training_data.ipynb

{
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   "id": "d9dc8751-a8e1-434b-b8d2-6f8f8db4bb86",
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   "source": [
    "from xgcm import Grid\n",
    "import pop_tools\n",
    "import gcsfs\n",
    "import fsspec as fs\n",
    "import numpy as np\n",
    "import xesmf as xe\n",
    "import xarray as xr\n",
    "import random\n",
    "import matplotlib.pyplot as plt\n",
    "import warnings\n",
    "from xgcm import Grid\n",
    "import importlib\n",
    "import preprocessing\n",
    "import gcm_filters\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "importlib.reload(preprocessing)\n",
    "from preprocessing import preprocess_data\n",
    "from gcm_filtering import filter_inputs_dataset\n",
    "from gcm_filtering import filter_inputs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8647f7d0-6b66-4167-9d55-5c23b1599098",
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     "text": [
      "Load Data\n",
      "Interpolating ocean velocities\n",
      "Modify units\n",
      "Load Data\n",
      "Align in time\n",
      "Interpolating ocean velocities\n",
      "Regrid Atmospheric Data\n",
      "Modify units\n",
      "Mask nans\n",
      "Calculate relative wind\n"
     ]
    },
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 3TB\n",
       "Dimensions:       (time: 7305, yt_ocean: 2700, xt_ocean: 3600)\n",
       "Coordinates:\n",
       "  * time          (time) object 58kB 0181-01-01 12:00:00 ... 0200-12-31 12:00:00\n",
       "  * xt_ocean      (xt_ocean) float64 29kB -279.9 -279.8 -279.7 ... 79.85 79.95\n",
       "  * yt_ocean      (yt_ocean) float64 22kB -81.11 -81.07 -81.02 ... 89.94 89.98\n",
       "    area_t        (yt_ocean, xt_ocean) float64 78MB dask.array&lt;chunksize=(2700, 3600), meta=np.ndarray&gt;\n",
       "    dxt           (yt_ocean, xt_ocean) float64 78MB dask.array&lt;chunksize=(2700, 3600), meta=np.ndarray&gt;\n",
       "    dyt           (yt_ocean, xt_ocean) float64 78MB dask.array&lt;chunksize=(2700, 3600), meta=np.ndarray&gt;\n",
       "    geolat_t      (yt_ocean, xt_ocean) float32 39MB dask.array&lt;chunksize=(2700, 3600), meta=np.ndarray&gt;\n",
       "    geolon_t      (yt_ocean, xt_ocean) float32 39MB dask.array&lt;chunksize=(2700, 3600), meta=np.ndarray&gt;\n",
       "    ht            (yt_ocean, xt_ocean) float32 39MB dask.array&lt;chunksize=(2700, 3600), meta=np.ndarray&gt;\n",
       "    kmt           (yt_ocean, xt_ocean) float32 39MB dask.array&lt;chunksize=(2700, 3600), meta=np.ndarray&gt;\n",
       "    wet           (yt_ocean, xt_ocean) float64 78MB dask.array&lt;chunksize=(2700, 3600), meta=np.ndarray&gt;\n",
       "Data variables:\n",
       "    slp           (time, yt_ocean, xt_ocean) float32 284GB dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "    v_ref         (time, yt_ocean, xt_ocean) float32 284GB dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "    u_ref         (time, yt_ocean, xt_ocean) float32 284GB dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "    t_ref         (time, yt_ocean, xt_ocean) float32 284GB dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "    q_ref         (time, yt_ocean, xt_ocean) float32 284GB dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "    wind          (time, yt_ocean, xt_ocean) float32 284GB dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "    surface_temp  (time, yt_ocean, xt_ocean) float32 284GB dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "    u_ocean       (time, yt_ocean, xt_ocean) float32 284GB dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "    v_ocean       (time, yt_ocean, xt_ocean) float32 284GB dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "    u_relative    (time, yt_ocean, xt_ocean) float32 284GB dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "    v_relative    (time, yt_ocean, xt_ocean) float32 284GB dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    regrid_method:  bilinear</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c6effad6-5dee-4996-869a-10135fc374f9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c6effad6-5dee-4996-869a-10135fc374f9' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 7305</li><li><span class='xr-has-index'>yt_ocean</span>: 2700</li><li><span class='xr-has-index'>xt_ocean</span>: 3600</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-21c8b9cf-e383-4208-9cda-4fbf477eff8d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-21c8b9cf-e383-4208-9cda-4fbf477eff8d' class='xr-section-summary' >Coordinates: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>0181-01-01 12:00:00 ... 0200-12-...</div><input id='attrs-5a34ecac-036b-422f-b393-9c2c62e5598f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5a34ecac-036b-422f-b393-9c2c62e5598f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b31e5b9-7b0c-48af-a7f8-16f06cbdf96a' class='xr-var-data-in' type='checkbox'><label for='data-5b31e5b9-7b0c-48af-a7f8-16f06cbdf96a' 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([cftime.DatetimeJulian(181, 1, 1, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(181, 1, 2, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(181, 1, 3, 12, 0, 0, 0, has_year_zero=False), ...,\n",
       "       cftime.DatetimeJulian(200, 12, 29, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(200, 12, 30, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(200, 12, 31, 12, 0, 0, 0, has_year_zero=False)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xt_ocean</span></div><div class='xr-var-dims'>(xt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-279.9 -279.8 ... 79.85 79.95</div><input id='attrs-7797797a-68ab-4445-be0d-c00358a6ab4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7797797a-68ab-4445-be0d-c00358a6ab4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-578be0f6-491d-4a06-bff8-bbc43adf4ba0' class='xr-var-data-in' type='checkbox'><label for='data-578be0f6-491d-4a06-bff8-bbc43adf4ba0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cartesian_axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>tcell longitude</dd><dt><span>units :</span></dt><dd>degrees_E</dd></dl></div><div class='xr-var-data'><pre>array([-279.95, -279.85, -279.75, ...,   79.75,   79.85,   79.95])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yt_ocean</span></div><div class='xr-var-dims'>(yt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-81.11 -81.07 ... 89.94 89.98</div><input id='attrs-a895b6d1-538b-4778-bce7-fb0b253f10bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a895b6d1-538b-4778-bce7-fb0b253f10bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e09cedbf-af99-48f9-80e4-fffa4a06e44e' class='xr-var-data-in' type='checkbox'><label for='data-e09cedbf-af99-48f9-80e4-fffa4a06e44e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cartesian_axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>tcell latitude</dd><dt><span>units :</span></dt><dd>degrees_N</dd></dl></div><div class='xr-var-data'><pre>array([-81.108632, -81.066392, -81.024153, ...,  89.894417,  89.936657,\n",
       "        89.978896])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>area_t</span></div><div class='xr-var-dims'>(yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-c19d2a8c-69f3-48ff-b728-a5246a71b6b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c19d2a8c-69f3-48ff-b728-a5246a71b6b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0bc5708-61b1-466f-808d-1231e186f3d0' class='xr-var-data-in' type='checkbox'><label for='data-b0bc5708-61b1-466f-808d-1231e186f3d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>tracer cell area</dd><dt><span>units :</span></dt><dd>m^2</dd><dt><span>valid_range :</span></dt><dd>[0.0, 999999986991104.0]</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 74.16 MiB </td>\n",
       "                        <td> 74.16 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 8 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"140\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"90\" x2=\"120\" y2=\"90\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"90\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"90\" style=\"stroke-width:2\" />\n",
       "\n",
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       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,90.0 0.0,90.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
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       "  <text x=\"60.000000\" y=\"110.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3600</text>\n",
