4 Basic xarray - calculating metrics.ipynb

{
 "cells": [
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Calculating metrics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "xarray is built on top of [numpy](http://numpy.org), which means it implements many of the numpy operators as native methods, and those it doesn't can still be used on the underlying numpy arrays contained with an `xarray.DataArray` object.\n",
    "\n",
    "This is intended as a short introduction with a focus on climate data. The [xarray documentation on computation](http://xarray.pydata.org/en/stable/computation.html) is excellent and contains many more examples and much more detail.\n",
    "\n",
    "**Note:** This notebook has been updated to include proper weighting of spatial averages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load a CMIP5 air temperature data set into the variable `ds`, and make a variable, `tas`, which directly references the near surface air temperature `DataArray`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = xarray.open_dataset('http://dapds00.nci.org.au/thredds/dodsC/rr3/CMIP5/output1/CSIRO-BOM/ACCESS1-3/historical/mon/atmos/Amon/r1i1p1/latest/tas/tas_Amon_ACCESS1-3_historical_r1i1p1_185001-200512.nc')\n",
    "tas = ds.tas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tas&#x27; (time: 1872, lat: 145, lon: 192)&gt;\n",
       "[52116480 values with dtype=float32]\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1850-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
       "  * lat      (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
       "    height   float64 1.5\n",
       "Attributes:\n",
       "    standard_name:     air_temperature\n",
       "    long_name:         Near-Surface Air Temperature\n",
       "    units:             K\n",
       "    cell_methods:      time: mean\n",
       "    cell_measures:     area: areacella\n",
       "    history:           2012-02-05T23:49:51Z altered by CMOR: Treated scalar d...\n",
       "    associated_files:  baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tas'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1872</li><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-25f0eb10-cbac-4629-a731-93b4d272ba8f' class='xr-array-in' type='checkbox' checked><label for='section-25f0eb10-cbac-4629-a731-93b4d272ba8f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[52116480 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-97ed12f7-433b-4e2b-b94d-543ec2e4dd7f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-97ed12f7-433b-4e2b-b94d-543ec2e4dd7f' class='xr-section-summary' >Coordinates: <span>(4)</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'>1850-01-16T12:00:00 ... 2005-12-...</div><input id='attrs-2a82b7bc-b823-4e69-97f5-bd3578353467' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a82b7bc-b823-4e69-97f5-bd3578353467' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e0a2172-9721-41e4-9e29-d44e33480670' class='xr-var-data-in' type='checkbox'><label for='data-7e0a2172-9721-41e4-9e29-d44e33480670' 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>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-16T12:00:00.000000000&#x27;, &#x27;1850-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1850-03-16T12:00:00.000000000&#x27;, ..., &#x27;2005-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-11-16T00:00:00.000000000&#x27;, &#x27;2005-12-16T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></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'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-c0bafe34-705e-4c4f-9031-51e8ed1e68a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0bafe34-705e-4c4f-9031-51e8ed1e68a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79bb51f3-fe3b-4fb2-b878-cae604a69dd7' class='xr-var-data-in' type='checkbox'><label for='data-79bb51f3-fe3b-4fb2-b878-cae604a69dd7' 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>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
       "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
       "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
       "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
       "       -45.  , -43.75, -42.5 , -41.25, -40.  , -38.75, -37.5 , -36.25, -35.  ,\n",
