.749 +SSB_1996 5163.34 486.439 +SSB_1997 4974.7 472.371 +SSB_1998 4768.5 458.386 +SSB_1999 4592.46 444.604 +SSB_2000 4407.64 430.836 +SSB_2001 4206.71 417.427 +SSB_2002 4027.53 405.335 +SSB_2003 3893.14 395.66 +SSB_2004 3768 388.744 +SSB_2005 3679.51 385.52 SSB_2006 3594.26 386.118 SSB_2007 3532.95 391.343 -SSB_2008 3567.69 395.335 +SSB_2008 3567.69 395.336 #_Recruitment Recr_Virgin 706.588 21.2584 Recr_Initial 706.588 21.2584 Recr_1927 706.588 21.2584 Recr_1928 706.587 21.2584 -Recr_1929 706.586 21.2584 +Recr_1929 706.586 21.2585 Recr_1930 706.581 21.2585 Recr_1931 706.579 21.2585 Recr_1932 706.576 21.2585 @@ -596,7 +596,7 @@ Recr_1966 883.274 225.987 Recr_1967 1369.23 288.894 Recr_1968 660.639 164.727 Recr_1969 813.379 154.443 -Recr_1970 653.192 127.221 +Recr_1970 653.191 127.221 Recr_1971 743.728 119.238 Recr_1972 528.901 102.963 Recr_1973 662.139 104.487 @@ -608,7 +608,7 @@ Recr_1978 582.457 89.3888 Recr_1979 877.216 102.004 Recr_1980 458.216 77.5086 Recr_1981 616.004 84.4444 -Recr_1982 841.249 86.3151 +Recr_1982 841.249 86.3152 Recr_1983 534.167 69.27 Recr_1984 694.117 77.8431 Recr_1985 607.063 76.8859 @@ -622,7 +622,7 @@ Recr_1992 638.566 86.3026 Recr_1993 424.886 67.5527 Recr_1994 392.465 62.8359 Recr_1995 573.637 76.1194 -Recr_1996 613.164 84.7457 +Recr_1996 613.164 84.7458 Recr_1997 642.715 91.1677 Recr_1998 773.73 101.048 Recr_1999 720.96 104.391 @@ -631,7 +631,7 @@ Recr_2001 621.964 115.86 Recr_2002 596.024 164.641 Recr_2003 644.486 24.005 Recr_2004 642.072 24.1587 -Recr_2005 640.277 24.3111 +Recr_2005 640.277 24.3112 Recr_2006 638.475 24.5777 Recr_2007 637.132 24.892 Recr_2008 637.898 24.8823 @@ -650,7 +650,7 @@ SPRratio_1937 0.151236 0.00384418 SPRratio_1938 0.148242 0.00378749 SPRratio_1939 0.193764 0.0049024 SPRratio_1940 0.208313 0.00527132 -SPRratio_1941 0.326121 0.0079855 +SPRratio_1941 0.326121 0.00798549 SPRratio_1942 0.274812 0.00689617 SPRratio_1943 0.37651 0.00920041 SPRratio_1944 0.396668 0.00971469 @@ -685,12 +685,12 @@ SPRratio_1972 1.01937 0.0610924 SPRratio_1973 1.21175 0.0628093 SPRratio_1974 1.13089 0.0541209 SPRratio_1975 1.08101 0.0489806 -SPRratio_1976 1.17565 0.0481331 +SPRratio_1976 1.17565 0.0481332 SPRratio_1977 1.27055 0.0490784 SPRratio_1978 1.24074 0.0510795 SPRratio_1979 1.11174 0.0511409 SPRratio_1980 1.29677 0.0539358 -SPRratio_1981 1.44587 0.0546473 +SPRratio_1981 1.44587 0.0546474 SPRratio_1982 1.52606 0.0533093 SPRratio_1983 1.48569 0.0557759 SPRratio_1984 1.6047 0.0528065 @@ -708,7 +708,7 @@ SPRratio_1995 1.77868 0.033555 SPRratio_1996 1.50889 0.0468083 SPRratio_1997 1.64658 0.046513 SPRratio_1998 1.5647 0.0523506 -SPRratio_1999 1.70844 0.0468256 +SPRratio_1999 1.70844 0.0468257 SPRratio_2000 1.75859 0.0455603 SPRratio_2001 1.7727 0.046124 SPRratio_2002 1.58984 0.0591227 @@ -721,44 +721,44 @@ SPRratio_2008 0.78306 0.0490994 #_F Basis= _abs_F;_with_F=Exploit(bio) F_1927 6.79378e-05 2.01972e-06 F_1928 7.76696e-05 2.30918e-06 -F_1929 0.000329241 9.78928e-06 -F_1930 0.000160138 4.76283e-06 +F_1929 0.000329241 9.7893e-06 +F_1930 0.000160138 4.76284e-06 F_1931 0.000129682 3.85749e-06 -F_1932 0.000217375 6.46653e-06 -F_1933 0.00225199 6.70034e-05 -F_1934 0.00137989 4.11427e-05 -F_1935 0.0024365 7.27283e-05 -F_1936 0.00439895 0.000131576 +F_1932 0.000217375 6.46655e-06 +F_1933 0.002252 6.70036e-05 +F_1934 0.00137989 4.11428e-05 +F_1935 0.0024365 7.27284e-05 +F_1936 0.00439896 0.000131576 F_1937 0.00447564 0.000134379 F_1938 0.00438485 0.000132126 -F_1939 0.00580435 0.000175458 -F_1940 0.00626788 0.000190284 +F_1939 0.00580435 0.000175459 +F_1940 0.00626788 0.000190285 F_1941 0.0101347 0.000309024 F_1942 0.00841836 0.00025869 -F_1943 0.0118828 0.000367155 -F_1944 0.0126002 0.000392587 +F_1943 0.0118828 0.000367156 +F_1944 0.0126002 0.000392588 F_1945 0.0113288 0.000355938 -F_1946 0.0119144 0.00037674 +F_1946 0.0119144 0.000376741 F_1947 0.0121921 0.000387973 -F_1948 0.017009 0.000544506 -F_1949 0.0204245 0.000660496 -F_1950 0.0179014 0.000586283 -F_1951 0.0103769 0.000342985 +F_1948 0.017009 0.000544507 +F_1949 0.0204245 0.000660498 +F_1950 0.0179014 0.000586284 +F_1951 0.0103769 0.000342986 F_1952 0.014531 0.000480729 -F_1953 0.0206254 0.000685454 -F_1954 0.0112286 0.000376924 -F_1955 0.0138155 0.000463767 +F_1953 0.0206254 0.000685455 +F_1954 0.0112286 0.000376925 +F_1955 0.0138155 0.000463768 F_1956 0.0148724 0.000500358 F_1957 0.00911591 0.00030759 -F_1958 0.00826722 0.000278108 +F_1958 0.00826722 0.000278109 F_1959 0.00993627 0.000332963 -F_1960 0.0146819 0.000490949 -F_1961 0.0157728 0.000528839 +F_1960 0.0146819 0.00049095 +F_1961 0.0157728 0.00052884 F_1962 0.017845 0.000600514 -F_1963 0.0165139 0.000558801 -F_1964 0.0228266 0.000775427 -F_1965 0.020875 0.000735877 -F_1966 0.0221969 0.000828458 +F_1963 0.0165139 0.000558802 +F_1964 0.0228266 0.000775428 +F_1965 0.020875 0.000735878 +F_1966 0.0221969 0.000828459 F_1967 0.031092 0.00125127 F_1968 0.0367347 0.00161126 F_1969 0.0465334 0.00223847 @@ -768,69 +768,69 @@ F_1972 0.0529261 0.00306979 F_1973 0.0680456 0.00413604 F_1974 0.0585129 0.00372068 F_1975 0.0512501 0.0033388 -F_1976 0.055222 0.00363994 +F_1976 0.055222 0.00363995 F_1977 0.0601094 0.00399783 F_1978 0.0563494 0.00380384 F_1979 0.0481703 0.00327996 F_1980 0.0605661 0.00408425 F_1981 0.0721469 0.00487593 F_1982 0.0846361 0.00577381 -F_1983 0.0815591 0.00564136 -F_1984 0.0941257 0.00657456 +F_1983 0.0815591 0.00564137 +F_1984 0.0941257 0.00657457 F_1985 0.09173 0.00652173 F_1986 0.0956988 0.00689184 -F_1987 0.0926351 0.00674325 +F_1987 0.0926352 0.00674325 F_1988 0.0902382 0.00658237 F_1989 0.136393 0.00991119 -F_1990 0.0807455 0.00611713 -F_1991 0.116001 0.00850788 -F_1992 0.115755 0.00840389 +F_1990 0.0807455 0.00611714 +F_1991 0.116001 0.00850789 +F_1992 0.115755 0.0084039 F_1993 0.148722 0.0105851 -F_1994 0.108448 0.0078841 +F_1994 0.108448 0.00788411 F_1995 0.168488 0.0121465 F_1996 0.106569 0.0081629 -F_1997 0.117925 0.00897371 +F_1997 0.117925 0.00897372 F_1998 0.105267 0.00798462 F_1999 0.136762 0.0100492 F_2000 0.152358 0.0111755 -F_2001 0.165671 0.0123354 +F_2001 0.165671 0.0123355 F_2002 0.136142 0.0105508 F_2003 0.164287 0.0130482 F_2004 0.143473 0.012279 F_2005 0.160469 0.0146543 F_2006 0.142608 0.0140971 F_2007 0.0488635 0.0036351 -F_2008 0.0535372 0.0026816 +F_2008 0.0535372 0.00268161 #_Depletion Basis= 100%*Virgin_Biomass -Bratio_1928 0.999956 2.69447e-06 +Bratio_1928 0.999956 2.69448e-06 Bratio_1929 0.999901 5.59289e-06 Bratio_1930 0.999678 1.8216e-05 Bratio_1931 0.99954 2.32845e-05 -Bratio_1932 0.999407 2.66895e-05 -Bratio_1933 0.999211 3.31113e-05 +Bratio_1932 0.999407 2.66896e-05 +Bratio_1933 0.999211 3.31114e-05 Bratio_1934 0.997698 0.000118504 Bratio_1935 0.996605 0.000164556 -Bratio_1936 0.994725 0.00024769 -Bratio_1937 0.991427 0.000400198 -Bratio_1938 0.987823 0.000544138 -Bratio_1939 0.984037 0.000672733 -Bratio_1940 0.979173 0.000843109 +Bratio_1936 0.994725 0.000247691 +Bratio_1937 0.991427 0.000400199 +Bratio_1938 0.987823 0.000544139 +Bratio_1939 0.984037 0.000672734 +Bratio_1940 0.979173 0.00084311 Bratio_1941 0.973843 0.00101667 -Bratio_1942 0.965956 0.00131653 +Bratio_1942 0.965956 0.00131654 Bratio_1943 0.958869 0.00153219 Bratio_1944 0.949517 0.00185065 Bratio_1945 0.939539 0.00216781 Bratio_1946 0.930219 0.00241508 Bratio_1947 0.920637 0.00265854 -Bratio_1948 0.911118 0.00288849 -Bratio_1949 0.899133 0.00324681 -Bratio_1950 0.885375 0.00368208 -Bratio_1951 0.873122 0.00400884 +Bratio_1948 0.911118 0.0028885 +Bratio_1949 0.899133 0.00324682 +Bratio_1950 0.885375 0.00368209 +Bratio_1951 0.873122 0.00400885 Bratio_1952 0.865304 0.00409105 -Bratio_1953 0.85598 0.00427175 +Bratio_1953 0.85598 0.00427176 Bratio_1954 0.844142 0.00459573 Bratio_1955 0.837888 0.00465343 -Bratio_1956 0.831183 0.00476298 +Bratio_1956 0.831183 0.00476299 Bratio_1957 0.824759 0.00488384 Bratio_1958 0.822099 0.00485775 Bratio_1959 0.820891 0.00480392 @@ -838,16 +838,16 @@ Bratio_1960 0.819857 0.00477729 Bratio_1961 0.81721 0.00484484 Bratio_1962 0.814367 0.00493577 Bratio_1963 0.810519 0.00507404 -Bratio_1964 0.807182 0.00518512 +Bratio_1964 0.807182 0.00518513 Bratio_1965 0.800446 0.00543547 Bratio_1966 0.794896 0.00560097 Bratio_1967 0.788454 0.0057976 Bratio_1968 0.776942 0.00641783 -Bratio_1969 0.761531 0.00750852 +Bratio_1969 0.761531 0.00750853 Bratio_1970 0.740625 0.0094069 Bratio_1971 0.725572 0.0116335 Bratio_1972 0.715643 0.0141316 -Bratio_1973 0.704295 0.017072 +Bratio_1973 0.704295 0.0170721 Bratio_1974 0.689261 0.0202189 Bratio_1975 0.67973 0.023079 Bratio_1976 0.670832 0.0254244 @@ -884,30 +884,30 @@ Bratio_2006 0.206584 0.0169114 Bratio_2007 0.203061 0.0172502 Bratio_2008 0.205057 0.0174167 #_Mgmt_Quantity -SSB_unfished 17398.5 523.753 -Totbio_unfished 25910.5 770.279 -SmryBio_unfished 25834.8 768.039 +SSB_unfished 17398.5 523.761 +Totbio_unfished 25910.5 770.28 +SmryBio_unfished 25834.8 768.04 Recr_unfished 706.588 21.2584 -SSB_Btgt 8699.25 261.877 -SPR_Btgt 0.513889 3.78433e-18 -annF_Btgt 0.0518592 0.000574592 +SSB_Btgt 8699.25 261.881 +SPR_Btgt 0.513889 2.98781e-18 +annF_Btgt 0.0518592 0.000574599 Dead_Catch_Btgt 741.396 19.3893 -SSB_SPR 8450.7 254.395 -annF_SPR 0.0543757 0.000594027 +SSB_SPR 8450.7 254.398 +annF_SPR 0.0543757 0.000594034 Dead_Catch_SPR 759.47 19.8571 -SSB_MSY 8699.25 261.877 -SPR_MSY 0.513889 3.78433e-18 -annF_MSY 0.0518592 0.000574592 +SSB_MSY 8699.25 261.881 +SPR_MSY 0.513889 2.98781e-18 +annF_MSY 0.0518592 0.000574599 Dead_Catch_MSY 741.396 19.3893 Ret_Catch_MSY 741.396 19.3893 -B_MSY/SSB_unfished 0.5 1.07336e-17 +B_MSY/SSB_unfished 0.5 1.54976e-18 ForeCatch_2007 343.078 60.1747 ForeCatch_2008 413.581 57.0462 OFLCatch_2007 496.413 57.4082 OFLCatch_2008 592.741 42.1694 #_Extra_stdev -ln(SPB)_1927 9.76414 0.0301034 -ln(SPB)_1966 9.53459 0.0370271 +ln(SPB)_1927 9.76414 0.0301038 +ln(SPB)_1966 9.53459 0.0370275 ln(SPB)_2006 8.18709 0.107426 SmryBio_Virgin 25834.8 0.0 SmryBio_Initial 25834.8 0.0 @@ -1039,7 +1039,7 @@ TotBio_1965 21505.4 0.0 TotBio_1966 21169.7 0.0 TotBio_1967 20899.4 0.0 TotBio_1968 20650.5 0.0 -TotBio_1969 20467.4 0.0 +TotBio_1969 20467.3 0.0 TotBio_1970 20175.5 0.0 TotBio_1971 20188.3 0.0 TotBio_1972 20215.5 0.0 diff --git a/models/tagging_mirrored_sel/starter.ss b/models/tagging_mirrored_sel/starter.ss index 754030f..b2735ac 100644 --- a/models/tagging_mirrored_sel/starter.ss +++ b/models/tagging_mirrored_sel/starter.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -9,9 +9,9 @@ data_boot_new.ss control.ss 0 # 0=use init values in control file; 1=use ss.par -1 # run display detail (0,1,2) +1 # run display detail (0 = minimal; 1=one line per iter; 2=each logL) 1 # detailed output (0=minimal for data-limited, 1=high (w/ wtatage.ss_new), 2=brief, 3=custom) -# custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end +#COND: custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end 0 # write 1st iteration details to echoinput.sso file (0,1) 0 # write parm values to ParmTrace.sso (0=no,1=good,active; 2=good,all; 3=every_iter,all_parms; 4=every,active) 0 # write to cumreport.sso (0=no,1=like×eries; 2=add survey fits) @@ -27,7 +27,7 @@ control.ss 1925 # min yr for sdreport outputs (-1 for styr); #_1925 2008 # max yr for sdreport outputs (-1 for endyr+1; -2 for endyr+Nforecastyrs); #_2008 0 # N individual STD years -#vector of year values +#COND: vector of year values if N>0 1e-06 # final convergence criteria (e.g. 1.0e-04) 0 # retrospective year relative to end year (e.g. -4) @@ -35,10 +35,10 @@ control.ss 1 # Depletion basis: denom is: 0=skip; 1=X*SPBvirgin; 2=X*SPBmsy; 3=X*SPB_styr; 4=X*SPB_endyr; 5=X*dyn_Bzero; values>=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) 1 # Fraction (X) for Depletion denominator (e.g. 0.4) 3 # SPR_report_basis: 0=skip; 1=(1-SPR)/(1-SPR_tgt); 2=(1-SPR)/(1-SPR_MSY); 3=(1-SPR)/(1-SPR_Btarget); 4=rawSPR -1 # F_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=true F for range of ages; 5=unweighted avg. F for range of ages -#COND 10 15 #_min and max age over which average F will be calculated with F_reporting=4 or 5 -0 # F_std_basis: 0=raw_annual_F; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual_F; values >=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) +1 # F_std_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=mean F for range of ages (numbers weighted); 5=unweighted mean F for range of ages +#COND 10 15 #_min and max age over which mean F will be calculated with F_reporting=4 or 5 +0 # F_std_scaling: 0=no scaling; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual F_std, Fmsy means F_std@msy; values >=11 invoke N multiyr (up to 9!) using 10's digit; >100 invokes log(ratio) 0 # MCMC output detail: integer part (0=default; 1=adds obj func components; 2= +write_report_for_each_mceval); and decimal part (added to SR_LN(R0) on first call to mcmc) -0 # ALK tolerance ***disabled in code (example 0.0001) --1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1676418532 +0 # ALK tolerance ***disabled in code +-1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1698772271 3.30 # check value for end of file and for version control diff --git a/models/tagging_mirrored_sel/warning.sso b/models/tagging_mirrored_sel/warning.sso index dedf5f3..c69fdcc 100644 --- a/models/tagging_mirrored_sel/warning.sso +++ b/models/tagging_mirrored_sel/warning.sso @@ -141,10 +141,11 @@ Warning 138 : parameter init value is less than parameter min -8.99986 < -1 for Warning 139 : parameter init value is less than parameter min -9.93602 < -1 for parm: 229; search for in echoinput.sso for parm_type Warning 140 : parameter init value is less than parameter min -10.905 < -1 for parm: 230; search for in echoinput.sso for parm_type Warning 141 : Setting in starter does not request all priors, and 142 parameters have priors and are not estimated, so their prior not included in obj_fun. -Warning 142 : fleet: 2 lencomp has obs with partition==2; will treat as partition=0 because retention not defined; N= 62 -Warning 143 : Fleet: 2 agecomp has obs with partition==2; will treat as partition=0 because retention not defined; N= 12 -Warning 144 : fleet: 4 lencomp has obs with partition==2; will treat as partition=0 because retention not defined; N= 10 -Warning 145 : Final gradient: 0.00498891 is larger than final_conv: 1e-06 +Warning 142 : fleet: 2 lencomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 62 +Warning 143 Adjustment: Fleet: 2 agecomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 12 +Warning 144 : fleet: 4 lencomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 10 +Warning 145 : Final gradient: 0.0048694 is larger than final_conv: 1e-06 +Note 3 Information: A revised protocol for the Fcast_yr specification is available and recommended. Warning 146 : Reminder: Number of lamdas !=0.0 and !=1.0: 38 -Note 3 Information: N parameters that are on or within 1% of min-max bound: 2; check results, variance may be suspect - 146 warnings and 3 notes +Note 4 Information: N parameters that are on or within 1% of min-max bound: 2; check results, variance may be suspect + 146 warnings and 4 notes diff --git a/models/tagging_mirrored_sel/wtatage.ss b/models/tagging_mirrored_sel/wtatage.ss index 92bb041..1ec613b 100644 --- a/models/tagging_mirrored_sel/wtatage.ss +++ b/models/tagging_mirrored_sel/wtatage.ss @@ -8,7 +8,7 @@ #Yr Seas Sex Bio_Pattern BirthSeas Fleet 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 1927 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1927 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1927 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1927 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1927 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1927 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1927 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -24,7 +24,7 @@ 1927 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1928 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1928 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1928 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1928 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1928 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1928 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1928 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -40,7 +40,7 @@ 1928 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1929 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1929 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1929 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1929 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1929 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1929 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1929 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -56,7 +56,7 @@ 1929 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1930 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1930 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1930 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1930 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1930 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1930 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1930 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -72,7 +72,7 @@ 1930 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1931 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1931 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1931 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1931 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1931 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1931 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1931 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -88,7 +88,7 @@ 1931 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1932 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1932 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1932 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1932 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1932 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1932 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1932 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -104,7 +104,7 @@ 1932 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1933 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1933 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1933 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1933 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1933 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1933 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1933 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -120,7 +120,7 @@ 1933 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1934 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1934 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1934 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1934 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1934 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1934 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1934 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -136,7 +136,7 @@ 1934 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1935 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1935 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1935 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1935 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1935 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1935 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1935 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -152,7 +152,7 @@ 1935 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1936 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1936 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1936 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1936 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1936 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1936 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1936 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -168,7 +168,7 @@ 1936 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1937 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1937 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1937 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1937 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1937 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1937 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1937 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -184,7 +184,7 @@ 1937 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1938 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1938 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1938 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1938 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1938 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1938 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1938 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -200,7 +200,7 @@ 1938 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1939 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1939 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1939 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1939 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1939 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1939 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1939 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -216,7 +216,7 @@ 1939 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1940 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1940 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1940 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1940 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1940 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1940 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1940 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -232,7 +232,7 @@ 1940 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1941 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1941 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1941 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1941 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1941 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1941 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1941 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -248,7 +248,7 @@ 1941 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1942 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1942 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1942 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1942 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1942 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1942 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1942 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -264,7 +264,7 @@ 1942 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1943 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1943 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1943 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1943 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1943 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1943 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1943 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -280,7 +280,7 @@ 1943 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1944 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1944 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1944 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1944 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1944 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1944 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1944 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -296,7 +296,7 @@ 1944 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1945 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1945 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1945 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1945 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1945 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1945 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1945 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -312,7 +312,7 @@ 1945 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1946 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1946 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1946 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1946 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1946 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1946 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1946 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -328,7 +328,7 @@ 1946 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1947 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1947 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1947 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1947 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1947 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1947 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1947 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -344,7 +344,7 @@ 1947 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1948 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1948 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1948 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1948 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1948 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1948 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1948 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -360,7 +360,7 @@ 1948 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1949 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1949 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1949 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1949 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1949 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1949 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1949 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -376,7 +376,7 @@ 1949 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1950 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1950 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1950 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1950 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1950 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1950 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1950 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -392,7 +392,7 @@ 1950 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1951 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1951 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1951 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1951 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1951 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1951 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1951 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -408,7 +408,7 @@ 1951 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1952 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1952 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1952 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1952 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1952 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1952 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1952 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -424,7 +424,7 @@ 1952 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1953 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1953 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1953 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1953 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1953 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1953 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1953 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -440,7 +440,7 @@ 1953 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1954 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1954 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1954 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1954 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1954 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1954 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1954 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -456,7 +456,7 @@ 1954 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1955 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1955 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1955 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1955 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1955 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1955 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1955 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -472,7 +472,7 @@ 1955 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1956 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1956 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1956 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1956 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1956 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1956 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1956 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -488,7 +488,7 @@ 1956 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1957 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1957 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1957 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1957 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1957 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1957 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1957 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -504,7 +504,7 @@ 1957 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1958 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1958 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1958 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1958 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1958 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1958 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1958 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -520,7 +520,7 @@ 1958 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1959 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1959 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1959 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1959 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1959 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1959 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1959 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -536,7 +536,7 @@ 1959 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1960 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1960 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1960 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1960 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1960 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1960 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1960 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -552,7 +552,7 @@ 1960 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1961 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1961 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1961 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1961 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1961 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1961 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1961 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -568,7 +568,7 @@ 1961 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1962 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1962 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1962 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1962 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1962 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1962 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1962 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -584,7 +584,7 @@ 1962 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1963 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1963 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1963 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1963 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1963 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1963 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1963 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -600,7 +600,7 @@ 1963 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1964 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1964 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1964 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1964 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1964 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1964 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1964 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -616,7 +616,7 @@ 1964 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1965 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1965 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1965 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1965 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1965 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1965 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1965 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -632,7 +632,7 @@ 1965 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1966 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1966 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1966 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1966 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1966 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1966 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1966 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -648,7 +648,7 @@ 1966 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1967 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1967 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1967 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1967 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1967 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1967 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1967 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -664,7 +664,7 @@ 1967 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1968 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1968 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1968 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1968 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1968 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1968 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1968 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -680,7 +680,7 @@ 1968 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1969 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1969 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1969 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1969 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1969 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1969 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1969 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -696,7 +696,7 @@ 1969 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1970 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1970 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1970 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1970 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1970 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1970 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1970 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -712,7 +712,7 @@ 1970 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1971 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1971 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1971 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1971 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1971 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1971 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1971 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -728,7 +728,7 @@ 1971 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1972 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1972 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1972 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1972 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1972 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1972 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1972 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -744,7 +744,7 @@ 1972 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1973 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1973 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1973 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1973 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1973 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1973 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1973 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -760,7 +760,7 @@ 1973 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1974 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1974 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1974 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1974 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1974 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1974 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1974 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -776,7 +776,7 @@ 1974 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1975 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1975 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1975 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1975 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1975 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1975 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1975 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -792,7 +792,7 @@ 1975 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1976 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1976 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1976 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1976 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1976 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1976 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1976 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -808,7 +808,7 @@ 1976 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1977 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1977 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1977 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1977 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1977 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1977 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1977 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -824,7 +824,7 @@ 1977 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1978 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1978 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1978 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1978 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1978 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1978 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1978 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -840,7 +840,7 @@ 1978 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1979 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1979 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1979 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1979 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1979 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1979 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1979 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -856,7 +856,7 @@ 1979 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1980 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1980 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1980 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1980 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1980 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1980 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1980 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -872,7 +872,7 @@ 1980 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1981 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1981 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1981 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1981 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1981 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1981 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1981 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -888,7 +888,7 @@ 1981 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1982 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1982 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1982 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1982 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1982 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1982 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1982 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -904,7 +904,7 @@ 1982 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1983 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1983 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1983 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1983 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1983 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1983 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1983 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -920,7 +920,7 @@ 1983 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1984 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1984 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1984 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1984 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1984 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1984 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1984 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -936,7 +936,7 @@ 1984 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1985 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1985 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1985 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1985 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1985 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1985 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1985 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -952,7 +952,7 @@ 1985 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1986 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1986 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1986 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1986 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1986 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1986 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1986 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -968,7 +968,7 @@ 1986 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1987 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1987 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1987 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1987 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1987 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1987 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1987 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -984,7 +984,7 @@ 1987 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1988 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1988 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1988 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1988 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1988 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1988 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1988 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -1000,7 +1000,7 @@ 1988 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1989 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1989 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1989 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1989 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1989 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1989 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1989 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -1016,7 +1016,7 @@ 1989 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1990 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1990 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1990 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1990 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1990 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1990 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1990 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -1032,7 +1032,7 @@ 1990 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1991 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1991 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1991 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1991 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1991 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1991 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1991 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -1048,7 +1048,7 @@ 1991 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1992 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1992 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1992 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1992 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1992 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1992 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1992 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -1064,7 +1064,7 @@ 1992 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1993 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1993 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1993 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1993 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1993 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1993 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1993 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -1080,7 +1080,7 @@ 1993 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1994 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1994 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1994 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1994 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1994 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1994 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1994 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -1096,7 +1096,7 @@ 1994 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1995 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1995 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1995 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1995 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1995 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1995 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1995 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -1112,7 +1112,7 @@ 1995 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1996 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1996 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1996 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1996 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1996 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1996 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1996 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -1128,7 +1128,7 @@ 1996 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1997 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1997 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1997 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1997 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1997 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1997 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1997 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -1144,7 +1144,7 @@ 1997 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1998 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1998 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1998 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1998 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1998 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1998 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1998 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -1160,7 +1160,7 @@ 1998 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 1999 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 1999 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -1999 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +1999 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 1999 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 1999 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 1999 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -1176,7 +1176,7 @@ 1999 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 2000 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 2000 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -2000 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +2000 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 2000 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 2000 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 2000 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -1192,7 +1192,7 @@ 2000 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 2001 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 2001 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -2001 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +2001 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 2001 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 2001 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 2001 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -1208,7 +1208,7 @@ 2001 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 2002 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 2002 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -2002 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +2002 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 2002 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 2002 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 2002 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -1224,7 +1224,7 @@ 2002 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 2003 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 2003 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -2003 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +2003 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 2003 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 2003 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 2003 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -1240,7 +1240,7 @@ 2003 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 2004 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 2004 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -2004 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +2004 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 2004 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 2004 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 2004 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -1256,7 +1256,7 @@ 2004 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 2005 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 2005 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -2005 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +2005 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 2005 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 2005 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 2005 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -1272,7 +1272,7 @@ 2005 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 2006 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 2006 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -2006 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +2006 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 2006 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 2006 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 2006 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -1288,7 +1288,7 @@ 2006 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 2007 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 2007 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -2007 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +2007 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 2007 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 2007 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 2007 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 @@ -1304,7 +1304,7 @@ 2007 1 2 1 1 -1 0.283264 0.979719 1.98394 3.11747 4.24674 5.29058 6.20966 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #popwt_mid 2008 1 1 1 1 1 0.183482 1.80245 1.87121 2.33062 3.40041 4.66123 6.01483 7.41676 8.8297 10.2237 11.5757 12.8689 14.092 15.2379 16.3029 17.2862 18.1888 19.0135 19.7637 20.4437 21.0583 21.6122 22.1102 22.5571 22.9574 23.3154 23.6351 23.9203 24.1745 24.4008 24.8273 #wt_flt_1 2008 1 1 1 1 2 0.278744 0.857459 1.58437 2.48305 3.51335 4.63849 5.82551 7.04524 8.27245 9.48584 10.6681 11.8056 12.8883 13.9094 14.8646 15.7518 16.571 17.3233 18.0111 18.6372 19.2052 19.7189 20.1823 20.5992 20.9736 21.3092 21.6095 21.8778 22.1173 22.3308 22.8502 #wt_flt_2 -2008 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8307 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 +2008 1 1 1 1 3 0.298442 0.909017 1.66413 2.58813 3.63886 4.77903 5.976 7.20138 8.4308 9.64383 10.8239 11.958 13.0365 14.053 15.0035 15.8862 16.7009 17.449 18.1327 18.7552 19.3199 19.8306 20.2913 20.7058 21.078 21.4116 21.7101 21.9769 22.215 22.4273 22.9385 #wt_flt_3 2008 1 1 1 1 4 0.320631 0.965564 1.75236 2.70529 3.77998 4.93846 6.14835 7.38196 8.61581 9.83032 11.0097 12.1416 13.217 14.2297 15.1761 16.0546 16.8652 17.6093 18.2893 18.9084 19.4698 19.9776 20.4356 20.8476 21.2176 21.5493 21.846 22.1112 22.3479 22.5589 23.0601 #wt_flt_4 2008 1 1 1 1 5 0.365958 1.09357 1.95417 2.97574 4.10875 5.31347 6.55782 7.81543 9.06458 10.2875 11.4699 12.6011 13.6731 14.6806 15.6206 16.4922 17.2956 18.0327 18.7059 19.3183 19.8737 20.3758 20.8286 21.2359 21.6016 21.9293 22.2225 22.4846 22.7184 22.9269 23.4025 #wt_flt_5 2008 1 2 1 1 1 0.283264 0.980087 2.6019 3.182 4.24947 5.29075 6.20968 6.99246 7.64371 8.17638 8.60664 8.95095 9.22454 9.44078 9.611 9.74457 9.84913 9.93084 9.99459 10.0443 10.083 10.1131 10.1365 10.1547 10.1689 10.1799 10.1884 10.1951 10.2002 10.2042 10.209 #wt_flt_1 diff --git a/models/three_area_nomove/forecast.ss b/models/three_area_nomove/forecast.ss index ca23908..9353063 100644 --- a/models/three_area_nomove/forecast.ss +++ b/models/three_area_nomove/forecast.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #C this is a quick and dirty generic forecast file: note at all related to any particular model #C fleet-specific entries will need modification # for all year entries except rebuilder; enter either: actual year, -999 for styr, 0 for endyr, neg number for rel. endyr @@ -17,27 +17,47 @@ # where none and simple require no input after this line; simple sets forecast F same as end year F 3 # N forecast years 0.2 # Fmult (only used for Do_Forecast==5) such that apical_F(f)=Fmult*relF(f) -#_Fcast_years: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) +#_Fcast_years for averaging: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) 1995 2001 -10 0 -999 0 # 1995 2001 1997 2007 1945 2007 -0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from annual time-vary parms) +0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from time-vary parms). NOTE: logic reverses in new format +# A revised protocol for the Fcast_yr specification is available and recommended. Template is below. +# +#-12345 # code to invoke new format for expanded fcast year controls +# biology and selectivity vectors are updated annually in the forecast according to timevary parameters, so check end year of blocks and dev vectors +# input in this section directs creation of means over historical years to override any time_vary changes +# Factors implemented so far: 1=M, 4=recr_dist, 5=migration, 10=selectivity, 11=rel_F, 12=recruitment +# rel_F and Recruitment also have additional controls later in forecast.ss +# input as list: Factor, method (0, 1), st_yr, end_yr +# Terminate with -9999 for Factor +# st_yr and end_yr input can be actual year; <=0 sets rel. to timeseries endyr; Except -999 for st_yr sets to first year if time series +# Method = 0 (or omitted) continue using time_vary parms; 1 use mean of derived factor over specified year range +# Factor method st_yr end_yr +# 10 1 1995 2001 # selectivity; use: 10 1 1995 2001 +# 11 1 -10 0 # rel_F; use: 11 1 -10 0 +# 12 1 -999 0 # recruitment; use: 12 1 -999 0 +#-9999 0 0 0 +# 1 # Control rule method (0: none; 1: ramp does catch=f(SSB), buffer on F; 2: ramp does F=f(SSB), buffer on F; 3: ramp does catch=f(SSB), buffer on catch; 4: ramp does F=f(SSB), buffer on catch) # values for top, bottom and buffer exist, but not used when Policy=0 0.4 # Control rule inflection for constant F (as frac of Bzero, e.g. 0.40); must be > control rule cutoff, or set to -1 to use Bmsy/SSB_unf 0.1 # Control rule cutoff for no F (as frac of Bzero, e.g. 0.10) 0.75 # Buffer: enter Control rule target as fraction of Flimit (e.g. 0.75), negative value invokes list of [year, scalar] with filling from year to YrMax +# 3 #_N forecast loops (1=OFL only; 2=ABC; 3=get F from forecast ABC catch with allocations applied) -3 #_First forecast loop with stochastic recruitment -0 #_Forecast recruitment: 0= spawn_recr; 1=value*spawn_recr_fxn; 2=value*VirginRecr; 3=recent mean from yr range above (need to set phase to -1 in control to get constant recruitment in MCMC) -1 # value is ignored --1 #_Forecast loop control #5 (reserved for future bells&whistles) -2004 #FirstYear for caps and allocations (should be after years with fixed inputs) +3 # First forecast loop with stochastic recruitment +0 # Forecast base recruitment: 0= spawn_recr; 1=mult*spawn_recr_fxn; 2=mult*VirginRecr; 3=deprecated; 4=mult*mean_over_yr_range +# for option 4, set phase for fore_recr_devs to -1 in control to get constant mean in MCMC, else devs will be applied +1 # Value multiplier is ignored +-1 # not used +# +2004 # FirstYear for caps and allocations (should be after years with fixed inputs) 0.1 # stddev of log(realized catch/target catch) in forecast (set value>0.0 to cause active impl_error) 0 # Do West Coast gfish rebuilder output: 0=no; 1=yes 1999 # Rebuilder: first year catch could have been set to zero (Ydecl)(-1 to set to 1999) 2002 # Rebuilder: year for current age structure (Yinit) (-1 to set to endyear+1) -1 # fleet relative F: 1=use first-last alloc year; 2=read seas, fleet, alloc list below -# Note that fleet allocation is used directly as average F if Do_Forecast=4 +1 # fleet relative F: 1=use mean over year range; 2=read seas, fleet, alloc list below +# Note that fleet allocation values is used directly as F if Do_Forecast=4 2 # basis for fcast catch tuning and for fcast catch caps and allocation (2=deadbio; 3=retainbio; 5=deadnum; 6=retainnum); NOTE: same units for all fleets # Conditional input if relative F choice = 2 # enter list of: season, fleet, relF; if used, terminate with season=-9999 diff --git a/models/three_area_nomove/ss_summary.sso b/models/three_area_nomove/ss_summary.sso index 5083b55..de0598f 100644 --- a/models/three_area_nomove/ss_summary.sso +++ b/models/three_area_nomove/ss_summary.sso @@ -1,7 +1,7 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 three_area_nomove_dat.ss #_DataFile three_area_nomove_ctl.ss #_Control -Run_Date: Tue Feb 14 23:48:53 2023 +Run_Date: Tue Oct 31 17:11:12 2023 Final_phase: 5 N_iterations: 419 #_LIKELIHOOD Label logL*Lambda diff --git a/models/three_area_nomove/starter.ss b/models/three_area_nomove/starter.ss index 1100a17..f12c8c1 100644 --- a/models/three_area_nomove/starter.ss +++ b/models/three_area_nomove/starter.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -8,9 +8,9 @@ three_area_nomove_dat.ss three_area_nomove_ctl.ss 0 # 0=use init values in control file; 1=use ss.par -1 # run display detail (0,1,2) +1 # run display detail (0 = minimal; 1=one line per iter; 2=each logL) 1 # detailed output (0=minimal for data-limited, 1=high (w/ wtatage.ss_new), 2=brief, 3=custom) -# custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end +#COND: custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end 0 # write 1st iteration details to echoinput.sso file (0,1) 0 # write parm values to ParmTrace.sso (0=no,1=good,active; 2=good,all; 3=every_iter,all_parms; 4=every,active) 0 # write to cumreport.sso (0=no,1=like×eries; 2=add survey fits) @@ -26,7 +26,7 @@ three_area_nomove_ctl.ss 1943 # min yr for sdreport outputs (-1 for styr); #_1943 2007 # max yr for sdreport outputs (-1 for endyr+1; -2 for endyr+Nforecastyrs); #_2007 0 # N individual STD years -#vector of year values +#COND: vector of year values if N>0 0.001 # final convergence criteria (e.g. 1.0e-04) 0 # retrospective year relative to end year (e.g. -4) @@ -34,10 +34,10 @@ three_area_nomove_ctl.ss 1 # Depletion basis: denom is: 0=skip; 1=X*SPBvirgin; 2=X*SPBmsy; 3=X*SPB_styr; 4=X*SPB_endyr; 5=X*dyn_Bzero; values>=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) 1 # Fraction (X) for Depletion denominator (e.g. 0.4) 4 # SPR_report_basis: 0=skip; 1=(1-SPR)/(1-SPR_tgt); 2=(1-SPR)/(1-SPR_MSY); 3=(1-SPR)/(1-SPR_Btarget); 4=rawSPR -1 # F_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=true F for range of ages; 5=unweighted avg. F for range of ages -#COND 10 15 #_min and max age over which average F will be calculated with F_reporting=4 or 5 -0 # F_std_basis: 0=raw_annual_F; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual_F; values >=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) +1 # F_std_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=mean F for range of ages (numbers weighted); 5=unweighted mean F for range of ages +#COND 10 15 #_min and max age over which mean F will be calculated with F_reporting=4 or 5 +0 # F_std_scaling: 0=no scaling; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual F_std, Fmsy means F_std@msy; values >=11 invoke N multiyr (up to 9!) using 10's digit; >100 invokes log(ratio) 0 # MCMC output detail: integer part (0=default; 1=adds obj func components; 2= +write_report_for_each_mceval); and decimal part (added to SR_LN(R0) on first call to mcmc) -0 # ALK tolerance ***disabled in code (example 0.0001) --1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1676418611 +0 # ALK tolerance ***disabled in code +-1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1698772374 3.30 # check value for end of file and for version control diff --git a/models/three_area_nomove/three_area_nomove_ctl.ss b/models/three_area_nomove/three_area_nomove_ctl.ss index 66482ef..cd387c8 100644 --- a/models/three_area_nomove/three_area_nomove_ctl.ss +++ b/models/three_area_nomove/three_area_nomove_ctl.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -10,6 +10,7 @@ 1 #_N_Growth_Patterns (Growth Patterns, Morphs, Bio Patterns, GP are terms used interchangeably in SS3) 1 #_N_platoons_Within_GrowthPattern #_Cond 1 #_Platoon_within/between_stdev_ratio (no read if N_platoons=1) +#_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # 2 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) @@ -53,8 +54,8 @@ 4 15 # age(real) at M breakpoints # 1 # GrowthModel: 1=vonBert with L1&L2; 2=Richards with L1&L2; 3=age_specific_K_incr; 4=age_specific_K_decr; 5=age_specific_K_each; 6=NA; 7=NA; 8=growth cessation -1.66 #_Age(post-settlement)_for_L1;linear growth below this -25 #_Growth_Age_for_L2 (999 to use as Linf) +1.66 #_Age(post-settlement) for L1 (aka Amin); first growth parameter is size at this age; linear growth below this +25 #_Age(post-settlement) for L2 (aka Amax); 999 to treat as Linf -999 #_exponential decay for growth above maxage (value should approx initial Z; -999 replicates 3.24; -998 to not allow growth above maxage) 0 #_placeholder for future growth feature # @@ -109,6 +110,7 @@ # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement +# Platoon StDev Ratio # Age Error from parameters # catch multiplier # fraction female, by GP @@ -133,7 +135,7 @@ 0 2 0 -1 1 6 -3 0 0 0 0 0 0 0 # SR_autocorr #_no timevary SR parameters 1 #do_recdev: 0=none; 1=devvector (R=F(SSB)+dev); 2=deviations (R=F(SSB)+dev); 3=deviations (R=R0*dev; dev2=R-f(SSB)); 4=like 3 with sum(dev2) adding penalty -1970 # first year of main recr_devs; early devs can preceed this era +1970 # first year of main recr_devs; early devs can precede this era 2007 # last year of main recr_devs; forecast devs start in following year 4 #_recdev phase 1 # (0/1) to read 13 advanced options @@ -205,7 +207,7 @@ #Pattern:_11; parm=2; selex=1.0 for specified min-max population length bin range #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_6; parm=2+special; non-parm len selex -#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (average over bin range) +#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (mean over bin range) #Pattern:_8; parm=8; double_logistic with smooth transitions and constant above Linf option #Pattern:_9; parm=6; simple 4-parm double logistic with starting length; parm 5 is first length; parm 6=1 does desc as offset #Pattern:_21; parm=2+special; non-parm len selex, read as pairs of size, then selex @@ -215,7 +217,7 @@ #Pattern:_2; parm=6; double_normal with sel(minL) and sel(maxL), using joiners, back compatibile version of 24 with 3.30.18 and older #Pattern:_25; parm=3; exponential-logistic in length #Pattern:_27; parm=special+3; cubic spline in length; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (mean over bin range) #_discard_options:_0=none;_1=define_retention;_2=retention&mortality;_3=all_discarded_dead;_4=define_dome-shaped_retention #_Pattern Discard Male Special 1 0 0 0 # 1 Shallow_Fishery @@ -234,13 +236,13 @@ #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_16; parm=2; Coleraine - Gaussian #Pattern:_17; parm=nages+1; empirical as random walk N parameters to read can be overridden by setting special to non-zero -#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (average over bin range) +#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (mean over bin range) #Pattern:_18; parm=8; double logistic - smooth transition #Pattern:_19; parm=6; simple 4-parm double logistic with starting age #Pattern:_20; parm=6; double_normal,using joiners #Pattern:_26; parm=3; exponential-logistic in age #Pattern:_27; parm=3+special; cubic spline in age; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (mean over bin range) #Age patterns entered with value >100 create Min_selage from first digit and pattern from remainder #_Pattern Discard Male Special 10 0 0 0 # 1 Shallow_Fishery @@ -273,8 +275,12 @@ #_No_Dirichlet parameters #_no timevary selex parameters # -0 # use 2D_AR1 selectivity(0/1) +0 # use 2D_AR1 selectivity? (0/1) #_no 2D_AR1 selex offset used +#_specs: fleet, ymin, ymax, amin, amax, sigma_amax, use_rho, len1/age2, devphase, before_range, after_range +#_sigma_amax>amin means create sigma parm for each bin from min to sigma_amax; sigma_amax<0 means just one sigma parm is read and used for all bins +#_needed parameters follow each fleet's specifications +# -9999 0 0 0 0 0 0 0 0 0 0 # terminator # # Tag loss and Tag reporting parameters go next 0 # TG_custom: 0=no read and autogen if tag data exist; 1=read diff --git a/models/three_area_nomove/three_area_nomove_dat.ss b/models/three_area_nomove/three_area_nomove_dat.ss index 71e3d12..4bf71fc 100644 --- a/models/three_area_nomove/three_area_nomove_dat.ss +++ b/models/three_area_nomove/three_area_nomove_dat.ss @@ -1,21 +1,21 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov #_User_info_available_at:https://vlab.noaa.gov/group/stock-synthesis #_Source_code_at:_https://github.com/nmfs-stock-synthesis/stock-synthesis -#_Start_time: Tue Feb 14 23:50:11 2023 +#_Start_time: Tue Oct 31 17:12:54 2023 #_echo_input_data -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 1945 #_StartYr 2007 #_EndYr 1 #_Nseas 12 #_months/season 2 #_Nsubseasons (even number, minimum is 2) 1 #_spawn_month -2 #_Ngenders: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) +2 #_Nsexes: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) 40 #_Nages=accumulator age, first age is always age 0 3 #_Nareas 5 #_Nfleets (including surveys) @@ -234,7 +234,7 @@ 1 # use length composition data (0/1/2) where 2 invokes new comp_control format #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie @@ -332,7 +332,7 @@ 0.5 0.65 0.67 0.7 0.73 0.76 0.8 0.84 0.88 0.92 0.97 1.03 1.09 1.16 1.23 1.32 1.41 1.51 1.62 1.75 1.89 2.05 2.23 2.45 2.71 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie diff --git a/models/three_area_nomove/warning.sso b/models/three_area_nomove/warning.sso index a7254b4..4dcd38b 100644 --- a/models/three_area_nomove/warning.sso +++ b/models/three_area_nomove/warning.sso @@ -6,4 +6,5 @@ Warning 4 : Setting in starter does not request all priors, and 26 parameters ha Warning 5 : 1st iteration warning: catch logL > 50% total logL; check configuration; suggest start with larger R0 Warning 6 : Forecast F capped by max possible F from control file1.5 Warning 7 : Forecast F capped by max possible F from control file1.5 - 7 warnings and 1 note +Note 2 Information: A revised protocol for the Fcast_yr specification is available and recommended. + 7 warnings and 2 notes diff --git a/models/two_morph_seas_areas/control.ss b/models/two_morph_seas_areas/control.ss index 25e6059..1283291 100644 --- a/models/two_morph_seas_areas/control.ss +++ b/models/two_morph_seas_areas/control.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -12,6 +12,7 @@ 2 #_N_Growth_Patterns (Growth Patterns, Morphs, Bio Patterns, GP are terms used interchangeably in SS3) 1 #_N_platoons_Within_GrowthPattern #_Cond 1 #_Platoon_within/between_stdev_ratio (no read if N_platoons=1) +#_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # 3 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) @@ -57,8 +58,8 @@ #_no additional input for selected M option; read 1P per morph # 1 # GrowthModel: 1=vonBert with L1&L2; 2=Richards with L1&L2; 3=age_specific_K_incr; 4=age_specific_K_decr; 5=age_specific_K_each; 6=NA; 7=NA; 8=growth cessation -0 #_Age(post-settlement)_for_L1;linear growth below this -25 #_Growth_Age_for_L2 (999 to use as Linf) +0 #_Age(post-settlement) for L1 (aka Amin); first growth parameter is size at this age; linear growth below this +25 #_Age(post-settlement) for L2 (aka Amax); 999 to treat as Linf -999 #_exponential decay for growth above maxage (value should approx initial Z; -999 replicates 3.24; -998 to not allow growth above maxage) 0 #_placeholder for future growth feature # @@ -143,6 +144,7 @@ -8 5 -6 0 0 0 -4 0 0 0 0 0 0 0 # MoveParm_B_seas_1_GP_2from_1to_2 -8 5 -6 0 0 0 -4 0 0 0 0 0 0 0 # MoveParm_A_seas_1_GP_2from_2to_1 -8 5 -6 0 0 0 -4 0 0 0 0 0 0 0 # MoveParm_B_seas_1_GP_2from_2to_1 +# Platoon StDev Ratio # Age Error from parameters # catch multiplier # fraction female, by GP @@ -172,7 +174,7 @@ 0 0 0 0 0 0 -99 0 0 0 0 0 0 0 # SR_autocorr #_no timevary SR parameters 1 #do_recdev: 0=none; 1=devvector (R=F(SSB)+dev); 2=deviations (R=F(SSB)+dev); 3=deviations (R=R0*dev; dev2=R-f(SSB)); 4=like 3 with sum(dev2) adding penalty -1971 # first year of main recr_devs; early devs can preceed this era +1971 # first year of main recr_devs; early devs can precede this era 2001 # last year of main recr_devs; forecast devs start in following year 2 #_recdev phase 1 # (0/1) to read 13 advanced options @@ -197,7 +199,7 @@ # # all recruitment deviations # 1971R 1972R 1973R 1974R 1975R 1976R 1977R 1978R 1979R 1980R 1981R 1982R 1983R 1984R 1985R 1986R 1987R 1988R 1989R 1990R 1991R 1992R 1993R 1994R 1995R 1996R 1997R 1998R 1999R 2000R 2001R -# 0.0618206 -0.010901 0.0906268 -0.220164 0.12491 0.68784 -0.0754579 0.0186115 0.324604 0.123436 0.054618 -0.203231 -0.478855 -0.390979 0.507898 0.362641 0.348551 0.0318674 -0.375788 0.545754 -0.518635 -0.686157 -0.410672 0.117448 -0.485283 0.583759 0.855843 -0.48637 -0.301148 -0.131943 -0.0646436# +# 0.0618202 -0.0109003 0.0906262 -0.220163 0.12491 0.68784 -0.0754578 0.0186113 0.324604 0.123436 0.0546181 -0.203232 -0.478855 -0.39098 0.507898 0.362641 0.348551 0.0318673 -0.375788 0.545755 -0.518636 -0.686157 -0.410671 0.117448 -0.485283 0.583759 0.855842 -0.486369 -0.301148 -0.131942 -0.0646449# #Fishing Mortality info 0.3 # F ballpark value in units of annual_F -2001 # F ballpark year (neg value to disable) @@ -213,7 +215,7 @@ # Yr: 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 # seas: 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 # FISH_A1 0 0 0.00225799 0 0.0113502 0 0.0114537 0 0.0232347 0 0.035695 0 0.0492111 0 0.0642055 0 0.0811051 0 0.115413 0 0.157364 0 0.174141 0 0.193766 0 0.217351 0 0.246856 0 0.285316 0 0.337329 0 0.362558 0 0.379895 0 0.381701 0 0.363226 0 0.255098 0 0.260218 0 0.268501 0 0.28209 0 0.303333 0 0.243128 0 0.254557 0 0.26429 0 0.269477 0 0.270956 0 -# FISH_A2 0 0 0.00223554 0 0.0112372 0 0.01134 0 0.0230063 0 0.0353524 0 0.0487615 0 0.0636553 0 0.0804507 0 0.114526 0 0.156218 0 0.172959 0 0.192552 0 0.216111 0 0.245637 0 0.284315 0 0.336947 0 0.363192 0 0.381316 0 0.383153 0 0.36418 0 0.255324 0 0.260033 0 0.268059 0 0.28168 0 0.303331 0 0.243652 0 0.255644 0 0.265623 0 0.270374 0 0.270929 0 +# FISH_A2 0 0 0.00223554 0 0.0112372 0 0.01134 0 0.0230063 0 0.0353524 0 0.0487615 0 0.0636553 0 0.0804507 0 0.114526 0 0.156218 0 0.172959 0 0.192552 0 0.216111 0 0.245637 0 0.284315 0 0.336947 0 0.363192 0 0.381316 0 0.383153 0 0.36418 0 0.255323 0 0.260033 0 0.268059 0 0.28168 0 0.303331 0 0.243652 0 0.255644 0 0.265623 0 0.270374 0 0.270929 0 # #_Q_setup for fleets with cpue or survey data #_1: fleet number @@ -235,10 +237,10 @@ #_Q_parms(if_any);Qunits_are_ln(q) #_ LO HI INIT PRIOR PR_SD PR_type PHASE env-var use_dev dev_mnyr dev_mxyr dev_PH Block Blk_Fxn # parm_name -7 5 0.52723 0 1 0 -1 0 0 0 0 0 0 0 # LnQ_base_SURV_A1(2) - 0 0.5 0.00496265 0.05 1 0 4 0 0 0 0 0 0 0 # Q_extraSD_SURV_A1(2) + 0 0.5 0.00496268 0.05 1 0 4 0 0 0 0 0 0 0 # Q_extraSD_SURV_A1(2) -11 5 -8.65326 0 1 0 -1 0 0 0 0 0 0 0 # LnQ_base_RECRSVY_A1(3) -7 5 0.531522 0 1 0 -1 0 0 0 0 0 0 0 # LnQ_base_SURV_A2(5) - 0 0.5 0.00309001 0.05 1 0 4 0 0 0 0 0 0 0 # Q_extraSD_SURV_A2(5) + 0 0.5 0.00309004 0.05 1 0 4 0 0 0 0 0 0 0 # Q_extraSD_SURV_A2(5) -11 5 -8.64901 0 1 0 -1 0 0 0 0 0 0 0 # LnQ_base_RECRSVY_A2(6) -7 5 0 0 1 0 -1 0 0 0 0 0 0 0 # LnQ_base_Depletion(7) #_no timevary Q parameters @@ -250,7 +252,7 @@ #Pattern:_11; parm=2; selex=1.0 for specified min-max population length bin range #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_6; parm=2+special; non-parm len selex -#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (average over bin range) +#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (mean over bin range) #Pattern:_8; parm=8; double_logistic with smooth transitions and constant above Linf option #Pattern:_9; parm=6; simple 4-parm double logistic with starting length; parm 5 is first length; parm 6=1 does desc as offset #Pattern:_21; parm=2+special; non-parm len selex, read as pairs of size, then selex @@ -260,7 +262,7 @@ #Pattern:_2; parm=6; double_normal with sel(minL) and sel(maxL), using joiners, back compatibile version of 24 with 3.30.18 and older #Pattern:_25; parm=3; exponential-logistic in length #Pattern:_27; parm=special+3; cubic spline in length; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (mean over bin range) #_discard_options:_0=none;_1=define_retention;_2=retention&mortality;_3=all_discarded_dead;_4=define_dome-shaped_retention #_Pattern Discard Male Special 1 0 0 0 # 1 FISH_A1 @@ -281,13 +283,13 @@ #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_16; parm=2; Coleraine - Gaussian #Pattern:_17; parm=nages+1; empirical as random walk N parameters to read can be overridden by setting special to non-zero -#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (average over bin range) +#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (mean over bin range) #Pattern:_18; parm=8; double logistic - smooth transition #Pattern:_19; parm=6; simple 4-parm double logistic with starting age #Pattern:_20; parm=6; double_normal,using joiners #Pattern:_26; parm=3; exponential-logistic in age #Pattern:_27; parm=3+special; cubic spline in age; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (mean over bin range) #Age patterns entered with value >100 create Min_selage from first digit and pattern from remainder #_Pattern Discard Male Special 10 0 0 0 # 1 FISH_A1 @@ -324,8 +326,12 @@ #_No_Dirichlet parameters #_no timevary selex parameters # -0 # use 2D_AR1 selectivity(0/1) +0 # use 2D_AR1 selectivity? (0/1) #_no 2D_AR1 selex offset used +#_specs: fleet, ymin, ymax, amin, amax, sigma_amax, use_rho, len1/age2, devphase, before_range, after_range +#_sigma_amax>amin means create sigma parm for each bin from min to sigma_amax; sigma_amax<0 means just one sigma parm is read and used for all bins +#_needed parameters follow each fleet's specifications +# -9999 0 0 0 0 0 0 0 0 0 0 # terminator # # Tag loss and Tag reporting parameters go next 0 # TG_custom: 0=no read and autogen if tag data exist; 1=read @@ -334,7 +340,7 @@ # deviation vectors for timevary parameters # base base first block block env env dev dev dev dev dev # type index parm trend pattern link var vectr link _mnyr mxyr phase dev_vector -# 1 42 1 0 0 0 0 1 2 1971 2001 5 0.178304 0.0133815 0.0057162 0.0197967 0.060032 -0.00272002 -0.00420699 0.036208 0.0628825 -0.0288185 -0.027361 -0.0137858 -0.0117383 0.0188148 0.0276951 0.0217046 0.0218105 0.00080388 0.0109053 0.00332421 -0.0467721 -0.0373709 -0.0201177 -0.00195685 0.00180183 0.0335571 0.0220821 -0.00658498 0.00868516 -0.0285825 0 +# 1 42 1 0 0 0 0 1 2 1971 2001 5 0.178304 0.013386 0.00571622 0.0197974 0.0600286 -0.00271894 -0.00420792 0.03621 0.0628853 -0.0288189 -0.0273599 -0.0137824 -0.0117385 0.0188138 0.0276935 0.0217079 0.0218104 0.000802434 0.0109059 0.00332637 -0.0467711 -0.0373714 -0.0201176 -0.00195811 0.00180022 0.0335567 0.0220866 -0.00658347 0.00868511 -0.0285827 0 # # Input variance adjustments factors: #_1=add_to_survey_CV diff --git a/models/two_morph_seas_areas/data.ss b/models/two_morph_seas_areas/data.ss index 140d041..2ba282a 100644 --- a/models/two_morph_seas_areas/data.ss +++ b/models/two_morph_seas_areas/data.ss @@ -1,21 +1,21 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov #_User_info_available_at:https://vlab.noaa.gov/group/stock-synthesis #_Source_code_at:_https://github.com/nmfs-stock-synthesis/stock-synthesis -#_Start_time: Tue Feb 14 23:52:53 2023 +#_Start_time: Tue Oct 31 17:16:17 2023 #_echo_input_data -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 1971 #_StartYr 2001 #_EndYr 2 #_Nseas 11.5 0.5 #_months/season 2 #_Nsubseasons (even number, minimum is 2) 1 #_spawn_month -2 #_Ngenders: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) +2 #_Nsexes: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) 40 #_Nages=accumulator age, first age is always age 0 2 #_Nareas 7 #_Nfleets (including surveys) @@ -255,7 +255,7 @@ 1 # use length composition data (0/1/2) where 2 invokes new comp_control format #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie @@ -326,7 +326,7 @@ 0.5 0.65 0.67 0.7 0.73 0.76 0.8 0.84 0.88 0.92 0.97 1.03 1.09 1.16 1.23 1.32 1.41 1.51 1.62 1.75 1.89 2.05 2.23 2.45 2.71 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie @@ -459,7 +459,7 @@ #Note: negative value for first bin makes it accumulate all smaller fish vs. truncate small fish 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58 60 62 64 68 72 76 80 90 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58 60 62 64 68 72 76 80 90 -#_method year month fleet gender partition SampleSize +#_method year month fleet sex partition SampleSize 1 1971 7 4 3 0 125 0 0 0 0 0 0 0 0 0 4 1 1 2 4 1 5 6 2 3 11 8 4 5 0 0 0 0 0 0 0 0 0 0 1 0 1 3 0 3 4 2 4 5 9 17 8 3 8 0 0 1 1972 7 4 3 0 125 0 0 0 0 0 0 0 0 0 3 0 1 2 1 1 6 2 7 4 10 10 4 5 3 0 0 0 0 0 0 0 0 0 1 3 2 4 1 3 1 4 4 7 3 8 11 4 10 0 0 1 1973 7 4 3 0 125 0 0 0 0 0 0 0 0 0 0 0 0 7 3 4 5 6 3 10 12 6 10 9 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 3 0 7 2 6 7 8 5 5 3 0 diff --git a/models/two_morph_seas_areas/forecast.ss b/models/two_morph_seas_areas/forecast.ss index 3c75223..8f4c11c 100644 --- a/models/two_morph_seas_areas/forecast.ss +++ b/models/two_morph_seas_areas/forecast.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #C generic forecast file # for all year entries except rebuilder; enter either: actual year, -999 for styr, 0 for endyr, neg number for rel. endyr 2 # Benchmarks: 0=skip; 1=calc F_spr,F_btgt,F_msy; 2=calc F_spr,F0.1,F_msy; 3=add F_Blimit; @@ -16,27 +16,44 @@ # where none and simple require no input after this line; simple sets forecast F same as end year F 0 # N forecast years 1 # Fmult (only used for Do_Forecast==5) such that apical_F(f)=Fmult*relF(f) -#_Fcast_years: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) +#_Fcast_years for averaging: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) 0 0 0 0 0 0 # 0 0 0 0 0 0 -0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from annual time-vary parms) +0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from time-vary parms). NOTE: logic reverses in new format +# A revised protocol for the Fcast_yr specification is available and recommended. Template is below. +# +#-12345 # code to invoke new format for expanded fcast year controls +# biology and selectivity vectors are updated annually in the forecast according to timevary parameters, so check end year of blocks and dev vectors +# input in this section directs creation of means over historical years to override any time_vary changes +# Factors implemented so far: 1=M, 4=recr_dist, 5=migration, 10=selectivity, 11=rel_F, 12=recruitment +# rel_F and Recruitment also have additional controls later in forecast.ss +# input as list: Factor, method (0, 1), st_yr, end_yr +# Terminate with -9999 for Factor +# st_yr and end_yr input can be actual year; <=0 sets rel. to timeseries endyr; Except -999 for st_yr sets to first year if time series +# Method = 0 (or omitted) continue using time_vary parms; 1 use mean of derived factor over specified year range +# Factor method st_yr end_yr +#-9999 0 0 0 +# 0 # Control rule method (0: none; 1: ramp does catch=f(SSB), buffer on F; 2: ramp does F=f(SSB), buffer on F; 3: ramp does catch=f(SSB), buffer on catch; 4: ramp does F=f(SSB), buffer on catch) # values for top, bottom and buffer exist, but not used when Policy=0 0.001 # Control rule inflection for constant F (as frac of Bzero, e.g. 0.40); must be > control rule cutoff, or set to -1 to use Bmsy/SSB_unf 0.0001 # Control rule cutoff for no F (as frac of Bzero, e.g. 0.10) 1 # Buffer: enter Control rule target as fraction of Flimit (e.g. 0.75), negative value invokes list of [year, scalar] with filling from year to YrMax +# 2 #_N forecast loops (1=OFL only; 2=ABC; 3=get F from forecast ABC catch with allocations applied) -1 #_First forecast loop with stochastic recruitment -0 #_Forecast recruitment: 0= spawn_recr; 1=value*spawn_recr_fxn; 2=value*VirginRecr; 3=recent mean from yr range above (need to set phase to -1 in control to get constant recruitment in MCMC) -1 # value is ignored -0 #_Forecast loop control #5 (reserved for future bells&whistles) -2002 #FirstYear for caps and allocations (should be after years with fixed inputs) +1 # First forecast loop with stochastic recruitment +0 # Forecast base recruitment: 0= spawn_recr; 1=mult*spawn_recr_fxn; 2=mult*VirginRecr; 3=deprecated; 4=mult*mean_over_yr_range +# for option 4, set phase for fore_recr_devs to -1 in control to get constant mean in MCMC, else devs will be applied +1 # Value multiplier is ignored +0 # not used +# +2002 # FirstYear for caps and allocations (should be after years with fixed inputs) 0 # stddev of log(realized catch/target catch) in forecast (set value>0.0 to cause active impl_error) 0 # Do West Coast gfish rebuilder output: 0=no; 1=yes 2001 # Rebuilder: first year catch could have been set to zero (Ydecl)(-1 to set to 1999) 2001 # Rebuilder: year for current age structure (Yinit) (-1 to set to endyear+1) -1 # fleet relative F: 1=use first-last alloc year; 2=read seas, fleet, alloc list below -# Note that fleet allocation is used directly as average F if Do_Forecast=4 +1 # fleet relative F: 1=use mean over year range; 2=read seas, fleet, alloc list below +# Note that fleet allocation values is used directly as F if Do_Forecast=4 2 # basis for fcast catch tuning and for fcast catch caps and allocation (2=deadbio; 3=retainbio; 5=deadnum; 6=retainnum); NOTE: same units for all fleets # Conditional input if relative F choice = 2 # enter list of: season, fleet, relF; if used, terminate with season=-9999 diff --git a/models/two_morph_seas_areas/ss.par b/models/two_morph_seas_areas/ss.par index e55ec29..a5e332b 100644 --- a/models/two_morph_seas_areas/ss.par +++ b/models/two_morph_seas_areas/ss.par @@ -1,14 +1,14 @@ -# Number of parameters = 86 Objective function value = 3007.72618656735 Maximum gradient component = 0.000681377153198297 +# Number of parameters = 86 Objective function value = 3007.72618656736 Maximum gradient component = 5.61318400513217e-05 # dummy_parm: 1.00000000000 # MGparm[1]: 0.100000000000 # MGparm[2]: -20.0022691600 +20.0022688255 # MGparm[3]: -71.2678851680 +71.2678851480 # MGparm[4]: -0.157607545994 +0.157607548016 # MGparm[5]: 0.100000000000 # MGparm[6]: @@ -28,11 +28,11 @@ # MGparm[13]: 0.100000000000 # MGparm[14]: -19.5063086946 +19.5063086568 # MGparm[15]: -70.6148003137 +70.6148003812 # MGparm[16]: -0.164439109677 +0.164439109231 # MGparm[17]: 0.100000000000 # MGparm[18]: @@ -52,11 +52,11 @@ # MGparm[25]: 0.100000000000 # MGparm[26]: -22.0052002302 +22.0051999674 # MGparm[27]: -69.5893607538 +69.5893607897 # MGparm[28]: -0.161489658506 +0.161489659481 # MGparm[29]: 0.100000000000 # MGparm[30]: @@ -68,11 +68,11 @@ # MGparm[33]: 0.100000000000 # MGparm[34]: -21.9515307939 +21.9515304933 # MGparm[35]: -69.1762128477 +69.1762128078 # MGparm[36]: -0.165250007527 +0.165250009277 # MGparm[37]: 0.100000000000 # MGparm[38]: @@ -112,9 +112,9 @@ # MGparm[55]: 0.00000000000 # SR_parm[1]: -9.50866423199 +9.50866423073 # SR_parm[2]: -0.638280325309 +0.638280359387 # SR_parm[3]: 0.600000000000 # SR_parm[4]: @@ -122,38 +122,38 @@ # SR_parm[5]: 0.00000000000 # recdev1: - 0.0618205693907 -0.0109009980938 0.0906268356436 -0.220163770212 0.124910158072 0.687839628789 -0.0754578739070 0.0186115041955 0.324604175243 0.123436453770 0.0546179748645 -0.203231317312 -0.478855480050 -0.390979037580 0.507897776472 0.362640819984 0.348550561619 0.0318673701057 -0.375788237993 0.545754317603 -0.518635029868 -0.686157199001 -0.410671572932 0.117447604683 -0.485282569641 0.583758824989 0.855842554555 -0.486370127014 -0.301147724192 -0.131942557327 -0.0646436348528 + 0.0618202115397 -0.0109002697507 0.0906261571618 -0.220162837222 0.124909528718 0.687839849910 -0.0754578214636 0.0186112635511 0.324604311194 0.123436431436 0.0546180515003 -0.203231655600 -0.478854796012 -0.390979588079 0.507897966574 0.362640640127 0.348550710925 0.0318673161645 -0.375788453758 0.545754527738 -0.518635634852 -0.686157058663 -0.410671304963 0.117447585943 -0.485282857104 0.583759108931 0.855842424998 -0.486369288297 -0.301148145049 -0.131941502698 -0.0646448729009 # Q_parm[1]: -0.527230363217 +0.527230319867 # Q_parm[2]: -0.00496264752055 +0.00496267767088 # Q_parm[3]: --8.65326276392 +-8.65326285695 # Q_parm[4]: -0.531522395974 +0.531522334722 # Q_parm[5]: -0.00309001347878 +0.00309004466733 # Q_parm[6]: --8.64900515828 +-8.64900529653 # Q_parm[7]: 0.00000000000 # selparm[1]: -54.0756629669 +54.0756624897 # selparm[2]: -20.1908426518 +20.1908419656 # selparm[3]: -36.6088694796 +36.6088695883 # selparm[4]: -6.57897092497 +6.57897078663 # selparm[5]: -53.7236750453 +53.7236746448 # selparm[6]: -19.0142543331 +19.0142536613 # selparm[7]: -36.2187481639 +36.2187483484 # selparm[8]: -5.00691174754 +5.00691185380 # parm_dev[1]: - 0.178304356472 0.0133814518655 0.00571620161681 0.0197967241474 0.0600320042180 -0.00272001748490 -0.00420698856692 0.0362079651112 0.0628825236813 -0.0288185071560 -0.0273610301503 -0.0137858487377 -0.0117382541676 0.0188147944746 0.0276951443289 0.0217045944221 0.0218105290086 0.000803880402584 0.0109052535960 0.00332420607539 -0.0467721023705 -0.0373709424985 -0.0201176950793 -0.00195684846452 0.00180183224329 0.0335570954251 0.0220820520730 -0.00658498242719 0.00868516373181 -0.0285825355185 0.00000000000 + 0.178303627316 0.0133860400174 0.00571622118799 0.0197973875363 0.0600285756102 -0.00271894393311 -0.00420792285303 0.0362100449350 0.0628853104480 -0.0288188510484 -0.0273599268195 -0.0137824408054 -0.0117385059709 0.0188138404385 0.0276935118993 0.0217078606477 0.0218104052069 0.000802434147300 0.0109059094970 0.00332637247678 -0.0467710603266 -0.0373714075682 -0.0201175501490 -0.00195810613025 0.00180022348306 0.0335566594800 0.0220866350381 -0.00658346912321 0.00868510851729 -0.0285827052075 0.00000000000 # checksum999: 999.000000000 diff --git a/models/two_morph_seas_areas/ss_summary.sso b/models/two_morph_seas_areas/ss_summary.sso index 2e0ccbc..b4b925f 100644 --- a/models/two_morph_seas_areas/ss_summary.sso +++ b/models/two_morph_seas_areas/ss_summary.sso @@ -1,8 +1,8 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 data.ss #_DataFile control.ss #_Control -Run_Date: Tue Feb 14 23:50:12 2023 -Final_phase: 6 N_iterations: 713 +Run_Date: Tue Oct 31 17:12:56 2023 +Final_phase: 6 N_iterations: 680 #_LIKELIHOOD Label logL*Lambda TOTAL_LogL 3007.73 @@ -14,7 +14,7 @@ Size_at_age 172.837 Gen_Size_Comp 1010.11 Recruitment -18.8009 InitEQ_regime 0 -Sum_recdevs 3.88578e-16 +Sum_recdevs -2.08167e-16 Forecast_Recruitment 0 Parm_priors 5.0524 Parm_softbounds 0.0026391 @@ -85,43 +85,43 @@ SR_BH_steep 0.63828 0.0524718 Act 0.54785 SR_sigmaR 0.6 0 Fix 0.3 SR_regime 0 0 Fix 0.5 SR_autocorr 0 0 Fix 0 -Main_RecrDev_1971 0.0618206 0.219656 Act 0.506182 -Main_RecrDev_1972 -0.010901 0.29273 Act 0.49891 -Main_RecrDev_1973 0.0906268 0.249151 Act 0.509063 -Main_RecrDev_1974 -0.220164 0.297393 Act 0.477984 +Main_RecrDev_1971 0.0618202 0.219656 Act 0.506182 +Main_RecrDev_1972 -0.0109003 0.29273 Act 0.49891 +Main_RecrDev_1973 0.0906262 0.249151 Act 0.509063 +Main_RecrDev_1974 -0.220163 0.297393 Act 0.477984 Main_RecrDev_1975 0.12491 0.252651 Act 0.512491 Main_RecrDev_1976 0.68784 0.169186 Act 0.568784 -Main_RecrDev_1977 -0.0754579 0.294703 Act 0.492454 -Main_RecrDev_1978 0.0186115 0.260969 Act 0.501861 +Main_RecrDev_1977 -0.0754578 0.294703 Act 0.492454 +Main_RecrDev_1978 0.0186113 0.260969 Act 0.501861 Main_RecrDev_1979 0.324604 0.214243 Act 0.53246 Main_RecrDev_1980 0.123436 0.248064 Act 0.512344 -Main_RecrDev_1981 0.054618 0.227664 Act 0.505462 -Main_RecrDev_1982 -0.203231 0.236821 Act 0.479677 +Main_RecrDev_1981 0.0546181 0.227664 Act 0.505462 +Main_RecrDev_1982 -0.203232 0.236821 Act 0.479677 Main_RecrDev_1983 -0.478855 0.250944 Act 0.452114 -Main_RecrDev_1984 -0.390979 0.25593 Act 0.460902 +Main_RecrDev_1984 -0.39098 0.25593 Act 0.460902 Main_RecrDev_1985 0.507898 0.150449 Act 0.55079 Main_RecrDev_1986 0.362641 0.191576 Act 0.536264 Main_RecrDev_1987 0.348551 0.191819 Act 0.534855 -Main_RecrDev_1988 0.0318674 0.217841 Act 0.503187 +Main_RecrDev_1988 0.0318673 0.217841 Act 0.503187 Main_RecrDev_1989 -0.375788 0.265385 Act 0.462421 -Main_RecrDev_1990 0.545754 0.132647 Act 0.554575 -Main_RecrDev_1991 -0.518635 0.252286 Act 0.448136 +Main_RecrDev_1990 0.545755 0.132647 Act 0.554575 +Main_RecrDev_1991 -0.518636 0.252286 Act 0.448136 Main_RecrDev_1992 -0.686157 0.252876 Act 0.431384 -Main_RecrDev_1993 -0.410672 0.226042 Act 0.458933 +Main_RecrDev_1993 -0.410671 0.226042 Act 0.458933 Main_RecrDev_1994 0.117448 0.170455 Act 0.511745 Main_RecrDev_1995 -0.485283 0.268816 Act 0.451472 Main_RecrDev_1996 0.583759 0.153629 Act 0.558376 -Main_RecrDev_1997 0.855843 0.14702 Act 0.585584 -Main_RecrDev_1998 -0.48637 0.2883 Act 0.451363 +Main_RecrDev_1997 0.855842 0.14702 Act 0.585584 +Main_RecrDev_1998 -0.486369 0.2883 Act 0.451363 Main_RecrDev_1999 -0.301148 0.270744 Act 0.469885 -Main_RecrDev_2000 -0.131943 0.302463 Act 0.486806 -Main_RecrDev_2001 -0.0646436 0.412511 Act 0.493536 +Main_RecrDev_2000 -0.131942 0.302462 Act 0.486806 +Main_RecrDev_2001 -0.0646449 0.412511 Act 0.493535 #_Catchability LnQ_base_SURV_A1(2) 0.52723 0 Fix 0.627269 -Q_extraSD_SURV_A1(2) 0.00496265 0.0725543 Act 0.00992528 +Q_extraSD_SURV_A1(2) 0.00496268 0.0725542 Act 0.00992534 LnQ_base_RECRSVY_A1(3) -8.65326 0 Fix 0.146671 LnQ_base_SURV_A2(5) 0.531522 0 Fix 0.627627 -Q_extraSD_SURV_A2(5) 0.00309001 0.0720794 Act 0.00618001 +Q_extraSD_SURV_A2(5) 0.00309004 0.0720793 Act 0.00618008 LnQ_base_RECRSVY_A2(6) -8.64901 0 Fix 0.146937 LnQ_base_Depletion(7) 0 0 Fix 0.583333 #_Selectivity @@ -135,35 +135,35 @@ Size_inflection_SURV_A2(5) 36.2187 0.419053 Act 0.337623 Size_95%width_SURV_A2(5) 5.00691 0.633681 Act 0.0832957 #_Parm_Dev RecrDist_GP_2_area_2_month_1_DEVadd_1971 0.178304 0.589282 ACT 0.508915 -RecrDist_GP_2_area_2_month_1_DEVadd_1972 0.0133815 0.987647 ACT 0.500669 -RecrDist_GP_2_area_2_month_1_DEVadd_1973 0.0057162 0.982071 ACT 0.500286 -RecrDist_GP_2_area_2_month_1_DEVadd_1974 0.0197967 0.989847 ACT 0.50099 -RecrDist_GP_2_area_2_month_1_DEVadd_1975 0.060032 0.980541 ACT 0.503002 -RecrDist_GP_2_area_2_month_1_DEVadd_1976 -0.00272002 0.945484 ACT 0.499864 -RecrDist_GP_2_area_2_month_1_DEVadd_1977 -0.00420699 0.986742 ACT 0.49979 -RecrDist_GP_2_area_2_month_1_DEVadd_1978 0.036208 0.98179 ACT 0.50181 -RecrDist_GP_2_area_2_month_1_DEVadd_1979 0.0628825 0.966277 ACT 0.503144 -RecrDist_GP_2_area_2_month_1_DEVadd_1980 -0.0288185 0.97531 ACT 0.498559 -RecrDist_GP_2_area_2_month_1_DEVadd_1981 -0.027361 0.974508 ACT 0.498632 -RecrDist_GP_2_area_2_month_1_DEVadd_1982 -0.0137858 0.982498 ACT 0.499311 -RecrDist_GP_2_area_2_month_1_DEVadd_1983 -0.0117383 0.988838 ACT 0.499413 -RecrDist_GP_2_area_2_month_1_DEVadd_1984 0.0188148 0.987828 ACT 0.500941 -RecrDist_GP_2_area_2_month_1_DEVadd_1985 0.0276951 0.943989 ACT 0.501385 -RecrDist_GP_2_area_2_month_1_DEVadd_1986 0.0217046 0.961472 ACT 0.501085 -RecrDist_GP_2_area_2_month_1_DEVadd_1987 0.0218105 0.95928 ACT 0.501091 -RecrDist_GP_2_area_2_month_1_DEVadd_1988 0.00080388 0.976725 ACT 0.50004 -RecrDist_GP_2_area_2_month_1_DEVadd_1989 0.0109053 0.990304 ACT 0.500545 -RecrDist_GP_2_area_2_month_1_DEVadd_1990 0.00332421 0.94005 ACT 0.500166 -RecrDist_GP_2_area_2_month_1_DEVadd_1991 -0.0467721 0.992393 ACT 0.497661 -RecrDist_GP_2_area_2_month_1_DEVadd_1992 -0.0373709 0.993481 ACT 0.498131 -RecrDist_GP_2_area_2_month_1_DEVadd_1993 -0.0201177 0.988936 ACT 0.498994 -RecrDist_GP_2_area_2_month_1_DEVadd_1994 -0.00195685 0.976916 ACT 0.499902 -RecrDist_GP_2_area_2_month_1_DEVadd_1995 0.00180183 0.995416 ACT 0.50009 -RecrDist_GP_2_area_2_month_1_DEVadd_1996 0.0335571 0.977527 ACT 0.501678 -RecrDist_GP_2_area_2_month_1_DEVadd_1997 0.0220821 0.976876 ACT 0.501104 -RecrDist_GP_2_area_2_month_1_DEVadd_1998 -0.00658498 0.997991 ACT 0.499671 -RecrDist_GP_2_area_2_month_1_DEVadd_1999 0.00868516 0.996888 ACT 0.500434 -RecrDist_GP_2_area_2_month_1_DEVadd_2000 -0.0285825 0.998266 ACT 0.498571 +RecrDist_GP_2_area_2_month_1_DEVadd_1972 0.013386 0.987647 ACT 0.500669 +RecrDist_GP_2_area_2_month_1_DEVadd_1973 0.00571622 0.982071 ACT 0.500286 +RecrDist_GP_2_area_2_month_1_DEVadd_1974 0.0197974 0.989847 ACT 0.50099 +RecrDist_GP_2_area_2_month_1_DEVadd_1975 0.0600286 0.980541 ACT 0.503001 +RecrDist_GP_2_area_2_month_1_DEVadd_1976 -0.00271894 0.945484 ACT 0.499864 +RecrDist_GP_2_area_2_month_1_DEVadd_1977 -0.00420792 0.986742 ACT 0.49979 +RecrDist_GP_2_area_2_month_1_DEVadd_1978 0.03621 0.98179 ACT 0.50181 +RecrDist_GP_2_area_2_month_1_DEVadd_1979 0.0628853 0.966277 ACT 0.503144 +RecrDist_GP_2_area_2_month_1_DEVadd_1980 -0.0288189 0.97531 ACT 0.498559 +RecrDist_GP_2_area_2_month_1_DEVadd_1981 -0.0273599 0.974508 ACT 0.498632 +RecrDist_GP_2_area_2_month_1_DEVadd_1982 -0.0137824 0.982498 ACT 0.499311 +RecrDist_GP_2_area_2_month_1_DEVadd_1983 -0.0117385 0.988838 ACT 0.499413 +RecrDist_GP_2_area_2_month_1_DEVadd_1984 0.0188138 0.987828 ACT 0.500941 +RecrDist_GP_2_area_2_month_1_DEVadd_1985 0.0276935 0.943989 ACT 0.501385 +RecrDist_GP_2_area_2_month_1_DEVadd_1986 0.0217079 0.961472 ACT 0.501085 +RecrDist_GP_2_area_2_month_1_DEVadd_1987 0.0218104 0.95928 ACT 0.50109 +RecrDist_GP_2_area_2_month_1_DEVadd_1988 0.000802434 0.976725 ACT 0.50004 +RecrDist_GP_2_area_2_month_1_DEVadd_1989 0.0109059 0.990304 ACT 0.500545 +RecrDist_GP_2_area_2_month_1_DEVadd_1990 0.00332637 0.94005 ACT 0.500166 +RecrDist_GP_2_area_2_month_1_DEVadd_1991 -0.0467711 0.992393 ACT 0.497661 +RecrDist_GP_2_area_2_month_1_DEVadd_1992 -0.0373714 0.993481 ACT 0.498131 +RecrDist_GP_2_area_2_month_1_DEVadd_1993 -0.0201176 0.988936 ACT 0.498994 +RecrDist_GP_2_area_2_month_1_DEVadd_1994 -0.00195811 0.976916 ACT 0.499902 +RecrDist_GP_2_area_2_month_1_DEVadd_1995 0.00180022 0.995416 ACT 0.50009 +RecrDist_GP_2_area_2_month_1_DEVadd_1996 0.0335567 0.977527 ACT 0.501678 +RecrDist_GP_2_area_2_month_1_DEVadd_1997 0.0220866 0.976876 ACT 0.501104 +RecrDist_GP_2_area_2_month_1_DEVadd_1998 -0.00658347 0.997991 ACT 0.499671 +RecrDist_GP_2_area_2_month_1_DEVadd_1999 0.00868511 0.996888 ACT 0.500434 +RecrDist_GP_2_area_2_month_1_DEVadd_2000 -0.0285827 0.998266 ACT 0.498571 RecrDist_GP_2_area_2_month_1_DEVadd_2001 0 1 ACT 0.5 #_Derived_Quantities #_Spawn_Bio @@ -204,18 +204,18 @@ SSB_2001 11218.6 1794.61 Recr_Virgin 13476 267.376 Recr_Initial 13476 267.376 Recr_1971 11973.9 2558.96 -Recr_1972 11134 3259.08 +Recr_1972 11134.1 3259.08 Recr_1973 12320.8 3049.61 -Recr_1974 9018.4 2675.15 +Recr_1974 9018.41 2675.15 Recr_1975 12718.5 3200.56 -Recr_1976 22271.2 3702.51 +Recr_1976 22271.3 3702.51 Recr_1977 10336.9 3043.51 Recr_1978 11287.9 2933.81 Recr_1979 15206.5 3232.46 Recr_1980 12313.1 3046.1 Recr_1981 11336.2 2571.36 Recr_1982 8591.12 2027.37 -Recr_1983 6379.12 1599.85 +Recr_1983 6379.13 1599.85 Recr_1984 6790.01 1749.2 Recr_1985 16189.1 2396.41 Recr_1986 13494.4 2599.99 @@ -229,11 +229,11 @@ Recr_1993 4315.9 1024.54 Recr_1994 7264.22 1351.35 Recr_1995 3918.26 1164.63 Recr_1996 11109.9 2086.18 -Recr_1997 13951.6 2744.27 -Recr_1998 3538.47 1183.1 +Recr_1997 13951.6 2744.28 +Recr_1998 3538.48 1183.1 Recr_1999 4114.65 1313.63 Recr_2000 4735.05 1727.34 -Recr_2001 5005.9 2431.11 +Recr_2001 5005.89 2431.1 #_SPR Basis= 1-SPR SPRratio_1972 0.0231797 0.000423157 SPRratio_1973 0.10773 0.00179942 @@ -262,7 +262,7 @@ SPRratio_1995 0.798121 0.0128283 SPRratio_1996 0.812251 0.0146181 SPRratio_1997 0.767877 0.0196955 SPRratio_1998 0.777829 0.022448 -SPRratio_1999 0.78567 0.0257984 +SPRratio_1999 0.78567 0.0257985 SPRratio_2000 0.789454 0.0298579 SPRratio_2001 0.790218 0.0345568 #_F Basis= _abs_F;_with_F=Z-M;_for_ages_15_15 @@ -315,7 +315,7 @@ Bratio_1987 1.56707 0.195208 Bratio_1988 1.29632 0.159689 Bratio_1989 1.06955 0.129713 Bratio_1990 0.899953 0.106773 -Bratio_1991 0.788422 0.0907781 +Bratio_1991 0.788421 0.0907781 Bratio_1992 0.722468 0.080133 Bratio_1993 0.717353 0.0766151 Bratio_1994 0.70684 0.0723483 @@ -365,13 +365,13 @@ Grow_std_GP:_1_Mal_A_2 37.9862 0.202514 Grow_std_GP:_1_Mal_A_14 65.7699 0.190088 Grow_std_GP:_1_Mal_A_26 69.771 0.332137 Grow_std_GP:_1_Mal_A_40 70.3818 0.391026 -NatAge_std_1_Fem_A_1 1132.38 550.667 -NatAge_std_1_Fem_A_2 960.844 352.152 +NatAge_std_1_Fem_A_1 1132.38 550.666 +NatAge_std_1_Fem_A_2 960.845 352.153 NatAge_std_1_Fem_A_14 100.086 29.6986 NatAge_std_1_Fem_A_26 4.78734 1.52716 NatAge_std_1_Fem_A_40 3.18824 1.00037 -NatAge_std_1_Mal_A_1 1132.38 550.667 -NatAge_std_1_Mal_A_2 958.793 351.591 +NatAge_std_1_Mal_A_1 1132.38 550.666 +NatAge_std_1_Mal_A_2 958.795 351.592 NatAge_std_1_Mal_A_14 101.218 29.8183 NatAge_std_1_Mal_A_26 5.27964 1.6448 NatAge_std_1_Mal_A_40 3.60793 1.08474 @@ -403,7 +403,7 @@ SmryBio_1990 69370.3 0.0 SmryBio_1991 63400.3 0.0 SmryBio_1992 58281 0.0 SmryBio_1993 56085.8 0.0 -SmryBio_1994 53271.4 0.0 +SmryBio_1994 53271.5 0.0 SmryBio_1995 50322 0.0 SmryBio_1996 46688.4 0.0 SmryBio_1997 43881.3 0.0 @@ -416,10 +416,10 @@ SURV_A1_1977 12.1304 0.0458586 #exp(): 185420 q: 1.69423 SURV_A1_1980 11.9979 0.0444945 #exp(): 162411 q: 1.69423 SURV_A1_1983 11.735 0.0423787 #exp(): 124866 q: 1.69423 SURV_A1_1986 11.3623 0.0386204 #exp(): 86017.4 q: 1.69423 -SURV_A1_1989 10.9714 0.0288044 #exp(): 58188.5 q: 1.69423 +SURV_A1_1989 10.9714 0.0288045 #exp(): 58188.5 q: 1.69423 SURV_A1_1992 10.7329 0.0130616 #exp(): 45841 q: 1.69423 SURV_A1_1995 10.5698 0.0213852 #exp(): 38941.9 q: 1.69423 -SURV_A1_1998 10.4123 0.0630236 #exp(): 33264.9 q: 1.69423 +SURV_A1_1998 10.4123 0.0630237 #exp(): 33264.9 q: 1.69423 SURV_A1_2001 10.4185 0.123555 #exp(): 33472.8 q: 1.69423 SURV_A2_1977 12.134 0.0460781 #exp(): 186098 q: 1.70152 SURV_A2_1980 12.001 0.044705 #exp(): 162922 q: 1.70152 diff --git a/models/two_morph_seas_areas/starter.ss b/models/two_morph_seas_areas/starter.ss index 238ae86..e13832f 100644 --- a/models/two_morph_seas_areas/starter.ss +++ b/models/two_morph_seas_areas/starter.