.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "generated/met_tool_wrapper/TCMPRPlotter/TCMPRPlotter.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_met_tool_wrapper_TCMPRPlotter_TCMPRPlotter.py: TCMPRPlotter: Basic Use Case ======================================================= met_tool_wrapper/TCMPRPlotter/TCMPRPlotter.conf .. GENERATED FROM PYTHON SOURCE LINES 9-13 Scientific Objective -------------------- Generate plots of tropical cyclone tracks. .. GENERATED FROM PYTHON SOURCE LINES 15-26 Datasets -------- No datasets are used in this use case, the tc-pairs output from the MET tc-pairs tool is used as input. | **Location:** All of the input data required for this use case can be found in the met_test sample data tarball. Click here to 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 `Running METplus`_ section for more information. | .. GENERATED FROM PYTHON SOURCE LINES 28-33 METplus Components ------------------ This use case utilizes the METplus TCMPRPlotter wrapper to invoke the the MET script tcmpr_plotter.R. .. GENERATED FROM PYTHON SOURCE LINES 35-39 METplus Workflow ---------------- tcmpr_plotter.R is the only tool (script) called in this example. .. GENERATED FROM PYTHON SOURCE LINES 41-50 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/met_tool_wrapper/TCMPRPlotter/TCMPRPlotter.conf .. highlight:: bash .. literalinclude:: ../../../../parm/use_cases/met_tool_wrapper/TCMPRPlotter/TCMPRPlotter.conf .. GENERATED FROM PYTHON SOURCE LINES 52-56 MET Configuration --------------------- A MET configuration is not needed to run this single wrapper use case. .. GENERATED FROM PYTHON SOURCE LINES 58-86 Running METplus --------------- This use case can be run two ways: 1) Passing in TCMPRPlotter.conf then a user-specific system configuration file:: run_metplus.py -c /path/to/METplus/parm/use_cases/met_tool_wrapper/TCMPRPlotter/TCMPRPlotter.conf -c /path/to/user_system.conf 2) Modifying the configurations in parm/metplus_config, then passing in TCMPRPlotter.conf:: run_metplus.py -c /path/to/METplus/parm/use_cases/met_tool_wrapper/TCMPRPlotter/TCMPRPlotter.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 88-105 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 tcmpr_plots/2005080700 (relative to **OUTPUT_BASE**) and will contain the following files: * AMAX_WIND-BMAX_WIND_mean.png * AMAX_WIND-BMAX_WIND_mean.png * AMSLP-BMSLP_mean.png * AMSLP-BMSLP_median.png * TK_ERR_mean.png * TK_ERR_median.png .. GENERATED FROM PYTHON SOURCE LINES 107-117 Keywords -------- .. note:: * TCMPRPlotterUseCase * TropicalCycloneUseCase Navigate to the :ref:`quick-search` page to discover other similar use cases. .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 0.000 seconds) .. _sphx_glr_download_generated_met_tool_wrapper_TCMPRPlotter_TCMPRPlotter.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: TCMPRPlotter.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: TCMPRPlotter.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_