{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dask example\n",
    "\n",
    "*This material is adapted from the [Dask tutorial documentation](https://tutorial.dask.org/00_overview.html) and the [Earth and Environmental Data Science](https://earth-env-data-science.github.io/intro.html) website.*\n",
    "\n",
    "\n",
    ":::{note}\n",
    "A **Dask array** looks and feels a lot like a `Numpy` array.\n",
    ":::\n",
    "\n",
    "However, a dask array doesn't directly hold any data. Instead, it *symbolically* represents the computations needed to generate the data.\n",
    "\n",
    "Nothing is actually computed until the actual numerical values are needed. This mode of operation is called **\"lazy\"**; it allows one to build up complex, large calculations symbolically before turning them over the scheduler for execution.\n",
    "\n",
    "If we want to create a `Numpy` array of all ones, we do it like this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       ...,\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.]])"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "shape = (1000, 4000)\n",
    "ones_np = np.ones(shape)\n",
    "ones_np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This array contains exactly 32 MB of data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "32.0"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ones_np.nbytes / 1e6"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's create the same array using dask's array interface."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 32.00 MB </td> <td> 32.00 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (1000, 4000) </td> <td> (1000, 4000) </td></tr>\n",
       "    <tr><th> Count </th><td> 1 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"92\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"42\" x2=\"120\" y2=\"42\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"42\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"42\" style=\"stroke-width:2\" />\n",
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       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "dask.array<ones, shape=(1000, 4000), dtype=float64, chunksize=(1000, 4000), chunktype=numpy.ndarray>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import dask.array as da\n",
    "\n",
    "ones = da.ones(shape)\n",
    "ones"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dask array representation reveals the concept of **\"chunks\"**. \n",
    "\n",
    ":::{note}\n",
    "**\"Chunks\"** describes how the array is split into sub-arrays. We did not specify any chunks, so **Dask** just used one single chunk for the array. This is not much different from a Numpy array at this point.\n",
    ":::\n",
    "\n",
    "## Specifying Chunks\n",
    "\n",
    "However, we could have split up the array into many chunks.\n",
    "\n",
    "![Dask Arrays](http://dask.pydata.org/en/latest/_images/dask-array-black-text.svg)\n",
    "_source: [Dask Array Documentation](http://dask.pydata.org/en/latest/array-overview.html)_\n",
    "\n",
    "There are [several ways to specify chunks](http://dask.pydata.org/en/latest/array-creation.html#chunks).\n",
    "\n",
    "Here, we will use a block shape."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 32.00 MB </td> <td> 8.00 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (1000, 4000) </td> <td> (1000, 1000) </td></tr>\n",
       "    <tr><th> Count </th><td> 4 Tasks </td><td> 4 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"92\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
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       "  <line x1=\"0\" y1=\"42\" x2=\"120\" y2=\"42\" style=\"stroke-width:2\" />\n",
       "\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"42\" style=\"stroke-width:2\" />\n",
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       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"42\" style=\"stroke-width:2\" />\n",
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       "  <text x=\"60.000000\" y=\"62.898796\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4000</text>\n",
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       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "dask.array<ones, shape=(1000, 4000), dtype=float64, chunksize=(1000, 1000), chunktype=numpy.ndarray>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chunk_shape = (1000, 1000)\n",
    "ones = da.ones(shape, chunks=chunk_shape)\n",
    "ones"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notice that we just see a symbolic representation of the array, including its:\n",
    "- shape, \n",
    "- dtype, and \n",
    "- chunksize.\n",
    "\n",
    "No data has been generated yet.\n",
    "\n",
    "When we call `.compute()` on a Dask array, the computation is trigger and the Dask array becomes a Numpy array."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       ...,\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.]])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ones.compute()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In order to understand what happened when we called `.compute()`, we can visualize the Dask _graph_, the symbolic operations that make up the array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ones.visualize()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our array has four chunks. To generate it, dask calls `np.ones` four times and then concatenates this together into one array.\n",
    "\n",
    "Rather than immediately loading a dask array (which puts all the data into RAM), it is more common to want to reduce the data somehow. For example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum_of_ones = ones.sum()\n",
    "sum_of_ones.visualize()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we see Dask's strategy for finding the sum. \n",
    "\n",
    "This simple example illustrates the beauty of Dask: **it automatically designs an algorithm appropriate for custom operations with big data.** \n",
    "\n",
    "If we make our operation more complex, the graph gets more complex."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fancy_calculation = (ones * ones[::-1, ::-1]).mean()\n",
    "fancy_calculation.visualize()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## A Bigger Calculation\n",
    "\n",
    "The examples above were toy examples; the data (32 MB) is nowhere nearly big enough to warrant the use of dask.\n",
    "\n",
    "We can make it a lot bigger!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 6.40 GB </td> <td> 8.00 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (200000, 4000) </td> <td> (1000, 1000) </td></tr>\n",
       "    <tr><th> Count </th><td> 800 Tasks </td><td> 800 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
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       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "dask.array<ones, shape=(200000, 4000), dtype=float64, chunksize=(1000, 1000), chunktype=numpy.ndarray>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigshape = (200000, 4000)\n",
    "\n",
    "big_ones = da.ones(bigshape, chunks=chunk_shape)\n",
    "big_ones"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6400.0"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "big_ones.nbytes / 1e6"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This dataset is 6.4 GB, rather MB! This is probably close to or greater than the amount of available RAM than you have in your computer. Nevertheless, Dask has no problem working on it.\n",
    "\n",
    ":::{danger}\n",
    "Do not try to `.visualize()` this array!\n",
    ":::\n",
    "\n",
    "When doing a big calculation, Dask also has some tools to help us understand what is happening under the hood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[########################################] | 100% Completed |  1.5s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from dask.diagnostics import ProgressBar\n",
    "\n",
    "big_calc = (big_ones * big_ones[::-1, ::-1]).mean()\n",
    "\n",
    "with ProgressBar():\n",
    "    result = big_calc.compute()\n",
    "result"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Reduction \n",
    "\n",
    "All the usual `Numpy` methods work on Dask arrays.\n",
    "\n",
    "You can also apply numpy function directly to a Dask array, and it will stay lazy."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 32.00 kB </td> <td> 8.00 kB </td></tr>\n",
       "    <tr><th> Shape </th><td> (4000,) </td> <td> (1000,) </td></tr>\n",
       "    <tr><th> Count </th><td> 3472 Tasks </td><td> 4 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
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       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"25\" />\n",
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       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "dask.array<mean_agg-aggregate, shape=(4000,), dtype=float64, chunksize=(1000,), chunktype=numpy.ndarray>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "big_ones_reduce = (np.cos(big_ones)**2).mean(axis=0)\n",
    "big_ones_reduce"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plotting also triggers computation, since we need the actual values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (9,8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fc9c0d289d0>]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(big_ones_reduce)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Distributed Cluster\n",
    "\n",
    "For more fancy visualization of what Dask is doing, we can use the [distributed scheduler](https://distributed.readthedocs.io/en/latest/).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table style=\"border: 2px solid white;\">\n",
       "<tr>\n",
       "<td style=\"vertical-align: top; border: 0px solid white\">\n",
       "<h3 style=\"text-align: left;\">Client</h3>\n",
       "<ul style=\"text-align: left; list-style: none; margin: 0; padding: 0;\">\n",
       "  <li><b>Scheduler: </b>tcp://127.0.0.1:59477</li>\n",
       "  <li><b>Dashboard: </b><a href='http://127.0.0.1:8787/status' target='_blank'>http://127.0.0.1:8787/status</a></li>\n",
       "</ul>\n",
       "</td>\n",
       "<td style=\"vertical-align: top; border: 0px solid white\">\n",
       "<h3 style=\"text-align: left;\">Cluster</h3>\n",
       "<ul style=\"text-align: left; list-style:none; margin: 0; padding: 0;\">\n",
       "  <li><b>Workers: </b>4</li>\n",
       "  <li><b>Cores: </b>16</li>\n",
       "  <li><b>Memory: </b>34.36 GB</li>\n",
       "</ul>\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Client: 'tcp://127.0.0.1:59477' processes=4 threads=16, memory=34.36 GB>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from dask.distributed import Client, LocalCluster\n",
    "cluster = LocalCluster()\n",
    "client = Client(cluster)\n",
    "client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "big_calc.compute()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "random_values = da.random.normal(size=(2e8,), chunks=(1e6,))\n",
    "hist, bins = da.histogram(random_values, bins=100, range=[-5, 5]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 800 B </td> <td> 800 B </td></tr>\n",
       "    <tr><th> Shape </th><td> (100,) </td> <td> (100,) </td></tr>\n",
       "    <tr><th> Count </th><td> 668 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> int64 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >100</text>\n",
       "  <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">1</text>\n",
       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "dask.array<sum-aggregate, shape=(100,), dtype=int64, chunksize=(100,), chunktype=numpy.ndarray>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 648x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = 0.5 * (bins[1:] + bins[:-1])\n",
    "width = np.diff(bins)\n",
    "hist_c = hist.compute()\n",
    "plt.bar(x, hist_c, width);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dask + XArray\n",
    "\n",
    ":::{important}\n",
    "Everything has been commented below to speed-up the `Jupyter-book` creation!\n",
    ":::\n",
    "\n",
    "`Xarray` can automatically wrap its data in Dask arrays.\n",
    "\n",
    "\n",
    "**This capability turns Xarray into an extremely powerful tool for Big Data Environmental science!!!**\n",
    "\n",
    "To see this in action, we will download a fairly large dataset to analyze. \n",
    "\n",
    "This file contains 1 year of daily data from the [AVISO](http://www.aviso.oceanobs.com/en/data/products/index.html) sea-surface height satellite altimetry dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2021-03-18 09:08:49--  http://www.ldeo.columbia.edu/~rpa/aviso_madt_2015.tar.gz\n",
      "Resolving www.ldeo.columbia.edu... 129.236.14.15\n",
      "Connecting to www.ldeo.columbia.edu|129.236.14.15|:80... connected.\n",
      "HTTP request sent, awaiting response... 302 Found\n",
      "Location: https://www.ldeo.columbia.edu/~rpa/aviso_madt_2015.tar.gz [following]\n",
      "--2021-03-18 09:08:51--  https://www.ldeo.columbia.edu/~rpa/aviso_madt_2015.tar.gz\n",
      "Connecting to www.ldeo.columbia.edu|129.236.14.15|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 494834680 (472M) [application/x-gzip]\n",
      "Saving to: 'aviso_madt_2015.tar.gz'\n",
      "\n",
      "aviso_madt_2015.tar 100%[===================>] 471.91M  8.31MB/s    in 65s     \n",
      "\n",
      "2021-03-18 09:09:57 (7.23 MB/s) - 'aviso_madt_2015.tar.gz' saved [494834680/494834680]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#! wget http://www.ldeo.columbia.edu/~rpa/aviso_madt_2015.tar.gz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x 2015/\n",
      "x 2015/dt_global_allsat_madt_h_20150409_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150406_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150704_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150223_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151220_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150912_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150607_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150320_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150608_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150512_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151029_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150618_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150502_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151026_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150330_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150617_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150826_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150416_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150829_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150419_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150126_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151230_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151125_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150129_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150714_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150310_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151006_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150522_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151009_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150922_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150905_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150213_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150109_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151105_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151210_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150106_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150809_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150806_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150116_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150203_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151115_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150119_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150724_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150816_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150819_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151019_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150628_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151016_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150627_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150615_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151024_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150824_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150414_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150716_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151127_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150719_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150124_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151128_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150404_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151222_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150709_20160128.nc\n",
