Import_CI_from_raster_example.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The memory_profiler extension is already loaded. To reload it, use:\n",
      "  %reload_ext memory_profiler\n"
     ]
    }
   ],
   "source": [
    "import xarray as xr\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "%load_ext memory_profiler"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create INSAR Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set data cube dimension\n",
    "n_azimuth=2000\n",
    "n_range=1000\n",
    "n_time=4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# signal\n",
    "signal = np.zeros((n_time,n_azimuth,n_range))\n",
    "signal[0,:,:] = np.tile(np.linspace(0,np.pi,num=n_range), (n_azimuth,1))\n",
    "for i in range(1,n_time):\n",
    "    signal[i,:,:] = signal[0,:,:]+i\n",
    "\n",
    "# noise\n",
    "np.random.seed(0)\n",
    "noise = np.random.rand(n_time,n_azimuth,n_range)*2*np.pi\n",
    "\n",
    "# obs\n",
    "obs = signal + noise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7f9c3953e4c0>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x216 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,n_time)\n",
    "fig.set_size_inches(9,3)\n",
    "for i in range(n_time):\n",
    "    im = ax[i].imshow(obs[i], vmin=0, vmax=12)\n",
    "plt.colorbar(im)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
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       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
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       "\n",
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       "\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 4, azimuth: 2000, range: 1000)\n",
       "Coordinates:\n",
       "  * azimuth  (azimuth) int64 0 1 2 3 4 5 6 ... 1994 1995 1996 1997 1998 1999\n",
       "  * range    (range) int64 0 1 2 3 4 5 6 7 8 ... 992 993 994 995 996 997 998 999\n",
       "  * time     (time) int64 0 1 2 3\n",
       "Data variables:\n",
       "    obs      (time, azimuth, range) float64 3.448 4.497 3.794 ... 8.004 7.702</pre><div class='xr-wrap' style='display:none'><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-c9bded3e-4801-431c-bf7a-d1ca6fe2df5e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c9bded3e-4801-431c-bf7a-d1ca6fe2df5e' 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'>time</span>: 4</li><li><span class='xr-has-index'>azimuth</span>: 2000</li><li><span class='xr-has-index'>range</span>: 1000</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-42aec092-4982-4a63-8eb6-f83b8a57c0bd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-42aec092-4982-4a63-8eb6-f83b8a57c0bd' 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'>azimuth</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 1996 1997 1998 1999</div><input id='attrs-92fafb54-7dfd-4db8-b06c-15b2a4c035da' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-92fafb54-7dfd-4db8-b06c-15b2a4c035da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-724b925e-5a0e-433f-81c2-3ab821cb1434' class='xr-var-data-in' type='checkbox'><label for='data-724b925e-5a0e-433f-81c2-3ab821cb1434' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 1997, 1998, 1999])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 995 996 997 998 999</div><input id='attrs-4adcac16-9cae-422b-85b6-0a8e320bec73' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4adcac16-9cae-422b-85b6-0a8e320bec73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b3e5c00-d9be-4eec-b2a7-f4f0dca6a04f' class='xr-var-data-in' type='checkbox'><label for='data-4b3e5c00-d9be-4eec-b2a7-f4f0dca6a04f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 997, 998, 999])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-c347cfbd-8471-4081-b6c0-e01258049bc9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c347cfbd-8471-4081-b6c0-e01258049bc9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-300028d7-38df-4016-a7a1-728ff86bc411' class='xr-var-data-in' type='checkbox'><label for='data-300028d7-38df-4016-a7a1-728ff86bc411' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d8d660f5-b059-4c3b-b3b3-e432164faf15' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d8d660f5-b059-4c3b-b3b3-e432164faf15' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>obs</span></div><div class='xr-var-dims'>(time, azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.448 4.497 3.794 ... 8.004 7.702</div><input id='attrs-c5b9f7fb-a188-49c1-aad0-7095795ffd86' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c5b9f7fb-a188-49c1-aad0-7095795ffd86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07bb1c8c-827e-4b57-9965-f4233cd2f446' class='xr-var-data-in' type='checkbox'><label for='data-07bb1c8c-827e-4b57-9965-f4233cd2f446' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[ 3.44829694,  4.49681206,  3.79356346, ...,  9.03151981,\n",
       "          4.57507657,  7.39619594],\n",
       "        [ 3.72517661,  0.0663768 ,  2.99599364, ...,  6.1519095 ,\n",
       "          7.18396497,  6.29432622],\n",
       "        [ 5.09892093,  2.99446864,  3.2933755 , ...,  5.16862808,\n",
       "          8.25010202,  7.52348846],\n",
       "        ...,\n",
       "        [ 3.34125502,  4.38098714,  5.72962509, ...,  4.82854708,\n",
       "          8.25130125,  3.39594384],\n",
       "        [ 0.25450378,  4.6649426 ,  0.55336375, ...,  4.02672578,\n",
       "          6.53092243,  7.80392371],\n",
       "        [ 0.24206801,  1.64351812,  5.09516528, ...,  8.96835215,\n",
       "          8.74112606,  6.23210474]],\n",
       "\n",
       "       [[ 5.9606289 ,  2.88193543,  6.83138   , ...,  4.39316838,\n",
       "          6.47534806,  8.24814829],\n",
       "        [ 2.66409652,  1.63333252,  2.73078366, ...,  8.61417664,\n",
       "         10.00989683,  8.57412305],\n",
       "        [ 2.6962788 ,  6.58118629,  2.18403771, ...,  8.256945  ,\n",
       "          7.52997796,  4.8261986 ],\n",
       "...\n",
       "        [ 2.36772239,  4.77388107,  8.2387385 , ..., 10.14389545,\n",
       "          5.67037242,  9.7460928 ],\n",
       "        [ 8.26045325,  7.57971541,  5.83871304, ...,  5.34465831,\n",
       "          7.05949158,  6.41340905],\n",
       "        [ 6.40710549,  4.48263662,  7.32040137, ...,  8.00446189,\n",
       "         11.27714477,  5.55382812]],\n",
       "\n",
       "       [[ 6.61671439,  7.55560867,  5.91500093, ...,  9.60518165,\n",
       "          9.71445774,  8.33007131],\n",
       "        [ 7.93328611,  3.9580006 ,  7.00775525, ..., 12.01567133,\n",
       "          6.93834349, 10.48155186],\n",
       "        [ 5.5990042 ,  7.38089291,  6.88236053, ...,  6.63391244,\n",
       "         10.73105173,  7.24717932],\n",
       "        ...,\n",
       "        [ 5.7067881 ,  6.46129211,  4.71339131, ..., 11.25679596,\n",
       "          9.01801673,  9.5019992 ],\n",
       "        [ 4.31148401,  8.61282742,  8.18592285, ...,  6.46978996,\n",
       "          6.26953643, 11.82201566],\n",
       "        [ 8.17263888,  4.14390718,  8.8129008 , ..., 12.27938359,\n",
       "          8.00414491,  7.70171342]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b913ea47-39f8-4381-a5e3-505050feb5bf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b913ea47-39f8-4381-a5e3-505050feb5bf' 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.Dataset>\n",
       "Dimensions:  (time: 4, azimuth: 2000, range: 1000)\n",
       "Coordinates:\n",
       "  * azimuth  (azimuth) int64 0 1 2 3 4 5 6 ... 1994 1995 1996 1997 1998 1999\n",
       "  * range    (range) int64 0 1 2 3 4 5 6 7 8 ... 992 993 994 995 996 997 998 999\n",
       "  * time     (time) int64 0 1 2 3\n",
       "Data variables:\n",
       "    obs      (time, azimuth, range) float64 3.448 4.497 3.794 ... 8.004 7.702"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = xr.Dataset(\n",
    "    data_vars=dict(\n",
    "        obs=([\"time\", \"azimuth\", \"range\"], obs),\n",
    "    ),\n",
    "    coords=dict(\n",
    "        azimuth=np.arange(n_azimuth),\n",
    "        range=np.arange(n_range),\n",
    "        time=np.arange(n_time),\n",
    "    ),\n",
    ")\n",
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create sample contextual raster data-set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set contextual raster data cube dimension\n",
    "n_azimuth_ci=750\n",
    "n_range_ci=750\n",
    "n_time_ci=4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# signal\n",
    "signal = np.zeros((n_time_ci,n_azimuth_ci,n_range_ci))\n",
    "signal[0,:,:] = np.tile(np.linspace(0,np.pi,num=n_range_ci), (n_azimuth_ci,1))\n",
    "for i in range(1,n_time_ci):\n",
    "    signal[i,:,:] = signal[0,:,:]+i\n",
    "\n",
    "# noise\n",
    "np.random.seed(0)\n",
    "noise = np.random.rand(n_time_ci,n_azimuth_ci,n_range_ci)*2*np.pi\n",
    "\n",
    "# obs\n",
    "obs_ci = signal + noise + 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7f9c393702e0>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1008x216 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,n_time_ci)\n",
    "fig.set_size_inches(14,3)\n",
    "for i in range(n_time_ci):\n",
    "    im = ax[i].imshow(obs_ci[i])\n",
    "plt.colorbar(im)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 4, azimuth: 750, range: 750)\n",
       "Coordinates:\n",
       "  * azimuth  (azimuth) float64 0.0 2.667 5.333 ... 1.992e+03 1.995e+03 1.997e+03\n",
       "  * range    (range) float64 0.0 1.333 2.667 4.0 ... 994.7 996.0 997.3 998.7\n",
       "  * time     (time) float64 0.0 1.0 2.0 3.0\n",
       "Data variables:\n",
       "    CI_temp  (time, azimuth, range) float64 103.4 104.5 103.8 ... 110.4 107.2</pre><div class='xr-wrap' style='display:none'><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-acbfb876-d933-4e0c-9918-009525bcedc0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-acbfb876-d933-4e0c-9918-009525bcedc0' 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'>time</span>: 4</li><li><span class='xr-has-index'>azimuth</span>: 750</li><li><span class='xr-has-index'>range</span>: 750</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-37239d19-d550-4ed9-84cc-cc6f39650443' class='xr-section-summary-in' type='checkbox'  checked><label for='section-37239d19-d550-4ed9-84cc-cc6f39650443' 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'>azimuth</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.667 ... 1.995e+03 1.997e+03</div><input id='attrs-01d819cf-2c9b-4478-ba51-652b7a12f062' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-01d819cf-2c9b-4478-ba51-652b7a12f062' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e22ee20-b608-46c8-9355-9b4fb3db1d05' class='xr-var-data-in' type='checkbox'><label for='data-2e22ee20-b608-46c8-9355-9b4fb3db1d05' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0.      ,    2.666667,    5.333333, ..., 1992.      , 1994.666667,\n",
       "       1997.333333])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.333 2.667 ... 997.3 998.7</div><input id='attrs-2caeca79-fd7e-49f7-9cfa-99fc96d111ee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2caeca79-fd7e-49f7-9cfa-99fc96d111ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9770b756-8787-488a-b11b-5910b35d7eab' class='xr-var-data-in' type='checkbox'><label for='data-9770b756-8787-488a-b11b-5910b35d7eab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0.      ,   1.333333,   2.666667, ..., 996.      , 997.333333,\n",