       "       -33.75, -32.5 , -31.25, -30.  , -28.75, -27.5 , -26.25, -25.  , -23.75,\n",
       "       -22.5 , -21.25, -20.  , -18.75, -17.5 , -16.25, -15.  , -13.75, -12.5 ,\n",
       "       -11.25, -10.  ,  -8.75,  -7.5 ,  -6.25,  -5.  ,  -3.75,  -2.5 ,  -1.25,\n",
       "         0.  ,   1.25,   2.5 ,   3.75,   5.  ,   6.25,   7.5 ,   8.75,  10.  ,\n",
       "        11.25,  12.5 ,  13.75,  15.  ,  16.25,  17.5 ,  18.75,  20.  ,  21.25,\n",
       "        22.5 ,  23.75,  25.  ,  26.25,  27.5 ,  28.75,  30.  ,  31.25,  32.5 ,\n",
       "        33.75,  35.  ,  36.25,  37.5 ,  38.75,  40.  ,  41.25,  42.5 ,  43.75,\n",
       "        45.  ,  46.25,  47.5 ,  48.75,  50.  ,  51.25,  52.5 ,  53.75,  55.  ,\n",
       "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
       "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
       "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
       "        90.  ])</pre></div></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'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-f77182a2-b178-4120-81eb-4011b3091a22' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f77182a2-b178-4120-81eb-4011b3091a22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9a704c4-1e89-4250-877f-4114e9005da0' class='xr-var-data-in' type='checkbox'><label for='data-b9a704c4-1e89-4250-877f-4114e9005da0' 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>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
       "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
       "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
       "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
       "        60.   ,  61.875,  63.75 ,  65.625,  67.5  ,  69.375,  71.25 ,  73.125,\n",
       "        75.   ,  76.875,  78.75 ,  80.625,  82.5  ,  84.375,  86.25 ,  88.125,\n",
       "        90.   ,  91.875,  93.75 ,  95.625,  97.5  ,  99.375, 101.25 , 103.125,\n",
       "       105.   , 106.875, 108.75 , 110.625, 112.5  , 114.375, 116.25 , 118.125,\n",
       "       120.   , 121.875, 123.75 , 125.625, 127.5  , 129.375, 131.25 , 133.125,\n",
       "       135.   , 136.875, 138.75 , 140.625, 142.5  , 144.375, 146.25 , 148.125,\n",
       "       150.   , 151.875, 153.75 , 155.625, 157.5  , 159.375, 161.25 , 163.125,\n",
       "       165.   , 166.875, 168.75 , 170.625, 172.5  , 174.375, 176.25 , 178.125,\n",
       "       180.   , 181.875, 183.75 , 185.625, 187.5  , 189.375, 191.25 , 193.125,\n",
       "       195.   , 196.875, 198.75 , 200.625, 202.5  , 204.375, 206.25 , 208.125,\n",
       "       210.   , 211.875, 213.75 , 215.625, 217.5  , 219.375, 221.25 , 223.125,\n",
       "       225.   , 226.875, 228.75 , 230.625, 232.5  , 234.375, 236.25 , 238.125,\n",
       "       240.   , 241.875, 243.75 , 245.625, 247.5  , 249.375, 251.25 , 253.125,\n",
       "       255.   , 256.875, 258.75 , 260.625, 262.5  , 264.375, 266.25 , 268.125,\n",
       "       270.   , 271.875, 273.75 , 275.625, 277.5  , 279.375, 281.25 , 283.125,\n",
       "       285.   , 286.875, 288.75 , 290.625, 292.5  , 294.375, 296.25 , 298.125,\n",
       "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
       "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
       "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5bc26d29-51d3-48ea-801a-ac429c8545f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5bc26d29-51d3-48ea-801a-ac429c8545f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f8c4217-26fa-4908-b4fb-10c11d2abef9' class='xr-var-data-in' type='checkbox'><label for='data-0f8c4217-26fa-4908-b4fb-10c11d2abef9' 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>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(1.5)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-783b7cac-edcf-4ac7-ae8a-c570f3b8fdb5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-783b7cac-edcf-4ac7-ae8a-c570f3b8fdb5' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-02-05T23:49:51Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2012-02-05T23:49:51Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-3_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-3_historical_r0i0p0.nc</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'tas' (time: 1872, lat: 145, lon: 192)>\n",
       "[52116480 values with dtype=float32]\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1850-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