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -9,9 +9,9 @@ data.ss control.ss 0 # 0=use init values in control file; 1=use ss.par -1 # run display detail (0,1,2) +1 # run display detail (0 = minimal; 1=one line per iter; 2=each logL) 2 # detailed output (0=minimal for data-limited, 1=high (w/ wtatage.ss_new), 2=brief, 3=custom) -# custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end +#COND: custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end 0 # write 1st iteration details to echoinput.sso file (0,1) 0 # write parm values to ParmTrace.sso (0=no,1=good,active; 2=good,all; 3=every_iter,all_parms; 4=every,active) 0 # write to cumreport.sso (0=no,1=like×eries; 2=add survey fits) @@ -27,7 +27,7 @@ control.ss -1 # min yr for sdreport outputs (-1 for styr); #_1969 -2 # max yr for sdreport outputs (-1 for endyr+1; -2 for endyr+Nforecastyrs); #_2001 0 # N individual STD years -#vector of year values +#COND: vector of year values if N>0 0.0001 # final convergence criteria (e.g. 1.0e-04) 0 # retrospective year relative to end year (e.g. -4) @@ -35,10 +35,10 @@ control.ss 2 # Depletion basis: denom is: 0=skip; 1=X*SPBvirgin; 2=X*SPBmsy; 3=X*SPB_styr; 4=X*SPB_endyr; 5=X*dyn_Bzero; values>=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) 1 # Fraction (X) for Depletion denominator (e.g. 0.4) 4 # SPR_report_basis: 0=skip; 1=(1-SPR)/(1-SPR_tgt); 2=(1-SPR)/(1-SPR_MSY); 3=(1-SPR)/(1-SPR_Btarget); 4=rawSPR -4 # F_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=true F for range of ages; 5=unweighted avg. F for range of ages - 15 15 #_min and max age over which average F will be calculated, with F=Z-M -0 # F_std_basis: 0=raw_annual_F; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual_F; values >=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) +4 # F_std_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=mean F for range of ages (numbers weighted); 5=unweighted mean F for range of ages + 15 15 # min and max age over which mean F will be calculated, with F=Z-M +0 # F_std_scaling: 0=no scaling; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual F_std, Fmsy means F_std@msy; values >=11 invoke N multiyr (up to 9!) using 10's digit; >100 invokes log(ratio) 0.08 # MCMC output detail: integer part (0=default; 1=adds obj func components; 2= +write_report_for_each_mceval); and decimal part (added to SR_LN(R0) on first call to mcmc) -0 # ALK tolerance ***disabled in code (example 0.0001) --1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1676418773 +0 # ALK tolerance ***disabled in code +-1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1698772577 3.30 # check value for end of file and for version control diff --git a/models/two_morph_seas_areas/warning.sso b/models/two_morph_seas_areas/warning.sso index 958cbb6..50097a7 100644 --- a/models/two_morph_seas_areas/warning.sso +++ b/models/two_morph_seas_areas/warning.sso @@ -1,7 +1,7 @@ Note 1 Information: Max data length bin: 90 < max pop len bins: 94; so will accumulate larger pop len bins Warning 1 : Forecast=0 or -1, so rest of forecast file will not be read and can be omitted; Warning 2 : poor convergence in F0.1 search target= 0.657823 actual= 0.661265 -Warning 3 : Final gradient: 0.000681377 is larger than final_conv: 0.0001 -Warning 4 : Reminder: Number of lamdas !=0.0 and !=1.0: 1 -Note 2 Information: N parameters that are on or within 1% of min-max bound: 2; check results, variance may be suspect - 4 warnings and 2 notes +Note 2 Information: A revised protocol for the Fcast_yr specification is available and recommended. +Warning 3 : Reminder: Number of lamdas !=0.0 and !=1.0: 1 +Note 3 Information: N parameters that are on or within 1% of min-max bound: 2; check results, variance may be suspect + 3 warnings and 3 notes diff --git a/models/vermillion_snapper/forecast.ss b/models/vermillion_snapper/forecast.ss index 01c1e26..6e3926d 100644 --- a/models/vermillion_snapper/forecast.ss +++ b/models/vermillion_snapper/forecast.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 # for all year entries except rebuilder; enter either: actual year, -999 for styr, 0 for endyr, neg number for rel. endyr 1 # Benchmarks: 0=skip; 1=calc F_spr,F_btgt,F_msy; 2=calc F_spr,F0.1,F_msy; 3=add F_Blimit; 2 # Do_MSY: 1= set to F(SPR); 2=calc F(MSY); 3=set to F(Btgt) or F0.1; 4=set to F(endyr); 5=calc F(MEY) with MSY_unit options @@ -15,27 +15,47 @@ # where none and simple require no input after this line; simple sets forecast F same as end year F 10 # N forecast years 1 # Fmult (only used for Do_Forecast==5) such that apical_F(f)=Fmult*relF(f) -#_Fcast_years: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) +#_Fcast_years for averaging: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) 0 0 -3 0 2005 2014 # 2017 2017 2014 2017 2005 2014 -0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from annual time-vary parms) +0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from time-vary parms). NOTE: logic reverses in new format +# A revised protocol for the Fcast_yr specification is available and recommended. Template is below. +# +#-12345 # code to invoke new format for expanded fcast year controls +# biology and selectivity vectors are updated annually in the forecast according to timevary parameters, so check end year of blocks and dev vectors +# input in this section directs creation of means over historical years to override any time_vary changes +# Factors implemented so far: 1=M, 4=recr_dist, 5=migration, 10=selectivity, 11=rel_F, 12=recruitment +# rel_F and Recruitment also have additional controls later in forecast.ss +# input as list: Factor, method (0, 1), st_yr, end_yr +# Terminate with -9999 for Factor +# st_yr and end_yr input can be actual year; <=0 sets rel. to timeseries endyr; Except -999 for st_yr sets to first year if time series +# Method = 0 (or omitted) continue using time_vary parms; 1 use mean of derived factor over specified year range +# Factor method st_yr end_yr +# 10 1 0 0 # selectivity; use: 10 1 0 0 +# 11 1 -3 0 # rel_F; use: 11 1 -3 0 +# 12 1 2005 2014 # recruitment; use: 12 1 2005 2014 +#-9999 0 0 0 +# 2 # Control rule method (0: none; 1: ramp does catch=f(SSB), buffer on F; 2: ramp does F=f(SSB), buffer on F; 3: ramp does catch=f(SSB), buffer on catch; 4: ramp does F=f(SSB), buffer on catch) # values for top, bottom and buffer exist, but not used when Policy=0 0.01 # Control rule inflection for constant F (as frac of Bzero, e.g. 0.40); must be > control rule cutoff, or set to -1 to use Bmsy/SSB_unf 0.001 # Control rule cutoff for no F (as frac of Bzero, e.g. 0.10) 1 # Buffer: enter Control rule target as fraction of Flimit (e.g. 0.75), negative value invokes list of [year, scalar] with filling from year to YrMax +# 3 #_N forecast loops (1=OFL only; 2=ABC; 3=get F from forecast ABC catch with allocations applied) -3 #_First forecast loop with stochastic recruitment -3 #_Forecast recruitment: 0= spawn_recr; 1=value*spawn_recr_fxn; 2=value*VirginRecr; 3=recent mean from yr range above (need to set phase to -1 in control to get constant recruitment in MCMC) -100 # not used -0 #_Forecast loop control #5 (reserved for future bells&whistles) -2120 #FirstYear for caps and allocations (should be after years with fixed inputs) +3 # First forecast loop with stochastic recruitment +4 # Forecast base recruitment: 0= spawn_recr; 1=mult*spawn_recr_fxn; 2=mult*VirginRecr; 3=deprecated; 4=mult*mean_over_yr_range +# for option 4, set phase for fore_recr_devs to -1 in control to get constant mean in MCMC, else devs will be applied +1 # multiplier on base recruitment +0 # not used +# +2120 # FirstYear for caps and allocations (should be after years with fixed inputs) 0 # stddev of log(realized catch/target catch) in forecast (set value>0.0 to cause active impl_error) 0 # Do West Coast gfish rebuilder output: 0=no; 1=yes 2019 # Rebuilder: first year catch could have been set to zero (Ydecl)(-1 to set to 1999) 2014 # Rebuilder: year for current age structure (Yinit) (-1 to set to endyear+1) -1 # fleet relative F: 1=use first-last alloc year; 2=read seas, fleet, alloc list below -# Note that fleet allocation is used directly as average F if Do_Forecast=4 +1 # fleet relative F: 1=use mean over year range; 2=read seas, fleet, alloc list below +# Note that fleet allocation values is used directly as F if Do_Forecast=4 2 # basis for fcast catch tuning and for fcast catch caps and allocation (2=deadbio; 3=retainbio; 5=deadnum; 6=retainnum); NOTE: same units for all fleets # Conditional input if relative F choice = 2 # enter list of: season, fleet, relF; if used, terminate with season=-9999 diff --git a/models/vermillion_snapper/ss.par b/models/vermillion_snapper/ss.par index a33d717..1ed9ca2 100644 --- a/models/vermillion_snapper/ss.par +++ b/models/vermillion_snapper/ss.par @@ -1,4 +1,4 @@ -# Number of parameters = 325 Objective function value = 359.687327137238 Maximum gradient component = 4.51711272779304e-05 +# Number of parameters = 325 Objective function value = 359.687327137238 Maximum gradient component = 0.000210451507491268 # dummy_parm: 1.00000000000 # MGparm[1]: @@ -28,9 +28,9 @@ # MGparm[13]: 0.500000000000 # SR_parm[1]: -10.2108820327 +10.2108820340 # SR_parm[2]: -0.729779305474 +0.729779304209 # SR_parm[3]: 0.300000000000 # SR_parm[4]: @@ -38,571 +38,571 @@ # SR_parm[5]: 0.00000000000 # recdev1: - -0.499170871931 -0.252459818252 -0.243284009163 -0.173488413214 -0.274908473295 0.272083571875 0.182309571900 0.154794801737 0.113740760310 0.108373443429 -0.159756062561 -0.0260478092179 0.198589210635 -0.241049947004 -0.319784700717 -0.487077654064 -0.184548383007 0.139295955999 0.247648120589 0.108629445781 0.260079384428 0.837105681065 0.393242289106 -0.154316094427 + -0.499170867844 -0.252459817382 -0.243284010810 -0.173488415351 -0.274908474667 0.272083569876 0.182309571208 0.154794802353 0.113740760474 0.108373442621 -0.159756062278 -0.0260478075750 0.198589210838 -0.241049944731 -0.319784698358 -0.487077652035 -0.184548381032 0.139295955749 0.247648120805 0.108629444261 0.260079383584 0.837105682857 0.393242279026 -0.154316091590 # Fcast_recruitments: 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 # F_rate[1]: -3.37475438394e-05 +3.37475437557e-05 # F_rate[2]: -6.74467541810e-05 +6.74467539709e-05 # F_rate[3]: -0.000102276364254 +0.000102276364047 # F_rate[4]: -0.000137744935630 +0.000137744935340 # F_rate[5]: -0.000174587941491 +0.000174587941209 # F_rate[6]: -0.000212664651276 +0.000212664650875 # F_rate[7]: -0.000251782592141 +0.000251782591619 # F_rate[8]: -0.000292950936594 +0.000292950935978 # F_rate[9]: -0.000336355492424 +0.000336355491533 # F_rate[10]: -0.000382098831631 +0.000382098831020 # F_rate[11]: -0.000431082872035 +0.000431082871231 # F_rate[12]: -0.000481527992528 +0.000481527992022 # F_rate[13]: -0.000531716736669 +0.000531716734780 # F_rate[14]: -0.000579522957932 +0.000579522957429 # F_rate[15]: -0.000641223933668 +0.000641223932172 # F_rate[16]: -0.000644776176289 +0.000644776175645 # F_rate[17]: -0.000340631587104 +0.000340631586485 # F_rate[18]: -0.000699134360275 +0.000699134357786 # F_rate[19]: -0.00140952412002 +0.00140952411666 # F_rate[20]: -0.00182360360490 +0.00182360360230 # F_rate[21]: -0.00173029595721 +0.00173029595558 # F_rate[22]: -0.00192143795745 +0.00192143795456 # F_rate[23]: -0.00172019185544 +0.00172019185098 # F_rate[24]: -0.00293506854808 +0.00293506854270 # F_rate[25]: -0.00281599367336 +0.00281599366380 # F_rate[26]: -0.00619971044397 +0.00619971042634 # F_rate[27]: -0.00551135546622 +0.00551135545165 # F_rate[28]: -0.00756800760240 +0.00756800758925 # F_rate[29]: -0.00660966343040 +0.00660966342231 # F_rate[30]: -0.00512448701257 +0.00512448698245 # F_rate[31]: -0.00380840554119 +0.00380840553053 # F_rate[32]: -0.00561256014770 +0.00561256012530 # F_rate[33]: -0.00591157955559 +0.00591157953652 # F_rate[34]: -0.00947612454827 +0.00947612453802 # F_rate[35]: -0.0136312913357 +0.0136312913226 # F_rate[36]: -0.0178835100999 +0.0178835100558 # F_rate[37]: -0.0192575513562 +0.0192575513905 # F_rate[38]: -0.0157872399003 +0.0157872399380 # F_rate[39]: -0.0153961278256 +0.0153961278854 # F_rate[40]: -0.0156593077340 +0.0156593077680 # F_rate[41]: -0.0394760726118 +0.0394760725584 # F_rate[42]: -0.0335011988913 +0.0335011988496 # F_rate[43]: -0.0451572301337 +0.0451572300940 # F_rate[44]: -0.0667085734670 +0.0667085735333 # F_rate[45]: -0.0688994148451 +0.0688994149984 # F_rate[46]: -0.0722380885084 +0.0722380887711 # F_rate[47]: -0.0613844112034 +0.0613844112600 # F_rate[48]: -0.0609124333666 +0.0609124333796 # F_rate[49]: -0.0510698936934 +0.0510698937225 # F_rate[50]: -0.0625273106464 +0.0625273106738 # F_rate[51]: -0.0496801826028 +0.0496801826279 # F_rate[52]: -0.0557823079530 +0.0557823079054 # F_rate[53]: -0.0648572694099 +0.0648572694031 # F_rate[54]: -0.0728401117640 +0.0728401117472 # F_rate[55]: -0.0576947631701 +0.0576947632056 # F_rate[56]: 0.0852313442460 # F_rate[57]: -0.0910478493349 +0.0910478493541 # F_rate[58]: -0.0919464034986 +0.0919464035130 # F_rate[59]: -0.102780810343 +0.102780810272 # F_rate[60]: -0.152236901901 +0.152236901704 # F_rate[61]: -0.0732149193986 +0.0732149193355 # F_rate[62]: -0.141999575354 +0.141999574991 # F_rate[63]: -0.102494742793 +0.102494742337 # F_rate[64]: -0.0588204717309 +0.0588204715575 # F_rate[65]: -0.0657596615180 +0.0657596613029 # F_rate[66]: -0.0352963665335 +0.0352963664546 # F_rate[67]: -0.0381923873958 +0.0381923872645 # F_rate[68]: -0.0381869633259 +0.0381869633320 # F_rate[69]: -2.99222540932e-05 +2.99222540222e-05 # F_rate[70]: -5.99393052578e-05 +5.99393051336e-05 # F_rate[71]: -9.03008803689e-05 +9.03008801216e-05 # F_rate[72]: -0.000121407278609 +0.000121407278375 # F_rate[73]: -0.000153529005241 +0.000153529004978 # F_rate[74]: -0.000186752298190 +0.000186752297569 # F_rate[75]: -0.000221127523402 +0.000221127523039 # F_rate[76]: -0.000256858485388 +0.000256858485145 # F_rate[77]: -0.000294200941842 +0.000294200941339 # F_rate[78]: -0.000333597662608 +0.000333597661796 # F_rate[79]: -0.000375430852347 +0.000375430851468 # F_rate[80]: -0.000419736525583 +0.000419736524700 # 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F_rate[205]: -0.0498024711626 +0.0498024710316 # F_rate[206]: -0.0679096684750 +0.0679096682137 # F_rate[207]: -0.0802092205961 +0.0802092210234 # F_rate[208]: -0.0843452100067 +0.0843452097073 # F_rate[209]: -0.109352387223 +0.109352387012 # F_rate[210]: -0.113995331297 +0.113995331391 # F_rate[211]: -0.145763216759 +0.145763215698 # F_rate[212]: -0.166918937852 +0.166918937916 # F_rate[213]: -0.204478864209 +0.204478864343 # F_rate[214]: -0.220489904766 +0.220489904915 # F_rate[215]: -0.220479397878 +0.220479396163 # F_rate[216]: -0.166982213071 +0.166982213030 # F_rate[217]: -0.160827824504 +0.160827824339 # F_rate[218]: -0.183444931258 +0.183444931189 # F_rate[219]: -0.193873722753 +0.193873722863 # F_rate[220]: -0.215364392988 +0.215364392135 # F_rate[221]: -0.212074915481 +0.212074915398 # F_rate[222]: -0.231295084499 +0.231295085104 # F_rate[223]: -0.235265633551 +0.235265632711 # F_rate[224]: -0.267890784473 +0.267890784030 # F_rate[225]: -0.252672665271 +0.252672662821 # F_rate[226]: -0.241416062561 +0.241416061384 # F_rate[227]: -0.236463461982 +0.236463462566 # F_rate[228]: -0.240708253918 +0.240708251137 # F_rate[229]: -0.240162765603 +0.240162763552 # F_rate[230]: -0.242292707863 +0.242292707309 # F_rate[231]: -0.252188194827 +0.252188194185 # F_rate[232]: -0.277413192959 +0.277413192486 # F_rate[233]: -0.294155834899 +0.294155834588 # F_rate[234]: -0.308793632974 +0.308793635575 # F_rate[235]: -0.316240707517 +0.316240710274 # F_rate[236]: -0.287171305432 +0.287171305999 # F_rate[237]: -0.273556685335 +0.273556687322 # F_rate[238]: -0.276559158162 +0.276559159815 # F_rate[239]: -0.313498512383 +0.313498513859 # F_rate[240]: -0.303118274200 +0.303118275618 # F_rate[241]: -0.330869214819 +0.330869216554 # F_rate[242]: -0.274674281879 +0.274674283071 # F_rate[243]: -0.251512399382 +0.251512399416 # F_rate[244]: -0.276153520766 +0.276153521742 # F_rate[245]: -0.242705767907 +0.242705768975 # F_rate[246]: -0.253442669812 +0.253442671360 # F_rate[247]: -0.319616986545 +0.319616988449 # F_rate[248]: -0.362349448218 +0.362349448683 # F_rate[249]: -0.554456226904 +0.554456223927 # F_rate[250]: -0.427143361874 +0.427143363972 # F_rate[251]: -0.402655589325 +0.402655588886 # F_rate[252]: -0.414598639130 +0.414598637239 # F_rate[253]: -0.503301885961 +0.503301882338 # F_rate[254]: -0.328666765067 +0.328666762965 # F_rate[255]: -0.263139498506 +0.263139496799 # F_rate[256]: -0.291187708647 +0.291187708411 # F_rate[257]: -0.360471934487 +0.360471935887 # F_rate[258]: -0.308644882552 +0.308644883627 # F_rate[259]: -0.284530010902 +0.284530009959 # F_rate[260]: -0.237245619057 +0.237245618428 # F_rate[261]: -0.154608974508 +0.154608974679 # F_rate[262]: -0.107010378787 +0.107010377580 # F_rate[263]: -0.0763106218888 +0.0763106220477 # F_rate[264]: -0.122599444787 +0.122599444684 # F_rate[265]: -0.0915460019458 +0.0915460017384 # F_rate[266]: -0.109579538289 +0.109579538852 # F_rate[267]: -0.0976432969377 +0.0976432962047 # F_rate[268]: -0.108938536565 +0.108938536583 # F_rate[269]: -0.0869570603471 +0.0869570600989 # F_rate[270]: -0.0714354859237 +0.0714354856647 # F_rate[271]: -0.0734889846196 +0.0734889850214 # F_rate[272]: -0.0796822442351 +0.0796822440083 # Q_parm[1]: --8.91223607850 +-8.91223607756 # Q_parm[2]: --8.55918429802 +-8.55918429674 # Q_parm[3]: --9.50310185940 +-9.50310185961 # Q_parm[4]: -1.38481155940 +1.38481155995 # Q_parm[5]: -9.88309401952 # Q_parm[6]: --9.80357021289 +-9.80357021262 # Q_parm[7]: -26.2165229283 # Q_parm[8]: --10.4735752217 +-10.4735752220 # Q_parm[9]: --10.5629444105 +-10.5629444115 # selparm[1]: 10.1600000000 # selparm[2]: @@ -654,47 +654,47 @@ # selparm[25]: 19.2273000000 # selparm[26]: --1.57475301886 +-1.57475302026 # selparm[27]: -1.10006241757 +1.10006241669 # selparm[28]: 1.30636000000 # selparm[29]: -1.47843000000 # selparm[30]: -0.597499268426 +0.597499264032 # selparm[31]: 14.7632000000 # selparm[32]: --4.08901087329 +-4.08901086800 # selparm[33]: -1.26272752835 +1.26272752875 # selparm[34]: 3.14557000000 # selparm[35]: -1.21335000000 # selparm[36]: --5.30605274748 +-5.30605271907 # selparm[37]: -2.11995420008 +2.11995419932 # selparm[38]: -0.916153964466 +0.916153964243 # selparm[39]: -3.68074677791 +3.68074677847 # selparm[40]: -2.09660904610 +2.09660904595 # selparm[41]: -3.33275797785 +3.33275797613 # selparm[42]: --9.16507598685 +-9.16507705626 # selparm[43]: -0.549862256040 +0.549862253059 # selparm[44]: -2.95272584125 +2.95272583993 # selparm[45]: --12.1034736640 +-12.1034749016 # selparm[46]: --1.82948429801 +-1.82948428929 # selparm[47]: 0.500000000000 # selparm[48]: diff --git a/models/vermillion_snapper/ss_summary.sso b/models/vermillion_snapper/ss_summary.sso index f197370..d9cbaff 100644 --- a/models/vermillion_snapper/ss_summary.sso +++ b/models/vermillion_snapper/ss_summary.sso @@ -1,8 +1,8 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 vermilion.dat #_DataFile vermilion.ctl #_Control -Run_Date: Thu Jul 6 09:42:13 2023 -Final_phase: 5 N_iterations: 2437 +Run_Date: Tue Oct 31 17:16:19 2023 +Final_phase: 5 N_iterations: 2451 #_LIKELIHOOD Label logL*Lambda TOTAL_LogL 359.687 @@ -12,8 +12,8 @@ Discard -1.70754 Length_comp 88.4498 Age_comp 260.69 Recruitment -12.9067 -InitEQ_regime 1.18001e-30 -Sum_recdevs 4.16334e-16 +InitEQ_regime 0 +Sum_recdevs -4.16334e-16 Forecast_Recruitment 0 Parm_priors 0 Parm_softbounds 0.00753787 @@ -328,7 +328,7 @@ F_fleet_4_YR_1993_s_1 0.362349 0.0723 Act 0.120783 F_fleet_4_YR_1994_s_1 0.554456 0.10197 Act 0.184819 F_fleet_4_YR_1995_s_1 0.427143 0.099401 Act 0.142381 F_fleet_4_YR_1996_s_1 0.402656 0.0844693 Act 0.134218 -F_fleet_4_YR_1997_s_1 0.414599 0.0863987 Act 0.1382 +F_fleet_4_YR_1997_s_1 0.414599 0.0863987 Act 0.138199 F_fleet_4_YR_1998_s_1 0.503302 0.10249 Act 0.167767 F_fleet_4_YR_1999_s_1 0.328667 0.0706641 Act 0.109556 F_fleet_4_YR_2000_s_1 0.263139 0.0542107 Act 0.0877131 @@ -346,7 +346,7 @@ F_fleet_4_YR_2011_s_1 0.10958 0.0247627 Act 0.0365265 F_fleet_4_YR_2012_s_1 0.0976433 0.0219065 Act 0.0325478 F_fleet_4_YR_2013_s_1 0.108939 0.0240565 Act 0.0363128 F_fleet_4_YR_2014_s_1 0.0869571 0.0189781 Act 0.0289857 -F_fleet_4_YR_2015_s_1 0.0714355 0.0153126 Act 0.0238118 +F_fleet_4_YR_2015_s_1 0.0714355 0.0153125 Act 0.0238118 F_fleet_4_YR_2016_s_1 0.073489 0.015614 Act 0.0244963 F_fleet_4_YR_2017_s_1 0.0796822 0.0172539 Act 0.0265607 #_Catchability @@ -401,7 +401,7 @@ Age_95%width_CM_E(1) 0.916154 0.128482 Act 0.0308262 Age_inflection_CM_W(2) 3.68075 0.134813 Act 0.235611 Age_95%width_CM_W(2) 2.09661 0.185826 Act 0.118267 Age_DblN_peak_REC(3) 3.33276 0.184741 Act 0.259195 -Age_DblN_top_logit_REC(3) -9.16508 19.7739 Act 0.0642249 +Age_DblN_top_logit_REC(3) -9.16508 19.7739 Act 0.0642248 Age_DblN_ascend_se_REC(3) 0.549862 0.24526 Act 0.363881 Age_DblN_descend_se_REC(3) 2.95273 0.336669 Act 0.695273 Age_DblN_start_logit_REC(3) -12.1035 49.4222 Act 0.144826 @@ -722,7 +722,7 @@ F_1990 0.124461 0.0134366 F_1991 0.130658 0.0139776 F_1992 0.164242 0.0163509 F_1993 0.178025 0.0192638 -F_1994 0.22616 0.0234489 +F_1994 0.22616 0.0234488 F_1995 0.18867 0.0242926 F_1996 0.172728 0.0248386 F_1997 0.193208 0.0257665 @@ -992,7 +992,7 @@ TotBio_1968 26639.4 0.0 TotBio_1969 26269 0.0 TotBio_1970 25836.8 0.0 TotBio_1971 25463.9 0.0 -TotBio_1972 25153.5 0.0 +TotBio_1972 25153.6 0.0 TotBio_1973 24904.8 0.0 TotBio_1974 24655.9 0.0 TotBio_1975 24439.2 0.0 diff --git a/models/vermillion_snapper/starter.ss b/models/vermillion_snapper/starter.ss index ea16d35..d1bce67 100644 --- a/models/vermillion_snapper/starter.ss +++ b/models/vermillion_snapper/starter.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -9,9 +9,9 @@ vermilion.dat vermilion.ctl 0 # 0=use init values in control file; 1=use ss.par -1 # run display detail (0,1,2) +1 # run display detail (0 = minimal; 1=one line per iter; 2=each logL) 1 # detailed output (0=minimal for data-limited, 1=high (w/ wtatage.ss_new), 2=brief, 3=custom) -# custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end +#COND: custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end 0 # write 1st iteration details to echoinput.sso file (0,1) 1 # write parm values to ParmTrace.sso (0=no,1=good,active; 2=good,all; 3=every_iter,all_parms; 4=every,active) 0 # write to cumreport.sso (0=no,1=like×eries; 2=add survey fits) @@ -27,7 +27,7 @@ vermilion.ctl -1 # min yr for sdreport outputs (-1 for styr); #_1948 -2 # max yr for sdreport outputs (-1 for endyr+1; -2 for endyr+Nforecastyrs); #_2027 0 # N individual STD years -#vector of year values +#COND: vector of year values if N>0 0.0001 # final convergence criteria (e.g. 1.0e-04) 0 # retrospective year relative to end year (e.g. -4) @@ -35,10 +35,10 @@ vermilion.ctl 1 # Depletion basis: denom is: 0=skip; 1=X*SPBvirgin; 2=X*SPBmsy; 3=X*SPB_styr; 4=X*SPB_endyr; 5=X*dyn_Bzero; values>=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) 1 # Fraction (X) for Depletion denominator (e.g. 0.4) 4 # SPR_report_basis: 0=skip; 1=(1-SPR)/(1-SPR_tgt); 2=(1-SPR)/(1-SPR_MSY); 3=(1-SPR)/(1-SPR_Btarget); 4=rawSPR -2 # F_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=true F for range of ages; 5=unweighted avg. F for range of ages -#COND 10 15 #_min and max age over which average F will be calculated with F_reporting=4 or 5 -0 # F_std_basis: 0=raw_annual_F; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual_F; values >=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) +2 # F_std_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=mean F for range of ages (numbers weighted); 5=unweighted mean F for range of ages +#COND 10 15 #_min and max age over which mean F will be calculated with F_reporting=4 or 5 +0 # F_std_scaling: 0=no scaling; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual F_std, Fmsy means F_std@msy; values >=11 invoke N multiyr (up to 9!) using 10's digit; >100 invokes log(ratio) 0 # MCMC output detail: integer part (0=default; 1=adds obj func components; 2= +write_report_for_each_mceval); and decimal part (added to SR_LN(R0) on first call to mcmc) -0 # ALK tolerance ***disabled in code (example 0.0001) --1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1688651067 +0 # ALK tolerance ***disabled in code +-1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1698772677 3.30 # check value for end of file and for version control diff --git a/models/vermillion_snapper/vermilion.ctl b/models/vermillion_snapper/vermilion.ctl index d432bee..94ac86c 100644 --- a/models/vermillion_snapper/vermilion.ctl +++ b/models/vermillion_snapper/vermilion.ctl @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -10,6 +10,7 @@ 1 #_N_Growth_Patterns (Growth Patterns, Morphs, Bio Patterns, GP are terms used interchangeably in SS3) 1 #_N_platoons_Within_GrowthPattern #_Cond 1 #_Platoon_within/between_stdev_ratio (no read if N_platoons=1) +#_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # 4 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) @@ -53,8 +54,8 @@ 0.234 0.342 0.287 0.257 0.239 0.228 0.22 0.215 0.212 0.209 0.207 0.206 0.205 0.204 0.204 # 1 # GrowthModel: 1=vonBert with L1&L2; 2=Richards with L1&L2; 3=age_specific_K_incr; 4=age_specific_K_decr; 5=age_specific_K_each; 6=NA; 7=NA; 8=growth cessation -0.5 #_Age(post-settlement)_for_L1;linear growth below this -999 #_Growth_Age_for_L2 (999 to use as Linf) +0.5 #_Age(post-settlement) for L1 (aka Amin); first growth parameter is size at this age; linear growth below this +999 #_Age(post-settlement) for L2 (aka Amax); 999 to treat as Linf -999 #_exponential decay for growth above maxage (value should approx initial Z; -999 replicates 3.24; -998 to not allow growth above maxage) 0 #_placeholder for future growth feature # @@ -90,6 +91,7 @@ # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement +# Platoon StDev Ratio # Age Error from parameters # catch multiplier # fraction female, by GP @@ -114,7 +116,7 @@ 0 0.5 0 0 0 0 -2 0 0 0 0 0 0 0 # SR_autocorr #_no timevary SR parameters 1 #do_recdev: 0=none; 1=devvector (R=F(SSB)+dev); 2=deviations (R=F(SSB)+dev); 3=deviations (R=R0*dev; dev2=R-f(SSB)); 4=like 3 with sum(dev2) adding penalty -1994 # first year of main recr_devs; early devs can preceed this era +1994 # first year of main recr_devs; early devs can precede this era 2017 # last year of main recr_devs; forecast devs start in following year 3 #_recdev phase 1 # (0/1) to read 13 advanced options @@ -203,7 +205,7 @@ #Pattern:_11; parm=2; selex=1.0 for specified min-max population length bin range #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_6; parm=2+special; non-parm len selex -#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (average over bin range) +#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (mean over bin range) #Pattern:_8; parm=8; double_logistic with smooth transitions and constant above Linf option #Pattern:_9; parm=6; simple 4-parm double logistic with starting length; parm 5 is first length; parm 6=1 does desc as offset #Pattern:_21; parm=2+special; non-parm len selex, read as pairs of size, then selex @@ -213,7 +215,7 @@ #Pattern:_2; parm=6; double_normal with sel(minL) and sel(maxL), using joiners, back compatibile version of 24 with 3.30.18 and older #Pattern:_25; parm=3; exponential-logistic in length #Pattern:_27; parm=special+3; cubic spline in length; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (mean over bin range) #_discard_options:_0=none;_1=define_retention;_2=retention&mortality;_3=all_discarded_dead;_4=define_dome-shaped_retention #_Pattern Discard Male Special 0 2 0 0 # 1 CM_E @@ -236,13 +238,13 @@ #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_16; parm=2; Coleraine - Gaussian #Pattern:_17; parm=nages+1; empirical as random walk N parameters to read can be overridden by setting special to non-zero -#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (average over bin range) +#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (mean over bin range) #Pattern:_18; parm=8; double logistic - smooth transition #Pattern:_19; parm=6; simple 4-parm double logistic with starting age #Pattern:_20; parm=6; double_normal,using joiners #Pattern:_26; parm=3; exponential-logistic in age #Pattern:_27; parm=3+special; cubic spline in age; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (mean over bin range) #Age patterns entered with value >100 create Min_selage from first digit and pattern from remainder #_Pattern Discard Male Special 12 0 0 0 # 1 CM_E @@ -354,8 +356,12 @@ -1 2 0.15 0.15 -1 0 -4 # DiscMort_L_level_old_REC(3)_BLK3repl_2008 # info on dev vectors created for selex parms are reported with other devs after tag parameter section # -0 # use 2D_AR1 selectivity(0/1) +0 # use 2D_AR1 selectivity? (0/1) #_no 2D_AR1 selex offset used +#_specs: fleet, ymin, ymax, amin, amax, sigma_amax, use_rho, len1/age2, devphase, before_range, after_range +#_sigma_amax>amin means create sigma parm for each bin from min to sigma_amax; sigma_amax<0 means just one sigma parm is read and used for all bins +#_needed parameters follow each fleet's specifications +# -9999 0 0 0 0 0 0 0 0 0 0 # terminator # # Tag loss and Tag reporting parameters go next 0 # TG_custom: 0=no read and autogen if tag data exist; 1=read diff --git a/models/vermillion_snapper/vermilion.dat b/models/vermillion_snapper/vermilion.dat index 0726ff8..4c51d57 100644 --- a/models/vermillion_snapper/vermilion.dat +++ b/models/vermillion_snapper/vermilion.dat @@ -1,23 +1,23 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov #_User_info_available_at:https://vlab.noaa.gov/group/stock-synthesis #_Source_code_at:_https://github.com/nmfs-stock-synthesis/stock-synthesis -#_Start_time: Thu Jul 6 09:44:27 2023 +#_Start_time: Tue Oct 31 17:17:57 2023 #_echo_input_data #C data file created using the SS_writedat function in the R package r4ss #C should work with SS version: #C file write time: 2020-01-23 16:14:32 -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 1950 #_StartYr 2017 #_EndYr 1 #_Nseas 12 #_months/season 2 #_Nsubseasons (even number, minimum is 2) 1 #_spawn_month -1 #_Ngenders: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) +1 #_Nsexes: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) 14 #_Nages=accumulator age, first age is always age 0 1 #_Nareas 9 #_Nfleets (including surveys) @@ -747,7 +747,7 @@ 1 # use length composition data (0/1/2) where 2 invokes new comp_control format #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie @@ -802,7 +802,7 @@ 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie diff --git a/models/vermillion_snapper/warning.sso b/models/vermillion_snapper/warning.sso index 85c25e4..b98b93b 100644 --- a/models/vermillion_snapper/warning.sso +++ b/models/vermillion_snapper/warning.sso @@ -1,8 +1,12 @@ -Warning 1 : bias adjustment ramp extends into forecast; biasadj set to 0.0 internally for forecast years -Warning 2 : Mean recruitment for forecast is incompatible with pos. phase for forecast rec_devs; set phase to neg. unless using late rec_devs -Warning 3 : fleet: 9 lencomp has obs with partition==2; will treat as partition=0 because retention not defined; N= 9 -Warning 4 Adjustment: setting positive forecast relF for bycatch fleet: 4 +Warning 1 Adjustment: Option 3 for mean forecast recruitment is deprecated. Changing to option 4. User can do recrdist with new fcast year controls +Warning 2 : At least one block pattern ends in endyr. Check the output parameter value time series to see if the values in forecast years are as intended. +Warning 3 : bias adjustment ramp extends into forecast; biasadj set to 0.0 internally for forecast years +Note 1 Information: Forecast devs will be applied to mean base recruitment over range of historical years in forecast.ss +Warning 4 : fleet: 9 lencomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 9 Warning 5 Adjustment: setting positive forecast relF for bycatch fleet: 4 Warning 6 Adjustment: setting positive forecast relF for bycatch fleet: 4 -Warning 7 Adjustment: setting positive forecast relF for bycatch fleet: 4 - 7 warnings +Warning 7 : Final gradient: 0.000210452 is larger than final_conv: 0.0001 +Warning 8 Adjustment: setting positive forecast relF for bycatch fleet: 4 +Note 2 Information: A revised protocol for the Fcast_yr specification is available and recommended. +Warning 9 Adjustment: setting positive forecast relF for bycatch fleet: 4 + 9 warnings and 2 notes diff --git a/models/vermillion_snapper_F4/forecast.ss b/models/vermillion_snapper_F4/forecast.ss index 01c1e26..6e3926d 100644 --- a/models/vermillion_snapper_F4/forecast.ss +++ b/models/vermillion_snapper_F4/forecast.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 # for all year entries except rebuilder; enter either: actual year, -999 for styr, 0 for endyr, neg number for rel. endyr 1 # Benchmarks: 0=skip; 1=calc F_spr,F_btgt,F_msy; 2=calc F_spr,F0.1,F_msy; 3=add F_Blimit; 2 # Do_MSY: 1= set to F(SPR); 2=calc F(MSY); 3=set to F(Btgt) or F0.1; 4=set to F(endyr); 5=calc F(MEY) with MSY_unit options @@ -15,27 +15,47 @@ # where none and simple require no input after this line; simple sets forecast F same as end year F 10 # N forecast years 1 # Fmult (only used for Do_Forecast==5) such that apical_F(f)=Fmult*relF(f) -#_Fcast_years: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) +#_Fcast_years for averaging: beg_selex, end_selex, beg_relF, end_relF, beg_mean recruits, end_recruits (enter actual year, or values of 0 or -integer to be rel. endyr) 0 0 -3 0 2005 2014 # 2017 2017 2014 2017 2005 2014 -0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from annual time-vary parms) +0 # Forecast selectivity (0=fcast selex is mean from year range; 1=fcast selectivity from time-vary parms). NOTE: logic reverses in new format +# A revised protocol for the Fcast_yr specification is available and recommended. Template is below. +# +#-12345 # code to invoke new format for expanded fcast year controls +# biology and selectivity vectors are updated annually in the forecast according to timevary parameters, so check end year of blocks and dev vectors +# input in this section directs creation of means over historical years to override any time_vary changes +# Factors implemented so far: 1=M, 4=recr_dist, 5=migration, 10=selectivity, 11=rel_F, 12=recruitment +# rel_F and Recruitment also have additional controls later in forecast.ss +# input as list: Factor, method (0, 1), st_yr, end_yr +# Terminate with -9999 for Factor +# st_yr and end_yr input can be actual year; <=0 sets rel. to timeseries endyr; Except -999 for st_yr sets to first year if time series +# Method = 0 (or omitted) continue using time_vary parms; 1 use mean of derived factor over specified year range +# Factor method st_yr end_yr +# 10 1 0 0 # selectivity; use: 10 1 0 0 +# 11 1 -3 0 # rel_F; use: 11 1 -3 0 +# 12 1 2005 2014 # recruitment; use: 12 1 2005 2014 +#-9999 0 0 0 +# 2 # Control rule method (0: none; 1: ramp does catch=f(SSB), buffer on F; 2: ramp does F=f(SSB), buffer on F; 3: ramp does catch=f(SSB), buffer on catch; 4: ramp does F=f(SSB), buffer on catch) # values for top, bottom and buffer exist, but not used when Policy=0 0.01 # Control rule inflection for constant F (as frac of Bzero, e.g. 0.40); must be > control rule cutoff, or set to -1 to use Bmsy/SSB_unf 0.001 # Control rule cutoff for no F (as frac of Bzero, e.g. 0.10) 1 # Buffer: enter Control rule target as fraction of Flimit (e.g. 0.75), negative value invokes list of [year, scalar] with filling from year to YrMax +# 3 #_N forecast loops (1=OFL only; 2=ABC; 3=get F from forecast ABC catch with allocations applied) -3 #_First forecast loop with stochastic recruitment -3 #_Forecast recruitment: 0= spawn_recr; 1=value*spawn_recr_fxn; 2=value*VirginRecr; 3=recent mean from yr range above (need to set phase to -1 in control to get constant recruitment in MCMC) -100 # not used -0 #_Forecast loop control #5 (reserved for future bells&whistles) -2120 #FirstYear for caps and allocations (should be after years with fixed inputs) +3 # First forecast loop with stochastic recruitment +4 # Forecast base recruitment: 0= spawn_recr; 1=mult*spawn_recr_fxn; 2=mult*VirginRecr; 3=deprecated; 4=mult*mean_over_yr_range +# for option 4, set phase for fore_recr_devs to -1 in control to get constant mean in MCMC, else devs will be applied +1 # multiplier on base recruitment +0 # not used +# +2120 # FirstYear for caps and allocations (should be after years with fixed inputs) 0 # stddev of log(realized catch/target catch) in forecast (set value>0.0 to cause active impl_error) 0 # Do West Coast gfish rebuilder output: 0=no; 1=yes 2019 # Rebuilder: first year catch could have been set to zero (Ydecl)(-1 to set to 1999) 2014 # Rebuilder: year for current age structure (Yinit) (-1 to set to endyear+1) -1 # fleet relative F: 1=use first-last alloc year; 2=read seas, fleet, alloc list below -# Note that fleet allocation is used directly as average F if Do_Forecast=4 +1 # fleet relative F: 1=use mean over year range; 2=read seas, fleet, alloc list below +# Note that fleet allocation values is used directly as F if Do_Forecast=4 2 # basis for fcast catch tuning and for fcast catch caps and allocation (2=deadbio; 3=retainbio; 5=deadnum; 6=retainnum); NOTE: same units for all fleets # Conditional input if relative F choice = 2 # enter list of: season, fleet, relF; if used, terminate with season=-9999 diff --git a/models/vermillion_snapper_F4/ss.par b/models/vermillion_snapper_F4/ss.par index 380aa7b..39d0529 100644 --- a/models/vermillion_snapper_F4/ss.par +++ b/models/vermillion_snapper_F4/ss.par @@ -1,4 +1,4 @@ -# Number of parameters = 325 Objective function value = 359.687327137237 Maximum gradient component = 0.000364241548493663 +# Number of parameters = 325 Objective function value = 359.687327137237 Maximum gradient component = 0.000287315157651609 # dummy_parm: 1.00000000000 # MGparm[1]: @@ -28,9 +28,9 @@ # MGparm[13]: 0.500000000000 # SR_parm[1]: -10.2108820354 +10.2108820370 # SR_parm[2]: -0.729779305249 +0.729779302267 # SR_parm[3]: 0.300000000000 # SR_parm[4]: @@ -38,571 +38,571 @@ # SR_parm[5]: 0.00000000000 # recdev1: - -0.499170870640 -0.252459817953 -0.243284010250 -0.173488416139 -0.274908476064 0.272083568191 0.182309570924 0.154794801327 0.113740760814 0.108373443414 -0.159756059859 -0.0260478078515 0.198589210582 -0.241049945527 -0.319784698851 -0.487077652694 -0.184548382174 0.139295957260 0.247648121301 0.108629445467 0.260079385187 0.837105681004 0.393242289325 -0.154316096795 + -0.499170872011 -0.252459817222 -0.243284009027 -0.173488415121 -0.274908474054 0.272083571619 0.182309572402 0.154794801937 0.113740760370 0.108373442763 -0.159756060461 -0.0260478072566 0.198589211969 -0.241049945414 -0.319784699400 -0.487077652648 -0.184548382620 0.139295956397 0.247648120996 0.108629444879 0.260079384121 0.837105681268 0.393242285343 -0.154316098829 # Fcast_recruitments: 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 # F_rate[1]: -3.37475437663e-05 +3.37475436250e-05 # F_rate[2]: -6.74467538908e-05 +6.74467538510e-05 # F_rate[3]: -0.000102276363935 +0.000102276363803 # F_rate[4]: -0.000137744935143 +0.000137744934984 # F_rate[5]: -0.000174587940944 +0.000174587940727 # F_rate[6]: -0.000212664650594 +0.000212664650323 # F_rate[7]: -0.000251782591362 +0.000251782590978 # F_rate[8]: -0.000292950935731 +0.000292950935263 # F_rate[9]: -0.000336355491447 +0.000336355490904 # F_rate[10]: -0.000382098830473 +0.000382098829943 # F_rate[11]: -0.000431082870667 +0.000431082870095 # F_rate[12]: -0.000481527991237 +0.000481527990419 # F_rate[13]: -0.000531716735067 +0.000531716734251 # F_rate[14]: -0.000579522955941 +0.000579522954988 # F_rate[15]: -0.000641223931669 +0.000641223930485 # F_rate[16]: -0.000644776173836 +0.000644776172688 # F_rate[17]: -0.000340631585915 +0.000340631585406 # F_rate[18]: -0.000699134357366 +0.000699134356862 # F_rate[19]: -0.00140952411448 +0.00140952411418 # F_rate[20]: -0.00182360359692 +0.00182360359645 # F_rate[21]: -0.00173029595115 +0.00173029595035 # F_rate[22]: -0.00192143795046 +0.00192143794992 # F_rate[23]: -0.00172019184881 +0.00172019184866 # F_rate[24]: -0.00293506853957 +0.00293506853923 # F_rate[25]: -0.00281599366141 +0.00281599366098 # F_rate[26]: -0.00619971041939 +0.00619971041972 # F_rate[27]: -0.00551135544459 +0.00551135544425 # F_rate[28]: -0.00756800757164 +0.00756800757165 # F_rate[29]: -0.00660966340299 +0.00660966340345 # F_rate[30]: -0.00512448699353 +0.00512448699368 # F_rate[31]: -0.00380840552448 +0.00380840552676 # F_rate[32]: -0.00561256011972 +0.00561256012465 # F_rate[33]: -0.00591157952886 +0.00591157953335 # F_rate[34]: -0.00947612450457 +0.00947612451660 # F_rate[35]: -0.0136312912732 +0.0136312912950 # F_rate[36]: -0.0178835100041 +0.0178835100396 # F_rate[37]: -0.0192575512661 +0.0192575513109 # F_rate[38]: -0.0157872398034 +0.0157872398392 # F_rate[39]: -0.0153961277192 +0.0153961277537 # F_rate[40]: -0.0156593076306 +0.0156593076661 # F_rate[41]: -0.0394760723637 +0.0394760724663 # F_rate[42]: -0.0335011986590 +0.0335011987521 # F_rate[43]: -0.0451572297626 +0.0451572298978 # F_rate[44]: -0.0667085730120 +0.0667085732216 # F_rate[45]: -0.0688994143841 +0.0688994146427 # F_rate[46]: -0.0722380880543 +0.0722380882884 # F_rate[47]: -0.0613844107977 +0.0613844110052 # F_rate[48]: -0.0609124329346 +0.0609124331776 # F_rate[49]: -0.0510698933773 +0.0510698935555 # F_rate[50]: -0.0625273102563 +0.0625273105086 # F_rate[51]: -0.0496801822665 +0.0496801824497 # F_rate[52]: -0.0557823075646 +0.0557823077462 # F_rate[53]: -0.0648572690603 +0.0648572692577 # F_rate[54]: -0.0728401113776 +0.0728401116064 # F_rate[55]: -0.0576947628967 +0.0576947630867 # F_rate[56]: -0.0852313438217 +0.0852313440766 # F_rate[57]: -0.0910478488791 +0.0910478491586 # F_rate[58]: -0.0919464030210 +0.0919464033306 # F_rate[59]: -0.102780809849 +0.102780810094 # F_rate[60]: -0.152236900988 +0.152236901425 # F_rate[61]: -0.0732149189976 +0.0732149192052 # F_rate[62]: -0.141999574372 +0.141999574828 # F_rate[63]: -0.102494741949 +0.102494742308 # F_rate[64]: -0.0588204713034 +0.0588204715355 # F_rate[65]: -0.0657596609635 +0.0657596612775 # F_rate[66]: -0.0352963662375 +0.0352963664146 # F_rate[67]: -0.0381923870850 +0.0381923872766 # F_rate[68]: -0.0381869629891 +0.0381869631929 # F_rate[69]: -2.99222539707e-05 +2.99222539636e-05 # F_rate[70]: -5.99393048288e-05 +5.99393049721e-05 # F_rate[71]: -9.03008799064e-05 +9.03008800658e-05 # F_rate[72]: -0.000121407278062 +0.000121407278161 # F_rate[73]: -0.000153529004475 +0.000153529004498 # F_rate[74]: -0.000186752297357 +0.000186752297239 # F_rate[75]: -0.000221127522440 +0.000221127522327 # F_rate[76]: -0.000256858484241 +0.000256858484177 # F_rate[77]: -0.000294200940623 +0.000294200940425 # F_rate[78]: -0.000333597661192 +0.000333597660993 # F_rate[79]: -0.000375430850724 +0.000375430850526 # F_rate[80]: -0.000419736523950 +0.000419736523646 # F_rate[81]: -0.000465633811089 +0.000465633810719 # F_rate[82]: -0.000511235764251 +0.000511235763977 # F_rate[83]: -0.000542102979645 +0.000542102979153 # F_rate[84]: -0.000484045306458 +0.000484045306060 # F_rate[85]: -0.000157081899957 +0.000157081899844 # F_rate[86]: -0.000376456982140 +0.000376456981923 # F_rate[87]: -0.00121813817230 +0.00121813817259 # F_rate[88]: -0.000666328022382 +0.000666328022807 # F_rate[89]: -0.00111019980826 +0.00111019980902 # F_rate[90]: -0.00122231154415 +0.00122231154479 # F_rate[91]: -0.00120266088318 +0.00120266088399 # F_rate[92]: -0.00144267414257 +0.00144267414378 # F_rate[93]: -0.00177821443731 +0.00177821443900 # F_rate[94]: -0.00294880773117 +0.00294880773246 # F_rate[95]: -0.00165319593900 +0.00165319593985 # F_rate[96]: -0.00540741241308 +0.00540741241769 # F_rate[97]: -0.00459511189035 +0.00459511189376 # F_rate[98]: -0.00630137642098 +0.00630137642565 # F_rate[99]: -0.00430919325864 +0.00430919326345 # F_rate[100]: -0.00341012092124 +0.00341012092523 # F_rate[101]: -0.00440949311962 +0.00440949312745 # F_rate[102]: -0.00497414869990 +0.00497414870867 # F_rate[103]: -0.0268228270272 +0.0268228270788 # F_rate[104]: -0.0242878846623 +0.0242878847203 # F_rate[105]: -0.0325368090539 +0.0325368091395 # F_rate[106]: -0.0369959116666 +0.0369959117815 # F_rate[107]: -0.0391729367299 +0.0391729368705 # F_rate[108]: -0.0420968015260 +0.0420968016713 # F_rate[109]: -0.0429874168278 +0.0429874169849 # F_rate[110]: -0.0379924103737 +0.0379924105196 # F_rate[111]: -0.0525910161486 +0.0525910163786 # F_rate[112]: -0.0551026908416 +0.0551026910812 # F_rate[113]: -0.0604510947270 +0.0604510950434 # F_rate[114]: -0.0412180189742 +0.0412180192060 # F_rate[115]: -0.0442977566765 +0.0442977569070 # F_rate[116]: -0.0797197871247 +0.0797197875764 # F_rate[117]: -0.0732011809497 +0.0732011813641 # F_rate[118]: -0.0981861286680 +0.0981861292280 # F_rate[119]: -0.0727526137304 +0.0727526141384 # F_rate[120]: -0.0900966436733 +0.0900966441847 # F_rate[121]: -0.101084000945 +0.101084001518 # F_rate[122]: -0.123284235035 +0.123284235713 # F_rate[123]: -0.114968316549 +0.114968317183 # F_rate[124]: -0.105299006050 +0.105299006545 # F_rate[125]: -0.0702681900799 +0.0702681904597 # F_rate[126]: -0.125993040256 +0.125993040900 # F_rate[127]: -0.0855903210159 +0.0855903214787 # F_rate[128]: -0.0795671646615 +0.0795671650615 # F_rate[129]: -0.0614049743910 +0.0614049746874 # F_rate[130]: -0.0572299840006 +0.0572299843102 # F_rate[131]: -0.0725609840390 +0.0725609843947 # F_rate[132]: -0.0445692266552 +0.0445692269240 # F_rate[133]: -0.0585830838753 +0.0585830842516 # F_rate[134]: -0.0571557308068 +0.0571557312054 # F_rate[135]: -0.0558789460160 +0.0558789464726 # F_rate[136]: -0.0433952931102 +0.0433952934348 # F_rate[137]: -0.000146869345255 +0.000146869345105 # F_rate[138]: -0.000398634028309 +0.000398634028079 # F_rate[139]: -0.000660953852817 +0.000660953852387 # F_rate[140]: -0.000934379629216 +0.000934379628419 # F_rate[141]: -0.00121774039924 +0.00121774039846 # F_rate[142]: -0.00151264922909 +0.00151264922863 # F_rate[143]: -0.00181962959914 +0.00181962959789 # F_rate[144]: -0.00214228210746 +0.00214228210412 # F_rate[145]: -0.00248758238841 +0.00248758238627 # F_rate[146]: -0.00286046627512 +0.00286046627112 # F_rate[147]: -0.00325806718696 +0.00325806718472 # F_rate[148]: -0.00365677013992 +0.00365677013279 # F_rate[149]: -0.00401397303493 +0.00401397302580 # F_rate[150]: -0.00433061797746 +0.00433061796288 # F_rate[151]: -0.00465633556820 +0.00465633555245 # F_rate[152]: -0.00500651163878 +0.00500651162924 # F_rate[153]: -0.00538200152104 +0.00538200151955 # F_rate[154]: -0.00577465934703 +0.00577465935529 # F_rate[155]: -0.00618858453024 +0.00618858453205 # F_rate[156]: -0.00662742560951 +0.00662742561472 # F_rate[157]: -0.00709656859816 +0.00709656860136 # F_rate[158]: -0.00756465298265 +0.00756465298632 # F_rate[159]: -0.00798697182009 +0.00798697183347 # F_rate[160]: -0.00838221256658 +0.00838221256882 # F_rate[161]: -0.00877352479193 +0.00877352479529 # F_rate[162]: -0.00918035093399 +0.00918035094265 # F_rate[163]: -0.00959677722148 +0.00959677721710 # F_rate[164]: -0.0100504160460 +0.0100504160595 # F_rate[165]: -0.0105720334450 +0.0105720334473 # F_rate[166]: -0.0111451478783 +0.0111451478887 # F_rate[167]: -0.0117416909876 +0.0117416909853 # F_rate[168]: -0.0123382723957 +0.0123382724137 # F_rate[169]: -0.0276481753609 +0.0276481754176 # F_rate[170]: -0.0106643684954 +0.0106643685336 # F_rate[171]: -0.0165882246981 +0.0165882247292 # F_rate[172]: -0.0325787375531 +0.0325787376523 # F_rate[173]: -0.0468192079958 +0.0468192082096 # F_rate[174]: -0.0604065600908 +0.0604065604249 # F_rate[175]: -0.0919002314312 +0.0919002319351 # F_rate[176]: -0.0509585120695 +0.0509585122058 # F_rate[177]: -0.0698209834702 +0.0698209837411 # F_rate[178]: -0.0913920955871 +0.0913920958807 # F_rate[179]: -0.116274970221 +0.116274970847 # F_rate[180]: -0.0903120255064 +0.0903120258471 # F_rate[181]: -0.0796309373830 +0.0796309377020 # F_rate[182]: -0.117546138662 +0.117546138596 # F_rate[183]: -0.0504766909578 +0.0504766911093 # F_rate[184]: -0.0910966047205 +0.0910966049124 # F_rate[185]: -0.0486660529111 +0.0486660530892 # F_rate[186]: -0.0978382488279 +0.0978382491869 # F_rate[187]: -0.0578224528165 +0.0578224528875 # F_rate[188]: -0.149132165579 +0.149132165722 # F_rate[189]: -0.118609159797 +0.118609160023 # F_rate[190]: -0.108909689091 +0.108909689582 # F_rate[191]: -0.109214407668 +0.109214407980 # F_rate[192]: -0.134380775091 +0.134380774929 # F_rate[193]: -0.125936334022 +0.125936334322 # F_rate[194]: -0.122280923565 +0.122280923912 # F_rate[195]: -0.0582519712177 +0.0582519714315 # F_rate[196]: -0.0832545590900 +0.0832545591017 # F_rate[197]: -0.0611133062600 +0.0611133064010 # F_rate[198]: -0.147031408586 +0.147031408661 # F_rate[199]: -0.114565126493 +0.114565127088 # F_rate[200]: -0.198348770443 +0.198348770955 # F_rate[201]: -0.175679592127 +0.175679593374 # F_rate[202]: -0.136378024196 +0.136378024530 # F_rate[203]: -0.123185620200 +0.123185620592 # F_rate[204]: -0.140689299803 +0.140689301071 # F_rate[205]: -0.0498024709459 +0.0498024711850 # F_rate[206]: -0.0679096684538 +0.0679096685699 # F_rate[207]: -0.0802092205629 +0.0802092209051 # F_rate[208]: -0.0843452094376 +0.0843452098562 # F_rate[209]: -0.109352386879 +0.109352387075 # F_rate[210]: -0.113995330928 +0.113995330959 # F_rate[211]: -0.145763216702 +0.145763216733 # F_rate[212]: -0.166918938274 +0.166918938616 # F_rate[213]: -0.204478864029 +0.204478863617 # F_rate[214]: -0.220489905243 +0.220489905017 # F_rate[215]: -0.220479396794 +0.220479397229 # F_rate[216]: -0.166982212579 +0.166982212010 # F_rate[217]: -0.160827824385 +0.160827824010 # F_rate[218]: -0.183444930276 +0.183444929906 # F_rate[219]: -0.193873721307 +0.193873722201 # F_rate[220]: -0.215364390922 +0.215364395026 # F_rate[221]: -0.212074915710 +0.212074916942 # F_rate[222]: -0.231295082852 +0.231295085843 # F_rate[223]: -0.235265634802 +0.235265633856 # F_rate[224]: -0.267890784834 +0.267890784392 # F_rate[225]: -0.252672663196 +0.252672665905 # F_rate[226]: -0.241416060790 +0.241416062400 # F_rate[227]: -0.236463463630 +0.236463462182 # F_rate[228]: -0.240708252910 +0.240708253730 # F_rate[229]: -0.240162763322 +0.240162764707 # F_rate[230]: -0.242292706224 +0.242292706860 # F_rate[231]: -0.252188194449 +0.252188194996 # F_rate[232]: -0.277413191778 +0.277413193155 # F_rate[233]: -0.294155834093 +0.294155836169 # F_rate[234]: -0.308793633223 +0.308793635211 # F_rate[235]: -0.316240707242 +0.316240709087 # F_rate[236]: -0.287171304226 +0.287171306103 # F_rate[237]: -0.273556684021 +0.273556686402 # F_rate[238]: -0.276559155827 +0.276559158894 # F_rate[239]: -0.313498510162 +0.313498513027 # F_rate[240]: -0.303118271253 +0.303118272428 # F_rate[241]: -0.330869213632 +0.330869213199 # F_rate[242]: -0.274674282050 +0.274674282628 # F_rate[243]: -0.251512398580 +0.251512400137 # F_rate[244]: -0.276153520765 +0.276153521898 # F_rate[245]: -0.242705767885 +0.242705768613 # F_rate[246]: -0.253442669854 +0.253442670949 # F_rate[247]: -0.319616988099 +0.319616990152 # F_rate[248]: -0.362349449748 +0.362349449146 # F_rate[249]: -0.554456228145 +0.554456231008 # F_rate[250]: -0.427143364339 +0.427143363477 # F_rate[251]: -0.402655589826 +0.402655590348 # F_rate[252]: -0.414598638075 +0.414598639731 # F_rate[253]: -0.503301882979 +0.503301882242 # F_rate[254]: -0.328666763319 +0.328666764197 # F_rate[255]: -0.263139495910 +0.263139497422 # F_rate[256]: -0.291187708572 +0.291187709044 # F_rate[257]: -0.360471935059 +0.360471935406 # F_rate[258]: -0.308644883887 +0.308644883251 # F_rate[259]: -0.284530010351 +0.284530009508 # F_rate[260]: -0.237245620757 +0.237245619576 # F_rate[261]: -0.154608974564 +0.154608974577 # F_rate[262]: -0.107010377694 +0.107010378417 # F_rate[263]: -0.0763106218784 +0.0763106219169 # F_rate[264]: -0.122599444483 +0.122599444612 # F_rate[265]: -0.0915460016775 +0.0915460020759 # F_rate[266]: -0.109579538348 +0.109579538333 # F_rate[267]: -0.0976432968408 +0.0976432972072 # F_rate[268]: -0.108938536609 +0.108938537114 # F_rate[269]: -0.0869570604816 +0.0869570604643 # F_rate[270]: -0.0714354858891 +0.0714354860914 # F_rate[271]: -0.0734889842433 +0.0734889845778 # F_rate[272]: -0.0796822438144 +0.0796822438240 # Q_parm[1]: --8.91223608460 +-8.91223608095 # Q_parm[2]: --8.55918430672 +-8.55918430134 # Q_parm[3]: --9.50310186460 +-9.50310186126 # Q_parm[4]: -1.38481156216 +1.38481155818 # Q_parm[5]: --9.88309402459 +-9.88309402137 # Q_parm[6]: --9.80357021768 +-9.80357021458 # Q_parm[7]: --26.2165229339 +-26.2165229310 # Q_parm[8]: --10.4735752258 +-10.4735752248 # Q_parm[9]: --10.5629444138 +-10.5629444127 # selparm[1]: 10.1600000000 # selparm[2]: @@ -654,47 +654,47 @@ # selparm[25]: 19.2273000000 # selparm[26]: --1.57475305827 +-1.57475298941 # selparm[27]: -1.10006241844 +1.10006241868 # selparm[28]: 1.30636000000 # selparm[29]: -1.47843000000 # selparm[30]: -0.597499289823 +0.597499260367 # selparm[31]: 14.7632000000 # selparm[32]: --4.08901089992 +-4.08901087001 # selparm[33]: -1.26272752714 +1.26272752904 # selparm[34]: 3.14557000000 # selparm[35]: -1.21335000000 # selparm[36]: --5.30605266784 +-5.30605270350 # selparm[37]: -2.11995419819 +2.11995419888 # selparm[38]: -0.916153962581 +0.916153963057 # selparm[39]: -3.68074676918 +3.68074677491 # selparm[40]: -2.09660904010 +2.09660904325 # selparm[41]: -3.33275797816 +3.33275797853 # selparm[42]: --9.16507610738 +-9.16507593240 # selparm[43]: -0.549862257362 +0.549862256649 # selparm[44]: -2.95272584983 +2.95272583439 # selparm[45]: --12.1034745020 +-12.1034716126 # selparm[46]: --1.82948432249 +-1.82948429387 # selparm[47]: 0.500000000000 # selparm[48]: diff --git a/models/vermillion_snapper_F4/ss_summary.sso b/models/vermillion_snapper_F4/ss_summary.sso index 2eb1975..5874204 100644 --- a/models/vermillion_snapper_F4/ss_summary.sso +++ b/models/vermillion_snapper_F4/ss_summary.sso @@ -1,8 +1,8 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 vermilion.dat #_DataFile vermilion.ctl #_Control -Run_Date: Thu Jul 6 09:44:36 2023 -Final_phase: 5 N_iterations: 2161 +Run_Date: Tue Oct 31 17:17:57 2023 +Final_phase: 5 N_iterations: 2157 #_LIKELIHOOD Label logL*Lambda TOTAL_LogL 359.687 @@ -12,11 +12,11 @@ Discard -1.70754 Length_comp 88.4498 Age_comp 260.69 Recruitment -12.9067 -InitEQ_regime 0 -Sum_recdevs -4.16334e-16 +InitEQ_regime 1.18001e-30 +Sum_recdevs -9.99201e-16 Forecast_Recruitment 0 Parm_priors 0 -Parm_softbounds 0.00753787 +Parm_softbounds 0.00753786 Parm_devs 0 F_Ballpark 0 Crash_Pen 0 @@ -328,7 +328,7 @@ F_fleet_4_YR_1993_s_1 0.362349 0.0723 Act 0.120783 F_fleet_4_YR_1994_s_1 0.554456 0.10197 Act 0.184819 F_fleet_4_YR_1995_s_1 0.427143 0.099401 Act 0.142381 F_fleet_4_YR_1996_s_1 0.402656 0.0844693 Act 0.134218 -F_fleet_4_YR_1997_s_1 0.414599 0.0863987 Act 0.138199 +F_fleet_4_YR_1997_s_1 0.414599 0.0863987 Act 0.1382 F_fleet_4_YR_1998_s_1 0.503302 0.10249 Act 0.167767 F_fleet_4_YR_1999_s_1 0.328667 0.0706641 Act 0.109556 F_fleet_4_YR_2000_s_1 0.263139 0.0542107 Act 0.0877131 diff --git a/models/vermillion_snapper_F4/starter.ss b/models/vermillion_snapper_F4/starter.ss index 003a13b..347c768 100644 --- a/models/vermillion_snapper_F4/starter.ss +++ b/models/vermillion_snapper_F4/starter.ss @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -9,9 +9,9 @@ vermilion.dat vermilion.ctl 0 # 0=use init values in control file; 1=use ss.par -1 # run display detail (0,1,2) +1 # run display detail (0 = minimal; 1=one line per iter; 2=each logL) 1 # detailed output (0=minimal for data-limited, 1=high (w/ wtatage.ss_new), 2=brief, 3=custom) -# custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end +#COND: custom report options: -100 to start with minimal; -101 to start with all; -number to remove, +number to add, -999 to end 0 # write 1st iteration details to echoinput.sso file (0,1) 1 # write parm values to ParmTrace.sso (0=no,1=good,active; 2=good,all; 3=every_iter,all_parms; 4=every,active) 0 # write to cumreport.sso (0=no,1=like×eries; 2=add survey fits) @@ -27,7 +27,7 @@ vermilion.ctl -1 # min yr for sdreport outputs (-1 for styr); #_1948 -2 # max yr for sdreport outputs (-1 for endyr+1; -2 for endyr+Nforecastyrs); #_2027 0 # N individual STD years -#vector of year values +#COND: vector of year values if N>0 0.0001 # final convergence criteria (e.g. 1.0e-04) 0 # retrospective year relative to end year (e.g. -4) @@ -35,10 +35,10 @@ vermilion.ctl 1 # Depletion basis: denom is: 0=skip; 1=X*SPBvirgin; 2=X*SPBmsy; 3=X*SPB_styr; 4=X*SPB_endyr; 5=X*dyn_Bzero; values>=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) 1 # Fraction (X) for Depletion denominator (e.g. 0.4) 4 # SPR_report_basis: 0=skip; 1=(1-SPR)/(1-SPR_tgt); 2=(1-SPR)/(1-SPR_MSY); 3=(1-SPR)/(1-SPR_Btarget); 4=rawSPR -2 # F_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=true F for range of ages; 5=unweighted avg. F for range of ages -#COND 10 15 #_min and max age over which average F will be calculated with F_reporting=4 or 5 -0 # F_std_basis: 0=raw_annual_F; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual_F; values >=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) +2 # F_std_reporting_units: 0=skip; 1=exploitation(Bio); 2=exploitation(Num); 3=sum(Apical_F's); 4=mean F for range of ages (numbers weighted); 5=unweighted mean F for range of ages +#COND 10 15 #_min and max age over which mean F will be calculated with F_reporting=4 or 5 +0 # F_std_scaling: 0=no scaling; 1=F/Fspr; 2=F/Fmsy; 3=F/Fbtgt; where F means annual F_std, Fmsy means F_std@msy; values >=11 invoke N multiyr (up to 9!) using 10's digit; >100 invokes log(ratio) 0 # MCMC output detail: integer part (0=default; 1=adds obj func components; 2= +write_report_for_each_mceval); and decimal part (added to SR_LN(R0) on first call to mcmc) -0 # ALK tolerance ***disabled in code (example 0.0001) --1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1688651382 +0 # ALK tolerance ***disabled in code +-1 # random number seed for bootstrap data (-1 to use long(time) as seed): # 1698772767 3.30 # check value for end of file and for version control diff --git a/models/vermillion_snapper_F4/vermilion.ctl b/models/vermillion_snapper_F4/vermilion.ctl index 581959c..fb367c9 100644 --- a/models/vermillion_snapper_F4/vermilion.ctl +++ b/models/vermillion_snapper_F4/vermilion.ctl @@ -1,4 +1,4 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov @@ -10,6 +10,7 @@ 1 #_N_Growth_Patterns (Growth Patterns, Morphs, Bio Patterns, GP are terms used interchangeably in SS3) 1 #_N_platoons_Within_GrowthPattern #_Cond 1 #_Platoon_within/between_stdev_ratio (no read if N_platoons=1) +#_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # 4 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) @@ -53,8 +54,8 @@ 0.234 0.342 0.287 0.257 0.239 0.228 0.22 0.215 0.212 0.209 0.207 0.206 0.205 0.204 0.204 # 1 # GrowthModel: 1=vonBert with L1&L2; 2=Richards with L1&L2; 3=age_specific_K_incr; 4=age_specific_K_decr; 5=age_specific_K_each; 6=NA; 7=NA; 8=growth cessation -0.5 #_Age(post-settlement)_for_L1;linear growth below this -999 #_Growth_Age_for_L2 (999 to use as Linf) +0.5 #_Age(post-settlement) for L1 (aka Amin); first growth parameter is size at this age; linear growth below this +999 #_Age(post-settlement) for L2 (aka Amax); 999 to treat as Linf -999 #_exponential decay for growth above maxage (value should approx initial Z; -999 replicates 3.24; -998 to not allow growth above maxage) 0 #_placeholder for future growth feature # @@ -90,6 +91,7 @@ # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement +# Platoon StDev Ratio # Age Error from parameters # catch multiplier # fraction female, by GP @@ -114,7 +116,7 @@ 0 0.5 0 0 0 0 -2 0 0 0 0 0 0 0 # SR_autocorr #_no timevary SR parameters 1 #do_recdev: 0=none; 1=devvector (R=F(SSB)+dev); 2=deviations (R=F(SSB)+dev); 3=deviations (R=R0*dev; dev2=R-f(SSB)); 4=like 3 with sum(dev2) adding penalty -1994 # first year of main recr_devs; early devs can preceed this era +1994 # first year of main recr_devs; early devs can precede this era 2017 # last year of main recr_devs; forecast devs start in following year 3 #_recdev phase 1 # (0/1) to read 13 advanced options @@ -207,7 +209,7 @@ #Pattern:_11; parm=2; selex=1.0 for specified min-max population length bin range #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_6; parm=2+special; non-parm len selex -#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (average over bin range) +#Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (mean over bin range) #Pattern:_8; parm=8; double_logistic with smooth transitions and constant above Linf option #Pattern:_9; parm=6; simple 4-parm double logistic with starting length; parm 5 is first length; parm 6=1 does desc as offset #Pattern:_21; parm=2+special; non-parm len selex, read as pairs of size, then selex @@ -217,7 +219,7 @@ #Pattern:_2; parm=6; double_normal with sel(minL) and sel(maxL), using joiners, back compatibile version of 24 with 3.30.18 and older #Pattern:_25; parm=3; exponential-logistic in length #Pattern:_27; parm=special+3; cubic spline in length; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=special+3+2; cubic spline; like 27, with 2 additional param for scaling (mean over bin range) #_discard_options:_0=none;_1=define_retention;_2=retention&mortality;_3=all_discarded_dead;_4=define_dome-shaped_retention #_Pattern Discard Male Special 0 2 0 0 # 1 CM_E @@ -240,13 +242,13 @@ #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_16; parm=2; Coleraine - Gaussian #Pattern:_17; parm=nages+1; empirical as random walk N parameters to read can be overridden by setting special to non-zero -#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (average over bin range) +#Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (mean over bin range) #Pattern:_18; parm=8; double logistic - smooth transition #Pattern:_19; parm=6; simple 4-parm double logistic with starting age #Pattern:_20; parm=6; double_normal,using joiners #Pattern:_26; parm=3; exponential-logistic in age #Pattern:_27; parm=3+special; cubic spline in age; parm1==1 resets knots; parm1==2 resets all -#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (average over bin range) +#Pattern:_42; parm=2+special+3; // cubic spline; with 2 additional param for scaling (mean over bin range) #Age patterns entered with value >100 create Min_selage from first digit and pattern from remainder #_Pattern Discard Male Special 12 0 0 0 # 1 CM_E @@ -358,8 +360,12 @@ -1 2 0.15 0.15 -1 0 -4 # DiscMort_L_level_old_REC(3)_BLK3repl_2008 # info on dev vectors created for selex parms are reported with other devs after tag parameter section # -0 # use 2D_AR1 selectivity(0/1) +0 # use 2D_AR1 selectivity? (0/1) #_no 2D_AR1 selex offset used +#_specs: fleet, ymin, ymax, amin, amax, sigma_amax, use_rho, len1/age2, devphase, before_range, after_range +#_sigma_amax>amin means create sigma parm for each bin from min to sigma_amax; sigma_amax<0 means just one sigma parm is read and used for all bins +#_needed parameters follow each fleet's specifications +# -9999 0 0 0 0 0 0 0 0 0 0 # terminator # # Tag loss and Tag reporting parameters go next 0 # TG_custom: 0=no read and autogen if tag data exist; 1=read diff --git a/models/vermillion_snapper_F4/vermilion.dat b/models/vermillion_snapper_F4/vermilion.dat index f7fd9f1..82f3a93 100644 --- a/models/vermillion_snapper_F4/vermilion.dat +++ b/models/vermillion_snapper_F4/vermilion.dat @@ -1,23 +1,23 @@ -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 #_Stock_Synthesis_is_a_work_of_the_U.S._Government_and_is_not_subject_to_copyright_protection_in_the_United_States. #_Foreign_copyrights_may_apply._See_copyright.txt_for_more_information. #_User_support_available_at:NMFS.Stock.Synthesis@noaa.gov #_User_info_available_at:https://vlab.noaa.gov/group/stock-synthesis #_Source_code_at:_https://github.com/nmfs-stock-synthesis/stock-synthesis -#_Start_time: Thu Jul 6 09:49:42 2023 +#_Start_time: Tue Oct 31 17:19:27 2023 #_echo_input_data #C data file created using the SS_writedat function in the R package r4ss #C should work with SS version: #C file write time: 2020-01-23 16:14:32 -#V3.30.21.00;_safe;_compile_date:_Feb 10 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 +#V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 1950 #_StartYr 2017 #_EndYr 1 #_Nseas 12 #_months/season 2 #_Nsubseasons (even number, minimum is 2) 1 #_spawn_month -1 #_Ngenders: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) +1 #_Nsexes: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) 14 #_Nages=accumulator age, first age is always age 0 1 #_Nareas 9 #_Nfleets (including surveys) @@ -747,7 +747,7 @@ 1 # use length composition data (0/1/2) where 2 invokes new comp_control format #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie @@ -802,7 +802,7 @@ 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins -#_combM+F: males and females treated as combined gender below this bin number +#_combM+F: males and females treated as combined sex below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet using Theta*n, 2=dirichlet using beta, 3=MV_Tweedie #_ParmSelect: consecutive index for dirichlet or MV_Tweedie diff --git a/models/vermillion_snapper_F4/warning.sso b/models/vermillion_snapper_F4/warning.sso index 61e9dbb..f221a32 100644 --- a/models/vermillion_snapper_F4/warning.sso +++ b/models/vermillion_snapper_F4/warning.sso @@ -1,10 +1,13 @@ -Warning 1 : bias adjustment ramp extends into forecast; biasadj set to 0.0 internally for forecast years -Warning 2 : Mean recruitment for forecast is incompatible with pos. phase for forecast rec_devs; set phase to neg. unless using late rec_devs -Warning 3 : fleet: 9 lencomp has obs with partition==2; will treat as partition=0 because retention not defined; N= 9 -Warning 4 : 1st iteration warning: catch logL > 50% total logL; check configuration; suggest start with larger R0 -Warning 5 Adjustment: setting positive forecast relF for bycatch fleet: 4 +Warning 1 Adjustment: Option 3 for mean forecast recruitment is deprecated. Changing to option 4. User can do recrdist with new fcast year controls +Warning 2 : At least one block pattern ends in endyr. Check the output parameter value time series to see if the values in forecast years are as intended. +Warning 3 : bias adjustment ramp extends into forecast; biasadj set to 0.0 internally for forecast years +Note 1 Information: Forecast devs will be applied to mean base recruitment over range of historical years in forecast.ss +Warning 4 : fleet: 9 lencomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 9 +Warning 5 : 1st iteration warning: catch logL > 50% total logL; check configuration; suggest start with larger R0 Warning 6 Adjustment: setting positive forecast relF for bycatch fleet: 4 -Warning 7 : Final gradient: 0.000364242 is larger than final_conv: 0.0001 -Warning 8 Adjustment: setting positive forecast relF for bycatch fleet: 4 +Warning 7 Adjustment: setting positive forecast relF for bycatch fleet: 4 +Warning 8 : Final gradient: 0.000287315 is larger than final_conv: 0.0001 Warning 9 Adjustment: setting positive forecast relF for bycatch fleet: 4 - 9 warnings +Note 2 Information: A revised protocol for the Fcast_yr specification is available and recommended. +Warning 10 Adjustment: setting positive forecast relF for bycatch fleet: 4 + 10 warnings and 2 notes From b7e61db65fe77e81bbdf2e009c1d2f3686a81fad Mon Sep 17 00:00:00 2001 From: e-gugliotti-NOAA Date: Wed, 1 Nov 2023 11:50:51 -0400 Subject: [PATCH 2/3] update models to have less warnings --- .github/workflows/update-ss3-models.yml | 2 +- models/Empirical_Wtatage_Age_Selex/control.ss | 5 +- models/Empirical_Wtatage_Age_Selex/data.ss | 2 +- models/Empirical_Wtatage_Age_Selex/ss.par | 56 +- .../ss_summary.sso | 851 ++++---- .../Empirical_Wtatage_Age_Selex/warning.sso | 6 +- models/Hake_2018/2018hake_control.SS | 7 +- models/Hake_2018/ss.par | 52 +- models/Hake_2018/ss_summary.sso | 63 +- models/Hake_2018/starter.ss | 2 +- models/Hake_2018/warning.sso | 7 +- .../hake_control.ss | 7 +- models/Hake_2019_semi-parametric_selex/ss.par | 46 +- .../ss_summary.sso | 97 +- .../starter.ss | 2 +- .../warning.sso | 7 +- models/KelpGreenling2015/BC_ctl.ss | 5 +- models/KelpGreenling2015/BC_dat.ss | 682 +++---- models/KelpGreenling2015/ss.par | 64 +- models/KelpGreenling2015/ss_summary.sso | 1799 ++++++++--------- models/KelpGreenling2015/warning.sso | 22 +- models/Sablefish2015/2015_control.ss | 5 +- models/Sablefish2015/2015_data.ss | 6 +- models/Sablefish2015/ss.par | 142 +- models/Sablefish2015/ss_summary.sso | 1283 ++++++------ models/Sablefish2015/warning.sso | 164 +- models/Simple/control.ss | 5 +- models/Simple/ss.par | 20 +- models/Simple/ss_summary.sso | 9 +- models/Simple/warning.sso | 5 +- models/Simple_NoCPUE/simple.ctl | 5 +- models/Simple_NoCPUE/simple.dat | 2 +- models/Simple_NoCPUE/ss.par | 34 +- models/Simple_NoCPUE/ss_summary.sso | 849 ++++---- models/Simple_NoCPUE/warning.sso | 6 +- models/Simple_with_Discard/control.ss | 5 +- models/Simple_with_Discard/ss.par | 44 +- models/Simple_with_Discard/ss_summary.sso | 15 +- models/Simple_with_Discard/warning.sso | 5 +- models/Spinydogfish_2011/Spiny_Dogfish.CTL | 5 +- models/Spinydogfish_2011/Spiny_Dogfish.DAT | 48 +- models/Spinydogfish_2011/ss.par | 80 +- models/Spinydogfish_2011/ss_summary.sso | 789 ++++---- models/Spinydogfish_2011/warning.sso | 18 +- models/growth_timevary/Example_1_control.SS | 5 +- models/growth_timevary/Example_1_data.SS | 4 +- models/growth_timevary/ss.par | 90 +- models/growth_timevary/ss_summary.sso | 875 ++++---- models/growth_timevary/starter.ss | 2 +- models/growth_timevary/warning.sso | 11 +- models/platoons/platoons_ctl.ss | 13 +- models/platoons/platoons_dat.ss | 2 +- models/platoons/ss.par | 36 +- models/platoons/ss_summary.sso | 701 ++++--- models/platoons/starter.ss | 2 +- models/platoons/warning.sso | 12 +- models/tagging_mirrored_sel/data_boot_new.ss | 154 +- models/tagging_mirrored_sel/ss.par | 26 +- models/tagging_mirrored_sel/ss_summary.sso | 1340 ++++++------ models/tagging_mirrored_sel/starter.ss | 2 +- models/tagging_mirrored_sel/warning.sso | 286 ++- models/three_area_nomove/ss.par | 32 +- models/three_area_nomove/ss_summary.sso | 1092 +++++----- models/three_area_nomove/starter.ss | 2 +- .../three_area_nomove_dat.ss | 4 +- models/three_area_nomove/warning.sso | 13 +- models/vermillion_snapper/ss.par | 602 +++--- models/vermillion_snapper/ss_summary.sso | 12 +- models/vermillion_snapper/vermilion.dat | 18 +- models/vermillion_snapper/warning.sso | 16 +- models/vermillion_snapper_F4/ss.par | 602 +++--- models/vermillion_snapper_F4/ss_summary.sso | 14 +- models/vermillion_snapper_F4/vermilion.dat | 18 +- models/vermillion_snapper_F4/warning.sso | 18 +- 74 files changed, 6567 insertions(+), 6765 deletions(-) diff --git a/.github/workflows/update-ss3-models.yml b/.github/workflows/update-ss3-models.yml index 6c8fbf6..26173fe 100644 --- a/.github/workflows/update-ss3-models.yml +++ b/.github/workflows/update-ss3-models.yml @@ -110,5 +110,5 @@ jobs: uses: peter-evans/create-pull-request@v3 with: commit_message: Update model files to new ss exe - branch: add-update-workflow-new + branch: update-test-models title: 'Update model files to new ss exe' diff --git a/models/Empirical_Wtatage_Age_Selex/control.ss b/models/Empirical_Wtatage_Age_Selex/control.ss index e8fe08a..b424853 100644 --- a/models/Empirical_Wtatage_Age_Selex/control.ss +++ b/models/Empirical_Wtatage_Age_Selex/control.ss @@ -15,7 +15,7 @@ #_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # -2 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) +4 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) 1 # not yet implemented; Future usage: Spawner-Recruitment: 1=global; 2=by area 1 # number of recruitment settlement assignments 0 # unused option @@ -99,9 +99,6 @@ -3 4 3.34694 3.34694 0.8 0 -3 0 0 0 0 0 0 0 # Wtlen_2_Mal_GP_1 # Hermaphroditism # Recruitment Distribution - 0 0 0 0 0 0 -4 0 0 0 0 0 0 0 # RecrDist_GP_1 - 0 0 0 0 0 0 -4 0 0 0 0 0 0 0 # RecrDist_Area_1 - 0 0 0 0 0 0 -4 0 0 0 0 0 0 0 # RecrDist_month_1 # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement diff --git a/models/Empirical_Wtatage_Age_Selex/data.ss b/models/Empirical_Wtatage_Age_Selex/data.ss index c6a58ac..08e4a0e 100644 --- a/models/Empirical_Wtatage_Age_Selex/data.ss +++ b/models/Empirical_Wtatage_Age_Selex/data.ss @@ -26,7 +26,7 @@ #_catch_mult: 0=no; 1=yes #_rows are fleets #_fleet_type fishery_timing area catch_units need_catch_mult fleetname - 1 1 1 1 0 FISHERY1 # 1 + 1 -1 1 1 0 FISHERY1 # 1 3 1 1 2 0 SURVEY1 # 2 3 1 1 2 0 SURVEY2 # 3 #Bycatch_fleet_input_goes_next diff --git a/models/Empirical_Wtatage_Age_Selex/ss.par b/models/Empirical_Wtatage_Age_Selex/ss.par index 076d21f..af667bf 100644 --- a/models/Empirical_Wtatage_Age_Selex/ss.par +++ b/models/Empirical_Wtatage_Age_Selex/ss.par @@ -1,4 +1,4 @@ -# Number of parameters = 63 Objective function value = 566.287085076162 Maximum gradient component = 9.05063248642688e-05 +# Number of parameters = 63 Objective function value = 566.275902856134 Maximum gradient component = 7.82835496536019e-05 # dummy_parm: 1.00000000000 # MGparm[1]: @@ -42,19 +42,13 @@ # MGparm[20]: 3.34694000000 # MGparm[21]: -0.00000000000 -# MGparm[22]: -0.00000000000 -# MGparm[23]: -0.00000000000 -# MGparm[24]: 1.00000000000 -# MGparm[25]: +# MGparm[22]: 0.500000000000 # SR_parm[1]: -8.81744370539 +8.81707017627 # SR_parm[2]: -0.595314749697 +0.596012640506 # SR_parm[3]: 0.600000000000 # SR_parm[4]: @@ -62,57 +56,57 @@ # SR_parm[5]: 0.00000000000 # recdev1: - 0.177903970744 -0.0977746470956 0.0417631918231 -0.306359603555 0.323543074543 0.166863232331 0.520224722168 -0.518330362685 0.589664275791 -0.218868900856 0.160330755876 -0.226303513067 -0.426189894008 -0.613982961483 0.580440036552 0.401446975834 0.0798451914772 0.184366905959 -0.355342806725 0.590505777311 -0.608373252521 -0.111175320804 -0.751970294582 0.372049843167 -0.641549997788 0.874421303446 0.895215217197 -0.414684736607 -0.679256187735 0.251538047840 -0.239960042549 + 0.176697394768 -0.0973688622231 0.0412261176856 -0.306444741310 0.323772223046 0.166353836038 0.520409144043 -0.518174165561 0.589927306643 -0.218281537576 0.160699386209 -0.225269553199 -0.425355974042 -0.613602623981 0.581517559677 0.401875047416 0.0801097846015 0.184683961800 -0.355313687950 0.590306419848 -0.608505950140 -0.111496793755 -0.752271107415 0.371695289167 -0.641908517671 0.873917113644 0.894653935409 -0.414998873514 -0.679657014382 0.251120182255 -0.240315299529 # Fcast_recruitments: 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 # Q_parm[1]: -0.970587746641 +0.971014513635 # Q_parm[2]: 0.00000000000 # Q_parm[3]: --6.59049848723 +-6.59076808778 # selparm[1]: 0.00000000000 # selparm[2]: -8.12334351727 +8.12314406236 # selparm[3]: -1.03280350996 +1.03305834052 # selparm[4]: -0.0879165756399 +0.0878889238817 # selparm[5]: -0.855116201253 +0.854570072489 # selparm[6]: -0.328000402476 +0.327463842541 # selparm[7]: -0.0962404412457 +0.0965215323927 # selparm[8]: -0.0909619166005 +0.0911900868269 # selparm[9]: --0.0444585544003 +-0.0448497419013 # selparm[10]: -0.538461188571 +0.537346302383 # selparm[11]: 0.00000000000 # selparm[12]: 0.00000000000 # selparm[13]: -7.48926947704 +7.48705385238 # selparm[14]: -0.639258101527 +0.639429351451 # selparm[15]: -0.846300369388 +0.846604945205 # selparm[16]: --0.417476038157 +-0.418000509038 # selparm[17]: -0.866247179601 +0.867063553354 # selparm[18]: --2.30091433157 +-2.30093955731 # selparm[19]: -2.13292474775 +2.13312853147 # selparm[20]: --0.124954503209 +-0.124585756034 # selparm[21]: --0.0881772270077 +-0.0880591160995 # selparm[22]: 0.00000000000 # selparm[23]: diff --git a/models/Empirical_Wtatage_Age_Selex/ss_summary.sso b/models/Empirical_Wtatage_Age_Selex/ss_summary.sso index 9248876..ecc5128 100644 --- a/models/Empirical_Wtatage_Age_Selex/ss_summary.sso +++ b/models/Empirical_Wtatage_Age_Selex/ss_summary.sso @@ -1,20 +1,20 @@ #V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 data.ss #_DataFile control.ss #_Control -Run_Date: Tue Oct 31 16:37:55 2023 -Final_phase: 5 N_iterations: 502 +Run_Date: Tue Oct 31 16:53:25 2023 +Final_phase: 5 N_iterations: 512 #_LIKELIHOOD Label logL*Lambda -TOTAL_LogL 566.287 -Catch 4.76545e-12 -Survey -3.30526 -Age_comp 574.331 -Recruitment -6.56983 +TOTAL_LogL 566.276 +Catch 4.76946e-12 +Survey -3.3095 +Age_comp 574.325 +Recruitment -6.57081 InitEQ_regime 1.54502e-30 -Sum_recdevs 8.60423e-16 +Sum_recdevs 0 Forecast_Recruitment 0 -Parm_priors 1.82918 -Parm_softbounds 0.00204512 +Parm_priors 1.82927 +Parm_softbounds 0.00204429 Parm_devs 0 F_Ballpark 0 Crash_Pen 0 @@ -41,48 +41,45 @@ CV_young_Mal_GP_1 0.1 0 Fix 0.249999 CV_old_Mal_GP_1 0.1 0 Fix 0.249999 Wtlen_1_Mal_GP_1 2.44e-06 0 Fix 0.5 Wtlen_2_Mal_GP_1 3.34694 0 Fix 0.906706 -RecrDist_GP_1 0 0 Fix 0 -RecrDist_Area_1 0 0 Fix 0 -RecrDist_month_1 0 0 Fix 0 CohortGrowDev 1 0 Fix 0.0909091 FracFemale_GP_1 0.5 0 Fix 0.499999 #_SPAWN_RECR -SR_LN(R0) 8.81744 0.032974 Act 0.207766 -SR_BH_steep 0.595315 0.0697959 Act 0.494143 +SR_LN(R0) 8.81707 0.0329842 Act 0.207752 +SR_BH_steep 0.596013 0.0698107 Act 0.495015 SR_sigmaR 0.6 0 Fix 0.3 SR_regime 0 0 Fix 0.5 SR_autocorr 0 0 Fix 0 -Main_RecrDev_1971 0.177904 0.324992 Act 0.51779 -Main_RecrDev_1972 -0.0977746 0.440058 Act 0.490222 -Main_RecrDev_1973 0.0417632 0.370364 Act 0.504176 -Main_RecrDev_1974 -0.30636 0.409382 Act 0.469364 -Main_RecrDev_1975 0.323543 0.29986 Act 0.532354 -Main_RecrDev_1976 0.166863 0.427374 Act 0.516686 -Main_RecrDev_1977 0.520225 0.269507 Act 0.552022 -Main_RecrDev_1978 -0.51833 0.432167 Act 0.448167 -Main_RecrDev_1979 0.589664 0.226056 Act 0.558966 -Main_RecrDev_1980 -0.218869 0.43658 Act 0.478113 -Main_RecrDev_1981 0.160331 0.268404 Act 0.516033 -Main_RecrDev_1982 -0.226304 0.368496 Act 0.47737 -Main_RecrDev_1983 -0.42619 0.39305 Act 0.457381 -Main_RecrDev_1984 -0.613983 0.412571 Act 0.438602 -Main_RecrDev_1985 0.58044 0.242236 Act 0.558044 -Main_RecrDev_1986 0.401447 0.301479 Act 0.540145 -Main_RecrDev_1987 0.0798452 0.33057 Act 0.507984 -Main_RecrDev_1988 0.184367 0.269544 Act 0.518437 -Main_RecrDev_1989 -0.355343 0.376877 Act 0.464466 -Main_RecrDev_1990 0.590506 0.19657 Act 0.559051 -Main_RecrDev_1991 -0.608373 0.38072 Act 0.439163 -Main_RecrDev_1992 -0.111175 0.277513 Act 0.488882 -Main_RecrDev_1993 -0.75197 0.357028 Act 0.424803 -Main_RecrDev_1994 0.37205 0.218115 Act 0.537205 -Main_RecrDev_1995 -0.64155 0.365424 Act 0.435845 -Main_RecrDev_1996 0.874421 0.221102 Act 0.587442 -Main_RecrDev_1997 0.895215 0.275709 Act 0.589521 -Main_RecrDev_1998 -0.414685 0.389218 Act 0.458531 -Main_RecrDev_1999 -0.679256 0.402976 Act 0.432074 -Main_RecrDev_2000 0.251538 0.36334 Act 0.525154 -Main_RecrDev_2001 -0.23996 0.447659 Act 0.476004 +Main_RecrDev_1971 0.176697 0.32518 Act 0.51767 +Main_RecrDev_1972 -0.0973689 0.43989 Act 0.490263 +Main_RecrDev_1973 0.0412261 0.37052 Act 0.504123 +Main_RecrDev_1974 -0.306445 0.409353 Act 0.469355 +Main_RecrDev_1975 0.323772 0.29971 Act 0.532377 +Main_RecrDev_1976 0.166354 0.427444 Act 0.516635 +Main_RecrDev_1977 0.520409 0.269416 Act 0.552041 +Main_RecrDev_1978 -0.518174 0.432152 Act 0.448183 +Main_RecrDev_1979 0.589927 0.226089 Act 0.558993 +Main_RecrDev_1980 -0.218282 0.436545 Act 0.478172 +Main_RecrDev_1981 0.160699 0.268498 Act 0.51607 +Main_RecrDev_1982 -0.22527 0.368701 Act 0.477473 +Main_RecrDev_1983 -0.425356 0.393321 Act 0.457464 +Main_RecrDev_1984 -0.613603 0.41271 Act 0.43864 +Main_RecrDev_1985 0.581518 0.242255 Act 0.558152 +Main_RecrDev_1986 0.401875 0.301593 Act 0.540187 +Main_RecrDev_1987 0.0801098 0.330597 Act 0.508011 +Main_RecrDev_1988 0.184684 0.26954 Act 0.518468 +Main_RecrDev_1989 -0.355314 0.376884 Act 0.464469 +Main_RecrDev_1990 0.590306 0.196573 Act 0.559031 +Main_RecrDev_1991 -0.608506 0.380754 Act 0.439149 +Main_RecrDev_1992 -0.111497 0.277506 Act 0.48885 +Main_RecrDev_1993 -0.752271 0.356991 Act 0.424773 +Main_RecrDev_1994 0.371695 0.218111 Act 0.537169 +Main_RecrDev_1995 -0.641909 0.365414 Act 0.435809 +Main_RecrDev_1996 0.873917 0.221095 Act 0.587392 +Main_RecrDev_1997 0.894654 0.275725 Act 0.589465 +Main_RecrDev_1998 -0.414999 0.389194 Act 0.4585 +Main_RecrDev_1999 -0.679657 0.402964 Act 0.432034 +Main_RecrDev_2000 0.25112 0.363345 Act 0.525112 +Main_RecrDev_2001 -0.240315 0.447667 Act 0.475968 ForeRecr_2002 0 0.6 Act 0.5 ForeRecr_2003 0 0.6 Act 0.5 ForeRecr_2004 0 0.6 Act 0.5 @@ -94,395 +91,395 @@ ForeRecr_2009 0 0.6 Act 0.5 ForeRecr_2010 0 0.6 Act 0.5 ForeRecr_2011 0 0.6 Act 0.5 #_Catchability -LnQ_base_SURVEY1(2) 0.970588 0.245464 Act 0.664216 +LnQ_base_SURVEY1(2) 0.971015 0.245495 Act 0.664251 Q_extraSD_SURVEY1(2) 0 0 Fix 0 -LnQ_base_SURVEY2(3) -6.5905 0.280848 Act 0.0341251 +LnQ_base_SURVEY2(3) -6.59077 0.28087 Act 0.0341027 #_Selectivity AgeSel_P1_FISHERY1(1) 0 0 Fix 0.990099 -AgeSel_P2_FISHERY1(1) 8.12334 36.1344 Act 0.906167 -AgeSel_P3_FISHERY1(1) 1.0328 0.604274 Act 0.55164 -AgeSel_P4_FISHERY1(1) 0.0879166 0.522118 Act 0.504396 -AgeSel_P5_FISHERY1(1) 0.855116 0.459771 Act 0.542756 -AgeSel_P6_FISHERY1(1) 0.328 0.407158 Act 0.5164 -AgeSel_P7_FISHERY1(1) 0.0962404 0.484711 Act 0.504812 -AgeSel_P8_FISHERY1(1) 0.0909619 0.548254 Act 0.504548 -AgeSel_P9_FISHERY1(1) -0.0444586 0.545101 Act 0.497777 -AgeSel_P10_FISHERY1(1) 0.538461 0.294106 Act 0.526923 +AgeSel_P2_FISHERY1(1) 8.12314 36.1566 Act 0.906157 +AgeSel_P3_FISHERY1(1) 1.03306 0.604159 Act 0.551653 +AgeSel_P4_FISHERY1(1) 0.0878889 0.521804 Act 0.504394 +AgeSel_P5_FISHERY1(1) 0.85457 0.459256 Act 0.542728 +AgeSel_P6_FISHERY1(1) 0.327464 0.406277 Act 0.516373 +AgeSel_P7_FISHERY1(1) 0.0965215 0.483646 Act 0.504826 +AgeSel_P8_FISHERY1(1) 0.0911901 0.547324 Act 0.504559 +AgeSel_P9_FISHERY1(1) -0.0448497 0.544519 Act 0.497757 +AgeSel_P10_FISHERY1(1) 0.537346 0.293823 Act 0.526867 AgeSel_P11_FISHERY1(1) 0 0 Fix 0.5 AgeSel_P1_SURVEY1(2) 0 0 Fix 0.990099 -AgeSel_P2_SURVEY1(2) 7.48927 44.5917 Act 0.874463 -AgeSel_P3_SURVEY1(2) 0.639258 0.616567 Act 0.531963 -AgeSel_P4_SURVEY1(2) 0.8463 0.615499 Act 0.542315 -AgeSel_P5_SURVEY1(2) -0.417476 0.652527 Act 0.479126 -AgeSel_P6_SURVEY1(2) 0.866247 0.544909 Act 0.543312 -AgeSel_P7_SURVEY1(2) -2.30091 1.20781 Act 0.384954 -AgeSel_P8_SURVEY1(2) 2.13292 1.22119 Act 0.606646 -AgeSel_P9_SURVEY1(2) -0.124955 0.563043 Act 0.493752 -AgeSel_P10_SURVEY1(2) -0.0881772 0.380978 Act 0.495591 +AgeSel_P2_SURVEY1(2) 7.48705 44.6157 Act 0.874353 +AgeSel_P3_SURVEY1(2) 0.639429 0.616535 Act 0.531971 +AgeSel_P4_SURVEY1(2) 0.846605 0.615515 Act 0.54233 +AgeSel_P5_SURVEY1(2) -0.418001 0.652826 Act 0.4791 +AgeSel_P6_SURVEY1(2) 0.867064 0.545146 Act 0.543353 +AgeSel_P7_SURVEY1(2) -2.30094 1.20776 Act 0.384953 +AgeSel_P8_SURVEY1(2) 2.13313 1.22111 Act 0.606656 +AgeSel_P9_SURVEY1(2) -0.124586 0.562962 