       "       998.666667])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0</div><input id='attrs-acd57b4c-18a4-4f55-a865-995b8d46332b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-acd57b4c-18a4-4f55-a865-995b8d46332b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0cd7769-aa58-4389-9482-10e5ad8db687' class='xr-var-data-in' type='checkbox'><label for='data-d0cd7769-aa58-4389-9482-10e5ad8db687' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 1., 2., 3.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-87ef43cc-4f99-4ff9-8184-340b2b8ddb95' class='xr-section-summary-in' type='checkbox'  checked><label for='section-87ef43cc-4f99-4ff9-8184-340b2b8ddb95' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>CI_temp</span></div><div class='xr-var-dims'>(time, azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>103.4 104.5 103.8 ... 110.4 107.2</div><input id='attrs-a995b353-3b92-4361-8e92-0c6bc489859c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a995b353-3b92-4361-8e92-0c6bc489859c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a244c42a-d600-4e11-bcc3-32d57806fabe' class='xr-var-data-in' type='checkbox'><label for='data-a244c42a-d600-4e11-bcc3-32d57806fabe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[103.44829694, 104.4978617 , 103.79566275, ..., 107.65471069,\n",
       "         109.20940554, 106.33116087],\n",
       "        [101.88749201, 103.45680831, 105.85689525, ..., 103.83849139,\n",
       "         103.40357943, 104.57253152],\n",
       "        [102.80728523, 105.26315995, 101.40215025, ..., 109.20907879,\n",
       "         105.57255464, 107.45619336],\n",
       "        ...,\n",
       "        [103.84360077, 102.16449227, 100.1769727 , ..., 105.20892026,\n",
       "         103.59702707, 105.84144285],\n",
       "        [105.76417926, 103.52222605, 100.00945855, ..., 105.00845862,\n",
       "         105.99413057, 108.47018318],\n",
       "        [100.76888639, 104.9757464 , 105.69846235, ..., 109.15774955,\n",
       "         107.62426183, 106.35518209]],\n",
       "\n",
       "       [[106.61346738, 101.85852662, 106.73564277, ..., 107.51063518,\n",
       "         108.22391533, 104.88897846],\n",
       "        [102.22587211, 104.66904598, 106.0772643 , ..., 106.77990251,\n",
       "         105.24693216, 105.90448988],\n",
       "        [104.12320004, 102.53816715, 104.48202319, ..., 106.59120002,\n",
       "         107.53682075, 105.31101244],\n",
       "...\n",
       "        [102.43338595, 104.82123783, 104.49197427, ..., 106.17573757,\n",
       "         106.48830088, 108.79681883],\n",
       "        [102.74330561, 105.76766674, 103.02839359, ..., 109.39827447,\n",
       "         109.13420025, 106.58758117],\n",
       "        [104.89129443, 103.77533296, 106.70361604, ..., 109.34142297,\n",
       "         109.86645729, 108.06460499]],\n",
       "\n",
       "       [[103.74051508, 103.97293627, 106.60073096, ..., 106.20509765,\n",
       "         108.1374638 , 109.25283362],\n",
       "        [107.06434629, 108.04960349, 103.21082249, ..., 110.64986862,\n",
       "         111.44329148, 110.00766065],\n",
       "        [104.30718456, 109.19554314, 108.55577191, ..., 108.02302818,\n",
       "         109.74103063, 108.78970753],\n",
       "        ...,\n",
       "        [108.56989298, 108.47726385, 107.71257193, ..., 107.19554197,\n",
       "         110.53413116, 107.63306122],\n",
       "        [104.58515116, 107.08390667, 104.90552599, ..., 108.7319113 ,\n",
       "         109.06809082, 112.01521347],\n",
       "        [105.61689256, 104.73209936, 104.1615061 , ..., 107.06471366,\n",
       "         110.37102648, 107.20263585]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4a56e96b-d557-4173-8443-f093579f5ba4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4a56e96b-d557-4173-8443-f093579f5ba4' 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.Dataset>\n",
       "Dimensions:  (time: 4, azimuth: 750, range: 750)\n",
       "Coordinates:\n",
       "  * azimuth  (azimuth) float64 0.0 2.667 5.333 ... 1.992e+03 1.995e+03 1.997e+03\n",
       "  * range    (range) float64 0.0 1.333 2.667 4.0 ... 994.7 996.0 997.3 998.7\n",
       "  * time     (time) float64 0.0 1.0 2.0 3.0\n",
       "Data variables:\n",
       "    CI_temp  (time, azimuth, range) float64 103.4 104.5 103.8 ... 110.4 107.2"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_ci = xr.Dataset(\n",
    "    data_vars=dict(\n",
    "        CI_temp=([\"time\", \"azimuth\", \"range\"], obs_ci),\n",
    "    ),\n",
    "    coords=dict(\n",
    "        azimuth=np.arange(n_azimuth_ci)*(n_azimuth/n_azimuth_ci),\n",
    "        range=np.arange(n_range_ci)*(n_range/n_range_ci),\n",
    "        time=np.arange(n_time_ci)*(n_time/n_time_ci),\n",
    "    ),\n",
    ")\n",
    "ds_ci"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Select closest CI for INSAR coordinates with xarray_sel( ) from raster SAR data (i.e with sparse representation)\n",
    "\n",
    "*** Note that the resultant coordinate system is of the CI dataset from which we are selecting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "\n",
       ".xr-attrs dt {\n",
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       "\n",
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       "\n",
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       ".xr-icon-file-text2 {\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 4, azimuth: 2000, range: 1000)\n",
       "Coordinates:\n",
       "  * azimuth  (azimuth) float64 0.0 0.0 2.667 ... 1.997e+03 1.997e+03 1.997e+03\n",
       "  * range    (range) float64 0.0 1.333 2.667 2.667 ... 996.0 997.3 998.7 998.7\n",
       "  * time     (time) float64 0.0 1.0 2.0 3.0\n",
       "Data variables:\n",
       "    CI_temp  (time, azimuth, range) float64 103.4 104.5 103.8 ... 107.2 107.2</pre><div class='xr-wrap' style='display:none'><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-00769142-e4fe-4b3d-b5f8-8e19bd8d12df' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-00769142-e4fe-4b3d-b5f8-8e19bd8d12df' 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'>time</span>: 4</li><li><span class='xr-has-index'>azimuth</span>: 2000</li><li><span class='xr-has-index'>range</span>: 1000</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-be65ef7a-00f7-46d5-98a1-146b4288e725' class='xr-section-summary-in' type='checkbox'  checked><label for='section-be65ef7a-00f7-46d5-98a1-146b4288e725' 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'>azimuth</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 ... 1.997e+03 1.997e+03</div><input id='attrs-1f57693b-9dda-4aba-a553-a04e21ed1272' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1f57693b-9dda-4aba-a553-a04e21ed1272' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1dd949f8-44cc-484c-889b-ac2ada10433d' class='xr-var-data-in' type='checkbox'><label for='data-1dd949f8-44cc-484c-889b-ac2ada10433d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0.      ,    0.      ,    2.666667, ..., 1997.333333, 1997.333333,\n",
       "       1997.333333])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.333 2.667 ... 998.7 998.7</div><input id='attrs-83e91cb3-2ea4-421b-94be-453502613585' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-83e91cb3-2ea4-421b-94be-453502613585' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05cc737a-8d1d-49b4-8478-90beb0dcea90' class='xr-var-data-in' type='checkbox'><label for='data-05cc737a-8d1d-49b4-8478-90beb0dcea90' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0.      ,   1.333333,   2.666667, ..., 997.333333, 998.666667,\n",
       "       998.666667])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0</div><input id='attrs-9b106aec-3652-4391-8775-62cd588a0a39' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9b106aec-3652-4391-8775-62cd588a0a39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a1f7488-dfc5-4c3e-945a-92f42357bb91' class='xr-var-data-in' type='checkbox'><label for='data-4a1f7488-dfc5-4c3e-945a-92f42357bb91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 1., 2., 3.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-371f1f4b-9b2a-4426-a8be-8c5ae478659e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-371f1f4b-9b2a-4426-a8be-8c5ae478659e' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>CI_temp</span></div><div class='xr-var-dims'>(time, azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>103.4 104.5 103.8 ... 107.2 107.2</div><input id='attrs-6b9712be-6985-493a-bc89-d5ac2862da6e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6b9712be-6985-493a-bc89-d5ac2862da6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9037682-5aeb-4834-8638-de798ccbd489' class='xr-var-data-in' type='checkbox'><label for='data-e9037682-5aeb-4834-8638-de798ccbd489' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[103.44829694, 104.4978617 , 103.79566275, ..., 109.20940554,\n",
       "         106.33116087, 106.33116087],\n",
       "        [103.44829694, 104.4978617 , 103.79566275, ..., 109.20940554,\n",
       "         106.33116087, 106.33116087],\n",
       "        [101.88749201, 103.45680831, 105.85689525, ..., 103.40357943,\n",
       "         104.57253152, 104.57253152],\n",
       "        ...,\n",
       "        [100.76888639, 104.9757464 , 105.69846235, ..., 107.62426183,\n",
       "         106.35518209, 106.35518209],\n",
       "        [100.76888639, 104.9757464 , 105.69846235, ..., 107.62426183,\n",
       "         106.35518209, 106.35518209],\n",
       "        [100.76888639, 104.9757464 , 105.69846235, ..., 107.62426183,\n",
       "         106.35518209, 106.35518209]],\n",
       "\n",
       "       [[106.61346738, 101.85852662, 106.73564277, ..., 108.22391533,\n",
       "         104.88897846, 104.88897846],\n",
       "        [106.61346738, 101.85852662, 106.73564277, ..., 108.22391533,\n",
       "         104.88897846, 104.88897846],\n",
       "        [102.22587211, 104.66904598, 106.0772643 , ..., 105.24693216,\n",
       "         105.90448988, 105.90448988],\n",
       "...\n",
       "        [104.89129443, 103.77533296, 106.70361604, ..., 109.86645729,\n",
       "         108.06460499, 108.06460499],\n",
       "        [104.89129443, 103.77533296, 106.70361604, ..., 109.86645729,\n",
       "         108.06460499, 108.06460499],\n",
       "        [104.89129443, 103.77533296, 106.70361604, ..., 109.86645729,\n",
       "         108.06460499, 108.06460499]],\n",
       "\n",
       "       [[103.74051508, 103.97293627, 106.60073096, ..., 108.1374638 ,\n",
       "         109.25283362, 109.25283362],\n",
       "        [103.74051508, 103.97293627, 106.60073096, ..., 108.1374638 ,\n",
       "         109.25283362, 109.25283362],\n",
       "        [107.06434629, 108.04960349, 103.21082249, ..., 111.44329148,\n",
       "         110.00766065, 110.00766065],\n",
       "        ...,\n",
       "        [105.61689256, 104.73209936, 104.1615061 , ..., 110.37102648,\n",
       "         107.20263585, 107.20263585],\n",
       "        [105.61689256, 104.73209936, 104.1615061 , ..., 110.37102648,\n",
       "         107.20263585, 107.20263585],\n",
       "        [105.61689256, 104.73209936, 104.1615061 , ..., 110.37102648,\n",
       "         107.20263585, 107.20263585]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1a5d246d-42ed-4633-b2ac-a6cd2888170f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1a5d246d-42ed-4633-b2ac-a6cd2888170f' 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.Dataset>\n",
       "Dimensions:  (time: 4, azimuth: 2000, range: 1000)\n",
       "Coordinates:\n",