       "  * lat      (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
       "    height   float64 ...\n",
       "Attributes:\n",
       "    standard_name:     air_temperature\n",
       "    long_name:         Near-Surface Air Temperature\n",
       "    units:             K\n",
       "    cell_methods:      time: mean\n",
       "    cell_measures:     area: areacella\n",
       "    history:           2012-02-05T23:49:51Z altered by CMOR: Treated scalar d...\n",
       "    associated_files:  baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is straightforward to calculate the mean temperature for all locations and times in the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tas&#x27; ()&gt;\n",
       "array(277.5926, dtype=float32)\n",
       "Coordinates:\n",
       "    height   float64 1.5</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tas'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a406c107-1fe7-42c6-afc3-44946cfba9d2' class='xr-array-in' type='checkbox' checked><label for='section-a406c107-1fe7-42c6-afc3-44946cfba9d2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>277.6</span></div><div class='xr-array-data'><pre>array(277.5926, dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-69cfcbfb-c13a-46ee-b2cb-5f56e9a3a578' class='xr-section-summary-in' type='checkbox'  checked><label for='section-69cfcbfb-c13a-46ee-b2cb-5f56e9a3a578' class='xr-section-summary' >Coordinates: <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>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.5</div><input id='attrs-5181900f-3c25-4731-80f6-28f26251aac5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5181900f-3c25-4731-80f6-28f26251aac5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da36663e-fe0f-4c26-a4af-afbbc7cb3c21' class='xr-var-data-in' type='checkbox'><label for='data-da36663e-fe0f-4c26-a4af-afbbc7cb3c21' 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>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(1.5)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fd80d33d-2556-4d83-9d6b-3bf91b47f813' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fd80d33d-2556-4d83-9d6b-3bf91b47f813' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'tas' ()>\n",
       "array(277.5926, dtype=float32)\n",
       "Coordinates:\n",
       "    height   float64 1.5"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tas.mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is possible to specify a dimension along which to compute an operator. For example, to calculate the mean in time for all locations specify the `time` dimension as the dimension along which the mean should be calculated:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f5d425abd90>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tas.mean(dim='time').plot(size=6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is common to calculate a 30-year climatology, which is simple using `sel` and chaining operators"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tas&#x27; (lat: 145, lon: 192)&gt;\n",
       "array([[223.5951 , 223.5951 , 223.5951 , ..., 223.58675, 223.58675,\n",
       "        223.58675],\n",
       "       [227.05313, 227.00461, 226.95636, ..., 227.20116, 227.1515 ,\n",
       "        227.10295],\n",
       "       [228.13997, 228.0243 , 227.9114 , ..., 228.49681, 228.37773,\n",
       "        228.25885],\n",
       "       ...,\n",
       "       [255.42877, 255.46603, 255.50294, ..., 255.29857, 255.34636,\n",
       "        255.38702],\n",
       "       [254.99307, 255.0079 , 255.0223 , ..., 254.94296, 254.95801,\n",
       "        254.97554],\n",
       "       [254.3218 , 254.3218 , 254.3218 , ..., 254.3218 , 254.3218 ,\n",
       "        254.3218 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
       "    height   float64 1.5</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tas'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9c79ea9b-a861-4e1f-bb22-c9ca30df9cef' class='xr-array-in' type='checkbox' checked><label for='section-9c79ea9b-a861-4e1f-bb22-c9ca30df9cef' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>223.6 223.6 223.6 223.6 223.6 223.6 ... 254.3 254.3 254.3 254.3 254.3</span></div><div class='xr-array-data'><pre>array([[223.5951 , 223.5951 , 223.5951 , ..., 223.58675, 223.58675,\n",
