using dask-distributed on keeling.ipynb

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   "source": [
    "# Using dask-distributed on keeling\n",
    "\n",
    "\n",
    "<div class=\"alert alert-block alert-success\">\n",
    "  1. Packages to install via <b>pip</b> or <b>conda</b>\n",
    "</div>\n",
    "\n",
    "- `dask`\n",
    "- `dask-distributed`\n",
    "- `ipywidgets`\n",
    "\n",
    "<div class=\"alert alert-block alert-warning\">\n",
    "  2. Other steps\n",
    "</div>\n",
    "\n",
    "Copy `/data/keeling/a/snesbitt/.config/dask/jobqueue.yaml` to your `$HOME/.config/dask/jobqueue.yaml`.\n",
    "\n",
    "## Notes\n",
    "Due to the configuration of keeling, you can either run on g or h nodes only.  This setup will only work on g nodes.  If you want to work on h nodes, then edit `$HOME/.config/dask/jobqueue.yaml` and change `g20` to `h20` under `job-extra:`. Don't try to use both, you will have issues with the network configuration.\n",
    "\n",
    "\n",
    "<div class=\"alert alert-info\">\n",
    "   3. Getting started\n",
    "</div>\n",
    "\n",
    "\n",
    "Start up your notebook on the keeling head node.  You may want to use the `screen` command to have a semi-permanent session running on there.  You can use `screen -r` to re-enter the session if you get disconnected.\n",
    "\n",
    "Start up a jupyter notebook session as normal on that session.\n",
    "\n",
    "`jupyter notebook --port=XXXX --ip=127.0.0.1 --no-browser`\n",
    "\n",
    "Then, ssh to keeling using that port:\n",
    "\n",
    "`ssh keeling.earth.illinois.edu -L XXXX:127.0.0.1:XXXX`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\">\n",
    "4. Coding using dask\n",
    "</div>\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from dask_jobqueue import SLURMCluster"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The configuration in `jobqueue.yaml` will use 20 cores on each `keeling` node by default."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " However we can setup our cluster directly using jupyter-notebook:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "cluster = SLURMCluster(\n",
    "                       queue=\"seseml\",\n",
    "                       memory='10GB',\n",
    "                       cores=10,\n",
    "                       processes=1,\n",
    "                       walltime='02:30:00',\n",
    "                       scheduler_options={\n",
    "                                          'host': '172.22.179.3:7222', \n",
    "                                          'dashboard_address': '7999',\n",
    "                                          },                        \n",
    "                      )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* queue: the nodes to use within Keeling (e.g., `'sesempi'`). To check wich queue to use you can check it by using `sinfo` in a keeling terminal\n",
    "* memory: ammount of RAM memory per job to allocate (e.g., `'10GB'`)\n",
    "* cores: number of cores per job to use (e.g., `'10'`).\n",
    "* processes: number of processess (jobs) to use (e.g., `'1'`)\n",
    "* walltime: maximum expected time to run the script. (e.g., `'02:30:00'`)\n",
    "* scheduler_options: dictionary with kwargs \n",
    "    * `'host': '172.22.179.3:ZZZZ'`\n",
    "    * `'dashboard_address': 'WWWW'`. This `'WWWW'` port will allow to see the dask-dashboard on your browser. It has to be also tunneled using `ssh keeling.earth.illinois.edu -L WWWW:127.0.0.1:WWWW`\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can scale our cluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "cluster.scale(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
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   "source": [
    "cluster"
   ]
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check wich nodes were assigned"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
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   "outputs": [
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             JOBID PARTITION     NAME     USER ST       TIME  NODES NODELIST(REASON)\n",
      "            590773    seseml dask-wor alfonso8  R       0:00      1 keeling-d01\n"
     ]
    }
   ],
   "source": [
    "%%bash\n",
    "squeue -u $USER"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from dask.distributed import Client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "client = Client(cluster)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
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       "    <div style=\"margin-left: 48px;\">\n",
       "        <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
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       "        <table style=\"width: 100%; text-align: left;\">\n",
       "\n",
       "        <tr>\n",
       "        \n",
       "            <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
