Colocation of lagrangian positions with Xoak

colocate_positions_xoak.ipynb

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    "# Colocation of lagrangian positions"
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    "# # runs with\n",
    "# # docker run -p 8888:8888 --rm -it -v $PWD:/work -w /work pangeo/pangeo-notebook:latest jupyter lab --ip=0.0.0.0\n",
    "# # but we need to install xoak on top:\n",
    "# %conda install -c conda-forge xoak"
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   "source": [
    "import xarray as xr\n",
    "import xoak\n",
    "import numpy as np"
   ]
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    "## Some background field\n",
    "\n",
    "We want two sets of particles which are living in the same world, but have measurement errors. So let's create an artificial global temperature dataset first."
   ]
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    "def get_field_ds(n_lat=100, n_lon=200):\n",
    "    lat = np.linspace(-90, 90, n_lat)\n",
    "    lon = np.linspace(-180, 180, n_lon+1)[:-1]\n",
    "    return xr.Dataset(\n",
    "        data_vars={\n",
    "            \"temp\": xr.DataArray(\n",
    "                # 30 degC at equator / 3 degC at poles plus some noise\n",
    "                30 * np.cos(np.deg2rad(lat))[:, np.newaxis] * np.ones_like(lon)\n",
    "                + np.random.normal(size=(n_lat, n_lon)),\n",
    "                dims=(\"lat\", \"lon\"),\n",
    "            ),\n",
    "        },\n",
    "        coords={\n",
    "            \"lat\": lat,\n",
    "            \"lon\": lon,\n",
    "        },\n",
    "    )"
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (lat: 100, lon: 200)\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 -90.0 -88.18 -86.36 -84.55 ... 84.55 86.36 88.18 90.0\n",
       "  * lon      (lon) float64 -180.0 -178.2 -176.4 -174.6 ... 174.6 176.4 178.2\n",
       "Data variables:\n",
       "    temp     (lat, lon) float64 -0.002965 -2.708 -1.013 ... -1.304 -2.649</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d69cd8e0-ce37-4d42-baaf-cc4e7efe526b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d69cd8e0-ce37-4d42-baaf-cc4e7efe526b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 100</li><li><span class='xr-has-index'>lon</span>: 200</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-879b2c99-f4e3-4a75-beaf-b3ad5865c52b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-879b2c99-f4e3-4a75-beaf-b3ad5865c52b' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.18 -86.36 ... 88.18 90.0</div><input id='attrs-8ba2dab9-c138-444d-be09-3d5a58d00f45' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8ba2dab9-c138-444d-be09-3d5a58d00f45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d2f6444-5081-4c30-baf3-fccaae316424' class='xr-var-data-in' type='checkbox'><label for='data-0d2f6444-5081-4c30-baf3-fccaae316424' 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([-90.      , -88.181818, -86.363636, -84.545455, -82.727273, -80.909091,\n",
       "       -79.090909, -77.272727, -75.454545, -73.636364, -71.818182, -70.      ,\n",
       "       -68.181818, -66.363636, -64.545455, -62.727273, -60.909091, -59.090909,\n",
       "       -57.272727, -55.454545, -53.636364, -51.818182, -50.      , -48.181818,\n",
       "       -46.363636, -44.545455, -42.727273, -40.909091, -39.090909, -37.272727,\n",
       "       -35.454545, -33.636364, -31.818182, -30.      , -28.181818, -26.363636,\n",
       "       -24.545455, -22.727273, -20.909091, -19.090909, -17.272727, -15.454545,\n",
       "       -13.636364, -11.818182, -10.      ,  -8.181818,  -6.363636,  -4.545455,\n",
       "        -2.727273,  -0.909091,   0.909091,   2.727273,   4.545455,   6.363636,\n",
       "         8.181818,  10.      ,  11.818182,  13.636364,  15.454545,  17.272727,\n",
       "        19.090909,  20.909091,  22.727273,  24.545455,  26.363636,  28.181818,\n",
       "        30.      ,  31.818182,  33.636364,  35.454545,  37.272727,  39.090909,\n",
       "        40.909091,  42.727273,  44.545455,  46.363636,  48.181818,  50.      ,\n",
       "        51.818182,  53.636364,  55.454545,  57.272727,  59.090909,  60.909091,\n",
       "        62.727273,  64.545455,  66.363636,  68.181818,  70.      ,  71.818182,\n",
       "        73.636364,  75.454545,  77.272727,  79.090909,  80.909091,  82.727273,\n",
       "        84.545455,  86.363636,  88.181818,  90.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -178.2 ... 176.4 178.2</div><input id='attrs-033f5f03-f0cf-407c-8d57-90e83a46574d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-033f5f03-f0cf-407c-8d57-90e83a46574d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8930794e-d049-4c37-a6e9-df3bcae37a10' class='xr-var-data-in' type='checkbox'><label for='data-8930794e-d049-4c37-a6e9-df3bcae37a10' 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([-180. , -178.2, -176.4, -174.6, -172.8, -171. , -169.2, -167.4, -165.6,\n",
       "       -163.8, -162. , -160.2, -158.4, -156.6, -154.8, -153. , -151.2, -149.4,\n",
       "       -147.6, -145.8, -144. , -142.2, -140.4, -138.6, -136.8, -135. , -133.2,\n",
       "       -131.4, -129.6, -127.8, -126. , -124.2, -122.4, -120.6, -118.8, -117. ,\n",
       "       -115.2, -113.4, -111.6, -109.8, -108. , -106.2, -104.4, -102.6, -100.8,\n",
       "        -99. ,  -97.2,  -95.4,  -93.6,  -91.8,  -90. ,  -88.2,  -86.4,  -84.6,\n",
       "        -82.8,  -81. ,  -79.2,  -77.4,  -75.6,  -73.8,  -72. ,  -70.2,  -68.4,\n",
       "        -66.6,  -64.8,  -63. ,  -61.2,  -59.4,  -57.6,  -55.8,  -54. ,  -52.2,\n",
       "        -50.4,  -48.6,  -46.8,  -45. ,  -43.2,  -41.4,  -39.6,  -37.8,  -36. ,\n",
       "        -34.2,  -32.4,  -30.6,  -28.8,  -27. ,  -25.2,  -23.4,  -21.6,  -19.8,\n",
       "        -18. ,  -16.2,  -14.4,  -12.6,  -10.8,   -9. ,   -7.2,   -5.4,   -3.6,\n",
       "         -1.8,    0. ,    1.8,    3.6,    5.4,    7.2,    9. ,   10.8,   12.6,\n",
       "         14.4,   16.2,   18. ,   19.8,   21.6,   23.4,   25.2,   27. ,   28.8,\n",
       "         30.6,   32.4,   34.2,   36. ,   37.8,   39.6,   41.4,   43.2,   45. ,\n",
       "         46.8,   48.6,   50.4,   52.2,   54. ,   55.8,   57.6,   59.4,   61.2,\n",
       "         63. ,   64.8,   66.6,   68.4,   70.2,   72. ,   73.8,   75.6,   77.4,\n",
       "         79.2,   81. ,   82.8,   84.6,   86.4,   88.2,   90. ,   91.8,   93.6,\n",
       "         95.4,   97.2,   99. ,  100.8,  102.6,  104.4,  106.2,  108. ,  109.8,\n",
       "        111.6,  113.4,  115.2,  117. ,  118.8,  120.6,  122.4,  124.2,  126. ,\n",
       "        127.8,  129.6,  131.4,  133.2,  135. ,  136.8,  138.6,  140.4,  142.2,\n",
       "        144. ,  145.8,  147.6,  149.4,  151.2,  153. ,  154.8,  156.6,  158.4,\n",
       "        160.2,  162. ,  163.8,  165.6,  167.4,  169.2,  171. ,  172.8,  174.6,\n",
       "        176.4,  178.2])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0235dca6-67b7-4376-ae89-a92b9f035fa8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0235dca6-67b7-4376-ae89-a92b9f035fa8' 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>temp</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.002965 -2.708 ... -1.304 -2.649</div><input id='attrs-b0528e8a-233a-42e5-943e-de5300b034bc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b0528e8a-233a-42e5-943e-de5300b034bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8db762e-fc40-4792-97f0-19c1ed68724d' class='xr-var-data-in' type='checkbox'><label for='data-f8db762e-fc40-4792-97f0-19c1ed68724d' 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([[-2.96526381e-03, -2.70830157e+00, -1.01320227e+00, ...,\n",
       "        -5.22137627e-01, -1.84987431e-01, -9.88121713e-01],\n",
       "       [-6.50090741e-01,  1.09336502e+00,  6.02391557e-01, ...,\n",
       "         5.93644783e-01,  1.58596090e+00,  1.80343269e+00],\n",
       "       [ 4.62970861e+00,  2.60894540e+00,  2.04780408e+00, ...,\n",
       "        -3.46509442e-01,  1.72293128e+00,  4.86642652e-01],\n",
       "       ...,\n",
       "       [ 1.20224234e+00,  1.19016390e+00,  2.02018852e+00, ...,\n",
       "         1.23701370e+00,  2.58053192e+00,  9.31002745e-01],\n",
       "       [ 1.88765074e+00,  3.12574269e+00,  2.29117244e+00, ...,\n",
       "        -2.18655767e-01,  3.20926983e+00, -2.18105042e-01],\n",
       "       [-2.01430223e+00,  5.66049120e-01,  9.18127237e-01, ...,\n",
       "        -1.37416752e-01, -1.30399859e+00, -2.64893461e+00]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8b6ae51e-0b0a-4694-9a34-926d29bed133' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8b6ae51e-0b0a-4694-9a34-926d29bed133' 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:  (lat: 100, lon: 200)\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 -90.0 -88.18 -86.36 -84.55 ... 84.55 86.36 88.18 90.0\n",
       "  * lon      (lon) float64 -180.0 -178.2 -176.4 -174.6 ... 174.6 176.4 178.2\n",
       "Data variables:\n",
       "    temp     (lat, lon) float64 -0.002965 -2.708 -1.013 ... -1.304 -2.649"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_field = get_field_ds()\n",
    "ds_field"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1526261a-01c9-4dc3-a222-dd950cf0eeb4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_field.temp.plot(cmap=\"viridis\", vmin=0, vmax=30);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10384d65-05da-4f6a-bda6-4903c940381f",
   "metadata": {},
   "source": [
    "## Sample two sets of particles\n",
    "\n",
    "We'll create random positions for floats which we can then use for sampling."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5e7f4268-d12d-4032-9008-14d58bcd7ea7",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_float_positions(n_particles=100):\n",
    "    return xr.Dataset(\n",
    "        coords={\n",
    "            \"lat\": xr.DataArray(\n",
    "                np.random.uniform(-90, 90, size=(n_particles, )),\n",
    "                name=\"lat\",\n",
    "                dims=(\"particle\", ),\n",
    "            ),\n",
    "            \"lon\": xr.DataArray(\n",
    "                np.random.uniform(-180, 180, size=(n_particles, )),\n",
    "                name=\"lon\",\n",
    "                dims=(\"particle\", ),\n",
    "            ),\n",
    "            \"particle\": xr.DataArray(\n",
    "                np.arange(n_particles),\n",
    "                name=\"particle\",\n",
    "                dims=(\"particle\", ),\n",
    "            ),\n",
    "        }\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "488469d1-90f0-4900-bd1d-2f09754347ab",
   "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",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
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       "  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",
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       "  background: var(--xr-background-color);\n",
       "  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:   (particle: 200)\n",
       "Coordinates:\n",
       "    lat       (particle) float64 25.9 -19.51 8.508 ... -81.5 -1.932 -17.17\n",
       "    lon       (particle) float64 106.0 30.08 4.154 -51.47 ... -176.1 157.4 10.39\n",
       "  * particle  (particle) int64 0 1 2 3 4 5 6 7 ... 193 194 195 196 197 198 199\n",
       "Data variables:\n",