       "        223.58675],\n",
       "       [227.05313, 227.00461, 226.95636, ..., 227.20116, 227.1515 ,\n",
       "        227.10295],\n",
       "       [228.13997, 228.0243 , 227.9114 , ..., 228.49681, 228.37773,\n",
       "        228.25885],\n",
       "       ...,\n",
       "       [255.42877, 255.46603, 255.50294, ..., 255.29857, 255.34636,\n",
       "        255.38702],\n",
       "       [254.99307, 255.0079 , 255.0223 , ..., 254.94296, 254.95801,\n",
       "        254.97554],\n",
       "       [254.3218 , 254.3218 , 254.3218 , ..., 254.3218 , 254.3218 ,\n",
       "        254.3218 ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-c15ff91c-232e-4863-9a58-f3f994e571ed' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c15ff91c-232e-4863-9a58-f3f994e571ed' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-fad332ef-83db-4de8-bc6e-f7d49d5cab87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fad332ef-83db-4de8-bc6e-f7d49d5cab87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c8953f0-a60e-4822-8c82-4eab93ba88a2' class='xr-var-data-in' type='checkbox'><label for='data-8c8953f0-a60e-4822-8c82-4eab93ba88a2' 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>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
       "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
       "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
       "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
       "       -45.  , -43.75, -42.5 , -41.25, -40.  , -38.75, -37.5 , -36.25, -35.  ,\n",
       "       -33.75, -32.5 , -31.25, -30.  , -28.75, -27.5 , -26.25, -25.  , -23.75,\n",
       "       -22.5 , -21.25, -20.  , -18.75, -17.5 , -16.25, -15.  , -13.75, -12.5 ,\n",
       "       -11.25, -10.  ,  -8.75,  -7.5 ,  -6.25,  -5.  ,  -3.75,  -2.5 ,  -1.25,\n",
       "         0.  ,   1.25,   2.5 ,   3.75,   5.  ,   6.25,   7.5 ,   8.75,  10.  ,\n",
       "        11.25,  12.5 ,  13.75,  15.  ,  16.25,  17.5 ,  18.75,  20.  ,  21.25,\n",
       "        22.5 ,  23.75,  25.  ,  26.25,  27.5 ,  28.75,  30.  ,  31.25,  32.5 ,\n",
       "        33.75,  35.  ,  36.25,  37.5 ,  38.75,  40.  ,  41.25,  42.5 ,  43.75,\n",
       "        45.  ,  46.25,  47.5 ,  48.75,  50.  ,  51.25,  52.5 ,  53.75,  55.  ,\n",
       "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
       "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
       "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
       "        90.  ])</pre></div></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'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-27007f40-7a1c-4b18-91ce-d70ddd175e97' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27007f40-7a1c-4b18-91ce-d70ddd175e97' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a634c8b-9cfe-417a-8774-70fb9be433e3' class='xr-var-data-in' type='checkbox'><label for='data-1a634c8b-9cfe-417a-8774-70fb9be433e3' 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>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
       "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
       "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
       "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
       "        60.   ,  61.875,  63.75 ,  65.625,  67.5  ,  69.375,  71.25 ,  73.125,\n",
       "        75.   ,  76.875,  78.75 ,  80.625,  82.5  ,  84.375,  86.25 ,  88.125,\n",
       "        90.   ,  91.875,  93.75 ,  95.625,  97.5  ,  99.375, 101.25 , 103.125,\n",
       "       105.   , 106.875, 108.75 , 110.625, 112.5  , 114.375, 116.25 , 118.125,\n",
       "       120.   , 121.875, 123.75 , 125.625, 127.5  , 129.375, 131.25 , 133.125,\n",
       "       135.   , 136.875, 138.75 , 140.625, 142.5  , 144.375, 146.25 , 148.125,\n",
       "       150.   , 151.875, 153.75 , 155.625, 157.5  , 159.375, 161.25 , 163.125,\n",
       "       165.   , 166.875, 168.75 , 170.625, 172.5  , 174.375, 176.25 , 178.125,\n",
       "       180.   , 181.875, 183.75 , 185.625, 187.5  , 189.375, 191.25 , 193.125,\n",
       "       195.   , 196.875, 198.75 , 200.625, 202.5  , 204.375, 206.25 , 208.125,\n",
       "       210.   , 211.875, 213.75 , 215.625, 217.5  , 219.375, 221.25 , 223.125,\n",
