Updating typo

dtcenter · Nov 7, 2024 · 803898d · 803898d
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diff --git a/...e_cases/model_applications/s2s_stratosphere/UserScript_fcstGFS_obsERA_StratosphereBias.py b/...e_cases/model_applications/s2s_stratosphere/UserScript_fcstGFS_obsERA_StratosphereBias.py
@@ -26,8 +26,8 @@
 # period based on latitude and pressure between 100 and 1 hPa.
 #
 # In addition this use case also demonstrates how to read semi-structured grids into
-# MET.  Specifically zonal mean data is read into Series-Analysis in the second step
-# of this use case.
+# MET.  Specifically zonal mean data (on a grid of latitude and pressure) is read into 
+# Series-Analysis in the second step of this use case.
 
 ##############################################################################
 # Version Added
@@ -140,10 +140,10 @@
 # --------------
 #
 # This use case runs both zonal_mean_driver.py and bias_plot_driver.py.  The zonal mean driver takes an input netCDF 
-# file and time variable string and creates zonal and meridional means for u and T from directional_means.py in 
-# METcalcpy.  Then, it writes and output netCDF file.
+# file and the time variable.  Then it computes zonal and meridional means for u and T from directional_means.py in 
+# METcalcpy.  It writes the zonal mean data to output netCDF files.
 #
-# The bias plot driver reads the output netCDF files from Series-Analysis and creates plots of the bias over 
+# The bias plot driver reads output netCDF files from Series-Analysis and creates plots of the bias over 
 # latitude and pressure level.  Inputs to both of the python scripts can be found in the [user_env_vars]
 # section of the UserScript_fcstGFS_obsERA_StratosphereBias.conf file
 #
@@ -212,7 +212,7 @@
 # * FCST/FCST_zonal_mean_U_T_20180201_000000.nc
 # * OBS/OBS_zonal_mean_U_T_20180201_000000.nc
 #
-# There are # variable fields present in the zonal mean netCDF file (not including the
+# There are 4 variable fields present in the zonal mean netCDF file (not including the
 # latitude and pressure fields). Those variables are::
 #
 # * time

diff --git a/..._cases/model_applications/s2s_stratosphere/UserScript_fcstGFS_obsERA_StratospherePolar.py b/..._cases/model_applications/s2s_stratosphere/UserScript_fcstGFS_obsERA_StratospherePolar.py
@@ -20,7 +20,6 @@
 #
 # Many common modes of variability in the troposphere have stratospheric teloconnection 
 # pathways. Thus, the stratosphere can be a source of predictability for surface weather.
-#
 # This use case calls functions in METcalcpy to create polar cap temperature 
 # and polar vortex wind.  It then runs Stat-Analysis on the output zonal means 
 # and creates a contour plot of bias in lead time and pressure level.