       "            <td style=\"text-align: left;\"><strong>Cluster type:</strong> dask_jobqueue.SLURMCluster</td>\n",
       "        \n",
       "        </tr>\n",
       "\n",
       "        \n",
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       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Dashboard: </strong> <a href=\"http://172.22.179.3:7999/status\" target=\"_blank\">http://172.22.179.3:7999/status</a>\n",
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       "        \n",
       "            <details>\n",
       "            <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
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       "                    <strong>Workers:</strong> 0\n",
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       "                    <strong>Total threads:</strong> 0\n",
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       "                    <strong>Total memory:</strong> 0 B\n",
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       "        <details>\n",
       "            <summary style=\"margin-bottom: 20px;\">\n",
       "                <h3 style=\"display: inline;\">Scheduler Info</h3>\n",
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       "                        <strong>Comm:</strong> tcp://172.22.179.3:7222\n",
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       "                        <strong>Workers:</strong> 0\n",
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       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Dashboard:</strong> <a href=\"http://172.22.179.3:7999/status\" target=\"_blank\">http://172.22.179.3:7999/status</a>\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Total threads:</strong> 0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Started:</strong> Just now\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Total memory:</strong> 0 B\n",
       "                    </td>\n",
       "                </tr>\n",
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       "\n",
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       "        <summary style=\"margin-bottom: 20px;\">\n",
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       "<Client: 'tcp://172.22.179.3:7222' processes=0 threads=0, memory=0 B>"
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     "execution_count": 8,
     "metadata": {},
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   "source": [
    "client"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here is where you define the function for computation to map to the cluster."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "def slow_increment(x):\n",
    "    time.sleep(1)\n",
    "    return x + 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And here, let's map the jobs to the cluster.  This could be a file list or a range of numbers as here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "from dask.distributed import progress"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "futures = client.map(slow_increment,range(1000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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      "text/plain": [
       "VBox()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "progress(futures)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Can we speed it up? Let's scale up to 8 jobs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "cluster.scale(8)\n",
    "client = Client(cluster)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             JOBID PARTITION     NAME     USER ST       TIME  NODES NODELIST(REASON)\n",
      "            590774    seseml dask-wor alfonso8  R       0:00      1 keeling-c03\n",
      "            590775    seseml dask-wor alfonso8  R       0:00      1 keeling-g23\n",
      "            590776    seseml dask-wor alfonso8  R       0:00      1 keeling-g24\n",
      "            590777    seseml dask-wor alfonso8  R       0:00      1 keeling-g01\n",
      "            590778    seseml dask-wor alfonso8  R       0:00      1 keeling-g02\n",
      "            590779    seseml dask-wor alfonso8  R       0:00      1 keeling-g03\n",
      "            590780    seseml dask-wor alfonso8  R       0:00      1 keeling-g04\n",
      "            590773    seseml dask-wor alfonso8  R       1:59      1 keeling-d01\n"
     ]
    }
   ],
   "source": [
    "%%bash\n",
    "squeue -u $USER"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
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       "VBox()"
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   "source": [
    "futures = client.map(slow_increment,range(1000))\n",
    "progress(futures)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dask-distributed functionalities:\n",
    "\n",
    "- [Dask DataFrame](https://docs.dask.org/en/latest/dataframe.html) to work with large Pandas dataframe\n",
    "- [Dask Array](https://docs.dask.org/en/latest/array.html) mimics Numpy arrays\n",