       "       225.   , 226.875, 228.75 , 230.625, 232.5  , 234.375, 236.25 , 238.125,\n",
       "       240.   , 241.875, 243.75 , 245.625, 247.5  , 249.375, 251.25 , 253.125,\n",
       "       255.   , 256.875, 258.75 , 260.625, 262.5  , 264.375, 266.25 , 268.125,\n",
       "       270.   , 271.875, 273.75 , 275.625, 277.5  , 279.375, 281.25 , 283.125,\n",
       "       285.   , 286.875, 288.75 , 290.625, 292.5  , 294.375, 296.25 , 298.125,\n",
       "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
       "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
       "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.5</div><input id='attrs-667ec8c9-cf5c-4c6d-ab7c-9dd58154dc05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-667ec8c9-cf5c-4c6d-ab7c-9dd58154dc05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30e1f60f-988d-4918-9f80-8c161887d568' class='xr-var-data-in' type='checkbox'><label for='data-30e1f60f-988d-4918-9f80-8c161887d568' 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>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(1.5)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ad19695e-3d9f-4a86-aa37-8a1ee1361dd3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ad19695e-3d9f-4a86-aa37-8a1ee1361dd3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'tas' (lat: 145, lon: 192)>\n",
       "array([[223.5951 , 223.5951 , 223.5951 , ..., 223.58675, 223.58675,\n",
       "        223.58675],\n",
       "       [227.05313, 227.00461, 226.95636, ..., 227.20116, 227.1515 ,\n",
       "        227.10295],\n",
       "       [228.13997, 228.0243 , 227.9114 , ..., 228.49681, 228.37773,\n",
       "        228.25885],\n",
       "       ...,\n",
       "       [255.42877, 255.46603, 255.50294, ..., 255.29857, 255.34636,\n",
       "        255.38702],\n",
       "       [254.99307, 255.0079 , 255.0223 , ..., 254.94296, 254.95801,\n",
       "        254.97554],\n",
       "       [254.3218 , 254.3218 , 254.3218 , ..., 254.3218 , 254.3218 ,\n",
       "        254.3218 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
       "    height   float64 1.5"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tas_clim = tas.sel(time=slice('1960-01','1989-12')).mean(dim='time')\n",
    "tas_clim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f5d425ef6d0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tas_clim.plot(size=6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The anomaly from the 30 year climatology can now be calculated by subtracting it from the original data. xarray checks which named coordinates match between the two data sets, and *broadcasts* the `tas_clim` data along the missing `time` dimension automatically."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "tas_anom = (tas - tas_clim)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The mean global anomaly in time can be calculated by specifying both `lat` and `lon` dimensions in the `dim` argument to `mean`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f5d4239e880>]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tas_anom.sel(time=slice('1960-01',None)).mean(dim=('lat','lon')).plot(size=6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note the above plot made use of an open-ended `slice` by specifying `None` as the second argument, which places no upper limit on the `slice` operation."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Update:</b> An operation which combines grid cells of different size is not scientifically valid unless each cell is weighted by the size of the grid cell. `xarray` has a convenient [weighted](https://xarray.pydata.org/en/stable/generated/xarray.DataArray.weighted.html) method to accomplish this"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First need to load the cell area data for this model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
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       "\n",
       ".xr-section-inline-details {\n",
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       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
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       "\n",
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       "  vertical-align: top;\n",
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       "  color: var(--xr-font-color3);\n",