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      "x 2015/dt_global_allsat_madt_h_20150705_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151106_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150210_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151109_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150105_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151213_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150805_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151005_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150313_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150521_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150921_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150909_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150906_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150531_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151015_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150303_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150624_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150115_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151119_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151203_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150728_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151116_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150727_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150815_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150604_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150323_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150511_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150405_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150707_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150220_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150708_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151223_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150415_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150825_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150125_20150914.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151129_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150718_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151126_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150717_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150501_20160128.nc\n",
      "x 2015/dt_global_allsat_madt_h_20151025_20160610.nc\n",
      "x 2015/dt_global_allsat_madt_h_20150614_20160128.nc\n"
     ]
    }
   ],
   "source": [
    "#! tar -xvzf aviso_madt_2015.tar.gz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     365\n"
     ]
    }
   ],
   "source": [
    "#! ls 2015 | wc -l"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's load the first file as a regular xarray dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import xarray as xr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:   (lat: 720, lon: 1440, nv: 2, time: 1)\n",
       "Coordinates:\n",
       "  * time      (time) datetime64[ns] 2015-01-01\n",
       "  * lat       (lat) float32 -89.88 -89.62 -89.38 -89.12 ... 89.38 89.62 89.88\n",
       "  * lon       (lon) float32 0.125 0.375 0.625 0.875 ... 359.1 359.4 359.6 359.9\n",
       "  * nv        (nv) int32 0 1\n",
       "Data variables:\n",
       "    lat_bnds  (lat, nv) float32 -89.75 -90.0 -89.5 -89.75 ... 89.5 90.0 89.75\n",
       "    lon_bnds  (lon, nv) float32 0.0 0.25 0.25 0.5 ... 359.5 359.8 359.8 360.0\n",
       "    crs       int32 -2147483647\n",
       "    adt       (time, lat, lon) float64 ...\n",
       "Attributes: (12/43)\n",
       "    Conventions:                     CF-1.6\n",
       "    Metadata_Conventions:            Unidata Dataset Discovery v1.0\n",
       "    cdm_data_type:                   Grid\n",
       "    comment:                         Absolute Dynamic Topography\n",
       "    contact:                         aviso@altimetry.fr\n",
       "    creator_email:                   aviso@altimetry.fr\n",
       "    ...                              ...\n",
       "    summary:                         Delayed-Time Level-4 sea surface height ...\n",
       "    time_coverage_duration:          P1D\n",
       "    time_coverage_end:               2015-01-01T12:00:00Z\n",
       "    time_coverage_resolution:        P1D\n",
       "    time_coverage_start:             2014-12-31T12:00:00Z\n",
       "    title:                           DT merged all satellites Global Ocean Gr...</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-2b6e52e1-a797-4880-bf46-09fa7fdb0be9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2b6e52e1-a797-4880-bf46-09fa7fdb0be9' 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>: 720</li><li><span class='xr-has-index'>lon</span>: 1440</li><li><span class='xr-has-index'>nv</span>: 2</li><li><span class='xr-has-index'>time</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-70909eb3-5d0c-46af-a97b-f34998ba43af' class='xr-section-summary-in' type='checkbox'  checked><label for='section-70909eb3-5d0c-46af-a97b-f34998ba43af' 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'>2015-01-01</div><input id='attrs-b29f78f5-94b4-40db-8329-4350a1e44eb8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b29f78f5-94b4-40db-8329-4350a1e44eb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0383d708-5e2c-4980-a77a-fba6d0e57208' class='xr-var-data-in' type='checkbox'><label for='data-0383d708-5e2c-4980-a77a-fba6d0e57208' 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>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;2015-01-01T00:00:00.000000000&#x27;], 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'>float32</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-844b4cbb-d3ac-48de-88cd-d26e7c8154ea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-844b4cbb-d3ac-48de-88cd-d26e7c8154ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3915b454-7de9-4ae2-bc8b-04c58d67687f' class='xr-var-data-in' type='checkbox'><label for='data-3915b454-7de9-4ae2-bc8b-04c58d67687f' 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>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_max :</span></dt><dd>89.875</dd><dt><span>valid_min :</span></dt><dd>-89.875</dd></dl></div><div class='xr-var-data'><pre>array([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875],\n",
       "      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'>0.125 0.375 0.625 ... 359.6 359.9</div><input id='attrs-6e9948f1-c7ca-4d9b-a5d2-c4d4f450eda4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e9948f1-c7ca-4d9b-a5d2-c4d4f450eda4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-060f181c-f27d-4be0-a6e3-e3344a7951d8' class='xr-var-data-in' type='checkbox'><label for='data-060f181c-f27d-4be0-a6e3-e3344a7951d8' 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>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_max :</span></dt><dd>359.875</dd><dt><span>valid_min :</span></dt><dd>0.125</dd></dl></div><div class='xr-var-data'><pre>array([1.25000e-01, 3.75000e-01, 6.25000e-01, ..., 3.59375e+02, 3.59625e+02,\n",
       "       3.59875e+02], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>nv</span></div><div class='xr-var-dims'>(nv)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1</div><input id='attrs-09cce49f-b354-42d2-9764-73aa871c87aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09cce49f-b354-42d2-9764-73aa871c87aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f4f708b-516e-4f8b-9208-3b27d1fbcfcf' class='xr-var-data-in' type='checkbox'><label for='data-3f4f708b-516e-4f8b-9208-3b27d1fbcfcf' 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>comment :</span></dt><dd>Vertex</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([0, 1], dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b5dc51c4-17c1-4d01-b4a7-ee76e40e7ee7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b5dc51c4-17c1-4d01-b4a7-ee76e40e7ee7' class='xr-section-summary' >Data variables: <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>lat_bnds</span></div><div class='xr-var-dims'>(lat, nv)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e252b6c4-0893-4eee-9969-3e56d4be41af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e252b6c4-0893-4eee-9969-3e56d4be41af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4823506-bdad-438a-9d9a-f295a476c6b3' class='xr-var-data-in' type='checkbox'><label for='data-c4823506-bdad-438a-9d9a-f295a476c6b3' 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>comment :</span></dt><dd>latitude values at the north and south bounds of each pixel.</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[-89.75, -90.  ],\n",
       "       [-89.5 , -89.75],\n",
       "       [-89.25, -89.5 ],\n",
       "       ...,\n",
       "       [ 89.5 ,  89.25],\n",
       "       [ 89.75,  89.5 ],\n",
       "       [ 90.  ,  89.75]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, nv)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9a245b53-b66e-471a-ab6b-5fea07a96172' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a245b53-b66e-471a-ab6b-5fea07a96172' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6710a3a-13e0-459d-b1ed-2771468b34c7' class='xr-var-data-in' type='checkbox'><label for='data-c6710a3a-13e0-459d-b1ed-2771468b34c7' 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>comment :</span></dt><dd>longitude values at the west and east bounds of each pixel.</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[0.0000e+00, 2.5000e-01],\n",
       "       [2.5000e-01, 5.0000e-01],\n",
       "       [5.0000e-01, 7.5000e-01],\n",
       "       ...,\n",
       "       [3.5925e+02, 3.5950e+02],\n",
       "       [3.5950e+02, 3.5975e+02],\n",
       "       [3.5975e+02, 3.6000e+02]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-58909ac6-5809-470b-9a1b-90900449b044' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58909ac6-5809-470b-9a1b-90900449b044' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e10c681c-1423-423c-a4c3-d46300269e62' class='xr-var-data-in' type='checkbox'><label for='data-e10c681c-1423-423c-a4c3-d46300269e62' 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>comment :</span></dt><dd>This is a container variable that describes the grid_mapping used by the data in this file. This variable does not contain any data; only information about the geographic coordinate system.</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>inverse_flattening :</span></dt><dd>298.257</dd><dt><span>semi_major_axis :</span></dt><dd>6378136.3</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adt</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5910cf96-f041-48d3-bf03-387fbc1ed887' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5910cf96-f041-48d3-bf03-387fbc1ed887' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe5503ac-7d44-4add-8ab6-eeef8b77be46' class='xr-var-data-in' type='checkbox'><label for='data-fe5503ac-7d44-4add-8ab6-eeef8b77be46' 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>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Absolute Dynamic Topography</dd><dt><span>standard_name :</span></dt><dd>sea_surface_height_above_geoid</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[1036800 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-97f024af-d280-4172-a5b6-16d408a4cee8' class='xr-section-summary-in' type='checkbox'  ><label for='section-97f024af-d280-4172-a5b6-16d408a4cee8' class='xr-section-summary' >Attributes: <span>(43)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>comment :</span></dt><dd>Absolute Dynamic Topography</dd><dt><span>contact :</span></dt><dd>aviso@altimetry.fr</dd><dt><span>creator_email :</span></dt><dd>aviso@altimetry.fr</dd><dt><span>creator_name :</span></dt><dd>SSALTO/DUACS</dd><dt><span>creator_url :</span></dt><dd>http://www.aviso.altimetry.fr</dd><dt><span>date_created :</span></dt><dd>2015-10-23T17:07:42Z</dd><dt><span>date_issued :</span></dt><dd>2015-09-14T00:00:00Z</dd><dt><span>date_modified :</span></dt><dd>2015-11-13T16:23:24Z</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.875</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.875</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.25</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.875</dd><dt><span>geospatial_lon_min :</span></dt><dd>0.125</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.25</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_positive :</span></dt><dd>down</dd><dt><span>geospatial_vertical_resolution :</span></dt><dd>point</dd><dt><span>geospatial_vertical_units :</span></dt><dd>m</dd><dt><span>history :</span></dt><dd>2015-10-23T17:07:42Z: created by DUACS DT - 2015-11-13T16:23:24Z: Change of some attributes</dd><dt><span>institution :</span></dt><dd>CNES, CLS</dd><dt><span>keywords :</span></dt><dd>Oceans &gt; Ocean Topography &gt; Sea Surface Height</dd><dt><span>keywords_vocabulary :</span></dt><dd>NetCDF COARDS Climate and Forecast Standard Names</dd><dt><span>license :</span></dt><dd>http://www.aviso.altimetry.fr/fileadmin/documents/data/License_Aviso.pdf</dd><dt><span>platform :</span></dt><dd>AltiKa, Cryosat-2, Haiyang-2A, OSTM/Jason-2</dd><dt><span>processing_level :</span></dt><dd>L4</dd><dt><span>product_version :</span></dt><dd>5.7</dd><dt><span>project :</span></dt><dd>SSALTO/DUACS :  Data Unification and Altimeter Combination System </dd><dt><span>references :</span></dt><dd>http://www.aviso.altimetry.fr</dd><dt><span>source :</span></dt><dd>Altimetry measurements</dd><dt><span>ssalto_duacs_comment :</span></dt><dd>The reference mission used for the altimeter inter-calibration processing is Topex/Poseidon between 1993-01-01 and 2002-04-23, Jason-1 between 2002-04-24 and 2008-10-18, OSTM/Jason-2 since 2008-10-19.</dd><dt><span>standard_name_vocabulary :</span></dt><dd>NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table v28</dd><dt><span>summary :</span></dt><dd>Delayed-Time Level-4 sea surface height above Geoid products from multi-satellite observations.</dd><dt><span>time_coverage_duration :</span></dt><dd>P1D</dd><dt><span>time_coverage_end :</span></dt><dd>2015-01-01T12:00:00Z</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1D</dd><dt><span>time_coverage_start :</span></dt><dd>2014-12-31T12:00:00Z</dd><dt><span>title :</span></dt><dd>DT merged all satellites Global Ocean Gridded Absolute Dynamic Topography L4 product</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:   (lat: 720, lon: 1440, nv: 2, time: 1)\n",
       "Coordinates:\n",
       "  * time      (time) datetime64[ns] 2015-01-01\n",
       "  * lat       (lat) float32 -89.88 -89.62 -89.38 -89.12 ... 89.38 89.62 89.88\n",
       "  * lon       (lon) float32 0.125 0.375 0.625 0.875 ... 359.1 359.4 359.6 359.9\n",
       "  * nv        (nv) int32 0 1\n",
       "Data variables:\n",
       "    lat_bnds  (lat, nv) float32 ...\n",
       "    lon_bnds  (lon, nv) float32 ...\n",
       "    crs       int32 ...\n",
       "    adt       (time, lat, lon) float64 ...\n",
       "Attributes: (12/43)\n",
       "    Conventions:                     CF-1.6\n",
       "    Metadata_Conventions:            Unidata Dataset Discovery v1.0\n",
       "    cdm_data_type:                   Grid\n",
       "    comment:                         Absolute Dynamic Topography\n",
       "    contact:                         aviso@altimetry.fr\n",
       "    creator_email:                   aviso@altimetry.fr\n",
       "    ...                              ...\n",
       "    summary:                         Delayed-Time Level-4 sea surface height ...\n",
       "    time_coverage_duration:          P1D\n",
       "    time_coverage_end:               2015-01-01T12:00:00Z\n",
       "    time_coverage_resolution:        P1D\n",
       "    time_coverage_start:             2014-12-31T12:00:00Z\n",
       "    title:                           DT merged all satellites Global Ocean Gr..."