       "    *empty*</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-191a04cd-f65c-4a47-8eb6-ee8534f55bc9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-191a04cd-f65c-4a47-8eb6-ee8534f55bc9' 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'>particle</span>: 200</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-267387c9-66c2-4e36-b7a3-b4e495faf6fa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-267387c9-66c2-4e36-b7a3-b4e495faf6fa' 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>lat</span></div><div class='xr-var-dims'>(particle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>25.9 -19.51 8.508 ... -1.932 -17.17</div><input id='attrs-8e1e2231-d8aa-4c2e-92e8-85eddcf68f29' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8e1e2231-d8aa-4c2e-92e8-85eddcf68f29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e29018e-4362-4d91-9944-4d34dd6a6fe8' class='xr-var-data-in' type='checkbox'><label for='data-2e29018e-4362-4d91-9944-4d34dd6a6fe8' 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([ 25.89902376, -19.51046095,   8.50827812,  -4.42413952,\n",
       "        85.70813297, -45.36620779, -61.66900589, -57.55148159,\n",
       "        27.83308313,  10.65221561, -75.40677364,  79.45862882,\n",
       "       -28.00297261,  89.427307  ,  86.52134084, -77.87964126,\n",
       "        10.34539833, -22.80622704,  50.25210403, -76.07473505,\n",
       "        13.07626547,   2.0136364 ,  44.38427336, -30.22576034,\n",
       "        31.80525821,  64.37950983,  50.11083464,  49.69800495,\n",
       "       -28.31692948, -14.26706178, -70.92337507, -68.82899574,\n",
       "       -41.29082438,  78.67241537, -45.26431612,  75.56046354,\n",
       "       -73.66847029, -63.85299975, -12.22607081, -86.17621856,\n",
       "       -19.26449482,  -3.62620412,  12.6249648 ,  43.29339202,\n",
       "        69.88937204, -18.43655095, -21.56985773,   6.48308158,\n",
       "        76.83659304, -75.26396593, -59.62743029,  -9.38035259,\n",
       "        38.54991679, -67.2644963 , -43.51250128,  21.6320517 ,\n",
       "        23.9360765 ,  41.46241152,  19.19120548,  62.57828832,\n",
       "        23.53761753,  48.35194277,  78.33682175,   4.30953971,\n",
       "       -82.42793386, -21.74799247, -56.71808761,  71.27937025,\n",
       "       -10.56222393,  72.47838885,  29.73641716, -59.16641931,\n",
       "        14.82476375,  46.03094096, -74.00436024, -47.64859302,\n",
       "        54.16832979,  42.77555509, -55.32310432,  69.06197269,\n",
       "...\n",
       "       -47.81741582, -63.43897588, -50.18950114, -72.28453976,\n",
       "        21.13519139, -11.8073065 , -86.21475364,  79.44016873,\n",
       "        85.78253267, -34.76302612,  86.26334282,   3.49895382,\n",
       "         1.55561571, -88.97950042,  -3.36739139,  37.14628498,\n",
       "       -88.86746412,  64.68757763, -77.87619113,  84.55392574,\n",
       "        70.70470333, -74.40976984,  83.5183931 , -39.91566961,\n",
       "       -67.59922143, -50.69938986,  33.33788278,  48.65063558,\n",
       "       -31.56500443,  61.6637675 , -65.81328454,  53.32055966,\n",
       "        16.42669575,  70.9092443 , -22.68917708, -51.70760648,\n",
       "       -59.92945872,  80.9020592 , -13.14164436,  71.70345656,\n",
       "        69.35685227, -33.70280371,  84.15669083, -10.75897745,\n",
       "        58.78913131,  46.33637416, -47.13756717, -74.72659759,\n",
       "        51.91593396,  20.91190288, -60.31969023,   2.91210364,\n",
       "       -47.74671929,   7.62370599,  17.71940315, -88.22688983,\n",
       "        -0.57709686, -70.23101114, -69.00194922, -80.9944481 ,\n",
       "       -45.71834522,  39.10480738,  27.04743485,  59.39825385,\n",
       "       -70.75512038,  46.97739545, -30.36477094,  -5.84200602,\n",
       "         0.09036962,  31.44941117, -11.02522992, -26.37636992,\n",
       "       -36.14993239,  20.81386309, -71.622793  ,   9.44540102,\n",
       "        -7.49062409, -81.49595903,  -1.9324998 , -17.16857737])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(particle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>106.0 30.08 4.154 ... 157.4 10.39</div><input id='attrs-bedcbdf7-a001-4942-9a79-2de9496a05ba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bedcbdf7-a001-4942-9a79-2de9496a05ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9426cebc-854a-490f-89b3-294063cc7335' class='xr-var-data-in' type='checkbox'><label for='data-9426cebc-854a-490f-89b3-294063cc7335' 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([ 105.96438218,   30.07862324,    4.15358557,  -51.47431017,\n",
       "        -61.47430797, -141.32247697,   51.62862684,  -53.72967067,\n",
       "        153.3975335 ,  -53.19210753, -137.65204251, -166.8607021 ,\n",
       "       -179.0418898 ,  -97.36393052,  -66.60276816,   56.71922372,\n",
       "        144.33362024,   -6.56938503,  -16.92690295,   95.52199496,\n",
       "         64.02885473,   74.87393326,  175.2976639 ,  148.23086906,\n",
       "        140.2393169 ,  157.72244516,  132.98876032,  172.9248333 ,\n",
       "       -104.68151002,  -36.01692454,  -23.61620458, -148.31783978,\n",
       "       -147.82112264,  -41.09757633,   66.73998965,  -10.28036921,\n",
       "         79.49225497, -111.77753262,   93.2418243 ,  143.7382897 ,\n",
       "        -76.97150301, -154.94393992, -152.66458778, -123.52441865,\n",
       "          3.32790768,  131.66151691, -129.67102807,  124.65463677,\n",
       "         86.6910766 ,  -56.61537215,  -70.34172308,   72.6910479 ,\n",
       "         94.86398597,   39.21465315, -123.59819048,  176.14215257,\n",
       "          7.92897824,  -71.25019072,   92.90683316,    5.5983754 ,\n",
       "        120.18028636,   76.53806964,  146.30706945,    2.1364306 ,\n",
       "       -122.76637606,   65.76473479, -148.10590718,  105.88334018,\n",
       "       -155.44876702,  -45.56139442,  123.81952173, -128.93755723,\n",
       "        -52.82341915,  179.52933791,  -54.01339919,   -5.69170545,\n",
       "        -62.95745953,  171.23844177,   23.71492437,   38.04840451,\n",
       "...\n",
       "         88.8378466 ,  -59.24589526,   -5.5368592 ,    1.78958479,\n",
       "        -21.97519424,  126.09828909,  -75.15694374,   71.85129612,\n",
       "        -39.25975767,  -52.80342472, -136.05839203,  145.58487511,\n",
       "         78.52299681,   62.41100415, -105.2106641 , -168.82008196,\n",
       "       -116.81236472,  -89.25987133, -118.22036336,   38.87638288,\n",
       "        176.22514691, -160.97533132,  151.01521179,   19.96790573,\n",
       "       -122.96643422,  105.31529172,   70.72516371,  -56.00667993,\n",
       "       -120.18515228,  143.25703779, -173.50891211, -136.28059846,\n",
       "        136.23332798, -129.7442056 ,   16.4901572 , -165.89660849,\n",
       "        -98.85144155, -178.43603166,  147.10637065,   92.66226284,\n",
       "       -108.05034444,  152.98314405, -153.91555205,    7.57342995,\n",
       "       -172.81451067,  127.36350636,  137.17835931, -155.67779513,\n",
       "         11.06485996,  112.16226067, -119.31151475,  151.53754271,\n",
       "       -160.21562791, -112.65201987,  -69.93271211, -105.52497041,\n",
       "       -176.50150337,   39.54790583, -113.61583506,  146.06262275,\n",
       "       -161.33876722,  -36.37676673,  -61.75745568,   71.6524611 ,\n",
       "        125.10446075,  -83.27777338, -113.62205203,   23.28052196,\n",
       "       -121.8547637 ,  -71.38252059,  -89.46438145,  145.08969951,\n",
       "        -22.7058482 ,  150.71178713,   27.24243486,  138.13038376,\n",
       "       -146.73686186, -176.07736138,  157.43642144,   10.39462346])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>particle</span></div><div class='xr-var-dims'>(particle)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 195 196 197 198 199</div><input id='attrs-81206aeb-bd65-45a0-94c2-4c1dd4ec6719' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-81206aeb-bd65-45a0-94c2-4c1dd4ec6719' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7f25171-f811-4e87-aaa1-222e1b904701' class='xr-var-data-in' type='checkbox'><label for='data-e7f25171-f811-4e87-aaa1-222e1b904701' 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,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,\n",
       "        14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,\n",
       "        28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,\n",
       "        42,  43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,\n",
       "        56,  57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,\n",
       "        70,  71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,\n",
       "        84,  85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,\n",
       "        98,  99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,\n",
       "       112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125,\n",
       "       126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139,\n",
       "       140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153,\n",
       "       154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167,\n",
       "       168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181,\n",
       "       182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195,\n",
       "       196, 197, 198, 199])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-028b61c2-295b-470b-9ad2-bd10b3477a0c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-028b61c2-295b-470b-9ad2-bd10b3477a0c' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c8b92d32-2847-4373-8139-8a31432c77d2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c8b92d32-2847-4373-8139-8a31432c77d2' 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:   (particle: 200)\n",
       "Coordinates:\n",
       "    lat       (particle) float64 25.9 -19.51 8.508 ... -81.5 -1.932 -17.17\n",
       "    lon       (particle) float64 106.0 30.08 4.154 -51.47 ... -176.1 157.4 10.39\n",
       "  * particle  (particle) int64 0 1 2 3 4 5 6 7 ... 193 194 195 196 197 198 199\n",
       "Data variables:\n",
       "    *empty*"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_float_01 = get_float_positions(n_particles=200)\n",
    "ds_float_01"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6d817ea0-c5e4-4b32-a115-7ab9885aa9ea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_float_01.plot.scatter(x=\"lon\", y=\"lat\", s=40, alpha=0.6);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7f73d7ad-07b3-4f8a-b8be-80d4dd43460a",
   "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",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<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",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
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       "}\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",
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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:   (particle: 300)\n",
       "Coordinates:\n",
       "    lat       (particle) float64 -26.15 -61.57 -83.26 ... -67.42 62.42 -50.97\n",
       "    lon       (particle) float64 114.4 2.43 63.11 116.7 ... -60.48 167.9 -76.22\n",
       "  * particle  (particle) int64 0 1 2 3 4 5 6 7 ... 293 294 295 296 297 298 299\n",