Act 0.493771 +AgeSel_P10_SURVEY1(2) -0.0880591 0.380924 Act 0.495597 AgeSel_P11_SURVEY1(2) 0 0 Fix 0.5 minage@sel=1_SURVEY2(3) 0 0 Fix 0 maxage@sel=1_SURVEY2(3) 0 0 Fix 0 #_Derived_Quantities #_Spawn_Bio -SSB_Virgin 50029.2 1649.66 -SSB_Initial 50029.2 1649.66 -SSB_1971 50029.2 1649.66 -SSB_1972 50029.2 1649.52 -SSB_1973 49945.1 1648.43 -SSB_1974 49525.9 1642.39 -SSB_1975 49106.8 1622.04 -SSB_1976 48243.6 1581.07 -SSB_1977 46913.6 1522.21 -SSB_1978 45119.4 1450.9 -SSB_1979 42911.1 1370.64 -SSB_1980 40396.9 1282.62 -SSB_1981 37254 1187.91 -SSB_1982 33549.8 1087.66 -SSB_1983 30076.7 988.34 -SSB_1984 26818.3 891.546 -SSB_1985 23704.1 799.598 -SSB_1986 20645.1 718.879 -SSB_1987 17582 647.629 -SSB_1988 14502.7 587.972 -SSB_1989 11895.2 538.809 -SSB_1990 9912.76 498.229 -SSB_1991 8555.67 473.312 -SSB_1992 7668.49 470.237 -SSB_1993 7475.65 491.096 -SSB_1994 7239.63 529.185 -SSB_1995 6936.88 582.593 -SSB_1996 6502.77 649.008 -SSB_1997 5920.12 721.815 -SSB_1998 5573.6 803.602 -SSB_1999 5229.42 898.367 -SSB_2000 4957.32 1021.33 -SSB_2001 4840.63 1185.71 -SSB_2002 4847.24 1393.61 -SSB_2003 5795.88 1633.91 -SSB_2004 6655.96 1730.91 -SSB_2005 7380.33 1802.84 -SSB_2006 7966.67 1850.45 -SSB_2007 8445.23 1891.45 -SSB_2008 8877.08 1955.6 -SSB_2009 9301.69 2053.71 -SSB_2010 9729.34 2178.33 -SSB_2011 10173.7 2325.18 +SSB_Virgin 50010.5 1649.56 +SSB_Initial 50010.5 1649.56 +SSB_1971 50010.5 1649.56 +SSB_1972 50010.5 1649.42 +SSB_1973 49926.4 1648.33 +SSB_1974 49507.2 1642.3 +SSB_1975 49087.9 1622 +SSB_1976 48224.3 1581.11 +SSB_1977 46893.8 1522.35 +SSB_1978 45099.2 1451.14 +SSB_1979 42890.5 1370.98 +SSB_1980 40376 1283.05 +SSB_1981 37232.9 1188.44 +SSB_1982 33528.7 1088.29 +SSB_1983 30055.8 989.067 +SSB_1984 26797.8 892.353 +SSB_1985 23684.2 800.478 +SSB_1986 20626 719.809 +SSB_1987 17563.9 648.585 +SSB_1988 14486.1 588.909 +SSB_1989 11880.3 539.712 +SSB_1990 9899.68 499.081 +SSB_1991 8544.37 474.179 +SSB_1992 7658.58 471.174 +SSB_1993 7466.53 492.171 +SSB_1994 7231.12 530.417 +SSB_1995 6928.86 583.966 +SSB_1996 6495.09 650.537 +SSB_1997 5912.77 723.434 +SSB_1998 5566.46 805.317 +SSB_1999 5222.62 900.098 +SSB_2000 4950.92 1023.06 +SSB_2001 4834.68 1187.37 +SSB_2002 4841.64 1395.23 +SSB_2003 5790.09 1635.66 +SSB_2004 6650.47 1732.64 +SSB_2005 7375.3 1804.5 +SSB_2006 7962.3 1852.08 +SSB_2007 8441.7 1893.09 +SSB_2008 8874.51 1957.28 +SSB_2009 9300.17 2055.47 +SSB_2010 9728.91 2180.17 +SSB_2011 10174.4 2327.08 #_Recruitment -Recr_Virgin 6750.99 222.607 -Recr_Initial 6750.99 222.607 -Recr_1971 6736.85 2125.72 -Recr_1972 5113.65 2249.08 -Recr_1973 5877.7 2158.76 -Recr_1974 4143.76 1689.79 -Recr_1975 7768.25 2291.79 -Recr_1976 6621.23 2821.99 -Recr_1977 9381.04 2472.84 -Recr_1978 3297.07 1427.58 -Recr_1979 9890.28 2172.68 -Recr_1980 4354.01 1899.75 -Recr_1981 6254.97 1659.97 -Recr_1982 4150.43 1523.64 -Recr_1983 3309.09 1296.77 -Recr_1984 2660.41 1107.06 -Recr_1985 8476 2010.85 -Recr_1986 6783.6 2042.4 -Recr_1987 4649.41 1543.83 -Recr_1988 4787.48 1267.3 -Recr_1989 2558.56 985.987 -Recr_1990 6030.29 1120.1 -Recr_1991 1682.69 682.01 -Recr_1992 2602.47 723.239 -Recr_1993 1351.24 524.275 -Recr_1994 4081.12 975.243 -Recr_1995 1444.15 599.564 -Recr_1996 6324.72 1712.72 -Recr_1997 6090.94 2067.26 -Recr_1998 1581.32 721.814 -Recr_1999 1164.1 560.966 -Recr_2000 2849.24 1298.14 -Recr_2001 1715.05 927.301 -Recr_2002 2612.55 1797.87 -Recr_2003 2939.07 1987.28 -Recr_2004 3203.43 2123.32 -Recr_2005 3406.05 2227.79 -Recr_2006 3558.26 2306.27 -Recr_2007 3675.41 2367.38 -Recr_2008 3776.1 2421.8 -Recr_2009 3870.76 2474.68 -Recr_2010 3962.02 2526.42 -Recr_2011 4052.82 2578.09 +Recr_Virgin 6748.46 222.593 +Recr_Initial 6748.46 222.593 +Recr_1971 6726.22 2123.76 +Recr_1972 5113.82 2248.24 +Recr_1973 5872.36 2157.78 +Recr_1974 4141.88 1688.91 +Recr_1975 7767.18 2290.28 +Recr_1976 6615.48 2820.04 +Recr_1977 9379.49 2471.54 +Recr_1978 3296.48 1427.28 +Recr_1979 9889.77 2172.9 +Recr_1980 4355.31 1900.13 +Recr_1981 6255.68 1660.75 +Recr_1982 4153.85 1525.75 +Recr_1983 3311.32 1298.51 +Recr_1984 2661.13 1107.72 +Recr_1985 8484.67 2013.23 +Recr_1986 6786.56 2043.99 +Recr_1987 4651 1544.63 +Recr_1988 4789.76 1267.92 +Recr_1989 2559.24 986.279 +Recr_1990 6031.06 1120.56 +Recr_1991 1683.17 682.291 +Recr_1992 2602.94 723.46 +Recr_1993 1351.59 524.327 +Recr_1994 4082.16 975.395 +Recr_1995 1444.57 599.745 +Recr_1996 6325.79 1712.63 +Recr_1997 6091.75 2067.69 +Recr_1998 1581.94 722.055 +Recr_1999 1164.48 561.16 +Recr_2000 2850.23 1298.77 +Recr_2001 1715.85 927.829 +Recr_2002 2614.83 1799.68 +Recr_2003 2941.61 1989.1 +Recr_2004 3206.23 2125.15 +Recr_2005 3409.06 2229.64 +Recr_2006 3561.46 2308.16 +Recr_2007 3678.8 2369.33 +Recr_2008 3779.68 2423.82 +Recr_2009 3874.52 2476.76 +Recr_2010 3965.95 2528.56 +Recr_2011 4056.88 2580.27 #_SPR Basis= (1-SPR)/(1-SPR_40%) -SPRratio_1972 0.0390711 0.0012155 -SPRratio_1973 0.181913 0.00518637 -SPRratio_1974 0.183392 0.00522214 -SPRratio_1975 0.339116 0.00853262 -SPRratio_1976 0.476492 0.0107005 -SPRratio_1977 0.600361 0.0120567 -SPRratio_1978 0.715254 0.0129344 -SPRratio_1979 0.821147 0.0133398 -SPRratio_1980 0.984385 0.0134092 -SPRratio_1981 1.12328 0.0125048 -SPRratio_1982 1.16801 0.0125811 -SPRratio_1983 1.21477 0.0120613 -SPRratio_1984 1.25661 0.0128838 -SPRratio_1985 1.30405 0.0130205 -SPRratio_1986 1.3471 0.0122358 -SPRratio_1987 1.40432 0.0104452 -SPRratio_1988 1.42045 0.0108738 -SPRratio_1989 1.43603 0.0111603 -SPRratio_1990 1.43478 0.0126489 -SPRratio_1991 1.4278 0.0144455 -SPRratio_1992 1.32997 0.0209721 -SPRratio_1993 1.35288 0.0222173 -SPRratio_1994 1.35389 0.0249526 -SPRratio_1995 1.36755 0.0289084 -SPRratio_1996 1.39414 0.0328468 -SPRratio_1997 1.32858 0.0461091 -SPRratio_1998 1.34868 0.051527 -SPRratio_1999 1.35108 0.0607768 -SPRratio_2000 1.36583 0.0696331 -SPRratio_2001 1.36223 0.0828896 -SPRratio_2002 0.00015302 4.42626e-05 -SPRratio_2003 0.251585 0.391555 -SPRratio_2004 0.41317 0.257473 -SPRratio_2005 0.503888 0.192854 -SPRratio_2006 0.559219 0.157107 -SPRratio_2007 0.596059 0.135747 -SPRratio_2008 0.624423 0.122125 -SPRratio_2009 0.648703 0.112682 -SPRratio_2010 0.670195 0.105655 -SPRratio_2011 0.689924 0.102038 +SPRratio_1972 0.0390891 0.00121651 +SPRratio_1973 0.181994 0.00519054 +SPRratio_1974 0.183475 0.00522635 +SPRratio_1975 0.339267 0.00853985 +SPRratio_1976 0.476702 0.0107097 +SPRratio_1977 0.60062 0.0120667 +SPRratio_1978 0.715559 0.0129447 +SPRratio_1979 0.821484 0.01335 +SPRratio_1980 0.984778 0.0134191 +SPRratio_1981 1.12368 0.0125127 +SPRratio_1982 1.16842 0.0125905 +SPRratio_1983 1.21518 0.0120716 +SPRratio_1984 1.25704 0.0128928 +SPRratio_1985 1.30449 0.0130299 +SPRratio_1986 1.34754 0.0122439 +SPRratio_1987 1.40474 0.0104581 +SPRratio_1988 1.42088 0.0108866 +SPRratio_1989 1.43644 0.0111781 +SPRratio_1990 1.43519 0.0126765 +SPRratio_1991 1.4282 0.014479 +SPRratio_1992 1.33037 0.0210309 +SPRratio_1993 1.35326 0.0222816 +SPRratio_1994 1.35428 0.0250219 +SPRratio_1995 1.36796 0.0289974 +SPRratio_1996 1.39455 0.0329243 +SPRratio_1997 1.32904 0.0462428 +SPRratio_1998 1.34912 0.0516428 +SPRratio_1999 1.35154 0.0609264 +SPRratio_2000 1.36623 0.0697574 +SPRratio_2001 1.3626 0.0830472 +SPRratio_2002 0.000152867 4.43188e-05 +SPRratio_2003 0.250678 0.392936 +SPRratio_2004 0.412674 0.258178 +SPRratio_2005 0.503594 0.193274 +SPRratio_2006 0.559049 0.157379 +SPRratio_2007 0.595981 0.135929 +SPRratio_2008 0.62442 0.122248 +SPRratio_2009 0.648759 0.112765 +SPRratio_2010 0.6703 0.105707 +SPRratio_2011 0.690065 0.102066 #_F Basis= (F)/(F40%SPR);_with_F=Z-M;_for_ages_20_23 -F_1972 0.018924 0.000584802 -F_1973 0.0951075 0.00292247 -F_1974 0.0959599 0.00294816 -F_1975 0.194483 0.00582024 -F_1976 0.298908 0.00882716 -F_1977 0.411927 0.0120032 -F_1978 0.538245 0.0156296 -F_1979 0.679483 0.0196476 -F_1980 0.966494 0.0282405 -F_1981 1.3195 0.0382963 -F_1982 1.4673 0.0442418 -F_1983 1.64749 0.0509762 -F_1984 1.83731 0.0626951 -F_1985 2.09575 0.0802576 -F_1986 2.3843 0.0884781 -F_1987 2.88567 0.111282 -F_1988 3.06099 0.122453 -F_1989 3.24942 0.145679 -F_1990 3.23357 0.16471 -F_1991 3.14742 0.181057 -F_1992 2.26215 0.146334 -F_1993 2.42799 0.1762 -F_1994 2.43582 0.195368 -F_1995 2.54518 0.240754 -F_1996 2.78383 0.3188 -F_1997 2.25267 0.311397 -F_1998 2.39615 0.386682 -F_1999 2.41429 0.459657 -F_2000 2.53095 0.570932 -F_2001 2.50161 0.666032 -F_2002 7.26662e-05 2.09347e-05 -F_2003 0.136876 0.244211 -F_2004 0.248405 0.196432 -F_2005 0.322171 0.166653 -F_2006 0.372057 0.147167 -F_2007 0.407638 0.134452 -F_2008 0.436454 0.126404 -F_2009 0.462178 0.12119 -F_2010 0.485817 0.117616 -F_2011 0.508276 0.117225 +F_1972 0.0189369 0.000585374 +F_1973 0.0951729 0.00292536 +F_1974 0.0960264 0.00295109 +F_1975 0.194621 0.00582654 +F_1976 0.299127 0.00883723 +F_1977 0.412236 0.0120172 +F_1978 0.538666 0.0156485 +F_1979 0.680025 0.019673 +F_1980 0.967329 0.0282823 +F_1981 1.32064 0.0383587 +F_1982 1.46864 0.0443257 +F_1983 1.64901 0.0510833 +F_1984 1.83909 0.0628261 +F_1985 2.09795 0.0804423 +F_1986 2.38698 0.0887123 +F_1987 2.88902 0.111638 +F_1988 3.0649 0.122909 +F_1989 3.25345 0.14622 +F_1990 3.23753 0.165381 +F_1991 3.15101 0.181748 +F_1992 2.26439 0.146898 +F_1993 2.43029 0.176869 +F_1994 2.43816 0.196118 +F_1995 2.5479 0.241825 +F_1996 2.78694 0.320044 +F_1997 2.25531 0.312792 +F_1998 2.39886 0.388145 +F_1999 2.41716 0.461565 +F_2000 2.53355 0.572779 +F_2001 2.50391 0.66815 +F_2002 7.26093e-05 2.09649e-05 +F_2003 0.136336 0.244847 +F_2004 0.248066 0.196859 +F_2005 0.321962 0.166955 +F_2006 0.371946 0.147388 +F_2007 0.407612 0.134618 +F_2008 0.436502 0.12653 +F_2009 0.462291 0.121288 +F_2010 0.485986 0.117691 +F_2011 0.508492 0.117281 #_Depletion Basis= 40%*Virgin_Biomass -Bratio_1973 2.4958 0.000190599 -Bratio_1974 2.47485 0.00107791 -Bratio_1975 2.45391 0.00330454 -Bratio_1976 2.41077 0.00756616 -Bratio_1977 2.34431 0.0127772 -Bratio_1978 2.25465 0.0177863 -Bratio_1979 2.1443 0.0220516 -Bratio_1980 2.01867 0.0254823 -Bratio_1981 1.86161 0.027968 -Bratio_1982 1.67651 0.0294094 -Bratio_1983 1.50296 0.0300897 -Bratio_1984 1.34013 0.0302434 -Bratio_1985 1.18451 0.029678 -Bratio_1986 1.03165 0.0288098 -Bratio_1987 0.878585 0.0273487 -Bratio_1988 0.724712 0.025656 -Bratio_1989 0.594414 0.0240468 -Bratio_1990 0.495349 0.022738 -Bratio_1991 0.427534 0.0221045 -Bratio_1992 0.383201 0.0224584 -Bratio_1993 0.373564 0.0239708 -Bratio_1994 0.36177 0.0261781 -Bratio_1995 0.346642 0.0290095 -Bratio_1996 0.324949 0.032368 -Bratio_1997 0.295833 0.0359989 -Bratio_1998 0.278517 0.0401099 -Bratio_1999 0.261318 0.0448763 -Bratio_2000 0.247721 0.0510576 -Bratio_2001 0.24189 0.0593331 -Bratio_2002 0.242221 0.0697823 -Bratio_2003 0.289625 0.0819485 -Bratio_2004 0.332604 0.0869275 -Bratio_2005 0.368801 0.0906642 -Bratio_2006 0.398101 0.0932027 -Bratio_2007 0.422015 0.09545 -Bratio_2008 0.443595 0.0989132 -Bratio_2009 0.464813 0.104122 -Bratio_2010 0.486183 0.110673 -Bratio_2011 0.50839 0.118336 +Bratio_1973 2.49579 0.00019063 +Bratio_1974 2.47484 0.00107816 +Bratio_1975 2.45388 0.00330328 +Bratio_1976 2.41071 0.00756225 +Bratio_1977 2.3442 0.0127702 +Bratio_1978 2.25448 0.017777 +Bratio_1979 2.14407 0.0220412 +Bratio_1980 2.01837 0.0254713 +Bratio_1981 1.86125 0.0279587 +Bratio_1982 1.67608 0.0294038 +Bratio_1983 1.50247 0.030088 +Bratio_1984 1.33961 0.0302452 +Bratio_1985 1.18396 0.029684 +Bratio_1986 1.03108 0.02882 +Bratio_1987 0.878013 0.0273645 +Bratio_1988 0.724154 0.0256773 +Bratio_1989 0.593888 0.024073 +Bratio_1990 0.49488 0.0227674 +Bratio_1991 0.427129 0.022139 +Bratio_1992 0.382848 0.0224994 +Bratio_1993 0.373248 0.0240198 +Bratio_1994 0.36148 0.0262365 +Bratio_1995 0.34637 0.0290769 +Bratio_1996 0.324686 0.0324458 +Bratio_1997 0.295577 0.0360841 +Bratio_1998 0.278264 0.0402023 +Bratio_1999 0.261076 0.044972 +Bratio_2000 0.247494 0.0511563 +Bratio_2001 0.241683 0.0594316 +Bratio_2002 0.242031 0.0698831 +Bratio_2003 0.289444 0.0820592 +Bratio_2004 0.332454 0.0870379 +Bratio_2005 0.368688 0.0907725 +Bratio_2006 0.398031 0.0933102 +Bratio_2007 0.421996 0.0955587 +Bratio_2008 0.443632 0.0990255 +Bratio_2009 0.464911 0.10424 +Bratio_2010 0.486343 0.110799 +Bratio_2011 0.508613 0.118469 #_Mgmt_Quantity -SSB_unfished 50029.2 1649.66 -Totbio_unfished 124948 4120.02 -SmryBio_unfished 124441 4103.32 -Recr_unfished 6750.99 222.607 -SSB_Btgt 17110 564.184 -SPR_Btgt 0.453824 0.0323968 -annF_Btgt 0.0786325 0.00966627 -Dead_Catch_Btgt 3149.4 347.289 -SSB_SPR 13865.9 1955.87 -annF_SPR 0.0954937 0.00215913 -Dead_Catch_SPR 3130.31 445.993 -SSB_MSY 15954.9 1591.47 -SPR_MSY 0.43466 0.0544523 -annF_MSY 0.084236 0.0170265 -Dead_Catch_MSY 3156.62 363.278 -Ret_Catch_MSY 3156.62 363.278 -B_MSY/SSB_unfished 0.318912 0.0252033 -ForeCatch_2002 0.0908578 0.0517289 -ForeCatch_2003 195.872 401.864 -ForeCatch_2004 380.852 397.372 -ForeCatch_2005 559.955 423.118 -ForeCatch_2006 723.781 452.275 -ForeCatch_2007 822.011 453.145 -ForeCatch_2008 902.094 452.589 -ForeCatch_2009 1007.63 471.392 -ForeCatch_2010 1093.48 479.9 -ForeCatch_2011 1193.42 495.61 -OFLCatch_2002 1207.91 342.203 -OFLCatch_2003 1386.73 387.296 -OFLCatch_2004 1492.04 391.818 -OFLCatch_2005 1692.91 419.45 -OFLCatch_2006 1895.94 450.081 -OFLCatch_2007 1968.73 453.968 -OFLCatch_2008 2021.16 452.126 -OFLCatch_2009 2134.01 471.628 -OFLCatch_2010 2205.83 478.675 -OFLCatch_2011 2303.21 494.219 +SSB_unfished 50010.5 1649.56 +Totbio_unfished 124901 4119.77 +SmryBio_unfished 124395 4103.06 +Recr_unfished 6748.46 222.593 +SSB_Btgt 17103.6 564.149 +SPR_Btgt 0.453501 0.0323278 +annF_Btgt 0.0786865 0.00965452 +Dead_Catch_Btgt 3151.7 346.757 +SSB_SPR 13882.1 1947.79 +annF_SPR 0.0954451 0.0021548 +Dead_Catch_SPR 3133.62 444.141 +SSB_MSY 15936.6 1590.84 +SPR_MSY 0.43412 0.0544062 +annF_MSY 0.084359 0.0170392 +Dead_Catch_MSY 3159.08 362.932 +Ret_Catch_MSY 3159.08 362.932 +B_MSY/SSB_unfished 0.318665 0.0252042 +ForeCatch_2002 0.0907123 0.0517515 +ForeCatch_2003 194.963 402.383 +ForeCatch_2004 380.124 397.837 +ForeCatch_2005 559.243 423.479 +ForeCatch_2006 723.134 452.596 +ForeCatch_2007 821.607 453.506 +ForeCatch_2008 901.945 452.942 +ForeCatch_2009 1007.73 471.763 +ForeCatch_2010 1093.85 480.27 +ForeCatch_2011 1194.05 495.974 +OFLCatch_2002 1206.94 342.547 +OFLCatch_2003 1385.75 387.713 +OFLCatch_2004 1491.22 392.235 +OFLCatch_2005 1691.86 419.764 +OFLCatch_2006 1894.83 450.377 +OFLCatch_2007 1967.91 454.347 +OFLCatch_2008 2020.64 452.476 +OFLCatch_2009 2133.72 472.002 +OFLCatch_2010 2205.83 479.037 +OFLCatch_2011 2303.48 494.571 #_Extra_stdev -AgeSelex_std_1_Fem_A_1 0.0505374 0.0201299 -AgeSelex_std_1_Fem_A_3 0.155001 0.0493775 -AgeSelex_std_1_Fem_A_5 0.506007 0.120297 -AgeSelex_std_1_Fem_A_7 0.610179 0.184488 -AgeSelex_std_1_Fem_A_8 0.583646 0.171654 -AgeSelex_std_1_Mal_A_1 0.0505374 0.0201299 -AgeSelex_std_1_Mal_A_3 0.155001 0.0493775 -AgeSelex_std_1_Mal_A_5 0.506007 0.120297 -AgeSelex_std_1_Mal_A_7 0.610179 0.184488 -AgeSelex_std_1_Mal_A_8 0.583646 0.171654 -NatAge_std_1_Fem_A_1 775.917 419.527 -NatAge_std_1_Fem_A_2 1152.38 527.961 -NatAge_std_1_Fem_A_14 89.1512 37.263 -NatAge_std_1_Fem_A_26 2.34415 1.37709 -NatAge_std_1_Fem_A_40 3.6793 1.51787 -NatAge_std_1_Mal_A_1 775.917 419.527 -NatAge_std_1_Mal_A_2 1152.38 527.961 -NatAge_std_1_Mal_A_14 89.1512 37.263 -NatAge_std_1_Mal_A_26 2.34415 1.37709 -NatAge_std_1_Mal_A_40 3.6793 1.51787 -ln(SPB)_1971 10.8204 0.032974 -ln(SPB)_1986 9.93523 0.0348208 -ln(SPB)_2001 8.4848 0.24495 -SmryBio_Virgin 124441 0.0 -SmryBio_Initial 124441 0.0 -SmryBio_1971 124441 0.0 -SmryBio_1972 124439 0.0 -SmryBio_1973 123962 0.0 -SmryBio_1974 122676 0.0 -SmryBio_1975 121005 0.0 -SmryBio_1976 118767 0.0 -SmryBio_1977 115644 0.0 -SmryBio_1978 112295 0.0 -SmryBio_1979 107574 0.0 -SmryBio_1980 103017 0.0 -SmryBio_1981 96367.1 0.0 -SmryBio_1982 88349.2 0.0 -SmryBio_1983 80359.1 0.0 -SmryBio_1984 72346.3 0.0 -SmryBio_1985 64209.6 0.0 -SmryBio_1986 57012 0.0 -SmryBio_1987 50208.4 0.0 -SmryBio_1988 43596.5 0.0 -SmryBio_1989 38230.2 0.0 -SmryBio_1990 33625.8 0.0 -SmryBio_1991 30419.7 0.0 -SmryBio_1992 27591.4 0.0 -SmryBio_1993 26458 0.0 -SmryBio_1994 24879 0.0 -SmryBio_1995 23425.6 0.0 -SmryBio_1996 21528.1 0.0 -SmryBio_1997 20262.3 0.0 -SmryBio_1998 20305.8 0.0 -SmryBio_1999 20018 0.0 -SmryBio_2000 19521.5 0.0 -SmryBio_2001 19049.2 0.0 -SmryBio_2002 18274.2 0.0 -SmryBio_2003 20200.8 0.0 -SmryBio_2004 21941.4 0.0 -SmryBio_2005 23535.3 0.0 -SmryBio_2006 25015.4 0.0 -SmryBio_2007 26416.1 0.0 -SmryBio_2008 27809.5 0.0 -SmryBio_2009 29215.4 0.0 -SmryBio_2010 30606.9 0.0 -SmryBio_2011 31994.6 0.0 +AgeSelex_std_1_Fem_A_1 0.0506311 0.0201687 +AgeSelex_std_1_Fem_A_3 0.155324 0.049447 +AgeSelex_std_1_Fem_A_5 0.506512 0.120143 +AgeSelex_std_1_Fem_A_7 0.611099 0.184483 +AgeSelex_std_1_Fem_A_8 0.584297 0.17168 +AgeSelex_std_1_Mal_A_1 0.0506311 0.0201687 +AgeSelex_std_1_Mal_A_3 0.155324 0.049447 +AgeSelex_std_1_Mal_A_5 0.506512 0.120143 +AgeSelex_std_1_Mal_A_7 0.611099 0.184483 +AgeSelex_std_1_Mal_A_8 0.584297 0.17168 +NatAge_std_1_Fem_A_1 776.279 419.767 +NatAge_std_1_Fem_A_2 1152.75 528.214 +NatAge_std_1_Fem_A_14 89.0082 37.2752 +NatAge_std_1_Fem_A_26 2.33456 1.37378 +NatAge_std_1_Fem_A_40 3.66729 1.51712 +NatAge_std_1_Mal_A_1 776.279 419.767 +NatAge_std_1_Mal_A_2 1152.75 528.214 +NatAge_std_1_Mal_A_14 89.0082 37.2752 +NatAge_std_1_Mal_A_26 2.33456 1.37378 +NatAge_std_1_Mal_A_40 3.66729 1.51712 +ln(SPB)_1971 10.82 0.0329842 +ln(SPB)_1986 9.93431 0.0348981 +ln(SPB)_2001 8.48357 0.245593 +SmryBio_Virgin 124395 0.0 +SmryBio_Initial 124395 0.0 +SmryBio_1971 124395 0.0 +SmryBio_1972 124391 0.0 +SmryBio_1973 123913 0.0 +SmryBio_1974 122626 0.0 +SmryBio_1975 120954 0.0 +SmryBio_1976 118716 0.0 +SmryBio_1977 115592 0.0 +SmryBio_1978 112242 0.0 +SmryBio_1979 107521 0.0 +SmryBio_1980 102964 0.0 +SmryBio_1981 96314.6 0.0 +SmryBio_1982 88298 0.0 +SmryBio_1983 80309.9 0.0 +SmryBio_1984 72299.6 0.0 +SmryBio_1985 64165.3 0.0 +SmryBio_1986 56971.7 0.0 +SmryBio_1987 50172 0.0 +SmryBio_1988 43563.9 0.0 +SmryBio_1989 38201.2 0.0 +SmryBio_1990 33599.7 0.0 +SmryBio_1991 30396 0.0 +SmryBio_1992 27569.4 0.0 +SmryBio_1993 26437.1 0.0 +SmryBio_1994 24859.1 0.0 +SmryBio_1995 23406.7 0.0 +SmryBio_1996 21510 0.0 +SmryBio_1997 20245 0.0 +SmryBio_1998 20289.3 0.0 +SmryBio_1999 20002.3 0.0 +SmryBio_2000 19506.5 0.0 +SmryBio_2001 19035 0.0 +SmryBio_2002 18260.6 0.0 +SmryBio_2003 20188.1 0.0 +SmryBio_2004 21930.9 0.0 +SmryBio_2005 23527.3 0.0 +SmryBio_2006 25010.3 0.0 +SmryBio_2007 26414.3 0.0 +SmryBio_2008 27810.9 0.0 +SmryBio_2009 29220.1 0.0 +SmryBio_2010 30614.7 0.0 +SmryBio_2011 32005.5 0.0 #_survey_stdev 0 #_Biomass -TotBio_Virgin 124948 0.0 -TotBio_Initial 124948 0.0 -TotBio_1971 124947 0.0 -TotBio_1972 124822 0.0 -TotBio_1973 124403 0.0 -TotBio_1974 122987 0.0 -TotBio_1975 121588 0.0 -TotBio_1976 119264 0.0 -TotBio_1977 116348 0.0 -TotBio_1978 112542 0.0 -TotBio_1979 108316 0.0 -TotBio_1980 103343 0.0 -TotBio_1981 96836.4 0.0 -TotBio_1982 88660.6 0.0 -TotBio_1983 80607.4 0.0 -TotBio_1984 72546 0.0 -TotBio_1985 64845.6 0.0 -TotBio_1986 57521 0.0 -TotBio_1987 50557.3 0.0 -TotBio_1988 43955.7 0.0 -TotBio_1989 38422.2 0.0 -TotBio_1990 34078.2 0.0 -TotBio_1991 30546 0.0 -TotBio_1992 27786.7 0.0 -TotBio_1993 26559.4 0.0 -TotBio_1994 25185.2 0.0 -TotBio_1995 23534 0.0 -TotBio_1996 22002.7 0.0 -TotBio_1997 20719.3 0.0 -TotBio_1998 20424.4 0.0 -TotBio_1999 20105.3 0.0 -TotBio_2000 19735.3 0.0 -TotBio_2001 19177.9 0.0 -TotBio_2002 18470.2 0.0 -TotBio_2003 20421.3 0.0 -TotBio_2004 22181.7 0.0 -TotBio_2005 23790.8 0.0 -TotBio_2006 25282.3 0.0 -TotBio_2007 26691.9 0.0 -TotBio_2008 28092.8 0.0 -TotBio_2009 29505.9 0.0 -TotBio_2010 30904.2 0.0 -TotBio_2011 32298.7 0.0 +TotBio_Virgin 124901 0.0 +TotBio_Initial 124901 0.0 +TotBio_1971 124899 0.0 +TotBio_1972 124774 0.0 +TotBio_1973 124354 0.0 +TotBio_1974 122937 0.0 +TotBio_1975 121537 0.0 +TotBio_1976 119213 0.0 +TotBio_1977 116296 0.0 +TotBio_1978 112489 0.0 +TotBio_1979 108263 0.0 +TotBio_1980 103290 0.0 +TotBio_1981 96784 0.0 +TotBio_1982 88609.7 0.0 +TotBio_1983 80558.3 0.0 +TotBio_1984 72499.2 0.0 +TotBio_1985 64801.9 0.0 +TotBio_1986 57480.9 0.0 +TotBio_1987 50521 0.0 +TotBio_1988 43923.3 0.0 +TotBio_1989 38393.2 0.0 +TotBio_1990 34052.2 0.0 +TotBio_1991 30522.2 0.0 +TotBio_1992 27764.7 0.0 +TotBio_1993 26538.5 0.0 +TotBio_1994 25165.4 0.0 +TotBio_1995 23515.1 0.0 +TotBio_1996 21984.6 0.0 +TotBio_1997 20702.1 0.0 +TotBio_1998 20408 0.0 +TotBio_1999 20089.7 0.0 +TotBio_2000 19720.4 0.0 +TotBio_2001 19163.7 0.0 +TotBio_2002 18456.8 0.0 +TotBio_2003 20408.8 0.0 +TotBio_2004 22171.5 0.0 +TotBio_2005 23783.1 0.0 +TotBio_2006 25277.6 0.0 +TotBio_2007 26690.3 0.0 +TotBio_2008 28094.5 0.0 +TotBio_2009 29510.8 0.0 +TotBio_2010 30912.3 0.0 +TotBio_2011 32309.8 0.0 TotCatch_Virgin 0 0.0 TotCatch_Initial 0 0.0 TotCatch_1971 0 0.0 @@ -516,13 +513,13 @@ TotCatch_1998 3000 0.0 TotCatch_1999 3000 0.0 TotCatch_2000 3000 0.0 TotCatch_2001 3000 0.0 -TotCatch_2002 0.0908578 0.0 -TotCatch_2003 195.872 0.0 -TotCatch_2004 380.852 0.0 -TotCatch_2005 559.955 0.0 -TotCatch_2006 723.781 0.0 -TotCatch_2007 822.011 0.0 -TotCatch_2008 902.094 0.0 -TotCatch_2009 1007.63 0.0 -TotCatch_2010 1093.48 0.0 -TotCatch_2011 1193.42 0.0 +TotCatch_2002 0.0907123 0.0 +TotCatch_2003 194.963 0.0 +TotCatch_2004 380.124 0.0 +TotCatch_2005 559.243 0.0 +TotCatch_2006 723.134 0.0 +TotCatch_2007 821.607 0.0 +TotCatch_2008 901.945 0.0 +TotCatch_2009 1007.73 0.0 +TotCatch_2010 1093.85 0.0 +TotCatch_2011 1194.05 0.0 diff --git a/models/Empirical_Wtatage_Age_Selex/warning.sso b/models/Empirical_Wtatage_Age_Selex/warning.sso index 7f0d247..79ef316 100644 --- a/models/Empirical_Wtatage_Age_Selex/warning.sso +++ b/models/Empirical_Wtatage_Age_Selex/warning.sso @@ -1,4 +1,2 @@ -Warning 1 : fishing fleet: 1 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month -Note 1 Suggestion: This model has just one settlement event. Changing to recr_dist_method 4 and removing the recruitment distribution parameters at the end of the MG parms section (below growth parameters) will produce identical results and simplify the model. -Note 2 Information: A revised protocol for the Fcast_yr specification is available and recommended. - 1 warning and 2 notes +Note 1 Information: A revised protocol for the Fcast_yr specification is available and recommended. + 1 note diff --git a/models/Hake_2018/2018hake_control.SS b/models/Hake_2018/2018hake_control.SS index ec2fda6..48407d7 100644 --- a/models/Hake_2018/2018hake_control.SS +++ b/models/Hake_2018/2018hake_control.SS @@ -14,7 +14,7 @@ #_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # -2 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) +4 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) 1 # not yet implemented; Future usage: Spawner-Recruitment: 1=global; 2=by area 1 # number of recruitment settlement assignments 0 # unused option @@ -88,9 +88,6 @@ -3 3 0 0 99 0 -50 0 0 0 0 0 0 0 # Eggs/kg_slope_wt_Fem_GP_1 # Hermaphroditism # Recruitment Distribution - 0 2 1 1 99 0 -50 0 0 0 0 0 0 0 # RecrDist_GP_1 - 0 2 1 1 99 0 -50 0 0 0 0 0 0 0 # RecrDist_Area_1 - 0 2 1 1 99 0 -50 0 0 0 0 0 0 0 # RecrDist_month_1 # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement @@ -112,7 +109,7 @@ 0 # 0/1 to use steepness in initial equ recruitment calculation 0 # future feature: 0/1 to make realized sigmaR a function of SR curvature #_ LO HI INIT PRIOR PR_SD PR_type PHASE env-var use_dev dev_mnyr dev_mxyr dev_PH Block Blk_Fxn # parm_name - 13 17 14.5614 15 99 0 1 0 0 0 0 0 0 0 # SR_LN(R0) + 13 17 16 15 99 0 1 0 0 0 0 0 0 0 # SR_LN(R0) 0.2 1 0.861909 0.777 0.113 2 4 0 0 0 0 0 0 0 # SR_BH_steep 1 1.6 1.4 1.1 99 0 -6 0 0 0 0 0 0 0 # SR_sigmaR -5 5 0 0 99 0 -50 0 0 0 0 0 0 0 # SR_regime diff --git a/models/Hake_2018/ss.par b/models/Hake_2018/ss.par index 6854a63..0fb2ed7 100644 --- a/models/Hake_2018/ss.par +++ b/models/Hake_2018/ss.par @@ -1,8 +1,8 @@ -# Number of parameters = 224 Objective function value = 1867.83628752837 Maximum gradient component = 1.21420764356123e-05 +# Number of parameters = 224 Objective function value = 1867.83628752837 Maximum gradient component = 4.97365460324780e-05 # dummy_parm: 1.00000000000 # MGparm[1]: -0.213686012884 +0.213686014783 # MGparm[2]: 5.00000000000 # MGparm[3]: @@ -28,17 +28,11 @@ # MGparm[13]: 1.00000000000 # MGparm[14]: -1.00000000000 -# MGparm[15]: -1.00000000000 -# MGparm[16]: -1.00000000000 -# MGparm[17]: 0.500000000000 # SR_parm[1]: -14.5613704523 +14.5613704732 # SR_parm[2]: -0.861908587892 +0.861908592688 # SR_parm[3]: 1.40000000000 # SR_parm[4]: @@ -46,29 +40,29 @@ # SR_parm[5]: 0.00000000000 # recdev_early: - -0.652158398800 -0.235639633992 -0.279309341614 -0.329063754293 -0.385210749215 -0.447967179844 -0.516523621473 -0.593691343426 -0.674841633905 -0.757133331676 -0.842990298154 -0.926225218980 -1.00457761039 -1.06972964630 -1.10329147490 -1.07723729385 -0.966061228619 -0.800414838786 -0.551745861613 -0.205043130638 -0.101221733392 0.791404152671 0.562395691640 -0.413666260302 + -0.652158255869 -0.235639599638 -0.279309321230 -0.329063809633 -0.385210780628 -0.447967204035 -0.516523561108 -0.593691454405 -0.674841743888 -0.757133271486 -0.842990171645 -0.926225294385 -1.00457768454 -1.06972930855 -1.10329170456 -1.07723707929 -0.966061291047 -0.800414947444 -0.551745788047 -0.205043135368 -0.101221768719 0.791404176847 0.562395665832 -0.413666187096 # recdev1: - 1.82571641234 -0.192694028240 -0.739377970848 1.54439502140 -1.06490692602 0.382804444672 -1.61659697317 1.70875106749 -2.06718137376 0.150865087335 2.74609331753 -1.45730997744 -1.39626882298 -0.803723883493 2.50865812947 -2.12682289929 -1.76929458417 1.75506531695 0.684724205663 -2.00698108321 1.35957417251 0.205055066092 -1.94598613692 1.10207232804 1.16315821788 0.244120841156 0.593068943940 0.0123531117313 0.652865186127 2.55535823896 -0.955923216912 0.174650859680 -3.41840825077 0.460271228633 -2.43790797312 0.914979666760 0.648703202374 -3.67234437649 1.62022030451 0.244874065234 2.54510927726 -0.794883174108 0.247319606852 -0.775699895751 2.00364422684 -1.75939484693 0.947234846187 + 1.82571641030 -0.192694007863 -0.739377982178 1.54439502790 -1.06490691589 0.382804445448 -1.61659696322 1.70875106883 -2.06718129789 0.150865079777 2.74609331987 -1.45730999837 -1.39626882586 -0.803723886642 2.50865812888 -2.12682288738 -1.76929458930 1.75506531451 0.684724197365 -2.00698105652 1.35957416719 0.205055059962 -1.94598610301 1.10207232063 1.16315820993 0.244120831290 0.593068936513 0.0123531026373 0.652865178313 2.55535823007 -0.955923216773 0.174650849647 -3.41840824062 0.460271222441 -2.43790797852 0.914979659317 0.648703193449 -3.67234437998 1.62022029440 0.244874060717 2.54510927083 -0.794883185168 0.247319606481 -0.775699884029 2.00364422144 -1.75939485706 0.947234848135 # Fcast_recruitments: 0.00000000000 0.00000000000 0.00000000000 0.00000000000 # Q_parm[1]: -0.127307927886 +0.127307918123 # Q_parm[2]: -0.257244665977 +0.257244655914 # selparm[1]: -1000.00000000 # selparm[2]: 0.00000000000 # selparm[3]: -2.48649048623 +2.48649044957 # selparm[4]: -0.928255818023 +0.928255821043 # selparm[5]: -0.392144155865 +0.392144155626 # selparm[6]: -0.214365319018 +0.214365320325 # selparm[7]: -0.475472968962 +0.475472970736 # selparm[8]: 0.00000000000 # selparm[9]: @@ -104,13 +98,13 @@ # selparm[24]: 0.00000000000 # selparm[25]: -0.568619229290 +0.568619233251 # selparm[26]: --0.216172189182 +-0.216172186732 # selparm[27]: -0.305285676048 +0.305285674611 # selparm[28]: -0.373828984897 +0.373828981998 # selparm[29]: 0.00000000000 # selparm[30]: @@ -140,7 +134,7 @@ # selparm[42]: 0.00000000000 # selparm[43]: --0.189215445705 +-0.189215445771 # selparm[44]: 2.42702000000 # selparm[45]: @@ -164,14 +158,14 @@ # selparm[54]: 0.00000000000 # parm_dev[1]: - 0.592354003597 -0.0215713441769 -0.0174071795523 0.0654066534219 -0.294918360371 0.494571855293 0.0560868025089 0.216798686136 1.12413075362 0.622037522903 0.0304444270077 0.0188383161191 -0.00360741665298 0.265221624044 -0.00505694229067 1.00298319341 0.623543206750 -0.0245482767911 0.470303255572 1.03984738396 0.0271776099742 0.108823164929 0.161673847539 0.424726091383 -0.645163074303 -0.0192437979833 -0.878768541999 + 0.592354044248 -0.0215713845584 -0.0174075327542 0.0654067099370 -0.294918310926 0.494571873690 0.0560868302833 0.216798693957 1.12413078238 0.622037553673 0.0304447635447 0.0188383111787 -0.00360713071727 0.265221429239 -0.00505714264843 1.00298317183 0.623543231753 -0.0245482905774 0.470303274543 1.03984741738 0.0271776387831 0.108823202270 0.161673900843 0.424726130522 -0.645163059144 -0.0192437900918 -0.878768509417 # parm_dev[2]: - 0.335392580816 0.786875667899 0.788958253547 0.0998808529114 0.208178328727 -0.409939189705 1.26400138094 0.918306709368 -0.179412693331 0.771852586111 0.932203703501 0.672251177593 0.644534343067 0.366935483005 0.587010826119 -0.615109068950 0.348454116830 0.355019511752 0.707845603044 0.118071627086 1.06924841520 0.129173928799 0.872687500550 0.299833315657 0.366352157692 -1.05567697263 -0.186412692255 + 0.335392564632 0.786875701820 0.788958247659 0.0998808284946 0.208178357715 -0.409939189620 1.26400138306 0.918306712854 -0.179412695048 0.771852584617 0.932203704014 0.672251192051 0.644534326306 0.366935681918 0.587011569877 -0.615109029920 0.348454099000 0.355019510208 0.707845606039 0.118071655198 1.06924840815 0.129173925501 0.872687487839 0.299833325746 0.366352161850 -1.05567698692 -0.186412701689 # parm_dev[3]: - -0.836257137448 -0.160481297014 0.0604249591469 0.847670456661 0.236107124375 -0.263792605456 -0.132351314466 -0.613554187434 0.107825704461 -0.192512999917 0.323373882900 0.555672333541 0.595630408020 0.667786043279 0.637370104809 0.0501378499085 -0.264432023804 -0.524151096793 -0.136758737711 0.464490565549 -0.689207325525 0.220667038529 -0.263576812584 -0.285405658637 -0.0131412527259 0.168544464211 -0.0996912940674 + -0.836257137226 -0.160481331019 0.0604250132038 0.847670465738 0.236107088021 -0.263792691411 -0.132351312295 -0.613554191387 0.107825708096 -0.192513001240 0.323373883295 0.555672334401 0.595630426379 0.667786035670 0.637369375874 0.0501379734754 -0.264432005359 -0.524151107732 -0.136758738759 0.464490537353 -0.689207301339 0.220667040090 -0.263576811921 -0.285405663702 -0.0131412424508 0.168544472865 -0.0996913020630 # parm_dev[4]: - -0.0369557444824 -0.505815486477 -0.0415494566757 -0.123593078993 0.706660281972 -0.0856415960781 -0.374171982460 0.361412538061 -0.391131238999 0.185572091877 -0.179539513482 0.174455650597 0.278662635374 -0.644593823824 0.399254058306 0.144838822591 -0.164821128006 0.400205430672 -0.351539882518 -0.420194106547 -0.188218309660 -0.469697618094 -2.35565040949e-05 -0.0430091302559 0.0545444288257 -0.0590339379751 0.00443620404456 + -0.0369558504855 -0.505815486753 -0.0415495116093 -0.123593147234 0.706660285096 -0.0856415014199 -0.374172001589 0.361412539684 -0.391131242349 0.185572093635 -0.179539512374 0.174455649377 0.278662634405 -0.644593815376 0.399254063020 0.144838697951 -0.164821184325 0.400205441994 -0.351539901293 -0.420194107835 -0.188218338412 -0.469697159628 -2.35576893388e-05 -0.0430091326213 0.0545444236542 -0.0590339273201 0.00443621016831 # parm_dev[5]: - -0.155168701206 0.0856562081780 -0.441156073485 0.105777990338 -0.126961085242 0.351942429243 0.157854261295 -0.486165302733 -0.236634687178 -0.0712506499769 -0.235559200753 -0.449424154579 -0.263694853074 -0.121808303512 -0.557894401657 -0.346537716462 -0.00502299384184 -0.177661887412 0.174911569219 -0.581363315857 -0.493820966918 -0.344712114393 0.0826472267013 0.00834964011994 -0.503420489920 -0.196723076773 0.215695262879 + -0.155168597662 0.0856562077108 -0.441156070915 0.105778055394 -0.126961085216 0.351942417508 0.157854277882 -0.486165304779 -0.236634690032 -0.0712506514608 -0.235559202038 -0.449424155028 -0.263694854988 -0.121808305592 -0.557894397336 -0.346537712432 -0.00502293837269 -0.177661888621 0.174911586359 -0.581363318958 -0.493820970000 -0.344712575824 0.0826472257492 0.00834964077544 -0.503420494253 -0.196723087565 0.215695263222 # checksum999: 999.000000000 diff --git a/models/Hake_2018/ss_summary.sso b/models/Hake_2018/ss_summary.sso index ef68592..fa4e30d 100644 --- a/models/Hake_2018/ss_summary.sso +++ b/models/Hake_2018/ss_summary.sso @@ -1,8 +1,8 @@ #V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 2018hake_data.SS #_DataFile 2018hake_control.SS #_Control -Run_Date: Tue Oct 31 16:38:59 2023 -Final_phase: 5 N_iterations: 1606 +Run_Date: Wed Nov 1 09:37:16 2023 +Final_phase: 5 N_iterations: 1564 #_LIKELIHOOD Label logL*Lambda TOTAL_LogL 1867.84 @@ -33,9 +33,6 @@ Mat50%_Fem_GP_1 36.89 0 Fix 0.867174 Mat_slope_Fem_GP_1 -0.48 0 Fix 0.42 Eggs/kg_inter_Fem_GP_1 1 0 Fix 0.666667 Eggs/kg_slope_wt_Fem_GP_1 0 0 Fix 0.5 -RecrDist_GP_1 1 0 Fix 0.5 -RecrDist_Area_1 1 0 Fix 0.5 -RecrDist_month_1 1 0 Fix 0.5 CohortGrowDev 1 0 Fix 0.0909091 FracFemale_GP_1 0.5 0 Fix 0.499999 #_SPAWN_RECR @@ -87,7 +84,7 @@ Main_RecrDev_1985 -2.12682 0.76206 Act 0.322765 Main_RecrDev_1986 -1.76929 0.707565 Act 0.352559 Main_RecrDev_1987 1.75507 0.131362 Act 0.646255 Main_RecrDev_1988 0.684724 0.220529 Act 0.55706 -Main_RecrDev_1989 -2.00698 0.733695 Act 0.332752 +Main_RecrDev_1989 -2.00698 0.733694 Act 0.332752 Main_RecrDev_1990 1.35957 0.134024 Act 0.613298 Main_RecrDev_1991 0.205055 0.241828 Act 0.517088 Main_RecrDev_1992 -1.94599 0.726522 Act 0.337834 @@ -179,8 +176,8 @@ AgeSel_P7_Fishery(1)_dev_se 1.4 0 Fix 0.699985 AgeSel_P7_Fishery(1)_dev_autocorr 0 0 Fix 0.5 #_Parm_Dev AgeSel_P3_Fishery(1)_DEVadd_1991 0.592354 0.83569 ACT 0.529618 -AgeSel_P3_Fishery(1)_DEVadd_1992 -0.0215713 0.953217 ACT 0.498921 -AgeSel_P3_Fishery(1)_DEVadd_1993 -0.0174072 1.00947 ACT 0.49913 +AgeSel_P3_Fishery(1)_DEVadd_1992 -0.0215714 0.953217 ACT 0.498921 +AgeSel_P3_Fishery(1)_DEVadd_1993 -0.0174075 1.00947 ACT 0.49913 AgeSel_P3_Fishery(1)_DEVadd_1994 0.0654067 0.870618 ACT 0.50327 AgeSel_P3_Fishery(1)_DEVadd_1995 -0.294918 0.922262 ACT 0.485254 AgeSel_P3_Fishery(1)_DEVadd_1996 0.494572 0.779876 ACT 0.524729 @@ -188,11 +185,11 @@ AgeSel_P3_Fishery(1)_DEVadd_1997 0.0560868 0.905054 ACT 0.502804 AgeSel_P3_Fishery(1)_DEVadd_1998 0.216799 0.866416 ACT 0.51084 AgeSel_P3_Fishery(1)_DEVadd_1999 1.12413 0.651795 ACT 0.556207 AgeSel_P3_Fishery(1)_DEVadd_2000 0.622038 0.551666 ACT 0.531102 -AgeSel_P3_Fishery(1)_DEVadd_2001 0.0304444 0.952914 ACT 0.501522 +AgeSel_P3_Fishery(1)_DEVadd_2001 0.0304448 0.952914 ACT 0.501522 AgeSel_P3_Fishery(1)_DEVadd_2002 0.0188383 0.908074 ACT 0.500942 -AgeSel_P3_Fishery(1)_DEVadd_2003 -0.00360742 1.00247 ACT 0.49982 -AgeSel_P3_Fishery(1)_DEVadd_2004 0.265222 0.826085 ACT 0.513261 -AgeSel_P3_Fishery(1)_DEVadd_2005 -0.00505694 1.00289 ACT 0.499747 +AgeSel_P3_Fishery(1)_DEVadd_2003 -0.00360713 1.00247 ACT 0.49982 +AgeSel_P3_Fishery(1)_DEVadd_2004 0.265221 0.826085 ACT 0.513261 +AgeSel_P3_Fishery(1)_DEVadd_2005 -0.00505714 1.00289 ACT 0.499747 AgeSel_P3_Fishery(1)_DEVadd_2006 1.00298 0.837881 ACT 0.550149 AgeSel_P3_Fishery(1)_DEVadd_2007 0.623543 0.681573 ACT 0.531177 AgeSel_P3_Fishery(1)_DEVadd_2008 -0.0245483 1.017 ACT 0.498773 @@ -208,7 +205,7 @@ AgeSel_P3_Fishery(1)_DEVadd_2017 -0.878769 0.793299 ACT 0.456062 AgeSel_P4_Fishery(1)_DEVadd_1991 0.335393 0.878481 ACT 0.51677 AgeSel_P4_Fishery(1)_DEVadd_1992 0.786876 0.847926 ACT 0.539344 AgeSel_P4_Fishery(1)_DEVadd_1993 0.788958 0.632632 ACT 0.539448 -AgeSel_P4_Fishery(1)_DEVadd_1994 0.0998809 0.848011 ACT 0.504994 +AgeSel_P4_Fishery(1)_DEVadd_1994 0.0998808 0.848011 ACT 0.504994 AgeSel_P4_Fishery(1)_DEVadd_1995 0.208178 0.750714 ACT 0.510409 AgeSel_P4_Fishery(1)_DEVadd_1996 -0.409939 0.327468 ACT 0.479503 AgeSel_P4_Fishery(1)_DEVadd_1997 1.264 0.574826 ACT 0.5632 @@ -218,8 +215,8 @@ AgeSel_P4_Fishery(1)_DEVadd_2000 0.771853 0.387608 ACT 0.538593 AgeSel_P4_Fishery(1)_DEVadd_2001 0.932204 0.232052 ACT 0.54661 AgeSel_P4_Fishery(1)_DEVadd_2002 0.672251 0.660753 ACT 0.533613 AgeSel_P4_Fishery(1)_DEVadd_2003 0.644534 0.727428 ACT 0.532227 -AgeSel_P4_Fishery(1)_DEVadd_2004 0.366935 0.795153 ACT 0.518347 -AgeSel_P4_Fishery(1)_DEVadd_2005 0.587011 0.735075 ACT 0.529351 +AgeSel_P4_Fishery(1)_DEVadd_2004 0.366936 0.795153 ACT 0.518347 +AgeSel_P4_Fishery(1)_DEVadd_2005 0.587012 0.735075 ACT 0.529351 AgeSel_P4_Fishery(1)_DEVadd_2006 -0.615109 0.843954 ACT 0.469245 AgeSel_P4_Fishery(1)_DEVadd_2007 0.348454 0.664744 ACT 0.517423 AgeSel_P4_Fishery(1)_DEVadd_2008 0.35502 0.233058 ACT 0.517751 @@ -227,7 +224,7 @@ AgeSel_P4_Fishery(1)_DEVadd_2009 0.707846 0.693864 ACT 0.535392 AgeSel_P4_Fishery(1)_DEVadd_2010 0.118072 0.655675 ACT 0.505904 AgeSel_P4_Fishery(1)_DEVadd_2011 1.06925 0.383841 ACT 0.553462 AgeSel_P4_Fishery(1)_DEVadd_2012 0.129174 0.240633 ACT 0.506459 -AgeSel_P4_Fishery(1)_DEVadd_2013 0.872688 0.546583 ACT 0.543634 +AgeSel_P4_Fishery(1)_DEVadd_2013 0.872687 0.546583 ACT 0.543634 AgeSel_P4_Fishery(1)_DEVadd_2014 0.299833 0.416207 ACT 0.514992 AgeSel_P4_Fishery(1)_DEVadd_2015 0.366352 0.538037 ACT 0.518318 AgeSel_P4_Fishery(1)_DEVadd_2016 -1.05568 0.437972 ACT 0.447216 @@ -246,8 +243,8 @@ AgeSel_P5_Fishery(1)_DEVadd_2001 0.323374 0.312051 ACT 0.516169 AgeSel_P5_Fishery(1)_DEVadd_2002 0.555672 0.213324 ACT 0.527784 AgeSel_P5_Fishery(1)_DEVadd_2003 0.59563 0.596847 ACT 0.529781 AgeSel_P5_Fishery(1)_DEVadd_2004 0.667786 0.428628 ACT 0.533389 -AgeSel_P5_Fishery(1)_DEVadd_2005 0.63737 0.729126 ACT 0.531868 -AgeSel_P5_Fishery(1)_DEVadd_2006 0.0501378 0.68438 ACT 0.502507 +AgeSel_P5_Fishery(1)_DEVadd_2005 0.637369 0.729126 ACT 0.531868 +AgeSel_P5_Fishery(1)_DEVadd_2006 0.050138 0.68438 ACT 0.502507 AgeSel_P5_Fishery(1)_DEVadd_2007 -0.264432 0.667332 ACT 0.486778 AgeSel_P5_Fishery(1)_DEVadd_2008 -0.524151 0.599243 ACT 0.473792 AgeSel_P5_Fishery(1)_DEVadd_2009 -0.136759 0.194416 ACT 0.493162 @@ -256,15 +253,15 @@ AgeSel_P5_Fishery(1)_DEVadd_2011 -0.689207 0.648165 ACT 0.46554 AgeSel_P5_Fishery(1)_DEVadd_2012 0.220667 0.251875 ACT 0.511033 AgeSel_P5_Fishery(1)_DEVadd_2013 -0.263577 0.252487 ACT 0.486821 AgeSel_P5_Fishery(1)_DEVadd_2014 -0.285406 0.321094 ACT 0.48573 -AgeSel_P5_Fishery(1)_DEVadd_2015 -0.0131413 0.456033 ACT 0.499343 +AgeSel_P5_Fishery(1)_DEVadd_2015 -0.0131412 0.456033 ACT 0.499343 AgeSel_P5_Fishery(1)_DEVadd_2016 0.168544 0.487145 ACT 0.508427 AgeSel_P5_Fishery(1)_DEVadd_2017 -0.0996913 0.474128 ACT 0.495015 -AgeSel_P6_Fishery(1)_DEVadd_1991 -0.0369557 0.734077 ACT 0.498152 +AgeSel_P6_Fishery(1)_DEVadd_1991 -0.0369559 0.734077 ACT 0.498152 AgeSel_P6_Fishery(1)_DEVadd_1992 -0.505815 0.350189 ACT 0.474709 -AgeSel_P6_Fishery(1)_DEVadd_1993 -0.0415495 0.736241 ACT 0.497923 +AgeSel_P6_Fishery(1)_DEVadd_1993 -0.0415495 0.736241 ACT 0.497922 AgeSel_P6_Fishery(1)_DEVadd_1994 -0.123593 0.672926 ACT 0.49382 AgeSel_P6_Fishery(1)_DEVadd_1995 0.70666 0.518125 ACT 0.535333 -AgeSel_P6_Fishery(1)_DEVadd_1996 -0.0856416 0.711651 ACT 0.495718 +AgeSel_P6_Fishery(1)_DEVadd_1996 -0.0856415 0.711651 ACT 0.495718 AgeSel_P6_Fishery(1)_DEVadd_1997 -0.374172 0.639883 ACT 0.481291 AgeSel_P6_Fishery(1)_DEVadd_1998 0.361413 0.281486 ACT 0.518071 AgeSel_P6_Fishery(1)_DEVadd_1999 -0.391131 0.291581 ACT 0.480443 @@ -280,12 +277,12 @@ AgeSel_P6_Fishery(1)_DEVadd_2008 0.400205 0.602242 ACT 0.52001 AgeSel_P6_Fishery(1)_DEVadd_2009 -0.35154 0.628855 ACT 0.482423 AgeSel_P6_Fishery(1)_DEVadd_2010 -0.420194 0.203133 ACT 0.47899 AgeSel_P6_Fishery(1)_DEVadd_2011 -0.188218 0.653782 ACT 0.490589 -AgeSel_P6_Fishery(1)_DEVadd_2012 -0.469698 0.687865 ACT 0.476515 -AgeSel_P6_Fishery(1)_DEVadd_2013 -2.35565e-05 0.295309 ACT 0.499999 +AgeSel_P6_Fishery(1)_DEVadd_2012 -0.469697 0.687865 ACT 0.476515 +AgeSel_P6_Fishery(1)_DEVadd_2013 -2.35577e-05 0.295309 ACT 0.499999 AgeSel_P6_Fishery(1)_DEVadd_2014 -0.0430091 0.266634 ACT 0.49785 AgeSel_P6_Fishery(1)_DEVadd_2015 0.0545444 0.391896 ACT 0.502727 AgeSel_P6_Fishery(1)_DEVadd_2016 -0.0590339 0.49738 ACT 0.497048 -AgeSel_P6_Fishery(1)_DEVadd_2017 0.0044362 0.546723 ACT 0.500222 +AgeSel_P6_Fishery(1)_DEVadd_2017 0.00443621 0.546723 ACT 0.500222 AgeSel_P7_Fishery(1)_DEVadd_1991 -0.155169 0.720442 ACT 0.492242 AgeSel_P7_Fishery(1)_DEVadd_1992 0.0856562 0.213528 ACT 0.504283 AgeSel_P7_Fishery(1)_DEVadd_1993 -0.441156 0.368479 ACT 0.477942 @@ -295,19 +292,19 @@ AgeSel_P7_Fishery(1)_DEVadd_1996 0.351942 0.439358 ACT 0.517597 AgeSel_P7_Fishery(1)_DEVadd_1997 0.157854 0.62942 ACT 0.507893 AgeSel_P7_Fishery(1)_DEVadd_1998 -0.486165 0.214535 ACT 0.475692 AgeSel_P7_Fishery(1)_DEVadd_1999 -0.236635 0.198666 ACT 0.488168 -AgeSel_P7_Fishery(1)_DEVadd_2000 -0.0712506 0.303992 ACT 0.496437 +AgeSel_P7_Fishery(1)_DEVadd_2000 -0.0712507 0.303992 ACT 0.496437 AgeSel_P7_Fishery(1)_DEVadd_2001 -0.235559 0.218966 ACT 0.488222 AgeSel_P7_Fishery(1)_DEVadd_2002 -0.449424 0.331926 ACT 0.477529 AgeSel_P7_Fishery(1)_DEVadd_2003 -0.263695 0.247513 ACT 0.486815 AgeSel_P7_Fishery(1)_DEVadd_2004 -0.121808 0.157802 ACT 0.49391 AgeSel_P7_Fishery(1)_DEVadd_2005 -0.557894 0.44034 ACT 0.472105 AgeSel_P7_Fishery(1)_DEVadd_2006 -0.346538 0.175072 ACT 0.482673 -AgeSel_P7_Fishery(1)_DEVadd_2007 -0.00502299 0.676319 ACT 0.499749 +AgeSel_P7_Fishery(1)_DEVadd_2007 -0.00502294 0.676319 ACT 0.499749 AgeSel_P7_Fishery(1)_DEVadd_2008 -0.177662 0.156052 ACT 0.491117 AgeSel_P7_Fishery(1)_DEVadd_2009 0.174912 0.622289 ACT 0.508746 AgeSel_P7_Fishery(1)_DEVadd_2010 -0.581363 0.188944 ACT 0.470932 AgeSel_P7_Fishery(1)_DEVadd_2011 -0.493821 0.247078 ACT 0.475309 -AgeSel_P7_Fishery(1)_DEVadd_2012 -0.344712 0.687896 ACT 0.482764 +AgeSel_P7_Fishery(1)_DEVadd_2012 -0.344713 0.687896 ACT 0.482764 AgeSel_P7_Fishery(1)_DEVadd_2013 0.0826472 0.187018 ACT 0.504132 AgeSel_P7_Fishery(1)_DEVadd_2014 0.00834964 0.285547 ACT 0.500417 AgeSel_P7_Fishery(1)_DEVadd_2015 -0.50342 0.160684 ACT 0.474829 @@ -357,7 +354,7 @@ SSB_2002 2.71191e+06 300610 SSB_2003 2.86989e+06 280259 SSB_2004 2.44403e+06 209480 SSB_2005 1.96544e+06 159307 -SSB_2006 1.5947e+06 131772 +SSB_2006 1.5947e+06 131771 SSB_2007 1.25426e+06 114648 SSB_2008 1.15616e+06 120950 SSB_2009 1.03379e+06 124020 @@ -449,7 +446,7 @@ SPRratio_1980 0.29739 0.0803749 SPRratio_1981 0.430428 0.102122 SPRratio_1982 0.360852 0.088448 SPRratio_1983 0.312408 0.0758612 -SPRratio_1984 0.336817 0.0780402 +SPRratio_1984 0.336817 0.0780401 SPRratio_1985 0.274251 0.0641568 SPRratio_1986 0.390943 0.0783517 SPRratio_1987 0.448942 0.0826944 @@ -465,7 +462,7 @@ SPRratio_1996 0.832859 0.0932497 SPRratio_1997 0.876252 0.0887508 SPRratio_1998 0.986944 0.083816 SPRratio_1999 1.0691 0.0838043 -SPRratio_2000 0.836768 0.0896762 +SPRratio_2000 0.836768 0.0896761 SPRratio_2001 0.821492 0.090942 SPRratio_2002 0.594171 0.0842695 SPRratio_2003 0.550115 0.0812795 @@ -485,7 +482,7 @@ SPRratio_2016 0.852589 0.143161 SPRratio_2017 0.958261 0.138783 SPRratio_2018 1.05077 0.0433723 SPRratio_2019 1.05077 0.0434219 -SPRratio_2020 1.05077 0.0586481 +SPRratio_2020 1.05077 0.0586477 #_F Basis= _abs_F;_with_F=Exploit(bio) F_1966 0.0768729 0.0164222 F_1967 0.119839 0.0252391 @@ -541,7 +538,7 @@ F_2016 0.12861 0.0333503 F_2017 0.182143 0.0548313 F_2018 0.224533 0.0498114 F_2019 0.203962 0.0435711 -F_2020 0.208226 0.0611467 +F_2020 0.208226 0.0611468 #_Depletion Basis= 100%*Virgin_Biomass Bratio_1967 0.419576 0.0855564 Bratio_1968 0.405135 0.0849849 diff --git a/models/Hake_2018/starter.ss b/models/Hake_2018/starter.ss index f53e49f..82fb20e 100644 --- a/models/Hake_2018/starter.ss +++ b/models/Hake_2018/starter.ss @@ -29,7 +29,7 @@ 0 # N individual STD years #COND: vector of year values if N>0 -1e-05 # final convergence criteria (e.g. 1.0e-04) +1e-04 # final convergence criteria (e.g. 1.0e-04) 0 # retrospective year relative to end year (e.g. -4) 2 # min age for calc of summary biomass 1 # Depletion basis: denom is: 0=skip; 1=X*SPBvirgin; 2=X*SPBmsy; 3=X*SPB_styr; 4=X*SPB_endyr; 5=X*dyn_Bzero; values>=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) diff --git a/models/Hake_2018/warning.sso b/models/Hake_2018/warning.sso index b6f5e6a..da48d2c 100644 --- a/models/Hake_2018/warning.sso +++ b/models/Hake_2018/warning.sso @@ -1,6 +1,3 @@ -Note 1 Suggestion: This model has just one settlement event. Changing to recr_dist_method 4 and removing the recruitment distribution parameters at the end of the MG parms section (below growth parameters) will produce identical results and simplify the model. Warning 1 : Minimum pop size bin:_10; is > L at Amin for sex: 1; Gpat: 1; L= 5 -Warning 2 : 1st iteration warning: catch logL > 50% total logL; check configuration; suggest start with larger R0 -Warning 3 : Final gradient: 1.21421e-05 is larger than final_conv: 1e-05 -Note 2 Information: A revised protocol for the Fcast_yr specification is available and recommended. - 3 warnings and 2 notes +Note 1 Information: A revised protocol for the Fcast_yr specification is available and recommended. + 1 warning and 1 note diff --git a/models/Hake_2019_semi-parametric_selex/hake_control.ss b/models/Hake_2019_semi-parametric_selex/hake_control.ss index e392c34..dcf7319 100644 --- a/models/Hake_2019_semi-parametric_selex/hake_control.ss +++ b/models/Hake_2019_semi-parametric_selex/hake_control.ss @@ -14,7 +14,7 @@ #_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # -2 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) +4 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) 1 # not yet implemented; Future usage: Spawner-Recruitment: 1=global; 2=by area 1 # number of recruitment settlement assignments 0 # unused option @@ -88,9 +88,6 @@ -3 3 0 0 99 0 -50 0 0 0 0 0 0 0 # Eggs/kg_slope_wt_Fem_GP_1 # Hermaphroditism # Recruitment Distribution - 0 2 1 1 99 0 -50 0 0 0 0 0 0 0 # RecrDist_GP_1 - 0 2 1 1 99 0 -50 0 0 0 0 0 0 0 # RecrDist_Area_1 - 0 2 1 1 99 0 -50 0 0 0 0 0 0 0 # RecrDist_month_1 # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement @@ -112,7 +109,7 @@ 0 # 0/1 to use steepness in initial equ recruitment calculation 0 # future feature: 0/1 to make realized sigmaR a function of SR curvature #_ LO HI INIT PRIOR PR_SD PR_type PHASE env-var use_dev dev_mnyr dev_mxyr dev_PH Block Blk_Fxn # parm_name - 13 17 14.6661 15 99 0 1 0 0 0 0 0 0 0 # SR_LN(R0) + 13 17 16 15 99 0 1 0 0 0 0 0 0 0 # SR_LN(R0) 0.2 1 0.869251 0.777 0.113 2 4 0 0 0 0 0 0 0 # SR_BH_steep 1 1.6 1.4 1.1 99 0 -6 0 0 0 0 0 0 0 # SR_sigmaR -5 5 0 0 99 0 -50 0 0 0 0 0 0 0 # SR_regime diff --git a/models/Hake_2019_semi-parametric_selex/ss.par b/models/Hake_2019_semi-parametric_selex/ss.par index b08b2f3..12b5c5b 100644 --- a/models/Hake_2019_semi-parametric_selex/ss.par +++ b/models/Hake_2019_semi-parametric_selex/ss.par @@ -1,8 +1,8 @@ -# Number of parameters = 226 Objective function value = 2055.85459091088 Maximum gradient component = 2.25470688968011e-05 +# Number of parameters = 226 Objective function value = 2055.85459091089 Maximum gradient component = 9.58522489002526e-05 # dummy_parm: 1.00000000000 # MGparm[1]: -0.217969531749 +0.217969533634 # MGparm[2]: 5.00000000000 # MGparm[3]: @@ -28,17 +28,11 @@ # MGparm[13]: 1.00000000000 # MGparm[14]: -1.00000000000 -# MGparm[15]: -1.00000000000 -# MGparm[16]: -1.00000000000 -# MGparm[17]: 0.500000000000 # SR_parm[1]: -14.6660802265 +14.6660802164 # SR_parm[2]: -0.869250915613 +0.869250920758 # SR_parm[3]: 1.40000000000 # SR_parm[4]: @@ -46,29 +40,29 @@ # SR_parm[5]: 0.00000000000 # recdev_early: - -0.638726703669 -0.233326894765 -0.277590384349 -0.328171188957 -0.385398402534 -0.449502999307 -0.519459306745 -0.598238711324 -0.681494896531 -0.766235956714 -0.855078670530 -0.941696246195 -1.02321309183 -1.09211752571 -1.13008873442 -1.10767434764 -1.00084287482 -0.838852402777 -0.592852051707 -0.253496466209 -0.134136650886 0.751922455200 0.530934675241 -0.432697949280 + -0.638726346817 -0.233326799610 -0.277590385533 -0.328171171593 -0.385398276280 -0.449502905107 -0.519459204083 -0.598238313245 -0.681495979185 -0.766236362593 -0.855078684601 -0.941695164924 -1.02321336950 -1.09211767501 -1.13008950244 -1.10767324847 -1.00084329843 -0.838852103914 -0.592851977825 -0.253496505869 -0.134136429382 0.751922410978 0.530934792526 -0.432698020882 # recdev1: - 1.80415624164 -0.215577110374 -0.765808247815 1.51234704197 -1.08936325817 0.334433451396 -1.64759895809 1.65321544341 -2.10159166029 0.0961472604756 2.68656775871 -1.49328314474 -1.44258728940 -0.843936763522 2.45061345632 -2.16414449928 -1.80027267913 1.69445215946 0.659606516232 -2.12067205788 1.29926497665 0.145397092863 -2.16172702138 1.04896011450 1.10851618391 0.156047731233 0.546197651076 -0.0655828558166 0.565274093945 2.48383504595 -1.11512161616 0.0815090257442 -3.50209037113 0.372414648852 -2.42657602235 0.842201546279 0.583983163895 -3.50361832821 1.54185357227 0.230954961830 2.52032987766 -0.869476298504 -0.0844441260704 -1.05910616708 1.75541962902 -2.28633818274 2.17714984285 2.40806817001 + 1.80415627412 -0.215576989949 -0.765808298669 1.51234708353 -1.08936326612 0.334433495654 -1.64759901384 1.65321547725 -2.10159163225 0.0961473064762 2.68656778828 -1.49328322327 -1.44258730950 -0.843936676361 2.45061348378 -2.16414452927 -1.80027269762 1.69445218518 0.659606532887 -2.12067213576 1.29926499680 0.145397125164 -2.16172710436 1.04896013360 1.10851620301 0.156047742727 0.546197668907 -0.0655828423035 0.565274106429 2.48383505704 -1.11512157970 0.0815090377913 -3.50209040305 0.372414657778 -2.42657598928 0.842201550981 0.583983164750 -3.50361830960 1.54185357219 0.230954947834 2.52032986704 -0.869476303039 -0.0844441475871 -1.05910623848 1.75541959569 -2.28633824661 2.17714976856 2.40806811316 # Fcast_recruitments: 0.00000000000 0.00000000000 0.00000000000 0.00000000000 # Q_parm[1]: -0.0906703600390 +0.0906703807060 # Q_parm[2]: -0.254246721079 +0.254246717439 # selparm[1]: -1000.00000000 # selparm[2]: 0.00000000000 # selparm[3]: -2.58822730674 +2.58822733498 # selparm[4]: -0.938064641232 +0.938064632037 # selparm[5]: -0.391784878030 +0.391784872170 # selparm[6]: -0.218713164288 +0.218713181665 # selparm[7]: -0.447989346532 +0.447989341129 # selparm[8]: 0.00000000000 # selparm[9]: @@ -104,13 +98,13 @@ # selparm[24]: 0.00000000000 # selparm[25]: -0.639003292244 +0.639003296484 # selparm[26]: --0.274895413527 +-0.274895424212 # selparm[27]: -0.288126454820 +0.288126458730 # selparm[28]: -0.370800610515 +0.370800612480 # selparm[29]: 0.00000000000 # selparm[30]: @@ -140,9 +134,9 @@ # selparm[42]: 0.00000000000 # selparm[43]: --0.205574543531 +-0.205574528210 # selparm[44]: -2.39745022018 +2.39745050288 # selparm[45]: 1.00000000000 # selparm[46]: @@ -150,6 +144,6 @@ # selparm[47]: 0.00000000000 # parm_dev[1]: - -0.203846101679 0.102770722203 1.32337788727 0.155222566887 0.0932945499544 0.00730587024452 -0.358087320170 0.642735962074 0.494108860090 -0.175845019340 0.0162809123272 -0.562633502017 0.563068648179 0.0664517826488 0.503698730392 -0.448415953110 -0.183930738483 -0.956753950037 0.0495757232596 -0.171323710364 -0.0998802158159 -1.12671519712 -0.185230738027 -0.667451146166 0.222913155470 -0.268581522862 0.567642373442 -0.0339082793970 -0.143723875664 -0.454929190193 -0.320135034225 -1.09356642943 0.497724873165 0.284796772365 -0.281853212498 -0.212205522824 -0.372001106230 1.02856007492 0.0512447982791 0.632335028811 -0.673433559470 0.952034051525 0.635185192575 0.845493551402 0.246260094268 -1.40383602624 -0.860753920266 0.146691004854 -0.189610630760 0.150340195307 -0.139213026910 -1.16265274665 0.148450599828 0.563397835059 0.287868950970 -0.314577984453 -0.819070657072 -0.378684044248 0.410218365855 0.616890135718 0.00651737268996 -1.22427325605 -0.388165176524 0.000978002397478 0.416663152598 -0.364675080157 -0.102013133426 0.0675122313700 1.07775223120 0.123202619671 -0.00396348185449 -1.25242506244 -0.0939189967106 0.184814424555 0.769569571723 -0.448242640803 1.20657321216 0.147962581774 -0.0354644432621 0.441967658095 -0.549178633099 0.112955226333 0.434932345343 0.225769712688 -0.113470434962 0.0197617493725 -0.110155746665 0.402632524194 -0.584732909782 0.237232409097 -0.956283708175 -0.307985789428 0.329968684809 0.168509116490 -0.373183709605 -0.785390335201 0.597686619557 -0.162063683260 1.37951008216 0.730834509710 0.397978387998 0.0685476744161 1.86343216132 -0.195702448684 0.528539322465 0.00125670746253 0.557662350241 0.676137764721 1.07339705590 -0.0949787203760 -0.343456247565 -0.755567829571 0.233873672243 -0.159229945473 -0.107926840546 -0.291676349135 0.287002639082 0.440628137181 -0.000691141415246 -0.0692913880793 1.21939983655 -0.159142676071 0.896003706603 0.453242365552 0.598366787796 0.0282190536191 1.83746941662 0.147233213287 0.712447106051 0.237043904565 0.570701154609 0.0882531960688 0.418431941312 0.0507881462169 0.239491560331 + -0.203846091054 0.102770635077 1.32337789513 0.155222564061 0.0932945418185 0.00730578090661 -0.358087323394 0.642735983955 0.494108893350 -0.175845024969 0.0162795803520 -0.562633493746 0.563068645427 0.0664518499493 0.503698713549 -0.448415941097 -0.183930810745 -0.956753951846 0.0495757307026 -0.171323866407 -0.0998801901005 -1.12671519070 -0.185230756371 -0.667451104100 0.222913147435 -0.268581526369 0.567642355322 -0.0339082896856 -0.143723703606 -0.454929227875 -0.320135091562 -1.09356640924 0.497724869025 0.284796780718 -0.281853320267 -0.212205510149 -0.372001109228 1.02856008100 0.0512448079945 0.632335026377 -0.673433565626 0.952034037771 0.635185187569 0.845493564686 0.246260079883 -1.40383599971 -0.860753929861 0.146691013143 -0.189610625636 0.150340188458 -0.139213069252 -1.16265276399 0.148450605268 0.563397840379 0.287868935309 -0.314578145021 -0.819070752462 -0.378684048919 0.410218367378 0.616890107100 0.00651858099435 -1.22427326106 -0.388165240121 0.000978014598063 0.416663152262 -0.364675119371 -0.102013707943 0.0675122376538 1.07775222232 0.123202611756 -0.00396361379998 -1.25242505828 -0.0939188331569 0.184814427733 0.769569550002 -0.448242621724 1.20657309324 0.147962593185 -0.0354644016354 0.441967654010 -0.549178617938 0.112955218432 0.434932491139 0.225769719025 -0.113469944985 0.0197595018958 -0.110155744852 0.402632524998 -0.584732931326 0.237232409575 -0.956283678048 -0.307985861230 0.329968687600 0.168509121807 -0.373183688295 -0.785390204541 0.597686609224 -0.162063430137 1.37951009118 0.730834503702 0.397978392760 0.0685476719723 1.86343215253 -0.195701978498 0.528539311979 0.00125661735807 0.557662334838 0.676137763727 1.07339705049 -0.0949785685749 -0.343456224873 -0.755567865223 0.233873672901 -0.159229930527 -0.107926846119 -0.291676140018 0.287002639982 0.440628106964 -0.000691134336789 -0.0692913897737 1.21939985649 -0.159142630366 0.896003708915 0.453242330513 0.598366772782 0.0282185696198 1.83746941643 0.147233272397 0.712447122214 0.237043842250 0.570701213951 0.0882532423787 0.418431955622 0.0507882257804 0.239491545656 # checksum999: 999.000000000 diff --git a/models/Hake_2019_semi-parametric_selex/ss_summary.sso b/models/Hake_2019_semi-parametric_selex/ss_summary.sso index d6ede9f..4a172d1 100644 --- a/models/Hake_2019_semi-parametric_selex/ss_summary.sso +++ b/models/Hake_2019_semi-parametric_selex/ss_summary.sso @@ -1,8 +1,8 @@ #V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 hake_data.ss #_DataFile hake_control.ss #_Control -Run_Date: Tue Oct 31 16:39:32 2023 -Final_phase: 5 N_iterations: 1638 +Run_Date: Wed Nov 1 09:44:24 2023 +Final_phase: 5 N_iterations: 1553 #_LIKELIHOOD Label logL*Lambda TOTAL_LogL 2055.85 @@ -10,10 +10,10 @@ Catch 5.57145e-13 Survey -6.92221 Age_comp 1864.47 Recruitment 50.5728 -InitEQ_regime 5.25428e-32 +InitEQ_regime 0 Sum_recdevs -12.998 Forecast_Recruitment 0 -Parm_priors 0.364072 +Parm_priors 0.364073 Parm_softbounds 0 Parm_devs 147.369 F_Ballpark 0 @@ -33,38 +33,35 @@ Mat50%_Fem_GP_1 36.89 0 Fix 0.867174 Mat_slope_Fem_GP_1 -0.48 0 Fix 0.42 Eggs/kg_inter_Fem_GP_1 1 0 Fix 0.666667 Eggs/kg_slope_wt_Fem_GP_1 0 0 Fix 0.5 -RecrDist_GP_1 1 0 Fix 0.5 -RecrDist_Area_1 1 0 Fix 0.5 -RecrDist_month_1 1 0 Fix 0.5 CohortGrowDev 1 0 Fix 0.0909091 FracFemale_GP_1 0.5 0 Fix 0.499999 #_SPAWN_RECR SR_LN(R0) 14.6661 0.2222 Act 0.41652 -SR_BH_steep 0.869251 0.0947502 Act 0.836563 +SR_BH_steep 0.869251 0.0947501 Act 0.836563 SR_sigmaR 1.4 0 Fix 0.666666 SR_regime 0 0 Fix 0.5 SR_autocorr 0 0 Fix 0 -Early_InitAge_20 -0.638727 1.10988 Act 0.446773 +Early_InitAge_20 -0.638726 1.10988 Act 0.446773 Early_InitAge_19 -0.233327 1.26241 Act 0.480556 Early_InitAge_18 -0.27759 1.24063 Act 0.476867 Early_InitAge_17 -0.328171 1.21701 Act 0.472652 Early_InitAge_16 -0.385398 1.19174 Act 0.467883 Early_InitAge_15 -0.449503 1.16508 Act 0.462541 Early_InitAge_14 -0.519459 1.13768 Act 0.456712 -Early_InitAge_13 -0.598239 1.10892 Act 0.450147 -Early_InitAge_12 -0.681495 1.08025 Act 0.443209 +Early_InitAge_13 -0.598238 1.10892 Act 0.450147 +Early_InitAge_12 -0.681496 1.08025 Act 0.443209 Early_InitAge_11 -0.766236 1.05266 Act 0.436147 Early_InitAge_10 -0.855079 1.02541 Act 0.428743 -Early_InitAge_9 -0.941696 1.00015 Act 0.421525 +Early_InitAge_9 -0.941695 1.00015 Act 0.421525 Early_InitAge_8 -1.02321 0.977348 Act 0.414732 Early_InitAge_7 -1.09212 0.958051 Act 0.40899 -Early_InitAge_6 -1.13009 0.944194 Act 0.405826 +Early_InitAge_6 -1.13009 0.944195 Act 0.405826 Early_InitAge_5 -1.10767 0.935672 Act 0.407694 -Early_InitAge_4 -1.00084 0.930619 Act 0.416596 +Early_InitAge_4 -1.00084 0.93062 Act 0.416596 Early_InitAge_3 -0.838852 0.927962 Act 0.430096 Early_InitAge_2 -0.592852 0.915319 Act 0.450596 -Early_InitAge_1 -0.253496 0.817085 Act 0.478875 -Early_RecrDev_1966 -0.134137 0.923645 Act 0.488822 +Early_InitAge_1 -0.253497 0.817085 Act 0.478875 +Early_RecrDev_1966 -0.134136 0.923644 Act 0.488822 Early_RecrDev_1967 0.751922 0.466647 Act 0.56266 Early_RecrDev_1968 0.530935 0.461232 Act 0.544245 Early_RecrDev_1969 -0.432698 0.817131 Act 0.463942 @@ -95,7 +92,7 @@ Main_RecrDev_1993 1.04896 0.127168 Act 0.587413 Main_RecrDev_1994 1.10852 0.126797 Act 0.592376 Main_RecrDev_1995 0.156048 0.187058 Act 0.513004 Main_RecrDev_1996 0.546198 0.149344 Act 0.545516 -Main_RecrDev_1997 -0.0655829 0.207934 Act 0.494535 +Main_RecrDev_1997 -0.0655828 0.207934 Act 0.494535 Main_RecrDev_1998 0.565274 0.14346 Act 0.547106 Main_RecrDev_1999 2.48384 0.0880263 Act 0.706986 Main_RecrDev_2000 -1.11512 0.326069 Act 0.407073 @@ -177,13 +174,13 @@ Fishery_ARDEV_y1991_A2 0.102771 1.05046 ACT 0.505139 Fishery_ARDEV_y1991_A3 1.32338 0.371821 ACT 0.566169 Fishery_ARDEV_y1991_A4 0.155223 0.337434 ACT 0.507761 Fishery_ARDEV_y1991_A5 0.0932945 1.01984 ACT 0.504665 -Fishery_ARDEV_y1992_A1 0.00730587 0.957296 ACT 0.500365 +Fishery_ARDEV_y1992_A1 0.00730578 0.957296 ACT 0.500365 Fishery_ARDEV_y1992_A2 -0.358087 0.430589 ACT 0.482096 Fishery_ARDEV_y1992_A3 0.642736 1.27517 ACT 0.532137 Fishery_ARDEV_y1992_A4 0.494109 0.404444 ACT 0.524705 Fishery_ARDEV_y1992_A5 -0.175845 0.299287 ACT 0.491208 -Fishery_ARDEV_y1993_A1 0.0162809 1.0058 ACT 0.500814 -Fishery_ARDEV_y1993_A2 -0.562634 0.747827 ACT 0.471868 +Fishery_ARDEV_y1993_A1 0.0162796 1.0058 ACT 0.500814 +Fishery_ARDEV_y1993_A2 -0.562633 0.747827 ACT 0.471868 Fishery_ARDEV_y1993_A3 0.563069 0.306505 ACT 0.528153 Fishery_ARDEV_y1993_A4 0.0664518 1.01806 ACT 0.503323 Fishery_ARDEV_y1993_A5 0.503699 0.50804 ACT 0.525185 @@ -191,7 +188,7 @@ Fishery_ARDEV_y1994_A1 -0.448416 0.777185 ACT 0.477579 Fishery_ARDEV_y1994_A2 -0.183931 0.905539 ACT 0.490803 Fishery_ARDEV_y1994_A3 -0.956754 0.615369 ACT 0.452162 Fishery_ARDEV_y1994_A4 0.0495757 0.275619 ACT 0.502479 -Fishery_ARDEV_y1994_A5 -0.171324 0.932898 ACT 0.491434 +Fishery_ARDEV_y1994_A5 -0.171324 0.932899 ACT 0.491434 Fishery_ARDEV_y1995_A1 -0.0998802 0.798381 ACT 0.495006 Fishery_ARDEV_y1995_A2 -1.12672 0.556802 ACT 0.443664 Fishery_ARDEV_y1995_A3 -0.185231 0.8949 ACT 0.490738 @@ -232,19 +229,19 @@ Fishery_ARDEV_y2002_A2 -0.819071 0.737564 ACT 0.459046 Fishery_ARDEV_y2002_A3 -0.378684 0.21813 ACT 0.481066 Fishery_ARDEV_y2002_A4 0.410218 0.295493 ACT 0.520511 Fishery_ARDEV_y2002_A5 0.61689 0.469006 ACT 0.530844 -Fishery_ARDEV_y2003_A1 0.00651737 1.00266 ACT 0.500326 +Fishery_ARDEV_y2003_A1 0.00651858 1.00266 ACT 0.500326 Fishery_ARDEV_y2003_A2 -1.22427 0.610361 ACT 0.438786 Fishery_ARDEV_y2003_A3 -0.388165 0.685827 ACT 0.480592 -Fishery_ARDEV_y2003_A4 0.000978002 0.222661 ACT 0.500049 +Fishery_ARDEV_y2003_A4 0.000978015 0.222661 ACT 0.500049 Fishery_ARDEV_y2003_A5 0.416663 0.338345 ACT 0.520833 Fishery_ARDEV_y2004_A1 -0.364675 0.784492 ACT 0.481766 -Fishery_ARDEV_y2004_A2 -0.102013 0.953795 ACT 0.494899 +Fishery_ARDEV_y2004_A2 -0.102014 0.953795 ACT 0.494899 Fishery_ARDEV_y2004_A3 0.0675122 0.3595 ACT 0.503376 Fishery_ARDEV_y2004_A4 1.07775 0.505532 ACT 0.553888 Fishery_ARDEV_y2004_A5 0.123203 0.211943 ACT 0.50616 -Fishery_ARDEV_y2005_A1 -0.00396348 0.993624 ACT 0.499802 +Fishery_ARDEV_y2005_A1 -0.00396361 0.993624 ACT 0.499802 Fishery_ARDEV_y2005_A2 -1.25243 0.484941 ACT 0.437379 -Fishery_ARDEV_y2005_A3 -0.093919 0.949979 ACT 0.495304 +Fishery_ARDEV_y2005_A3 -0.0939188 0.949979 ACT 0.495304 Fishery_ARDEV_y2005_A4 0.184814 0.278153 ACT 0.509241 Fishery_ARDEV_y2005_A5 0.76957 0.652048 ACT 0.538478 Fishery_ARDEV_y2006_A1 -0.448243 0.655906 ACT 0.477588 @@ -257,7 +254,7 @@ Fishery_ARDEV_y2007_A2 0.112955 0.244595 ACT 0.505648 Fishery_ARDEV_y2007_A3 0.434932 0.940466 ACT 0.521747 Fishery_ARDEV_y2007_A4 0.22577 0.209587 ACT 0.511288 Fishery_ARDEV_y2007_A5 -0.11347 0.95231 ACT 0.494326 -Fishery_ARDEV_y2008_A1 0.0197617 1.00956 ACT 0.500988 +Fishery_ARDEV_y2008_A1 0.0197595 1.00956 ACT 0.500988 Fishery_ARDEV_y2008_A2 -0.110156 0.281142 ACT 0.494492 Fishery_ARDEV_y2008_A3 0.402633 0.19198 ACT 0.520132 Fishery_ARDEV_y2008_A4 -0.584733 0.833244 ACT 0.470763 @@ -269,7 +266,7 @@ Fishery_ARDEV_y2009_A4 0.168509 0.217545 ACT 0.508425 Fishery_ARDEV_y2009_A5 -0.373184 0.866989 ACT 0.481341 Fishery_ARDEV_y2010_A1 -0.78539 0.76331 ACT 0.46073 Fishery_ARDEV_y2010_A2 0.597687 0.239927 ACT 0.529884 -Fishery_ARDEV_y2010_A3 -0.162064 0.934986 ACT 0.491897 +Fishery_ARDEV_y2010_A3 -0.162063 0.934986 ACT 0.491897 Fishery_ARDEV_y2010_A4 1.37951 0.232905 ACT 0.568975 Fishery_ARDEV_y2010_A5 0.730835 0.259504 ACT 0.536542 Fishery_ARDEV_y2011_A1 0.397978 0.416775 ACT 0.519899 @@ -277,11 +274,11 @@ Fishery_ARDEV_y2011_A2 0.0685477 0.652662 ACT 0.503427 Fishery_ARDEV_y2011_A3 1.86343 0.213213 ACT 0.593172 Fishery_ARDEV_y2011_A4 -0.195702 0.927018 ACT 0.490215 Fishery_ARDEV_y2011_A5 0.528539 0.335752 ACT 0.526427 -Fishery_ARDEV_y2012_A1 0.00125671 0.969027 ACT 0.500063 +Fishery_ARDEV_y2012_A1 0.00125662 0.969027 ACT 0.500063 Fishery_ARDEV_y2012_A2 0.557662 0.226806 ACT 0.527883 Fishery_ARDEV_y2012_A3 0.676138 0.329627 ACT 0.533807 Fishery_ARDEV_y2012_A4 1.0734 0.219607 ACT 0.55367 -Fishery_ARDEV_y2012_A5 -0.0949787 0.95996 ACT 0.495251 +Fishery_ARDEV_y2012_A5 -0.0949786 0.95996 ACT 0.495251 Fishery_ARDEV_y2013_A1 -0.343456 0.788129 ACT 0.482827 Fishery_ARDEV_y2013_A2 -0.755568 0.667067 ACT 0.462222 Fishery_ARDEV_y2013_A3 0.233874 0.204905 ACT 0.511694 @@ -290,14 +287,14 @@ Fishery_ARDEV_y2013_A5 -0.107927 0.254584 ACT 0.494604 Fishery_ARDEV_y2014_A1 -0.291676 0.877329 ACT 0.485416 Fishery_ARDEV_y2014_A2 0.287003 0.346844 ACT 0.51435 Fishery_ARDEV_y2014_A3 0.440628 0.420359 ACT 0.522031 -Fishery_ARDEV_y2014_A4 -0.000691141 0.174397 ACT 0.499965 +Fishery_ARDEV_y2014_A4 -0.000691134 0.174397 ACT 0.499965 Fishery_ARDEV_y2014_A5 -0.0692914 0.376475 ACT 0.496535 Fishery_ARDEV_y2015_A1 1.2194 0.420531 ACT 0.56097 Fishery_ARDEV_y2015_A2 -0.159143 0.79305 ACT 0.492043 Fishery_ARDEV_y2015_A3 0.896004 0.316443 ACT 0.5448 Fishery_ARDEV_y2015_A4 0.453242 0.569139 ACT 0.522662 Fishery_ARDEV_y2015_A5 0.598367 0.205198 ACT 0.529918 -Fishery_ARDEV_y2016_A1 0.0282191 1.01231 ACT 0.501411 +Fishery_ARDEV_y2016_A1 0.0282186 1.01231 ACT 0.501411 Fishery_ARDEV_y2016_A2 1.83747 0.193153 ACT 0.591873 Fishery_ARDEV_y2016_A3 0.147233 0.56193 ACT 0.507362 Fishery_ARDEV_y2016_A4 0.712447 0.289157 ACT 0.535622 @@ -305,7 +302,7 @@ Fishery_ARDEV_y2016_A5 0.237044 0.603013 ACT 0.511852 Fishery_ARDEV_y2017_A1 0.570701 0.390783 ACT 0.528535 Fishery_ARDEV_y2017_A2 0.0882532 0.88659 ACT 0.504413 Fishery_ARDEV_y2017_A3 0.418432 0.188156 ACT 0.520922 -Fishery_ARDEV_y2017_A4 0.0507881 0.502528 ACT 0.502539 +Fishery_ARDEV_y2017_A4 0.0507882 0.502528 ACT 0.502539 Fishery_ARDEV_y2017_A5 0.239492 0.326042 ACT 0.511975 #_Derived_Quantities #_Spawn_Bio @@ -323,7 +320,7 @@ SSB_1974 2.57539e+06 652399 SSB_1975 2.96708e+06 765191 SSB_1976 3.61868e+06 945622 SSB_1977 3.11727e+06 813046 -SSB_1978 2.6442e+06 671667 +SSB_1978 2.6442e+06 671666 SSB_1979 2.77107e+06 680307 SSB_1980 2.79206e+06 664878 SSB_1981 2.55595e+06 580510 @@ -375,7 +372,7 @@ Recr_1967 3.54601e+06 1.91506e+06 Recr_1968 2.45952e+06 1.32643e+06 Recr_1969 820039 706709 Recr_1970 6.73584e+06 2.33279e+06 -Recr_1971 776914 457342 +Recr_1971 776915 457342 Recr_1972 449806 277688 Recr_1973 4.45447e+06 1.50214e+06 Recr_1974 330118 217240 @@ -407,7 +404,7 @@ Recr_1999 1.11919e+07 1.99618e+06 Recr_2000 307658 110473 Recr_2001 1.04585e+06 194580 Recr_2002 29952 20869.6 -Recr_2003 1.43707e+06 251423 +Recr_2003 1.43707e+06 251422 Recr_2004 86551.8 48603.7 Recr_2005 2.23934e+06 397998 Recr_2006 1.69896e+06 302016 @@ -417,14 +414,14 @@ Recr_2009 1.14021e+06 304345 Recr_2010 1.11949e+07 2.51128e+06 Recr_2011 386275 139928 Recr_2012 865403 250560 -Recr_2013 340186 147793 +Recr_2013 340186 147792 Recr_2014 5.68657e+06 1.70059e+06 Recr_2015 97985.2 72422.8 Recr_2016 8.41365e+06 3.60976e+06 Recr_2017 1.07402e+07 6.43812e+06 Recr_2018 2.27658e+06 3.22933e+06 Recr_2019 2.31678e+06 3.28649e+06 -Recr_2020 2.33781e+06 3.31569e+06 +Recr_2020 2.33781e+06 3.31568e+06 Recr_2021 2.3228e+06 3.2937e+06 #_SPR Basis= (1-SPR)/(1-SPR_40%) SPRratio_1966 0.529685 0.107266 @@ -470,7 +467,7 @@ SPRratio_2005 0.787223 0.106309 SPRratio_2006 0.910747 0.130232 SPRratio_2007 0.918116 0.128454 SPRratio_2008 0.946621 0.0884924 -SPRratio_2009 0.85584 0.098425 +SPRratio_2009 0.85584 0.0984249 SPRratio_2010 0.982658 0.0967671 SPRratio_2011 0.933584 0.104151 SPRratio_2012 0.777238 0.111691 @@ -482,7 +479,7 @@ SPRratio_2017 0.903101 0.140101 SPRratio_2018 0.851794 0.150761 SPRratio_2019 1.10034 0.0269349 SPRratio_2020 1.10034 0.026945 -SPRratio_2021 1.10034 0.040615 +SPRratio_2021 1.10034 0.0406161 #_F Basis= _abs_F;_with_F=Exploit(bio) F_1966 0.0733489 0.0164259 F_1967 0.114208 0.0254714 @@ -498,7 +495,7 @@ F_1976 0.0592128 0.0154837 F_1977 0.0372687 0.00974636 F_1978 0.0363416 0.00922909 F_1979 0.0389766 0.00958058 -F_1980 0.0290757 0.00692401 +F_1980 0.0290757 0.006924 F_1981 0.0499378 0.0113429 F_1982 0.0239556 0.00522199 F_1983 0.0262008 0.00536126 @@ -506,7 +503,7 @@ F_1984 0.0329145 0.00629827 F_1985 0.0281226 0.00503212 F_1986 0.0389435 0.00653028 F_1987 0.0489837 0.00764237 -F_1988 0.0577392 0.00839311 +F_1988 0.0577391 0.00839311 F_1989 0.0692058 0.00959623 F_1990 0.0636616 0.00822581 F_1991 0.0886015 0.0105632 @@ -519,7 +516,7 @@ F_1997 0.145982 0.0144138 F_1998 0.172504 0.0171578 F_1999 0.201581 0.0210119 F_2000 0.130617 0.0151404 -F_2001 0.0632115 0.00789616 +F_2001 0.0632115 0.00789615 F_2002 0.0460469 0.00527235 F_2003 0.0606529 0.0061374 F_2004 0.125376 0.0111115 @@ -532,14 +529,14 @@ F_2010 0.150245 0.018882 F_2011 0.195683 0.0269392 F_2012 0.0774594 0.013645 F_2013 0.0953391 0.0171397 -F_2014 0.101494 0.0192699 +F_2014 0.101494 0.0192698 F_2015 0.0903127 0.0183642 F_2016 0.135746 0.0318653 F_2017 0.194682 0.0529154 F_2018 0.112824 0.0416826 F_2019 0.147096 0.0247598 F_2020 0.21141 0.0322242 -F_2021 0.227451 0.0484093 +F_2021 0.227451 0.0484097 #_Depletion Basis= 100%*Virgin_Biomass Bratio_1967 0.411091 0.0861894 Bratio_1968 0.398364 0.0864617 @@ -579,7 +576,7 @@ Bratio_2001 0.516148 0.0582891 Bratio_2002 0.902822 0.0993415 Bratio_2003 0.828012 0.0835248 Bratio_2004 0.669352 0.062244 -Bratio_2005 0.520975 0.046446 +Bratio_2005 0.520976 0.046446 Bratio_2006 0.413617 0.0365288 Bratio_2007 0.318417 0.0286062 Bratio_2008 0.315435 0.0295813 @@ -594,12 +591,12 @@ Bratio_2016 0.448158 0.0772941 Bratio_2017 0.535916 0.117188 Bratio_2018 0.570673 0.168739 Bratio_2019 0.78258 0.279764 -Bratio_2020 0.965171 0.360747 +Bratio_2020 0.96517 0.360747 Bratio_2021 0.827729 0.317317 #_Mgmt_Quantity SSB_unfished 3.7435e+06 342207 Totbio_unfished 4.5069e+06 444142 -SmryBio_unfished 4.29978e+06 409625 +SmryBio_unfished 4.29978e+06 409624 Recr_unfished 2.34098e+06 520166 SSB_Btgt 1.4974e+06 136883 SPR_Btgt 0.422562 0.0188097 @@ -615,7 +612,7 @@ Dead_Catch_MSY 339711 56935.9 Ret_Catch_MSY 339711 56935.9 B_MSY/SSB_unfished 0.234079 0.0385204 ForeCatch_2019 818803 378900 -ForeCatch_2020 903922 408017 +ForeCatch_2020 903922 408016 ForeCatch_2021 817232 354893 OFLCatch_2019 818803 378900 OFLCatch_2020 903922 408016 @@ -644,7 +641,7 @@ SmryBio_1980 3.09296e+06 0.0 SmryBio_1981 2.78586e+06 0.0 SmryBio_1982 4.49753e+06 0.0 SmryBio_1983 4.34837e+06 0.0 -SmryBio_1984 4.20762e+06 0.0 +SmryBio_1984 4.20763e+06 0.0 SmryBio_1985 3.92564e+06 0.0 SmryBio_1986 5.40825e+06 0.0 SmryBio_1987 4.78012e+06 0.0 diff --git a/models/Hake_2019_semi-parametric_selex/starter.ss b/models/Hake_2019_semi-parametric_selex/starter.ss index a7d8193..1507032 100644 --- a/models/Hake_2019_semi-parametric_selex/starter.ss +++ b/models/Hake_2019_semi-parametric_selex/starter.ss @@ -29,7 +29,7 @@ hake_control.ss 0 # N individual STD years #COND: vector of year values if N>0 -1e-05 # final convergence criteria (e.g. 1.0e-04) +1e-04 # final convergence criteria (e.g. 1.0e-04) 0 # retrospective year relative to end year (e.g. -4) 2 # min age for calc of summary biomass 1 # Depletion basis: denom is: 0=skip; 1=X*SPBvirgin; 2=X*SPBmsy; 3=X*SPB_styr; 4=X*SPB_endyr; 5=X*dyn_Bzero; values>=11 invoke N multiyr (up to 9!) with 10's digit; >100 invokes log(ratio) diff --git a/models/Hake_2019_semi-parametric_selex/warning.sso b/models/Hake_2019_semi-parametric_selex/warning.sso index 74e44a5..2478820 100644 --- a/models/Hake_2019_semi-parametric_selex/warning.sso +++ b/models/Hake_2019_semi-parametric_selex/warning.sso @@ -1,7 +1,4 @@ -Note 1 Suggestion: This model has just one settlement event. Changing to recr_dist_method 4 and removing the recruitment distribution parameters at the end of the MG parms section (below growth parameters) will produce identical results and simplify the model. Warning 1 : 2D_AR selectivity deviations option is selected! Warning 2 : Minimum pop size bin:_10; is > L at Amin for sex: 1; Gpat: 1; L= 5 -Warning 3 : 1st iteration warning: catch logL > 50% total logL; check configuration; suggest start with larger R0 -Warning 4 : Final gradient: 2.25471e-05 is larger than final_conv: 1e-05 -Note 2 Information: A revised protocol for the Fcast_yr specification is available and recommended. - 4 warnings and 2 notes +Note 1 Information: A revised protocol for the Fcast_yr specification is available and recommended. + 2 warnings and 1 note diff --git a/models/KelpGreenling2015/BC_ctl.ss b/models/KelpGreenling2015/BC_ctl.ss index db574fe..996ca88 100644 --- a/models/KelpGreenling2015/BC_ctl.ss +++ b/models/KelpGreenling2015/BC_ctl.ss @@ -14,7 +14,7 @@ #_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # -2 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) +4 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) 1 # not yet implemented; Future usage: Spawner-Recruitment: 1=global; 2=by area 1 # number of recruitment settlement assignments 0 # unused option @@ -101,9 +101,6 @@ 1 5 3.1164 3.1164 0.8 6 -3 0 0 0 0 0 0 0 # Wtlen_2_Mal_GP_1 # Hermaphroditism # Recruitment Distribution - 0 1 1 1 0.8 6 -3 0 0 0 0 0 0 0 # RecrDist_GP_1 - 0 1 1 1 0.8 6 -3 0 0 0 0 0 0 0 # RecrDist_Area_1 - 0 1 1 1 0.8 6 -3 0 0 0 0 0 0 0 # RecrDist_month_1 # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement diff --git a/models/KelpGreenling2015/BC_dat.ss b/models/KelpGreenling2015/BC_dat.ss index 593bcb0..7a28a3b 100644 --- a/models/KelpGreenling2015/BC_dat.ss +++ b/models/KelpGreenling2015/BC_dat.ss @@ -26,11 +26,11 @@ #_catch_mult: 0=no; 1=yes #_rows are fleets #_fleet_type fishery_timing area catch_units need_catch_mult fleetname - 1 1 1 1 0 Commercial # 1 - 1 1 1 1 0 Ocean # 2 - 1 1 1 1 0 Estuary # 3 - 1 1 1 1 0 Shore # 4 - 1 1 1 1 0 SpecProj # 5 + 1 -1 1 1 0 Commercial # 1 + 1 -1 1 1 0 Ocean # 2 + 1 -1 1 1 0 Estuary # 3 + 1 -1 1 1 0 Shore # 4 + 1 -1 1 1 0 SpecProj # 5 3 1 1 2 0 Logbook # 6 3 1 1 2 0 ObsCPFV # 7 3 1 1 2 0 ORBS # 8 @@ -666,89 +666,89 @@ 2012 7 1 3 0 153 0 0 0 0 0 0 0 0 0 0 0 181.428 1542.14 2007.06 2236.12 2333.29 1769.4 936.183 388.671 55.0965 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 265.895 2013.97 3568.75 3716.18 3527.33 2287.86 390.074 24.64 0 0 19.7009 0 0 0 0 0 0 2013 7 1 3 0 198 0 0 0 0 0 0 0 0 0 0 10.5048 56.0415 960.839 3148.71 3269.81 3049.29 1656.21 608.629 116.706 13.2692 9.45432 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 238.505 1493.7 4836.2 6304.6 5086.6 2445.19 482.505 19.6267 0 0 0 0 0 0 0 0 0 2014 7 1 3 0 208 0 0 0 0 0 0 0 0 0 0 0 28.1139 463.189 1559.97 2067.48 2238.83 1522.43 658.308 148.881 30.9872 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7.97717 482.739 1760.23 3888.08 4283.6 1905.21 277.84 7.97717 0 0 0 0 0 0 0 0 0 - 1980 7 2 0 2 46 0 0 0 0 0 0 0 0 0.0217391 0.0217391 0 0.0434783 0.0217391 0.173913 0.130435 0.195652 0.173913 0.130435 0.0652174 0.0217391 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 1981 7 2 0 2 46 0 0 0 0 0 0 0 0 0 0.0217391 0 0.0434783 0.0652174 0.0869565 0.195652 0.326087 0.108696 0.0869565 0.0434783 0.0217391 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 1982 7 2 0 2 76 0 0 0 0 0 0 0 0 0 0 0 0.0526316 0.0657895 0.0921053 0.223684 0.236842 0.131579 0.144737 0.0394737 0.0131579 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 1983 7 2 0 2 17 0 0 0 0 0 0 0 0 0 0 0 0.235294 0.0588235 0.0588235 0.235294 0.294118 0.117647 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 1984 7 2 0 2 73 0 0 0 0 0 0 0 0.0273973 0.0410959 0 0.0410959 0.0684932 0.0547945 0.205479 0.191781 0.260274 0.0547945 0.0136986 0.0136986 0 0 0.0136986 0.0136986 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 1985 7 2 0 2 79 0 0 0 0 0 0 0 0 0.0126582 0.101266 0.0886076 0.151899 0.113924 0.0759494 0.189873 0.151899 0.0759494 0.0379747 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 1986 7 2 0 2 62 0 0 0 0 0 0 0 0 0 0.016129 0.0322581 0 0.0483871 0.241935 0.354839 0.0967742 0.0967742 0.0967742 0.016129 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 1987 7 2 0 2 59 0 0 0 0 0 0 0 0 0.0338983 0.0508475 0.0677966 0.0508475 0.0847458 0.220339 0.186441 0.118644 0.152542 0.0169492 0.0169492 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 1988 7 2 0 2 84 0 0 0 0 0 0 0 0.0119048 0.0119048 0.0119048 0.0119048 0.0595238 0.0952381 0.119048 0.321429 0.166667 0.0952381 0.047619 0.0238095 0.0238095 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 1989 7 2 0 2 60 0 0 0 0 0 0 0 0.0333333 0.05 0.0166667 0.0333333 0.0333333 0.1 0.133333 0.183333 0.233333 0.133333 0.0333333 0.0166667 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 1994 7 2 0 2 164 0 0 0 0 0 0 0 0 0 0 0.0304878 0.0304878 0.0670732 0.109756 0.27439 0.170732 0.231707 0.0670732 0.00609756 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 1995 7 2 0 2 57 0 0 0 0 0 0 0 0 0 0 0.0175439 0 0.0701754 0.157895 0.175439 0.350877 0.140351 0.0701754 0.0175439 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 1996 7 2 0 2 53 0 0 0 0 0 0 0 0 0 0 0 0 0.0377358 0.132075 0.264151 0.283019 0.188679 0.0566038 0.0377358 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 1997 7 2 0 2 146 0 0 0 0 0 0 0 0 0 0.0136986 0.00684931 0.0684932 0.0616438 0.109589 0.191781 0.287671 0.19863 0.0479452 0 0.0136986 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 1998 7 2 0 2 156 0 0 0 0 0 0 0 0 0.00641026 0.00641026 0 0.0641026 0.0961538 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0 0 0 0 0 + 1984 7 4 0 0 243 0 0 0 0 0.00823045 0.0699588 0.127572 0.090535 0.111111 0.226337 0.135802 0.0617284 0.0781893 0.0288066 0.0329218 0.00823045 0.0164609 0.00411523 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 + 1985 7 4 0 0 452 0 0 0 0 0 0 0.0420354 0.108407 0.261062 0.146018 0.126106 0.103982 0.0707965 0.0730089 0.0553097 0.0110619 0 0.00221239 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 + 1986 7 4 0 0 366 0 0 0 0.00546448 0.0136612 0.0136612 0.0846995 0.0928962 0.161202 0.202186 0.117486 0.0737705 0.0737705 0.0300546 0.0300546 0.0327869 0.0245902 0.0327869 0.00819672 0.00273224 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 + 1987 7 4 0 0 325 0 0 0 0 0 0 0.0276923 0.0769231 0.104615 0.175385 0.190769 0.150769 0.107692 0.0646154 0.0307692 0.0123077 0.0184615 0.0246154 0 0.00307692 0.00923077 0.00307692 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 + 1988 7 4 0 0 218 0 0 0 0 0 0 0.059633 0.119266 0.146789 0.142202 0.169725 0.087156 0.0963303 0.0688073 0.0412844 0.0366972 0.00917431 0.0137615 0.00458716 0.00458716 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 + 1989 7 4 0 0 159 0 0 0 0 0 0 0.0314465 0.0691824 0.150943 0.213836 0.132075 0.0691824 0.144654 0.119497 0.0440252 0.0188679 0.00628931 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 + 1994 7 4 0 0 299 0 0 0 0 0.0133779 0.0301003 0.0234114 0.0234114 0.117057 0.173913 0.157191 0.103679 0.123746 0.09699 0.0602007 0.0401338 0.0133779 0.0133779 0.0100334 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 + 1995 7 4 0 0 228 0 0 0.00877193 0.00877193 0.0175439 0.0482456 0.0657895 0.0526316 0.114035 0.131579 0.149123 0.0745614 0.118421 0.0657895 0.0570175 0.0438596 0.0263158 0.00438597 0.00877193 0.00438597 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 + 1996 7 4 0 0 269 0 0 0 0 0 0.0111524 0.0483271 0.0483271 0.0557621 0.126394 0.178439 0.0929368 0.137546 0.104089 0.0557621 0.0520446 0.0371747 0.0260223 0.0148699 0.00371747 0.00371747 0.00371747 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 + 1997 7 4 0 0 277 0 0 0 0 0.00722022 0.0180505 0.0252708 0.0361011 0.0794224 0.151625 0.249097 0.151625 0.0794224 0.0830325 0.032491 0.0288809 0.0361011 0.00722022 0.0144404 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 + 1998 7 4 0 0 82 0 0 0 0 0 0.0243902 0.0243902 0.097561 0.0609756 0.146341 0.109756 0.146341 0.097561 0.121951 0.0365854 0.0853659 0.0487805 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 + 1999 7 4 0 0 134 0 0 0 0 0 0 0.0447761 0.0597015 0.0895522 0.126866 0.11194 0.0970149 0.156716 0.0820896 0.149254 0.0373134 0.0223881 0.0223881 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 + 2000 7 4 0 0 257 0 0 0 0 0 0.0194553 0.0544747 0.07393 0.0544747 0.124514 0.163424 0.151751 0.128405 0.0856031 0.0933852 0.0311284 0.0155642 0 0 0 0 0.00389105 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 + 2001 7 4 0 0 141 0 0 0.0070922 0 0.0070922 0.0283688 0.0141844 0.0567376 0.0425532 0.148936 0.184397 0.156028 0.0780142 0.0567376 0.0992908 0.0496454 0.0567376 0.0070922 0 0.0070922 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 + 2002 7 4 0 0 280 0 0 0 0 0 0.025 0.025 0.0428571 0.128571 0.0571429 0.128571 0.114286 0.110714 0.142857 0.128571 0.0535714 0.0214286 0.0178571 0 0 0.00357143 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 + 2003 7 4 0 0 308 0 0 0 0 0.00324675 0.0194805 0.038961 0.0454545 0.107143 0.159091 0.168831 0.126623 0.113636 0.0811688 0.0616883 0.0292208 0.025974 0.0194805 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 + 2004 7 4 0 0 211 0 0 0 0 0 0.00473934 0.00947867 0.028436 0.0805687 0.132701 0.208531 0.161137 0.118483 0.0995261 0.0853081 0.0189573 0.042654 0.00473934 0.00473934 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 + 2005 7 4 0 0 107 0 0 0 0 0 0 0.00934579 0.0186916 0.0280374 0.046729 0.242991 0.242991 0.130841 0.0841121 0.0934579 0.0654206 0.0186916 0.00934579 0 0 0.00934579 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -9999 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 # 13 #_N_age_bins @@ -779,259 +779,259 @@ # sex codes: 0=combined; 1=use female only; 2=use male only; 3=use both as joint sexxlength distribution # partition codes: (0=combined; 1=discard; 2=retained #_yr month fleet sex part ageerr Lbin_lo Lbin_hi Nsamp datavector(female-male) - 2005 7 -2 1 2 1 -1 -1 74 0 0.0135135 0.0945946 0.189189 0.324324 0.175676 0.108108 0.027027 0.027027 0.0135135 0 0.027027 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 2006 7 -2 1 2 1 -1 -1 35 0 0.0571429 0.0285714 0.171429 0.228571 0.2 0.2 0.0571429 0.0571429 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 2007 7 -2 1 2 1 -1 -1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 2008 7 -2 1 2 1 -1 -1 29 0 0.0344828 0.137931 0.0689655 0.206897 0.241379 0 0.0689655 0.137931 0.0344828 0.0689655 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 2009 7 -2 1 2 1 -1 -1 115 0 0.0521739 0.156522 0.0347826 0.147826 0.104348 0.0869565 0.113043 0.156522 0.0869565 0.0173913 0.0173913 0.026087 0 0 0 0 0 0 0 0 0 0 0 0 0 - 2010 7 -2 1 2 1 -1 -1 113 0 0.0973451 0.20354 0.176991 0.0619469 0.0442478 0.0619469 0.0619469 0.0353982 0.159292 0.0707965 0.0265487 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 2011 7 -2 1 2 1 -1 -1 134 0 0.0597015 0.208955 0.156716 0.0522388 0.00746269 0.119403 0.0970149 0.0746269 0.0820895 0.0671642 0.0447761 0.0298507 0 0 0 0 0 0 0 0 0 0 0 0 0 - 2012 7 -2 1 2 1 -1 -1 87 0 0.0344828 0.149425 0.310345 0.137931 0.0574713 0.0689655 0.0344828 0.045977 0.045977 0.045977 0.0344828 0.0344828 0 0 0 0 0 0 0 0 0 0 0 0 0 - 2013 7 -2 1 2 1 -1 -1 70 0 0 0.0142857 0.0857143 0.385714 0.285714 0.1 0.0428571 0.0428571 0 0 0.0142857 0.0285714 0 0 0 0 0 0 0 0 0 0 0 0 0 - 2005 7 -2 2 2 1 -1 -1 72 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0416667 0.138889 0.236111 0.263889 0.180556 0.0694444 0.0277778 0.0277778 0 0 0.0138889 - 2006 7 -2 2 2 1 -1 -1 50 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.04 0.14 0.16 0.18 0.12 0.1 0.06 0.14 0 0.04 0.02 - 2007 7 -2 2 2 1 -1 -1 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.4 0 0 0.4 0.2 0 0 0 0 0 0 - 2008 7 -2 2 2 1 -1 -1 57 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0877193 0.0350877 0.0526316 0.157895 0.0877193 0.157895 0.245614 0.0350877 0.0701754 0.0350877 0.0350877 - 2009 7 -2 2 2 1 -1 -1 142 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.028169 0.176056 0.0492958 0.140845 0.119718 0.126761 0.056338 0.0985916 0.0704225 0.0492958 0.0352113 0.0492958 - 2010 7 -2 2 2 1 -1 -1 158 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0949367 0.234177 0.139241 0.0253165 0.0759494 0.056962 0.0443038 0.056962 0.101266 0.101266 0.0316456 0.0379747 - 2011 7 -2 2 2 1 -1 -1 155 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.083871 0.180645 0.109677 0.129032 0.0516129 0.083871 0.0645161 0.083871 0.083871 0.0387097 0.0580645 0.0322581 - 2012 7 -2 2 2 1 -1 -1 133 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0150376 0.165414 0.270677 0.157895 0.0827068 0.037594 0.037594 0.037594 0.0150376 0.0451128 0.0902256 0.0451128 - 2013 7 -2 2 2 1 -1 -1 114 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00877193 0.166667 0.368421 0.149123 0.0701754 0.00877193 0.0263158 0.0526316 0.0263158 0.0350877 0.0877193 - 2003 7 -1 1 2 2 -1 -1 12 0 0 0.166667 0.583333 0 0.0833333 0.0833333 0.0833333 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 2004 7 -1 1 2 2 -1 -1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 2007 7 -1 1 2 2 -1 -1 6 0 0 0.333333 0.166667 0 0.166667 0 0 0.166667 0.166667 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 2008 7 -1 1 2 2 -1 -1 2 0 0 0 0 0 0 0 0 0 0.5 0.5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 2009 7 -1 1 2 2 -1 -1 11 0 0 0.181818 0.0909091 0.181818 0 0.272727 0 0.181818 0.0909091 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 2010 7 -1 1 2 2 -1 -1 24 0 0 0.0833333 0.0833333 0.291667 0.0416667 0.125 0 0.0416667 0.0833333 0.0833333 0.166667 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 2011 7 -1 1 2 2 -1 -1 34 0 0 0.147059 0.205882 0.117647 0.0588235 0.0294118 0.0588235 0.0588235 0.0588235 0.117647 0.0588235 0.0882353 0 0 0 0 0 0 0 0 0 0 0 0 0 - 2012 7 -1 1 2 2 -1 -1 44 0 0 0.0454546 0.136364 0.295455 0.113636 0.0454546 0 0.113636 0.0909091 0.0681818 0.0909091 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 2013 7 -1 1 2 2 -1 -1 31 0 0 0.0645161 0.129032 0.419355 0.0322581 0.0645161 0.0967742 0.0967742 0.0322581 0.0322581 0.0322581 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 2003 7 -1 2 2 2 -1 -1 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.625 0 0 0.1875 0.0625 0 0 0.0625 0.0625 0 - 2004 7 -1 2 2 2 -1 -1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 - 2007 7 -1 2 2 2 -1 -1 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.333333 0.166667 0 0 0 0 0.333333 0 0.166667 0 0 - 2008 7 -1 2 2 2 -1 -1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.5 0 0 0.5 0 0 0 - 2009 7 -1 2 2 2 -1 -1 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.25 0.166667 0 0.0833333 0 0.0833333 0.166667 0.0833333 0 0.0833333 0.0833333 - 2010 7 -1 2 2 2 -1 -1 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.444444 0.222222 0 0.222222 0 0 0.111111 0 0 0 - 2011 7 -1 2 2 2 -1 -1 44 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.113636 0.159091 0.25 0.0454546 0.0681818 0.0909091 0.0909091 0.0454546 0.0681818 0.0227273 0.0454546 - 2012 7 -1 2 2 2 -1 -1 56 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0892857 0.25 0.125 0.125 0.0535714 0.0714286 0.0714286 0.0714286 0.0357143 0.0535714 0.0535714 - 2013 7 -1 2 2 2 -1 -1 38 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0789474 0.105263 0.342105 0.157895 0.131579 0.105263 0.0263158 0 0 0.0263158 0.0263158 - 2005 7 2 1 2 2 13 13 3 0 0.333333 0 0.666667 0 0 0 0 0 0 0 0 0 0 0.333333 0 0.666667 0 0 0 0 0 0 0 0 0 - 2005 7 2 1 2 2 14 14 12 0 0 0.416667 0.25 0.333333 0 0 0 0 0 0 0 0 0 0 0.416667 0.25 0.333333 0 0 0 0 0 0 0 0 - 2005 7 2 1 2 2 15 15 14 0 0 0.142857 0.357143 0.357143 0.0714286 0.0714286 0 0 0 0 0 0 0 0 0.142857 0.357143 0.357143 0.0714286 0.0714286 0 0 0 0 0 0 - 2005 7 2 1 2 2 16 16 27 0 0 0 0.148148 0.407407 0.333333 0.0740741 0 0.037037 0 0 0 0 0 0 0 0.148148 0.407407 0.333333 0.0740741 0 0.037037 0 0 0 0 - 2005 7 2 1 2 2 17 17 10 0 0 0 0 0.2 0.2 0.2 0.1 0 0.1 0 0.2 0 0 0 0 0 0.2 0.2 0.2 0.1 0 0.1 0 0.2 0 - 2005 7 2 1 2 2 18 18 7 0 0 0 0 0.285714 0 0.428571 0.142857 0.142857 0 0 0 0 0 0 0 0 0.285714 0 0.428571 0.142857 0.142857 0 0 0 0 - 2005 7 2 1 2 2 19 19 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 - 2006 7 2 1 2 2 11 11 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 - 2006 7 2 1 2 2 12 12 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 - 2006 7 2 1 2 2 13 13 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 - 2006 7 2 1 2 2 14 14 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 - 2006 7 2 1 2 2 15 15 8 0 0 0 0.375 0.375 0.125 0.125 0 0 0 0 0 0 0 0 0 0.375 0.375 0.125 0.125 0 0 0 0 0 0 - 2006 7 2 1 2 2 16 16 13 0 0 0 0.0769231 0.307692 0.307692 0.153846 0.0769231 0.0769231 0 0 0 0 0 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0 0 0 0 0 0 0 0 0 0 0 -9999 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 # 0 #_Use_MeanSize-at-Age_obs (0/1) diff --git a/models/KelpGreenling2015/ss.par b/models/KelpGreenling2015/ss.par index 96823cc..05731ac 100644 --- a/models/KelpGreenling2015/ss.par +++ b/models/KelpGreenling2015/ss.par @@ -1,16 +1,16 @@ -# Number of parameters = 68 Objective function value = 1305.42748191401 Maximum gradient component = 1.24296113808289e-05 +# Number of parameters = 68 Objective function value = 1305.49287297707 Maximum gradient component = 9.37168507375023e-06 # dummy_parm: 1.00000000000 # MGparm[1]: 0.360000000000 # MGparm[2]: -25.0668096636 +25.0665113982 # MGparm[3]: -36.4387876722 +36.4355377717 # MGparm[4]: -0.261352789120 +0.261371366732 # MGparm[5]: -0.105097037839 +0.105109147580 # MGparm[6]: 0.00000000000 # MGparm[7]: @@ -30,7 +30,7 @@ # MGparm[14]: 0.00000000000 # MGparm[15]: --0.0191200711019 +-0.0189969410127 # MGparm[16]: 0.00000000000 # MGparm[17]: @@ -44,15 +44,9 @@ # MGparm[21]: 1.00000000000 # MGparm[22]: -1.00000000000 -# MGparm[23]: -1.00000000000 -# MGparm[24]: -1.00000000000 -# MGparm[25]: 0.500000000000 # SR_parm[1]: -7.28012427428 +7.27851054638 # SR_parm[2]: 0.700000000000 # SR_parm[3]: @@ -62,39 +56,39 @@ # SR_parm[5]: 0.00000000000 # recdev1: - -0.108016326393 0.0457131512193 -0.279401956597 0.488272255719 0.567817903398 0.983950616374 0.420641636859 0.423063560444 0.189508318826 -0.536609285619 -0.547612919510 -0.497408692105 -0.218095649893 -0.521196030008 0.0160359892894 -0.502155905470 -0.290406566699 0.287659294477 -0.0568246469455 -0.0853129515585 0.992806594477 0.678606769845 0.145107692446 -0.105472888827 -0.406744702872 -0.250317255651 -1.02540965926 0.226390528425 0.446469795319 1.10964493578 0.458863055091 -0.952686913816 -1.09687974677 + -0.108384849142 0.0454699487004 -0.279759608984 0.488028460718 0.567504780237 0.983650161794 0.420228968281 0.422748082493 0.189423167071 -0.536388126157 -0.547417698281 -0.497281619767 -0.217989595121 -0.521581228868 0.0157947857801 -0.502483423376 -0.290369628777 0.287669545663 -0.0563920344842 -0.0851195353498 0.993067328815 0.678919417081 0.145048024898 -0.105354820878 -0.406683089076 -0.250128838372 -1.02520521521 0.226678624037 0.446749337164 1.10991721561 0.459117896940 -0.952512342769 -1.09696409067 # Fcast_recruitments: - -0.335294322778 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 + -0.335474388377 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 # Q_parm[1]: --7.16959571957 +-7.16782694703 # Q_parm[2]: -0.0222876231422 +0.0222436128991 # Q_parm[3]: --8.42917830973 +-8.42744058135 # Q_parm[4]: -0.0935545370625 +0.0935551143599 # Q_parm[5]: --9.04098517955 +-9.03926250003 # Q_parm[6]: -0.0236523743263 +0.0236218154990 # selparm[1]: -39.1958952228 +39.1955224695 # selparm[2]: -8.00000000000 # selparm[3]: -3.20418414929 +3.20421524073 # selparm[4]: -0.928091761901 +0.928584691267 # selparm[5]: -8.00000000000 # selparm[6]: --1.35032673727 +-1.35098621499 # selparm[7]: -39.8903862694 +39.8901181574 # selparm[8]: -5.00000000000 # selparm[9]: -3.62312280458 +3.62326051326 # selparm[10]: 8.00000000000 # selparm[11]: @@ -102,17 +96,17 @@ # selparm[12]: 8.00000000000 # selparm[13]: -12.2821973825 +12.2849901326 # selparm[14]: --5.15574658037 +-5.15469544803 # selparm[15]: -4.50312211617 +4.50309629769 # selparm[16]: -3.57606217513 +3.57592288723 # selparm[17]: -8.00000000000 # selparm[18]: --1.59161667913 +-1.58965850369 # selparm[19]: 6.00000000000 # selparm[20]: @@ -120,16 +114,16 @@ # selparm[21]: 5.00000000000 # selparm[22]: -3.97111333853 +3.97145592371 # selparm[23]: 8.00000000000 # selparm[24]: --5.28355632606 +-5.28164195682 # selparm[25]: 1.00000000000 # selparm[26]: 1.00000000000 # selparm[27]: --0.250964050076 +-0.251071461413 # checksum999: 999.000000000 diff --git a/models/KelpGreenling2015/ss_summary.sso b/models/KelpGreenling2015/ss_summary.sso index 00d28f1..4321248 100644 --- a/models/KelpGreenling2015/ss_summary.sso +++ b/models/KelpGreenling2015/ss_summary.sso @@ -1,21 +1,21 @@ #V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 BC_dat.ss #_DataFile BC_ctl.ss #_Control -Run_Date: Tue Oct 31 16:40:07 2023 -Final_phase: 6 N_iterations: 588 +Run_Date: Wed Nov 1 09:54:37 2023 +Final_phase: 6 N_iterations: 595 #_LIKELIHOOD Label logL*Lambda -TOTAL_LogL 1305.43 -Catch 0.0127284 -Survey -32.5937 -Length_comp 377.421 -Age_comp 951.049 -Recruitment 1.55356 +TOTAL_LogL 1305.49 +Catch 0.0127685 +Survey -32.5974 +Length_comp 377.465 +Age_comp 951.075 +Recruitment 1.55337 InitEQ_regime 0 -Sum_recdevs -0.335294 -Forecast_Recruitment 0.133044 +Sum_recdevs -0.335474 +Forecast_Recruitment 0.133187 Parm_priors 7.84759 -Parm_softbounds 0.00425709 +Parm_softbounds 0.00425496 Parm_devs 0 F_Ballpark 0 Crash_Pen 0 @@ -23,10 +23,10 @@ Crash_Pen 0 #label value se active? range #_BIOLOGY NatM_uniform_Fem_GP_1 0.36 0 Fix 0.519999 -L_at_Amin_Fem_GP_1 25.0668 0.224742 Act 0.87667 -L_at_Amax_Fem_GP_1 36.4388 0.288882 Act 0.41097 -VonBert_K_Fem_GP_1 0.261353 0.0203032 Act 0.179281 -CV_young_Fem_GP_1 0.105097 0.00199041 Act 0.550965 +L_at_Amin_Fem_GP_1 25.0665 0.224678 Act 0.876663 +L_at_Amax_Fem_GP_1 36.4355 0.288866 Act 0.410888 +VonBert_K_Fem_GP_1 0.261371 0.0203045 Act 0.179301 +CV_young_Fem_GP_1 0.105109 0.0019914 Act 0.551086 CV_old_Fem_GP_1 0 0 Fix 0.499999 Wtlen_1_Fem_GP_1 6.81e-06 0 Fix 6.80999e-06 Wtlen_2_Fem_GP_1 3.2114 0 Fix 0.55285 @@ -36,57 +36,54 @@ Eggs/kg_inter_Fem_GP_1 1 0 Fix 0.666667 Eggs/kg_slope_wt_Fem_GP_1 0 0 Fix 0.5 NatM_uniform_Mal_GP_1 -0.12516 0 Fix 0.3957 L_at_Amin_Mal_GP_1 0 0 Fix 0.25 -L_at_Amax_Mal_GP_1 -0.0191201 0.00533563 Act 0.249761 +L_at_Amax_Mal_GP_1 -0.0189969 0.00533382 Act 0.249763 VonBert_K_Mal_GP_1 0 0 Fix 0.5 CV_young_Mal_GP_1 0 0 Fix 0.499999 CV_old_Mal_GP_1 0 0 Fix 0.499999 Wtlen_1_Mal_GP_1 9.76e-06 0 Fix 9.75999e-06 Wtlen_2_Mal_GP_1 3.1164 0 Fix 0.5291 -RecrDist_GP_1 1 0 Fix 0.999999 -RecrDist_Area_1 1 0 Fix 0.999999 -RecrDist_month_1 1 0 Fix 0.999999 CohortGrowDev 1 0 Fix 0.0909091 FracFemale_GP_1 0.5 0 Fix 0.499999 #_SPAWN_RECR -SR_LN(R0) 7.28012 0.215618 Act 0.228012 +SR_LN(R0) 7.27851 0.215594 Act 0.227851 SR_BH_steep 0.7 0 Fix 0.624999 SR_sigmaR 0.65 0 Fix 0.325 SR_regime 0 0 Fix 0.5 SR_autocorr 0 0 Fix 0 -Main_RecrDev_1980 -0.108016 0.29718 Act 0.489198 -Main_RecrDev_1981 0.0457132 0.274195 Act 0.504571 -Main_RecrDev_1982 -0.279402 0.316712 Act 0.47206 -Main_RecrDev_1983 0.488272 0.241844 Act 0.548827 -Main_RecrDev_1984 