       "  <text x=\"140.000000\" y=\"45.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,45.000000)\">2700</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dxt</span></div><div class='xr-var-dims'>(yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-a258a83b-22e3-46d4-92d2-38948e40d4dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a258a83b-22e3-46d4-92d2-38948e40d4dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d15e4d75-d504-4fb9-926e-8fadd4d9b293' class='xr-var-data-in' type='checkbox'><label for='data-d15e4d75-d504-4fb9-926e-8fadd4d9b293' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>width of T_cell</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 74.16 MiB </td>\n",
       "                        <td> 74.16 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"140\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"90\" x2=\"120\" y2=\"90\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"90\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"90\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,90.0 0.0,90.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
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       "  <text x=\"60.000000\" y=\"110.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3600</text>\n",
       "  <text x=\"140.000000\" y=\"45.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,45.000000)\">2700</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dyt</span></div><div class='xr-var-dims'>(yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-122b15e3-ac4b-4c89-9ed4-e65a5bcc60d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-122b15e3-ac4b-4c89-9ed4-e65a5bcc60d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f358a472-ed63-42f5-a1d5-2d70dc79d625' class='xr-var-data-in' type='checkbox'><label for='data-f358a472-ed63-42f5-a1d5-2d70dc79d625' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height of T_cell</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 74.16 MiB </td>\n",
       "                        <td> 74.16 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"140\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"90\" x2=\"120\" y2=\"90\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"90\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"90\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,90.0 0.0,90.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
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       "  <text x=\"60.000000\" y=\"110.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3600</text>\n",
       "  <text x=\"140.000000\" y=\"45.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,45.000000)\">2700</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geolat_t</span></div><div class='xr-var-dims'>(yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-3801524f-38dc-432f-8653-88dd662b829e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3801524f-38dc-432f-8653-88dd662b829e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd5a6111-4ace-4da1-bef1-ad0aae55fdb8' class='xr-var-data-in' type='checkbox'><label for='data-cd5a6111-4ace-4da1-bef1-ad0aae55fdb8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>tracer latitude</dd><dt><span>units :</span></dt><dd>degrees_N</dd><dt><span>valid_range :</span></dt><dd>[-91.0, 91.0]</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 37.08 MiB </td>\n",
       "                        <td> 37.08 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"140\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"90\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"90\" style=\"stroke-width:2\" />\n",
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       "  <text x=\"60.000000\" y=\"110.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3600</text>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geolon_t</span></div><div class='xr-var-dims'>(yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-b41e7481-7eaf-42ac-9011-b71238f7ccd3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b41e7481-7eaf-42ac-9011-b71238f7ccd3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b18c0996-db60-4663-bbc8-7fc178641b8c' class='xr-var-data-in' type='checkbox'><label for='data-b18c0996-db60-4663-bbc8-7fc178641b8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>tracer longitude</dd><dt><span>units :</span></dt><dd>degrees_E</dd><dt><span>valid_range :</span></dt><dd>[-281.0, 361.0]</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 37.08 MiB </td>\n",
       "                        <td> 37.08 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"140\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ht</span></div><div class='xr-var-dims'>(yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-222dc2eb-5e6c-4946-af5b-d28d4b2024a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-222dc2eb-5e6c-4946-af5b-d28d4b2024a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6884088b-6131-4437-9a6c-1b218c951668' class='xr-var-data-in' type='checkbox'><label for='data-6884088b-6131-4437-9a6c-1b218c951668' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>ocean depth on t-cells</dd><dt><span>standard_name :</span></dt><dd>sea_floor_depth_below_geoid</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_range :</span></dt><dd>[-1000000000.0, 1000000000.0]</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 37.08 MiB </td>\n",
       "                        <td> 37.08 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>kmt</span></div><div class='xr-var-dims'>(yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-77917918-f7c7-45cf-bbb7-341bdc6cb763' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77917918-f7c7-45cf-bbb7-341bdc6cb763' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0eca9a40-f19b-43f7-8b26-92760b3f52ff' class='xr-var-data-in' type='checkbox'><label for='data-0eca9a40-f19b-43f7-8b26-92760b3f52ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>number of depth levels on t-grid</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>valid_range :</span></dt><dd>[-10.0, 1000000000.0]</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 37.08 MiB </td>\n",
       "                        <td> 37.08 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wet</span></div><div class='xr-var-dims'>(yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-b70accce-6d46-43f4-ab33-e93e58b09e4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b70accce-6d46-43f4-ab33-e93e58b09e4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00a758e1-9e79-4611-9f92-efe53b783515' class='xr-var-data-in' type='checkbox'><label for='data-00a758e1-9e79-4611-9f92-efe53b783515' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>land/sea flag (0=land) for T-cell</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 74.16 MiB </td>\n",
       "                        <td> 74.16 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 264.51 GiB </td>\n",
       "                        <td> 111.24 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (7305, 2700, 3600) </td>\n",
       "                        <td> (3, 2700, 3600) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2435 chunks in 19 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_ref</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-a2c5fca6-8b3d-4422-a4b2-c35037254db4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a2c5fca6-8b3d-4422-a4b2-c35037254db4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22bda274-d59b-4629-ab5d-ba0c05cc6421' class='xr-var-data-in' type='checkbox'><label for='data-22bda274-d59b-4629-ab5d-ba0c05cc6421' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                    <tr>\n",
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       "                        <th> Array </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 264.51 GiB </td>\n",
       "                        <td> 111.24 MiB </td>\n",
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       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 264.51 GiB </td>\n",
       "                        <td> 111.24 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_ref</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-69a91970-8f17-4583-9b43-d10ef7ebf9aa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-69a91970-8f17-4583-9b43-d10ef7ebf9aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29688747-955b-4239-982d-b1030ef3d43d' class='xr-var-data-in' type='checkbox'><label for='data-29688747-955b-4239-982d-b1030ef3d43d' 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'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
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       "                <tbody>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 264.51 GiB </td>\n",
       "                        <td> 111.24 MiB </td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_relative</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-27e9be58-39c0-471d-9321-9702de1ff7c5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-27e9be58-39c0-471d-9321-9702de1ff7c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83340aa8-da42-4204-87ae-fe3eb70aaaac' class='xr-var-data-in' type='checkbox'><label for='data-83340aa8-da42-4204-87ae-fe3eb70aaaac' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 264.51 GiB </td>\n",
       "                        <td> 111.24 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (7305, 2700, 3600) </td>\n",
       "                        <td> (3, 2700, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2435 chunks in 37 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "            </table>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_relative</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-6143525a-4ee5-4342-950f-0654a6611156' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6143525a-4ee5-4342-950f-0654a6611156' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dba69b49-09ec-4655-bb42-ec085a7d0f45' class='xr-var-data-in' type='checkbox'><label for='data-dba69b49-09ec-4655-bb42-ec085a7d0f45' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 264.51 GiB </td>\n",
       "                        <td> 111.24 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (7305, 2700, 3600) </td>\n",
       "                        <td> (3, 2700, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2435 chunks in 37 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-3c914c2e-26ec-4c9a-843f-a38bf6eb811e' class='xr-section-summary-in' type='checkbox'  ><label for='section-3c914c2e-26ec-4c9a-843f-a38bf6eb811e' class='xr-section-summary' >Indexes: <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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c2b56644-c964-4a50-ae49-784b73daee6a' class='xr-index-data-in' type='checkbox'/><label for='index-c2b56644-c964-4a50-ae49-784b73daee6a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([0181-01-01 12:00:00, 0181-01-02 12:00:00, 0181-01-03 12:00:00,\n",
       "             0181-01-04 12:00:00, 0181-01-05 12:00:00, 0181-01-06 12:00:00,\n",
       "             0181-01-07 12:00:00, 0181-01-08 12:00:00, 0181-01-09 12:00:00,\n",
       "             0181-01-10 12:00:00,\n",
       "             ...\n",
       "             0200-12-22 12:00:00, 0200-12-23 12:00:00, 0200-12-24 12:00:00,\n",
       "             0200-12-25 12:00:00, 0200-12-26 12:00:00, 0200-12-27 12:00:00,\n",
       "             0200-12-28 12:00:00, 0200-12-29 12:00:00, 0200-12-30 12:00:00,\n",
       "             0200-12-31 12:00:00],\n",
       "            dtype=&#x27;object&#x27;, length=7305, calendar=&#x27;julian&#x27;, freq=&#x27;D&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>xt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f0738ad0-a07d-44bd-a3cf-dc5ef6ff0bd8' class='xr-index-data-in' type='checkbox'/><label for='index-f0738ad0-a07d-44bd-a3cf-dc5ef6ff0bd8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([            -279.95, -279.84999999999997, -279.74999999999994,\n",
       "        -279.6499999999999,  -279.5499999999999,  -279.4499999999999,\n",
       "       -279.34999999999985, -279.24999999999983,  -279.1499999999998,\n",
       "        -279.0499999999998,\n",
       "       ...\n",
       "         79.04999999999492,   79.14999999999495,   79.24999999999491,\n",
       "         79.34999999999494,    79.4499999999949,   79.54999999999492,\n",
       "         79.64999999999489,   79.74999999999491,   79.84999999999488,\n",
       "          79.9499999999949],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;xt_ocean&#x27;, length=3600))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>yt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-813f170b-ffc0-48ce-a6e6-89fe7919437a' class='xr-index-data-in' type='checkbox'/><label for='index-813f170b-ffc0-48ce-a6e6-89fe7919437a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-81.10863167835483, -81.06639232397434, -81.02415296959386,\n",
       "       -80.98191361521337, -80.93967426083289,  -80.8974349064524,\n",
       "       -80.85519555207192, -80.81295619769143, -80.77071684331095,\n",
       "       -80.72847748893047,\n",
       "       ...\n",
       "        89.59874190883218,   89.6409812632127,   89.6832206175932,\n",
       "        89.72545997197363,  89.76769932635409,  89.80993868073463,\n",
       "        89.85217803511516,  89.89441738949557,    89.936656743876,\n",
       "        89.97889609825653],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;yt_ocean&#x27;, length=2700))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-187f8a96-803c-42bc-91f5-0ba64958a555' class='xr-section-summary-in' type='checkbox'  checked><label for='section-187f8a96-803c-42bc-91f5-0ba64958a555' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>regrid_method :</span></dt><dd>bilinear</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 3TB\n",
       "Dimensions:       (time: 7305, yt_ocean: 2700, xt_ocean: 3600)\n",
       "Coordinates:\n",
       "  * time          (time) object 58kB 0181-01-01 12:00:00 ... 0200-12-31 12:00:00\n",
       "  * xt_ocean      (xt_ocean) float64 29kB -279.9 -279.8 -279.7 ... 79.85 79.95\n",
       "  * yt_ocean      (yt_ocean) float64 22kB -81.11 -81.07 -81.02 ... 89.94 89.98\n",
       "    area_t        (yt_ocean, xt_ocean) float64 78MB dask.array<chunksize=(2700, 3600), meta=np.ndarray>\n",
       "    dxt           (yt_ocean, xt_ocean) float64 78MB dask.array<chunksize=(2700, 3600), meta=np.ndarray>\n",
       "    dyt           (yt_ocean, xt_ocean) float64 78MB dask.array<chunksize=(2700, 3600), meta=np.ndarray>\n",
       "    geolat_t      (yt_ocean, xt_ocean) float32 39MB dask.array<chunksize=(2700, 3600), meta=np.ndarray>\n",
       "    geolon_t      (yt_ocean, xt_ocean) float32 39MB dask.array<chunksize=(2700, 3600), meta=np.ndarray>\n",
       "    ht            (yt_ocean, xt_ocean) float32 39MB dask.array<chunksize=(2700, 3600), meta=np.ndarray>\n",
       "    kmt           (yt_ocean, xt_ocean) float32 39MB dask.array<chunksize=(2700, 3600), meta=np.ndarray>\n",
       "    wet           (yt_ocean, xt_ocean) float64 78MB dask.array<chunksize=(2700, 3600), meta=np.ndarray>\n",
       "Data variables:\n",
       "    slp           (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    v_ref         (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    u_ref         (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    t_ref         (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    q_ref         (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    wind          (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    surface_temp  (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    u_ocean       (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    v_ocean       (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    u_relative    (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    v_relative    (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "Attributes:\n",
       "    regrid_method:  bilinear"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_merged = preprocess_data()\n",
    "ds_merged"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "963d00b7-d29d-4e0b-ad4b-f06798b76ff0",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 3TB\n",
       "Dimensions:       (time: 7305, yt_ocean: 2700, xt_ocean: 3600)\n",
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       "    v_relative    (time, yt_ocean, xt_ocean) float32 284GB dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    regrid_method:  bilinear</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-11049529-cd03-4442-be88-d423338df28c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-11049529-cd03-4442-be88-d423338df28c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 7305</li><li><span class='xr-has-index'>yt_ocean</span>: 2700</li><li><span class='xr-has-index'>xt_ocean</span>: 3600</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c98c3f68-b1e9-4e00-ad0e-cdc02350c337' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c98c3f68-b1e9-4e00-ad0e-cdc02350c337' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>0181-01-01 12:00:00 ... 0200-12-...</div><input id='attrs-bbe4d273-3e5e-4330-a03d-3920c4b106e7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bbe4d273-3e5e-4330-a03d-3920c4b106e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76ccf111-2c52-4c05-8bf3-325a29637954' class='xr-var-data-in' type='checkbox'><label for='data-76ccf111-2c52-4c05-8bf3-325a29637954' 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([cftime.DatetimeJulian(181, 1, 1, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(181, 1, 2, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(181, 1, 3, 12, 0, 0, 0, has_year_zero=False), ...,\n",