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# ds_first = xr.open_dataset('2015/dt_global_allsat_madt_h_20150101_20150914.nc')\n",
    "# ds_first"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8.32034"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# ds_first.nbytes / 1e6"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This one file is about 8 MB. So 365 of them will be nearly 3 GB. If we had downloaded all 25 years of data, it would be 73 GB. This is a good example of \"medium data.\"\n",
    "\n",
    "### open_mfdataset\n",
    "\n",
    "We already saw an incredibly useful function in xarray is `open_mfdataset`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using `open_mfdataset` we can easily open all the netcdf files into one `Dataset` object.\n",
    "\n",
    ":::{tip}\n",
    "If you got a *\"Too many open files\"* OSError. You will have to increase your `ulimit` from the command line before launching the notebook:\n",
    "\n",
    "$ ulimit -S -n 4000\n",
    ":::"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:   (lat: 720, lon: 1440, nv: 2, time: 365)\n",
       "Coordinates:\n",
       "  * time      (time) datetime64[ns] 2015-01-01 2015-01-02 ... 2015-12-31\n",
       "  * lat       (lat) float32 -89.88 -89.62 -89.38 -89.12 ... 89.38 89.62 89.88\n",
       "  * lon       (lon) float32 0.125 0.375 0.625 0.875 ... 359.1 359.4 359.6 359.9\n",
       "  * nv        (nv) int32 0 1\n",
       "Data variables:\n",
       "    lat_bnds  (time, lat, nv) float32 dask.array&lt;chunksize=(1, 720, 2), meta=np.ndarray&gt;\n",
       "    lon_bnds  (time, lon, nv) float32 dask.array&lt;chunksize=(1, 1440, 2), meta=np.ndarray&gt;\n",
       "    crs       (time) int32 -2147483647 -2147483647 ... -2147483647 -2147483647\n",
       "    adt       (time, lat, lon) float64 dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;\n",
       "Attributes: (12/43)\n",
       "    Conventions:                     CF-1.6\n",
       "    Metadata_Conventions:            Unidata Dataset Discovery v1.0\n",
       "    cdm_data_type:                   Grid\n",
       "    comment:                         Absolute Dynamic Topography\n",
       "    contact:                         aviso@altimetry.fr\n",
       "    creator_email:                   aviso@altimetry.fr\n",
       "    ...                              ...\n",
       "    summary:                         Delayed-Time Level-4 sea surface height ...\n",
       "    time_coverage_duration:          P1D\n",
       "    time_coverage_end:               2015-01-01T12:00:00Z\n",
       "    time_coverage_resolution:        P1D\n",
       "    time_coverage_start:             2014-12-31T12:00:00Z\n",
       "    title:                           DT merged all satellites Global Ocean Gr...</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-e3dce4c9-7ade-4ab5-a33d-afd56af3d1e6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e3dce4c9-7ade-4ab5-a33d-afd56af3d1e6' 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>: 720</li><li><span class='xr-has-index'>lon</span>: 1440</li><li><span class='xr-has-index'>nv</span>: 2</li><li><span class='xr-has-index'>time</span>: 365</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-60a9a6cf-8e01-48a3-b845-3268de2f6415' class='xr-section-summary-in' type='checkbox'  checked><label for='section-60a9a6cf-8e01-48a3-b845-3268de2f6415' 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'>2015-01-01 ... 2015-12-31</div><input id='attrs-f6cabaf1-9fa5-4459-a8e0-22b35c08c4e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6cabaf1-9fa5-4459-a8e0-22b35c08c4e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-144856b2-4357-41b0-b29b-fd9f1f96b07f' class='xr-var-data-in' type='checkbox'><label for='data-144856b2-4357-41b0-b29b-fd9f1f96b07f' 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>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;2015-01-01T00:00:00.000000000&#x27;, &#x27;2015-01-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-01-03T00:00:00.000000000&#x27;, ..., &#x27;2015-12-29T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-12-30T00:00:00.000000000&#x27;, &#x27;2015-12-31T00:00:00.000000000&#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'>float32</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-2b3c319a-f511-465f-8dd2-62cdcf75f83b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b3c319a-f511-465f-8dd2-62cdcf75f83b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7e9b4f7-8f0b-4ba2-b778-53c92994e25a' class='xr-var-data-in' type='checkbox'><label for='data-a7e9b4f7-8f0b-4ba2-b778-53c92994e25a' 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>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_max :</span></dt><dd>89.875</dd><dt><span>valid_min :</span></dt><dd>-89.875</dd></dl></div><div class='xr-var-data'><pre>array([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875],\n",
       "      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'>0.125 0.375 0.625 ... 359.6 359.9</div><input id='attrs-28694bc1-cb22-4788-abf1-07310d984561' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28694bc1-cb22-4788-abf1-07310d984561' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4fd92bd-91dd-49ee-96ef-37fbdc0ec7e2' class='xr-var-data-in' type='checkbox'><label for='data-c4fd92bd-91dd-49ee-96ef-37fbdc0ec7e2' 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>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_max :</span></dt><dd>359.875</dd><dt><span>valid_min :</span></dt><dd>0.125</dd></dl></div><div class='xr-var-data'><pre>array([1.25000e-01, 3.75000e-01, 6.25000e-01, ..., 3.59375e+02, 3.59625e+02,\n",
       "       3.59875e+02], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>nv</span></div><div class='xr-var-dims'>(nv)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1</div><input id='attrs-469e7df4-ab57-4d6a-8fb7-268628336588' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-469e7df4-ab57-4d6a-8fb7-268628336588' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed30e889-73bc-4b96-b5cd-f32746494395' class='xr-var-data-in' type='checkbox'><label for='data-ed30e889-73bc-4b96-b5cd-f32746494395' 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>comment :</span></dt><dd>Vertex</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([0, 1], dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-acbb801b-35cb-47f1-a2d7-37e0897be5c2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-acbb801b-35cb-47f1-a2d7-37e0897be5c2' class='xr-section-summary' >Data variables: <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>lat_bnds</span></div><div class='xr-var-dims'>(time, lat, nv)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 720, 2), meta=np.ndarray&gt;</div><input id='attrs-3d2c59d2-1c81-40f5-94b9-2d7d185c6142' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d2c59d2-1c81-40f5-94b9-2d7d185c6142' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fe8116f-7f31-4049-86ec-cce9a7aa8bb0' class='xr-var-data-in' type='checkbox'><label for='data-8fe8116f-7f31-4049-86ec-cce9a7aa8bb0' 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>comment :</span></dt><dd>latitude values at the north and south bounds of each pixel.</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
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       "<td>\n",
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       "    <tr><th> Count </th><td> 1460 Tasks </td><td> 365 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(time, lon, nv)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1440, 2), meta=np.ndarray&gt;</div><input id='attrs-23f0bf6b-869b-489c-8367-987fdedb9e1f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23f0bf6b-869b-489c-8367-987fdedb9e1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca2d6832-6ab8-412b-bb38-ca6ee8a21833' class='xr-var-data-in' type='checkbox'><label for='data-ca2d6832-6ab8-412b-bb38-ca6ee8a21833' 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>comment :</span></dt><dd>longitude values at the west and east bounds of each pixel.</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>-2147483647 ... -2147483647</div><input id='attrs-7fe24a56-2c91-466b-a81a-e094570c89cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7fe24a56-2c91-466b-a81a-e094570c89cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8202bef6-3051-435f-ba0b-69d8af91d896' class='xr-var-data-in' type='checkbox'><label for='data-8202bef6-3051-435f-ba0b-69d8af91d896' 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>comment :</span></dt><dd>This is a container variable that describes the grid_mapping used by the data in this file. This variable does not contain any data; only information about the geographic coordinate system.</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>inverse_flattening :</span></dt><dd>298.257</dd><dt><span>semi_major_axis :</span></dt><dd>6378136.3</dd></dl></div><div class='xr-var-data'><pre>array([-2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "...\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647],\n",
       "      dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adt</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;</div><input id='attrs-c69a3ef9-570c-46ff-a3b7-b5a8f65214d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c69a3ef9-570c-46ff-a3b7-b5a8f65214d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90eddc4f-65b4-4574-87ee-5201fd149020' class='xr-var-data-in' type='checkbox'><label for='data-90eddc4f-65b4-4574-87ee-5201fd149020' 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>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Absolute Dynamic Topography</dd><dt><span>standard_name :</span></dt><dd>sea_surface_height_above_geoid</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
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       "    <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></tr>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-e733c152-933b-4378-84c1-4f7013a82acd' class='xr-section-summary-in' type='checkbox'  ><label for='section-e733c152-933b-4378-84c1-4f7013a82acd' class='xr-section-summary' >Attributes: <span>(43)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>comment :</span></dt><dd>Absolute Dynamic Topography</dd><dt><span>contact :</span></dt><dd>aviso@altimetry.fr</dd><dt><span>creator_email :</span></dt><dd>aviso@altimetry.fr</dd><dt><span>creator_name :</span></dt><dd>SSALTO/DUACS</dd><dt><span>creator_url :</span></dt><dd>http://www.aviso.altimetry.fr</dd><dt><span>date_created :</span></dt><dd>2015-10-23T17:07:42Z</dd><dt><span>date_issued :</span></dt><dd>2015-09-14T00:00:00Z</dd><dt><span>date_modified :</span></dt><dd>2015-11-13T16:23:24Z</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.875</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.875</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.25</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.875</dd><dt><span>geospatial_lon_min :</span></dt><dd>0.125</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.25</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_positive :</span></dt><dd>down</dd><dt><span>geospatial_vertical_resolution :</span></dt><dd>point</dd><dt><span>geospatial_vertical_units :</span></dt><dd>m</dd><dt><span>history :</span></dt><dd>2015-10-23T17:07:42Z: created by DUACS DT - 2015-11-13T16:23:24Z: Change of some attributes</dd><dt><span>institution :</span></dt><dd>CNES, CLS</dd><dt><span>keywords :</span></dt><dd>Oceans &gt; Ocean Topography &gt; Sea Surface Height</dd><dt><span>keywords_vocabulary :</span></dt><dd>NetCDF COARDS Climate and Forecast Standard Names</dd><dt><span>license :</span></dt><dd>http://www.aviso.altimetry.fr/fileadmin/documents/data/License_Aviso.pdf</dd><dt><span>platform :</span></dt><dd>AltiKa, Cryosat-2, Haiyang-2A, OSTM/Jason-2</dd><dt><span>processing_level :</span></dt><dd>L4</dd><dt><span>product_version :</span></dt><dd>5.7</dd><dt><span>project :</span></dt><dd>SSALTO/DUACS :  Data Unification and Altimeter Combination System </dd><dt><span>references :</span></dt><dd>http://www.aviso.altimetry.fr</dd><dt><span>source :</span></dt><dd>Altimetry measurements</dd><dt><span>ssalto_duacs_comment :</span></dt><dd>The reference mission used for the altimeter inter-calibration processing is Topex/Poseidon between 1993-01-01 and 2002-04-23, Jason-1 between 2002-04-24 and 2008-10-18, OSTM/Jason-2 since 2008-10-19.</dd><dt><span>standard_name_vocabulary :</span></dt><dd>NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table v28</dd><dt><span>summary :</span></dt><dd>Delayed-Time Level-4 sea surface height above Geoid products from multi-satellite observations.</dd><dt><span>time_coverage_duration :</span></dt><dd>P1D</dd><dt><span>time_coverage_end :</span></dt><dd>2015-01-01T12:00:00Z</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1D</dd><dt><span>time_coverage_start :</span></dt><dd>2014-12-31T12:00:00Z</dd><dt><span>title :</span></dt><dd>DT merged all satellites Global Ocean Gridded Absolute Dynamic Topography L4 product</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:   (lat: 720, lon: 1440, nv: 2, time: 365)\n",
       "Coordinates:\n",
       "  * time      (time) datetime64[ns] 2015-01-01 2015-01-02 ... 2015-12-31\n",
       "  * lat       (lat) float32 -89.88 -89.62 -89.38 -89.12 ... 89.38 89.62 89.88\n",
       "  * lon       (lon) float32 0.125 0.375 0.625 0.875 ... 359.1 359.4 359.6 359.9\n",
       "  * nv        (nv) int32 0 1\n",
       "Data variables:\n",
       "    lat_bnds  (time, lat, nv) float32 dask.array<chunksize=(1, 720, 2), meta=np.ndarray>\n",
       "    lon_bnds  (time, lon, nv) float32 dask.array<chunksize=(1, 1440, 2), meta=np.ndarray>\n",
       "    crs       (time) int32 -2147483647 -2147483647 ... -2147483647 -2147483647\n",
       "    adt       (time, lat, lon) float64 dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>\n",
       "Attributes: (12/43)\n",
       "    Conventions:                     CF-1.6\n",
       "    Metadata_Conventions:            Unidata Dataset Discovery v1.0\n",
       "    cdm_data_type:                   Grid\n",
       "    comment:                         Absolute Dynamic Topography\n",
       "    contact:                         aviso@altimetry.fr\n",
       "    creator_email:                   aviso@altimetry.fr\n",
       "    ...                              ...\n",
       "    summary:                         Delayed-Time Level-4 sea surface height ...\n",
       "    time_coverage_duration:          P1D\n",
       "    time_coverage_end:               2015-01-01T12:00:00Z\n",
       "    time_coverage_resolution:        P1D\n",
       "    time_coverage_start:             2014-12-31T12:00:00Z\n",
       "    title:                           DT merged all satellites Global Ocean Gr..."