       "Data variables:\n",
       "    *empty*</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-55e2d1eb-e572-40eb-9b03-f28accab3d50' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-55e2d1eb-e572-40eb-9b03-f28accab3d50' 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'>particle</span>: 300</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e9c3c60e-70ff-4ea7-8171-681b5ca3e9c2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e9c3c60e-70ff-4ea7-8171-681b5ca3e9c2' 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>lat</span></div><div class='xr-var-dims'>(particle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-26.15 -61.57 ... 62.42 -50.97</div><input id='attrs-572cefe7-18b2-46be-8a3f-7db3ec89fadf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-572cefe7-18b2-46be-8a3f-7db3ec89fadf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23aaf996-76db-485f-a9dc-b2e113e179aa' class='xr-var-data-in' type='checkbox'><label for='data-23aaf996-76db-485f-a9dc-b2e113e179aa' 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([-26.15336141, -61.56722024, -83.25783728, -37.88162703,\n",
       "        -5.32689399,  24.98875391,  80.4800898 , -60.70757557,\n",
       "       -69.13089744,  55.77017352, -57.08693011,  51.16217977,\n",
       "       -54.39260686, -46.72567572,  21.97913338, -61.87543202,\n",
       "       -77.34383188, -36.4225044 ,  30.17972991,  60.19732447,\n",
       "         7.00150375,   7.17071322, -60.56128352, -70.85897793,\n",
       "        -9.77038008, -11.03701634, -35.1491829 ,  64.34341749,\n",
       "       -56.54031628, -21.97250671,  46.72334264,   4.7841394 ,\n",
       "        76.52745383,  55.52998016,  44.79504098, -65.53712037,\n",
       "        10.86155395, -88.40330602,  76.44192877, -23.80357235,\n",
       "        36.12893025, -39.7113419 ,  13.06441316, -77.41514457,\n",
       "       -52.81256532, -58.15758234,   5.97939477,  25.94213907,\n",
       "        57.95075268,  31.19342501,  46.57255139, -50.32605988,\n",
       "        -0.84641861, -14.21624273,  43.51528514, -40.53284814,\n",
       "       -48.8108394 , -21.95903567,  70.38901805, -83.11516749,\n",
       "        87.68452008, -39.5783938 , -62.42333695, -14.12923015,\n",
       "       -40.59295982,   9.31138696,  30.32920746,   6.86422955,\n",
       "        76.25947124, -20.91156481, -20.57174749,  63.61529078,\n",
       "       -82.37296134, -73.02656998,  56.69574784, -33.10265147,\n",
       "       -32.37871316,  50.38243598,  23.76069948,  83.79363967,\n",
       "...\n",
       "        73.62042967,  11.13892268, -72.98825663,  20.59333896,\n",
       "        54.14652073,  27.72749565, -78.97416573,  36.83285532,\n",
       "        -8.9005798 , -75.62733253, -73.13073804,  22.21108276,\n",
       "       -20.55059077,  11.10065695, -85.40770738,  76.50400054,\n",
       "       -85.00773319,  -6.56776367,  60.37165224,  21.3176952 ,\n",
       "        -8.72713833,  68.6957646 ,  86.07024294, -48.49913677,\n",
       "        58.31369248,  77.48166888, -49.38533011, -61.74465592,\n",
       "        63.70624517,  85.21620738,  47.91928404, -41.60595564,\n",
       "        75.27287269, -75.70205657, -77.80090748,  20.78739713,\n",
       "       -69.78478395,  10.86704823, -60.53528543, -67.85570273,\n",
       "       -61.06652767, -85.38181371,  71.93189888, -50.49461238,\n",
       "        75.32714738,  -2.15006246,  80.10610432, -26.88318857,\n",
       "        40.88132437,  60.50421831,  69.17601659,  36.79295414,\n",
       "        18.32479518, -40.85960405,  -5.82970639,  26.68940576,\n",
       "       -38.31078809, -43.77066582,  44.15366501,  11.11977656,\n",
       "        64.56726619,  39.65553138,  18.65690398,  68.52114668,\n",
       "       -19.664885  ,   6.4974581 ,  12.4750589 ,   5.40202288,\n",
       "        83.97442753,  22.40130981,  27.71664411, -34.88606564,\n",
       "       -36.88405403, -69.01245009, -14.36792156, -56.63552712,\n",
       "        15.42463931, -67.41913316,  62.42467796, -50.96523157])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(particle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>114.4 2.43 63.11 ... 167.9 -76.22</div><input id='attrs-5b2b5d64-1c9b-4041-880f-93ce447881db' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5b2b5d64-1c9b-4041-880f-93ce447881db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d932252-3257-4dd0-a9de-a6d99f82c409' class='xr-var-data-in' type='checkbox'><label for='data-2d932252-3257-4dd0-a9de-a6d99f82c409' 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([ 114.43585746,    2.42961492,   63.11220103,  116.67085966,\n",
       "        -13.97290834,  152.75654469,  -91.65928067,   59.86175753,\n",
       "        140.11813922, -159.49227516,  133.64959278,   18.73363834,\n",
       "         48.36151546,   -0.41445028, -134.33894658,   25.02617507,\n",
       "          4.89435322, -149.02370066,   56.09836278, -163.92311596,\n",
       "        112.01639772,   83.65474195,   60.80954664, -155.33820598,\n",
       "       -155.05651315,   31.26815728,  100.26212806,  134.75962571,\n",
       "         12.20690666,   -0.82157175,  -19.66625003,  -82.48229436,\n",
       "         86.8294655 ,  -69.04078666, -147.73038102,  -61.27816138,\n",
       "         -4.44949368,   33.50013334, -168.34486428,  104.65714602,\n",
       "        -39.79595551,  -75.39155146,   74.38981085,   29.06180109,\n",
       "        -68.16240656, -107.89659473,   96.0692198 , -137.65612684,\n",
       "        -28.59985272,   49.46304609,  -93.44540679,  128.63075256,\n",
       "        -53.81893468,  -24.96344517,   33.07563295,  -68.63874301,\n",
       "        -74.02942135,   70.45762793,   99.5812848 ,  149.47991576,\n",
       "       -155.48457593,  -81.70052402,  144.57460643,  -36.65697864,\n",
       "        109.11215613, -100.46317817,  137.26120789, -152.61140613,\n",
       "        -73.50170506, -160.06141393, -138.60964045,   49.26998402,\n",
       "       -144.48053107,  -24.41167347, -124.71214719,  -10.72515972,\n",
       "        -66.37542439,   28.04138404,  -17.43898085,   67.11296647,\n",
       "...\n",
       "        135.99425951,   84.37164262,  -23.83186883,  -87.60477618,\n",
       "       -118.40654646,   80.81199826,   37.90461209,  162.18601309,\n",
       "        -72.00052139,   45.36636492, -140.79452746,  -37.81130097,\n",
       "        -24.02447233, -167.43245968,  -86.87646771,   -1.90290959,\n",
       "       -116.58249283,  174.52793496, -150.93235773,  -57.61627407,\n",
       "         49.07367745, -158.58660971,  177.18046893,  -27.67287784,\n",
       "       -108.38741606,   11.66695074, -174.2645677 ,   21.89743635,\n",
       "       -171.30409204, -152.57292011,  -80.52224697,  -34.56202148,\n",
       "         79.30156247,  -24.80407581,  116.51436887,  132.52543196,\n",
       "         -2.70765927,  138.31113039,  133.99142446,   51.9688967 ,\n",
       "        -89.3166544 ,   82.37164688,    9.18759345,   94.663527  ,\n",
       "       -152.62907812,   37.55101573,   28.28040453,   96.335645  ,\n",
       "       -115.78127354,  -91.52720128, -128.29479615, -151.8310008 ,\n",
       "        145.11144801,  -87.36686154,  -30.5995335 ,  120.30035945,\n",
       "       -129.57333359,    0.30799905,  -11.4086104 , -126.10558486,\n",
       "       -171.15357693,  -32.85662366,   71.39421306,  -99.13060417,\n",
       "        133.2401038 ,   42.60117901,   78.19412264,  144.15633699,\n",
       "        179.08874923,  152.27674471,   16.49781704,   71.72900659,\n",
       "          8.36442955,  -41.12314473,  139.96812806, -156.74953161,\n",
       "       -110.3388572 ,  -60.48417216,  167.85674817,  -76.22454095])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>particle</span></div><div class='xr-var-dims'>(particle)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 295 296 297 298 299</div><input id='attrs-d9322b94-24f4-406d-97a9-2054481a4056' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d9322b94-24f4-406d-97a9-2054481a4056' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbf89e35-035e-483f-a140-9dd5d72ae679' class='xr-var-data-in' type='checkbox'><label for='data-dbf89e35-035e-483f-a140-9dd5d72ae679' 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, ..., 297, 298, 299])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4ca917b0-c642-4ed1-9847-d96d9a5ba290' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4ca917b0-c642-4ed1-9847-d96d9a5ba290' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e8dbed86-8684-4a0d-b491-229a15578a61' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e8dbed86-8684-4a0d-b491-229a15578a61' 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:   (particle: 300)\n",
       "Coordinates:\n",
       "    lat       (particle) float64 -26.15 -61.57 -83.26 ... -67.42 62.42 -50.97\n",
       "    lon       (particle) float64 114.4 2.43 63.11 116.7 ... -60.48 167.9 -76.22\n",
       "  * particle  (particle) int64 0 1 2 3 4 5 6 7 ... 293 294 295 296 297 298 299\n",
       "Data variables:\n",
       "    *empty*"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_float_02 = get_float_positions(n_particles=300)\n",
    "ds_float_02"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "751a9dbb-6ca7-4b6a-a045-e4d0b16f3cfb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_float_02.plot.scatter(x=\"lon\", y=\"lat\", s=40, alpha=0.6);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f132c7b-81e3-46b2-a1c5-b1952cd67b14",
   "metadata": {},
   "source": [
    "## Sample field for both particle sets and add some measurement error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "7416a39a-6110-4259-a052-e5e96c3b61af",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:   (particle: 200)\n",
       "Coordinates:\n",
       "    lat       (particle) float64 25.9 -19.51 8.508 ... -81.5 -1.932 -17.17\n",
       "    lon       (particle) float64 106.0 30.08 4.154 -51.47 ... -176.1 157.4 10.39\n",
       "  * particle  (particle) int64 0 1 2 3 4 5 6 7 ... 193 194 195 196 197 198 199\n",
       "Data variables:\n",
       "    temp      (particle) float64 26.69 28.69 29.14 30.66 ... 4.562 30.13 28.95</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-bf0e0497-6daf-4b19-86c1-b5869f5d872b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bf0e0497-6daf-4b19-86c1-b5869f5d872b' 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'>particle</span>: 200</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-11d29573-a2b5-4fcb-bb2c-0c15fcc7da59' class='xr-section-summary-in' type='checkbox'  checked><label for='section-11d29573-a2b5-4fcb-bb2c-0c15fcc7da59' 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>lat</span></div><div class='xr-var-dims'>(particle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>25.9 -19.51 8.508 ... -1.932 -17.17</div><input id='attrs-395fbbba-60f9-4208-9550-13dd461fdc25' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-395fbbba-60f9-4208-9550-13dd461fdc25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cad16e50-08c0-4409-80b7-0bdbfdce9c88' class='xr-var-data-in' type='checkbox'><label for='data-cad16e50-08c0-4409-80b7-0bdbfdce9c88' 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([ 25.89902376, -19.51046095,   8.50827812,  -4.42413952,\n",
       "        85.70813297, -45.36620779, -61.66900589, -57.55148159,\n",
