.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "generated/model_applications/precipitation/GridStat_fcstHREFmean_obsStgIV_Gempak.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_generated_model_applications_precipitation_GridStat_fcstHREFmean_obsStgIV_Gempak.py: Grid-Stat: 6hr QPF in GEMPAK format =================================== model_applications/precipitation/GridStat_fcstHREFmean_obsStgIV_Gempak.conf .. GENERATED FROM PYTHON SOURCE LINES 9-13 .. contents:: :depth: 1 :local: :backlinks: none .. GENERATED FROM PYTHON SOURCE LINES 15-21 Scientific Objective -------------------- Evaluate the skill of a high resolution multi-model ensemble mean at predicting 6 hour precipitation accumulation using the NCEP Stage IV gauge corrected analysis. .. GENERATED FROM PYTHON SOURCE LINES 23-27 Version Added ------------- METplus version 3.0 .. GENERATED FROM PYTHON SOURCE LINES 29-38 Datasets -------- Relevant information about the datasets that would be beneficial include: * Forecast dataset: HREF mean forecasts in Gempak * Observation dataset: Stage IV GRIB 6 hour precipitation accumulation * Sources of data (links, contacts, etc...) .. GENERATED FROM PYTHON SOURCE LINES 40-57 External Dependencies --------------------- GempakToCF.jar GempakToCF is an external tool that utilizes the Unidata NetCDF-Java package. The jar file that can be used to run the utility is available here: https://dtcenter.org/sites/default/files/community-code/metplus/utilities/GempakToCF.jar To enable Gempak support, you must set [exe] GEMPAKTOCF_JAR in your user METplus configuration file: [exe] GEMPAKTOCF_JAR = /path/to/GempakToCF.jar See the GempakToCF use case for more information: parm/use_cases/met_tool_wrapper/GempakToCF/GempakToCF.conf More information on the package used to create the file is here: https://www.unidata.ucar.edu/software/netcdf-java .. GENERATED FROM PYTHON SOURCE LINES 59-66 METplus Components ------------------ This use case first runs PCPCombine on the forecast data to build a 6 hour precipitation accumulation from 1 hour files or a single 6 hour file. Then the observation data is regridded to the model grid using the RegridDataPlane. Finally, the observation files are compared to the forecast data using GridStat. .. GENERATED FROM PYTHON SOURCE LINES 68-84 METplus Workflow ---------------- The following tools are used for each run time: PCPCombine (observation) > RegridDataPlane (observation) > GridStat This example loops by initialization time. There is only one initalization time in this example so the following will be run: Run times: | **Init:** 2017-05-09_12Z | **Forecast lead:** 18 | .. GENERATED FROM PYTHON SOURCE LINES 86-96 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 with the -c option, i.e. -c parm/use_cases/model_applications/precipitation/GridStat_fcstHREFmean_obsStgIV_Gempak.conf .. highlight:: bash .. literalinclude:: ../../../../parm/use_cases/model_applications/precipitation/GridStat_fcstHREFmean_obsStgIV_Gempak.conf .. GENERATED FROM PYTHON SOURCE LINES 98-113 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` .. note:: See the :ref:`GridStat MET Configuration` section of the User's Guide for more information on the environment variables used in the file below: .. highlight:: bash .. literalinclude:: ../../../../parm/met_config/GridStatConfig_wrapped .. GENERATED FROM PYTHON SOURCE LINES 115-143 Running METplus --------------- This use case can be run two ways: 1) Passing in GridStat_fcstHREFmean_obsStgIV_Gempak.conf then a user-specific system configuration file:: run_metplus.py -c /path/to/METplus/parm/use_cases/model_applications/precipitation/GridStat_fcstHREFmean_obsStgIV_Gempak.conf -c /path/to/user_system.conf 2) Modifying the configurations in parm/metplus_config, then passing in GridStat_fcstHREFmean_obsStgIV_Gempak.conf:: run_metplus.py -c /path/to/METplus/parm/use_cases/model_applications/precipitation/GridStat_fcstHREFmean_obsStgIV_Gempak.conf The former method is recommended. Whether you add them to a user-specific configuration file or modify the metplus_config files, the following variables must be set correctly: * **INPUT_BASE** - Path to directory where sample data tarballs are unpacked (See Datasets section to obtain tarballs). This is not required to run METplus, but it is required to run the examples in parm/use_cases * **OUTPUT_BASE** - Path where METplus output will be written. This must be in a location where you have write permissions * **MET_INSTALL_DIR** - Path to location where MET is installed locally Example User Configuration File:: [dir] INPUT_BASE = /path/to/sample/input/data OUTPUT_BASE = /path/to/output/dir MET_INSTALL_DIR = /path/to/met-X.Y **NOTE:** All of these items must be found under the [dir] section. .. GENERATED FROM PYTHON SOURCE LINES 145-160 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 model_applications/precipitation/GridStat_fcstHREFmean_obsStgIV_Gempak/GridStat/201705091200 (relative to **OUTPUT_BASE**) and will contain the following files: * grid_stat_000000L_20170510_060000V_eclv.txt * grid_stat_000000L_20170510_060000V_grad.txt * grid_stat_000000L_20170510_060000V.stat .. GENERATED FROM PYTHON SOURCE LINES 162-184 Keywords -------- .. note:: * GridStatToolUseCase * PrecipitationAppUseCase * PCPCombineToolUseCase * RegridDataPlaneToolUseCase * GEMPAKFileUseCase * NetCDFFileUseCase * NOAAWPCOrgUseCase * NOAAHMTOrgUseCase * NOAAHWTOrgUseCase * ConvectionAllowingModelsAppUseCase Navigate to the :ref:`quick-search` page to discover other similar use cases. sphinx_gallery_thumbnail_path = '_static/precipitation-GridStat_fcstHREFmean_obsStgIV_Gempak.png' .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 0.000 seconds) .. _sphx_glr_download_generated_model_applications_precipitation_GridStat_fcstHREFmean_obsStgIV_Gempak.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: GridStat_fcstHREFmean_obsStgIV_Gempak.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: GridStat_fcstHREFmean_obsStgIV_Gempak.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_