.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "generated/model_applications/short_range/Point2Grid_obsLSR_ObsOnly_PracticallyPerfect.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_short_range_Point2Grid_obsLSR_ObsOnly_PracticallyPerfect.py: Point2Grid: Calculate Practically Perfect Probabilities ======================================================= model_applications/short_range/Point2Grid_obsLSR_ObsOnly_PracticallyPerfect.conf .. GENERATED FROM PYTHON SOURCE LINES 9-13 .. contents:: :depth: 1 :local: :backlinks: none .. GENERATED FROM PYTHON SOURCE LINES 15-20 Scientific Objective -------------------- To use storm reports as observations to calculate Practically Perfect probabilities. .. GENERATED FROM PYTHON SOURCE LINES 22-26 Version Added ------------- METplus version 3.1 .. GENERATED FROM PYTHON SOURCE LINES 28-45 Datasets -------- **Forecast:** None **Observation:** NOAA Storm Prediction Center (SPC) Local Storm Reports **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 47-54 METplus Components ------------------ This use case runs ASCII2NC to get the storm reports in netcdf format, runs Point2Grid to get those netcdf observations onto a grid, runs RegridDataPlane to use that gridded data as a mask to calculate probabilities .. GENERATED FROM PYTHON SOURCE LINES 56-77 METplus Workflow ---------------- **Beginning time (INIT_BEG):** 2020020500 **End time (INIT_END):** 2020020500 **Increment between beginning and end times (INIT_INCREMENT):** 24H **Sequence of forecast leads to process (LEAD_SEQ):** 24H The following tools are used for each run time: ASCII2NC > Point2Grid > RegridDataPlane This example runs on a single time/file at a time. Each storm report is assumed to have no more than 24 hours of data inside. Run times: 2020-02-05 .. GENERATED FROM PYTHON SOURCE LINES 79-89 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/short_range/Point2Grid_obsLSR_ObsOnly_PracticallyPerfect.conf .. highlight:: bash .. literalinclude:: ../../../../parm/use_cases/model_applications/short_range/Point2Grid_obsLSR_ObsOnly_PracticallyPerfect.conf .. GENERATED FROM PYTHON SOURCE LINES 91-106 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:: Ascii2NcConfig_wrapped .. literalinclude:: ../../../../parm/met_config/Ascii2NcConfig_wrapped .. GENERATED FROM PYTHON SOURCE LINES 108-121 Python Embedding ---------------- This use case uses a Python embedding script to read input data. .. dropdown:: parm/use_cases/model_applications/short_range/Point2Grid_obsLSR_ObsOnly_PracticallyPerfect/read_ascii_storm.py .. highlight:: python .. literalinclude:: ../../../../parm/use_cases/model_applications/short_range/Point2Grid_obsLSR_ObsOnly_PracticallyPerfect/read_ascii_storm.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 `_. .. GENERATED FROM PYTHON SOURCE LINES 123-127 User Scripting -------------- User Scripting is not used in this use case. .. GENERATED FROM PYTHON SOURCE LINES 129-138 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/Point2Grid_obsLSR_ObsOnly_PracticallyPerfect.conf /path/to/user_system.conf See :ref:`running-metplus` for more information. .. GENERATED FROM PYTHON SOURCE LINES 140-153 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/short_range/practically_perfect/ (relative to **OUTPUT_BASE**) and will contain the following files: * StormReps_211_Probs.20200205.nc .. GENERATED FROM PYTHON SOURCE LINES 156-177 Keywords -------- .. note:: * ASCII2NCToolUseCase * Point2GridToolUseCase * RegridDataPlaneToolUseCase * RegriddingInToolUseCase * NetCDFFileUseCase * PythonEmbeddingFileUseCase * ShortRangeAppUseCase * NCAROrgUseCase * ProbabilityGenerationUseCase * MaskingFeatureUseCase * HMTOrgUseCase * HWTOrgUseCase Navigate to the :ref:`quick-search` page to discover other similar use cases. .. _sphx_glr_download_generated_model_applications_short_range_Point2Grid_obsLSR_ObsOnly_PracticallyPerfect.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: Point2Grid_obsLSR_ObsOnly_PracticallyPerfect.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: Point2Grid_obsLSR_ObsOnly_PracticallyPerfect.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: Point2Grid_obsLSR_ObsOnly_PracticallyPerfect.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_