""" MODE: Multivariate ================== model_applications/short_range/MODEMultivar_fcstHRRR_obsMRMS_HRRRanl.conf """ ############################################################################## # .. contents:: # :depth: 1 # :local: # :backlinks: none ############################################################################## # Scientific Objective # -------------------- # # 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 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 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. ############################################################################## # Version Added # ------------- # # METplus version 5.1 ############################################################################## # Datasets # -------- # # **Forecast:** Subset of NOAA High Resolution Rapid Refresh (HRRR) in grib2 # # **Observation:** Subset of Multi-Radar Multi-Sensor (MRMS) and HRRR analysis in grib2 # # **Climatology:** None # # **Location:** All of the input data required for this use case can be # found in a sample data tarball. Each use case category will have # one or more sample data tarballs. It is only necessary to download # the tarball with the use case’s dataset and not the entire collection # of sample data. Click here to access the METplus releases page and download sample data # for the appropriate release: https://github.com/dtcenter/METplus/releases # This tarball should be unpacked into the directory that you will # set the value of INPUT_BASE. See :ref:`running-metplus` section for more information. ############################################################################## # METplus Components # ------------------ # # 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 # ---------------- # # **Beginning time (INIT_BEG):** 2021020100 # # **End time (INIT_END):** 2021020100 # # **Increment between beginning and end times (INIT_INCREMENT):** None # # **Sequence of forecast leads to process (LEAD_SEQ):** 21 # # MODE is the only tool called and ingests multiple fields to create a complex # super object. # # This example runs a single forecast hour. # # | **Initialization:** 2021020100 # | **Forecast lead:** 21 ############################################################################## # METplus Configuration # --------------------- # # METplus first loads all of the configuration files found in parm/metplus_config, # then it loads any configuration files passed to METplus via the command line, # i.e. parm/use_cases/model_applications/short_range/MODEMultivar_fcstHRRR_obsMRMS_HRRRanl.conf # # .. highlight:: bash # .. literalinclude:: ../../../../parm/use_cases/model_applications/short_range/MODEMultivar_fcstHRRR_obsMRMS_HRRRanl.conf ############################################################################## # MET Configuration # ----------------- # # METplus sets environment variables based on user settings in the METplus configuration file. # See :ref:`How METplus controls MET config file settings` for more details. # # **YOU SHOULD NOT SET ANY OF THESE ENVIRONMENT VARIABLES YOURSELF! THEY WILL BE OVERWRITTEN BY METPLUS WHEN IT CALLS THE MET TOOLS!** # # If there is a setting in the MET configuration file that is currently not supported by METplus you'd like to control, please refer to: # :ref:`Overriding Unsupported MET config file settings` # # .. dropdown:: MODEConfig_wrapped # # .. literalinclude:: ../../../../parm/met_config/MODEConfig_wrapped ############################################################################## # Python Embedding # ---------------- # # This use case does not use Python embedding. ############################################################################## # User Scripting # -------------- # # User Scripting is not used in this use case. ############################################################################## # Running METplus # --------------- # # Pass the use case configuration file to the run_metplus.py script # along with any user-specific system configuration files if desired:: # # run_metplus.py /path/to/METplus/parm/use_cases/model_applications/short_range/MODEMultivar_fcstHRRR_obsMRMS_HRRRanl.conf /path/to/user_system.conf # # See :ref:`running-metplus` for more information. ############################################################################## # Expected Output # --------------- # # A successful run will output the following both to the screen and to the logfile:: # # 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 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 # -------- # # .. note:: # # * MODEToolUseCase # * ShortRangeAppUseCase # * GRIB2FileUseCase # * RegriddingInToolUseCase # * NOAAWPCOrgUseCase # * NCAROrgUseCase # * DiagnosticsUseCase # * MvMODEUseCase # # Navigate to the :ref:`quick-search` page to discover other similar use cases. # # # sphinx_gallery_thumbnail_path = '_static/short_range-MODEMultivar_fcstHRRR_obsMRMS_HRRRanl.png' #