data/EDA/fwi_forecast.ipynb

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   "source": [
    "# Imports\n",
    "**glob**: Get files using a pattern specified by wildcard.<br>\n",
    "**xarray**: Reading datafiles as multi-dimensional arrays.<br>\n",
    "**numpy**: Numerical operations.<br>\n",
    "**matplotlib**: Plotting data.<br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from glob import glob\n",
    "import xarray as xr\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# File sorting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`*` matches 0 or more characters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_list = glob('/nvme0/fwi-forecast/ECMWF_FWI_2019*_1200_hr_fwi.nc')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A sample of file names."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['/nvme0/fwi-forecast/ECMWF_FWI_20190709_1200_hr_fwi.nc',\n",
       " '/nvme0/fwi-forecast/ECMWF_FWI_20190515_1200_hr_fwi.nc',\n",
       " '/nvme0/fwi-forecast/ECMWF_FWI_20191211_1200_hr_fwi.nc']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file_list[:3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sorting files by time to get deterministic order after loading."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "files = sorted(file_list, key=lambda x: int(x[-19:-17])*100 + int(x[-17:-15]))[:184]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*Data is expected to be for 6 months*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "184"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(files)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Saving the files in a separate location (once) to prevent unintended modification of original dataset. `shutil` allows efficient file operation by using shell commands under the hood."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import shutil\n",
    "# for file in files:\n",
    "#     shutil.copy(file, '/nvme0/data_deepfwi/fwi-forecast')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Preprocessing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Taking a look at data. `xarray` contains `open_dataset` function to lazy load the contents of the file. `h5netcdf` engine gives faster I/O compared to the default `netcdf4`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
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       "</style><div class='xr-wrap'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8fd24fe7-c1f9-44fb-b721-1640f2de2d05' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8fd24fe7-c1f9-44fb-b721-1640f2de2d05' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 2560</li><li><span class='xr-has-index'>lon</span>: 5120</li><li><span class='xr-has-index'>time</span>: 10</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-adf7bd25-f753-4ff6-a212-73476caf3161' class='xr-section-summary-in' type='checkbox'  checked><label for='section-adf7bd25-f753-4ff6-a212-73476caf3161' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2019-04-01 ... 2019-04-10</div><input id='attrs-5adb7aac-2004-464a-a752-c175c465337c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5adb7aac-2004-464a-a752-c175c465337c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b135216-4d20-4ce5-9512-b997525ca53d' class='xr-var-data-in' type='checkbox'><label for='data-4b135216-4d20-4ce5-9512-b997525ca53d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><pre class='xr-var-data'>array([&#x27;2019-04-01T00:00:00.000000000&#x27;, &#x27;2019-04-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-04-03T00:00:00.000000000&#x27;, &#x27;2019-04-04T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-04-05T00:00:00.000000000&#x27;, &#x27;2019-04-06T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-04-07T00:00:00.000000000&#x27;, &#x27;2019-04-08T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-04-09T00:00:00.000000000&#x27;, &#x27;2019-04-10T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0703125 ... 359.9297</div><input id='attrs-0ecef2ca-fe04-47fb-990e-ae7e6845b313' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ecef2ca-fe04-47fb-990e-ae7e6845b313' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3148e86e-1bab-42b5-b134-06dbcbdad867' class='xr-var-data-in' type='checkbox'><label for='data-3148e86e-1bab-42b5-b134-06dbcbdad867' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><pre class='xr-var-data'>array([0.000000e+00, 7.031250e-02, 1.406250e-01, ..., 3.597891e+02,\n",
       "       3.598594e+02, 3.599297e+02], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>89.94619 89.87648 ... -89.94619</div><input id='attrs-f52715ff-b0ad-4658-bd5f-23114b09fffe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f52715ff-b0ad-4658-bd5f-23114b09fffe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83717882-c34e-4483-9da4-41a4dcf814ed' class='xr-var-data-in' type='checkbox'><label for='data-83717882-c34e-4483-9da4-41a4dcf814ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><pre class='xr-var-data'>array([ 89.94619,  89.87648,  89.80636, ..., -89.80636, -89.87648, -89.94619],\n",