0.567818 0.243659 Act 0.556782 -Main_RecrDev_1985 0.983951 0.243703 Act 0.598395 -Main_RecrDev_1986 0.420642 0.313873 Act 0.542064 -Main_RecrDev_1987 0.423064 0.319538 Act 0.542306 -Main_RecrDev_1988 0.189508 0.398577 Act 0.518951 -Main_RecrDev_1989 -0.536609 0.570882 Act 0.446339 -Main_RecrDev_1990 -0.547613 0.563012 Act 0.445239 -Main_RecrDev_1991 -0.497409 0.560497 Act 0.450259 -Main_RecrDev_1992 -0.218096 0.504192 Act 0.47819 -Main_RecrDev_1993 -0.521196 0.328225 Act 0.44788 -Main_RecrDev_1994 0.016036 0.267591 Act 0.501604 -Main_RecrDev_1995 -0.502156 0.328714 Act 0.449784 -Main_RecrDev_1996 -0.290407 0.312273 Act 0.470959 -Main_RecrDev_1997 0.287659 0.290797 Act 0.528766 -Main_RecrDev_1998 -0.0568246 0.311711 Act 0.494317 -Main_RecrDev_1999 -0.085313 0.277562 Act 0.491469 -Main_RecrDev_2000 0.992807 0.129996 Act 0.599281 -Main_RecrDev_2001 0.678607 0.138045 Act 0.567861 -Main_RecrDev_2002 0.145108 0.157609 Act 0.514511 -Main_RecrDev_2003 -0.105473 0.151356 Act 0.489453 -Main_RecrDev_2004 -0.406745 0.168833 Act 0.459325 -Main_RecrDev_2005 -0.250317 0.144788 Act 0.474968 -Main_RecrDev_2006 -1.02541 0.220893 Act 0.397459 -Main_RecrDev_2007 0.226391 0.119791 Act 0.522639 -Main_RecrDev_2008 0.44647 0.124115 Act 0.544647 -Main_RecrDev_2009 1.10964 0.115412 Act 0.610964 -Main_RecrDev_2010 0.458863 0.164231 Act 0.545886 -Main_RecrDev_2011 -0.952687 0.329692 Act 0.404731 -Main_RecrDev_2012 -1.09688 0.462686 Act 0.390312 -Late_RecrDev_2013 -0.335294 0.536427 Act 0.466471 +Main_RecrDev_1980 -0.108385 0.29723 Act 0.489161 +Main_RecrDev_1981 0.0454699 0.274216 Act 0.504547 +Main_RecrDev_1982 -0.27976 0.316742 Act 0.472024 +Main_RecrDev_1983 0.488028 0.241867 Act 0.548803 +Main_RecrDev_1984 0.567505 0.243694 Act 0.55675 +Main_RecrDev_1985 0.98365 0.243735 Act 0.598365 +Main_RecrDev_1986 0.420229 0.31392 Act 0.542023 +Main_RecrDev_1987 0.422748 0.319568 Act 0.542275 +Main_RecrDev_1988 0.189423 0.398603 Act 0.518942 +Main_RecrDev_1989 -0.536388 0.570939 Act 0.446361 +Main_RecrDev_1990 -0.547418 0.563061 Act 0.445258 +Main_RecrDev_1991 -0.497282 0.560536 Act 0.450272 +Main_RecrDev_1992 -0.21799 0.504195 Act 0.478201 +Main_RecrDev_1993 -0.521581 0.328263 Act 0.447842 +Main_RecrDev_1994 0.0157948 0.267601 Act 0.501579 +Main_RecrDev_1995 -0.502483 0.328742 Act 0.449752 +Main_RecrDev_1996 -0.29037 0.312284 Act 0.470963 +Main_RecrDev_1997 0.28767 0.290841 Act 0.528767 +Main_RecrDev_1998 -0.056392 0.311703 Act 0.494361 +Main_RecrDev_1999 -0.0851195 0.277603 Act 0.491488 +Main_RecrDev_2000 0.993067 0.130003 Act 0.599307 +Main_RecrDev_2001 0.678919 0.138036 Act 0.567892 +Main_RecrDev_2002 0.145048 0.157629 Act 0.514505 +Main_RecrDev_2003 -0.105355 0.151345 Act 0.489464 +Main_RecrDev_2004 -0.406683 0.168832 Act 0.459332 +Main_RecrDev_2005 -0.250129 0.144768 Act 0.474987 +Main_RecrDev_2006 -1.02521 0.220883 Act 0.397479 +Main_RecrDev_2007 0.226679 0.119745 Act 0.522668 +Main_RecrDev_2008 0.446749 0.124066 Act 0.544675 +Main_RecrDev_2009 1.10992 0.115355 Act 0.610992 +Main_RecrDev_2010 0.459118 0.164188 Act 0.545912 +Main_RecrDev_2011 -0.952512 0.329688 Act 0.404749 +Main_RecrDev_2012 -1.09696 0.462692 Act 0.390304 +Late_RecrDev_2013 -0.335474 0.536419 Act 0.466453 Late_RecrDev_2014 0 0.65 Act 0.5 ForeRecr_2015 0 0.65 Act 0.5 ForeRecr_2016 0 0.65 Act 0.5 @@ -99,867 +96,867 @@ ForeRecr_2022 0 0.65 Act 0.5 ForeRecr_2023 0 0.65 Act 0.5 ForeRecr_2024 0 0.65 Act 0.5 #_Catchability -LnQ_base_Logbook(6) -7.1696 0 Fix 0.261013 -Q_extraSD_Logbook(6) 0.0222876 0.053487 Act 0.0111438 -LnQ_base_ObsCPFV(7) -8.42918 0 Fix 0.219027 -Q_extraSD_ObsCPFV(7) 0.0935545 0.0510177 Act 0.0467772 -LnQ_base_ORBS(8) -9.04099 0 Fix 0.198634 -Q_extraSD_ORBS(8) 0.0236524 0.0506058 Act 0.0118262 +LnQ_base_Logbook(6) -7.16783 0 Fix 0.261072 +Q_extraSD_Logbook(6) 0.0222436 0.0534698 Act 0.0111218 +LnQ_base_ObsCPFV(7) -8.42744 0 Fix 0.219085 +Q_extraSD_ObsCPFV(7) 0.0935551 0.0510174 Act 0.0467775 +LnQ_base_ORBS(8) -9.03926 0 Fix 0.198691 +Q_extraSD_ORBS(8) 0.0236218 0.0505947 Act 0.0118109 #_Selectivity -Size_DblN_peak_Commercial(1) 39.1959 0.326741 Act 0.723614 +Size_DblN_peak_Commercial(1) 39.1955 0.326666 Act 0.723596 Size_DblN_top_logit_Commercial(1) -8 0 Fix 0.133333 -Size_DblN_ascend_se_Commercial(1) 3.20418 0.0671516 Act 0.35602 -Size_DblN_descend_se_Commercial(1) 0.928092 0.717513 Act 0.551561 +Size_DblN_ascend_se_Commercial(1) 3.20422 0.0671426 Act 0.356024 +Size_DblN_descend_se_Commercial(1) 0.928585 0.717329 Act 0.551588 Size_DblN_start_logit_Commercial(1) -8 0 Fix 0.0555556 -Size_DblN_end_logit_Commercial(1) -1.35033 1.16384 Act 0.424982 -Size_DblN_peak_Ocean(2) 39.8904 0.397161 Act 0.756685 +Size_DblN_end_logit_Commercial(1) -1.35099 1.16426 Act 0.424945 +Size_DblN_peak_Ocean(2) 39.8901 0.397154 Act 0.756672 Size_DblN_top_logit_Ocean(2) -5 0 Fix 0.333333 -Size_DblN_ascend_se_Ocean(2) 3.62312 0.0830677 Act 0.402569 +Size_DblN_ascend_se_Ocean(2) 3.62326 0.0830572 Act 0.402584 Size_DblN_descend_se_Ocean(2) 8 0 Fix 0.888889 Size_DblN_start_logit_Ocean(2) -8 0 Fix 0.0555556 Size_DblN_end_logit_Ocean(2) 8 0 Fix 0.944444 -Size_DblN_peak_Estuary(3) 12.2822 22.2221 Act 0.0652056 -Size_DblN_top_logit_Estuary(3) -5.15575 76.0034 Act 0.32295 -Size_DblN_ascend_se_Estuary(3) 4.50312 100.31 Act 0.500347 -Size_DblN_descend_se_Estuary(3) 3.57606 1.22719 Act 0.69867 +Size_DblN_peak_Estuary(3) 12.285 22.2401 Act 0.0652854 +Size_DblN_top_logit_Estuary(3) -5.1547 76.0052 Act 0.32302 +Size_DblN_ascend_se_Estuary(3) 4.5031 100.31 Act 0.500344 +Size_DblN_descend_se_Estuary(3) 3.57592 1.22746 Act 0.698662 Size_DblN_start_logit_Estuary(3) -8 0 Fix 0.0555556 -Size_DblN_end_logit_Estuary(3) -1.59162 2.33852 Act 0.411577 +Size_DblN_end_logit_Estuary(3) -1.58966 2.3377 Act 0.411686 Size_DblN_peak_Shore(4) 6 0 Fix 0 Size_DblN_top_logit_Shore(4) -9 0 Fix 0.0526316 Size_DblN_ascend_se_Shore(4) 5 0 Fix 0.555555 -Size_DblN_descend_se_Shore(4) 3.97111 0.0464576 Act 0.720617 +Size_DblN_descend_se_Shore(4) 3.97146 0.0464824 Act 0.720636 Size_DblN_start_logit_Shore(4) 8 0 Fix 0.944444 -Size_DblN_end_logit_Shore(4) -5.28356 0.249798 Act 0.206469 +Size_DblN_end_logit_Shore(4) -5.28164 0.249867 Act 0.206575 minage@sel=1_SpecProj(5) 1 0 Fix 0 maxage@sel=1_SpecProj(5) 1 0 Fix 0 -Size_DblN_ascend_se_Ocean(2)_BLK1add_2004 -0.250964 0.0632244 Act 0.916345 +Size_DblN_ascend_se_Ocean(2)_BLK1add_2004 -0.251071 0.0632245 Act 0.916309 #_Derived_Quantities #_Spawn_Bio -SSB_Virgin 396.626 91.6351 -SSB_Initial 396.626 91.6351 -SSB_1915 396.626 91.6351 -SSB_1916 395.565 91.6233 -SSB_1917 394.643 91.612 -SSB_1918 393.857 91.6031 -SSB_1919 393.25 91.5972 -SSB_1920 392.585 91.5911 -SSB_1921 391.916 91.5851 -SSB_1922 391.862 91.586 -SSB_1923 391.945 91.5891 -SSB_1924 391.927 91.5907 -SSB_1925 391.821 91.5906 -SSB_1926 391.659 91.5895 -SSB_1927 391.485 91.5882 -SSB_1928 391.338 91.5871 -SSB_1929 391.218 91.5864 -SSB_1930 391.092 91.5856 -SSB_1931 390.956 91.5846 -SSB_1932 390.905 91.5846 -SSB_1933 391.091 91.5873 -SSB_1934 391.366 91.591 -SSB_1935 391.395 91.5918 -SSB_1936 391.335 91.5909 -SSB_1937 391.174 91.5889 -SSB_1938 390.9 91.5856 -SSB_1939 390.626 91.5824 -SSB_1940 390.332 91.5793 -SSB_1941 390.023 91.5762 -SSB_1942 389.642 91.5725 -SSB_1943 389.288 91.5691 -SSB_1944 388.839 91.5649 -SSB_1945 388.49 91.5619 -SSB_1946 388.053 91.5581 -SSB_1947 387.188 91.5495 -SSB_1948 386.146 91.5386 -SSB_1949 384.969 91.5268 -SSB_1950 383.879 91.5166 -SSB_1951 382.982 91.5095 -SSB_1952 381.826 91.5001 -SSB_1953 380.634 91.4903 -SSB_1954 379.636 91.4833 -SSB_1955 378.672 91.4774 -SSB_1956 377.915 91.4742 -SSB_1957 377.221 91.4721 -SSB_1958 376.508 91.4696 -SSB_1959 376.044 91.4699 -SSB_1960 375.686 91.4714 -SSB_1961 375.287 91.472 -SSB_1962 374.896 91.4722 -SSB_1963 374.448 91.4714 -SSB_1964 373.854 91.4685 -SSB_1965 373.126 91.4639 -SSB_1966 372.348 91.459 -SSB_1967 371.475 91.4532 -SSB_1968 370.738 91.4496 -SSB_1969 370.509 91.4526 -SSB_1970 370.004 91.4525 -SSB_1971 369.173 91.4478 -SSB_1972 368.411 91.4439 -SSB_1973 367.215 91.4352 -SSB_1974 365.26 91.4182 -SSB_1975 363.396 91.4037 -SSB_1976 361.595 91.3919 -SSB_1977 359.579 91.38 -SSB_1978 358.327 91.3791 -SSB_1979 355.018 91.3541 -SSB_1980 352.967 91.3456 -SSB_1981 349.579 91.3229 -SSB_1982 343.221 91.8723 -SSB_1983 343.932 93.8394 -SSB_1984 328.987 92.6341 -SSB_1985 346.453 98.3553 -SSB_1986 379.698 108.275 -SSB_1987 447.649 127.27 -SSB_1988 480.275 138.385 -SSB_1989 496.889 142.57 -SSB_1990 492.69 138.126 -SSB_1991 453.09 124.092 -SSB_1992 399.169 106.633 -SSB_1993 345.252 90.2325 -SSB_1994 304.794 77.0279 -SSB_1995 275.307 68.6424 -SSB_1996 266.379 64.904 -SSB_1997 252.217 61.069 -SSB_1998 237.025 58.1639 -SSB_1999 249.358 58.8529 -SSB_2000 253.796 60.2529 -SSB_2001 254.025 61.1776 -SSB_2002 308.924 76.783 -SSB_2003 353.288 92.4377 -SSB_2004 373.032 99.7254 -SSB_2005 370.208 99.7156 -SSB_2006 346.168 94.1942 -SSB_2007 318.884 88.2082 -SSB_2008 277.732 78.8102 -SSB_2009 265.763 78.1758 -SSB_2010 282.466 85.6626 -SSB_2011 362.243 111.543 -SSB_2012 415.182 128.617 -SSB_2013 403.169 125.767 -SSB_2014 354.513 112.479 -SSB_2015 315.975 101.893 -SSB_2016 283.094 96.2219 -SSB_2017 269.76 98.6155 -SSB_2018 265.721 104.133 -SSB_2019 265.115 109.732 -SSB_2020 265.477 114.455 -SSB_2021 265.967 118.182 -SSB_2022 266.378 121.036 -SSB_2023 266.68 123.182 -SSB_2024 266.899 124.779 +SSB_Virgin 395.856 91.4526 +SSB_Initial 395.856 91.4526 +SSB_1915 395.856 91.4526 +SSB_1916 394.796 91.4408 +SSB_1917 393.873 91.4295 +SSB_1918 393.088 91.4207 +SSB_1919 392.481 91.4147 +SSB_1920 391.816 91.4086 +SSB_1921 391.147 91.4026 +SSB_1922 391.094 91.4035 +SSB_1923 391.176 91.4066 +SSB_1924 391.159 91.4082 +SSB_1925 391.052 91.4081 +SSB_1926 390.891 91.407 +SSB_1927 390.717 91.4056 +SSB_1928 390.569 91.4046 +SSB_1929 390.45 91.4039 +SSB_1930 390.324 91.4031 +SSB_1931 390.188 91.4021 +SSB_1932 390.137 91.402 +SSB_1933 390.323 91.4047 +SSB_1934 390.598 91.4085 +SSB_1935 390.626 91.4092 +SSB_1936 390.566 91.4084 +SSB_1937 390.406 91.4063 +SSB_1938 390.132 91.403 +SSB_1939 389.857 91.3999 +SSB_1940 389.563 91.3968 +SSB_1941 389.255 91.3937 +SSB_1942 388.874 91.39 +SSB_1943 388.52 91.3866 +SSB_1944 388.071 91.3823 +SSB_1945 387.722 91.3793 +SSB_1946 387.286 91.3755 +SSB_1947 386.421 91.3669 +SSB_1948 385.379 91.3561 +SSB_1949 384.203 91.3441 +SSB_1950 383.113 91.334 +SSB_1951 382.215 91.3268 +SSB_1952 381.06 91.3174 +SSB_1953 379.868 91.3076 +SSB_1954 378.87 91.3006 +SSB_1955 377.907 91.2947 +SSB_1956 377.15 91.2915 +SSB_1957 376.457 91.2893 +SSB_1958 375.743 91.2868 +SSB_1959 375.279 91.2871 +SSB_1960 374.922 91.2886 +SSB_1961 374.523 91.2893 +SSB_1962 374.131 91.2895 +SSB_1963 373.684 91.2886 +SSB_1964 373.09 91.2857 +SSB_1965 372.363 91.2812 +SSB_1966 371.585 91.2762 +SSB_1967 370.712 91.2704 +SSB_1968 369.974 91.2668 +SSB_1969 369.746 91.2698 +SSB_1970 369.241 91.2697 +SSB_1971 368.41 91.265 +SSB_1972 367.648 91.2611 +SSB_1973 366.452 91.2524 +SSB_1974 364.498 91.2354 +SSB_1975 362.635 91.2208 +SSB_1976 360.835 91.209 +SSB_1977 358.819 91.1971 +SSB_1978 357.568 91.1961 +SSB_1979 354.261 91.171 +SSB_1980 352.21 91.1625 +SSB_1981 348.823 91.1398 +SSB_1982 342.46 91.6875 +SSB_1983 343.157 93.6501 +SSB_1984 328.222 92.4473 +SSB_1985 345.644 98.1573 +SSB_1986 378.808 108.058 +SSB_1987 446.595 127.017 +SSB_1988 479.118 138.112 +SSB_1989 495.685 142.292 +SSB_1990 491.508 137.86 +SSB_1991 452.014 123.857 +SSB_1992 398.232 106.433 +SSB_1993 344.447 90.065 +SSB_1994 304.087 76.8867 +SSB_1995 274.67 68.5178 +SSB_1996 265.764 64.7874 +SSB_1997 251.627 60.9603 +SSB_1998 236.464 58.0601 +SSB_1999 248.783 58.7475 +SSB_2000 253.226 60.143 +SSB_2001 253.466 61.0637 +SSB_2002 308.28 76.6329 +SSB_2003 352.559 92.2521 +SSB_2004 372.255 99.5245 +SSB_2005 369.441 99.5145 +SSB_2006 345.449 94.0038 +SSB_2007 318.223 88.0285 +SSB_2008 277.151 78.6484 +SSB_2009 265.217 78.0122 +SSB_2010 281.903 85.4798 +SSB_2011 361.555 111.3 +SSB_2012 414.405 128.336 +SSB_2013 402.412 125.493 +SSB_2014 353.837 112.235 +SSB_2015 315.356 101.671 +SSB_2016 282.498 96.0108 +SSB_2017 269.161 98.3998 +SSB_2018 265.111 103.907 +SSB_2019 264.493 109.495 +SSB_2020 264.844 114.209 +SSB_2021 265.326 117.929 +SSB_2022 265.731 120.779 +SSB_2023 266.027 122.922 +SSB_2024 266.243 124.517 #_Recruitment -Recr_Virgin 1451.17 312.899 -Recr_Initial 1451.17 312.899 -Recr_1915 1451.21 312.898 -Recr_1916 1450.79 312.9 -Recr_1917 1450.43 312.902 -Recr_1918 1450.12 312.904 -Recr_1919 1449.87 312.906 -Recr_1920 1449.61 312.909 -Recr_1921 1449.34 312.912 -Recr_1922 1449.32 312.913 -Recr_1923 1449.35 312.913 -Recr_1924 1449.35 312.914 -Recr_1925 1449.3 312.915 -Recr_1926 1449.24 312.916 -Recr_1927 1449.17 312.917 -Recr_1928 1449.11 312.917 -Recr_1929 1449.06 312.918 -Recr_1930 1449.01 312.919 -Recr_1931 1448.96 312.92 -Recr_1932 1448.94 312.92 -Recr_1933 1449.01 312.919 -Recr_1934 1449.12 312.919 -Recr_1935 1449.13 312.919 -Recr_1936 1449.11 312.919 -Recr_1937 1449.05 312.919 -Recr_1938 1448.93 312.92 -Recr_1939 1448.82 312.922 -Recr_1940 1448.71 312.923 -Recr_1941 1448.58 312.924 -Recr_1942 1448.43 312.926 -Recr_1943 1448.28 312.928 -Recr_1944 1448.1 312.931 -Recr_1945 1447.96 312.933 -Recr_1946 1447.78 312.936 -Recr_1947 1447.43 312.941 -Recr_1948 1447 312.948 -Recr_1949 1446.52 312.956 -Recr_1950 1446.07 312.964 -Recr_1951 1445.69 312.972 -Recr_1952 1445.21 312.983 -Recr_1953 1444.71 312.995 -Recr_1954 1444.29 313.006 -Recr_1955 1443.88 313.017 -Recr_1956 1443.55 313.027 -Recr_1957 1443.26 313.036 -Recr_1958 1442.95 313.046 -Recr_1959 1442.75 313.054 -Recr_1960 1442.6 313.06 -Recr_1961 1442.42 313.067 -Recr_1962 1442.26 313.073 -Recr_1963 1442.06 313.081 -Recr_1964 1441.8 313.089 -Recr_1965 1441.49 313.1 -Recr_1966 1441.15 313.112 -Recr_1967 1440.76 313.126 -Recr_1968 1440.44 313.138 -Recr_1969 1440.34 313.144 -Recr_1970 1440.11 313.153 -Recr_1971 1439.74 313.168 -Recr_1972 1439.4 313.182 -Recr_1973 1438.87 313.203 -Recr_1974 1437.98 313.238 -Recr_1975 1437.13 313.275 -Recr_1976 1436.31 313.314 -Recr_1977 1435.37 313.36 -Recr_1978 1434.79 313.393 -Recr_1979 1433.22 313.476 -Recr_1980 1285.59 492.018 -Recr_1981 1434.79 517.365 -Recr_1982 990.954 391.891 -Recr_1983 2046.36 681.913 -Recr_1984 2111.34 710.752 -Recr_1985 3221.49 1049.88 -Recr_1986 1853.66 727.385 -Recr_1987 1890.1 724.558 -Recr_1988 1506.25 663.784 -Recr_1989 730.9 437.284 -Recr_1990 722.364 423.607 -Recr_1991 753.754 438.166 -Recr_1992 984 503.763 -Recr_1993 714.822 285.617 -Recr_1994 1203.9 383.904 -Recr_1995 706.82 270.707 -Recr_1996 869.224 317.171 -Recr_1997 1536.4 498.427 -Recr_1998 1077.71 399.465 -Recr_1999 1056.17 356.748 -Recr_2000 3112.97 748.633 -Recr_2001 2273.95 568.455 -Recr_2002 1372.24 376.12 -Recr_2003 1086.28 303.346 -Recr_2004 808.794 236.929 -Recr_2005 944.928 266.658 -Recr_2006 431.877 144.666 -Recr_2007 1494.67 418.727 -Recr_2008 1827.47 524.973 -Recr_2009 3523.82 1002.48 -Recr_2010 1854.81 570.749 -Recr_2011 487.367 204.892 -Recr_2012 446.98 239.479 -Recr_2013 996.071 584.294 -Recr_2014 1432.98 985.586 -Recr_2015 1412.6 972.178 -Recr_2016 1391.45 958.628 -Recr_2017 1381.63 952.458 -Recr_2018 1378.49 950.645 -Recr_2019 1378.01 950.551 -Recr_2020 1378.3 950.933 -Recr_2021 1378.68 951.353 -Recr_2022 1379.01 951.703 -Recr_2023 1379.24 951.967 -Recr_2024 1379.41 952.162 +Recr_Virgin 1448.83 312.359 +Recr_Initial 1448.83 312.359 +Recr_1915 1448.87 312.359 +Recr_1916 1448.45 312.361 +Recr_1917 1448.09 312.363 +Recr_1918 1447.78 312.365 +Recr_1919 1447.53 312.367 +Recr_1920 1447.27 312.37 +Recr_1921 1447 312.373 +Recr_1922 1446.98 312.373 +Recr_1923 1447.01 312.374 +Recr_1924 1447.01 312.375 +Recr_1925 1446.96 312.375 +Recr_1926 1446.9 312.376 +Recr_1927 1446.83 312.377 +Recr_1928 1446.77 312.378 +Recr_1929 1446.72 312.379 +Recr_1930 1446.67 312.379 +Recr_1931 1446.62 312.38 +Recr_1932 1446.6 312.381 +Recr_1933 1446.67 312.38 +Recr_1934 1446.78 312.379 +Recr_1935 1446.79 312.379 +Recr_1936 1446.77 312.379 +Recr_1937 1446.7 312.38 +Recr_1938 1446.59 312.381 +Recr_1939 1446.48 312.382 +Recr_1940 1446.37 312.383 +Recr_1941 1446.24 312.385 +Recr_1942 1446.09 312.387 +Recr_1943 1445.94 312.389 +Recr_1944 1445.76 312.391 +Recr_1945 1445.62 312.394 +Recr_1946 1445.44 312.396 +Recr_1947 1445.09 312.402 +Recr_1948 1444.66 312.408 +Recr_1949 1444.18 312.416 +Recr_1950 1443.73 312.425 +Recr_1951 1443.35 312.433 +Recr_1952 1442.87 312.444 +Recr_1953 1442.37 312.455 +Recr_1954 1441.94 312.466 +Recr_1955 1441.54 312.478 +Recr_1956 1441.21 312.487 +Recr_1957 1440.92 312.497 +Recr_1958 1440.61 312.507 +Recr_1959 1440.41 312.515 +Recr_1960 1440.26 312.521 +Recr_1961 1440.08 312.528 +Recr_1962 1439.91 312.534 +Recr_1963 1439.72 312.541 +Recr_1964 1439.46 312.55 +Recr_1965 1439.14 312.561 +Recr_1966 1438.8 312.573 +Recr_1967 1438.42 312.587 +Recr_1968 1438.09 312.599 +Recr_1969 1437.99 312.605 +Recr_1970 1437.77 312.614 +Recr_1971 1437.4 312.629 +Recr_1972 1437.06 312.643 +Recr_1973 1436.52 312.664 +Recr_1974 1435.64 312.699 +Recr_1975 1434.79 312.736 +Recr_1976 1433.96 312.775 +Recr_1977 1433.03 312.821 +Recr_1978 1432.44 312.855 +Recr_1979 1430.88 312.938 +Recr_1980 1283.02 491.132 +Recr_1981 1432.1 516.454 +Recr_1982 988.969 391.175 +Recr_1983 2042.48 680.741 +Recr_1984 2107.18 709.52 +Recr_1985 3215.18 1048.11 +Recr_1986 1849.82 726.058 +Recr_1987 1886.38 723.305 +Recr_1988 1503.63 662.709 +Recr_1989 729.852 436.689 +Recr_1990 721.311 423.018 +Recr_1991 752.603 437.526 +Recr_1992 982.475 502.996 +Recr_1993 713.361 285.102 +Recr_1994 1201.61 383.267 +Recr_1995 705.41 270.228 +Recr_1996 867.806 316.667 +Recr_1997 1533.84 497.673 +Recr_1998 1076.36 398.89 +Recr_1999 1054.61 356.22 +Recr_2000 3108.61 747.373 +Recr_2001 2270.9 567.491 +Recr_2002 1369.92 375.485 +Recr_2003 1084.64 302.823 +Recr_2004 807.526 236.516 +Recr_2005 943.568 266.18 +Recr_2006 431.262 144.42 +Recr_2007 1492.66 417.949 +Recr_2008 1824.99 523.997 +Recr_2009 3519.04 1000.59 +Recr_2010 1852.27 569.713 +Recr_2011 486.668 204.564 +Recr_2012 446.225 239.067 +Recr_2013 994.293 583.23 +Recr_2014 1430.67 983.986 +Recr_2015 1410.32 970.593 +Recr_2016 1389.18 957.048 +Recr_2017 1379.35 950.875 +Recr_2018 1376.19 949.056 +Recr_2019 1375.71 948.957 +Recr_2020 1375.98 949.335 +Recr_2021 1376.36 949.752 +Recr_2022 1376.68 950.1 +Recr_2023 1376.91 950.362 +Recr_2024 1377.08 950.556 #_SPR Basis= (1-SPR)/(1-SPR_45%) -SPRratio_1915 0.0244074 0.00539762 -SPRratio_1916 0.0230325 0.00510705 -SPRratio_1917 0.0230707 0.00512399 -SPRratio_1918 0.0224172 0.0049861 -SPRratio_1919 0.0266756 0.00593228 -SPRratio_1920 0.0295711 0.00657782 -SPRratio_1921 0.0181707 0.00406096 -SPRratio_1922 0.0166609 0.00372624 -SPRratio_1923 0.019542 0.0043655 -SPRratio_1924 0.021736 0.00485189 -SPRratio_1925 0.0231803 0.00517316 -SPRratio_1926 0.0238746 0.00532926 -SPRratio_1927 0.0238824 0.00533275 -SPRratio_1928 0.0238886 0.00533555 -SPRratio_1929 0.0246454 0.00550382 -SPRratio_1930 0.0254028 0.00567236 -SPRratio_1931 0.0239051 0.00534302 -SPRratio_1932 0.0188911 0.00422905 -SPRratio_1933 0.0166834 0.00373661 -SPRratio_1934 0.0217572 0.0048616 -SPRratio_1935 0.0231978 0.00518121 -SPRratio_1936 0.0253917 0.0056675 -SPRratio_1937 0.0282737 0.00630699 -SPRratio_1938 0.0289742 0.00646579 -SPRratio_1939 0.0304241 0.00678951 -SPRratio_1940 0.0318752 0.00711377 -SPRratio_1941 0.0347606 0.00775477 -SPRratio_1942 0.0355341 0.00793044 -SPRratio_1943 0.0391047 0.00872338 -SPRratio_1944 0.0384535 0.00858664 -SPRratio_1945 0.0420234 0.00937921 -SPRratio_1946 0.0534647 0.0118977 -SPRratio_1947 0.0599779 0.0133407 -SPRratio_1948 0.0664395 0.0147763 -SPRratio_1949 0.0686749 0.0152965 -SPRratio_1950 0.0688074 0.0153559 -SPRratio_1951 0.0788224 0.0175603 -SPRratio_1952 0.0839645 0.0187148 -SPRratio_1953 0.0841477 0.0187972 -SPRratio_1954 0.08786 0.0196376 -SPRratio_1955 0.0872726 0.0195463 -SPRratio_1956 0.0894781 0.020054 -SPRratio_1957 0.0931568 0.0208795 -SPRratio_1958 0.0904472 0.0203192 -SPRratio_1959 0.0905181 0.0203521 -SPRratio_1960 0.0934098 0.0209961 -SPRratio_1961 0.0948966 0.021337 -SPRratio_1962 0.0977976 0.021985 -SPRratio_1963 0.102859 0.0231037 -SPRratio_1964 0.107882 0.0242204 -SPRratio_1965 0.111519 0.0250432 -SPRratio_1966 0.116635 0.0261857 -SPRratio_1967 0.116824 0.026272 -SPRratio_1968 0.108504 0.024505 -SPRratio_1969 0.117007 0.026357 -SPRratio_1970 0.12629 0.0283873 -SPRratio_1971 0.127168 0.0286269 -SPRratio_1972 0.139935 0.0314096 -SPRratio_1973 0.158309 0.0353827 -SPRratio_1974 0.16291 0.0364872 -SPRratio_1975 0.169312 0.0379694 -SPRratio_1976 0.178004 0.0399076 -SPRratio_1977 0.172735 0.0389675 -SPRratio_1978 0.215138 0.0477511 -SPRratio_1979 0.207759 0.0466328 -SPRratio_1980 0.246474 0.0547933 -SPRratio_1981 0.232192 0.0548359 -SPRratio_1982 0.141525 0.0354328 -SPRratio_1983 0.250154 0.061127 -SPRratio_1984 0.107609 0.0284177 -SPRratio_1985 0.0899165 0.0241153 -SPRratio_1986 0.107321 0.0284205 -SPRratio_1987 0.194525 0.0499131 -SPRratio_1988 0.109123 0.0290083 -SPRratio_1989 0.0667216 0.0174797 -SPRratio_1990 0.108403 0.0270188 -SPRratio_1991 0.159263 0.0377819 -SPRratio_1992 0.226355 0.0510386 -SPRratio_1993 0.29315 0.0612559 -SPRratio_1994 0.131562 0.0297282 -SPRratio_1995 0.105996 0.0236697 -SPRratio_1996 0.157382 0.0339659 -SPRratio_1997 0.264579 0.0538831 -SPRratio_1998 0.146935 0.0310934 -SPRratio_1999 0.279933 0.0540668 -SPRratio_2000 0.320515 0.06173 -SPRratio_2001 0.35846 0.0689926 -SPRratio_2002 0.511388 0.0912104 -SPRratio_2003 0.353485 0.0747175 -SPRratio_2004 0.194821 0.0455536 -SPRratio_2005 0.176724 0.0420277 -SPRratio_2006 0.204513 0.0489188 -SPRratio_2007 0.248552 0.0588912 -SPRratio_2008 0.266532 0.0642841 -SPRratio_2009 0.259899 0.0648238 -SPRratio_2010 0.230326 0.0599247 -SPRratio_2011 0.220874 0.0586731 -SPRratio_2012 0.213496 0.0575029 -SPRratio_2013 0.242397 0.0648618 -SPRratio_2014 0.209828 0.0589212 -SPRratio_2015 0.527542 0.0922117 -SPRratio_2016 0.52773 0.121543 -SPRratio_2017 0.527911 0.138785 -SPRratio_2018 0.528079 0.154623 -SPRratio_2019 0.528227 0.168701 -SPRratio_2020 0.528356 0.179929 -SPRratio_2021 0.528466 0.188283 -SPRratio_2022 0.528561 0.194319 -SPRratio_2023 0.528641 0.198652 -SPRratio_2024 0.52871 0.201764 +SPRratio_1915 0.0244481 0.00540582 +SPRratio_1916 0.023071 0.00511485 +SPRratio_1917 0.0231093 0.00513184 +SPRratio_1918 0.0224547 0.00499377 +SPRratio_1919 0.0267202 0.00594138 +SPRratio_1920 0.0296206 0.00658792 +SPRratio_1921 0.0182012 0.00406727 +SPRratio_1922 0.0166889 0.00373202 +SPRratio_1923 0.0195748 0.00437226 +SPRratio_1924 0.0217725 0.00485941 +SPRratio_1925 0.0232192 0.00518117 +SPRratio_1926 0.0239147 0.0053375 +SPRratio_1927 0.0239225 0.005341 +SPRratio_1928 0.0239287 0.00534381 +SPRratio_1929 0.0246868 0.00551235 +SPRratio_1930 0.0254455 0.00568115 +SPRratio_1931 0.0239453 0.00535131 +SPRratio_1932 0.0189229 0.00423564 +SPRratio_1933 0.0167115 0.00374243 +SPRratio_1934 0.0217938 0.00486915 +SPRratio_1935 0.0232368 0.00518924 +SPRratio_1936 0.0254344 0.00567628 +SPRratio_1937 0.0283211 0.00631674 +SPRratio_1938 0.0290228 0.00647579 +SPRratio_1939 0.0304751 0.00680001 +SPRratio_1940 0.0319287 0.00712478 +SPRratio_1941 0.0348189 0.00776676 +SPRratio_1942 0.0355938 0.00794272 +SPRratio_1943 0.0391704 0.00873686 +SPRratio_1944 0.0385181 0.00859995 +SPRratio_1945 0.0420939 0.00939373 +SPRratio_1946 0.0535542 0.011916 +SPRratio_1947 0.0600783 0.0133612 +SPRratio_1948 0.0665507 0.014799 +SPRratio_1949 0.06879 0.01532 +SPRratio_1950 0.0689229 0.0153797 +SPRratio_1951 0.0789545 0.0175874 +SPRratio_1952 0.0841053 0.0187437 +SPRratio_1953 0.0842891 0.0188263 +SPRratio_1954 0.0880077 0.0196681 +SPRratio_1955 0.0874197 0.0195768 +SPRratio_1956 0.089629 0.0200853 +SPRratio_1957 0.0933139 0.0209121 +SPRratio_1958 0.0906001 0.0203511 +SPRratio_1959 0.0906712 0.0203841 +SPRratio_1960 0.0935677 0.0210291 +SPRratio_1961 0.0950571 0.0213705 +SPRratio_1962 0.0979629 0.0220196 +SPRratio_1963 0.103033 0.02314 +SPRratio_1964 0.108064 0.0242583 +SPRratio_1965 0.111708 0.0250824 +SPRratio_1966 0.116831 0.0262267 +SPRratio_1967 0.117022 0.0263133 +SPRratio_1968 0.108689 0.0245439 +SPRratio_1969 0.117205 0.0263986 +SPRratio_1970 0.126503 0.0284319 +SPRratio_1971 0.127383 0.028672 +SPRratio_1972 0.140171 0.0314588 +SPRratio_1973 0.158572 0.0354367 +SPRratio_1974 0.16318 0.0365429 +SPRratio_1975 0.169593 0.0380275 +SPRratio_1976 0.178295 0.0399674 +SPRratio_1977 0.17302 0.039027 +SPRratio_1978 0.215478 0.0478192 +SPRratio_1979 0.208095 0.0467021 +SPRratio_1980 0.246874 0.0548742 +SPRratio_1981 0.232589 0.0549264 +SPRratio_1982 0.14178 0.0354981 +SPRratio_1983 0.250606 0.0612391 +SPRratio_1984 0.107813 0.0284761 +SPRratio_1985 0.0900932 0.0241677 +SPRratio_1986 0.107528 0.0284816 +SPRratio_1987 0.194898 0.0500186 +SPRratio_1988 0.109341 0.0290755 +SPRratio_1989 0.066853 0.0175202 +SPRratio_1990 0.108611 0.0270788 +SPRratio_1991 0.159561 0.0378617 +SPRratio_1992 0.226762 0.0511398 +SPRratio_1993 0.293659 0.0613702 +SPRratio_1994 0.131806 0.0297927 +SPRratio_1995 0.106196 0.0237229 +SPRratio_1996 0.157677 0.0340414 +SPRratio_1997 0.26502 0.053984 +SPRratio_1998 0.147178 0.0311536 +SPRratio_1999 0.28034 0.0541497 +SPRratio_2000 0.320987 0.0618192 +SPRratio_2001 0.358942 0.0690707 +SPRratio_2002 0.511982 0.0912775 +SPRratio_2003 0.353976 0.0747985 +SPRratio_2004 0.195088 0.045607 +SPRratio_2005 0.176969 0.0420779 +SPRratio_2006 0.204814 0.0489799 +SPRratio_2007 0.24891 0.0589615 +SPRratio_2008 0.266897 0.0643519 +SPRratio_2009 0.260245 0.0648865 +SPRratio_2010 0.230617 0.0599746 +SPRratio_2011 0.221142 0.0587145 +SPRratio_2012 0.213758 0.0575432 +SPRratio_2013 0.242696 0.0649079 +SPRratio_2014 0.210113 0.0589759 +SPRratio_2015 0.528153 0.0922738 +SPRratio_2016 0.52834 0.121574 +SPRratio_2017 0.52852 0.138818 +SPRratio_2018 0.528686 0.154667 +SPRratio_2019 0.528833 0.168759 +SPRratio_2020 0.528961 0.180001 +SPRratio_2021 0.52907 0.188368 +SPRratio_2022 0.529164 0.194416 +SPRratio_2023 0.529244 0.198759 +SPRratio_2024 0.529312 0.201881 #_F Basis= (F)/(F45%SPR);_with_F=Exploit(bio) -F_1915 0.0131489 0.002833 -F_1916 0.0124047 0.00267909 -F_1917 0.0124276 0.00268903 -F_1918 0.0120541 0.00261219 -F_1919 0.014411 0.00312658 -F_1920 0.0159898 0.00347379 -F_1921 0.00975764 0.00212276 -F_1922 0.00898316 0.00195423 -F_1923 0.0105426 0.00229299 -F_1924 0.0117111 0.00254736 -F_1925 0.0124952 0.00271867 -F_1926 0.0128937 0.00280641 -F_1927 0.0128983 0.00280847 -F_1928 0.0129021 0.00281014 -F_1929 0.0132928 0.00289593 -F_1930 0.0136839 0.00298194 -F_1931 0.0129122 0.00281458 -F_1932 0.0101714 0.00221734 -F_1933 0.00899725 0.00196053 -F_1934 0.0117244 0.00255329 -F_1935 0.0125061 0.00272357 -F_1936 0.0136774 0.00297915 -F_1937 0.0152464 0.00332209 -F_1938 0.0156499 0.003412 -F_1939 0.0164414 0.00358657 -F_1940 0.0172345 0.00376182 -F_1941 0.0188129 0.00410893 -F_1942 0.0192165 0.00420044 -F_1943 0.0211962 0.00463654 -F_1944 0.0208197 0.00455846 -F_1945 0.0228031 0.00499623 -F_1946 0.0291199 0.00638612 -F_1947 0.0327191 0.00718907 -F_1948 0.03635 0.0080046 -F_1949 0.0376301 0.00830699 -F_1950 0.0377129 0.00834395 -F_1951 0.0433471 0.00960801 -F_1952 0.0462395 0.0102746 -F_1953 0.0463546 0.0103264 -F_1954 0.0484469 0.010815 -F_1955 0.0481455 0.0107698 -F_1956 0.049428 0.0110743 -F_1957 0.0515072 0.0115574 -F_1958 0.0499729 0.0112308 -F_1959 0.0500192 0.0112522 -F_1960 0.0516702 0.0116327 -F_1961 0.0525228 0.0118355 -F_1962 0.0541843 0.0122207 -F_1963 0.0570665 0.0128839 -F_1964 0.0599811 0.0135602 -F_1965 0.0621087 0.0140641 -F_1966 0.0650541 0.0147563 -F_1967 0.0651757 0.0148124 -F_1968 0.0603795 0.0137442 -F_1969 0.0652978 0.0148697 -F_1970 0.0706791 0.0161142 -F_1971 0.0712248 0.0162703 -F_1972 0.0787204 0.0180129 -F_1973 0.0916454 0.0210279 -F_1974 0.0950719 0.021907 -F_1975 0.0992615 0.0229632 -F_1976 0.107992 0.0250804 -F_1977 0.103827 0.0242125 -F_1978 0.138283 0.0323337 -F_1979 0.129715 0.0305422 -F_1980 0.15359 0.0363327 -F_1981 0.142048 0.0351682 -F_1982 0.0855526 0.0218358 -F_1983 0.150423 0.0391002 -F_1984 0.0654126 0.0173699 -F_1985 0.0522038 0.0139232 -F_1986 0.0640408 0.0169294 -F_1987 0.116831 0.0310999 -F_1988 0.0634806 0.0170247 -F_1989 0.0380516 0.00997332 -F_1990 0.060766 0.0155104 -F_1991 0.0873229 0.0216248 -F_1992 0.129476 0.0311038 -F_1993 0.172809 0.0392201 -F_1994 0.0834719 0.0192587 -F_1995 0.0653796 0.0146516 -F_1996 0.0958034 0.0212736 -F_1997 0.192785 0.0426839 -F_1998 0.105722 0.0224548 -F_1999 0.219493 0.0461672 -F_2000 0.233824 0.0499258 -F_2001 0.246553 0.0534803 -F_2002 0.37715 0.08411 -F_2003 0.238598 0.0564416 -F_2004 0.142258 0.0349552 -F_2005 0.140558 0.0351229 -F_2006 0.148587 0.0377371 -F_2007 0.194668 0.0505411 -F_2008 0.212927 0.0568486 -F_2009 0.192342 0.0529611 -F_2010 0.144564 0.040608 -F_2011 0.139635 0.0398176 -F_2012 0.149373 0.043261 -F_2013 0.193968 0.0571026 -F_2014 0.161411 0.0494298 -F_2015 0.466295 0.102189 -F_2016 0.444368 0.129102 -F_2017 0.428995 0.146898 -F_2018 0.421296 0.161217 -F_2019 0.418295 0.172383 -F_2020 0.417415 0.180699 -F_2021 0.417295 0.18676 -F_2022 0.417393 0.191143 -F_2023 0.41752 0.194307 -F_2024 0.417638 0.196595 +F_1915 0.013169 0.00283693 +F_1916 0.0124238 0.00268282 +F_1917 0.0124468 0.0026928 +F_1918 0.0120727 0.00261586 +F_1919 0.0144333 0.00313099 +F_1920 0.0160145 0.0034787 +F_1921 0.00977275 0.00212577 +F_1922 0.00899707 0.001957 +F_1923 0.0105589 0.00229624 +F_1924 0.0117292 0.00255097 +F_1925 0.0125145 0.00272253 +F_1926 0.0129136 0.00281039 +F_1927 0.0129183 0.00281246 +F_1928 0.0129221 0.00281414 +F_1929 0.0133134 0.00290005 +F_1930 0.0137052 0.00298619 +F_1931 0.0129322 0.00281859 +F_1932 0.0101872 0.0022205 +F_1933 0.0090112 0.00196332 +F_1934 0.0117425 0.00255692 +F_1935 0.0125255 0.00272745 +F_1936 0.0136986 0.00298339 +F_1937 0.01527 0.00332682 +F_1938 0.0156741 0.00341687 +F_1939 0.0164669 0.00359169 +F_1940 0.0172612 0.00376719 +F_1941 0.0188421 0.00411481 +F_1942 0.0192464 0.00420646 +F_1943 0.0212293 0.0046432 +F_1944 0.0208521 0.00456502 +F_1945 0.0228387 0.00500344 +F_1946 0.0291653 0.00639535 +F_1947 0.0327703 0.00719951 +F_1948 0.0364071 0.00801627 +F_1949 0.0376893 0.00831918 +F_1950 0.0377724 0.00835625 +F_1951 0.0434156 0.00962224 +F_1952 0.0463127 0.0102899 +F_1953 0.0464282 0.0103419 +F_1954 0.048524 0.0108313 +F_1955 0.0482223 0.0107861 +F_1956 0.0495069 0.0110911 +F_1957 0.0515896 0.011575 +F_1958 0.050053 0.0112479 +F_1959 0.0500994 0.0112695 +F_1960 0.0517532 0.0116506 +F_1961 0.0526072 0.0118537 +F_1962 0.0542714 0.0122396 +F_1963 0.0571584 0.0129038 +F_1964 0.0600778 0.0135812 +F_1965 0.062209 0.0140859 +F_1966 0.0651593 0.0147793 +F_1967 0.0652813 0.0148356 +F_1968 0.0604776 0.0137658 +F_1969 0.0654038 0.0148931 +F_1970 0.0707941 0.0161397 +F_1971 0.0713409 0.0162961 +F_1972 0.0788489 0.0180416 +F_1973 0.0917954 0.0210616 +F_1974 0.0952282 0.0219424 +F_1975 0.0994254 0.0230006 +F_1976 0.108171 0.0251216 +F_1977 0.104 0.0242527 +F_1978 0.138514 0.0323877 +F_1979 0.129933 0.0305939 +F_1980 0.15385 0.0363949 +F_1981 0.142299 0.0352338 +F_1982 0.0857083 0.0218789 +F_1983 0.150703 0.039181 +F_1984 0.0655369 0.0174073 +F_1985 0.0523038 0.0139537 +F_1986 0.0641636 0.0169671 +F_1987 0.117058 0.0311715 +F_1988 0.0636063 0.0170654 +F_1989 0.0381261 0.009997 +F_1990 0.0608826 0.0155462 +F_1991 0.0874872 0.0216733 +F_1992 0.129716 0.0311722 +F_1993 0.173125 0.0393051 +F_1994 0.0836292 0.0193028 +F_1995 0.065503 0.0146857 +F_1996 0.095986 0.0213242 +F_1997 0.193147 0.0427829 +F_1998 0.105917 0.0225054 +F_1999 0.219873 0.0462583 +F_2000 0.234221 0.0500188 +F_2001 0.246942 0.0535614 +F_2002 0.377726 0.0842258 +F_2003 0.238981 0.0565283 +F_2004 0.142491 0.0350107 +F_2005 0.140789 0.0351789 +F_2006 0.148829 0.0377954 +F_2007 0.194987 0.0506196 +F_2008 0.213264 0.0569281 +F_2009 0.192636 0.0530274 +F_2010 0.144773 0.0406508 +F_2011 0.139834 0.0398577 +F_2012 0.149588 0.0433059 +F_2013 0.194254 0.0571663 +F_2014 0.161661 0.0494926 +F_2015 0.467022 0.102348 +F_2016 0.44505 0.12924 +F_2017 0.429644 0.147044 +F_2018 0.421926 0.161381 +F_2019 0.418915 0.172563 +F_2020 0.418031 0.180895 +F_2021 0.417907 0.18697 +F_2022 0.418003 0.191365 +F_2023 0.418128 0.194539 +F_2024 0.418244 0.196836 #_Depletion Basis= 100%*Virgin_Biomass -Bratio_1916 0.997326 0.000589875 -Bratio_1917 0.995 0.00110082 -Bratio_1918 0.99302 0.00153798 -Bratio_1919 0.991489 0.001878 -Bratio_1920 0.989813 0.00225111 -Bratio_1921 0.988126 0.00262695 -Bratio_1922 0.987991 0.00266096 -Bratio_1923 0.988199 0.00262054 -Bratio_1924 0.988155 0.00263475 -Bratio_1925 0.987885 0.00269691 -Bratio_1926 0.987478 0.0027885 -Bratio_1927 0.987039 0.00288677 -Bratio_1928 0.986668 0.00297023 -Bratio_1929 0.986367 0.0030384 -Bratio_1930 0.986049 0.00311015 -Bratio_1931 0.985707 0.00318691 -Bratio_1932 0.985578 0.00321667 -Bratio_1933 0.986046 0.00311514 -Bratio_1934 0.986739 0.00296405 -Bratio_1935 0.986811 0.00294903 -Bratio_1936 0.986661 0.00298169 -Bratio_1937 0.986256 0.00307018 -Bratio_1938 0.985565 0.00322201 -Bratio_1939 0.984872 0.00337461 -Bratio_1940 0.984131 0.00353865 -Bratio_1941 0.983354 0.00371102 -Bratio_1942 0.982393 0.00392441 -Bratio_1943 0.981499 0.00412317 -Bratio_1944 0.980367 0.00437485 -Bratio_1945 0.979488 0.0045712 -Bratio_1946 0.978387 0.00481697 -Bratio_1947 0.976206 0.00530043 -Bratio_1948 0.973579 0.0058822 -Bratio_1949 0.970611 0.00654005 -Bratio_1950 0.967864 0.00715154 -Bratio_1951 0.9656 0.00765862 -Bratio_1952 0.962687 0.00831003 -Bratio_1953 0.95968 0.00898237 -Bratio_1954 0.957164 0.00954825 -Bratio_1955 0.954734 0.0100968 -Bratio_1956 0.952826 0.0105313 -Bratio_1957 0.951077 0.0109313 -Bratio_1958 0.949278 0.011342 -Bratio_1959 0.948108 0.0116142 -Bratio_1960 0.947207 0.0118271 -Bratio_1961 0.9462 0.0120622 -Bratio_1962 0.945213 0.0122913 -Bratio_1963 0.944086 0.0125506 -Bratio_1964 0.942588 0.0128905 -Bratio_1965 0.940752 0.0133043 -Bratio_1966 0.938791 0.0137464 -Bratio_1967 0.936589 0.0142422 -Bratio_1968 0.934729 0.0146642 -Bratio_1969 0.934153 0.0148061 -Bratio_1970 0.932881 0.0151005 -Bratio_1971 0.930784 0.0155745 -Bratio_1972 0.928864 0.0160097 -Bratio_1973 0.925848 0.0166866 -Bratio_1974 0.920918 0.0177867 -Bratio_1975 0.91622 0.0188401 -Bratio_1976 0.911679 0.0198639 -Bratio_1977 0.906595 0.0210147 -Bratio_1978 0.90344 0.0217451 -Bratio_1979 0.895096 0.02362 -Bratio_1980 0.889924 0.0247992 -Bratio_1981 0.881383 0.0267202 -Bratio_1982 0.865352 0.0417284 -Bratio_1983 0.867145 0.0574862 -Bratio_1984 0.829465 0.0696706 -Bratio_1985 0.873501 0.0833422 -Bratio_1986 0.957322 0.100669 -Bratio_1987 1.12864 0.128676 -Bratio_1988 1.2109 0.148229 -Bratio_1989 1.25279 0.158124 -Bratio_1990 1.2422 0.153016 -Bratio_1991 1.14236 0.134902 -Bratio_1992 1.00641 0.110737 -Bratio_1993 0.870473 0.0875893 -Bratio_1994 0.768468 0.0667435 -Bratio_1995 0.694122 0.0592562 -Bratio_1996 0.671613 0.0549576 -Bratio_1997 0.635908 0.0515317 -Bratio_1998 0.597604 0.0480951 -Bratio_1999 0.628698 0.0439207 -Bratio_2000 0.639889 0.042589 -Bratio_2001 0.640465 0.0421997 -Bratio_2002 0.77888 0.0505662 -Bratio_2003 0.890734 0.062799 -Bratio_2004 0.940514 0.0690818 -Bratio_2005 0.933395 0.0692929 -Bratio_2006 0.872782 0.0656746 -Bratio_2007 0.803992 0.0625554 -Bratio_2008 0.700237 0.0576401 -Bratio_2009 0.670061 0.0606531 -Bratio_2010 0.712174 0.0705172 -Bratio_2011 0.913312 0.0967665 -Bratio_2012 1.04679 0.115576 -Bratio_2013 1.0165 0.116639 -Bratio_2014 0.893824 0.106908 -Bratio_2015 0.796659 0.103734 -Bratio_2016 0.713757 0.114484 -Bratio_2017 0.680137 0.142381 -Bratio_2018 0.669955 0.170727 -Bratio_2019 0.668427 0.193633 -Bratio_2020 0.669339 0.211038 -Bratio_2021 0.670574 0.224037 -Bratio_2022 0.671611 0.233687 -Bratio_2023 0.672371 0.240817 -Bratio_2024 0.672924 0.246068 +Bratio_1916 0.997322 0.00059081 +Bratio_1917 0.994992 0.00110255 +Bratio_1918 0.993008 0.00154037 +Bratio_1919 0.991474 0.00188092 +Bratio_1920 0.989796 0.0022546 +Bratio_1921 0.988106 0.00263102 +Bratio_1922 0.98797 0.00266507 +Bratio_1923 0.988179 0.00262459 +Bratio_1924 0.988135 0.00263882 +Bratio_1925 0.987865 0.00270109 +Bratio_1926 0.987457 0.00279282 +Bratio_1927 0.987018 0.00289125 +Bratio_1928 0.986646 0.00297483 +Bratio_1929 0.986344 0.00304311 +Bratio_1930 0.986025 0.00311497 +Bratio_1931 0.985683 0.00319185 +Bratio_1932 0.985554 0.00322166 +Bratio_1933 0.986023 0.00311997 +Bratio_1934 0.986717 0.00296864 +Bratio_1935 0.986789 0.0029536 +Bratio_1936 0.986638 0.00298632 +Bratio_1937 0.986233 0.00307495 +Bratio_1938 0.985541 0.00322701 +Bratio_1939 0.984847 0.00337985 +Bratio_1940 0.984104 0.00354414 +Bratio_1941 0.983326 0.00371678 +Bratio_1942 0.982363 0.00393051 +Bratio_1943 0.981468 0.00412957 +Bratio_1944 0.980334 0.00438165 +Bratio_1945 0.979453 0.0045783 +Bratio_1946 0.97835 0.00482446 +Bratio_1947 0.976166 0.00530867 +Bratio_1948 0.973534 0.00589135 +Bratio_1949 0.970562 0.00655022 +Bratio_1950 0.96781 0.00716266 +Bratio_1951 0.965542 0.00767053 +Bratio_1952 0.962624 0.00832296 +Bratio_1953 0.959613 0.00899635 +Bratio_1954 0.957092 0.00956312 +Bratio_1955 0.954657 0.0101126 +Bratio_1956 0.952746 0.0105477 +Bratio_1957 0.950995 0.0109484 +Bratio_1958 0.949193 0.0113598 +Bratio_1959 0.948021 0.0116324 +Bratio_1960 0.947118 0.0118456 +Bratio_1961 0.946109 0.0120811 +Bratio_1962 0.945121 0.0123106 +Bratio_1963 0.943991 0.0125703 +Bratio_1964 0.94249 0.0129108 +Bratio_1965 0.940652 0.0133252 +Bratio_1966 0.938687 0.013768 +Bratio_1967 0.936482 0.0142646 +Bratio_1968 0.934619 0.0146873 +Bratio_1969 0.934041 0.0148294 +Bratio_1970 0.932767 0.0151243 +Bratio_1971 0.930666 0.0155991 +Bratio_1972 0.928744 0.016035 +Bratio_1973 0.925722 0.016713 +Bratio_1974 0.920785 0.0178147 +Bratio_1975 0.916079 0.0188696 +Bratio_1976 0.91153 0.0198949 +Bratio_1977 0.906439 0.0210472 +Bratio_1978 0.903279 0.0217786 +Bratio_1979 0.894924 0.0236558 +Bratio_1980 0.889744 0.0248368 +Bratio_1981 0.881188 0.0267609 +Bratio_1982 0.865113 0.041761 +Bratio_1983 0.866875 0.0575086 +Bratio_1984 0.829146 0.0696928 +Bratio_1985 0.873157 0.0833597 +Bratio_1986 0.956935 0.100683 +Bratio_1987 1.12818 0.128686 +Bratio_1988 1.21034 0.148241 +Bratio_1989 1.25219 0.158135 +Bratio_1990 1.24163 0.153022 +Bratio_1991 1.14187 0.134902 +Bratio_1992 1.006 0.110734 +Bratio_1993 0.870134 0.0875861 +Bratio_1994 0.768178 0.066739 +Bratio_1995 0.693863 0.0592517 +Bratio_1996 0.671366 0.0549517 +Bratio_1997 0.635654 0.0515257 +Bratio_1998 0.597349 0.0480938 +Bratio_1999 0.628468 0.0439193 +Bratio_2000 0.639694 0.0425916 +Bratio_2001 0.640299 0.0422052 +Bratio_2002 0.778768 0.0505725 +Bratio_2003 0.890625 0.0628049 +Bratio_2004 0.940381 0.0690908 +Bratio_2005 0.933271 0.0693026 +Bratio_2006 0.872665 0.0656846 +Bratio_2007 0.803887 0.0625636 +Bratio_2008 0.700132 0.0576479 +Bratio_2009 0.669983 0.0606529 +Bratio_2010 0.712135 0.0705044 +Bratio_2011 0.91335 0.0967303 +Bratio_2012 1.04686 0.115528 +Bratio_2013 1.01656 0.116595 +Bratio_2014 0.893854 0.106872 +Bratio_2015 0.796645 0.103706 +Bratio_2016 0.713638 0.114457 +Bratio_2017 0.679947 0.142354 +Bratio_2018 0.669717 0.170698 +Bratio_2019 0.668155 0.193602 +Bratio_2020 0.669042 0.211007 +Bratio_2021 0.670258 0.224007 +Bratio_2022 0.671282 0.233658 +Bratio_2023 0.672031 0.24079 +Bratio_2024 0.672576 0.246044 #_Mgmt_Quantity -SSB_unfished 396.626 85.5197 -Totbio_unfished 1426.28 318.069 -SmryBio_unfished 1426.28 318.069 -Recr_unfished 1451.17 312.899 -SSB_Btgt 158.65 34.2079 -SPR_Btgt 0.464286 1.42627e-17 -annF_Btgt 0.175439 0.00297838 -Dead_Catch_Btgt 128.704 27.816 -SSB_SPR 152.304 32.8396 -annF_SPR 0.182864 0.00309758 -Dead_Catch_SPR 130.355 28.1782 -SSB_MSY 152.304 32.8396 -SPR_MSY 0.45 2.12792e-10 -annF_MSY 0.182864 0.00309758 -Dead_Catch_MSY 130.355 28.1782 -Ret_Catch_MSY 130.355 28.1782 -B_MSY/SSB_unfished 0.384 2.38327e-10 -ForeCatch_2015 96.463 22.8426 -ForeCatch_2016 88.7619 20.961 -ForeCatch_2017 84.1892 19.8821 -ForeCatch_2018 82.0457 18.8587 -ForeCatch_2019 81.2411 17.721 -ForeCatch_2020 81.0253 16.6704 -ForeCatch_2021 81.0199 15.8616 -ForeCatch_2022 81.0751 15.3063 -ForeCatch_2023 81.1353 14.946 -ForeCatch_2024 81.189 14.7172 -OFLCatch_2015 95.9038 22.1834 -OFLCatch_2016 88.2019 19.6466 -OFLCatch_2017 83.6275 18.1992 -OFLCatch_2018 81.4805 16.8377 -OFLCatch_2019 80.6714 15.3354 -OFLCatch_2020 80.4511 13.9119 -OFLCatch_2021 80.4416 12.7617 -OFLCatch_2022 80.4931 11.923 -OFLCatch_2023 80.5502 11.3427 -OFLCatch_2024 80.6012 10.9493 +SSB_unfished 395.856 85.3442 +Totbio_unfished 1423.93 317.504 +SmryBio_unfished 1423.93 317.504 +Recr_unfished 1448.83 312.359 +SSB_Btgt 158.342 34.1377 +SPR_Btgt 0.464286 3.59796e-17 +annF_Btgt 0.17546 0.00297995 +Dead_Catch_Btgt 128.502 27.7685 +SSB_SPR 152.009 32.7722 +annF_SPR 0.182885 0.00309917 +Dead_Catch_SPR 130.15 28.13 +SSB_MSY 152.009 32.7722 +SPR_MSY 0.45 2.12451e-10 +annF_MSY 0.182885 0.00309917 +Dead_Catch_MSY 130.15 28.13 +Ret_Catch_MSY 130.15 28.13 +B_MSY/SSB_unfished 0.384 2.37945e-10 +ForeCatch_2015 96.4607 22.83 +ForeCatch_2016 88.7483 20.9423 +ForeCatch_2017 84.1681 19.8607 +ForeCatch_2018 82.0195 18.8354 +ForeCatch_2019 81.2112 17.6962 +ForeCatch_2020 80.9925 16.6448 +ForeCatch_2021 80.9849 15.8358 +ForeCatch_2022 81.0383 15.2807 +ForeCatch_2023 81.0972 14.9208 +ForeCatch_2024 81.1498 14.6925 +OFLCatch_2015 95.9066 22.1773 +OFLCatch_2016 88.1935 19.6385 +OFLCatch_2017 83.6116 18.1899 +OFLCatch_2018 81.4595 16.8276 +OFLCatch_2019 80.6468 15.325 +OFLCatch_2020 80.4237 13.9015 +OFLCatch_2021 80.4119 12.7515 +OFLCatch_2022 80.4618 11.9134 +OFLCatch_2023 80.5176 11.3335 +OFLCatch_2024 80.5676 10.9406 #_Extra_stdev -ln(SPB)_1915 5.98299 0.231037 -ln(SPB)_1964 5.92387 0.244663 -ln(SPB)_2014 5.87075 0.317277 -SmryBio_Virgin 1426.28 0.0 -SmryBio_Initial 1426.28 0.0 -SmryBio_1915 1426.28 0.0 -SmryBio_1916 1422.91 0.0 -SmryBio_1917 1420.28 0.0 -SmryBio_1918 1418.14 0.0 -SmryBio_1919 1416.52 0.0 -SmryBio_1920 1414.64 0.0 -SmryBio_1921 1412.73 0.0 -SmryBio_1922 1412.78 0.0 -SmryBio_1923 1413.09 0.0 -SmryBio_1924 1412.98 0.0 -SmryBio_1925 1412.6 0.0 -SmryBio_1926 1412.1 0.0 -SmryBio_1927 1411.58 0.0 -SmryBio_1928 1411.17 0.0 -SmryBio_1929 1410.84 0.0 -SmryBio_1930 1410.47 0.0 -SmryBio_1931 1410.07 0.0 -SmryBio_1932 1409.96 0.0 -SmryBio_1933 1410.56 0.0 -SmryBio_1934 1411.39 0.0 -SmryBio_1935 1411.37 0.0 -SmryBio_1936 1411.14 0.0 -SmryBio_1937 1410.64 0.0 -SmryBio_1938 1409.82 0.0 -SmryBio_1939 1409.04 0.0 -SmryBio_1940 1408.21 0.0 -SmryBio_1941 1407.34 0.0 -SmryBio_1942 1406.23 0.0 -SmryBio_1943 1405.23 0.0 -SmryBio_1944 1403.93 0.0 -SmryBio_1945 1402.97 0.0 -SmryBio_1946 1401.7 0.0 -SmryBio_1947 1399.09 0.0 -SmryBio_1948 1396.03 0.0 -SmryBio_1949 1392.64 0.0 -SmryBio_1950 1389.59 0.0 -SmryBio_1951 1387.12 0.0 -SmryBio_1952 1383.75 0.0 -SmryBio_1953 1380.32 0.0 -SmryBio_1954 1377.53 0.0 -SmryBio_1955 1374.8 0.0 -SmryBio_1956 1372.7 0.0 -SmryBio_1957 1370.74 0.0 -SmryBio_1958 1368.67 0.0 -SmryBio_1959 1367.41 0.0 -SmryBio_1960 1366.41 0.0 -SmryBio_1961 1365.24 0.0 -SmryBio_1962 1364.09 0.0 -SmryBio_1963 1362.78 0.0 -SmryBio_1964 1361.01 0.0 -SmryBio_1965 1358.87 0.0 -SmryBio_1966 1356.62 0.0 -SmryBio_1967 1354.09 0.0 -SmryBio_1968 1352.03 0.0 -SmryBio_1969 1351.56 0.0 -SmryBio_1970 1350.04 0.0 -SmryBio_1971 1347.51 0.0 -SmryBio_1972 1345.32 0.0 -SmryBio_1973 1341.76 0.0 -SmryBio_1974 1336.2 0.0 -SmryBio_1975 1331.08 0.0 -SmryBio_1976 1326.09 0.0 -SmryBio_1977 1320.83 0.0 -SmryBio_1978 1317.53 0.0 -SmryBio_1979 1308.64 0.0 -SmryBio_1980 1302.85 0.0 -SmryBio_1981 1268.86 0.0 -SmryBio_1982 1264.52 0.0 -SmryBio_1983 1204.44 0.0 -SmryBio_1984 1302.19 0.0 -SmryBio_1985 1433.55 0.0 -SmryBio_1986 1735.11 0.0 -SmryBio_1987 1789.8 0.0 -SmryBio_1988 1799.91 0.0 -SmryBio_1989 1748.32 0.0 -SmryBio_1990 1570.46 0.0 -SmryBio_1991 1387.94 0.0 -SmryBio_1992 1225.3 0.0 -SmryBio_1993 1120.83 0.0 -SmryBio_1994 994.254 0.0 -SmryBio_1995 990.02 0.0 -SmryBio_1996 924.573 0.0 -SmryBio_1997 888.619 0.0 -SmryBio_1998 958.266 0.0 -SmryBio_1999 974.021 0.0 -SmryBio_2000 966.428 0.0 -SmryBio_2001 1285.79 0.0 -SmryBio_2002 1451.49 0.0 -SmryBio_2003 1410.41 0.0 -SmryBio_2004 1332.12 0.0 -SmryBio_2005 1226.53 0.0 -SmryBio_2006 1145.47 0.0 -SmryBio_2007 989.861 0.0 -SmryBio_2008 1017 0.0 -SmryBio_2009 1113.92 0.0 -SmryBio_2010 1490.64 0.0 -SmryBio_2011 1586.83 0.0 -SmryBio_2012 1423.57 0.0 -SmryBio_2013 1231.85 0.0 -SmryBio_2014 1131.9 0.0 -SmryBio_2015 1131.28 0.0 -SmryBio_2016 1092.33 0.0 -SmryBio_2017 1073.19 0.0 -SmryBio_2018 1064.98 0.0 -SmryBio_2019 1062.1 0.0 -SmryBio_2020 1061.51 0.0 -SmryBio_2021 1061.74 0.0 -SmryBio_2022 1062.22 0.0 -SmryBio_2023 1062.68 0.0 -SmryBio_2024 1063.09 0.0 +ln(SPB)_1915 5.98105 0.231025 +ln(SPB)_1964 5.92182 0.244675 +ln(SPB)_2014 5.86884 0.317193 +SmryBio_Virgin 1423.93 0.0 +SmryBio_Initial 1423.93 0.0 +SmryBio_1915 1423.93 0.0 +SmryBio_1916 1420.56 0.0 +SmryBio_1917 1417.94 0.0 +SmryBio_1918 1415.79 0.0 +SmryBio_1919 1414.17 0.0 +SmryBio_1920 1412.29 0.0 +SmryBio_1921 1410.38 0.0 +SmryBio_1922 1410.43 0.0 +SmryBio_1923 1410.74 0.0 +SmryBio_1924 1410.63 0.0 +SmryBio_1925 1410.26 0.0 +SmryBio_1926 1409.75 0.0 +SmryBio_1927 1409.24 0.0 +SmryBio_1928 1408.82 0.0 +SmryBio_1929 1408.49 0.0 +SmryBio_1930 1408.12 0.0 +SmryBio_1931 1407.72 0.0 +SmryBio_1932 1407.61 0.0 +SmryBio_1933 1408.22 0.0 +SmryBio_1934 1409.04 0.0 +SmryBio_1935 1409.02 0.0 +SmryBio_1936 1408.79 0.0 +SmryBio_1937 1408.29 0.0 +SmryBio_1938 1407.47 0.0 +SmryBio_1939 1406.69 0.0 +SmryBio_1940 1405.86 0.0 +SmryBio_1941 1404.99 0.0 +SmryBio_1942 1403.89 0.0 +SmryBio_1943 1402.88 0.0 +SmryBio_1944 1401.58 0.0 +SmryBio_1945 1400.62 0.0 +SmryBio_1946 1399.35 0.0 +SmryBio_1947 1396.74 0.0 +SmryBio_1948 1393.69 0.0 +SmryBio_1949 1390.3 0.0 +SmryBio_1950 1387.24 0.0 +SmryBio_1951 1384.77 0.0 +SmryBio_1952 1381.4 0.0 +SmryBio_1953 1377.97 0.0 +SmryBio_1954 1375.18 0.0 +SmryBio_1955 1372.45 0.0 +SmryBio_1956 1370.35 0.0 +SmryBio_1957 1368.39 0.0 +SmryBio_1958 1366.33 0.0 +SmryBio_1959 1365.06 0.0 +SmryBio_1960 1364.07 0.0 +SmryBio_1961 1362.89 0.0 +SmryBio_1962 1361.75 0.0 +SmryBio_1963 1360.43 0.0 +SmryBio_1964 1358.66 0.0 +SmryBio_1965 1356.52 0.0 +SmryBio_1966 1354.27 0.0 +SmryBio_1967 1351.74 0.0 +SmryBio_1968 1349.68 0.0 +SmryBio_1969 1349.21 0.0 +SmryBio_1970 1347.69 0.0 +SmryBio_1971 1345.16 0.0 +SmryBio_1972 1342.98 0.0 +SmryBio_1973 1339.41 0.0 +SmryBio_1974 1333.86 0.0 +SmryBio_1975 1328.73 0.0 +SmryBio_1976 1323.74 0.0 +SmryBio_1977 1318.49 0.0 +SmryBio_1978 1315.18 0.0 +SmryBio_1979 1306.29 0.0 +SmryBio_1980 1300.5 0.0 +SmryBio_1981 1266.47 0.0 +SmryBio_1982 1262.08 0.0 +SmryBio_1983 1202.06 0.0 +SmryBio_1984 1299.57 0.0 +SmryBio_1985 1430.64 0.0 +SmryBio_1986 1731.59 0.0 +SmryBio_1987 1786.11 0.0 +SmryBio_1988 1796.14 0.0 +SmryBio_1989 1744.7 0.0 +SmryBio_1990 1567.27 0.0 +SmryBio_1991 1385.18 0.0 +SmryBio_1992 1222.89 0.0 +SmryBio_1993 1118.66 0.0 +SmryBio_1994 992.269 0.0 +SmryBio_1995 988.041 0.0 +SmryBio_1996 922.708 0.0 +SmryBio_1997 886.85 0.0 +SmryBio_1998 956.391 0.0 +SmryBio_1999 972.223 0.0 +SmryBio_2000 964.676 0.0 +SmryBio_2001 1283.62 0.0 +SmryBio_2002 1449.11 0.0 +SmryBio_2003 1407.98 0.0 +SmryBio_2004 1329.79 0.0 +SmryBio_2005 1224.37 0.0 +SmryBio_2006 1143.48 0.0 +SmryBio_2007 988.128 0.0 +SmryBio_2008 1015.27 0.0 +SmryBio_2009 1112.09 0.0 +SmryBio_2010 1488.31 0.0 +SmryBio_2011 1584.38 0.0 +SmryBio_2012 1421.36 0.0 +SmryBio_2013 1229.89 0.0 +SmryBio_2014 1130.02 0.0 +SmryBio_2015 1129.36 0.0 +SmryBio_2016 1090.36 0.0 +SmryBio_2017 1071.17 0.0 +SmryBio_2018 1062.92 0.0 +SmryBio_2019 1060.01 0.0 +SmryBio_2020 1059.39 0.0 +SmryBio_2021 1059.61 0.0 +SmryBio_2022 1060.06 0.0 +SmryBio_2023 1060.52 0.0 +SmryBio_2024 1060.91 0.0 #_survey_stdev 0 #_Biomass -TotBio_Virgin 1426.28 0.0 -TotBio_Initial 1426.28 0.0 -TotBio_1915 1426.28 0.0 -TotBio_1916 1422.91 0.0 -TotBio_1917 1420.28 0.0 -TotBio_1918 1418.14 0.0 -TotBio_1919 1416.52 0.0 -TotBio_1920 1414.64 0.0 -TotBio_1921 1412.73 0.0 -TotBio_1922 1412.78 0.0 -TotBio_1923 1413.09 0.0 -TotBio_1924 1412.98 0.0 -TotBio_1925 1412.6 0.0 -TotBio_1926 1412.1 0.0 -TotBio_1927 1411.58 0.0 -TotBio_1928 1411.17 0.0 -TotBio_1929 1410.84 0.0 -TotBio_1930 1410.47 0.0 -TotBio_1931 1410.07 0.0 -TotBio_1932 1409.96 0.0 -TotBio_1933 1410.56 0.0 -TotBio_1934 1411.39 0.0 -TotBio_1935 1411.37 0.0 -TotBio_1936 1411.14 0.0 -TotBio_1937 1410.64 0.0 -TotBio_1938 1409.82 0.0 -TotBio_1939 1409.04 0.0 -TotBio_1940 1408.21 0.0 -TotBio_1941 1407.34 0.0 -TotBio_1942 1406.23 0.0 -TotBio_1943 1405.23 0.0 -TotBio_1944 1403.93 0.0 -TotBio_1945 1402.97 0.0 -TotBio_1946 1401.7 0.0 -TotBio_1947 1399.09 0.0 -TotBio_1948 1396.03 0.0 -TotBio_1949 1392.64 0.0 -TotBio_1950 1389.59 0.0 -TotBio_1951 1387.12 0.0 -TotBio_1952 1383.75 0.0 -TotBio_1953 1380.32 0.0 -TotBio_1954 1377.53 0.0 -TotBio_1955 1374.8 0.0 -TotBio_1956 1372.7 0.0 -TotBio_1957 1370.74 0.0 -TotBio_1958 1368.67 0.0 -TotBio_1959 1367.41 0.0 -TotBio_1960 1366.41 0.0 -TotBio_1961 1365.24 0.0 -TotBio_1962 1364.09 0.0 -TotBio_1963 1362.78 0.0 -TotBio_1964 1361.01 0.0 -TotBio_1965 1358.87 0.0 -TotBio_1966 1356.62 0.0 -TotBio_1967 1354.09 0.0 -TotBio_1968 1352.03 0.0 -TotBio_1969 1351.56 0.0 -TotBio_1970 1350.04 0.0 -TotBio_1971 1347.51 0.0 -TotBio_1972 1345.32 0.0 -TotBio_1973 1341.76 0.0 -TotBio_1974 1336.2 0.0 -TotBio_1975 1331.08 0.0 -TotBio_1976 1326.09 0.0 -TotBio_1977 1320.83 0.0 -TotBio_1978 1317.53 0.0 -TotBio_1979 1308.64 0.0 -TotBio_1980 1302.85 0.0 -TotBio_1981 1268.86 0.0 -TotBio_1982 1264.52 0.0 -TotBio_1983 1204.44 0.0 -TotBio_1984 1302.19 0.0 -TotBio_1985 1433.55 0.0 -TotBio_1986 1735.11 0.0 -TotBio_1987 1789.8 0.0 -TotBio_1988 1799.91 0.0 -TotBio_1989 1748.32 0.0 -TotBio_1990 1570.46 0.0 -TotBio_1991 1387.94 0.0 -TotBio_1992 1225.3 0.0 -TotBio_1993 1120.83 0.0 -TotBio_1994 994.254 0.0 -TotBio_1995 990.02 0.0 -TotBio_1996 924.573 0.0 -TotBio_1997 888.619 0.0 -TotBio_1998 958.266 0.0 -TotBio_1999 974.021 0.0 -TotBio_2000 966.428 0.0 -TotBio_2001 1285.79 0.0 -TotBio_2002 1451.49 0.0 -TotBio_2003 1410.41 0.0 -TotBio_2004 1332.12 0.0 -TotBio_2005 1226.53 0.0 -TotBio_2006 1145.47 0.0 -TotBio_2007 989.861 0.0 -TotBio_2008 1017 0.0 -TotBio_2009 1113.92 0.0 -TotBio_2010 1490.64 0.0 -TotBio_2011 1586.83 0.0 -TotBio_2012 1423.57 0.0 -TotBio_2013 1231.85 0.0 -TotBio_2014 1131.9 0.0 -TotBio_2015 1131.28 0.0 -TotBio_2016 1092.33 0.0 -TotBio_2017 1073.19 0.0 -TotBio_2018 1064.98 0.0 -TotBio_2019 1062.1 0.0 -TotBio_2020 1061.51 0.0 -TotBio_2021 1061.74 0.0 -TotBio_2022 1062.22 0.0 -TotBio_2023 1062.68 0.0 -TotBio_2024 1063.09 0.0 +TotBio_Virgin 1423.93 0.0 +TotBio_Initial 1423.93 0.0 +TotBio_1915 1423.93 0.0 +TotBio_1916 1420.56 0.0 +TotBio_1917 1417.94 0.0 +TotBio_1918 1415.79 0.0 +TotBio_1919 1414.17 0.0 +TotBio_1920 1412.29 0.0 +TotBio_1921 1410.38 0.0 +TotBio_1922 1410.43 0.0 +TotBio_1923 1410.74 0.0 +TotBio_1924 1410.63 0.0 +TotBio_1925 1410.26 0.0 +TotBio_1926 1409.75 0.0 +TotBio_1927 1409.24 0.0 +TotBio_1928 1408.82 0.0 +TotBio_1929 1408.49 0.0 +TotBio_1930 1408.12 0.0 +TotBio_1931 1407.72 0.0 +TotBio_1932 1407.61 0.0 +TotBio_1933 1408.22 0.0 +TotBio_1934 1409.04 0.0 +TotBio_1935 1409.02 0.0 +TotBio_1936 1408.79 0.0 +TotBio_1937 1408.29 0.0 +TotBio_1938 1407.47 0.0 +TotBio_1939 1406.69 0.0 +TotBio_1940 1405.86 0.0 +TotBio_1941 1404.99 0.0 +TotBio_1942 1403.89 0.0 +TotBio_1943 1402.88 0.0 +TotBio_1944 1401.58 0.0 +TotBio_1945 1400.62 0.0 +TotBio_1946 1399.35 0.0 +TotBio_1947 1396.74 0.0 +TotBio_1948 1393.69 0.0 +TotBio_1949 1390.3 0.0 +TotBio_1950 1387.24 0.0 +TotBio_1951 1384.77 0.0 +TotBio_1952 1381.4 0.0 +TotBio_1953 1377.97 0.0 +TotBio_1954 1375.18 0.0 +TotBio_1955 1372.45 0.0 +TotBio_1956 1370.35 0.0 +TotBio_1957 1368.39 0.0 +TotBio_1958 1366.33 0.0 +TotBio_1959 1365.06 0.0 +TotBio_1960 1364.07 0.0 +TotBio_1961 1362.89 0.0 +TotBio_1962 1361.75 0.0 +TotBio_1963 1360.43 0.0 +TotBio_1964 1358.66 0.0 +TotBio_1965 1356.52 0.0 +TotBio_1966 1354.27 0.0 +TotBio_1967 1351.74 0.0 +TotBio_1968 1349.68 0.0 +TotBio_1969 1349.21 0.0 +TotBio_1970 1347.69 0.0 +TotBio_1971 1345.16 0.0 +TotBio_1972 1342.98 0.0 +TotBio_1973 1339.41 0.0 +TotBio_1974 1333.86 0.0 +TotBio_1975 1328.73 0.0 +TotBio_1976 1323.74 0.0 +TotBio_1977 1318.49 0.0 +TotBio_1978 1315.18 0.0 +TotBio_1979 1306.29 0.0 +TotBio_1980 1300.5 0.0 +TotBio_1981 1266.47 0.0 +TotBio_1982 1262.08 0.0 +TotBio_1983 1202.06 0.0 +TotBio_1984 1299.57 0.0 +TotBio_1985 1430.64 0.0 +TotBio_1986 1731.59 0.0 +TotBio_1987 1786.11 0.0 +TotBio_1988 1796.14 0.0 +TotBio_1989 1744.7 0.0 +TotBio_1990 1567.27 0.0 +TotBio_1991 1385.18 0.0 +TotBio_1992 1222.89 0.0 +TotBio_1993 1118.66 0.0 +TotBio_1994 992.269 0.0 +TotBio_1995 988.041 0.0 +TotBio_1996 922.708 0.0 +TotBio_1997 886.85 0.0 +TotBio_1998 956.391 0.0 +TotBio_1999 972.223 0.0 +TotBio_2000 964.676 0.0 +TotBio_2001 1283.62 0.0 +TotBio_2002 1449.11 0.0 +TotBio_2003 1407.98 0.0 +TotBio_2004 1329.79 0.0 +TotBio_2005 1224.37 0.0 +TotBio_2006 1143.48 0.0 +TotBio_2007 988.128 0.0 +TotBio_2008 1015.27 0.0 +TotBio_2009 1112.09 0.0 +TotBio_2010 1488.31 0.0 +TotBio_2011 1584.38 0.0 +TotBio_2012 1421.36 0.0 +TotBio_2013 1229.89 0.0 +TotBio_2014 1130.02 0.0 +TotBio_2015 1129.36 0.0 +TotBio_2016 1090.36 0.0 +TotBio_2017 1071.17 0.0 +TotBio_2018 1062.92 0.0 +TotBio_2019 1060.01 0.0 +TotBio_2020 1059.39 0.0 +TotBio_2021 1059.61 0.0 +TotBio_2022 1060.06 0.0 +TotBio_2023 1060.52 0.0 +TotBio_2024 1060.91 0.0 TotCatch_Virgin 0 0.0 TotCatch_Initial 0 0.0 TotCatch_1915 3.42942 0.0 @@ -1062,13 +1059,13 @@ TotCatch_2011 40.5183 0.0 TotCatch_2012 38.8847 0.0 TotCatch_2013 43.6934 0.0 TotCatch_2014 33.4095 0.0 -TotCatch_2015 96.463 0.0 -TotCatch_2016 88.7619 0.0 -TotCatch_2017 84.1892 0.0 -TotCatch_2018 82.0457 0.0 -TotCatch_2019 81.2411 0.0 -TotCatch_2020 81.0253 0.0 -TotCatch_2021 81.0199 0.0 -TotCatch_2022 81.0751 0.0 -TotCatch_2023 81.1353 0.0 -TotCatch_2024 81.189 0.0 +TotCatch_2015 96.4607 0.0 +TotCatch_2016 88.7483 0.0 +TotCatch_2017 84.1681 0.0 +TotCatch_2018 82.0195 0.0 +TotCatch_2019 81.2112 0.0 +TotCatch_2020 80.9925 0.0 +TotCatch_2021 80.9849 0.0 +TotCatch_2022 81.0383 0.0 +TotCatch_2023 81.0972 0.0 +TotCatch_2024 81.1498 0.0 diff --git a/models/KelpGreenling2015/warning.sso b/models/KelpGreenling2015/warning.sso index 2d460b6..41f3212 100644 --- a/models/KelpGreenling2015/warning.sso +++ b/models/KelpGreenling2015/warning.sso @@ -1,17 +1,5 @@ -Warning 1 : fishing fleet: 1 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month -Warning 2 : fishing fleet: 2 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month -Warning 3 : fishing fleet: 3 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month -Warning 4 : fishing fleet: 4 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month -Warning 5 : fishing fleet: 5 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month -Note 1 Suggestion: This model has just one settlement event. Changing to recr_dist_method 4 and removing the recruitment distribution parameters at the end of the MG parms section (below growth parameters) will produce identical results and simplify the model. -Warning 6 : At least one block pattern ends in endyr. Check the output parameter value time series to see if the values in forecast years are as intended. -Warning 7 Adjustment: Fleet: 1 agecomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 105 -Warning 8 : fleet: 2 lencomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 31 -Warning 9 Adjustment: Fleet: 2 agecomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 140 -Warning 10 : fleet: 3 lencomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 30 -Warning 11 : fleet: 4 lencomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 22 -Warning 12 Adjustment: Fleet: 5 agecomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 8 -Warning 13 : Forecast F capped by max possible F from control file4 -Warning 14 : Forecast F capped by max possible F from control file4 -Note 2 Information: A revised protocol for the Fcast_yr specification is available and recommended. - 14 warnings and 2 notes +Warning 1 : At least one block pattern ends in endyr. Check the output parameter value time series to see if the values in forecast years are as intended. +Warning 2 : Forecast F capped by max possible F from control file4 +Warning 3 : Forecast F capped by max possible F from control file4 +Note 1 Information: A revised protocol for the Fcast_yr specification is available and recommended. + 3 warnings and 1 note diff --git a/models/Sablefish2015/2015_control.ss b/models/Sablefish2015/2015_control.ss index 9423fae..d2eafd7 100644 --- a/models/Sablefish2015/2015_control.ss +++ b/models/Sablefish2015/2015_control.ss @@ -13,7 +13,7 @@ #_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # -2 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) +4 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) 1 # not yet implemented; Future usage: Spawner-Recruitment: 1=global; 2=by area 1 # number of recruitment settlement assignments 0 # unused option @@ -101,9 +101,6 @@ 0 4 3.27292 3.3 99 6 -50 0 0 0 0 0 0 0 # Wtlen_2_Mal_GP_1 # Hermaphroditism # Recruitment Distribution - -4 4 0 0 99 0 -50 0 0 0 0 0 0 0 # RecrDist_GP_1 - -4 4 0 0 99 0 -50 0 0 0 0 0 0 0 # RecrDist_Area_1 - -4 4 0 0 99 0 -50 0 0 0 0 0 0 0 # RecrDist_month_1 # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement diff --git a/models/Sablefish2015/2015_data.ss b/models/Sablefish2015/2015_data.ss index c614a56..15153c3 100644 --- a/models/Sablefish2015/2015_data.ss +++ b/models/Sablefish2015/2015_data.ss @@ -28,9 +28,9 @@ #_catch_mult: 0=no; 1=yes #_rows are fleets #_fleet_type fishery_timing area catch_units need_catch_mult fleetname - 1 1 1 1 0 HKL # 1 - 1 1 1 1 0 POT # 2 - 1 1 1 1 0 TWL # 3 + 1 -1 1 1 0 HKL # 1 + 1 -1 1 1 0 POT # 2 + 1 -1 1 1 0 TWL # 3 3 1 1 2 0 ENV # 4 3 1 1 2 0 AKSHLF # 5 3 1 1 2 0 AKSLP # 6 diff --git a/models/Sablefish2015/ss.par b/models/Sablefish2015/ss.par index fce36cf..4381626 100644 --- a/models/Sablefish2015/ss.par +++ b/models/Sablefish2015/ss.par @@ -1,18 +1,18 @@ -# Number of parameters = 120 Objective function value = 26492.0596058843 Maximum gradient component = 0.000758840473188988 +# Number of parameters = 120 Objective function value = 26488.0733736553 Maximum gradient component = 0.00360896407427636 # dummy_parm: 1.00000000000 # MGparm[1]: -0.0994793088268 +0.101934541306 # MGparm[2]: 22.0000000005 # MGparm[3]: -64.4759499913 +64.4809094121 # MGparm[4]: -0.349999995114 +0.349999995083 # MGparm[5]: -0.141931494039 +0.141546216052 # MGparm[6]: -0.110799104430 +0.110842824913 # MGparm[7]: 3.26728000000e-06 # MGparm[8]: @@ -26,33 +26,27 @@ # MGparm[12]: 0.00000000000 # MGparm[13]: -0.0751053406957 +0.0785639430977 # MGparm[14]: 0.00000000000 # MGparm[15]: -55.9350872725 +55.9329569618 # MGparm[16]: -0.483437628584 +0.483493715338 # MGparm[17]: 0.00000000000 # MGparm[18]: -0.0750234984790 +0.0750105571119 # MGparm[19]: 3.32942000000e-06 # MGparm[20]: 3.27292000000 # MGparm[21]: -0.00000000000 -# MGparm[22]: -0.00000000000 -# MGparm[23]: -0.00000000000 -# MGparm[24]: 1.00000000000 -# MGparm[25]: +# MGparm[22]: 0.500000000000 # SR_parm[1]: -11.9947001628 +11.6409411637 # SR_parm[2]: 0.600000000000 # SR_parm[3]: @@ -62,25 +56,25 @@ # SR_parm[5]: 0.00000000000 # recdev1: - 1.11854678666 0.225166876422 0.0770163718705 -0.0226633649750 -0.0271443676039 0.395324450893 0.967124289320 -0.122566713310 -1.11433469111 0.915030973602 -0.336058913138 0.509036003610 0.702900965607 -0.538528068091 0.625148222186 1.12877844969 0.844110761045 0.332454735841 0.320639363998 0.559213661433 0.799365269862 -0.0152711699069 -0.180634149737 -0.588111405364 0.0437358022756 0.616583111113 -1.75792154523 -1.38806603885 -0.417107310151 1.08800420142 1.03713863351 0.211971233564 -0.0507179168028 -0.509680351837 -0.272378976298 -0.847321092001 -1.10088734535 -1.21847557679 1.09467743843 -1.09561485936 0.101720076181 -1.02525765858 -1.02692299352 0.846052792811 -0.904075963351 + 1.00121097653 0.231178433514 0.103219734273 0.0136269407387 -0.111946508089 0.340979006447 0.946648872097 -0.176017118107 -1.08106848040 0.913654992029 -0.274345852463 0.492904679961 0.870479605769 -0.447981261515 0.762141516161 1.22370267382 0.916240640666 0.383184806145 0.341369665085 0.580726654249 0.813143174269 -0.0123489552714 -0.195626645522 -0.602905348907 0.0104176675942 0.567798818661 -1.79646254556 -1.43468889407 -0.498239698643 1.05577245698 1.01560672530 0.175293795836 -0.0861877472029 -0.526250576226 -0.273815731949 -0.855089686148 -1.11419982443 -1.23834444285 1.12846704701 -1.12242197045 0.113584265211 -1.03454539673 -1.01975537904 0.820921877421 -0.920032962197 # Fcast_recruitments: 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 # Q_parm[1]: -0.129048337637 +0.116951853854 # Q_parm[2]: --2.75910771572 +-2.25921274274 # Q_parm[3]: -0.422492556529 +0.451609997085 # Q_parm[4]: --2.43629975714 +-1.87897411791 # Q_parm[5]: -0.0573008113004 +0.0573203655680 # Q_parm[6]: --3.16404864216 +-2.60882088364 # Q_parm[7]: -0.0955848181902 +0.0990332426115 # Q_parm[8]: --2.28196342279 +-1.75196264897 # Q_parm[9]: 0.00000000000 # Q_parm[10]: @@ -92,7 +86,7 @@ # selparm[2]: 1.00000000000 # selparm[3]: -8.26613908895 +8.29554950357 # selparm[4]: 0.00000000000 # selparm[5]: @@ -104,9 +98,9 @@ # selparm[8]: 0.00000000000 # selparm[9]: -46.5601207776 +46.5661535310 # selparm[10]: -3.66139195895 +3.66821314114 # selparm[11]: 10.0000000000 # selparm[12]: @@ -120,9 +114,9 @@ # selparm[16]: 0.00000000000 # selparm[17]: -45.0200845206 +45.0909746643 # selparm[18]: -2.09988027280 +2.08033537512 # selparm[19]: 10.0000000000 # selparm[20]: @@ -138,9 +132,9 @@ # selparm[25]: 0.00000000000 # selparm[26]: -0.488307726271 +0.536001856826 # selparm[27]: --0.751058915999 +-0.750493117541 # selparm[28]: 2.00000000000 # selparm[29]: @@ -150,27 +144,27 @@ # selparm[31]: 13.0000000000 # selparm[32]: --1.12206575699 +-1.11639724904 # selparm[33]: 0.00000000000 # selparm[34]: --0.347768619915 +-0.272432052967 # selparm[35]: --0.814128362948 +-0.753647387819 # selparm[36]: 10.0000000000 # selparm[37]: 0.00000000000 # selparm[38]: --1.26916660593 +-1.26663954755 # selparm[39]: --1.09801104973 +-1.10104290317 # selparm[40]: 0.00000000000 # selparm[41]: --0.0256865949846 +0.00398432815849 # selparm[42]: --0.390805880265 +-0.399622222840 # selparm[43]: 2.00000000000 # selparm[44]: @@ -180,27 +174,27 @@ # selparm[46]: 12.0000000000 # selparm[47]: --2.19553838371 +-2.22168310128 # selparm[48]: --0.602696477475 +-0.633053826694 # selparm[49]: 0.00000000000 # selparm[50]: -0.0635756235448 +0.0786448573233 # selparm[51]: 10.0000000000 # selparm[52]: 0.00000000000 # selparm[53]: --1.23717104305 +-1.24135180275 # selparm[54]: --1.43775631979 +-1.42893331070 # selparm[55]: 0.00000000000 # selparm[56]: --0.999999998012 +-0.999999997772 # selparm[57]: --0.183204936001 +-0.233752717416 # selparm[58]: 1.00000000000 # selparm[59]: @@ -212,23 +206,23 @@ # selparm[62]: 12.0000000000 # selparm[63]: -0.853508351924 +0.970946209057 # selparm[64]: -0.728732388903 +0.761774592166 # selparm[65]: 0.00000000000 # selparm[66]: -0.210905809172 +0.356365403510 # selparm[67]: --0.950130366619 +-0.848561989170 # selparm[68]: 4.00000000000 # selparm[69]: 0.00000000000 # selparm[70]: -0.00470774731950 +0.00753685218327 # selparm[71]: --0.139023902853 +-0.107561446804 # selparm[72]: 0.00000000000 # selparm[73]: @@ -240,35 +234,35 @@ # selparm[76]: 0.500000000000 # selparm[77]: -1.80154745779 +1.83072198264 # selparm[78]: --2.84122540857 +-2.89909564917 # selparm[79]: -4.99000000000 # selparm[80]: -2.47448360392 +2.47665852418 # selparm[81]: -4.00000000000 # selparm[82]: 0.100000000000 # selparm[83]: -0.924465709745 +0.959264315892 # selparm[84]: --1.61348590160 +-1.69023316045 # selparm[85]: --0.900192616816 +-0.901959623726 # selparm[86]: 3.00000000000 # selparm[87]: -4.00000000000 # selparm[88]: -1.19261553801 +1.15961680526 # selparm[89]: -0.857722062257 +0.933126838439 # selparm[90]: --3.74973393618 +-3.83638700437 # selparm[91]: --0.0760728258235 +-0.0680658042204 # selparm[92]: 1.50000000000 # selparm[93]: @@ -276,11 +270,11 @@ # selparm[94]: 0.500000000000 # selparm[95]: -2.99422042874 +3.05793190266 # selparm[96]: --0.732127042796 +-0.841442109410 # selparm[97]: --0.832840373945 +-0.733298405820 # selparm[98]: 25.0000000000 # selparm[99]: @@ -292,19 +286,19 @@ # selparm[102]: 25.0000000000 # selparm[103]: -0.999999966948 +0.999999963729 # selparm[104]: --0.776335581175 +-0.738826295743 # selparm[105]: --0.913951998783 +-0.909229904694 # selparm[106]: --0.447535406197 +-0.508931245551 # selparm[107]: --0.239366381711 +-0.274509446539 # selparm[108]: -0.676125691793 +0.661270568991 # selparm[109]: --0.242855198579 +-0.279889289108 # parm_dev[1]: 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 # checksum999: diff --git a/models/Sablefish2015/ss_summary.sso b/models/Sablefish2015/ss_summary.sso index 64e85cf..774f923 100644 --- a/models/Sablefish2015/ss_summary.sso +++ b/models/Sablefish2015/ss_summary.sso @@ -1,21 +1,21 @@ #V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 2015_data.ss #_DataFile 2015_control.ss #_Control -Run_Date: Tue Oct 31 16:44:36 2023 -Final_phase: 7 N_iterations: 1020 +Run_Date: Wed Nov 1 11:00:26 2023 +Final_phase: 7 N_iterations: 987 #_LIKELIHOOD Label logL*Lambda -TOTAL_LogL 26492.1 -Survey -31.1536 -Discard 45.2292 -Mean_body_wt 18644.3 -Length_comp 3952.32 -Age_comp 3866.76 -Recruitment 13.2709 +TOTAL_LogL 26488.1 +Survey -30.4972 +Discard 45.2227 +Mean_body_wt 18634.7 +Length_comp 3959.17 +Age_comp 3864.62 +Recruitment 13.7203 InitEQ_regime 0 -Sum_recdevs 0 +Sum_recdevs 2.88658e-15 Forecast_Recruitment 0 -Parm_priors 1.31638 +Parm_priors 1.09006 Parm_softbounds 0 Parm_devs 0 F_Ballpark 0 @@ -23,82 +23,79 @@ Crash_Pen 0 #_PARAMETERS #label value se active? range #_BIOLOGY -NatM_uniform_Fem_GP_1 0.0994793 0.00373527 Act 0.894784 -L_at_Amin_Fem_GP_1 22 1.56181e-06 Act 6.65845e-11 -L_at_Amax_Fem_GP_1 64.4759 0.167132 Act 0.447595 -VonBert_K_Fem_GP_1 0.35 2.18411e-06 Act 0.999995 -CV_young_Fem_GP_1 0.141931 0.00407952 Act 0.932755 -CV_old_Fem_GP_1 0.110799 0.00216834 Act 0.67332 +NatM_uniform_Fem_GP_1 0.101935 0.00337527 Act 0.919336 +L_at_Amin_Fem_GP_1 22 1.57747e-06 Act 6.83111e-11 +L_at_Amax_Fem_GP_1 64.4809 0.167003 Act 0.448091 +VonBert_K_Fem_GP_1 0.35 2.2e-06 Act 0.999995 +CV_young_Fem_GP_1 0.141546 0.00404124 Act 0.929544 +CV_old_Fem_GP_1 0.110843 0.00216791 Act 0.673685 Wtlen_1_Fem_GP_1 3.26728e-06 0 Fix 3.26728e-06 Wtlen_2_Fem_GP_1 3.27596 0 Fix 0.81899 Mat50%_Fem_GP_1 58 0 Fix 0.5 Mat_slope_Fem_GP_1 -0.13 0 Fix 0.478333 Eggs/kg_inter_Fem_GP_1 1 0 Fix 0.666667 Eggs/kg_slope_wt_Fem_GP_1 0 0 Fix 0.5 -NatM_uniform_Mal_GP_1 0.0751053 0.0040069 Act 0.651047 +NatM_uniform_Mal_GP_1 0.0785639 0.00373563 Act 0.685633 L_at_Amin_Mal_GP_1 0 0 Fix 0.5 -L_at_Amax_Mal_GP_1 55.9351 0.11561 Act 0.593509 -VonBert_K_Mal_GP_1 0.483438 0.00712526 Act 0.944789 +L_at_Amax_Mal_GP_1 55.933 0.115482 Act 0.593296 +VonBert_K_Mal_GP_1 0.483494 0.00710053 Act 0.944976 CV_young_Mal_GP_1 0 0 Fix 0.5 -CV_old_Mal_GP_1 0.0750235 0.00136703 Act 0.375193 +CV_old_Mal_GP_1 0.0750106 0.00136465 Act 0.375085 Wtlen_1_Mal_GP_1 3.32942e-06 0 Fix 3.32942e-06 Wtlen_2_Mal_GP_1 3.27292 0 Fix 0.81823 -RecrDist_GP_1 0 0 Fix 0.5 -RecrDist_Area_1 0 0 Fix 0.5 -RecrDist_month_1 0 0 Fix 0.5 CohortGrowDev 1 0 Fix 0.0909091 FracFemale_GP_1 0.5 0 Fix 0.499999 #_SPAWN_RECR -SR_LN(R0) 11.9947 0.270064 Act 0.998675 +SR_LN(R0) 11.6409 0.193026 Act 0.910235 SR_BH_steep 0.6 0 Fix 0.499999 SR_sigmaR 0.95 0 Fix 0.576923 SR_regime 0 0 Fix 0.5 SR_autocorr 0 0 Fix 0.5 -Main_RecrDev_1970 1.11855 0.548534 Act 0.639818 -Main_RecrDev_1971 0.225167 0.917538 Act 0.528146 -Main_RecrDev_1972 0.0770164 0.823305 Act 0.509627 -Main_RecrDev_1973 -0.0226634 0.777796 Act 0.497167 -Main_RecrDev_1974 -0.0271444 0.779872 Act 0.496607 -Main_RecrDev_1975 0.395324 0.837753 Act 0.549415 -Main_RecrDev_1976 0.967124 0.554124 Act 0.62089 -Main_RecrDev_1977 -0.122567 0.623397 Act 0.484679 -Main_RecrDev_1978 -1.11433 0.625794 Act 0.360708 -Main_RecrDev_1979 0.915031 0.213866 Act 0.614379 -Main_RecrDev_1980 -0.336059 0.393663 Act 0.457993 -Main_RecrDev_1981 0.509036 0.179618 Act 0.563629 -Main_RecrDev_1982 0.702901 0.327777 Act 0.587863 -Main_RecrDev_1983 -0.538528 0.377445 Act 0.432684 -Main_RecrDev_1984 0.625148 0.216941 Act 0.578143 -Main_RecrDev_1985 1.12878 0.167976 Act 0.641097 -Main_RecrDev_1986 0.844111 0.166829 Act 0.605514 -Main_RecrDev_1987 0.332455 0.189785 Act 0.541557 -Main_RecrDev_1988 0.320639 0.173858 Act 0.54008 -Main_RecrDev_1989 0.559214 0.198073 Act 0.569902 -Main_RecrDev_1990 0.799365 0.151275 Act 0.599921 -Main_RecrDev_1991 -0.0152712 0.208928 Act 0.498091 -Main_RecrDev_1992 -0.180634 0.229331 Act 0.477421 -Main_RecrDev_1993 -0.588111 0.236897 Act 0.426486 -Main_RecrDev_1994 0.0437358 0.142967 Act 0.505467 -Main_RecrDev_1995 0.616583 0.0946519 Act 0.577073 -Main_RecrDev_1996 -1.75792 0.32284 Act 0.28026 -Main_RecrDev_1997 -1.38807 0.1921 Act 0.326492 -Main_RecrDev_1998 -0.417107 0.138045 Act 0.447862 -Main_RecrDev_1999 1.088 0.0737436 Act 0.636 -Main_RecrDev_2000 1.03714 0.0832066 Act 0.629642 -Main_RecrDev_2001 0.211971 0.116885 Act 0.526496 -Main_RecrDev_2002 -0.0507179 0.11119 Act 0.49366 -Main_RecrDev_2003 -0.50968 0.101876 Act 0.43629 -Main_RecrDev_2004 -0.272379 0.0929769 Act 0.465953 -Main_RecrDev_2005 -0.847321 0.103267 Act 0.394085 -Main_RecrDev_2006 -1.10089 0.108271 Act 0.362389 -Main_RecrDev_2007 -1.21848 0.11908 Act 0.347691 -Main_RecrDev_2008 1.09468 0.0794942 Act 0.636835 -Main_RecrDev_2009 -1.09561 0.126635 Act 0.363048 -Main_RecrDev_2010 0.10172 0.102567 Act 0.512715 -Main_RecrDev_2011 -1.02526 0.142776 Act 0.371843 -Main_RecrDev_2012 -1.02692 0.16033 Act 0.371635 -Main_RecrDev_2013 0.846053 0.144866 Act 0.605757 -Main_RecrDev_2014 -0.904076 0.349034 Act 0.38699 +Main_RecrDev_1970 1.00121 0.616967 Act 0.625151 +Main_RecrDev_1971 0.231178 0.966037 Act 0.528897 +Main_RecrDev_1972 0.10322 0.862692 Act 0.512902 +Main_RecrDev_1973 0.0136269 0.810703 Act 0.501703 +Main_RecrDev_1974 -0.111947 0.794867 Act 0.486007 +Main_RecrDev_1975 0.340979 0.8679 Act 0.542622 +Main_RecrDev_1976 0.946649 0.575006 Act 0.618331 +Main_RecrDev_1977 -0.176017 0.638584 Act 0.477998 +Main_RecrDev_1978 -1.08107 0.63623 Act 0.364866 +Main_RecrDev_1979 0.913655 0.218467 Act 0.614207 +Main_RecrDev_1980 -0.274346 0.371321 Act 0.465707 +Main_RecrDev_1981 0.492905 0.180838 Act 0.561613 +Main_RecrDev_1982 0.87048 0.299701 Act 0.60881 +Main_RecrDev_1983 -0.447981 0.374309 Act 0.444002 +Main_RecrDev_1984 0.762142 0.191267 Act 0.595268 +Main_RecrDev_1985 1.2237 0.144759 Act 0.652963 +Main_RecrDev_1986 0.916241 0.151103 Act 0.61453 +Main_RecrDev_1987 0.383185 0.181961 Act 0.547898 +Main_RecrDev_1988 0.34137 0.171182 Act 0.542671 +Main_RecrDev_1989 0.580727 0.1958 Act 0.572591 +Main_RecrDev_1990 0.813143 0.149551 Act 0.601643 +Main_RecrDev_1991 -0.012349 0.209317 Act 0.498456 +Main_RecrDev_1992 -0.195627 0.233693 Act 0.475547 +Main_RecrDev_1993 -0.602905 0.237838 Act 0.424637 +Main_RecrDev_1994 0.0104177 0.143259 Act 0.501302 +Main_RecrDev_1995 0.567799 0.0973799 Act 0.570975 +Main_RecrDev_1996 -1.79646 0.325493 Act 0.275442 +Main_RecrDev_1997 -1.43469 0.193359 Act 0.320664 +Main_RecrDev_1998 -0.49824 0.134174 Act 0.43772 +Main_RecrDev_1999 1.05577 0.0733996 Act 0.631971 +Main_RecrDev_2000 1.01561 0.0801164 Act 0.626951 +Main_RecrDev_2001 0.175294 0.112821 Act 0.521912 +Main_RecrDev_2002 -0.0861877 0.0950213 Act 0.489226 +Main_RecrDev_2003 -0.526251 0.0916763 Act 0.434219 +Main_RecrDev_2004 -0.273816 0.0864603 Act 0.465773 +Main_RecrDev_2005 -0.85509 0.0971465 Act 0.393114 +Main_RecrDev_2006 -1.1142 0.102793 Act 0.360725 +Main_RecrDev_2007 -1.23834 0.11195 Act 0.345207 +Main_RecrDev_2008 1.12847 0.081312 Act 0.641058 +Main_RecrDev_2009 -1.12242 0.127981 Act 0.359697 +Main_RecrDev_2010 0.113584 0.100563 Act 0.514198 +Main_RecrDev_2011 -1.03455 0.126502 Act 0.370682 +Main_RecrDev_2012 -1.01976 0.145391 Act 0.372531 +Main_RecrDev_2013 0.820922 0.127405 Act 0.602615 +Main_RecrDev_2014 -0.920033 0.346376 Act 0.384996 ForeRecr_2015 0 0.95 Act 0.5 ForeRecr_2016 0 0.95 Act 0.5 ForeRecr_2017 0 0.95 Act 0.5 @@ -112,36 +109,36 @@ ForeRecr_2024 0 0.95 Act 0.5 ForeRecr_2025 0 0.95 Act 0.5 ForeRecr_2026 0 0.95 Act 0.5 #_Catchability -LnQ_base_ENV(4) 0.129048 0 Fix 0.504302 -LnQ_base_AKSHLF(5) -2.75911 0.431158 Act 0.0688263 -Q_extraSD_AKSHLF(5) 0.422493 0.121512 Act 0.268744 -LnQ_base_AKSLP(6) -2.4363 0 Fix 0.41879 -Q_extraSD_AKSLP(6) 0.0573008 0.0507925 Act 0.0805447 -LnQ_base_NWSLP(7) -3.16405 0 Fix 0.394532 -Q_extraSD_NWSLP(7) 0.0955848 0.0528809 Act 0.118379 -LnQ_base_NWCBO(8) -2.28196 0 Fix 0.423935 +LnQ_base_ENV(4) 0.116952 0 Fix 0.503898 +LnQ_base_AKSHLF(5) -2.25921 0.346734 Act 0.211653 +Q_extraSD_AKSHLF(5) 0.45161 0.127965 Act 0.293008 +LnQ_base_AKSLP(6) -1.87897 0 Fix 0.437368 +Q_extraSD_AKSLP(6) 0.0573204 0.0507076 Act 0.0805727 +LnQ_base_NWSLP(7) -2.60882 0 Fix 0.413039 +Q_extraSD_NWSLP(7) 0.0990332 0.0540027 Act 0.122695 +LnQ_base_NWCBO(8) -1.75196 0 Fix 0.441601 Q_extraSD_NWCBO(8) 0 0 Fix 0 LnQ_base_AKSHLF(5)_dev_se 2 0 Fix 0.999999 LnQ_base_AKSHLF(5)_dev_autocorr 0 0 Fix 0.5 #_Selectivity -Retain_L_infl_HKL(1) 25 4.05484e-06 Act 4.60743e-11 +Retain_L_infl_HKL(1) 25 3.97367e-06 Act 4.4693e-11 Retain_L_width_HKL(1) 1 0 Fix 0.249812 -Retain_L_asymptote_logit_HKL(1) 8.26614 0.245647 Act 0.913307 +Retain_L_asymptote_logit_HKL(1) 8.29555 0.246777 Act 0.914777 Retain_L_maleoffset_HKL(1) 0 0 Fix 0.5 DiscMort_L_infl_HKL(1) 28 0 Fix 0.322581 DiscMort_L_width_HKL(1) 0.01 0 Fix 0.00450225 DiscMort_L_level_old_HKL(1) 0.2 0 Fix 0.240506 DiscMort_L_male_offset_HKL(1) 0 0 Fix 0.5 -Retain_L_infl_POT(2) 46.5601 0.687297 Act 0.462405 -Retain_L_width_POT(2) 3.66139 0.136953 Act 0.0389054 +Retain_L_infl_POT(2) 46.5662 0.686569 Act 0.462646 +Retain_L_width_POT(2) 3.66821 0.136714 Act 0.0393067 Retain_L_asymptote_logit_POT(2) 10 0 Fix 1 Retain_L_maleoffset_POT(2) 0 0 Fix 0.5 DiscMort_L_infl_POT(2) 28 0 Fix 0.322581 DiscMort_L_width_POT(2) 0.01 0 Fix 0.00450225 DiscMort_L_level_old_POT(2) 0.2 0 Fix 0.240506 DiscMort_L_male_offset_POT(2) 0 0 Fix 0.5 -Retain_L_infl_TWL(3) 45.0201 0.360666 Act 0.501004 -Retain_L_width_TWL(3) 2.09988 0.11901 Act 0.27497 +Retain_L_infl_TWL(3) 45.091 0.359027 Act 0.504549 +Retain_L_width_TWL(3) 2.08034 0.118435 Act 0.270084 Retain_L_asymptote_logit_TWL(3) 10 0 Fix 1 Retain_L_maleoffset_TWL(3) 0 0 Fix 0.5 DiscMort_L_infl_TWL(3) 28 0 Fix 0.322581 @@ -149,90 +146,90 @@ DiscMort_L_width_TWL(3) 0.01 0 Fix 0.00450225 DiscMort_L_level_old_TWL(3) 0.5 0 Fix 0.571428 DiscMort_L_male_offset_TWL(3) 0 0 Fix 0.5 AgeSpline_Code_HKL_1 0 0 Fix 0.5 -AgeSpline_GradLo_HKL_1 0.488308 0.0544794 Act 0.548831 -AgeSpline_GradHi_HKL_1 -0.751059 0.112638 Act 0.606991 +AgeSpline_GradLo_HKL_1 0.536002 0.0572654 Act 0.5536 +AgeSpline_GradHi_HKL_1 -0.750493 0.113087 Act 0.607072 AgeSpline_Knot_1_HKL_1 2 0 Fix 0.0571429 AgeSpline_Knot_2_HKL_1 6 0 Fix 0.171429 AgeSpline_Knot_3_HKL_1 9 0 Fix 0.257143 AgeSpline_Knot_4_HKL_1 13 0 Fix 0.371429 -AgeSpline_Val_1_HKL_1 -1.12207 0.14466 Act 0.484742 +AgeSpline_Val_1_HKL_1 -1.1164 0.145504 Act 0.48545 AgeSpline_Val_2_HKL_1 0 0 Fix 0.625 -AgeSpline_Val_3_HKL_1 -0.347769 0.204991 Act 0.581529 -AgeSpline_Val_4_HKL_1 -0.814128 0.19579 Act 0.523234 +AgeSpline_Val_3_HKL_1 -0.272432 0.206292 Act 0.590946 +AgeSpline_Val_4_HKL_1 -0.753647 0.199055 Act 0.530794 AgeSel_1MaleDogleg_HKL 10 0 Fix 0.375 AgeSel_1MaleatZero_HKL 0 0 Fix 0.5 -AgeSel_1MaleatDogleg_HKL -1.26917 0.118812 Act 0.432708 -AgeSel_1MaleatMaxage_HKL -1.09801 0.413504 Act 0.580398 +AgeSel_1MaleatDogleg_HKL -1.26664 0.119028 Act 0.43334 +AgeSel_1MaleatMaxage_HKL -1.10104 0.414612 Act 0.579791 AgeSpline_Code_POT_2 0 0 Fix 0.5 -AgeSpline_GradLo_POT_2 -0.0256866 0.0827558 Act 0.282045 -AgeSpline_GradHi_POT_2 -0.390806 0.0902116 Act 0.658456 +AgeSpline_GradLo_POT_2 0.00398433 0.0829987 Act 0.286283 +AgeSpline_GradHi_POT_2 -0.399622 0.0903563 Act 0.657197 AgeSpline_Knot_1_POT_2 2 0 Fix 0.0571429 AgeSpline_Knot_2_POT_2 4 0 Fix 0.114286 AgeSpline_Knot_3_POT_2 8 0 Fix 0.228571 AgeSpline_Knot_4_POT_2 12 0 Fix 0.342857 -AgeSpline_Val_1_POT_2 -2.19554 0.237483 Act 0.350558 -AgeSpline_Val_2_POT_2 -0.602696 0.203849 Act 0.549663 +AgeSpline_Val_1_POT_2 -2.22168 0.236679 Act 0.34729 +AgeSpline_Val_2_POT_2 -0.633054 0.204342 Act 0.545868 AgeSpline_Val_3_POT_2 0 0 Fix 0.625 -AgeSpline_Val_4_POT_2 0.0635756 0.272985 Act 0.632947 +AgeSpline_Val_4_POT_2 0.0786449 0.273226 Act 0.634831 AgeSel_2MaleDogleg_POT 10 0 Fix 0.375 AgeSel_2MaleatZero_POT 0 0 Fix 0.5 -AgeSel_2MaleatDogleg_POT -1.23717 0.109479 Act 0.440707 -AgeSel_2MaleatMaxage_POT -1.43776 0.29851 Act 0.512449 +AgeSel_2MaleatDogleg_POT -1.24135 0.109325 Act 0.439662 +AgeSel_2MaleatMaxage_POT -1.42893 0.299587 Act 0.514213 AgeSpline_Code_TWL_3 0 0 Fix 0.5 -AgeSpline_GradLo_TWL_3 -1 4.85329e-06 Act 3.31304e-10 -AgeSpline_GradHi_TWL_3 -0.183205 0.0739044 Act 0.688113 +AgeSpline_GradLo_TWL_3 -1 5.51238e-06 Act 3.71343e-10 +AgeSpline_GradHi_TWL_3 -0.233753 0.074585 Act 0.680892 AgeSpline_Knot_1_TWL_3 1 0 Fix 0.0285714 AgeSpline_Knot_2_TWL_3 2 0 Fix 0.0571429 AgeSpline_Knot_3_TWL_3 4 0 Fix 0.114286 AgeSpline_Knot_4_TWL_3 8 0 Fix 0.228571 AgeSpline_Knot_5_TWL_3 12 0 Fix 0.342857 -AgeSpline_Val_1_TWL_3 0.853508 0.13049 Act 0.731688 -AgeSpline_Val_2_TWL_3 0.728732 0.100039 Act 0.716091 +AgeSpline_Val_1_TWL_3 0.970946 0.136969 Act 0.746368 +AgeSpline_Val_2_TWL_3 0.761775 0.100167 Act 0.720222 AgeSpline_Val_3_TWL_3 0 0 Fix 0.625 -AgeSpline_Val_4_TWL_3 0.210906 0.154574 Act 0.651363 -AgeSpline_Val_5_TWL_3 -0.95013 0.108517 Act 0.506234 +AgeSpline_Val_4_TWL_3 0.356365 0.168963 Act 0.669546 +AgeSpline_Val_5_TWL_3 -0.848562 0.115248 Act 0.51893 AgeSel_3MaleDogleg_TWL 4 0 Fix 0.125 AgeSel_3MaleatZero_TWL 0 0 Fix 0.5 -AgeSel_3MaleatDogleg_TWL 0.00470775 0.0580249 Act 0.751177 -AgeSel_3MaleatMaxage_TWL -0.139024 0.170434 Act 0.430488 +AgeSel_3MaleatDogleg_TWL 0.00753685 0.0583692 Act 0.751884 +AgeSel_3MaleatMaxage_TWL -0.107561 0.171879 Act 0.446219 minage@sel=1_ENV(4) 0 0 Fix 0 maxage@sel=1_ENV(4) 50 0 Fix 0.830508 Age_DblN_peak_AKSHLF(5) 1.5 0 Fix 0.0454545 Age_DblN_top_logit_AKSHLF(5) -4 0 Fix 0.1 Age_DblN_ascend_se_AKSHLF(5) 0.5 0 Fix 0.049905 -Age_DblN_descend_se_AKSHLF(5) 1.80155 0.151483 Act 0.180073 -Age_DblN_start_logit_AKSHLF(5) -2.84123 0.443505 Act 0.215877 +Age_DblN_descend_se_AKSHLF(5) 1.83072 0.152407 Act 0.18299 +Age_DblN_start_logit_AKSHLF(5) -2.8991 0.440147 Act 0.21009 Age_DblN_end_logit_AKSHLF(5) -4.99 0 Fix 0.001 -Age_DblN_peak_AKSLP(6) 2.47448 0.164595 Act 0.134044 +Age_DblN_peak_AKSLP(6) 2.47666 0.160458 Act 0.134242 Age_DblN_top_logit_AKSLP(6) -4 0 Fix 0.1 Age_DblN_ascend_se_AKSLP(6) 0.1 0 Fix 0.00990099 -Age_DblN_descend_se_AKSLP(6) 0.924466 0.918957 Act 0.0923558 -Age_DblN_start_logit_AKSLP(6) -1.61349 0.217776 Act 0.338651 -Age_DblN_end_logit_AKSLP(6) -0.900193 0.216778 Act 0.409981 +Age_DblN_descend_se_AKSLP(6) 0.959264 0.89105 Act 0.095836 +Age_DblN_start_logit_AKSLP(6) -1.69023 0.21721 Act 0.330977 +Age_DblN_end_logit_AKSLP(6) -0.90196 0.217373 Act 0.409804 Age_DblN_peak_NWSLP(7) 3 0 Fix 0.181818 Age_DblN_top_logit_NWSLP(7) -4 0 Fix 0.1 -Age_DblN_ascend_se_NWSLP(7) 1.19262 0.220176 Act 0.119173 -Age_DblN_descend_se_NWSLP(7) 0.857722 0.632399 Act 0.0856808 -Age_DblN_start_logit_NWSLP(7) -3.74973 0.495681 Act 0.125027 -Age_DblN_end_logit_NWSLP(7) -0.0760728 0.2069 Act 0.492393 +Age_DblN_ascend_se_NWSLP(7) 1.15962 0.211368 Act 0.115873 +Age_DblN_descend_se_NWSLP(7) 0.933127 0.618045 Act 0.093222 +Age_DblN_start_logit_NWSLP(7) -3.83639 0.496015 Act 0.116361 +Age_DblN_end_logit_NWSLP(7) -0.0680658 0.209525 Act 0.493193 Age_DblN_peak_NWCBO(8) 1.5 0 Fix 0.285714 Age_DblN_top_logit_NWCBO(8) -4 0 Fix 0.1 Age_DblN_ascend_se_NWCBO(8) 0.5 0 Fix 0.0998199 -Age_DblN_descend_se_NWCBO(8) 2.99422 0.16224 Act 0.299352 -Age_DblN_start_logit_NWCBO(8) -0.732127 0.16392 Act 0.426787 -Age_DblN_end_logit_NWCBO(8) -0.83284 0.138793 Act 0.416716 +Age_DblN_descend_se_NWCBO(8) 3.05793 0.173637 Act 0.305724 +Age_DblN_start_logit_NWCBO(8) -0.841442 0.160095 Act 0.415856 +Age_DblN_end_logit_NWCBO(8) -0.733298 0.15424 Act 0.42667 Retain_L_infl_HKL(1)_BLK3repl_1970 25 0 Fix 0 Retain_L_asymptote_logit_HKL(1)_BLK1repl_1970 1 0 Fix 0.999997 Retain_L_infl_POT(2)_BLK3repl_1970 25 0 Fix 0 Retain_L_asymptote_logit_POT(2)_BLK1repl_1970 1 0 Fix 0.999997 Retain_L_infl_TWL(3)_BLK3repl_1970 25 0 Fix 0 -Retain_L_asymptote_logit_TWL(3)_BLK2repl_1982 1 1.81077e-05 Act 0.999997 -AgeSpline_Val_3_HKL_1_BLK4repl_1970 -0.776336 0.23219 Act 0.527958 -AgeSpline_Val_4_HKL_1_BLK4repl_1970 -0.913952 0.195008 Act 0.510756 -AgeSpline_Val_2_POT_2_BLK4repl_1970 -0.447535 0.198861 Act 0.569058 -AgeSpline_Val_4_POT_2_BLK4repl_1970 -0.239366 0.220731 Act 0.595079 -AgeSpline_Val_2_TWL_3_BLK4repl_1970 0.676126 0.100666 Act 0.709516 -AgeSpline_Val_4_TWL_3_BLK4repl_1970 -0.242855 0.141117 Act 0.594643 +Retain_L_asymptote_logit_TWL(3)_BLK2repl_1982 1 1.98696e-05 Act 0.999997 +AgeSpline_Val_3_HKL_1_BLK4repl_1970 -0.738826 0.231254 Act 0.532647 +AgeSpline_Val_4_HKL_1_BLK4repl_1970 -0.90923 0.195561 Act 0.511346 +AgeSpline_Val_2_POT_2_BLK4repl_1970 -0.508931 0.198721 Act 0.561384 +AgeSpline_Val_4_POT_2_BLK4repl_1970 -0.274509 0.219772 Act 0.590686 +AgeSpline_Val_2_TWL_3_BLK4repl_1970 0.661271 0.0981673 Act 0.707659 +AgeSpline_Val_4_TWL_3_BLK4repl_1970 -0.279889 0.140804 Act 0.590014 #_Parm_Dev LnQ_base_AKSHLF(5)_DEVmult_1980 0 0 FIX 0.5 LnQ_base_AKSHLF(5)_DEVmult_1981 0 0 FIX 0.5 @@ -261,532 +258,532 @@ LnQ_base_AKSHLF(5)_DEVmult_2003 0 0 FIX 0.5 LnQ_base_AKSHLF(5)_DEVmult_2004 0 0 FIX 0.5 #_Derived_Quantities #_Spawn_Bio -SSB_Virgin 968779 298618 -SSB_Initial 968779 298618 -SSB_1970 968779 298618 -SSB_1971 967355 298649 -SSB_1972 966043 298668 -SSB_1973 993900 312964 -SSB_1974 1.02375e+06 328739 -SSB_1975 1.048e+06 343203 -SSB_1976 1.05852e+06 352882 -SSB_1977 1.05234e+06 357750 -SSB_1978 1.04703e+06 359940 -SSB_1979 1.04448e+06 363681 -SSB_1980 1.02979e+06 364802 -SSB_1981 1.00809e+06 361120 -SSB_1982 988947 358347 -SSB_1983 958027 352280 -SSB_1984 931423 346798 -SSB_1985 903658 340598 -SSB_1986 868950 331815 -SSB_1987 835366 323024 -SSB_1988 811544 317495 -SSB_1989 795199 314345 -SSB_1990 779944 311483 -SSB_1991 764930 308488 -SSB_1992 750708 305881 -SSB_1993 741653 305206 -SSB_1994 729985 303282 -SSB_1995 714043 299587 -SSB_1996 691528 293204 -SSB_1997 667519 286110 -SSB_1998 649879 281402 -SSB_1999 628583 274424 -SSB_2000 602095 265531 -SSB_2001 574898 256064 -SSB_2002 564630 253436 -SSB_2003 571445 257622 -SSB_2004 581090 263354 -SSB_2005 588823 268307 -SSB_2006 588490 269895 -SSB_2007 581579 268570 -SSB_2008 567441 263820 -SSB_2009 546756 256210 -SSB_2010 520863 246428 -SSB_2011 512295 243914 -SSB_2012 501960 240533 -SSB_2013 495766 238756 -SSB_2014 485905 235103 -SSB_2015 471918 229561 -SSB_2016 469749 229383 -SSB_2017 464706 227953 -SSB_2018 462079 225997 -SSB_2019 463357 225810 -SSB_2020 464204 225899 -SSB_2021 463986 225993 -SSB_2022 462278 225676 -SSB_2023 459281 224911 -SSB_2024 455354 223862 -SSB_2025 450956 222778 -SSB_2026 446449 221859 +SSB_Virgin 655322 143427 +SSB_Initial 655322 143427 +SSB_1970 655322 143427 +SSB_1971 653843 143456 +SSB_1972 652502 143475 +SSB_1973 667226 149770 +SSB_1974 683560 157210 +SSB_1975 695999 163991 +SSB_1976 699268 168338 +SSB_1977 689686 170495 +SSB_1978 683008 171268 +SSB_1979 676984 172562 +SSB_1980 661257 172777 +SSB_1981 643791 170613 +SSB_1982 627756 168902 +SSB_1983 603580 165619 +SSB_1984 583181 162602 +SSB_1985 562421 159254 +SSB_1986 537373 154718 +SSB_1987 513435 150187 +SSB_1988 495908 147167 +SSB_1989 483452 145249 +SSB_1990 471774 143477 +SSB_1991 460442 141664 +SSB_1992 449458 140041 +SSB_1993 441718 139310 +SSB_1994 432630 138032 +SSB_1995 420972 135965 +SSB_1996 405365 132703 +SSB_1997 388884 129137 +SSB_1998 376235 126637 +SSB_1999 362154 123141 +SSB_2000 344747 118813 +SSB_2001 327159 114251 +SSB_2002 319724 112692 +SSB_2003 322851 114103 +SSB_2004 327427 116191 +SSB_2005 331070 117954 +SSB_2006 329980 118266 +SSB_2007 325147 117332 +SSB_2008 316330 114935 +SSB_2009 303625 111322 +SSB_2010 287694 106793 +SSB_2011 282442 105419 +SSB_2012 276169 103687 +SSB_2013 272521 102662 +SSB_2014 266931 100853 +SSB_2015 258956 98257.8 +SSB_2016 257913 98018.3 +SSB_2017 255106 97278.1 +SSB_2018 254691 96485.1 +SSB_2019 256768 97118.2 +SSB_2020 259023 98383.6 +SSB_2021 260971 100007 +SSB_2022 262253 101593 +SSB_2023 262845 103221 +SSB_2024 262855 104739 +SSB_2025 262494 106375 +SSB_2026 261962 108194 #_Recruitment -Recr_Virgin 161894 43721.9 -Recr_Initial 161894 43721.9 -Recr_1970 495463 321013 -Recr_1971 202728 195651 -Recr_1972 169925 148015 -Recr_1973 147778 122140 -Recr_1974 141365 118878 -Recr_1975 207026 183164 -Recr_1976 351264 210334 -Recr_1977 112875 79127.8 -Recr_1978 40007.6 27508.8 -Recr_1979 291022 92164.4 -Recr_1980 79473.3 37154.4 -Recr_1981 178566 59827.4 -Recr_1982 216093 59812.2 -Recr_1983 62116.2 25157.6 -Recr_1984 197925 41173.1 -Recr_1985 325787 68734.3 -Recr_1986 243361 58448.7 -Recr_1987 144834 40159.3 -Recr_1988 142346 42614 -Recr_1989 179987 55707.2 -Recr_1990 227969 67887.6 -Recr_1991 100552 34684.4 -Recr_1992 84901.4 30413.4 -Recr_1993 56346 20987.8 -Recr_1994 105642 35330.4 -Recr_1995 186462 59479.2 -Recr_1996 17232.5 7664.27 -Recr_1997 24749.7 9135.61 -Recr_1998 64954.3 24405.8 -Recr_1999 290338 93605.3 -Recr_2000 273108 90436.5 -Recr_2001 118303 42119.1 -Recr_2002 90557.5 33855 -Recr_2003 57401.7 20572.1 -Recr_2004 73082.4 25440.5 -Recr_2005 41261.7 14475.7 -Recr_2006 32015.8 11254.2 -Recr_2007 28380.5 10232.7 -Recr_2008 285045 94785.7 -Recr_2009 31587.8 10868.1 -Recr_2010 103253 36025.7 -Recr_2011 33304.1 13204.7 -Recr_2012 33061.9 13333.2 -Recr_2013 214409 86740.6 -Recr_2014 37042.6 18921 -Recr_2015 137727 138028 -Recr_2016 137542 137874 -Recr_2017 137107 137483 -Recr_2018 136878 137241 -Recr_2019 136990 137311 -Recr_2020 137064 137340 -Recr_2021 137045 137280 -Recr_2022 136896 137095 -Recr_2023 136633 136801 -Recr_2024 136284 136428 -Recr_2025 135888 136014 -Recr_2026 135477 135590 +Recr_Virgin 113657 21938.8 +Recr_Initial 113657 21938.8 +Recr_1970 309326 204167 +Recr_1971 143164 142323 +Recr_1972 122432 108705 +Recr_1973 107447 89597.4 +Recr_1974 90985.6 76108.5 +Recr_1975 137256 123421 +Recr_1976 240712 143802 +Recr_1977 74745.5 51613.2 +Recr_1978 28870.5 19296.1 +Recr_1979 202645 58489.8 +Recr_1980 58847.4 23860.7 +Recr_1981 122189 33709.8 +Recr_1982 177475 52992.7 +Recr_1983 47156.7 19053.5 +Recr_1984 157178 32378.7 +Recr_1985 247693 48548.5 +Recr_1986 180541 39086.3 +Recr_1987 104983 26169.9 +Recr_1988 99965.3 25768 +Recr_1989 126319 34475.3 +Recr_1990 158533 39597.6 +Recr_1991 69070.8 20604.8 +Recr_1992 57194.2 18225.8 +Recr_1993 37910.4 12297.7 +Recr_1994 69668.9 18881.2 +Recr_1995 120870 30807.1 +Recr_1996 11261.1 4573.53 +Recr_1997 16003.8 4946.34 +Recr_1998 40481.2 11894 +Recr_1999 189588 46253.5 +Recr_2000 179713 43979.3 +Recr_2001 76428 20557.6 +Recr_2002 58453.9 15622.7 +Recr_2003 37750.4 9296.49 +Recr_2004 48787.5 11396.1 +Recr_2005 27367.3 6562.79 +Recr_2006 21100.6 5136.16 +Recr_2007 18558.8 4692.16 +Recr_2008 196326 42319.4 +Recr_2009 20423.9 5125.3 +Recr_2010 69141.4 16421 +Recr_2011 21806.8 6089.63 +Recr_2012 21973.5 6264.3 +Recr_2013 137857 39759.9 +Recr_2014 24010.3 10435.1 +Recr_2015 90555.8 88763.5 +Recr_2016 90433 88650.2 +Recr_2017 90098.9 88340.2 +Recr_2018 90049 88272.4 +Recr_2019 90297.3 88494.3 +Recr_2020 90563.7 88736 +Recr_2021 90791.4 88943.1 +Recr_2022 90940 89074.6 +Recr_2023 91008.4 89135.4 +Recr_2024 91009.5 89134.3 +Recr_2025 90967.9 89099.5 +Recr_2026 90906.4 89053.1 #_SPR Basis= (1-SPR)/(1-SPR_45%) -SPRratio_1970 0.138349 0.0390769 -SPRratio_1971 0.129014 0.032606 -SPRratio_1972 0.188797 0.0488747 -SPRratio_1973 0.202469 0.0532925 -SPRratio_1974 0.283528 0.0697468 -SPRratio_1975 0.459815 0.116953 -SPRratio_1976 0.712228 0.177796 -SPRratio_1977 0.301267 0.0785501 -SPRratio_1978 0.446022 0.113318 -SPRratio_1979 0.737406 0.174053 -SPRratio_1980 0.362816 0.0955418 -SPRratio_1981 0.441782 0.115713 -SPRratio_1982 1.10601 0.266429 -SPRratio_1983 0.925508 0.230716 -SPRratio_1984 0.970152 0.248092 -SPRratio_1985 0.918312 0.237819 -SPRratio_1986 0.86775 0.230238 -SPRratio_1987 0.825534 0.22525 -SPRratio_1988 0.719078 0.202153 -SPRratio_1989 0.743736 0.212173 -SPRratio_1990 0.677673 0.198704 -SPRratio_1991 0.645618 0.193431 -SPRratio_1992 0.666495 0.20372 -SPRratio_1993 0.615285 0.192063 -SPRratio_1994 0.555126 0.174211 -SPRratio_1995 0.578485 0.183269 -SPRratio_1996 0.630861 0.201474 -SPRratio_1997 0.567211 0.186084 -SPRratio_1998 0.353698 0.121764 -SPRratio_1999 0.561927 0.187753 -SPRratio_2000 0.529743 0.178956 -SPRratio_2001 0.473668 0.163914 -SPRratio_2002 0.277124 0.100007 -SPRratio_2003 0.372064 0.13873 -SPRratio_2004 0.408434 0.152395 -SPRratio_2005 0.419379 0.156468 -SPRratio_2006 0.42993 0.160498 -SPRratio_2007 0.400864 0.151196 -SPRratio_2008 0.479429 0.178995 -SPRratio_2009 0.572003 0.210061 -SPRratio_2010 0.507015 0.189408 -SPRratio_2011 0.346373 0.133905 -SPRratio_2012 0.315827 0.124311 -SPRratio_2013 0.283633 0.113754 -SPRratio_2014 0.279329 0.112227 -SPRratio_2015 0.287875 0.124877 -SPRratio_2016 0.310026 0.132613 -SPRratio_2017 0.928946 0.213393 -SPRratio_2018 0.928946 0.219709 -SPRratio_2019 0.928946 0.227187 -SPRratio_2020 0.928946 0.235531 -SPRratio_2021 0.928946 0.244955 -SPRratio_2022 0.928946 0.255944 -SPRratio_2023 0.928946 0.266083 -SPRratio_2024 0.928946 0.274578 -SPRratio_2025 0.928946 0.282909 -SPRratio_2026 0.928946 0.291122 +SPRratio_1970 0.179743 0.0305229 +SPRratio_1971 0.159877 0.0230586 +SPRratio_1972 0.237808 0.0358673 +SPRratio_1973 0.251008 0.0375397 +SPRratio_1974 0.348472 0.0485944 +SPRratio_1975 0.561104 0.0865923 +SPRratio_1976 0.858956 0.133352 +SPRratio_1977 0.374459 0.056779 +SPRratio_1978 0.545263 0.0792997 +SPRratio_1979 0.902525 0.12244 +SPRratio_1980 0.45221 0.0677984 +SPRratio_1981 0.557291 0.0837884 +SPRratio_1982 1.31015 0.158506 +SPRratio_1983 1.11362 0.144275 +SPRratio_1984 1.17454 0.156407 +SPRratio_1985 1.11969 0.153052 +SPRratio_1986 1.06531 0.151307 +SPRratio_1987 1.02575 0.152419 +SPRratio_1988 0.907054 0.142589 +SPRratio_1989 0.938353 0.149947 +SPRratio_1990 0.860713 0.143404 +SPRratio_1991 0.829303 0.143382 +SPRratio_1992 0.862504 0.153522 +SPRratio_1993 0.803916 0.148282 +SPRratio_1994 0.729767 0.136709 +SPRratio_1995 0.762062 0.144123 +SPRratio_1996 0.830896 0.15791 +SPRratio_1997 0.761187 0.15194 +SPRratio_1998 0.487665 0.106466 +SPRratio_1999 0.757119 0.155193 +SPRratio_2000 0.718542 0.150171 +SPRratio_2001 0.652106 0.14183 +SPRratio_2002 0.394986 0.0935183 +SPRratio_2003 0.559391 0.137997 +SPRratio_2004 0.611856 0.150105 +SPRratio_2005 0.625778 0.152265 +SPRratio_2006 0.635921 0.152183 +SPRratio_2007 0.589324 0.140799 +SPRratio_2008 0.694637 0.160379 +SPRratio_2009 0.81995 0.182971 +SPRratio_2010 0.735959 0.170535 +SPRratio_2011 0.521198 0.131735 +SPRratio_2012 0.479244 0.124494 +SPRratio_2013 0.433484 0.115493 +SPRratio_2014 0.42591 0.11327 +SPRratio_2015 0.442266 0.142394 +SPRratio_2016 0.473354 0.148635 +SPRratio_2017 0.923719 0.203267 +SPRratio_2018 0.923303 0.209956 +SPRratio_2019 0.925375 0.217872 +SPRratio_2020 0.927583 0.226677 +SPRratio_2021 0.929459 0.237242 +SPRratio_2022 0.930559 0.247203 +SPRratio_2023 0.930559 0.258983 +SPRratio_2024 0.930559 0.268542 +SPRratio_2025 0.930559 0.277539 +SPRratio_2026 0.930401 0.287509 #_F Basis= _abs_F;_with_F=Exploit(bio) -F_1970 0.00216871 0.00064761 -F_1971 0.00161142 0.000518597 -F_1972 0.00265827 0.000843179 -F_1973 0.00229801 0.000734955 -F_1974 0.00319065 0.00107239 -F_1975 0.00550177 0.00190383 -F_1976 0.0102074 0.00356377 -F_1977 0.00320363 0.00109372 -F_1978 0.00436581 0.0015147 -F_1979 0.0100575 0.00354504 -F_1980 0.00330715 0.00117846 -F_1981 0.00461122 0.00164028 -F_1982 0.0113852 0.00490423 -F_1983 0.00702265 0.00267312 -F_1984 0.00908355 0.00382706 -F_1985 0.0107561 0.00460447 -F_1986 0.00937106 0.00389566 -F_1987 0.00819747 0.00332007 -F_1988 0.00712829 0.00286185 -F_1989 0.00742822 0.00307154 -F_1990 0.0071947 0.00299166 -F_1991 0.00608097 0.00248142 -F_1992 0.00602759 0.00248812 -F_1993 0.0050324 0.00208397 -F_1994 0.00499354 0.00207975 -F_1995 0.00615535 0.0026066 -F_1996 0.00500424 0.00212221 -F_1997 0.00482071 0.00206185 -F_1998 0.00299129 0.00128073 -F_1999 0.00697374 0.00313178 -F_2000 0.00687709 0.00310042 -F_2001 0.00514763 0.00229972 -F_2002 0.00319173 0.00141867 -F_2003 0.00390216 0.00176626 -F_2004 0.00409318 0.00186827 -F_2005 0.00408306 0.00186706 -F_2006 0.00405267 0.0018621 -F_2007 0.00355531 0.00164469 -F_2008 0.00671165 0.0032751 -F_2009 0.00544586 0.002572 -F_2010 0.00611597 0.00294086 -F_2011 0.00474567 0.00226113 -F_2012 0.00364004 0.00173477 -F_2013 0.00406361 0.00196551 -F_2014 0.00312678 0.0015144 -F_2015 0.0045839 0.00222118 -F_2016 0.00525022 0.00256136 -F_2017 0.0148792 0.00170523 -F_2018 0.0160284 0.0019221 -F_2019 0.0162474 0.00234456 -F_2020 0.0160964 0.00271388 -F_2021 0.0160996 0.00303939 -F_2022 0.0160977 0.00334449 -F_2023 0.0162251 0.0036439 -F_2024 0.0163394 0.00391997 -F_2025 0.0163617 0.00416314 -F_2026 0.0162649 0.00437224 +F_1970 0.00305989 0.000659766 +F_1971 0.00235309 0.000541315 +F_1972 0.00392056 0.000884958 +F_1973 0.00338553 0.000774016 +F_1974 0.00473675 0.00114989 +F_1975 0.0081335 0.00202622 +F_1976 0.0149891 0.00374919 +F_1977 0.00482648 0.00118474 +F_1978 0.00669876 0.00169906 +F_1979 0.0151485 0.0038009 +F_1980 0.00513818 0.00134251 +F_1981 0.00708876 0.00182774 +F_1982 0.01792 0.00542382 +F_1983 0.0110999 0.0030726 +F_1984 0.0143551 