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# ds = xr.open_mfdataset('2015/*.nc')\n",
    "# ds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the values are not displayed, since that would trigger computation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;adt&#x27; (time: 365, lat: 720, lon: 1440)&gt;\n",
       "dask.array&lt;concatenate, shape=(365, 720, 1440), dtype=float64, chunksize=(1, 720, 1440), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2015-01-01 2015-01-02 ... 2015-12-31\n",
       "  * lat      (lat) float32 -89.88 -89.62 -89.38 -89.12 ... 89.38 89.62 89.88\n",
       "  * lon      (lon) float32 0.125 0.375 0.625 0.875 ... 359.1 359.4 359.6 359.9\n",
       "Attributes:\n",
       "    grid_mapping:   crs\n",
       "    long_name:      Absolute Dynamic Topography\n",
       "    standard_name:  sea_surface_height_above_geoid\n",
       "    units:          m</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'adt'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 365</li><li><span class='xr-has-index'>lat</span>: 720</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-68f61b56-1355-49bb-b61f-8453959f1adf' class='xr-array-in' type='checkbox' checked><label for='section-68f61b56-1355-49bb-b61f-8453959f1adf' 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>dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
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       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 3.03 GB </td> <td> 8.29 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (365, 720, 1440) </td> <td> (1, 720, 1440) </td></tr>\n",
       "    <tr><th> Count </th><td> 1095 Tasks </td><td> 365 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></tr>\n",
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       "</td>\n",
       "</tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-196b7b1f-4f32-4c0a-97b8-80c09374ddf6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-196b7b1f-4f32-4c0a-97b8-80c09374ddf6' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2015-01-01 ... 2015-12-31</div><input id='attrs-ea59ec9c-57df-4df7-944e-191eb273107d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea59ec9c-57df-4df7-944e-191eb273107d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33e55b47-973c-496d-a02d-214f028314ff' class='xr-var-data-in' type='checkbox'><label for='data-33e55b47-973c-496d-a02d-214f028314ff' 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>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;2015-01-01T00:00:00.000000000&#x27;, &#x27;2015-01-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-01-03T00:00:00.000000000&#x27;, ..., &#x27;2015-12-29T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-12-30T00:00:00.000000000&#x27;, &#x27;2015-12-31T00:00:00.000000000&#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'>float32</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-c75e9f33-b482-48e1-95bb-2018b33f8fa4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c75e9f33-b482-48e1-95bb-2018b33f8fa4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45364b8f-9ade-41af-a32d-c2aa972d6e55' class='xr-var-data-in' type='checkbox'><label for='data-45364b8f-9ade-41af-a32d-c2aa972d6e55' 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>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_max :</span></dt><dd>89.875</dd><dt><span>valid_min :</span></dt><dd>-89.875</dd></dl></div><div class='xr-var-data'><pre>array([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875],\n",
       "      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'>0.125 0.375 0.625 ... 359.6 359.9</div><input id='attrs-eb65193b-516e-41ef-92e3-0c79d36bb87e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb65193b-516e-41ef-92e3-0c79d36bb87e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-357e23cf-df18-4ab1-8ddf-807d8f842363' class='xr-var-data-in' type='checkbox'><label for='data-357e23cf-df18-4ab1-8ddf-807d8f842363' 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>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_max :</span></dt><dd>359.875</dd><dt><span>valid_min :</span></dt><dd>0.125</dd></dl></div><div class='xr-var-data'><pre>array([1.25000e-01, 3.75000e-01, 6.25000e-01, ..., 3.59375e+02, 3.59625e+02,\n",
       "       3.59875e+02], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a8b8cdb1-7097-470d-8b10-b417a36d8ced' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a8b8cdb1-7097-470d-8b10-b417a36d8ced' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Absolute Dynamic Topography</dd><dt><span>standard_name :</span></dt><dd>sea_surface_height_above_geoid</dd><dt><span>units :</span></dt><dd>m</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'adt' (time: 365, lat: 720, lon: 1440)>\n",
       "dask.array<concatenate, shape=(365, 720, 1440), dtype=float64, chunksize=(1, 720, 1440), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2015-01-01 2015-01-02 ... 2015-12-31\n",
       "  * lat      (lat) float32 -89.88 -89.62 -89.38 -89.12 ... 89.38 89.62 89.88\n",
       "  * lon      (lon) float32 0.125 0.375 0.625 0.875 ... 359.1 359.4 359.6 359.9\n",
       "Attributes:\n",
       "    grid_mapping:   crs\n",
       "    long_name:      Absolute Dynamic Topography\n",
       "    standard_name:  sea_surface_height_above_geoid\n",
       "    units:          m"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# ssh = ds.adt\n",
    "# ssh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7fc9e0675040>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ssh[0].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --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",
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       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
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       "  --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;adt&#x27; (lat: 720, lon: 1440)&gt;\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -89.88 -89.62 -89.38 -89.12 ... 89.38 89.62 89.88\n",
       "  * lon      (lon) float32 0.125 0.375 0.625 0.875 ... 359.1 359.4 359.6 359.9</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'adt'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 720</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e2134c55-eb08-4d8b-8703-77bdad7a2888' class='xr-array-in' type='checkbox' checked><label for='section-e2134c55-eb08-4d8b-8703-77bdad7a2888' 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>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-a3b1f937-1eff-471c-bddc-dd3747a245fb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a3b1f937-1eff-471c-bddc-dd3747a245fb' 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'>float32</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-5f3dda48-038b-4e7c-9cb2-cc737a535f44' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f3dda48-038b-4e7c-9cb2-cc737a535f44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e625fe7-0efd-4370-ad58-4c5269aa28d5' class='xr-var-data-in' type='checkbox'><label for='data-0e625fe7-0efd-4370-ad58-4c5269aa28d5' 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>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_max :</span></dt><dd>89.875</dd><dt><span>valid_min :</span></dt><dd>-89.875</dd></dl></div><div class='xr-var-data'><pre>array([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875],\n",
