.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "generated/model_applications/marine_and_cryosphere/PlotDataPlane_obsHYCOM_coordTripolar.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_marine_and_cryosphere_PlotDataPlane_obsHYCOM_coordTripolar.py: PlotDataPlane: Python Embedding of tripolar coordinate file =========================================================== model_applications/marine_and_cryosphere/PlotDataPlane_obsHYCOM_coordTripolar.conf .. GENERATED FROM PYTHON SOURCE LINES 9-13 .. contents:: :depth: 1 :local: :backlinks: none .. GENERATED FROM PYTHON SOURCE LINES 15-20 Scientific Objective -------------------- By producing a postscript image from a file that utilizes a tripolar coordinate system, this use case shows METplus can utilize python embedding to ingest and utilize file structures on the same coordinate system. .. GENERATED FROM PYTHON SOURCE LINES 22-26 Version Added ------------- METplus version 4.0 .. GENERATED FROM PYTHON SOURCE LINES 28-45 Datasets -------- **Forecast:** HYbrid Coordinate Ocean Model (HYCOM) **Observation:** None **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 47-60 External Dependencies --------------------- You will need to use a version of Python 3.6+ that has the following packages installed: * xesmf If the version of Python used to compile MET did not have these libraries at the time of compilation, you will need to add these packages or create a new Python environment with these packages. If this is the case, you will need to set the MET_PYTHON_EXE environment variable to the path of the version of Python you want to use. If you want this version of Python to only apply to this use case, set it in the [user_env_vars] section of a METplus configuration file.: [user_env_vars] MET_PYTHON_EXE = /path/to/python/with/required/packages/bin/python .. GENERATED FROM PYTHON SOURCE LINES 62-67 METplus Components ------------------ This use case utilizes the METplus PlotDataPlane wrapper to generate a command to run the MET tool PlotDataPlane with Python Embedding if all required files are found. .. GENERATED FROM PYTHON SOURCE LINES 69-90 METplus Workflow ---------------- **Beginning time (VALID_BEG):** 20200127 **End time (VALID_END):** 20200127 **Increment between beginning and end times (VALID_INCREMENT):** 1M **Sequence of forecast leads to process (LEAD_SEQ):** 0 PlotDataPlane is the only tool called in this example. It processes the following run time: **Valid:** 2020-01-27 0Z As it is currently set, the configuration file will pass in the path to the observation data, as well as a path to the weights for the coordinate system. This is done in an effort to speed up running the use case. These weight files are not required to run at the time of executing the use case, but will be made via Python Embedding if they are not found/passed in at run time. Additional user configurations, including the lat/lon spacing, can be found in the python script. .. GENERATED FROM PYTHON SOURCE LINES 92-101 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/marine_and_cryosphere/PlotDataPlane_obsHYCOM_coordTripolar.conf .. highlight:: bash .. literalinclude:: ../../../../parm/use_cases/model_applications/marine_and_cryosphere/PlotDataPlane_obsHYCOM_coordTripolar.conf .. GENERATED FROM PYTHON SOURCE LINES 103-107 MET Configuration ----------------- This tool does not use a MET configuration file. .. GENERATED FROM PYTHON SOURCE LINES 109-122 Python Embedding ---------------- This use case uses one Python script to read input data, passed through two times. .. dropdown:: parm/use_cases/model_applications/marine_and_cryosphere/PlotDataPlane_obsHYCOM_coordTripolar/read_tripolar_grid.py .. highlight:: python .. literalinclude:: ../../../../parm/use_cases/model_applications/marine_and_cryosphere/PlotDataPlane_obsHYCOM_coordTripolar/read_tripolar_grid.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 124-128 User Scripting -------------- User Scripting is not used in this use case. .. GENERATED FROM PYTHON SOURCE LINES 130-139 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/marine_and_cryosphere/PlotDataPlane_obsHYCOM_coordTripolar.conf /path/to/user_system.conf See :ref:`running-metplus` for more information. .. GENERATED FROM PYTHON SOURCE LINES 141-155 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 thisIce use case will be found in model_applications/PlotDataPlane_obsHYCOM_coordTripolar (relative to **OUTPUT_BASE**) and will contain the following files: * HYCOM_iceCoverage_north.ps * HYCOM_iceCoverage_south.ps .. GENERATED FROM PYTHON SOURCE LINES 157-170 Keywords -------- .. note:: * PlotDataPlaneToolUseCase * PythonEmbeddingFileUseCase * MarineAndCryosphereAppUseCase Navigate to the :ref:`quick-search` page to discover other similar use cases. .. GENERATED FROM PYTHON SOURCE LINES 170-172 .. code-block:: Python # .. _sphx_glr_download_generated_model_applications_marine_and_cryosphere_PlotDataPlane_obsHYCOM_coordTripolar.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: PlotDataPlane_obsHYCOM_coordTripolar.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: PlotDataPlane_obsHYCOM_coordTripolar.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: PlotDataPlane_obsHYCOM_coordTripolar.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_