.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "generated/model_applications/space_weather/GridStat_fcstGloTEC_obsGloTEC_vx7.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_space_weather_GridStat_fcstGloTEC_obsGloTEC_vx7.py: Grid-Stat: Analysis validation ============================== GridStat_fcstGloTEC_obsGloTEC_vx7.conf .. GENERATED FROM PYTHON SOURCE LINES 9-13 .. contents:: :depth: 1 :local: :backlinks: none .. GENERATED FROM PYTHON SOURCE LINES 15-34 Overview -------- This use case illustrates the use of grid_stat tool for the space weather domain. It compares Total Electron Content for a GloTEC model run initialized with COSMIC-1 radio occultation (RO) data to a GloTEC model run without such data. In this use case, the forecast is considered to be the run without COSMIC-1 RO data. The observations are considered to be the run with COSMIC-1 RO data. This use case runs grid_stat for the first two forecast times of a space weather event known as the St. Patrick's Day Storm (Mar 17, 2015). Novel aspects of this use case: * This is the first example use case to run grid_stat on a space weather model (GloTEC) * Example of how to run with NetCDF input data which do not strictly conform to the Climate Forecasts (CF) conventions * Example of using masks covering latitudinal bands of interest to the space weather community: equatorial region, mid-latitude region, and polar region * Example of masking using the values of a quality flag which vary at each time step and grid point .. GENERATED FROM PYTHON SOURCE LINES 36-40 Version Added ------------- METplus version 3.0 .. GENERATED FROM PYTHON SOURCE LINES 42-48 Scientific Objective -------------------- Compare gridded forecast data from a run of the GloTEC model that includes assimilation of COSMIC-1 radio occultation (RO) observations to gridded forecast data from a GloTEC model run that does not include COSMIC-1 RO data. .. GENERATED FROM PYTHON SOURCE LINES 50-68 Datasets -------- **Forecast:** NOAA Space Weather Prediction Center (SWPC) GloTEC Total Electron Content (TEC) model run without assimilation of any COSMIC-1 RO data **Observation:** GloTEC TEC model run that assimilates COSMIC-1 RO data **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. .. GENERATED FROM PYTHON SOURCE LINES 70-75 METplus Use Case Contact ------------------------ | **Author:** Jonathan L. Vigh (National Center for Atmospheric Research / Research Applications Laboratory / Joint Numerical Testbed) | **Last modified:** 06 February 2020 .. GENERATED FROM PYTHON SOURCE LINES 77-83 METplus Components ------------------ This use case utilizes the METplus GridStat wrapper to search for files that are valid at a given run time and generate a command to run the MET tool grid_stat if all required files are found. .. GENERATED FROM PYTHON SOURCE LINES 85-104 METplus Workflow ---------------- **Beginning time (VALID_BEG):** 201503170005 **End time (VALID_END):** 201503170015 **Increment between beginning and end times (VALID_INCREMENT):** 600 **Sequence of forecast leads to process (LEAD_SEQ):** 0 GridStat is the only tool called in this example. It processes the following run times: | **Init:** 2015-03-17 0005Z | **Forecast lead:** 0 | | **Init:** 2015-03-17 0015Z | **Forecast lead:** 0 .. GENERATED FROM PYTHON SOURCE LINES 106-115 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/space_weather/GridStat_fcstGloTEC_obsGloTEC_vx7.conf .. highlight:: bash .. literalinclude:: ../../../../parm/use_cases/model_applications/space_weather/GridStat_fcstGloTEC_obsGloTEC_vx7.conf .. GENERATED FROM PYTHON SOURCE LINES 117-131 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 .. GENERATED FROM PYTHON SOURCE LINES 133-137 Python Embedding ---------------- This use case does not use Python embedding. .. GENERATED FROM PYTHON SOURCE LINES 139-143 User Scripting -------------- User Scripting is not used in this use case. .. GENERATED FROM PYTHON SOURCE LINES 145-154 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/space_weather/GridStat_fcstGloTEC_obsGloTEC_vx7.conf /path/to/user_system.conf See :ref:`running-metplus` for more information. .. GENERATED FROM PYTHON SOURCE LINES 156-171 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 space_weather/glotec_vs_glotec/output_data/2015_03_17 (relative to **OUTPUT_BASE**) and will contain the following files: * grid_stat_GloTEC_without_cosmic-vx7_TEC_vs_GloTEC_with_cosmic_000000L_20150317_000500V_pairs.nc * grid_stat_GloTEC_without_cosmic-vx7_TEC_vs_GloTEC_with_cosmic_000000L_20150317_001500V_pairs.nc * grid_stat_GloTEC_without_cosmic-vx7_TEC_vs_GloTEC_with_cosmic_000000L_20150317_000500V.stat * grid_stat_GloTEC_without_cosmic-vx7_TEC_vs_GloTEC_with_cosmic_000000L_20150317_001500V.stat .. GENERATED FROM PYTHON SOURCE LINES 174-190 Keywords -------- .. note:: * GridStatToolUseCase * SpaceWeatherAppUseCase * NOAASWPCOrgUseCase * CustomStringLoopingUseCase * MaskingFeatureUseCase * ValidationUseCase Navigate to the :ref:`quick-search` page to discover other similar use cases. .. _sphx_glr_download_generated_model_applications_space_weather_GridStat_fcstGloTEC_obsGloTEC_vx7.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: GridStat_fcstGloTEC_obsGloTEC_vx7.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: GridStat_fcstGloTEC_obsGloTEC_vx7.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: GridStat_fcstGloTEC_obsGloTEC_vx7.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_