       "      dtype=float32)</pre></li></ul></div></li><li class='xr-section-item'><input id='section-975849bb-f4d8-4412-9f33-3a5444e352f2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-975849bb-f4d8-4412-9f33-3a5444e352f2' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>fwi</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8c1ab170-20ee-4d13-9a1f-aec508b6e031' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c1ab170-20ee-4d13-9a1f-aec508b6e031' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c67e627-9a1a-42e7-a0c5-6a7621abe1df' class='xr-var-data-in' type='checkbox'><label for='data-9c67e627-9a1a-42e7-a0c5-6a7621abe1df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>title :</span></dt><dd>Fire Weather Index</dd></dl></div><pre class='xr-var-data'>[131072000 values with dtype=float32]</pre></li></ul></div></li><li class='xr-section-item'><input id='section-6b970554-8e33-4429-b28d-52a45e41518f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6b970554-8e33-4429-b28d-52a45e41518f' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.8 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>Wed Jun 03 12:15:04 2020: cdo --silent -select,name=fwi /scratch/rd/nen/perClaudia/ESoWC/rt/ECMWF_FWI_20190401_1200_hr.nc /scratch/rd/nen/perClaudia/ESoWC/rt/fwi/ECMWF_FWI_20190401_1200_hr_fwi.nc\n",
       "Mon Apr  1 06:32:15 2019: ncatted -O -a version,global,c,c,3.0 ECMWF_FWI_20190401_1200_hr.nc\n",
       "Mon Apr 01 06:30:02 2019: cdo -f nc4 -z zip_1 -selvar,fwi,ffmc,dmc,dc,isi,bui,dsr,danger_risk ecfire.nc ECMWF_FWI_20190401_1200_hr.nc\n",
       "Mon Apr  1 06:26:46 2019: ncatted -O -a version,global,c,c,3.0 ecfire.nc</dd><dt><span>Reference date :</span></dt><dd>20190401</dd><dt><span>ECMWF fire model :</span></dt><dd>3.0</dd><dt><span>Lincense :</span></dt><dd>Copernicus</dd><dt><span>version :</span></dt><dd>3.0</dd><dt><span>NCO :</span></dt><dd>4.6.7</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.8 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 2560, lon: 5120, time: 10)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2019-04-01 2019-04-02 ... 2019-04-10\n",
       "  * lon      (lon) float32 0.0 0.0703125 0.140625 ... 359.85938 359.9297\n",
       "  * lat      (lat) float32 89.94619 89.87648 89.80636 ... -89.87648 -89.94619\n",
       "Data variables:\n",
       "    fwi      (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    CDI:               Climate Data Interface version 1.9.8 (https://mpimet.m...\n",
       "    Conventions:       CF-1.6\n",
       "    history:           Wed Jun 03 12:15:04 2020: cdo --silent -select,name=fw...\n",
       "    Reference date:    20190401\n",
       "    ECMWF fire model:  3.0\n",
       "    Lincense:          Copernicus\n",
       "    version:           3.0\n",
       "    NCO:               4.6.7\n",
       "    CDO:               Climate Data Operators version 1.9.8 (https://mpimet.m..."
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xr.open_dataset(files[0], engine='h5netcdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Each file contains the actual observation along with 9 day forecast."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Selecting only the actual value for the task at hand. `isel` method allows selecting data by index slice."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def preprocess(d):\n",
    "    return d.isel(time=slice(0,1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Combining multiple files into single dataarray."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "proc = xr.open_mfdataset(files, preprocess=preprocess, engine='h5netcdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Taking a look."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
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       "</style><div class='xr-wrap'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0c2d6905-1096-4b8b-a0a7-0e8c27752cfb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0c2d6905-1096-4b8b-a0a7-0e8c27752cfb' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 2560</li><li><span class='xr-has-index'>lon</span>: 5120</li><li><span class='xr-has-index'>time</span>: 184</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-06c8ee31-3af0-4e8f-85bd-617f6ebe99b4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-06c8ee31-3af0-4e8f-85bd-617f6ebe99b4' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0703125 ... 359.9297</div><input id='attrs-47f46469-3c9d-4659-b8c1-1bfebbfedc79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47f46469-3c9d-4659-b8c1-1bfebbfedc79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5530f87d-fb3c-48c2-9868-f739810c2659' class='xr-var-data-in' type='checkbox'><label for='data-5530f87d-fb3c-48c2-9868-f739810c2659' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><pre class='xr-var-data'>array([0.000000e+00, 7.031250e-02, 1.406250e-01, ..., 3.597891e+02,\n",
       "       3.598594e+02, 3.599297e+02], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>89.94619 89.87648 ... -89.94619</div><input id='attrs-788265bf-3747-44c0-82d3-4f03e15bfe61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-788265bf-3747-44c0-82d3-4f03e15bfe61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7260fe8-e39d-445f-ba48-475925ece710' class='xr-var-data-in' type='checkbox'><label for='data-b7260fe8-e39d-445f-ba48-475925ece710' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><pre class='xr-var-data'>array([ 89.94619,  89.87648,  89.80636, ..., -89.80636, -89.87648, -89.94619],\n",