       "        27.83308313,  10.65221561, -75.40677364,  79.45862882,\n",
       "       -28.00297261,  89.427307  ,  86.52134084, -77.87964126,\n",
       "        10.34539833, -22.80622704,  50.25210403, -76.07473505,\n",
       "        13.07626547,   2.0136364 ,  44.38427336, -30.22576034,\n",
       "        31.80525821,  64.37950983,  50.11083464,  49.69800495,\n",
       "       -28.31692948, -14.26706178, -70.92337507, -68.82899574,\n",
       "       -41.29082438,  78.67241537, -45.26431612,  75.56046354,\n",
       "       -73.66847029, -63.85299975, -12.22607081, -86.17621856,\n",
       "       -19.26449482,  -3.62620412,  12.6249648 ,  43.29339202,\n",
       "        69.88937204, -18.43655095, -21.56985773,   6.48308158,\n",
       "        76.83659304, -75.26396593, -59.62743029,  -9.38035259,\n",
       "        38.54991679, -67.2644963 , -43.51250128,  21.6320517 ,\n",
       "        23.9360765 ,  41.46241152,  19.19120548,  62.57828832,\n",
       "        23.53761753,  48.35194277,  78.33682175,   4.30953971,\n",
       "       -82.42793386, -21.74799247, -56.71808761,  71.27937025,\n",
       "       -10.56222393,  72.47838885,  29.73641716, -59.16641931,\n",
       "        14.82476375,  46.03094096, -74.00436024, -47.64859302,\n",
       "        54.16832979,  42.77555509, -55.32310432,  69.06197269,\n",
       "...\n",
       "       -47.81741582, -63.43897588, -50.18950114, -72.28453976,\n",
       "        21.13519139, -11.8073065 , -86.21475364,  79.44016873,\n",
       "        85.78253267, -34.76302612,  86.26334282,   3.49895382,\n",
       "         1.55561571, -88.97950042,  -3.36739139,  37.14628498,\n",
       "       -88.86746412,  64.68757763, -77.87619113,  84.55392574,\n",
       "        70.70470333, -74.40976984,  83.5183931 , -39.91566961,\n",
       "       -67.59922143, -50.69938986,  33.33788278,  48.65063558,\n",
       "       -31.56500443,  61.6637675 , -65.81328454,  53.32055966,\n",
       "        16.42669575,  70.9092443 , -22.68917708, -51.70760648,\n",
       "       -59.92945872,  80.9020592 , -13.14164436,  71.70345656,\n",
       "        69.35685227, -33.70280371,  84.15669083, -10.75897745,\n",
       "        58.78913131,  46.33637416, -47.13756717, -74.72659759,\n",
       "        51.91593396,  20.91190288, -60.31969023,   2.91210364,\n",
       "       -47.74671929,   7.62370599,  17.71940315, -88.22688983,\n",
       "        -0.57709686, -70.23101114, -69.00194922, -80.9944481 ,\n",
       "       -45.71834522,  39.10480738,  27.04743485,  59.39825385,\n",
       "       -70.75512038,  46.97739545, -30.36477094,  -5.84200602,\n",
       "         0.09036962,  31.44941117, -11.02522992, -26.37636992,\n",
       "       -36.14993239,  20.81386309, -71.622793  ,   9.44540102,\n",
       "        -7.49062409, -81.49595903,  -1.9324998 , -17.16857737])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(particle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>106.0 30.08 4.154 ... 157.4 10.39</div><input id='attrs-8e931ae4-f08f-4304-9ce5-f83718b3a5cb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8e931ae4-f08f-4304-9ce5-f83718b3a5cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d11ae6fe-c3e5-4918-8515-49ad20f1ac56' class='xr-var-data-in' type='checkbox'><label for='data-d11ae6fe-c3e5-4918-8515-49ad20f1ac56' 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([ 105.96438218,   30.07862324,    4.15358557,  -51.47431017,\n",
       "        -61.47430797, -141.32247697,   51.62862684,  -53.72967067,\n",
       "        153.3975335 ,  -53.19210753, -137.65204251, -166.8607021 ,\n",
       "       -179.0418898 ,  -97.36393052,  -66.60276816,   56.71922372,\n",
       "        144.33362024,   -6.56938503,  -16.92690295,   95.52199496,\n",
       "         64.02885473,   74.87393326,  175.2976639 ,  148.23086906,\n",
       "        140.2393169 ,  157.72244516,  132.98876032,  172.9248333 ,\n",
       "       -104.68151002,  -36.01692454,  -23.61620458, -148.31783978,\n",
       "       -147.82112264,  -41.09757633,   66.73998965,  -10.28036921,\n",
       "         79.49225497, -111.77753262,   93.2418243 ,  143.7382897 ,\n",
       "        -76.97150301, -154.94393992, -152.66458778, -123.52441865,\n",
       "          3.32790768,  131.66151691, -129.67102807,  124.65463677,\n",
       "         86.6910766 ,  -56.61537215,  -70.34172308,   72.6910479 ,\n",
       "         94.86398597,   39.21465315, -123.59819048,  176.14215257,\n",
       "          7.92897824,  -71.25019072,   92.90683316,    5.5983754 ,\n",
       "        120.18028636,   76.53806964,  146.30706945,    2.1364306 ,\n",
       "       -122.76637606,   65.76473479, -148.10590718,  105.88334018,\n",
       "       -155.44876702,  -45.56139442,  123.81952173, -128.93755723,\n",
       "        -52.82341915,  179.52933791,  -54.01339919,   -5.69170545,\n",
       "        -62.95745953,  171.23844177,   23.71492437,   38.04840451,\n",
       "...\n",
       "         88.8378466 ,  -59.24589526,   -5.5368592 ,    1.78958479,\n",
       "        -21.97519424,  126.09828909,  -75.15694374,   71.85129612,\n",
       "        -39.25975767,  -52.80342472, -136.05839203,  145.58487511,\n",
       "         78.52299681,   62.41100415, -105.2106641 , -168.82008196,\n",
       "       -116.81236472,  -89.25987133, -118.22036336,   38.87638288,\n",
       "        176.22514691, -160.97533132,  151.01521179,   19.96790573,\n",
       "       -122.96643422,  105.31529172,   70.72516371,  -56.00667993,\n",
       "       -120.18515228,  143.25703779, -173.50891211, -136.28059846,\n",
       "        136.23332798, -129.7442056 ,   16.4901572 , -165.89660849,\n",
       "        -98.85144155, -178.43603166,  147.10637065,   92.66226284,\n",
       "       -108.05034444,  152.98314405, -153.91555205,    7.57342995,\n",
       "       -172.81451067,  127.36350636,  137.17835931, -155.67779513,\n",
       "         11.06485996,  112.16226067, -119.31151475,  151.53754271,\n",
       "       -160.21562791, -112.65201987,  -69.93271211, -105.52497041,\n",
       "       -176.50150337,   39.54790583, -113.61583506,  146.06262275,\n",
       "       -161.33876722,  -36.37676673,  -61.75745568,   71.6524611 ,\n",
       "        125.10446075,  -83.27777338, -113.62205203,   23.28052196,\n",
       "       -121.8547637 ,  -71.38252059,  -89.46438145,  145.08969951,\n",
       "        -22.7058482 ,  150.71178713,   27.24243486,  138.13038376,\n",
       "       -146.73686186, -176.07736138,  157.43642144,   10.39462346])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>particle</span></div><div class='xr-var-dims'>(particle)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 195 196 197 198 199</div><input id='attrs-7b93fd2d-ff8c-41b2-bb4b-a7f3ec372ccb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7b93fd2d-ff8c-41b2-bb4b-a7f3ec372ccb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-083bb989-149d-4362-928c-20fa4fc0d0d3' class='xr-var-data-in' type='checkbox'><label for='data-083bb989-149d-4362-928c-20fa4fc0d0d3' 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,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,\n",
       "        14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,\n",
       "        28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,\n",
       "        42,  43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,\n",
       "        56,  57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,\n",
       "        70,  71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,\n",
       "        84,  85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,\n",
       "        98,  99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,\n",
       "       112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125,\n",
       "       126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139,\n",
       "       140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153,\n",
       "       154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167,\n",
       "       168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181,\n",
       "       182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195,\n",
       "       196, 197, 198, 199])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c302ab2c-d74e-4418-a307-52f70763089c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c302ab2c-d74e-4418-a307-52f70763089c' 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>temp</span></div><div class='xr-var-dims'>(particle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>26.69 28.69 29.14 ... 30.13 28.95</div><input id='attrs-760397ec-b73c-4596-96f6-6446c91aae36' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-760397ec-b73c-4596-96f6-6446c91aae36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06056022-8b47-4a0d-918f-a6b412d75e9a' class='xr-var-data-in' type='checkbox'><label for='data-06056022-8b47-4a0d-918f-a6b412d75e9a' 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([26.68931044, 28.686023  , 29.1354268 , 30.66009464,  1.64135149,\n",
       "       21.94836191, 14.49938536, 15.65383451, 25.9814572 , 30.1861396 ,\n",
       "        9.62179255,  5.20400286, 24.73718723, -0.77132178,  1.09357124,\n",
       "        7.44401336, 29.94311019, 27.06774736, 19.8537058 ,  8.37406984,\n",
       "       28.38697158, 28.08423033, 19.65656629, 27.68935181, 24.29210704,\n",
       "       13.54965069, 20.06397507, 20.07010253, 24.48436015, 28.03659247,\n",
       "       10.48642006, 10.84196178, 23.56851027,  4.50928776, 20.45618295,\n",
       "        9.1580136 ,  7.19549642, 13.87923836, 29.21963271,  1.25783413,\n",
       "       28.72385785, 30.05183161, 29.0038786 , 22.11731154,  8.69650507,\n",
       "       28.19867355, 28.7644429 , 30.32283346,  5.64362419,  6.37588942,\n",
       "       15.54612784, 30.81747465, 22.38638691, 12.26868148, 21.45253171,\n",
       "       27.9274345 , 27.43418375, 23.91111358, 29.2252164 , 14.57468227,\n",
       "       28.18155675, 19.38435461,  7.0100902 , 28.18889484,  3.78791295,\n",
       "       25.99751065, 16.67186146,  9.38624948, 30.47976679,  9.88832737,\n",
       "       26.61347433, 16.00552078, 28.00353855, 20.63110337,  8.34064735,\n",
       "       20.11284564, 16.79105293, 22.43083742, 14.91589172, 10.58679261,\n",
       "       30.26552737, 21.54482401, 19.18027233,  4.44681243, 29.11739492,\n",
       "       28.68851843,  3.70163255, 18.63084821, 29.30418945, 29.09047461,\n",
       "       15.20892775,  6.59814104, 29.02019675, 26.69100882, 20.78285718,\n",
       "       30.07211216, 29.84474775, 30.39998093, 26.91662246, 10.46150859,\n",
       "       24.79674544, 10.87989164,  7.41212389, 31.54294475, 14.53897691,\n",
       "       11.65683052, 29.34947752,  4.50669838,  9.54775412, 16.98215951,\n",
       "       25.61288436, 26.47619641, 31.90097041, 27.6841349 , 29.01759147,\n",
       "       23.41517803,  2.56193284, 24.36092569,  1.82434686, 24.82248349,\n",
       "       19.29320787, 14.28548402, 19.08582991,  9.49960631, 27.94701978,\n",
       "       29.76451623,  3.15144822,  5.93292203,  1.59454449, 25.39751469,\n",
       "        2.81712787, 30.08841162, 30.33125728,  0.14975828, 31.18497808,\n",
       "       24.67082322, -1.90687499, 11.65761319,  7.27455755,  1.69346654,\n",
       "       10.15079178,  6.9122245 ,  5.77309648, 24.25675378, 11.17253461,\n",