    "- [Dask Bag](https://docs.dask.org/en/latest/bag.html) mimics iterators, Toolz, and PySpark \n",
    "- [Dask Delayed](https://docs.dask.org/en/latest/delayed.html) mimics for loops and wraps custom code\n",
    "- [Dask concurrent.futures](https://docs.dask.org/en/latest/futures.html) interface provides general submission of custom tasks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\">\n",
    "5. Xarray and Dask\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Sample dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (lat: 25, time: 2920, lon: 53)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
       "Data variables:\n",
       "    air      (time, lat, lon) float32 dask.array&lt;chunksize=(2920, 25, 25), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    Conventions:  COARDS\n",
       "    title:        4x daily NMC reanalysis (1948)\n",
       "    description:  Data is from NMC initialized reanalysis\\n(4x/day).  These a...\n",
       "    platform:     Model\n",
       "    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' hidden><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-0997200b-f783-47ca-8e0f-cac93cdd6b8f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0997200b-f783-47ca-8e0f-cac93cdd6b8f' 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>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-71d76d11-543c-4541-8743-a1f988497cf4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-71d76d11-543c-4541-8743-a1f988497cf4' 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'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-2f7b53cf-0c01-4a53-897a-2bc6d7f5e434' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f7b53cf-0c01-4a53-897a-2bc6d7f5e434' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dccd0919-bedc-4e55-9d71-6130057784d8' class='xr-var-data-in' type='checkbox'><label for='data-dccd0919-bedc-4e55-9d71-6130057784d8' 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><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,\n",
       "       45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,\n",
       "       15. ], dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-dec53c8c-8e6b-4668-8954-977d12b50e24' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dec53c8c-8e6b-4668-8954-977d12b50e24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e788987-85d2-418c-b33a-9b31a8d174ac' class='xr-var-data-in' type='checkbox'><label for='data-2e788987-85d2-418c-b33a-9b31a8d174ac' 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><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. ], dtype=float32)</pre></div></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'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-9532685e-fc35-42ac-a2e1-af724f063bcb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9532685e-fc35-42ac-a2e1-af724f063bcb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b9d5b48-7504-4e0a-b7ff-70ca5c5bcd27' class='xr-var-data-in' type='checkbox'><label for='data-3b9d5b48-7504-4e0a-b7ff-70ca5c5bcd27' 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>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,\n",
       "       &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,\n",
       "       &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-86cfbee0-8dd5-4c2d-96a5-42da430dcdf3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-86cfbee0-8dd5-4c2d-96a5-42da430dcdf3' 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>air</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=(2920, 25, 25), meta=np.ndarray&gt;</div><input id='attrs-38d77bb9-2a53-4c55-bdbc-0dffbfcbe7c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38d77bb9-2a53-4c55-bdbc-0dffbfcbe7c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8e22f60-01b6-4e96-9f56-f3ae251f76b4' class='xr-var-data-in' type='checkbox'><label for='data-b8e22f60-01b6-4e96-9f56-f3ae251f76b4' 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>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><table>\n",
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       "  <text x=\"35.294118\" y=\"80.706734\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,35.294118,80.706734)\">2920</text>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-357dde08-8ac3-4663-871d-fe956dca9c6d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-357dde08-8ac3-4663-871d-fe956dca9c6d' 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>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis\n",
       "(4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 25, time: 2920, lon: 53)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
       "Data variables:\n",
       "    air      (time, lat, lon) float32 dask.array<chunksize=(2920, 25, 25), meta=np.ndarray>\n",
       "Attributes:\n",
       "    Conventions:  COARDS\n",
       "    title:        4x daily NMC reanalysis (1948)\n",
       "    description:  Data is from NMC initialized reanalysis\\n(4x/day).  These a...\n",