       "  * azimuth  (azimuth) float64 0.0 0.0 2.667 ... 1.997e+03 1.997e+03 1.997e+03\n",
       "  * range    (range) float64 0.0 1.333 2.667 2.667 ... 996.0 997.3 998.7 998.7\n",
       "  * time     (time) float64 0.0 1.0 2.0 3.0\n",
       "Data variables:\n",
       "    CI_temp  (time, azimuth, range) float64 103.4 104.5 103.8 ... 107.2 107.2"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_ci_sel = ds_ci.sel(azimuth = ds['azimuth'], range = ds['range'], method = 'nearest')\n",
    "ds_ci_sel"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Select closest CI for SAR coordinates and reindex to SAR coordinates with xarray_reindex( ) from raster SAR data (i.e with sparse representation)\n",
    "\n",
    "*** Note that the resultant coordinate system is now the same as the SAR coordinate system"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (azimuth: 2000, range: 1000, time: 4)\n",
       "Coordinates:\n",
       "  * azimuth  (azimuth) int64 0 1 2 3 4 5 6 ... 1994 1995 1996 1997 1998 1999\n",
       "  * range    (range) int64 0 1 2 3 4 5 6 7 8 ... 992 993 994 995 996 997 998 999\n",
       "  * time     (time) float64 0.0 1.0 2.0 3.0\n",
       "Data variables:\n",
       "    CI_temp  (time, azimuth, range) float64 103.4 104.5 103.8 ... 107.2 107.2</pre><div class='xr-wrap' style='display:none'><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-7a936afe-ae78-44ae-8959-73619757f01e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7a936afe-ae78-44ae-8959-73619757f01e' 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'>azimuth</span>: 2000</li><li><span class='xr-has-index'>range</span>: 1000</li><li><span class='xr-has-index'>time</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ecb92502-1eef-46aa-b7e7-81f5ef4912d0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ecb92502-1eef-46aa-b7e7-81f5ef4912d0' 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'>azimuth</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 1996 1997 1998 1999</div><input id='attrs-6807d31b-23ba-44d5-bae8-c315f0817e1a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6807d31b-23ba-44d5-bae8-c315f0817e1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77813043-34fe-4a79-86bc-6fd0976afc47' class='xr-var-data-in' type='checkbox'><label for='data-77813043-34fe-4a79-86bc-6fd0976afc47' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 1997, 1998, 1999])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 995 996 997 998 999</div><input id='attrs-dddbc196-70a2-4fe2-9249-55ddb239d8dd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dddbc196-70a2-4fe2-9249-55ddb239d8dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11b4e827-fb9f-485b-9c8c-7e231e74543a' class='xr-var-data-in' type='checkbox'><label for='data-11b4e827-fb9f-485b-9c8c-7e231e74543a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 997, 998, 999])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0</div><input id='attrs-61fb62c7-3708-4dd2-be3f-d51f00a070c2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-61fb62c7-3708-4dd2-be3f-d51f00a070c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9986375-942f-4cdc-8ff6-be47eaf6b015' class='xr-var-data-in' type='checkbox'><label for='data-c9986375-942f-4cdc-8ff6-be47eaf6b015' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 1., 2., 3.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7ef5e140-d77a-44a3-ae4a-36181cea8ffb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7ef5e140-d77a-44a3-ae4a-36181cea8ffb' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>CI_temp</span></div><div class='xr-var-dims'>(time, azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>103.4 104.5 103.8 ... 107.2 107.2</div><input id='attrs-9072a7d5-e738-4212-bad0-d6516aa536ba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9072a7d5-e738-4212-bad0-d6516aa536ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4813381f-0ce4-4cb4-8964-109e0d2765f2' class='xr-var-data-in' type='checkbox'><label for='data-4813381f-0ce4-4cb4-8964-109e0d2765f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[103.44829694, 104.4978617 , 103.79566275, ..., 109.20940554,\n",
       "         106.33116087, 106.33116087],\n",
       "        [103.44829694, 104.4978617 , 103.79566275, ..., 109.20940554,\n",
       "         106.33116087, 106.33116087],\n",
       "        [101.88749201, 103.45680831, 105.85689525, ..., 103.40357943,\n",
       "         104.57253152, 104.57253152],\n",
       "        ...,\n",
       "        [100.76888639, 104.9757464 , 105.69846235, ..., 107.62426183,\n",
       "         106.35518209, 106.35518209],\n",
       "        [100.76888639, 104.9757464 , 105.69846235, ..., 107.62426183,\n",
       "         106.35518209, 106.35518209],\n",
       "        [100.76888639, 104.9757464 , 105.69846235, ..., 107.62426183,\n",
       "         106.35518209, 106.35518209]],\n",
       "\n",
       "       [[106.61346738, 101.85852662, 106.73564277, ..., 108.22391533,\n",
       "         104.88897846, 104.88897846],\n",
       "        [106.61346738, 101.85852662, 106.73564277, ..., 108.22391533,\n",
       "         104.88897846, 104.88897846],\n",
       "        [102.22587211, 104.66904598, 106.0772643 , ..., 105.24693216,\n",
       "         105.90448988, 105.90448988],\n",
       "...\n",
       "        [104.89129443, 103.77533296, 106.70361604, ..., 109.86645729,\n",
       "         108.06460499, 108.06460499],\n",
       "        [104.89129443, 103.77533296, 106.70361604, ..., 109.86645729,\n",
       "         108.06460499, 108.06460499],\n",
       "        [104.89129443, 103.77533296, 106.70361604, ..., 109.86645729,\n",
       "         108.06460499, 108.06460499]],\n",
       "\n",
       "       [[103.74051508, 103.97293627, 106.60073096, ..., 108.1374638 ,\n",
       "         109.25283362, 109.25283362],\n",
       "        [103.74051508, 103.97293627, 106.60073096, ..., 108.1374638 ,\n",
       "         109.25283362, 109.25283362],\n",
       "        [107.06434629, 108.04960349, 103.21082249, ..., 111.44329148,\n",
       "         110.00766065, 110.00766065],\n",
       "        ...,\n",
       "        [105.61689256, 104.73209936, 104.1615061 , ..., 110.37102648,\n",
       "         107.20263585, 107.20263585],\n",
       "        [105.61689256, 104.73209936, 104.1615061 , ..., 110.37102648,\n",
       "         107.20263585, 107.20263585],\n",
       "        [105.61689256, 104.73209936, 104.1615061 , ..., 110.37102648,\n",
       "         107.20263585, 107.20263585]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8d587a29-8130-4c6a-accb-dfa796436db0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8d587a29-8130-4c6a-accb-dfa796436db0' 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.Dataset>\n",
       "Dimensions:  (azimuth: 2000, range: 1000, time: 4)\n",
       "Coordinates:\n",
       "  * azimuth  (azimuth) int64 0 1 2 3 4 5 6 ... 1994 1995 1996 1997 1998 1999\n",
       "  * range    (range) int64 0 1 2 3 4 5 6 7 8 ... 992 993 994 995 996 997 998 999\n",
       "  * time     (time) float64 0.0 1.0 2.0 3.0\n",
       "Data variables:\n",
       "    CI_temp  (time, azimuth, range) float64 103.4 104.5 103.8 ... 107.2 107.2"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_ci_reind = ds_ci.reindex(azimuth = ds['azimuth'], range = ds['range'], method = 'nearest')\n",
    "ds_ci_reind"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Interpolation can be performed using the inbuilt `interp()` function"
   ]
  },
  {
   "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:  (time: 4, azimuth: 2000, range: 1000)\n",
       "Coordinates:\n",
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       "  * range    (range) int64 0 1 2 3 4 5 6 7 8 ... 992 993 994 995 996 997 998 999\n",
       "Data variables:\n",
       "    CI_temp  (time, azimuth, range) float64 103.4 104.5 104.5 ... nan nan nan</pre><div class='xr-wrap' style='display:none'><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-7575a521-07eb-4257-a3d2-8846f9ebba66' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7575a521-07eb-4257-a3d2-8846f9ebba66' 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'>time</span>: 4</li><li><span class='xr-has-index'>azimuth</span>: 2000</li><li><span class='xr-has-index'>range</span>: 1000</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d3f2a07d-097e-44cb-bbe1-a1add9c9b78b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d3f2a07d-097e-44cb-bbe1-a1add9c9b78b' 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'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0</div><input id='attrs-9ed0db80-82c4-4200-9f44-c59211e5a954' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9ed0db80-82c4-4200-9f44-c59211e5a954' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63bf91a6-5c26-4244-8d83-7744daa90c21' class='xr-var-data-in' type='checkbox'><label for='data-63bf91a6-5c26-4244-8d83-7744daa90c21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 1., 2., 3.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>azimuth</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 1996 1997 1998 1999</div><input id='attrs-b6e77ab7-c190-4324-a302-69695a5e02af' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b6e77ab7-c190-4324-a302-69695a5e02af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b4daeb4-da5c-4cad-9c7d-9dd07a112599' class='xr-var-data-in' type='checkbox'><label for='data-9b4daeb4-da5c-4cad-9c7d-9dd07a112599' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 1997, 1998, 1999])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 995 996 997 998 999</div><input id='attrs-a5e642d1-2e2e-46db-9243-9f5b1a4dba35' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a5e642d1-2e2e-46db-9243-9f5b1a4dba35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5bf29707-8e6a-4609-b078-c4d7aa2cb42b' class='xr-var-data-in' type='checkbox'><label for='data-5bf29707-8e6a-4609-b078-c4d7aa2cb42b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 997, 998, 999])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6d2f7a7c-6e0a-41a1-8f27-abcdf175280a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6d2f7a7c-6e0a-41a1-8f27-abcdf175280a' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>CI_temp</span></div><div class='xr-var-dims'>(time, azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>103.4 104.5 104.5 ... nan nan nan</div><input id='attrs-23f91033-5c75-4263-af17-8d58c0a433c3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-23f91033-5c75-4263-af17-8d58c0a433c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2f78c65-4d51-4700-9752-65d0a6215160' class='xr-var-data-in' type='checkbox'><label for='data-b2f78c65-4d51-4700-9752-65d0a6215160' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[103.44829694, 104.4978617 , 104.4978617 , ..., 109.20940554,\n",
       "         109.20940554,          nan],\n",
       "        [103.44829694, 104.4978617 , 104.4978617 , ..., 109.20940554,\n",
       "         109.20940554,          nan],\n",
       "        [101.88749201, 103.45680831, 103.45680831, ..., 103.40357943,\n",
       "         103.40357943,          nan],\n",
       "        ...,\n",
       "        [100.76888639, 104.9757464 , 104.9757464 , ..., 107.62426183,\n",
       "         107.62426183,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan]],\n",
       "\n",
       "       [[106.61346738, 101.85852662, 101.85852662, ..., 108.22391533,\n",
       "         108.22391533,          nan],\n",
       "        [106.61346738, 101.85852662, 101.85852662, ..., 108.22391533,\n",