       "       18.88213229, 27.48501881, 18.40677703, 27.28127107, 13.7071882 ,\n",
       "       11.47120569, 17.779041  , 30.8972356 ,  9.39701303, 26.03552704,\n",
       "       17.99719383, 15.50921421,  5.84593624, 28.80961965,  9.89858227,\n",
       "       10.11379577, 24.02644454,  3.32061082, 30.64792987, 15.73980944,\n",
       "       21.62980248, 20.1885039 ,  7.32153005, 19.01965286, 29.06171655,\n",
       "       17.30429968, 29.63217057, 19.06351558, 28.23483747, 29.50011011,\n",
       "        0.81178555, 30.57423852, 10.51276204, 10.98010518,  5.32047021,\n",
       "       19.9004875 , 23.96508542, 27.91361249, 14.68040858, 10.54137043,\n",
       "       22.08254373, 25.59765998, 29.45326046, 32.13558304, 27.00867778,\n",
       "       28.23357896, 25.83096563, 24.01109093, 27.2507095 ,  8.88100324,\n",
       "       28.66393527, 30.2066221 ,  4.56237347, 30.13184925, 28.95111538])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-64d74432-2608-4065-840c-cddfe6451fb5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-64d74432-2608-4065-840c-cddfe6451fb5' 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:   (particle: 200)\n",
       "Coordinates:\n",
       "    lat       (particle) float64 25.9 -19.51 8.508 ... -81.5 -1.932 -17.17\n",
       "    lon       (particle) float64 106.0 30.08 4.154 -51.47 ... -176.1 157.4 10.39\n",
       "  * particle  (particle) int64 0 1 2 3 4 5 6 7 ... 193 194 195 196 197 198 199\n",
       "Data variables:\n",
       "    temp      (particle) float64 26.69 28.69 29.14 30.66 ... 4.562 30.13 28.95"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_float_01[\"temp\"] = ds_field.temp.sel(\n",
    "    lat=ds_float_01.lat, \n",
    "    lon=ds_float_01.lon,\n",
    "    method=\"nearest\",\n",
    ")\n",
    "\n",
    "ds_float_01[\"temp\"] = ds_float_01[\"temp\"] + 0.1 * np.random.normal(size=ds_float_01[\"temp\"].shape)\n",
    "\n",
    "ds_float_01"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ca5049cc-0911-4ef6-bdb5-9f85cddc8fad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_float_01.plot.scatter(\n",
    "    x=\"lon\", y=\"lat\", s=40,\n",
    "    hue=\"temp\", cmap=\"viridis\", vmin=0, vmax=30\n",
    ");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "48ea30ca-4d3a-4531-bbef-d5b08663d32f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
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       "  --xr-background-color-row-even: #111111;\n",
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       "\n",
       ".xr-text-repr-fallback {\n",
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       "\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:   (particle: 300)\n",
       "Coordinates:\n",
       "    lat       (particle) float64 -26.15 -61.57 -83.26 ... -67.42 62.42 -50.97\n",
       "    lon       (particle) float64 114.4 2.43 63.11 116.7 ... -60.48 167.9 -76.22\n",
       "  * particle  (particle) int64 0 1 2 3 4 5 6 7 ... 293 294 295 296 297 298 299\n",
       "Data variables:\n",
       "    temp      (particle) float64 27.56 14.78 6.463 24.65 ... 9.919 12.76 18.76</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-84e3751f-9f26-4e86-817c-71494ece2e85' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-84e3751f-9f26-4e86-817c-71494ece2e85' 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'>particle</span>: 300</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c1d8ea2d-7100-4594-8eba-10bcdb3c871e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c1d8ea2d-7100-4594-8eba-10bcdb3c871e' 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>lat</span></div><div class='xr-var-dims'>(particle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-26.15 -61.57 ... 62.42 -50.97</div><input id='attrs-3dafe7fc-76fe-4f42-b726-80a0626afea3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3dafe7fc-76fe-4f42-b726-80a0626afea3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4de5380-3431-4f9f-9e0f-c2d397749e8f' class='xr-var-data-in' type='checkbox'><label for='data-d4de5380-3431-4f9f-9e0f-c2d397749e8f' 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([-26.15336141, -61.56722024, -83.25783728, -37.88162703,\n",
       "        -5.32689399,  24.98875391,  80.4800898 , -60.70757557,\n",
       "       -69.13089744,  55.77017352, -57.08693011,  51.16217977,\n",
       "       -54.39260686, -46.72567572,  21.97913338, -61.87543202,\n",
       "       -77.34383188, -36.4225044 ,  30.17972991,  60.19732447,\n",
       "         7.00150375,   7.17071322, -60.56128352, -70.85897793,\n",
       "        -9.77038008, -11.03701634, -35.1491829 ,  64.34341749,\n",
       "       -56.54031628, -21.97250671,  46.72334264,   4.7841394 ,\n",
       "        76.52745383,  55.52998016,  44.79504098, -65.53712037,\n",
       "        10.86155395, -88.40330602,  76.44192877, -23.80357235,\n",
       "        36.12893025, -39.7113419 ,  13.06441316, -77.41514457,\n",
       "       -52.81256532, -58.15758234,   5.97939477,  25.94213907,\n",
       "        57.95075268,  31.19342501,  46.57255139, -50.32605988,\n",
       "        -0.84641861, -14.21624273,  43.51528514, -40.53284814,\n",
       "       -48.8108394 , -21.95903567,  70.38901805, -83.11516749,\n",
       "        87.68452008, -39.5783938 , -62.42333695, -14.12923015,\n",
       "       -40.59295982,   9.31138696,  30.32920746,   6.86422955,\n",
       "        76.25947124, -20.91156481, -20.57174749,  63.61529078,\n",
       "       -82.37296134, -73.02656998,  56.69574784, -33.10265147,\n",
       "       -32.37871316,  50.38243598,  23.76069948,  83.79363967,\n",
       "...\n",
       "        73.62042967,  11.13892268, -72.98825663,  20.59333896,\n",
       "        54.14652073,  27.72749565, -78.97416573,  36.83285532,\n",
       "        -8.9005798 , -75.62733253, -73.13073804,  22.21108276,\n",
       "       -20.55059077,  11.10065695, -85.40770738,  76.50400054,\n",
       "       -85.00773319,  -6.56776367,  60.37165224,  21.3176952 ,\n",
       "        -8.72713833,  68.6957646 ,  86.07024294, -48.49913677,\n",
       "        58.31369248,  77.48166888, -49.38533011, -61.74465592,\n",
       "        63.70624517,  85.21620738,  47.91928404, -41.60595564,\n",
       "        75.27287269, -75.70205657, -77.80090748,  20.78739713,\n",
       "       -69.78478395,  10.86704823, -60.53528543, -67.85570273,\n",
       "       -61.06652767, -85.38181371,  71.93189888, -50.49461238,\n",
       "        75.32714738,  -2.15006246,  80.10610432, -26.88318857,\n",
       "        40.88132437,  60.50421831,  69.17601659,  36.79295414,\n",
       "        18.32479518, -40.85960405,  -5.82970639,  26.68940576,\n",
       "       -38.31078809, -43.77066582,  44.15366501,  11.11977656,\n",
       "        64.56726619,  39.65553138,  18.65690398,  68.52114668,\n",
       "       -19.664885  ,   6.4974581 ,  12.4750589 ,   5.40202288,\n",
       "        83.97442753,  22.40130981,  27.71664411, -34.88606564,\n",
       "       -36.88405403, -69.01245009, -14.36792156, -56.63552712,\n",
       "        15.42463931, -67.41913316,  62.42467796, -50.96523157])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(particle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>114.4 2.43 63.11 ... 167.9 -76.22</div><input id='attrs-f49cca7c-bbca-445d-bf5f-0b17c885811d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f49cca7c-bbca-445d-bf5f-0b17c885811d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-651875bf-4c6b-4ed7-97e8-47060611622f' class='xr-var-data-in' type='checkbox'><label for='data-651875bf-4c6b-4ed7-97e8-47060611622f' 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([ 114.43585746,    2.42961492,   63.11220103,  116.67085966,\n",
       "        -13.97290834,  152.75654469,  -91.65928067,   59.86175753,\n",
       "        140.11813922, -159.49227516,  133.64959278,   18.73363834,\n",
       "         48.36151546,   -0.41445028, -134.33894658,   25.02617507,\n",
       "          4.89435322, -149.02370066,   56.09836278, -163.92311596,\n",
       "        112.01639772,   83.65474195,   60.80954664, -155.33820598,\n",
       "       -155.05651315,   31.26815728,  100.26212806,  134.75962571,\n",
       "         12.20690666,   -0.82157175,  -19.66625003,  -82.48229436,\n",
       "         86.8294655 ,  -69.04078666, -147.73038102,  -61.27816138,\n",
       "         -4.44949368,   33.50013334, -168.34486428,  104.65714602,\n",
       "        -39.79595551,  -75.39155146,   74.38981085,   29.06180109,\n",
       "        -68.16240656, -107.89659473,   96.0692198 , -137.65612684,\n",
       "        -28.59985272,   49.46304609,  -93.44540679,  128.63075256,\n",
       "        -53.81893468,  -24.96344517,   33.07563295,  -68.63874301,\n",
       "        -74.02942135,   70.45762793,   99.5812848 ,  149.47991576,\n",
       "       -155.48457593,  -81.70052402,  144.57460643,  -36.65697864,\n",
       "        109.11215613, -100.46317817,  137.26120789, -152.61140613,\n",
       "        -73.50170506, -160.06141393, -138.60964045,   49.26998402,\n",
       "       -144.48053107,  -24.41167347, -124.71214719,  -10.72515972,\n",
       "        -66.37542439,   28.04138404,  -17.43898085,   67.11296647,\n",
       "...\n",
       "        135.99425951,   84.37164262,  -23.83186883,  -87.60477618,\n",
       "       -118.40654646,   80.81199826,   37.90461209,  162.18601309,\n",
       "        -72.00052139,   45.36636492, -140.79452746,  -37.81130097,\n",
       "        -24.02447233, -167.43245968,  -86.87646771,   -1.90290959,\n",
       "       -116.58249283,  174.52793496, -150.93235773,  -57.61627407,\n",
       "         49.07367745, -158.58660971,  177.18046893,  -27.67287784,\n",
       "       -108.38741606,   11.66695074, -174.2645677 ,   21.89743635,\n",
       "       -171.30409204, -152.57292011,  -80.52224697,  -34.56202148,\n",
       "         79.30156247,  -24.80407581,  116.51436887,  132.52543196,\n",
       "         -2.70765927,  138.31113039,  133.99142446,   51.9688967 ,\n",
       "        -89.3166544 ,   82.37164688,    9.18759345,   94.663527  ,\n",
       "       -152.62907812,   37.55101573,   28.28040453,   96.335645  ,\n",
       "       -115.78127354,  -91.52720128, -128.29479615, -151.8310008 ,\n",
       "        145.11144801,  -87.36686154,  -30.5995335 ,  120.30035945,\n",
       "       -129.57333359,    0.30799905,  -11.4086104 , -126.10558486,\n",
       "       -171.15357693,  -32.85662366,   71.39421306,  -99.13060417,\n",
       "        133.2401038 ,   42.60117901,   78.19412264,  144.15633699,\n",
       "        179.08874923,  152.27674471,   16.49781704,   71.72900659,\n",
       "          8.36442955,  -41.12314473,  139.96812806, -156.74953161,\n",