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       "\n",
       ".xr-array-preview,\n",
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       "\n",
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       "  display: none;\n",
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       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
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       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
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       ".xr-var-data {\n",
       "  display: none;\n",
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       ".xr-var-data,\n",
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       ".xr-attrs,\n",
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       "\n",
       ".xr-attrs dt,\n",
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       "\n",
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       "\n",
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       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
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       "  fill: currentColor;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;areacella&#x27; (lat: 145, lon: 192)&gt;\n",
       "array([[7.900114e+07, 7.900114e+07, 7.900114e+07, ..., 7.900114e+07,\n",
       "        7.900114e+07, 7.900114e+07],\n",
       "       [6.319696e+08, 6.319696e+08, 6.319696e+08, ..., 6.319696e+08,\n",
       "        6.319696e+08, 6.319696e+08],\n",
       "       [1.263641e+09, 1.263641e+09, 1.263641e+09, ..., 1.263641e+09,\n",
       "        1.263641e+09, 1.263641e+09],\n",
       "       ...,\n",
       "       [1.263641e+09, 1.263641e+09, 1.263641e+09, ..., 1.263641e+09,\n",
       "        1.263641e+09, 1.263641e+09],\n",
       "       [6.319696e+08, 6.319696e+08, 6.319696e+08, ..., 6.319696e+08,\n",
       "        6.319696e+08, 6.319696e+08],\n",
       "       [7.900114e+07, 7.900114e+07, 7.900114e+07, ..., 7.900114e+07,\n",
       "        7.900114e+07, 7.900114e+07]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
       "Attributes:\n",
       "    standard_name:     cell_area\n",
       "    long_name:         Atmosphere Grid-Cell Area\n",
       "    units:             m2\n",
       "    history:           2012-03-28T03:37:56Z altered by CMOR: replaced missing...\n",
       "    associated_files:  baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'areacella'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9b542512-6665-4182-a7a2-fef388d1d369' class='xr-array-in' type='checkbox' checked><label for='section-9b542512-6665-4182-a7a2-fef388d1d369' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>7.9e+07 7.9e+07 7.9e+07 7.9e+07 ... 7.9e+07 7.9e+07 7.9e+07 7.9e+07</span></div><div class='xr-array-data'><pre>array([[7.900114e+07, 7.900114e+07, 7.900114e+07, ..., 7.900114e+07,\n",
       "        7.900114e+07, 7.900114e+07],\n",
       "       [6.319696e+08, 6.319696e+08, 6.319696e+08, ..., 6.319696e+08,\n",
       "        6.319696e+08, 6.319696e+08],\n",
       "       [1.263641e+09, 1.263641e+09, 1.263641e+09, ..., 1.263641e+09,\n",
       "        1.263641e+09, 1.263641e+09],\n",
       "       ...,\n",
       "       [1.263641e+09, 1.263641e+09, 1.263641e+09, ..., 1.263641e+09,\n",
       "        1.263641e+09, 1.263641e+09],\n",
       "       [6.319696e+08, 6.319696e+08, 6.319696e+08, ..., 6.319696e+08,\n",
       "        6.319696e+08, 6.319696e+08],\n",
       "       [7.900114e+07, 7.900114e+07, 7.900114e+07, ..., 7.900114e+07,\n",
       "        7.900114e+07, 7.900114e+07]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-6e420b05-6656-4733-bb40-932b27faaad9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6e420b05-6656-4733-bb40-932b27faaad9' class='xr-section-summary' >Coordinates: <span>(2)</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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-585dfb11-2440-4e5d-ac95-85bad839fab0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-585dfb11-2440-4e5d-ac95-85bad839fab0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eae37aef-901b-4c72-9a53-4385823d67b2' class='xr-var-data-in' type='checkbox'><label for='data-eae37aef-901b-4c72-9a53-4385823d67b2' 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>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