0.0042485 +F_1985 0.0167562 0.00493768 +F_1986 0.0147021 0.00427267 +F_1987 0.0130536 0.00380175 +F_1988 0.0113409 0.0032913 +F_1989 0.011781 0.00349095 +F_1990 0.0113515 0.00335424 +F_1991 0.00989415 0.00298175 +F_1992 0.0098589 0.00301927 +F_1993 0.00832925 0.00259139 +F_1994 0.0081734 0.00252743 +F_1995 0.00992224 0.0030629 +F_1996 0.00851586 0.00277501 +F_1997 0.00820898 0.00269617 +F_1998 0.00503513 0.00164356 +F_1999 0.011334 0.00373662 +F_2000 0.0113676 0.00382945 +F_2001 0.008806 0.00302399 +F_2002 0.00553576 0.00191348 +F_2003 0.00690527 0.0024463 +F_2004 0.00725411 0.00258207 +F_2005 0.00725475 0.00258498 +F_2006 0.00720287 0.00257219 +F_2007 0.00633202 0.00227532 +F_2008 0.0119776 0.0044803 +F_2009 0.00978371 0.00359337 +F_2010 0.0109981 0.00409932 +F_2011 0.00861602 0.00321852 +F_2012 0.00657604 0.00243744 +F_2013 0.00727539 0.00270564 +F_2014 0.00567974 0.0021374 +F_2015 0.00834069 0.00314546 +F_2016 0.00957551 0.00363667 +F_2017 0.017397 0.00130446 +F_2018 0.0188128 0.00147662 +F_2019 0.0191021 0.00233528 +F_2020 0.0190371 0.00299625 +F_2021 0.0191357 0.00350913 +F_2022 0.0192385 0.00437374 +F_2023 0.019459 0.00478347 +F_2024 0.0196358 0.00515229 +F_2025 0.0196667 0.00546154 +F_2026 0.0195422 0.00548387 #_Depletion Basis= 100%*Virgin_Biomass -Bratio_1971 0.99853 0.000495766 -Bratio_1972 0.997176 0.000933929 -Bratio_1973 1.02593 0.0268409 -Bratio_1974 1.05674 0.0439442 -Bratio_1975 1.08177 0.0563187 -Bratio_1976 1.09263 0.0631979 -Bratio_1977 1.08625 0.0667075 -Bratio_1978 1.08077 0.0669578 -Bratio_1979 1.07814 0.0689922 -Bratio_1980 1.06298 0.071692 -Bratio_1981 1.04058 0.0728671 -Bratio_1982 1.02082 0.0743939 -Bratio_1983 0.988901 0.0761169 -Bratio_1984 0.96144 0.0775229 -Bratio_1985 0.93278 0.0787124 -Bratio_1986 0.896954 0.0794316 -Bratio_1987 0.862288 0.0799524 -Bratio_1988 0.837698 0.0809673 -Bratio_1989 0.820826 0.0822834 -Bratio_1990 0.80508 0.0836493 -Bratio_1991 0.789582 0.0848891 -Bratio_1992 0.774901 0.0863228 -Bratio_1993 0.765554 0.0882178 -Bratio_1994 0.75351 0.0896667 -Bratio_1995 0.737054 0.0906108 -Bratio_1996 0.713814 0.0907929 -Bratio_1997 0.689031 0.0907014 -Bratio_1998 0.670823 0.0911268 -Bratio_1999 0.64884 0.090387 -Bratio_2000 0.621499 0.0892609 -Bratio_2001 0.593426 0.0877721 -Bratio_2002 0.582827 0.0881203 -Bratio_2003 0.589861 0.0902608 -Bratio_2004 0.599816 0.0931399 -Bratio_2005 0.607799 0.0958812 -Bratio_2006 0.607455 0.097646 -Bratio_2007 0.600322 0.0984324 -Bratio_2008 0.585728 0.0979076 -Bratio_2009 0.564377 0.096427 -Bratio_2010 0.537649 0.094286 -Bratio_2011 0.528805 0.0943194 -Bratio_2012 0.518137 0.0940198 -Bratio_2013 0.511743 0.0941306 -Bratio_2014 0.501564 0.0934479 -Bratio_2015 0.487127 0.0920758 -Bratio_2016 0.484887 0.0926393 -Bratio_2017 0.479682 0.0927804 -Bratio_2018 0.47697 0.0921248 -Bratio_2019 0.47829 0.0934795 -Bratio_2020 0.479164 0.0970848 -Bratio_2021 0.478939 0.10223 -Bratio_2022 0.477176 0.107759 -Bratio_2023 0.474082 0.11309 -Bratio_2024 0.470029 0.118128 -Bratio_2025 0.465489 0.122971 -Bratio_2026 0.460837 0.127729 +Bratio_1971 0.997744 0.000555881 +Bratio_1972 0.995696 0.00103749 +Bratio_1973 1.01817 0.0272658 +Bratio_1974 1.04309 0.0436451 +Bratio_1975 1.06207 0.0547485 +Bratio_1976 1.06706 0.0601407 +Bratio_1977 1.05244 0.0627043 +Bratio_1978 1.04225 0.0622828 +Bratio_1979 1.03306 0.0636383 +Bratio_1980 1.00906 0.0657978 +Bratio_1981 0.982404 0.0664232 +Bratio_1982 0.957934 0.0674651 +Bratio_1983 0.921043 0.0686637 +Bratio_1984 0.889915 0.069534 +Bratio_1985 0.858236 0.0701848 +Bratio_1986 0.820014 0.0704109 +Bratio_1987 0.783485 0.0704452 +Bratio_1988 0.75674 0.0708934 +Bratio_1989 0.737732 0.0715729 +Bratio_1990 0.719911 0.0723031 +Bratio_1991 0.70262 0.0729324 +Bratio_1992 0.685858 0.0737582 +Bratio_1993 0.674047 0.0749721 +Bratio_1994 0.660179 0.0758032 +Bratio_1995 0.64239 0.0762297 +Bratio_1996 0.618574 0.0760481 +Bratio_1997 0.593425 0.0756668 +Bratio_1998 0.574122 0.075725 +Bratio_1999 0.552635 0.0747699 +Bratio_2000 0.526072 0.0735629 +Bratio_2001 0.499234 0.072064 +Bratio_2002 0.487888 0.07198 +Bratio_2003 0.49266 0.0731675 +Bratio_2004 0.499642 0.0749371 +Bratio_2005 0.505202 0.0765687 +Bratio_2006 0.503538 0.0774641 +Bratio_2007 0.496163 0.0776214 +Bratio_2008 0.482709 0.0767838 +Bratio_2009 0.463322 0.0752745 +Bratio_2010 0.439012 0.0733364 +Bratio_2011 0.430997 0.0729094 +Bratio_2012 0.421424 0.0722635 +Bratio_2013 0.415858 0.0719095 +Bratio_2014 0.407328 0.0709745 +Bratio_2015 0.395158 0.0695674 +Bratio_2016 0.393567 0.0696276 +Bratio_2017 0.389283 0.0694497 +Bratio_2018 0.388649 0.0689344 +Bratio_2019 0.39182 0.0711907 +Bratio_2020 0.39526 0.0760723 +Bratio_2021 0.398233 0.0825987 +Bratio_2022 0.400189 0.0894781 +Bratio_2023 0.401093 0.0963368 +Bratio_2024 0.401108 0.102854 +Bratio_2025 0.400557 0.109233 +Bratio_2026 0.399745 0.11553 #_Mgmt_Quantity -SSB_unfished 968779 298807 -Totbio_unfished 3.05391e+06 950716 -SmryBio_unfished 2.82022e+06 886667 -Recr_unfished 161894 43721.9 -SSB_Btgt 387512 119523 -SPR_Btgt 0.5 3.90604e-17 -annF_Btgt 0.0165986 0.00143147 -Dead_Catch_Btgt 19606.5 4905.03 -SSB_SPR 329385 101594 -annF_SPR 0.0191534 0.00165695 -Dead_Catch_SPR 19339.1 4829.02 -SSB_MSY 385469 120160 -SPR_MSY 0.498243 0.00158177 -annF_MSY 0.0166836 0.00150541 -Dead_Catch_MSY 19606.9 4904.78 -Ret_Catch_MSY 15070.3 3679.15 -B_MSY/SSB_unfished 0.397892 0.00189813 -ForeCatch_2015 6512 8.01132e-07 -ForeCatch_2016 7121 6.83391e-07 -ForeCatch_2017 21448.7 8522.77 -ForeCatch_2018 22238.3 8713.47 -ForeCatch_2019 22908.5 8819.68 -ForeCatch_2020 23108.3 8678.9 -ForeCatch_2021 22972.7 8382.44 -ForeCatch_2022 22782.7 8071.27 -ForeCatch_2023 22751.9 7855.91 -ForeCatch_2024 22690.4 7656.38 -ForeCatch_2025 22500.8 7429.12 -ForeCatch_2026 22157 7155.77 -OFLCatch_2015 22964.4 9191.48 -OFLCatch_2016 23174.2 9275.54 -OFLCatch_2017 23492.5 9334.91 -OFLCatch_2018 24357.4 9543.78 -OFLCatch_2019 25091.5 9660.11 -OFLCatch_2020 25310.3 9505.92 -OFLCatch_2021 25161.8 9181.21 -OFLCatch_2022 24953.7 8840.38 -OFLCatch_2023 24920 8604.5 -OFLCatch_2024 24852.6 8385.96 -OFLCatch_2025 24644.9 8137.04 -OFLCatch_2026 24268.3 7837.65 -ForeCatchret_2015 5367.96 612.527 -ForeCatchret_2016 5895.27 669.742 -ForeCatchret_2017 16381.5 7316.8 -ForeCatchret_2018 17225.3 7533.78 -ForeCatchret_2019 17955.7 7674.91 -ForeCatchret_2020 18177.7 7565.35 -ForeCatchret_2021 18049.5 7309.14 -ForeCatchret_2022 17867.2 7039.93 -ForeCatchret_2023 17847.4 6858.82 -ForeCatchret_2024 17798.9 6686.52 -ForeCatchret_2025 17624.5 6483.02 -ForeCatchret_2026 17296.7 6238.41 +SSB_unfished 655322 143534 +Totbio_unfished 2.05093e+06 457151 +SmryBio_unfished 1.88803e+06 425495 +Recr_unfished 113657 21938.8 +SSB_Btgt 262129 57413.6 +SPR_Btgt 0.5 2.20676e-17 +annF_Btgt 0.0188892 0.00177815 +Dead_Catch_Btgt 15027 2253.14 +SSB_SPR 222810 48801.5 +annF_SPR 0.0218106 0.00206578 +Dead_Catch_SPR 14844.4 2214.06 +SSB_MSY 258569 58134.7 +SPR_MSY 0.495474 0.00237116 +annF_MSY 0.0191405 0.00192314 +Dead_Catch_MSY 15028.7 2252.3 +Ret_Catch_MSY 11909.9 1650.68 +B_MSY/SSB_unfished 0.394568 0.0028454 +ForeCatch_2015 6512 6.81331e-07 +ForeCatch_2016 7121 9.63995e-07 +ForeCatch_2017 13830.6 4612.74 +ForeCatch_2018 14389.9 4710.89 +ForeCatch_2019 14949.5 4750.36 +ForeCatch_2020 15265.4 4644.93 +ForeCatch_2021 15379.9 4444.62 +ForeCatch_2022 15466.1 3558.38 +ForeCatch_2023 15626.5 3434.87 +ForeCatch_2024 15738 3325.34 +ForeCatch_2025 15725.5 3215.9 +ForeCatch_2026 15588.1 3579.99 +OFLCatch_2015 14812.4 4118.43 +OFLCatch_2016 15008.5 4163.61 +OFLCatch_2017 15288.8 4215.26 +OFLCatch_2018 15916.1 4309.89 +OFLCatch_2019 16488.8 4348.97 +OFLCatch_2020 16787.2 4258.9 +OFLCatch_2021 16870.4 4087.11 +OFLCatch_2022 16939.9 3897.46 +OFLCatch_2023 17115.6 3762.18 +OFLCatch_2024 17237.7 3642.21 +OFLCatch_2025 17224 3522.34 +OFLCatch_2026 17077.1 3394.12 +ForeCatchret_2015 5394.01 595.567 +ForeCatchret_2016 5921.23 648.67 +ForeCatchret_2017 10622.4 3955.19 +ForeCatchret_2018 11210.7 4077.95 +ForeCatchret_2019 11788 4150.28 +ForeCatchret_2020 12098 4081.34 +ForeCatchret_2021 12199.9 3928.77 +ForeCatchret_2022 12277.2 3299.56 +ForeCatchret_2023 12435.8 3210.32 +ForeCatchret_2024 12547.3 3128.74 +ForeCatchret_2025 12536.6 3042.45 +ForeCatchret_2026 12402.6 3264.1 #_Extra_stdev -ln(SPB)_1970 13.7838 0.308242 -ln(SPB)_1992 13.5288 0.407457 -ln(SPB)_2014 13.0938 0.483846 -SmryBio_Virgin 2.82022e+06 0.0 -SmryBio_Initial 2.82022e+06 0.0 -SmryBio_1970 2.82022e+06 0.0 -SmryBio_1971 2.81672e+06 0.0 -SmryBio_1972 2.81343e+06 0.0 -SmryBio_1973 2.8077e+06 0.0 -SmryBio_1974 3.08849e+06 0.0 -SmryBio_1975 3.13866e+06 0.0 -SmryBio_1976 3.13525e+06 0.0 -SmryBio_1977 3.08681e+06 0.0 -SmryBio_1978 3.03199e+06 0.0 -SmryBio_1979 3.00546e+06 0.0 -SmryBio_1980 3.03993e+06 0.0 -SmryBio_1981 2.96516e+06 0.0 -SmryBio_1982 2.81845e+06 0.0 -SmryBio_1983 2.80439e+06 0.0 -SmryBio_1984 2.68811e+06 0.0 -SmryBio_1985 2.63973e+06 0.0 -SmryBio_1986 2.55618e+06 0.0 -SmryBio_1987 2.41828e+06 0.0 -SmryBio_1988 2.34233e+06 0.0 -SmryBio_1989 2.34937e+06 0.0 -SmryBio_1990 2.33623e+06 0.0 -SmryBio_1991 2.27939e+06 0.0 -SmryBio_1992 2.22586e+06 0.0 -SmryBio_1993 2.19367e+06 0.0 -SmryBio_1994 2.20204e+06 0.0 -SmryBio_1995 2.13979e+06 0.0 -SmryBio_1996 2.06179e+06 0.0 -SmryBio_1997 1.96433e+06 0.0 -SmryBio_1998 1.90271e+06 0.0 -SmryBio_1999 1.90493e+06 0.0 -SmryBio_2000 1.79951e+06 0.0 -SmryBio_2001 1.69505e+06 0.0 -SmryBio_2002 1.62524e+06 0.0 -SmryBio_2003 1.71484e+06 0.0 -SmryBio_2004 1.81747e+06 0.0 -SmryBio_2005 1.8217e+06 0.0 -SmryBio_2006 1.80396e+06 0.0 -SmryBio_2007 1.74964e+06 0.0 -SmryBio_2008 1.7004e+06 0.0 -SmryBio_2009 1.62451e+06 0.0 -SmryBio_2010 1.53831e+06 0.0 -SmryBio_2011 1.45096e+06 0.0 -SmryBio_2012 1.55308e+06 0.0 -SmryBio_2013 1.4935e+06 0.0 -SmryBio_2014 1.48046e+06 0.0 -SmryBio_2015 1.42062e+06 0.0 -SmryBio_2016 1.35633e+06 0.0 -SmryBio_2017 1.44152e+06 0.0 -SmryBio_2018 1.38743e+06 0.0 -SmryBio_2019 1.40998e+06 0.0 -SmryBio_2020 1.43562e+06 0.0 -SmryBio_2021 1.42691e+06 0.0 -SmryBio_2022 1.41528e+06 0.0 -SmryBio_2023 1.40227e+06 0.0 -SmryBio_2024 1.3887e+06 0.0 -SmryBio_2025 1.37521e+06 0.0 -SmryBio_2026 1.36226e+06 0.0 +ln(SPB)_1970 13.3929 0.218866 +ln(SPB)_1992 13.0158 0.311578 +ln(SPB)_2014 12.4947 0.377825 +SmryBio_Virgin 1.88803e+06 0.0 +SmryBio_Initial 1.88803e+06 0.0 +SmryBio_1970 1.88803e+06 0.0 +SmryBio_1971 1.88439e+06 0.0 +SmryBio_1972 1.88104e+06 0.0 +SmryBio_1973 1.87514e+06 0.0 +SmryBio_1974 2.03115e+06 0.0 +SmryBio_1975 2.05854e+06 0.0 +SmryBio_1976 2.05128e+06 0.0 +SmryBio_1977 2.01234e+06 0.0 +SmryBio_1978 1.96574e+06 0.0 +SmryBio_1979 1.93599e+06 0.0 +SmryBio_1980 1.93979e+06 0.0 +SmryBio_1981 1.88223e+06 0.0 +SmryBio_1982 1.78083e+06 0.0 +SmryBio_1983 1.75795e+06 0.0 +SmryBio_1984 1.67847e+06 0.0 +SmryBio_1985 1.63986e+06 0.0 +SmryBio_1986 1.57779e+06 0.0 +SmryBio_1987 1.48342e+06 0.0 +SmryBio_1988 1.42931e+06 0.0 +SmryBio_1989 1.42706e+06 0.0 +SmryBio_1990 1.41243e+06 0.0 +SmryBio_1991 1.37102e+06 0.0 +SmryBio_1992 1.33172e+06 0.0 +SmryBio_1993 1.30498e+06 0.0 +SmryBio_1994 1.30402e+06 0.0 +SmryBio_1995 1.26093e+06 0.0 +SmryBio_1996 1.20768e+06 0.0 +SmryBio_1997 1.14362e+06 0.0 +SmryBio_1998 1.10146e+06 0.0 +SmryBio_1999 1.09684e+06 0.0 +SmryBio_2000 1.02989e+06 0.0 +SmryBio_2001 964388 0.0 +SmryBio_2002 919930 0.0 +SmryBio_2003 968232 0.0 +SmryBio_2004 1.02561e+06 0.0 +SmryBio_2005 1.0249e+06 0.0 +SmryBio_2006 1.01327e+06 0.0 +SmryBio_2007 979313 0.0 +SmryBio_2008 949050 0.0 +SmryBio_2009 902920 0.0 +SmryBio_2010 850428 0.0 +SmryBio_2011 797998 0.0 +SmryBio_2012 859278 0.0 +SmryBio_2013 823245 0.0 +SmryBio_2014 815304 0.0 +SmryBio_2015 780751 0.0 +SmryBio_2016 743668 0.0 +SmryBio_2017 795001 0.0 +SmryBio_2018 764901 0.0 +SmryBio_2019 782612 0.0 +SmryBio_2020 801877 0.0 +SmryBio_2021 803728 0.0 +SmryBio_2022 803913 0.0 +SmryBio_2023 803049 0.0 +SmryBio_2024 801495 0.0 +SmryBio_2025 799599 0.0 +SmryBio_2026 797662 0.0 #_survey_stdev 0 #_Biomass -TotBio_Virgin 3.05391e+06 0.0 -TotBio_Initial 3.05391e+06 0.0 -TotBio_1970 3.05407e+06 0.0 -TotBio_1971 3.11121e+06 0.0 -TotBio_1972 3.20282e+06 0.0 -TotBio_1973 3.28511e+06 0.0 -TotBio_1974 3.33675e+06 0.0 -TotBio_1975 3.34798e+06 0.0 -TotBio_1976 3.33073e+06 0.0 -TotBio_1977 3.30958e+06 0.0 -TotBio_1978 3.29386e+06 0.0 -TotBio_1979 3.24036e+06 0.0 -TotBio_1980 3.1688e+06 0.0 -TotBio_1981 3.09953e+06 0.0 -TotBio_1982 3.0281e+06 0.0 -TotBio_1983 2.94383e+06 0.0 -TotBio_1984 2.84933e+06 0.0 -TotBio_1985 2.74924e+06 0.0 -TotBio_1986 2.66855e+06 0.0 -TotBio_1987 2.61269e+06 0.0 -TotBio_1988 2.56544e+06 0.0 -TotBio_1989 2.51868e+06 0.0 -TotBio_1990 2.47255e+06 0.0 -TotBio_1991 2.43884e+06 0.0 -TotBio_1992 2.40364e+06 0.0 -TotBio_1993 2.35622e+06 0.0 -TotBio_1994 2.29182e+06 0.0 -TotBio_1995 2.21937e+06 0.0 -TotBio_1996 2.1583e+06 0.0 -TotBio_1997 2.09333e+06 0.0 -TotBio_1998 2.01549e+06 0.0 -TotBio_1999 1.93443e+06 0.0 -TotBio_2000 1.88412e+06 0.0 -TotBio_2001 1.88492e+06 0.0 -TotBio_2002 1.91002e+06 0.0 -TotBio_2003 1.93464e+06 0.0 -TotBio_2004 1.93718e+06 0.0 -TotBio_2005 1.91775e+06 0.0 -TotBio_2006 1.87666e+06 0.0 -TotBio_2007 1.81672e+06 0.0 -TotBio_2008 1.74343e+06 0.0 -TotBio_2009 1.70055e+06 0.0 -TotBio_2010 1.67063e+06 0.0 -TotBio_2011 1.64698e+06 0.0 -TotBio_2012 1.61664e+06 0.0 -TotBio_2013 1.57487e+06 0.0 -TotBio_2014 1.5549e+06 0.0 -TotBio_2015 1.54294e+06 0.0 -TotBio_2016 1.54115e+06 0.0 -TotBio_2017 1.55248e+06 0.0 -TotBio_2018 1.55743e+06 0.0 -TotBio_2019 1.55889e+06 0.0 -TotBio_2020 1.55469e+06 0.0 -TotBio_2021 1.54592e+06 0.0 -TotBio_2022 1.53436e+06 0.0 -TotBio_2023 1.52135e+06 0.0 -TotBio_2024 1.5077e+06 0.0 -TotBio_2025 1.49402e+06 0.0 -TotBio_2026 1.4808e+06 0.0 +TotBio_Virgin 2.05093e+06 0.0 +TotBio_Initial 2.05093e+06 0.0 +TotBio_1970 2.05102e+06 0.0 +TotBio_1971 2.08169e+06 0.0 +TotBio_1972 2.1327e+06 0.0 +TotBio_1973 2.17737e+06 0.0 +TotBio_1974 2.20455e+06 0.0 +TotBio_1975 2.20425e+06 0.0 +TotBio_1976 2.18212e+06 0.0 +TotBio_1977 2.15232e+06 0.0 +TotBio_1978 2.13085e+06 0.0 +TotBio_1979 2.08414e+06 0.0 +TotBio_1980 2.0225e+06 0.0 +TotBio_1981 1.96937e+06 0.0 +TotBio_1982 1.91562e+06 0.0 +TotBio_1983 1.85039e+06 0.0 +TotBio_1984 1.78079e+06 0.0 +TotBio_1985 1.70849e+06 0.0 +TotBio_1986 1.64901e+06 0.0 +TotBio_1987 1.60581e+06 0.0 +TotBio_1988 1.56821e+06 0.0 +TotBio_1989 1.5318e+06 0.0 +TotBio_1990 1.49584e+06 0.0 +TotBio_1991 1.46812e+06 0.0 +TotBio_1992 1.43942e+06 0.0 +TotBio_1993 1.40334e+06 0.0 +TotBio_1994 1.35767e+06 0.0 +TotBio_1995 1.30778e+06 0.0 +TotBio_1996 1.26452e+06 0.0 +TotBio_1997 1.2188e+06 0.0 +TotBio_1998 1.16621e+06 0.0 +TotBio_1999 1.11392e+06 0.0 +TotBio_2000 1.07917e+06 0.0 +TotBio_2001 1.07516e+06 0.0 +TotBio_2002 1.08592e+06 0.0 +TotBio_2003 1.09795e+06 0.0 +TotBio_2004 1.0968e+06 0.0 +TotBio_2005 1.08292e+06 0.0 +TotBio_2006 1.05637e+06 0.0 +TotBio_2007 1.01893e+06 0.0 +TotBio_2008 974302 0.0 +TotBio_2009 948371 0.0 +TotBio_2010 929593 0.0 +TotBio_2011 914578 0.0 +TotBio_2012 895947 0.0 +TotBio_2013 871238 0.0 +TotBio_2014 860486 0.0 +TotBio_2015 854635 0.0 +TotBio_2016 854949 0.0 +TotBio_2017 863572 0.0 +TotBio_2018 871141 0.0 +TotBio_2019 877842 0.0 +TotBio_2020 882027 0.0 +TotBio_2021 883909 0.0 +TotBio_2022 884180 0.0 +TotBio_2023 883400 0.0 +TotBio_2024 881917 0.0 +TotBio_2025 880074 0.0 +TotBio_2026 878163 0.0 TotCatch_Virgin 0 0.0 TotCatch_Initial 0 0.0 -TotCatch_1970 6640.47 0.0 -TotCatch_1971 4956.51 0.0 -TotCatch_1972 8387.48 0.0 -TotCatch_1973 6863.67 0.0 -TotCatch_1974 11333.7 0.0 -TotCatch_1975 20190.8 0.0 -TotCatch_1976 37590.1 0.0 -TotCatch_1977 11411.3 0.0 -TotCatch_1978 15498.4 0.0 -TotCatch_1979 34905.3 0.0 -TotCatch_1980 11390.4 0.0 -TotCatch_1981 15360.4 0.0 -TotCatch_1982 38335.5 0.0 -TotCatch_1983 24475.3 0.0 -TotCatch_1984 28826.6 0.0 -TotCatch_1985 33056.5 0.0 -TotCatch_1986 28483.4 0.0 -TotCatch_1987 24075.8 0.0 -TotCatch_1988 20210.8 0.0 -TotCatch_1989 20798.4 0.0 -TotCatch_1990 19833.6 0.0 -TotCatch_1991 16950.1 0.0 -TotCatch_1992 16318 0.0 -TotCatch_1993 13419.6 0.0 -TotCatch_1994 13242.7 0.0 -TotCatch_1995 15590 0.0 -TotCatch_1996 12873.3 0.0 -TotCatch_1997 10534.8 0.0 -TotCatch_1998 6251.21 0.0 -TotCatch_1999 14301.2 0.0 -TotCatch_2000 13578 0.0 -TotCatch_2001 9939.65 0.0 -TotCatch_2002 5814.5 0.0 -TotCatch_2003 7429.84 0.0 -TotCatch_2004 8178.12 0.0 -TotCatch_2005 8140.11 0.0 -TotCatch_2006 8004.45 0.0 -TotCatch_2007 6840.34 0.0 -TotCatch_2008 12256.3 0.0 -TotCatch_2009 9900.96 0.0 -TotCatch_2010 10299.7 0.0 -TotCatch_2011 7102.98 0.0 -TotCatch_2012 5819.77 0.0 -TotCatch_2013 6248.17 0.0 -TotCatch_2014 4849.04 0.0 +TotCatch_1970 6300.95 0.0 +TotCatch_1971 4851.82 0.0 +TotCatch_1972 8283.83 0.0 +TotCatch_1973 6760.72 0.0 +TotCatch_1974 11110.4 0.0 +TotCatch_1975 19697.3 0.0 +TotCatch_1976 36431.9 0.0 +TotCatch_1977 11242.5 0.0 +TotCatch_1978 15433 0.0 +TotCatch_1979 34060.5 0.0 +TotCatch_1980 11306.6 0.0 +TotCatch_1981 15040.6 0.0 +TotCatch_1982 38221.6 0.0 +TotCatch_1983 24319 0.0 +TotCatch_1984 28499.6 0.0 +TotCatch_1985 32141.7 0.0 +TotCatch_1986 27761.4 0.0 +TotCatch_1987 23651.5 0.0 +TotCatch_1988 19730.9 0.0 +TotCatch_1989 20161.1 0.0 +TotCatch_1990 19055.6 0.0 +TotCatch_1991 16683.6 0.0 +TotCatch_1992 16044.4 0.0 +TotCatch_1993 13257.5 0.0 +TotCatch_1994 12898.3 0.0 +TotCatch_1995 14920.9 0.0 +TotCatch_1996 12866.8 0.0 +TotCatch_1997 10448.5 0.0 +TotCatch_1998 6100.68 0.0 +TotCatch_1999 13427.8 0.0 +TotCatch_2000 12928.6 0.0 +TotCatch_2001 9747.61 0.0 +TotCatch_2002 5732.23 0.0 +TotCatch_2003 7434.45 0.0 +TotCatch_2004 8187.77 0.0 +TotCatch_2005 8145.96 0.0 +TotCatch_2006 7996.16 0.0 +TotCatch_2007 6821.64 0.0 +TotCatch_2008 12208.5 0.0 +TotCatch_2009 9918.06 0.0 +TotCatch_2010 10245.8 0.0 +TotCatch_2011 7096.12 0.0 +TotCatch_2012 5820.66 0.0 +TotCatch_2013 6168.86 0.0 +TotCatch_2014 4865.25 0.0 TotCatch_2015 6512 0.0 TotCatch_2016 7121 0.0 -TotCatch_2017 21448.7 0.0 -TotCatch_2018 22238.3 0.0 -TotCatch_2019 22908.5 0.0 -TotCatch_2020 23108.3 0.0 -TotCatch_2021 22972.7 0.0 -TotCatch_2022 22782.7 0.0 -TotCatch_2023 22751.9 0.0 -TotCatch_2024 22690.4 0.0 -TotCatch_2025 22500.8 0.0 -TotCatch_2026 22157 0.0 +TotCatch_2017 13830.6 0.0 +TotCatch_2018 14389.9 0.0 +TotCatch_2019 14949.5 0.0 +TotCatch_2020 15265.4 0.0 +TotCatch_2021 15379.9 0.0 +TotCatch_2022 15466.1 0.0 +TotCatch_2023 15626.5 0.0 +TotCatch_2024 15738 0.0 +TotCatch_2025 15725.5 0.0 +TotCatch_2026 15588.1 0.0 diff --git a/models/Sablefish2015/warning.sso b/models/Sablefish2015/warning.sso index 82a3c61..fc81e2f 100644 --- a/models/Sablefish2015/warning.sso +++ b/models/Sablefish2015/warning.sso @@ -1,84 +1,80 @@ -Warning 1 : fishing fleet: 1 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month -Warning 2 : fishing fleet: 2 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month -Warning 3 : fishing fleet: 3 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month -Note 1 Suggestion: This model has just one settlement event. Changing to recr_dist_method 4 and removing the recruitment distribution parameters at the end of the MG parms section (below growth parameters) will produce identical results and simplify the model. -Note 2 Information: Max harvest rate typically is >1.0 for F_method 2, 3 or 4 0.9 -Warning 4 : Setting in starter does not request all priors, and 9 parameters have priors and are not estimated, so their prior not included in obj_fun. -Warning 5 Adjustment: Adjusted selparm out of base parm bounds. Phase: 1; Inter: 1; fleet: 2; base_parm#: 9; y: 1970; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 6 Adjustment: Adjusted selparm out of base parm bounds. Phase: 1; Inter: 1; fleet: 3; base_parm#: 17; y: 1970; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 7 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 2; base_parm#: 9; y: 1970; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 8 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 3; base_parm#: 17; y: 1970; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 9 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 2; base_parm#: 9; y: 1971; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 10 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 3; base_parm#: 17; y: 1971; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 11 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 2; base_parm#: 9; y: 1972; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 12 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 3; base_parm#: 17; y: 1972; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 13 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 2; base_parm#: 9; y: 1973; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 14 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 3; base_parm#: 17; y: 1973; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 15 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 2; base_parm#: 9; y: 1974; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 16 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 3; base_parm#: 17; y: 1974; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 17 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 2; base_parm#: 9; y: 1975; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 18 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 3; base_parm#: 17; y: 1975; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 19 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 2; base_parm#: 9; y: 1976; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 20 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 3; base_parm#: 17; y: 1976; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 21 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 2; base_parm#: 9; y: 1977; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 22 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 3; base_parm#: 17; y: 1977; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 23 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 2; base_parm#: 9; y: 1978; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 24 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 3; base_parm#: 17; y: 1978; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 25 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 2; base_parm#: 9; y: 1979; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 26 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 3; base_parm#: 17; y: 1979; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 27 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 2; base_parm#: 9; y: 1980; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 28 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 3; base_parm#: 17; y: 1980; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 29 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 2; base_parm#: 9; y: 1981; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 30 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 538; fleet: 3; base_parm#: 17; y: 1981; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 31 : Final gradient: 0.00075884 is larger than final_conv: 1e-05 -Warning 32 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1970; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 33 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1970; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 34 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1971; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 35 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1971; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 36 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1972; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 37 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1972; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 38 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1973; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 39 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1973; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 40 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1974; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 41 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1974; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 42 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1975; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 43 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1975; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 44 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1976; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 45 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1976; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 46 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1977; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 47 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1977; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 48 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1978; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 49 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1978; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 50 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1979; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 51 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1979; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 52 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1980; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 53 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1980; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 54 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1981; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 55 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1981; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Note 3 Information: A revised protocol for the Fcast_yr specification is available and recommended. -Warning 56 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1970; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 57 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1970; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 58 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1971; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 59 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1971; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 60 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1972; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 61 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1972; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 62 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1973; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 63 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1973; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 64 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1974; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 65 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1974; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 66 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1975; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 67 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1975; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 68 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1976; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 69 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1976; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 70 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1977; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 71 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1977; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 72 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1978; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 73 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1978; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 74 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1979; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 75 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1979; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 76 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1980; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 77 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1980; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Warning 78 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 2; base_parm#: 9; y: 1981; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) -Warning 79 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 1020; fleet: 3; base_parm#: 17; y: 1981; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) -Note 4 Information: N parameters that are on or within 1% of min-max bound: 6; check results, variance may be suspect - 79 warnings and 4 notes +Note 1 Information: Max harvest rate typically is >1.0 for F_method 2, 3 or 4 0.9 +Warning 1 : Setting in starter does not request all priors, and 9 parameters have priors and are not estimated, so their prior not included in obj_fun. +Warning 2 Adjustment: Adjusted selparm out of base parm bounds. Phase: 1; Inter: 1; fleet: 2; base_parm#: 9; y: 1970; min: 35; max: 60; base: 46.5601 timevary_val: 25 Retain_L_infl_POT(2) +Warning 3 Adjustment: Adjusted selparm out of base parm bounds. Phase: 1; Inter: 1; fleet: 3; base_parm#: 17; y: 1970; min: 35; max: 55; base: 45.0201 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 4 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 505; fleet: 2; base_parm#: 9; y: 1970; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 5 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 505; fleet: 3; base_parm#: 17; y: 1970; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 6 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 505; fleet: 2; base_parm#: 9; y: 1971; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 7 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 505; fleet: 3; base_parm#: 17; y: 1971; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 8 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 505; fleet: 2; base_parm#: 9; y: 1972; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 9 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 505; fleet: 3; base_parm#: 17; y: 1972; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 10 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 505; fleet: 2; base_parm#: 9; y: 1973; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 11 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 505; fleet: 3; base_parm#: 17; y: 1973; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 12 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 505; fleet: 2; base_parm#: 9; y: 1974; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 13 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 505; fleet: 3; base_parm#: 17; y: 1974; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 14 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 505; fleet: 2; base_parm#: 9; y: 1975; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 15 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 505; fleet: 3; base_parm#: 17; y: 1975; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 16 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 505; fleet: 2; base_parm#: 9; y: 1976; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 17 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 505; fleet: 3; base_parm#: 17; y: 1976; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 18 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 505; fleet: 2; base_parm#: 9; y: 1977; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 19 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 505; fleet: 3; base_parm#: 17; y: 1977; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 20 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 505; fleet: 2; base_parm#: 9; y: 1978; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 21 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 505; fleet: 3; base_parm#: 17; y: 1978; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 22 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 505; fleet: 2; base_parm#: 9; y: 1979; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 23 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 505; fleet: 3; base_parm#: 17; y: 1979; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 24 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 505; fleet: 2; base_parm#: 9; y: 1980; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 25 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 505; fleet: 3; base_parm#: 17; y: 1980; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 26 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 505; fleet: 2; base_parm#: 9; y: 1981; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 27 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 505; fleet: 3; base_parm#: 17; y: 1981; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 28 : Final gradient: 0.00360896 is larger than final_conv: 1e-05 +Warning 29 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 2; base_parm#: 9; y: 1970; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 30 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 3; base_parm#: 17; y: 1970; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 31 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 2; base_parm#: 9; y: 1971; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 32 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 3; base_parm#: 17; y: 1971; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 33 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 2; base_parm#: 9; y: 1972; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 34 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 3; base_parm#: 17; y: 1972; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 35 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 2; base_parm#: 9; y: 1973; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 36 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 3; base_parm#: 17; y: 1973; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 37 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 2; base_parm#: 9; y: 1974; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 38 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 3; base_parm#: 17; y: 1974; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 39 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 2; base_parm#: 9; y: 1975; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 40 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 3; base_parm#: 17; y: 1975; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 41 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 2; base_parm#: 9; y: 1976; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 42 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 3; base_parm#: 17; y: 1976; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 43 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 2; base_parm#: 9; y: 1977; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 44 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 3; base_parm#: 17; y: 1977; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 45 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 2; base_parm#: 9; y: 1978; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 46 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 3; base_parm#: 17; y: 1978; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 47 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 2; base_parm#: 9; y: 1979; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 48 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 3; base_parm#: 17; y: 1979; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 49 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 2; base_parm#: 9; y: 1980; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 50 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 3; base_parm#: 17; y: 1980; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 51 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 2; base_parm#: 9; y: 1981; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 52 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 3; base_parm#: 17; y: 1981; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Note 2 Information: A revised protocol for the Fcast_yr specification is available and recommended. +Warning 53 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 2; base_parm#: 9; y: 1970; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 54 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 3; base_parm#: 17; y: 1970; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 55 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 2; base_parm#: 9; y: 1971; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 56 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 3; base_parm#: 17; y: 1971; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 57 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 2; base_parm#: 9; y: 1972; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 58 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 3; base_parm#: 17; y: 1972; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 59 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 2; base_parm#: 9; y: 1973; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 60 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 3; base_parm#: 17; y: 1973; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 61 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 2; base_parm#: 9; y: 1974; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 62 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 3; base_parm#: 17; y: 1974; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 63 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 2; base_parm#: 9; y: 1975; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 64 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 3; base_parm#: 17; y: 1975; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 65 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 2; base_parm#: 9; y: 1976; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 66 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 3; base_parm#: 17; y: 1976; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 67 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 2; base_parm#: 9; y: 1977; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 68 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 3; base_parm#: 17; y: 1977; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 69 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 2; base_parm#: 9; y: 1978; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 70 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 3; base_parm#: 17; y: 1978; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 71 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 2; base_parm#: 9; y: 1979; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 72 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 3; base_parm#: 17; y: 1979; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 73 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 2; base_parm#: 9; y: 1980; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 74 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 3; base_parm#: 17; y: 1980; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Warning 75 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 2; base_parm#: 9; y: 1981; min: 35; max: 60; base: 46.5662 timevary_val: 25 Retain_L_infl_POT(2) +Warning 76 Adjustment: Adjusted selparm out of base parm bounds. Phase: 7; Inter: 987; fleet: 3; base_parm#: 17; y: 1981; min: 35; max: 55; base: 45.091 timevary_val: 25 Retain_L_infl_TWL(3) +Note 3 Information: N parameters that are on or within 1% of min-max bound: 5; check results, variance may be suspect + 76 warnings and 3 notes diff --git a/models/Simple/control.ss b/models/Simple/control.ss index 7f4ad79..faea321 100644 --- a/models/Simple/control.ss +++ b/models/Simple/control.ss @@ -15,7 +15,7 @@ #_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # -2 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) +4 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) 1 # not yet implemented; Future usage: Spawner-Recruitment: 1=global; 2=by area 1 # number of recruitment settlement assignments 0 # unused option @@ -99,9 +99,6 @@ -3 4 3.34694 3.34694 0.8 0 -3 0 0 0 0 0 0 0 # Wtlen_2_Mal_GP_1 # Hermaphroditism # Recruitment Distribution - 0 0 0 0 0 0 -4 0 0 0 0 0 0 0 # RecrDist_GP_1 - 0 0 0 0 0 0 -4 0 0 0 0 0 0 0 # RecrDist_Area_1 - 0 0 0 0 0 0 -4 0 0 0 0 0 0 0 # RecrDist_month_1 # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement diff --git a/models/Simple/ss.par b/models/Simple/ss.par index 61d7ccb..485846a 100644 --- a/models/Simple/ss.par +++ b/models/Simple/ss.par @@ -1,4 +1,4 @@ -# Number of parameters = 54 Objective function value = 1306.52040672851 Maximum gradient component = 3.22500035269210e-08 +# Number of parameters = 54 Objective function value = 1306.52040672851 Maximum gradient component = 1.82256055495081e-07 # dummy_parm: 1.00000000000 # MGparm[1]: @@ -42,19 +42,13 @@ # MGparm[20]: 3.34694000000 # MGparm[21]: -0.00000000000 -# MGparm[22]: -0.00000000000 -# MGparm[23]: -0.00000000000 -# MGparm[24]: 1.00000000000 -# MGparm[25]: +# MGparm[22]: 0.500000000000 # SR_parm[1]: 8.81505304675 # SR_parm[2]: -0.614248228201 +0.614248228202 # SR_parm[3]: 0.600000000000 # SR_parm[4]: @@ -62,15 +56,15 @@ # SR_parm[5]: 0.00000000000 # recdev1: - 0.126800126018 -0.0629441839347 0.0998013884891 -0.174095196922 0.0306484087242 0.714818174521 -0.0228752173567 0.00379774667817 0.261267315985 0.173625938948 0.0900049269913 -0.226621818535 -0.439887669865 -0.312088210646 0.393111705677 0.551725230163 0.218910391124 0.154931714200 -0.384786254322 0.596743759994 -0.682432180171 -0.273423790626 -0.829665402352 0.365023826765 -0.605266812611 0.455102854544 1.11071649840 -0.546498962281 -0.656469352957 0.171605865888 -0.301580820526 + 0.126800125980 -0.0629441839137 0.0998013884877 -0.174095196898 0.0306484087034 0.714818174527 -0.0228752173646 0.00379774669634 0.261267315944 0.173625938989 0.0900049269823 -0.226621818579 -0.439887669804 -0.312088210715 0.393111705731 0.551725230089 0.218910391221 0.154931714121 -0.384786254292 0.596743759984 -0.682432180131 -0.273423790733 -0.829665402201 0.365023826748 -0.605266812816 0.455102854645 1.11071649831 -0.546498962235 -0.656469352599 0.171605865613 -0.301580820494 # Fcast_recruitments: 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 # Q_parm[1]: -0.516017573054 +0.516017573063 # Q_parm[2]: 0.00000000000 # Q_parm[3]: --6.62809845951 +-6.62809845948 # selparm[1]: 53.6410563999 # selparm[2]: @@ -78,7 +72,7 @@ # selparm[3]: 36.6530397038 # selparm[4]: -6.59178510181 +6.59178510190 # selparm[5]: 0.00000000000 # selparm[6]: diff --git a/models/Simple/ss_summary.sso b/models/Simple/ss_summary.sso index 544edf4..dc0c3de 100644 --- a/models/Simple/ss_summary.sso +++ b/models/Simple/ss_summary.sso @@ -1,8 +1,8 @@ #V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 data.ss #_DataFile control.ss #_Control -Run_Date: Tue Oct 31 17:00:33 2023 -Final_phase: 5 N_iterations: 419 +Run_Date: Wed Nov 1 11:00:39 2023 +Final_phase: 5 N_iterations: 418 #_LIKELIHOOD Label logL*Lambda TOTAL_LogL 1306.52 @@ -13,7 +13,7 @@ Age_comp 586.61 Size_at_age 79.225 Recruitment -7.39702 InitEQ_regime 1.54502e-30 -Sum_recdevs 7.77156e-16 +Sum_recdevs -4.44089e-16 Forecast_Recruitment 0 Parm_priors 1.05602 Parm_softbounds 0.0012046 @@ -43,9 +43,6 @@ CV_young_Mal_GP_1 0.1 0 Fix 0.249999 CV_old_Mal_GP_1 0.1 0 Fix 0.249999 Wtlen_1_Mal_GP_1 2.44e-06 0 Fix 0.5 Wtlen_2_Mal_GP_1 3.34694 0 Fix 0.906706 -RecrDist_GP_1 0 0 Fix 0 -RecrDist_Area_1 0 0 Fix 0 -RecrDist_month_1 0 0 Fix 0 CohortGrowDev 1 0 Fix 0.0909091 FracFemale_GP_1 0.5 0 Fix 0.499999 #_SPAWN_RECR diff --git a/models/Simple/warning.sso b/models/Simple/warning.sso index 4c8a20c..b7a1650 100644 --- a/models/Simple/warning.sso +++ b/models/Simple/warning.sso @@ -1,4 +1,3 @@ Note 1 Information: Max data length bin: 90 < max pop len bins: 94; so will accumulate larger pop len bins -Note 2 Suggestion: This model has just one settlement event. Changing to recr_dist_method 4 and removing the recruitment distribution parameters at the end of the MG parms section (below growth parameters) will produce identical results and simplify the model. -Note 3 Information: A revised protocol for the Fcast_yr specification is available and recommended. - 3 notes +Note 2 Information: A revised protocol for the Fcast_yr specification is available and recommended. + 2 notes diff --git a/models/Simple_NoCPUE/simple.ctl b/models/Simple_NoCPUE/simple.ctl index d147d10..2affee0 100644 --- a/models/Simple_NoCPUE/simple.ctl +++ b/models/Simple_NoCPUE/simple.ctl @@ -15,7 +15,7 @@ #_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # -2 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) +4 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) 1 # not yet implemented; Future usage: Spawner-Recruitment: 1=global; 2=by area 1 # number of recruitment settlement assignments 0 # unused option @@ -99,9 +99,6 @@ -3 4 3.34694 3.34694 0.8 0 -3 0 0 0 0 0 0 0 # Wtlen_2_Mal_GP_1 # Hermaphroditism # Recruitment Distribution - 0 0 0 0 0 0 -4 0 0 0 0 0 0 0 # RecrDist_GP_1 - 0 0 0 0 0 0 -4 0 0 0 0 0 0 0 # RecrDist_Area_1 - 0 0 0 0 0 0 -4 0 0 0 0 0 0 0 # RecrDist_month_1 # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement diff --git a/models/Simple_NoCPUE/simple.dat b/models/Simple_NoCPUE/simple.dat index 0469fef..54408b9 100644 --- a/models/Simple_NoCPUE/simple.dat +++ b/models/Simple_NoCPUE/simple.dat @@ -26,7 +26,7 @@ #_catch_mult: 0=no; 1=yes #_rows are fleets #_fleet_type fishery_timing area catch_units need_catch_mult fleetname - 1 1 1 1 0 FISHERY1 # 1 + 1 -1 1 1 0 FISHERY1 # 1 3 1 1 2 0 SURVEY1 # 2 3 1 1 2 0 SURVEY2 # 3 #Bycatch_fleet_input_goes_next diff --git a/models/Simple_NoCPUE/ss.par b/models/Simple_NoCPUE/ss.par index 756acc1..01af717 100644 --- a/models/Simple_NoCPUE/ss.par +++ b/models/Simple_NoCPUE/ss.par @@ -1,14 +1,14 @@ -# Number of parameters = 52 Objective function value = 1308.69141393159 Maximum gradient component = 1.26299600403124e-06 +# Number of parameters = 52 Objective function value = 1308.68921542683 Maximum gradient component = 1.40944464571774e-07 # dummy_parm: 1.00000000000 # MGparm[1]: 0.100000000000 # MGparm[2]: -21.7499519508 +21.7480162403 # MGparm[3]: -71.6688400806 +71.6690153468 # MGparm[4]: -0.146747027600 +0.146761755973 # MGparm[5]: 0.100000000000 # MGparm[6]: @@ -30,9 +30,9 @@ # MGparm[14]: 0.00000000000 # MGparm[15]: -69.5615146835 +69.5616759000 # MGparm[16]: -0.162771075247 +0.162786861834 # MGparm[17]: 0.100000000000 # MGparm[18]: @@ -42,19 +42,13 @@ # MGparm[20]: 3.34694000000 # MGparm[21]: -0.00000000000 -# MGparm[22]: -0.00000000000 -# MGparm[23]: -0.00000000000 -# MGparm[24]: 1.00000000000 -# MGparm[25]: +# MGparm[22]: 0.500000000000 # SR_parm[1]: -8.81362064226 +8.81325395898 # SR_parm[2]: -0.698890842898 +0.699976878580 # SR_parm[3]: 0.600000000000 # SR_parm[4]: @@ -62,17 +56,17 @@ # SR_parm[5]: 0.00000000000 # recdev1: - 0.145362237288 -0.0677279661474 0.107635885370 -0.169471121966 0.0428909767388 0.723887106669 -0.0183465450296 0.0169249997913 0.263638618814 0.176105231462 0.0933542992590 -0.233306259711 -0.452680819182 -0.317046867386 0.364988074409 0.527645380518 0.185855341015 0.111892739782 -0.429997157417 0.502207256025 -0.498931997769 -0.664388084540 -0.476561419741 0.152037575418 -0.537479026232 0.499074423172 0.936638638677 -0.382409473328 -0.414289419457 -0.137242714625 -0.0502599118774 + 0.144449280008 -0.0677381520591 0.107488965349 -0.169622492336 0.0429103037069 0.724022189579 -0.0182949952926 0.0173154641673 0.264080777380 0.176459905000 0.0942089772334 -0.232554247209 -0.451941421504 -0.316224309308 0.366136386142 0.528188551784 0.186453181445 0.111980254841 -0.430193597258 0.502036832635 -0.499320169144 -0.664856551395 -0.477149077258 0.151741266799 -0.538451868697 0.498722737295 0.936022511539 -0.382944973444 -0.414556265235 -0.137680053466 -0.0506894112980 # Fcast_recruitments: 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 # selparm[1]: -53.6476808708 +53.6367036510 # selparm[2]: -18.7661157452 +18.7673607636 # selparm[3]: -36.8041806715 +36.8078443811 # selparm[4]: -6.77158093689 +6.77424208896 # selparm[5]: 0.00000000000 # selparm[6]: diff --git a/models/Simple_NoCPUE/ss_summary.sso b/models/Simple_NoCPUE/ss_summary.sso index a1ae327..c37be01 100644 --- a/models/Simple_NoCPUE/ss_summary.sso +++ b/models/Simple_NoCPUE/ss_summary.sso @@ -1,21 +1,21 @@ #V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 simple.dat #_DataFile simple.ctl #_Control -Run_Date: Tue Oct 31 17:02:58 2023 -Final_phase: 5 N_iterations: 395 +Run_Date: Wed Nov 1 11:09:49 2023 +Final_phase: 5 N_iterations: 408 #_LIKELIHOOD Label logL*Lambda TOTAL_LogL 1308.69 -Catch 2.45742e-11 -Length_comp 651.433 -Age_comp 586.251 -Size_at_age 79.3351 -Recruitment -9.37385 +Catch 2.46903e-11 +Length_comp 651.429 +Age_comp 586.245 +Size_at_age 79.339 +Recruitment -9.3705 InitEQ_regime 0 -Sum_recdevs -1.11022e-16 +Sum_recdevs -2.77556e-16 Forecast_Recruitment 0 -Parm_priors 1.04528 -Parm_softbounds 0.00118162 +Parm_priors 1.04563 +Parm_softbounds 0.00118104 Parm_devs 0 F_Ballpark 0 Crash_Pen 0 @@ -23,9 +23,9 @@ Crash_Pen 0 #label value se active? range #_BIOLOGY NatM_uniform_Fem_GP_1 0.1 0 Fix 0.499995 -L_at_Amin_Fem_GP_1 21.75 0.493897 Act 0.577272 -L_at_Amax_Fem_GP_1 71.6688 0.310564 Act 0.633377 -VonBert_K_Fem_GP_1 0.146747 0.00371089 Act 0.483733 +L_at_Amin_Fem_GP_1 21.748 0.493865 Act 0.577237 +L_at_Amax_Fem_GP_1 71.669 0.310531 Act 0.63338 +VonBert_K_Fem_GP_1 0.146762 0.00371105 Act 0.483806 CV_young_Fem_GP_1 0.1 0 Fix 0.249999 CV_old_Fem_GP_1 0.1 0 Fix 0.249999 Wtlen_1_Fem_GP_1 2.44e-06 0 Fix 0.5 @@ -36,54 +36,51 @@ Eggs/kg_inter_Fem_GP_1 1 0 Fix 0.666667 Eggs/kg_slope_wt_Fem_GP_1 0 0 Fix 0.5 NatM_uniform_Mal_GP_1 0.1 0 Fix 0.499995 L_at_Amin_Mal_GP_1 0 0 Fix 0 -L_at_Amax_Mal_GP_1 69.5615 0.292925 Act 0.59123 -VonBert_K_Mal_GP_1 0.162771 0.00412112 Act 0.563853 +L_at_Amax_Mal_GP_1 69.5617 0.292897 Act 0.591234 +VonBert_K_Mal_GP_1 0.162787 0.00412129 Act 0.563931 CV_young_Mal_GP_1 0.1 0 Fix 0.249999 CV_old_Mal_GP_1 0.1 0 Fix 0.249999 Wtlen_1_Mal_GP_1 2.44e-06 0 Fix 0.5 Wtlen_2_Mal_GP_1 3.34694 0 Fix 0.906706 -RecrDist_GP_1 0 0 Fix 0 -RecrDist_Area_1 0 0 Fix 0 -RecrDist_month_1 0 0 Fix 0 CohortGrowDev 1 0 Fix 0.0909091 FracFemale_GP_1 0.5 0 Fix 0.499999 #_SPAWN_RECR -SR_LN(R0) 8.81362 0.0278547 Act 0.207629 -SR_BH_steep 0.698891 0.156572 Act 0.623613 +SR_LN(R0) 8.81325 0.0278741 Act 0.207616 +SR_BH_steep 0.699977 0.157395 Act 0.62497 SR_sigmaR 0.6 0 Fix 0.3 SR_regime 0 0 Fix 0.5 SR_autocorr 0 0 Fix 0 -Main_RecrDev_1971 0.145362 0.250405 Act 0.514536 -Main_RecrDev_1972 -0.067728 0.409903 Act 0.493227 -Main_RecrDev_1973 0.107636 0.351071 Act 0.510764 -Main_RecrDev_1974 -0.169471 0.418173 Act 0.483053 -Main_RecrDev_1975 0.042891 0.388505 Act 0.504289 -Main_RecrDev_1976 0.723887 0.237118 Act 0.572389 -Main_RecrDev_1977 -0.0183465 0.421722 Act 0.498165 -Main_RecrDev_1978 0.016925 0.385313 Act 0.501692 -Main_RecrDev_1979 0.263639 0.329857 Act 0.526364 -Main_RecrDev_1980 0.176105 0.350625 Act 0.51761 -Main_RecrDev_1981 0.0933543 0.328508 Act 0.509335 -Main_RecrDev_1982 -0.233306 0.347885 Act 0.476669 -Main_RecrDev_1983 -0.452681 0.361657 Act 0.454732 -Main_RecrDev_1984 -0.317047 0.359896 Act 0.468295 -Main_RecrDev_1985 0.364988 0.256317 Act 0.536499 -Main_RecrDev_1986 0.527645 0.251253 Act 0.552764 -Main_RecrDev_1987 0.185855 0.323745 Act 0.518585 -Main_RecrDev_1988 0.111893 0.295283 Act 0.511189 -Main_RecrDev_1989 -0.429997 0.388578 Act 0.457 -Main_RecrDev_1990 0.502207 0.199658 Act 0.550221 -Main_RecrDev_1991 -0.498932 0.357708 Act 0.450107 -Main_RecrDev_1992 -0.664388 0.358911 Act 0.433561 -Main_RecrDev_1993 -0.476561 0.325291 Act 0.452344 -Main_RecrDev_1994 0.152038 0.206014 Act 0.515204 -Main_RecrDev_1995 -0.537479 0.341898 Act 0.446252 -Main_RecrDev_1996 0.499074 0.230807 Act 0.549907 -Main_RecrDev_1997 0.936639 0.211743 Act 0.593664 -Main_RecrDev_1998 -0.382409 0.421918 Act 0.461759 -Main_RecrDev_1999 -0.414289 0.409953 Act 0.458571 -Main_RecrDev_2000 -0.137243 0.426064 Act 0.486276 -Main_RecrDev_2001 -0.0502599 0.568869 Act 0.494974 +Main_RecrDev_1971 0.144449 0.25051 Act 0.514445 +Main_RecrDev_1972 -0.0677382 0.409851 Act 0.493226 +Main_RecrDev_1973 0.107489 0.351096 Act 0.510749 +Main_RecrDev_1974 -0.169622 0.41821 Act 0.483038 +Main_RecrDev_1975 0.0429103 0.388529 Act 0.504291 +Main_RecrDev_1976 0.724022 0.237132 Act 0.572402 +Main_RecrDev_1977 -0.018295 0.421818 Act 0.49817 +Main_RecrDev_1978 0.0173155 0.385368 Act 0.501731 +Main_RecrDev_1979 0.264081 0.329928 Act 0.526408 +Main_RecrDev_1980 0.17646 0.350765 Act 0.517646 +Main_RecrDev_1981 0.094209 0.328551 Act 0.509421 +Main_RecrDev_1982 -0.232554 0.347994 Act 0.476745 +Main_RecrDev_1983 -0.451941 0.361776 Act 0.454806 +Main_RecrDev_1984 -0.316224 0.360017 Act 0.468378 +Main_RecrDev_1985 0.366136 0.256326 Act 0.536614 +Main_RecrDev_1986 0.528189 0.251349 Act 0.552819 +Main_RecrDev_1987 0.186453 0.323781 Act 0.518645 +Main_RecrDev_1988 0.11198 0.295359 Act 0.511198 +Main_RecrDev_1989 -0.430194 0.388632 Act 0.456981 +Main_RecrDev_1990 0.502037 0.199741 Act 0.550204 +Main_RecrDev_1991 -0.49932 0.357736 Act 0.450068 +Main_RecrDev_1992 -0.664857 0.358928 Act 0.433514 +Main_RecrDev_1993 -0.477149 0.325321 Act 0.452285 +Main_RecrDev_1994 0.151741 0.205978 Act 0.515174 +Main_RecrDev_1995 -0.538452 0.341939 Act 0.446155 +Main_RecrDev_1996 0.498723 0.230765 Act 0.549872 +Main_RecrDev_1997 0.936023 0.211763 Act 0.593602 +Main_RecrDev_1998 -0.382945 0.421907 Act 0.461705 +Main_RecrDev_1999 -0.414556 0.409935 Act 0.458544 +Main_RecrDev_2000 -0.13768 0.426081 Act 0.486232 +Main_RecrDev_2001 -0.0506894 0.568836 Act 0.494931 ForeRecr_2002 0 0.6 Act 0.5 ForeRecr_2003 0 0.6 Act 0.5 ForeRecr_2004 0 0.6 Act 0.5 @@ -95,10 +92,10 @@ ForeRecr_2009 0 0.6 Act 0.5 ForeRecr_2010 0 0.6 Act 0.5 ForeRecr_2011 0 0.6 Act 0.5 #_Selectivity -Size_inflection_FISHERY1(1) 53.6477 0.727913 Act 0.567995 -Size_95%width_FISHERY1(1) 18.7661 0.807269 Act 0.312654 -Size_inflection_SURVEY1(2) 36.8042 0.523705 Act 0.349102 -Size_95%width_SURVEY1(2) 6.77158 0.741716 Act 0.112712 +Size_inflection_FISHERY1(1) 53.6367 0.727464 Act 0.567815 +Size_95%width_FISHERY1(1) 18.7674 0.808194 Act 0.312675 +Size_inflection_SURVEY1(2) 36.8078 0.523786 Act 0.349173 +Size_95%width_SURVEY1(2) 6.77424 0.741922 Act 0.112756 minage@sel=1_FISHERY1(1) 0 0 Fix 0 maxage@sel=1_FISHERY1(1) 40 0 Fix 1 minage@sel=1_SURVEY1(2) 0 0 Fix 0 @@ -107,375 +104,375 @@ minage@sel=1_SURVEY2(3) 0 0 Fix 0 maxage@sel=1_SURVEY2(3) 0 0 Fix 0 #_Derived_Quantities #_Spawn_Bio -SSB_Virgin 49838.8 1407.83 -SSB_Initial 49838.8 1407.83 -SSB_1971 49838.8 1407.83 -SSB_1972 49838.8 1407.74 -SSB_1973 49753.3 1406.72 -SSB_1974 49327.5 1401.22 -SSB_1975 48900.6 1385.89 -SSB_1976 48025.9 1353.63 -SSB_1977 46693.5 1304.82 -SSB_1978 44913.1 1244.34 -SSB_1979 42740.5 1177.07 -SSB_1980 40292.8 1105.71 -SSB_1981 37250.7 1030.11 -SSB_1982 33633.6 953.832 -SSB_1983 30233.6 884.772 -SSB_1984 27010.7 825.014 -SSB_1985 23928.7 776.695 -SSB_1986 20922.3 741.726 -SSB_1987 17918.8 721.02 -SSB_1988 14910.9 715.511 -SSB_1989 12390.3 731.016 -SSB_1990 10493.2 775.948 -SSB_1991 9244.35 858.146 -SSB_1992 8518.95 978.06 -SSB_1993 8497.38 1130.77 -SSB_1994 8436.39 1309.23 -SSB_1995 8283.65 1508.37 -SSB_1996 7980.83 1717.76 -SSB_1997 7500.12 1928.84 -SSB_1998 7249.84 2147.48 -SSB_1999 6976.97 2391.15 -SSB_2000 6792.04 2690.76 -SSB_2001 6799.24 3086.2 -SSB_2002 6990.25 3588.09 -SSB_2003 8060.57 3864.59 -SSB_2004 9025.59 4103.74 -SSB_2005 9829.1 4287.56 -SSB_2006 10493.3 4434.32 -SSB_2007 11074.6 4573.65 -SSB_2008 11624.2 4724.7 -SSB_2009 12170.8 4889.39 -SSB_2010 12723.3 5058.61 -SSB_2011 13278.3 5220.97 +SSB_Virgin 49823.1 1408.35 +SSB_Initial 49823.1 1408.35 +SSB_1971 49823.1 1408.35 +SSB_1972 49823 1408.26 +SSB_1973 49737.5 1407.25 +SSB_1974 49311.6 1401.76 +SSB_1975 48884.6 1386.45 +SSB_1976 48009.6 1354.25 +SSB_1977 46676.7 1305.51 +SSB_1978 44895.8 1245.13 +SSB_1979 42722.8 1177.97 +SSB_1980 40274.7 1106.74 +SSB_1981 37232.5 1031.3 +SSB_1982 33615.4 955.234 +SSB_1983 30215.7 886.427 +SSB_1984 26993.3 826.975 +SSB_1985 23912.1 779.017 +SSB_1986 20906.7 744.457 +SSB_1987 17904.5 724.187 +SSB_1988 14898.1 719.12 +SSB_1989 12379.3 735.088 +SSB_1990 10484.2 780.566 +SSB_1991 9237.61 863.456 +SSB_1992 8514.19 984.235 +SSB_1993 8494.12 1137.97 +SSB_1994 8434.45 1317.57 +SSB_1995 8282.87 1517.94 +SSB_1996 7981.05 1728.57 +SSB_1997 7501.22 1940.86 +SSB_1998 7251.75 2160.71 +SSB_1999 6979.79 2405.65 +SSB_2000 6795.97 2706.75 +SSB_2001 6804.58 3104.11 +SSB_2002 6997.26 3608.43 +SSB_2003 8068.55 3886.15 +SSB_2004 9034.47 4126.27 +SSB_2005 9838.82 4310.71 +SSB_2006 10503.9 4457.84 +SSB_2007 11086.2 4597.38 +SSB_2008 11637 4748.54 +SSB_2009 12184.9 4913.19 +SSB_2010 12738.7 5082.19 +SSB_2011 13294.8 5244.1 #_Recruitment -Recr_Virgin 6725.22 187.329 -Recr_Initial 6725.22 187.329 -Recr_1971 6496.27 1584.44 -Recr_1972 5249.52 2143.68 -Recr_1973 6254.59 2185.28 -Recr_1974 4736.41 1975.88 -Recr_1975 5851.46 2268.12 -Recr_1976 11538.6 2693.97 -Recr_1977 5475.53 2306.92 -Recr_1978 5646.56 2170.91 -Recr_1979 7183.41 2361.15 -Recr_1980 6532.39 2285.26 -Recr_1981 5950.46 1958.76 -Recr_1982 4229 1473.29 -Recr_1983 3339 1212.82 -Recr_1984 3749.78 1367.79 -Recr_1985 7246.65 1916.73 -Recr_1986 8287.41 2131.07 -Recr_1987 5675.72 1957.6 -Recr_1988 5016.72 1546.36 -Recr_1989 2756.74 1175.42 -Recr_1990 6611.71 1564.51 -Recr_1991 2315.55 979.401 -Recr_1992 1898.71 808.671 -Recr_1993 2288.62 927.184 -Recr_1994 4278.31 1585.2 -Recr_1995 2130.58 1024.76 -Recr_1996 5912.76 2539.21 -Recr_1997 8912.91 4197.99 -Recr_1998 2347.15 1461.59 -Recr_1999 2233.89 1430.39 -Recr_2000 2910.32 1965.95 -Recr_2001 3176.38 2517.67 -Recr_2002 4050.79 3229.67 -Recr_2003 4315.87 3274.77 -Recr_2004 4522.52 3311.23 -Recr_2005 4675.39 3339.05 -Recr_2006 4790.51 3361.37 -Recr_2007 4883.94 3381.27 -Recr_2008 4966.59 3400.36 -Recr_2009 5043.85 3418.85 -Recr_2010 5117.36 3436.37 -Recr_2011 5186.95 3452.57 +Recr_Virgin 6722.76 187.391 +Recr_Initial 6722.76 187.391 +Recr_1971 6487.96 1583.18 +Recr_1972 5247.55 2142.59 +Recr_1973 6251.39 2184.34 +Recr_1974 4733.98 1975.05 +Recr_1975 5849.49 2267.51 +Recr_1976 11536.1 2693.62 +Recr_1977 5473.98 2306.8 +Recr_1978 5646.99 2171.41 +Recr_1979 7184.51 2362.1 +Recr_1980 6533.04 2286.45 +Recr_1981 5954.3 1960.35 +Recr_1982 4231.56 1474.72 +Recr_1983 3341.21 1214.1 +Recr_1984 3752.88 1369.51 +Recr_1985 7255.68 1919.74 +Recr_1986 8293.62 2134.43 +Recr_1987 5681.06 1960.48 +Recr_1988 5019.74 1548.85 +Recr_1989 2758.16 1176.91 +Recr_1990 6616.67 1569.31 +Recr_1991 2317.26 981.328 +Recr_1992 1900.3 810.446 +Recr_1993 2290.44 929.513 +Recr_1994 4283.26 1591.45 +Recr_1995 2131.78 1027.44 +Recr_1996 5920.39 2549.41 +Recr_1997 8923.37 4215.29 +Recr_1998 2350.35 1466.21 +Recr_1999 2237.81 1435.77 +Recr_2000 2915.29 1973.01 +Recr_2001 3182.14 2524.82 +Recr_2002 4060.09 3240.38 +Recr_2003 4324.67 3284.01 +Recr_2004 4530.85 3319.36 +Recr_2005 4683.34 3346.37 +Recr_2006 4798.17 3368.09 +Recr_2007 4891.38 3387.51 +Recr_2008 4973.86 3406.18 +Recr_2009 5050.95 3424.29 +Recr_2010 5124.28 3441.45 +Recr_2011 5193.68 3457.31 #_SPR Basis= (1-SPR)/(1-SPR_40%) -SPRratio_1972 0.039288 0.00100864 -SPRratio_1973 0.182423 0.00428796 -SPRratio_1974 0.183884 0.00428964 -SPRratio_1975 0.339227 0.00703282 -SPRratio_1976 0.475244 0.00876237 -SPRratio_1977 0.597825 0.00981084 -SPRratio_1978 0.710473 0.0103906 -SPRratio_1979 0.815048 0.0106301 -SPRratio_1980 0.97627 0.0105544 -SPRratio_1981 1.11317 0.0101063 -SPRratio_1982 1.15537 0.0101478 -SPRratio_1983 1.19824 0.0102545 -SPRratio_1984 1.24218 0.0104799 -SPRratio_1985 1.28793 0.0108799 -SPRratio_1986 1.3362 0.0114898 -SPRratio_1987 1.38676 0.0123312 -SPRratio_1988 1.40601 0.014487 -SPRratio_1989 1.41719 0.0176902 -SPRratio_1990 1.4163 0.0224829 -SPRratio_1991 1.40021 0.0294456 -SPRratio_1992 1.28462 0.0444634 -SPRratio_1993 1.28864 0.0515882 -SPRratio_1994 1.29601 0.0597253 -SPRratio_1995 1.30881 0.0688226 -SPRratio_1996 1.32774 0.0789655 -SPRratio_1997 1.24315 0.105144 -SPRratio_1998 1.25407 0.119475 -SPRratio_1999 1.2606 0.136558 -SPRratio_2000 1.25947 0.15675 -SPRratio_2001 1.25217 0.17949 -SPRratio_2002 0.4668 0.445589 -SPRratio_2003 0.573786 0.307901 -SPRratio_2004 0.639225 0.234909 -SPRratio_2005 0.680173 0.193329 -SPRratio_2006 0.70763 0.167652 -SPRratio_2007 0.728076 0.150523 -SPRratio_2008 0.744944 0.138282 -SPRratio_2009 0.759773 0.129052 -SPRratio_2010 0.77311 0.121897 -SPRratio_2011 0.785099 0.116356 +SPRratio_1972 0.0393038 0.00100986 +SPRratio_1973 0.182493 0.00429306 +SPRratio_1974 0.183956 0.0042949 +SPRratio_1975 0.339356 0.00704171 +SPRratio_1976 0.475421 0.00877413 +SPRratio_1977 0.598044 0.00982516 +SPRratio_1978 0.710727 0.0104074 +SPRratio_1979 0.815331 0.0106496 +SPRratio_1980 0.976581 0.0105769 +SPRratio_1981 1.1135 0.0101324 +SPRratio_1982 1.15571 0.0101802 +SPRratio_1983 1.19858 0.0102945 +SPRratio_1984 1.24252 0.0105293 +SPRratio_1985 1.28827 0.0109398 +SPRratio_1986 1.33654 0.0115609 +SPRratio_1987 1.38708 0.0124134 +SPRratio_1988 1.40632 0.0145877 +SPRratio_1989 1.41747 0.0178151 +SPRratio_1990 1.41655 0.0226412 +SPRratio_1991 1.40042 0.0296505 +SPRratio_1992 1.2848 0.0447695 +SPRratio_1993 1.28878 0.0519375 +SPRratio_1994 1.2961 0.0601223 +SPRratio_1995 1.30887 0.0692711 +SPRratio_1996 1.32776 0.0794694 +SPRratio_1997 1.24312 0.105797 +SPRratio_1998 1.25399 0.120195 +SPRratio_1999 1.26046 0.137353 +SPRratio_2000 1.25924 0.157625 +SPRratio_2001 1.25186 0.180447 +SPRratio_2002 0.467914 0.446331 +SPRratio_2003 0.574594 0.308505 +SPRratio_2004 0.639866 0.235402 +SPRratio_2005 0.680723 0.193741 +SPRratio_2006 0.708127 0.168 +SPRratio_2007 0.728542 0.150813 +SPRratio_2008 0.745392 0.138521 +SPRratio_2009 0.760205 0.129245 +SPRratio_2010 0.773528 0.122051 +SPRratio_2011 0.7855 0.116478 #_F Basis= (F)/(F40%SPR);_with_F=Z-M;_for_ages_20_23 -F_1972 0.0186359 0.000452497 -F_1973 0.0936614 0.00227179 -F_1974 0.0944912 0.00227883 -F_1975 0.191596 0.00456778 -F_1976 0.294175 0.00692677 -F_1977 0.405437 0.00944268 -F_1978 0.528763 0.0122127 -F_1979 0.667624 0.0153256 -F_1980 0.949465 0.0218405 -F_1981 1.29346 0.0303937 -F_1982 1.42997 0.0349414 -F_1983 1.58936 0.0409661 -F_1984 1.78015 0.0494113 -F_1985 2.01719 0.0620088 -F_1986 2.32493 0.0819213 -F_1987 2.73857 0.115196 -F_1988 2.92993 0.152252 -F_1989 3.05204 0.199974 -F_1990 3.04177 0.252903 -F_1991 2.8694 0.299348 -F_1992 1.99832 0.250392 -F_1993 2.02054 0.295311 -F_1994 2.06363 0.353032 -F_1995 2.14046 0.430759 -F_1996 2.26151 0.539645 -F_1997 1.78302 0.497773 -F_1998 1.83709 0.591013 -F_1999 1.86942 0.693382 -F_2000 1.86227 0.791477 -F_2001 1.82652 0.880204 -F_2002 0.287108 0.363697 -F_2003 0.381883 0.294626 -F_2004 0.447805 0.249411 -F_2005 0.492137 0.219442 -F_2006 0.524135 0.199498 -F_2007 0.549643 0.185815 -F_2008 0.571383 0.176012 -F_2009 0.591145 0.16874 -F_2010 0.607855 0.162924 -F_2011 0.624902 0.158943 +F_1972 0.0186462 0.000453239 +F_1973 0.0937134 0.00227557 +F_1974 0.0945445 0.00228274 +F_1975 0.191706 0.00457607 +F_1976 0.29435 0.00694035 +F_1977 0.405687 0.00946297 +F_1978 0.529102 0.0122418 +F_1979 0.668067 0.0153668 +F_1980 0.950118 0.0219083 +F_1981 1.29439 0.0305049 +F_1982 1.43105 0.0350925 +F_1983 1.59062 0.0411739 +F_1984 1.78162 0.0497014 +F_1985 2.01892 0.0624211 +F_1986 2.32701 0.0825211 +F_1987 2.74112 0.116098 +F_1988 2.93266 0.153487 +F_1989 3.05468 0.201601 +F_1990 3.044 0.25491 +F_1991 2.87103 0.301628 +F_1992 1.99914 0.252216 +F_1993 2.02108 0.297372 +F_1994 2.06395 0.355392 +F_1995 2.14058 0.433521 +F_1996 2.26141 0.542953 +F_1997 1.78274 0.500665 +F_1998 1.83654 0.594217 +F_1999 1.86851 0.696798 +F_2000 1.86096 0.794928 +F_2001 1.82484 0.883548 +F_2002 0.288047 0.364893 +F_2003 0.382689 0.295575 +F_2004 0.448522 0.250194 +F_2005 0.492798 0.220109 +F_2006 0.524764 0.200076 +F_2007 0.550255 0.186319 +F_2008 0.571989 0.176448 +F_2009 0.591746 0.169115 +F_2010 0.60845 0.163244 +F_2011 0.625487 0.159217 #_Depletion Basis= 40%*Virgin_Biomass -Bratio_1973 2.49571 0.000148335 -Bratio_1974 2.47435 0.000830083 -Bratio_1975 2.45293 0.00243525 -Bratio_1976 2.40906 0.00551082 -Bratio_1977 2.34223 0.00941577 -Bratio_1978 2.25292 0.0134006 -Bratio_1979 2.14394 0.0170029 -Bratio_1980 2.02115 0.0200221 -Bratio_1981 1.86856 0.0223593 -Bratio_1982 1.68712 0.0241106 -Bratio_1983 1.51657 0.02553 -Bratio_1984 1.3549 0.0266568 -Bratio_1985 1.2003 0.0276063 -Bratio_1986 1.0495 0.0285309 -Bratio_1987 0.898838 0.0295526 -Bratio_1988 0.747957 0.0308277 -Bratio_1989 0.62152 0.0327472 -Bratio_1990 0.526356 0.0358325 -Bratio_1991 0.463712 0.0405451 -Bratio_1992 0.427325 0.0469577 -Bratio_1993 0.426243 0.0548192 -Bratio_1994 0.423183 0.0639147 -Bratio_1995 0.415522 0.0740149 -Bratio_1996 0.400332 0.0846227 -Bratio_1997 0.376219 0.0953258 -Bratio_1998 0.363664 0.106366 -Bratio_1999 0.349977 0.118659 -Bratio_2000 0.3407 0.133742 -Bratio_2001 0.341061 0.153601 -Bratio_2002 0.350642 0.178768 -Bratio_2003 0.404332 0.192495 -Bratio_2004 0.452739 0.204373 -Bratio_2005 0.493044 0.21351 -Bratio_2006 0.526361 0.220827 -Bratio_2007 0.555523 0.227814 -Bratio_2008 0.583089 0.235428 -Bratio_2009 0.610509 0.243759 -Bratio_2010 0.638223 0.252335 -Bratio_2011 0.666062 0.260575 +Bratio_1973 2.49571 0.00014839 +Bratio_1974 2.47434 0.000830589 +Bratio_1975 2.45291 0.00243528 +Bratio_1976 2.409 0.00551045 +Bratio_1977 2.34212 0.00941537 +Bratio_1978 2.25276 0.013401 +Bratio_1979 2.14372 0.0170053 +Bratio_1980 2.02088 0.0200282 +Bratio_1981 1.86823 0.0223728 +Bratio_1982 1.68674 0.0241362 +Bratio_1983 1.51615 0.0255706 +Bratio_1984 1.35446 0.0267157 +Bratio_1985 1.19985 0.0276872 +Bratio_1986 1.04905 0.0286374 +Bratio_1987 0.898404 0.0296873 +Bratio_1988 0.747549 0.0309921 +Bratio_1989 0.621161 0.0329415 +Bratio_1990 0.526073 0.0360596 +Bratio_1991 0.463521 0.0408109 +Bratio_1992 0.427221 0.0472699 +Bratio_1993 0.426214 0.0551852 +Bratio_1994 0.42322 0.0643408 +Bratio_1995 0.415614 0.0745054 +Bratio_1996 0.40047 0.0851791 +Bratio_1997 0.376393 0.095947 +Bratio_1998 0.363875 0.107052 +Bratio_1999 0.350228 0.119413 +Bratio_2000 0.341005 0.134576 +Bratio_2001 0.341437 0.154536 +Bratio_2002 0.351105 0.179834 +Bratio_2003 0.40486 0.193624 +Bratio_2004 0.453327 0.205552 +Bratio_2005 0.493688 0.214722 +Bratio_2006 0.527058 0.222059 +Bratio_2007 0.55628 0.229057 +Bratio_2008 0.583914 0.236679 +Bratio_2009 0.611407 0.245009 +Bratio_2010 0.639194 0.253575 +Bratio_2011 0.667101 0.261796 #_Mgmt_Quantity -SSB_unfished 49838.8 1388.25 -Totbio_unfished 124494 3356.75 -SmryBio_unfished 123982 3345.63 -Recr_unfished 6725.22 187.329 -SSB_Btgt 17044.9 474.78 -SPR_Btgt 0.412873 0.0527303 -annF_Btgt 0.0965007 0.0191255 -Dead_Catch_Btgt 3663.46 738.517 -SSB_SPR 16325.9 2994.17 -annF_SPR 0.101179 0.00194265 -Dead_Catch_SPR 3686.22 681.737 -SSB_MSY 14043.5 2897.4 -SPR_MSY 0.359137 0.108204 -annF_MSY 0.117872 0.0489592 -Dead_Catch_MSY 3719.5 852.655 -Ret_Catch_MSY 3719.5 852.655 -B_MSY/SSB_unfished 0.281777 0.0567661 -ForeCatch_2002 507.744 894.487 -ForeCatch_2003 753.544 934.844 -ForeCatch_2004 963.494 969.889 -ForeCatch_2005 1136 1000.49 -ForeCatch_2006 1281.91 1029.83 -ForeCatch_2007 1413.94 1059.74 -ForeCatch_2008 1541.08 1089.36 -ForeCatch_2009 1667.59 1116.21 -ForeCatch_2010 1794.13 1137.97 -ForeCatch_2011 1919.52 1153.31 -OFLCatch_2002 1724.79 876.688 -OFLCatch_2003 1930.42 927.231 -OFLCatch_2004 2107.95 968.776 -OFLCatch_2005 2260.78 1003.74 -OFLCatch_2006 2397.65 1035.65 -OFLCatch_2007 2526.87 1066.07 -OFLCatch_2008 2653.59 1094.35 -OFLCatch_2009 2779.81 1118.86 -OFLCatch_2010 2905.29 1138.14 -OFLCatch_2011 3028.73 1151.38 +SSB_unfished 49823.1 1388.77 +Totbio_unfished 124452 3358.1 +SmryBio_unfished 123941 3346.99 +Recr_unfished 6722.76 187.391 +SSB_Btgt 17039.5 474.961 +SPR_Btgt 0.412508 0.0528433 +annF_Btgt 0.0965994 0.0191914 +Dead_Catch_Btgt 3666.95 741.181 +SSB_SPR 16341.5 2996.81 +annF_SPR 0.101146 0.00194162 +Dead_Catch_SPR 3689.29 682.315 +SSB_MSY 14019.9 2911.75 +SPR_MSY 0.358395 0.10868 +annF_MSY 0.118163 0.0493272 +Dead_Catch_MSY 3723.75 856.801 +Ret_Catch_MSY 3723.75 856.801 +B_MSY/SSB_unfished 0.281393 0.0570914 +ForeCatch_2002 509.917 899.476 +ForeCatch_2003 755.869 939.968 +ForeCatch_2004 965.957 975.111 +ForeCatch_2005 1138.61 1005.78 +ForeCatch_2006 1284.71 1035.17 +ForeCatch_2007 1416.97 1065.12 +ForeCatch_2008 1544.38 1094.73 +ForeCatch_2009 1671.16 1121.53 +ForeCatch_2010 1797.97 1143.2 +ForeCatch_2011 1923.59 1158.39 +OFLCatch_2002 1726.58 881.551 +OFLCatch_2003 1932.36 932.287 +OFLCatch_2004 2110.02 973.965 +OFLCatch_2005 2263.01 1009.02 +OFLCatch_2006 2400.09 1040.98 +OFLCatch_2007 2529.54 1071.42 +OFLCatch_2008 2656.53 1099.69 +OFLCatch_2009 2783.01 1124.14 +OFLCatch_2010 2908.73 1143.32 +OFLCatch_2011 3032.39 1156.41 #_Extra_stdev -LenSelex_std_1_Fem_L_18 0.00433674 0.000731091 -LenSelex_std_1_Fem_L_38 0.0912681 0.00658479 -LenSelex_std_1_Fem_L_58 0.698421 0.0300719 -LenSelex_std_1_Fem_L_78 0.981618 0.00480493 -LenSelex_std_1_Fem_L_94 0.998481 0.000562505 -LenSelex_std_1_Mal_L_18 0.00433674 0.000731091 -LenSelex_std_1_Mal_L_38 0.0912681 0.00658479 -LenSelex_std_1_Mal_L_58 0.698421 0.0300719 -LenSelex_std_1_Mal_L_78 0.981618 0.00480493 -LenSelex_std_1_Mal_L_94 0.998481 0.000562505 -Grow_std_GP:_1_Fem_A_1 31.871 0.281509 -Grow_std_GP:_1_Fem_A_2 37.4813 0.209055 -Grow_std_GP:_1_Fem_A_14 66.8749 0.188829 -Grow_std_GP:_1_Fem_A_26 71.927 0.324687 -Grow_std_GP:_1_Fem_A_40 72.8564 0.394256 -Grow_std_GP:_1_Mal_A_1 32.2877 0.269627 -Grow_std_GP:_1_Mal_A_2 38.0116 0.201487 -Grow_std_GP:_1_Mal_A_14 65.8008 0.183477 -Grow_std_GP:_1_Mal_A_26 69.7416 0.304009 -Grow_std_GP:_1_Mal_A_40 70.3336 0.352695 -NatAge_std_1_Fem_A_1 1433.28 1137.44 -NatAge_std_1_Fem_A_2 1179.45 801.69 -NatAge_std_1_Fem_A_14 141.279 86.5265 -NatAge_std_1_Fem_A_26 6.7206 4.7166 -NatAge_std_1_Fem_A_40 4.3359 3.01381 -NatAge_std_1_Mal_A_1 1433.18 1137.39 -NatAge_std_1_Mal_A_2 1178.78 801.498 -NatAge_std_1_Mal_A_14 140.868 85.8599 -NatAge_std_1_Mal_A_26 7.25225 4.96932 -NatAge_std_1_Mal_A_40 4.9805 3.33724 -ln(SPB)_1971 10.8166 0.0282476 -ln(SPB)_1986 9.94857 0.0354515 -ln(SPB)_2001 8.82457 0.453904 -SmryBio_Virgin 123982 0.0 -SmryBio_Initial 123982 0.0 -SmryBio_1971 123982 0.0 -SmryBio_1972 123941 0.0 -SmryBio_1973 123463 0.0 -SmryBio_1974 122241 0.0 -SmryBio_1975 120725 0.0 -SmryBio_1976 118287 0.0 -SmryBio_1977 115942 0.0 -SmryBio_1978 112412 0.0 -SmryBio_1979 108153 0.0 -SmryBio_1980 103411 0.0 -SmryBio_1981 97075.1 0.0 -SmryBio_1982 89153.5 0.0 -SmryBio_1983 81282.1 0.0 -SmryBio_1984 73365.5 0.0 -SmryBio_1985 65496.3 0.0 -SmryBio_1986 58279.5 0.0 -SmryBio_1987 51765.8 0.0 -SmryBio_1988 45512.1 0.0 -SmryBio_1989 40475.2 0.0 -SmryBio_1990 36191.8 0.0 -SmryBio_1991 33359.5 0.0 -SmryBio_1992 30929 0.0 -SmryBio_1993 29974.4 0.0 -SmryBio_1994 28711.9 0.0 -SmryBio_1995 27484.6 0.0 -SmryBio_1996 25863.6 0.0 -SmryBio_1997 24712.8 0.0 -SmryBio_1998 25339.8 0.0 -SmryBio_1999 25559.4 0.0 -SmryBio_2000 25694.7 0.0 -SmryBio_2001 25752.8 0.0 -SmryBio_2002 25679.1 0.0 -SmryBio_2003 27912.3 0.0 -SmryBio_2004 29954.1 0.0 -SmryBio_2005 31863.2 0.0 -SmryBio_2006 33692 0.0 -SmryBio_2007 35473.2 0.0 -SmryBio_2008 37218.1 0.0 -SmryBio_2009 38923.1 0.0 -SmryBio_2010 40576.6 0.0 -SmryBio_2011 42165.2 0.0 +LenSelex_std_1_Fem_L_18 0.00434574 0.000734294 +LenSelex_std_1_Fem_L_38 0.0914237 0.00660838 +LenSelex_std_1_Fem_L_58 0.698772 0.0300469 +LenSelex_std_1_Fem_L_78 0.981644 0.00479934 +LenSelex_std_1_Fem_L_94 0.998483 0.000562026 +LenSelex_std_1_Mal_L_18 0.00434574 0.000734294 +LenSelex_std_1_Mal_L_38 0.0914237 0.00660838 +LenSelex_std_1_Mal_L_58 0.698772 0.0300469 +LenSelex_std_1_Mal_L_78 0.981644 0.00479934 +LenSelex_std_1_Mal_L_94 0.998483 0.000562026 +Grow_std_GP:_1_Fem_A_1 31.8703 0.28149 +Grow_std_GP:_1_Fem_A_2 37.4812 0.209058 +Grow_std_GP:_1_Fem_A_14 66.8757 0.188807 +Grow_std_GP:_1_Fem_A_26 71.9271 0.324652 +Grow_std_GP:_1_Fem_A_40 72.8562 0.394202 +Grow_std_GP:_1_Mal_A_1 32.2871 0.269611 +Grow_std_GP:_1_Mal_A_2 38.0116 0.201498 +Grow_std_GP:_1_Mal_A_14 65.8015 0.18346 +Grow_std_GP:_1_Mal_A_26 69.7417 0.303979 +Grow_std_GP:_1_Mal_A_40 70.3335 0.352651 +NatAge_std_1_Fem_A_1 1435.88 1140.68 +NatAge_std_1_Fem_A_2 1181.46 804.588 +NatAge_std_1_Fem_A_14 141.382 86.9531 +NatAge_std_1_Fem_A_26 6.71533 4.7358 +NatAge_std_1_Fem_A_40 4.33354 3.02723 +NatAge_std_1_Mal_A_1 1435.77 1140.63 +NatAge_std_1_Mal_A_2 1180.78 804.397 +NatAge_std_1_Mal_A_14 140.966 86.2814 +NatAge_std_1_Mal_A_26 7.24577 4.9892 +NatAge_std_1_Mal_A_40 4.97693 3.35195 +ln(SPB)_1971 10.8162 0.028267 +ln(SPB)_1986 9.94782 0.0356085 +ln(SPB)_2001 8.82535 0.45618 +SmryBio_Virgin 123941 0.0 +SmryBio_Initial 123941 0.0 +SmryBio_1971 123941 0.0 +SmryBio_1972 123899 0.0 +SmryBio_1973 123420 0.0 +SmryBio_1974 122197 0.0 +SmryBio_1975 120680 0.0 +SmryBio_1976 118241 0.0 +SmryBio_1977 115895 0.0 +SmryBio_1978 112365 0.0 +SmryBio_1979 108106 0.0 +SmryBio_1980 103365 0.0 +SmryBio_1981 97030 0.0 +SmryBio_1982 89110.3 0.0 +SmryBio_1983 81241.4 0.0 +SmryBio_1984 73327.5 0.0 +SmryBio_1985 65461.4 0.0 +SmryBio_1986 58248.9 0.0 +SmryBio_1987 51739.9 0.0 +SmryBio_1988 45491.1 0.0 +SmryBio_1989 40459 0.0 +SmryBio_1990 36179.8 0.0 +SmryBio_1991 33351.5 0.0 +SmryBio_1992 30924.3 0.0 +SmryBio_1993 29972.5 0.0 +SmryBio_1994 28712.4 0.0 +SmryBio_1995 27487.7 0.0 +SmryBio_1996 25868.8 0.0 +SmryBio_1997 24720.9 0.0 +SmryBio_1998 25352 0.0 +SmryBio_1999 25575.5 0.0 +SmryBio_2000 25714.7 0.0 +SmryBio_2001 25777 0.0 +SmryBio_2002 25707.5 0.0 +SmryBio_2003 27943.6 0.0 +SmryBio_2004 29988.6 0.0 +SmryBio_2005 31901 0.0 +SmryBio_2006 33733.4 0.0 +SmryBio_2007 35518.2 0.0 +SmryBio_2008 37266.5 0.0 +SmryBio_2009 38974.5 0.0 +SmryBio_2010 40630.6 0.0 +SmryBio_2011 42221.4 0.0 #_survey_stdev 0 #_Biomass -TotBio_Virgin 124494 0.0 -TotBio_Initial 124494 0.0 -TotBio_1971 124477 0.0 -TotBio_1972 124341 0.0 -TotBio_1973 123940 0.0 -TotBio_1974 122601 0.0 -TotBio_1975 121171 0.0 -TotBio_1976 119166 0.0 -TotBio_1977 116359 0.0 -TotBio_1978 112842 0.0 -TotBio_1979 108700 0.0 -TotBio_1980 103909 0.0 -TotBio_1981 97528.2 0.0 -TotBio_1982 89475.6 0.0 -TotBio_1983 81536.4 0.0 -TotBio_1984 73651 0.0 -TotBio_1985 66048.1 0.0 -TotBio_1986 58910.6 0.0 -TotBio_1987 52198 0.0 -TotBio_1988 45894.2 0.0 -TotBio_1989 40685.1 0.0 -TotBio_1990 36695.3 0.0 -TotBio_1991 33535.8 0.0 -TotBio_1992 31073.6 0.0 -TotBio_1993 30148.7 0.0 -TotBio_1994 29037.7 0.0 -TotBio_1995 27646.8 0.0 -TotBio_1996 26313.9 0.0 -TotBio_1997 25391.5 0.0 -TotBio_1998 25518.6 0.0 -TotBio_1999 25729.6 0.0 -TotBio_2000 25916.3 0.0 -TotBio_2001 25994.7 0.0 -TotBio_2002 25987.6 0.0 -TotBio_2003 28241 0.0 -TotBio_2004 30298.5 0.0 -TotBio_2005 32219.2 0.0 -TotBio_2006 34056.8 0.0 -TotBio_2007 35845.1 0.0 -TotBio_2008 37596.4 0.0 -TotBio_2009 39307.2 0.0 -TotBio_2010 40966.3 0.0 -TotBio_2011 42560.2 0.0 +TotBio_Virgin 124452 0.0 +TotBio_Initial 124452 0.0 +TotBio_1971 124435 0.0 +TotBio_1972 124298 0.0 +TotBio_1973 123896 0.0 +TotBio_1974 122557 0.0 +TotBio_1975 121125 0.0 +TotBio_1976 119120 0.0 +TotBio_1977 116312 0.0 +TotBio_1978 112795 0.0 +TotBio_1979 108653 0.0 +TotBio_1980 103863 0.0 +TotBio_1981 97483.3 0.0 +TotBio_1982 89432.5 0.0 +TotBio_1983 81495.7 0.0 +TotBio_1984 73613.2 0.0 +TotBio_1985 66013.8 0.0 +TotBio_1986 58880.3 0.0 +TotBio_1987 52172.4 0.0 +TotBio_1988 45873.3 0.0 +TotBio_1989 40668.9 0.0 +TotBio_1990 36683.5 0.0 +TotBio_1991 33527.9 0.0 +TotBio_1992 31068.9 0.0 +TotBio_1993 30146.9 0.0 +TotBio_1994 29038.5 0.0 +TotBio_1995 27650 0.0 +TotBio_1996 26319.5 0.0 +TotBio_1997 25400.2 0.0 +TotBio_1998 25530.9 0.0 +TotBio_1999 25745.8 0.0 +TotBio_2000 25936.7 0.0 +TotBio_2001 26019.2 0.0 +TotBio_2002 26016.6 0.0 +TotBio_2003 28272.8 0.0 +TotBio_2004 30333.5 0.0 +TotBio_2005 32257.6 0.0 +TotBio_2006 34098.7 0.0 +TotBio_2007 35890.5 0.0 +TotBio_2008 37645.2 0.0 +TotBio_2009 39359.1 0.0 +TotBio_2010 41020.8 0.0 +TotBio_2011 42616.8 0.0 TotCatch_Virgin 0 0.0 TotCatch_Initial 0 0.0 TotCatch_1971 0 0.0 @@ -509,13 +506,13 @@ TotCatch_1998 3000 0.0 TotCatch_1999 3000 0.0 TotCatch_2000 3000 0.0 TotCatch_2001 3000 0.0 -TotCatch_2002 507.744 0.0 -TotCatch_2003 753.544 0.0 -TotCatch_2004 963.494 0.0 -TotCatch_2005 1136 0.0 -TotCatch_2006 1281.91 0.0 -TotCatch_2007 1413.94 0.0 -TotCatch_2008 1541.08 0.0 -TotCatch_2009 1667.59 0.0 -TotCatch_2010 1794.13 0.0 -TotCatch_2011 1919.52 0.0 +TotCatch_2002 509.917 0.0 +TotCatch_2003 755.869 0.0 +TotCatch_2004 965.957 0.0 +TotCatch_2005 1138.61 0.0 +TotCatch_2006 1284.71 0.0 +TotCatch_2007 1416.97 0.0 +TotCatch_2008 1544.38 0.0 +TotCatch_2009 1671.16 0.0 +TotCatch_2010 1797.97 0.0 +TotCatch_2011 1923.59 0.0 diff --git a/models/Simple_NoCPUE/warning.sso b/models/Simple_NoCPUE/warning.sso index d32597b..b7a1650 100644 --- a/models/Simple_NoCPUE/warning.sso +++ b/models/Simple_NoCPUE/warning.sso @@ -1,5 +1,3 @@ -Warning 1 : fishing fleet: 1 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month Note 1 Information: Max data length bin: 90 < max pop len bins: 94; so will accumulate larger pop len bins -Note 2 Suggestion: This model has just one settlement event. Changing to recr_dist_method 4 and removing the recruitment distribution parameters at the end of the MG parms section (below growth parameters) will produce identical results and simplify the model. -Note 3 Information: A revised protocol for the Fcast_yr specification is available and recommended. - 1 warning and 3 notes +Note 2 Information: A revised protocol for the Fcast_yr specification is available and recommended. + 2 notes diff --git a/models/Simple_with_Discard/control.ss b/models/Simple_with_Discard/control.ss index 5a002a9..f2612a4 100644 --- a/models/Simple_with_Discard/control.ss +++ b/models/Simple_with_Discard/control.ss @@ -15,7 +15,7 @@ #_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # -2 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) +4 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) 1 # not yet implemented; Future usage: Spawner-Recruitment: 1=global; 2=by area 1 # number of recruitment settlement assignments 0 # unused option @@ -99,9 +99,6 @@ -3 4 3.34694 3.34694 0.8 0 -3 0 0 0 0 0 0 0 # Wtlen_2_Mal_GP_1 # Hermaphroditism # Recruitment Distribution - 0 0 0 0 0 0 -4 0 0 0 0 0 0 0 # RecrDist_GP_1 - 0 0 0 0 0 0 -4 0 0 0 0 0 0 0 # RecrDist_Area_1 - 0 0 0 0 0 0 -4 0 0 0 0 0 0 0 # RecrDist_month_1 # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement diff --git a/models/Simple_with_Discard/ss.par b/models/Simple_with_Discard/ss.par index 080e1c9..1aba6b5 100644 --- a/models/Simple_with_Discard/ss.par +++ b/models/Simple_with_Discard/ss.par @@ -1,14 +1,14 @@ -# Number of parameters = 55 Objective function value = 1590.79479868910 Maximum gradient component = 2.21237564895329e-06 +# Number of parameters = 55 Objective function value = 1590.79479868910 Maximum gradient component = 2.30271032228557e-06 # dummy_parm: 1.00000000000 # MGparm[1]: 0.100000000000 # MGparm[2]: -21.8439166233 +21.8439166054 # MGparm[3]: -71.4693259325 +71.4693259262 # MGparm[4]: -0.148674399534 +0.148674399642 # MGparm[5]: 0.100000000000 # MGparm[6]: @@ -30,9 +30,9 @@ # MGparm[14]: 0.00000000000 # MGparm[15]: -69.6810685443 +69.6810685423 # MGparm[16]: -0.160802433820 +0.160802433938 # MGparm[17]: 0.100000000000 # MGparm[18]: @@ -42,19 +42,13 @@ # MGparm[20]: 3.34694000000 # MGparm[21]: -0.00000000000 -# MGparm[22]: -0.00000000000 -# MGparm[23]: -0.00000000000 -# MGparm[24]: 1.00000000000 -# MGparm[25]: +# MGparm[22]: 0.500000000000 # SR_parm[1]: -8.87156140484 +8.87156140536 # SR_parm[2]: -0.621653833140 +0.621653831040 # SR_parm[3]: 0.600000000000 # SR_parm[4]: @@ -62,29 +56,29 @@ # SR_parm[5]: 0.00000000000 # recdev1: - 0.152048879091 -0.0946752525521 0.110298267668 -0.178095532667 0.0435860035156 0.709985198302 -0.0130967571930 0.00421147755958 0.267748019800 0.165903899190 0.132444906547 -0.228698839245 -0.466714984302 -0.301659332951 0.402607327058 0.576509874760 0.236020256221 0.154297314250 -0.422340975544 0.555724389979 -0.653760532229 -0.244394140948 -0.987371028632 0.376022657302 -0.476264894538 0.408171045603 1.12550342069 -0.544830801966 -0.661744036938 0.160206811384 -0.307642639210 + 0.152048878460 -0.0946752542329 0.110298265149 -0.178095536135 0.0435860173264 0.709985188391 -0.0130967538875 0.00421148923915 0.267748004843 0.165903909238 0.132444908581 -0.228698856584 -0.466714953408 -0.301659370638 0.402607352551 0.576509853164 0.236020286156 0.154297294480 -0.422340954929 0.555724389388 -0.653760531436 -0.244394134238 -0.987371044199 0.376022664151 -0.476264905789 0.408171055280 1.12550341825 -0.544830776081 -0.661744054470 0.160206823748 -0.307642672370 # Fcast_recruitments: 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 # Q_parm[1]: 0.00000000000 # Q_parm[2]: -0.438663910661 +0.438663911208 # Q_parm[3]: 0.00000000000 # Q_parm[4]: --6.71531423975 +-6.71531423384 # Q_parm[5]: 0.00000000000 # selparm[1]: -53.6663876797 +53.6663876738 # selparm[2]: -18.8306996096 +18.8306996083 # selparm[3]: -38.7357727458 +38.7357728060 # selparm[4]: -6.22218125524 +6.22218122561 # selparm[5]: -3.73863556818 +3.73863556175 # selparm[6]: 1.00000000000 # selparm[7]: @@ -96,9 +90,9 @@ # selparm[10]: 0.00000000000 # selparm[11]: -36.6668414447 +36.6668414360 # selparm[12]: -6.66792678408 +6.66792677096 # selparm[13]: 0.00000000000 # selparm[14]: diff --git a/models/Simple_with_Discard/ss_summary.sso b/models/Simple_with_Discard/ss_summary.sso index f3d67f0..d99076f 100644 --- a/models/Simple_with_Discard/ss_summary.sso +++ b/models/Simple_with_Discard/ss_summary.sso @@ -1,8 +1,8 @@ #V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 data.ss #_DataFile control.ss #_Control -Run_Date: Tue Oct 31 17:03:43 2023 -Final_phase: 6 N_iterations: 398 +Run_Date: Wed Nov 1 11:13:22 2023 +Final_phase: 6 N_iterations: 397 #_LIKELIHOOD Label logL*Lambda TOTAL_LogL 1590.79 @@ -15,7 +15,7 @@ Age_comp 614.604 Size_at_age 123.54 Recruitment -7.16913 InitEQ_regime 0 -Sum_recdevs -1.66533e-16 +Sum_recdevs 4.44089e-16 Forecast_Recruitment 0 Parm_priors 1.10698 Parm_softbounds 0.00147008 @@ -45,9 +45,6 @@ CV_young_Mal_GP_1 0.1 0 Fix 0.249999 CV_old_Mal_GP_1 0.1 0 Fix 0.249999 Wtlen_1_Mal_GP_1 2.44e-06 0 Fix 0.5 Wtlen_2_Mal_GP_1 3.34694 0 Fix 0.906706 -RecrDist_GP_1 0 0 Fix 0 -RecrDist_Area_1 0 0 Fix 0 -RecrDist_month_1 0 0 Fix 0 CohortGrowDev 1 0 Fix 0.0909091 FracFemale_GP_1 0.5 0 Fix 0.499999 #_SPAWN_RECR @@ -63,7 +60,7 @@ Main_RecrDev_1974 -0.178096 0.41921 Act 0.48219 Main_RecrDev_1975 0.043586 0.384829 Act 0.504359 Main_RecrDev_1976 0.709985 0.238263 Act 0.570998 Main_RecrDev_1977 -0.0130968 0.419572 Act 0.49869 -Main_RecrDev_1978 0.00421148 0.387811 Act 0.500421 +Main_RecrDev_1978 0.00421149 0.387811 Act 0.500421 Main_RecrDev_1979 0.267748 0.327621 Act 0.526775 Main_RecrDev_1980 0.165904 0.35552 Act 0.51659 Main_RecrDev_1981 0.132445 0.321954 Act 0.513244 @@ -104,7 +101,7 @@ Q_extraSD_SURVEY1(2) 0 0 Fix 0 LnQ_base_SURVEY2(3) -6.71531 0 Fix 0.0237238 LnQ_base_Depletion(4) 0 0 Fix 0.583333 #_Selectivity -Size_inflection_FISHERY(1) 53.6664 0.699394 Act 0.568301 +Size_inflection_FISHERY(1) 53.6664 0.699395 Act 0.568301 Size_95%width_FISHERY(1) 18.8307 0.69995 Act 0.313731 Retain_L_infl_FISHERY(1) 38.7358 1.67077 Act 0.374715 Retain_L_width_FISHERY(1) 6.22218 0.648201 Act 0.618402 @@ -179,7 +176,7 @@ Recr_1976 12038.8 2824.65 Recr_1977 5816.02 2437.99 Recr_1978 5880.39 2273.3 Recr_1979 7589.97 2472.73 -Recr_1980 6784.45 2406.53 +Recr_1980 6784.46 2406.53 Recr_1981 6466.38 2074.34 Recr_1982 4415.35 1542.94 Recr_1983 3400.56 1244.11 diff --git a/models/Simple_with_Discard/warning.sso b/models/Simple_with_Discard/warning.sso index a9a8910..3843181 100644 --- a/models/Simple_with_Discard/warning.sso +++ b/models/Simple_with_Discard/warning.sso @@ -1,5 +1,4 @@ Note 1 Information: Max data length bin: 90 < max pop len bins: 94; so will accumulate larger pop len bins -Note 2 Suggestion: This model has just one settlement event. Changing to recr_dist_method 4 and removing the recruitment distribution parameters at the end of the MG parms section (below growth parameters) will produce identical results and simplify the model. -Note 3 Information: A revised protocol for the Fcast_yr specification is available and recommended. +Note 2 Information: A revised protocol for the Fcast_yr specification is available and recommended. Warning 1 : Reminder: Number of lamdas !=0.0 and !