       "       -110.3388572 ,  -60.48417216,  167.85674817,  -76.22454095])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>particle</span></div><div class='xr-var-dims'>(particle)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 295 296 297 298 299</div><input id='attrs-b27f8fb8-3081-4de8-812c-ea4893912d2d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b27f8fb8-3081-4de8-812c-ea4893912d2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5af401d-a34d-44b7-ba02-3881edc53974' class='xr-var-data-in' type='checkbox'><label for='data-b5af401d-a34d-44b7-ba02-3881edc53974' 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, ..., 297, 298, 299])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-96e28088-63a1-44d1-8c00-d83d021a8753' class='xr-section-summary-in' type='checkbox'  checked><label for='section-96e28088-63a1-44d1-8c00-d83d021a8753' 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>temp</span></div><div class='xr-var-dims'>(particle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>27.56 14.78 6.463 ... 12.76 18.76</div><input id='attrs-d6cd3f1e-b2fc-4993-846f-e1316cff24ad' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d6cd3f1e-b2fc-4993-846f-e1316cff24ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78cce34a-7d6f-408e-a37d-78f1c5b4c211' class='xr-var-data-in' type='checkbox'><label for='data-78cce34a-7d6f-408e-a37d-78f1c5b4c211' 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([ 2.75613864e+01,  1.47832576e+01,  6.46287261e+00,  2.46526212e+01,\n",
       "        2.98941992e+01,  2.72807913e+01,  4.25172901e+00,  1.50681119e+01,\n",
       "        9.41430138e+00,  1.59105032e+01,  1.66505652e+01,  2.04987543e+01,\n",
       "        1.95199829e+01,  2.11531281e+01,  2.67558463e+01,  1.30229284e+01,\n",
       "        6.04773249e+00,  2.36578722e+01,  2.64846212e+01,  1.36588024e+01,\n",
       "        3.08265980e+01,  2.97203416e+01,  1.43994769e+01,  9.24419138e+00,\n",
       "        3.01375956e+01,  2.91393160e+01,  2.31904509e+01,  1.33311146e+01,\n",
       "        1.44644989e+01,  2.83959330e+01,  1.95222266e+01,  3.11245949e+01,\n",
       "        5.77313388e+00,  1.79452196e+01,  2.16697096e+01,  1.23598919e+01,\n",
       "        3.12322890e+01,  3.14380458e+00,  5.99396409e+00,  2.93610398e+01,\n",
       "        2.60841246e+01,  2.45001888e+01,  2.99132571e+01,  6.35397442e+00,\n",
       "        2.11184779e+01,  1.54410699e+01,  2.89427224e+01,  2.59893473e+01,\n",
       "        1.67792806e+01,  2.56527481e+01,  2.01869080e+01,  2.02105949e+01,\n",
       "        3.13111825e+01,  2.73125040e+01,  2.03070329e+01,  2.23338452e+01,\n",
       "        1.96260037e+01,  2.77357190e+01,  1.03933306e+01,  4.36511795e+00,\n",
       "        2.58352403e-01,  2.27760264e+01,  1.34609249e+01,  2.80282171e+01,\n",
       "        2.56093244e+01,  2.98198720e+01,  2.67332865e+01,  2.84761353e+01,\n",
       "        7.73880162e+00,  2.89936273e+01,  2.87616203e+01,  1.44270385e+01,\n",
       "        3.02709432e+00,  8.30382555e+00,  1.66778306e+01,  2.50011854e+01,\n",
       "        2.63121632e+01,  2.14435876e+01,  2.83570771e+01,  3.67525040e+00,\n",
       "...\n",
       "        7.33354255e+00,  2.89685475e+01,  8.38997009e+00,  3.00134169e+01,\n",
       "        1.84127986e+01,  2.62016013e+01,  5.68999025e+00,  2.43293290e+01,\n",
       "        3.15590847e+01,  6.48647524e+00,  7.13956246e+00,  2.79747102e+01,\n",
       "        2.73925421e+01,  3.05848590e+01,  2.86985198e+00,  6.99225593e+00,\n",
       "        2.21571122e+00,  2.94942250e+01,  1.50146100e+01,  2.84197524e+01,\n",
       "        2.94062375e+01,  1.09564445e+01,  2.38683643e+00,  2.24684648e+01,\n",
       "        1.43404059e+01,  4.76695830e+00,  2.16818512e+01,  1.45031207e+01,\n",
       "        1.30496563e+01,  2.08619944e+00,  1.95030280e+01,  2.20714964e+01,\n",
       "        7.06917351e+00,  7.17789453e+00,  6.78446826e+00,  2.87741650e+01,\n",
       "        7.77475331e+00,  2.84166972e+01,  1.40485708e+01,  1.05971423e+01,\n",
       "        1.53043694e+01,  2.86763497e+00,  9.07698552e+00,  1.64774660e+01,\n",
       "        8.37335497e+00,  2.99674045e+01,  3.49552453e+00,  2.55229678e+01,\n",
       "        2.32670475e+01,  1.47457178e+01,  1.07541933e+01,  2.34808119e+01,\n",
       "        2.99901847e+01,  2.24144390e+01,  2.98224033e+01,  2.65689996e+01,\n",
       "        2.18616113e+01,  2.25255667e+01,  2.08340691e+01,  2.95187389e+01,\n",
       "        1.30225077e+01,  2.46773733e+01,  2.75146565e+01,  9.81600435e+00,\n",
       "        2.77770890e+01,  3.05626594e+01,  2.94352950e+01,  2.89555551e+01,\n",
       "        3.24156496e+00,  2.81531548e+01,  2.72092778e+01,  2.45170186e+01,\n",
       "        2.50269104e+01,  1.09372646e+01,  2.80811871e+01,  1.62006946e+01,\n",
       "        2.68746479e+01,  9.91881345e+00,  1.27585509e+01,  1.87587656e+01])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-df9385d3-c262-40a0-ba2a-5eb6ca2dbae4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-df9385d3-c262-40a0-ba2a-5eb6ca2dbae4' 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:   (particle: 300)\n",
       "Coordinates:\n",
       "    lat       (particle) float64 -26.15 -61.57 -83.26 ... -67.42 62.42 -50.97\n",
       "    lon       (particle) float64 114.4 2.43 63.11 116.7 ... -60.48 167.9 -76.22\n",
       "  * particle  (particle) int64 0 1 2 3 4 5 6 7 ... 293 294 295 296 297 298 299\n",
       "Data variables:\n",
       "    temp      (particle) float64 27.56 14.78 6.463 24.65 ... 9.919 12.76 18.76"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_float_02[\"temp\"] = ds_field.temp.sel(\n",
    "    lat=ds_float_02.lat, \n",
    "    lon=ds_float_02.lon,\n",
    "    method=\"nearest\",\n",
    ")\n",
    "\n",
    "ds_float_02[\"temp\"] = ds_float_02[\"temp\"] + 0.2 * np.random.normal(size=ds_float_02[\"temp\"].shape)\n",
    "\n",
    "ds_float_02"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "555f9cc5-4bca-456d-91b6-cd7009cf63f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_float_02.plot.scatter(\n",
    "    x=\"lon\", y=\"lat\", s=40,\n",
    "    hue=\"temp\", cmap=\"viridis\", vmin=0, vmax=30\n",
    ");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d36a5f37-6cdb-4a1a-ac9b-c15ae4c92f1e",
   "metadata": {},
   "source": [
    "## Compare measurements\n",
    "\n",
    "How can we compare the two sets of particles?\n",
    "\n",
    "One way is to find the closest positions from one set for all positions of the other and compare them.\n",
    "We'll use [xoak](https://xoak.readthedocs.io) for the selection of positions from the unstructured particle dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "35386630-3eb2-468c-bbef-752265cd285c",
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "\n",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:   (particle: 300)\n",
       "Coordinates:\n",
       "    lat       (particle) float64 -18.44 -72.28 -77.88 ... -63.44 64.38 -45.18\n",
       "    lon       (particle) float64 131.7 1.79 56.72 134.7 ... -59.25 157.7 -71.04\n",
       "  * particle  (particle) int64 45 123 15 94 63 8 4 6 ... 30 158 66 173 121 25 81\n",
       "Data variables:\n",
       "    temp      (particle) float64 28.2 9.5 7.444 20.78 ... 14.29 13.55 21.54\n",
       "    dlat      (particle) float64 -7.717 10.72 -5.378 ... -3.98 -1.955 -5.788\n",
       "    dlon      (particle) float64 -17.23 0.64 6.393 ... -1.238 10.13 -5.185\n",
       "    dtemp     (particle) float64 -0.6373 5.284 -0.9811 ... -4.367 -0.7911 -2.786</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5a979353-8eb9-4172-92c7-a590b19ae860' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5a979353-8eb9-4172-92c7-a590b19ae860' 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'>particle</span>: 300</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a0797d63-c67b-453d-a4b3-15a93fdfaefa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a0797d63-c67b-453d-a4b3-15a93fdfaefa' 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>lat</span></div><div class='xr-var-dims'>(particle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-18.44 -72.28 ... 64.38 -45.18</div><input id='attrs-aa38c27a-02f8-49e0-8616-3a4c333b7c78' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aa38c27a-02f8-49e0-8616-3a4c333b7c78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82157fc7-4dac-45ab-9fc1-f03b46f800e5' class='xr-var-data-in' type='checkbox'><label for='data-82157fc7-4dac-45ab-9fc1-f03b46f800e5' 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([-18.43655095, -72.28453976, -77.87964126, -41.92876902,\n",
       "         4.30953971,  27.83308313,  85.70813297, -61.66900589,\n",
       "       -70.75512038,  58.78913131, -47.13756717,  51.91593396,\n",
       "       -61.66900589, -47.64859302,   8.28016112, -55.32310432,\n",
       "       -72.28453976, -41.29082438,  36.52703078,  58.78913131,\n",
       "         6.48308158,   1.55561571, -61.66900589, -68.82899574,\n",
       "       -10.56222393, -19.51046095, -47.81741582,  61.6637675 ,\n",
       "       -55.32310432, -22.80622704,  50.25210403, -11.02522992,\n",
       "        76.83659304,  54.16832979,  41.8959751 , -63.43897588,\n",
       "         8.50827812, -88.97950042,  79.45862882, -12.22607081,\n",
       "        39.10480738, -45.17756954,   5.08045187, -71.622793  ,\n",
       "       -59.62743029, -59.92945872,  16.10251333,   8.28016112,\n",
       "        50.25210403,  36.52703078,  46.97739545, -47.13756717,\n",
       "        -4.42413952, -14.26706178,  51.91593396, -45.17756954,\n",
       "       -45.17756954, -21.74799247,  71.27937025, -80.9944481 ,\n",
       "        86.26334282, -45.17756954, -60.95859375, -14.26706178,\n",
       "       -50.69938986,   7.62370599,  31.80525821,  12.6249648 ,\n",
       "        78.67241537, -18.11191488, -21.56985773,  69.06197269,\n",
       "       -80.39669312, -70.92337507,  53.32055966, -36.14993239,\n",
       "       -34.76302612,  51.91593396,  21.13519139,  84.55392574,\n",
       "...\n",
       "        78.33682175,  16.10251333, -70.92337507,  17.71940315,\n",
       "        53.32055966,  33.33788278, -77.87964126,  42.77555509,\n",
       "       -14.44738042, -77.87964126, -75.40677364,  21.13519139,\n",
       "       -14.26706178,  12.6249648 , -86.21475364,  75.56046354,\n",
       "       -82.42793386,   0.91957388,  53.32055966,  27.04743485,\n",
       "       -14.90097799,  66.59600772,  86.26334282, -36.14993239,\n",
       "        69.35685227,  75.56046354, -51.70760648, -55.32310432,\n",
       "        66.59600772,  84.15669083,  46.97739545, -36.14993239,\n",
       "        76.83659304, -70.92337507, -76.07473505,  16.42669575,\n",
       "       -72.28453976,   9.44540102, -70.75512038, -67.2644963 ,\n",
       "       -59.92945872, -87.22373837,  69.88937204, -53.893084  ,\n",
       "        79.45862882,  -5.84200602,  84.55392574, -12.22607081,\n",
       "        43.29339202,  64.68757763,  70.9092443 ,  41.8959751 ,\n",
       "        20.81386309, -45.17756954, -10.32758497,  23.53761753,\n",
       "       -43.51250128, -47.64859302,  50.25210403,   8.28016112,\n",
       "        66.59600772,  39.10480738,  13.07626547,  69.35685227,\n",
       "       -18.43655095,   9.99327386,   5.08045187,   3.49895382,\n",
       "        84.15669083,  20.81386309,  23.9360765 , -45.26431612,\n",
       "       -39.91566961, -70.92337507, -13.14164436, -56.71808761,\n",
       "         7.62370599, -63.43897588,  64.37950983, -45.17756954])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(particle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>131.7 1.79 56.72 ... 157.7 -71.04</div><input id='attrs-099ed3f9-acdf-4808-953f-4fb8e9a45efc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-099ed3f9-acdf-4808-953f-4fb8e9a45efc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-856c8c84-8dd3-4b6c-a280-25afe8d87ce8' class='xr-var-data-in' type='checkbox'><label for='data-856c8c84-8dd3-4b6c-a280-25afe8d87ce8' 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([ 131.66151691,    1.78958479,   56.71922372,  134.73099975,\n",
