diff --git a/docs/use_cases/model_applications/short_range/MODEMultivar_fcstHRRR_obsMRMS_HRRRanl.py b/docs/use_cases/model_applications/short_range/MODEMultivar_fcstHRRR_obsMRMS_HRRRanl.py index db6b138f37..b7f6c8bb42 100644 --- a/docs/use_cases/model_applications/short_range/MODEMultivar_fcstHRRR_obsMRMS_HRRRanl.py +++ b/docs/use_cases/model_applications/short_range/MODEMultivar_fcstHRRR_obsMRMS_HRRRanl.py @@ -12,14 +12,21 @@ # -------------------- # # This use case demonstrates how to run Multivariate MODE to identify complex -# objects from two or more fields, defined by a logical expression. This use -# case identifies blizzard-like objects defined by: 1) the presence of snow -# precipitation type, 2) 10-m winds > 20 mph, and 3) visibility < 1/2 mile. -# The use of multivariate MODE is well-suited to assess the structure and +# objects from two or more fields defined by a logical expression. This use +# case identifies blizzard-like objects defined by the intersection of : 1) the +# presence of snow precipitation type, 2) 10-m winds > 20 mph, and 3) visibility +# < 1/2 mile. The use of multivariate MODE is well-suited to assess the structure and # placement of complex high-impact events such as blizzard conditions and heavy -# snow bands. Output from this use-case consists of the MODE forecast and observation -# super objects and the MODE ASCII, NetCDF, and PostScript files. -# +# snow bands. Output from this use-case consists of the MODE ASCII, NetCDF, and +# PostScript files for the MODE forecast and observation super objects. +# +# In this case, MODE super object intensity statistics were ouput for both 10-m +# wind and visibility. Using the the MODE_MULTIVAR_INTENSITY_FLAG, the user can +# control for which variables super object intensity statistics will be output. +# If all are set to False, then no intensity information will be output and only +# statistics relative to the super-object geometry will be available. In the case +# no requested intesities, the parameters MODE_FCST/OBS_MULTIVAR_NAME and/or +# MODE_FCST/OBS_MULTIVAR_LEVEL may be used as identifiers for the super-object. ############################################################################## # Datasets @@ -43,36 +50,20 @@ # This tarball should be unpacked into the directory that you will set the # value of INPUT_BASE. See :ref:`running-metplus` for more information. - ############################################################################## # METplus Components # ------------------ # -# This use case runs MODE using multiple variables to output the super objects -# based on a user-defined logical expression. Currently, the initial multivariate -# MODE run only outputs the super objects and additional steps are required to -# produce the statistical output. GenVxMask is run on a field(s) of interest -# using the super objects to mask the field(s). Finally, MODE is run a second -# time on the super-object-masked field(s) to output attribute statistics for -# the field(s). -# -# **Note:** The second MODE run can also be run directly on the super objects if -# field-specific statistics, such as intensity, is not desired. +# This use case utilizes the METplus MODE wrapper, ingesting multiple variables +# to output complex super objects based on a user-defined logical expression. # ############################################################################## # METplus Workflow # ---------------- # -# The following tools are used for each run time: -# -# MODE(mv), GenVxMask(fcst_super), GenVxMask(obs_super), MODE(super) -# -# Where the first instance of MODE runs over multiple variables to identify -# super objects for the forecast and observation, GenVxMask masks the raw input -# field(s) using the super objects, and the second instance of MODE is run -# traditionally to compare the masked forecast and observed super objects and -# and provide statistics. +# MODE is the only tool called and ingests multiple fields to create a complex +# super object. # # This example runs a single forecast hour. # @@ -128,50 +119,17 @@ # INFO: METplus has successfully finished running. # # Refer to the value set for **OUTPUT_BASE** to find where the output data was generated. -# Output for this use case will be found in OUTPUT_BASE for the various MET tools -# and will contain the following files: -# -# **mode/2021020100/f21** -# -# Multivariate output - first instance -# -# Precipitation type = snow -# -# * 00/mode_210000L_20210201_210000V_000000A_cts.txt -# * 00/mode_210000L_20210201_210000V_000000A_obj.nc -# * 00/mode_210000L_20210201_210000V_000000A_obj.txt -# * 00/mode_210000L_20210201_210000V_000000A.ps -# -# Visibility -# -# * 01/mode_210000L_20210201_210000V_000000A_cts.txt -# * 01/mode_210000L_20210201_210000V_000000A_obj.nc -# * 01/mode_210000L_20210201_210000V_000000A_obj.txt -# * 01/mode_210000L_20210201_210000V_000000A.ps -# -# 10-m Winds -# -# * 02/mode_210000L_20210201_210000V_000000A_cts.txt -# * 02/mode_210000L_20210201_210000V_000000A_obj.nc -# * 02/mode_210000L_20210201_210000V_000000A_obj.txt -# * 02/mode_210000L_20210201_210000V_000000A.ps -# -# Super Objects -# -# * f_super.nc -# * o_super.nc -# -# MODE 10-m wind super object output - second instance -# -# * mode_HRRR_vs_ANALYSIS_WIND_super_Z10_210000L_20210201_210000V_000000A_cts.txt -# * mode_HRRR_vs_ANALYSIS_WIND_super_Z10_210000L_20210201_210000V_000000A_obj.nc -# * mode_HRRR_vs_ANALYSIS_WIND_super_Z10_210000L_20210201_210000V_000000A_obj.txt -# * mode_HRRR_vs_ANALYSIS_WIND_super_Z10_210000L_20210201_210000V_000000A.ps -# -# **gen_vx_mask/2021020100** -# -# * fcst_wind_super_2021020100_f21.nc -# * obs_wind_super_2021020121.nc +# Output for this use case will be found in OUTPUT_BASE and will contain the following +# files in the directory mode/2021020100/f21: +# +# * mode_Fcst_VIS_L0_Obs_VIS_L0_HRRR_vs_ANALYSIS_210000L_20210201_210000V_000000A_cts.txt +# * mode_Fcst_VIS_L0_Obs_VIS_L0_HRRR_vs_ANALYSIS_210000L_20210201_210000V_000000A_obj.nc +# * mode_Fcst_VIS_L0_Obs_VIS_L0_HRRR_vs_ANALYSIS_210000L_20210201_210000V_000000A_obj.txt +# * mode_Fcst_VIS_L0_Obs_VIS_L0_HRRR_vs_ANALYSIS_210000L_20210201_210000V_000000A.ps +# * mode_Fcst_WIND_Z10_Obs_WIND_Z10_HRRR_vs_ANALYSIS_210000L_20210201_210000V_000000A_cts.txt +# * mode_Fcst_WIND_Z10_Obs_WIND_Z10_HRRR_vs_ANALYSIS_210000L_20210201_210000V_000000A_obj.nc +# * mode_Fcst_WIND_Z10_Obs_WIND_Z10_HRRR_vs_ANALYSIS_210000L_20210201_210000V_000000A_obj.txt +# * mode_Fcst_WIND_Z10_Obs_WIND_Z10_HRRR_vs_ANALYSIS_210000L_20210201_210000V_000000A.ps ############################################################################## # Keywords @@ -180,7 +138,6 @@ # .. note:: # # * MODEToolUseCase -# * GenVxMaskToolUseCase # * ShortRangeAppUseCase # * GRIB2FileUseCase # * RegriddingInToolUseCase @@ -188,7 +145,6 @@ # * NCAROrgUseCase # * DiagnosticsUseCase # -# # Navigate to the :ref:`quick-search` page to discover other similar use cases. # #