       "       cftime.DatetimeJulian(200, 12, 29, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(200, 12, 30, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(200, 12, 31, 12, 0, 0, 0, has_year_zero=False)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xt_ocean</span></div><div class='xr-var-dims'>(xt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-279.9 -279.8 ... 79.85 79.95</div><input id='attrs-486f4417-6602-4b78-9fca-2fdf69945cc5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-486f4417-6602-4b78-9fca-2fdf69945cc5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa28fc3e-06f0-43e8-a039-80d5d4133cc6' class='xr-var-data-in' type='checkbox'><label for='data-fa28fc3e-06f0-43e8-a039-80d5d4133cc6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cartesian_axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>tcell longitude</dd><dt><span>units :</span></dt><dd>degrees_E</dd></dl></div><div class='xr-var-data'><pre>array([-279.95, -279.85, -279.75, ...,   79.75,   79.85,   79.95])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yt_ocean</span></div><div class='xr-var-dims'>(yt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-81.11 -81.07 ... 89.94 89.98</div><input id='attrs-a36d1598-07fe-4229-b389-e49e26e3566e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a36d1598-07fe-4229-b389-e49e26e3566e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85cd8309-176b-46b7-9d87-401df4d101e4' class='xr-var-data-in' type='checkbox'><label for='data-85cd8309-176b-46b7-9d87-401df4d101e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cartesian_axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>tcell latitude</dd><dt><span>units :</span></dt><dd>degrees_N</dd></dl></div><div class='xr-var-data'><pre>array([-81.108632, -81.066392, -81.024153, ...,  89.894417,  89.936657,\n",
       "        89.978896])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-568ab994-399b-4bd8-821e-8963ddcc94c9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-568ab994-399b-4bd8-821e-8963ddcc94c9' class='xr-section-summary' >Data variables: <span>(11)</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>slp</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-ad4a4dd3-6225-4c30-8221-1e29881a1ccc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ad4a4dd3-6225-4c30-8221-1e29881a1ccc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00ae53b0-eb82-46bc-8b65-696b4e9ae15e' class='xr-var-data-in' type='checkbox'><label for='data-00ae53b0-eb82-46bc-8b65-696b4e9ae15e' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 264.51 GiB </td>\n",
       "                        <td> 111.24 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (7305, 2700, 3600) </td>\n",
       "                        <td> (3, 2700, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2435 chunks in 19 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_ref</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-5970baa5-660c-4794-b452-5fc74e6722c2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5970baa5-660c-4794-b452-5fc74e6722c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6c1144b-c9fb-468d-ae01-84d10cb4d449' class='xr-var-data-in' type='checkbox'><label for='data-c6c1144b-c9fb-468d-ae01-84d10cb4d449' 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'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                        <td> 264.51 GiB </td>\n",
       "                        <td> 111.24 MiB </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_relative</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-333a20aa-b35e-4518-903a-4d69d850fded' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-333a20aa-b35e-4518-903a-4d69d850fded' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6b8603b-ff2a-4fd4-964f-0cf3acdcb5c0' class='xr-var-data-in' type='checkbox'><label for='data-c6b8603b-ff2a-4fd4-964f-0cf3acdcb5c0' 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'><table>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 264.51 GiB </td>\n",
       "                        <td> 111.24 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (7305, 2700, 3600) </td>\n",
       "                        <td> (3, 2700, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2435 chunks in 37 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-27b2c588-53f9-4924-b6ab-e5514bb99de4' class='xr-section-summary-in' type='checkbox'  ><label for='section-27b2c588-53f9-4924-b6ab-e5514bb99de4' class='xr-section-summary' >Indexes: <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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-389b74ab-6e9f-43c1-a0ff-459482838d3a' class='xr-index-data-in' type='checkbox'/><label for='index-389b74ab-6e9f-43c1-a0ff-459482838d3a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([0181-01-01 12:00:00, 0181-01-02 12:00:00, 0181-01-03 12:00:00,\n",
       "             0181-01-04 12:00:00, 0181-01-05 12:00:00, 0181-01-06 12:00:00,\n",
       "             0181-01-07 12:00:00, 0181-01-08 12:00:00, 0181-01-09 12:00:00,\n",
       "             0181-01-10 12:00:00,\n",
       "             ...\n",
       "             0200-12-22 12:00:00, 0200-12-23 12:00:00, 0200-12-24 12:00:00,\n",
       "             0200-12-25 12:00:00, 0200-12-26 12:00:00, 0200-12-27 12:00:00,\n",
       "             0200-12-28 12:00:00, 0200-12-29 12:00:00, 0200-12-30 12:00:00,\n",
       "             0200-12-31 12:00:00],\n",
       "            dtype=&#x27;object&#x27;, length=7305, calendar=&#x27;julian&#x27;, freq=&#x27;D&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>xt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-657ad870-7e8c-495d-88f8-29a244420510' class='xr-index-data-in' type='checkbox'/><label for='index-657ad870-7e8c-495d-88f8-29a244420510' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([            -279.95, -279.84999999999997, -279.74999999999994,\n",
       "        -279.6499999999999,  -279.5499999999999,  -279.4499999999999,\n",
       "       -279.34999999999985, -279.24999999999983,  -279.1499999999998,\n",
       "        -279.0499999999998,\n",
       "       ...\n",
       "         79.04999999999492,   79.14999999999495,   79.24999999999491,\n",
       "         79.34999999999494,    79.4499999999949,   79.54999999999492,\n",
       "         79.64999999999489,   79.74999999999491,   79.84999999999488,\n",
       "          79.9499999999949],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;xt_ocean&#x27;, length=3600))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>yt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8e8cba22-e260-47df-aeae-2cea68b5c6ba' class='xr-index-data-in' type='checkbox'/><label for='index-8e8cba22-e260-47df-aeae-2cea68b5c6ba' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-81.10863167835483, -81.06639232397434, -81.02415296959386,\n",
       "       -80.98191361521337, -80.93967426083289,  -80.8974349064524,\n",
       "       -80.85519555207192, -80.81295619769143, -80.77071684331095,\n",
       "       -80.72847748893047,\n",
       "       ...\n",
       "        89.59874190883218,   89.6409812632127,   89.6832206175932,\n",
       "        89.72545997197363,  89.76769932635409,  89.80993868073463,\n",
       "        89.85217803511516,  89.89441738949557,    89.936656743876,\n",
       "        89.97889609825653],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;yt_ocean&#x27;, length=2700))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-26937095-6078-432d-8d27-f647ce44be04' class='xr-section-summary-in' type='checkbox'  checked><label for='section-26937095-6078-432d-8d27-f647ce44be04' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>regrid_method :</span></dt><dd>bilinear</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 3TB\n",
       "Dimensions:       (time: 7305, yt_ocean: 2700, xt_ocean: 3600)\n",
       "Coordinates:\n",
       "  * time          (time) object 58kB 0181-01-01 12:00:00 ... 0200-12-31 12:00:00\n",
       "  * xt_ocean      (xt_ocean) float64 29kB -279.9 -279.8 -279.7 ... 79.85 79.95\n",
       "  * yt_ocean      (yt_ocean) float64 22kB -81.11 -81.07 -81.02 ... 89.94 89.98\n",
       "Data variables:\n",
       "    slp           (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    v_ref         (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    u_ref         (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    t_ref         (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    q_ref         (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    wind          (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    surface_temp  (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    u_ocean       (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    v_ocean       (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    u_relative    (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    v_relative    (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "Attributes:\n",
       "    regrid_method:  bilinear"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_in = ds_merged\n",