       "      dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2019-04-01 ... 2019-10-01</div><input id='attrs-4e9312e9-7bc6-4327-8e6e-7461f732b6de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e9312e9-7bc6-4327-8e6e-7461f732b6de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77768f24-d146-4998-b651-2787559a9b8d' class='xr-var-data-in' type='checkbox'><label for='data-77768f24-d146-4998-b651-2787559a9b8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><pre class='xr-var-data'>array([&#x27;2019-04-01T00:00:00.000000000&#x27;, &#x27;2019-04-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-04-03T00:00:00.000000000&#x27;, &#x27;2019-04-04T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-04-05T00:00:00.000000000&#x27;, &#x27;2019-04-06T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-04-07T00:00:00.000000000&#x27;, &#x27;2019-04-08T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-04-09T00:00:00.000000000&#x27;, &#x27;2019-04-10T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-04-11T00:00:00.000000000&#x27;, &#x27;2019-04-12T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-04-13T00:00:00.000000000&#x27;, &#x27;2019-04-14T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-04-15T00:00:00.000000000&#x27;, &#x27;2019-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-04-17T00:00:00.000000000&#x27;, &#x27;2019-04-18T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-04-19T00:00:00.000000000&#x27;, &#x27;2019-04-20T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-04-21T00:00:00.000000000&#x27;, &#x27;2019-04-22T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-04-23T00:00:00.000000000&#x27;, &#x27;2019-04-24T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-04-25T00:00:00.000000000&#x27;, &#x27;2019-04-26T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-04-27T00:00:00.000000000&#x27;, &#x27;2019-04-28T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-04-29T00:00:00.000000000&#x27;, &#x27;2019-04-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-05-01T00:00:00.000000000&#x27;, &#x27;2019-05-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-05-03T00:00:00.000000000&#x27;, &#x27;2019-05-04T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-05-05T00:00:00.000000000&#x27;, &#x27;2019-05-06T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-05-07T00:00:00.000000000&#x27;, &#x27;2019-05-08T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-05-09T00:00:00.000000000&#x27;, &#x27;2019-05-10T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-05-11T00:00:00.000000000&#x27;, &#x27;2019-05-12T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-05-13T00:00:00.000000000&#x27;, &#x27;2019-05-14T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-05-15T00:00:00.000000000&#x27;, &#x27;2019-05-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-05-17T00:00:00.000000000&#x27;, &#x27;2019-05-18T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-05-19T00:00:00.000000000&#x27;, &#x27;2019-05-20T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-05-21T00:00:00.000000000&#x27;, &#x27;2019-05-22T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-05-23T00:00:00.000000000&#x27;, &#x27;2019-05-24T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-05-25T00:00:00.000000000&#x27;, &#x27;2019-05-26T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-05-27T00:00:00.000000000&#x27;, &#x27;2019-05-28T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-05-29T00:00:00.000000000&#x27;, &#x27;2019-05-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-05-31T00:00:00.000000000&#x27;, &#x27;2019-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-06-02T00:00:00.000000000&#x27;, &#x27;2019-06-03T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-06-04T00:00:00.000000000&#x27;, &#x27;2019-06-05T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-06-06T00:00:00.000000000&#x27;, &#x27;2019-06-07T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-06-08T00:00:00.000000000&#x27;, &#x27;2019-06-09T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-06-10T00:00:00.000000000&#x27;, &#x27;2019-06-11T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-06-12T00:00:00.000000000&#x27;, &#x27;2019-06-13T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-06-14T00:00:00.000000000&#x27;, &#x27;2019-06-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-06-16T00:00:00.000000000&#x27;, &#x27;2019-06-17T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-06-18T00:00:00.000000000&#x27;, &#x27;2019-06-19T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-06-20T00:00:00.000000000&#x27;, &#x27;2019-06-21T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-06-22T00:00:00.000000000&#x27;, &#x27;2019-06-23T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-06-24T00:00:00.000000000&#x27;, &#x27;2019-06-25T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-06-26T00:00:00.000000000&#x27;, &#x27;2019-06-27T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-06-28T00:00:00.000000000&#x27;, &#x27;2019-06-29T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-06-30T00:00:00.000000000&#x27;, &#x27;2019-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-07-02T00:00:00.000000000&#x27;, &#x27;2019-07-03T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-07-04T