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fixing dropdown menu
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CPKalb committed Nov 7, 2024
1 parent f3599e0 commit d0e4d73
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#
# **Location:** Data for this use case is not contained in the sample data tar files due to
# its size. Rather, it is stored as additional data in a separate tar file, named
# additional_data_UserScript_fcstGFS_obsERA_StratosphereQBO.tar.gz at
# https://dtcenter.ucar.edu/dfiles/code/METplus/METplus_Data/v6.0/.
# additional_data_UserScript_fcstGFS_obsERA_StratosphereQBO.tar.gz and can be
# downloaded at https://dtcenter.ucar.edu/dfiles/code/METplus/METplus_Data/v6.0/.

##############################################################################
# METplus Components
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#
# **Location:** Data for this use case is not contained in the sample data tar files
# due to its size. Rather, it is stored as additional data in a separate tar file,
# named additional_data_UserScript_fcstGFS_obsERA_StratosphereQBO.tar.gz at
# https://dtcenter.ucar.edu/dfiles/code/METplus/METplus_Data/v6.0/.
# named additional_data_UserScript_fcstGFS_obsERA_StratosphereQBO.tar.gz and can be
# downloaded at https://dtcenter.ucar.edu/dfiles/code/METplus/METplus_Data/v6.0/.

##############################################################################
# METplus Components
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# **Sequence of forecast leads to process (LEAD_SEQ):** 0, 3, 6, 9, 12, 15, 18, 21 hours
#
# This use case does not loop but UserScript and StatAnalysis are each run once using data
# from the entire time period. he UserScript call runs stratosphere_qbo_driver.py to compute
# a QBO index. The output QBO index is run through Stat-Analysis to compute the bias.
# from the entire time period. The UserScript call runs stratosphere_qbo_driver.py to compute
# a QBO index. The output QBO index is run through Stat-Analysis to compute the continuous
# statistics.
#
# There is an optional step to calculate EOFs rather than providing an input file. This
# calculation is performed inside qbo_driver.py, but requires building a list of input
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# -10 S to 10N latitude. Then, an EOF analysis is performed on this zonal and meridional
# mean data, and two phase diagrams of QBO are created using the plot_qbo_phase_circuits and
# plot_qbo_phase_space functions from stratosphere_plots.py in METplotpy. Additionally the
# zonal and meridional mean at 30 and 50mb are output as time series to matched pair (MPR)
# files using write_mpr.py in METcalcpy and are also plotted as timeseries using the
# zonal and meridional mean at 30 and 50mb are output as time series in MET's matched pair
# (MPR) format using write_mpr.py in METcalcpy. They are also plotted as timeseries using the
# plot_u_timeseries function from stratosphere_plots.py in METplotpy. Finally StatAnalysis is
# run on the 30 and 50mb U mpr files to compute the bias (ME).
#
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# the COMPUTE_EOF_ZONAL_MERIDIONAL_MEAN variable should be set to true, and an input file list
# provided by turning on the UserScipt call for [create_eof_filelist].
#
# # .. dropdown:: parm/use_cases/model_applications/s2s_stratosphere/UserScript_fcstGFS_obsERA_StratosphereQBO/stratosphere_qbo_driver.py
# .. dropdown:: parm/use_cases/model_applications/s2s_stratosphere/UserScript_fcstGFS_obsERA_StratosphereQBO/stratosphere_qbo_driver.py
#
# .. highlight:: python
# .. literalinclude:: ../../../../parm/use_cases/model_applications/s2s_stratosphere/UserScript_fcstGFS_obsERA_StratosphereQBO/stratosphere_qbo_driver.py
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