    "ds_in = ds_in.drop(['area_t', 'dxt', 'dyt', 'geolat_t', 'geolon_t', 'ht', 'kmt', 'wet'])\n",
    "ds_in"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "05aad8da-223e-485e-a9b2-9cf3c477e86b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Filtering model\n"
     ]
    },
    {
     "data": {
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       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
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       "\n",
       ".xr-dim-list:before {\n",
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       "\n",
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       ".xr-var-dims:hover,\n",
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       ".xr-attrs dt:hover {\n",
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       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
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       "\n",
       ".xr-var-data > table {\n",
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       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
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       "\n",
       ".xr-attrs,\n",
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       "\n",
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       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
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       "\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",
       ".xr-no-icon {\n",
       "  display: inline-block;\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; Size: 3TB\n",
       "Dimensions:       (time: 7305, xt_ocean: 3600, yt_ocean: 2700)\n",
       "Coordinates:\n",
       "  * time          (time) object 58kB 0181-01-01 12:00:00 ... 0200-12-31 12:00:00\n",
       "  * xt_ocean      (xt_ocean) float64 29kB -279.9 -279.8 -279.7 ... 79.85 79.95\n",
       "  * yt_ocean      (yt_ocean) float64 22kB -81.11 -81.07 -81.02 ... 89.94 89.98\n",
       "Data variables:\n",
       "    slp           (time, yt_ocean, xt_ocean) float32 284GB dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "    v_ref         (time, yt_ocean, xt_ocean) float32 284GB dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "    u_ref         (time, yt_ocean, xt_ocean) float32 284GB dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "    t_ref         (time, yt_ocean, xt_ocean) float32 284GB dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "    q_ref         (time, yt_ocean, xt_ocean) float32 284GB dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "    wind          (time, yt_ocean, xt_ocean) float32 284GB dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "    surface_temp  (time, yt_ocean, xt_ocean) float32 284GB dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "    u_ocean       (time, yt_ocean, xt_ocean) float32 284GB dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "    v_ocean       (time, yt_ocean, xt_ocean) float32 284GB dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "    u_relative    (time, yt_ocean, xt_ocean) float32 284GB dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "    v_relative    (time, yt_ocean, xt_ocean) float32 284GB dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    filter_scale:  50\n",
       "    filter_type:   gaussian</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b57438ee-cffb-4bb2-a86d-cdfed06654e3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b57438ee-cffb-4bb2-a86d-cdfed06654e3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 7305</li><li><span class='xr-has-index'>xt_ocean</span>: 3600</li><li><span class='xr-has-index'>yt_ocean</span>: 2700</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ee929c44-42bd-471b-8f4a-0b2ad8c4fd86' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ee929c44-42bd-471b-8f4a-0b2ad8c4fd86' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>0181-01-01 12:00:00 ... 0200-12-...</div><input id='attrs-9987fbd7-a782-4092-89b4-9d01375f80d5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9987fbd7-a782-4092-89b4-9d01375f80d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0ee1acc-0228-4874-a265-dc0e37f3dc22' class='xr-var-data-in' type='checkbox'><label for='data-d0ee1acc-0228-4874-a265-dc0e37f3dc22' 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([cftime.DatetimeJulian(181, 1, 1, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(181, 1, 2, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(181, 1, 3, 12, 0, 0, 0, has_year_zero=False), ...,\n",
       "       cftime.DatetimeJulian(200, 12, 29, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(200, 12, 30, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(200, 12, 31, 12, 0, 0, 0, has_year_zero=False)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xt_ocean</span></div><div class='xr-var-dims'>(xt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-279.9 -279.8 ... 79.85 79.95</div><input id='attrs-fc19f217-cd4d-47eb-84d3-6c7aa44748e0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fc19f217-cd4d-47eb-84d3-6c7aa44748e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dca74819-d77f-41a7-b1fa-6d63484164a8' class='xr-var-data-in' type='checkbox'><label for='data-dca74819-d77f-41a7-b1fa-6d63484164a8' 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([-279.95, -279.85, -279.75, ...,   79.75,   79.85,   79.95])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yt_ocean</span></div><div class='xr-var-dims'>(yt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-81.11 -81.07 ... 89.94 89.98</div><input id='attrs-bf341aa2-41ef-4586-bd56-2c475ccec30c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bf341aa2-41ef-4586-bd56-2c475ccec30c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf9d8cbc-7080-4678-aff5-849b939ef48a' class='xr-var-data-in' type='checkbox'><label for='data-cf9d8cbc-7080-4678-aff5-849b939ef48a' 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([-81.108632, -81.066392, -81.024153, ...,  89.894417,  89.936657,\n",
       "        89.978896])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-613f6ef7-9c1f-40f7-aa61-1e3b7a446bc2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-613f6ef7-9c1f-40f7-aa61-1e3b7a446bc2' class='xr-section-summary' >Data variables: <span>(11)</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>slp</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-3357564a-f432-4777-8574-3f87d00a8195' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3357564a-f432-4777-8574-3f87d00a8195' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c56f58ad-1244-43cd-b412-b26cba78cbe4' class='xr-var-data-in' type='checkbox'><label for='data-c56f58ad-1244-43cd-b412-b26cba78cbe4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>filter_scale :</span></dt><dd>50</dd><dt><span>filter_type :</span></dt><dd>gaussian</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 264.51 GiB </td>\n",
       "                        <td> 111.24 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (7305, 2700, 3600) </td>\n",
       "                        <td> (3, 2700, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2435 chunks in 152 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_ref</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-1048b166-7bcf-4350-9181-05ce663d695e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1048b166-7bcf-4350-9181-05ce663d695e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e5a3c37-ec57-4656-a40d-4d2e5a1a12e3' class='xr-var-data-in' type='checkbox'><label for='data-0e5a3c37-ec57-4656-a40d-4d2e5a1a12e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>filter_scale :</span></dt><dd>50</dd><dt><span>filter_type :</span></dt><dd>gaussian</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 264.51 GiB </td>\n",
       "                        <td> 111.24 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (7305, 2700, 3600) </td>\n",
       "                        <td> (3, 2700, 3600) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2435 chunks in 152 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_ref</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-142fd4a2-9d8e-4c96-b021-091ca8402033' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-142fd4a2-9d8e-4c96-b021-091ca8402033' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-974865e5-6627-43a8-8a5d-ce29aca6a1e9' class='xr-var-data-in' type='checkbox'><label for='data-974865e5-6627-43a8-8a5d-ce29aca6a1e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>filter_scale :</span></dt><dd>50</dd><dt><span>filter_type :</span></dt><dd>gaussian</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 264.51 GiB </td>\n",
       "                        <td> 111.24 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (7305, 2700, 3600) </td>\n",