00:00:00.000000000&#x27;, &#x27;2019-07-05T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-07-06T00:00:00.000000000&#x27;, &#x27;2019-07-07T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-07-08T00:00:00.000000000&#x27;, &#x27;2019-07-09T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-07-10T00:00:00.000000000&#x27;, &#x27;2019-07-11T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-07-12T00:00:00.000000000&#x27;, &#x27;2019-07-13T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-07-14T00:00:00.000000000&#x27;, &#x27;2019-07-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-07-16T00:00:00.000000000&#x27;, &#x27;2019-07-17T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-07-18T00:00:00.000000000&#x27;, &#x27;2019-07-19T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-07-20T00:00:00.000000000&#x27;, &#x27;2019-07-21T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-07-22T00:00:00.000000000&#x27;, &#x27;2019-07-23T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-07-24T00:00:00.000000000&#x27;, &#x27;2019-07-25T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-07-26T00:00:00.000000000&#x27;, &#x27;2019-07-27T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-07-28T00:00:00.000000000&#x27;, &#x27;2019-07-29T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-07-30T00:00:00.000000000&#x27;, &#x27;2019-07-31T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-08-01T00:00:00.000000000&#x27;, &#x27;2019-08-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-08-03T00:00:00.000000000&#x27;, &#x27;2019-08-04T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-08-05T00:00:00.000000000&#x27;, &#x27;2019-08-06T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-08-07T00:00:00.000000000&#x27;, &#x27;2019-08-08T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-08-09T00:00:00.000000000&#x27;, &#x27;2019-08-10T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-08-11T00:00:00.000000000&#x27;, &#x27;2019-08-12T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-08-13T00:00:00.000000000&#x27;, &#x27;2019-08-14T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-08-15T00:00:00.000000000&#x27;, &#x27;2019-08-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-08-17T00:00:00.000000000&#x27;, &#x27;2019-08-18T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-08-19T00:00:00.000000000&#x27;, &#x27;2019-08-20T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-08-21T00:00:00.000000000&#x27;, &#x27;2019-08-22T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-08-23T00:00:00.000000000&#x27;, &#x27;2019-08-24T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-08-25T00:00:00.000000000&#x27;, &#x27;2019-08-26T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-08-27T00:00:00.000000000&#x27;, &#x27;2019-08-28T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-08-29T00:00:00.000000000&#x27;, &#x27;2019-08-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-08-31T00:00:00.000000000&#x27;, &#x27;2019-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-02T00:00:00.000000000&#x27;, &#x27;2019-09-03T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-04T00:00:00.000000000&#x27;, &#x27;2019-09-05T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-06T00:00:00.000000000&#x27;, &#x27;2019-09-07T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-08T00:00:00.000000000&#x27;, &#x27;2019-09-09T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-10T00:00:00.000000000&#x27;, &#x27;2019-09-11T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-12T00:00:00.000000000&#x27;, &#x27;2019-09-13T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-14T00:00:00.000000000&#x27;, &#x27;2019-09-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-16T00:00:00.000000000&#x27;, &#x27;2019-09-17T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-18T00:00:00.000000000&#x27;, &#x27;2019-09-19T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-20T00:00:00.000000000&#x27;, &#x27;2019-09-21T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-22T00:00:00.000000000&#x27;, &#x27;2019-09-23T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-24T00:00:00.000000000&#x27;, &#x27;2019-09-25T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-26T00:00:00.000000000&#x27;, &#x27;2019-09-27T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-28T00:00:00.000000000&#x27;, &#x27;2019-09-29T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-30T00:00:00.000000000&#x27;, &#x27;2019-10-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></li></ul></div></li><li class='xr-section-item'><input id='section-7d7b1e88-fa16-45ef-8959-8db8176684dc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7d7b1e88-fa16-45ef-8959-8db8176684dc' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>fwi</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2560, 5120), meta=np.ndarray&gt;</div><input id='attrs-9978efc8-d29f-4796-ab1e-e3b972b5728a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9978efc8-d29f-4796-ab1e-e3b972b5728a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68a5f962-8bf8-45b3-a2a8-0db3c4f856ee' class='xr-var-data-in' type='checkbox'><label for='data-68a5f962-8bf8-45b3-a2a8-0db3c4f856ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>title :</span></dt><dd>Fire Weather Index</dd></dl></div><pre class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 9.65 GB </td> <td> 52.43 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (184, 2560, 5120) </td> <td> (1, 2560, 5120) </td></tr>\n",