       "      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'>0.125 0.375 0.625 ... 359.6 359.9</div><input id='attrs-b99a13c5-96a5-48d5-b49c-a5248863231d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b99a13c5-96a5-48d5-b49c-a5248863231d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9bffe255-d817-4c41-9075-76d0f7169ebf' class='xr-var-data-in' type='checkbox'><label for='data-9bffe255-d817-4c41-9075-76d0f7169ebf' 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>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_max :</span></dt><dd>359.875</dd><dt><span>valid_min :</span></dt><dd>0.125</dd></dl></div><div class='xr-var-data'><pre>array([1.25000e-01, 3.75000e-01, 6.25000e-01, ..., 3.59375e+02, 3.59625e+02,\n",
       "       3.59875e+02], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e438131b-c542-4390-84fd-6da38adee576' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e438131b-c542-4390-84fd-6da38adee576' 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 'adt' (lat: 720, lon: 1440)>\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -89.88 -89.62 -89.38 -89.12 ... 89.38 89.62 89.88\n",
       "  * lon      (lon) float32 0.125 0.375 0.625 0.875 ... 359.1 359.4 359.6 359.9"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# ssh_2015_mean = ssh.mean(dim='time')\n",
    "# ssh_2015_mean.load()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7fc9c254cdf0>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ssh_2015_mean.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ssh_anom = ssh - ssh_2015_mean\n",
    "# ssh_variance_lonmean = (ssh_anom**2).mean(dim=('lon', 'time'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fc9b2246ee0>]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ssh_variance_lonmean.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fc9c24bb9d0>]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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IiPSIxuYWnlqVzbTBcVw9dWCvDi8AM9ISaG6xbMurcLoUv9a7f4tERKTbvbv9KPnHTnDfwhG9rsuoPdOGxGOMJrTrKgUYERHpNi0tlsdXZjOmXwznj0l2uhyf0Cc8hDH9+pCRe8zpUvyaAoyIiHSbD/cUkVV8nH87b7iuvrQxIy2eTw4fo6m5xelS/JYCjIiIdAtrLY+vzGJI30gun9jf6XJ8SnpaArUNzewtqHa6FL+lACMiIt1iXVYZO/IruWfB8F4/cPdUM9Lige4ZB3O8vomM3HKyS457/di+RL9RIiLSLZ5ek0NKnzCumTbQ6VJ8Tv/YCAbGRZBxyPsB5t6XPuHaJzdwwe9W8dqWPK8f31cowIiIiNcVV9Wx9kAJ100fRFhwkNPl+KQZafFsyT2GtdZrx9ySW87qzBLuPGco80cl8eA/d7AhOzBXv1aAERERr3tn+1FaLFw1dYDTpfis9LQESqrrOVxe67Vj/mH5ARKjQ/nOxaN48pZp9I+N4OEP9nk1JPkKBRgREfG6t7YdYeLAWEYkxzhdis+akZYAwBYv3U5dUHmCtVml3DonjcjQYCJDg/nm+SPYnlfBin3FXjmHL1GAERERr9qSW86uI1VcOz3V6VJ82sjkaPqEB5PhpYG8S3cVAnBZmzu+vjw9lcEJkTyyLDPgrsIowIiIiFc9uTKbhKhQrk8f5HQpPs3lMqSnJbDZSwHm/V2FjEyOZkRy9GfPhQS5+NYFI9l9tIqlu4u8ch5foQAjIiJes6+wio/2FfO1uWlEhGrw7tmkp8WTU1JD2fH6Lh2npLqezbnlLGpnvp3FUwYwLDGKP3x0IKCuwijAiIiI1zy5MpvI0CBunTPE6VL8wkz3OJiMQ10bB/PhnkKshUUT+n3hteAgF3cvGMbegio2Hwyc9ZcUYERExCvyymt5d0cBX5k5mLjIUKfL8QsTU2MJDXZ1eRzMB7sKSesbyZh+7Q+avnLyQGIjQnhh46EunceXKMCIiIhXPPrRAYKM4c5zhzldit8ICw5icmosqzJLOt29U1HbwIbsMi6d0P+0601FhAZx3fRUlu4qpLiqrisl+wwFGBER6bKd+ZW8/kk+t89Lo19suNPl+JXr0geRWXScVZklndp/2Z4imlpsu91Hbd0yewhNLZaXNx/u1Hl8jQKMiIh02a8/2EdCZCj3nT/C6VL8zlVTBtKvTzhPrMzu1P7v7ypkYFwEk1Jjz7hdWmIUC0Yl8fKmwzQGwCrYCjAiItIlu49WsjarlG/MH0af8BCny/E7ocEu7jx3KJsOlvPJYc8G81bXNbL2QCmXTuh32u6jtm6dM4Ti6no+2uv/E9t5JcAYYy41xuw3xmQZYx5s53VjjHnU/foOY8y0Nq89a4wpNsbsOmWfBGPMMmPMAfef8d6oVUREvOsvaw4SFRrETTMHO12K37pp5mBiI0J40sOrMCv2FdPQ3HLW7qOTFoxKok94MCv2+f+cMF0OMMaYIOAxYBEwDrjJGDPulM0WASPdX3cBT7R57a/Ape0c+kHgI2vtSOAj92MREfEhhZV1vLP9KNfPGERshK6+dFZUWDC3zU3jwz1FZBZVd3i/93cWkhwTxrTBHfs/fnCQi3NGJrI6s9Tv54TxxhWYmUCWtTbHWtsAvAosPmWbxcALttVGIM4Y0x/AWrsaaO/+scXA8+7vnweu8kKtIiLiRX9dn0uLtdwxb6jTpfi9r81NIzosmN8u3d+h7WsbmliZWcylE/rhcp29++ik+SOTKKyq40Dx8c6W6hO8EWAGAnltHue7n/N0m1OlWGsLANx/Jre3kTHmLmNMhjEmo6SkcyO4RUTEczX1Tby86RCLJvRnUEKk0+X4vYSoUO6aP4wP9xTxwa6Cs14hWbW/hLrGFi7tYPfRSfNHJQGwupN3PfkKbwSY9mLfqa3ekW06xVr7tLU23VqbnpSU5I1DiohIB7z56RGq6pq44xxdffGWr58zlNT4CO752yfM/83HPPZxFnWNze1uu2RXIQlRoZ/N5ttRA+IiGJ0SwwfuxR/9lTcCTD7QdsWuVOBoJ7Y5VdHJbib3n/4/ZFpEJEBYa3lp02HGD+jDtMFxTpcTMKLCgvnw2/P5/Q2TGZwQyW+W7ufyR9ewdHchVXWNtLS0/t+/oPIEy/YUcsn4fgQHef5RfuWUAWQcOkZeea23f4Qe440AswUYaYwZaowJBW4E3jllm3eAW913I80GKk92D53BO8Bt7u9vA972Qq0iIuIFnxyuYG9BFTfPGtKh23el4yJDg7l6aiov3TmbF+6YSWOz5e4XtzLppx+y+LF1VNY28j9L9mEt3Hve8E6dY/GUAQC8ve2IN0vvUV0OMNbaJuB+YCmwF3jNWrvbGHOPMeYe92ZLgBwgC/gzcO/J/Y0xrwAbgNHGmHxjzNfdLz0MXGSMOQBc5H4sIiI+4M1P84kICfrsg1C6x/xRSaz47gKe+up0vnvRKPYVVnHebz/mne1HuWv+sE6PPUqNj2Tm0ARe35pPc4t/3o0U7I2DWGuX0BpS2j73ZJvvLXDfafa96TTPlwEXeKM+ERHxHmstH+0tZv6oRKLCvPIxImcQHOTikvH9uGR8P4YnR/P06hzuW9if2+amdem4X509hG++8inv7yrgikn+F0Q1E6+IiHhk99EqCirruHBsitOl9DqXTezPW/fN485zhxHSibEvpx5rWFIUf1qR9dnYGn+iACMiIh5ZvrcIY+D8Me3ObiF+IshluH/hCPYVVrNsr//NzKsAIyIiHvl4fwnTBsfTNzrM6VKki66cPIAhfSP544oDfjczrwKMiIh0WFVdIzvzK5g3ItHpUsQLgoNc3HvecHYdqfK7BR4VYEREpMM255TTYmHu8L5OlyJecvXUVIYlRfHz9/acdtI8X6QAIyIiHbY+u4ywYBdTNXldwAgNdvHLxRM4XF7LU6tynC6nwxRgRESkw9Znl5KeFk9YcJDTpYgXzR2RyIVjU3h+Q67fXIVRgBERkQ4pqqpjX2E1c4dr/EsgumNeGuU1Dby7/Wwr/fgGBRgREemQD/e03mp78TjN/xKI5gzvy8jkaJ5Zc5D6Jt+/CqMAIyIiHfLh7kKGJUYxIjna6VKkGxhj+O7Fo9lfVM1P39nt87dVK8CIiMhZVdY2siG7jIvH99PijQHs0gn9uPe84byyOY9ff7Dfp0OMFrEQEZGzWpNVQlOL5aJxmn030P3HxaOpqmvkyVXZDE2M5IYZg50uqV26AiMiIme1PruMmLBgJqfGOV2KdDOXy/CLxRMYP6APf1l70GevwijAiIjIWa3PKmXWsASCu7iAoPgHYwy3zU0js+g4G3PKnS6nXfpNFBGRMzpScYLcslrm6PbpXuXKyQOIiwzhL2t9c3I7BRgRETmj9VmlAMwboeUDepPwkCDumDeU5XuL2ZFf4XQ5X6AAIyIiZ7Q+u4y+UaGMSo5xuhTpYbfPSyMuMoTffpjpc2NhFGBEROS0rLWszy5lzvC+uFy6fbq3iQkP4b7zRrA6s4T3dxU6Xc7nKMCIiMhpZZfUUFRVr+UDerHb56UxYWAffvz2LqrqGp0u5zMKMCIiclrrszX+pbcLDnLxsyvHU3q8gQ92+s5VGAUYERE5rXVZpQyMi2BwQqTTpYiDpg2OZ3BCJO/u8J2FHhVgRESkXfVNzazLKmP+qEQtH9DLGWO4fFJ/1meXUXa83ulyAAUYERE5jU055Ryvb+LCsVp9WuCKSf1pbrEsc69K7jQFGBERadfyvUWEh7iYN0IDeAXG9e9DYnQomw/6xsy8CjAiIvIF1lqW7yni3JFJhIcEOV2O+ABjDOlDEsg4dMzpUgAFGBERacfegmqOVtZxkbqPpI30tHgOl9dSXFXndCkKMCIi8kXL9xZhDCwck+x0KeJDpg+JB/CJqzAKMCIi8gXL9xYxZVAcSTFhTpciPmT8gFjCQ1xsyXV+HIwCjIiIfE5RVR078it195F8QWiwi0mpcWzLq3C6FAUYERH5vFX7SwA4X91H0o7JqbHsPlpFQ1OLo3UowIiIyOeszy4lMTqUMf20+rR80eRBcTQ0tZBZVO1oHQowIiLyGWst67LLmDNcs+9K+yanxgE43o2kACMiIp/JKj5OSXU984Zr8UZpX2p8BPGRIezIr3C0DgUYERH5zLqsk6tPa/ZdaZ8xhsmD4tieV+loHQowIiLymfXZZaTGRzBIq0/LGUwcGEtWyXHqm5odq0EBRkREAGhusWzMKWPecF19kTMblRJDc4slp6TGsRoUYEREBIDdRyupqmti7giNf5EzG5XSeoeak3ciKcCIiAjQ2n0EMEcDeOUshiZGEewyCjAiIuK89dlljEyOJjkm3OlSxMeFBrsYmhjF/sLjjtWgACMiIjQ0tbDlYLnuPpIOG5USw4FiXYEREREHbcur4ERjs7qPpMNGpcRwuLyWEw3O3ImkACMiIqzPLsVlYPYwBRjpmFEp0VjbOvmhExRgRESE9VllTBgYS2xEiNOliJ8Y5V4ra79DA3kVYEREernahiY+zTum7iPxyJCESEKDXBxQgBERESdk5B6jsdlqAjvxSHCQi+HJ0boCIyIizlifXUZIkCE9Ld7pUsTPjEqJ5kCRxsCIiIgD1meXMnVwPJGhwU6XIn5mVEoMRypOUF3X2OPnVoAREenFKmsb2XWkkrka/yKdcHJJgQMO3ImkACMi0ot9vL+YFosmsJNOGZUSDUBmYc+Pg1GAERHpxZ5bn8uwxCimD9b4F/HcoPhIFk3oR3KfsB4/tzo8RUR6qU8OH2N7XgU/Xzwel8s4XY74IZfL8MQt0505tyNnFRERxz23LpeY8GC+PC3V6VJEPKYAIyLSCxVW1vH+zgJuSB9EVJguxov/UYAREemFXtyYS4u13DY3zelSRDpFAUZEpJfJK6/luXW5XDK+H4MSIp0uR6RTFGBERHoRay0/eGMHLmN46IpxTpcj0mkKMCIivci6rDLWZ5fxvUtGMzAuwulyRDpNAUZEpBd5anU2STFh3DhzkNOliHSJAoyISC+x60glaw6Ucse8oYQFBzldjkiXKMCIiPQSv/5gH3GRIdw8e7DTpYh0mQKMiEgvsDqzhDUHSvnm+SPpEx7idDkiXaYAIyIS4Ky1/H55JgPjIrhFV18kQCjAiIgEuI055Xx6uIJ7zhuusS8SMBRgREQC3OMrs0iMDuO66VrzSAKHVwKMMeZSY8x+Y0yWMebBdl43xphH3a/vMMZMO9u+xpifGmOOGGO2ub8u80atIiK9yfa8CtYcKOUb5w4lPERXXyRwdDnAGGOCgMeARcA44CZjzKnTOy4CRrq/7gKe6OC+v7fWTnF/LelqrSIivc3jK7OIjQjh5tlDnC5FxKu8cQVmJpBlrc2x1jYArwKLT9lmMfCCbbURiDPG9O/gviIi0gmHy2pZuruI2+YMIVorTkuA8UaAGQjktXmc736uI9ucbd/73V1Ozxpj4ts7uTHmLmNMhjEmo6SkpLM/g4hIwHlr2xEAbpipO48k8HgjwJh2nrMd3OZM+z4BDAemAAXA79o7ubX2aWtturU2PSkpqUMFi4gEOmstb356hNnDErTmkQQkbwSYfKDtohqpwNEObnPafa21RdbaZmttC/BnWrubRESkAz45XMHB0hqumao7jyQweSPAbAFGGmOGGmNCgRuBd07Z5h3gVvfdSLOBSmttwZn2dY+ROelqYJcXahUR6RWeWJlFn/BgFk3s53QpIt2iy6O6rLVNxpj7gaVAEPCstXa3MeYe9+tPAkuAy4AsoBa4/Uz7ug/9v8aYKbR2KeUCd3e1VhGR3mB7XgXL9xbzHxePIkbLBkiA8sqwdPctzktOee7JNt9b4L6O7ut+/qveqE1EpLd5ek0OsREh3DY3zelSRLqNZuIVEQkgx2oaWLa7iGumDdTVFwloCjAiIgHkzU+P0NDcwvXpg86+sYgfU4AREQkQ1lpey8hjUmosY/v3cbockW6lACMiEiB2HqlkX2G1rr5Ir6AAIyISIF7LyCMs2MWXJg9wuhSRbqcAIyISAOoam3l721Eum9if2AgN3pXApwAjIhIA3t9VQHVdk7qPpNdQgBERCQCvbclncEIks4YmOF2KSI9QgBER8XOHy2rZkFPG9empuFztrZErEngUYERE/Nxb245gDFwzTQs3Su+hACMi4ufe23GUGUMSGBAX4XQpIj1GAUZExI9lFlWTWXScKyb3d7oUkR6lACMi4sfe3nYEl4FFExRgpHdRgBER8VOVtY28sOEQF45NISkmzOlyRHqUAoyIiJ96Zm0O1XVNfPuiUU6XItLjFGBERPxQeU0Dz649yOUT+2vhRumVFGBERPzQU6uzqW1s5t8vHOl0KSKOUIAREfEzRVV1vLD+EFdOHsDIlBinyxFxhAKMiIif+fX7+2husXxHY1+kF1OAERHxI58cPsY/Pz3CN+YPZUjfKKfLEXGMAoyIiJ+w1vK/H+wjMTqMe88b4XQ5Io5SgBER8RPrssrYmFPO/QuHExUW7HQ5Io5SgBER8QP1Tc387N3dDIyL4KZZg50uR8RxivAiIn7g8Y+zOVB8nOe+NoOw4CCnyxFxnK7AiIj4uP2F1Ty+Mourpgxg4Zhkp8sR8QkKMCIiPqy5xfL9N3YQEx7Cj7803ulyRHyGAoyIiA97bt1BtudV8JMvjSMhKtTpckR8hgKMiIiPyiuv5XcfZnLBmGSunDzA6XJEfIoCjIiIj3pkWSYWyy+umoAxxulyRHyKAoyIiA/KLjnO29uO8NXZQxgQF+F0OSI+RwFGRMQHPf5xNmHBQdy9YLjTpYj4JAUYEREfU3q8nne3H+W69FQSo8OcLkfEJynAiIj4mFc3H6ahuYVb56Q5XYqIz1KAERHxIXWNzbyw4RDnjkxkRHK00+WI+CwFGBERH/KPjDyKq+u5R2NfRM5IAUZExEc0NLXw+Mps0ofEM3d4X6fLEfFpCjAiIj7ig92FFFTWcd/CEZr3ReQsFGBERHzESxsPMTghkgWjkpwuRcTnKcCIiPiAA0XVbDpYzldmDcbl0tUXkbNRgBER8QEvbTpMSJDhuumpTpci4hcUYEREHHaioZk3Psln0YT+9NXEdSIdogAjIuKwd3ccpbquiZtnDXa6FBG/oQAjIuKwlzYdZkRyNDOHJjhdiojfUIAREXHQriOVbM+r4OZZg3XrtIgHFGBERBz00qZDhIe4uGaaBu+KeEIBRkTEIVV1jby97ShXTh5AbESI0+WI+BUFGBERh7z96RFqG5q5edYQp0sR8TsKMCIiDrDW8tKmw0wY2IdJqbFOlyPidxRgREQcsCG7jH2F1dw8a4gG74p0ggKMiIgDHl1xgOSYMK6eOtDpUkT8kgKMiEgP25RTxsaccu5eMJzwkCCnyxHxSwowIiI9yFrL/7y/j+SYML4yUzPvinSWAoyISA/6184CtuVV8B8XjyYiVFdfRDpLAUZEpIfUNzXz6w/2MaZfDF/WqtMiXaIAIyLSQ15Yf4i88hP88PKxBLl055FIVyjAiIj0gGM1DfxxxQHOG53EuSOTnC5HxO8pwIiI9IBHVxzgeH0T/7lorNOliAQEBRgRkW52oKiaFzcc4oYZgxjdL8bpckQCggKMiEg3ampu4bv/2E5MeDDfvXi00+WIBIxgpwsQEQlUGbnlPPz+PnbkV/LYV6aRGB3mdEkiAUMBRkSki5qaW3jz0yN8cvgYQS7D+AGxLN1dyMr9JSTFhPHwNRO5fFJ/p8sUCSgKMCIiXVB6vJ5b/7KZPQVV9I0KpaGphb9tPExidBjfu2Q0t89LIzJUb7Ui3qZ/VSIinVRd18gtz2wit6yGx74yjcsm9qOpxZJdcpzhSdGEBGmYoUh3UYAREemkXy3ZS2ZRNc/fMfOzuV1Cggxj+vVxuDKRwOeV/x4YYy41xuw3xmQZYx5s53VjjHnU/foOY8y0s+1rjEkwxiwzxhxw/xnvjVpFRLxhfVYpr2zO4xvnDtPEdCIO6HKAMcYEAY8Bi4BxwE3GmHGnbLYIGOn+ugt4ogP7Pgh8ZK0dCXzkfiwi4rim5hZ+8s5uBidE8u2LRjldjkiv5I0rMDOBLGttjrW2AXgVWHzKNouBF2yrjUCcMab/WfZdDDzv/v554Cov1Coi0mUvbTrMgeLj/PDysYSHaEVpESd4I8AMBPLaPM53P9eRbc60b4q1tgDA/Wdyeyc3xtxljMkwxmSUlJR0+ocQEemIusZm/rgii9nDErh4XIrT5Yj0Wt4IMO0tqWo7uE1H9j0ja+3T1tp0a216UpL6oUWke/19Sx6lx+v59wtHYYxWlBZxijcCTD4wqM3jVOBoB7c5075F7m4m3H8We6FWEZFOa2pu4alV2cxMS2D2sL5OlyPSq3kjwGwBRhpjhhpjQoEbgXdO2eYd4Fb33UizgUp3t9CZ9n0HuM39/W3A216oVUSk05bvLeZoZR3fmD/M6VJEer0uzwNjrW0yxtwPLAWCgGettbuNMfe4X38SWAJcBmQBtcDtZ9rXfeiHgdeMMV8HDgPXdbVWEZGueGnTIQbEhnP+mHaH5IlID/LKRHbW2iW0hpS2zz3Z5nsL3NfRfd3PlwEXeKM+EZGuOlRWw5oDpXznolEEuTT2RcRpmudaRKQD3vr0KMbAtdNTnS5FRFCAERE5K2stb287wqyhCQyIi3C6HBFBAUZE5Kx2Hqkkp7SGq6acOsWViDhFAUZE5CyW7Cwk2GVYNKG/06WIiJsCjIjIWazKLCE9LZ7YyBCnSxERNwUYEZEzKKqqY29BFeeN1q3TIr5EAUZE5AxWZbausbZglJYqEfElCjAiImewKrOE5JgwxvSLcboUEWlDAUZE5DSamltYe6CUBaOStHCjiI9RgBEROY3t+RVUnmjU+BcRH6QAIyJyGqv2l+AycM6IRKdLEZFTKMCIiJzGqswSpg7W7dMivkgBRkSkHWXH69lxpFJ3H4n4KAUYEZF2rDlQirVw3mgFGBFfpAAjItKOVZklJESFMmFArNOliEg7FGBERE7R0mJZnVnC/JGJuFy6fVrEFynAiIicYvfRKspqGlig7iMRn6UAIyJyipX7iwE4d6QCjIivUoARETnFqswSJqXGkhgd5nQpInIaCjAiIm1U1jbyyeFjun1axMcpwIiItLEuu5QWq9WnRXydAoyISBsr9xfTJzyYKYPinC5FRM5AAUZExM1ay6rMEs4dmURwkN4eRXyZ/oWKiLjtL6qmqKpe3UcifkABRkTEbdX+EgDmK8CI+DwFGBERt5X7SxjTL4Z+seFOlyIiZ6EAIyICHK9vIuNQuWbfFfETCjAiIsCG7DIam63Gv4j4CQUYERFgVWYxkaFBpA9JcLoUEekABRgR6fWstazcX8Lc4YmEButtUcQf6F+qiPR6mUXHyT92goVj1H0k4i8UYESk11u6uxBj4KJxKU6XIiIdpAAjIr3e0t2FTBscT3KMbp8W8RcKMCLSq+WV17L7aBWXjNfVFxF/ogAjIr3a3zYdwmXgson9nS5FRDygANMBh8tqySuvdboMEfGy6rpGXt54mEUT+5MaH+l0OSLiAQWYDvjdsv0s+M3H3PfSJxRW1jldjoh4yd+35FFd38Rd5w5zuhQR8ZACTAf856Kx3L1gOCv2FbPoD6vZeuiY0yWJSBc1Nrfw7NqDzByawORBcU6XIyIeUoDpgH6x4fzg0jG898A59IkI4e4Xt1JQecLpskSkC5bsLOBoZR13z9fVFxF/pADjgeFJ0Txzazp1jc384I2dTpcjIp1kreXPa3IYnhTFwtHJTpcjIp2gAOOhkSkxPHDBCFZnlpCRW+50OSLSCRtyyth1pIpvnDsMl8s4XY6IdIICTCd8dXYaidFhPLIs0+lSRKQT/rw6h8ToUK6aOtDpUkSkkxRgOiEiNIg7zx3K+uwyMouqnS5HRDyQWVTNx/tLuG1OGuEhQU6XIyKdpADTSddNTyU0yMUrmw87XYqIeOCZNTmEh7i4ZfYQp0sRkS5QgOmkvtFhXDKhH29szaeusdnpckSkA4qr63jr06Ncnz6I+KhQp8sRkS5QgOmCG9IHUVXXxMr9JU6XIiId8MqmPBqaW7h93lCnSxGRLlKA6YLZwxKIiwzhw92FTpciImfR1NzCK5sPM39UEkMTo5wuR0S6SAGmC4KDXFwwJoXle4tobG5xuhwROYPle4sprKrjllmDnS5FRLxAAaaLLhmfQlVdE5tyNCeMiC97adMhBsSGc/4YTVwnEggUYLro3JFJhAa5WHNA42BEfNXB0hrWHCjlppmDCQ7S255IINC/5C6KCA1iyqA4NuaUOV2KiJzGSxsPEewy3DBzkNOliIiXKMB4wexhCew6WkV1XaPTpYjIKfLKa3lx4yEun9Sf5Jhwp8sRES9RgPGCWcP60txiyTh0zOlSRKQNay0/eWc3QS7Dg4vGOF2OiHiRAowXTBscT0iQ0UBeER/z4Z4iVuwr5tsXjqJ/bITT5YiIFynAeEFEaBCTUzUORsSX1NQ38bN3djM6JYavzUtzuhwR8TIFGC+ZNSyBnUcqqalvcroUEQF++a+9FFTV8curJxCiO49EAo7+VXvJbI2DEfEZH+4u5JXNh7lr/jBmpCU4XY6IdAMFGC+ZPiSeYJdhk7qRRBzV1NzCr5bsZXRKDN+9aLTT5YhIN1GA8ZLI0GAmpsZqHIyIw/75yRFyy2r5j0tGExqstziRQKV/3V507ohEtuVVUFhZ53QpIr3S8fomHlmWyeTUWC4cqyUDRAKZAowXXTMtlRYLb3yS73QpIr3Sb5fup6i6jp9eOR5jjNPliEg3UoDxorTEKGYPS+DvW/JoabFOlyPSq+SV1/LChlxunjWYqYPjnS5HRLqZAoyX3TRzMIfLa/loX7HTpYj0Ki9vPgzAveeNcLgSEekJCjBedtnE/gzpG8kjyzJ1FUakh9Q3NfPaljwuGJvCgDjNuCvSG3QpwBhjEowxy4wxB9x/tnvd1hhzqTFmvzEmyxjz4Nn2N8akGWNOGGO2ub+e7EqdPSkkyMW/XziSvQVV/L/lmTQrxIh0uxV7iymraeDmWYOdLkVEekhXr8A8CHxkrR0JfOR+/DnGmCDgMWARMA64yRgzrgP7Z1trp7i/7ulinT3qyskDuWJSfx5dkcXM/17Obc9u5pEP95NXXut0aSIB6YPdhSREhXLOiESnSxGRHtLVALMYeN79/fPAVe1sMxPIstbmWGsbgFfd+3V0f78T5DL88aapPHnLdBaOSaaoqo7HVmaz4Dcf85e1B50uTySgNDS1sGJfMReMSSZYSwaI9BrBXdw/xVpbAGCtLTDGtDfxwkAgr83jfGBWB/Yfaoz5FKgCHrLWrmmvAGPMXcBdAIMH+87lY2MMl07ox6UT+gFQWFnHj9/exS/e20NcRAhfnp7qcIUigWHTwTKq65q4eHw/p0sRkR501v+uGGOWG2N2tfO1+Gz7njxEO8+dbWBIATDYWjsV+A7wsjGmT3sbWmufttamW2vTk5KSOlhSz+sXG86fvjKNucP78l9v7mR/YbXTJYk4pqqukeIq70z4+OHuIiJCgjh3pLqPRHqTswYYa+2F1toJ7Xy9DRQZY/oDuP9s797hfGBQm8epwFH39+3ub62tt9aWub/fCmQDozr3I/qO0GAXj940lT4RITzwyqe6S0l6nbe3HeFLf1zLpJ9+yMxffcSTq7KxtvP/DlpaLMv2FDF/VCLhIUFerFREfF1XO4zfAW5zf38b8HY722wBRhpjhhpjQoEb3fuddn9jTJJ78C/GmGHASCCni7X6hMToMB66fCz7i6pZfaDE6XJEesybn+bzrVe30dDUwncvGsVlE/vx8Pv7+MYLGRRUnujUMXceqaSwqo5L1H0k0ut0NcA8DFxkjDkAXOR+jDFmgDFmCYC1tgm4H1gK7AVes9buPtP+wHxghzFmO/A6cI+1tryLtfqMRRP6kxgdyt82Hna6FJFuV9fYzG+X7ud7/9jBnGF9efeb5/DNC0byp5um8dDlY1mXVca1T2zo1F16H+4pJMhlOH+M1j0S6W1MVy7f+pr09HSbkZHhdBkd8r8f7OPJVdmse/B8+sdq4i0JTNklx7nvpU/YV1jNNVMH8pMrxxMbEfK5bXYfreQrf95ETHgwr909p8MT0TW3WM7/3UoGxkXw8jdmd0f5IuIDjDFbrbXppz6vew4dcsOMQbRYeGfb0bNvLOKHGppauPvFrRRX1/Pc7TN45IYpXwgvAOMHxPLi12dSeaKRLz+xnu+/vp2d+ZVYa884Pub9XQUcKqvlq7OHdOePISI+SgHGIUP6RjFlUBxvK8BIgPrr+oNkFR/nN9dOYuHoM3fxTEqN48WvzyKtbxQf7CrkqsfXkf7L5Zzz649Zsa/oC9tba3liZTbDEqN0+7RIL6UA46DFUwawp6CKrGLdUi2BZUd+Bb/7MJMLxyZzwdiUDu0zZVAcr9w1mzU/OJ/b56axcEwyUWFB3PHXDF7Z/PnxYkt2FrL7aBX3nDecIFd7MzWISKBTgHHQ5ZP64zLqRpLAcqymgW+8kEFidBi//vIkj/ePjQjhoSvG8dvrJvPuN89h4egk/uvNnbyzvfXfSV1jMw9/sJcx/WL48jRNCCnSWynAOCg5Jpy5wxN5e/vRLs2FIeJLfr88k9LjDTz11en0jQ7r0rHCgoN4/ObpzEhL4Dt/38Z//nMnF/1+FXnlJ/jRFeN09UWkF1OAcdiVkwdwqKyWHfmVTpci0mX7Cqv428ZD3DJrMBMGxnrlmBGhQfzltnRmDUtgyc4C+kaF8cIdM5mnhRtFerWuroUkXXTJhH489NYu3t52lMmD4pwuR6TTmppb+MHrO4iLDOXbF3l34uyY8BBeulO3SovI/9EVGIfFRoQwf1QiS3cXqhtJ/Nozaw+yPb+Sn105nrjIUKfLEZEApwDjA84fk8KRihMcKD7udCkinZJVfJxHlmVyyfgUrpjU3+lyRKQXUIDxAQvHtK6ivWJfe2thivi+//rnTiJDg/jFVRMwRgNrRaT7KcD4gP6xEYzt36dHAkxdYzMf7i4kI7echqaWbj+fBL5dRyrZnFvOA+ePJDkm3OlyRKSX0CBeH3H+mCSeXJVDZW0jsZFfnG7dG9YcKOHbf99O6fF6ACYM7MPTX03v8NozIu15fWs+ocEurpk20OlSRKQX0RUYH7FwdDLNLZbVB0q65fifHj7GXS9spW9UKH+9fQa/vW4yh0prufmZTboSI51W39TMm58e4ZLx/TRwV0R6lAKMj5g6OJ64yBA+7oZupOyS49zx1y0kxoTy4p0zOW90MtdOT+XRm6ZysLTmC9O0i3TUhuwyKk80cs1UXX0RkZ6lAOMjglyGBaOSWJlZQkuL926nPtHQzB1/3YLLGF68Y9bnxiicNzqJ2cMSePSjA9Q2NHntnNJ7rMosITzExZzhfZ0uRUR6GQUYH3L+mGTKaxrYnl/htWM+vjKLQ2W1/Okr00hLjPrca8YYvnPRaMpqGrQqtnTKqswSZg3tS3hIkNOliEgvowDjQxaMSsJl8Fo30sHSGp5alcNVUwac9n/IM9LiGdu/D8+vz9VEeuKRvPJackpqWDAqyelSRKQXUoDxIXGRoUwbHM+K/V0PMNZafvbubkKDXfzXZWNPu50xhlvnDGFfYTWbDpZ3+bzSe6zKbB1wvmC0AoyI9DwFGB+zcEwyu45UUVxV16XjfLiniJX7S/j2RaNI7nPmuTmumjKQxOgwfr8sU1dhpMNWZ5aQGh/BsFO6JkVEeoICjI85f0wyAB934SrMiYZmfv7uHkanxHDbnCFn3T4iNIj7Fw5n08Fy1maVdvq80ns0NLWwPruMBaOSNPOuiDhCAcbHjOkXw8C4CJbv7XyAeWJVNkcqTvDzxeMJDurYX/FNswaTGh/BT9/ZTV1jc6fPLb3DJ4ePcby+SeNfRMQxCjA+xhjDhWOTWXOghBMNngeJusZmXtiQyyXjU5g1rOO3toYFB/HfV08ku6SGP3x0wOPzSu+yKrOEYJfR7dMi4hgFGB900bh+1DW2dKo7570dBVTUNvK1uUM93nfBqCSuT0/l6dU57PDirdwSeFbtL2H6kHhiwrtn2QsRkbNRgPFBs4YlEBMezLI9hR7v++LGQ4xIjmb2sIROnfuHl48jMTqU77++Q0sMSLuKq+vYU1Clu49ExFEKMD4oJMjFReNSeH9XoUfdSDvyK9ieV8EtswZ3emBlbEQIv7p6IvsKq/nTx1mdOoYEtjWZrVcGNf5FRJykAOOjrk8fRHVdE+/vKujwPn/beIiIkCCumZ7apXNfMDaFq6YM4PGPs9hXWNWlY0ngWZVZQlJMGOP693G6FBHpxRRgfNSsoQmk9Y3k71vyOrR9ZW0jb287ylVTB9LHC+MSfvKl8USGBvHbpZldPpYEjuYWy5oDJcwfqdunRcRZCjA+yhjD9TMGselgOQdLa866/T+25lHf1MItswd75fzxUaF849xhLN9bpAG98pmdRyo5VtvI/FGJTpciIr2cAowPu3ZaKkEuw2sZZ74K09JieWnTYaYPiWf8gFivnf9r89KIiwzh98t0FUZardpfgjFw7kiNfxERZynA+LDkPuEsHJ3E61vzaWo+/R1B67PLOFha47WrLyfFhIdw9/zhfLy/hK2Hjnn12OKfVmUWMyk1joSoUKdLEZFeTgHGx90wYzAl1fW8t+P0g3lf35pHbEQIiyb09/r5b50zhL5Rofy/5boK09sdq2lgW16F7j4SEZ+gAOPjLhiTzNj+ffjth/upb/riLdW1DU18uKeIyyb2JzwkyOvnjwoL5p4Fw1lzoJTNWq26V3v4/X0AXDaxn8OViIgowPg8l8vw4KIx5B87wUsbD3/h9WV7iqhtaGbxlAHdVsMts4eQFBPGI8v2d9s5xLetOVDC3zPyuHvBcMb00+3TIuI8BRg/MH9kIvNG9OWPKw5QVdf42fMtLZYXNxyiX59wZqZ1bubdjogIDeK+84azMaec93Yc7bbziG9qaGrhJ2/vZmhiFN+6YKTT5YiIAAowfsEYw4OXjuVYbSNPrMz+7Pnn1ueScegY37loFC5X987JccvsIUxOjeVHb+2ipLre4/0raxs5XFaLtbYbqpPu9PTqbHJKa/jxl8Z1SzeliEhnBDtdgHTMxNRYrpk2kKdWZTM0MYpteRW8svkwF45N5rr0rs282xHBQS5+d/1kLnt0Lf/15k6e/ur0Dk1kVlHbwC//tZfXt+YDsHjKAB65fgpB3Ry4/FFOyXE+2lvMuaMSe6SbprCyjjUHSqiqa2LRhH7UNTaTGh9JaPD//b/mzU/z+d2yTC6f2J+Fo5O7vSYRkY4ygfQ/4vT0dJuRkeF0Gd2mpr6Jax5fz/6iaoJchtvmpPHdi0cRFdZzOfTPq3P47yV7+e+rJ3DzrCFn3LbyRCM3PLWBrOLjfG1uGgDPrD3IxeNS+N9rJxEXqVtxobUr8LGPs/jDRwdoamn993j3/GE8uGhMt8x229Tcws/e3cOrWw7T2Pz5f/9j+sXw6E1TGZwQyV/WHuS3H+5n9tC+PHf7DF19ERFHGGO2WmvTT31eV2D8SFRYMM/fMZNVmcUsHJNMckx4j9dwxzlDWX2ghB++uYvS6ga+dWH7YyKW7SniN0v3cbC0hme/NoP57ltv+8dF8D9L9nLVY+tY8q1ziQzVr+AP39rJK5vzuHLyAL55/gieW5/LU6tzCA4yfO+SMV4/36+W7OPFjYe4edZgbp2TRnCQYfmeIoKDXDz60QEu/v1qQoNcNDS3cMWk/vzm2skKLyLic3QFRjzW0NTCg2/s4J+fHuHJW6ZxaZv5Z6y1/H75AR796ABpfSP58ZfGcf6YlM/tvy6rlJuf2cQ9C4bz4CLvf0D7k7Lj9cz81UfcOGMQv7xqAsYYrLX84I0d/GNrPm/821ymDY732vne+vQI//73bdw+L42ffGn8F14vqqrjXzsKyD92goVjkjhnRKLWPBIRR+kKjHhNaLCLh788iayS43z/9R0MTYxmdL8Y6hqbeeitXby+NZ/r01P51dUTCQ764jjxeSMSuT49lWfW5HD11IGM7hfjwE/hG97fVUhzi+WW2UM+CwrGGH50xTjWHijlwTd28P635ntlzFBuaQ0/fHMnM9Li+eFlY9vdJqVPOHecM7TL5xIR6W66C0k6JTTYxZ9umkZEaBA3/Xkj97/8CfMeXsHrW/N54IKRPHzNpHbDy0kPLhpLTHgwD721k5aWwLkK6Kn3dhxleFIUY04JcTHhIfzw8nFkFh332q3rf/joAMYY/nDj1DP+3YiI+AO9i0mnDe4byat3zWFI30h2HqlkRloCr3xjdodu606ICuU/LxvLltxjvLXtSA9V7FuKqurYdLCcKyYNaLebZtGEfoxOieHRjw7Q3MWQd6ymgX/tLOCaaQMZEBfRpWOJiPgCdSFJlwxNjOLNe+d1at/rpqfy3LpcHvs4i6umDOz2uWx8zZKdBVgLX5rc/hpWLpfh/vNH8M1XPuXjfcVcOC6l3e064o1P8mloauErs7y74KeIiFN0BUYcY4zh384bTnZJDcv2FjldTo97b0cBY/rFMCL59GOALp3Qj8ToMP6ekdfp81hreXnTYaYPidcyACISMBRgxFGXTejHkL6RPPTWLnYdqXS6nB5ztOIEWw8d40uTz7yGVUiQi2unp7JiXzHFVXWdOteGnDJySmu4WVdfRCSAKMCIo4KDXDxzazqhQS5ueGoDqzJLnC6pR7y9rXVg7uUT2+8+auuGGYNobrG8vPmLi3l2xEubDhMXGcJlHTiXiIi/UIARx41MieGf985lcN8o7vjrFh75cD8NTS1Ol9VtrLW88Uk+04fEk5YYddbthyZGceHYZP66Ppea+iaPzrUjv4Kluwq5dlqqJqMTkYCiACM+IaVPOK/dPZsrJw/g0RVZfP35LdQ2ePZh7S925FeSVXyca6d3fA2rexeOoKK2kVc8uApTU9/EA698SnJMGN88X6tIi0hgUYARnxETHsLvb5jCb66dxLqsUtJ/uZzbnt1MTslxp0vzqjc+yScs2MXlkzrepTNtcDxzh/fl6dU51Dc1d2ifJ1Zmk1tWyyM3TCE2MqSz5YqI+CQFGPE516UP4qU7Z3N9+iC25VVw6R/W8G9/2xoQg3zrm5p5e9tRLh7fjz7hnoWK+xaOoLi6/rOVvc/kSMUJ/rwmh6umDGD2sL6dLVdExGcpwIhPmjO8Lz+9cjzLvj2fm2YMYtPBcq5+fB3PrMnx65l7V+wtpvJEo0fdRyfNHd6XKYPieHJVNk3NZx4j9JsP9gHwvUt791pTIhK4FGDEpyX3Cedniyfw0XcWsHB0Mr/8117uejGDxrN8gPuqNz7JJ6VPGOeMSPR4X2MM9543nLzyE/xrZ8Fpt9uWV8Fb245y57lDGahZd0UkQCnAiF+Ijwrlqa9O50dXjGP53mIeWZbpdEkeK6mu5+P9JVw1dWCnF2e8cGwKI5OjeWJlNu2tJG+t5Zfv7SExOpR/O29EV0sWEfFZCjDiN4wxfP2codw4YxBPrMxm+R7/mr337W1HaG6xXDvN8+6jk1wuwz0LhrOvsJr3dnzxKsz7uwrJOHSM7148mugwrRQiIoFLAUb8zk++NJ6JA2P51qufsregyulyOuyNT44wOTWWkSmnXzqgI66aOpDxA/rwy3/t4YUNuWzILgOgsraRXy3Zy5h+MVyfPsgbJYuI+CwFGPE7EaFBPHNbOjHhIdz5fAYl1fXtbtfQ1MJHe4t4fWs+H+8vpqK2oYcr/T878ivYW1DVqcG7pwpyGX5x1QSKqur58du7+cozG/ndh/u54/ktFFfV84urJnS6i0pExF/oGrP4pZQ+4TxzWzrXPbmBa59cz38uGsO5I5OIDA3irW1H2JBdxqaD5Rwqq/1sn8ToUJ792gwmpcZ5fL66xmaq6hpJjgnvVL3Prz9EVGgQV00d2Kn9TzVtcDxv3TePyNAg/mfJXv64IouQIMPvb5jCjLQEr5xDRMSXmfYGAvqr9PR0m5GR4XQZ0oM25ZTxn//cSU5pDUEuw8C4CA6X15IYHUpa3yjuXjCcUSnR5JWf4Adv7KC8poFfXzuJK8+yiOJJJdX1/OSdXSzdXURzi2Xq4Dgeunwc04fEd7jGsuP1zHl4BTfOGMTPF0/o7I96WtZaSqrriQwL1rgXEQk4xpit1tr0LzyvACP+rqGphY05ZWzJLWdHfiULRiXxtblpuE7pRimuruO+lz5hS+4x7jxnKN+7dDRhwe2vD1TX2Mzvl2fy0sbDNDS3cOvsIcRHhfLypsMUVdXxq6sncv2Mjo0z+dFbu/jbpkMs+/Z8RiR3bfyLiEhvowAjQmvY+e9/7eH5DYcIdhmumNSfR66f8rmwU13XyDdeyGDTwXK+NGkAD1wwkhHJ0QBUnmjk/pc/YV1WKX/52gwWjk4+4/k25pRx49