       "                        <td> (3, 2700, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2435 chunks in 152 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_ref</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-4a38d2ee-f8e4-4e91-aa27-3f1b72f7e647' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a38d2ee-f8e4-4e91-aa27-3f1b72f7e647' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-406824c3-88d8-4c92-8e43-850067c09c6a' class='xr-var-data-in' type='checkbox'><label for='data-406824c3-88d8-4c92-8e43-850067c09c6a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>filter_scale :</span></dt><dd>50</dd><dt><span>filter_type :</span></dt><dd>gaussian</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 264.51 GiB </td>\n",
       "                        <td> 111.24 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (7305, 2700, 3600) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>q_ref</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-9ad4b0b7-5d28-4d08-a84c-65d9aba7b573' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ad4b0b7-5d28-4d08-a84c-65d9aba7b573' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9237b9e-bd40-43ce-bfd0-9ba2f62f3a5d' class='xr-var-data-in' type='checkbox'><label for='data-d9237b9e-bd40-43ce-bfd0-9ba2f62f3a5d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>filter_scale :</span></dt><dd>50</dd><dt><span>filter_type :</span></dt><dd>gaussian</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                    <tr>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 264.51 GiB </td>\n",
       "                        <td> 111.24 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-c3ea2e25-835d-4346-a8f0-c5d8915b2f16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3ea2e25-835d-4346-a8f0-c5d8915b2f16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d5d52c5-e9d1-40f5-92b6-7a3306440e90' class='xr-var-data-in' type='checkbox'><label for='data-4d5d52c5-e9d1-40f5-92b6-7a3306440e90' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>filter_scale :</span></dt><dd>50</dd><dt><span>filter_type :</span></dt><dd>gaussian</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 264.51 GiB </td>\n",
       "                        <td> 111.24 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (7305, 2700, 3600) </td>\n",
       "                        <td> (3, 2700, 3600) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_temp</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-7d5d8dba-48fd-4193-a3a9-e77923f074ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d5d8dba-48fd-4193-a3a9-e77923f074ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4405f2f-fb7a-43b5-a22a-c44af4dd1a96' class='xr-var-data-in' type='checkbox'><label for='data-a4405f2f-fb7a-43b5-a22a-c44af4dd1a96' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>filter_scale :</span></dt><dd>50</dd><dt><span>filter_type :</span></dt><dd>gaussian</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 264.51 GiB </td>\n",
       "                        <td> 111.24 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (7305, 2700, 3600) </td>\n",
       "                        <td> (3, 2700, 3600) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_ocean</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-3a338257-3c61-45f3-91a7-79d94ce21403' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a338257-3c61-45f3-91a7-79d94ce21403' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db11bca9-0d63-4b29-a94d-d3461a7c49a3' class='xr-var-data-in' type='checkbox'><label for='data-db11bca9-0d63-4b29-a94d-d3461a7c49a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>filter_scale :</span></dt><dd>50</dd><dt><span>filter_type :</span></dt><dd>gaussian</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 264.51 GiB </td>\n",
       "                        <td> 111.24 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (7305, 2700, 3600) </td>\n",
       "                        <td> (3, 2700, 3600) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_ocean</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-d63e4f0f-3a2f-4438-bb25-8c65c34710c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d63e4f0f-3a2f-4438-bb25-8c65c34710c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97564c23-998c-420f-a78d-bf97eb41bc6d' class='xr-var-data-in' type='checkbox'><label for='data-97564c23-998c-420f-a78d-bf97eb41bc6d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>filter_scale :</span></dt><dd>50</dd><dt><span>filter_type :</span></dt><dd>gaussian</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 264.51 GiB </td>\n",
       "                        <td> 111.24 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (7305, 2700, 3600) </td>\n",
       "                        <td> (3, 2700, 3600) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2435 chunks in 152 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_relative</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-068e6a7b-1f43-4731-aa67-184fb3f59da9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-068e6a7b-1f43-4731-aa67-184fb3f59da9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e121d582-6880-4ce1-84ff-ff1e7aaed0f0' class='xr-var-data-in' type='checkbox'><label for='data-e121d582-6880-4ce1-84ff-ff1e7aaed0f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>filter_scale :</span></dt><dd>50</dd><dt><span>filter_type :</span></dt><dd>gaussian</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 264.51 GiB </td>\n",
       "                        <td> 111.24 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (7305, 2700, 3600) </td>\n",
       "                        <td> (3, 2700, 3600) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_relative</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-443a2c9b-8a62-4998-8d91-d28f8a1ca146' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-443a2c9b-8a62-4998-8d91-d28f8a1ca146' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1beee07-ee1d-4fe9-b8bb-4d61f09dcd25' class='xr-var-data-in' type='checkbox'><label for='data-d1beee07-ee1d-4fe9-b8bb-4d61f09dcd25' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>filter_scale :</span></dt><dd>50</dd><dt><span>filter_type :</span></dt><dd>gaussian</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 264.51 GiB </td>\n",
       "                        <td> 111.24 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (7305, 2700, 3600) </td>\n",
       "                        <td> (3, 2700, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2435 chunks in 152 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "             0181-01-04 12:00:00, 0181-01-05 12:00:00, 0181-01-06 12:00:00,\n",
       "             0181-01-07 12:00:00, 0181-01-08 12:00:00, 0181-01-09 12:00:00,\n",
       "             0181-01-10 12:00:00,\n",
       "             ...\n",
       "             0200-12-22 12:00:00, 0200-12-23 12:00:00, 0200-12-24 12:00:00,\n",
       "             0200-12-25 12:00:00, 0200-12-26 12:00:00, 0200-12-27 12:00:00,\n",
       "             0200-12-28 12:00:00, 0200-12-29 12:00:00, 0200-12-30 12:00:00,\n",
       "             0200-12-31 12:00:00],\n",
       "            dtype=&#x27;object&#x27;, length=7305, calendar=&#x27;julian&#x27;, freq=&#x27;D&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>xt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6d743c48-5024-475e-b7fa-0bb4fe575897' class='xr-index-data-in' type='checkbox'/><label for='index-6d743c48-5024-475e-b7fa-0bb4fe575897' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([            -279.95, -279.84999999999997, -279.74999999999994,\n",
       "        -279.6499999999999,  -279.5499999999999,  -279.4499999999999,\n",
       "       -279.34999999999985, -279.24999999999983,  -279.1499999999998,\n",
       "        -279.0499999999998,\n",
       "       ...\n",
       "         79.04999999999492,   79.14999999999495,   79.24999999999491,\n",
       "         79.34999999999494,    79.4499999999949,   79.54999999999492,\n",
       "         79.64999999999489,   79.74999999999491,   79.84999999999488,\n",
       "          79.9499999999949],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;xt_ocean&#x27;, length=3600))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>yt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-73923d85-eb70-40d8-b53e-7dfdd081ea28' class='xr-index-data-in' type='checkbox'/><label for='index-73923d85-eb70-40d8-b53e-7dfdd081ea28' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-81.10863167835483, -81.06639232397434, -81.02415296959386,\n",
       "       -80.98191361521337, -80.93967426083289,  -80.8974349064524,\n",
       "       -80.85519555207192, -80.81295619769143, -80.77071684331095,\n",
       "       -80.72847748893047,\n",
       "       ...\n",
       "        89.59874190883218,   89.6409812632127,   89.6832206175932,\n",