       "         108.22391533,          nan],\n",
       "        [102.22587211, 104.66904598, 104.66904598, ..., 105.24693216,\n",
       "         105.24693216,          nan],\n",
       "...\n",
       "        [104.89129443, 103.77533296, 103.77533296, ..., 109.86645729,\n",
       "         109.86645729,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan]],\n",
       "\n",
       "       [[103.74051508, 103.97293627, 103.97293627, ..., 108.1374638 ,\n",
       "         108.1374638 ,          nan],\n",
       "        [103.74051508, 103.97293627, 103.97293627, ..., 108.1374638 ,\n",
       "         108.1374638 ,          nan],\n",
       "        [107.06434629, 108.04960349, 108.04960349, ..., 111.44329148,\n",
       "         111.44329148,          nan],\n",
       "        ...,\n",
       "        [105.61689256, 104.73209936, 104.73209936, ..., 110.37102648,\n",
       "         110.37102648,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-510476b0-50c1-4eb1-ba6d-2b38b3113285' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-510476b0-50c1-4eb1-ba6d-2b38b3113285' 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.Dataset>\n",
       "Dimensions:  (time: 4, azimuth: 2000, range: 1000)\n",
       "Coordinates:\n",
       "  * time     (time) float64 0.0 1.0 2.0 3.0\n",
       "  * azimuth  (azimuth) int64 0 1 2 3 4 5 6 ... 1994 1995 1996 1997 1998 1999\n",
       "  * range    (range) int64 0 1 2 3 4 5 6 7 8 ... 992 993 994 995 996 997 998 999\n",
       "Data variables:\n",
       "    CI_temp  (time, azimuth, range) float64 103.4 104.5 104.5 ... nan nan nan"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_ci_interp = ds_ci.interp(azimuth = ds['azimuth'], range = ds['range'], method = 'nearest')\n",
    "ds_ci_interp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "CI raster data import for point-set from SAR data-set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<xarray.DataArray 'obs' ()>\n",
      "array(34885)\n"
     ]
    },
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       ".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.Dataset&gt;\n",
       "Dimensions:  (time: 4, points: 34885)\n",
       "Coordinates:\n",
       "  * time     (time) int64 0 1 2 3\n",
       "  * points   (points) object MultiIndex\n",
       "  * azimuth  (points) int64 0 0 0 0 0 0 0 ... 1999 1999 1999 1999 1999 1999 1999\n",
       "  * range    (points) int64 20 71 163 165 244 281 ... 743 768 769 850 905 948\n",
       "Data variables:\n",
       "    obs      (time, points) float64 6.212 3.168 5.956 ... 6.254 8.466 6.026</pre><div class='xr-wrap' style='display:none'><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-8b656dfb-e750-4574-a269-21d0e56ee3be' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8b656dfb-e750-4574-a269-21d0e56ee3be' 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'>time</span>: 4</li><li><span class='xr-has-index'>points</span>: 34885</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-593f6392-156a-478e-a3c3-de9bea47e04a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-593f6392-156a-478e-a3c3-de9bea47e04a' 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'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-d5e9b453-af69-4b24-b58e-00271dcc03f7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d5e9b453-af69-4b24-b58e-00271dcc03f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4b4ae43-1ab6-47d6-bc54-e1c680fa74c0' class='xr-var-data-in' type='checkbox'><label for='data-e4b4ae43-1ab6-47d6-bc54-e1c680fa74c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>points</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>MultiIndex</div><input id='attrs-06c74e3a-a763-45be-8603-ffd97eb9bcd1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-06c74e3a-a763-45be-8603-ffd97eb9bcd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6304a99-03f0-483e-9827-e524d235f519' class='xr-var-data-in' type='checkbox'><label for='data-c6304a99-03f0-483e-9827-e524d235f519' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([(0, 20), (0, 71), (0, 163), ..., (1999, 850), (1999, 905), (1999, 948)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>azimuth</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 ... 1999 1999 1999 1999</div><input id='attrs-930215d7-8e0e-4a64-9a39-e030267d510b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-930215d7-8e0e-4a64-9a39-e030267d510b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3270c359-5dc2-4bae-828a-ac41e4565b6a' class='xr-var-data-in' type='checkbox'><label for='data-3270c359-5dc2-4bae-828a-ac41e4565b6a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0,    0,    0, ..., 1999, 1999, 1999])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>20 71 163 165 ... 769 850 905 948</div><input id='attrs-b82cfce1-d181-4f57-9ac4-864ec7654ad9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b82cfce1-d181-4f57-9ac4-864ec7654ad9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa46761f-122d-40fe-863e-bea1120e8b95' class='xr-var-data-in' type='checkbox'><label for='data-aa46761f-122d-40fe-863e-bea1120e8b95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 20,  71, 163, ..., 850, 905, 948])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0314ced7-582d-43b7-8462-207313a96f1b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0314ced7-582d-43b7-8462-207313a96f1b' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>obs</span></div><div class='xr-var-dims'>(time, points)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.212 3.168 5.956 ... 8.466 6.026</div><input id='attrs-ac3b8ed6-8259-4898-b364-93398290cd18' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ac3b8ed6-8259-4898-b364-93398290cd18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c51526bd-89d7-43f6-98e8-0b8d52a24a7c' class='xr-var-data-in' type='checkbox'><label for='data-c51526bd-89d7-43f6-98e8-0b8d52a24a7c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[6.21173514, 3.1678987 , 5.9562329 , ..., 6.07099455, 8.24343044,\n",
       "        6.66401   ],\n",
       "       [5.50586078, 3.93348169, 5.55785111, ..., 6.29222683, 7.86329269,\n",
       "        7.04848954],\n",
       "       [6.43469403, 3.83944848, 5.80963397, ..., 5.3242235 , 9.23190343,\n",
       "        7.08823624],\n",
       "       [6.38950621, 3.58520786, 6.68484908, ..., 6.25370469, 8.46605339,\n",
       "        6.02572225]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2eace4db-7da2-47d4-8f0e-c7d0361a1a02' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2eace4db-7da2-47d4-8f0e-c7d0361a1a02' 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.Dataset>\n",
       "Dimensions:  (time: 4, points: 34885)\n",
       "Coordinates:\n",
       "  * time     (time) int64 0 1 2 3\n",
       "  * points   (points) object MultiIndex\n",
       "  * azimuth  (points) int64 0 0 0 0 0 0 0 ... 1999 1999 1999 1999 1999 1999 1999\n",
       "  * range    (points) int64 20 71 163 165 244 281 ... 743 768 769 850 905 948\n",
       "Data variables:\n",
       "    obs      (time, points) float64 6.212 3.168 5.956 ... 6.254 8.466 6.026"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Select the low std pixels\n",
    "mask = ds.obs.std(axis=0)<0.5\n",
    "print(mask.sum())\n",
    "ds_masked = ds.where(mask)\n",
    "pointset = ds_masked.stack(points=('azimuth', 'range'))\n",
    "pointset = pointset.dropna('points', subset=['obs'])\n",
    "pointset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;azimuth&#x27; (points: 34885)&gt;\n",
       "array([   0,    0,    0, ..., 1999, 1999, 1999])\n",
       "Coordinates:\n",
       "  * points   (points) object MultiIndex\n",
       "  * azimuth  (points) int64 0 0 0 0 0 0 0 ... 1999 1999 1999 1999 1999 1999 1999\n",
       "  * range    (points) int64 20 71 163 165 244 281 ... 743 768 769 850 905 948</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'azimuth'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>points</span>: 34885</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-64c39857-a557-42f0-9286-19d0f2a05bf9' class='xr-array-in' type='checkbox' checked><label for='section-64c39857-a557-42f0-9286-19d0f2a05bf9' 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>0 0 0 0 0 0 0 0 0 0 ... 1999 1999 1999 1999 1999 1999 1999 1999 1999</span></div><div class='xr-array-data'><pre>array([   0,    0,    0, ..., 1999, 1999, 1999])</pre></div></div></li><li class='xr-section-item'><input id='section-4580227b-ecc9-4eec-b315-56f1d4e3cc4a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4580227b-ecc9-4eec-b315-56f1d4e3cc4a' 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'>points</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>MultiIndex</div><input id='attrs-75a446ee-7bd6-427a-8c3b-9035ecad9d5d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-75a446ee-7bd6-427a-8c3b-9035ecad9d5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f27fce0c-4534-474c-ac09-b4caca26b3a5' class='xr-var-data-in' type='checkbox'><label for='data-f27fce0c-4534-474c-ac09-b4caca26b3a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([(0, 20), (0, 71), (0, 163), ..., (1999, 850), (1999, 905), (1999, 948)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>azimuth</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 ... 1999 1999 1999 1999</div><input id='attrs-babf15fa-ca9e-4e7c-91a3-42566ba1aed9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-babf15fa-ca9e-4e7c-91a3-42566ba1aed9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-777c1b5a-1b1e-4f0e-a7af-5bbf608ab050' class='xr-var-data-in' type='checkbox'><label for='data-777c1b5a-1b1e-4f0e-a7af-5bbf608ab050' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0,    0,    0, ..., 1999, 1999, 1999])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>20 71 163 165 ... 769 850 905 948</div><input id='attrs-3ce42620-4aa0-4523-9b29-28c194806c01' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3ce42620-4aa0-4523-9b29-28c194806c01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc8a952a-d956-4e70-a73f-034c8ffb70a3' class='xr-var-data-in' type='checkbox'><label for='data-fc8a952a-d956-4e70-a73f-034c8ffb70a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 20,  71, 163, ..., 850, 905, 948])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a96178cb-3b13-42e1-a7ad-5405cd57e441' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a96178cb-3b13-42e1-a7ad-5405cd57e441' 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 'azimuth' (points: 34885)>\n",
       "array([   0,    0,    0, ..., 1999, 1999, 1999])\n",
       "Coordinates:\n",
       "  * points   (points) object MultiIndex\n",
       "  * azimuth  (points) int64 0 0 0 0 0 0 0 ... 1999 1999 1999 1999 1999 1999 1999\n",
       "  * range    (points) int64 20 71 163 165 244 281 ... 743 768 769 850 905 948"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pointset.points['azimuth']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
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       "  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.Dataset&gt;\n",
       "Dimensions:  (time: 4, points: 34885)\n",
       "Coordinates:\n",
       "    azimuth  (points) float64 0.0 0.0 0.0 0.0 ... 1.997e+03 1.997e+03 1.997e+03\n",
       "    range    (points) float64 20.0 70.67 162.7 165.3 ... 769.3 850.7 905.3 948.0\n",
       "  * time     (time) float64 0.0 1.0 2.0 3.0\n",
       "    points   (points) object (0, 20) (0, 71) ... (1999, 905) (1999, 948)\n",
       "Data variables:\n",