       "    <tr><th> Count </th><td> 736 Tasks </td><td> 184 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
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       "\n",
       "  <!-- Vertical lines -->\n",
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       "\n",
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       "  <polygon points=\"10.000000,0.000000 130.000000,0.000000 149.106221,19.106221 29.106221,19.106221\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"29\" y1=\"19\" x2=\"149\" y2=\"19\" style=\"stroke-width:2\" />\n",
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       "  <!-- Text -->\n",
       "  <text x=\"89.106221\" y=\"99.106221\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >5120</text>\n",
       "  <text x=\"169.106221\" y=\"49.106221\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,169.106221,49.106221)\">2560</text>\n",
       "  <text x=\"9.553111\" y=\"89.553111\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,9.553111,89.553111)\">184</text>\n",
       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table></pre></li></ul></div></li><li class='xr-section-item'><input id='section-e5ec1389-30ed-4f51-88bd-9aecdc1da97b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e5ec1389-30ed-4f51-88bd-9aecdc1da97b' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.8 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>Wed Jun 03 12:15:04 2020: cdo --silent -select,name=fwi /scratch/rd/nen/perClaudia/ESoWC/rt/ECMWF_FWI_20190401_1200_hr.nc /scratch/rd/nen/perClaudia/ESoWC/rt/fwi/ECMWF_FWI_20190401_1200_hr_fwi.nc\n",
       "Mon Apr  1 06:32:15 2019: ncatted -O -a version,global,c,c,3.0 ECMWF_FWI_20190401_1200_hr.nc\n",
       "Mon Apr 01 06:30:02 2019: cdo -f nc4 -z zip_1 -selvar,fwi,ffmc,dmc,dc,isi,bui,dsr,danger_risk ecfire.nc ECMWF_FWI_20190401_1200_hr.nc\n",
       "Mon Apr  1 06:26:46 2019: ncatted -O -a version,global,c,c,3.0 ecfire.nc</dd><dt><span>Reference date :</span></dt><dd>20190401</dd><dt><span>ECMWF fire model :</span></dt><dd>3.0</dd><dt><span>Lincense :</span></dt><dd>Copernicus</dd><dt><span>version :</span></dt><dd>3.0</dd><dt><span>NCO :</span></dt><dd>4.6.7</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.8 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 2560, lon: 5120, time: 184)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 0.0 0.0703125 0.140625 ... 359.85938 359.9297\n",
       "  * lat      (lat) float32 89.94619 89.87648 89.80636 ... -89.87648 -89.94619\n",
       "  * time     (time) datetime64[ns] 2019-04-01 2019-04-02 ... 2019-10-01\n",
       "Data variables:\n",
       "    fwi      (time, lat, lon) float32 dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>\n",
       "Attributes:\n",
       "    CDI:               Climate Data Interface version 1.9.8 (https://mpimet.m...\n",
       "    Conventions:       CF-1.6\n",
       "    history:           Wed Jun 03 12:15:04 2020: cdo --silent -select,name=fw...\n",
       "    Reference date:    20190401\n",
       "    ECMWF fire model:  3.0\n",
       "    Lincense:          Copernicus\n",
       "    version:           3.0\n",
       "    NCO:               4.6.7\n",
       "    CDO:               Climate Data Operators version 1.9.8 (https://mpimet.m..."
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "proc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Pixel resolution**: *2560x5120*<br>\n",
    "**Longitude resolution**: 0.0703125<br>\n",
    "**Latitude resolution**: 0.06971<br>\n",
    "*Should match with fwi-forcings to not require interpolation*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7ff80e123e50>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (20,10)).suptitle('Global FWI-forecast for 2019-04-01', fontsize=25)\n",
    "proc.fwi[0].plot(cmap='hsv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Checking for NaN values.<br>\n",
    "Numpy array for the `xarray` dataarray can be accessed by `values` attribute. `numpy` provides `isnan` function which returns a boolean mask. `any` method on numpy array can be used to check for atleast one instance of NaN value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.isnan(proc.fwi[0].values).any()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Printing general stats. During calculation, the NaN values are skipped using `skipna` parameter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [],
   "source": [
    "def stats(x):\n",
    "    tmp = x.mean(skipna=True).values\n",
    "    print('mean', tmp)\n",
    "    print('mad', abs(x-tmp).mean(skipna=True).values)\n",
    "    print('var', x.var(skipna=True).values)\n",
    "    print('min', x.min(skipna=True).values)\n",
    "    print('max', x.max(skipna=True).values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean 18.389227\n",
      "mad 20.80943\n",
      "var 716.1736\n",
      "min 1.72531e-09\n",
      "max 438.3116\n"
     ]
    }
   ],
   "source": [
    "stats(proc.fwi)"
   ]
  }
 ],
 "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": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}