{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Making GRIB dataset CF-compatible\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "from datetime import datetime, timedelta\nfrom opendrift.models.windblow import WindBlow"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Comparing / using two different wind datasets\n\nThe first dataset (UCAR) is a GRIB dataset served by Thredds as a netCDF dataset, but with GRIB attributes\n  CF standard_name are added for identified surface variables (wind) with this method:\n    https://opendrift.github.io/_modules/opendrift/readers.html#add_standard_name_for_surface_grib_variables\n  This should be used with care, making sure that only surface (10m height) variables are used\n\nThe second dataset (PACIOOS) is a netCDF4 dataset served by Thredds with CF attributes\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "wind_datasets = [\n    'https://thredds.ucar.edu/thredds/dodsC/grib/NCEP/GFS/Global_0p25deg/Best',\n    'https://pae-paha.pacioos.hawaii.edu/thredds/dodsC/ncep_global/NCEP_Global_Atmospheric_Model_best.ncd'\n    ]\n\nsimulations = []\n\ntime = datetime.now() - timedelta(days=5)\nfor wind in wind_datasets:\n    o = WindBlow(loglevel=20)\n    o.add_readers_from_list(wind)\n    o.seed_elements(lon=3, lat=60, time=time, number=10, radius=10000)\n    o.run(duration=timedelta(hours=48))\n    simulations.append(o)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Some differences are expected as datasets may origin from different runs\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "simulations[0].plot(compare=simulations[1:], lscale='i', legend=['GRIB converted', 'netCDF CF compatible'])"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
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      "name": "python3"
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    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.14.6"
    }
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