       "    CI_temp  (time, points) float64 100.6 100.9 106.5 ... 106.6 108.1 106.4</pre><div class='xr-wrap' style='display:none'><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-4af34a66-353b-4905-8cfe-344164414600' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4af34a66-353b-4905-8cfe-344164414600' 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'>time</span>: 4</li><li><span>points</span>: 34885</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d63e0882-70c2-42e4-978d-cd52cf676fb2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d63e0882-70c2-42e4-978d-cd52cf676fb2' 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>azimuth</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 1.997e+03 1.997e+03</div><input id='attrs-4e216724-c9a5-412a-ba25-8923453bd768' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4e216724-c9a5-412a-ba25-8923453bd768' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb3cbbec-4d07-4f86-8e4a-c6448734e2a8' class='xr-var-data-in' type='checkbox'><label for='data-eb3cbbec-4d07-4f86-8e4a-c6448734e2a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0.      ,    0.      ,    0.      , ..., 1997.333333, 1997.333333,\n",
       "       1997.333333])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>range</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>20.0 70.67 162.7 ... 905.3 948.0</div><input id='attrs-8841297e-c4ac-498e-8a40-bf718a1fb35f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8841297e-c4ac-498e-8a40-bf718a1fb35f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c221cb0-9ec2-4c2b-8c43-3d00e5c8731c' class='xr-var-data-in' type='checkbox'><label for='data-2c221cb0-9ec2-4c2b-8c43-3d00e5c8731c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 20.      ,  70.666667, 162.666667, ..., 850.666667, 905.333333,\n",
       "       948.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0</div><input id='attrs-2c7b763b-5bf2-47aa-ade5-243ac903b090' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2c7b763b-5bf2-47aa-ade5-243ac903b090' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26b8dfab-978c-4961-97b7-69bc1ffbb952' class='xr-var-data-in' type='checkbox'><label for='data-26b8dfab-978c-4961-97b7-69bc1ffbb952' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 1., 2., 3.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>points</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>(0, 20) (0, 71) ... (1999, 948)</div><input id='attrs-ed65a90b-1cbf-4af5-93e8-2bbf356f9e58' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ed65a90b-1cbf-4af5-93e8-2bbf356f9e58' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-119993e8-05c4-458c-8b48-a3dcfdccc1a0' class='xr-var-data-in' type='checkbox'><label for='data-119993e8-05c4-458c-8b48-a3dcfdccc1a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([(0, 20), (0, 71), (0, 163), ..., (1999, 850), (1999, 905),\n",
       "       (1999, 948)], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3e12c06f-559b-4197-95cf-2bb95a61f916' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3e12c06f-559b-4197-95cf-2bb95a61f916' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>CI_temp</span></div><div class='xr-var-dims'>(time, points)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>100.6 100.9 106.5 ... 108.1 106.4</div><input id='attrs-8d830660-a361-46bf-848c-8635f01360bf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8d830660-a361-46bf-848c-8635f01360bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9dbadb0c-3da0-4915-a043-280d3a19dff0' class='xr-var-data-in' type='checkbox'><label for='data-9dbadb0c-3da0-4915-a043-280d3a19dff0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[100.61036528, 100.86346874, 106.51896534, ..., 104.47967201,\n",
       "        103.51777995, 103.4074196 ],\n",
       "       [105.24045736, 101.76711032, 102.06808896, ..., 105.73878575,\n",
       "        107.41649358, 108.11267627],\n",
       "       [103.58884445, 103.87235178, 108.4664844 , ..., 107.92014657,\n",
       "        111.08194965, 105.24802185],\n",
       "       [104.89503598, 104.14789027, 105.2382419 , ..., 106.64515408,\n",
       "        108.1354277 , 106.35132733]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ead6e9a1-9455-4c2c-9c05-1c4729ea91d1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ead6e9a1-9455-4c2c-9c05-1c4729ea91d1' 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.Dataset>\n",
       "Dimensions:  (time: 4, points: 34885)\n",
       "Coordinates:\n",
       "    azimuth  (points) float64 0.0 0.0 0.0 0.0 ... 1.997e+03 1.997e+03 1.997e+03\n",
       "    range    (points) float64 20.0 70.67 162.7 165.3 ... 769.3 850.7 905.3 948.0\n",
       "  * time     (time) float64 0.0 1.0 2.0 3.0\n",
       "    points   (points) object (0, 20) (0, 71) ... (1999, 905) (1999, 948)\n",
       "Data variables:\n",
       "    CI_temp  (time, points) float64 100.6 100.9 106.5 ... 106.6 108.1 106.4"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_ci_ps_sel = ds_ci.sel(azimuth = pointset.points['azimuth'], range = pointset.points['range'], method = 'nearest')\n",
    "ds_ci_ps_sel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       ".xr-var-data {\n",
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
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       "\n",
       ".xr-attrs dt {\n",
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       "\n",
       ".xr-attrs dt:hover span {\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 4, points: 34885)\n",
       "Coordinates:\n",
       "  * time     (time) float64 0.0 1.0 2.0 3.0\n",
       "  * azimuth  (points) int64 0 0 0 0 0 0 0 ... 1999 1999 1999 1999 1999 1999 1999\n",
       "  * range    (points) int64 20 71 163 165 244 281 ... 743 768 769 850 905 948\n",
       "  * points   (points) object MultiIndex\n",
       "Data variables:\n",
       "    CI_temp  (time, points) float64 100.6 100.9 106.5 103.2 ... nan nan nan nan</pre><div class='xr-wrap' style='display:none'><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-fbd1a145-b36f-40b4-86af-3978b1fc6c31' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fbd1a145-b36f-40b4-86af-3978b1fc6c31' 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'>time</span>: 4</li><li><span class='xr-has-index'>points</span>: 34885</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-37a664ab-6300-44f8-9ca2-00b1fd6d702b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-37a664ab-6300-44f8-9ca2-00b1fd6d702b' 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'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0</div><input id='attrs-3221bfb6-3f7b-4d83-a764-b451d78eb3c4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3221bfb6-3f7b-4d83-a764-b451d78eb3c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4f0399e-125a-493c-8caa-5656657c714f' class='xr-var-data-in' type='checkbox'><label for='data-d4f0399e-125a-493c-8caa-5656657c714f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 1., 2., 3.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>azimuth</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 ... 1999 1999 1999 1999</div><input id='attrs-fef83fa0-4596-4b2c-accb-79aab4167829' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fef83fa0-4596-4b2c-accb-79aab4167829' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23c6a198-df95-4cb7-b76b-b2e29f840523' class='xr-var-data-in' type='checkbox'><label for='data-23c6a198-df95-4cb7-b76b-b2e29f840523' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0,    0,    0, ..., 1999, 1999, 1999])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>20 71 163 165 ... 769 850 905 948</div><input id='attrs-cc555e1e-2cbe-44a0-9f26-d84c8250539b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cc555e1e-2cbe-44a0-9f26-d84c8250539b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43714cdc-7482-4347-938b-c870f7e1c01f' class='xr-var-data-in' type='checkbox'><label for='data-43714cdc-7482-4347-938b-c870f7e1c01f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 20,  71, 163, ..., 850, 905, 948])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>points</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>MultiIndex</div><input id='attrs-8f4a819f-224c-4152-bf74-31ffc5813a07' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8f4a819f-224c-4152-bf74-31ffc5813a07' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-033f1634-1fb0-4563-8203-a7b387d4edb0' class='xr-var-data-in' type='checkbox'><label for='data-033f1634-1fb0-4563-8203-a7b387d4edb0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([(0, 20), (0, 71), (0, 163), ..., (1999, 850), (1999, 905), (1999, 948)],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c1e5bee2-f512-494a-a49e-8b3b907ebc54' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c1e5bee2-f512-494a-a49e-8b3b907ebc54' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>CI_temp</span></div><div class='xr-var-dims'>(time, points)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>100.6 100.9 106.5 ... nan nan nan</div><input id='attrs-ad667755-f77a-4577-b464-529ed19e8c1e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ad667755-f77a-4577-b464-529ed19e8c1e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e512a732-8727-43a0-92b2-c01424c663e5' class='xr-var-data-in' type='checkbox'><label for='data-e512a732-8727-43a0-92b2-c01424c663e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[100.61036528, 100.86346874, 106.51896534, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [105.24045736, 101.76711032, 102.06808896, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [103.58884445, 103.87235178, 108.4664844 , ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [104.89503598, 104.14789027, 105.2382419 , ...,          nan,\n",
       "                 nan,          nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8bd16ad4-6484-41bb-96ae-1bd7c6555ed6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8bd16ad4-6484-41bb-96ae-1bd7c6555ed6' 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.Dataset>\n",
       "Dimensions:  (time: 4, points: 34885)\n",
       "Coordinates:\n",
       "  * time     (time) float64 0.0 1.0 2.0 3.0\n",
       "  * azimuth  (points) int64 0 0 0 0 0 0 0 ... 1999 1999 1999 1999 1999 1999 1999\n",
       "  * range    (points) int64 20 71 163 165 244 281 ... 743 768 769 850 905 948\n",
       "  * points   (points) object MultiIndex\n",
       "Data variables:\n",
       "    CI_temp  (time, points) float64 100.6 100.9 106.5 103.2 ... nan nan nan nan"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_ci_ps_interp = ds_ci.interp(azimuth = pointset.points['azimuth'], range = pointset.points['range'], method = 'nearest')\n",
    "ds_ci_ps_interp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can assign the resulting interpolated data-array to our original point-set\n",
    "\n",
    "*** Note that this would not carry over the coordinate system if `sel()` function was used to select nearest neighbour."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
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       "  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",
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 4, points: 34885)\n",
       "Coordinates:\n",
       "  * time     (time) int64 0 1 2 3\n",
       "  * points   (points) object MultiIndex\n",
       "  * azimuth  (points) int64 0 0 0 0 0 0 0 ... 1999 1999 1999 1999 1999 1999 1999\n",
       "  * range    (points) int64 20 71 163 165 244 281 ... 743 768 769 850 905 948\n",
       "Data variables:\n",
       "    obs      (time, points) float64 6.212 3.168 5.956 ... 6.254 8.466 6.026\n",