=1.0: 1 - 1 warning and 3 notes + 1 warning and 2 notes diff --git a/models/Spinydogfish_2011/Spiny_Dogfish.CTL b/models/Spinydogfish_2011/Spiny_Dogfish.CTL index 0d996f8..602bf66 100644 --- a/models/Spinydogfish_2011/Spiny_Dogfish.CTL +++ b/models/Spinydogfish_2011/Spiny_Dogfish.CTL @@ -13,7 +13,7 @@ #_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # -2 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) +4 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) 1 # not yet implemented; Future usage: Spawner-Recruitment: 1=global; 2=by area 1 # number of recruitment settlement assignments 0 # unused option @@ -97,9 +97,6 @@ 2 4 3.0349 3.0349 99 0 -5 0 0 0 0 0 0 0 # Wtlen_2_Mal_GP_1 # Hermaphroditism # Recruitment Distribution - 0 2 1 1 99 0 -5 0 0 0 0 0 0 0 # RecrDist_GP_1 - 0 2 1 1 99 0 -5 0 0 0 0 0 0 0 # RecrDist_Area_1 - 0 2 1 1 99 0 -5 0 0 0 0 0 0 0 # RecrDist_month_1 # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement diff --git a/models/Spinydogfish_2011/Spiny_Dogfish.DAT b/models/Spinydogfish_2011/Spiny_Dogfish.DAT index f3bf2fe..8245547 100644 --- a/models/Spinydogfish_2011/Spiny_Dogfish.DAT +++ b/models/Spinydogfish_2011/Spiny_Dogfish.DAT @@ -26,14 +26,14 @@ #_catch_mult: 0=no; 1=yes #_rows are fleets #_fleet_type fishery_timing area catch_units need_catch_mult fleetname - 1 1 1 1 0 TRAWL # 1 - 1 1 1 1 0 Trawl_Discard # 2 - 1 1 1 1 0 MIDWATER # 3 - 1 1 1 1 0 A-SHOP # 4 - 1 1 1 1 0 HKL # 5 - 1 1 1 1 0 Hkl_Discard # 6 - 1 1 1 1 0 OTHERS # 7 - 1 1 1 1 0 RECREATIONAL # 8 + 1 -1 1 1 0 TRAWL # 1 + 1 -1 1 1 0 Trawl_Discard # 2 + 1 -1 1 1 0 MIDWATER # 3 + 1 -1 1 1 0 A-SHOP # 4 + 1 -1 1 1 0 HKL # 5 + 1 -1 1 1 0 Hkl_Discard # 6 + 1 -1 1 1 0 OTHERS # 7 + 1 -1 1 1 0 RECREATIONAL # 8 3 1 1 2 0 AFSC_triennial # 9 3 1 1 2 0 AFSC_slope # 10 3 1 1 2 0 NWFSC_shelf_slope # 11 @@ -423,31 +423,31 @@ 31 #_N_LengthBins; then enter lower edge of each length bin 12 16 20 24 28 32 36 40 44 48 52 56 60 64 68 72 76 80 84 88 92 96 100 104 108 112 116 120 124 128 132 #_yr month fleet sex part Nsamp datavector(female-male) - 2003 7 1 3 2 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 9 6 2 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 2006 7 1 3 2 38 0 0 0 0 0 0 0 0 0 1 0 0 0 1 1 2 3 0 5 2 2 4 10 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 3 12 75 64 46 13 0 0 0 0 0 0 0 0 0 0 0 - 2007 7 1 3 2 63 0 0 0 0 0 0 0 0 0 1 1 0 0 0 3 3 5 2 16 17 24 48 42 33 28 10 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 21 54 47 41 12 0 0 0 0 0 0 0 0 0 0 0 - 2009 7 1 3 2 28 0 0 0 0 0 0 0 0 0 1 1 3 7 6 6 7 4 2 0 1 1 0 1 2 4 5 6 1 0 1 1 0 0 0 0 0 0 0 0 0 1 2 5 9 12 8 9 3 12 11 10 3 2 2 0 0 1 1 0 0 0 0 + 2003 7 1 3 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 9 6 2 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 + 2006 7 1 3 0 38 0 0 0 0 0 0 0 0 0 1 0 0 0 1 1 2 3 0 5 2 2 4 10 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 3 12 75 64 46 13 0 0 0 0 0 0 0 0 0 0 0 + 2007 7 1 3 0 63 0 0 0 0 0 0 0 0 0 1 1 0 0 0 3 3 5 2 16 17 24 48 42 33 28 10 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 21 54 47 41 12 0 0 0 0 0 0 0 0 0 0 0 + 2009 7 1 3 0 28 0 0 0 0 0 0 0 0 0 1 1 3 7 6 6 7 4 2 0 1 1 0 1 2 4 5 6 1 0 1 1 0 0 0 0 0 0 0 0 0 1 2 5 9 12 8 9 3 12 11 10 3 2 2 0 0 1 1 0 0 0 0 2004 7 2 3 0 40 0 0 0 0 0 0 0 1 1 4 2 13 8 16 11 9 12 3 6 5 3 2 3 1 2 2 1 0 0 1 0 0 0 0 0 0 0 0 1 1 6 8 8 9 21 13 20 9 5 0 1 0 0 0 0 0 0 0 0 0 0 0 2006 7 2 3 0 909 0 2 3 13 22 13 28 37 60 82 86 78 75 75 55 45 21 21 24 15 12 8 10 7 1 1 0 0 0 1 0 0 0 3 3 14 10 18 26 46 40 46 68 67 85 97 99 80 53 38 22 4 4 1 0 0 0 0 0 0 0 0 2007 7 2 3 0 678 3 3 2 8 5 5 10 22 31 48 56 58 54 56 25 27 14 13 13 8 7 10 10 6 6 1 1 1 0 0 0 2 4 5 4 4 4 8 17 25 40 58 56 73 80 88 80 66 45 26 10 3 1 0 0 0 0 0 0 0 0 0 2008 7 2 3 0 314 0 0 0 2 6 1 4 9 5 12 16 23 31 37 25 2 6 8 5 14 13 13 5 11 5 4 0 0 0 0 0 0 0 0 2 4 5 6 1 6 7 12 19 33 37 45 34 42 29 16 12 0 2 1 0 0 0 1 0 0 0 0 2009 7 2 3 0 1282 0 0 0 7 12 12 14 35 38 62 77 103 94 100 92 45 30 27 26 40 28 48 62 39 30 8 1 1 0 0 0 0 0 0 5 4 2 12 20 16 46 80 91 102 115 125 164 160 177 89 40 8 6 2 2 0 0 0 0 0 0 0 - 2005 7 3 3 2 21 0 0 0 0 0 0 0 8 16 16 8 19 11 10 3 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 17 12 8 17 21 10 11 4 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 - 2006 7 3 3 2 56 0 0 0 0 8 13 50 52 41 19 10 2 4 5 8 2 1 3 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 6 17 40 43 55 22 7 9 14 8 16 7 14 9 6 0 0 0 0 0 0 0 0 0 0 0 0 - 2007 7 3 3 2 106 0 0 0 0 0 0 5 18 41 51 31 52 44 75 53 17 13 1 1 2 0 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 2 9 26 45 52 48 56 84 64 38 75 34 32 2 0 0 0 0 0 0 0 0 0 0 0 - 2008 7 3 3 2 21 0 0 0 0 0 0 0 0 1 0 1 2 8 16 15 5 4 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 4 8 9 21 17 10 14 8 2 0 0 0 0 0 0 0 0 0 0 0 0 - 2009 7 3 3 2 28 0 0 0 0 0 1 7 12 9 3 3 14 11 5 2 0 1 0 1 1 8 7 12 6 1 0 1 0 0 0 0 0 1 0 0 1 1 4 9 10 6 5 8 9 10 6 4 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 - 2010 7 3 3 2 78 0 0 0 0 0 0 0 1 6 25 39 58 38 40 12 6 0 0 0 1 3 2 3 0 4 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 17 34 62 40 42 31 21 32 19 17 23 7 2 0 0 0 0 0 0 0 0 0 + 2005 7 3 3 0 21 0 0 0 0 0 0 0 8 16 16 8 19 11 10 3 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 17 12 8 17 21 10 11 4 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 + 2006 7 3 3 0 56 0 0 0 0 8 13 50 52 41 19 10 2 4 5 8 2 1 3 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 6 17 40 43 55 22 7 9 14 8 16 7 14 9 6 0 0 0 0 0 0 0 0 0 0 0 0 + 2007 7 3 3 0 106 0 0 0 0 0 0 5 18 41 51 31 52 44 75 53 17 13 1 1 2 0 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 2 9 26 45 52 48 56 84 64 38 75 34 32 2 0 0 0 0 0 0 0 0 0 0 0 + 2008 7 3 3 0 21 0 0 0 0 0 0 0 0 1 0 1 2 8 16 15 5 4 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 4 8 9 21 17 10 14 8 2 0 0 0 0 0 0 0 0 0 0 0 0 + 2009 7 3 3 0 28 0 0 0 0 0 1 7 12 9 3 3 14 11 5 2 0 1 0 1 1 8 7 12 6 1 0 1 0 0 0 0 0 1 0 0 1 1 4 9 10 6 5 8 9 10 6 4 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 + 2010 7 3 3 0 78 0 0 0 0 0 0 0 1 6 25 39 58 38 40 12 6 0 0 0 1 3 2 3 0 4 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 17 34 62 40 42 31 21 32 19 17 23 7 2 0 0 0 0 0 0 0 0 0 2007 7 4 3 0 2883 0 0 0 0 0 4 16 41 134 206 148 221 172 160 94 26 20 16 16 17 30 43 66 39 34 13 8 3 3 1 1 0 2 0 2 3 5 21 52 124 145 227 228 174 227 151 96 101 65 45 29 18 9 4 2 1 1 0 1 0 0 0 2008 7 4 3 0 15657 0 0 1 3 11 14 20 56 562 1350 959 1149 1102 1221 573 248 177 97 94 128 118 142 163 108 90 23 8 1 1 0 0 3 4 3 3 10 19 14 56 506 970 1350 1264 1203 1523 1280 944 1237 698 389 81 7 5 3 1 2 1 0 0 0 0 0 2009 7 4 3 0 4236 0 0 0 0 0 2 6 23 124 216 113 119 114 176 173 111 109 47 42 45 35 63 42 25 18 4 1 0 0 0 0 0 1 1 0 0 1 3 23 106 161 232 126 120 237 419 486 706 407 218 40 3 1 0 0 1 0 0 0 0 0 0 2010 7 4 3 0 8384 0 3 0 1 1 10 30 99 336 533 555 765 484 376 198 71 44 15 18 24 34 58 64 32 26 9 4 1 0 0 0 1 0 0 0 3 12 43 88 331 402 736 816 581 633 501 470 756 437 240 49 6 2 1 0 0 0 0 0 0 0 0 - 2003 7 5 3 2 18 0 0 0 0 0 0 0 0 0 0 0 0 2 1 1 1 1 3 5 4 13 11 11 2 9 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 6 2 7 8 4 1 0 2 0 0 0 0 0 0 0 0 0 - 2004 7 5 3 2 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 3 8 7 13 20 16 9 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 4 1 4 1 0 0 0 0 0 0 0 0 0 0 0 - 2006 7 5 3 2 71 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 6 35 34 58 58 50 111 95 64 44 13 5 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 15 43 45 31 8 1 0 0 0 0 0 0 0 0 0 0 - 2007 7 5 3 2 56 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 10 11 27 64 56 122 133 70 48 16 6 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 11 31 24 14 8 0 0 0 0 0 0 0 0 0 0 0 - 2008 7 5 3 2 106 0 0 0 0 0 0 0 0 0 1 0 3 5 19 21 12 22 7 27 38 42 75 63 46 29 6 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 7 28 44 56 105 65 38 19 1 0 0 0 0 0 0 0 0 0 0 - 2009 7 5 3 2 35 0 0 0 0 0 0 0 0 0 1 0 3 6 8 7 8 8 4 11 12 11 1 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 6 26 13 32 35 27 21 5 0 0 0 0 0 0 0 0 0 0 0 + 2003 7 5 3 0 18 0 0 0 0 0 0 0 0 0 0 0 0 2 1 1 1 1 3 5 4 13 11 11 2 9 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 6 2 7 8 4 1 0 2 0 0 0 0 0 0 0 0 0 + 2004 7 5 3 0 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 3 8 7 13 20 16 9 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 4 1 4 1 0 0 0 0 0 0 0 0 0 0 0 + 2006 7 5 3 0 71 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 6 35 34 58 58 50 111 95 64 44 13 5 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 15 43 45 31 8 1 0 0 0 0 0 0 0 0 0 0 + 2007 7 5 3 0 56 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 10 11 27 64 56 122 133 70 48 16 6 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 11 31 24 14 8 0 0 0 0 0 0 0 0 0 0 0 + 2008 7 5 3 0 106 0 0 0 0 0 0 0 0 0 1 0 3 5 19 21 12 22 7 27 38 42 75 63 46 29 6 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 7 28 44 56 105 65 38 19 1 0 0 0 0 0 0 0 0 0 0 + 2009 7 5 3 0 35 0 0 0 0 0 0 0 0 0 1 0 3 6 8 7 8 8 4 11 12 11 1 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 6 26 13 32 35 27 21 5 0 0 0 0 0 0 0 0 0 0 0 2003 7 6 0 0 35 0 0 0 6 5 68 368 290 855 514 314 517 205 212 73 116 143 7 20 3 15 4 15 7 7 9 1 1 0 0 0 0 0 0 6 5 68 368 290 855 514 314 517 205 212 73 116 143 7 20 3 15 4 15 7 7 9 1 1 0 0 0 2004 7 6 0 0 21 0 0 0 0 0 1 11 31 134 194 61 245 84 195 63 86 95 15 58 17 13 1 4 1 0 3 1 0 0 0 0 0 0 0 0 0 1 11 31 134 194 61 245 84 195 63 86 95 15 58 17 13 1 4 1 0 3 1 0 0 0 0 2006 7 6 3 0 572 0 0 0 0 0 0 1 1 8 19 27 43 67 61 57 41 36 16 24 11 15 11 6 3 2 1 0 0 0 0 0 0 0 0 0 0 1 0 1 5 21 25 37 42 75 80 74 52 49 33 7 3 0 1 0 0 0 0 0 0 0 0 diff --git a/models/Spinydogfish_2011/ss.par b/models/Spinydogfish_2011/ss.par index 1a70970..89c3c8c 100644 --- a/models/Spinydogfish_2011/ss.par +++ b/models/Spinydogfish_2011/ss.par @@ -1,4 +1,4 @@ -# Number of parameters = 32 Objective function value = 1206.65674818752 Maximum gradient component = 6.57995033288852e-05 +# Number of parameters = 32 Objective function value = 1206.65524366116 Maximum gradient component = 4.58184815865338e-05 # dummy_parm: 1.00000000000 # MGparm[1]: @@ -44,15 +44,9 @@ # MGparm[21]: 1.00000000000 # MGparm[22]: -1.00000000000 -# MGparm[23]: -1.00000000000 -# MGparm[24]: -1.00000000000 -# MGparm[25]: 0.500000000000 # SR_parm[1]: -9.05312168431 +9.05275203809 # SR_parm[2]: 0.400000000000 # SR_parm[3]: @@ -68,23 +62,23 @@ # Fcast_recruitments: 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 # Q_parm[1]: --0.825502437535 +-0.825116715090 # Q_parm[2]: -0.312773465344 +0.312771901834 # Q_parm[3]: -0.243299798054 +0.243713716304 # Q_parm[4]: -0.470456900091 +0.470453066831 # Q_parm[5]: --0.405813513664 +-0.405369584220 # Q_parm[6]: -0.808004256694 +0.807998038277 # Q_parm[7]: --2.46801165570 +-2.46759575716 # Q_parm[8]: -0.812208549482 +0.812199398065 # Q_parm[9]: --14.0178315958 +-14.0173960224 # Q_parm[10]: 0.100000000000 # Q_parm[11]: @@ -92,11 +86,11 @@ # Q_parm[12]: 0.00000000000 # selparm[1]: -99.8722375863 +99.8722666228 # selparm[2]: -1.00000000000 # selparm[3]: -5.88259381920 +5.88258262060 # selparm[4]: 5.00000000000 # selparm[5]: @@ -104,27 +98,27 @@ # selparm[6]: 9.00000000000 # selparm[7]: -73.3786696383 +73.3796629680 # selparm[8]: -1.00000000000 # selparm[9]: -6.09318738746 +6.09325735532 # selparm[10]: 5.00000000000 # selparm[11]: --3.16734470840 +-3.16735297469 # selparm[12]: 9.00000000000 # selparm[13]: -57.2885650245 +57.2885525068 # selparm[14]: -0.556087857102 +0.556100439982 # selparm[15]: -4.95188680852 +4.95189565951 # selparm[16]: -4.49235537285 +4.49234988173 # selparm[17]: --5.49832965003 +-5.49830109298 # selparm[18]: -999.000000000 # selparm[19]: @@ -132,11 +126,11 @@ # selparm[20]: -1.00000000000 # selparm[21]: -105.009438538 +105.009453313 # selparm[22]: -1.00000000000 # selparm[23]: -5.95832544786 +5.95831557589 # selparm[24]: 5.00000000000 # selparm[25]: @@ -144,11 +138,11 @@ # selparm[26]: 9.00000000000 # selparm[27]: -67.0826933835 +67.0829050036 # selparm[28]: -1.00000000000 # selparm[29]: -5.11044786718 +5.11047102242 # selparm[30]: 5.00000000000 # selparm[31]: @@ -160,11 +154,11 @@ # selparm[34]: -1.00000000000 # selparm[35]: -109.785422455 +109.785355728 # selparm[36]: -1.00000000000 # selparm[37]: -6.08691663244 +6.08689945556 # selparm[38]: 5.00000000000 # selparm[39]: @@ -172,35 +166,35 @@ # selparm[40]: 9.00000000000 # selparm[41]: -57.7786137256 +57.7787969337 # selparm[42]: --8.72471960645 +-8.72471705157 # selparm[43]: -6.59311304819 +6.59313554010 # selparm[44]: -6.46191597972 +6.46194522743 # selparm[45]: -5.00000000000 # selparm[46]: -999.000000000 # selparm[47]: -59.0784569294 +59.0785864350 # selparm[48]: --1.02633578749 +-1.02632298214 # selparm[49]: -5.63833672957 +5.63834307803 # selparm[50]: -4.98179013720 +4.98177880101 # selparm[51]: -5.00000000000 # selparm[52]: -999.000000000 # selparm[53]: -57.1977774304 +57.1980976514 # selparm[54]: -1.00000000000 # selparm[55]: -6.71617589777 +6.71619353738 # selparm[56]: 5.00000000000 # selparm[57]: diff --git a/models/Spinydogfish_2011/ss_summary.sso b/models/Spinydogfish_2011/ss_summary.sso index 7922225..95f15f0 100644 --- a/models/Spinydogfish_2011/ss_summary.sso +++ b/models/Spinydogfish_2011/ss_summary.sso @@ -1,21 +1,21 @@ #V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 Spiny_Dogfish.DAT #_DataFile Spiny_Dogfish.CTL #_Control -Run_Date: Tue Oct 31 17:04:45 2023 -Final_phase: 3 N_iterations: 178 +Run_Date: Wed Nov 1 11:13:53 2023 +Final_phase: 3 N_iterations: 179 #_LIKELIHOOD Label logL*Lambda TOTAL_LogL 1206.66 -Catch 1.88852e-13 -Survey -1.11549 -Mean_body_wt -2.10588 +Catch 1.89016e-13 +Survey -1.11547 +Mean_body_wt -2.10587 Length_comp 1057.07 Recruitment 0 InitEQ_regime 0 Sum_recdevs 0 Forecast_Recruitment 0 Parm_priors 152.803 -Parm_softbounds 0.00750345 +Parm_softbounds 0.00750346 Parm_devs 0 F_Ballpark 0 Crash_Pen 0 @@ -42,13 +42,10 @@ CV_young_Mal_GP_1 0.444534 0 Fix 0.574089 CV_old_Mal_GP_1 -1.43528 0 Fix 0.260787 Wtlen_1_Mal_GP_1 3.4911e-06 0 Fix 3.4911e-06 Wtlen_2_Mal_GP_1 3.0349 0 Fix 0.51745 -RecrDist_GP_1 1 0 Fix 0.5 -RecrDist_Area_1 1 0 Fix 0.5 -RecrDist_month_1 1 0 Fix 0.5 CohortGrowDev 1 0 Fix 0.0909091 FracFemale_GP_1 0.5 0 Fix 0.499999 #_SPAWN_RECR -SR_LN(R0) 9.05312 0.354618 Act 0.105312 +SR_LN(R0) 9.05275 0.354535 Act 0.105275 SR_surv_zfrac 0.4 0 Fix 0.4 SR_surv_Beta 1 0 Fix 0.166667 SR_sigmaR 0.2 0 Fix 0.191919 @@ -98,74 +95,74 @@ ForeRecr_2020 0 0 Fix 0.5 ForeRecr_2021 0 0 Fix 0.5 ForeRecr_2022 0 0 Fix 0.5 #_Catchability -LnQ_base_AFSC_triennial(9) -0.825502 0.400728 Act 0.764541 -Q_extraSD_AFSC_triennial(9) 0.312773 0.0998889 Act 0.312773 -LnQ_base_AFSC_slope(10) 0.2433 0 Fix 0.50811 -Q_extraSD_AFSC_slope(10) 0.470457 0.258397 Act 0.470456 -LnQ_base_NWFSC_shelf_slope(11) -0.405814 0 Fix 0.486473 -Q_extraSD_NWFSC_shelf_slope(11) 0.808004 0.232056 Act 0.808003 -LnQ_base_NWFSC_slope(12) -2.46801 0 Fix 0.417733 -Q_extraSD_NWFSC_slope(12) 0.812209 0.353999 Act 0.812208 -LnQ_base_IPHC(13) -14.0178 0 Fix 0.0327389 +LnQ_base_AFSC_triennial(9) -0.825117 0.400653 Act 0.764574 +Q_extraSD_AFSC_triennial(9) 0.312772 0.0998885 Act 0.312772 +LnQ_base_AFSC_slope(10) 0.243714 0 Fix 0.508124 +Q_extraSD_AFSC_slope(10) 0.470453 0.258396 Act 0.470453 +LnQ_base_NWFSC_shelf_slope(11) -0.40537 0 Fix 0.486488 +Q_extraSD_NWFSC_shelf_slope(11) 0.807998 0.232055 Act 0.807997 +LnQ_base_NWFSC_slope(12) -2.4676 0 Fix 0.417747 +Q_extraSD_NWFSC_slope(12) 0.812199 0.353992 Act 0.812199 +LnQ_base_IPHC(13) -14.0174 0 Fix 0.0327535 Q_extraSD_IPHC(13) 0.1 0 Fix 0.0999999 LnQ_base_AFSC_triennial(9)_dev_se 2 0 Fix 0.999999 LnQ_base_AFSC_triennial(9)_dev_autocorr 0 0 Fix 0.5 #_Selectivity -Size_DblN_peak_TRAWL(1) 99.8722 5.40397 Act 0.798722 +Size_DblN_peak_TRAWL(1) 99.8723 5.40394 Act 0.798723 Size_DblN_top_logit_TRAWL(1) -1 0 Fix 0.5 -Size_DblN_ascend_se_TRAWL(1) 5.88259 0.331796 Act 0.688259 +Size_DblN_ascend_se_TRAWL(1) 5.88258 0.331795 Act 0.688258 Size_DblN_descend_se_TRAWL(1) 5 0 Fix 0.6 Size_DblN_start_logit_TRAWL(1) -5 0 Fix 0 Size_DblN_end_logit_TRAWL(1) 9 0 Fix 1 -Size_DblN_peak_Trawl_Discard(2) 73.3787 2.92763 Act 0.533787 +Size_DblN_peak_Trawl_Discard(2) 73.3797 2.92779 Act 0.533797 Size_DblN_top_logit_Trawl_Discard(2) -1 0 Fix 0.5 -Size_DblN_ascend_se_Trawl_Discard(2) 6.09319 0.218643 Act 0.709319 +Size_DblN_ascend_se_Trawl_Discard(2) 6.09326 0.218649 Act 0.709326 Size_DblN_descend_se_Trawl_Discard(2) 5 0 Fix 0.6 -Size_DblN_start_logit_Trawl_Discard(2) -3.16734 0.278509 Act 0.130904 +Size_DblN_start_logit_Trawl_Discard(2) -3.16735 0.278515 Act 0.130903 Size_DblN_end_logit_Trawl_Discard(2) 9 0 Fix 1 -Size_DblN_peak_MIDWATER(3) 57.2886 1.40421 Act 0.372886 -Size_DblN_top_logit_MIDWATER(3) 0.556088 0.363375 Act 0.655609 -Size_DblN_ascend_se_MIDWATER(3) 4.95189 0.194075 Act 0.595189 -Size_DblN_descend_se_MIDWATER(3) 4.49236 1.5358 Act 0.549235 -Size_DblN_start_logit_MIDWATER(3) -5.49833 1.24199 Act 0.194537 +Size_DblN_peak_MIDWATER(3) 57.2886 1.4042 Act 0.372886 +Size_DblN_top_logit_MIDWATER(3) 0.5561 0.363369 Act 0.65561 +Size_DblN_ascend_se_MIDWATER(3) 4.9519 0.194077 Act 0.59519 +Size_DblN_descend_se_MIDWATER(3) 4.49235 1.53579 Act 0.549235 +Size_DblN_start_logit_MIDWATER(3) -5.4983 1.24201 Act 0.194539 Size_DblN_end_logit_MIDWATER(3) -999 0 Fix 0 SizeSel_P1_A-SHOP(4) 1 0 Fix 0.5 SizeSel_P2_A-SHOP(4) -1 0 Fix 0.5 -Size_DblN_peak_HKL(5) 105.009 2.3193 Act 0.850094 +Size_DblN_peak_HKL(5) 105.009 2.31927 Act 0.850095 Size_DblN_top_logit_HKL(5) -1 0 Fix 0.5 -Size_DblN_ascend_se_HKL(5) 5.95833 0.143746 Act 0.695832 +Size_DblN_ascend_se_HKL(5) 5.95832 0.143744 Act 0.695831 Size_DblN_descend_se_HKL(5) 5 0 Fix 0.6 Size_DblN_start_logit_HKL(5) -5 0 Fix 0 Size_DblN_end_logit_HKL(5) 9 0 Fix 1 -Size_DblN_peak_Hkl_Discard(6) 67.0827 1.39756 Act 0.470827 +Size_DblN_peak_Hkl_Discard(6) 67.0829 1.39759 Act 0.470829 Size_DblN_top_logit_Hkl_Discard(6) -1 0 Fix 0.5 -Size_DblN_ascend_se_Hkl_Discard(6) 5.11045 0.159685 Act 0.611045 +Size_DblN_ascend_se_Hkl_Discard(6) 5.11047 0.159687 Act 0.611047 Size_DblN_descend_se_Hkl_Discard(6) 5 0 Fix 0.6 Size_DblN_start_logit_Hkl_Discard(6) -4.99 0 Fix 0.000714286 Size_DblN_end_logit_Hkl_Discard(6) 9 0 Fix 1 SizeSel_P1_OTHERS(7) 1 0 Fix 0.5 SizeSel_P2_OTHERS(7) -1 0 Fix 0.5 -Size_DblN_peak_RECREATIONAL(8) 109.785 2.20203 Act 0.897854 +Size_DblN_peak_RECREATIONAL(8) 109.785 2.20201 Act 0.897854 Size_DblN_top_logit_RECREATIONAL(8) -1 0 Fix 0.5 -Size_DblN_ascend_se_RECREATIONAL(8) 6.08692 0.143631 Act 0.708692 +Size_DblN_ascend_se_RECREATIONAL(8) 6.0869 0.143631 Act 0.70869 Size_DblN_descend_se_RECREATIONAL(8) 5 0 Fix 0.6 Size_DblN_start_logit_RECREATIONAL(8) -5 0 Fix 0 Size_DblN_end_logit_RECREATIONAL(8) 9 0 Fix 1 -Size_DblN_peak_AFSC_triennial(9) 57.7786 2.61413 Act 0.437048 -Size_DblN_top_logit_AFSC_triennial(9) -8.72472 7.68783 Act 0.02294 -Size_DblN_ascend_se_AFSC_triennial(9) 6.59311 0.300251 Act 0.66207 -Size_DblN_descend_se_AFSC_triennial(9) 6.46192 0.328572 Act 0.49776 +Size_DblN_peak_AFSC_triennial(9) 57.7788 2.61417 Act 0.437051 +Size_DblN_top_logit_AFSC_triennial(9) -8.72472 7.68794 Act 0.0229402 +Size_DblN_ascend_se_AFSC_triennial(9) 6.59314 0.300255 Act 0.662071 +Size_DblN_descend_se_AFSC_triennial(9) 6.46195 0.32858 Act 0.497761 Size_DblN_start_logit_AFSC_triennial(9) -5 0 Fix 0 Size_DblN_end_logit_AFSC_triennial(9) -999 0 Fix 0 -Size_DblN_peak_AFSC_slope(10) 59.0785 1.87676 Act 0.454379 -Size_DblN_top_logit_AFSC_slope(10) -1.02634 0.311114 Act 0.664472 +Size_DblN_peak_AFSC_slope(10) 59.0786 1.87677 Act 0.454381 +Size_DblN_top_logit_AFSC_slope(10) -1.02632 0.311098 Act 0.664473 Size_DblN_ascend_se_AFSC_slope(10) 5.63834 0.195345 Act 0.602396 -Size_DblN_descend_se_AFSC_slope(10) 4.98179 0.87681 Act 0.410694 +Size_DblN_descend_se_AFSC_slope(10) 4.98178 0.876791 Act 0.410693 Size_DblN_start_logit_AFSC_slope(10) -5 0 Fix 0 Size_DblN_end_logit_AFSC_slope(10) -999 0 Fix 0 -Size_DblN_peak_NWFSC_shelf_slope(11) 57.1978 2.33316 Act 0.371978 +Size_DblN_peak_NWFSC_shelf_slope(11) 57.1981 2.3333 Act 0.371981 Size_DblN_top_logit_NWFSC_shelf_slope(11) -1 0 Fix 0.5 -Size_DblN_ascend_se_NWFSC_shelf_slope(11) 6.71618 0.258824 Act 0.771618 +Size_DblN_ascend_se_NWFSC_shelf_slope(11) 6.71619 0.258832 Act 0.771619 Size_DblN_descend_se_NWFSC_shelf_slope(11) 5 0 Fix 0.6 Size_DblN_start_logit_NWFSC_shelf_slope(11) -5 0 Fix 0 Size_DblN_end_logit_NWFSC_shelf_slope(11) 9 0 Fix 1 @@ -227,129 +224,129 @@ LnQ_base_AFSC_triennial(9)_DEVmult_2003 0 0 FIX 0.5 LnQ_base_AFSC_triennial(9)_DEVmult_2004 0 0 FIX 0.5 #_Derived_Quantities #_Spawn_Bio -SSB_Virgin 25571.2 9068.02 -SSB_Initial 25571.2 9068.02 -SSB_1980 25571.2 9068.02 -SSB_1981 25326.1 9069.35 -SSB_1982 25045.7 9070.62 -SSB_1983 24782.5 9071.54 -SSB_1984 24639 9071.81 -SSB_1985 24372.8 9072.35 -SSB_1986 24091.3 9072.62 -SSB_1987 23838 9072.52 -SSB_1988 23606.1 9072.14 -SSB_1989 23341.5 9071.48 -SSB_1990 23113.2 9070.55 -SSB_1991 22872.6 9069.33 -SSB_1992 22709.7 9068.1 -SSB_1993 22594.7 9066.92 -SSB_1994 22473.7 9065.59 -SSB_1995 22408 9064.46 -SSB_1996 22188.6 9062.29 -SSB_1997 21957.2 9059.83 -SSB_1998 21748.8 9057.35 -SSB_1999 21558.6 9054.91 -SSB_2000 21371.4 9052.44 -SSB_2001 21165.2 9049.68 -SSB_2002 20969.7 9046.97 -SSB_2003 20798 9044.54 -SSB_2004 20644.1 9042.35 -SSB_2005 20418.4 9039.12 -SSB_2006 20091.8 9034.34 -SSB_2007 19926.5 9032.16 -SSB_2008 19827 9031.19 -SSB_2009 19645.5 9028.87 -SSB_2010 19570.2 9028.59 -SSB_2011 19471.5 9028 -SSB_2012 19095.9 8824.2 -SSB_2013 18731.2 8625.83 -SSB_2014 18376.8 8432.79 -SSB_2015 18032.5 8245.01 -SSB_2016 17697.9 8062.43 -SSB_2017 17372.9 7884.99 -SSB_2018 17057 7712.66 -SSB_2019 16750.3 7545.38 -SSB_2020 16452.3 7383.13 -SSB_2021 16163 7225.89 -SSB_2022 15882.2 7073.64 +SSB_Virgin 25561.8 9062.54 +SSB_Initial 25561.8 9062.54 +SSB_1980 25561.8 9062.54 +SSB_1981 25316.7 9063.87 +SSB_1982 25036.3 9065.14 +SSB_1983 24773.1 9066.06 +SSB_1984 24629.6 9066.33 +SSB_1985 24363.3 9066.87 +SSB_1986 24081.8 9067.14 +SSB_1987 23828.5 9067.04 +SSB_1988 23596.7 9066.65 +SSB_1989 23332 9066 +SSB_1990 23103.7 9065.07 +SSB_1991 22863.2 9063.85 +SSB_1992 22700.2 9062.62 +SSB_1993 22585.3 9061.44 +SSB_1994 22464.2 9060.11 +SSB_1995 22398.5 9058.98 +SSB_1996 22179.2 9056.81 +SSB_1997 21947.8 9054.35 +SSB_1998 21739.4 9051.87 +SSB_1999 21549.1 9049.43 +SSB_2000 21362 9046.96 +SSB_2001 21155.7 9044.19 +SSB_2002 20960.3 9041.48 +SSB_2003 20788.5 9039.06 +SSB_2004 20634.7 9036.87 +SSB_2005 20409 9033.64 +SSB_2006 20082.4 9028.85 +SSB_2007 19917.1 9026.67 +SSB_2008 19817.6 9025.7 +SSB_2009 19636.1 9023.39 +SSB_2010 19560.8 9023.11 +SSB_2011 19462.1 9022.51 +SSB_2012 19086.7 8818.84 +SSB_2013 18722.2 8620.59 +SSB_2014 18368 8427.67 +SSB_2015 18023.9 8240 +SSB_2016 17689.5 8057.54 +SSB_2017 17364.6 7880.21 +SSB_2018 17049 7707.98 +SSB_2019 16742.4 7540.81 +SSB_2020 16444.6 7378.66 +SSB_2021 16155.5 7221.52 +SSB_2022 15874.8 7069.36 #_Recruitment -Recr_Virgin 8545.17 3030.27 -Recr_Initial 8545.17 3030.27 -Recr_1980 8545.19 3030.27 -Recr_1981 8498.92 3030.62 -Recr_1982 8445.33 3031.21 -Recr_1983 8394.38 3031.96 -Recr_1984 8366.33 3032.42 -Recr_1985 8313.79 3033.46 -Recr_1986 8257.53 3034.77 -Recr_1987 8206.28 3036.11 -Recr_1988 8158.83 3037.47 -Recr_1989 8104.05 3039.22 -Recr_1990 8056.26 3040.84 -Recr_1991 8005.37 3042.7 -Recr_1992 7970.57 3043.99 -Recr_1993 7945.87 3044.89 -Recr_1994 7919.72 3045.88 -Recr_1995 7905.47 3046.34 -Recr_1996 7857.58 3048.35 -Recr_1997 7806.55 3050.63 -Recr_1998 7760.14 3052.78 -Recr_1999 7717.38 3054.85 -Recr_2000 7674.98 3057 -Recr_2001 7627.83 3059.5 -Recr_2002 7582.76 3062.01 -Recr_2003 7542.84 3064.31 -Recr_2004 7506.82 3066.47 -Recr_2005 7453.53 3069.8 -Recr_2006 7375.5 3074.94 -Recr_2007 7335.57 3077.76 -Recr_2008 7311.42 3079.59 -Recr_2009 7267.07 3082.9 -Recr_2010 7248.55 3084.48 -Recr_2011 7224.22 3086.54 -Recr_2012 7130.65 3044.11 -Recr_2013 7038.32 3001.83 -Recr_2014 6947.24 2959.72 -Recr_2015 6857.44 2917.86 -Recr_2016 6768.94 2876.3 -Recr_2017 6681.75 2835.08 -Recr_2018 6595.91 2794.27 -Recr_2019 6511.44 2753.91 -Recr_2020 6428.37 2714.06 -Recr_2021 6346.74 2674.78 -Recr_2022 6266.57 2636.11 +Recr_Virgin 8542.01 3028.44 +Recr_Initial 8542.01 3028.44 +Recr_1980 8542.03 3028.44 +Recr_1981 8495.77 3028.79 +Recr_1982 8442.17 3029.38 +Recr_1983 8391.22 3030.13 +Recr_1984 8363.17 3030.59 +Recr_1985 8310.63 3031.63 +Recr_1986 8254.37 3032.94 +Recr_1987 8203.11 3034.28 +Recr_1988 8155.66 3035.64 +Recr_1989 8100.89 3037.39 +Recr_1990 8053.09 3039.01 +Recr_1991 8002.2 3040.87 +Recr_1992 7967.4 3042.16 +Recr_1993 7942.69 3043.06 +Recr_1994 7916.55 3044.05 +Recr_1995 7902.3 3044.51 +Recr_1996 7854.41 3046.52 +Recr_1997 7803.37 3048.8 +Recr_1998 7756.96 3050.95 +Recr_1999 7714.2 3053.02 +Recr_2000 7671.79 3055.17 +Recr_2001 7624.65 3057.68 +Recr_2002 7579.57 3060.18 +Recr_2003 7539.65 3062.49 +Recr_2004 7503.62 3064.65 +Recr_2005 7450.33 3067.97 +Recr_2006 7372.3 3073.11 +Recr_2007 7332.36 3075.93 +Recr_2008 7308.21 3077.76 +Recr_2009 7263.85 3081.08 +Recr_2010 7245.34 3082.66 +Recr_2011 7221 3084.71 +Recr_2012 7127.48 3042.31 +Recr_2013 7035.19 3000.05 +Recr_2014 6944.16 2957.97 +Recr_2015 6854.4 2916.13 +Recr_2016 6765.94 2874.59 +Recr_2017 6678.8 2833.4 +Recr_2018 6593 2792.61 +Recr_2019 6508.57 2752.27 +Recr_2020 6425.55 2712.45 +Recr_2021 6343.96 2673.18 +Recr_2022 6263.83 2634.54 #_SPR Basis= 1-SPR -SPRratio_1980 0.291348 0.0818687 -SPRratio_1981 0.321808 0.0883441 -SPRratio_1982 0.307834 0.0863843 -SPRratio_1983 0.192603 0.0605112 -SPRratio_1984 0.322863 0.0907486 -SPRratio_1985 0.335082 0.0936156 -SPRratio_1986 0.311772 0.0898792 -SPRratio_1987 0.305569 0.0897538 -SPRratio_1988 0.334518 0.0959486 -SPRratio_1989 0.30889 0.0918281 -SPRratio_1990 0.325754 0.095974 -SPRratio_1991 0.248665 0.079343 -SPRratio_1992 0.195682 0.0656397 -SPRratio_1993 0.207449 0.0691296 -SPRratio_1994 0.142748 0.0502991 -SPRratio_1995 0.326733 0.0982296 -SPRratio_1996 0.344884 0.102595 -SPRratio_1997 0.330309 0.100619 -SPRratio_1998 0.317857 0.0987729 -SPRratio_1999 0.318181 0.0994563 -SPRratio_2000 0.344368 0.105596 -SPRratio_2001 0.339404 0.105415 -SPRratio_2002 0.318828 0.101787 -SPRratio_2003 0.305227 0.0994007 -SPRratio_2004 0.38833 0.116942 -SPRratio_2005 0.483666 0.131159 -SPRratio_2006 0.338998 0.110019 -SPRratio_2007 0.265333 0.0929891 -SPRratio_2008 0.366006 0.116828 -SPRratio_2009 0.24348 0.0880638 -SPRratio_2010 0.278067 0.0978509 +SPRratio_1980 0.291434 0.0818669 +SPRratio_1981 0.3219 0.0883408 +SPRratio_1982 0.307924 0.0863822 +SPRratio_1983 0.192666 0.0605144 +SPRratio_1984 0.322958 0.0907465 +SPRratio_1985 0.33518 0.093613 +SPRratio_1986 0.311866 0.0898785 +SPRratio_1987 0.305663 0.0897542 +SPRratio_1988 0.334619 0.0959474 +SPRratio_1989 0.308986 0.0918292 +SPRratio_1990 0.325855 0.0959744 +SPRratio_1991 0.248748 0.0793477 +SPRratio_1992 0.195751 0.065646 +SPRratio_1993 0.207521 0.0691359 +SPRratio_1994 0.142801 0.0503058 +SPRratio_1995 0.326836 0.0982312 +SPRratio_1996 0.344991 0.102596 +SPRratio_1997 0.330414 0.100622 +SPRratio_1998 0.31796 0.0987767 +SPRratio_1999 0.318286 0.0994606 +SPRratio_2000 0.344479 0.105599 +SPRratio_2001 0.339515 0.105419 +SPRratio_2002 0.318934 0.101793 +SPRratio_2003 0.305331 0.0994077 +SPRratio_2004 0.388453 0.116943 +SPRratio_2005 0.483804 0.131151 +SPRratio_2006 0.339113 0.110026 +SPRratio_2007 0.26543 0.0930007 +SPRratio_2008 0.366129 0.116834 +SPRratio_2009 0.243573 0.0880771 +SPRratio_2010 0.27817 0.0978634 SPRratio_2011 0.546144 0.000330845 SPRratio_2012 0.546144 0.000330845 SPRratio_2013 0.546144 0.000330845 @@ -363,230 +360,230 @@ SPRratio_2020 0.546144 0.000330845 SPRratio_2021 0.546144 0.000330845 SPRratio_2022 0.546144 0.000330845 #_F Basis= _abs_F;_with_F=Exploit(bio) -F_1980 0.0082276 0.00291765 -F_1981 0.00933703 0.00333608 -F_1982 0.0088173 0.00317666 -F_1983 0.00500679 0.00181761 -F_1984 0.00934377 0.00340571 -F_1985 0.00981067 0.00360428 -F_1986 0.00893269 0.00330841 -F_1987 0.00868099 0.00323811 -F_1988 0.00975879 0.00366517 -F_1989 0.00879036 0.00332675 -F_1990 0.0094038 0.00358272 -F_1991 0.00671317 0.00257592 -F_1992 0.00505996 0.00195044 -F_1993 0.00541404 0.00209323 -F_1994 0.00354717 0.00137603 -F_1995 0.00943051 0.00366441 -F_1996 0.0101151 0.00395823 -F_1997 0.00955272 0.00376666 -F_1998 0.00908762 0.00360857 -F_1999 0.00909815 0.0036365 -F_2000 0.0100789 0.00405471 -F_2001 0.00988488 0.00400594 -F_2002 0.00911286 0.00371937 -F_2003 0.00861803 0.00353973 -F_2004 0.0118305 0.00488769 -F_2005 0.0162606 0.00677716 -F_2006 0.00984621 0.00415641 -F_2007 0.0072273 0.00307146 -F_2008 0.0108971 0.00465103 -F_2009 0.00651291 0.0028012 -F_2010 0.0076561 0.00330485 -F_2011 0.0197484 0.000141961 -F_2012 0.0197212 0.000138853 -F_2013 0.019694 0.000136144 -F_2014 0.0196672 0.000133888 -F_2015 0.0196412 0.000132103 -F_2016 0.0196162 0.000130767 -F_2017 0.0195924 0.000129821 -F_2018 0.0195702 0.000129187 -F_2019 0.0195498 0.000128773 -F_2020 0.0195312 0.00012849 -F_2021 0.0195145 0.000128259 -F_2022 0.0194998 0.00012802 +F_1980 0.00823064 0.00291805 +F_1981 0.00934051 0.00333655 +F_1982 0.00882061 0.00317713 +F_1983 0.00500868 0.00181789 +F_1984 0.00934732 0.00340624 +F_1985 0.00981443 0.00360486 +F_1986 0.00893614 0.00330896 +F_1987 0.00868436 0.00323867 +F_1988 0.00976261 0.00366582 +F_1989 0.00879383 0.00332737 +F_1990 0.00940754 0.0035834 +F_1991 0.00671585 0.00257642 +F_1992 0.00506199 0.00195083 +F_1993 0.00541622 0.00209365 +F_1994 0.00354861 0.00137631 +F_1995 0.00943433 0.00366516 +F_1996 0.0101193 0.00395907 +F_1997 0.00955665 0.00376748 +F_1998 0.00909139 0.00360938 +F_1999 0.00910194 0.00363733 +F_2000 0.0100831 0.00405566 +F_2001 0.00988906 0.0040069 +F_2002 0.00911674 0.00372029 +F_2003 0.00862173 0.00354062 +F_2004 0.0118356 0.00488895 +F_2005 0.0162677 0.00677897 +F_2006 0.00985055 0.00415756 +F_2007 0.00723051 0.00307233 +F_2008 0.010902 0.00465237 +F_2009 0.00651584 0.00280203 +F_2010 0.00765955 0.00330583 +F_2011 0.0197483 0.000141957 +F_2012 0.0197211 0.000138847 +F_2013 0.0196939 0.000136136 +F_2014 0.0196672 0.000133879 +F_2015 0.0196411 0.000132093 +F_2016 0.0196161 0.000130756 +F_2017 0.0195924 0.000129811 +F_2018 0.0195702 0.000129177 +F_2019 0.0195498 0.000128763 +F_2020 0.0195312 0.000128481 +F_2021 0.0195145 0.000128251 +F_2022 0.0194998 0.000128013 #_Depletion Basis= 100%*Virgin_Biomass -Bratio_1981 0.990415 0.00345238 -Bratio_1982 0.979449 0.00739136 -Bratio_1983 0.969157 0.0110776 -Bratio_1984 0.963544 0.013079 -Bratio_1985 0.953132 0.0167929 -Bratio_1986 0.942124 0.0207073 -Bratio_1987 0.932219 0.0242163 -Bratio_1988 0.923151 0.0274169 -Bratio_1989 0.912803 0.0310613 -Bratio_1990 0.903874 0.0341911 -Bratio_1991 0.894468 0.0374787 -Bratio_1992 0.888096 0.0396902 -Bratio_1993 0.883599 0.0412381 -Bratio_1994 0.878865 0.0428643 -Bratio_1995 0.876296 0.0437306 -Bratio_1996 0.867719 0.0466871 -Bratio_1997 0.858669 0.0498 -Bratio_1998 0.85052 0.0525929 -Bratio_1999 0.843079 0.0551359 -Bratio_2000 0.83576 0.0576344 -Bratio_2001 0.827694 0.0603864 -Bratio_2002 0.82005 0.062991 -Bratio_2003 0.813335 0.0652775 -Bratio_2004 0.807318 0.0673255 -Bratio_2005 0.798491 0.0703291 -Bratio_2006 0.78572 0.0746708 -Bratio_2007 0.779254 0.0768786 -Bratio_2008 0.775365 0.0782197 -Bratio_2009 0.768267 0.0806461 -Bratio_2010 0.76532 0.08168 -Bratio_2011 0.761462 0.0830251 -Bratio_2012 0.746775 0.0802637 -Bratio_2013 0.732509 0.0775651 -Bratio_2014 0.718651 0.0749311 -Bratio_2015 0.705186 0.0723635 -Bratio_2016 0.692103 0.0698639 -Bratio_2017 0.679391 0.067434 -Bratio_2018 0.667041 0.0650753 -Bratio_2019 0.655044 0.0627893 -Bratio_2020 0.643392 0.0605776 -Bratio_2021 0.632079 0.0584419 -Bratio_2022 0.621097 0.0563838 +Bratio_1981 0.990411 0.00345287 +Bratio_1982 0.979441 0.0073924 +Bratio_1983 0.969146 0.0110792 +Bratio_1984 0.963531 0.0130808 +Bratio_1985 0.953115 0.0167952 +Bratio_1986 0.942103 0.0207102 +Bratio_1987 0.932194 0.0242196 +Bratio_1988 0.923123 0.0274206 +Bratio_1989 0.91277 0.0310654 +Bratio_1990 0.903838 0.0341957 +Bratio_1991 0.894429 0.0374836 +Bratio_1992 0.888054 0.0396954 +Bratio_1993 0.883556 0.0412435 +Bratio_1994 0.878821 0.0428699 +Bratio_1995 0.876251 0.0437363 +Bratio_1996 0.86767 0.0466931 +Bratio_1997 0.858618 0.0498063 +Bratio_1998 0.850465 0.0525995 +Bratio_1999 0.843022 0.0551428 +Bratio_2000 0.8357 0.0576416 +Bratio_2001 0.827632 0.0603938 +Bratio_2002 0.819985 0.0629988 +Bratio_2003 0.813267 0.0652855 +Bratio_2004 0.807248 0.0673337 +Bratio_2005 0.798418 0.0703376 +Bratio_2006 0.785643 0.0746797 +Bratio_2007 0.779174 0.0768878 +Bratio_2008 0.775283 0.0782291 +Bratio_2009 0.768183 0.0806557 +Bratio_2010 0.765235 0.0816898 +Bratio_2011 0.761375 0.083035 +Bratio_2012 0.746691 0.0802733 +Bratio_2013 0.732429 0.0775744 +Bratio_2014 0.718573 0.0749402 +Bratio_2015 0.70511 0.0723723 +Bratio_2016 0.69203 0.0698725 +Bratio_2017 0.679321 0.0674423 +Bratio_2018 0.666973 0.0650834 +Bratio_2019 0.654979 0.0627971 +Bratio_2020 0.64333 0.0605852 +Bratio_2021 0.632018 0.0584493 +Bratio_2022 0.621039 0.0563909 #_Mgmt_Quantity -SSB_unfished 25571.2 9068.02 -Totbio_unfished 110527 39194.7 -SmryBio_unfished 109954 38991.5 -Recr_unfished 8545.17 3030.27 -SSB_Btgt 10228.5 3627.21 -SPR_Btgt 0.768692 7.08688e-17 -annF_Btgt 0.00605316 2.61096e-05 -Dead_Catch_Btgt 304.174 107.027 -SSB_SPR 4.76185e-13 1.68864e-13 -annF_SPR 0.0186078 5.37201e-05 -Dead_Catch_SPR 4.07596e-14 1.4575e-14 -SSB_MSY 12018.8 4262.33 -SPR_MSY 0.792654 1.93994e-05 -annF_MSY 0.00534177 2.38855e-05 -Dead_Catch_MSY 310.418 109.225 -Ret_Catch_MSY 310.418 109.225 -B_MSY/SSB_unfished 0.470011 5.58206e-05 -ForeCatch_2011 1778.9 773.346 -ForeCatch_2012 1749.09 757.844 -ForeCatch_2013 1720.26 742.961 -ForeCatch_2014 1692.38 728.692 -ForeCatch_2015 1665.44 715.029 -ForeCatch_2016 1639.41 701.959 -ForeCatch_2017 1614.26 689.467 -ForeCatch_2018 1589.96 677.533 -ForeCatch_2019 1566.49 666.134 -ForeCatch_2020 1543.79 655.242 -ForeCatch_2021 1521.84 644.827 -ForeCatch_2022 1500.58 634.856 -OFLCatch_2011 1778.9 773.346 -OFLCatch_2012 1749.09 757.844 -OFLCatch_2013 1720.26 742.961 -OFLCatch_2014 1692.38 728.692 -OFLCatch_2015 1665.44 715.029 -OFLCatch_2016 1639.41 701.959 -OFLCatch_2017 1614.26 689.467 -OFLCatch_2018 1589.96 677.533 -OFLCatch_2019 1566.49 666.134 -OFLCatch_2020 1543.79 655.242 -OFLCatch_2021 1521.84 644.827 -OFLCatch_2022 1500.58 634.856 +SSB_unfished 25561.8 9062.54 +Totbio_unfished 110486 39171.1 +SmryBio_unfished 109913 38968 +Recr_unfished 8542.01 3028.44 +SSB_Btgt 10224.7 3625.01 +SPR_Btgt 0.768692 3.04761e-17 +annF_Btgt 0.00605316 2.61074e-05 +Dead_Catch_Btgt 304.062 106.962 +SSB_SPR 4.76361e-13 1.68886e-13 +annF_SPR 0.0186078 5.37151e-05 +Dead_Catch_SPR 4.07747e-14 1.4577e-14 +SSB_MSY 12014.3 4259.75 +SPR_MSY 0.792654 1.9399e-05 +annF_MSY 0.00534177 2.38835e-05 +Dead_Catch_MSY 310.303 109.159 +Ret_Catch_MSY 310.303 109.159 +B_MSY/SSB_unfished 0.470011 5.58194e-05 +ForeCatch_2011 1778.09 772.881 +ForeCatch_2012 1748.29 757.388 +ForeCatch_2013 1719.48 742.514 +ForeCatch_2014 1691.61 728.254 +ForeCatch_2015 1664.69 714.599 +ForeCatch_2016 1638.67 701.538 +ForeCatch_2017 1613.53 689.053 +ForeCatch_2018 1589.25 677.127 +ForeCatch_2019 1565.79 665.735 +ForeCatch_2020 1543.1 654.849 +ForeCatch_2021 1521.16 644.441 +ForeCatch_2022 1499.92 634.476 +OFLCatch_2011 1778.09 772.881 +OFLCatch_2012 1748.29 757.388 +OFLCatch_2013 1719.48 742.514 +OFLCatch_2014 1691.61 728.254 +OFLCatch_2015 1664.69 714.599 +OFLCatch_2016 1638.67 701.538 +OFLCatch_2017 1613.53 689.053 +OFLCatch_2018 1589.25 677.127 +OFLCatch_2019 1565.79 665.735 +OFLCatch_2020 1543.1 654.849 +OFLCatch_2021 1521.16 644.441 +OFLCatch_2022 1499.92 634.476 #_Extra_stdev -ln(SPB)_1980 10.1492 0.354618 -ln(SPB)_1995 10.0172 0.40452 -ln(SPB)_2010 9.88176 0.461345 -SmryBio_Virgin 109954 0.0 -SmryBio_Initial 109954 0.0 -SmryBio_1980 109954 0.0 -SmryBio_1981 109123 0.0 -SmryBio_1982 108212 0.0 -SmryBio_1983 107383 0.0 -SmryBio_1984 106948 0.0 -SmryBio_1985 106097 0.0 -SmryBio_1986 105233 0.0 -SmryBio_1987 104481 0.0 -SmryBio_1988 103761 0.0 -SmryBio_1989 102965 0.0 -SmryBio_1990 102276 0.0 -SmryBio_1991 101546 0.0 -SmryBio_1992 101083 0.0 -SmryBio_1993 100780 0.0 -SmryBio_1994 100447 0.0 -SmryBio_1995 100286 0.0 -SmryBio_1996 99583.4 0.0 -SmryBio_1997 98831.9 0.0 -SmryBio_1998 98143.8 0.0 -SmryBio_1999 97509.6 0.0 -SmryBio_2000 96887.6 0.0 -SmryBio_2001 96188.7 0.0 -SmryBio_2002 95519.7 0.0 -SmryBio_2003 94931.2 0.0 -SmryBio_2004 94393.9 0.0 -SmryBio_2005 93584 0.0 -SmryBio_2006 92411.5 0.0 -SmryBio_2007 91813.7 0.0 -SmryBio_2008 91445.5 0.0 -SmryBio_2009 90770.8 0.0 -SmryBio_2010 90472.3 0.0 -SmryBio_2011 90078.1 0.0 -SmryBio_2012 88691 0.0 -SmryBio_2013 87349.3 0.0 -SmryBio_2014 86050.7 0.0 -SmryBio_2015 84793.1 0.0 -SmryBio_2016 83574.3 0.0 -SmryBio_2017 82391.9 0.0 -SmryBio_2018 81243.9 0.0 -SmryBio_2019 80128.1 0.0 -SmryBio_2020 79042.4 0.0 -SmryBio_2021 77984.9 0.0 -SmryBio_2022 76953.7 0.0 +ln(SPB)_1980 10.1489 0.354535 +ln(SPB)_1995 10.0168 0.404445 +ln(SPB)_2010 9.88128 0.461286 +SmryBio_Virgin 109913 0.0 +SmryBio_Initial 109913 0.0 +SmryBio_1980 109913 0.0 +SmryBio_1981 109082 0.0 +SmryBio_1982 108171 0.0 +SmryBio_1983 107343 0.0 +SmryBio_1984 106907 0.0 +SmryBio_1985 106057 0.0 +SmryBio_1986 105193 0.0 +SmryBio_1987 104440 0.0 +SmryBio_1988 103720 0.0 +SmryBio_1989 102925 0.0 +SmryBio_1990 102235 0.0 +SmryBio_1991 101505 0.0 +SmryBio_1992 101042 0.0 +SmryBio_1993 100740 0.0 +SmryBio_1994 100407 0.0 +SmryBio_1995 100245 0.0 +SmryBio_1996 99542.7 0.0 +SmryBio_1997 98791.3 0.0 +SmryBio_1998 98103.1 0.0 +SmryBio_1999 97468.9 0.0 +SmryBio_2000 96846.9 0.0 +SmryBio_2001 96148 0.0 +SmryBio_2002 95479 0.0 +SmryBio_2003 94890.5 0.0 +SmryBio_2004 94353.2 0.0 +SmryBio_2005 93543.3 0.0 +SmryBio_2006 92370.8 0.0 +SmryBio_2007 91773 0.0 +SmryBio_2008 91404.8 0.0 +SmryBio_2009 90730.1 0.0 +SmryBio_2010 90431.6 0.0 +SmryBio_2011 90037.3 0.0 +SmryBio_2012 88651 0.0 +SmryBio_2013 87310 0.0 +SmryBio_2014 86012.1 0.0 +SmryBio_2015 84755.1 0.0 +SmryBio_2016 83536.8 0.0 +SmryBio_2017 82355.1 0.0 +SmryBio_2018 81207.7 0.0 +SmryBio_2019 80092.4 0.0 +SmryBio_2020 79007.2 0.0 +SmryBio_2021 77950.2 0.0 +SmryBio_2022 76919.5 0.0 #_survey_stdev 0 #_Biomass -TotBio_Virgin 110527 0.0 -TotBio_Initial 110527 0.0 -TotBio_1980 110527 0.0 -TotBio_1981 109693 0.0 -TotBio_1982 108778 0.0 -TotBio_1983 107946 0.0 -TotBio_1984 107509 0.0 -TotBio_1985 106655 0.0 -TotBio_1986 105787 0.0 -TotBio_1987 105031 0.0 -TotBio_1988 104308 0.0 -TotBio_1989 103509 0.0 -TotBio_1990 102816 0.0 -TotBio_1991 102082 0.0 -TotBio_1992 101617 0.0 -TotBio_1993 101313 0.0 -TotBio_1994 100978 0.0 -TotBio_1995 100816 0.0 -TotBio_1996 100110 0.0 -TotBio_1997 99355.4 0.0 -TotBio_1998 98664.2 0.0 -TotBio_1999 98027.1 0.0 -TotBio_2000 97402.3 0.0 -TotBio_2001 96700.2 0.0 -TotBio_2002 96028.2 0.0 -TotBio_2003 95437 0.0 -TotBio_2004 94897.3 0.0 -TotBio_2005 94083.8 0.0 -TotBio_2006 92906.1 0.0 -TotBio_2007 92305.7 0.0 -TotBio_2008 91935.8 0.0 -TotBio_2009 91258.2 0.0 -TotBio_2010 90958.4 0.0 -TotBio_2011 90562.5 0.0 -TotBio_2012 89169.2 0.0 -TotBio_2013 87821.3 0.0 -TotBio_2014 86516.6 0.0 -TotBio_2015 85253 0.0 -TotBio_2016 84028.2 0.0 -TotBio_2017 82840 0.0 -TotBio_2018 81686.2 0.0 -TotBio_2019 80564.7 0.0 -TotBio_2020 79473.5 0.0 -TotBio_2021 78410.5 0.0 -TotBio_2022 77373.9 0.0 +TotBio_Virgin 110486 0.0 +TotBio_Initial 110486 0.0 +TotBio_1980 110486 0.0 +TotBio_1981 109652 0.0 +TotBio_1982 108738 0.0 +TotBio_1983 107905 0.0 +TotBio_1984 107468 0.0 +TotBio_1985 106614 0.0 +TotBio_1986 105746 0.0 +TotBio_1987 104991 0.0 +TotBio_1988 104267 0.0 +TotBio_1989 103468 0.0 +TotBio_1990 102775 0.0 +TotBio_1991 102042 0.0 +TotBio_1992 101576 0.0 +TotBio_1993 101272 0.0 +TotBio_1994 100938 0.0 +TotBio_1995 100775 0.0 +TotBio_1996 100069 0.0 +TotBio_1997 99314.6 0.0 +TotBio_1998 98623.3 0.0 +TotBio_1999 97986.2 0.0 +TotBio_2000 97361.4 0.0 +TotBio_2001 96659.3 0.0 +TotBio_2002 95987.3 0.0 +TotBio_2003 95396.1 0.0 +TotBio_2004 94856.4 0.0 +TotBio_2005 94042.9 0.0 +TotBio_2006 92865.2 0.0 +TotBio_2007 92264.7 0.0 +TotBio_2008 91894.9 0.0 +TotBio_2009 91217.2 0.0 +TotBio_2010 90917.4 0.0 +TotBio_2011 90521.5 0.0 +TotBio_2012 89129 0.0 +TotBio_2013 87781.8 0.0 +TotBio_2014 86477.7 0.0 +TotBio_2015 85214.8 0.0 +TotBio_2016 83990.6 0.0 +TotBio_2017 82803 0.0 +TotBio_2018 81649.8 0.0 +TotBio_2019 80528.9 0.0 +TotBio_2020 79438.1 0.0 +TotBio_2021 78375.7 0.0 +TotBio_2022 77339.6 0.0 TotCatch_Virgin 0 0.0 TotCatch_Initial 0 0.0 TotCatch_1980 904.654 0.0 @@ -620,15 +617,15 @@ TotCatch_2007 663.565 0.0 TotCatch_2008 996.495 0.0 TotCatch_2009 591.183 0.0 TotCatch_2010 692.665 0.0 -TotCatch_2011 1778.9 0.0 -TotCatch_2012 1749.09 0.0 -TotCatch_2013 1720.26 0.0 -TotCatch_2014 1692.38 0.0 -TotCatch_2015 1665.44 0.0 -TotCatch_2016 1639.41 0.0 -TotCatch_2017 1614.26 0.0 -TotCatch_2018 1589.96 0.0 -TotCatch_2019 1566.49 0.0 -TotCatch_2020 1543.79 0.0 -TotCatch_2021 1521.84 0.0 -TotCatch_2022 1500.58 0.0 +TotCatch_2011 1778.09 0.0 +TotCatch_2012 1748.29 0.0 +TotCatch_2013 1719.48 0.0 +TotCatch_2014 1691.61 0.0 +TotCatch_2015 1664.69 0.0 +TotCatch_2016 1638.67 0.0 +TotCatch_2017 1613.53 0.0 +TotCatch_2018 1589.25 0.0 +TotCatch_2019 1565.79 0.0 +TotCatch_2020 1543.1 0.0 +TotCatch_2021 1521.16 0.0 +TotCatch_2022 1499.92 0.0 diff --git a/models/Spinydogfish_2011/warning.sso b/models/Spinydogfish_2011/warning.sso index 154e318..5d85b0e 100644 --- a/models/Spinydogfish_2011/warning.sso +++ b/models/Spinydogfish_2011/warning.sso @@ -1,16 +1,4 @@ -Warning 1 : fishing fleet: 1 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month -Warning 2 : fishing fleet: 2 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month -Warning 3 : fishing fleet: 3 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month -Warning 4 : fishing fleet: 4 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month -Warning 5 : fishing fleet: 5 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month -Warning 6 : fishing fleet: 6 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month -Warning 7 : fishing fleet: 7 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month -Warning 8 : fishing fleet: 8 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month Note 1 Information: Max data length bin: 132 < max pop len bins: 136; so will accumulate larger pop len bins -Note 2 Suggestion: This model has just one settlement event. Changing to recr_dist_method 4 and removing the recruitment distribution parameters at the end of the MG parms section (below growth parameters) will produce identical results and simplify the model. -Warning 9 : fleet: 1 lencomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 4 -Warning 10 : fleet: 3 lencomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 6 -Warning 11 : fleet: 5 lencomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 6 -Warning 12 : Fmsy/mey is <1/3 of Fspr are you sure? check for convergence -Note 3 Information: A revised protocol for the Fcast_yr specification is available and recommended. - 12 warnings and 3 notes +Warning 1 : Fmsy/mey is <1/3 of Fspr are you sure? check for convergence +Note 2 Information: A revised protocol for the Fcast_yr specification is available and recommended. + 1 warning and 2 notes diff --git a/models/growth_timevary/Example_1_control.SS b/models/growth_timevary/Example_1_control.SS index de44a2b..70ed6ad 100644 --- a/models/growth_timevary/Example_1_control.SS +++ b/models/growth_timevary/Example_1_control.SS @@ -13,7 +13,7 @@ #_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. #_Cond 1 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # -2 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) +4 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) 1 # not yet implemented; Future usage: Spawner-Recruitment: 1=global; 2=by area 1 # number of recruitment settlement assignments 0 # unused option @@ -93,9 +93,6 @@ -3 3 0 0 99 0 -50 0 0 0 0 0 0 0 # Eggs/kg_slope_wt_Fem_GP_1 # Hermaphroditism # Recruitment Distribution - 0 2 1 1 99 0 -50 0 0 0 0 0 0 0 # RecrDist_GP_1 - 0 2 1 1 99 0 -50 0 0 0 0 0 0 0 # RecrDist_Area_1 - 0 2 1 1 99 0 -50 0 0 0 0 0 0 0 # RecrDist_month_1 # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement diff --git a/models/growth_timevary/Example_1_data.SS b/models/growth_timevary/Example_1_data.SS index b537c11..eae0cd2 100644 --- a/models/growth_timevary/Example_1_data.SS +++ b/models/growth_timevary/Example_1_data.SS @@ -26,8 +26,8 @@ #_catch_mult: 0=no; 1=yes #_rows are fleets #_fleet_type fishery_timing area catch_units need_catch_mult fleetname - 1 1 1 1 0 Fish1 # 1 - 1 1 1 1 0 Fish2 # 2 + 1 -1 1 1 0 Fish1 # 1 + 1 -1 1 1 0 Fish2 # 2 3 1 1 2 0 Surv1 # 3 3 1 1 2 0 Surv2 # 4 3 1 1 2 0 Surv3 # 5 diff --git a/models/growth_timevary/ss.par b/models/growth_timevary/ss.par index 5936be4..4962205 100644 --- a/models/growth_timevary/ss.par +++ b/models/growth_timevary/ss.par @@ -1,4 +1,4 @@ -# Number of parameters = 44 Objective function value = 412.776107462413 Maximum gradient component = 3.69212857695745e-08 +# Number of parameters = 44 Objective function value = 412.965326503297 Maximum gradient component = 2.75083616705169e-07 # dummy_parm: 1.00000000000 # MGparm[1]: @@ -28,25 +28,19 @@ # MGparm[13]: 1.00000000000 # MGparm[14]: -1.00000000000 +0.500000000000 # MGparm[15]: -1.00000000000 +-0.0764035773567 # MGparm[16]: -1.00000000000 +0.00771182454529 # MGparm[17]: -0.500000000000 -# MGparm[18]: --0.0709507024591 -# MGparm[19]: -0.00947024292408 -# MGparm[20]: -0.0578593696189 +0.0606021105113 # SR_parm[1]: -14.8575885695 +14.8716109842 # SR_parm[2]: -0.793052822929 +0.788539020567 # SR_parm[3]: -1.30000000000 +1.30000000003 # SR_parm[4]: 0.00000000000 # SR_parm[5]: @@ -54,37 +48,37 @@ # recdev1: 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 # Fcast_recruitments: - -9.38804678441e-09 0.00000000000 0.00000000000 0.00000000000 + -6.51425580145e-11 0.00000000000 0.00000000000 0.00000000000 # Fcast_impl_error: 0.00000000000 0.00000000000 0.00000000000 # Q_parm[1]: --0.353137981695 +-0.351475240754 # Q_parm[2]: --9.19354902047 +-9.18156962608 # Q_parm[3]: --10.2797495062 +-10.2872957776 # Q_parm[4]: 2.00000000000 # Q_parm[5]: 0.00000000000 # selparm[1]: -6.28270390316 +6.19130439544 # selparm[2]: -2.00000000000 # selparm[3]: -3.24193452244 +3.08033337794 # selparm[4]: 8.00000000000 # selparm[5]: -1002.00000000 # selparm[6]: --0.179686782224 +-0.151863943660 # selparm[7]: -10.2298595538 +10.2148779107 # selparm[8]: -2.00000000000 # selparm[9]: -2.22940946236 +2.23696598484 # selparm[10]: 8.00000000000 # selparm[11]: @@ -112,55 +106,55 @@ # selparm[22]: 1.00000000000 # selparm[23]: -2.35202367574 +2.35880936332 # selparm[24]: --0.433101673693 +-0.439871700117 # selparm[25]: -0.463825251528 +0.0528958672941 # selparm[26]: --1.22821840597 +-1.20462497771 # selparm[27]: --1.42618557858 +-1.41849051915 # selparm[28]: -0.530781050984 +0.301745758337 # selparm[29]: -1.79036306699 +1.66589445916 # selparm[30]: --0.0612800768242 +0.0823812984643 # selparm[31]: -0.564061156078 +0.726312661975 # selparm[32]: --0.242396467842 +-0.0889143855413 # selparm[33]: --0.884357321259 +-0.704101772146 # selparm[34]: --1.13954833533 +-0.962939241724 # selparm[35]: -0.0848175652238 +0.176497824268 # selparm[36]: -0.642386673048 +0.825203256033 # selparm[37]: --0.471620555668 +-0.432932780497 # selparm[38]: -0.952970998473 +0.933610050231 # selparm[39]: --3.86797523978 +-3.87013705099 # selparm[40]: --3.21905621279 +-3.23802004937 # selparm[41]: --3.21280235604 +-3.22972220838 # selparm[42]: --4.48761787240 +-4.54188306331 # selparm[43]: --3.54603729247 +-3.62094191928 # selparm[44]: -1.45229121709 +1.45033703089 # selparm[45]: -0.377247340141 +0.390567112947 # selparm[46]: -0.0236922084497 +0.0106362855207 # selparm[47]: -0.313529372228 +0.307062330709 # parm_dev[1]: 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 # checksum999: diff --git a/models/growth_timevary/ss_summary.sso b/models/growth_timevary/ss_summary.sso index cbe1bb4..264e7d7 100644 --- a/models/growth_timevary/ss_summary.sso +++ b/models/growth_timevary/ss_summary.sso @@ -1,18 +1,18 @@ #V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 Example_1_data.SS #_DataFile Example_1_control.SS #_Control -Run_Date: Tue Oct 31 16:38:35 2023 -Final_phase: 6 N_iterations: 246 +Run_Date: Wed Nov 1 09:31:26 2023 +Final_phase: 6 N_iterations: 326 #_LIKELIHOOD Label logL*Lambda -TOTAL_LogL 412.776 -Survey -5.43203 -Age_comp 417.968 +TOTAL_LogL 412.965 +Survey -5.5073 +Age_comp 418.181 Recruitment 0 InitEQ_regime 0 -Sum_recdevs -9.38805e-09 -Forecast_Recruitment 2.60756e-17 -Parm_priors 0.239765 +Sum_recdevs -6.51426e-11 +Forecast_Recruitment 1.25549e-21 +Parm_priors 0.291496 Parm_softbounds 0 Parm_devs 0 F_Ballpark 0 @@ -32,17 +32,14 @@ Mat50%_Fem_GP_1 36.89 0 Fix 0.867174 Mat_slope_Fem_GP_1 -0.48 0 Fix 0.42 Eggs/kg_inter_Fem_GP_1 1 0 Fix 0.666667 Eggs/kg_slope_wt_Fem_GP_1 0 0 Fix 0.5 -RecrDist_GP_1 1 0 Fix 0.5 -RecrDist_Area_1 1 0 Fix 0.5 -RecrDist_month_1 1 0 Fix 0.5 CohortGrowDev 1 0 Fix 0.0909091 FracFemale_GP_1 0.5 0 Fix 0.499999 -L_at_Amax_Fem_GP_1_BLK1mult_1984 -0.0709507 0.061001 Act 0.441454 -VonBert_K_Fem_GP_1_BLK2mult_1980 0.00947024 0.251503 Act 0.68975 -VonBert_K_Fem_GP_1_BLK2mult_1999 0.0578594 0.229885 Act 0.719816 +L_at_Amax_Fem_GP_1_BLK1mult_1984 -0.0764036 0.0614072 Act 0.430222 +VonBert_K_Fem_GP_1_BLK2mult_1980 0.00771182 0.251888 Act 0.688657 +VonBert_K_Fem_GP_1_BLK2mult_1999 0.0606021 0.231892 Act 0.72152 #_SPAWN_RECR -SR_LN(R0) 14.8576 0.142465 Act 0.476265 -SR_BH_steep 0.793053 0.126811 Act 0.741315 +SR_LN(R0) 14.8716 0.143703 Act 0.478602 +SR_BH_steep 0.788539 0.127692 Act 0.735673 SR_sigmaR 1.3 164.317 Act 0.499999 SR_regime 0 0 Fix 0.5 SR_autocorr 0 0 Fix 0 @@ -93,7 +90,7 @@ Main_RecrDev_2005 0 0 Fix 0.5 Main_RecrDev_2006 0 0 Fix 0.5 Main_RecrDev_2007 0 0 Fix 0.5 Main_RecrDev_2008 0 0 Fix 0.5 -Late_RecrDev_2009 -9.38805e-09 1.3 Act 0.5 +Late_RecrDev_2009 -6.51426e-11 1.3 Act 0.5 ForeRecr_2010 0 1.3 Act 0.5 ForeRecr_2011 0 1.3 Act 0.5 ForeRecr_2012 0 1.3 Act 0.5 @@ -101,21 +98,21 @@ Impl_err_2010 0 0.1 Act 0.5 Impl_err_2011 0 0.1 Act 0.5 Impl_err_2012 0 0.1 Act 0.5 #_Catchability -LnQ_base_Surv1(3) -0.353138 0.137469 Act 0.803905 -LnQ_base_Surv2(4) -9.19355 0 Fix 0.193548 -LnQ_base_Surv7(9) -10.2797 0 Fix 0.157342 +LnQ_base_Surv1(3) -0.351475 0.141916 Act 0.804044 +LnQ_base_Surv2(4) -9.18157 0 Fix 0.193948 +LnQ_base_Surv7(9) -10.2873 0 Fix 0.15709 LnQ_base_Surv1(3)_dev_se 2 0 Fix 0.999999 LnQ_base_Surv1(3)_dev_autocorr 0 0 Fix 0.5 #_Selectivity -Age_DblN_peak_Fish1(1) 6.2827 1.70752 Act 0.329439 +Age_DblN_peak_Fish1(1) 6.1913 1.72231 Act 0.322408 Age_DblN_top_logit_Fish1(1) -2 0 Fix 0.583333 -Age_DblN_ascend_se_Fish1(1) 3.24193 1.27255 Act 0.517281 +Age_DblN_ascend_se_Fish1(1) 3.08033 1.61706 Act 0.505738 Age_DblN_descend_se_Fish1(1) 8 0 Fix 0.708333 Age_DblN_start_logit_Fish1(1) -1002 0 Fix 0.497756 -Age_DblN_end_logit_Fish1(1) -0.179687 0.640919 Act 0.321354 -Age_DblN_peak_Fish2(2) 10.2299 1.82596 Act 0.633066 +Age_DblN_end_logit_Fish1(1) -0.151864 0.637758 Act 0.323209 +Age_DblN_peak_Fish2(2) 10.2149 1.85733 Act 0.631914 Age_DblN_top_logit_Fish2(2) -2 0 Fix 0.583333 -Age_DblN_ascend_se_Fish2(2) 2.22941 0.349182 Act 0.248789 +Age_DblN_ascend_se_Fish2(2) 2.23697 0.350175 Act 0.249233 Age_DblN_descend_se_Fish2(2) 8 0 Fix 0.708333 Age_DblN_start_logit_Fish2(2) -1002 0 Fix 0.497756 Age_DblN_end_logit_Fish2(2) 4.999 0 Fix 0.9999 @@ -129,31 +126,31 @@ Age_DblN_start_logit_Surv3(5) -8 0 Fix 0.133333 Age_DblN_end_logit_Surv3(5) 4.99 0 Fix 0.999 minage@sel=1_Surv7(9) 1 0 Fix 0.5 maxage@sel=1_Surv7(9) 1 0 Fix 0.5 -Age_DblN_peak_Fish1(1)_BLK3add_1981 2.35202 2.30431 Act 0.617601 -Age_DblN_peak_Fish1(1)_BLK3add_1985 -0.433102 2.29554 Act 0.478345 -Age_DblN_peak_Fish1(1)_BLK3add_1989 0.463825 3.31594 Act 0.523191 -Age_DblN_peak_Fish1(1)_BLK3add_1993 -1.22822 2.11574 Act 0.438589 -Age_DblN_peak_Fish1(1)_BLK3add_1997 -1.42619 1.98678 Act 0.428691 -Age_DblN_peak_Fish1(1)_BLK3add_2001 0.530781 3.45444 Act 0.526539 -Age_DblN_peak_Fish1(1)_BLK3add_2005 1.79036 4.03125 Act 0.589518 -Age_DblN_ascend_se_Fish1(1)_BLK4add_1960 -0.0612801 1.50889 Act 0.496936 -Age_DblN_ascend_se_Fish1(1)_BLK4add_1981 0.564061 1.37541 Act 0.528203 -Age_DblN_ascend_se_Fish1(1)_BLK4add_1985 -0.242396 1.53725 Act 0.48788 -Age_DblN_ascend_se_Fish1(1)_BLK4add_1993 -0.884357 1.55213 Act 0.455782 -Age_DblN_ascend_se_Fish1(1)_BLK4add_1997 -1.13955 1.48274 Act 0.443023 -Age_DblN_ascend_se_Fish1(1)_BLK4add_2001 0.0848176 1.70798 Act 0.504241 -Age_DblN_ascend_se_Fish1(1)_BLK4add_2005 0.642387 1.62163 Act 0.532119 -Age_DblN_end_logit_Fish1(1)_BLK5add_1984 -0.471621 0.859959 Act 0.476419 -Age_DblN_peak_Fish2(2)_BLK6add_1981 0.952971 0.758111 Act 0.547649 -Age_DblN_peak_Fish2(2)_BLK6add_1985 -3.86798 1.89913 Act 0.306601 -Age_DblN_peak_Fish2(2)_BLK6add_1989 -3.21906 1.86502 Act 0.339047 -Age_DblN_peak_Fish2(2)_BLK6add_1993 -3.2128 1.86529 Act 0.33936 -Age_DblN_peak_Fish2(2)_BLK6add_2001 -4.48762 2.05388 Act 0.275619 -Age_DblN_peak_Fish2(2)_BLK6add_2005 -3.54604 2.04002 Act 0.322698 -Age_DblN_ascend_se_Fish2(2)_BLK7add_1960 1.45229 0.546476 Act 0.572615 -Age_DblN_ascend_se_Fish2(2)_BLK7add_1989 0.377247 0.431796 Act 0.518862 -Age_DblN_ascend_se_Fish2(2)_BLK7add_2001 0.0236922 0.658616 Act 0.501185 -Age_DblN_ascend_se_Fish2(2)_BLK7add_2005 0.313529 0.519435 Act 0.515676 +Age_DblN_peak_Fish1(1)_BLK3add_1981 2.35881 2.30416 Act 0.61794 +Age_DblN_peak_Fish1(1)_BLK3add_1985 -0.439872 2.28565 Act 0.478006 +Age_DblN_peak_Fish1(1)_BLK3add_1989 0.0528959 3.63313 Act 0.502645 +Age_DblN_peak_Fish1(1)_BLK3add_1993 -1.20462 2.06828 Act 0.439769 +Age_DblN_peak_Fish1(1)_BLK3add_1997 -1.41849 1.98475 Act 0.429075 +Age_DblN_peak_Fish1(1)_BLK3add_2001 0.301746 3.68564 Act 0.515087 +Age_DblN_peak_Fish1(1)_BLK3add_2005 1.66589 2.85892 Act 0.583295 +Age_DblN_ascend_se_Fish1(1)_BLK4add_1960 0.0823813 1.81825 Act 0.504119 +Age_DblN_ascend_se_Fish1(1)_BLK4add_1981 0.726313 1.69717 Act 0.536316 +Age_DblN_ascend_se_Fish1(1)_BLK4add_1985 -0.0889144 1.83348 Act 0.495554 +Age_DblN_ascend_se_Fish1(1)_BLK4add_1993 -0.704102 1.82401 Act 0.464795 +Age_DblN_ascend_se_Fish1(1)_BLK4add_1997 -0.962939 1.78875 Act 0.451853 +Age_DblN_ascend_se_Fish1(1)_BLK4add_2001 0.176498 2.08407 Act 0.508825 +Age_DblN_ascend_se_Fish1(1)_BLK4add_2005 0.825203 1.75608 Act 0.54126 +Age_DblN_end_logit_Fish1(1)_BLK5add_1984 -0.432933 0.856811 Act 0.478353 +Age_DblN_peak_Fish2(2)_BLK6add_1981 0.93361 0.761342 Act 0.54668 +Age_DblN_peak_Fish2(2)_BLK6add_1985 -3.87014 1.9293 Act 0.306493 +Age_DblN_peak_Fish2(2)_BLK6add_1989 -3.23802 1.89214 Act 0.338099 +Age_DblN_peak_Fish2(2)_BLK6add_1993 -3.22972 1.8932 Act 0.338514 +Age_DblN_peak_Fish2(2)_BLK6add_2001 -4.54188 2.07234 Act 0.272906 +Age_DblN_peak_Fish2(2)_BLK6add_2005 -3.62094 2.04063 Act 0.318953 +Age_DblN_ascend_se_Fish2(2)_BLK7add_1960 1.45034 0.554832 Act 0.572517 +Age_DblN_ascend_se_Fish2(2)_BLK7add_1989 0.390567 0.431574 Act 0.519528 +Age_DblN_ascend_se_Fish2(2)_BLK7add_2001 0.0106363 0.664562 Act 0.500532 +Age_DblN_ascend_se_Fish2(2)_BLK7add_2005 0.307062 0.515702 Act 0.515353 #_Parm_Dev LnQ_base_Surv1(3)_DEVmult_1977 0 0 FIX 0.5 LnQ_base_Surv1(3)_DEVmult_1978 0 0 FIX 0.5 @@ -188,400 +185,400 @@ LnQ_base_Surv1(3)_DEVmult_2006 0 0 FIX 0.5 LnQ_base_Surv1(3)_DEVmult_2007 0 0 FIX 0.5 #_Derived_Quantities #_Spawn_Bio -SSB_Virgin 4.11726e+06 586564 -SSB_Initial 4.11726e+06 586564 -SSB_1960 4.11726e+06 586564 -SSB_1961 4.11726e+06 586564 -SSB_1962 4.11726e+06 586564 -SSB_1963 4.11726e+06 586564 -SSB_1964 4.11726e+06 586564 -SSB_1965 4.11726e+06 586564 -SSB_1966 4.11726e+06 586564 -SSB_1967 3.99209e+06 586553 -SSB_1968 3.80977e+06 586162 -SSB_1969 3.73457e+06 585499 -SSB_1970 3.6229e+06 585012 -SSB_1971 3.47913e+06 584604 -SSB_1972 3.42696e+06 584277 -SSB_1973 3.41837e+06 584205 -SSB_1974 3.37353e+06 584396 -SSB_1975 3.28899e+06 584694 -SSB_1976 3.2046e+06 585026 -SSB_1977 3.11647e+06 585433 -SSB_1978 3.13479e+06 585990 -SSB_1979 3.18218e+06 586743 -SSB_1980 3.19566e+06 587622 -SSB_1981 3.25469e+06 581156 -SSB_1982 3.26191e+06 589321 -SSB_1983 3.29568e+06 598311 -SSB_1984 3.3205e+06 605733 -SSB_1985 3.0734e+06 421512 -SSB_1986 2.94405e+06 327852 -SSB_1987 2.77913e+06 291394 -SSB_1988 2.62745e+06 218767 -SSB_1989 2.49258e+06 188999 -SSB_1990 2.33137e+06 180221 -SSB_1991 2.23444e+06 179325 -SSB_1992 2.11213e+06 181088 -SSB_1993 2.01466e+06 184103 -SSB_1994 2.01537e+06 189564 -SSB_1995 1.87773e+06 192122 -SSB_1996 1.84932e+06 197141 -SSB_1997 1.77831e+06 201316 -SSB_1998 1.69728e+06 205517 -SSB_1999 1.62938e+06 210059 -SSB_2000 1.59766e+06 205024 -SSB_2001 1.63489e+06 219892 -SSB_2002 1.6614e+06 235179 -SSB_2003 1.72776e+06 250240 -SSB_2004 1.76788e+06 263328 -SSB_2005 1.68964e+06 271660 -SSB_2006 1.59596e+06 278968 -SSB_2007 1.51142e+06 285027 -SSB_2008 1.49138e+06 292869 -SSB_2009 1.45395e+06 300446 -SSB_2010 1.54294e+06 313142 -SSB_2011 1.66397e+06 266945 -SSB_2012 1.71093e+06 430100 +SSB_Virgin 4.1754e+06 600018 +SSB_Initial 4.1754e+06 600018 +SSB_1960 4.1754e+06 600018 +SSB_1961 4.1754e+06 600018 +SSB_1962 4.1754e+06 600018 +SSB_1963 4.1754e+06 600018 +SSB_1964 4.1754e+06 600018 +SSB_1965 4.1754e+06 600018 +SSB_1966 4.1754e+06 600018 +SSB_1967 4.05025e+06 600004 +SSB_1968 3.86785e+06 599627 +SSB_1969 3.79249e+06 598995 +SSB_1970 3.68069e+06 598531 +SSB_1971 3.53678e+06 598147 +SSB_1972 3.4844e+06 597857 +SSB_1973 3.47562e+06 597818 +SSB_1974 3.43062e+06 598032 +SSB_1975 3.34591e+06 598356 +SSB_1976 3.26132e+06 598719 +SSB_1977 3.17301e+06 599160 +SSB_1978 3.19111e+06 599758 +SSB_1979 3.23833e+06 600540 +SSB_1980 3.25168e+06 601440 +SSB_1981 3.30981e+06 595154 +SSB_1982 3.3165e+06 603466 +SSB_1983 3.34992e+06 612580 +SSB_1984 3.37449e+06 620102 +SSB_1985 3.10782e+06 430662 +SSB_1986 2.96557e+06 333923 +SSB_1987 2.79254e+06 296220 +SSB_1988 2.6361e+06 225481 +SSB_1989 2.49765e+06 196997 +SSB_1990 2.33384e+06 188810 +SSB_1991 2.23417e+06 188210 +SSB_1992 2.10956e+06 190062 +SSB_1993 2.00995e+06 193104 +SSB_1994 2.00835e+06 198708 +SSB_1995 1.86967e+06 201217 +SSB_1996 1.83959e+06 206377 +SSB_1997 1.76742e+06 210659 +SSB_1998 1.68545e+06 214971 +SSB_1999 1.61645e+06 219686 +SSB_2000 1.58425e+06 214933 +SSB_2001 1.62038e+06 229471 +SSB_2002 1.64565e+06 244555 +SSB_2003 1.71064e+06 259666 +SSB_2004 1.7498e+06 272854 +SSB_2005 1.6714e+06 281145 +SSB_2006 1.57771e+06 288436 +SSB_2007 1.49288e+06 294660 +SSB_2008 1.47205e+06 302857 +SSB_2009 1.43404e+06 310815 +SSB_2010 1.52148e+06 324200 +SSB_2011 1.66163e+06 273196 +SSB_2012 1.72015e+06 430753 #_Recruitment -Recr_Virgin 2.8351e+06 403902 -Recr_Initial 2.8351e+06 403902 -Recr_1960 2.8351e+06 403902 -Recr_1961 2.8351e+06 403902 -Recr_1962 2.8351e+06 403902 -Recr_1963 2.8351e+06 403902 -Recr_1964 2.8351e+06 403902 -Recr_1965 2.8351e+06 403902 -Recr_1966 2.8351e+06 403902 -Recr_1967 2.82931e+06 403963 -Recr_1968 2.82025e+06 404233 -Recr_1969 2.81628e+06 404399 -Recr_1970 2.81009e+06 404774 -Recr_1971 2.80158e+06 405480 -Recr_1972 2.79833e+06 405799 -Recr_1973 2.79779e+06 405865 -Recr_1974 2.79491e+06 406215 -Recr_1975 2.78928e+06 406957 -Recr_1976 2.78339e+06 407834 -Recr_1977 2.77693e+06 408916 -Recr_1978 2.7783e+06 408747 -Recr_1979 2.78178e+06 408256 -Recr_1980 2.78275e+06 408182 -Recr_1981 2.78692e+06 406337 -Recr_1982 2.78742e+06 405667 -Recr_1983 2.78973e+06 405050 -Recr_1984 2.79141e+06 404653 -Recr_1985 2.77365e+06 391617 -Recr_1986 2.76326e+06 381097 -Recr_1987 2.74876e+06 373399 -Recr_1988 2.73397e+06 368586 -Recr_1989 2.71946e+06 364655 -Recr_1990 2.70016e+06 361336 -Recr_1991 2.68737e+06 358575 -Recr_1992 2.66976e+06 356469 -Recr_1993 2.65438e+06 354991 -Recr_1994 2.6545e+06 353278 -Recr_1995 2.63043e+06 353537 -Recr_1996 2.62508e+06 353004 -Recr_1997 2.61106e+06 353708 -Recr_1998 2.59384e+06 355503 -Recr_1999 2.57828e+06 357853 -Recr_2000 2.57063e+06 358786 -Recr_2001 2.57958e+06 357947 -Recr_2002 2.58575e+06 357714 -Recr_2003 2.60048e+06 355990 -Recr_2004 2.60892e+06 355236 -Recr_2005 2.59214e+06 358435 -Recr_2006 2.57021e+06 363352 -Recr_2007 2.54846e+06 369099 -Recr_2008 2.543e+06 371208 -Recr_2009 2.53247e+06 3.31353e+06 -Recr_2010 2.55681e+06 3.34432e+06 -Recr_2011 2.58634e+06 3.38516e+06 -Recr_2012 2.59683e+06 3.40077e+06 +Recr_Virgin 2.87514e+06 413166 +Recr_Initial 2.87514e+06 413166 +Recr_1960 2.87514e+06 413166 +Recr_1961 2.87514e+06 413166 +Recr_1962 2.87514e+06 413166 +Recr_1963 2.87514e+06 413166 +Recr_1964 2.87514e+06 413166 +Recr_1965 2.87514e+06 413166 +Recr_1966 2.87514e+06 413166 +Recr_1967 2.86919e+06 413241 +Recr_1968 2.85989e+06 413538 +Recr_1969 2.85581e+06 413717 +Recr_1970 2.84946e+06 414113 +Recr_1971 2.84075e+06 414850 +Recr_1972 2.83741e+06 415183 +Recr_1973 2.83684e+06 415254 +Recr_1974 2.83389e+06 415619 +Recr_1975 2.82813e+06 416384 +Recr_1976 2.82211e+06 417287 +Recr_1977 2.81551e+06 418398 +Recr_1978 2.81689e+06 418232 +Recr_1979 2.82042e+06 417734 +Recr_1980 2.8214e+06 417661 +Recr_1981 2.8256e+06 415798 +Recr_1982 2.82607e+06 415127 +Recr_1983 2.82841e+06 414502 +Recr_1984 2.8301e+06 414099 +Recr_1985 2.81041e+06 400597 +Recr_1986 2.79859e+06 389540 +Recr_1987 2.78275e+06 381445 +Recr_1988 2.76682e+06 376339 +Recr_1989 2.75124e+06 372224 +Recr_1990 2.73068e+06 368859 +Recr_1991 2.71687e+06 366049 +Recr_1992 2.69801e+06 364007 +Recr_1993 2.68146e+06 362644 +Recr_1994 2.68118e+06 360863 +Recr_1995 2.65558e+06 361512 +Recr_1996 2.64959e+06 361106 +Recr_1997 2.6345e+06 362161 +Recr_1998 2.61604e+06 364478 +Recr_1999 2.59927e+06 367407 +Recr_2000 2.59103e+06 368439 +Recr_2001 2.60026e+06 367434 +Recr_2002 2.60651e+06 367210 +Recr_2003 2.62187e+06 365196 +Recr_2004 2.63066e+06 364314 +Recr_2005 2.61272e+06 368200 +Recr_2006 2.58932e+06 374073 +Recr_2007 2.56602e+06 380878 +Recr_2008 2.55996e+06 383457 +Recr_2009 2.54852e+06 3.33576e+06 +Recr_2010 2.57411e+06 3.36805e+06 +Recr_2011 2.61038e+06 3.41753e+06 +Recr_2012 2.62404e+06 3.43721e+06 #_SPR Basis= (1-SPR)/(1-SPR_40%) -SPRratio_1966 0.273573 0.0325177 -SPRratio_1967 0.400381 0.0445818 -SPRratio_1968 0.249228 0.0314962 -SPRratio_1969 0.351045 0.0420249 -SPRratio_1970 0.454201 0.0529665 -SPRratio_1971 0.339778 0.0454213 -SPRratio_1972 0.267403 0.037877 -SPRratio_1973 0.360663 0.0485452 -SPRratio_1974 0.450243 0.0577952 -SPRratio_1975 0.475636 0.0615483 -SPRratio_1976 0.512971 0.0665017 -SPRratio_1977 0.326481 0.0494284 -SPRratio_1978 0.261608 0.0410117 -SPRratio_1979 0.328192 0.0487552 -SPRratio_1980 0.224965 0.0353247 -SPRratio_1981 0.319257 0.046922 -SPRratio_1982 0.254458 0.0404947 -SPRratio_1983 0.26358 0.04261 -SPRratio_1984 0.317114 0.0464933 -SPRratio_1985 0.287046 0.0315169 -SPRratio_1986 0.503274 0.0443948 -SPRratio_1987 0.562888 0.0473815 -SPRratio_1988 0.604837 0.0371774 -SPRratio_1989 0.709178 0.0344815 -SPRratio_1990 0.661654 0.0330451 -SPRratio_1991 0.750418 0.0347743 -SPRratio_1992 0.755392 0.0358157 -SPRratio_1993 0.598791 0.0335416 -SPRratio_1994 0.865733 0.0370218 -SPRratio_1995 0.722049 0.0389211 -SPRratio_1996 0.820371 0.0410385 -SPRratio_1997 0.864305 0.0432565 -SPRratio_1998 0.877018 0.0463464 -SPRratio_1999 0.878892 0.0480306 -SPRratio_2000 0.745481 0.0512939 -SPRratio_2001 0.745568 0.0573068 -SPRratio_2002 0.623368 0.0581264 -SPRratio_2003 0.657214 0.061596 -SPRratio_2004 0.870729 0.0685522 -SPRratio_2005 0.924522 0.0704531 -SPRratio_2006 0.9514 0.0762619 -SPRratio_2007 0.884439 0.0838864 -SPRratio_2008 0.928322 0.0872446 -SPRratio_2009 0.662357 0.0884377 -SPRratio_2010 0.884667 0.0921729 -SPRratio_2011 0.873764 0.0919706 -SPRratio_2012 0.874901 0.105272 +SPRratio_1966 0.270636 0.0326111 +SPRratio_1967 0.396331 0.0447948 +SPRratio_1968 0.246263 0.0315064 +SPRratio_1969 0.347101 0.0421151 +SPRratio_1970 0.449298 0.0531395 +SPRratio_1971 0.33555 0.0453691 +SPRratio_1972 0.263848 0.0377544 +SPRratio_1973 0.356201 0.0484973 +SPRratio_1974 0.444991 0.0578467 +SPRratio_1975 0.47007 0.0615987 +SPRratio_1976 0.506999 0.0665685 +SPRratio_1977 0.321983 0.0492064 +SPRratio_1978 0.257887 0.0407783 +SPRratio_1979 0.323814 0.048582 +SPRratio_1980 0.221773 0.0351286 +SPRratio_1981 0.315244 0.0468641 +SPRratio_1982 0.251118 0.040367 +SPRratio_1983 0.260222 0.0424954 +SPRratio_1984 0.313726 0.0464687 +SPRratio_1985 0.285613 0.0316332 +SPRratio_1986 0.502885 0.0445811 +SPRratio_1987 0.563349 0.0476798 +SPRratio_1988 0.60561 0.0380281 +SPRratio_1989 0.712315 0.0358602 +SPRratio_1990 0.664035 0.0345624 +SPRratio_1991 0.753421 0.0365297 +SPRratio_1992 0.758207 0.0376809 +SPRratio_1993 0.600083 0.0352786 +SPRratio_1994 0.868489 0.0391384 +SPRratio_1995 0.724067 0.0410936 +SPRratio_1996 0.82306 0.0434347 +SPRratio_1997 0.867692 0.0458176 +SPRratio_1998 0.88056 0.0491362 +SPRratio_1999 0.882516 0.0510406 +SPRratio_2000 0.748294 0.0541147 +SPRratio_2001 0.748243 0.0599692 +SPRratio_2002 0.625591 0.0604328 +SPRratio_2003 0.660049 0.0638655 +SPRratio_2004 0.875529 0.0709025 +SPRratio_2005 0.930354 0.0739785 +SPRratio_2006 0.957403 0.0800188 +SPRratio_2007 0.889706 0.0876451 +SPRratio_2008 0.934117 0.0913089 +SPRratio_2009 0.665873 0.0914773 +SPRratio_2010 0.877402 0.073085 +SPRratio_2011 0.865529 0.0746023 +SPRratio_2012 0.866698 0.092017 #_F Basis= _abs_F;_with_F=Exploit(bio) -F_1966 0.0318505 0.00453756 -F_1967 0.0511282 0.00750829 -F_1968 0.0304958 0.004683 -F_1969 0.0457893 0.00715463 -F_1970 0.061395 0.00986899 -F_1971 0.0420907 0.00703295 -F_1972 0.0324533 0.00549714 -F_1973 0.0449867 0.00763426 -F_1974 0.0592107 0.010185 -F_1975 0.0636047 0.0112223 -F_1976 0.0699777 0.0126673 -F_1977 0.0401569 0.00747255 -F_1978 0.0311559 0.00576502 -F_1979 0.0406134 0.00741425 -F_1980 0.0265415 0.00483511 -F_1981 0.0403481 0.00714107 -F_1982 0.031189 0.00552459 -F_1983 0.0326511 0.00576472 -F_1984 0.0393909 0.00695252 -F_1985 0.0332765 0.00472712 -F_1986 0.065601 0.00770237 -F_1987 0.0768205 0.00809357 -F_1988 0.0859322 0.00787167 -F_1989 0.110907 0.00930773 -F_1990 0.100258 0.00817174 -F_1991 0.123255 0.0098164 -F_1992 0.125538 0.0101188 -F_1993 0.08809 0.00724609 -F_1994 0.159337 0.0129359 -F_1995 0.117838 0.0102374 -F_1996 0.146255 0.0129802 -F_1997 0.161143 0.0150377 -F_1998 0.16592 0.0165177 -F_1999 0.167503 0.0177375 -F_2000 0.126759 0.0134857 -F_2001 0.126984 0.0137802 -F_2002 0.0971334 0.0109705 -F_2003 0.105244 0.0121007 -F_2004 0.167802 0.0198448 -F_2005 0.188578 0.0243355 -F_2006 0.199612 0.0281161 -F_2007 0.172836 0.0263065 -F_2008 0.189034 0.0299721 -F_2009 0.106448 0.017902 -F_2010 0.162629 0.0341877 -F_2011 0.187837 0.0448435 -F_2012 0.18182 0.0414844 +F_1966 0.031407 0.00451328 +F_1967 0.0503949 0.00746193 +F_1968 0.0300393 0.0046484 +F_1969 0.0450929 0.00709875 +F_1970 0.0604361 0.00978439 +F_1971 0.0414094 0.00696508 +F_1972 0.0319224 0.00544252 +F_1973 0.0442516 0.00755903 +F_1974 0.0582335 0.0100817 +F_1975 0.0625326 0.011101 +F_1976 0.0687728 0.0125216 +F_1977 0.0394495 0.00738093 +F_1978 0.0306123 0.00569648 +F_1979 0.0399169 0.0073306 +F_1980 0.0260891 0.00478156 +F_1981 0.039679 0.00707195 +F_1982 0.0306767 0.0054734 +F_1983 0.032123 0.00571411 +F_1984 0.0387608 0.00689367 +F_1985 0.032859 0.00472006 +F_1986 0.0649598 0.00773958 +F_1987 0.0762107 0.00816743 +F_1988 0.0853596 0.0080203 +F_1989 0.110285 0.00956177 +F_1990 0.0997879 0.00844823 +F_1991 0.122802 0.0102025 +F_1992 0.125197 0.0105611 +F_1993 0.0879356 0.00758969 +F_1994 0.159208 0.0135902 +F_1995 0.117839 0.0107823 +F_1996 0.146374 0.0137027 +F_1997 0.161398 0.0159076 +F_1998 0.166323 0.0175118 +F_1999 0.168056 0.0188466 +F_2000 0.127256 0.0143932 +F_2001 0.127549 0.0146889 +F_2002 0.0976201 0.0116734 +F_2003 0.105812 0.0128534 +F_2004 0.168766 0.0210511 +F_2005 0.189787 0.0258115 +F_2006 0.201039 0.0298446 +F_2007 0.174199 0.0279622 +F_2008 0.19062 0.0318958 +F_2009 0.107417 0.0190852 +F_2010 0.158915 0.0281536 +F_2011 0.185631 0.0384187 +F_2012 0.179186 0.0343888 #_Depletion Basis= 100%*Virgin_Biomass -Bratio_1967 0.969599 0.0043289 -Bratio_1968 0.925316 0.0105442 -Bratio_1969 0.907052 0.0129913 -Bratio_1970 0.879929 0.0167421 -Bratio_1971 0.845011 0.0216259 -Bratio_1972 0.83234 0.0233772 -Bratio_1973 0.830253 0.0237064 -Bratio_1974 0.819363 0.0253739 -Bratio_1975 0.798829 0.0284537 -Bratio_1976 0.778332 0.0315439 -Bratio_1977 0.756929 0.0347797 -Bratio_1978 0.761378 0.0344489 -Bratio_1979 0.772888 0.0332269 -Bratio_1980 0.776161 0.033221 -Bratio_1981 0.790499 0.0401989 -Bratio_1982 0.792252 0.0527809 -Bratio_1983 0.800455 0.0611012 -Bratio_1984 0.806481 0.0668377 -Bratio_1985 0.746466 0.0627895 -Bratio_1986 0.715051 0.0785174 -Bratio_1987 0.674994 0.0905038 -Bratio_1988 0.638155 0.0839179 -Bratio_1989 0.605398 0.0832456 -Bratio_1990 0.566242 0.0827753 -Bratio_1991 0.542701 0.0843279 -Bratio_1992 0.512992 0.0842057 -Bratio_1993 0.48932 0.0843162 -Bratio_1994 0.489493 0.0877915 -Bratio_1995 0.456061 0.0851989 -Bratio_1996 0.449163 0.0866811 -Bratio_1997 0.431915 0.0862255 -Bratio_1998 0.412236 0.0852266 -Bratio_1999 0.395744 0.084595 -Bratio_2000 0.388039 0.0823823 -Bratio_2001 0.397081 0.0858901 -Bratio_2002 0.40352 0.0894728 -Bratio_2003 0.419637 0.0945385 -Bratio_2004 0.429381 0.0984059 -Bratio_2005 0.410379 0.0975857 -Bratio_2006 0.387627 0.0961301 -Bratio_2007 0.367093 0.0947617 -Bratio_2008 0.362226 0.0956867 -Bratio_2009 0.353135 0.0960782 -Bratio_2010 0.37475 0.10119 -Bratio_2011 0.404146 0.0742602 -Bratio_2012 0.41555 0.102837 +Bratio_1967 0.970026 0.00430447 +Bratio_1968 0.926341 0.0104932 +Bratio_1969 0.908292 0.0129416 +Bratio_1970 0.881516 0.0166831 +Bratio_1971 0.84705 0.0215525 +Bratio_1972 0.834507 0.0233107 +Bratio_1973 0.832403 0.023653 +Bratio_1974 0.821627 0.0253231 +Bratio_1975 0.801339 0.0283991 +Bratio_1976 0.78108 0.0314877 +Bratio_1977 0.759928 0.0347215 +Bratio_1978 0.764263 0.0344103 +Bratio_1979 0.775573 0.0332085 +Bratio_1980 0.778771 0.0332129 +Bratio_1981 0.792692 0.0403016 +Bratio_1982 0.794294 0.0529019 +Bratio_1983 0.802297 0.0612334 +Bratio_1984 0.808184 0.0669816 +Bratio_1985 0.744316 0.062086 +Bratio_1986 0.710246 0.0776502 +Bratio_1987 0.668808 0.0896706 +Bratio_1988 0.63134 0.0836348 +Bratio_1989 0.598183 0.0831591 +Bratio_1990 0.55895 0.0827321 +Bratio_1991 0.535077 0.0842705 +Bratio_1992 0.505234 0.0841353 +Bratio_1993 0.481378 0.0842194 +Bratio_1994 0.480995 0.0876548 +Bratio_1995 0.447781 0.0850807 +Bratio_1996 0.440577 0.0865519 +Bratio_1997 0.423292 0.086118 +Bratio_1998 0.403662 0.0851481 +Bratio_1999 0.387135 0.0845527 +Bratio_2000 0.379424 0.0824356 +Bratio_2001 0.388078 0.085915 +Bratio_2002 0.394129 0.0894511 +Bratio_2003 0.409694 0.094501 +Bratio_2004 0.419074 0.0983763 +Bratio_2005 0.400296 0.0976043 +Bratio_2006 0.377857 0.0962073 +Bratio_2007 0.357541 0.0949214 +Bratio_2008 0.352553 0.0959211 +Bratio_2009 0.34345 0.0964067 +Bratio_2010 0.36439 0.101571 +Bratio_2011 0.397956 0.0743661 +Bratio_2012 0.411971 0.101275 #_Mgmt_Quantity -SSB_unfished 3.40749e+06 317932 -Totbio_unfished 4.19679e+06 276385 -SmryBio_unfished 3.69302e+06 252817 -Recr_unfished 2.8351e+06 403902 -SSB_Btgt 1.363e+06 127173 -SPR_Btgt 0.439143 0.0302442 -annF_Btgt 0.192954 0.0210353 -Dead_Catch_Btgt 302464 33804.7 -SSB_SPR 1.22031e+06 114610 -annF_SPR 0.222071 0.0130084 -Dead_Catch_SPR 314130 32198.8 -SSB_MSY 1.22031e+06 114610 -SPR_MSY 0.4 1.33233e-15 -annF_MSY 0.222071 0.0130084 -Dead_Catch_MSY 314130 32198.8 -Ret_Catch_MSY 314130 32198.8 -B_MSY/SSB_unfished 0.358126 0.0346131 -ForeCatch_2010 314918 72540.7 -ForeCatch_2011 324566 75436.7 -ForeCatch_2012 328935 89792.2 -OFLCatch_2010 419890 87131.3 -OFLCatch_2011 432754 90796.6 -OFLCatch_2012 438580 111400 +SSB_unfished 3.40132e+06 329321 +Totbio_unfished 4.20977e+06 286878 +SmryBio_unfished 3.69888e+06 262073 +Recr_unfished 2.87514e+06 413166 +SSB_Btgt 1.36053e+06 131728 +SPR_Btgt 0.440225 0.030804 +annF_Btgt 0.191763 0.0212675 +Dead_Catch_Btgt 301343 34377.8 +SSB_SPR 1.21388e+06 117108 +annF_SPR 0.221616 0.0130616 +Dead_Catch_SPR 313274 32841.3 +SSB_MSY 1.21388e+06 117108 +SPR_MSY 0.4 9.79916e-16 +annF_MSY 0.221616 0.0130616 +Dead_Catch_MSY 313274 32841.3 +Ret_Catch_MSY 313274 32841.3 +B_MSY/SSB_unfished 0.356884 0.0353902 +ForeCatch_2010 307303 67021.2 +ForeCatch_2011 319109 72219.8 +ForeCatch_2012 325054 88094.5 +OFLCatch_2010 409737 79414.5 +OFLCatch_2011 425479 86383.1 +OFLCatch_2012 433405 109171 #_Extra_stdev -ln(SPB)_1960 15.2307 0.142465 -ln(SPB)_1984 15.0156 0.182422 -ln(SPB)_2009 14.1898 0.206642 -SmryBio_Virgin 4.32333e+06 0.0 -SmryBio_Initial 4.32333e+06 0.0 -SmryBio_1960 4.32333e+06 0.0 -SmryBio_1961 4.32333e+06 0.0 -SmryBio_1962 4.32333e+06 0.0 -SmryBio_1963 4.32333e+06 0.0 -SmryBio_1964 4.32333e+06 0.0 -SmryBio_1965 4.32333e+06 0.0 -SmryBio_1966 4.32333e+06 0.0 -SmryBio_1967 4.19289e+06 0.0 -SmryBio_1968 4.00645e+06 0.0 -SmryBio_1969 3.93391e+06 0.0 -SmryBio_1970 3.8209e+06 0.0 -SmryBio_1971 3.67331e+06 0.0 -SmryBio_1972 3.622e+06 0.0 -SmryBio_1973 3.61526e+06 0.0 -SmryBio_1974 3.56792e+06 0.0 -SmryBio_1975 3.48025e+06 0.0 -SmryBio_1976 3.39424e+06 0.0 -SmryBio_1977 3.30436e+06 0.0 -SmryBio_1978 3.32647e+06 0.0 -SmryBio_1979 3.3761e+06 0.0 -SmryBio_1980 3.3885e+06 0.0 -SmryBio_1981 3.44802e+06 0.0 -SmryBio_1982 3.45423e+06 0.0 -SmryBio_1983 3.48914e+06 0.0 -SmryBio_1984 3.51454e+06 0.0 -SmryBio_1985 3.31769e+06 0.0 -SmryBio_1986 3.21057e+06 0.0 -SmryBio_1987 3.04797e+06 0.0 -SmryBio_1988 2.89535e+06 0.0 -SmryBio_1989 2.75831e+06 0.0 -SmryBio_1990 2.59122e+06 0.0 -SmryBio_1991 2.49285e+06 0.0 -SmryBio_1992 2.3651e+06 0.0 -SmryBio_1993 2.26399e+06 0.0 -SmryBio_1994 2.26895e+06 0.0 -SmryBio_1995 2.1196e+06 0.0 -SmryBio_1996 2.09275e+06 0.0 -SmryBio_1997 2.01818e+06 0.0 -SmryBio_1998 1.93237e+06 0.0 -SmryBio_1999 1.86179e+06 0.0 -SmryBio_2000 1.82094e+06 0.0 -SmryBio_2001 1.8582e+06 0.0 -SmryBio_2002 1.88309e+06 0.0 -SmryBio_2003 1.95339e+06 0.0 -SmryBio_2004 1.99444e+06 0.0 -SmryBio_2005 1.90723e+06 0.0 -SmryBio_2006 1.80692e+06 0.0 -SmryBio_2007 1.71896e+06 0.0 -SmryBio_2008 1.701e+06 0.0 -SmryBio_2009 1.66025e+06 0.0 -SmryBio_2010 1.93641e+06 0.0 -SmryBio_2011 1.72791e+06 0.0 -SmryBio_2012 1.80913e+06 0.0 +ln(SPB)_1960 15.2447 0.143703 +ln(SPB)_1984 15.0318 0.183761 +ln(SPB)_2009 14.176 0.21674 +SmryBio_Virgin 4.38438e+06 0.0 +SmryBio_Initial 4.38438e+06 0.0 +SmryBio_1960 4.38438e+06 0.0 +SmryBio_1961 4.38438e+06 0.0 +SmryBio_1962 4.38438e+06 0.0 +SmryBio_1963 4.38438e+06 0.0 +SmryBio_1964 4.38438e+06 0.0 +SmryBio_1965 4.38438e+06 0.0 +SmryBio_1966 4.38438e+06 0.0 +SmryBio_1967 4.2539e+06 0.0 +SmryBio_1968 4.06734e+06 0.0 +SmryBio_1969 3.99467e+06 0.0 +SmryBio_1970 3.88152e+06 0.0 +SmryBio_1971 3.73374e+06 0.0 +SmryBio_1972 3.68224e+06 0.0 +SmryBio_1973 3.67532e+06 0.0 +SmryBio_1974 3.62779e+06 0.0 +SmryBio_1975 3.53991e+06 0.0 +SmryBio_1976 3.4537e+06 0.0 +SmryBio_1977 3.36362e+06 0.0 +SmryBio_1978 3.38553e+06 0.0 +SmryBio_1979 3.43501e+06 0.0 +SmryBio_1980 3.44727e+06 0.0 +SmryBio_1981 3.50616e+06 0.0 +SmryBio_1982 3.51192e+06 0.0 +SmryBio_1983 3.5465e+06 0.0 +SmryBio_1984 3.57168e+06 0.0 +SmryBio_1985 3.35984e+06 0.0 +SmryBio_1986 3.24227e+06 0.0 +SmryBio_1987 3.07236e+06 0.0 +SmryBio_1988 2.91477e+06 0.0 +SmryBio_1989 2.77387e+06 0.0 +SmryBio_1990 2.60344e+06 0.0 +SmryBio_1991 2.50205e+06 0.0 +SmryBio_1992 2.37155e+06 0.0 +SmryBio_1993 2.26797e+06 0.0 +SmryBio_1994 2.2708e+06 0.0 +SmryBio_1995 2.11958e+06 0.0 +SmryBio_1996 2.09104e+06 0.0 +SmryBio_1997 2.01499e+06 0.0 +SmryBio_1998 1.92769e+06 0.0 +SmryBio_1999 1.85566e+06 0.0 +SmryBio_2000 1.81383e+06 0.0 +SmryBio_2001 1.84997e+06 0.0 +SmryBio_2002 1.8737e+06 0.0 +SmryBio_2003 1.94289e+06 0.0 +SmryBio_2004 1.98306e+06 0.0 +SmryBio_2005 1.89508e+06 0.0 +SmryBio_2006 1.79409e+06 0.0 +SmryBio_2007 1.70551e+06 0.0 +SmryBio_2008 1.68684e+06 0.0 +SmryBio_2009 1.64526e+06 0.0 +SmryBio_2010 1.93376e+06 0.0 +SmryBio_2011 1.71905e+06 0.0 +SmryBio_2012 1.81406e+06 0.0 #_survey_stdev 0 #_Biomass -TotBio_Virgin 4.82709e+06 0.0 -TotBio_Initial 4.82709e+06 0.0 -TotBio_1960 4.82709e+06 0.0 -TotBio_1961 4.82709e+06 0.0 -TotBio_1962 4.82709e+06 0.0 -TotBio_1963 4.82709e+06 0.0 -TotBio_1964 4.82709e+06 0.0 -TotBio_1965 4.82709e+06 0.0 -TotBio_1966 4.82709e+06 0.0 -TotBio_1967 4.69663e+06 0.0 -TotBio_1968 4.50988e+06 0.0 -TotBio_1969 4.43618e+06 0.0 -TotBio_1970 4.3218e+06 0.0 -TotBio_1971 4.17338e+06 0.0 -TotBio_1972 4.12089e+06 0.0 -TotBio_1973 4.11291e+06 0.0 -TotBio_1974 4.06511e+06 0.0 -TotBio_1975 3.97721e+06 0.0 -TotBio_1976 3.89056e+06 0.0 -TotBio_1977 3.79966e+06 0.0 -TotBio_1978 3.82074e+06 0.0 -TotBio_1979 3.86962e+06 0.0 -TotBio_1980 3.88235e+06 0.0 -TotBio_1981 3.94238e+06 0.0 -TotBio_1982 3.9489e+06 0.0 -TotBio_1983 3.98438e+06 0.0 -TotBio_1984 4.00996e+06 0.0 -TotBio_1985 3.81338e+06 0.0 -TotBio_1986 3.70565e+06 0.0 -TotBio_1987 3.54023e+06 0.0 -TotBio_1988 3.38556e+06 0.0 -TotBio_1989 3.24593e+06 0.0 -TotBio_1990 3.0762e+06 0.0 -TotBio_1991 2.97506e+06 0.0 -TotBio_1992 2.84417e+06 0.0 -TotBio_1993 2.74056e+06 0.0 -TotBio_1994 2.74259e+06 0.0 -TotBio_1995 2.59113e+06 0.0 -TotBio_1996 2.56322e+06 0.0 -TotBio_1997 2.48524e+06 0.0 -TotBio_1998 2.39804e+06 0.0 -TotBio_1999 2.32482e+06 0.0 -TotBio_2000 2.28103e+06 0.0 -TotBio_2001 2.31601e+06 0.0 -TotBio_2002 2.34034e+06 0.0 -TotBio_2003 2.41214e+06 0.0 -TotBio_2004 2.45467e+06 0.0 -TotBio_2005 2.36963e+06 0.0 -TotBio_2006 2.26956e+06 0.0 -TotBio_2007 2.17836e+06 0.0 -TotBio_2008 2.15661e+06 0.0 -TotBio_2009 2.11276e+06 0.0 -TotBio_2010 2.21189e+06 0.0 -TotBio_2011 2.28924e+06 0.0 -TotBio_2012 2.32659e+06 0.0 +TotBio_Virgin 4.89526e+06 0.0 +TotBio_Initial 4.89526e+06 0.0 +TotBio_1960 4.89526e+06 0.0 +TotBio_1961 4.89526e+06 0.0 +TotBio_1962 4.89526e+06 0.0 +TotBio_1963 4.89526e+06 0.0 +TotBio_1964 4.89526e+06 0.0 +TotBio_1965 4.89526e+06 0.0 +TotBio_1966 4.89526e+06 0.0 +TotBio_1967 4.76475e+06 0.0 +TotBio_1968 4.57788e+06 0.0 +TotBio_1969 4.50402e+06 0.0 +TotBio_1970 4.38946e+06 0.0 +TotBio_1971 4.24083e+06 0.0 +TotBio_1972 4.18812e+06 0.0 +TotBio_1973 4.17993e+06 0.0 +TotBio_1974 4.13193e+06 0.0 +TotBio_1975 4.04382e+06 0.0 +TotBio_1976 3.95694e+06 0.0 +TotBio_1977 3.86581e+06 0.0 +TotBio_1978 3.88668e+06 0.0 +TotBio_1979 3.93539e+06 0.0 +TotBio_1980 3.94798e+06 0.0 +TotBio_1981 4.00739e+06 0.0 +TotBio_1982 4.01346e+06 0.0 +TotBio_1983 4.04861e+06 0.0 +TotBio_1984 4.07397e+06 0.0 +TotBio_1985 3.86239e+06 0.0 +TotBio_1986 3.74412e+06 0.0 +TotBio_1987 3.57108e+06 0.0 +TotBio_1988 3.41119e+06 0.0 +TotBio_1989 3.26747e+06 0.0 +TotBio_1990 3.0942e+06 0.0 +TotBio_1991 2.98984e+06 0.0 +TotBio_1992 2.85598e+06 0.0 +TotBio_1993 2.74971e+06 0.0 +TotBio_1994 2.74939e+06 0.0 +TotBio_1995 2.59589e+06 0.0 +TotBio_1996 2.56617e+06 0.0 +TotBio_1997 2.48648e+06 0.0 +TotBio_1998 2.39765e+06 0.0 +TotBio_1999 2.32278e+06 0.0 +TotBio_2000 2.27781e+06 0.0 +TotBio_2001 2.31149e+06 0.0 +TotBio_2002 2.33459e+06 0.0 +TotBio_2003 2.40533e+06 0.0 +TotBio_2004 2.44701e+06 0.0 +TotBio_2005 2.36128e+06 0.0 +TotBio_2006 2.26053e+06 0.0 +TotBio_2007 2.16849e+06 0.0 +TotBio_2008 2.14576e+06 0.0 +TotBio_2009 2.10086e+06 0.0 +TotBio_2010 2.19899e+06 0.0 +TotBio_2011 2.292e+06 0.0 +TotBio_2012 2.3402e+06 0.0 TotCatch_Virgin 0 0.0 TotCatch_Initial 0 0.0 TotCatch_1960 0 0.0 @@ -634,6 +631,6 @@ TotCatch_2006 360683 0.0 TotCatch_2007 297098 0.0 TotCatch_2008 321547 0.0 TotCatch_2009 176730 0.0 -TotCatch_2010 314918 0.0 -TotCatch_2011 324566 0.0 -TotCatch_2012 328935 0.0 +TotCatch_2010 307303 0.0 +TotCatch_2011 319109 0.0 +TotCatch_2012 325054 0.0 diff --git a/models/growth_timevary/starter.ss b/models/growth_timevary/starter.ss index 09b65ed..3154f14 100644 --- a/models/growth_timevary/starter.ss +++ b/models/growth_timevary/starter.ss @@ -14,7 +14,7 @@ Example_1_control.SS 0 # write 1st iteration details to echoinput.sso file (0,1) 0 # write parm values to ParmTrace.sso (0=no,1=good,active; 2=good,all; 3=every_iter,all_parms; 4=every,active) 0 # write to cumreport.sso (0=no,1=like×eries; 2=add survey fits) -0 # Include prior_like for non-estimated parameters (0,1) +1 # Include prior_like for non-estimated parameters (0,1) 0 # Use Soft Boundaries to aid convergence (0,1) (recommended) # 3 # Number of datafiles to produce: 0 turns off all *.ss_new; 1st is data_echo.ss_new, 2nd is data_expval.ss, 3rd and higher are data_boot_**N.ss, diff --git a/models/growth_timevary/warning.sso b/models/growth_timevary/warning.sso index 6e97d86..fbdc591 100644 --- a/models/growth_timevary/warning.sso +++ b/models/growth_timevary/warning.sso @@ -1,8 +1,3 @@ -Warning 1 : fishing fleet: 1 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month -Warning 2 : fishing fleet: 2 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month -Note 1 Suggestion: This model has just one settlement event. Changing to recr_dist_method 4 and removing the recruitment distribution parameters at the end of the MG parms section (below growth parameters) will produce identical results and simplify the model. -Warning 3 : At least one block pattern ends in endyr. Check the output parameter value time series to see if the values in forecast years are as intended. -Note 2 Information: Max harvest rate typically is >1.0 for F_method 2, 3 or 4 0.9 -Warning 4 : Setting in starter does not request all priors, and 1 parameters have priors and are not estimated, so their prior not included in obj_fun. -Note 3 Information: A revised protocol for the Fcast_yr specification is available and recommended. - 4 warnings and 3 notes +Warning 1 : At least one block pattern ends in endyr. Check the output parameter value time series to see if the values in forecast years are as intended. +Note 1 Information: Max harvest rate typically is >1.0 for F_method 2, 3 or 4 0.9 +Warning 2 : Final gradient: 2.75084e-07 is larger than final_conv: 1e-07 diff --git a/models/platoons/platoons_ctl.ss b/models/platoons/platoons_ctl.ss index 086c6f2..0cb5213 100644 --- a/models/platoons/platoons_ctl.ss +++ b/models/platoons/platoons_ctl.ss @@ -14,11 +14,11 @@ 0 # 0 means do not read wtatage.ss; 1 means read and use wtatage.ss and also read and use growth parameters 1 #_N_Growth_Patterns (Growth Patterns, Morphs, Bio Patterns, GP are terms used interchangeably in SS3) 5 #_N_platoons_Within_GrowthPattern --0.357046 #_Platoon_within/between_stdev_ratio (no read if N_platoons=1) +-1 #_Platoon_within/between_stdev_ratio (no read if N_platoons=1) #_Cond sd_ratio_rd < 0: platoon_sd_ratio parameter required after movement params. 0.031 0.237 0.464 0.237 0.031 #vector_platoon_dist_(-1_in_first_val_gives_normal_approx) # -2 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) +4 # recr_dist_method for parameters: 2=main effects for GP, Area, Settle timing; 3=each Settle entity; 4=none (only when N_GP*Nsettle*pop==1) 1 # not yet implemented; Future usage: Spawner-Recruitment: 1=global; 2=by area 1 # number of recruitment settlement assignments 0 # unused option @@ -106,9 +106,6 @@ -3 4 3 3 0.8 6 -3 0 0 0 0 0.5 0 0 # Wtlen_2_Mal_GP_1 # Hermaphroditism # Recruitment Distribution - 0 999 1 1 0.8 6 -3 0 0 0 0 0.5 0 0 # RecrDist_GP_1 - 0 999 1 1 0.8 6 -3 0 0 0 0 0.5 0 0 # RecrDist_Area_1 - 0 999 1 1 0.8 6 -3 0 0 0 0 0.5 0 0 # RecrDist_month_1 # Cohort growth dev base 0.1 10 1 1 1 0 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement @@ -149,7 +146,7 @@ 1974 #_last_yr_nobias_adj_in_MPD; begin of ramp 1978.78 #_first_yr_fullbias_adj_in_MPD; begin of plateau 1993.23 #_last_yr_fullbias_adj_in_MPD - 2003.28 #_end_yr_for_ramp_in_MPD (can be in forecast to shape ramp, but SS3 sets bias_adj to 0.0 for fcast yrs) + 2001 #_end_yr_for_ramp_in_MPD (can be in forecast to shape ramp, but SS3 sets bias_adj to 0.0 for fcast yrs) 0.4959 #_max_bias_adj_in_MPD (typical ~0.8; -3 sets all years to 0.0; -2 sets all non-forecast yrs w/ estimated recdevs to 1.0; -1 sets biasadj=1.0 for all yrs w/ recdevs) 0 #_period of cycles in recruitment (N parms read below) -5 #min rec_dev @@ -245,14 +242,14 @@ # #_ LO HI INIT PRIOR PR_SD PR_type PHASE env-var use_dev dev_mnyr dev_mxyr dev_PH Block Blk_Fxn # parm_name # 1 fishery1 LenSelex - 5 89 60.5283 60 99 6 3 0 0 0 0 0.5 0 0 # Size_DblN_peak_fishery1(1) + 22 89 60.5283 60 99 6 3 0 0 0 0 0.5 0 0 # Size_DblN_peak_fishery1(1) -3 3 -0.75 -0.75 99 6 -3 0 0 0 0 0.5 0 0 # Size_DblN_top_logit_fishery1(1) -4 12 5.0364 5 99 6 3 0 0 0 0 0.5 0 0 # Size_DblN_ascend_se_fishery1(1) -2 15 15 15 99 6 -3 0 0 0 0 0.5 0 0 # Size_DblN_descend_se_fishery1(1) -15 0 -12.8882 -15 99 6 3 0 0 0 0 0.5 0 0 # Size_DblN_start_logit_fishery1(1) -999 15 -999 0 99 6 -3 0 0 0 0 0.5 0 0 # Size_DblN_end_logit_fishery1(1) # 2 survey1 LenSelex - 5 89 56.0865 55 99 6 3 0 0 0 0 0.5 0 0 # Size_DblN_peak_survey1(2) + 22 89 56.0865 55 99 6 3 0 0 0 0 0.5 0 0 # Size_DblN_peak_survey1(2) -3 3 -0.31 -0.31 99 6 -3 0 0 0 0 0.5 0 0 # Size_DblN_top_logit_survey1(2) -4 12 5.13379 5 99 6 3 0 0 0 0 0.5 0 0 # Size_DblN_ascend_se_survey1(2) -2 15 15 15 99 6 -3 0 0 0 0 0.5 0 0 # Size_DblN_descend_se_survey1(2) diff --git a/models/platoons/platoons_dat.ss b/models/platoons/platoons_dat.ss index f0a0fd9..5107ff7 100644 --- a/models/platoons/platoons_dat.ss +++ b/models/platoons/platoons_dat.ss @@ -26,7 +26,7 @@ #_catch_mult: 0=no; 1=yes #_rows are fleets #_fleet_type fishery_timing area catch_units need_catch_mult fleetname - 1 1 1 1 0 fishery1 # 1 + 1 -1 1 1 0 fishery1 # 1 3 1 1 2 0 survey1 # 2 #Bycatch_fleet_input_goes_next #a: fleet index diff --git a/models/platoons/ss.par b/models/platoons/ss.par index 960e976..ce2152b 100644 --- a/models/platoons/ss.par +++ b/models/platoons/ss.par @@ -1,4 +1,4 @@ -# Number of parameters = 69 Objective function value = 1121.22708949200 Maximum gradient component = 5.37073714584667e-05 +# Number of parameters = 69 Objective function value = 1223.37339067083 Maximum gradient component = 9.72833149456364e-05 # dummy_parm: 1.00000000000 # MGparm[1]: @@ -6,11 +6,11 @@ # MGparm[2]: 0.00000000000 # MGparm[3]: -34.6724157173 +34.6744337951 # MGparm[4]: -71.3023368470 +71.3022600287 # MGparm[5]: -0.152754265942 +0.152714189798 # MGparm[6]: 0.100000000000 # MGparm[7]: @@ -48,19 +48,13 @@ # MGparm[23]: 1.00000000000 # MGparm[24]: -1.00000000000 +0.356862680487 # MGparm[25]: -1.00000000000 -# MGparm[26]: -1.00000000000 -# MGparm[27]: -0.357046090313 -# MGparm[28]: 0.500000000000 # SR_parm[1]: -10.5900944403 +10.5906831944 # SR_parm[2]: -0.787740225866 +0.785574764424 # SR_parm[3]: 0.500000000000 # SR_parm[4]: @@ -68,35 +62,35 @@ # SR_parm[5]: 0.00000000000 # recdev1: - -0.0492017117897 -0.0585204876823 -0.0717684340823 -0.0892332068204 -0.109637827864 -0.127774241785 -0.130254749999 -0.0965305083794 -0.0149858555290 0.0792718619502 0.101248720953 0.0574455123753 0.0308220969633 0.00198081595453 -0.0788262552778 -0.100742411556 0.0184273936658 0.151043198504 0.100558602740 0.0408357903407 0.0571115573062 0.314659920345 0.765939711336 0.640106601231 -0.0901592107277 0.191231164797 0.119582639165 -0.0600260332183 -0.289123251604 -0.510196597271 -0.655603217292 -0.327072174747 -0.324371653371 0.695129143710 0.555688923782 -0.163107496692 -0.233398558268 -0.217154839236 -0.369063502883 -0.514301237454 -0.313356306963 -0.321300576697 0.302864106582 0.289647928200 0.429658207351 0.0694516082661 -0.139146437587 0.333252244879 0.101571943048 0.0151084988483 -0.00778140751590 + -0.0493471401139 -0.0586763920731 -0.0719328232905 -0.0894069926662 -0.109820246848 -0.127964762281 -0.130453335983 -0.0967433161465 -0.0152181652068 0.0790104968594 0.100976022102 0.0571778009327 0.0305532892455 0.00170090348366 -0.0791045337834 -0.101023162806 0.0181195758891 0.150701505952 0.100275166214 0.0405895209738 0.0567922087575 0.314418375053 0.765314949930 0.639901726271 -0.0903335624141 0.190982919342 0.119211385636 -0.0600445921805 -0.289084373302 -0.510001147938 -0.655371689080 -0.326724347125 -0.323988033544 0.696261757958 0.556621709095 -0.162109187573 -0.231771806675 -0.215718167433 -0.367289830375 -0.512448214133 -0.311012422770 -0.319365465295 0.305383480155 0.291590621586 0.429509734067 0.0683046615224 -0.140881247145 0.329099404894 0.0981129188537 0.0130452658092 -0.00782044240217 # Fcast_recruitments: 0.00000000000 0.00000000000 0.00000000000 # Fcast_impl_error: 0.00000000000 0.00000000000 0.00000000000 # Q_parm[1]: --4.38243404361 +-4.38348887033 # selparm[1]: -60.5283208825 +60.5230948153 # selparm[2]: -0.750000000000 # selparm[3]: -5.03639999147 +5.03604116381 # selparm[4]: 15.0000000000 # selparm[5]: --12.8882494710 +-12.8881666520 # selparm[6]: -999.000000000 # selparm[7]: -56.0864775361 +56.0885807579 # selparm[8]: -0.310000000000 # selparm[9]: -5.13378747700 +5.13331404710 # selparm[10]: 15.0000000000 # selparm[11]: --12.2129526976 +-12.2129568806 # selparm[12]: -999.000000000 # checksum999: diff --git a/models/platoons/ss_summary.sso b/models/platoons/ss_summary.sso index 217d913..d64f5ad 100644 --- a/models/platoons/ss_summary.sso +++ b/models/platoons/ss_summary.sso @@ -1,21 +1,21 @@ #V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 platoons_dat.ss #_DataFile platoons_ctl.ss #_Control -Run_Date: Tue Oct 31 16:42:28 2023 -Final_phase: 6 N_iterations: 546 +Run_Date: Wed Nov 1 09:57:10 2023 +Final_phase: 6 N_iterations: 464 #_LIKELIHOOD Label logL*Lambda -TOTAL_LogL 1121.23 -Catch 5.79391e-13 -Survey -5.79813 -Length_comp 760.714 -Age_comp 365.103 -Recruitment 1.18646 +TOTAL_LogL 1223.37 +Catch 5.77834e-13 +Survey -5.7988 +Length_comp 760.701 +Age_comp 365.11 +Recruitment 1.51298 InitEQ_regime 0 -Sum_recdevs -6.25368e-16 +Sum_recdevs 8.53484e-16 Forecast_Recruitment 0 -Parm_priors 0.0204879 -Parm_softbounds 0.00142283 +Parm_priors 101.847 +Parm_softbounds 0.00128834 Parm_devs 0 F_Ballpark 0 Crash_Pen 0 @@ -24,9 +24,9 @@ Crash_Pen 0 #_BIOLOGY NatM_break_1_Fem_GP_1 0.1 0 Fix 0.499995 NatM_break_2_Fem_GP_1 0 0 Fix 0.5 -L_at_Amin_Fem_GP_1 34.6724 1.22231 Act 0.704926 -L_at_Amax_Fem_GP_1 71.3023 1.04049 Act 0.626047 -VonBert_K_Fem_GP_1 0.152754 0.0220842 Act 0.513769 +L_at_Amin_Fem_GP_1 34.6744 1.22194 Act 0.704984 +L_at_Amax_Fem_GP_1 71.3023 1.0408 Act 0.626045 +VonBert_K_Fem_GP_1 0.152714 0.0221018 Act 0.513568 CV_young_Fem_GP_1 0.1 0 Fix 0.249999 CV_old_Fem_GP_1 0.25 0 Fix 0.541667 Wtlen_1_Fem_GP_1 2e-06 0 Fix 0.5 @@ -44,69 +44,66 @@ CV_young_Mal_GP_1 0 0 Fix 0.5 CV_old_Mal_GP_1 0.25 0 Fix 0.541667 Wtlen_1_Mal_GP_1 2e-06 0 Fix 0.5 Wtlen_2_Mal_GP_1 3 0 Fix 0.857143 -RecrDist_GP_1 1 0 Fix 0.001001 -RecrDist_Area_1 1 0 Fix 0.001001 -RecrDist_month_1 1 0 Fix 0.001001 CohortGrowDev 1 0 Fix 0.0909091 -Platoon_SD_Ratio 0.357046 0.129008 Act 0.0886366 +Platoon_SD_Ratio 0.356863 0.129041 Act 0.0885733 FracFemale_GP_1 0.5 0 Fix 0.499999 #_SPAWN_RECR -SR_LN(R0) 10.5901 0.0938326 Act 0.271075 -SR_BH_steep 0.78774 0.347168 Act 0.734674 +SR_LN(R0) 10.5907 0.0938878 Act 0.271096 +SR_BH_steep 0.785575 0.34614 Act 0.731968 SR_sigmaR 0.5 0 Fix 0.25 SR_regime 0 0 Fix 0.5 SR_autocorr 0 0 Fix 0 -Main_InitAge_20 -0.0492017 0.483208 Act 0.49508 -Main_InitAge_19 -0.0585205 0.480982 Act 0.494148 -Main_InitAge_18 -0.0717684 0.477985 Act 0.492823 -Main_InitAge_17 -0.0892332 0.474221 Act 0.491077 -Main_InitAge_16 -0.109638 0.470038 Act 0.489036 -Main_InitAge_15 -0.127774 0.466477 Act 0.487223 -Main_InitAge_14 -0.130255 0.465934 Act 0.486974 -Main_InitAge_13 -0.0965305 0.47158 Act 0.490347 -Main_InitAge_12 -0.0149859 0.484072 Act 0.498501 -Main_InitAge_11 0.0792719 0.496765 Act 0.507927 -Main_InitAge_10 0.101249 0.500536 Act 0.510125 -Main_InitAge_9 0.0574455 0.493498 Act 0.505745 -Main_InitAge_8 0.0308221 0.485243 Act 0.503082 -Main_InitAge_7 0.00198082 0.473451 Act 0.500198 -Main_InitAge_6 -0.0788263 0.464484 Act 0.492117 -Main_InitAge_5 -0.100742 0.459985 Act 0.489926 -Main_InitAge_4 0.0184274 0.47204 Act 0.501843 -Main_InitAge_3 0.151043 0.483492 Act 0.515104 -Main_InitAge_2 0.100559 0.486277 Act 0.510056 -Main_InitAge_1 0.0408358 0.47955 Act 0.504084 -Main_RecrDev_1971 0.0571116 0.483116 Act 0.505711 -Main_RecrDev_1972 0.31466 0.53317 Act 0.531466 -Main_RecrDev_1973 0.76594 0.573628 Act 0.576594 -Main_RecrDev_1974 0.640107 0.517555 Act 0.564011 -Main_RecrDev_1975 -0.0901592 0.452555 Act 0.490984 -Main_RecrDev_1976 0.191231 0.417427 Act 0.519123 -Main_RecrDev_1977 0.119583 0.421768 Act 0.511958 -Main_RecrDev_1978 -0.060026 0.397125 Act 0.493997 -Main_RecrDev_1979 -0.289123 0.370772 Act 0.471088 -Main_RecrDev_1980 -0.510197 0.372856 Act 0.44898 -Main_RecrDev_1981 -0.655603 0.363986 Act 0.43444 -Main_RecrDev_1982 -0.327072 0.335666 Act 0.467293 -Main_RecrDev_1983 -0.324372 0.390954 Act 0.467563 -Main_RecrDev_1984 0.695129 0.295384 Act 0.569513 -Main_RecrDev_1985 0.555689 0.346317 Act 0.555569 -Main_RecrDev_1986 -0.163107 0.383929 Act 0.483689 -Main_RecrDev_1987 -0.233399 0.374791 Act 0.47666 -Main_RecrDev_1988 -0.217155 0.37898 Act 0.478284 -Main_RecrDev_1989 -0.369064 0.342625 Act 0.463094 -Main_RecrDev_1990 -0.514301 0.346942 Act 0.44857 -Main_RecrDev_1991 -0.313356 0.326116 Act 0.468664 -Main_RecrDev_1992 -0.321301 0.37191 Act 0.46787 -Main_RecrDev_1993 0.302864 0.350581 Act 0.530286 -Main_RecrDev_1994 0.289648 0.392071 Act 0.528965 -Main_RecrDev_1995 0.429658 0.36855 Act 0.542966 -Main_RecrDev_1996 0.0694516 0.393525 Act 0.506945 -Main_RecrDev_1997 -0.139146 0.43286 Act 0.486085 -Main_RecrDev_1998 0.333252 0.402145 Act 0.533325 -Main_RecrDev_1999 0.101572 0.435062 Act 0.510157 -Main_RecrDev_2000 0.0151085 0.454843 Act 0.501511 -Main_RecrDev_2001 -0.00778141 0.495029 Act 0.499222 +Main_InitAge_20 -0.0493471 0.483185 Act 0.495065 +Main_InitAge_19 -0.0586764 0.480957 Act 0.494132 +Main_InitAge_18 -0.0719328 0.477959 Act 0.492807 +Main_InitAge_17 -0.089407 0.474194 Act 0.491059 +Main_InitAge_16 -0.10982 0.47001 Act 0.489018 +Main_InitAge_15 -0.127965 0.466449 Act 0.487203 +Main_InitAge_14 -0.130453 0.465904 Act 0.486955 +Main_InitAge_13 -0.0967433 0.471546 Act 0.490326 +Main_InitAge_12 -0.0152182 0.484031 Act 0.498478 +Main_InitAge_11 0.0790105 0.496713 Act 0.507901 +Main_InitAge_10 0.100976 0.50048 Act 0.510098 +Main_InitAge_9 0.0571778 0.493444 Act 0.505718 +Main_InitAge_8 0.0305533 0.485191 Act 0.503055 +Main_InitAge_7 0.0017009 0.473402 Act 0.50017 +Main_InitAge_6 -0.0791045 0.464438 Act 0.492089 +Main_InitAge_5 -0.101023 0.45994 Act 0.489898 +Main_InitAge_4 0.0181196 0.471986 Act 0.501812 +Main_InitAge_3 0.150702 0.483434 Act 0.51507 +Main_InitAge_2 0.100275 0.486246 Act 0.510027 +Main_InitAge_1 0.0405895 0.479537 Act 0.504059 +Main_RecrDev_1971 0.0567922 0.483047 Act 0.505679 +Main_RecrDev_1972 0.314418 0.533036 Act 0.531442 +Main_RecrDev_1973 0.765315 0.573413 Act 0.576531 +Main_RecrDev_1974 0.639902 0.517312 Act 0.56399 +Main_RecrDev_1975 -0.0903336 0.452517 Act 0.490967 +Main_RecrDev_1976 0.190983 0.417376 Act 0.519098 +Main_RecrDev_1977 0.119211 0.421724 Act 0.511921 +Main_RecrDev_1978 -0.0600446 0.397095 Act 0.493995 +Main_RecrDev_1979 -0.289084 0.370776 Act 0.471092 +Main_RecrDev_1980 -0.510001 0.372888 Act 0.449 +Main_RecrDev_1981 -0.655372 0.364012 Act 0.434463 +Main_RecrDev_1982 -0.326724 0.335713 Act 0.467328 +Main_RecrDev_1983 -0.323988 0.391022 Act 0.467601 +Main_RecrDev_1984 0.696262 0.295402 Act 0.569626 +Main_RecrDev_1985 0.556622 0.346568 Act 0.555662 +Main_RecrDev_1986 -0.162109 0.384103 Act 0.483789 +Main_RecrDev_1987 -0.231772 0.375044 Act 0.476823 +Main_RecrDev_1988 -0.215718 0.37941 Act 0.478428 +Main_RecrDev_1989 -0.36729 0.342776 Act 0.463271 +Main_RecrDev_1990 -0.512448 0.347125 Act 0.448755 +Main_RecrDev_1991 -0.311012 0.326274 Act 0.468899 +Main_RecrDev_1992 -0.319365 0.372135 Act 0.468063 +Main_RecrDev_1993 0.305383 0.350809 Act 0.530538 +Main_RecrDev_1994 0.291591 0.392311 Act 0.529159 +Main_RecrDev_1995 0.42951 0.368579 Act 0.542951 +Main_RecrDev_1996 0.0683047 0.393335 Act 0.50683 +Main_RecrDev_1997 -0.140881 0.432556 Act 0.485912 +Main_RecrDev_1998 0.329099 0.40172 Act 0.53291 +Main_RecrDev_1999 0.0981129 0.434438 Act 0.509811 +Main_RecrDev_2000 0.0130453 0.454334 Act 0.501304 +Main_RecrDev_2001 -0.00782044 0.495029 Act 0.499218 ForeRecr_2002 0 0.5 Act 0.5 ForeRecr_2003 0 0.5 Act 0.5 ForeRecr_2004 0 0.5 Act 0.5 @@ -114,301 +111,301 @@ Impl_err_2002 0 0.1 Act 0.5 Impl_err_2003 0 0.1 Act 0.5 Impl_err_2004 0 0.1 Act 0.5 #_Catchability -LnQ_base_survey1(2) -4.38243 0 Fix 0.353919 +LnQ_base_survey1(2) -4.38349 0 Fix 0.353884 #_Selectivity -Size_DblN_peak_fishery1(1) 60.5283 1.82938 Act 0.661051 +Size_DblN_peak_fishery1(1) 60.5231 1.82868 Act 0.574972 Size_DblN_top_logit_fishery1(1) -0.75 0 Fix 0.375 -Size_DblN_ascend_se_fishery1(1) 5.0364 0.188381 Act 0.564775 +Size_DblN_ascend_se_fishery1(1) 5.03604 0.188346 Act 0.564753 Size_DblN_descend_se_fishery1(1) 15 0 Fix 1 -Size_DblN_start_logit_fishery1(1) -12.8882 44.1637 Act 0.140783 +Size_DblN_start_logit_fishery1(1) -12.8882 44.1655 Act 0.140789 Size_DblN_end_logit_fishery1(1) -999 0 Fix 0 -Size_DblN_peak_survey1(2) 56.0865 2.27029 Act 0.608172 +Size_DblN_peak_survey1(2) 56.0886 2.26982 Act 0.508785 Size_DblN_top_logit_survey1(2) -0.31 0 Fix 0.448333 -Size_DblN_ascend_se_survey1(2) 5.13379 0.295362 Act 0.570862 +Size_DblN_ascend_se_survey1(2) 5.13331 0.295208 Act 0.570832 Size_DblN_descend_se_survey1(2) 15 0 Fix 1 -Size_DblN_start_logit_survey1(2) -12.213 65.9304 Act 0.185803 +Size_DblN_start_logit_survey1(2) -12.213 65.9423 Act 0.185803 Size_DblN_end_logit_survey1(2) -999 0 Fix 0 #_Derived_Quantities #_Spawn_Bio -SSB_Virgin 60830.8 4769.99 -SSB_Initial 60830.8 4769.99 -SSB_1971 59692.7 5414.23 -SSB_1972 59415.3 5265.82 -SSB_1973 58798.5 5104.67 -SSB_1974 57864.9 4943.03 -SSB_1975 56705.6 4786.38 -SSB_1976 55514 4617.81 -SSB_1977 54440.8 4416.99 -SSB_1978 53367.1 4199.28 -SSB_1979 51984.7 3993.51 -SSB_1980 50054.6 3807.28 -SSB_1981 47463.4 3637.37 -SSB_1982 44563.5 3485.29 -SSB_1983 41327.2 3353.3 -SSB_1984 37774.4 3240.9 -SSB_1985 34019.1 3147.26 -SSB_1986 30288.3 3072.98 -SSB_1987 26922.2 3020.05 -SSB_1988 24593.8 2992.95 -SSB_1989 23208.6 3011.16 -SSB_1990 22423.3 3086.28 -SSB_1991 21951.4 3201.01 -SSB_1992 21667.1 3332.62 -SSB_1993 21155.7 3468.58 -SSB_1994 20448.4 3609.31 -SSB_1995 19646.4 3764.15 -SSB_1996 18922.2 3953 -SSB_1997 18459.1 4205.06 -SSB_1998 18345.2 4548.21 -SSB_1999 18520.1 4989 -SSB_2000 18826.7 5510.27 -SSB_2001 19157.6 6091.29 -SSB_2002 19490.4 6717.19 -SSB_2003 20501.1 6807.29 -SSB_2004 21406.7 6867.29 +SSB_Virgin 60860.5 4775.44 +SSB_Initial 60860.5 4775.44 +SSB_1971 59712.3 5417.7 +SSB_1972 59434.2 5269.3 +SSB_1973 58816.8 5108.21 +SSB_1974 57882.7 4946.67 +SSB_1975 56722.9 4790.19 +SSB_1976 55530.7 4621.85 +SSB_1977 54456.7 4421.32 +SSB_1978 53382.1 4203.89 +SSB_1979 51998.9 3998.37 +SSB_1980 50068.4 3812.39 +SSB_1981 47476.8 3642.73 +SSB_1982 44576.7 3490.9 +SSB_1983 41340.3 3359.14 +SSB_1984 37787.6 3246.95 +SSB_1985 34032.6 3153.48 +SSB_1986 30302.2 3079.37 +SSB_1987 26936.9 3026.61 +SSB_1988 24609.6 2999.77 +SSB_1989 23225.9 3018.36 +SSB_1990 22442.3 3094 +SSB_1991 21972 3209.38 +SSB_1992 21689.4 3341.66 +SSB_1993 21179.5 3478.3 +SSB_1994 20473.6 3619.7 +SSB_1995 19673.2 3775.22 +SSB_1996 18950.7 3964.82 +SSB_1997 18490 4217.79 +SSB_1998 18379.5 4562.11 +SSB_1999 18559 5004.42 +SSB_2000 18871.2 5527.57 +SSB_2001 19209 6110.89 +SSB_2002 19550.6 6739.65 +SSB_2003 20567.2 6831.42 +SSB_2004 21480.8 6893.71 #_Recruitment -Recr_Virgin 39739.2 3728.84 -Recr_Initial 39739.2 3728.84 -Recr_1971 42020.9 20350.7 -Recr_1972 54347.3 29075.6 -Recr_1973 85281.1 47917.8 -Recr_1974 75113.4 38433.8 -Recr_1975 35670.5 16203.6 -Recr_1976 46581.5 19046.1 -Recr_1977 42740.3 17716.5 -Recr_1978 35200.6 13957 -Recr_1979 27655.7 10229.8 -Recr_1980 22104 8361.37 -Recr_1981 19028.8 7004.78 -Recr_1982 26284.7 8871.31 -Recr_1983 26171.8 10489.9 -Recr_1984 71893.6 22513.9 -Recr_1985 61825.2 21226.3 -Recr_1986 29711.2 11928.5 -Recr_1987 27262.6 11114.6 -Recr_1988 27345.8 10010.8 -Recr_1989 23281.3 8580.09 -Recr_1990 20022.4 7481.74 -Recr_1991 24392.7 8959.95 -Recr_1992 24146.8 10042.8 -Recr_1993 44891.5 16645.7 -Recr_1994 44249.8 20743.5 -Recr_1995 50847.8 21200.8 -Recr_1996 35439.5 16366.9 -Recr_1997 28808.8 15408.9 -Recr_1998 46435 22175.8 -Recr_1999 37127.9 19904.7 -Recr_2000 34370.6 19205.1 -Recr_2001 33911.4 20019.5 -Recr_2002 34771.1 20334.2 -Recr_2003 35089.3 20183.6 -Recr_2004 35353.3 20069.4 +Recr_Virgin 39762.6 3733.23 +Recr_Initial 39762.6 3733.23 +Recr_1971 42031.1 20353 +Recr_1972 54364.4 29077.8 +Recr_1973 85274.4 47897.2 +Recr_1974 75137.9 38427.5 +Recr_1975 35682.5 16207.8 +Recr_1976 46592.8 19048.7 +Recr_1977 42744.6 17716.6 +Recr_1978 35215.9 13963.4 +Recr_1979 27668.5 10235.2 +Recr_1980 22116.8 8368.04 +Recr_1981 19039.5 7009.71 +Recr_1982 26300.7 8878.38 +Recr_1983 26186.4 10498.5 +Recr_1984 71979.5 22551.1 +Recr_1985 61878.1 21256.5 +Recr_1986 29733.7 11946 +Recr_1987 27295.6 11140.1 +Recr_1988 27369.9 10029 +Recr_1989 23307.5 8596.99 +Recr_1990 20045.7 7496.93 +Recr_1991 24432.3 8984.29 +Recr_1992 24176 10063.6 +Recr_1993 44970.8 16689.4 +Recr_1994 44362.2 20819.1 +Recr_1995 50959.8 21255 +Recr_1996 35544.7 16415.8 +Recr_1997 28929.2 15473.6 +Recr_1998 46601.9 22245.1 +Recr_1999 37357.1 20012.9 +Recr_2000 34696.6 19376.5 +Recr_2001 34367.8 20290.5 +Recr_2002 34751.9 20322.6 +Recr_2003 35073.8 20173.6 +Recr_2004 35341.5 20060.6 #_SPR Basis= 1-SPR -SPRratio_1971 0.092801 0.0081051 -SPRratio_1972 0.173277 0.0136317 -SPRratio_1973 0.244638 0.0173892 -SPRratio_1974 0.308655 0.0198732 -SPRratio_1975 0.365702 0.0213481 -SPRratio_1976 0.416002 0.021999 -SPRratio_1977 0.461156 0.0220617 -SPRratio_1978 0.503932 0.0217923 -SPRratio_1979 0.546403 0.0214098 -SPRratio_1980 0.589656 0.0210453 -SPRratio_1981 0.606836 0.0210602 -SPRratio_1982 0.627227 0.0212536 -SPRratio_1983 0.651049 0.0216371 -SPRratio_1984 0.677996 0.0222447 -SPRratio_1985 0.706295 0.0231042 -SPRratio_1986 0.732763 0.0242218 -SPRratio_1987 0.727578 0.0268457 -SPRratio_1988 0.7114 0.030025 -SPRratio_1989 0.685783 0.0336003 -SPRratio_1990 0.651695 0.0373054 -SPRratio_1991 0.607533 0.0408804 -SPRratio_1992 0.614677 0.0431612 -SPRratio_1993 0.624631 0.0459225 -SPRratio_1994 0.635771 