""" StatAnalysis: Met Office LFRic UGRID ==================================== model_applications/unstructured_grids/StatAnalysis_fcstLFRIC_UGRID_obsASCII_PyEmbed.conf """ ############################################################################## # .. contents:: # :depth: 1 # :local: # :backlinks: none ########################################### # Scientific Objective # -------------------- # # This use case demonstrates the use of python embedding to ingest and perform # verification on an unstructured grid. This foregoes the need to interpolate # to a regular grid as a step in the verification process, thereby avoiding # any incurred interpolation error in the process. # # In particular, this use case ingests a UK MET Office LFRic forecast file in # NetCDF format, which resides in the UGRID format of the cubed-sphere. The python # library Iris was developed to perform analysis on various UGRID formats, and is # employed here to ingest the file as well as perform direct interpolation # from the native forecast grid to observation locations, thereby forming matched # pairs to pass to stat_analysis. In order to perform the interpolation using a # nearest-neighbors approach, the geovista python package is also used to form a # KD tree to be used in identifying the interpolation points to be used. This # package is located at https://github.com/bjlittle/geovista/ and can be installed # from a development version. It is also required to install the pyvista python # package. ASCII files containing observations are also ingested. # # The python embedding script itself performs the interpolation in time, and # for this use case thins the observation data in order to reduce the run time. # It is also noted that the observations for this use case were fabricated and # correlated observation-forecast pairs are not expected. ############################################################################## # Version Added # ------------- # # METplus version 5.0 ############################################################################## # Datasets # -------- # # **Forecast:** UK MET Office LFRic forecast files in UGRID NetCDF format # # **Observation:** Observations in ASCII format # # **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 StatAnalysis wrapper to search for # files that are valid for the given case and generate a command to run # the MET tool stat_analysis. ############################################################################## # METplus Workflow # ---------------- # # **Beginning time (VALID_BEG):** 2021050500 # # **End time (VALID_END):** 2021050500 # # **Increment between beginning and end times (VALID_INCREMENT):** 6H # # **Sequence of forecast leads to process (LEAD_SEQ):** 0 # # StatAnalysis is the only tool called in this example. It processes the following # run times: # # | **Valid:** 2021-05-05_00Z # | **Forecast lead:** 12 hour ############################################################################## # 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/unstructured_grids/StatAnalysis_fcstLFRIC_UGRID_obsASCII_PyEmbed.conf # # .. highlight:: bash # .. literalinclude:: ../../../../parm/use_cases/model_applications/unstructured_grids/StatAnalysis_fcstLFRIC_UGRID_obsASCII_PyEmbed.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:: STATAnalysisConfig_wrapped # # .. literalinclude:: ../../../../parm/met_config/STATAnalysisConfig_wrapped ############################################################################## # Python Embedding # ---------------- # # This use case uses a Python embedding script to read input data. # # .. dropdown:: parm/use_cases/model_applications/unstructured_grids/StatAnalysis_fcstLFRIC_UGRID_obsASCII_PyEmbed/ugrid_lfric_mpr.py # # .. highlight:: python # .. literalinclude:: ../../../../parm/use_cases/model_applications/unstructured_grids/StatAnalysis_fcstLFRIC_UGRID_obsASCII_PyEmbed/ugrid_lfric_mpr.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 # -------------- # # 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/StatAnalysis_fcstLFRIC_UGRID_obsASCII_PyEmbed.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 StatAnalysis_UGRID (relative to **OUTPUT_BASE**) # and will contain the following file: # # * dump.out ############################################################################## # Keywords # -------- # # .. note:: # # * StatAnalysisToolUseCase # * PythonEmbeddingFileUseCase # * UnstructureGridsUseCase # # Navigate to the :ref:`quick-search` page to discover other similar use cases. # # # sphinx_gallery_thumbnail_path = '_static/unstructured_grids-StatAnalysis_fcstLFRIC_UGRID_obsASCII_PyEmbed.png'