       "    CI_temp  (time, points) float64 100.6 100.9 106.5 103.2 ... nan nan nan nan</pre><div class='xr-wrap' style='display:none'><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-618a4a33-df21-46c8-b939-109b65cebfc2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-618a4a33-df21-46c8-b939-109b65cebfc2' 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'>time</span>: 4</li><li><span class='xr-has-index'>points</span>: 34885</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7df1c4fa-5c82-45c0-bf60-936513300115' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7df1c4fa-5c82-45c0-bf60-936513300115' 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'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-4e578f0f-187d-42c0-a729-30be1834d53b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4e578f0f-187d-42c0-a729-30be1834d53b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11e33cf6-4b11-47d6-a724-a0c100299a82' class='xr-var-data-in' type='checkbox'><label for='data-11e33cf6-4b11-47d6-a724-a0c100299a82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>points</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>MultiIndex</div><input id='attrs-68e83dc3-04bc-4419-840b-6afe54a47aa1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-68e83dc3-04bc-4419-840b-6afe54a47aa1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b7a6b19-c93d-4b8f-b13c-ee50412a0ad0' class='xr-var-data-in' type='checkbox'><label for='data-7b7a6b19-c93d-4b8f-b13c-ee50412a0ad0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([(0, 20), (0, 71), (0, 163), ..., (1999, 850), (1999, 905), (1999, 948)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>azimuth</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 ... 1999 1999 1999 1999</div><input id='attrs-3f006df4-0f03-4592-962e-35241805b6ba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3f006df4-0f03-4592-962e-35241805b6ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0850ceb2-f523-4edc-a21f-1f69b7f6f3e8' class='xr-var-data-in' type='checkbox'><label for='data-0850ceb2-f523-4edc-a21f-1f69b7f6f3e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0,    0,    0, ..., 1999, 1999, 1999])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>20 71 163 165 ... 769 850 905 948</div><input id='attrs-185200ac-ac9b-448e-83be-1e7f5a3292c6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-185200ac-ac9b-448e-83be-1e7f5a3292c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e5bba67-6e9e-48b6-9c6f-23dfbeb5977a' class='xr-var-data-in' type='checkbox'><label for='data-1e5bba67-6e9e-48b6-9c6f-23dfbeb5977a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 20,  71, 163, ..., 850, 905, 948])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2a310da5-a79c-4181-9e22-5c98a276a58d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2a310da5-a79c-4181-9e22-5c98a276a58d' class='xr-section-summary' >Data variables: <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>obs</span></div><div class='xr-var-dims'>(time, points)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.212 3.168 5.956 ... 8.466 6.026</div><input id='attrs-de2b7e52-aa85-48f3-8185-23c073fce032' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-de2b7e52-aa85-48f3-8185-23c073fce032' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cff26839-4e29-4337-b1f0-1a80761eed40' class='xr-var-data-in' type='checkbox'><label for='data-cff26839-4e29-4337-b1f0-1a80761eed40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[6.21173514, 3.1678987 , 5.9562329 , ..., 6.07099455, 8.24343044,\n",
       "        6.66401   ],\n",
       "       [5.50586078, 3.93348169, 5.55785111, ..., 6.29222683, 7.86329269,\n",
       "        7.04848954],\n",
       "       [6.43469403, 3.83944848, 5.80963397, ..., 5.3242235 , 9.23190343,\n",
       "        7.08823624],\n",
       "       [6.38950621, 3.58520786, 6.68484908, ..., 6.25370469, 8.46605339,\n",
       "        6.02572225]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CI_temp</span></div><div class='xr-var-dims'>(time, points)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>100.6 100.9 106.5 ... nan nan nan</div><input id='attrs-bbc03cd3-d481-4196-9ec8-1a31419123f5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bbc03cd3-d481-4196-9ec8-1a31419123f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad187224-6b0d-47ed-8a6b-39197d6ff4c0' class='xr-var-data-in' type='checkbox'><label for='data-ad187224-6b0d-47ed-8a6b-39197d6ff4c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[100.61036528, 100.86346874, 106.51896534, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [105.24045736, 101.76711032, 102.06808896, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [103.58884445, 103.87235178, 108.4664844 , ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [104.89503598, 104.14789027, 105.2382419 , ...,          nan,\n",
       "                 nan,          nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-334977e7-32cb-431c-bd77-011b6d7bd19f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-334977e7-32cb-431c-bd77-011b6d7bd19f' 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.Dataset>\n",
       "Dimensions:  (time: 4, points: 34885)\n",
       "Coordinates:\n",
       "  * time     (time) int64 0 1 2 3\n",
       "  * points   (points) object MultiIndex\n",
       "  * azimuth  (points) int64 0 0 0 0 0 0 0 ... 1999 1999 1999 1999 1999 1999 1999\n",
       "  * range    (points) int64 20 71 163 165 244 281 ... 743 768 769 850 905 948\n",
       "Data variables:\n",
       "    obs      (time, points) float64 6.212 3.168 5.956 ... 6.254 8.466 6.026\n",
       "    CI_temp  (time, points) float64 100.6 100.9 106.5 103.2 ... nan nan nan nan"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pointset['CI_temp'] = ds_ci_ps_interp['CI_temp']\n",
    "pointset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Interpolate with lat and lon as coordinates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
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       "\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.Dataset&gt;\n",
       "Dimensions:  (time: 4, azimuth: 2000, range: 1000, lat: 2000, lon: 1000)\n",
       "Coordinates:\n",
       "  * azimuth  (azimuth) int64 0 1 2 3 4 5 6 ... 1994 1995 1996 1997 1998 1999\n",
       "  * range    (range) int64 0 1 2 3 4 5 6 7 8 ... 992 993 994 995 996 997 998 999\n",
       "  * time     (time) int64 0 1 2 3\n",
       "  * lat      (lat) int64 0 2 4 6 8 10 12 ... 3986 3988 3990 3992 3994 3996 3998\n",
       "  * lon      (lon) int64 0 2 4 6 8 10 12 ... 1986 1988 1990 1992 1994 1996 1998\n",
       "Data variables:\n",
       "    obs      (time, azimuth, range) float64 3.448 4.497 3.794 ... 8.004 7.702</pre><div class='xr-wrap' style='display:none'><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-588f8b0f-7d19-40b2-8084-0a7df952eca1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-588f8b0f-7d19-40b2-8084-0a7df952eca1' 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'>time</span>: 4</li><li><span class='xr-has-index'>azimuth</span>: 2000</li><li><span class='xr-has-index'>range</span>: 1000</li><li><span class='xr-has-index'>lat</span>: 2000</li><li><span class='xr-has-index'>lon</span>: 1000</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-52ab1079-07f3-4f94-b57e-2affc99552a7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-52ab1079-07f3-4f94-b57e-2affc99552a7' class='xr-section-summary' >Coordinates: <span>(5)</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'>azimuth</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 1996 1997 1998 1999</div><input id='attrs-25294302-1274-4f50-9ebe-1d85599298ca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-25294302-1274-4f50-9ebe-1d85599298ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea249f19-a280-4099-9c4f-5434a222ca17' class='xr-var-data-in' type='checkbox'><label for='data-ea249f19-a280-4099-9c4f-5434a222ca17' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 1997, 1998, 1999])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 995 996 997 998 999</div><input id='attrs-ad05f3ac-d471-4cf3-b5d5-b651fcfd7b91' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ad05f3ac-d471-4cf3-b5d5-b651fcfd7b91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b075fc0-7f9e-4593-ad47-648a52ed02f8' class='xr-var-data-in' type='checkbox'><label for='data-5b075fc0-7f9e-4593-ad47-648a52ed02f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 997, 998, 999])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-393ab8e6-aba9-4376-a2c0-e9e2b23cd0e0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-393ab8e6-aba9-4376-a2c0-e9e2b23cd0e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eabc5a6d-12e9-4028-83cb-ad0d115b2a9b' class='xr-var-data-in' type='checkbox'><label for='data-eabc5a6d-12e9-4028-83cb-ad0d115b2a9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</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'>int64</div><div class='xr-var-preview xr-preview'>0 2 4 6 8 ... 3992 3994 3996 3998</div><input id='attrs-626c888a-6725-4795-9b9f-6b010b44abc4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-626c888a-6725-4795-9b9f-6b010b44abc4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1eb75c60-f10d-4236-9e2b-62004a4503a0' class='xr-var-data-in' type='checkbox'><label for='data-1eb75c60-f10d-4236-9e2b-62004a4503a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0,    2,    4, ..., 3994, 3996, 3998])</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'>int64</div><div class='xr-var-preview xr-preview'>0 2 4 6 8 ... 1992 1994 1996 1998</div><input id='attrs-cdf8af2b-d5ae-49bf-9430-18ba20e1a6a1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cdf8af2b-d5ae-49bf-9430-18ba20e1a6a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d83b666-b66d-45b0-8cde-d27807bb940f' class='xr-var-data-in' type='checkbox'><label for='data-6d83b666-b66d-45b0-8cde-d27807bb940f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0,    2,    4, ..., 1994, 1996, 1998])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-26843ed6-9376-4bd1-9da4-cac7647d50b8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-26843ed6-9376-4bd1-9da4-cac7647d50b8' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>obs</span></div><div class='xr-var-dims'>(time, azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.448 4.497 3.794 ... 8.004 7.702</div><input id='attrs-f93b38b9-a052-4749-bd11-63f96269ae15' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f93b38b9-a052-4749-bd11-63f96269ae15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-074abc7d-538d-4583-a388-72e7d27652b5' class='xr-var-data-in' type='checkbox'><label for='data-074abc7d-538d-4583-a388-72e7d27652b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[ 3.44829694,  4.49681206,  3.79356346, ...,  9.03151981,\n",
       "          4.57507657,  7.39619594],\n",
       "        [ 3.72517661,  0.0663768 ,  2.99599364, ...,  6.1519095 ,\n",
       "          7.18396497,  6.29432622],\n",
       "        [ 5.09892093,  2.99446864,  3.2933755 , ...,  5.16862808,\n",
       "          8.25010202,  7.52348846],\n",
       "        ...,\n",
       "        [ 3.34125502,  4.38098714,  5.72962509, ...,  4.82854708,\n",
       "          8.25130125,  3.39594384],\n",
       "        [ 0.25450378,  4.6649426 ,  0.55336375, ...,  4.02672578,\n",
       "          6.53092243,  7.80392371],\n",
       "        [ 0.24206801,  1.64351812,  5.09516528, ...,  8.96835215,\n",
       "          8.74112606,  6.23210474]],\n",