       "    platform:     Model\n",
       "    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly..."
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = xr.tutorial.open_dataset('air_temperature',\n",
    "                              chunks={'lat': 25, 'lon': 25, 'time': -1})\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
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       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
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       "Attributes:\n",
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       "    GRIB_id:       11\n",
       "    GRIB_name:     TMP\n",
       "    var_desc:      Air temperature\n",
       "    dataset:       NMC Reanalysis\n",
       "    level_desc:    Surface\n",
       "    statistic:     Individual Obs\n",
       "    parent_stat:   Other\n",
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       "</table></div></div></li><li class='xr-section-item'><input id='section-aff98efa-cfd7-4822-8aac-c5f313f930d6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-aff98efa-cfd7-4822-8aac-c5f313f930d6' 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'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-7bb351f0-2c41-4351-ab47-be9777bfe8a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7bb351f0-2c41-4351-ab47-be9777bfe8a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6efb42c2-3572-44ee-8271-cbe4982913a4' class='xr-var-data-in' type='checkbox'><label for='data-6efb42c2-3572-44ee-8271-cbe4982913a4' 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><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,\n",
       "       45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,\n",
       "       15. ], dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-0ecb73bc-d757-4de2-b6ba-ca62eeafb990' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ecb73bc-d757-4de2-b6ba-ca62eeafb990' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2f25991-5929-45ef-9b6d-616c3ee8439d' class='xr-var-data-in' type='checkbox'><label for='data-c2f25991-5929-45ef-9b6d-616c3ee8439d' 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><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. ], dtype=float32)</pre></div></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'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-ecb28a31-2ced-4255-9069-8a3f82e08411' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ecb28a31-2ced-4255-9069-8a3f82e08411' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81580f69-3e58-4455-b5bc-041b997bf4b0' class='xr-var-data-in' type='checkbox'><label for='data-81580f69-3e58-4455-b5bc-041b997bf4b0' 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>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,\n",
       "       &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,\n",
       "       &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b85bc4a5-57b8-4003-8842-b9edb6548701' class='xr-section-summary-in' type='checkbox'  ><label for='section-b85bc4a5-57b8-4003-8842-b9edb6548701' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'air' (time: 2920, lat: 25, lon: 53)>\n",
       "dask.array<open_dataset-4a2519ce8022936dba1aa9f520ec417dair, shape=(2920, 25, 53), dtype=float32, chunksize=(2920, 25, 25), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
       "Attributes:\n",
       "    long_name:     4xDaily Air temperature at sigma level 995\n",
       "    units:         degK\n",
       "    precision:     2\n",
       "    GRIB_id:       11\n",
       "    GRIB_name:     TMP\n",
       "    var_desc:      Air temperature\n",
       "    dataset:       NMC Reanalysis\n",
       "    level_desc:    Surface\n",
       "    statistic:     Individual Obs\n",
       "    parent_stat:   Other\n",
       "    actual_range:  [185.16 322.1 ]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Selecting the air datarray\n",
    "da = ds['air'] \n",
    "da"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# computing the monthly mean\n",
    "da2 = da.groupby('time.month').mean('time')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# computing the anomaly\n",
    "da3 = da - da2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
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       "       45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,\n",
       "       15. ], dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-f6dca519-5050-4942-a256-b51e7f389e7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6dca519-5050-4942-a256-b51e7f389e7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4741886b-166e-4ae3-814e-edfbb6b995ba' class='xr-var-data-in' type='checkbox'><label for='data-4741886b-166e-4ae3-814e-edfbb6b995ba' 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><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. ], dtype=float32)</pre></div></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'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-138c9ad5-0f88-4ff0-8de9-5b0ae58dbb22' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-138c9ad5-0f88-4ff0-8de9-5b0ae58dbb22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e71d1cc-1a58-42a8-95ac-903b19074c46' class='xr-var-data-in' type='checkbox'><label for='data-7e71d1cc-1a58-42a8-95ac-903b19074c46' 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>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,\n",
