""" GridStat: Read Zarr Files and Compute Statistics ================================================================= model_applications/short_range/GridStat_fcstHRRRCast_obsHRRRanal_zarr.conf """ ############################################################################## # .. contents:: # :depth: 1 # :local: # :backlinks: none ############################################################################## # Scientific Objective # -------------------- # # This use case demonstrates how to read Zarr format data from the HRRRCast # model. Four fields, 2m temperature, reflectivity, and 200mb U and V are read # into the Grid-Stat tool, and continuous, categorical, and vector statistics are # computed. The purpose of this use case is to demonstrate how to use Zarr format # data for Artificial Intelligence Weather Prediction models. ############################################################################## # Version Added # ------------- # # METplus version 13.0 ############################################################################## # Datasets # -------- # # **Forecast:** HRRRCast # # **Observation:** HRRR Analysis # # **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 Grid-Stat once. ############################################################################## # METplus Workflow # ---------------- # # **Beginning time (INIT_BEG):** 2024-05-02 00 UTC # # **End time (INIT_END):** 2024-05-02 01 UTC # # **Increment between beginning and end times (INIT_INCREMENT):** 1 hour # # **Sequence of forecast leads to process (LEAD_SEQ):** 1 - 9 using 1 hour increments, and 12 - 18 using 3 hour increments # # Starting with the 00 UTC initialization on 2024-05-02, 2 model initializations are # processed ending with the run initialized at 01 UTC on 2024-05-02. For each # initialization, 12 lead times are processed, for a total of 24 Grid-Stat runs. ############################################################################## # 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, # e.g. parm/use_cases/model_applications/short_range/GridStat_fcstHRRRCast_obsHRRRanal_zarr.conf # # .. highlight:: bash # .. literalinclude:: ../../../../parm/use_cases/model_applications/short_range/GridStat_fcstHRRRCast_obsHRRRanal_zarr.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:: GridStatConfig_wrapped # # .. literalinclude:: ../../../../parm/met_config/GridStatConfig_wrapped ############################################################################## # Python Embedding # ---------------- # # This use case calls a Python Embedding script to read Zarr format data into Grid-Stat. # The script takes 5 inputs, the directory where the Zarr files are located, model # initialization time, lead time, variable to be read in, and the level. The script # reads in the Zarr format data, selects the desired variable, and sets up the grid # attributes. # # .. dropdown:: parm/use_cases/model_applications/short_range/GridStat_fcstHRRRCast_obsHRRRanal_zarr/read_zarr_HRRRCast.py # # .. highlight:: python # .. literalinclude:: ../../../../parm/use_cases/model_applications/short_range/GridStat_fcstHRRRCast_obsHRRRanal_zarr/read_zarr_HRRRCast.py # # For more information on the basic requirements to utilize Python Embedding in METplus, # please refer to the MET User’s Guide section on `Python embedding `_. ############################################################################## # User Scripting # -------------- # # This use case does not use additional scripts. ############################################################################## # 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/GridStat_fcstHRRRCast_obsHRRRanal_zarr.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 can be found in # {OUTPUT_BASE}/model_applications/short_range/GridStat_fcstHRRRCast_obsHRRRanal_zarr/grid_stat # and will contain 2 directories, one for each model initialization:: # # * 2024050200 # * 2024050201 # # Inside each directory, there will be 12 .stat files of the format # grid_stat_HRRRCast_vs_HRRR_HHMMSSL_YYYYMMDD_HHMMSSV.stat, where HHMMSSL is the hour, # minute, and second of the lead time, YYYYMMDD is the year, month, and day of the valid # time, and HHMMSSV is the hour, minute, and second of the valid time. The 2024050200 # directory contains the following files:: # # * grid_stat_HRRRCast_vs_HRRR_010000L_20240502_010000V.stat # * grid_stat_HRRRCast_vs_HRRR_020000L_20240502_020000V.stat # * grid_stat_HRRRCast_vs_HRRR_030000L_20240502_030000V.stat # * grid_stat_HRRRCast_vs_HRRR_040000L_20240502_040000V.stat # * grid_stat_HRRRCast_vs_HRRR_050000L_20240502_050000V.stat # * grid_stat_HRRRCast_vs_HRRR_060000L_20240502_060000V.stat # * grid_stat_HRRRCast_vs_HRRR_070000L_20240502_070000V.stat # * grid_stat_HRRRCast_vs_HRRR_080000L_20240502_080000V.stat # * grid_stat_HRRRCast_vs_HRRR_090000L_20240502_090000V.stat # * grid_stat_HRRRCast_vs_HRRR_120000L_20240502_120000V.stat # * grid_stat_HRRRCast_vs_HRRR_150000L_20240502_150000V.stat # * grid_stat_HRRRCast_vs_HRRR_180000L_20240502_180000V.stat # # The 2024050201 directory contains the following files:: # # * grid_stat_HRRRCast_vs_HRRR_010000L_20240502_020000V.stat # * grid_stat_HRRRCast_vs_HRRR_020000L_20240502_030000V.stat # * grid_stat_HRRRCast_vs_HRRR_030000L_20240502_040000V.stat # * grid_stat_HRRRCast_vs_HRRR_040000L_20240502_050000V.stat # * grid_stat_HRRRCast_vs_HRRR_050000L_20240502_060000V.stat # * grid_stat_HRRRCast_vs_HRRR_060000L_20240502_070000V.stat # * grid_stat_HRRRCast_vs_HRRR_070000L_20240502_080000V.stat # * grid_stat_HRRRCast_vs_HRRR_080000L_20240502_090000V.stat # * grid_stat_HRRRCast_vs_HRRR_090000L_20240502_100000V.stat # * grid_stat_HRRRCast_vs_HRRR_120000L_20240502_130000V.stat # * grid_stat_HRRRCast_vs_HRRR_150000L_20240502_160000V.stat # * grid_stat_HRRRCast_vs_HRRR_180000L_20240502_190000V.stat ############################################################################## # Keywords # -------- # # .. note:: # # * GridStatToolUseCase # * PythonEmbeddingFileUseCase # * ZarrFileUseCase # * GRIB2FileUseCase # * ShortRangeAppUseCase # * AIUseCase # # Navigate to the :ref:`quick-search` page to discover other similar use cases. # # # sphinx_gallery_thumbnail_path = '_static/short_range-GridStat_fcstHRRRCast_obsHRRRanal_zarr.png'