0.0492271 -SPRratio_1995 0.645567 0.0531359 -SPRratio_1996 0.651041 0.0577063 -SPRratio_1997 0.651071 0.0629471 -SPRratio_1998 0.647205 0.0687727 -SPRratio_1999 0.642102 0.075115 -SPRratio_2000 0.637359 0.0819357 -SPRratio_2001 0.632934 0.0891385 -SPRratio_2002 0.494143 0.053121 -SPRratio_2003 0.500377 0.0500199 -SPRratio_2004 0.505371 0.0477531 +SPRratio_1971 0.0927787 0.00810625 +SPRratio_1972 0.17324 0.0136346 +SPRratio_1973 0.244591 0.017394 +SPRratio_1974 0.308602 0.0198801 +SPRratio_1975 0.365645 0.0213573 +SPRratio_1976 0.415944 0.0220108 +SPRratio_1977 0.4611 0.0220763 +SPRratio_1978 0.503878 0.0218102 +SPRratio_1979 0.546351 0.0214312 +SPRratio_1980 0.589606 0.0210704 +SPRratio_1981 0.606784 0.0210888 +SPRratio_1982 0.627172 0.0212859 +SPRratio_1983 0.650989 0.0216734 +SPRratio_1984 0.677929 0.0222853 +SPRratio_1985 0.706218 0.023149 +SPRratio_1986 0.732669 0.0242704 +SPRratio_1987 0.727455 0.0268993 +SPRratio_1988 0.711244 0.0300839 +SPRratio_1989 0.685591 0.033665 +SPRratio_1990 0.651468 0.0373756 +SPRratio_1991 0.607274 0.0409546 +SPRratio_1992 0.614397 0.0432422 +SPRratio_1993 0.624327 0.0460106 +SPRratio_1994 0.635439 0.0493221 +SPRratio_1995 0.645199 0.0532368 +SPRratio_1996 0.65063 0.0578109 +SPRratio_1997 0.650605 0.0630529 +SPRratio_1998 0.646676 0.0688775 +SPRratio_1999 0.6415 0.0752168 +SPRratio_2000 0.636669 0.0820322 +SPRratio_2001 0.632135 0.0892255 +SPRratio_2002 0.49447 0.0530312 +SPRratio_2003 0.500697 0.0499421 +SPRratio_2004 0.505699 0.0476803 #_F Basis= _abs_F;_with_F=Exploit(bio) -F_1971 0.00638756 0.000565962 -F_1972 0.0128023 0.00111141 -F_1973 0.0192396 0.00165513 -F_1974 0.025394 0.00209572 -F_1975 0.0314962 0.00248976 -F_1976 0.0382317 0.00293533 -F_1977 0.0452696 0.00336307 -F_1978 0.0529908 0.00382205 -F_1979 0.0618244 0.00441426 -F_1980 0.0723148 0.00517488 -F_1981 0.0774266 0.00567541 -F_1982 0.083778 0.00636115 -F_1983 0.0910788 0.00725588 -F_1984 0.099709 0.00848109 -F_1985 0.105764 0.00994277 -F_1986 0.11142 0.0112067 -F_1987 0.107401 0.0116606 -F_1988 0.101522 0.011971 -F_1989 0.0936897 0.0117836 -F_1990 0.0843305 0.0114014 -F_1991 0.0734872 0.0106227 -F_1992 0.0758499 0.0117131 -F_1993 0.0785582 0.0130475 -F_1994 0.0794795 0.0142649 -F_1995 0.0796943 0.0157451 -F_1996 0.0785474 0.0169313 -F_1997 0.0780326 0.0182052 -F_1998 0.078023 0.0197552 -F_1999 0.0766185 0.0210303 -F_2000 0.0757402 0.0224331 -F_2001 0.0751488 0.0238976 -F_2002 0.0471081 0.00849001 -F_2003 0.0486815 0.00819398 -F_2004 0.0499299 0.00800395 +F_1971 0.00638534 0.000566005 +F_1972 0.012798 0.00111157 +F_1973 0.0192332 0.00165547 +F_1974 0.0253859 0.0020965 +F_1975 0.0314864 0.00249096 +F_1976 0.0382201 0.00293702 +F_1977 0.0452562 0.00336536 +F_1978 0.0529755 0.00382508 +F_1979 0.0618063 0.00441831 +F_1980 0.0722932 0.00518015 +F_1981 0.0774023 0.00568172 +F_1982 0.08375 0.00636868 +F_1983 0.0910456 0.00726476 +F_1984 0.0996691 0.00849162 +F_1985 0.105712 0.0099558 +F_1986 0.111355 0.0112201 +F_1987 0.107329 0.0116741 +F_1988 0.101445 0.0119844 +F_1989 0.0936108 0.0117957 +F_1990 0.0842523 0.0114122 +F_1991 0.0734131 0.0106318 +F_1992 0.0757667 0.0117221 +F_1993 0.0784652 0.0130559 +F_1994 0.0793754 0.0142711 +F_1995 0.0795761 0.0157487 +F_1996 0.0784169 0.0169294 +F_1997 0.0778872 0.0181967 +F_1998 0.0778586 0.0197387 +F_1999 0.0764356 0.0210022 +F_2000 0.07553 0.0223903 +F_2001 0.0748986 0.0238342 +F_2002 0.0471222 0.0084749 +F_2003 0.0487058 0.00818151 +F_2004 0.0499741 0.00799362 #_Depletion Basis= 100%*Virgin_Biomass -Bratio_1972 0.976729 0.0579349 -Bratio_1973 0.96659 0.0570609 -Bratio_1974 0.951242 0.0561049 -Bratio_1975 0.932184 0.0551957 -Bratio_1976 0.912596 0.054439 -Bratio_1977 0.894954 0.0538988 -Bratio_1978 0.877303 0.0536025 -Bratio_1979 0.854577 0.0533022 -Bratio_1980 0.82285 0.0526109 -Bratio_1981 0.780252 0.0513052 -Bratio_1982 0.73258 0.0496025 -Bratio_1983 0.679379 0.0475847 -Bratio_1984 0.620974 0.0453868 -Bratio_1985 0.55924 0.0432373 -Bratio_1986 0.49791 0.0414147 -Bratio_1987 0.442574 0.0401688 -Bratio_1988 0.404298 0.0396656 -Bratio_1989 0.381527 0.0400561 -Bratio_1990 0.368618 0.0414014 -Bratio_1991 0.360859 0.0433746 -Bratio_1992 0.356186 0.0456197 -Bratio_1993 0.347779 0.0479791 -Bratio_1994 0.336151 0.0504682 -Bratio_1995 0.322968 0.0532305 -Bratio_1996 0.311062 0.0565598 -Bratio_1997 0.303449 0.0608862 -Bratio_1998 0.301576 0.0666334 -Bratio_1999 0.304453 0.0739212 -Bratio_2000 0.309493 0.0825113 -Bratio_2001 0.314932 0.0920963 -Bratio_2002 0.320403 0.102449 -Bratio_2003 0.337018 0.103941 -Bratio_2004 0.351906 0.105075 +Bratio_1972 0.976564 0.0579245 +Bratio_1973 0.96642 0.0570514 +Bratio_1974 0.951071 0.0560969 +Bratio_1975 0.932015 0.0551903 +Bratio_1976 0.912426 0.0544369 +Bratio_1977 0.894779 0.0538991 +Bratio_1978 0.877121 0.053604 +Bratio_1979 0.854395 0.0533049 +Bratio_1980 0.822675 0.0526157 +Bratio_1981 0.780093 0.0513131 +Bratio_1982 0.73244 0.0496146 +Bratio_1983 0.679264 0.0476021 +Bratio_1984 0.62089 0.045411 +Bratio_1985 0.55919 0.0432694 +Bratio_1986 0.497896 0.0414555 +Bratio_1987 0.4426 0.0402186 +Bratio_1988 0.404361 0.0397237 +Bratio_1989 0.381626 0.0401228 +Bratio_1990 0.36875 0.0414781 +Bratio_1991 0.361023 0.0434624 +Bratio_1992 0.356379 0.045719 +Bratio_1993 0.348001 0.0480899 +Bratio_1994 0.336403 0.0505903 +Bratio_1995 0.323251 0.053364 +Bratio_1996 0.311379 0.0567052 +Bratio_1997 0.303809 0.061045 +Bratio_1998 0.301994 0.0668087 +Bratio_1999 0.304943 0.0741171 +Bratio_2000 0.310073 0.0827328 +Bratio_2001 0.315624 0.0923494 +Bratio_2002 0.321236 0.102742 +Bratio_2003 0.337939 0.10426 +Bratio_2004 0.352952 0.10543 #_Mgmt_Quantity -SSB_unfished 60830.8 5707.92 -Totbio_unfished 157967 13212.7 -SmryBio_unfished 157965 13212.5 -Recr_unfished 39739.2 3728.84 -SSB_Btgt 24332.3 2283.17 -SPR_Btgt 0.440418 0.0839198 -annF_Btgt 0.0608719 0.0158403 -Dead_Catch_Btgt 4676.13 1390.64 -SSB_SPR 21696.1 5632.05 -annF_SPR 0.0689598 0.000800643 -Dead_Catch_SPR 4863.32 1228.51 -SSB_MSY 21696.1 5632.05 -SPR_MSY 0.4 3.44165e-16 -annF_MSY 0.0689598 0.000800643 -Dead_Catch_MSY 4863.32 1228.51 -Ret_Catch_MSY 4863.32 1228.51 -B_MSY/SSB_unfished 0.356663 0.0964805 -ForeCatch_2002 3150.93 1542.92 -ForeCatch_2003 3358.27 1560.3 -ForeCatch_2004 3533.48 1569.67 -OFLCatch_2002 4525.01 1557.41 -OFLCatch_2003 4719.79 1571.07 -OFLCatch_2004 4881.08 1576.76 +SSB_unfished 60860.5 5714.06 +Totbio_unfished 158051 13228.3 +SmryBio_unfished 158049 13228.1 +Recr_unfished 39762.6 3733.23 +SSB_Btgt 24344.2 2285.62 +SPR_Btgt 0.440943 0.0841333 +annF_Btgt 0.0607656 0.0158556 +Dead_Catch_Btgt 4668.92 1391.96 +SSB_SPR 21669.9 5659.42 +annF_SPR 0.0689515 0.000799979 +Dead_Catch_SPR 4857.21 1234.7 +SSB_MSY 21669.9 5659.42 +SPR_MSY 0.4 3.38237e-16 +annF_MSY 0.0689515 0.000799979 +Dead_Catch_MSY 4857.21 1234.7 +Ret_Catch_MSY 4857.21 1234.7 +B_MSY/SSB_unfished 0.356059 0.0969076 +ForeCatch_2002 3164.9 1548.59 +ForeCatch_2003 3374.01 1566.58 +ForeCatch_2004 3551.2 1576.61 +OFLCatch_2002 4539.89 1563.01 +OFLCatch_2003 4736.62 1577.24 +OFLCatch_2004 4899.97 1583.57 #_Extra_stdev -ln(SPB)_1971 10.997 0.0907017 -ln(SPB)_1986 10.3185 0.101458 -ln(SPB)_2001 9.86045 0.317957 -SmryBio_Virgin 157965 0.0 -SmryBio_Initial 157965 0.0 -SmryBio_1971 156554 0.0 -SmryBio_1972 156222 0.0 -SmryBio_1973 155928 0.0 -SmryBio_1974 157518 0.0 -SmryBio_1975 158749 0.0 -SmryBio_1976 156938 0.0 -SmryBio_1977 154629 0.0 -SmryBio_1978 150969 0.0 -SmryBio_1979 145574 0.0 -SmryBio_1980 138284 0.0 -SmryBio_1981 129155 0.0 -SmryBio_1982 119363 0.0 -SmryBio_1983 109795 0.0 -SmryBio_1984 100292 0.0 -SmryBio_1985 94550.3 0.0 -SmryBio_1986 89750.2 0.0 -SmryBio_1987 83798.3 0.0 -SmryBio_1988 78800.7 0.0 -SmryBio_1989 74714.7 0.0 -SmryBio_1990 71148.6 0.0 -SmryBio_1991 68039.1 0.0 -SmryBio_1992 65919.7 0.0 -SmryBio_1993 63647.1 0.0 -SmryBio_1994 62909.3 0.0 -SmryBio_1995 62739.7 0.0 -SmryBio_1996 63655.8 0.0 -SmryBio_1997 64075.8 0.0 -SmryBio_1998 64083.7 0.0 -SmryBio_1999 65258.4 0.0 -SmryBio_2000 66015.1 0.0 -SmryBio_2001 66534.6 0.0 -SmryBio_2002 66887.3 0.0 -SmryBio_2003 68984.5 0.0 -SmryBio_2004 70768.9 0.0 +ln(SPB)_1971 10.9973 0.0907301 +ln(SPB)_1986 10.319 0.101622 +ln(SPB)_2001 9.86313 0.318126 +SmryBio_Virgin 158049 0.0 +SmryBio_Initial 158049 0.0 +SmryBio_1971 156609 0.0 +SmryBio_1972 156275 0.0 +SmryBio_1973 155980 0.0 +SmryBio_1974 157568 0.0 +SmryBio_1975 158799 0.0 +SmryBio_1976 156985 0.0 +SmryBio_1977 154675 0.0 +SmryBio_1978 151013 0.0 +SmryBio_1979 145616 0.0 +SmryBio_1980 138326 0.0 +SmryBio_1981 129195 0.0 +SmryBio_1982 119403 0.0 +SmryBio_1983 109835 0.0 +SmryBio_1984 100332 0.0 +SmryBio_1985 94597 0.0 +SmryBio_1986 89802.5 0.0 +SmryBio_1987 83854 0.0 +SmryBio_1988 78860.3 0.0 +SmryBio_1989 74777.7 0.0 +SmryBio_1990 71214.7 0.0 +SmryBio_1991 68107.8 0.0 +SmryBio_1992 65992.1 0.0 +SmryBio_1993 63722.5 0.0 +SmryBio_1994 62991.8 0.0 +SmryBio_1995 62833 0.0 +SmryBio_1996 63761.8 0.0 +SmryBio_1997 64195.4 0.0 +SmryBio_1998 64219 0.0 +SmryBio_1999 65414.6 0.0 +SmryBio_2000 66198.9 0.0 +SmryBio_2001 66756.9 0.0 +SmryBio_2002 67163.8 0.0 +SmryBio_2003 69273.1 0.0 +SmryBio_2004 71060.7 0.0 #_survey_stdev 0 #_Biomass -TotBio_Virgin 157967 0.0 -TotBio_Initial 157967 0.0 -TotBio_1971 156557 0.0 -TotBio_1972 156225 0.0 -TotBio_1973 155933 0.0 -TotBio_1974 157522 0.0 -TotBio_1975 158751 0.0 -TotBio_1976 156940 0.0 -TotBio_1977 154631 0.0 -TotBio_1978 150971 0.0 -TotBio_1979 145575 0.0 -TotBio_1980 138285 0.0 -TotBio_1981 129156 0.0 -TotBio_1982 119365 0.0 -TotBio_1983 109796 0.0 -TotBio_1984 100296 0.0 -TotBio_1985 94553.6 0.0 -TotBio_1986 89751.8 0.0 -TotBio_1987 83799.8 0.0 -TotBio_1988 78802.2 0.0 -TotBio_1989 74716 0.0 -TotBio_1990 71149.7 0.0 -TotBio_1991 68040.4 0.0 -TotBio_1992 65921 0.0 -TotBio_1993 63649.5 0.0 -TotBio_1994 62911.7 0.0 -TotBio_1995 62742.5 0.0 -TotBio_1996 63657.7 0.0 -TotBio_1997 64077.4 0.0 -TotBio_1998 64086.2 0.0 -TotBio_1999 65260.4 0.0 -TotBio_2000 66017 0.0 -TotBio_2001 66536.5 0.0 -TotBio_2002 66889.2 0.0 -TotBio_2003 68986.4 0.0 -TotBio_2004 70770.8 0.0 +TotBio_Virgin 158051 0.0 +TotBio_Initial 158051 0.0 +TotBio_1971 156611 0.0 +TotBio_1972 156278 0.0 +TotBio_1973 155985 0.0 +TotBio_1974 157572 0.0 +TotBio_1975 158801 0.0 +TotBio_1976 156988 0.0 +TotBio_1977 154677 0.0 +TotBio_1978 151015 0.0 +TotBio_1979 145618 0.0 +TotBio_1980 138327 0.0 +TotBio_1981 129196 0.0 +TotBio_1982 119404 0.0 +TotBio_1983 109836 0.0 +TotBio_1984 100336 0.0 +TotBio_1985 94600.3 0.0 +TotBio_1986 89804.1 0.0 +TotBio_1987 83855.5 0.0 +TotBio_1988 78861.8 0.0 +TotBio_1989 74778.9 0.0 +TotBio_1990 71215.8 0.0 +TotBio_1991 68109.1 0.0 +TotBio_1992 65993.4 0.0 +TotBio_1993 63724.9 0.0 +TotBio_1994 62994.2 0.0 +TotBio_1995 62835.7 0.0 +TotBio_1996 63763.7 0.0 +TotBio_1997 64196.9 0.0 +TotBio_1998 64221.5 0.0 +TotBio_1999 65416.6 0.0 +TotBio_2000 66200.8 0.0 +TotBio_2001 66758.7 0.0 +TotBio_2002 67165.7 0.0 +TotBio_2003 69275 0.0 +TotBio_2004 71062.6 0.0 TotCatch_Virgin 0 0.0 TotCatch_Initial 0 0.0 TotCatch_1971 1000 0.0 @@ -442,6 +439,6 @@ TotCatch_1998 5000 0.0 TotCatch_1999 5000 0.0 TotCatch_2000 5000 0.0 TotCatch_2001 5000 0.0 -TotCatch_2002 3150.93 0.0 -TotCatch_2003 3358.27 0.0 -TotCatch_2004 3533.48 0.0 +TotCatch_2002 3164.9 0.0 +TotCatch_2003 3374.01 0.0 +TotCatch_2004 3551.2 0.0 diff --git a/models/platoons/starter.ss b/models/platoons/starter.ss index 118ed17..8620d7f 100644 --- a/models/platoons/starter.ss +++ b/models/platoons/starter.ss @@ -14,7 +14,7 @@ platoons_ctl.ss 0 # write 1st iteration details to echoinput.sso file (0,1) 0 # write parm values to ParmTrace.sso (0=no,1=good,active; 2=good,all; 3=every_iter,all_parms; 4=every,active) 0 # write to cumreport.sso (0=no,1=like×eries; 2=add survey fits) -0 # Include prior_like for non-estimated parameters (0,1) +1 # Include prior_like for non-estimated parameters (0,1) 1 # Use Soft Boundaries to aid convergence (0,1) (recommended) # 3 # Number of datafiles to produce: 0 turns off all *.ss_new; 1st is data_echo.ss_new, 2nd is data_expval.ss, 3rd and higher are data_boot_**N.ss, diff --git a/models/platoons/warning.sso b/models/platoons/warning.sso index 5bdbca2..886c00d 100644 --- a/models/platoons/warning.sso +++ b/models/platoons/warning.sso @@ -1,10 +1,4 @@ -Warning 1 : fishing fleet: 1 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month Note 1 Information: sd_ratio read is < 0, so expecting sd parameter after movement params.; search for in echoinput.sso for parm_type -Note 2 Suggestion: This model has just one settlement event. Changing to recr_dist_method 4 and removing the recruitment distribution parameters at the end of the MG parms section (below growth parameters) will produce identical results and simplify the model. -Warning 2 : At least one block pattern ends in endyr. Check the output parameter value time series to see if the values in forecast years are as intended. -Warning 3 : bias adjustment ramp extends into forecast; biasadj set to 0.0 internally for forecast years -Warning 4 : Fleet:_1min bound on parameter for size at peak is 5; which is < min databin (22), so illogical. -Warning 5 : Fleet:_2min bound on parameter for size at peak is 5; which is < min databin (22), so illogical. -Warning 6 : Setting in starter does not request all priors, and 29 parameters have priors and are not estimated, so their prior not included in obj_fun. -Note 3 Information: A revised protocol for the Fcast_yr specification is available and recommended. - 6 warnings and 3 notes +Warning 1 : At least one block pattern ends in endyr. Check the output parameter value time series to see if the values in forecast years are as intended. +Note 2 Information: A revised protocol for the Fcast_yr specification is available and recommended. + 1 warning and 2 notes diff --git a/models/tagging_mirrored_sel/data_boot_new.ss b/models/tagging_mirrored_sel/data_boot_new.ss index 6eb7144..4c1ea34 100644 --- a/models/tagging_mirrored_sel/data_boot_new.ss +++ b/models/tagging_mirrored_sel/data_boot_new.ss @@ -26,11 +26,11 @@ #_catch_mult: 0=no; 1=yes #_rows are fleets #_fleet_type fishery_timing area catch_units need_catch_mult fleetname - 1 1 1 1 0 cpue1 # 1 - 1 1 1 1 0 cpue2 # 2 - 1 1 1 1 0 cpue3 # 3 - 1 1 1 1 0 cpue4 # 4 - 1 1 1 1 0 Cpue5 # 5 + 1 -1 1 1 0 cpue1 # 1 + 1 -1 1 1 0 cpue2 # 2 + 1 -1 1 1 0 cpue3 # 3 + 1 -1 1 1 0 cpue4 # 4 + 1 -1 1 1 0 Cpue5 # 5 #Bycatch_fleet_input_goes_next #a: fleet index #b: 1=include dead bycatch in total dead catch for F0.1 and MSY optimizations and forecast ABC; 2=omit from total catch for these purposes (but still include the mortality) @@ -532,78 +532,78 @@ 23 #_N_LengthBins; then enter lower edge of each length bin 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 #_yr month fleet sex part Nsamp datavector(female-male) - 1974 7 2 1 2 50 1 0 0 4 3 4 4 9 8 9 1 3 2 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 1975 7 2 1 2 50 0 2 1 3 2 3 5 6 8 7 5 2 3 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 1976 7 2 1 2 50 0 2 1 2 4 6 4 8 7 4 6 3 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 1977 7 2 1 2 50 0 0 1 1 3 12 7 5 8 4 2 1 3 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 1978 7 2 1 2 50 0 0 1 4 4 5 12 4 8 5 0 3 1 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 1979 7 2 1 2 50 1 1 1 2 1 6 10 5 6 1 8 2 2 1 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 - 1980 7 2 1 2 50 1 1 3 2 0 6 7 13 7 1 5 1 1 0 2 0 0 0 0 0 0 0 0 0 0 0 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2 0 50 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 1 1 4 7 6 8 5 3 5 4 3 0 0 0 0 0 0 0 + 1974 7 4 2 0 50 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 4 3 6 7 12 6 6 2 0 0 0 0 0 1 0 0 -9999 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 # 10 #_N_age_bins diff --git a/models/tagging_mirrored_sel/ss.par b/models/tagging_mirrored_sel/ss.par index 171d713..d2ee3ed 100644 --- a/models/tagging_mirrored_sel/ss.par +++ b/models/tagging_mirrored_sel/ss.par @@ -1,8 +1,8 @@ -# Number of parameters = 49 Objective function value = 959.214126108412 Maximum gradient component = 0.00486940267140580 +# Number of parameters = 49 Objective function value = 1051.45734275970 Maximum gradient component = 0.000901475460604504 # dummy_parm: 1.00000000000 # MGparm[1]: -0.150000148513 +0.150000269654 # MGparm[2]: 54.4000000000 # MGparm[3]: @@ -10,9 +10,9 @@ # MGparm[4]: 0.123000000000 # MGparm[5]: -0.0685696806623 +0.0685946778849 # MGparm[6]: -0.0278141833621 +0.0276727261782 # MGparm[7]: 1.22000000000e-06 # MGparm[8]: @@ -26,7 +26,7 @@ # MGparm[12]: 0.00000000000 # MGparm[13]: -0.150000166386 +0.150000108350 # MGparm[14]: 52.9000000000 # MGparm[15]: @@ -34,9 +34,9 @@ # MGparm[16]: 0.253000000000 # MGparm[17]: -0.0460607557904 +0.0460619693256 # MGparm[18]: -0.0677679006969 +0.0677320291326 # MGparm[19]: 4.38000000000e-06 # MGparm[20]: @@ -52,7 +52,7 @@ # MGparm[25]: 0.500000000000 # SR_parm[1]: -6.56044732536 +6.56097261564 # SR_parm[2]: 0.900000000000 # SR_parm[3]: @@ -62,11 +62,11 @@ # SR_parm[5]: 0.00000000000 # recdev1: - -0.415582467242 -0.364470093138 0.230329514389 0.678983058057 -0.0392970466230 0.179410506041 -0.0288961891222 0.111678933960 -0.218670341300 0.0166235694461 -0.0110340009200 -0.189561587380 0.0579246154146 -0.355667589304 -0.0980981646749 0.312478445827 -0.335778128967 -0.0383914985966 0.275017679388 -0.177244984601 0.0868404667151 -0.0446391011587 0.133795925598 0.0689071617960 -0.0544517886088 -0.00757534229677 0.294358278266 0.115015937539 0.0276093236149 -0.376054291589 -0.451285095679 -0.0685621875910 0.00193083238244 0.0523239977107 0.241766029921 0.174739420251 0.181529919957 0.0359535954715 -0.00195731295423 + -0.418516397317 -0.364562184141 0.232085209689 0.678556289051 -0.0381103084304 0.181446350381 -0.0267464414002 0.112659828180 -0.217541473525 0.0180450152916 -0.00878377038277 -0.186678709591 0.0601018819937 -0.354925256118 -0.0976927858627 0.312613836437 -0.336070036277 -0.0381985650909 0.275355299383 -0.176620154246 0.0871446233718 -0.0452881613854 0.135197738561 0.0691916455736 -0.0550704840316 -0.00857795029084 0.294183387895 0.112772152681 0.0268715002430 -0.376570251742 -0.452308546681 -0.0706308475603 -0.000835651817315 0.0511660524715 0.240551116378 0.174124395641 0.180400272071 0.0351754223420 -0.00391404174439 # Fcast_recruitments: 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 # Q_parm[1]: --3.17096826212 +-3.17164017510 # selparm[1]: 32.5000000000 # selparm[2]: @@ -530,15 +530,15 @@ # selparm[231]: 1.00000000000 # selparm[232]: --4.25267957022 +-4.44528416807 # selparm[233]: 8.00000000000 # selparm[234]: -2.34493147285 +2.37455485039 # selparm[235]: 9.00000000000 # selparm[236]: --1.77664450125 +-1.78702377383 # TG_parm[1]: -2.57100000000 # TG_parm[2]: diff --git a/models/tagging_mirrored_sel/ss_summary.sso b/models/tagging_mirrored_sel/ss_summary.sso index b8ee855..0c5e92d 100644 --- a/models/tagging_mirrored_sel/ss_summary.sso +++ b/models/tagging_mirrored_sel/ss_summary.sso @@ -1,47 +1,47 @@ #V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 data_boot_new.ss #_DataFile control.ss #_Control -Run_Date: Tue Oct 31 17:09:47 2023 -Final_phase: 5 N_iterations: 409 +Run_Date: Wed Nov 1 11:21:02 2023 +Final_phase: 5 N_iterations: 504 #_LIKELIHOOD Label logL*Lambda -TOTAL_LogL 959.214 -Catch 1.1685e-08 -Survey -44.8122 -Length_comp 578.776 -Age_comp 38.5982 -Tag_Data_1 0.334667 -Tag_Data_2 408.153 -Recruitment -23.4645 +TOTAL_LogL 1051.46 +Catch 1.2144e-08 +Survey -44.7213 +Length_comp 578.791 +Age_comp 38.6084 +Tag_Data_1 0.334663 +Tag_Data_2 408.251 +Recruitment -23.4583 InitEQ_regime 0 -Sum_recdevs -3.17454e-16 +Sum_recdevs -5.56846e-16 Forecast_Recruitment 0 -Parm_priors 1.62747 -Parm_softbounds 0.000759331 +Parm_priors 93.6512 +Parm_softbounds 0.000777399 Parm_devs 0 F_Ballpark 0 Crash_Pen 0 #_PARAMETERS #label value se active? range #_BIOLOGY -NatM_uniform_Fem_GP_1 0.15 6.56055e-05 Act 9.9008e-07 +NatM_uniform_Fem_GP_1 0.15 0.000104414 Act 1.79768e-06 L_at_Amin_Fem_GP_1 54.4 0 Fix 0.52 L_at_Amax_Fem_GP_1 201.9 0 Fix 0.348286 VonBert_K_Fem_GP_1 0.123 0 Fix 0.243333 -CV_young_Fem_GP_1 0.0685697 0.0144813 Act 0.272823 -CV_old_Fem_GP_1 0.0278142 0.0433513 Act 0.109475 +CV_young_Fem_GP_1 0.0685947 0.0144406 Act 0.272923 +CV_old_Fem_GP_1 0.0276727 0.0431736 Act 0.108908 Wtlen_1_Fem_GP_1 1.22e-06 0 Fix 0.5 Wtlen_2_Fem_GP_1 3.18 0 Fix 0.393333 Mat50%_Fem_GP_1 63.7 0 Fix 0.0665005 Mat_slope_Fem_GP_1 -9 0 Fix 0.000990099 Eggs/kg_inter_Fem_GP_1 1 0 Fix 0.666667 Eggs/kg_slope_wt_Fem_GP_1 0 0 Fix 0.5 -NatM_uniform_Mal_GP_1 0.15 5.80552e-05 Act 1.10923e-06 +NatM_uniform_Mal_GP_1 0.15 4.19561e-05 Act 7.2233e-07 L_at_Amin_Mal_GP_1 52.9 0 Fix 0.504211 L_at_Amax_Mal_GP_1 138.7 0 Fix 0.167714 VonBert_K_Mal_GP_1 0.253 0 Fix 0.676664 -CV_young_Mal_GP_1 0.0460608 0.0114914 Act 0.182608 -CV_old_Mal_GP_1 0.0677679 0.014108 Act 0.26961 +CV_young_Mal_GP_1 0.046062 0.0114878 Act 0.182612 +CV_old_Mal_GP_1 0.067732 0.0141276 Act 0.269466 Wtlen_1_Mal_GP_1 4.38e-06 0 Fix 0.500001 Wtlen_2_Mal_GP_1 2.97 0 Fix 0.323333 RecrDist_GP_1 0 0 Fix 0.5 @@ -50,50 +50,50 @@ RecrDist_month_1 0 0 Fix 0.5 CohortGrowDev 1 0 Fix 0.0909091 FracFemale_GP_1 0.5 0 Fix 0.499999 #_SPAWN_RECR -SR_LN(R0) 6.56045 0.030086 Act 0.397175 +SR_LN(R0) 6.56097 0.0300896 Act 0.397212 SR_BH_steep 0.9 0 Fix 0.874999 SR_sigmaR 0.4 0 Fix 0.6 SR_regime 0 0 Fix 0.5 SR_autocorr 0 0 Fix 0 -Main_RecrDev_1964 -0.415582 0.304683 Act 0.458442 -Main_RecrDev_1965 -0.36447 0.273699 Act 0.463553 -Main_RecrDev_1966 0.23033 0.249174 Act 0.523033 -Main_RecrDev_1967 0.678983 0.211137 Act 0.567898 -Main_RecrDev_1968 -0.039297 0.243028 Act 0.49607 -Main_RecrDev_1969 0.179411 0.187829 Act 0.517941 -Main_RecrDev_1970 -0.0288962 0.190335 Act 0.49711 -Main_RecrDev_1971 0.111679 0.15888 Act 0.511168 -Main_RecrDev_1972 -0.21867 0.190558 Act 0.478133 -Main_RecrDev_1973 0.0166236 0.155329 Act 0.501662 -Main_RecrDev_1974 -0.011034 0.152728 Act 0.498897 -Main_RecrDev_1975 -0.189562 0.163508 Act 0.481044 -Main_RecrDev_1976 0.0579246 0.137918 Act 0.505792 -Main_RecrDev_1977 -0.355668 0.174593 Act 0.464433 -Main_RecrDev_1978 -0.0980982 0.150094 Act 0.49019 -Main_RecrDev_1979 0.312478 0.116259 Act 0.531248 -Main_RecrDev_1980 -0.335778 0.165763 Act 0.466422 -Main_RecrDev_1981 -0.0383915 0.13449 Act 0.496161 -Main_RecrDev_1982 0.275018 0.102145 Act 0.527502 -Main_RecrDev_1983 -0.177245 0.126745 Act 0.482275 -Main_RecrDev_1984 0.0868405 0.111746 Act 0.508684 -Main_RecrDev_1985 -0.0446391 0.124837 Act 0.495536 -Main_RecrDev_1986 0.133796 0.108699 Act 0.51338 -Main_RecrDev_1987 0.0689072 0.104054 Act 0.506891 -Main_RecrDev_1988 -0.0544518 0.107971 Act 0.494555 -Main_RecrDev_1989 -0.00757534 0.115765 Act 0.499242 -Main_RecrDev_1990 0.294358 0.108581 Act 0.529436 -Main_RecrDev_1991 0.115016 0.130441 Act 0.511502 -Main_RecrDev_1992 0.0276093 0.137072 Act 0.502761 -Main_RecrDev_1993 -0.376054 0.156665 Act 0.462395 -Main_RecrDev_1994 -0.451285 0.157879 Act 0.454871 -Main_RecrDev_1995 -0.0685622 0.132189 Act 0.493144 -Main_RecrDev_1996 0.00193083 0.13802 Act 0.500193 -Main_RecrDev_1997 0.052324 0.140565 Act 0.505232 -Main_RecrDev_1998 0.241766 0.131736 Act 0.524177 -Main_RecrDev_1999 0.174739 0.141722 Act 0.517474 -Main_RecrDev_2000 0.18153 0.147876 Act 0.518153 -Main_RecrDev_2001 0.0359536 0.183533 Act 0.503595 -Main_RecrDev_2002 -0.00195731 0.269992 Act 0.499804 +Main_RecrDev_1964 -0.418516 0.304414 Act 0.458148 +Main_RecrDev_1965 -0.364562 0.273666 Act 0.463544 +Main_RecrDev_1966 0.232085 0.248543 Act 0.523208 +Main_RecrDev_1967 0.678556 0.210855 Act 0.567856 +Main_RecrDev_1968 -0.0381103 0.243031 Act 0.496189 +Main_RecrDev_1969 0.181446 0.187829 Act 0.518145 +Main_RecrDev_1970 -0.0267464 0.190315 Act 0.497325 +Main_RecrDev_1971 0.11266 0.158976 Act 0.511266 +Main_RecrDev_1972 -0.217541 0.190594 Act 0.478246 +Main_RecrDev_1973 0.018045 0.155393 Act 0.501804 +Main_RecrDev_1974 -0.00878377 0.152786 Act 0.499122 +Main_RecrDev_1975 -0.186679 0.163533 Act 0.481332 +Main_RecrDev_1976 0.0601019 0.137983 Act 0.50601 +Main_RecrDev_1977 -0.354925 0.174692 Act 0.464507 +Main_RecrDev_1978 -0.0976928 0.150199 Act 0.490231 +Main_RecrDev_1979 0.312614 0.116419 Act 0.531261 +Main_RecrDev_1980 -0.33607 0.165883 Act 0.466393 +Main_RecrDev_1981 -0.0381986 0.134589 Act 0.49618 +Main_RecrDev_1982 0.275355 0.102338 Act 0.527535 +Main_RecrDev_1983 -0.17662 0.126878 Act 0.482338 +Main_RecrDev_1984 0.0871446 0.111847 Act 0.508714 +Main_RecrDev_1985 -0.0452882 0.125032 Act 0.495471 +Main_RecrDev_1986 0.135198 0.108778 Act 0.51352 +Main_RecrDev_1987 0.0691916 0.104257 Act 0.506919 +Main_RecrDev_1988 -0.0550705 0.108123 Act 0.494493 +Main_RecrDev_1989 -0.00857795 0.115925 Act 0.499142 +Main_RecrDev_1990 0.294183 0.108716 Act 0.529418 +Main_RecrDev_1991 0.112772 0.130651 Act 0.511277 +Main_RecrDev_1992 0.0268715 0.137161 Act 0.502687 +Main_RecrDev_1993 -0.37657 0.156795 Act 0.462343 +Main_RecrDev_1994 -0.452309 0.157959 Act 0.454769 +Main_RecrDev_1995 -0.0706308 0.132354 Act 0.492937 +Main_RecrDev_1996 -0.000835652 0.138214 Act 0.499916 +Main_RecrDev_1997 0.0511661 0.140683 Act 0.505117 +Main_RecrDev_1998 0.240551 0.131922 Act 0.524055 +Main_RecrDev_1999 0.174124 0.141873 Act 0.517412 +Main_RecrDev_2000 0.1804 0.148133 Act 0.51804 +Main_RecrDev_2001 0.0351754 0.183721 Act 0.503517 +Main_RecrDev_2002 -0.00391404 0.270468 Act 0.499609 Late_RecrDev_2003 0 0 Fix 0.5 Late_RecrDev_2004 0 0 Fix 0.5 Late_RecrDev_2005 0 0 Fix 0.5 @@ -101,7 +101,7 @@ Late_RecrDev_2006 0 0 Fix 0.5 ForeRecr_2007 0 0 Fix 0.5 ForeRecr_2008 0 0 Fix 0.5 #_Catchability -LnQ_base_cpue2(2) -3.17097 0 Fix 0.394301 +LnQ_base_cpue2(2) -3.17164 0 Fix 0.394279 #_Selectivity SizeSel_P1_cpue1(1) 32.5 0 Fix 0.0631263 SizeSel_P2_cpue1(1) 247.5 0 Fix 0.493988 @@ -334,11 +334,11 @@ SizeSel_P44_Cpue5(5) -8.99986 0 Fix -0.15686 SizeSel_P45_Cpue5(5) -9.93602 0 Fix -0.175216 SizeSel_P46_Cpue5(5) -10.905 0 Fix -0.194216 Age_DblN_peak_cpue1(1) 1 0 Fix 0.02 -Age_DblN_top_logit_cpue1(1) -4.25268 1.34711 Act 0.287366 +Age_DblN_top_logit_cpue1(1) -4.44528 1.63845 Act 0.277736 Age_DblN_ascend_se_cpue1(1) 8 0 Fix 0.818182 -Age_DblN_descend_se_cpue1(1) 2.34493 0.281237 Act 0.304085 +Age_DblN_descend_se_cpue1(1) 2.37455 0.276952 Act 0.306778 Age_DblN_start_logit_cpue1(1) 9 0 Fix 0.933333 -Age_DblN_end_logit_cpue1(1) -1.77664 0.158917 Act 0.21489 +Age_DblN_end_logit_cpue1(1) -1.78702 0.159433 Act 0.214198 #_Tag_Recapture TG_loss_init_1 -2.571 0 Fix 0.37145 TG_loss_init_2 -2.571 0 Fix 0.37145 @@ -466,619 +466,619 @@ TG_rpt_decay_fleet:_4 0 0 Fix 0.5 TG_rpt_decay_fleet:_5 0 0 Fix 0.5 #_Derived_Quantities #_Spawn_Bio -SSB_Virgin 17398.5 523.761 -SSB_Initial 17398.5 523.761 -SSB_1927 17398.5 523.761 -SSB_1928 17397.7 523.774 -SSB_1929 17396.8 523.787 -SSB_1930 17392.9 523.846 -SSB_1931 17390.5 523.861 -SSB_1932 17388.2 523.859 -SSB_1933 17384.8 523.866 -SSB_1934 17358.4 524.261 -SSB_1935 17339.4 524.423 -SSB_1936 17306.7 524.718 -SSB_1937 17249.3 525.291 -SSB_1938 17186.6 525.712 -SSB_1939 17120.8 525.922 -SSB_1940 17036.1 526.214 -SSB_1941 16943.4 526.382 -SSB_1942 16806.2 527.083 -SSB_1943 16682.9 527.14 -SSB_1944 16520.2 527.564 -SSB_1945 16346.6 527.756 -SSB_1946 16184.4 527.334 -SSB_1947 16017.7 526.711 -SSB_1948 15852.1 525.886 -SSB_1949 15643.6 525.725 -SSB_1950 15404.2 525.884 -SSB_1951 15191 525.223 -SSB_1952 15055 522.978 -SSB_1953 14892.8 521.351 -SSB_1954 14686.8 520.696 -SSB_1955 14578 518.54 -SSB_1956 14461.3 516.913 -SSB_1957 14349.6 515.582 -SSB_1958 14303.3 513.59 -SSB_1959 14282.3 511.773 -SSB_1960 14264.3 510.537 -SSB_1961 14218.2 510.294 -SSB_1962 14168.8 510.415 -SSB_1963 14101.8 510.89 -SSB_1964 14043.8 511.103 -SSB_1965 13926.6 512.047 -SSB_1966 13830 512.09 -SSB_1967 13717.9 512.155 -SSB_1968 13517.6 515.923 -SSB_1969 13249.5 523.873 -SSB_1970 12885.8 540.469 -SSB_1971 12623.9 561.393 -SSB_1972 12451.1 587.945 -SSB_1973 12253.7 620.298 -SSB_1974 11992.1 655.966 -SSB_1975 11826.3 690.825 -SSB_1976 11671.5 720.113 -SSB_1977 11478.4 740.519 -SSB_1978 11242.8 751.681 -SSB_1979 10963.5 754.151 -SSB_1980 10678.6 749.265 -SSB_1981 10335.8 738.875 -SSB_1982 9950.63 724.588 -SSB_1983 9565.06 707.435 -SSB_1984 9165.05 688.162 -SSB_1985 8735.3 667.941 -SSB_1986 8320.31 647.475 -SSB_1987 7912.97 627.148 -SSB_1988 7536.92 607.754 -SSB_1989 7193.41 589.563 -SSB_1990 6807.95 572.468 -SSB_1991 6518.26 556.822 -SSB_1992 6210.14 542.05 -SSB_1993 5911.31 528.246 -SSB_1994 5610.99 514.356 -SSB_1995 5400.07 500.749 -SSB_1996 5163.34 486.439 -SSB_1997 4974.7 472.371 -SSB_1998 4768.5 458.386 -SSB_1999 4592.46 444.604 -SSB_2000 4407.64 430.836 -SSB_2001 4206.71 417.427 -SSB_2002 4027.53 405.335 -SSB_2003 3893.14 395.66 -SSB_2004 3768 388.744 -SSB_2005 3679.51 385.52 -SSB_2006 3594.26 386.118 -SSB_2007 3532.95 391.343 -SSB_2008 3567.69 395.336 +SSB_Virgin 17407.6 524.571 +SSB_Initial 17407.6 524.571 +SSB_1927 17407.6 524.571 +SSB_1928 17406.8 524.584 +SSB_1929 17405.9 524.597 +SSB_1930 17402 524.656 +SSB_1931 17399.6 524.67 +SSB_1932 17397.3 524.668 +SSB_1933 17393.9 524.675 +SSB_1934 17367.6 525.066 +SSB_1935 17348.5 525.225 +SSB_1936 17315.8 525.517 +SSB_1937 17258.4 526.083 +SSB_1938 17195.7 526.499 +SSB_1939 17129.9 526.705 +SSB_1940 17045.2 526.991 +SSB_1941 16952.5 527.155 +SSB_1942 16815.3 527.845 +SSB_1943 16692 527.898 +SSB_1944 16529.3 528.313 +SSB_1945 16355.7 528.497 +SSB_1946 16193.5 528.074 +SSB_1947 16026.8 527.45 +SSB_1948 15861.2 526.627 +SSB_1949 15652.6 526.459 +SSB_1950 15413.3 526.608 +SSB_1951 15200.1 525.946 +SSB_1952 15064 523.714 +SSB_1953 14901.8 522.094 +SSB_1954 14695.8 521.437 +SSB_1955 14587 519.295 +SSB_1956 14470.3 517.677 +SSB_1957 14358.5 516.352 +SSB_1958 14312.2 514.375 +SSB_1959 14291.2 512.572 +SSB_1960 14273.2 511.345 +SSB_1961 14227.1 511.101 +SSB_1962 14177.6 511.218 +SSB_1963 14110.7 511.685 +SSB_1964 14052.6 511.894 +SSB_1965 13935.4 512.824 +SSB_1966 13838.8 512.867 +SSB_1967 13726.7 512.934 +SSB_1968 13526.2 516.712 +SSB_1969 13257.8 524.655 +SSB_1970 12893.8 541.178 +SSB_1971 12631.7 562.05 +SSB_1972 12458.9 588.576 +SSB_1973 12261.6 620.916 +SSB_1974 12000.5 656.574 +SSB_1975 11835.6 691.426 +SSB_1976 11682 720.71 +SSB_1977 11490.3 741.118 +SSB_1978 11256.3 752.278 +SSB_1979 10978.6 754.736 +SSB_1980 10695.3 749.83 +SSB_1981 10354.2 739.42 +SSB_1982 9970.53 725.115 +SSB_1983 9586.14 707.957 +SSB_1984 9186.98 688.69 +SSB_1985 8757.88 668.47 +SSB_1986 8343.3 648.001 +SSB_1987 7936.12 627.676 +SSB_1988 7560.12 608.284 +SSB_1989 7216.5 590.102 +SSB_1990 6830.8 573.001 +SSB_1991 6540.88 557.351 +SSB_1992 6232.38 542.565 +SSB_1993 5933.07 528.727 +SSB_1994 5632.11 514.783 +SSB_1995 5420.46 501.131 +SSB_1996 5182.74 486.77 +SSB_1997 4993.08 472.64 +SSB_1998 4785.72 458.593 +SSB_1999 4608.45 444.755 +SSB_2000 4422.21 430.951 +SSB_2001 4219.75 417.513 +SSB_2002 4039.09 405.4 +SSB_2003 3903.23 395.722 +SSB_2004 3776.64 388.824 +SSB_2005 3686.73 385.668 +SSB_2006 3600.05 386.398 +SSB_2007 3537.44 391.808 +SSB_2008 3571.01 396.035 #_Recruitment -Recr_Virgin 706.588 21.2584 -Recr_Initial 706.588 21.2584 -Recr_1927 706.588 21.2584 -Recr_1928 706.587 21.2584 -Recr_1929 706.586 21.2585 -Recr_1930 706.581 21.2585 -Recr_1931 706.579 21.2585 -Recr_1932 706.576 21.2585 -Recr_1933 706.572 21.2585 -Recr_1934 706.543 21.259 -Recr_1935 706.521 21.2592 -Recr_1936 706.484 21.2595 -Recr_1937 706.418 21.2602 -Recr_1938 706.346 21.2607 -Recr_1939 706.27 21.2611 -Recr_1940 706.171 21.2615 -Recr_1941 706.061 21.2619 -Recr_1942 705.897 21.2631 -Recr_1943 705.747 21.2635 -Recr_1944 705.546 21.2647 -Recr_1945 705.327 21.2657 -Recr_1946 705.119 21.2661 -Recr_1947 704.9 21.2664 -Recr_1948 704.678 21.2666 -Recr_1949 704.393 21.2681 -Recr_1950 704.056 21.2707 -Recr_1951 703.747 21.2723 -Recr_1952 703.546 21.2708 -Recr_1953 703.301 21.2706 -Recr_1954 702.982 21.2727 -Recr_1955 702.811 21.2711 -Recr_1956 702.624 21.2705 -Recr_1957 702.442 21.2703 -Recr_1958 702.366 21.2679 -Recr_1959 702.331 21.2652 -Recr_1960 702.301 21.2634 -Recr_1961 702.225 21.2638 -Recr_1962 702.142 21.265 -Recr_1963 702.029 21.2671 -Recr_1964 463.243 145.335 -Recr_1965 487.396 136.829 -Recr_1966 883.274 225.987 -Recr_1967 1369.23 288.894 -Recr_1968 660.639 164.727 -Recr_1969 813.379 154.443 -Recr_1970 653.191 127.221 -Recr_1971 743.728 119.238 -Recr_1972 528.901 102.963 -Recr_1973 662.139 104.487 -Recr_1974 637.127 98.8847 -Recr_1975 532.66 89.346 -Recr_1976 681.867 95.9939 -Recr_1977 450.589 80.5055 -Recr_1978 582.457 89.3888 -Recr_1979 877.216 102.004 -Recr_1980 458.216 77.5086 -Recr_1981 616.004 84.4444 -Recr_1982 841.249 86.3152 -Recr_1983 534.167 69.27 -Recr_1984 694.117 77.8431 -Recr_1985 607.063 76.8859 -Recr_1986 723.707 79.4759 -Recr_1987 676.275 71.2608 -Recr_1988 596.033 64.6425 -Recr_1989 622.798 72.9021 -Recr_1990 839.245 87.669 -Recr_1991 699.343 89.7516 -Recr_1992 638.566 86.3026 -Recr_1993 424.886 67.5527 -Recr_1994 392.465 62.8359 -Recr_1995 573.637 76.1194 -Recr_1996 613.164 84.7458 -Recr_1997 642.715 91.1677 -Recr_1998 773.73 101.048 -Recr_1999 720.96 104.391 -Recr_2000 722.912 107.785 -Recr_2001 621.964 115.86 -Recr_2002 596.024 164.641 -Recr_2003 644.486 24.005 -Recr_2004 642.072 24.1587 -Recr_2005 640.277 24.3112 -Recr_2006 638.475 24.5777 -Recr_2007 637.132 24.892 -Recr_2008 637.898 24.8823 +Recr_Virgin 706.959 21.2721 +Recr_Initial 706.959 21.2721 +Recr_1927 706.959 21.2721 +Recr_1928 706.958 21.2722 +Recr_1929 706.957 21.2722 +Recr_1930 706.953 21.2722 +Recr_1931 706.95 21.2723 +Recr_1932 706.947 21.2723 +Recr_1933 706.944 21.2723 +Recr_1934 706.914 21.2727 +Recr_1935 706.892 21.2729 +Recr_1936 706.855 21.2732 +Recr_1937 706.789 21.2739 +Recr_1938 706.717 21.2744 +Recr_1939 706.641 21.2748 +Recr_1940 706.542 21.2752 +Recr_1941 706.432 21.2756 +Recr_1942 706.268 21.2768 +Recr_1943 706.118 21.2772 +Recr_1944 705.917 21.2783 +Recr_1945 705.698 21.2794 +Recr_1946 705.49 21.2798 +Recr_1947 705.271 21.2801 +Recr_1948 705.05 21.2803 +Recr_1949 704.764 21.2818 +Recr_1950 704.427 21.2844 +Recr_1951 704.119 21.286 +Recr_1952 703.917 21.2845 +Recr_1953 703.672 21.2844 +Recr_1954 703.354 21.2865 +Recr_1955 703.182 21.2849 +Recr_1956 702.995 21.2843 +Recr_1957 702.813 21.2841 +Recr_1958 702.737 21.2817 +Recr_1959 702.703 21.2791 +Recr_1960 702.673 21.2773 +Recr_1961 702.596 21.2777 +Recr_1962 702.513 21.2789 +Recr_1963 702.4 21.281 +Recr_1964 462.13 144.885 +Recr_1965 487.609 136.874 +Recr_1966 885.294 225.898 +Recr_1967 1369.37 288.621 +Recr_1968 661.773 164.995 +Recr_1969 815.468 154.807 +Recr_1970 654.944 127.515 +Recr_1971 744.852 119.486 +Recr_1972 529.778 103.133 +Recr_1973 663.433 104.719 +Recr_1974 638.902 99.1705 +Recr_1975 534.484 89.6387 +Recr_1976 683.723 96.2712 +Recr_1977 451.17 80.6536 +Recr_1978 583.016 89.5313 +Recr_1979 877.828 102.231 +Recr_1980 458.344 77.5919 +Recr_1981 616.482 84.5639 +Recr_1982 842.034 86.548 +Recr_1983 534.826 69.4115 +Recr_1984 694.76 77.9981 +Recr_1985 607.055 77.0106 +Recr_1986 725.194 79.6468 +Recr_1987 676.918 71.453 +Recr_1988 596.071 64.7232 +Recr_1989 622.608 72.9562 +Recr_1990 839.7 87.786 +Recr_1991 698.287 89.7927 +Recr_1992 638.574 86.3399 +Recr_1993 424.994 67.6269 +Recr_1994 392.373 62.852 +Recr_1995 572.909 76.1437 +Recr_1996 611.965 84.7173 +Recr_1997 642.493 91.2195 +Recr_1998 773.421 101.176 +Recr_1999 721.103 104.52 +Recr_2000 722.678 107.968 +Recr_2001 621.976 116.02 +Recr_2002 595.325 164.759 +Recr_2003 644.975 23.9946 +Recr_2004 642.541 24.1509 +Recr_2005 640.723 24.3077 +Recr_2006 638.895 24.5802 +Recr_2007 637.525 24.9017 +Recr_2008 638.265 24.9001 #_SPR Basis= (1-SPR)/(1-SPR_at_B50%) -SPRratio_1927 0.00237653 6.24631e-05 -SPRratio_1928 0.00271683 7.14039e-05 -SPRratio_1929 0.0114929 0.00030133 -SPRratio_1930 0.00559855 0.000147069 -SPRratio_1931 0.00453463 0.000119182 -SPRratio_1932 0.00759471 0.000199468 -SPRratio_1933 0.0773663 0.00199193 -SPRratio_1934 0.047799 0.00124315 -SPRratio_1935 0.0836543 0.0021566 -SPRratio_1936 0.148634 0.00376693 -SPRratio_1937 0.151236 0.00384418 -SPRratio_1938 0.148242 0.00378749 -SPRratio_1939 0.193764 0.0049024 -SPRratio_1940 0.208313 0.00527132 -SPRratio_1941 0.326121 0.00798549 -SPRratio_1942 0.274812 0.00689617 -SPRratio_1943 0.37651 0.00920041 -SPRratio_1944 0.396668 0.00971469 -SPRratio_1945 0.359692 0.00900552 -SPRratio_1946 0.375261 0.009419 -SPRratio_1947 0.381941 0.00963101 -SPRratio_1948 0.51156 0.0123941 -SPRratio_1949 0.597953 0.014156 -SPRratio_1950 0.534281 0.0131386 -SPRratio_1951 0.327235 0.00874922 -SPRratio_1952 0.43998 0.0113527 -SPRratio_1953 0.594052 0.0145143 -SPRratio_1954 0.347718 0.00936358 -SPRratio_1955 0.41701 0.0109801 -SPRratio_1956 0.44414 0.0116026 -SPRratio_1957 0.284157 0.00785555 -SPRratio_1958 0.258368 0.00718537 -SPRratio_1959 0.305865 0.00834023 -SPRratio_1960 0.436125 0.0113277 -SPRratio_1961 0.466236 0.0119902 -SPRratio_1962 0.520554 0.0131704 -SPRratio_1963 0.487446 0.0125696 -SPRratio_1964 0.642086 0.0156808 -SPRratio_1965 0.580886 0.0148597 -SPRratio_1966 0.60735 0.0161994 -SPRratio_1967 0.811035 0.0298815 -SPRratio_1968 0.930704 0.0388736 -SPRratio_1969 1.09123 0.0510562 -SPRratio_1970 0.771462 0.0465214 -SPRratio_1971 0.681155 0.0456669 -SPRratio_1972 1.01937 0.0610924 -SPRratio_1973 1.21175 0.0628093 -SPRratio_1974 1.13089 0.0541209 -SPRratio_1975 1.08101 0.0489806 -SPRratio_1976 1.17565 0.0481332 -SPRratio_1977 1.27055 0.0490784 -SPRratio_1978 1.24074 0.0510795 -SPRratio_1979 1.11174 0.0511409 -SPRratio_1980 1.29677 0.0539358 -SPRratio_1981 1.44587 0.0546474 -SPRratio_1982 1.52606 0.0533093 -SPRratio_1983 1.48569 0.0557759 -SPRratio_1984 1.6047 0.0528065 -SPRratio_1985 1.54467 0.0538556 -SPRratio_1986 1.54449 0.0544638 -SPRratio_1987 1.50804 0.0556342 -SPRratio_1988 1.46339 0.0550484 -SPRratio_1989 1.746 0.0439555 -SPRratio_1990 1.33689 0.0570127 -SPRratio_1991 1.59919 0.0503517 -SPRratio_1992 1.61033 0.0499374 -SPRratio_1993 1.7556 0.0401362 -SPRratio_1994 1.48514 0.0461446 -SPRratio_1995 1.77868 0.033555 -SPRratio_1996 1.50889 0.0468083 -SPRratio_1997 1.64658 0.046513 -SPRratio_1998 1.5647 0.0523506 -SPRratio_1999 1.70844 0.0468257 -SPRratio_2000 1.75859 0.0455603 -SPRratio_2001 1.7727 0.046124 -SPRratio_2002 1.58984 0.0591227 -SPRratio_2003 1.6826 0.0575859 -SPRratio_2004 1.58343 0.0708403 -SPRratio_2005 1.68258 0.0783722 -SPRratio_2006 1.61153 0.0984221 -SPRratio_2007 0.777343 0.0498426 -SPRratio_2008 0.78306 0.0490994 +SPRratio_1927 0.00237546 6.25294e-05 +SPRratio_1928 0.00271561 7.14796e-05 +SPRratio_1929 0.0114877 0.000301652 +SPRratio_1930 0.00559602 0.000147225 +SPRratio_1931 0.00453258 0.000119309 +SPRratio_1932 0.0075913 0.000199681 +SPRratio_1933 0.077332 0.00199415 +SPRratio_1934 0.0477773 0.0012445 +SPRratio_1935 0.0836169 0.002159 +SPRratio_1936 0.148568 0.00377134 +SPRratio_1937 0.151169 0.0038487 +SPRratio_1938 0.148176 0.00379197 +SPRratio_1939 0.193679 0.00490846 +SPRratio_1940 0.208222 0.00527796 +SPRratio_1941 0.325983 0.00799628 +SPRratio_1942 0.274692 0.00690513 +SPRratio_1943 0.37635 0.00921312 +SPRratio_1944 0.396499 0.00972832 +SPRratio_1945 0.359537 0.00901795 +SPRratio_1946 0.375102 0.00943228 +SPRratio_1947 0.381782 0.00964473 +SPRratio_1948 0.511354 0.0124129 +SPRratio_1949 0.597708 0.0141779 +SPRratio_1950 0.53405 0.0131575 +SPRratio_1951 0.327087 0.00876043 +SPRratio_1952 0.439801 0.0113689 +SPRratio_1953 0.593822 0.0145369 +SPRratio_1954 0.347564 0.00937555 +SPRratio_1955 0.416831 0.0109942 +SPRratio_1956 0.443953 0.0116175 +SPRratio_1957 0.28403 0.0078644 +SPRratio_1958 0.258254 0.00719317 +SPRratio_1959 0.305732 0.0083494 +SPRratio_1960 0.435938 0.0113407 +SPRratio_1961 0.466025 0.0120033 +SPRratio_1962 0.520316 0.0131848 +SPRratio_1963 0.48722 0.0125832 +SPRratio_1964 0.641808 0.0157007 +SPRratio_1965 0.58061 0.0148777 +SPRratio_1966 0.607112 0.0162259 +SPRratio_1967 0.810943 0.0298956 +SPRratio_1968 0.930379 0.0388109 +SPRratio_1969 1.09047 0.0509371 +SPRratio_1970 0.770954 0.046456 +SPRratio_1971 0.681115 0.0456095 +SPRratio_1972 1.01923 0.061021 +SPRratio_1973 1.21083 0.0627953 +SPRratio_1974 1.12913 0.0540448 +SPRratio_1975 1.07911 0.0488739 +SPRratio_1976 1.17346 0.0480122 +SPRratio_1977 1.26813 0.0489505 +SPRratio_1978 1.23808 0.0509352 +SPRratio_1979 1.10893 0.0509476 +SPRratio_1980 1.29409 0.0538217 +SPRratio_1981 1.44311 0.0545703 +SPRratio_1982 1.5236 0.0532755 +SPRratio_1983 1.4839 0.0558319 +SPRratio_1984 1.60286 0.0528842 +SPRratio_1985 1.54272 0.0538853 +SPRratio_1986 1.54289 0.0545537 +SPRratio_1987 1.50628 0.0556999 +SPRratio_1988 1.46176 0.0551191 +SPRratio_1989 1.74448 0.044044 +SPRratio_1990 1.33494 0.0569894 +SPRratio_1991 1.59775 0.0504075 +SPRratio_1992 1.60898 0.049955 +SPRratio_1993 1.75447 0.0401057 +SPRratio_1994 1.48442 0.0461049 +SPRratio_1995 1.77852 0.033565 +SPRratio_1996 1.50881 0.0468441 +SPRratio_1997 1.64627 0.0465589 +SPRratio_1998 1.56438 0.0524061 +SPRratio_1999 1.70877 0.0469511 +SPRratio_2000 1.75915 0.0457103 +SPRratio_2001 1.77327 0.0462966 +SPRratio_2002 1.59068 0.05943 +SPRratio_2003 1.68341 0.0579436 +SPRratio_2004 1.5844 0.0713895 +SPRratio_2005 1.68345 0.0789449 +SPRratio_2006 1.61221 0.0988271 +SPRratio_2007 0.777796 0.0497822 +SPRratio_2008 0.783309 0.0491239 #_F Basis= _abs_F;_with_F=Exploit(bio) -F_1927 6.79378e-05 2.01972e-06 -F_1928 7.76696e-05 2.30918e-06 -F_1929 0.000329241 9.7893e-06 -F_1930 0.000160138 4.76284e-06 -F_1931 0.000129682 3.85749e-06 -F_1932 0.000217375 6.46655e-06 -F_1933 0.002252 6.70036e-05 -F_1934 0.00137989 4.11428e-05 -F_1935 0.0024365 7.27284e-05 -F_1936 0.00439896 0.000131576 -F_1937 0.00447564 0.000134379 -F_1938 0.00438485 0.000132126 -F_1939 0.00580435 0.000175459 -F_1940 0.00626788 0.000190285 -F_1941 0.0101347 0.000309024 -F_1942 0.00841836 0.00025869 -F_1943 0.0118828 0.000367156 -F_1944 0.0126002 0.000392588 -F_1945 0.0113288 0.000355938 -F_1946 0.0119144 0.000376741 -F_1947 0.0121921 0.000387973 -F_1948 0.017009 0.000544507 -F_1949 0.0204245 0.000660498 -F_1950 0.0179014 0.000586284 -F_1951 0.0103769 0.000342986 -F_1952 0.014531 0.000480729 -F_1953 0.0206254 0.000685455 -F_1954 0.0112286 0.000376925 -F_1955 0.0138155 0.000463768 -F_1956 0.0148724 0.000500358 -F_1957 0.00911591 0.00030759 -F_1958 0.00826722 0.000278109 -F_1959 0.00993627 0.000332963 -F_1960 0.0146819 0.00049095 -F_1961 0.0157728 0.00052884 -F_1962 0.017845 0.000600514 -F_1963 0.0165139 0.000558802 -F_1964 0.0228266 0.000775428 -F_1965 0.020875 0.000735878 -F_1966 0.0221969 0.000828459 -F_1967 0.031092 0.00125127 -F_1968 0.0367347 0.00161126 -F_1969 0.0465334 0.00223847 -F_1970 0.0318564 0.00167474 -F_1971 0.0291103 0.00162442 -F_1972 0.0529261 0.00306979 -F_1973 0.0680456 0.00413604 -F_1974 0.0585129 0.00372068 -F_1975 0.0512501 0.0033388 -F_1976 0.055222 0.00363995 -F_1977 0.0601094 0.00399783 -F_1978 0.0563494 0.00380384 -F_1979 0.0481703 0.00327996 -F_1980 0.0605661 0.00408425 -F_1981 0.0721469 0.00487593 -F_1982 0.0846361 0.00577381 -F_1983 0.0815591 0.00564137 -F_1984 0.0941257 0.00657457 -F_1985 0.09173 0.00652173 -F_1986 0.0956988 0.00689184 -F_1987 0.0926352 0.00674325 -F_1988 0.0902382 0.00658237 -F_1989 0.136393 0.00991119 -F_1990 0.0807455 0.00611714 -F_1991 0.116001 0.00850789 -F_1992 0.115755 0.0084039 -F_1993 0.148722 0.0105851 -F_1994 0.108448 0.00788411 -F_1995 0.168488 0.0121465 -F_1996 0.106569 0.0081629 -F_1997 0.117925 0.00897372 -F_1998 0.105267 0.00798462 -F_1999 0.136762 0.0100492 -F_2000 0.152358 0.0111755 -F_2001 0.165671 0.0123355 -F_2002 0.136142 0.0105508 -F_2003 0.164287 0.0130482 -F_2004 0.143473 0.012279 -F_2005 0.160469 0.0146543 -F_2006 0.142608 0.0140971 -F_2007 0.0488635 0.0036351 -F_2008 0.0535372 0.00268161 +F_1927 6.79034e-05 2.0198e-06 +F_1928 7.76302e-05 2.30928e-06 +F_1929 0.000329074 9.78969e-06 +F_1930 0.000160056 4.76302e-06 +F_1931 0.000129616 3.85764e-06 +F_1932 0.000217265 6.4668e-06 +F_1933 0.00225085 6.70062e-05 +F_1934 0.00137919 4.11444e-05 +F_1935 0.00243526 7.27313e-05 +F_1936 0.00439671 0.000131581 +F_1937 0.00447334 0.000134384 +F_1938 0.0043826 0.000132131 +F_1939 0.00580135 0.000175466 +F_1940 0.00626462 0.000190293 +F_1941 0.0101294 0.000309039 +F_1942 0.00841393 0.000258703 +F_1943 0.0118765 0.000367177 +F_1944 0.0125935 0.000392611 +F_1945 0.0113226 0.000355962 +F_1946 0.0119079 0.000376769 +F_1947 0.0121854 0.000388007 +F_1948 0.0169996 0.000544559 +F_1949 0.0204131 0.000660564 +F_1950 0.0178912 0.000586345 +F_1951 0.010371 0.000343025 +F_1952 0.0145227 0.000480794 +F_1953 0.0206135 0.000685554 +F_1954 0.0112221 0.000376981 +F_1955 0.0138075 0.000463844 +F_1956 0.0148638 0.000500444 +F_1957 0.00911058 0.000307645 +F_1958 0.0082624 0.000278161 +F_1959 0.00993052 0.000333028 +F_1960 0.0146734 0.000491047 +F_1961 0.0157637 0.000528941 +F_1962 0.0178346 0.000600626 +F_1963 0.0165042 0.000558902 +F_1964 0.0228132 0.000775566 +F_1965 0.0208631 0.000735984 +F_1966 0.0221849 0.000828495 +F_1967 0.031075 0.00125099 +F_1968 0.0367145 0.00161064 +F_1969 0.0465061 0.00223716 +F_1970 0.0318353 0.00167336 +F_1971 0.0290881 0.00162267 +F_1972 0.0528798 0.00306574 +F_1973 0.0679765 0.00412944 +F_1974 0.0584435 0.00371355 +F_1975 0.05118 0.00333125 +F_1976 0.0551356 0.00363031 +F_1977 0.0600017 0.00398545 +F_1978 0.0562353 0.00379033 +F_1979 0.0480631 0.00326707 +F_1980 0.0604235 0.00406738 +F_1981 0.0719692 0.00485517 +F_1982 0.0844197 0.00574875 +F_1983 0.0813436 0.00561647 +F_1984 0.0938708 0.00654518 +F_1985 0.0914742 0.00649205 +F_1986 0.0954286 0.00686071 +F_1987 0.092369 0.00671237 +F_1988 0.0899768 0.00655191 +F_1989 0.135999 0.00986527 +F_1990 0.0805063 0.00608738 +F_1991 0.115674 0.00846753 +F_1992 0.115445 0.00836517 +F_1993 0.148349 0.0105378 +F_1994 0.108185 0.00784891 +F_1995 0.16811 0.012095 +F_1996 0.106338 0.00812921 +F_1997 0.117705 0.00894249 +F_1998 0.105104 0.00796298 +F_1999 0.136602 0.0100314 +F_2000 0.152225 0.0111651 +F_2001 0.16557 0.0123347 +F_2002 0.13609 0.0105611 +F_2003 0.164267 0.0130783 +F_2004 0.143483 0.0123216 +F_2005 0.160505 0.0147168 +F_2006 0.142651 0.0141626 +F_2007 0.0488804 0.00363508 +F_2008 0.0535459 0.00268487 #_Depletion Basis= 100%*Virgin_Biomass -Bratio_1928 0.999956 2.69448e-06 -Bratio_1929 0.999901 5.59289e-06 -Bratio_1930 0.999678 1.8216e-05 -Bratio_1931 0.99954 2.32845e-05 -Bratio_1932 0.999407 2.66896e-05 -Bratio_1933 0.999211 3.31114e-05 -Bratio_1934 0.997698 0.000118504 -Bratio_1935 0.996605 0.000164556 -Bratio_1936 0.994725 0.000247691 -Bratio_1937 0.991427 0.000400199 -Bratio_1938 0.987823 0.000544139 -Bratio_1939 0.984037 0.000672734 -Bratio_1940 0.979173 0.00084311 -Bratio_1941 0.973843 0.00101667 -Bratio_1942 0.965956 0.00131654 -Bratio_1943 0.958869 0.00153219 -Bratio_1944 0.949517 0.00185065 -Bratio_1945 0.939539 0.00216781 -Bratio_1946 0.930219 0.00241508 -Bratio_1947 0.920637 0.00265854 -Bratio_1948 0.911118 0.0028885 -Bratio_1949 0.899133 0.00324682 -Bratio_1950 0.885375 0.00368209 -Bratio_1951 0.873122 0.00400885 -Bratio_1952 0.865304 0.00409105 -Bratio_1953 0.85598 0.00427176 -Bratio_1954 0.844142 0.00459573 -Bratio_1955 0.837888 0.00465343 -Bratio_1956 0.831183 0.00476299 -Bratio_1957 0.824759 0.00488384 -Bratio_1958 0.822099 0.00485775 -Bratio_1959 0.820891 0.00480392 -Bratio_1960 0.819857 0.00477729 -Bratio_1961 0.81721 0.00484484 -Bratio_1962 0.814367 0.00493577 -Bratio_1963 0.810519 0.00507404 -Bratio_1964 0.807182 0.00518513 -Bratio_1965 0.800446 0.00543547 -Bratio_1966 0.794896 0.00560097 -Bratio_1967 0.788454 0.0057976 -Bratio_1968 0.776942 0.00641783 -Bratio_1969 0.761531 0.00750853 -Bratio_1970 0.740625 0.0094069 -Bratio_1971 0.725572 0.0116335 -Bratio_1972 0.715643 0.0141316 -Bratio_1973 0.704295 0.0170721 -Bratio_1974 0.689261 0.0202189 -Bratio_1975 0.67973 0.023079 -Bratio_1976 0.670832 0.0254244 -Bratio_1977 0.659733 0.0271131 -Bratio_1978 0.646195 0.0281746 -Bratio_1979 0.630142 0.0286785 -Bratio_1980 0.613764 0.0287003 -Bratio_1981 0.594061 0.0284099 -Bratio_1982 0.571924 0.027913 -Bratio_1983 0.549764 0.0272785 -Bratio_1984 0.526773 0.0265565 -Bratio_1985 0.502072 0.0258232 -Bratio_1986 0.47822 0.0250933 -Bratio_1987 0.454807 0.0243917 -Bratio_1988 0.433194 0.0237395 -Bratio_1989 0.41345 0.0231429 -Bratio_1990 0.391295 0.0226805 -Bratio_1991 0.374645 0.0222052 -Bratio_1992 0.356935 0.0218129 -Bratio_1993 0.33976 0.0214694 -Bratio_1994 0.322498 0.0211394 -Bratio_1995 0.310376 0.0207184 -Bratio_1996 0.296769 0.0202895 -Bratio_1997 0.285927 0.0198055 -Bratio_1998 0.274075 0.0193332 -Bratio_1999 0.263957 0.018827 -Bratio_2000 0.253334 0.0183237 -Bratio_2001 0.241786 0.0178497 -Bratio_2002 0.231487 0.0174244 -Bratio_2003 0.223763 0.0170743 -Bratio_2004 0.216571 0.0168629 -Bratio_2005 0.211485 0.0168048 -Bratio_2006 0.206584 0.0169114 -Bratio_2007 0.203061 0.0172502 -Bratio_2008 0.205057 0.0174167 +Bratio_1928 0.999956 2.6889e-06 +Bratio_1929 0.999901 5.58134e-06 +Bratio_1930 0.999678 1.81785e-05 +Bratio_1931 0.99954 2.3238e-05 +Bratio_1932 0.999408 2.66402e-05 +Bratio_1933 0.999212 3.30563e-05 +Bratio_1934 0.997699 0.000118275 +Bratio_1935 0.996607 0.000164246 +Bratio_1936 0.994727 0.000247229 +Bratio_1937 0.991431 0.000399461 +Bratio_1938 0.98783 0.000543179 +Bratio_1939 0.984045 0.00067163 +Bratio_1940 0.979184 0.000841826 +Bratio_1941 0.973856 0.00101526 +Bratio_1942 0.965974 0.00131476 +Bratio_1943 0.958891 0.00153032 +Bratio_1944 0.949543 0.00184851 +Bratio_1945 0.93957 0.0021655 +Bratio_1946 0.930255 0.00241287 +Bratio_1947 0.920678 0.00265653 +Bratio_1948 0.911163 0.00288679 +Bratio_1949 0.899184 0.0032451 +Bratio_1950 0.885432 0.00368021 +Bratio_1951 0.873185 0.00400716 +Bratio_1952 0.865372 0.00409031 +Bratio_1953 0.856051 0.00427171 +Bratio_1954 0.844218 0.00459594 +Bratio_1955 0.837966 0.00465462 +Bratio_1956 0.831264 0.00476489 +Bratio_1957 0.824842 0.00488635 +Bratio_1958 0.822183 0.0048612 +Bratio_1959 0.820974 0.00480823 +Bratio_1960 0.819939 0.0047822 +Bratio_1961 0.817292 0.00484992 +Bratio_1962 0.81445 0.00494083 +Bratio_1963 0.810604 0.0050789 +Bratio_1964 0.807268 0.00518987 +Bratio_1965 0.800535 0.00543974 +Bratio_1966 0.794987 0.00560537 +Bratio_1967 0.788546 0.00580235 +Bratio_1968 0.777028 0.00642301 +Bratio_1969 0.761608 0.00751171 +Bratio_1970 0.7407 0.0094042 +Bratio_1971 0.725645 0.0116256 +Bratio_1972 0.715717 0.0141202 +Bratio_1973 0.704383 0.0170585 +Bratio_1974 0.689384 0.0202043 +Bratio_1975 0.679909 0.0230634 +Bratio_1976 0.671086 0.025409 +Bratio_1977 0.660074 0.0270992 +Bratio_1978 0.64663 0.0281623 +Bratio_1979 0.630678 0.0286673 +Bratio_1980 0.614407 0.0286899 +Bratio_1981 0.594808 0.0283998 +Bratio_1982 0.572769 0.027903 +Bratio_1983 0.550687 0.027269 +Bratio_1984 0.527757 0.0265477 +Bratio_1985 0.503107 0.0258147 +Bratio_1986 0.479291 0.0250849 +Bratio_1987 0.4559 0.0243837 +Bratio_1988 0.4343 0.0237319 +Bratio_1989 0.41456 0.0231362 +Bratio_1990 0.392403 0.0226738 +Bratio_1991 0.375749 0.0221989 +Bratio_1992 0.358026 0.0218064 +Bratio_1993 0.340832 0.0214618 +Bratio_1994 0.323543 0.0211298 +Bratio_1995 0.311384 0.0207078 +Bratio_1996 0.297729 0.0202776 +Bratio_1997 0.286833 0.0197918 +Bratio_1998 0.274922 0.0193175 +Bratio_1999 0.264738 0.0188098 +Bratio_2000 0.254039 0.0183061 +Bratio_2001 0.242409 0.017832 +Bratio_2002 0.23203 0.0174071 +Bratio_2003 0.224226 0.0170583 +Bratio_2004 0.216954 0.0168491 +Bratio_2005 0.211788 0.0167957 +Bratio_2006 0.206809 0.0169106 +Bratio_2007 0.203212 0.0172613 +Bratio_2008 0.205141 0.0174431 #_Mgmt_Quantity -SSB_unfished 17398.5 523.761 -Totbio_unfished 25910.5 770.28 -SmryBio_unfished 25834.8 768.04 -Recr_unfished 706.588 21.2584 -SSB_Btgt 8699.25 261.881 -SPR_Btgt 0.513889 2.98781e-18 -annF_Btgt 0.0518592 0.000574599 -Dead_Catch_Btgt 741.396 19.3893 -SSB_SPR 8450.7 254.398 -annF_SPR 0.0543757 0.000594034 -Dead_Catch_SPR 759.47 19.8571 -SSB_MSY 8699.25 261.881 -SPR_MSY 0.513889 2.98781e-18 -annF_MSY 0.0518592 0.000574599 -Dead_Catch_MSY 741.396 19.3893 -Ret_Catch_MSY 741.396 19.3893 -B_MSY/SSB_unfished 0.5 1.54976e-18 -ForeCatch_2007 343.078 60.1747 -ForeCatch_2008 413.581 57.0462 -OFLCatch_2007 496.413 57.4082 -OFLCatch_2008 592.741 42.1694 +SSB_unfished 17407.6 524.571 +Totbio_unfished 25923.6 771.091 +SmryBio_unfished 25847.9 768.85 +Recr_unfished 706.959 21.2721 +SSB_Btgt 8703.8 262.286 +SPR_Btgt 0.513889 7.90281e-18 +annF_Btgt 0.0518668 0.000575605 +Dead_Catch_Btgt 741.804 19.4136 +SSB_SPR 8455.12 254.792 +annF_SPR 0.0543834 0.000595082 +Dead_Catch_SPR 759.882 19.882 +SSB_MSY 8703.8 262.286 +SPR_MSY 0.513889 7.90281e-18 +annF_MSY 0.0518668 0.000575605 +Dead_Catch_MSY 741.804 19.4136 +Ret_Catch_MSY 741.804 19.4136 +B_MSY/SSB_unfished 0.5 3.80158e-18 +ForeCatch_2007 343.087 60.3254 +ForeCatch_2008 413.538 57.2258 +OFLCatch_2007 496.102 57.6159 +OFLCatch_2008 592.484 42.3913 #_Extra_stdev -ln(SPB)_1927 9.76414 0.0301038 -ln(SPB)_1966 9.53459 0.0370275 -ln(SPB)_2006 8.18709 0.107426 -SmryBio_Virgin 25834.8 0.0 -SmryBio_Initial 25834.8 0.0 -SmryBio_1927 25834.8 0.0 -SmryBio_1928 25833 0.0 -SmryBio_1929 25831 0.0 -SmryBio_1930 25822.4 0.0 -SmryBio_1931 25818.1 0.0 -SmryBio_1932 25814.9 0.0 -SmryBio_1933 25809.7 0.0 -SmryBio_1934 25751.7 0.0 -SmryBio_1935 25716.1 0.0 -SmryBio_1936 25654.3 0.0 -SmryBio_1937 25543.2 0.0 -SmryBio_1938 25432.3 0.0 -SmryBio_1939 25328.1 0.0 -SmryBio_1940 25193.4 0.0 -SmryBio_1941 25053.5 0.0 -SmryBio_1942 24823.8 0.0 -SmryBio_1943 24646.4 0.0 -SmryBio_1944 24395.1 0.0 -SmryBio_1945 24139.8 0.0 -SmryBio_1946 23931.8 0.0 -SmryBio_1947 23727.7 0.0 -SmryBio_1948 23535.3 0.0 -SmryBio_1949 23246.5 0.0 -SmryBio_1950 22896 0.0 -SmryBio_1951 22625.9 0.0 -SmryBio_1952 22552.1 0.0 -SmryBio_1953 22407.5 0.0 -SmryBio_1954 22143.2 0.0 -SmryBio_1955 22106.8 0.0 -SmryBio_1956 22031.3 0.0 -SmryBio_1957 21945.8 0.0 -SmryBio_1958 21999.3 0.0 -SmryBio_1959 22082.5 0.0 -SmryBio_1960 22134.7 0.0 -SmryBio_1961 22081.8 0.0 -SmryBio_1962 22002.7 0.0 -SmryBio_1963 21877.3 0.0 -SmryBio_1964 21783.3 0.0 -SmryBio_1965 21453.2 0.0 -SmryBio_1966 21075.2 0.0 -SmryBio_1967 20752.8 0.0 -SmryBio_1968 20579.7 0.0 -SmryBio_1969 20380.3 0.0 -SmryBio_1970 20105.6 0.0 -SmryBio_1971 20108.6 0.0 -SmryBio_1972 20158.9 0.0 -SmryBio_1973 19634 0.0 -SmryBio_1974 18789 0.0 -SmryBio_1975 18096.4 0.0 -SmryBio_1976 17482.9 0.0 -SmryBio_1977 16828.7 0.0 -SmryBio_1978 16044.3 0.0 -SmryBio_1979 15353.8 0.0 -SmryBio_1980 14965.5 0.0 -SmryBio_1981 14402.9 0.0 -SmryBio_1982 13752.9 0.0 -SmryBio_1983 13095.7 0.0 -SmryBio_1984 12529.7 0.0 -SmryBio_1985 11920.5 0.0 -SmryBio_1986 11415.4 0.0 -SmryBio_1987 10977.5 0.0 -SmryBio_1988 10669.3 0.0 -SmryBio_1989 10438.9 0.0 -SmryBio_1990 9760.68 0.0 -SmryBio_1991 9803.96 0.0 -SmryBio_1992 9573.57 0.0 -SmryBio_1993 9393.74 0.0 -SmryBio_1994 8833.19 0.0 -SmryBio_1995 8572.7 0.0 -SmryBio_1996 7789.09 0.0 -SmryBio_1997 7612.73 0.0 -SmryBio_1998 7456.92 0.0 -SmryBio_1999 7558.86 0.0 -SmryBio_2000 7521.42 0.0 -SmryBio_2001 7441.83 0.0 -SmryBio_2002 7274.52 0.0 -SmryBio_2003 7316.98 0.0 -SmryBio_2004 7141.09 0.0 -SmryBio_2005 7126.4 0.0 -SmryBio_2006 6999.39 0.0 -SmryBio_2007 7021.15 0.0 -SmryBio_2008 7725.12 0.0 +ln(SPB)_1927 9.76466 0.0301346 +ln(SPB)_1966 9.53523 0.03706 +ln(SPB)_2006 8.1887 0.107331 +SmryBio_Virgin 25847.9 0.0 +SmryBio_Initial 25847.9 0.0 +SmryBio_1927 25847.9 0.0 +SmryBio_1928 25846.1 0.0 +SmryBio_1929 25844.1 0.0 +SmryBio_1930 25835.5 0.0 +SmryBio_1931 25831.2 0.0 +SmryBio_1932 25828 0.0 +SmryBio_1933 25822.8 0.0 +SmryBio_1934 25764.9 0.0 +SmryBio_1935 25729.2 0.0 +SmryBio_1936 25667.4 0.0 +SmryBio_1937 25556.3 0.0 +SmryBio_1938 25445.4 0.0 +SmryBio_1939 25341.2 0.0 +SmryBio_1940 25206.5 0.0 +SmryBio_1941 25066.6 0.0 +SmryBio_1942 24836.9 0.0 +SmryBio_1943 24659.5 0.0 +SmryBio_1944 24408.2 0.0 +SmryBio_1945 24152.8 0.0 +SmryBio_1946 23944.8 0.0 +SmryBio_1947 23740.8 0.0 +SmryBio_1948 23548.3 0.0 +SmryBio_1949 23259.5 0.0 +SmryBio_1950 22909 0.0 +SmryBio_1951 22638.8 0.0 +SmryBio_1952 22565 0.0 +SmryBio_1953 22420.4 0.0 +SmryBio_1954 22156.1 0.0 +SmryBio_1955 22119.7 0.0 +SmryBio_1956 22044.2 0.0 +SmryBio_1957 21958.6 0.0 +SmryBio_1958 22012.1 0.0 +SmryBio_1959 22095.3 0.0 +SmryBio_1960 22147.5 0.0 +SmryBio_1961 22094.6 0.0 +SmryBio_1962 22015.6 0.0 +SmryBio_1963 21890.1 0.0 +SmryBio_1964 21796.1 0.0 +SmryBio_1965 21465.4 0.0 +SmryBio_1966 21086.6 0.0 +SmryBio_1967 20764.1 0.0 +SmryBio_1968 20591.1 0.0 +SmryBio_1969 20392.2 0.0 +SmryBio_1970 20118.9 0.0 +SmryBio_1971 20124 0.0 +SmryBio_1972 20176.5 0.0 +SmryBio_1973 19653.9 0.0 +SmryBio_1974 18811.3 0.0 +SmryBio_1975 18121.2 0.0 +SmryBio_1976 17510.3 0.0 +SmryBio_1977 16858.9 0.0 +SmryBio_1978 16076.9 0.0 +SmryBio_1979 15388.1 0.0 +SmryBio_1980 15000.8 0.0 +SmryBio_1981 14438.4 0.0 +SmryBio_1982 13788.1 0.0 +SmryBio_1983 13130.4 0.0 +SmryBio_1984 12563.7 0.0 +SmryBio_1985 11953.8 0.0 +SmryBio_1986 11447.7 0.0 +SmryBio_1987 11009.1 0.0 +SmryBio_1988 10700.3 0.0 +SmryBio_1989 10469 0.0 +SmryBio_1990 9789.69 0.0 +SmryBio_1991 9831.68 0.0 +SmryBio_1992 9599.32 0.0 +SmryBio_1993 9417.37 0.0 +SmryBio_1994 8854.64 0.0 +SmryBio_1995 8591.99 0.0 +SmryBio_1996 7806.02 0.0 +SmryBio_1997 7626.97 0.0 +SmryBio_1998 7468.45 0.0 +SmryBio_1999 7567.73 0.0 +SmryBio_2000 7527.98 0.0 +SmryBio_2001 7446.35 0.0 +SmryBio_2002 7277.28 0.0 +SmryBio_2003 7317.9 0.0 +SmryBio_2004 7140.57 0.0 +SmryBio_2005 7124.84 0.0 +SmryBio_2006 6997.28 0.0 +SmryBio_2007 7018.91 0.0 +SmryBio_2008 7723.05 0.0 #_survey_stdev 0 #_Biomass -TotBio_Virgin 25910.5 0.0 -TotBio_Initial 25910.5 0.0 -TotBio_1927 25910.5 0.0 -TotBio_1928 25908.7 0.0 -TotBio_1929 25906.6 0.0 -TotBio_1930 25898 0.0 -TotBio_1931 25893.8 0.0 -TotBio_1932 25890.6 0.0 -TotBio_1933 25885.4 0.0 -TotBio_1934 25827.4 0.0 -TotBio_1935 25791.7 0.0 -TotBio_1936 25729.9 0.0 -TotBio_1937 25618.8 0.0 -TotBio_1938 25508 0.0 -TotBio_1939 25403.7 0.0 -TotBio_1940 25269 0.0 -TotBio_1941 25129.1 0.0 -TotBio_1942 24899.4 0.0 -TotBio_1943 24722 0.0 -TotBio_1944 24470.7 0.0 -TotBio_1945 24215.3 0.0 -TotBio_1946 24007.3 0.0 -TotBio_1947 23803.2 0.0 -TotBio_1948 23610.8 0.0 -TotBio_1949 23321.9 0.0 -TotBio_1950 22971.4 0.0 -TotBio_1951 22701.2 0.0 -TotBio_1952 22627.4 0.0 -TotBio_1953 22482.8 0.0 -TotBio_1954 22218.5 0.0 -TotBio_1955 22182.1 0.0 -TotBio_1956 22106.6 0.0 -TotBio_1957 22021 0.0 -TotBio_1958 22074.5 0.0 -TotBio_1959 22157.7 0.0 -TotBio_1960 22209.9 0.0 -TotBio_1961 22157 0.0 -TotBio_1962 22077.9 0.0 -TotBio_1963 21952.5 0.0 -TotBio_1964 21832.9 0.0 -TotBio_1965 21505.4 0.0 -TotBio_1966 21169.7 0.0 -TotBio_1967 20899.4 0.0 -TotBio_1968 20650.5 0.0 -TotBio_1969 20467.3 0.0 -TotBio_1970 20175.5 0.0 -TotBio_1971 20188.3 0.0 -TotBio_1972 20215.5 0.0 -TotBio_1973 19704.9 0.0 -TotBio_1974 18857.2 0.0 -TotBio_1975 18153.4 0.0 -TotBio_1976 17555.9 0.0 -TotBio_1977 16876.9 0.0 -TotBio_1978 16106.7 0.0 -TotBio_1979 15447.8 0.0 -TotBio_1980 15014.6 0.0 -TotBio_1981 14468.8 0.0 -TotBio_1982 13842.9 0.0 -TotBio_1983 13152.9 0.0 -TotBio_1984 12604 0.0 -TotBio_1985 11985.5 0.0 -TotBio_1986 11492.9 0.0 -TotBio_1987 11049.9 0.0 -TotBio_1988 10733.1 0.0 -TotBio_1989 10505.6 0.0 -TotBio_1990 9850.55 0.0 -TotBio_1991 9878.85 0.0 -TotBio_1992 9641.95 0.0 -TotBio_1993 9439.24 0.0 -TotBio_1994 8875.22 0.0 -TotBio_1995 8634.13 0.0 -TotBio_1996 7854.75 0.0 -TotBio_1997 7681.55 0.0 -TotBio_1998 7539.77 0.0 -TotBio_1999 7636.06 0.0 -TotBio_2000 7598.83 0.0 -TotBio_2001 7508.43 0.0 -TotBio_2002 7338.34 0.0 -TotBio_2003 7385.99 0.0 -TotBio_2004 7209.85 0.0 -TotBio_2005 7194.96 0.0 -TotBio_2006 7067.76 0.0 -TotBio_2007 7089.37 0.0 -TotBio_2008 7793.43 0.0 +TotBio_Virgin 25923.6 0.0 +TotBio_Initial 25923.6 0.0 +TotBio_1927 25923.6 0.0 +TotBio_1928 25921.8 0.0 +TotBio_1929 25919.8 0.0 +TotBio_1930 25911.2 0.0 +TotBio_1931 25906.9 0.0 +TotBio_1932 25903.7 0.0 +TotBio_1933 25898.5 0.0 +TotBio_1934 25840.6 0.0 +TotBio_1935 25804.9 0.0 +TotBio_1936 25743.1 0.0 +TotBio_1937 25632 0.0 +TotBio_1938 25521.1 0.0 +TotBio_1939 25416.8 0.0 +TotBio_1940 25282.1 0.0 +TotBio_1941 25142.2 0.0 +TotBio_1942 24912.5 0.0 +TotBio_1943 24735.1 0.0 +TotBio_1944 24483.8 0.0 +TotBio_1945 24228.4 0.0 +TotBio_1946 24020.4 0.0 +TotBio_1947 23816.3 0.0 +TotBio_1948 23623.8 0.0 +TotBio_1949 23334.9 0.0 +TotBio_1950 22984.4 0.0 +TotBio_1951 22714.2 0.0 +TotBio_1952 22640.3 0.0 +TotBio_1953 22495.7 0.0 +TotBio_1954 22231.4 0.0 +TotBio_1955 22195 0.0 +TotBio_1956 22119.4 0.0 +TotBio_1957 22033.9 0.0 +TotBio_1958 22087.4 0.0 +TotBio_1959 22170.6 0.0 +TotBio_1960 22222.7 0.0 +TotBio_1961 22169.9 0.0 +TotBio_1962 22090.8 0.0 +TotBio_1963 21965.4 0.0 +TotBio_1964 21845.6 0.0 +TotBio_1965 21517.6 0.0 +TotBio_1966 21181.4 0.0 +TotBio_1967 20910.7 0.0 +TotBio_1968 20661.9 0.0 +TotBio_1969 20479.5 0.0 +TotBio_1970 20189 0.0 +TotBio_1971 20203.7 0.0 +TotBio_1972 20233.3 0.0 +TotBio_1973 19725 0.0 +TotBio_1974 18879.7 0.0 +TotBio_1975 18178.4 0.0 +TotBio_1976 17583.5 0.0 +TotBio_1977 16907.2 0.0 +TotBio_1978 16139.3 0.0 +TotBio_1979 15482.1 0.0 +TotBio_1980 15049.9 0.0 +TotBio_1981 14504.4 0.0 +TotBio_1982 13878.3 0.0 +TotBio_1983 13187.6 0.0 +TotBio_1984 12638.1 0.0 +TotBio_1985 12018.8 0.0 +TotBio_1986 11525.4 0.0 +TotBio_1987 11081.6 0.0 +TotBio_1988 10764.1 0.0 +TotBio_1989 10535.7 0.0 +TotBio_1990 9879.6 0.0 +TotBio_1991 9906.45 0.0 +TotBio_1992 9667.7 0.0 +TotBio_1993 9462.88 0.0 +TotBio_1994 8896.66 0.0 +TotBio_1995 8653.34 0.0 +TotBio_1996 7871.56 0.0 +TotBio_1997 7695.77 0.0 +TotBio_1998 7551.27 0.0 +TotBio_1999 7644.95 0.0 +TotBio_2000 7605.36 0.0 +TotBio_2001 7512.95 0.0 +TotBio_2002 7341.03 0.0 +TotBio_2003 7386.97 0.0 +TotBio_2004 7209.37 0.0 +TotBio_2005 7193.45 0.0 +TotBio_2006 7065.7 0.0 +TotBio_2007 7087.17 0.0 +TotBio_2008 7791.4 0.0 TotCatch_Virgin 0 0.0 TotCatch_Initial 0 0.0 TotCatch_1927 1.75516 0.0 @@ -1161,5 +1161,5 @@ TotCatch_2003 1202.09 0.0 TotCatch_2004 1024.55 0.0 TotCatch_2005 1143.57 0.0 TotCatch_2006 998.169 0.0 -TotCatch_2007 343.078 0.0 -TotCatch_2008 413.581 0.0 +TotCatch_2007 343.087 0.0 +TotCatch_2008 413.538 0.0 diff --git a/models/tagging_mirrored_sel/starter.ss b/models/tagging_mirrored_sel/starter.ss index b2735ac..4482a73 100644 --- a/models/tagging_mirrored_sel/starter.ss +++ b/models/tagging_mirrored_sel/starter.ss @@ -15,7 +15,7 @@ control.ss 0 # write 1st iteration details to echoinput.sso file (0,1) 0 # write parm values to ParmTrace.sso (0=no,1=good,active; 2=good,all; 3=every_iter,all_parms; 4=every,active) 0 # write to cumreport.sso (0=no,1=like×eries; 2=add survey fits) -0 # Include prior_like for non-estimated parameters (0,1) +1 # Include prior_like for non-estimated parameters (0,1) 1 # Use Soft Boundaries to aid convergence (0,1) (recommended) # 1 # Number of datafiles to produce: 0 turns off all *.ss_new; 1st is data_echo.ss_new, 2nd is data_expval.ss, 3rd and higher are data_boot_**N.ss, diff --git a/models/tagging_mirrored_sel/warning.sso b/models/tagging_mirrored_sel/warning.sso index c69fdcc..ae13698 100644 --- a/models/tagging_mirrored_sel/warning.sso +++ b/models/tagging_mirrored_sel/warning.sso @@ -1,151 +1,143 @@ -Warning 1 : fishing fleet: 1 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month -Warning 2 : fishing fleet: 2 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month -Warning 3 : fishing fleet: 3 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month -Warning 4 : fishing fleet: 4 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month -Warning 5 : fishing fleet: 5 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month Note 1 Information: Max data length bin: 180 < max pop len bins: 245; so will accumulate larger pop len bins Note 2 Suggestion: This model has just one settlement event. Changing to recr_dist_method 4 and removing the recruitment distribution parameters at the end of the MG parms section (below growth parameters) will produce identical results and simplify the model. -Warning 6 : parameter init value is less than parameter min -17.6973 < -1 for parm: 51; search for in echoinput.sso for parm_type -Warning 7 : parameter init value is less than parameter min -14.3325 < -1 for parm: 52; search for in echoinput.sso for parm_type -Warning 8 : parameter init value is less than parameter min -11.5543 < -1 for parm: 53; search for in echoinput.sso for parm_type -Warning 9 : parameter init value is less than parameter min -9.24508 < -1 for parm: 54; search for in echoinput.sso for parm_type -Warning 10 : parameter init value is less than parameter min -7.31939 < -1 for parm: 55; search for in echoinput.sso for parm_type -Warning 11 : parameter init value is less than parameter min -5.71317 < -1 for parm: 56; search for in echoinput.sso for parm_type -Warning 12 : parameter init value is less than parameter min -4.37719 < -1 for parm: 57; search for in echoinput.sso for parm_type -Warning 13 : parameter init value is less than parameter min -3.27279 < -1 for parm: 58; search for in echoinput.sso for parm_type -Warning 14 : parameter init value is less than parameter min -2.36906 < -1 for parm: 59; search for in echoinput.sso for parm_type -Warning 15 : parameter init value is less than parameter min -1.64089 < -1 for parm: 60; search for in echoinput.sso for parm_type -Warning 16 : parameter init value is less than parameter min -1.06761 < -1 for parm: 61; search for in echoinput.sso for parm_type -Warning 17 : parameter init value is less than parameter min -1.07666 < -1 for parm: 71; search for in echoinput.sso for parm_type -Warning 18 : parameter init value is less than parameter min -1.4766 < -1 for parm: 72; search for in echoinput.sso for parm_type -Warning 19 : parameter init value is less than parameter min -1.92839 < -1 for parm: 73; search for in echoinput.sso for parm_type -Warning 20 : parameter init value is less than parameter min -2.42857 < -1 for parm: 74; search for in echoinput.sso for parm_type -Warning 21 : parameter init value is less than parameter min -2.97402 < -1 for parm: 75; search for in echoinput.sso for parm_type -Warning 22 : parameter init value is less than parameter min -3.56192 < -1 for parm: 76; search for in echoinput.sso for parm_type -Warning 23 : parameter init value is less than parameter min -4.18968 < -1 for parm: 77; search for in echoinput.sso for parm_type -Warning 24 : parameter init value is less than parameter min -4.85496 < -1 for parm: 78; search for in echoinput.sso for parm_type -Warning 25 : parameter init value is less than parameter min -5.55561 < -1 for parm: 79; search for in echoinput.sso for parm_type -Warning 26 : parameter init value is less than parameter min -6.28968 < -1 for parm: 80; search for in echoinput.sso for parm_type -Warning 27 : parameter init value is less than parameter min -7.05536 < -1 for parm: 81; search for in echoinput.sso for parm_type -Warning 28 : parameter init value is less than parameter min -7.85098 < -1 for parm: 82; search for in echoinput.sso for parm_type -Warning 29 : parameter init value is less than parameter min -8.67499 < -1 for parm: 83; search for in echoinput.sso for parm_type -Warning 30 : parameter init value is less than parameter min -9.526 < -1 for parm: 84; search for in echoinput.sso for parm_type -Warning 31 : parameter init value is less than parameter min -10.4027 < -1 for parm: 85; search for in echoinput.sso for parm_type -Warning 32 : parameter init value is less than parameter min -11.3038 < -1 for parm: 86; search for in echoinput.sso for parm_type -Warning 33 : parameter init value is less than parameter min -12.2282 < -1 for parm: 87; search for in echoinput.sso for parm_type -Warning 34 : parameter init value is less than parameter min -13.1749 < -1 for parm: 88; search for in echoinput.sso for parm_type -Warning 35 : parameter init value is less than parameter min -14.1429 < -1 for parm: 89; search for in echoinput.sso for parm_type -Warning 36 : parameter init value is less than parameter min -15.1311 < -1 for parm: 90; search for in echoinput.sso for parm_type -Warning 37 : parameter init value is less than parameter min -16.1389 < -1 for parm: 91; search for in echoinput.sso for parm_type -Warning 38 : parameter init value is less than parameter min -17.1653 < -1 for parm: 92; search for in echoinput.sso for parm_type -Warning 39 : parameter init value is less than parameter min -34.5153 < -1 for parm: 95; search for in echoinput.sso for parm_type -Warning 40 : parameter init value is less than parameter min -28.346 < -1 for parm: 96; search for in echoinput.sso for parm_type -Warning 41 : parameter init value is less than parameter min -23.356 < -1 for parm: 97; search for in echoinput.sso for parm_type -Warning 42 : parameter init value is less than parameter min -19.2491 < -1 for parm: 98; search for in echoinput.sso for parm_type -Warning 43 : parameter init value is less than parameter min -15.8283 < -1 for parm: 99; search for in echoinput.sso for parm_type -Warning 44 : parameter init value is less than parameter min -12.9561 < -1 for parm: 100; search for in echoinput.sso for parm_type -Warning 45 : parameter init value is less than parameter min -10.5324 < -1 for parm: 101; search for in echoinput.sso for parm_type -Warning 46 : parameter init value is less than parameter min -8.48245 < -1 for parm: 102; search for in echoinput.sso for parm_type -Warning 47 : parameter init value is less than parameter min -6.74856 < -1 for parm: 103; search for in echoinput.sso for parm_type -Warning 48 : parameter init value is less than parameter min -5.28554 < -1 for parm: 104; search for in echoinput.sso for parm_type -Warning 49 : parameter init value is less than parameter min -4.05723 < -1 for parm: 105; search for in echoinput.sso for parm_type -Warning 50 : parameter init value is less than parameter min -3.03427 < -1 for parm: 106; search for in echoinput.sso for parm_type -Warning 51 : parameter init value is less than parameter min -2.19248 < -1 for parm: 107; search for in echoinput.sso for parm_type -Warning 52 : parameter init value is less than parameter min -1.51169 < -1 for parm: 108; search for in echoinput.sso for parm_type -Warning 53 : parameter init value is less than parameter min -1.14432 < -1 for parm: 119; search for in echoinput.sso for parm_type -Warning 54 : parameter init value is less than parameter min -1.55811 < -1 for parm: 120; search for in echoinput.sso for parm_type -Warning 55 : parameter init value is less than parameter min -2.02485 < -1 for parm: 121; search for in echoinput.sso for parm_type -Warning 56 : parameter init value is less than parameter min -2.54124 < -1 for parm: 122; search for in echoinput.sso for parm_type -Warning 57 : parameter init value is less than parameter min -3.10426 < -1 for parm: 123; search for in echoinput.sso for parm_type -Warning 58 : parameter init value is less than parameter min -3.71117 < -1 for parm: 124; search for in echoinput.sso for parm_type -Warning 59 : parameter init value is less than parameter min -4.35945 < -1 for parm: 125; search for in echoinput.sso for parm_type -Warning 60 : parameter init value is less than parameter min -5.04681 < -1 for parm: 126; search for in echoinput.sso for parm_type -Warning 61 : parameter init value is less than parameter min -5.77114 < -1 for parm: 127; search for in echoinput.sso for parm_type -Warning 62 : parameter init value is less than parameter min -6.5305 < -1 for parm: 128; search for in echoinput.sso for parm_type -Warning 63 : parameter init value is less than parameter min -7.32307 < -1 for parm: 129; search for in echoinput.sso for parm_type -Warning 64 : parameter init value is less than parameter min -8.14721 < -1 for parm: 130; search for in echoinput.sso for parm_type -Warning 65 : parameter init value is less than parameter min -9.00138 < -1 for parm: 131; search for in echoinput.sso for parm_type -Warning 66 : parameter init value is less than parameter min -9.88414 < -1 for parm: 132; search for in echoinput.sso for parm_type -Warning 67 : parameter init value is less than parameter min -10.7942 < -1 for parm: 133; search for in echoinput.sso for parm_type -Warning 68 : parameter init value is less than parameter min -11.7302 < -1 for parm: 134; search for in echoinput.sso for parm_type -Warning 69 : parameter init value is less than parameter min -12.6911 < -1 for parm: 135; search for in echoinput.sso for parm_type -Warning 70 : parameter init value is less than parameter min -13.6758 < -1 for parm: 136; search for in echoinput.sso for parm_type -Warning 71 : parameter init value is less than parameter min -14.6833 < -1 for parm: 137; search for in echoinput.sso for parm_type -Warning 72 : parameter init value is less than parameter min -15.7126 < -1 for parm: 138; search for in echoinput.sso for parm_type -Warning 73 : parameter init value is less than parameter min -43.2078 < -1 for parm: 141; search for in echoinput.sso for parm_type -Warning 74 : parameter init value is less than parameter min -35.9024 < -1 for parm: 142; search for in echoinput.sso for parm_type -Warning 75 : parameter init value is less than parameter min -29.961 < -1 for parm: 143; search for in echoinput.sso for parm_type -Warning 76 : parameter init value is less than parameter min -25.041 < -1 for parm: 144; search for in echoinput.sso for parm_type -Warning 77 : parameter init value is less than parameter min -20.9146 < -1 for parm: 145; search for in echoinput.sso for parm_type -Warning 78 : parameter init value is less than parameter min -17.4227 < -1 for parm: 146; search for in echoinput.sso for parm_type -Warning 79 : parameter init value is less than parameter min -14.4497 < -1 for parm: 147; search for in echoinput.sso for parm_type -Warning 80 : parameter init value is less than parameter min -11.9088 < -1 for parm: 148; search for in echoinput.sso for parm_type -Warning 81 : parameter init value is less than parameter min -9.73354 < -1 for parm: 149; search for in echoinput.sso for parm_type -Warning 82 : parameter init value is less than parameter min -7.87158 < -1 for parm: 150; search for in echoinput.sso for parm_type -Warning 83 : parameter init value is less than parameter min -6.2811 < -1 for parm: 151; search for in echoinput.sso for parm_type -Warning 84 : parameter init value is less than parameter min -4.92813 < -1 for parm: 152; search for in echoinput.sso for parm_type -Warning 85 : parameter init value is less than parameter min -3.7847 < -1 for parm: 153; search for in echoinput.sso for parm_type -Warning 86 : parameter init value is less than parameter min -2.82751 < -1 for parm: 154; search for in echoinput.sso for parm_type -Warning 87 : parameter init value is less than parameter min -2.03693 < -1 for parm: 155; search for in echoinput.sso for parm_type -Warning 88 : parameter init value is less than parameter min -1.39631 < -1 for parm: 156; search for in echoinput.sso for parm_type -Warning 89 : parameter init value is less than parameter min -1.21396 < -1 for parm: 167; search for in echoinput.sso for parm_type -Warning 90 : parameter init value is less than parameter min -1.64146 < -1 for parm: 168; search for in echoinput.sso for parm_type -Warning 91 : parameter init value is less than parameter min -2.12288 < -1 for parm: 169; search for in echoinput.sso for parm_type -Warning 92 : parameter init value is less than parameter min -2.65508 < -1 for parm: 170; search for in echoinput.sso for parm_type -Warning 93 : parameter init value is less than parameter min -3.23513 < -1 for parm: 171; search for in echoinput.sso for parm_type -Warning 94 : parameter init value is less than parameter min -3.86038 < -1 for parm: 172; search for in echoinput.sso for parm_type -Warning 95 : parameter init value is less than parameter min -4.52839 < -1 for parm: 173; search for in echoinput.sso for parm_type -Warning 96 : parameter init value is less than parameter min -5.23692 < -1 for parm: 174; search for in echoinput.sso for parm_type -Warning 97 : parameter init value is less than parameter min -5.98387 < -1 for parm: 175; search for in echoinput.sso for parm_type -Warning 98 : parameter init value is less than parameter min -6.76732 < -1 for parm: 176; search for in echoinput.sso for parm_type -Warning 99 : parameter init value is less than parameter min -7.5855 < -1 for parm: 177; search for in echoinput.sso for parm_type -Warning 100 : parameter init value is less than parameter min -8.43676 < -1 for parm: 178; search for in echoinput.sso for parm_type -Warning 101 : parameter init value is less than parameter min -9.31954 < -1 for parm: 179; search for in echoinput.sso for parm_type -Warning 102 : parameter init value is less than parameter min -10.2324 < -1 for parm: 180; search for in echoinput.sso for parm_type -Warning 103 : parameter init value is less than parameter min -11.1741 < -1 for parm: 181; search for in echoinput.sso for parm_type -Warning 104 : parameter init value is less than parameter min -12.1432 < -1 for parm: 182; search for in echoinput.sso for parm_type -Warning 105 : parameter init value is less than parameter min -13.1387 < -1 for parm: 183; search for in echoinput.sso for parm_type -Warning 106 : parameter init value is less than parameter min -14.1595 < -1 for parm: 184; search for in echoinput.sso for parm_type -Warning 107 : parameter init value is less than parameter min -64.199 < -1 for parm: 187; search for in echoinput.sso for parm_type -Warning 108 : parameter init value is less than parameter min -54.2645 < -1 for parm: 188; search for in echoinput.sso for parm_type -Warning 109 : parameter init value is less than parameter min -46.1763 < -1 for parm: 189; search for in echoinput.sso for parm_type -Warning 110 : parameter init value is less than parameter min -39.417 < -1 for parm: 190; search for in echoinput.sso for parm_type -Warning 111 : parameter init value is less than parameter min -33.69 < -1 for parm: 191; search for in echoinput.sso for parm_type -Warning 112 : parameter init value is less than parameter min -28.7885 < -1 for parm: 192; search for in echoinput.sso for parm_type -Warning 113 : parameter init value is less than parameter min -24.5619 < -1 for parm: 193; search for in echoinput.sso for parm_type -Warning 114 : parameter init value is less than parameter min -20.8976 < -1 for parm: 194; search for in echoinput.sso for parm_type -Warning 115 : parameter init value is less than parameter min -17.7088 < -1 for parm: 195; search for in echoinput.sso for parm_type -Warning 116 : parameter init value is less than parameter min -14.9277 < -1 for parm: 196; search for in echoinput.sso for parm_type -Warning 117 : parameter init value is less than parameter min -12.4997 < -1 for parm: 197; search for in echoinput.sso for parm_type -Warning 118 : parameter init value is less than parameter min -10.3807 < -1 for parm: 198; search for in echoinput.sso for parm_type -Warning 119 : parameter init value is less than parameter min -8.53434 < -1 for parm: 199; search for in echoinput.sso for parm_type -Warning 120 : parameter init value is less than parameter min -6.93022 < -1 for parm: 200; search for in echoinput.sso for parm_type -Warning 121 : parameter init value is less than parameter min -5.54285 < -1 for parm: 201; search for in echoinput.sso for parm_type -Warning 122 : parameter init value is less than parameter min -4.35055 < -1 for parm: 202; search for in echoinput.sso for parm_type -Warning 123 : parameter init value is less than parameter min -3.33474 < -1 for parm: 203; search for in echoinput.sso for parm_type -Warning 124 : parameter init value is less than parameter min -2.47934 < -1 for parm: 204; search for in echoinput.sso for parm_type -Warning 125 : parameter init value is less than parameter min -1.77042 < -1 for parm: 205; search for in echoinput.sso for parm_type -Warning 126 : parameter init value is less than parameter min -1.19576 < -1 for parm: 206; search for in echoinput.sso for parm_type -Warning 127 : parameter init value is less than parameter min -1.35915 < -1 for parm: 217; search for in echoinput.sso for parm_type -Warning 128 : parameter init value is less than parameter min -1.81365 < -1 for parm: 218; search for in echoinput.sso for parm_type -Warning 129 : parameter init value is less than parameter min -2.32377 < -1 for parm: 219; search for in echoinput.sso for parm_type -Warning 130 : parameter init value is less than parameter min -2.88658 < -1 for parm: 220; search for in echoinput.sso for parm_type -Warning 131 : parameter init value is less than parameter min -3.49939 < -1 for parm: 221; search for in echoinput.sso for parm_type -Warning 132 : parameter init value is less than parameter min -4.15969 < -1 for parm: 222; search for in echoinput.sso for parm_type -Warning 133 : parameter init value is less than parameter min -4.86517 < -1 for parm: 223; search for in echoinput.sso for parm_type -Warning 134 : parameter init value is less than parameter min -5.61367 < -1 for parm: 224; search for in echoinput.sso for parm_type -Warning 135 : parameter init value is less than parameter min -6.40319 < -1 for parm: 225; search for in echoinput.sso for parm_type -Warning 136 : parameter init value is less than parameter min -7.23187 < -1 for parm: 226; search for in echoinput.sso for parm_type -Warning 137 : parameter init value is less than parameter min -8.09797 < -1 for parm: 227; search for in echoinput.sso for parm_type -Warning 138 : parameter init value is less than parameter min -8.99986 < -1 for parm: 228; search for in echoinput.sso for parm_type -Warning 139 : parameter init value is less than parameter min -9.93602 < -1 for parm: 229; search for in echoinput.sso for parm_type -Warning 140 : parameter init value is less than parameter min -10.905 < -1 for parm: 230; search for in echoinput.sso for parm_type -Warning 141 : Setting in starter does not request all priors, and 142 parameters have priors and are not estimated, so their prior not included in obj_fun. -Warning 142 : fleet: 2 lencomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 62 -Warning 143 Adjustment: Fleet: 2 agecomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 12 -Warning 144 : fleet: 4 lencomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 10 -Warning 145 : Final gradient: 0.0048694 is larger than final_conv: 1e-06 +Warning 1 : parameter init value is less than parameter min -17.6973 < -1 for parm: 51; search for in echoinput.sso for parm_type +Warning 2 : parameter init value is less than parameter min -14.3325 < -1 for parm: 52; search for in echoinput.sso for parm_type +Warning 3 : parameter init value is less than parameter min -11.5543 < -1 for parm: 53; search for in echoinput.sso for parm_type +Warning 4 : parameter init value is less than parameter min -9.24508 < -1 for parm: 54; search for in echoinput.sso for parm_type +Warning 5 : parameter init value is less than parameter min -7.31939 < -1 for parm: 55; search for in echoinput.sso for parm_type +Warning 6 : parameter init value is less than parameter min -5.71317 < -1 for parm: 56; search for in echoinput.sso for parm_type +Warning 7 : parameter init value is less than parameter min -4.37719 < -1 for parm: 57; search for in echoinput.sso for parm_type +Warning 8 : parameter init value is less than parameter min -3.27279 < -1 for parm: 58; search for in echoinput.sso for parm_type +Warning 9 : parameter init value is less than parameter min -2.36906 < -1 for parm: 59; search for in echoinput.sso for parm_type +Warning 10 : parameter init value is less than parameter min -1.64089 < -1 for parm: 60; search for in echoinput.sso for parm_type +Warning 11 : parameter init value is less than parameter min -1.06761 < -1 for parm: 61; search for in echoinput.sso for parm_type +Warning 12 : parameter init value is less than parameter min -1.07666 < -1 for parm: 71; search for in echoinput.sso for parm_type +Warning 13 : parameter init value is less than parameter min -1.4766 < -1 for parm: 72; search for in echoinput.sso for parm_type +Warning 14 : parameter init value is less than parameter min -1.92839 < -1 for parm: 73; search for in echoinput.sso for parm_type +Warning 15 : parameter init value is less than parameter min -2.42857 < -1 for parm: 74; search for in echoinput.sso for parm_type +Warning 16 : parameter init value is less than parameter min -2.97402 < -1 for parm: 75; search for in echoinput.sso for parm_type +Warning 17 : parameter init value is less than parameter min -3.56192 < -1 for parm: 76; search for in echoinput.sso for parm_type +Warning 18 : parameter init value is less than parameter min -4.18968 < -1 for parm: 77; search for in echoinput.sso for parm_type +Warning 19 : parameter init value is less than parameter min -4.85496 < -1 for parm: 78; search for in echoinput.sso for parm_type +Warning 20 : parameter init value is less than parameter min -5.55561 < -1 for parm: 79; search for in echoinput.sso for parm_type +Warning 21 : parameter init value is less than parameter min -6.28968 < -1 for parm: 80; search for in echoinput.sso for parm_type +Warning 22 : parameter init value is less than parameter min -7.05536 < -1 for parm: 81; search for in echoinput.sso for parm_type +Warning 23 : parameter init value is less than parameter min -7.85098 < -1 for parm: 82; search for in echoinput.sso for parm_type +Warning 24 : parameter init value is less than parameter min -8.67499 < -1 for parm: 83; search for in echoinput.sso for parm_type +Warning 25 : parameter init value is less than parameter min -9.526 < -1 for parm: 84; search for in echoinput.sso for parm_type +Warning 26 : parameter init value is less than parameter min -10.4027 < -1 for parm: 85; search for in echoinput.sso for parm_type +Warning 27 : parameter init value is less than parameter min -11.3038 < -1 for parm: 86; search for in echoinput.sso for parm_type +Warning 28 : parameter init value is less than parameter min -12.2282 < -1 for parm: 87; search for in echoinput.sso for parm_type +Warning 29 : parameter init value is less than parameter min -13.1749 < -1 for parm: 88; search for in echoinput.sso for parm_type +Warning 30 : parameter init value is less than parameter min -14.1429 < -1 for parm: 89; search for in echoinput.sso for parm_type +Warning 31 : parameter init value is less than parameter min -15.1311 < -1 for parm: 90; search for in echoinput.sso for parm_type +Warning 32 : parameter init value is less than parameter min -16.1389 < -1 for parm: 91; search for in echoinput.sso for parm_type +Warning 33 : parameter init value is less than parameter min -17.1653 < -1 for parm: 92; search for in echoinput.sso for parm_type +Warning 34 : parameter init value is less than parameter min -34.5153 < -1 for parm: 95; search for in echoinput.sso for parm_type +Warning 35 : parameter init value is less than parameter min -28.346 < -1 for parm: 96; search for in echoinput.sso for parm_type +Warning 36 : parameter init value is less than parameter min -23.356 < -1 for parm: 97; search for in echoinput.sso for parm_type +Warning 37 : parameter init value is less than parameter min -19.2491 < -1 for parm: 98; search for in echoinput.sso for parm_type +Warning 38 : parameter init value is less than parameter min -15.8283 < -1 for parm: 99; search for in echoinput.sso for parm_type +Warning 39 : parameter init value is less than parameter min -12.9561 < -1 for parm: 100; search for in echoinput.sso for parm_type +Warning 40 : parameter init value is less than parameter min -10.5324 < -1 for parm: 101; search for in echoinput.sso for parm_type +Warning 41 : parameter init value is less than parameter min -8.48245 < -1 for parm: 102; search for in echoinput.sso for parm_type +Warning 42 : parameter init value is less than parameter min -6.74856 < -1 for parm: 103; search for in echoinput.sso for parm_type +Warning 43 : parameter init value is less than parameter min -5.28554 < -1 for parm: 104; search for in echoinput.sso for parm_type +Warning 44 : parameter init value is less than parameter min -4.05723 < -1 for parm: 105; search for in echoinput.sso for parm_type +Warning 45 : parameter init value is less than parameter min -3.03427 < -1 for parm: 106; search for in echoinput.sso for parm_type +Warning 46 : parameter init value is less than parameter min -2.19248 < -1 for parm: 107; search for in echoinput.sso for parm_type +Warning 47 : parameter init value is less than parameter min -1.51169 < -1 for parm: 108; search for in echoinput.sso for parm_type +Warning 48 : parameter init value is less than parameter min -1.14432 < -1 for parm: 119; search for in echoinput.sso for parm_type +Warning 49 : parameter init value is less than parameter min -1.55811 < -1 for parm: 120; search for in echoinput.sso for parm_type +Warning 50 : parameter init value is less than parameter min -2.02485 < -1 for parm: 121; search for in echoinput.sso for parm_type +Warning 51 : parameter init value is less than parameter min -2.54124 < -1 for parm: 122; search for in echoinput.sso for parm_type +Warning 52 : parameter init value is less than parameter min -3.10426 < -1 for parm: 123; search for in echoinput.sso for parm_type +Warning 53 : parameter init value is less than parameter min -3.71117 < -1 for parm: 124; search for in echoinput.sso for parm_type +Warning 54 : parameter init value is less than parameter min -4.35945 < -1 for parm: 125; search for in echoinput.sso for parm_type +Warning 55 : parameter init value is less than parameter min -5.04681 < -1 for parm: 126; search for in echoinput.sso for parm_type +Warning 56 : parameter init value is less than parameter min -5.77114 < -1 for parm: 127; search for in echoinput.sso for parm_type +Warning 57 : parameter init value is less than parameter min -6.5305 < -1 for parm: 128; search for in echoinput.sso for parm_type +Warning 58 : parameter init value is less than parameter min -7.32307 < -1 for parm: 129; search for in echoinput.sso for parm_type +Warning 59 : parameter init value is less than parameter min -8.14721 < -1 for parm: 130; search for in echoinput.sso for parm_type +Warning 60 : parameter init value is less than parameter min -9.00138 < -1 for parm: 131; search for in echoinput.sso for parm_type +Warning 61 : parameter init value is less than parameter min -9.88414 < -1 for parm: 132; search for in echoinput.sso for parm_type +Warning 62 : parameter init value is less than parameter min -10.7942 < -1 for parm: 133; search for in echoinput.sso for parm_type +Warning 63 : parameter init value is less than parameter min -11.7302 < -1 for parm: 134; search for in echoinput.sso for parm_type +Warning 64 : parameter init value is less than parameter min -12.6911 < -1 for parm: 135; search for in echoinput.sso for parm_type +Warning 65 : parameter init value is less than parameter min -13.6758 < -1 for parm: 136; search for in echoinput.sso for parm_type +Warning 66 : parameter init value is less than parameter min -14.6833 < -1 for parm: 137; search for in echoinput.sso for parm_type +Warning 67 : parameter init value is less than parameter min -15.7126 < -1 for parm: 138; search for in echoinput.sso for parm_type +Warning 68 : parameter init value is less than parameter min -43.2078 < -1 for parm: 141; search for in echoinput.sso for parm_type +Warning 69 : parameter init value is less than parameter min -35.9024 < -1 for parm: 142; search for in echoinput.sso for parm_type +Warning 70 : parameter init value is less than parameter min -29.961 < -1 for parm: 143; search for in echoinput.sso for parm_type +Warning 71 : parameter init value is less than parameter min -25.041 < -1 for parm: 144; search for in echoinput.sso for parm_type +Warning 72 : parameter init value is less than parameter min -20.9146 < -1 for parm: 145; search for in echoinput.sso for parm_type +Warning 73 : parameter init value is less than parameter min -17.4227 < -1 for parm: 146; search for in echoinput.sso for parm_type +Warning 74 : parameter init value is less than parameter min -14.4497 < -1 for parm: 147; search for in echoinput.sso for parm_type +Warning 75 : parameter init value is less than parameter min -11.9088 < -1 for parm: 148; search for in echoinput.sso for parm_type +Warning 76 : parameter init value is less than parameter min -9.73354 < -1 for parm: 149; search for in echoinput.sso for parm_type +Warning 77 : parameter init value is less than parameter min -7.87158 < -1 for parm: 150; search for in echoinput.sso for parm_type +Warning 78 : parameter init value is less than parameter min -6.2811 < -1 for parm: 151; search for in echoinput.sso for parm_type +Warning 79 : parameter init value is less than parameter min -4.92813 < -1 for parm: 152; search for in echoinput.sso for parm_type +Warning 80 : parameter init value is less than parameter min -3.7847 < -1 for parm: 153; search for in echoinput.sso for parm_type +Warning 81 : parameter init value is less than parameter min -2.82751 < -1 for parm: 154; search for in echoinput.sso for parm_type +Warning 82 : parameter init value is less than parameter min -2.03693 < -1 for parm: 155; search for in echoinput.sso for parm_type +Warning 83 : parameter init value is less than parameter min -1.39631 < -1 for parm: 156; search for in echoinput.sso for parm_type +Warning 84 : parameter init value is less than parameter min -1.21396 < -1 for parm: 167; search for in echoinput.sso for parm_type +Warning 85 : parameter init value is less than parameter min -1.64146 < -1 for parm: 168; search for in echoinput.sso for parm_type +Warning 86 : parameter init value is less than parameter min -2.12288 < -1 for parm: 169; search for in echoinput.sso for parm_type +Warning 87 : parameter init value is less than parameter min -2.65508 < -1 for parm: 170; search for in echoinput.sso for parm_type +Warning 88 : parameter init value is less than parameter min -3.23513 < -1 for parm: 171; search for in echoinput.sso for parm_type +Warning 89 : parameter init value is less than parameter min -3.86038 < -1 for parm: 172; search for in echoinput.sso for parm_type +Warning 90 : parameter init value is less than parameter min -4.52839 < -1 for parm: 173; search for in echoinput.sso for parm_type +Warning 91 : parameter init value is less than parameter min -5.23692 < -1 for parm: 174; search for in echoinput.sso for parm_type +Warning 92 : parameter init value is less than parameter min -5.98387 < -1 for parm: 175; search for in echoinput.sso for parm_type +Warning 93 : parameter init value is less than parameter min -6.76732 < -1 for parm: 176; search for in echoinput.sso for parm_type +Warning 94 : parameter init value is less than parameter min -7.5855 < -1 for parm: 177; search for in echoinput.sso for parm_type +Warning 95 : parameter init value is less than parameter min -8.43676 < -1 for parm: 178; search for in echoinput.sso for parm_type +Warning 96 : parameter init value is less than parameter min -9.31954 < -1 for parm: 179; search for in echoinput.sso for parm_type +Warning 97 : parameter init value is less than parameter min -10.2324 < -1 for parm: 180; search for in echoinput.sso for parm_type +Warning 98 : parameter init value is less than parameter min -11.1741 < -1 for parm: 181; search for in echoinput.sso for parm_type +Warning 99 : parameter init value is less than parameter min -12.1432 < -1 for parm: 182; search for in echoinput.sso for parm_type +Warning 100 : parameter init value is less than parameter min -13.1387 < -1 for parm: 183; search for in echoinput.sso for parm_type +Warning 101 : parameter init value is less than parameter min -14.1595 < -1 for parm: 184; search for in echoinput.sso for parm_type +Warning 102 : parameter init value is less than parameter min -64.199 < -1 for parm: 187; search for in echoinput.sso for parm_type +Warning 103 : parameter init value is less than parameter min -54.2645 < -1 for parm: 188; search for in echoinput.sso for parm_type +Warning 104 : parameter init value is less than parameter min -46.1763 < -1 for parm: 189; search for in echoinput.sso for parm_type +Warning 105 : parameter init value is less than parameter min -39.417 < -1 for parm: 190; search for in echoinput.sso for parm_type +Warning 106 : parameter init value is less than parameter min -33.69 < -1 for parm: 191; search for in echoinput.sso for parm_type +Warning 107 : parameter init value is less than parameter min -28.7885 < -1 for parm: 192; search for in echoinput.sso for parm_type +Warning 108 : parameter init value is less than parameter min -24.5619 < -1 for parm: 193; search for in echoinput.sso for parm_type +Warning 109 : parameter init value is less than parameter min -20.8976 < -1 for parm: 194; search for in echoinput.sso for parm_type +Warning 110 : parameter init value is less than parameter min -17.7088 < -1 for parm: 195; search for in echoinput.sso for parm_type +Warning 111 : parameter init value is less than parameter min -14.9277 < -1 for parm: 196; search for in echoinput.sso for parm_type +Warning 112 : parameter init value is less than parameter min -12.4997 < -1 for parm: 197; search for in echoinput.sso for parm_type +Warning 113 : parameter init value is less than parameter min -10.3807 < -1 for parm: 198; search for in echoinput.sso for parm_type +Warning 114 : parameter init value is less than parameter min -8.53434 < -1 for parm: 199; search for in echoinput.sso for parm_type +Warning 115 : parameter init value is less than parameter min -6.93022 < -1 for parm: 200; search for in echoinput.sso for parm_type +Warning 116 : parameter init value is less than parameter min -5.54285 < -1 for parm: 201; search for in echoinput.sso for parm_type +Warning 117 : parameter init value is less than parameter min -4.35055 < -1 for parm: 202; search for in echoinput.sso for parm_type +Warning 118 : parameter init value is less than parameter min -3.33474 < -1 for parm: 203; search for in echoinput.sso for parm_type +Warning 119 : parameter init value is less than parameter min -2.47934 < -1 for parm: 204; search for in echoinput.sso for parm_type +Warning 120 : parameter init value is less than parameter min -1.77042 < -1 for parm: 205; search for in echoinput.sso for parm_type +Warning 121 : parameter init value is less than parameter min -1.19576 < -1 for parm: 206; search for in echoinput.sso for parm_type +Warning 122 : parameter init value is less than parameter min -1.35915 < -1 for parm: 217; search for in echoinput.sso for parm_type +Warning 123 : parameter init value is less than parameter min -1.81365 < -1 for parm: 218; search for in echoinput.sso for parm_type +Warning 124 : parameter init value is less than parameter min -2.32377 < -1 for parm: 219; search for in echoinput.sso for parm_type +Warning 125 : parameter init value is less than parameter min -2.88658 < -1 for parm: 220; search for in echoinput.sso for parm_type +Warning 126 : parameter init value is less than parameter min -3.49939 < -1 for parm: 221; search for in echoinput.sso for parm_type +Warning 127 : parameter init value is less than parameter min -4.15969 < -1 for parm: 222; search for in echoinput.sso for parm_type +Warning 128 : parameter init value is less than parameter min -4.86517 < -1 for parm: 223; search for in echoinput.sso for parm_type +Warning 129 : parameter init value is less than parameter min -5.61367 < -1 for parm: 224; search for in echoinput.sso for parm_type +Warning 130 : parameter init value is less than parameter min -6.40319 < -1 for parm: 225; search for in echoinput.sso for parm_type +Warning 131 : parameter init value is less than parameter min -7.23187 < -1 for parm: 226; search for in echoinput.sso for parm_type +Warning 132 : parameter init value is less than parameter min -8.09797 < -1 for parm: 227; search for in echoinput.sso for parm_type +Warning 133 : parameter init value is less than parameter min -8.99986 < -1 for parm: 228; search for in echoinput.sso for parm_type +Warning 134 : parameter init value is less than parameter min -9.93602 < -1 for parm: 229; search for in echoinput.sso for parm_type +Warning 135 : parameter init value is less than parameter min -10.905 < -1 for parm: 230; search for in echoinput.sso for parm_type +Warning 136 Adjustment: Fleet: 2 agecomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 12 +Warning 137 : Final gradient: 0.000901475 is larger than final_conv: 1e-06 Note 3 Information: A revised protocol for the Fcast_yr specification is available and recommended. -Warning 146 : Reminder: Number of lamdas !