       "       &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,\n",
       "       &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#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'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-9257b907-dd5b-486a-a375-c765ce9850ae' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9257b907-dd5b-486a-a375-c765ce9850ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfd0a152-2c95-4079-914d-b1654206873a' class='xr-var-data-in' type='checkbox'><label for='data-bfd0a152-2c95-4079-914d-b1654206873a' 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'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e35a47c9-af25-4abf-8d56-398e04d89521' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e35a47c9-af25-4abf-8d56-398e04d89521' 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 'air' (time: 2920, lat: 25, lon: 53, month: 12)>\n",
       "dask.array<sub, shape=(2920, 25, 53, 12), dtype=float32, chunksize=(2920, 25, 25, 1), chunktype=numpy.ndarray>\n",
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       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
       "  * month    (month) int64 1 2 3 4 5 6 7 8 9 10 11 12"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# this is a lazy dataset, computation must be performed\n",
    "da3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
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       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\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",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".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;air&#x27; (time: 2920, lat: 25, lon: 53, month: 12)&gt;\n",
       "array([[[[-5.14987183e+00, -5.47715759e+00, -9.83168030e+00, ...,\n",
       "          -2.06136017e+01, -1.25448456e+01, -6.77099609e+00],\n",
       "         [-3.88607788e+00, -3.90576172e+00, -8.17987061e+00, ...,\n",
       "          -1.87125549e+01, -1.11448669e+01, -5.52117920e+00],\n",
       "         [-2.71517944e+00, -2.44839478e+00, -6.68945312e+00, ...,\n",
       "          -1.70036011e+01, -9.99716187e+00, -4.41302490e+00],\n",
       "         ...,\n",
       "         [-1.02611389e+01, -9.05839539e+00, -9.39399719e+00, ...,\n",
       "          -1.53933716e+01, -1.01606750e+01, -6.97190857e+00],\n",
       "         [-8.58795166e+00, -7.50210571e+00, -7.61483765e+00, ...,\n",
       "          -1.35699463e+01, -8.43449402e+00, -5.52383423e+00],\n",
       "         [-7.04670715e+00, -5.84384155e+00, -5.70956421e+00, ...,\n",
       "          -1.18162537e+01, -6.54209900e+00, -4.02824402e+00]],\n",
       "\n",
       "        [[-5.05761719e+00, -4.00010681e+00, -9.17195129e+00, ...,\n",
       "          -2.52222595e+01, -1.53296814e+01, -5.93362427e+00],\n",
       "         [-4.40733337e+00, -3.25991821e+00, -8.36616516e+00, ...,\n",
       "          -2.44294434e+01, -1.41292725e+01, -5.66036987e+00],\n",
       "         [-4.01040649e+00, -2.77757263e+00, -7.87347412e+00, ...,\n",
       "          -2.40147858e+01, -1.34914398e+01, -5.78581238e+00],\n",
       "...\n",
       "          -3.56890869e+00, -2.47412109e+00, -1.16558838e+00],\n",
       "         [ 6.08795166e-01,  1.47219849e+00,  1.11965942e+00, ...,\n",
       "          -3.59872437e+00, -2.50396729e+00, -1.15667725e+00],\n",
       "         [ 6.59942627e-01,  1.48742676e+00,  1.03787231e+00, ...,\n",
       "          -3.84628296e+00, -2.71829224e+00, -1.33132935e+00]],\n",
       "\n",
       "        [[ 5.35827637e-01,  4.01092529e-01,  3.08258057e-01, ...,\n",
       "          -1.68054199e+00, -1.12142944e+00, -1.90887451e-01],\n",
       "         [ 8.51684570e-01,  8.73504639e-01,  6.26892090e-01, ...,\n",
       "          -1.33462524e+00, -7.66601562e-01,  1.03210449e-01],\n",
       "         [ 1.04107666e+00,  1.23202515e+00,  8.63311768e-01, ...,\n",
       "          -1.06607056e+00, -5.31036377e-01,  3.14453125e-01],\n",
       "         ...,\n",
       "         [ 4.72015381e-01,  1.32940674e+00,  1.15509033e+00, ...,\n",
       "          -3.23403931e+00, -2.23956299e+00, -1.11035156e+00],\n",
       "         [ 4.14459229e-01,  1.23419189e+00,  1.07876587e+00, ...,\n",
       "          -3.47311401e+00, -2.56188965e+00, -1.37548828e+00],\n",
       "         [ 5.35278320e-02,  8.10333252e-01,  6.73461914e-01, ...,\n",
       "          -4.07232666e+00, -3.12890625e+00, -1.84762573e+00]]]],\n",
       "      dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
