{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# PCPCombine: DERIVE Use Case\n\nmet_tool_wrapper/PCPCombine/PCPCombine_derive.conf\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Scientific Objective\n\nDerive statistics (sum, minimum, maximum, range, mean, standard deviation, and valid count) using six 3 hour\nprecipitation accumulation fields.\n\n\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Datasets\n\n| **Forecast:** WRF precipitation accumulation fields (24, 21, 18, 15, 12, and 9 hour forecast leads)\n\n| **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\n| This tarball should be unpacked into the directory that you will set the value of INPUT_BASE. See `Running METplus`_ section for more information.\n\n| **Data Source:** WRF\n|\n\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## METplus Components\n\nThis use case utilizes the METplus PCPCombine wrapper to search for files for each run time\nusing a filename template, forecast lead, and lookback time. It will a generate a command to run PCPCombine to derive\nstatistics from the fields.\n\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## METplus Workflow\n\nPCPCombine is the only tool called in this example. It processes the following\nrun times:\n\n| **Valid:** 2005-08-07_00Z\n| **Forecast lead:** 24 hour\n|\n\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## METplus Configuration\n\nMETplus first loads all of the configuration files found in parm/metplus_config,\nthen it loads any configuration files passed to METplus via the command line\nwith the -c option, i.e. -c parm/use_cases/met_tool_wrapper/PCPCombine/PCPCombine_derive.conf\n\n.. highlight:: bash\n.. literalinclude:: ../../../../parm/use_cases/met_tool_wrapper/PCPCombine/PCPCombine_derive.conf\n\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## MET Configuration\n\nNone. PCPCombine does not use configuration files.\n\n\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Running METplus\n\nThis use case can be run two ways:\n\n1) Passing in PCPCombine_derive.conf then a user-specific system configuration file::\n\n       run_metplus.py -c /path/to/METplus/parm/use_cases/met_tool_wrapper/PCPCombine/PCPCombine_derive.conf -c /path/to/user_system.conf\n\n2) Modifying the configurations in parm/metplus_config, then passing in PCPCombine_derive.conf::\n\n       run_metplus.py -c /path/to/METplus/parm/use_cases/met_tool_wrapper/PCPCombine/PCPCombine_derive.conf\n\nThe 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:\n\n* **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\n* **OUTPUT_BASE** - Path where METplus output will be written. This must be in a location where you have write permissions\n* **MET_INSTALL_DIR** - Path to location where MET is installed locally\n\nExample User Configuration File::\n\n  [dir]\n  INPUT_BASE = /path/to/sample/input/data\n  OUTPUT_BASE = /path/to/output/dir\n  MET_INSTALL_DIR = /path/to/met-X.Y \n\n**NOTE:** All of these items must be found under the [dir] section.\n\n\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Expected Output\n\nA successful run will output the following both to the screen and to the logfile::\n\n  INFO: METplus has successfully finished running.\n\nRefer to the value set for **OUTPUT_BASE** to find where the output data was generated.\nOutput for this use case will be found in met_tool_wrapper/PCPCombine/PCPCombine_derive (relative to **OUTPUT_BASE**)\nand will contain the following files:\n\n* wrfprs_ruc13_2005080700_f24_A18.nc\n\n\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Keywords\n\n<div class=\"alert alert-info\"><h4>Note</h4><p>* PCPCombineToolUseCase\n\n  Navigate to the `quick-search` page to discover other similar use cases.</p></div>\n\n\n\nsphinx_gallery_thumbnail_path = '_static/met_tool_wrapper-PCPCombine.png'\n\n\n"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.7.9"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}