       "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
       "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
       "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
       "       -45.  , -43.75, -42.5 , -41.25, -40.  , -38.75, -37.5 , -36.25, -35.  ,\n",
       "       -33.75, -32.5 , -31.25, -30.  , -28.75, -27.5 , -26.25, -25.  , -23.75,\n",
       "       -22.5 , -21.25, -20.  , -18.75, -17.5 , -16.25, -15.  , -13.75, -12.5 ,\n",
       "       -11.25, -10.  ,  -8.75,  -7.5 ,  -6.25,  -5.  ,  -3.75,  -2.5 ,  -1.25,\n",
       "         0.  ,   1.25,   2.5 ,   3.75,   5.  ,   6.25,   7.5 ,   8.75,  10.  ,\n",
       "        11.25,  12.5 ,  13.75,  15.  ,  16.25,  17.5 ,  18.75,  20.  ,  21.25,\n",
       "        22.5 ,  23.75,  25.  ,  26.25,  27.5 ,  28.75,  30.  ,  31.25,  32.5 ,\n",
       "        33.75,  35.  ,  36.25,  37.5 ,  38.75,  40.  ,  41.25,  42.5 ,  43.75,\n",
       "        45.  ,  46.25,  47.5 ,  48.75,  50.  ,  51.25,  52.5 ,  53.75,  55.  ,\n",
       "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
       "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
       "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
       "        90.  ])</pre></div></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'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-3c920a18-452e-4319-a9e7-ec7f27204202' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c920a18-452e-4319-a9e7-ec7f27204202' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9602bf26-1019-4544-b9ec-98b5cd4c0e7c' class='xr-var-data-in' type='checkbox'><label for='data-9602bf26-1019-4544-b9ec-98b5cd4c0e7c' 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>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
       "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
       "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
       "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
       "        60.   ,  61.875,  63.75 ,  65.625,  67.5  ,  69.375,  71.25 ,  73.125,\n",
       "        75.   ,  76.875,  78.75 ,  80.625,  82.5  ,  84.375,  86.25 ,  88.125,\n",
       "        90.   ,  91.875,  93.75 ,  95.625,  97.5  ,  99.375, 101.25 , 103.125,\n",
       "       105.   , 106.875, 108.75 , 110.625, 112.5  , 114.375, 116.25 , 118.125,\n",
       "       120.   , 121.875, 123.75 , 125.625, 127.5  , 129.375, 131.25 , 133.125,\n",
       "       135.   , 136.875, 138.75 , 140.625, 142.5  , 144.375, 146.25 , 148.125,\n",
       "       150.   , 151.875, 153.75 , 155.625, 157.5  , 159.375, 161.25 , 163.125,\n",
       "       165.   , 166.875, 168.75 , 170.625, 172.5  , 174.375, 176.25 , 178.125,\n",
       "       180.   , 181.875, 183.75 , 185.625, 187.5  , 189.375, 191.25 , 193.125,\n",
       "       195.   , 196.875, 198.75 , 200.625, 202.5  , 204.375, 206.25 , 208.125,\n",
       "       210.   , 211.875, 213.75 , 215.625, 217.5  , 219.375, 221.25 , 223.125,\n",
       "       225.   , 226.875, 228.75 , 230.625, 232.5  , 234.375, 236.25 , 238.125,\n",
       "       240.   , 241.875, 243.75 , 245.625, 247.5  , 249.375, 251.25 , 253.125,\n",
       "       255.   , 256.875, 258.75 , 260.625, 262.5  , 264.375, 266.25 , 268.125,\n",
       "       270.   , 271.875, 273.75 , 275.625, 277.5  , 279.375, 281.25 , 283.125,\n",
       "       285.   , 286.875, 288.75 , 290.625, 292.5  , 294.375, 296.25 , 298.125,\n",
       "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
       "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
       "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-17bf5ca7-4218-41b6-b4fb-255d25a616f1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-17bf5ca7-4218-41b6-b4fb-255d25a616f1' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>cell_area</dd><dt><span>long_name :</span></dt><dd>Atmosphere Grid-Cell Area</dd><dt><span>units :</span></dt><dd>m2</dd><dt><span>history :</span></dt><dd>2012-03-28T03:37:56Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-3_historical_r0i0p0.nc</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'areacella' (lat: 145, lon: 192)>\n",
       "array([[7.900114e+07, 7.900114e+07, 7.900114e+07, ..., 7.900114e+07,\n",
       "        7.900114e+07, 7.900114e+07],\n",