       "  * month    (month) int64 1 2 3 4 5 6 7 8 9 10 11 12</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li><li><span class='xr-has-index'>month</span>: 12</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d3e2b382-ed5e-4448-91a3-a8606837e8ca' class='xr-array-in' type='checkbox' checked><label for='section-d3e2b382-ed5e-4448-91a3-a8606837e8ca' 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>-5.15 -5.477 -9.832 -16.44 -26.68 ... -4.14 -4.072 -3.129 -1.848</span></div><div class='xr-array-data'><pre>array([[[[-5.14987183e+00, -5.47715759e+00, -9.83168030e+00, ...,\n",
       "          -2.06136017e+01, -1.25448456e+01, -6.77099609e+00],\n",
       "         [-3.88607788e+00, -3.90576172e+00, -8.17987061e+00, ...,\n",
       "          -1.87125549e+01, -1.11448669e+01, -5.52117920e+00],\n",
       "         [-2.71517944e+00, -2.44839478e+00, -6.68945312e+00, ...,\n",
       "          -1.70036011e+01, -9.99716187e+00, -4.41302490e+00],\n",
       "         ...,\n",
       "         [-1.02611389e+01, -9.05839539e+00, -9.39399719e+00, ...,\n",
       "          -1.53933716e+01, -1.01606750e+01, -6.97190857e+00],\n",
       "         [-8.58795166e+00, -7.50210571e+00, -7.61483765e+00, ...,\n",
       "          -1.35699463e+01, -8.43449402e+00, -5.52383423e+00],\n",
       "         [-7.04670715e+00, -5.84384155e+00, -5.70956421e+00, ...,\n",
       "          -1.18162537e+01, -6.54209900e+00, -4.02824402e+00]],\n",
       "\n",
       "        [[-5.05761719e+00, -4.00010681e+00, -9.17195129e+00, ...,\n",
       "          -2.52222595e+01, -1.53296814e+01, -5.93362427e+00],\n",
       "         [-4.40733337e+00, -3.25991821e+00, -8.36616516e+00, ...,\n",
       "          -2.44294434e+01, -1.41292725e+01, -5.66036987e+00],\n",
       "         [-4.01040649e+00, -2.77757263e+00, -7.87347412e+00, ...,\n",
       "          -2.40147858e+01, -1.34914398e+01, -5.78581238e+00],\n",
       "...\n",
       "          -3.56890869e+00, -2.47412109e+00, -1.16558838e+00],\n",
       "         [ 6.08795166e-01,  1.47219849e+00,  1.11965942e+00, ...,\n",
       "          -3.59872437e+00, -2.50396729e+00, -1.15667725e+00],\n",
       "         [ 6.59942627e-01,  1.48742676e+00,  1.03787231e+00, ...,\n",
       "          -3.84628296e+00, -2.71829224e+00, -1.33132935e+00]],\n",
       "\n",
       "        [[ 5.35827637e-01,  4.01092529e-01,  3.08258057e-01, ...,\n",
       "          -1.68054199e+00, -1.12142944e+00, -1.90887451e-01],\n",
       "         [ 8.51684570e-01,  8.73504639e-01,  6.26892090e-01, ...,\n",
       "          -1.33462524e+00, -7.66601562e-01,  1.03210449e-01],\n",
       "         [ 1.04107666e+00,  1.23202515e+00,  8.63311768e-01, ...,\n",
       "          -1.06607056e+00, -5.31036377e-01,  3.14453125e-01],\n",
       "         ...,\n",
       "         [ 4.72015381e-01,  1.32940674e+00,  1.15509033e+00, ...,\n",
       "          -3.23403931e+00, -2.23956299e+00, -1.11035156e+00],\n",
       "         [ 4.14459229e-01,  1.23419189e+00,  1.07876587e+00, ...,\n",
       "          -3.47311401e+00, -2.56188965e+00, -1.37548828e+00],\n",
       "         [ 5.35278320e-02,  8.10333252e-01,  6.73461914e-01, ...,\n",
       "          -4.07232666e+00, -3.12890625e+00, -1.84762573e+00]]]],\n",
       "      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-a0ef323e-10da-416c-8447-9437864f99cc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a0ef323e-10da-416c-8447-9437864f99cc' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-7f716345-6de9-45f7-8ac3-7f94deb598d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f716345-6de9-45f7-8ac3-7f94deb598d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41721c5c-5cf1-460f-b6b8-fd66a9e218cb' class='xr-var-data-in' type='checkbox'><label for='data-41721c5c-5cf1-460f-b6b8-fd66a9e218cb' 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><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,\n",
       "       45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,\n",
       "       15. ], dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-9623f003-fcd3-403a-8bdf-684e3bac78eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9623f003-fcd3-403a-8bdf-684e3bac78eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c3d322c-6929-4c5c-af1e-714b5431c8b7' class='xr-var-data-in' type='checkbox'><label for='data-1c3d322c-6929-4c5c-af1e-714b5431c8b7' 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><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. ], dtype=float32)</pre></div></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'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-1b4624b0-6cef-4ecf-a2cc-927034012322' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b4624b0-6cef-4ecf-a2cc-927034012322' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13af244e-67a6-4b7a-965d-f1eb4ca10307' class='xr-var-data-in' type='checkbox'><label for='data-13af244e-67a6-4b7a-965d-f1eb4ca10307' 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>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,\n",