       "        89.72545997197363,  89.76769932635409,  89.80993868073463,\n",
       "        89.85217803511516,  89.89441738949557,    89.936656743876,\n",
       "        89.97889609825653],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;yt_ocean&#x27;, length=2700))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-93c5209a-db69-4c7f-adf9-8fed07a1e7a2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-93c5209a-db69-4c7f-adf9-8fed07a1e7a2' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>filter_scale :</span></dt><dd>50</dd><dt><span>filter_type :</span></dt><dd>gaussian</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 3TB\n",
       "Dimensions:       (time: 7305, xt_ocean: 3600, yt_ocean: 2700)\n",
       "Coordinates:\n",
       "  * time          (time) object 58kB 0181-01-01 12:00:00 ... 0200-12-31 12:00:00\n",
       "  * xt_ocean      (xt_ocean) float64 29kB -279.9 -279.8 -279.7 ... 79.85 79.95\n",
       "  * yt_ocean      (yt_ocean) float64 22kB -81.11 -81.07 -81.02 ... 89.94 89.98\n",
       "Data variables:\n",
       "    slp           (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    v_ref         (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    u_ref         (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    t_ref         (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    q_ref         (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    wind          (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    surface_temp  (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    u_ocean       (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    v_ocean       (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    u_relative    (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    v_relative    (time, yt_ocean, xt_ocean) float32 284GB dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "Attributes:\n",
       "    filter_scale:  50\n",
       "    filter_type:   gaussian"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"Filtering model\")\n",
    "ds_out = filter_inputs_dataset(ds_in, ['yt_ocean', 'xt_ocean'], filter_scale=50, filter_type='gaussian')\n",
    "ds_out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d8c5ee15-2cae-492b-8f72-edcef7c8f1c8",
   "metadata": {},
   "outputs": [
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       "  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-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\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",
       ".xr-index-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",
       ".xr-index-data-in:checked ~ .xr-index-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-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-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",
       ".xr-no-icon {\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; Size: 3GB\n",
       "Dimensions:       (time: 7305, xt_ocean: 100, yt_ocean: 100)\n",
       "Coordinates:\n",
       "  * time          (time) object 58kB 0181-01-01 12:00:00 ... 0200-12-31 12:00:00\n",
       "  * xt_ocean      (xt_ocean) float64 800B -130.0 -129.9 -129.8 ... -120.2 -120.1\n",
       "  * yt_ocean      (yt_ocean) float64 800B 24.74 24.83 24.92 ... 33.22 33.3 33.38\n",
       "Data variables:\n",
       "    slp           (time, yt_ocean, xt_ocean) float32 292MB dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;\n",
       "    v_ref         (time, yt_ocean, xt_ocean) float32 292MB dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;\n",
       "    u_ref         (time, yt_ocean, xt_ocean) float32 292MB dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;\n",
       "    t_ref         (time, yt_ocean, xt_ocean) float32 292MB dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;\n",
       "    q_ref         (time, yt_ocean, xt_ocean) float32 292MB dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;\n",
       "    wind          (time, yt_ocean, xt_ocean) float32 292MB dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;\n",
       "    surface_temp  (time, yt_ocean, xt_ocean) float32 292MB dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;\n",
       "    u_ocean       (time, yt_ocean, xt_ocean) float32 292MB dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;\n",
       "    v_ocean       (time, yt_ocean, xt_ocean) float32 292MB dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;\n",
       "    u_relative    (time, yt_ocean, xt_ocean) float32 292MB dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;\n",
       "    v_relative    (time, yt_ocean, xt_ocean) float32 292MB dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    filter_scale:  50\n",
       "    filter_type:   gaussian</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-fe869471-3cc6-42ff-be93-08d90a45244c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fe869471-3cc6-42ff-be93-08d90a45244c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 7305</li><li><span class='xr-has-index'>xt_ocean</span>: 100</li><li><span class='xr-has-index'>yt_ocean</span>: 100</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-52a08643-7063-4d5c-87c0-4a839c023e45' class='xr-section-summary-in' type='checkbox'  checked><label for='section-52a08643-7063-4d5c-87c0-4a839c023e45' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>0181-01-01 12:00:00 ... 0200-12-...</div><input id='attrs-f40d5523-89b4-4504-a33a-ee47f38a702a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f40d5523-89b4-4504-a33a-ee47f38a702a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4ad34ce-6c41-4cf5-a469-f634e68253f3' class='xr-var-data-in' type='checkbox'><label for='data-b4ad34ce-6c41-4cf5-a469-f634e68253f3' 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([cftime.DatetimeJulian(181, 1, 1, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(181, 1, 2, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(181, 1, 3, 12, 0, 0, 0, has_year_zero=False), ...,\n",
       "       cftime.DatetimeJulian(200, 12, 29, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(200, 12, 30, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(200, 12, 31, 12, 0, 0, 0, has_year_zero=False)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xt_ocean</span></div><div class='xr-var-dims'>(xt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-130.0 -129.9 ... -120.2 -120.1</div><input id='attrs-99f95925-19d1-4dec-8249-f14aaf640d43' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-99f95925-19d1-4dec-8249-f14aaf640d43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b258feb-f6c3-4509-90ab-9c28ff64aa1b' class='xr-var-data-in' type='checkbox'><label for='data-3b258feb-f6c3-4509-90ab-9c28ff64aa1b' 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([-129.95, -129.85, -129.75, -129.65, -129.55, -129.45, -129.35, -129.25,\n",
       "       -129.15, -129.05, -128.95, -128.85, -128.75, -128.65, -128.55, -128.45,\n",
       "       -128.35, -128.25, -128.15, -128.05, -127.95, -127.85, -127.75, -127.65,\n",
       "       -127.55, -127.45, -127.35, -127.25, -127.15, -127.05, -126.95, -126.85,\n",
       "       -126.75, -126.65, -126.55, -126.45, -126.35, -126.25, -126.15, -126.05,\n",
       "       -125.95, -125.85, -125.75, -125.65, -125.55, -125.45, -125.35, -125.25,\n",
       "       -125.15, -125.05, -124.95, -124.85, -124.75, -124.65, -124.55, -124.45,\n",
       "       -124.35, -124.25, -124.15, -124.05, -123.95, -123.85, -123.75, -123.65,\n",
       "       -123.55, -123.45, -123.35, -123.25, -123.15, -123.05, -122.95, -122.85,\n",
       "       -122.75, -122.65, -122.55, -122.45, -122.35, -122.25, -122.15, -122.05,\n",
       "       -121.95, -121.85, -121.75, -121.65, -121.55, -121.45, -121.35, -121.25,\n",
       "       -121.15, -121.05, -120.95, -120.85, -120.75, -120.65, -120.55, -120.45,\n",
       "       -120.35, -120.25, -120.15, -120.05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yt_ocean</span></div><div class='xr-var-dims'>(yt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>24.74 24.83 24.92 ... 33.3 33.38</div><input id='attrs-efb921ba-5381-4837-bcd6-2d8ed5c98de0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-efb921ba-5381-4837-bcd6-2d8ed5c98de0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0736041f-d878-4512-bb14-79f7770edfed' class='xr-var-data-in' type='checkbox'><label for='data-0736041f-d878-4512-bb14-79f7770edfed' 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([24.743028, 24.833814, 24.924534, 25.015187, 25.105773, 25.196292,\n",
       "       25.286744, 25.377128, 25.467445, 25.557694, 25.647876, 25.737989,\n",
       "       25.828033, 25.91801 , 26.007918, 26.097756, 26.187526, 26.277227,\n",
       "       26.366859, 26.456421, 26.545914, 26.635336, 26.724689, 26.813972,\n",