MbuX1eGj/50vhu/dlERAKRAoxIG6szS3h/VwGvbM7jgfNHcOPMwRyvb6KusZmH3trFnqNV/O76ySye8sUxKzX1TVz35AYOltbw3O0zTjtVf155LVc/vp7I0CA++PdziQxV946IiKcUYEROYa3lgVe38e72o597PizYxRO3TOP8MSmn3bekup6v/Hkj+cdO8Mpds5kyKO6z15pbLK9sPsyfVmRR29DEP++dq64jEZFOUoARaUdjcwurM0sorKqjT3gIIUGGkSkxDE+KPuu+xdV1fPmJ9dTWN/PN80cQFRZMWU0Dy/YUsfXQMaYPiefHV4xjcptwIyIinlGAEekG2SXHufP5DA6W1nz2XN+oUB66YixXTRmIMZqPRUSkK04XYLrUKW+MSQD+DqQBucD11tpj7Wx3KfAHIAh4xlr7sPv564CfAmOBmdbajDb7/CfwdaAZeMBau7QrtYp0h+FJ0Xz8H+dxtOIETc2WvtGhRIYGKbiIiHSzrs7E+yDwkbV2JPCR+/HnGGOCgMeARcA44CZjzDj3y7uAa4DVp+wzDrgRGA9cCjzuPo6ITxoQF8HgvpFEhQUrvIiI9ICuBpjFwPPu758Hrmpnm5lAlrU2x1rbALzq3g9r7V5r7f7THPdVa229tfYgkOU+joiIiEiXA0yKtbYAwP1ne5NiDATy2jzOdz93Jh3exxhzlzEmwxiTUVJS0uHCRURExH+ddQyMMWY50K+dl37YwXO0dz39bCOHO7yPtfZp4GloHcTbwZpERETEj501wFhrLzzda8aYImNMf2ttgTGmP1Dczmb5QNs511OBo+1s19V9REREpJfoahfSO8Bt7u9vA95uZ5stwEhjzFBjTCitg3Pf6cBxbzTGhBljhgIjgc1drFVEREQCRFcDzMPARcaYA8BF7scYYwYYY5YAWGubgPuBpcBe4DVr7W73dlcbY/KBOcC/jDFL3fvsBl4D9gAfAPdZa5u7WKuIiIgECE1kJyIiIj7rdBPZdfUKjIiIiEiPU4ARERERv6MAIyIiIn5HAUZERET8jgKMiIiI+B0FGBEREfE7CjAiIiLidxRgRERExO8owIiIiIjfUYARERERvxNQSwkYY0qAQ910+ESgtJuOHUjUTp5Tm3lG7dU5ajfPqL08111tNsRam3TqkwEVYLqTMSajvbUY5PPUTp5Tm3lG7dU5ajfPqL0819Ntpi4kERER8TsKMCIiIuJ3FGA67mmnC/ATaifPqc08o/bqHLWbZ9RenuvRNtMYGBEREfE7ugIjIiIifkcBRkRERPyOAoyISAAwxhinaxDpSQowbegNoGOMMQltvlebnYUx5jxjzBcmYZLTM8Z81xhzsft7/Y51TMzJb9RmHaN28oyvtZcCDGCMWWyMeR6Y7HQtvswYc6kxZjXw/4wxvwOwGgV+Wm3a62ag3ul6/IEx5mJjzFLgB8CtoN+xszHGXGSMWQv81hjzfVCbnY3e8z3jq+0V7HQBTjHGGGutNcYsBH4BNAJzjDGHrLXHHC7PZ7gTtwv4OnAH8D/Ap8ALxphF1tr3nazP17jbywA3AE8BX7fW/sPZqnybu81CgB8DC2j9HQsFZhhjQoAmfSC3zxiTCvwUeBhYCbxqjOlrrf3Byfc4J+vzRXrP7xh/+IzslVdgTvmHfRC4BPgeMAuY5FhhPuZkO1lrm4G1wDnW2reBOqAY2G2McZ3c1sFSfUKb9moBjgIvAFnu164zxqS6P5DVXm5t2qwBeNtae661dglwDLjRWtuoD+HPO+V3Zwyw01r7rrW2GngM+LYxZqT7w0e/Z190ELgYveeflr98Rva6AGOMuR/4pzHm28aYftbaXGttgbV2BVAELDDGDHS4TMed0k79rbV7rLVNxphpwFtAGq2X+R85uYszlfqGNu31HWNMIq2BbwfwhDFmH3A98Efg8ZO7OFOp72jnd2yL+/kQa+0qIMcYs8jZKn3LKW3WB8gEzjHGzHFvkgzsBh5yqkZfY4y51xjzZff3Bsiz1hbqPb99/vQZ2asCjDHmauA24FFaU+RDxpgpbTZ5CRhFa8psu1+v+rBpp51+2KadTv7PeCbwfeBrxph091WHXumU9poI/AwYAbwHfAzcZK29jtZuuKuMMdN7c3vBaX/HTvavN7kHih8Cmh0q0ee002a/pnVs1e+Bu40x62i9snANMMUYk9abr14ZY2KMMU/S2jX5vDEm2N0eba9M6T2/DX/7jOxVAYbWRn/CWvsxrf3GB4EHTr5ord0BbAEmGGPON8b8wP18b3sTaK+dvgVgrT1orT3s/r4GeA3o41CdvuLU9soFvmetPQr8zFr7KYC1tpzWq1fRzpTpU870O2bdbRUBLAQ42VXZy7XXZj+z1v4F+AbwbWvtV4DDwGagyqlCfYG7S22VtbYfrf+ZeMz90mfdI3rP/wK/+ozsFW8KbdJhDvAVAGvtIeBfQJQx5so2m78C3An8HUg8Zf+AdpZ2ijylnTDGPASMB/b0ZJ2+4gzt9S4QY4y50lpb12b7H9HaXvt6ulZf4eG/xb8BM40x4b35itUZ2uwdIN4Yc7V7rNBm93a/AKKA6h4v1ke0abN33H/+O3CTe2xQszEmuM02vfY9/yR//YwMyABjjElr+7hNOnwdqDXGLHY/LqB15P440yoa+AOwE5hkrf3eKfsHlM60k3u/Rab1ts1RwLXW2sIeKdhhXWivc40xH9PaXl+21hb1SME+oLP/Ft3PRQCv0su6kTrRZqPd+400xrwNTKD1akxjjxTsA07XZtbaGmOMy/0e9TjwjPv5Jvcg5yhau0t6xXv+ScaYdGNM8snH/voZGVABxhgzzRizHPi5MSaozfMn3xCPAW8C/2aMMdbaSlov54e7/wLqgG9Zay+31hb0dP09pQvtFOF+fS9wj7X21kBup5O80F65wH3W2q/2hvaCLrVZWJs3w7ettX/uLR/EXXn/cr9eSOvv2ZW9JSSfqc1O7Xa01j4IDDXGzDHGpBhjZri7wR8I9Pf8k4wx440x64GfAHFtnvfLz8iACDDuX9Yf0npp61X3B2uz+zVXmzfECGApranyaWPMAGAqrfe3n0zlxT3/E/QML7RTA4B7VPqunv8JepYX2yvPWtsrutm80GZNJ491cr9A58X3r2prbX7P/wQ9ryNtZq1tcV8xiG2z66+BdcAaIBIgkN/z2/Et4E1r7ZestZng35+RARFg3I0fCqy11j4DYIyZaowJBqz78S9oTZYpwHdpvR3sZaCC1kmgAp7ayTNqL8+pzTynNvNcB9vs57R2iUxwP14EfJPWqR/G29Zb9XsFY0yQab2zzwJ/cj93tWmdCDHS/fiX+NnvmPHXrj5jzAKgzlq7yf04CniD1jkQ5tPa+JXAP4DlwNPAj621WW2OEWmtre3p2nuS2skzai/Pqc08pzbzXFfbzBgzDqi21uY5UH6Pa6e9wmmdRf0/gJtoHYBbQGu30APA8/jb75i11q++aF2w7J9AOfAsEN/mtZtp/cWd7358N/AcMKTNNi6nfwa1k+99qb3UZmoz3/zyQpsFOf0z+FB7fZ/WMXlfdT8eCGwCLmizjd/8jvljF1IDsAK4hdbp2q87+YK19iXgemvtavdTy4EE3P137r6+3nI7ptrJM2ovz6nNPKc281xX26xXjKVq47TtReudWBG0ztiMtfYIsIrWtcj87nfMLwKMMeZWY8wCY0yctbae1lvhltM6jXa6MWaUeztjWyfAOukiWvv8jgP4019MZ6idPKP28pzazHNqM8+pzTzT0fay1h6ndRzQrcaYKcaYfwMupHXCOr9rL58dA2OMMUA/WgcRtQDZtE7O9C1rbal7m5G0TntcZ639pfs5F3AOrfeqHwZ+YK0N2InD1E6eUXt5Tm3mObWZ59Rmnulse7mfvwGYTOvEmv9lrd3dw+V7hU9egTHGBNnWZBUDHLHWXgDcS2uf3lMnt7PWHgC2AgOMMSPcg5QscAT4ibV2cSD/IqudPKP28pzazHNqM8+pzTzThfaKMq2Lpf4d+KG7vfwyvAAEO11AW6b1FrifA0HGmCW0rrHTDK33nxtjHgCOGmMWWPctcNbaN40xY4EPaJ1w53zbOudGtiM/RA9QO3lG7eU5tZnn1GaeU5t5xkvttRDYa321+8UDPnMFxrTe8rUViAeyaF3PoxFYaIyZCZ/d+/9zWheZOrnfdcAPaV31d5IN8AnD1E6eUXt5Tm3mObWZ59RmnvFie+3t2cq7j8+MgTHGnAukWWtfdD9+nNb1Fk4A37TWTnf3dSbTunbFD6y1B937Ya1d41DpPUrt5Bm1l+fUZp5Tm3lObeYZtdcX+cwVGFqT5Wvm/9azWAcMttb+ldbLZd+0rSOkU4Fma+3JUdNrAvEv5gzUTp5Re3lObeY5tZnn1GaeUXudwmcCjLW21lpbb//vnv2LgBL397cDY40x79G69sUnTtToC9ROnlF7eU5t5jm1mefUZp5Re32RTw3ihdbR1bSOKk8B3nE/XQ38F61rWhy0rZPv9GpqJ8+ovTynNvOc2sxzajPPqL3+j89cgWmjhdZZAUuBSe5E+SOgxVq7trf8xXSA2skzai/Pqc08pzbznNrMM2ovN58ZxNuWMWY2sN799Zy19i8Ol+ST1E6eUXt5Tm3mObWZ59RmnlF7tfLVAJMKfBV4xLZOiyztUDt5Ru3lObWZ59RmnlObeUbt1conA4yIiIjImfjiGBgRERGRM1KAEREREb+jACMiIiJ+RwFGRERE/I4CjIiIiPgdBRgRcZwxpq8xZpv7q9AYc8T9/XH3onUiIp+j26hFxKcYY34KHLfW/tbpWkTEd+kKjIj4LGPMee6p0jHG/NQY87wx5kNjTK4x5hpjzP8aY3YaYz4wxoS4t5tujFlljNlqjFlqjOnv7E8hIt1BAUZE/Mlw4HJgMfA34GNr7UTgBHC5O8T8EbjWWjsdeBb4b6eKFZHu43OrUYuInMH71tpGY8xOIAj4wP38TiANGE3rirzLjDG4tylwoE4R6WYKMCLiT+oBrLUtxphG+3+D+FpofT8zwG5r7RynChSRnqEuJBEJJPuBJGPMHABjTIgxZrzDNYlIN1CAEZGAYa1tAK4Ffm2M2Q5sA+Y6WpSIdAvdRi0iIiJ+R1dgRERExO8owIiIiIjfUYARERERv6MAIyIiIn5HAUZERET8jgKMiIiI+B0FGBEREfE7/x/OMV5+dNHlKAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 648x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# weight = np.cos(np.deg2rad(ds.lat))\n",
    "# weight /= weight.mean()\n",
    "# (ssh_anom * weight).mean(dim=('lon', 'lat')).plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cloud Storage\n",
    "\n",
    "Since we are in the cloud, we can also skip the whole \"download\" step and just work with data stored directly in cloud storage.\n",
    "\n",
    "There are a lot of different pieces that make this work:\n",
    "- [Pangeo Cloud Data Catalog](https://pangeo-data.github.io/pangeo-datastore/)\n",
    "- [Intake](https://intake.readthedocs.io/)\n",
    "- [Zarr](https://zarr.readthedocs.io/)\n",
    "\n",
    "We don't have time to go over them all.\n",
    "\n",
    "But here is an example from **Pangeo**:\n",
    "\n",
    "+ https://catalog.pangeo.io/browse/master/ocean/sea_surface_height/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['sea_surface_height',\n",
       " 'cesm_mom6_example',\n",
       " 'ECCOv4r3',\n",
       " 'SOSE',\n",
       " 'GODAS',\n",
       " 'ECCO_layers',\n",
       " 'altimetry',\n",
       " 'LLC4320',\n",
       " 'GFDL_CM2_6',\n",
       " 'CESM_POP',\n",
       " 'channel',\n",
       " 'MEOM_NEMO']"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from intake import open_catalog\n",
    "\n",
    "cat = open_catalog(\"https://raw.githubusercontent.com/pangeo-data/pangeo-datastore/master/intake-catalogs/ocean.yaml\")\n",
    "list(cat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ds = cat[\"sea_surface_height\"].to_dask()\n",
    "# ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ds.sla.data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}