       "\n",
       "       [[ 5.9606289 ,  2.88193543,  6.83138   , ...,  4.39316838,\n",
       "          6.47534806,  8.24814829],\n",
       "        [ 2.66409652,  1.63333252,  2.73078366, ...,  8.61417664,\n",
       "         10.00989683,  8.57412305],\n",
       "        [ 2.6962788 ,  6.58118629,  2.18403771, ...,  8.256945  ,\n",
       "          7.52997796,  4.8261986 ],\n",
       "...\n",
       "        [ 2.36772239,  4.77388107,  8.2387385 , ..., 10.14389545,\n",
       "          5.67037242,  9.7460928 ],\n",
       "        [ 8.26045325,  7.57971541,  5.83871304, ...,  5.34465831,\n",
       "          7.05949158,  6.41340905],\n",
       "        [ 6.40710549,  4.48263662,  7.32040137, ...,  8.00446189,\n",
       "         11.27714477,  5.55382812]],\n",
       "\n",
       "       [[ 6.61671439,  7.55560867,  5.91500093, ...,  9.60518165,\n",
       "          9.71445774,  8.33007131],\n",
       "        [ 7.93328611,  3.9580006 ,  7.00775525, ..., 12.01567133,\n",
       "          6.93834349, 10.48155186],\n",
       "        [ 5.5990042 ,  7.38089291,  6.88236053, ...,  6.63391244,\n",
       "         10.73105173,  7.24717932],\n",
       "        ...,\n",
       "        [ 5.7067881 ,  6.46129211,  4.71339131, ..., 11.25679596,\n",
       "          9.01801673,  9.5019992 ],\n",
       "        [ 4.31148401,  8.61282742,  8.18592285, ...,  6.46978996,\n",
       "          6.26953643, 11.82201566],\n",
       "        [ 8.17263888,  4.14390718,  8.8129008 , ..., 12.27938359,\n",
       "          8.00414491,  7.70171342]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c4f65d6f-44ed-4207-a49b-267ddcc9943c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c4f65d6f-44ed-4207-a49b-267ddcc9943c' 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.Dataset>\n",
       "Dimensions:  (time: 4, azimuth: 2000, range: 1000, lat: 2000, lon: 1000)\n",
       "Coordinates:\n",
       "  * azimuth  (azimuth) int64 0 1 2 3 4 5 6 ... 1994 1995 1996 1997 1998 1999\n",
       "  * range    (range) int64 0 1 2 3 4 5 6 7 8 ... 992 993 994 995 996 997 998 999\n",
       "  * time     (time) int64 0 1 2 3\n",
       "  * lat      (lat) int64 0 2 4 6 8 10 12 ... 3986 3988 3990 3992 3994 3996 3998\n",
       "  * lon      (lon) int64 0 2 4 6 8 10 12 ... 1986 1988 1990 1992 1994 1996 1998\n",
       "Data variables:\n",
       "    obs      (time, azimuth, range) float64 3.448 4.497 3.794 ... 8.004 7.702"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_wll = xr.Dataset(\n",
    "    data_vars=dict(\n",
    "        obs=([\"time\", \"azimuth\", \"range\"], obs),\n",
    "    ),\n",
    "    coords=dict(\n",
    "        azimuth=np.arange(n_azimuth),\n",
    "        range=np.arange(n_range),\n",
    "        time=np.arange(n_time),\n",
    "        lat = np.arange(n_azimuth)*2,\n",
    "        lon = np.arange(n_range)*2\n",
    "    ),\n",
    ")\n",
    "ds_wll"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       ".xr-var-data,\n",
       ".xr-attrs {\n",
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       "\n",
       ".xr-attrs,\n",
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       ".xr-var-data {\n",
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       "\n",
       "dl.xr-attrs {\n",
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       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
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       "  padding-right: 10px;\n",
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       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
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       "}\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.Dataset&gt;\n",
       "Dimensions:  (time: 4, lat: 750, lon: 750, azimuth: 750, range: 750)\n",
       "Coordinates:\n",
       "  * azimuth  (azimuth) float64 0.0 2.667 5.333 ... 1.992e+03 1.995e+03 1.997e+03\n",
       "  * range    (range) float64 0.0 1.333 2.667 4.0 ... 994.7 996.0 997.3 998.7\n",
       "  * time     (time) float64 0.0 1.0 2.0 3.0\n",
       "  * lat      (lat) float64 0.0 5.333 10.67 ... 3.984e+03 3.989e+03 3.995e+03\n",
       "  * lon      (lon) float64 0.0 2.667 5.333 8.0 ... 1.992e+03 1.995e+03 1.997e+03\n",
       "Data variables:\n",
       "    CI_temp  (time, lat, lon) float64 103.4 104.5 103.8 ... 107.1 110.4 107.2</pre><div class='xr-wrap' style='display:none'><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-23057f92-9e44-413e-b986-ffbebd1aa5a5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-23057f92-9e44-413e-b986-ffbebd1aa5a5' 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'>time</span>: 4</li><li><span class='xr-has-index'>lat</span>: 750</li><li><span class='xr-has-index'>lon</span>: 750</li><li><span class='xr-has-index'>azimuth</span>: 750</li><li><span class='xr-has-index'>range</span>: 750</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ed094784-5a0c-4074-84fe-7c004371b9fb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ed094784-5a0c-4074-84fe-7c004371b9fb' class='xr-section-summary' >Coordinates: <span>(5)</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'>azimuth</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.667 ... 1.995e+03 1.997e+03</div><input id='attrs-47ac4554-8095-4655-8123-2891d33c1d49' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-47ac4554-8095-4655-8123-2891d33c1d49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52d1dfff-ece7-4534-b9f9-7e25a271c798' class='xr-var-data-in' type='checkbox'><label for='data-52d1dfff-ece7-4534-b9f9-7e25a271c798' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0.      ,    2.666667,    5.333333, ..., 1992.      , 1994.666667,\n",
       "       1997.333333])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.333 2.667 ... 997.3 998.7</div><input id='attrs-b215286e-1481-419b-864d-085a76d76757' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b215286e-1481-419b-864d-085a76d76757' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fc0b37b-3f10-4c54-89ca-47f9296f2895' class='xr-var-data-in' type='checkbox'><label for='data-9fc0b37b-3f10-4c54-89ca-47f9296f2895' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0.      ,   1.333333,   2.666667, ..., 996.      , 997.333333,\n",
       "       998.666667])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0</div><input id='attrs-0e59971b-5647-4074-8b4f-2c1c518b498f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0e59971b-5647-4074-8b4f-2c1c518b498f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-132a966f-9817-4ebf-8b29-9ff682fb71c6' class='xr-var-data-in' type='checkbox'><label for='data-132a966f-9817-4ebf-8b29-9ff682fb71c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 1., 2., 3.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 5.333 ... 3.989e+03 3.995e+03</div><input id='attrs-f17e2867-c686-4597-8d55-772f160025ff' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f17e2867-c686-4597-8d55-772f160025ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b5482f9-869d-4eb8-8009-cc823e8c70b4' class='xr-var-data-in' type='checkbox'><label for='data-4b5482f9-869d-4eb8-8009-cc823e8c70b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0.      ,    5.333333,   10.666667, ..., 3984.      , 3989.333333,\n",
       "       3994.666667])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.667 ... 1.995e+03 1.997e+03</div><input id='attrs-6a932d27-1821-4308-bd42-7fa4ee9bbdba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6a932d27-1821-4308-bd42-7fa4ee9bbdba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-697dfa4a-3d2e-45b1-ba34-b6b671ce331c' class='xr-var-data-in' type='checkbox'><label for='data-697dfa4a-3d2e-45b1-ba34-b6b671ce331c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0.      ,    2.666667,    5.333333, ..., 1992.      , 1994.666667,\n",
       "       1997.333333])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0b9c52e0-2ef8-4ba5-8ab7-aa164c096507' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0b9c52e0-2ef8-4ba5-8ab7-aa164c096507' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>CI_temp</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'>103.4 104.5 103.8 ... 110.4 107.2</div><input id='attrs-e9f3d6c5-54fc-483e-9227-6ab69fe54b41' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9f3d6c5-54fc-483e-9227-6ab69fe54b41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa138844-3533-4bad-bb31-cc0748843c3d' class='xr-var-data-in' type='checkbox'><label for='data-aa138844-3533-4bad-bb31-cc0748843c3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[103.44829694, 104.4978617 , 103.79566275, ..., 107.65471069,\n",
       "         109.20940554, 106.33116087],\n",
       "        [101.88749201, 103.45680831, 105.85689525, ..., 103.83849139,\n",
       "         103.40357943, 104.57253152],\n",
       "        [102.80728523, 105.26315995, 101.40215025, ..., 109.20907879,\n",
       "         105.57255464, 107.45619336],\n",
       "        ...,\n",
       "        [103.84360077, 102.16449227, 100.1769727 , ..., 105.20892026,\n",
       "         103.59702707, 105.84144285],\n",
       "        [105.76417926, 103.52222605, 100.00945855, ..., 105.00845862,\n",
       "         105.99413057, 108.47018318],\n",
       "        [100.76888639, 104.9757464 , 105.69846235, ..., 109.15774955,\n",
       "         107.62426183, 106.35518209]],\n",
       "\n",
       "       [[106.61346738, 101.85852662, 106.73564277, ..., 107.51063518,\n",
       "         108.22391533, 104.88897846],\n",
       "        [102.22587211, 104.66904598, 106.0772643 , ..., 106.77990251,\n",
       "         105.24693216, 105.90448988],\n",
       "        [104.12320004, 102.53816715, 104.48202319, ..., 106.59120002,\n",
       "         107.53682075, 105.31101244],\n",
       "...\n",
       "        [102.43338595, 104.82123783, 104.49197427, ..., 106.17573757,\n",
       "         106.48830088, 108.79681883],\n",
       "        [102.74330561, 105.76766674, 103.02839359, ..., 109.39827447,\n",
       "         109.13420025, 106.58758117],\n",
       "        [104.89129443, 103.77533296, 106.70361604, ..., 109.34142297,\n",
       "         109.86645729, 108.06460499]],\n",
       "\n",
       "       [[103.74051508, 103.97293627, 106.60073096, ..., 106.20509765,\n",
       "         108.1374638 , 109.25283362],\n",
       "        [107.06434629, 108.04960349, 103.21082249, ..., 110.64986862,\n",
       "         111.44329148, 110.00766065],\n",
       "        [104.30718456, 109.19554314, 108.55577191, ..., 108.02302818,\n",
       "         109.74103063, 108.78970753],\n",
       "        ...,\n",
       "        [108.56989298, 108.47726385, 107.71257193, ..., 107.19554197,\n",
       "         110.53413116, 107.63306122],\n",
       "        [104.58515116, 107.08390667, 104.90552599, ..., 108.7319113 ,\n",
       "         109.06809082, 112.01521347],\n",
       "        [105.61689256, 104.73209936, 104.1615061 , ..., 107.06471366,\n",
       "         110.37102648, 107.20263585]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9bea7e61-685e-4bc8-8dd9-b87d7aaa2a9f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9bea7e61-685e-4bc8-8dd9-b87d7aaa2a9f' 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.Dataset>\n",
       "Dimensions:  (time: 4, lat: 750, lon: 750, azimuth: 750, range: 750)\n",
       "Coordinates:\n",
       "  * azimuth  (azimuth) float64 0.0 2.667 5.333 ... 1.992e+03 1.995e+03 1.997e+03\n",
       "  * range    (range) float64 0.0 1.333 2.667 4.0 ... 994.7 996.0 997.3 998.7\n",