       "       &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,\n",
       "       &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#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'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-1e51b3f9-bec2-4b37-a86f-9b9dd2a6b92c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1e51b3f9-bec2-4b37-a86f-9b9dd2a6b92c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26f63b7f-cb03-44ce-acd6-1f4cca3ec2c9' class='xr-var-data-in' type='checkbox'><label for='data-26f63b7f-cb03-44ce-acd6-1f4cca3ec2c9' 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'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ec60e40a-30c7-4a4c-bcfe-160d30592fdd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ec60e40a-30c7-4a4c-bcfe-160d30592fdd' 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 'air' (time: 2920, lat: 25, lon: 53, month: 12)>\n",
       "array([[[[-5.14987183e+00, -5.47715759e+00, -9.83168030e+00, ...,\n",
       "          -2.06136017e+01, -1.25448456e+01, -6.77099609e+00],\n",
       "         [-3.88607788e+00, -3.90576172e+00, -8.17987061e+00, ...,\n",
       "          -1.87125549e+01, -1.11448669e+01, -5.52117920e+00],\n",
       "         [-2.71517944e+00, -2.44839478e+00, -6.68945312e+00, ...,\n",
       "          -1.70036011e+01, -9.99716187e+00, -4.41302490e+00],\n",
       "         ...,\n",
       "         [-1.02611389e+01, -9.05839539e+00, -9.39399719e+00, ...,\n",
       "          -1.53933716e+01, -1.01606750e+01, -6.97190857e+00],\n",
       "         [-8.58795166e+00, -7.50210571e+00, -7.61483765e+00, ...,\n",
       "          -1.35699463e+01, -8.43449402e+00, -5.52383423e+00],\n",
       "         [-7.04670715e+00, -5.84384155e+00, -5.70956421e+00, ...,\n",
       "          -1.18162537e+01, -6.54209900e+00, -4.02824402e+00]],\n",
       "\n",
       "        [[-5.05761719e+00, -4.00010681e+00, -9.17195129e+00, ...,\n",
       "          -2.52222595e+01, -1.53296814e+01, -5.93362427e+00],\n",
       "         [-4.40733337e+00, -3.25991821e+00, -8.36616516e+00, ...,\n",
       "          -2.44294434e+01, -1.41292725e+01, -5.66036987e+00],\n",
       "         [-4.01040649e+00, -2.77757263e+00, -7.87347412e+00, ...,\n",
       "          -2.40147858e+01, -1.34914398e+01, -5.78581238e+00],\n",
       "...\n",
       "          -3.56890869e+00, -2.47412109e+00, -1.16558838e+00],\n",
       "         [ 6.08795166e-01,  1.47219849e+00,  1.11965942e+00, ...,\n",
       "          -3.59872437e+00, -2.50396729e+00, -1.15667725e+00],\n",
       "         [ 6.59942627e-01,  1.48742676e+00,  1.03787231e+00, ...,\n",
       "          -3.84628296e+00, -2.71829224e+00, -1.33132935e+00]],\n",
       "\n",
       "        [[ 5.35827637e-01,  4.01092529e-01,  3.08258057e-01, ...,\n",
       "          -1.68054199e+00, -1.12142944e+00, -1.90887451e-01],\n",
       "         [ 8.51684570e-01,  8.73504639e-01,  6.26892090e-01, ...,\n",
       "          -1.33462524e+00, -7.66601562e-01,  1.03210449e-01],\n",
       "         [ 1.04107666e+00,  1.23202515e+00,  8.63311768e-01, ...,\n",
       "          -1.06607056e+00, -5.31036377e-01,  3.14453125e-01],\n",
       "         ...,\n",
       "         [ 4.72015381e-01,  1.32940674e+00,  1.15509033e+00, ...,\n",
       "          -3.23403931e+00, -2.23956299e+00, -1.11035156e+00],\n",
       "         [ 4.14459229e-01,  1.23419189e+00,  1.07876587e+00, ...,\n",
       "          -3.47311401e+00, -2.56188965e+00, -1.37548828e+00],\n",
       "         [ 5.35278320e-02,  8.10333252e-01,  6.73461914e-01, ...,\n",
       "          -4.07232666e+00, -3.12890625e+00, -1.84762573e+00]]]],\n",
       "      dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
       "  * month    (month) int64 1 2 3 4 5 6 7 8 9 10 11 12"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Dask and xarray will use the already setup cluster to compute da3\n",
    "# To check dask-dashboard status you can use http://127.0.0.1:WWWW/ in your browser after tuneling the WWWW port\n",
    "da3.compute()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2ad113720760>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting data \n",
    "da.resample(time='1w').mean('time').std('time').load().plot(figsize=(12, 8))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\">\n",
    "5. Finally, client and cluster must be closed. \n",
    "</div>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "client.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "distributed.client - ERROR - Failed to reconnect to scheduler after 30.00 seconds, closing client\n",
      "_GatheringFuture exception was never retrieved\n",
      "future: <_GatheringFuture finished exception=CancelledError()>\n",
      "asyncio.exceptions.CancelledError\n"
     ]
    }
   ],
   "source": [
    "cluster.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}