       "          2.1364306 ,  153.3975335 ,  -61.47430797,   51.62862684,\n",
       "        125.10446075, -172.81451067,  137.17835931,   11.06485996,\n",
       "         51.62862684,   -5.69170545, -137.68591981,   23.71492437,\n",
       "          1.78958479, -147.82112264,   63.2542012 , -172.81451067,\n",
       "        124.65463677,   78.52299681,   51.62862684, -148.31783978,\n",
       "       -155.44876702,   30.07862324,   88.8378466 ,  143.25703779,\n",
       "         23.71492437,   -6.56938503,  -16.92690295,  -89.46438145,\n",
       "         86.6910766 ,  -62.95745953, -152.76692614,  -59.24589526,\n",
       "          4.15358557,   62.41100415, -166.8607021 ,   93.2418243 ,\n",
       "        -36.37676673,  -71.03940302,   75.22326097,   27.24243486,\n",
       "        -70.34172308,  -98.85144155,   89.15496363, -137.68591981,\n",
       "        -16.92690295,   63.2542012 ,  -83.27777338,  137.17835931,\n",
       "        -51.47431017,  -36.01692454,   11.06485996,  -71.03940302,\n",
       "        -71.03940302,   65.76473479,  105.88334018,  146.06262275,\n",
       "       -136.05839203,  -71.03940302,  159.98657193,  -36.01692454,\n",
       "        105.31529172, -112.65201987,  140.2393169 , -152.66458778,\n",
       "        -41.09757633, -157.86657998, -129.67102807,   38.04840451,\n",
       "       -155.09841522,  -23.61620458, -136.28059846,  -22.7058482 ,\n",
       "        -52.80342472,   11.06485996,  -21.97519424,   38.87638288,\n",
       "...\n",
       "        146.30706945,   89.15496363,  -23.61620458,  -69.93271211,\n",
       "       -136.28059846,   70.72516371,   56.71922372,  171.23844177,\n",
       "        -79.15417245,   56.71922372, -137.65204251,  -21.97519424,\n",
       "        -36.01692454, -152.66458778,  -75.15694374,  -10.28036921,\n",
       "       -122.76637606,  170.46203787, -136.28059846,  -61.75745568,\n",
       "         54.16121328, -175.20971421, -136.05839203,  -22.7058482 ,\n",
       "       -108.05034444,  -10.28036921, -165.89660849,   23.71492437,\n",
       "       -175.20971421, -153.91555205,  -83.27777338,  -22.7058482 ,\n",
       "         86.6910766 ,  -23.61620458,   95.52199496,  136.23332798,\n",
       "          1.78958479,  138.13038376,  125.10446075,   39.21465315,\n",
       "        -98.85144155,  116.82917954,    3.32790768,   99.6709704 ,\n",
       "       -166.8607021 ,   23.28052196,   38.87638288,   93.2418243 ,\n",
       "       -123.52441865,  -89.25987133, -129.7442056 , -152.76692614,\n",
       "        150.71178713,  -71.03940302,  -38.10692766,  120.18028636,\n",
       "       -123.59819048,   -5.69170545,  -16.92690295, -137.68591981,\n",
       "       -175.20971421,  -36.37676673,   64.02885473, -108.05034444,\n",
       "        131.66151691,   22.65439462,   75.22326097,  145.58487511,\n",
       "       -153.91555205,  150.71178713,    7.92897824,   66.73998965,\n",
       "         19.96790573,  -23.61620458,  147.10637065, -148.10590718,\n",
       "       -112.65201987,  -59.24589526,  157.72244516,  -71.03940302])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>particle</span></div><div class='xr-var-dims'>(particle)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>45 123 15 94 63 ... 173 121 25 81</div><input id='attrs-302d1732-d846-4b12-a4a3-35201e9376a6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-302d1732-d846-4b12-a4a3-35201e9376a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6df275b5-7658-40a3-81b2-4db8086eb1d5' class='xr-var-data-in' type='checkbox'><label for='data-6df275b5-7658-40a3-81b2-4db8086eb1d5' 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([ 45, 123,  15, ..., 121,  25,  81])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3c6bd1b8-d94b-4e8c-9abe-d3e2930119cc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3c6bd1b8-d94b-4e8c-9abe-d3e2930119cc' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>temp</span></div><div class='xr-var-dims'>(particle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>28.2 9.5 7.444 ... 13.55 21.54</div><input id='attrs-8ea5ed8c-2f22-49c5-8fbf-a697577f9d52' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8ea5ed8c-2f22-49c5-8fbf-a697577f9d52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8dcdd302-34b4-4f1e-8c69-280e3b9988c2' class='xr-var-data-in' type='checkbox'><label for='data-8dcdd302-34b4-4f1e-8c69-280e3b9988c2' 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([28.19867355,  9.49960631,  7.44401336, 20.78285718, 28.18889484,\n",
       "       25.9814572 ,  1.64135149, 14.49938536, 10.54137043, 15.73980944,\n",
       "       20.1885039 , 19.01965286, 14.49938536, 20.11284564, 28.68851843,\n",
       "       14.91589172,  9.49960631, 23.56851027, 24.79674544, 15.73980944,\n",
       "       30.32283346, 30.33125728, 14.49938536, 10.84196178, 30.47976679,\n",
       "       28.686023  , 19.29320787, 13.7071882 , 14.91589172, 27.06774736,\n",
       "       19.8537058 , 28.23357896,  5.64362419, 16.79105293, 23.41517803,\n",
       "       14.28548402, 29.1354268 ,  0.14975828,  5.20400286, 29.21963271,\n",
       "       23.96508542, 21.54482401, 29.01759147,  8.88100324, 15.54612784,\n",
       "       15.50921421, 30.07211216, 28.68851843, 19.8537058 , 24.79674544,\n",
       "       22.08254373, 20.1885039 , 30.66009464, 28.03659247, 19.01965286,\n",
       "       21.54482401, 21.54482401, 25.99751065,  9.38624948,  5.32047021,\n",
       "        2.81712787, 21.54482401, 14.53897691, 28.03659247, 18.88213229,\n",
       "       28.23483747, 24.29210704, 29.0038786 ,  4.50928776, 29.30418945,\n",
       "       28.7644429 , 10.58679261,  4.44681243, 10.48642006, 17.779041  ,\n",
       "       24.01109093, 25.39751469, 19.01965286, 27.94701978,  1.69346654,\n",
       "       28.80961965,  7.32153005,  1.82434686, 29.1354268 , 29.94311019,\n",
       "       10.54137043,  9.54775412, 20.63110337,  9.88832737, 30.64792987,\n",
       "        1.64135149, 19.01965286, 29.2252164 , 28.23357896, 29.09047461,\n",
       "       30.07211216, 17.30429968, -0.77132178, 16.98215951, 26.47619641,\n",
       "...\n",
       "       28.00353855, 11.47120569, 28.38697158, 20.45618295, 10.58679261,\n",
       "       20.78285718, 30.1861396 ,  5.93292203, 14.91589172, 15.54612784,\n",
       "       10.46150859, 29.84474775,  0.14975828, 18.40677703, 24.79674544,\n",
       "       12.26868148, 24.82248349, 22.08254373, 30.13184925, 14.53897691,\n",
       "        7.0100902 , 30.07211216, 10.48642006, 29.50011011, 17.779041  ,\n",
       "       27.48501881,  7.44401336, 22.43083742, 29.11739492,  7.44401336,\n",
       "        9.62179255, 27.94701978, 28.03659247, 29.0038786 ,  3.15144822,\n",
       "        9.1580136 ,  3.78791295, 30.26552737, 17.779041  , 27.91361249,\n",
       "       29.09047461, 10.87989164,  2.81712787, 24.01109093, 10.11379577,\n",
       "        9.1580136 , 17.99719383, 14.91589172, 10.87989164,  3.32061082,\n",
       "       22.08254373, 24.01109093,  5.64362419, 10.48642006,  8.37406984,\n",
       "       30.8972356 ,  9.49960631, 28.66393527, 10.54137043, 12.26868148,\n",
       "       15.50921421,  3.70163255,  8.69650507, 16.98215951,  5.20400286,\n",
       "       29.45326046,  1.69346654, 29.21963271, 22.11731154, 11.65761319,\n",
       "        9.39701303, 23.41517803, 27.2507095 , 21.54482401, 29.02019675,\n",
       "       28.18155675, 21.45253171, 20.11284564, 19.8537058 , 28.68851843,\n",
       "       10.87989164, 23.96508542, 28.38697158, 10.11379577, 28.19867355,\n",
       "       31.54294475, 29.01759147, 30.08841162,  3.32061082, 27.2507095 ,\n",
       "       27.43418375, 20.45618295, 24.25675378, 10.48642006, 28.80961965,\n",
       "       16.67186146, 28.23483747, 14.28548402, 13.54965069, 21.54482401])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dlat</span></div><div class='xr-var-dims'>(particle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-7.717 10.72 ... -1.955 -5.788</div><input id='attrs-181b93ac-59bf-429c-9b58-c14847860558' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-181b93ac-59bf-429c-9b58-c14847860558' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bffc36da-e199-401c-840b-a4a3e3cc8bc1' class='xr-var-data-in' type='checkbox'><label for='data-bffc36da-e199-401c-840b-a4a3e3cc8bc1' 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([ -7.71681047,  10.71731952,  -5.37819602,   4.047142  ,\n",
       "        -9.6364337 ,  -2.84432922,  -5.22804317,   0.96143032,\n",
       "         1.62422293,  -3.01895779,  -9.94936295,  -0.7537542 ,\n",
       "         7.27639903,   0.9229173 ,  13.69897227,  -6.5523277 ,\n",
       "        -5.05929213,   4.86831999,  -6.34730087,   1.40819316,\n",
       "         0.51842217,   5.61509751,   1.10772237,  -2.02998219,\n",
       "         0.79184386,   8.4734446 ,  12.66823292,   2.67964999,\n",
       "        -1.21721196,   0.83372033,  -3.52876139,  15.80936933,\n",
       "        -0.30913921,   1.36165038,   2.89906588,  -2.09814449,\n",
       "         2.35327583,   0.57619441,  -3.01670005, -11.57750154,\n",
       "        -2.97587712,   5.46622764,   7.98396129,  -5.79235157,\n",
       "         6.81486497,   1.77187638, -10.12311857,  17.66197796,\n",
       "         7.69864865,  -5.33360577,  -0.40484406,  -3.18849272,\n",
       "         3.5777209 ,   0.05081905,  -8.40064882,   4.6447214 ,\n",
       "        -3.63326986,  -0.2110432 ,  -0.8903522 ,  -2.1207194 ,\n",
       "         1.42117726,   5.59917574,  -1.4647432 ,   0.13783163,\n",
       "        10.10643003,   1.68768097,  -1.47605075,  -5.76073525,\n",
       "        -2.41294413,  -2.79964993,   0.99811025,  -5.4466819 ,\n",
       "        -1.97626823,  -2.10319491,   3.37518818,   3.04728092,\n",
       "         2.38431295,  -1.53349798,   2.6255081 ,  -0.76028607,\n",
       "...\n",
       "        -4.71639209,  -4.96359065,  -2.06488156,   2.87393581,\n",
       "         0.82596107,  -5.61038713,  -1.09452447,  -5.94269977,\n",
       "         5.54680061,   2.25230873,   2.27603559,   1.07589137,\n",
       "        -6.28352899,  -1.52430785,   0.80704626,   0.943537  ,\n",
       "        -2.57979933,  -7.48733755,   7.05109257,  -5.72973965,\n",
       "         6.17383967,   2.09975688,  -0.19309988, -12.34920438,\n",
       "       -11.04315978,   1.92120533,   2.32227637,  -6.4215516 ,\n",
       "        -2.88976256,   1.05951655,   0.94188859,  -5.45602325,\n",
       "        -1.56372035,  -4.7786815 ,  -1.72617244,   4.36070138,\n",
       "         2.4997558 ,   1.42164721,  10.21983495,  -0.59120643,\n",
       "        -1.13706894,   1.84192466,   2.04252684,   3.39847162,\n",
       "        -4.13148144,   3.69194355,  -4.44782142, -14.65711776,\n",
       "        -2.41206764,  -4.18335932,  -1.73322771,  -5.10302096,\n",
       "        -2.48906791,   4.3179655 ,   4.49787857,   3.15178823,\n",
       "         5.2017132 ,   3.8779272 ,  -6.09843901,   2.83961545,\n",
       "        -2.02874153,   0.55072401,   5.5806385 ,  -0.83570559,\n",
       "        -1.22833406,  -3.49581576,   7.39460703,   1.90306906,\n",
       "        -0.1822633 ,   1.58744672,   3.78056762,  10.37825048,\n",
       "         3.03161558,   1.91092499,  -1.2262772 ,   0.08256049,\n",
