""" PointStat: Compare community observed precipitation to model forecasts ====================================================================== model_applications/precipitation/PointStat_fcstURMA_obsCOCORAHS_ASCIIprecip.conf """ ############################################################################## # .. contents:: # :depth: 1 # :local: # :backlinks: none ############################################################################## # Scientific Objective # -------------------- # This use case ingests a CoCoRaHS csv file, a new dataset that utilizes community reporting of precipitation amounts. # Numerous studies have shown that a community approach to weather observations not only covers areas that lack traditional verification datasets, # but is also remarkably quality controlled. # Utilizing Python embedding, this use case taps into a new vital observation dataset and compares it to a 24 hour precipitation accumulation forecast. ############################################################################## # Version Added # ------------- # # METplus version 5.0 ############################################################################## # Datasets # -------- # # **Forecast:** 24 UnRestricted Mesoscale Analysis (URMA) 1 hour precipitation accumulation files # # **Observations:** CoCoRaHS, the Community Collaborative Rain, Hail, and Snow Network # # **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 calls a Python script in ASCII2NC for the observation dataset. # PCPCombine is called for a user-defined summation of the forecast accumulation fields. # Finally, PointStat processes the forecast and observation fields, and outputs the requested line types. ############################################################################## # METplus Workflow # ---------------- # # **Beginning time (VALID_BEG):** 2022091423 # # **End time (VALID_END):** 2022091423 # # **Increment between beginning and end times (VALID_INCREMENT):** 1M # # **Sequence of forecast leads to process (LEAD_SEQ):** 24H # # 1 csv file of multiple valid observation times is passed to ASCII2NC via Python embedding, resulting in a netCDF output. # 24 forecast files, each composed of 1 hour precipitation accumulation forecasts, is summarized via PCPCombine. # The following boundary times are used for the forecast summation times: # # | **Valid Beg:** 2022-09-14 at 00z # | **Valid End:** 2022-09-14 at 23z # # The observation data point span the same times as the 24 hour forecast accumulation summation. # Finally, PointStat is used to compare the two new fields (point data in netCDF and precipitation accumulation over 24 hours). # Because the Valid Time used in configuration file is set to one time (2022-09-14 at 23z) and the precipitation accumulation valid time is set to this same time, # the observation window spans across the entire 2022-09-14 24 hour timeframe. ############################################################################## # 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/precipitation/PointStat_fcstURMA_obsCOCORAHS_ASCIIprecip.conf # # .. highlight:: bash # .. literalinclude:: ../../../../parm/use_cases/model_applications/precipitation/PointStat_fcstURMA_obsCOCORAHS_ASCIIprecip.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:: Ascii2NcConfig_wrapped # # .. literalinclude:: ../../../../parm/met_config/Ascii2NcConfig_wrapped # # .. dropdown:: PointStatConfig_wrapped # # .. literalinclude:: ../../../../parm/met_config/PointStatConfig_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/precipitation/PointStat_fcstURMA_obsCOCORAHS_ASCIIprecip.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 the use case will be found in 3 folders(relative to **OUTPUT_BASE**). # Those folders are: # # * ASCII2NC # * PCPCombine # * PointStat # # The ASCII2NC folder will contain one file from the ASCII2NC tool call: # # * precip_20220914_summary.nc # # The PCPCombine folder will also contain one file, from the PCPCombine call: # # * fcst_24hr_precip.nc # # The final folder, PointStat, contains all of the following output from the PointStat call: # # * point_stat_000000L_20220914_230000V_cnt.txt # * point_stat_000000L_20220914_230000V_ctc.txt # * point_stat_000000L_20220914_230000V_cts.txt # * point_stat_000000L_20220914_230000V_mcts.txt # * point_stat_000000L_20220914_230000V.stat # ############################################################################## # Keywords # -------- # # .. note:: # # * PointStatToolUseCase # * ASCII2NCToolUseCase # * PCPCombineToolUseCase # * PythonEmbeddingFileUseCase # * PrecipitationAppUseCase # * NETCDFFileUseCase # # Navigate to the :ref:`quick-search` page to discover other similar use cases. # # # # sphinx_gallery_thumbnail_path = '_static/precipitation-PointStat_fcstURMA_obsCOCORAHS_ASCIIprecip.png'