=0.0 and !=1.0: 38 +Warning 138 : Reminder: Number of lamdas !=0.0 and !=1.0: 38 Note 4 Information: N parameters that are on or within 1% of min-max bound: 2; check results, variance may be suspect - 146 warnings and 4 notes + 138 warnings and 4 notes diff --git a/models/three_area_nomove/ss.par b/models/three_area_nomove/ss.par index f49edfc..0fca2c7 100644 --- a/models/three_area_nomove/ss.par +++ b/models/three_area_nomove/ss.par @@ -1,4 +1,4 @@ -# Number of parameters = 55 Objective function value = 7831.99466993150 Maximum gradient component = 0.000887831293512208 +# Number of parameters = 55 Objective function value = 7832.53172963500 Maximum gradient component = 0.000147538160395389 # dummy_parm: 1.00000000000 # MGparm[1]: @@ -60,7 +60,7 @@ # MGparm[29]: 0.500000000000 # SR_parm[1]: -9.33245962272 +9.33212424171 # SR_parm[2]: 0.600000000000 # SR_parm[3]: @@ -70,36 +70,36 @@ # SR_parm[5]: 0.00000000000 # recdev1: - -0.330137914917 1.72471069536 -1.23259802260 -1.22396301062 1.60543615871 -0.641218083593 -0.0109002895935 1.19497085044 -1.05089646106 1.22362393116 -0.888324781550 0.660698608477 0.457971026073 0.975847593241 0.331079641529 -0.547101704462 1.07366225731 -0.771930299360 0.823455261708 -1.17159685306 1.11198440616 0.510176375721 0.440681271172 -0.869272150007 0.652337998391 0.208938592970 0.488723892245 -0.890659794459 0.688625035288 -0.229572385632 1.39275962208 -0.825430790691 0.822177354249 -0.793043577691 -0.951623580932 -1.26266709984 -1.34846164585 -1.34846212637 + -0.330257419485 1.72479158223 -1.23264722988 -1.22402309911 1.60554929587 -0.641250785456 -0.0108629622126 1.19512905050 -1.05101481688 1.22379052292 -0.888369562933 0.660865168318 0.458149926862 0.976015073719 0.331175283057 -0.547054097018 1.07387206939 -0.772204534678 0.823674579023 -1.17155555022 1.11232303148 0.510268032070 0.440933403725 -0.869464095995 0.652327767306 0.208995566741 0.488725617682 -0.890677931742 0.688128187908 -0.228984244557 1.39199404350 -0.825273322109 0.821639119724 -0.793334315701 -0.951709996002 -1.26268868871 -1.34848733374 -1.34848733560 # Fcast_recruitments: 0.00000000000 0.00000000000 0.00000000000 # Fcast_impl_error: 0.00000000000 0.00000000000 0.00000000000 # Q_parm[1]: --0.865675938371 +-0.865329895545 # Q_parm[2]: -0.381563647047 +0.382872261729 # Q_parm[3]: --0.388423558802 +-0.388202567154 # selparm[1]: -44.7068521080 +44.7056011224 # selparm[2]: -7.61779306111 +7.61733891578 # selparm[3]: -59.6922215237 +59.6840593144 # selparm[4]: -10.8306002325 +10.8290669027 # selparm[5]: -45.7351448734 +45.7353721598 # selparm[6]: -9.81084318444 +9.81097500436 # selparm[7]: -57.7583081172 +57.7604020471 # selparm[8]: -9.60801565907 +9.60716440233 # selparm[9]: -57.2523518384 +57.2517633662 # selparm[10]: -9.38205701425 +9.38232706190 # checksum999: 999.000000000 diff --git a/models/three_area_nomove/ss_summary.sso b/models/three_area_nomove/ss_summary.sso index de0598f..8367a71 100644 --- a/models/three_area_nomove/ss_summary.sso +++ b/models/three_area_nomove/ss_summary.sso @@ -1,21 +1,21 @@ #V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 three_area_nomove_dat.ss #_DataFile three_area_nomove_ctl.ss #_Control -Run_Date: Tue Oct 31 17:11:12 2023 -Final_phase: 5 N_iterations: 419 +Run_Date: Wed Nov 1 11:31:42 2023 +Final_phase: 5 N_iterations: 428 #_LIKELIHOOD Label logL*Lambda -TOTAL_LogL 7831.99 -Catch 3.69841e-12 -Survey 4.81667 -Length_comp 1653.17 -Age_comp 6131.82 -Recruitment 42.1658 +TOTAL_LogL 7832.53 +Catch 3.70398e-12 +Survey 4.76709 +Length_comp 1653.39 +Age_comp 6131.66 +Recruitment 42.1699 InitEQ_regime 0 -Sum_recdevs 2.22045e-15 +Sum_recdevs 5.32907e-15 Forecast_Recruitment 0 -Parm_priors 0.0119089 -Parm_softbounds 0.0039089 +Parm_priors 0.539939 +Parm_softbounds 0.00390887 Parm_devs 0 F_Ballpark 0 Crash_Pen 0 @@ -52,49 +52,49 @@ RecrDist_month_1 0 0 Fix 0.5 CohortGrowDev 1 0 Fix 0.0909091 FracFemale_GP_1 0.5 0 Fix 0.499999 #_SPAWN_RECR -SR_LN(R0) 9.33246 0.0330712 Act 0.333115 +SR_LN(R0) 9.33212 0.0330757 Act 0.333031 SR_BH_steep 0.6 0 Fix 0.499999 SR_sigmaR 0.5 0 Fix 0.230769 SR_regime 0 0 Fix 0.5 SR_autocorr 0 0 Fix 0 -Main_RecrDev_1970 -0.330138 1.02708 Act 0.466986 -Main_RecrDev_1971 1.72471 0.164438 Act 0.672471 -Main_RecrDev_1972 -1.2326 0.512567 Act 0.37674 -Main_RecrDev_1973 -1.22396 0.511712 Act 0.377604 -Main_RecrDev_1974 1.60544 0.118808 Act 0.660544 -Main_RecrDev_1975 -0.641218 0.947624 Act 0.435878 -Main_RecrDev_1976 -0.0109003 0.835121 Act 0.49891 -Main_RecrDev_1977 1.19497 0.208911 Act 0.619497 -Main_RecrDev_1978 -1.0509 0.573639 Act 0.39491 -Main_RecrDev_1979 1.22362 0.114693 Act 0.622362 -Main_RecrDev_1980 -0.888325 0.655775 Act 0.411167 -Main_RecrDev_1981 0.660699 0.323435 Act 0.56607 -Main_RecrDev_1982 0.457971 0.605013 Act 0.545797 -Main_RecrDev_1983 0.975848 0.375687 Act 0.597585 -Main_RecrDev_1984 0.33108 0.536943 Act 0.533108 -Main_RecrDev_1985 -0.547102 0.852643 Act 0.44529 -Main_RecrDev_1986 1.07366 0.140922 Act 0.607366 -Main_RecrDev_1987 -0.77193 0.591656 Act 0.422807 -Main_RecrDev_1988 0.823455 0.121098 Act 0.582345 -Main_RecrDev_1989 -1.1716 0.511032 Act 0.38284 -Main_RecrDev_1990 1.11198 0.126468 Act 0.611198 -Main_RecrDev_1991 0.510176 0.287963 Act 0.551018 -Main_RecrDev_1992 0.440681 0.24959 Act 0.544068 -Main_RecrDev_1993 -0.869272 0.593734 Act 0.413073 -Main_RecrDev_1994 0.652338 0.182671 Act 0.565234 -Main_RecrDev_1995 0.208939 0.317626 Act 0.520894 -Main_RecrDev_1996 0.488724 0.208237 Act 0.548872 -Main_RecrDev_1997 -0.89066 0.541753 Act 0.410934 -Main_RecrDev_1998 0.688625 0.163898 Act 0.568862 -Main_RecrDev_1999 -0.229572 0.45065 Act 0.477043 -Main_RecrDev_2000 1.39276 0.114922 Act 0.639276 -Main_RecrDev_2001 -0.825431 0.592217 Act 0.417457 -Main_RecrDev_2002 0.822177 0.178832 Act 0.582218 -Main_RecrDev_2003 -0.793044 0.585666 Act 0.420696 -Main_RecrDev_2004 -0.951624 0.569122 Act 0.404838 -Main_RecrDev_2005 -1.26267 0.509003 Act 0.373733 -Main_RecrDev_2006 -1.34846 0.490696 Act 0.365154 -Main_RecrDev_2007 -1.34846 0.490696 Act 0.365154 +Main_RecrDev_1970 -0.330257 1.02699 Act 0.466974 +Main_RecrDev_1971 1.72479 0.164412 Act 0.672479 +Main_RecrDev_1972 -1.23265 0.51256 Act 0.376735 +Main_RecrDev_1973 -1.22402 0.511704 Act 0.377598 +Main_RecrDev_1974 1.60555 0.118801 Act 0.660555 +Main_RecrDev_1975 -0.641251 0.947675 Act 0.435875 +Main_RecrDev_1976 -0.010863 0.835226 Act 0.498914 +Main_RecrDev_1977 1.19513 0.208908 Act 0.619513 +Main_RecrDev_1978 -1.05101 0.573607 Act 0.394898 +Main_RecrDev_1979 1.22379 0.114686 Act 0.622379 +Main_RecrDev_1980 -0.88837 0.655795 Act 0.411163 +Main_RecrDev_1981 0.660865 0.323472 Act 0.566086 +Main_RecrDev_1982 0.45815 0.605132 Act 0.545815 +Main_RecrDev_1983 0.976015 0.375769 Act 0.597601 +Main_RecrDev_1984 0.331175 0.537084 Act 0.533117 +Main_RecrDev_1985 -0.547054 0.85282 Act 0.445295 +Main_RecrDev_1986 1.07387 0.140898 Act 0.607387 +Main_RecrDev_1987 -0.772205 0.591642 Act 0.42278 +Main_RecrDev_1988 0.823675 0.121074 Act 0.582367 +Main_RecrDev_1989 -1.17156 0.511058 Act 0.382844 +Main_RecrDev_1990 1.11232 0.126462 Act 0.611232 +Main_RecrDev_1991 0.510268 0.28801 Act 0.551027 +Main_RecrDev_1992 0.440933 0.249555 Act 0.544093 +Main_RecrDev_1993 -0.869464 0.593719 Act 0.413054 +Main_RecrDev_1994 0.652328 0.182664 Act 0.565233 +Main_RecrDev_1995 0.208996 0.317611 Act 0.5209 +Main_RecrDev_1996 0.488726 0.208243 Act 0.548873 +Main_RecrDev_1997 -0.890678 0.541755 Act 0.410932 +Main_RecrDev_1998 0.688128 0.163965 Act 0.568813 +Main_RecrDev_1999 -0.228984 0.450367 Act 0.477102 +Main_RecrDev_2000 1.39199 0.114989 Act 0.639199 +Main_RecrDev_2001 -0.825273 0.592189 Act 0.417473 +Main_RecrDev_2002 0.821639 0.178859 Act 0.582164 +Main_RecrDev_2003 -0.793334 0.585551 Act 0.420667 +Main_RecrDev_2004 -0.95171 0.569069 Act 0.404829 +Main_RecrDev_2005 -1.26269 0.509003 Act 0.373731 +Main_RecrDev_2006 -1.34849 0.490695 Act 0.365151 +Main_RecrDev_2007 -1.34849 0.490695 Act 0.365151 ForeRecr_2008 0 0.5 Act 0.5 ForeRecr_2009 0 0.5 Act 0.5 ForeRecr_2010 0 0.5 Act 0.5 @@ -102,510 +102,510 @@ Impl_err_2008 0 0.1 Act 0.5 Impl_err_2009 0 0.1 Act 0.5 Impl_err_2010 0 0.1 Act 0.5 #_Catchability -LnQ_base_Shallow_Survey(3) -0.865676 0 Fix 0.471144 -LnQ_base_Middle_Survey(4) 0.381564 0 Fix 0.512719 -LnQ_base_Deep_Survey(5) -0.388424 0 Fix 0.487053 +LnQ_base_Shallow_Survey(3) -0.86533 0 Fix 0.471156 +LnQ_base_Middle_Survey(4) 0.382872 0 Fix 0.512762 +LnQ_base_Deep_Survey(5) -0.388203 0 Fix 0.48706 #_Selectivity -Size_inflection_Shallow_Fishery(1) 44.7069 0.401507 Act 0.553251 -Size_95%width_Shallow_Fishery(1) 7.61779 0.723284 Act 0.126963 -Size_inflection_Middle_Fishery(2) 59.6922 0.451579 Act 0.74294 -Size_95%width_Middle_Fishery(2) 10.8306 0.439723 Act 0.18051 -Size_inflection_Shallow_Survey(3) 45.7351 0.44473 Act 0.566268 -Size_95%width_Shallow_Survey(3) 9.81084 0.752381 Act 0.163514 -Size_inflection_Middle_Survey(4) 57.7583 0.415717 Act 0.71846 -Size_95%width_Middle_Survey(4) 9.60802 0.470597 Act 0.160134 -Size_inflection_Deep_Survey(5) 57.2524 0.389583 Act 0.712055 -Size_95%width_Deep_Survey(5) 9.38206 0.590076 Act 0.156368 +Size_inflection_Shallow_Fishery(1) 44.7056 0.401551 Act 0.553235 +Size_95%width_Shallow_Fishery(1) 7.61734 0.723368 Act 0.126956 +Size_inflection_Middle_Fishery(2) 59.6841 0.451144 Act 0.742836 +Size_95%width_Middle_Fishery(2) 10.8291 0.439718 Act 0.180484 +Size_inflection_Shallow_Survey(3) 45.7354 0.444734 Act 0.566271 +Size_95%width_Shallow_Survey(3) 9.81098 0.752409 Act 0.163516 +Size_inflection_Middle_Survey(4) 57.7604 0.415737 Act 0.718486 +Size_95%width_Middle_Survey(4) 9.60716 0.470424 Act 0.160119 +Size_inflection_Deep_Survey(5) 57.2518 0.389598 Act 0.712048 +Size_95%width_Deep_Survey(5) 9.38233 0.590156 Act 0.156372 #_Derived_Quantities #_Spawn_Bio -SSB_Virgin 156829 5186.54 -SSB_Initial 156829 5186.54 -SSB_1945 156829 5186.54 -SSB_1946 156300 5186.55 -SSB_1947 155425 5186.54 -SSB_1948 154518 5186.5 -SSB_1949 153773 5186.45 -SSB_1950 152933 5186.37 -SSB_1951 152343 5186.33 -SSB_1952 151912 5186.32 -SSB_1953 151110 5186.24 -SSB_1954 150221 5186.16 -SSB_1955 149278 5186.09 -SSB_1956 148377 5186.07 -SSB_1957 147416 5186.05 -SSB_1958 147116 5186.42 -SSB_1959 146683 5186.67 -SSB_1960 146250 5186.94 -SSB_1961 145993 5187.34 -SSB_1962 145462 5187.55 -SSB_1963 145373 5188.13 -SSB_1964 145439 5188.77 -SSB_1965 145201 5189.09 -SSB_1966 144971 5189.45 -SSB_1967 144896 5189.97 -SSB_1968 144351 5190.09 -SSB_1969 144437 5190.85 -SSB_1970 144250 5191.26 -SSB_1971 143769 5191.45 -SSB_1972 143733 5192.11 -SSB_1973 143312 5192.57 -SSB_1974 147191 5012.79 -SSB_1975 152735 4709.92 -SSB_1976 156785 4478.74 -SSB_1977 162195 4190.12 -SSB_1978 166679 3937.55 -SSB_1979 170414 3751.9 -SSB_1980 172982 3569.78 -SSB_1981 175495 3415.97 -SSB_1982 178573 3238.83 -SSB_1983 179276 3083.07 -SSB_1984 179988 2940.4 -SSB_1985 178712 2795.66 -SSB_1986 177235 2652.3 -SSB_1987 169092 2501.98 -SSB_1988 167876 2389.69 -SSB_1989 164856 2255.2 -SSB_1990 156251 2121.49 -SSB_1991 155430 2000.02 -SSB_1992 152546 1889.15 -SSB_1993 147514 1761.86 -SSB_1994 145669 1654.66 -SSB_1995 144750 1566.19 -SSB_1996 142177 1509.78 -SSB_1997 139207 1474.34 -SSB_1998 136160 1462.04 -SSB_1999 134226 1483.78 -SSB_2000 131748 1522.2 -SSB_2001 129780 1604.33 -SSB_2002 127344 1713.17 -SSB_2003 127615 1969.85 -SSB_2004 129212 2328.31 -SSB_2005 131220 2769.06 -SSB_2006 131774 3204.15 -SSB_2007 129995 3552.31 +SSB_Virgin 156777 5185.49 +SSB_Initial 156777 5185.49 +SSB_1945 156777 5185.49 +SSB_1946 156247 5185.5 +SSB_1947 155372 5185.5 +SSB_1948 154465 5185.46 +SSB_1949 153720 5185.4 +SSB_1950 152880 5185.33 +SSB_1951 152290 5185.29 +SSB_1952 151860 5185.28 +SSB_1953 151057 5185.2 +SSB_1954 150168 5185.11 +SSB_1955 149225 5185.04 +SSB_1956 148325 5185.02 +SSB_1957 147364 5185.01 +SSB_1958 147063 5185.38 +SSB_1959 146630 5185.63 +SSB_1960 146197 5185.9 +SSB_1961 145940 5186.3 +SSB_1962 145409 5186.51 +SSB_1963 145320 5187.09 +SSB_1964 145386 5187.73 +SSB_1965 145148 5188.05 +SSB_1966 144918 5188.42 +SSB_1967 144843 5188.93 +SSB_1968 144298 5189.05 +SSB_1969 144384 5189.81 +SSB_1970 144197 5190.22 +SSB_1971 143717 5190.42 +SSB_1972 143680 5191.08 +SSB_1973 143259 5191.56 +SSB_1974 147137 5011.89 +SSB_1975 152680 4709.21 +SSB_1976 156729 4478.19 +SSB_1977 162138 4189.76 +SSB_1978 166621 3937.38 +SSB_1979 170356 3751.88 +SSB_1980 172923 3569.89 +SSB_1981 175436 3416.2 +SSB_1982 178514 3239.19 +SSB_1983 179217 3083.54 +SSB_1984 179929 2940.96 +SSB_1985 178654 2796.29 +SSB_1986 177178 2653.02 +SSB_1987 169035 2502.77 +SSB_1988 167820 2390.54 +SSB_1989 164800 2256.12 +SSB_1990 156196 2122.47 +SSB_1991 155376 2001.07 +SSB_1992 152493 1890.26 +SSB_1993 147463 1762.96 +SSB_1994 145620 1655.76 +SSB_1995 144702 1567.27 +SSB_1996 142130 1510.83 +SSB_1997 139160 1475.41 +SSB_1998 136114 1463.12 +SSB_1999 134179 1484.86 +SSB_2000 131701 1523.25 +SSB_2001 129731 1605.38 +SSB_2002 127292 1714.19 +SSB_2003 127558 1970.87 +SSB_2004 129149 2329.27 +SSB_2005 131148 2769.87 +SSB_2006 131695 3204.72 +SSB_2007 129911 3552.6 #_Recruitment -Recr_Virgin 11298.9 373.668 -Recr_Initial 11298.9 373.668 -Recr_1945 11298.9 373.668 -Recr_1946 11292.5 373.669 -Recr_1947 11281.9 373.672 -Recr_1948 11270.8 373.679 -Recr_1949 11261.6 373.687 -Recr_1950 11251.1 373.699 -Recr_1951 11243.7 373.71 -Recr_1952 11238.3 373.719 -Recr_1953 11228.1 373.737 -Recr_1954 11216.6 373.762 -Recr_1955 11204.4 373.792 -Recr_1956 11192.6 373.827 -Recr_1957 11179.9 373.868 -Recr_1958 11175.9 373.887 -Recr_1959 11170.1 373.912 -Recr_1960 11164.3 373.938 -Recr_1961 11160.8 373.957 -Recr_1962 11153.6 373.99 -Recr_1963 11152.4 374.003 -Recr_1964 11153.3 374.008 -Recr_1965 11150.1 374.026 -Recr_1966 11146.9 374.045 -Recr_1967 11145.9 374.056 -Recr_1968 11138.4 374.093 -Recr_1969 11139.6 374.098 -Recr_1970 7064.89 7247.53 -Recr_1971 55113.2 8495.77 -Recr_1972 2863.47 1479.55 -Recr_1973 2886.78 1489.1 -Recr_1974 49121 5221.37 -Recr_1975 5228 4969.15 -Recr_1976 9862.67 8237.55 -Recr_1977 33122.2 6742.39 -Recr_1978 3520.86 2033.23 -Recr_1979 34353.5 3647.91 -Recr_1980 4166.45 2746.65 -Recr_1981 19654.2 6288.2 -Recr_1982 16089.7 9734.79 -Recr_1983 27021.7 10101.8 -Recr_1984 14188.9 7591.98 -Recr_1985 5889.79 5036.15 -Recr_1986 29747.4 3945.49 -Recr_1987 4664.28 2779.43 -Recr_1988 22970 2603.48 -Recr_1989 3115.08 1601.45 -Recr_1990 30297.7 3654.14 -Recr_1991 16583 4785.02 -Recr_1992 15420.8 3781.94 -Recr_1993 4136.96 2468.8 -Recr_1994 18903.6 3356.07 -Recr_1995 12119.7 3868.05 -Recr_1996 15981 3257.04 -Recr_1997 4007.49 2184.18 -Recr_1998 19362.6 3071.87 -Recr_1999 7709.49 3497.42 -Recr_2000 38909.1 4274.04 -Recr_2001 4221.23 2514.75 -Recr_2002 21846 3829.03 -Recr_2003 4345.83 2554.15 -Recr_2004 3717.6 2122.94 -Recr_2005 2731.98 1396.75 -Recr_2006 2509.4 1237.08 -Recr_2007 2502.81 1233.77 +Recr_Virgin 11295.1 373.593 +Recr_Initial 11295.1 373.593 +Recr_1945 11295.1 373.593 +Recr_1946 11288.7 373.593 +Recr_1947 11278.1 373.597 +Recr_1948 11267 373.604 +Recr_1949 11257.8 373.612 +Recr_1950 11247.3 373.624 +Recr_1951 11239.9 373.635 +Recr_1952 11234.5 373.644 +Recr_1953 11224.3 373.662 +Recr_1954 11212.9 373.687 +Recr_1955 11200.6 373.717 +Recr_1956 11188.8 373.752 +Recr_1957 11176.1 373.793 +Recr_1958 11172.1 373.812 +Recr_1959 11166.3 373.837 +Recr_1960 11160.5 373.863 +Recr_1961 11157 373.882 +Recr_1962 11149.8 373.915 +Recr_1963 11148.6 373.928 +Recr_1964 11149.5 373.933 +Recr_1965 11146.3 373.951 +Recr_1966 11143.1 373.97 +Recr_1967 11142.1 373.982 +Recr_1968 11134.6 374.018 +Recr_1969 11135.8 374.023 +Recr_1970 7061.64 7243.58 +Recr_1971 55098.8 8491.95 +Recr_1972 2862.35 1478.95 +Recr_1973 2885.63 1488.48 +Recr_1974 49109.8 5219.83 +Recr_1975 5226.05 4967.57 +Recr_1976 9859.7 8236.11 +Recr_1977 33116.3 6741.1 +Recr_1978 3519.26 2032.2 +Recr_1979 34347.6 3647.06 +Recr_1980 4164.86 2745.69 +Recr_1981 19650.8 6287.88 +Recr_1982 16087.2 9735.17 +Recr_1983 27017.2 10102.3 +Recr_1984 14185.5 7592.18 +Recr_1985 5888.11 5035.75 +Recr_1986 29743.7 3944.25 +Recr_1987 4661.44 2777.68 +Recr_1988 22967.3 2602.63 +Recr_1989 3114.16 1601.07 +Recr_1990 30297.7 3653.93 +Recr_1991 16579 4784.64 +Recr_1992 15419.5 3781.05 +Recr_1993 4134.78 2467.44 +Recr_1994 18897.1 3354.79 +Recr_1995 12116.3 3866.79 +Recr_1996 15975.6 3256.07 +Recr_1997 4006.08 2183.42 +Recr_1998 19346.5 3070.68 +Recr_1999 7711.42 3496.1 +Recr_2000 38866.1 4272.22 +Recr_2001 4220.44 2514.15 +Recr_2002 21826.6 3826.32 +Recr_2003 4343.01 2551.99 +Recr_2004 3715.92 2121.78 +Recr_2005 2730.9 1396.19 +Recr_2006 2508.37 1236.57 +Recr_2007 2501.76 1233.25 #_SPR Basis= 1-SPR -SPRratio_1945 0.0520476 0.00150165 -SPRratio_1946 0.0805787 0.00215375 -SPRratio_1947 0.0853391 0.00228261 -SPRratio_1948 0.0764471 0.00213836 -SPRratio_1949 0.0868342 0.00238186 -SPRratio_1950 0.0710288 0.00207975 -SPRratio_1951 0.0607051 0.00185322 -SPRratio_1952 0.093383 0.0025928 -SPRratio_1953 0.102858 0.00280785 -SPRratio_1954 0.110153 0.00298151 -SPRratio_1955 0.111186 0.00305395 -SPRratio_1956 0.119274 0.00323785 -SPRratio_1957 0.0724846 0.00234872 -SPRratio_1958 0.0873846 0.00271426 -SPRratio_1959 0.0902318 0.0027991 -SPRratio_1960 0.07749 0.00252483 -SPRratio_1961 0.102521 0.00308952 -SPRratio_1962 0.0661937 0.00226656 -SPRratio_1963 0.0519205 0.00185516 -SPRratio_1964 0.0826394 0.0026826 -SPRratio_1965 0.0829055 0.00270039 -SPRratio_1966 0.0694477 0.00236887 -SPRratio_1967 0.110329 0.00329107 -SPRratio_1968 0.0553713 0.00199347 -SPRratio_1969 0.0830434 0.00273885 -SPRratio_1970 0.108401 0.00329358 -SPRratio_1971 0.0712569 0.00247071 -SPRratio_1972 0.0697578 0.00246429 -SPRratio_1973 0.0576892 0.00184906 -SPRratio_1974 0.078322 0.00208747 -SPRratio_1975 0.0653563 0.00172208 -SPRratio_1976 0.0886252 0.00208372 -SPRratio_1977 0.184013 0.00315267 -SPRratio_1978 0.137291 0.00255474 -SPRratio_1979 0.215627 0.00308754 -SPRratio_1980 0.161979 0.00250649 -SPRratio_1981 0.169066 0.00239578 -SPRratio_1982 0.255294 0.00293239 -SPRratio_1983 0.19484 0.00215834 -SPRratio_1984 0.268649 0.00253578 -SPRratio_1985 0.278348 0.0021538 -SPRratio_1986 0.329763 0.00141967 -SPRratio_1987 0.273389 0.00209387 -SPRratio_1988 0.319002 0.0018551 -SPRratio_1989 0.426345 0.00183241 -SPRratio_1990 0.29914 0.00203869 -SPRratio_1991 0.337136 0.00193952 -SPRratio_1992 0.365073 0.00138939 -SPRratio_1993 0.341766 0.00135026 -SPRratio_1994 0.339334 0.00129305 -SPRratio_1995 0.401103 0.00172151 -SPRratio_1996 0.420507 0.00192444 -SPRratio_1997 0.434213 0.00208761 -SPRratio_1998 0.412075 0.00222246 -SPRratio_1999 0.400016 0.00226543 -SPRratio_2000 0.388329 0.00251484 -SPRratio_2001 0.421579 0.00313314 -SPRratio_2002 0.413876 0.00344449 -SPRratio_2003 0.385955 0.00399366 -SPRratio_2004 0.37673 0.00494874 -SPRratio_2005 0.387553 0.00605049 -SPRratio_2006 0.397593 0.00693786 -SPRratio_2007 0.399237 0.00811322 +SPRratio_1945 0.0520631 0.00150224 +SPRratio_1946 0.080601 0.0021545 +SPRratio_1947 0.0853628 0.0022834 +SPRratio_1948 0.0764693 0.00213916 +SPRratio_1949 0.0868589 0.00238272 +SPRratio_1950 0.0710504 0.00208059 +SPRratio_1951 0.0607242 0.00185401 +SPRratio_1952 0.0934099 0.00259377 +SPRratio_1953 0.102887 0.00280886 +SPRratio_1954 0.110184 0.00298257 +SPRratio_1955 0.111218 0.00305507 +SPRratio_1956 0.119308 0.00323901 +SPRratio_1957 0.072509 0.00234982 +SPRratio_1958 0.0874128 0.00271545 +SPRratio_1959 0.0902608 0.00280032 +SPRratio_1960 0.0775162 0.00252602 +SPRratio_1961 0.102553 0.00309082 +SPRratio_1962 0.0662172 0.00226771 +SPRratio_1963 0.0519397 0.00185615 +SPRratio_1964 0.0826672 0.00268386 +SPRratio_1965 0.0829335 0.00270167 +SPRratio_1966 0.0694722 0.00237006 +SPRratio_1967 0.110363 0.00329244 +SPRratio_1968 0.0553919 0.00199455 +SPRratio_1969 0.0830718 0.00274017 +SPRratio_1970 0.108435 0.00329499 +SPRratio_1971 0.0712825 0.002472 +SPRratio_1972 0.069783 0.00246559 +SPRratio_1973 0.0577098 0.00185004 +SPRratio_1974 0.078348 0.00208857 +SPRratio_1975 0.0653789 0.00172308 +SPRratio_1976 0.0886539 0.00208487 +SPRratio_1977 0.18406 0.00315417 +SPRratio_1978 0.137331 0.00255622 +SPRratio_1979 0.21568 0.00308916 +SPRratio_1980 0.162025 0.00250805 +SPRratio_1981 0.169112 0.00239734 +SPRratio_1982 0.255354 0.00293422 +SPRratio_1983 0.194888 0.00215982 +SPRratio_1984 0.268709 0.00253754 +SPRratio_1985 0.278405 0.00215531 +SPRratio_1986 0.32981 0.00142057 +SPRratio_1987 0.273448 0.00209552 +SPRratio_1988 0.319062 0.00185658 +SPRratio_1989 0.426409 0.0018339 +SPRratio_1990 0.299208 0.00204062 +SPRratio_1991 0.337206 0.00194145 +SPRratio_1992 0.365131 0.00139076 +SPRratio_1993 0.341824 0.0013516 +SPRratio_1994 0.339391 0.00129436 +SPRratio_1995 0.401175 0.00172336 +SPRratio_1996 0.420589 0.00192657 +SPRratio_1997 0.434302 0.00208996 +SPRratio_1998 0.412171 0.00222507 +SPRratio_1999 0.400112 0.00226806 +SPRratio_2000 0.388434 0.0025178 +SPRratio_2001 0.421702 0.00313679 +SPRratio_2002 0.414003 0.00344845 +SPRratio_2003 0.386091 0.00399837 +SPRratio_2004 0.376885 0.0049547 +SPRratio_2005 0.387728 0.00605759 +SPRratio_2006 0.397782 0.00694555 +SPRratio_2007 0.399451 0.0081225 #_F Basis= _abs_F;_with_F=Exploit(bio) -F_1945 0.00336072 0.000111143 -F_1946 0.0056303 0.000186793 -F_1947 0.00598854 0.000199717 -F_1948 0.00515872 0.000172966 -F_1949 0.00599916 0.000202022 -F_1950 0.00462233 0.00015643 -F_1951 0.00380302 0.000129144 -F_1952 0.00644165 0.000219289 -F_1953 0.00724804 0.000247937 -F_1954 0.00786727 0.000270573 -F_1955 0.00787022 0.000272235 -F_1956 0.00858484 0.000298593 -F_1957 0.0044084 0.000154244 -F_1958 0.00555157 0.000194575 -F_1959 0.00575518 0.000202249 -F_1960 0.0047215 0.000166373 -F_1961 0.0067577 0.000238503 -F_1962 0.00385955 0.000136684 -F_1963 0.002904 0.000102898 -F_1964 0.00508199 0.000179993 -F_1965 0.00508971 0.000180556 -F_1966 0.00407985 0.000144955 -F_1967 0.00740172 0.000263116 -F_1968 0.00309652 0.000110476 -F_1969 0.00506328 0.000180542 -F_1970 0.00717456 0.000256151 -F_1971 0.00415104 0.000148683 -F_1972 0.00406843 0.000154609 -F_1973 0.00317457 9.48977e-05 -F_1974 0.0047429 0.000134065 -F_1975 0.00384991 0.000105946 -F_1976 0.00520777 0.000120084 -F_1977 0.0136514 0.000306855 -F_1978 0.00894472 0.000193714 -F_1979 0.0165394 0.000311343 -F_1980 0.0115008 0.000213117 -F_1981 0.0119329 0.000196925 -F_1982 0.0206663 0.000335165 -F_1983 0.0163414 0.000262484 -F_1984 0.0245299 0.000385213 -F_1985 0.0300642 0.000431662 -F_1986 0.0685447 0.000894338 -F_1987 0.0272738 0.000358558 -F_1988 0.0396763 0.000468611 -F_1989 0.0731302 0.000859297 -F_1990 0.028424 0.000314742 -F_1991 0.0366727 0.00040381 -F_1992 0.0586368 0.000628242 -F_1993 0.0469493 0.000487414 -F_1994 0.0448836 0.000437372 -F_1995 0.0474176 0.00047233 -F_1996 0.0452498 0.000467129 -F_1997 0.04512 0.00047798 -F_1998 0.0389997 0.000430246 -F_1999 0.0384339 0.000447606 -F_2000 0.0342423 0.000453806 -F_2001 0.0364299 0.000515611 -F_2002 0.0346151 0.00061256 -F_2003 0.0305115 0.0006011 -F_2004 0.0278804 0.000652422 -F_2005 0.0294055 0.000759255 -F_2006 0.0317831 0.0008944 -F_2007 0.0315862 0.000960018 +F_1945 0.00336185 0.000111195 +F_1946 0.0056322 0.000186881 +F_1947 0.00599057 0.000199812 +F_1948 0.00516047 0.000173049 +F_1949 0.00600121 0.000202119 +F_1950 0.00462392 0.000156506 +F_1951 0.00380433 0.000129207 +F_1952 0.00644388 0.000219396 +F_1953 0.00725056 0.000248059 +F_1954 0.00787002 0.000270708 +F_1955 0.00787298 0.000272372 +F_1956 0.00858787 0.000298745 +F_1957 0.00440997 0.000154323 +F_1958 0.00555355 0.000194674 +F_1959 0.00575724 0.000202353 +F_1960 0.00472319 0.000166459 +F_1961 0.00676013 0.000238626 +F_1962 0.00386094 0.000136755 +F_1963 0.00290505 0.000102952 +F_1964 0.00508382 0.000180087 +F_1965 0.00509155 0.00018065 +F_1966 0.00408132 0.000145031 +F_1967 0.0074044 0.000263253 +F_1968 0.00309764 0.000110534 +F_1969 0.00506512 0.000180637 +F_1970 0.00717717 0.000256286 +F_1971 0.00415255 0.000148761 +F_1972 0.00406992 0.000154688 +F_1973 0.0031757 9.4952e-05 +F_1974 0.00474458 0.000134144 +F_1975 0.00385127 0.00010601 +F_1976 0.00520954 0.00012016 +F_1977 0.013656 0.000307055 +F_1978 0.00894774 0.000193845 +F_1979 0.0165448 0.000311568 +F_1980 0.0115046 0.000213275 +F_1981 0.0119367 0.000197081 +F_1982 0.0206729 0.000335433 +F_1983 0.0163465 0.000262702 +F_1984 0.0245376 0.000385536 +F_1985 0.0300734 0.000432046 +F_1986 0.0685659 0.000895197 +F_1987 0.0272827 0.000358923 +F_1988 0.0396891 0.000469133 +F_1989 0.0731543 0.000860298 +F_1990 0.0284337 0.000315156 +F_1991 0.0366854 0.000404351 +F_1992 0.0586565 0.000629071 +F_1993 0.0469653 0.000488086 +F_1994 0.0448989 0.000438009 +F_1995 0.0474341 0.00047302 +F_1996 0.0452661 0.000467822 +F_1997 0.0451366 0.000478699 +F_1998 0.0390147 0.000430916 +F_1999 0.0384492 0.000448296 +F_2000 0.034257 0.000454492 +F_2001 0.036446 0.000516376 +F_2002 0.0346329 0.000613481 +F_2003 0.0305283 0.000602003 +F_2004 0.0278972 0.000653356 +F_2005 0.0294243 0.000760343 +F_2006 0.0318045 0.000895685 +F_2007 0.0316085 0.000961407 #_Depletion Basis= 100%*Virgin_Biomass -Bratio_1946 0.996624 0.000111737 -Bratio_1947 0.991042 0.000296298 -Bratio_1948 0.98526 0.000487269 -Bratio_1949 0.980511 0.000644058 -Bratio_1950 0.975156 0.00082077 -Bratio_1951 0.971394 0.000945106 -Bratio_1952 0.968648 0.00103614 -Bratio_1953 0.963531 0.00120501 -Bratio_1954 0.957861 0.00139222 -Bratio_1955 0.951847 0.0015909 -Bratio_1956 0.946108 0.0017809 -Bratio_1957 0.939979 0.00198383 -Bratio_1958 0.938064 0.00205008 -Bratio_1959 0.935302 0.00214357 -Bratio_1960 0.93254 0.00223702 -Bratio_1961 0.930904 0.00229414 -Bratio_1962 0.927518 0.00240772 -Bratio_1963 0.926949 0.00243079 -Bratio_1964 0.92737 0.0024214 -Bratio_1965 0.925853 0.0024738 -Bratio_1966 0.924388 0.00252478 -Bratio_1967 0.92391 0.00254412 -Bratio_1968 0.920434 0.00265983 -Bratio_1969 0.92098 0.002647 -Bratio_1970 0.91979 0.00268918 -Bratio_1971 0.916726 0.00279173 -Bratio_1972 0.91649 0.00280409 -Bratio_1973 0.913806 0.00533719 -Bratio_1974 0.938542 0.00821629 -Bratio_1975 0.973893 0.0113061 -Bratio_1976 0.999717 0.0149038 -Bratio_1977 1.03421 0.0185486 -Bratio_1978 1.0628 0.0220065 -Bratio_1979 1.08662 0.0246345 -Bratio_1980 1.10299 0.0268257 -Bratio_1981 1.11902 0.0287067 -Bratio_1982 1.13864 0.0305381 -Bratio_1983 1.14313 0.0316609 -Bratio_1984 1.14767 0.0327346 -Bratio_1985 1.13953 0.0331656 -Bratio_1986 1.13011 0.0334114 -Bratio_1987 1.07819 0.0324712 -Bratio_1988 1.07044 0.0325115 -Bratio_1989 1.05118 0.0322981 -Bratio_1990 0.99631 0.0308941 -Bratio_1991 0.991075 0.0309771 -Bratio_1992 0.972687 0.030585 -Bratio_1993 0.940601 0.0298589 -Bratio_1994 0.928838 0.0295999 -Bratio_1995 0.922976 0.0296104 -Bratio_1996 0.906573 0.0291962 -Bratio_1997 0.887634 0.0288181 -Bratio_1998 0.868207 0.0282935 -Bratio_1999 0.855872 0.0280961 -Bratio_2000 0.840075 0.0276989 -Bratio_2001 0.827523 0.0276277 -Bratio_2002 0.811988 0.0273444 -Bratio_2003 0.813716 0.0280726 -Bratio_2004 0.823904 0.0293186 -Bratio_2005 0.836703 0.0311308 -Bratio_2006 0.840235 0.0327857 -Bratio_2007 0.828892 0.0337079 +Bratio_1946 0.996623 0.000111789 +Bratio_1947 0.991039 0.000296437 +Bratio_1948 0.985255 0.000487497 +Bratio_1949 0.980504 0.000644361 +Bratio_1950 0.975148 0.000821157 +Bratio_1951 0.971384 0.000945552 +Bratio_1952 0.968637 0.00103663 +Bratio_1953 0.963519 0.00120558 +Bratio_1954 0.957847 0.00139288 +Bratio_1955 0.951831 0.00159165 +Bratio_1956 0.946089 0.00178175 +Bratio_1957 0.939958 0.00198477 +Bratio_1958 0.938043 0.00205106 +Bratio_1959 0.935279 0.0021446 +Bratio_1960 0.932517 0.0022381 +Bratio_1961 0.93088 0.00229524 +Bratio_1962 0.927494 0.00240888 +Bratio_1963 0.926924 0.00243196 +Bratio_1964 0.927345 0.00242257 +Bratio_1965 0.925828 0.002475 +Bratio_1966 0.924362 0.00252601 +Bratio_1967 0.923883 0.00254536 +Bratio_1968 0.920407 0.00266113 +Bratio_1969 0.920953 0.0026483 +Bratio_1970 0.919762 0.0026905 +Bratio_1971 0.916697 0.0027931 +Bratio_1972 0.916461 0.00280547 +Bratio_1973 0.913777 0.00533721 +Bratio_1974 0.938515 0.00821491 +Bratio_1975 0.973869 0.0113048 +Bratio_1976 0.999696 0.0149032 +Bratio_1977 1.0342 0.0185482 +Bratio_1978 1.06279 0.0220065 +Bratio_1979 1.08661 0.0246347 +Bratio_1980 1.10299 0.026826 +Bratio_1981 1.11902 0.0287073 +Bratio_1982 1.13865 0.0305388 +Bratio_1983 1.14313 0.0316618 +Bratio_1984 1.14768 0.0327356 +Bratio_1985 1.13954 0.0331667 +Bratio_1986 1.13013 0.0334126 +Bratio_1987 1.07819 0.0324721 +Bratio_1988 1.07044 0.0325124 +Bratio_1989 1.05118 0.032299 +Bratio_1990 0.996299 0.0308946 +Bratio_1991 0.991065 0.0309777 +Bratio_1992 0.972677 0.0305856 +Bratio_1993 0.940591 0.0298595 +Bratio_1994 0.928834 0.0296007 +Bratio_1995 0.922979 0.0296114 +Bratio_1996 0.906577 0.0291974 +Bratio_1997 0.887634 0.0288192 +Bratio_1998 0.8682 0.0282945 +Bratio_1999 0.855858 0.028097 +Bratio_2000 0.840053 0.0276996 +Bratio_2001 0.827486 0.027628 +Bratio_2002 0.811934 0.0273444 +Bratio_2003 0.81363 0.0280718 +Bratio_2004 0.823776 0.0293169 +Bratio_2005 0.836528 0.0311278 +Bratio_2006 0.840017 0.0327815 +Bratio_2007 0.828639 0.0337028 #_Mgmt_Quantity -SSB_unfished 156829 5186.54 -Totbio_unfished 298688 9877.98 -SmryBio_unfished 297555 9840.51 -Recr_unfished 11298.9 373.668 -SSB_Btgt 62731.7 2074.61 -SPR_Btgt 0.5 1.95256e-18 -annF_Btgt 0.0503054 0.000138655 -Dead_Catch_Btgt 6649.22 218.197 -SSB_SPR 43912.2 1452.23 -annF_SPR 0.0674792 0.000280452 -Dead_Catch_SPR 6310.77 209.425 -SSB_MSY 43912.2 1452.23 -SPR_MSY 0.4 7.99279e-12 -annF_MSY 0.0674792 0.000280452 -Dead_Catch_MSY 6310.77 209.425 -Ret_Catch_MSY 6310.77 209.425 -B_MSY/SSB_unfished 0.28 9.59134e-12 -ForeCatch_2008 18646.3 2421.92 -ForeCatch_2009 13879.4 1727.92 -ForeCatch_2010 10655 1283.19 -OFLCatch_2008 23609.7 1878.7 -OFLCatch_2009 17654.1 1281.05 -OFLCatch_2010 13630.2 911.714 +SSB_unfished 156777 5185.49 +Totbio_unfished 298588 9875.99 +SmryBio_unfished 297455 9838.53 +Recr_unfished 11295.1 373.593 +SSB_Btgt 62710.7 2074.2 +SPR_Btgt 0.5 3.05677e-18 +annF_Btgt 0.050301 0.000138712 +Dead_Catch_Btgt 6646.11 218.131 +SSB_SPR 43897.5 1451.94 +annF_SPR 0.0674707 0.000280682 +Dead_Catch_SPR 6307.59 209.364 +SSB_MSY 43897.5 1451.94 +SPR_MSY 0.4 8.0181e-12 +annF_MSY 0.0674707 0.000280682 +Dead_Catch_MSY 6307.59 209.364 +Ret_Catch_MSY 6307.59 209.364 +B_MSY/SSB_unfished 0.28 9.62172e-12 +ForeCatch_2008 18612.7 2419.62 +ForeCatch_2009 13854.5 1726.07 +ForeCatch_2010 10636.5 1281.73 +OFLCatch_2008 23566.9 1879.46 +OFLCatch_2009 17622.3 1281.42 +OFLCatch_2010 13606.6 911.858 #_Extra_stdev -ln(SPB)_1945 11.9629 0.0330712 -ln(SPB)_1976 11.9626 0.0285661 -ln(SPB)_2007 11.7752 0.0273266 -SmryBio_Virgin 297555 0.0 -SmryBio_Initial 297555 0.0 -SmryBio_1945 297555 0.0 -SmryBio_1946 296609 0.0 -SmryBio_1947 295063 0.0 -SmryBio_1948 293484 0.0 -SmryBio_1949 292208 0.0 -SmryBio_1950 290763 0.0 -SmryBio_1951 289770 0.0 -SmryBio_1952 289056 0.0 -SmryBio_1953 287664 0.0 -SmryBio_1954 286122 0.0 -SmryBio_1955 284490 0.0 -SmryBio_1956 282941 0.0 -SmryBio_1957 281281 0.0 -SmryBio_1958 280821 0.0 -SmryBio_1959 280095 0.0 -SmryBio_1960 279360 0.0 -SmryBio_1961 278941 0.0 -SmryBio_1962 278012 0.0 -SmryBio_1963 277893 0.0 -SmryBio_1964 278041 0.0 -SmryBio_1965 277619 0.0 -SmryBio_1966 277216 0.0 -SmryBio_1967 277098 0.0 -SmryBio_1968 276116 0.0 -SmryBio_1969 276303 0.0 -SmryBio_1970 275975 0.0 -SmryBio_1971 275112 0.0 -SmryBio_1972 272832 0.0 -SmryBio_1973 296104 0.0 -SmryBio_1974 301082 0.0 -SmryBio_1975 301825 0.0 -SmryBio_1976 324515 0.0 -SmryBio_1977 330150 0.0 -SmryBio_1978 331704 0.0 -SmryBio_1979 344934 0.0 -SmryBio_1980 342585 0.0 -SmryBio_1981 354985 0.0 -SmryBio_1982 354151 0.0 -SmryBio_1983 355172 0.0 -SmryBio_1984 356096 0.0 -SmryBio_1985 360063 0.0 -SmryBio_1986 357708 0.0 -SmryBio_1987 339153 0.0 -SmryBio_1988 343228 0.0 -SmryBio_1989 333282 0.0 -SmryBio_1990 321771 0.0 -SmryBio_1991 313830 0.0 -SmryBio_1992 315962 0.0 -SmryBio_1993 309057 0.0 -SmryBio_1994 305078 0.0 -SmryBio_1995 295354 0.0 -SmryBio_1996 290344 0.0 -SmryBio_1997 283289 0.0 -SmryBio_1998 278181 0.0 -SmryBio_1999 268825 0.0 -SmryBio_2000 266279 0.0 -SmryBio_2001 260143 0.0 -SmryBio_2002 269651 0.0 -SmryBio_2003 266588 0.0 -SmryBio_2004 271409 0.0 -SmryBio_2005 268351 0.0 -SmryBio_2006 261617 0.0 -SmryBio_2007 251376 0.0 -SmryBio_2008 239209 0.0 -SmryBio_2009 217117 0.0 -SmryBio_2010 202952 0.0 +ln(SPB)_1945 11.9626 0.0330757 +ln(SPB)_1976 11.9623 0.0285728 +ln(SPB)_2007 11.7746 0.0273463 +SmryBio_Virgin 297455 0.0 +SmryBio_Initial 297455 0.0 +SmryBio_1945 297455 0.0 +SmryBio_1946 296509 0.0 +SmryBio_1947 294964 0.0 +SmryBio_1948 293384 0.0 +SmryBio_1949 292108 0.0 +SmryBio_1950 290663 0.0 +SmryBio_1951 289670 0.0 +SmryBio_1952 288956 0.0 +SmryBio_1953 287564 0.0 +SmryBio_1954 286022 0.0 +SmryBio_1955 284390 0.0 +SmryBio_1956 282841 0.0 +SmryBio_1957 281181 0.0 +SmryBio_1958 280721 0.0 +SmryBio_1959 279995 0.0 +SmryBio_1960 279260 0.0 +SmryBio_1961 278841 0.0 +SmryBio_1962 277912 0.0 +SmryBio_1963 277792 0.0 +SmryBio_1964 277940 0.0 +SmryBio_1965 277519 0.0 +SmryBio_1966 277116 0.0 +SmryBio_1967 276998 0.0 +SmryBio_1968 276016 0.0 +SmryBio_1969 276203 0.0 +SmryBio_1970 275875 0.0 +SmryBio_1971 275012 0.0 +SmryBio_1972 272732 0.0 +SmryBio_1973 295998 0.0 +SmryBio_1974 300975 0.0 +SmryBio_1975 301719 0.0 +SmryBio_1976 324405 0.0 +SmryBio_1977 330039 0.0 +SmryBio_1978 331592 0.0 +SmryBio_1979 344821 0.0 +SmryBio_1980 342473 0.0 +SmryBio_1981 354872 0.0 +SmryBio_1982 354039 0.0 +SmryBio_1983 355060 0.0 +SmryBio_1984 355985 0.0 +SmryBio_1985 359952 0.0 +SmryBio_1986 357598 0.0 +SmryBio_1987 339042 0.0 +SmryBio_1988 343117 0.0 +SmryBio_1989 333172 0.0 +SmryBio_1990 321660 0.0 +SmryBio_1991 313722 0.0 +SmryBio_1992 315856 0.0 +SmryBio_1993 308952 0.0 +SmryBio_1994 304974 0.0 +SmryBio_1995 295252 0.0 +SmryBio_1996 290240 0.0 +SmryBio_1997 283185 0.0 +SmryBio_1998 278075 0.0 +SmryBio_1999 268718 0.0 +SmryBio_2000 266164 0.0 +SmryBio_2001 260029 0.0 +SmryBio_2002 269513 0.0 +SmryBio_2003 266441 0.0 +SmryBio_2004 271246 0.0 +SmryBio_2005 268180 0.0 +SmryBio_2006 261441 0.0 +SmryBio_2007 251199 0.0 +SmryBio_2008 239033 0.0 +SmryBio_2009 216971 0.0 +SmryBio_2010 202828 0.0 #_survey_stdev 0 #_Biomass -TotBio_Virgin 298688 0.0 -TotBio_Initial 298688 0.0 -TotBio_1945 298688 0.0 -TotBio_1946 297742 0.0 -TotBio_1947 296196 0.0 -TotBio_1948 294615 0.0 -TotBio_1949 293338 0.0 -TotBio_1950 291892 0.0 -TotBio_1951 290898 0.0 -TotBio_1952 290184 0.0 -TotBio_1953 288791 0.0 -TotBio_1954 287248 0.0 -TotBio_1955 285615 0.0 -TotBio_1956 284064 0.0 -TotBio_1957 282403 0.0 -TotBio_1958 281942 0.0 -TotBio_1959 281216 0.0 -TotBio_1960 280480 0.0 -TotBio_1961 280061 0.0 -TotBio_1962 279131 0.0 -TotBio_1963 279011 0.0 -TotBio_1964 279159 0.0 -TotBio_1965 278737 0.0 -TotBio_1966 278334 0.0 -TotBio_1967 278216 0.0 -TotBio_1968 277234 0.0 -TotBio_1969 277420 0.0 -TotBio_1970 277092 0.0 -TotBio_1971 275825 0.0 -TotBio_1972 278354 0.0 -TotBio_1973 296391 0.0 -TotBio_1974 301375 0.0 -TotBio_1975 306746 0.0 -TotBio_1976 325040 0.0 -TotBio_1977 331142 0.0 -TotBio_1978 335023 0.0 -TotBio_1979 345290 0.0 -TotBio_1980 346027 0.0 -TotBio_1981 355405 0.0 -TotBio_1982 356122 0.0 -TotBio_1983 356786 0.0 -TotBio_1984 358804 0.0 -TotBio_1985 361485 0.0 -TotBio_1986 358301 0.0 -TotBio_1987 342134 0.0 -TotBio_1988 343697 0.0 -TotBio_1989 335584 0.0 -TotBio_1990 322086 0.0 -TotBio_1991 316867 0.0 -TotBio_1992 317625 0.0 -TotBio_1993 310602 0.0 -TotBio_1994 305494 0.0 -TotBio_1995 297249 0.0 -TotBio_1996 291559 0.0 -TotBio_1997 284891 0.0 -TotBio_1998 278585 0.0 -TotBio_1999 270766 0.0 -TotBio_2000 267055 0.0 -TotBio_2001 264042 0.0 -TotBio_2002 270076 0.0 -TotBio_2003 268777 0.0 -TotBio_2004 271845 0.0 -TotBio_2005 268724 0.0 -TotBio_2006 261891 0.0 -TotBio_2007 251627 0.0 -TotBio_2008 239461 0.0 -TotBio_2009 218206 0.0 -TotBio_2010 204022 0.0 +TotBio_Virgin 298588 0.0 +TotBio_Initial 298588 0.0 +TotBio_1945 298588 0.0 +TotBio_1946 297642 0.0 +TotBio_1947 296096 0.0 +TotBio_1948 294515 0.0 +TotBio_1949 293238 0.0 +TotBio_1950 291792 0.0 +TotBio_1951 290798 0.0 +TotBio_1952 290083 0.0 +TotBio_1953 288691 0.0 +TotBio_1954 287148 0.0 +TotBio_1955 285515 0.0 +TotBio_1956 283964 0.0 +TotBio_1957 282303 0.0 +TotBio_1958 281842 0.0 +TotBio_1959 281116 0.0 +TotBio_1960 280380 0.0 +TotBio_1961 279960 0.0 +TotBio_1962 279031 0.0 +TotBio_1963 278911 0.0 +TotBio_1964 279058 0.0 +TotBio_1965 278637 0.0 +TotBio_1966 278234 0.0 +TotBio_1967 278115 0.0 +TotBio_1968 277133 0.0 +TotBio_1969 277319 0.0 +TotBio_1970 276991 0.0 +TotBio_1971 275724 0.0 +TotBio_1972 278253 0.0 +TotBio_1973 296285 0.0 +TotBio_1974 301269 0.0 +TotBio_1975 306639 0.0 +TotBio_1976 324929 0.0 +TotBio_1977 331030 0.0 +TotBio_1978 334910 0.0 +TotBio_1979 345177 0.0 +TotBio_1980 345914 0.0 +TotBio_1981 355291 0.0 +TotBio_1982 356009 0.0 +TotBio_1983 356674 0.0 +TotBio_1984 358693 0.0 +TotBio_1985 361374 0.0 +TotBio_1986 358190 0.0 +TotBio_1987 342023 0.0 +TotBio_1988 343586 0.0 +TotBio_1989 335474 0.0 +TotBio_1990 321975 0.0 +TotBio_1991 316758 0.0 +TotBio_1992 317519 0.0 +TotBio_1993 310497 0.0 +TotBio_1994 305390 0.0 +TotBio_1995 297146 0.0 +TotBio_1996 291455 0.0 +TotBio_1997 284785 0.0 +TotBio_1998 278478 0.0 +TotBio_1999 270657 0.0 +TotBio_2000 266941 0.0 +TotBio_2001 263923 0.0 +TotBio_2002 269938 0.0 +TotBio_2003 268629 0.0 +TotBio_2004 271682 0.0 +TotBio_2005 268553 0.0 +TotBio_2006 261715 0.0 +TotBio_2007 251450 0.0 +TotBio_2008 239285 0.0 +TotBio_2009 218060 0.0 +TotBio_2010 203898 0.0 TotCatch_Virgin 0 0.0 TotCatch_Initial 0 0.0 TotCatch_1945 1000 0.0 @@ -671,6 +671,6 @@ TotCatch_2004 7567 0.0 TotCatch_2005 7891 0.0 TotCatch_2006 8315 0.0 TotCatch_2007 7940 0.0 -TotCatch_2008 18646.3 0.0 -TotCatch_2009 13879.4 0.0 -TotCatch_2010 10655 0.0 +TotCatch_2008 18612.7 0.0 +TotCatch_2009 13854.5 0.0 +TotCatch_2010 10636.5 0.0 diff --git a/models/three_area_nomove/starter.ss b/models/three_area_nomove/starter.ss index f12c8c1..202a228 100644 --- a/models/three_area_nomove/starter.ss +++ b/models/three_area_nomove/starter.ss @@ -14,7 +14,7 @@ three_area_nomove_ctl.ss 0 # write 1st iteration details to echoinput.sso file (0,1) 0 # write parm values to ParmTrace.sso (0=no,1=good,active; 2=good,all; 3=every_iter,all_parms; 4=every,active) 0 # write to cumreport.sso (0=no,1=like×eries; 2=add survey fits) -0 # Include prior_like for non-estimated parameters (0,1) +1 # Include prior_like for non-estimated parameters (0,1) 1 # Use Soft Boundaries to aid convergence (0,1) (recommended) # 1 # Number of datafiles to produce: 0 turns off all *.ss_new; 1st is data_echo.ss_new, 2nd is data_expval.ss, 3rd and higher are data_boot_**N.ss, diff --git a/models/three_area_nomove/three_area_nomove_dat.ss b/models/three_area_nomove/three_area_nomove_dat.ss index 4bf71fc..ec985a1 100644 --- a/models/three_area_nomove/three_area_nomove_dat.ss +++ b/models/three_area_nomove/three_area_nomove_dat.ss @@ -26,8 +26,8 @@ #_catch_mult: 0=no; 1=yes #_rows are fleets #_fleet_type fishery_timing area catch_units need_catch_mult fleetname - 1 1 1 1 0 Shallow_Fishery # 1 - 1 1 2 1 0 Middle_Fishery # 2 + 1 -1 1 1 0 Shallow_Fishery # 1 + 1 -1 2 1 0 Middle_Fishery # 2 3 1 1 2 0 Shallow_Survey # 3 3 1 2 2 0 Middle_Survey # 4 3 1 3 2 0 Deep_Survey # 5 diff --git a/models/three_area_nomove/warning.sso b/models/three_area_nomove/warning.sso index 4dcd38b..7301360 100644 --- a/models/three_area_nomove/warning.sso +++ b/models/three_area_nomove/warning.sso @@ -1,10 +1,7 @@ -Warning 1 : fishing fleet: 1 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month -Warning 2 : fishing fleet: 2 surveytime read as: 1 normally is -1 for fishing fleet; can override for indiv. obs. using 1000+month Note 1 Suggestion: recr_dist_method 3 is simpler and takes 1 parm for each settlement -Warning 3 : bias adjustment ramp extends into forecast; biasadj set to 0.0 internally for forecast years -Warning 4 : Setting in starter does not request all priors, and 26 parameters have priors and are not estimated, so their prior not included in obj_fun. -Warning 5 : 1st iteration warning: catch logL > 50% total logL; check configuration; suggest start with larger R0 -Warning 6 : Forecast F capped by max possible F from control file1.5 -Warning 7 : Forecast F capped by max possible F from control file1.5 +Warning 1 : bias adjustment ramp extends into forecast; biasadj set to 0.0 internally for forecast years +Warning 2 : 1st iteration warning: catch logL > 50% total logL; check configuration; suggest start with larger R0 +Warning 3 : Forecast F capped by max possible F from control file1.5 +Warning 4 : Forecast F capped by max possible F from control file1.5 Note 2 Information: A revised protocol for the Fcast_yr specification is available and recommended. - 7 warnings and 2 notes + 4 warnings and 2 notes diff --git a/models/vermillion_snapper/ss.par b/models/vermillion_snapper/ss.par index 1ed9ca2..ec01ec8 100644 --- a/models/vermillion_snapper/ss.par +++ b/models/vermillion_snapper/ss.par @@ -1,4 +1,4 @@ -# Number of parameters = 325 Objective function value = 359.687327137238 Maximum gradient component = 0.000210451507491268 +# Number of parameters = 325 Objective function value = 359.687327137237 Maximum gradient component = 0.000241591197284326 # dummy_parm: 1.00000000000 # MGparm[1]: @@ -28,9 +28,9 @@ # MGparm[13]: 0.500000000000 # SR_parm[1]: -10.2108820340 +10.2108820317 # SR_parm[2]: -0.729779304209 +0.729779306240 # SR_parm[3]: 0.300000000000 # SR_parm[4]: @@ -38,571 +38,571 @@ # SR_parm[5]: 0.00000000000 # recdev1: - -0.499170867844 -0.252459817382 -0.243284010810 -0.173488415351 -0.274908474667 0.272083569876 0.182309571208 0.154794802353 0.113740760474 0.108373442621 -0.159756062278 -0.0260478075750 0.198589210838 -0.241049944731 -0.319784698358 -0.487077652035 -0.184548381032 0.139295955749 0.247648120805 0.108629444261 0.260079383584 0.837105682857 0.393242279026 -0.154316091590 + -0.499170875904 -0.252459817297 -0.243284013065 -0.173488412548 -0.274908472879 0.272083570510 0.182309571699 0.154794803492 0.113740760371 0.108373443020 -0.159756061489 -0.0260478070095 0.198589212325 -0.241049943748 -0.319784699020 -0.487077652159 -0.184548382884 0.139295956147 0.247648121303 0.108629445538 0.260079385225 0.837105681311 0.393242285358 -0.154316098296 # Fcast_recruitments: 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 # F_rate[1]: -3.37475437557e-05 +3.37475438659e-05 # F_rate[2]: -6.74467539709e-05 +6.74467542268e-05 # F_rate[3]: -0.000102276364047 +0.000102276364222 # F_rate[4]: -0.000137744935340 +0.000137744935844 # F_rate[5]: -0.000174587941209 +0.000174587941844 # F_rate[6]: -0.000212664650875 +0.000212664651405 # F_rate[7]: -0.000251782591619 +0.000251782592266 # F_rate[8]: -0.000292950935978 +0.000292950936780 # F_rate[9]: -0.000336355491533 +0.000336355492592 # F_rate[10]: -0.000382098831020 +0.000382098832070 # F_rate[11]: -0.000431082871231 +0.000431082872284 # F_rate[12]: -0.000481527992022 +0.000481527992682 # F_rate[13]: -0.000531716734780 +0.000531716737555 # F_rate[14]: -0.000579522957429 +0.000579522958236 # F_rate[15]: -0.000641223932172 +0.000641223934532 # F_rate[16]: -0.000644776175645 +0.000644776176631 # F_rate[17]: -0.000340631586485 +0.000340631587535 # F_rate[18]: -0.000699134357786 +0.000699134359699 # F_rate[19]: -0.00140952411666 +0.00140952411404 # F_rate[20]: -0.00182360360230 +0.00182360360385 # F_rate[21]: -0.00173029595558 +0.00173029595591 # F_rate[22]: -0.00192143795456 +0.00192143795321 # F_rate[23]: -0.00172019185098 +0.00172019185329 # F_rate[24]: -0.00293506854270 +0.00293506855769 # F_rate[25]: -0.00281599366380 +0.00281599367768 # F_rate[26]: -0.00619971042634 +0.00619971046567 # F_rate[27]: -0.00551135545165 +0.00551135546786 # F_rate[28]: -0.00756800758925 +0.00756800762731 # F_rate[29]: -0.00660966342231 +0.00660966343728 # F_rate[30]: -0.00512448698245 +0.00512448701554 # F_rate[31]: -0.00380840553053 +0.00380840553935 # F_rate[32]: -0.00561256012530 +0.00561256014109 # F_rate[33]: -0.00591157953652 +0.00591157957631 # F_rate[34]: -0.00947612453802 +0.00947612453671 # F_rate[35]: -0.0136312913226 +0.0136312913723 # F_rate[36]: -0.0178835100558 +0.0178835100731 # F_rate[37]: -0.0192575513905 +0.0192575513403 # F_rate[38]: -0.0157872399380 +0.0157872398904 # F_rate[39]: -0.0153961278854 +0.0153961278614 # F_rate[40]: -0.0156593077680 +0.0156593077257 # F_rate[41]: -0.0394760725584 +0.0394760724086 # F_rate[42]: -0.0335011988496 +0.0335011988643 # F_rate[43]: -0.0451572300940 +0.0451572300672 # F_rate[44]: -0.0667085735333 +0.0667085735177 # F_rate[45]: -0.0688994149984 +0.0688994149080 # F_rate[46]: -0.0722380887711 +0.0722380884719 # F_rate[47]: -0.0613844112600 +0.0613844111586 # F_rate[48]: -0.0609124333796 +0.0609124334427 # F_rate[49]: -0.0510698937225 +0.0510698936813 # F_rate[50]: -0.0625273106738 +0.0625273105738 # F_rate[51]: -0.0496801826279 +0.0496801825796 # F_rate[52]: -0.0557823079054 +0.0557823078651 # F_rate[53]: -0.0648572694031 +0.0648572695017 # F_rate[54]: -0.0728401117472 +0.0728401118385 # F_rate[55]: -0.0576947632056 +0.0576947632081 # F_rate[56]: -0.0852313442460 +0.0852313442713 # F_rate[57]: -0.0910478493541 +0.0910478493547 # F_rate[58]: -0.0919464035130 +0.0919464034696 # F_rate[59]: -0.102780810272 +0.102780810189 # F_rate[60]: -0.152236901704 +0.152236901554 # F_rate[61]: -0.0732149193355 +0.0732149192778 # F_rate[62]: -0.141999574991 +0.141999574811 # F_rate[63]: -0.102494742337 +0.102494742057 # F_rate[64]: -0.0588204715575 +0.0588204713967 # F_rate[65]: -0.0657596613029 +0.0657596613907 # F_rate[66]: -0.0352963664546 +0.0352963663125 # F_rate[67]: -0.0381923872645 +0.0381923872480 # F_rate[68]: -0.0381869633320 +0.0381869630970 # F_rate[69]: -2.99222540222e-05 +2.99222540981e-05 # F_rate[70]: -5.99393051336e-05 +5.99393054468e-05 # F_rate[71]: -9.03008801216e-05 +9.03008802901e-05 # F_rate[72]: -0.000121407278375 +0.000121407278644 # F_rate[73]: -0.000153529004978 +0.000153529005185 # F_rate[74]: -0.000186752297569 +0.000186752298188 # F_rate[75]: -0.000221127523039 +0.000221127523662 # F_rate[76]: -0.000256858485145 +0.000256858485111 # F_rate[77]: -0.000294200941339 +0.000294200941454 # F_rate[78]: -0.000333597661796 +0.000333597662702 # F_rate[79]: -0.000375430851468 +0.000375430852311 # F_rate[80]: -0.000419736524700 +0.000419736526173 # F_rate[81]: -0.000465633812159 +0.000465633813130 # F_rate[82]: -0.000511235765121 +0.000511235767041 # F_rate[83]: -0.000542102981551 +0.000542102982596 # F_rate[84]: -0.000484045308093 +0.000484045309131 # F_rate[85]: -0.000157081900344 +0.000157081900998 # F_rate[86]: -0.000376456983650 +0.000376456984108 # F_rate[87]: -0.00121813817518 +0.00121813817781 # F_rate[88]: -0.000666328025033 +0.000666328025529 # F_rate[89]: -0.00111019981204 +0.00111019981355 # F_rate[90]: -0.00122231154847 +0.00122231155084 # F_rate[91]: -0.00120266088791 +0.00120266088942 # F_rate[92]: -0.00144267414759 +0.00144267414994 # F_rate[93]: -0.00177821444283 +0.00177821444561 # F_rate[94]: -0.00294880773811 +0.00294880774744 # F_rate[95]: -0.00165319594308 +0.00165319594814 # F_rate[96]: -0.00540741241813 +0.00540741244399 # F_rate[97]: -0.00459511190245 +0.00459511191997 # F_rate[98]: -0.00630137645610 +0.00630137645763 # F_rate[99]: -0.00430919326959 +0.00430919329013 # F_rate[100]: -0.00341012093087 +0.00341012094264 # F_rate[101]: -0.00440949314061 +0.00440949315530 # F_rate[102]: -0.00497414872293 +0.00497414872900 # F_rate[103]: -0.0268228271386 +0.0268228271533 # F_rate[104]: -0.0242878848347 +0.0242878848154 # F_rate[105]: -0.0325368093033 +0.0325368093132 # F_rate[106]: -0.0369959118875 +0.0369959120087 # F_rate[107]: -0.0391729370066 +0.0391729370106 # F_rate[108]: -0.0420968019202 +0.0420968017328 # F_rate[109]: -0.0429874172140 +0.0429874170594 # F_rate[110]: -0.0379924107255 +0.0379924107986 # F_rate[111]: -0.0525910166557 +0.0525910165262 # F_rate[112]: -0.0551026913354 +0.0551026912850 # F_rate[113]: -0.0604510954682 +0.0604510953545 # F_rate[114]: -0.0412180194984 +0.0412180193693 # F_rate[115]: -0.0442977572992 +0.0442977571175 # F_rate[116]: -0.0797197879286 +0.0797197878743 # F_rate[117]: -0.0732011816615 +0.0732011814925 # F_rate[118]: -0.0981861293486 +0.0981861297949 # F_rate[119]: -0.0727526143500 +0.0727526143456 # F_rate[120]: -0.0900966444746 +0.0900966447027 # F_rate[121]: -0.101084002073 +0.101084001850 # F_rate[122]: -0.123284236250 +0.123284236308 # F_rate[123]: -0.114968317652 +0.114968317414 # F_rate[124]: -0.105299007053 +0.105299007089 # F_rate[125]: -0.0702681907461 +0.0702681907774 # F_rate[126]: -0.125993041531 +0.125993040875 # F_rate[127]: -0.0855903217099 +0.0855903215902 # F_rate[128]: -0.0795671653628 +0.0795671652096 # F_rate[129]: -0.0614049749055 +0.0614049748441 # F_rate[130]: -0.0572299844864 +0.0572299843786 # F_rate[131]: -0.0725609846561 +0.0725609844505 # F_rate[132]: -0.0445692270294 +0.0445692268658 # F_rate[133]: -0.0585830842930 +0.0585830842696 # F_rate[134]: -0.0571557314004 +0.0571557312192 # F_rate[135]: -0.0558789465174 +0.0558789464915 # F_rate[136]: -0.0433952934551 +0.0433952934366 # F_rate[137]: -0.000146869345538 +0.000146869345701 # F_rate[138]: -0.000398634028475 +0.000398634028544 # F_rate[139]: -0.000660953855995 +0.000660953855152 # F_rate[140]: -0.000934379628116 +0.000934379631592 # F_rate[141]: -0.00121774040417 +0.00121774040307 # F_rate[142]: -0.00151264923024 +0.00151264924090 # F_rate[143]: -0.00181962960602 +0.00181962959989 # F_rate[144]: -0.00214228212157 +0.00214228212163 # F_rate[145]: -0.00248758237702 +0.00248758238284 # F_rate[146]: -0.00286046627764 +0.00286046624961 # F_rate[147]: -0.00325806717715 +0.00325806719912 # F_rate[148]: -0.00365677012935 +0.00365677015114 # F_rate[149]: -0.00401397302635 +0.00401397304662 # F_rate[150]: -0.00433061797882 +0.00433061799212 # F_rate[151]: -0.00465633557453 +0.00465633558908 # F_rate[152]: -0.00500651166207 +0.00500651165013 # F_rate[153]: -0.00538200151616 +0.00538200153446 # F_rate[154]: -0.00577465935073 +0.00577465937051 # F_rate[155]: -0.00618858451348 +0.00618858454363 # F_rate[156]: -0.00662742558887 +0.00662742563008 # F_rate[157]: -0.00709656867173 +0.00709656861149 # F_rate[158]: -0.00756465298837 +0.00756465300849 # F_rate[159]: -0.00798697182498 +0.00798697185938 # F_rate[160]: -0.00838221262073 +0.00838221259935 # F_rate[161]: -0.00877352480709 +0.00877352482783 # F_rate[162]: -0.00918035094283 +0.00918035099326 # F_rate[163]: -0.00959677723190 +0.00959677725806 # F_rate[164]: -0.0100504160740 +0.0100504161019 # F_rate[165]: -0.0105720334709 +0.0105720335276 # F_rate[166]: -0.0111451479043 +0.0111451479283 # F_rate[167]: -0.0117416910092 +0.0117416910272 # F_rate[168]: -0.0123382724587 +0.0123382724546 # F_rate[169]: -0.0276481755262 +0.0276481754381 # F_rate[170]: -0.0106643685725 +0.0106643685568 # F_rate[171]: -0.0165882248073 +0.0165882247545 # F_rate[172]: -0.0325787378866 +0.0325787376529 # F_rate[173]: -0.0468192086109 +0.0468192082157 # F_rate[174]: -0.0604065609256 +0.0604065602896 # F_rate[175]: -0.0919002331024 +0.0919002316682 # F_rate[176]: -0.0509585125871 +0.0509585121692 # F_rate[177]: -0.0698209841704 +0.0698209838113 # F_rate[178]: -0.0913920966168 +0.0913920959949 # F_rate[179]: -0.116274971703 +0.116274971403 # F_rate[180]: -0.0903120263625 +0.0903120261087 # F_rate[181]: -0.0796309380732 +0.0796309379932 # F_rate[182]: -0.117546139135 +0.117546139371 # F_rate[183]: -0.0504766911436 +0.0504766912181 # F_rate[184]: -0.0910966048612 +0.0910966051076 # F_rate[185]: -0.0486660531119 +0.0486660532136 # F_rate[186]: -0.0978382491405 +0.0978382492328 # F_rate[187]: -0.0578224529853 +0.0578224529141 # F_rate[188]: -0.149132165730 +0.149132165775 # F_rate[189]: -0.118609160070 +0.118609160055 # F_rate[190]: -0.108909689704 +0.108909689556 # F_rate[191]: -0.109214408030 +0.109214408001 # F_rate[192]: -0.134380775054 +0.134380774847 # F_rate[193]: -0.125936334570 +0.125936334305 # F_rate[194]: -0.122280924159 +0.122280923713 # F_rate[195]: -0.0582519714997 +0.0582519713564 # F_rate[196]: -0.0832545591557 +0.0832545591030 # F_rate[197]: -0.0611133064285 +0.0611133062741 # F_rate[198]: -0.147031408584 +0.147031408153 # F_rate[199]: -0.114565126749 +0.114565126476 # F_rate[200]: -0.198348770355 +0.198348769679 # F_rate[201]: -0.175679592901 +0.175679592470 # F_rate[202]: -0.136378024359 +0.136378023713 # F_rate[203]: -0.123185620499 +0.123185620451 # F_rate[204]: -0.140689300938 +0.140689299979 # F_rate[205]: -0.0498024710316 +0.0498024709012 # F_rate[206]: -0.0679096682137 +0.0679096679999 # F_rate[207]: -0.0802092210234 +0.0802092202621 # F_rate[208]: -0.0843452097073 +0.0843452095719 # F_rate[209]: -0.109352387012 +0.109352386899 # F_rate[210]: -0.113995331391 +0.113995330647 # F_rate[211]: -0.145763215698 +0.145763216284 # F_rate[212]: -0.166918937916 +0.166918937656 # F_rate[213]: -0.204478864343 +0.204478864805 # F_rate[214]: -0.220489904915 +0.220489904832 # F_rate[215]: -0.220479396163 +0.220479397244 # F_rate[216]: -0.166982213030 +0.166982212437 # F_rate[217]: -0.160827824339 +0.160827824554 # F_rate[218]: -0.183444931189 +0.183444930965 # F_rate[219]: -0.193873722863 +0.193873718668 # F_rate[220]: -0.215364392135 +0.215364392686 # F_rate[221]: -0.212074915398 +0.212074914897 # F_rate[222]: -0.231295085104 +0.231295084303 # F_rate[223]: -0.235265632711 +0.235265632595 # F_rate[224]: -0.267890784030 +0.267890784951 # F_rate[225]: -0.252672662821 +0.252672664805 # F_rate[226]: -0.241416061384 +0.241416062455 # F_rate[227]: -0.236463462566 +0.236463461010 # F_rate[228]: -0.240708251137 +0.240708252914 # F_rate[229]: -0.240162763552 +0.240162764311 # F_rate[230]: -0.242292707309 +0.242292706681 # F_rate[231]: -0.252188194185 +0.252188195474 # F_rate[232]: -0.277413192486 +0.277413193615 # F_rate[233]: -0.294155834588 +0.294155834547 # F_rate[234]: -0.308793635575 +0.308793634646 # F_rate[235]: -0.316240710274 +0.316240708236 # F_rate[236]: -0.287171305999 +0.287171306164 # F_rate[237]: -0.273556687322 +0.273556684972 # F_rate[238]: -0.276559159815 +0.276559156445 # F_rate[239]: -0.313498513859 +0.313498509343 # F_rate[240]: -0.303118275618 +0.303118271495 # F_rate[241]: -0.330869216554 +0.330869213279 # F_rate[242]: -0.274674283071 +0.274674282217 # F_rate[243]: -0.251512399416 +0.251512398300 # F_rate[244]: -0.276153521742 +0.276153519806 # F_rate[245]: -0.242705768975 +0.242705767871 # F_rate[246]: -0.253442671360 +0.253442669880 # F_rate[247]: -0.319616988449 +0.319616988310 # F_rate[248]: -0.362349448683 +0.362349449045 # F_rate[249]: -0.554456223927 +0.554456224448 # F_rate[250]: -0.427143363972 +0.427143359957 # F_rate[251]: -0.402655588886 +0.402655590026 # F_rate[252]: -0.414598637239 +0.414598636168 # F_rate[253]: -0.503301882338 +0.503301883097 # F_rate[254]: -0.328666762965 +0.328666764523 # F_rate[255]: -0.263139496799 +0.263139498211 # F_rate[256]: -0.291187708411 +0.291187708031 # F_rate[257]: -0.360471935887 +0.360471936056 # F_rate[258]: -0.308644883627 +0.308644882572 # F_rate[259]: -0.284530009959 +0.284530009840 # F_rate[260]: -0.237245618428 +0.237245618546 # F_rate[261]: -0.154608974679 +0.154608974437 # F_rate[262]: -0.107010377580 +0.107010378084 # F_rate[263]: -0.0763106220477 +0.0763106221417 # F_rate[264]: -0.122599444684 +0.122599444235 # F_rate[265]: -0.0915460017384 +0.0915460016314 # F_rate[266]: -0.109579538852 +0.109579537540 # F_rate[267]: -0.0976432962047 +0.0976432967807 # F_rate[268]: -0.108938536583 +0.108938536830 # F_rate[269]: -0.0869570600989 +0.0869570605964 # F_rate[270]: -0.0714354856647 +0.0714354857460 # F_rate[271]: -0.0734889850214 +0.0734889841670 # F_rate[272]: -0.0796822440083 +0.0796822441499 # Q_parm[1]: --8.91223607756 +-8.91223607823 # Q_parm[2]: --8.55918429674 +-8.55918429730 # Q_parm[3]: --9.50310185961 +-9.50310186056 # Q_parm[4]: -1.38481155995 +1.38481156166 # Q_parm[5]: --9.88309401952 +-9.88309402046 # Q_parm[6]: --9.80357021262 +-9.80357021352 # Q_parm[7]: --26.2165229283 +-26.2165229294 # Q_parm[8]: --10.4735752220 +-10.4735752233 # Q_parm[9]: --10.5629444115 +-10.5629444119 # selparm[1]: 10.1600000000 # selparm[2]: @@ -654,47 +654,47 @@ # selparm[25]: 19.2273000000 # selparm[26]: --1.57475302026 +-1.57475301324 # selparm[27]: -1.10006241669 +1.10006241836 # selparm[28]: 1.30636000000 # selparm[29]: -1.47843000000 # selparm[30]: -0.597499264032 +0.597499265212 # selparm[31]: 14.7632000000 # selparm[32]: --4.08901086800 +-4.08901087487 # selparm[33]: -1.26272752875 +1.26272752909 # selparm[34]: 3.14557000000 # selparm[35]: -1.21335000000 # selparm[36]: --5.30605271907 +-5.30605267674 # selparm[37]: -2.11995419932 +2.11995420008 # selparm[38]: -0.916153964243 +0.916153957396 # selparm[39]: -3.68074677847 +3.68074677899 # selparm[40]: -2.09660904595 +2.09660904384 # selparm[41]: -3.33275797613 +3.33275798221 # selparm[42]: --9.16507705626 +-9.16507579668 # selparm[43]: -0.549862253059 +0.549862260768 # selparm[44]: -2.95272583993 +2.95272582626 # selparm[45]: --12.1034749016 +-12.1034746283 # selparm[46]: --1.82948428929 +-1.82948425415 # selparm[47]: 0.500000000000 # selparm[48]: diff --git a/models/vermillion_snapper/ss_summary.sso b/models/vermillion_snapper/ss_summary.sso index d9cbaff..db8a991 100644 --- a/models/vermillion_snapper/ss_summary.sso +++ b/models/vermillion_snapper/ss_summary.sso @@ -1,8 +1,8 @@ #V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 vermilion.dat #_DataFile vermilion.ctl #_Control -Run_Date: Tue Oct 31 17:16:19 2023 -Final_phase: 5 N_iterations: 2451 +Run_Date: Wed Nov 1 11:31:56 2023 +Final_phase: 5 N_iterations: 2422 #_LIKELIHOOD Label logL*Lambda TOTAL_LogL 359.687 @@ -13,7 +13,7 @@ Length_comp 88.4498 Age_comp 260.69 Recruitment -12.9067 InitEQ_regime 0 -Sum_recdevs -4.16334e-16 +Sum_recdevs 5.82867e-16 Forecast_Recruitment 0 Parm_priors 0 Parm_softbounds 0.00753787 @@ -346,7 +346,7 @@ F_fleet_4_YR_2011_s_1 0.10958 0.0247627 Act 0.0365265 F_fleet_4_YR_2012_s_1 0.0976433 0.0219065 Act 0.0325478 F_fleet_4_YR_2013_s_1 0.108939 0.0240565 Act 0.0363128 F_fleet_4_YR_2014_s_1 0.0869571 0.0189781 Act 0.0289857 -F_fleet_4_YR_2015_s_1 0.0714355 0.0153125 Act 0.0238118 +F_fleet_4_YR_2015_s_1 0.0714355 0.0153126 Act 0.0238118 F_fleet_4_YR_2016_s_1 0.073489 0.015614 Act 0.0244963 F_fleet_4_YR_2017_s_1 0.0796822 0.0172539 Act 0.0265607 #_Catchability @@ -401,7 +401,7 @@ Age_95%width_CM_E(1) 0.916154 0.128482 Act 0.0308262 Age_inflection_CM_W(2) 3.68075 0.134813 Act 0.235611 Age_95%width_CM_W(2) 2.09661 0.185826 Act 0.118267 Age_DblN_peak_REC(3) 3.33276 0.184741 Act 0.259195 -Age_DblN_top_logit_REC(3) -9.16508 19.7739 Act 0.0642248 +Age_DblN_top_logit_REC(3) -9.16508 19.7739 Act 0.0642249 Age_DblN_ascend_se_REC(3) 0.549862 0.24526 Act 0.363881 Age_DblN_descend_se_REC(3) 2.95273 0.336669 Act 0.695273 Age_DblN_start_logit_REC(3) -12.1035 49.4222 Act 0.144826 @@ -992,7 +992,7 @@ TotBio_1968 26639.4 0.0 TotBio_1969 26269 0.0 TotBio_1970 25836.8 0.0 TotBio_1971 25463.9 0.0 -TotBio_1972 25153.6 0.0 +TotBio_1972 25153.5 0.0 TotBio_1973 24904.8 0.0 TotBio_1974 24655.9 0.0 TotBio_1975 24439.2 0.0 diff --git a/models/vermillion_snapper/vermilion.dat b/models/vermillion_snapper/vermilion.dat index 4c51d57..d1ead7f 100644 --- a/models/vermillion_snapper/vermilion.dat +++ b/models/vermillion_snapper/vermilion.dat @@ -769,15 +769,15 @@ 12 #_N_LengthBins; then enter lower edge of each length bin 1 5 10 15 20 25 30 35 40 45 50 55 #_yr month fleet sex part Nsamp datavector(female-male) - 2009 7 9 0 2 35.7109 0.108025 0.0648148 0.138889 0.407407 0.259259 0.0216049 0 0 0 0 0 0 - 2010 7 9 0 2 100 0.0259259 0.0259259 0.203704 0.403704 0.318519 0.0222222 0 0 0 0 0 0 - 2011 7 9 0 2 17.0472 0 0 0.169271 0.356771 0.369792 0.101562 0.00260417 0 0 0 0 0 - 2012 7 9 0 2 11.0836 0.0212766 0.17234 0.259574 0.217021 0.225532 0.1 0.00425532 0 0 0 0 0 - 2013 7 9 0 2 37.52 0.0165563 0.013245 0.311258 0.417219 0.195364 0.0430464 0 0.00331126 0 0 0 0 - 2014 7 9 0 2 69.5069 0.00615385 0.0338461 0.172308 0.406154 0.36 0.0215385 0 0 0 0 0 0 - 2015 7 9 0 2 37.9152 0.0505618 0.00280899 0.22191 0.491573 0.207865 0.0252809 0 0 0 0 0 0 - 2016 7 9 0 2 38.587 0 0.00522193 0.281984 0.503916 0.201044 0.0078329 0 0 0 0 0 0 - 2017 7 9 0 2 100 0 0.00328947 0.217105 0.411184 0.332237 0.0361842 0 0 0 0 0 0 + 2009 7 9 0 0 35.7109 0.108025 0.0648148 0.138889 0.407407 0.259259 0.0216049 0 0 0 0 0 0 + 2010 7 9 0 0 100 0.0259259 0.0259259 0.203704 0.403704 0.318519 0.0222222 0 0 0 0 0 0 + 2011 7 9 0 0 17.0472 0 0 0.169271 0.356771 0.369792 0.101562 0.00260417 0 0 0 0 0 + 2012 7 9 0 0 11.0836 0.0212766 0.17234 0.259574 0.217021 0.225532 0.1 0.00425532 0 0 0 0 0 + 2013 7 9 0 0 37.52 0.0165563 0.013245 0.311258 0.417219 0.195364 0.0430464 0 0.00331126 0 0 0 0 + 2014 7 9 0 0 69.5069 0.00615385 0.0338461 0.172308 0.406154 0.36 0.0215385 0 0 0 0 0 0 + 2015 7 9 0 0 37.9152 0.0505618 0.00280899 0.22191 0.491573 0.207865 0.0252809 0 0 0 0 0 0 + 2016 7 9 0 0 38.587 0 0.00522193 0.281984 0.503916 0.201044 0.0078329 0 0 0 0 0 0 + 2017 7 9 0 0 100 0 0.00328947 0.217105 0.411184 0.332237 0.0361842 0 0 0 0 0 0 2002 7 8 0 0 17.2042 0 0 0.012 0.355 0.346 0.225 0.056 0.006 0.002 0 0 0 2004 7 8 0 0 6.56797 0 0 0 0.053 0.419 0.421 0.09 0.011 0.003 0.001 0.003 0 2005 7 8 0 0 38.2135 0 0 0.02 0.18 0.319 0.319 0.087 0.03 0.03 0.012 0.004 0 diff --git a/models/vermillion_snapper/warning.sso b/models/vermillion_snapper/warning.sso index b98b93b..efb8503 100644 --- a/models/vermillion_snapper/warning.sso +++ b/models/vermillion_snapper/warning.sso @@ -1,12 +1,10 @@ -Warning 1 Adjustment: Option 3 for mean forecast recruitment is deprecated. Changing to option 4. User can do recrdist with new fcast year controls -Warning 2 : At least one block pattern ends in endyr. Check the output parameter value time series to see if the values in forecast years are as intended. -Warning 3 : bias adjustment ramp extends into forecast; biasadj set to 0.0 internally for forecast years +Warning 1 : At least one block pattern ends in endyr. Check the output parameter value time series to see if the values in forecast years are as intended. +Warning 2 : bias adjustment ramp extends into forecast; biasadj set to 0.0 internally for forecast years Note 1 Information: Forecast devs will be applied to mean base recruitment over range of historical years in forecast.ss -Warning 4 : fleet: 9 lencomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 9 -Warning 5 Adjustment: setting positive forecast relF for bycatch fleet: 4 +Warning 3 Adjustment: setting positive forecast relF for bycatch fleet: 4 +Warning 4 Adjustment: setting positive forecast relF for bycatch fleet: 4 +Warning 5 : Final gradient: 0.000241591 is larger than final_conv: 0.0001 Warning 6 Adjustment: setting positive forecast relF for bycatch fleet: 4 -Warning 7 : Final gradient: 0.000210452 is larger than final_conv: 0.0001 -Warning 8 Adjustment: setting positive forecast relF for bycatch fleet: 4 Note 2 Information: A revised protocol for the Fcast_yr specification is available and recommended. -Warning 9 Adjustment: setting positive forecast relF for bycatch fleet: 4 - 9 warnings and 2 notes +Warning 7 Adjustment: setting positive forecast relF for bycatch fleet: 4 + 7 warnings and 2 notes diff --git a/models/vermillion_snapper_F4/ss.par b/models/vermillion_snapper_F4/ss.par index 39d0529..9db3dc2 100644 --- a/models/vermillion_snapper_F4/ss.par +++ b/models/vermillion_snapper_F4/ss.par @@ -1,4 +1,4 @@ -# Number of parameters = 325 Objective function value = 359.687327137237 Maximum gradient component = 0.000287315157651609 +# Number of parameters = 325 Objective function value = 359.687327137237 Maximum gradient component = 0.000127394304888196 # dummy_parm: 1.00000000000 # MGparm[1]: @@ -28,9 +28,9 @@ # MGparm[13]: 0.500000000000 # SR_parm[1]: -10.2108820370 +10.2108820324 # SR_parm[2]: -0.729779302267 +0.729779305681 # SR_parm[3]: 0.300000000000 # SR_parm[4]: @@ -38,571 +38,571 @@ # SR_parm[5]: 0.00000000000 # recdev1: - -0.499170872011 -0.252459817222 -0.243284009027 -0.173488415121 -0.274908474054 0.272083571619 0.182309572402 0.154794801937 0.113740760370 0.108373442763 -0.159756060461 -0.0260478072566 0.198589211969 -0.241049945414 -0.319784699400 -0.487077652648 -0.184548382620 0.139295956397 0.247648120996 0.108629444879 0.260079384121 0.837105681268 0.393242285343 -0.154316098829 + -0.499170870741 -0.252459817555 -0.243284008923 -0.173488413437 -0.274908474048 0.272083570398 0.182309571483 0.154794802173 0.113740760904 0.108373442877 -0.159756062260 -0.0260478078490 0.198589211038 -0.241049945732 -0.319784699521 -0.487077652813 -0.184548382653 0.139295955750 0.247648120042 0.108629444751 0.260079384045 0.837105681153 0.393242288372 -0.154316097454 # Fcast_recruitments: 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 0.00000000000 # F_rate[1]: -3.37475436250e-05 +3.37475438439e-05 # F_rate[2]: -6.74467538510e-05 +6.74467540863e-05 # F_rate[3]: -0.000102276363803 +0.000102276364265 # F_rate[4]: -0.000137744934984 +0.000137744935720 # F_rate[5]: -0.000174587940727 +0.000174587941516 # F_rate[6]: -0.000212664650323 +0.000212664651279 # F_rate[7]: -0.000251782590978 +0.000251782592126 # F_rate[8]: -0.000292950935263 +0.000292950936591 # F_rate[9]: -0.000336355490904 +0.000336355492416 # F_rate[10]: -0.000382098829943 +0.000382098831632 # F_rate[11]: -0.000431082870095 +0.000431082872013 # F_rate[12]: -0.000481527990419 +0.000481527992581 # F_rate[13]: -0.000531716734251 +0.000531716736663 # F_rate[14]: -0.000579522954988 +0.000579522957685 # F_rate[15]: -0.000641223930485 +0.000641223933582 # F_rate[16]: -0.000644776172688 +0.000644776175795 # F_rate[17]: -0.000340631585406 +0.000340631586960 # F_rate[18]: -0.000699134356862 +0.000699134359745 # F_rate[19]: -0.00140952411418 +0.00140952411954 # F_rate[20]: -0.00182360359645 +0.00182360360335 # F_rate[21]: -0.00173029595035 +0.00173029595673 # F_rate[22]: -0.00192143794992 +0.00192143795681 # F_rate[23]: -0.00172019184866 +0.00172019185472 # F_rate[24]: -0.00293506853923 +0.00293506854944 # F_rate[25]: -0.00281599366098 +0.00281599367052 # F_rate[26]: -0.00619971041972 +0.00619971044097 # F_rate[27]: -0.00551135544425 +0.00551135546303 # F_rate[28]: -0.00756800757165 +0.00756800759938 # F_rate[29]: -0.00660966340345 +0.00660966342894 # F_rate[30]: -0.00512448699368 +0.00512448701365 # F_rate[31]: -0.00380840552676 +0.00380840554107 # F_rate[32]: -0.00561256012465 +0.00561256014473 # F_rate[33]: -0.00591157953335 +0.00591157955443 # F_rate[34]: -0.00947612451660 +0.00947612454883 # F_rate[35]: -0.0136312912950 +0.0136312913382 # F_rate[36]: -0.0178835100396 +0.0178835100929 # F_rate[37]: -0.0192575513109 +0.0192575513695 # F_rate[38]: -0.0157872398392 +0.0157872398925 # F_rate[39]: -0.0153961277537 +0.0153961278083 # F_rate[40]: -0.0156593076661 +0.0156593077197 # F_rate[41]: -0.0394760724663 +0.0394760725912 # F_rate[42]: -0.0335011987521 +0.0335011988618 # F_rate[43]: -0.0451572298978 +0.0451572300513 # F_rate[44]: -0.0667085732216 +0.0667085734507 # F_rate[45]: -0.0688994146427 +0.0688994148698 # F_rate[46]: -0.0722380882884 +0.0722380885114 # F_rate[47]: -0.0613844110052 +0.0613844111863 # F_rate[48]: -0.0609124331776 +0.0609124333536 # F_rate[49]: -0.0510698935555 +0.0510698937085 # F_rate[50]: -0.0625273105086 +0.0625273106704 # F_rate[51]: -0.0496801824497 +0.0496801825772 # F_rate[52]: -0.0557823077462 +0.0557823078904 # F_rate[53]: -0.0648572692577 +0.0648572694038 # F_rate[54]: -0.0728401116064 +0.0728401117545 # F_rate[55]: -0.0576947630867 +0.0576947631942 # F_rate[56]: -0.0852313440766 +0.0852313442526 # F_rate[57]: -0.0910478491586 +0.0910478493466 # F_rate[58]: -0.0919464033306 +0.0919464035059 # F_rate[59]: -0.102780810094 +0.102780810287 # F_rate[60]: -0.152236901425 +0.152236901722 # F_rate[61]: -0.0732149192052 +0.0732149193610 # F_rate[62]: -0.141999574828 +0.141999575124 # F_rate[63]: -0.102494742308 +0.102494742553 # F_rate[64]: -0.0588204715355 +0.0588204716556 # F_rate[65]: -0.0657596612775 +0.0657596614166 # F_rate[66]: -0.0352963664146 +0.0352963664943 # F_rate[67]: -0.0381923872766 +0.0381923873581 # F_rate[68]: -0.0381869631929 +0.0381869632652 # F_rate[69]: -2.99222539636e-05 +2.99222541130e-05 # F_rate[70]: -5.99393049721e-05 +5.99393052781e-05 # F_rate[71]: -9.03008800658e-05 +9.03008803642e-05 # F_rate[72]: -0.000121407278161 +0.000121407278651 # F_rate[73]: -0.000153529004498 +0.000153529005269 # F_rate[74]: -0.000186752297239 +0.000186752298195 # F_rate[75]: -0.000221127522327 +0.000221127523439 # F_rate[76]: -0.000256858484177 +0.000256858485451 # F_rate[77]: -0.000294200940425 +0.000294200941893 # F_rate[78]: -0.000333597660993 +0.000333597662643 # F_rate[79]: -0.000375430850526 +0.000375430852365 # F_rate[80]: -0.000419736523646 +0.000419736525709 # F_rate[81]: -0.000465633810719 +0.000465633813015 # F_rate[82]: -0.000511235763977 +0.000511235766505 # F_rate[83]: -0.000542102979153 +0.000542102981947 # F_rate[84]: -0.000484045306060 +0.000484045308609 # F_rate[85]: -0.000157081899844 +0.000157081900656 # F_rate[86]: -0.000376456981923 +0.000376456983775 # F_rate[87]: -0.00121813817259 +0.00121813817811 # F_rate[88]: -0.000666328022807 +0.000666328025584 # F_rate[89]: -0.00111019980902 +0.00111019981355 # F_rate[90]: -0.00122231154479 +0.00122231154978 # F_rate[91]: -0.00120266088399 +0.00120266088884 # F_rate[92]: -0.00144267414378 +0.00144267414946 # F_rate[93]: -0.00177821443900 +0.00177821444610 # F_rate[94]: -0.00294880773246 +0.00294880774432 # F_rate[95]: -0.00165319593985 +0.00165319594660 # F_rate[96]: -0.00540741241769 +0.00540741243970 # F_rate[97]: -0.00459511189376 +0.00459511191351 # F_rate[98]: -0.00630137642565 +0.00630137645318 # F_rate[99]: -0.00430919326345 +0.00430919328272 # F_rate[100]: -0.00341012092523 +0.00341012094037 # F_rate[101]: -0.00440949312745 +0.00440949314603 # F_rate[102]: -0.00497414870867 +0.00497414872948 # F_rate[103]: -0.0268228270788 +0.0268228271874 # F_rate[104]: -0.0242878847203 +0.0242878848155 # F_rate[105]: -0.0325368091395 +0.0325368092658 # F_rate[106]: -0.0369959117815 +0.0369959119278 # F_rate[107]: -0.0391729368705 +0.0391729370325 # F_rate[108]: -0.0420968016713 +0.0420968018523 # F_rate[109]: -0.0429874169849 +0.0429874171661 # F_rate[110]: -0.0379924105196 +0.0379924106846 # F_rate[111]: -0.0525910163786 +0.0525910166209 # F_rate[112]: -0.0551026910812 +0.0551026913327 # F_rate[113]: -0.0604510950434 +0.0604510953256 # F_rate[114]: -0.0412180192060 +0.0412180193942 # F_rate[115]: -0.0442977569070 +0.0442977571006 # F_rate[116]: -0.0797197875764 +0.0797197878981 # F_rate[117]: -0.0732011813641 +0.0732011816534 # F_rate[118]: -0.0981861292280 +0.0981861295950 # F_rate[119]: -0.0727526141384 +0.0727526144189 # F_rate[120]: -0.0900966441847 +0.0900966445268 # F_rate[121]: -0.101084001518 +0.101084001904 # F_rate[122]: -0.123284235713 +0.123284236188 # F_rate[123]: -0.114968317183 +0.114968317592 # F_rate[124]: -0.105299006545 +0.105299006891 # F_rate[125]: -0.0702681904597 +0.0702681906862 # F_rate[126]: -0.125993040900 +0.125993041294 # F_rate[127]: -0.0855903214787 +0.0855903217248 # F_rate[128]: -0.0795671650615 +0.0795671653232 # F_rate[129]: -0.0614049746874 +0.0614049748953 # F_rate[130]: -0.0572299843102 +0.0572299845011 # F_rate[131]: -0.0725609843947 +0.0725609846400 # F_rate[132]: -0.0445692269240 +0.0445692270757 # F_rate[133]: -0.0585830842516 +0.0585830844532 # F_rate[134]: -0.0571557312054 +0.0571557314273 # F_rate[135]: -0.0558789464726 +0.0558789466561 # F_rate[136]: -0.0433952934348 +0.0433952935817 # F_rate[137]: -0.000146869345105 +0.000146869345674 # F_rate[138]: -0.000398634028079 +0.000398634029528 # F_rate[139]: -0.000660953852387 +0.000660953854807 # F_rate[140]: -0.000934379628419 +0.000934379631985 # F_rate[141]: -0.00121774039846 +0.00121774040293 # F_rate[142]: -0.00151264922863 +0.00151264923416 # F_rate[143]: -0.00181962959789 +0.00181962960436 # F_rate[144]: -0.00214228210412 +0.00214228211194 # F_rate[145]: -0.00248758238627 +0.00248758239530 # F_rate[146]: -0.00286046627112 +0.00286046628115 # F_rate[147]: -0.00325806718472 +0.00325806719564 # F_rate[148]: -0.00365677013279 +0.00365677014596 # F_rate[149]: -0.00401397302580 +0.00401397304185 # F_rate[150]: -0.00433061796288 +0.00433061798535 # F_rate[151]: -0.00465633555245 +0.00465633557767 # F_rate[152]: -0.00500651162924 +0.00500651164892 # F_rate[153]: -0.00538200151955 +0.00538200154006 # F_rate[154]: -0.00577465935529 +0.00577465936894 # F_rate[155]: -0.00618858453205 +0.00618858454367 # F_rate[156]: -0.00662742561472 +0.00662742562624 # F_rate[157]: -0.00709656860136 +0.00709656861428 # F_rate[158]: -0.00756465298632 +0.00756465299884 # F_rate[159]: -0.00798697183347 +0.00798697184854 # F_rate[160]: -0.00838221256882 +0.00838221258729 # F_rate[161]: -0.00877352479529 +0.00877352481734 # F_rate[162]: -0.00918035094265 +0.00918035096769 # F_rate[163]: -0.00959677721710 +0.00959677724459 # F_rate[164]: -0.0100504160595 +0.0100504160894 # F_rate[165]: -0.0105720334473 +0.0105720334831 # F_rate[166]: -0.0111451478887 +0.0111451479233 # F_rate[167]: -0.0117416909853 +0.0117416910212 # F_rate[168]: -0.0123382724137 +0.0123382724514 # F_rate[169]: -0.0276481754176 +0.0276481754696 # F_rate[170]: -0.0106643685336 +0.0106643685533 # F_rate[171]: -0.0165882247292 +0.0165882247588 # F_rate[172]: -0.0325787376523 +0.0325787377179 # F_rate[173]: -0.0468192082096 +0.0468192082820 # F_rate[174]: -0.0604065604249 +0.0604065604242 # F_rate[175]: -0.0919002319351 +0.0919002319942 # F_rate[176]: -0.0509585122058 +0.0509585122873 # F_rate[177]: -0.0698209837411 +0.0698209837962 # F_rate[178]: -0.0913920958807 +0.0913920960810 # F_rate[179]: -0.116274970847 +0.116274971045 # F_rate[180]: -0.0903120258471 +0.0903120260462 # F_rate[181]: -0.0796309377020 +0.0796309378395 # F_rate[182]: -0.117546138596 +0.117546139206 # F_rate[183]: -0.0504766911093 +0.0504766911668 # F_rate[184]: -0.0910966049124 +0.0910966050352 # F_rate[185]: -0.0486660530892 +0.0486660531964 # F_rate[186]: -0.0978382491869 +0.0978382493504 # F_rate[187]: -0.0578224528875 +0.0578224529638 # F_rate[188]: -0.149132165722 +0.149132165881 # F_rate[189]: -0.118609160023 +0.118609160028 # F_rate[190]: -0.108909689582 +0.108909689605 # F_rate[191]: -0.109214407980 +0.109214407932 # F_rate[192]: -0.134380774929 +0.134380774903 # F_rate[193]: -0.125936334322 +0.125936334413 # F_rate[194]: -0.122280923912 +0.122280924077 # F_rate[195]: -0.0582519714315 +0.0582519714990 # F_rate[196]: -0.0832545591017 +0.0832545592554 # F_rate[197]: -0.0611133064010 +0.0611133064928 # F_rate[198]: -0.147031408661 +0.147031408910 # F_rate[199]: -0.114565127088 +0.114565127131 # F_rate[200]: -0.198348770955 +0.198348771098 # F_rate[201]: -0.175679593374 +0.175679593604 # F_rate[202]: -0.136378024530 +0.136378024728 # F_rate[203]: -0.123185620592 +0.123185620678 # F_rate[204]: -0.140689301071 +0.140689300841 # F_rate[205]: -0.0498024711850 +0.0498024710010 # F_rate[206]: -0.0679096685699 +0.0679096684134 # F_rate[207]: -0.0802092209051 +0.0802092206174 # F_rate[208]: -0.0843452098562 +0.0843452097430 # F_rate[209]: -0.109352387075 +0.109352387026 # F_rate[210]: -0.113995330959 +0.113995331072 # F_rate[211]: -0.145763216733 +0.145763216452 # F_rate[212]: -0.166918938616 +0.166918937857 # F_rate[213]: -0.204478863617 +0.204478863842 # F_rate[214]: -0.220489905017 +0.220489904648 # F_rate[215]: -0.220479397229 +0.220479397005 # F_rate[216]: -0.166982212010 +0.166982212612 # F_rate[217]: -0.160827824010 +0.160827824208 # F_rate[218]: -0.183444929906 +0.183444930703 # F_rate[219]: -0.193873722201 +0.193873721922 # F_rate[220]: -0.215364395026 +0.215364392533 # F_rate[221]: -0.212074916942 +0.212074915810 # F_rate[222]: -0.231295085843 +0.231295084396 # F_rate[223]: -0.235265633856 +0.235265633553 # F_rate[224]: -0.267890784392 +0.267890784172 # F_rate[225]: -0.252672665905 +0.252672664217 # F_rate[226]: -0.241416062400 +0.241416062597 # F_rate[227]: -0.236463462182 +0.236463461582 # F_rate[228]: -0.240708253730 +0.240708253242 # F_rate[229]: -0.240162764707 +0.240162764443 # F_rate[230]: -0.242292706860 +0.242292707206 # F_rate[231]: -0.252188194996 +0.252188195439 # F_rate[232]: -0.277413193155 +0.277413193133 # F_rate[233]: -0.294155836169 +0.294155835048 # F_rate[234]: -0.308793635211 +0.308793634480 # F_rate[235]: -0.316240709087 +0.316240708122 # F_rate[236]: -0.287171306103 +0.287171305061 # F_rate[237]: -0.273556686402 +0.273556685287 # F_rate[238]: -0.276559158894 +0.276559157174 # F_rate[239]: -0.313498513027 +0.313498511305 # F_rate[240]: -0.303118272428 +0.303118272749 # F_rate[241]: -0.330869213199 +0.330869213272 # F_rate[242]: -0.274674282628 +0.274674281734 # F_rate[243]: -0.251512400137 +0.251512398503 # F_rate[244]: -0.276153521898 +0.276153520554 # F_rate[245]: -0.242705768613 +0.242705768056 # F_rate[246]: -0.253442670949 +0.253442670614 # F_rate[247]: -0.319616990152 +0.319616987899 # F_rate[248]: -0.362349449146 +0.362349448381 # F_rate[249]: -0.554456231008 +0.554456227117 # F_rate[250]: -0.427143363477 +0.427143363350 # F_rate[251]: -0.402655590348 +0.402655589556 # F_rate[252]: -0.414598639731 +0.414598638369 # F_rate[253]: -0.503301882242 +0.503301883698 # F_rate[254]: -0.328666764197 +0.328666764011 # F_rate[255]: -0.263139497422 +0.263139497142 # F_rate[256]: -0.291187709044 +0.291187708423 # F_rate[257]: -0.360471935406 +0.360471935484 # F_rate[258]: -0.308644883251 +0.308644883663 # F_rate[259]: -0.284530009508 +0.284530010362 # F_rate[260]: -0.237245619576 +0.237245618625 # F_rate[261]: -0.154608974577 +0.154608974462 # F_rate[262]: -0.107010378417 +0.107010378092 # F_rate[263]: -0.0763106219169 +0.0763106218639 # F_rate[264]: -0.122599444612 +0.122599444498 # F_rate[265]: -0.0915460020759 +0.0915460018260 # F_rate[266]: -0.109579538333 +0.109579538316 # F_rate[267]: -0.0976432972072 +0.0976432968388 # F_rate[268]: -0.108938537114 +0.108938536686 # F_rate[269]: -0.0869570604643 +0.0869570604540 # F_rate[270]: -0.0714354860914 +0.0714354858135 # F_rate[271]: -0.0734889845778 +0.0734889844351 # F_rate[272]: -0.0796822438240 +0.0796822440481 # Q_parm[1]: --8.91223608095 +-8.91223607833 # Q_parm[2]: --8.55918430134 +-8.55918429742 # Q_parm[3]: --9.50310186126 +-9.50310185983 # Q_parm[4]: -1.38481155818 +1.38481156053 # Q_parm[5]: --9.88309402137 +-9.88309401986 # Q_parm[6]: --9.80357021458 +-9.80357021313 # Q_parm[7]: --26.2165229310 +-26.2165229287 # Q_parm[8]: --10.4735752248 +-10.4735752216 # Q_parm[9]: --10.5629444127 +-10.5629444111 # selparm[1]: 10.1600000000 # selparm[2]: @@ -654,47 +654,47 @@ # selparm[25]: 19.2273000000 # selparm[26]: --1.57475298941 +-1.57475302196 # selparm[27]: -1.10006241868 +1.10006241682 # selparm[28]: 1.30636000000 # selparm[29]: -1.47843000000 # selparm[30]: -0.597499260367 +0.597499263255 # selparm[31]: 14.7632000000 # selparm[32]: --4.08901087001 +-4.08901087205 # selparm[33]: -1.26272752904 +1.26272752885 # selparm[34]: 3.14557000000 # selparm[35]: -1.21335000000 # selparm[36]: --5.30605270350 +-5.30605269471 # selparm[37]: -2.11995419888 +2.11995419949 # selparm[38]: -0.916153963057 +0.916153963499 # selparm[39]: -3.68074677491 +3.68074677913 # selparm[40]: -2.09660904325 +2.09660904714 # selparm[41]: -3.33275797853 +3.33275797814 # selparm[42]: --9.16507593240 +-9.16507719488 # selparm[43]: -0.549862256649 +0.549862256154 # selparm[44]: -2.95272583439 +2.95272583521 # selparm[45]: --12.1034716126 +-12.1034757526 # selparm[46]: --1.82948429387 +-1.82948427805 # selparm[47]: 0.500000000000 # selparm[48]: diff --git a/models/vermillion_snapper_F4/ss_summary.sso b/models/vermillion_snapper_F4/ss_summary.sso index 5874204..827bef8 100644 --- a/models/vermillion_snapper_F4/ss_summary.sso +++ b/models/vermillion_snapper_F4/ss_summary.sso @@ -1,8 +1,8 @@ #V3.30.22.00;_safe;_compile_date:_Oct 30 2023;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_13.1 vermilion.dat #_DataFile vermilion.ctl #_Control -Run_Date: Tue Oct 31 17:17:57 2023 -Final_phase: 5 N_iterations: 2157 +Run_Date: Wed Nov 1 11:32:12 2023 +Final_phase: 5 N_iterations: 2160 #_LIKELIHOOD Label logL*Lambda TOTAL_LogL 359.687 @@ -12,11 +12,11 @@ Discard -1.70754 Length_comp 88.4498 Age_comp 260.69 Recruitment -12.9067 -InitEQ_regime 1.18001e-30 -Sum_recdevs -9.99201e-16 +InitEQ_regime 0 +Sum_recdevs -5.82867e-16 Forecast_Recruitment 0 Parm_priors 0 -Parm_softbounds 0.00753786 +Parm_softbounds 0.00753787 Parm_devs 0 F_Ballpark 0 Crash_Pen 0 @@ -401,7 +401,7 @@ Age_95%width_CM_E(1) 0.916154 0.128482 Act 0.0308262 Age_inflection_CM_W(2) 3.68075 0.134813 Act 0.235611 Age_95%width_CM_W(2) 2.09661 0.185826 Act 0.118267 Age_DblN_peak_REC(3) 3.33276 0.184741 Act 0.259195 -Age_DblN_top_logit_REC(3) -9.16508 19.7739 Act 0.0642249 +Age_DblN_top_logit_REC(3) -9.16508 19.7739 Act 0.0642248 Age_DblN_ascend_se_REC(3) 0.549862 0.24526 Act 0.363881 Age_DblN_descend_se_REC(3) 2.95273 0.336669 Act 0.695273 Age_DblN_start_logit_REC(3) -12.1035 49.4222 Act 0.144826 @@ -992,7 +992,7 @@ TotBio_1968 26639.4 0.0 TotBio_1969 26269 0.0 TotBio_1970 25836.8 0.0 TotBio_1971 25463.9 0.0 -TotBio_1972 25153.6 0.0 +TotBio_1972 25153.5 0.0 TotBio_1973 24904.8 0.0 TotBio_1974 24655.9 0.0 TotBio_1975 24439.2 0.0 diff --git a/models/vermillion_snapper_F4/vermilion.dat b/models/vermillion_snapper_F4/vermilion.dat index 82f3a93..00b8fe1 100644 --- a/models/vermillion_snapper_F4/vermilion.dat +++ b/models/vermillion_snapper_F4/vermilion.dat @@ -769,15 +769,15 @@ 12 #_N_LengthBins; then enter lower edge of each length bin 1 5 10 15 20 25 30 35 40 45 50 55 #_yr month fleet sex part Nsamp datavector(female-male) - 2009 7 9 0 2 35.7109 0.108025 0.0648148 0.138889 0.407407 0.259259 0.0216049 0 0 0 0 0 0 - 2010 7 9 0 2 100 0.0259259 0.0259259 0.203704 0.403704 0.318519 0.0222222 0 0 0 0 0 0 - 2011 7 9 0 2 17.0472 0 0 0.169271 0.356771 0.369792 0.101562 0.00260417 0 0 0 0 0 - 2012 7 9 0 2 11.0836 0.0212766 0.17234 0.259574 0.217021 0.225532 0.1 0.00425532 0 0 0 0 0 - 2013 7 9 0 2 37.52 0.0165563 0.013245 0.311258 0.417219 0.195364 0.0430464 0 0.00331126 0 0 0 0 - 2014 7 9 0 2 69.5069 0.00615385 0.0338461 0.172308 0.406154 0.36 0.0215385 0 0 0 0 0 0 - 2015 7 9 0 2 37.9152 0.0505618 0.00280899 0.22191 0.491573 0.207865 0.0252809 0 0 0 0 0 0 - 2016 7 9 0 2 38.587 0 0.00522193 0.281984 0.503916 0.201044 0.0078329 0 0 0 0 0 0 - 2017 7 9 0 2 100 0 0.00328947 0.217105 0.411184 0.332237 0.0361842 0 0 0 0 0 0 + 2009 7 9 0 0 35.7109 0.108025 0.0648148 0.138889 0.407407 0.259259 0.0216049 0 0 0 0 0 0 + 2010 7 9 0 0 100 0.0259259 0.0259259 0.203704 0.403704 0.318519 0.0222222 0 0 0 0 0 0 + 2011 7 9 0 0 17.0472 0 0 0.169271 0.356771 0.369792 0.101562 0.00260417 0 0 0 0 0 + 2012 7 9 0 0 11.0836 0.0212766 0.17234 0.259574 0.217021 0.225532 0.1 0.00425532 0 0 0 0 0 + 2013 7 9 0 0 37.52 0.0165563 0.013245 0.311258 0.417219 0.195364 0.0430464 0 0.00331126 0 0 0 0 + 2014 7 9 0 0 69.5069 0.00615385 0.0338461 0.172308 0.406154 0.36 0.0215385 0 0 0 0 0 0 + 2015 7 9 0 0 37.9152 0.0505618 0.00280899 0.22191 0.491573 0.207865 0.0252809 0 0 0 0 0 0 + 2016 7 9 0 0 38.587 0 0.00522193 0.281984 0.503916 0.201044 0.0078329 0 0 0 0 0 0 + 2017 7 9 0 0 100 0 0.00328947 0.217105 0.411184 0.332237 0.0361842 0 0 0 0 0 0 2002 7 8 0 0 17.2042 0 0 0.012 0.355 0.346 0.225 0.056 0.006 0.002 0 0 0 2004 7 8 0 0 6.56797 0 0 0 0.053 0.419 0.421 0.09 0.011 0.003 0.001 0.003 0 2005 7 8 0 0 38.2135 0 0 0.02 0.18 0.319 0.319 0.087 0.03 0.03 0.012 0.004 0 diff --git a/models/vermillion_snapper_F4/warning.sso b/models/vermillion_snapper_F4/warning.sso index f221a32..f1b11aa 100644 --- a/models/vermillion_snapper_F4/warning.sso +++ b/models/vermillion_snapper_F4/warning.sso @@ -1,13 +1,11 @@ -Warning 1 Adjustment: Option 3 for mean forecast recruitment is deprecated. Changing to option 4. User can do recrdist with new fcast year controls -Warning 2 : At least one block pattern ends in endyr. Check the output parameter value time series to see if the values in forecast years are as intended. -Warning 3 : bias adjustment ramp extends into forecast; biasadj set to 0.0 internally for forecast years +Warning 1 : At least one block pattern ends in endyr. Check the output parameter value time series to see if the values in forecast years are as intended. +Warning 2 : bias adjustment ramp extends into forecast; biasadj set to 0.0 internally for forecast years Note 1 Information: Forecast devs will be applied to mean base recruitment over range of historical years in forecast.ss -Warning 4 : fleet: 9 lencomp has N obs with partition==2 (retained); changed to partition=0 because retention not defined; N= 9 -Warning 5 : 1st iteration warning: catch logL > 50% total logL; check configuration; suggest start with larger R0 -Warning 6 Adjustment: setting positive forecast relF for bycatch fleet: 4 +Warning 3 : 1st iteration warning: catch logL > 50% total logL; check configuration; suggest start with larger R0 +Warning 4 Adjustment: setting positive forecast relF for bycatch fleet: 4 +Warning 5 Adjustment: setting positive forecast relF for bycatch fleet: 4 +Warning 6 : Final gradient: 0.000127394 is larger than final_conv: 0.0001 Warning 7 Adjustment: setting positive forecast relF for bycatch fleet: 4 -Warning 8 : Final gradient: 0.000287315 is larger than final_conv: 0.0001 -Warning 9 Adjustment: setting positive forecast relF for bycatch fleet: 4 Note 2 Information: A revised protocol for the Fcast_yr specification is available and recommended. -Warning 10 Adjustment: setting positive forecast relF for bycatch fleet: 4 - 10 warnings and 2 notes +Warning 8 Adjustment: setting positive forecast relF for bycatch fleet: 4 + 8 warnings and 2 notes From 5f4503dfcc5d1af66ddeaf55d5d73a6f8340acb1 Mon Sep 17 00:00:00 2001 From: e-gugliotti-NOAA Date: Wed, 1 Nov 2023 15:21:56 -0400 Subject: [PATCH 3/3] update commit message in gha --- .github/workflows/update-ss3-models.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/update-ss3-models.yml b/.github/workflows/update-ss3-models.yml index 26173fe..9631f84 100644 --- a/.github/workflows/update-ss3-models.yml +++ b/.github/workflows/update-ss3-models.yml @@ -109,6 +109,6 @@ jobs: - name: Create Pull Request uses: peter-evans/create-pull-request@v3 with: - commit_message: Update model files to new ss exe + commit_message: Update model files to new ss3 release branch: update-test-models - title: 'Update model files to new ss exe' + title: 'Update test model files to new ss3 release'