""" GridStat: Temporal and spatial verification of soil moisture ============================================================ model_applications/land/GridStat_fcstGFS_obsSMOPS_soilMoisture_Python.conf """ ############################################################################## # .. contents:: # :depth: 1 # :local: # :backlinks: none ############################################################################## # Scientific Objective # -------------------- # # Comparison between prototype forecast models and existing observational data # is critical to ensuring that model upgrades are completed with minimal # downsides or degradation in verification statistics. This use case compares # a GFS HR run to SMOPS, a combination dataset of satellite measurements concerning # soil characteristics. By completing temporal and spatial verification measurements, # this use case serves as an excellent baseline for evaluating near surface model soil moisture ############################################################################## # Version Added # ------------- # # METplus version 13.0 ############################################################################## # Datasets # -------- # **Forecast:** Global Forecast System (GFS) v17 prototype version (tag HR1) 12km resolution, 0-0.1 meter soil temperature # # **Observation:** NOAA Soil Moisture Products System (SMOPS) 0.25 degree resolution, blended soil temperature # **NOTE:** Retrieving observation data from CLASS requires user account # # **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 # ------------------ # # The two MET tools used in this use case are GridStat and SeriesAnalysis. # Both tools require Python Embedding to ingest observation data. ############################################################################## # METplus Workflow # ---------------- # # **Beginning time (INIT_BEG):** 2020-06-07 # # **End time (INIT_END):** 2020-06-07 # # **Increment between beginning and end times (INIT_INCREMENT):** 12 hours # # **Sequence of forecast leads to process (LEAD_SEQ):** 24 hours # # With an increment of 12 hours and no difference between the INIT_BEG and INIT_END, # only one time is run in this use case: a 24 hour lead from 2020-06-07. # Both GridStat and SeriesAnalysis are used over this time frame, requesting CNT line # type output. Because both tools are run using the same input data, # much of SeriesAnalysis' settings reference GridStat's settings, which is the first # tool used. The forecast and observation grid resolutions differ, so regridding is # used to interpolate the higher resolution forecast data to the lower resolution # observation data for verification, using a bilinear method. Note that for rigorous # comparisons of water budgets users may want to use conservative regridding rather # than bilinear as bilinear regridding does not conserve total water mass. A poly masking # for CONUS is used, with the mask being available from the MET installation. ############################################################################## # 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/land/GridStat_fcstGFS_obsSMOPS_soilMoisture_Python.conf # # .. highlight:: bash # .. literalinclude:: ../../../../parm/use_cases/model_applications/land/GridStat_fcstGFS_obsSMOPS_soilMoisture_Python.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 # # .. dropdown:: SeriesAnalysisConfig_wrapped # # .. literalinclude:: ../../../../parm/met_config/SeriesAnalysisConfig_wrapped ############################################################################## # Python Embedding # ---------------- # # This use case calls the read_SMOPS_data.py script to read and pass to GridStat # and SeriesAnalysis a MET-usable dataset for the observation data. In its current form, # the SMOPS data is read in by MET upside down, and is not CF-compliant. Using # a simplified Python script, the input file and variable field are passed at runtime # and the associated data is extracted. This is passed in memory to MET and # verification proceeds normally. # # .. dropdown:: parm/use_cases/model_applications/land/GridStat_fcstGFS_obsSMOPS_soilMoisture_Python/read_SMOPS_data.py # # .. highlight:: python # .. literalinclude:: ../../../../parm/use_cases/model_applications/land/GridStat_fcstGFS_obsSMOPS_soilMoisture_Python/read_SMOPS_data.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/land/GridStat_fcstGFS_obsSMOPS_soilMoisture_Python.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 will be in two subfolders relative to **OUTPUT_BASE**: # # * GridStat # * SeriesAnalysis # # Each of these directories will hold the output from their respectively named tools. # The GridStat folder will contain two files, one STAT file with the CNT line type output # and one netCDF file, which contains 3 fields (not including the lat/lon fields). Those fields # are: # # * FCST_SOILW_Z0.1-0_CONUS(lat, lon) # * OBS_Blended_SM_UNKNOWN_CONUS(lat, lon) # * DIFF_SOILW_Z0.1-0_Blended_SM_UNKNOWN_CONUS(lat, lon) # # For the SeriesAnalysis folder, only one netCDF output is created. # Six variable fields are present (not including the lat/lon and series fields). # Those variables are: # # * series_cnt_ME(lat, lon) # * series_cnt_MAE(lat, lon) # * series_cnt_RMSE(lat, lon) # * series_cnt_MBIAS(lat, lon) # * series_cnt_FBAR(lat, lon) # * series_cnt_OBAR(lat, lon) ############################################################################## # Keywords # -------- # # .. note:: # # * GridStatToolUseCase # * PythonEmbeddingFileUseCase # * LandAppUseCase # # Navigate to the :ref:`quick-search` page to discover other similar use cases. # # # sphinx_gallery_thumbnail_path = '_static/land-GridStat_fcstGFS_obsSMOPS_soilMoisture_Python.png'