       "       [6.319696e+08, 6.319696e+08, 6.319696e+08, ..., 6.319696e+08,\n",
       "        6.319696e+08, 6.319696e+08],\n",
       "       [1.263641e+09, 1.263641e+09, 1.263641e+09, ..., 1.263641e+09,\n",
       "        1.263641e+09, 1.263641e+09],\n",
       "       ...,\n",
       "       [1.263641e+09, 1.263641e+09, 1.263641e+09, ..., 1.263641e+09,\n",
       "        1.263641e+09, 1.263641e+09],\n",
       "       [6.319696e+08, 6.319696e+08, 6.319696e+08, ..., 6.319696e+08,\n",
       "        6.319696e+08, 6.319696e+08],\n",
       "       [7.900114e+07, 7.900114e+07, 7.900114e+07, ..., 7.900114e+07,\n",
       "        7.900114e+07, 7.900114e+07]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
       "Attributes:\n",
       "    standard_name:     cell_area\n",
       "    long_name:         Atmosphere Grid-Cell Area\n",
       "    units:             m2\n",
       "    history:           2012-03-28T03:37:56Z altered by CMOR: replaced missing...\n",
       "    associated_files:  baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation..."
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "areacella = xarray.open_dataset('http://dapds00.nci.org.au/thredds/dodsC/rr3/CMIP5/output1/CSIRO-BOM/ACCESS1-3/historical/fx/atmos/fx/r0i0p0/latest/areacella/areacella_fx_ACCESS1-3_historical_r0i0p0.nc').areacella\n",
    "areacella"
   ]
  },
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    "So, as before calculate the area weighted mean of the entire dataset in space and time. It is now 10 degrees higher, as expected, as the colder (and smaller) polar cells contribute proportionally less to the mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
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       "array(287.24357055)\n",
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       "    height   float64 1.5</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2d803642-51bf-4c4a-b2ea-6ca3701ff368' class='xr-array-in' type='checkbox' checked><label for='section-2d803642-51bf-4c4a-b2ea-6ca3701ff368' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>287.2</span></div><div class='xr-array-data'><pre>array(287.24357055)</pre></div></div></li><li class='xr-section-item'><input id='section-72d2b507-1d97-4b72-a1d1-e4c374f9a7b3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-72d2b507-1d97-4b72-a1d1-e4c374f9a7b3' class='xr-section-summary' >Coordinates: <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>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.5</div><input id='attrs-b9bf6e92-0830-41d9-b33c-f72e23a2b728' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9bf6e92-0830-41d9-b33c-f72e23a2b728' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-037399f9-8718-47bc-98c1-bcb665a93c61' class='xr-var-data-in' type='checkbox'><label for='data-037399f9-8718-47bc-98c1-bcb665a93c61' 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>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(1.5)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9ca4fd03-58c2-4650-b26b-597a90cb3e37' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9ca4fd03-58c2-4650-b26b-597a90cb3e37' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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     "execution_count": 12,
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   "source": [
    "tas.weighted(areacella).mean()"
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  },
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    "As above, the mean global anomaly should be weight by the cell area. Below the weighted and unweighted global mean time series are plotted in the same chart to show the area weighting has a significant effect"
   ]
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  {
   "cell_type": "code",
   "execution_count": 13,
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\n",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tas_anom.sel(time=slice('1960-01',None)).weighted(areacella).mean(dim=('lat','lon')).plot(size=6)\n",
    "tas_anom.sel(time=slice('1960-01',None)).mean(dim=('lat','lon')).plot()\n",
    "plt.legend(['weighted','unweighted'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:analysis3-20.10]",
   "language": "python",
   "name": "conda-env-analysis3-20.10-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}