       "  * time     (time) float64 0.0 1.0 2.0 3.0\n",
       "  * lat      (lat) float64 0.0 5.333 10.67 ... 3.984e+03 3.989e+03 3.995e+03\n",
       "  * lon      (lon) float64 0.0 2.667 5.333 8.0 ... 1.992e+03 1.995e+03 1.997e+03\n",
       "Data variables:\n",
       "    CI_temp  (time, lat, lon) float64 103.4 104.5 103.8 ... 107.1 110.4 107.2"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_ci_wll = xr.Dataset(\n",
    "    data_vars=dict(\n",
    "        CI_temp=([\"time\", \"lat\", \"lon\"], obs_ci),\n",
    "    ),\n",
    "    coords=dict(\n",
    "        azimuth=np.arange(n_azimuth_ci)*(n_azimuth/n_azimuth_ci),\n",
    "        range=np.arange(n_range_ci)*(n_range/n_range_ci),\n",
    "        time=np.arange(n_time_ci)*(n_time/n_time_ci),\n",
    "        lat=np.arange(n_azimuth_ci)*2*(n_azimuth/n_azimuth_ci),\n",
    "        lon=np.arange(n_range_ci)*2*(n_range/n_range_ci),\n",
    "    ),\n",
    ")\n",
    "ds_ci_wll"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
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       "\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",
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       "  stroke: currentColor;\n",
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       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 4, lat: 2000, lon: 1000, azimuth: 750, range: 750)\n",
       "Coordinates:\n",
       "  * azimuth  (azimuth) float64 0.0 2.667 5.333 ... 1.992e+03 1.995e+03 1.997e+03\n",
       "  * range    (range) float64 0.0 1.333 2.667 4.0 ... 994.7 996.0 997.3 998.7\n",
       "  * time     (time) float64 0.0 1.0 2.0 3.0\n",
       "  * lat      (lat) int64 0 2 4 6 8 10 12 ... 3986 3988 3990 3992 3994 3996 3998\n",
       "  * lon      (lon) int64 0 2 4 6 8 10 12 ... 1986 1988 1990 1992 1994 1996 1998\n",
       "Data variables:\n",
       "    CI_temp  (time, lat, lon) float64 103.4 104.5 104.5 103.8 ... nan nan nan</pre><div class='xr-wrap' style='display:none'><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-26a1bdc5-04fc-4607-bfe8-09ff72274c9b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-26a1bdc5-04fc-4607-bfe8-09ff72274c9b' 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'>time</span>: 4</li><li><span class='xr-has-index'>lat</span>: 2000</li><li><span class='xr-has-index'>lon</span>: 1000</li><li><span class='xr-has-index'>azimuth</span>: 750</li><li><span class='xr-has-index'>range</span>: 750</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-de0090a2-1ba4-449e-a894-eb74466fdbc9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-de0090a2-1ba4-449e-a894-eb74466fdbc9' class='xr-section-summary' >Coordinates: <span>(5)</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'>azimuth</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.667 ... 1.995e+03 1.997e+03</div><input id='attrs-6e01044b-94c8-49c8-8067-d685c747359c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6e01044b-94c8-49c8-8067-d685c747359c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd799b93-8ade-45d9-9807-5a1bff867999' class='xr-var-data-in' type='checkbox'><label for='data-cd799b93-8ade-45d9-9807-5a1bff867999' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0.      ,    2.666667,    5.333333, ..., 1992.      , 1994.666667,\n",
       "       1997.333333])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.333 2.667 ... 997.3 998.7</div><input id='attrs-c1526178-e594-4bd1-ba15-8201e8235551' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c1526178-e594-4bd1-ba15-8201e8235551' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02780112-37a8-41fb-b836-1dd5375e19ac' class='xr-var-data-in' type='checkbox'><label for='data-02780112-37a8-41fb-b836-1dd5375e19ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0.      ,   1.333333,   2.666667, ..., 996.      , 997.333333,\n",
       "       998.666667])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0</div><input id='attrs-ade93c8a-eed7-459c-bafc-e0757a8e059d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ade93c8a-eed7-459c-bafc-e0757a8e059d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51da9adb-c9ed-47eb-956a-bd0940a001fd' class='xr-var-data-in' type='checkbox'><label for='data-51da9adb-c9ed-47eb-956a-bd0940a001fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 1., 2., 3.])</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'>int64</div><div class='xr-var-preview xr-preview'>0 2 4 6 8 ... 3992 3994 3996 3998</div><input id='attrs-71b6d461-495b-4562-81f3-9415ef1125b5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-71b6d461-495b-4562-81f3-9415ef1125b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ab07f51-16fc-4c52-b5a1-9ef230eb483e' class='xr-var-data-in' type='checkbox'><label for='data-5ab07f51-16fc-4c52-b5a1-9ef230eb483e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0,    2,    4, ..., 3994, 3996, 3998])</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'>int64</div><div class='xr-var-preview xr-preview'>0 2 4 6 8 ... 1992 1994 1996 1998</div><input id='attrs-435b9560-782b-42ef-b0b0-45de9106683e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-435b9560-782b-42ef-b0b0-45de9106683e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e3b6749-01d7-4403-884a-cd2217ae64e9' class='xr-var-data-in' type='checkbox'><label for='data-1e3b6749-01d7-4403-884a-cd2217ae64e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0,    2,    4, ..., 1994, 1996, 1998])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-599c940a-b260-40c1-a927-4f67fd6fb05d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-599c940a-b260-40c1-a927-4f67fd6fb05d' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>CI_temp</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'>103.4 104.5 104.5 ... nan nan nan</div><input id='attrs-564ad51f-98b9-4422-8df7-06dc05a0493c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-564ad51f-98b9-4422-8df7-06dc05a0493c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20325d75-9f85-4af3-a48c-6e57a0b91c44' class='xr-var-data-in' type='checkbox'><label for='data-20325d75-9f85-4af3-a48c-6e57a0b91c44' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[103.44829694, 104.4978617 , 104.4978617 , ..., 109.20940554,\n",
       "         109.20940554,          nan],\n",
       "        [103.44829694, 104.4978617 , 104.4978617 , ..., 109.20940554,\n",
       "         109.20940554,          nan],\n",
       "        [101.88749201, 103.45680831, 103.45680831, ..., 103.40357943,\n",
       "         103.40357943,          nan],\n",
       "        ...,\n",
       "        [100.76888639, 104.9757464 , 104.9757464 , ..., 107.62426183,\n",
       "         107.62426183,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan]],\n",
       "\n",
       "       [[106.61346738, 101.85852662, 101.85852662, ..., 108.22391533,\n",
       "         108.22391533,          nan],\n",
       "        [106.61346738, 101.85852662, 101.85852662, ..., 108.22391533,\n",
       "         108.22391533,          nan],\n",
       "        [102.22587211, 104.66904598, 104.66904598, ..., 105.24693216,\n",
       "         105.24693216,          nan],\n",
       "...\n",
       "        [104.89129443, 103.77533296, 103.77533296, ..., 109.86645729,\n",
       "         109.86645729,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan]],\n",
       "\n",
       "       [[103.74051508, 103.97293627, 103.97293627, ..., 108.1374638 ,\n",
       "         108.1374638 ,          nan],\n",
       "        [103.74051508, 103.97293627, 103.97293627, ..., 108.1374638 ,\n",
       "         108.1374638 ,          nan],\n",
       "        [107.06434629, 108.04960349, 108.04960349, ..., 111.44329148,\n",
       "         111.44329148,          nan],\n",
       "        ...,\n",
       "        [105.61689256, 104.73209936, 104.73209936, ..., 110.37102648,\n",
       "         110.37102648,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-47fbac81-0597-4311-bb81-5c671ad2f821' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-47fbac81-0597-4311-bb81-5c671ad2f821' 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.Dataset>\n",
       "Dimensions:  (time: 4, lat: 2000, lon: 1000, azimuth: 750, range: 750)\n",
       "Coordinates:\n",
       "  * azimuth  (azimuth) float64 0.0 2.667 5.333 ... 1.992e+03 1.995e+03 1.997e+03\n",
       "  * range    (range) float64 0.0 1.333 2.667 4.0 ... 994.7 996.0 997.3 998.7\n",
       "  * time     (time) float64 0.0 1.0 2.0 3.0\n",
       "  * lat      (lat) int64 0 2 4 6 8 10 12 ... 3986 3988 3990 3992 3994 3996 3998\n",
       "  * lon      (lon) int64 0 2 4 6 8 10 12 ... 1986 1988 1990 1992 1994 1996 1998\n",
       "Data variables:\n",
       "    CI_temp  (time, lat, lon) float64 103.4 104.5 104.5 103.8 ... nan nan nan"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_ci_w_latlon_interp = ds_ci_wll.interp(lat = ds_wll['lat'], lon = ds_wll['lon'], method = 'nearest')\n",
    "ds_ci_w_latlon_interp"
   ]
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   "source": [
    "Conclusions:\n",
    "\n",
    "Xarray provides multiple options to go from one raster coordinate system to another which is useful in the context of obtaining contextual information from a raster data-set (`ds_ci`) to our SAR data-set (`ds`). The methods that could be applied are:\n",
    "\n",
    " - `ds_ci.sel()`: where `ds_ci` is the xarray data-set and this can be used to select points that match with our `ds` coordinates on the basis of nearest neighbour (method = nearest), forward neighbour (method = ffill), or backward neighbour (method = bfill). This does not involve any reindexing which means that the final coordinate labels will remain as in `ds_ci` dataset\n",
    "\n",
    " - `ds_ci.reindex()`: performs a similar operation to `ds.sel()` but performs a reindexing operation to move from `ds_ci` coordinate system to `ds` coordinate system.\n",
    "    \n",
    " - `ds_ci.interp()`: when a perfect match is not found, it performs a interpolation using `scipy.interpolate` function to obtain the values at the `ds` coordinates.\n",
    "\n",
    "Both `ds.sel()` and `ds.interp()` work on pointset like data as shown in the example and can be used to extract contextual information for a specific, arbitrary set of points. By using `ds.sel()` we obtain the data with both the original coordinate system of `ds_ci` as well as the SAR coordinate system in points. When we assign this variable to our space-time matrix, the original coordinate system gets discarded unless intentionally carried over.\n",
    "\n",
    "For certain situations where alternate dimensions (say (`lat, lon`) instead of (`azimuth, range`)) is prefered, then there are two approaches that can be taken:\n",
    "\n",
    "    1) Provide in the original definition of the data-set both sets of coordinates as dimensions. Following this, all the above methods can be applied - the dimensions of the data array needs to carefully defined.\n",
    "    \n",
    "    2) Provide (`x,y`) as primary dimensions with other sets (`lat, lon`) or (`azimuth, range`) as coordinates which can be set, when required, as the primary dimension following which interpolation/selection can be performed.\n",
    "\n",
    "The second method provides maximum flexbility as new coordinates can be added at any time and used to reference the values. Additionally, the definition of dimensions need to carefully carried in the first case in order to ensure that interpolation/selection happens on the right coordinates."
   ]
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