       "         7.80093332,  -3.98015728,  -1.95483187,  -5.78766203])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dlon</span></div><div class='xr-var-dims'>(particle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-17.23 0.64 6.393 ... 10.13 -5.185</div><input id='attrs-5ecaa5e2-088d-4eb5-bc29-61b7ac798647' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5ecaa5e2-088d-4eb5-bc29-61b7ac798647' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4a5ca13-75bd-4c13-bd2e-29db1d64db95' class='xr-var-data-in' type='checkbox'><label for='data-a4a5ca13-75bd-4c13-bd2e-29db1d64db95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1.72256595e+01,  6.40030135e-01,  6.39297731e+00, -1.80601401e+01,\n",
       "       -1.61093389e+01, -6.40988814e-01, -3.01849727e+01,  8.23313069e+00,\n",
       "        1.50136785e+01,  1.33222355e+01, -3.52876652e+00,  7.66877838e+00,\n",
       "       -3.26711138e+00,  5.27725517e+00,  3.34697323e+00,  1.31125070e+00,\n",
       "        3.10476843e+00, -1.20257802e+00, -7.15583842e+00,  8.89139471e+00,\n",
       "       -1.26382390e+01,  5.13174514e+00,  9.18091980e+00, -7.02036620e+00,\n",
       "        3.92253876e-01,  1.18953404e+00,  1.14242815e+01, -8.49741208e+00,\n",
       "       -1.15080177e+01,  5.74781328e+00, -2.73934707e+00,  6.98208709e+00,\n",
       "        1.38388901e-01, -6.08332713e+00,  5.03654512e+00, -2.03226613e+00,\n",
       "       -8.60307924e+00, -2.89108708e+01, -1.48416217e+00,  1.14153217e+01,\n",
       "       -3.41918878e+00, -4.35214844e+00, -8.33450117e-01,  1.81936623e+00,\n",
       "        2.17931652e+00, -9.04515318e+00,  6.91425617e+00,  2.97929719e-02,\n",
       "       -1.16729498e+01, -1.37911551e+01, -1.01676334e+01, -8.54760675e+00,\n",
       "       -2.34462452e+00,  1.10534794e+01,  2.20107730e+01,  2.40066001e+00,\n",
       "       -2.99001833e+00,  4.69289313e+00, -6.30205538e+00,  3.41729301e+00,\n",
       "       -1.94261839e+01, -1.06611210e+01, -1.54119655e+01, -6.40054093e-01,\n",
       "        3.79686441e+00,  1.21888417e+01, -2.97810901e+00,  5.31816510e-02,\n",
       "       -3.24041287e+01, -2.19483395e+00, -8.93861237e+00,  1.12215795e+01,\n",
       "        1.06178841e+01, -7.95468889e-01,  1.15684513e+01,  1.19806885e+01,\n",
       "       -1.35719997e+01,  1.69765241e+01,  4.53621339e+00,  2.82365836e+01,\n",
       "...\n",
       "       -1.03128099e+01, -4.78332101e+00, -2.15664250e-01, -1.76720641e+01,\n",
       "        1.78740520e+01,  1.00868346e+01, -1.88146116e+01, -9.05242868e+00,\n",
       "        7.15365105e+00, -1.13528588e+01, -3.14248495e+00, -1.58361067e+01,\n",
       "        1.19924522e+01, -1.47678719e+01, -1.17195240e+01,  8.37745962e+00,\n",
       "        6.18388323e+00,  4.06589709e+00, -1.46517593e+01,  4.14118161e+00,\n",
       "       -5.08753583e+00,  1.66231045e+01,  3.13238861e+02, -4.96702964e+00,\n",
       "       -3.37071619e-01,  2.19473199e+01, -8.36795922e+00, -1.81748802e+00,\n",
       "        3.90562217e+00,  1.34263195e+00,  2.75552641e+00, -1.18561733e+01,\n",
       "       -7.38951412e+00, -1.18787122e+00,  2.09923739e+01, -3.70789602e+00,\n",
       "       -4.49724406e+00,  1.80746638e-01,  8.88696372e+00,  1.27542436e+01,\n",
       "        9.53478715e+00, -3.44575327e+01,  5.85968577e+00, -5.00744339e+00,\n",
       "        1.42316240e+01,  1.42704938e+01, -1.05959784e+01,  3.09382070e+00,\n",
       "        7.74314511e+00, -2.26732995e+00,  1.44940944e+00,  9.35925341e-01,\n",
       "       -5.60033912e+00, -1.63274585e+01,  7.50739416e+00,  1.20073083e-01,\n",
       "       -5.97514311e+00,  5.99970450e+00,  5.51829255e+00,  1.15803350e+01,\n",
       "        4.05613728e+00,  3.52014306e+00,  7.36535832e+00,  8.91974027e+00,\n",
       "        1.57858689e+00,  1.99467844e+01,  2.97086167e+00, -1.42853812e+00,\n",
       "        3.33004301e+02,  1.56495758e+00,  8.56883880e+00,  4.98901693e+00,\n",
       "       -1.16034762e+01, -1.75069401e+01, -7.13824258e+00, -8.64362443e+00,\n",
       "        2.31316267e+00, -1.23827690e+00,  1.01343030e+01, -5.18513793e+00])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dtemp</span></div><div class='xr-var-dims'>(particle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.6373 5.284 ... -0.7911 -2.786</div><input id='attrs-d3cbfc48-54f2-492c-8c8e-06303bef8206' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d3cbfc48-54f2-492c-8c8e-06303bef8206' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b70787a6-0a83-4138-9fd9-b6f023c61623' class='xr-var-data-in' type='checkbox'><label for='data-b70787a6-0a83-4138-9fd9-b6f023c61623' 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([-6.37287132e-01,  5.28365133e+00, -9.81140752e-01,  3.86976405e+00,\n",
       "        1.70530437e+00,  1.29933408e+00,  2.61037752e+00,  5.68726569e-01,\n",
       "       -1.12706905e+00,  1.70693734e-01, -3.53793868e+00,  1.47910145e+00,\n",
       "        5.02059754e+00,  1.04028250e+00, -1.93267215e+00, -1.89296330e+00,\n",
       "       -3.45187383e+00,  8.93619026e-02,  1.68787571e+00, -2.08100707e+00,\n",
       "        5.03764576e-01, -6.10915634e-01, -9.99084382e-02, -1.59777040e+00,\n",
       "       -3.42171172e-01,  4.53292983e-01,  3.89724299e+00, -3.76073645e-01,\n",
       "       -4.51392786e-01,  1.32818560e+00, -3.31479177e-01,  2.89101595e+00,\n",
       "        1.29509695e-01,  1.15416665e+00, -1.74546845e+00, -1.92559207e+00,\n",
       "        2.09686217e+00,  2.99404630e+00,  7.89961231e-01,  1.41407057e-01,\n",
       "        2.11903920e+00,  2.95536478e+00,  8.95665658e-01, -2.52702882e+00,\n",
       "        5.57235004e+00, -6.81443411e-02, -1.12938977e+00, -2.69917111e+00,\n",
       "       -3.07442518e+00,  8.56002695e-01, -1.89563577e+00,  2.20910074e-02,\n",
       "        6.51087849e-01, -7.24088428e-01,  1.28738007e+00,  7.89021184e-01,\n",
       "       -1.91882029e+00,  1.73820838e+00,  1.00708109e+00, -9.55352256e-01,\n",
       "       -2.55877546e+00,  1.23120243e+00, -1.07805201e+00, -8.37537964e-03,\n",
       "        6.72719214e+00,  1.58503451e+00,  2.44117942e+00, -5.27743289e-01,\n",
       "        3.22951386e+00, -3.10562135e-01, -2.82257467e-03,  3.84024589e+00,\n",
       "       -1.41971812e+00, -2.18259452e+00, -1.10121045e+00,  9.90094461e-01,\n",
       "        9.14648514e-01,  2.42393470e+00,  4.10057317e-01,  1.98178386e+00,\n",
       "...\n",
       "        3.23452355e-01, -1.10356465e+00, -2.09644998e+00,  5.13306797e-01,\n",
       "        6.33757612e-01, -1.28341754e+00, -1.75402311e+00,  1.89849153e+00,\n",
       "        2.44168974e+00, -9.57538128e-01, -2.48223010e+00,  2.76904065e-02,\n",
       "       -6.44050368e-01,  1.58098035e+00, -2.81596242e-01, -2.16575766e+00,\n",
       "       -1.57220172e+00, -7.71302414e-01, -2.76443099e+00,  5.06139870e-01,\n",
       "        3.15762845e-01,  7.65528582e-02, -4.30291432e-01, -1.54262610e+00,\n",
       "        4.22661010e+00, -4.39105530e+00,  3.68465733e+00, -4.12771026e-01,\n",
       "        2.16976464e+00, -1.23441138e+00, -2.57951572e+00, -1.93959457e+00,\n",
       "        1.42554932e+00, -3.30852553e+00, -1.58960158e+00, -2.12307060e+00,\n",
       "       -1.72485300e+00, -2.47238114e-01,  3.50720038e+00, -1.67153915e+00,\n",
       "       -2.04844834e-01, -8.33997588e-01,  3.80480457e-01, -5.04693541e-01,\n",
       "        3.16935211e+00,  5.14144072e-01,  1.80205799e+00, -3.69666489e+00,\n",
       "        1.14973597e+00,  3.08810464e+00,  1.35718023e+00,  6.56338619e-02,\n",
       "        2.73947516e+00,  8.69615033e-01,  8.02206575e-01, -1.61255710e+00,\n",
       "        4.09079622e-01,  2.41272107e+00,  9.80363317e-01,  8.30220430e-01,\n",
       "        2.14261606e+00,  7.12287848e-01, -8.72315030e-01, -2.97791413e-01,\n",
       "       -4.21584541e-01, -9.80285357e-01,  4.17703482e-01, -1.13285656e+00,\n",
       "       -7.90458559e-02,  9.02445305e-01, -2.24905925e-01,  4.06083566e+00,\n",
       "        7.70156575e-01,  4.50844491e-01, -7.28432585e-01, -4.71166846e-01,\n",
       "       -1.36018959e+00, -4.36667057e+00, -7.91099782e-01, -2.78605836e+00])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-adcf2202-d978-47fe-83bf-3af7069c971d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-adcf2202-d978-47fe-83bf-3af7069c971d' 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:   (particle: 300)\n",
       "Coordinates:\n",
       "    lat       (particle) float64 -18.44 -72.28 -77.88 ... -63.44 64.38 -45.18\n",
       "    lon       (particle) float64 131.7 1.79 56.72 134.7 ... -59.25 157.7 -71.04\n",
       "  * particle  (particle) int64 45 123 15 94 63 8 4 6 ... 30 158 66 173 121 25 81\n",
       "Data variables:\n",
       "    temp      (particle) float64 28.2 9.5 7.444 20.78 ... 14.29 13.55 21.54\n",
       "    dlat      (particle) float64 -7.717 10.72 -5.378 ... -3.98 -1.955 -5.788\n",
       "    dlon      (particle) float64 -17.23 0.64 6.393 ... -1.238 10.13 -5.185\n",
       "    dtemp     (particle) float64 -0.6373 5.284 -0.9811 ... -4.367 -0.7911 -2.786"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# build index\n",
    "ds_float_01.xoak.set_index([\"lat\", \"lon\"], 'sklearn_geo_balltree')\n",
    "\n",
    "# for each position in 02, select nearest pos in 01\n",
    "ds_float_01_nns_for_02 = ds_float_01.xoak.sel(\n",
    "    lat=ds_float_02.lat,\n",
    "    lon=ds_float_02.lon,\n",
    ")\n",
    "\n",
    "# track differences (note the .data in the first term)\n",
    "ds_float_01_nns_for_02[\"dlat\"] = ds_float_02.lat.data - ds_float_01_nns_for_02.lat\n",
    "ds_float_01_nns_for_02[\"dlon\"] = ds_float_02.lon.data - ds_float_01_nns_for_02.lon\n",
    "ds_float_01_nns_for_02[\"dtemp\"] = ds_float_02.temp.data - ds_float_01_nns_for_02.temp\n",
    "\n",
    "ds_float_01_nns_for_02"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "ebc5be1d-74a6-4f83-b7c9-2c437346ead5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f8af240a490>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_float_01_nns_for_02.plot.scatter(\n",
    "    x=\"dtemp\", y=\"dlat\", hue=\"lat\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1d92fda7-c4c0-4ffb-847d-531b380c72a5",
   "metadata": {},
   "source": [
    "Interpretation: We have a strong effect from a latitude mismatch between the particle positions.\n",
    "This is expected, because we have a strong latitude dependence of the underlying temperature data.\n",
    "\n",
    "On top of this, we see some noise from the measurement errors we introduced when sampling the two particle sets from the original field."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be68e129-da63-4695-a2f5-9416ef68cd1d",
   "metadata": {},
   "source": [
    "## Alternative methods\n",
    "\n",
    "For two sparse sets of particles, (typical distance between particles larger than the typical spatial scales in the underlying continuous fields), it might not always be good to aassociate two positions just because they happen to be the closes pair.\n",
    "\n",
    "We could add thresholds like only associating positions if they are closer than a given threshold.\n",
    "\n",
    "Or we could go for clustering the two particle clouds and hence finding groups of positions from both sets which are close together."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}