       "       26.903184, 26.992326, 27.081398, 27.170399, 27.259328, 27.348187,\n",
       "       27.436975, 27.525691, 27.614335, 27.702908, 27.791409, 27.879838,\n",
       "       27.968195, 28.05648 , 28.144692, 28.232832, 28.320899, 28.408893,\n",
       "       28.496814, 28.584661, 28.672436, 28.760137, 28.847764, 28.935318,\n",
       "       29.022798, 29.110203, 29.197535, 29.284792, 29.371975, 29.459083,\n",
       "       29.546116, 29.633074, 29.719958, 29.806766, 29.893499, 29.980157,\n",
       "       30.066739, 30.153245, 30.239676, 30.326031, 30.412309, 30.498512,\n",
       "       30.584638, 30.670687, 30.75666 , 30.842557, 30.928376, 31.014119,\n",
       "       31.099784, 31.185373, 31.270884, 31.356317, 31.441673, 31.526951,\n",
       "       31.612152, 31.697275, 31.782319, 31.867286, 31.952174, 32.036984,\n",
       "       32.121715, 32.206368, 32.290942, 32.375437, 32.459853, 32.544191,\n",
       "       32.628449, 32.712627, 32.796727, 32.880747, 32.964687, 33.048548,\n",
       "       33.132329, 33.21603 , 33.299651, 33.383192])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6ce3a320-c7c7-483a-ac31-2c89c52c1ef1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6ce3a320-c7c7-483a-ac31-2c89c52c1ef1' class='xr-section-summary' >Data variables: <span>(11)</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>slp</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;</div><input id='attrs-1750e531-a0a0-4fbc-aad0-cde695b3d00a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1750e531-a0a0-4fbc-aad0-cde695b3d00a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd8188de-bb19-49ed-8f2d-9502a0594d86' class='xr-var-data-in' type='checkbox'><label for='data-bd8188de-bb19-49ed-8f2d-9502a0594d86' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>filter_scale :</span></dt><dd>50</dd><dt><span>filter_type :</span></dt><dd>gaussian</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 278.66 MiB </td>\n",
       "                        <td> 117.19 kiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <th> Dask graph </th>\n",
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       "        <td>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 278.66 MiB </td>\n",
       "                        <td> 117.19 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 278.66 MiB </td>\n",
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       "                    <tr>\n",
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       "        <td>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 278.66 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>q_ref</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;</div><input id='attrs-98fc35f7-6afa-43f5-bc7e-94ae34d30dc4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98fc35f7-6afa-43f5-bc7e-94ae34d30dc4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53066081-b999-44e0-8acf-83ce7919171b' class='xr-var-data-in' type='checkbox'><label for='data-53066081-b999-44e0-8acf-83ce7919171b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>filter_scale :</span></dt><dd>50</dd><dt><span>filter_type :</span></dt><dd>gaussian</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 278.66 MiB </td>\n",
       "                        <td> 117.19 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (7305, 100, 100) </td>\n",
       "                        <td> (3, 100, 100) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;</div><input id='attrs-739bf86c-349b-45d7-8e99-14bd63fc75fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-739bf86c-349b-45d7-8e99-14bd63fc75fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b49518bc-8bd4-4bcd-812b-f5f7b371c374' class='xr-var-data-in' type='checkbox'><label for='data-b49518bc-8bd4-4bcd-812b-f5f7b371c374' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>filter_scale :</span></dt><dd>50</dd><dt><span>filter_type :</span></dt><dd>gaussian</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 278.66 MiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 278.66 MiB </td>\n",
       "                        <td> 117.19 kiB </td>\n",
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       "    <tr>\n",
       "        <td>\n",
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       "                    <tr>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 278.66 MiB </td>\n",
       "                        <td> 117.19 kiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <th> Data type </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                        <td> 278.66 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_relative</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;</div><input id='attrs-4f195dbc-bc61-4ab6-8748-d59629fef59d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f195dbc-bc61-4ab6-8748-d59629fef59d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-919c99ec-cbca-40ac-9ebc-d6493dec6b06' class='xr-var-data-in' type='checkbox'><label for='data-919c99ec-cbca-40ac-9ebc-d6493dec6b06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>filter_scale :</span></dt><dd>50</dd><dt><span>filter_type :</span></dt><dd>gaussian</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                    <tr>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 278.66 MiB </td>\n",
       "                        <td> 117.19 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_relative</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;</div><input id='attrs-a03b5ac2-1e6f-4b46-bdd4-2a09c5b70047' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a03b5ac2-1e6f-4b46-bdd4-2a09c5b70047' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e64a366f-c8ca-4585-985b-c475308955eb' class='xr-var-data-in' type='checkbox'><label for='data-e64a366f-c8ca-4585-985b-c475308955eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>filter_scale :</span></dt><dd>50</dd><dt><span>filter_type :</span></dt><dd>gaussian</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Array </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 278.66 MiB </td>\n",
       "                        <td> 117.19 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-d023c67e-0354-40cd-a04f-d6d68d3396ab' class='xr-section-summary-in' type='checkbox'  ><label for='section-d023c67e-0354-40cd-a04f-d6d68d3396ab' class='xr-section-summary' >Indexes: <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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0795cbe1-e3b5-4436-a4ce-45dca6cbabc1' class='xr-index-data-in' type='checkbox'/><label for='index-0795cbe1-e3b5-4436-a4ce-45dca6cbabc1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([0181-01-01 12:00:00, 0181-01-02 12:00:00, 0181-01-03 12:00:00,\n",
       "             0181-01-04 12:00:00, 0181-01-05 12:00:00, 0181-01-06 12:00:00,\n",
       "             0181-01-07 12:00:00, 0181-01-08 12:00:00, 0181-01-09 12:00:00,\n",
       "             0181-01-10 12:00:00,\n",
       "             ...\n",
       "             0200-12-22 12:00:00, 0200-12-23 12:00:00, 0200-12-24 12:00:00,\n",
       "             0200-12-25 12:00:00, 0200-12-26 12:00:00, 0200-12-27 12:00:00,\n",
       "             0200-12-28 12:00:00, 0200-12-29 12:00:00, 0200-12-30 12:00:00,\n",
       "             0200-12-31 12:00:00],\n",
       "            dtype=&#x27;object&#x27;, length=7305, calendar=&#x27;julian&#x27;, freq=&#x27;D&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>xt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-116aa312-ad9b-4956-a217-3b7c68d57eeb' class='xr-index-data-in' type='checkbox'/><label for='index-116aa312-ad9b-4956-a217-3b7c68d57eeb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-129.95000000000175, -129.85000000000173, -129.75000000000176,\n",
       "       -129.65000000000174, -129.55000000000177, -129.45000000000175,\n",
       "       -129.35000000000178, -129.25000000000176,  -129.1500000000018,\n",
       "       -129.05000000000177,  -128.9500000000018, -128.85000000000178,\n",
       "       -128.75000000000182,  -128.6500000000018, -128.55000000000183,\n",
       "        -128.4500000000018, -128.35000000000184, -128.25000000000182,\n",
       "       -128.15000000000185, -128.05000000000183, -127.95000000000186,\n",
       "       -127.85000000000184, -127.75000000000188, -127.65000000000185,\n",
       "       -127.55000000000189, -127.45000000000186,  -127.3500000000019,\n",
       "       -127.25000000000188, -127.15000000000191, -127.05000000000189,\n",
       "       -126.95000000000192,  -126.8500000000019, -126.75000000000193,\n",
       "       -126.65000000000191, -126.55000000000194, -126.45000000000192,\n",
       "       -126.35000000000196, -126.25000000000193, -126.15000000000197,\n",
       "       -126.05000000000194, -125.95000000000198, -125.85000000000196,\n",
       "       -125.75000000000199, -125.65000000000197,   -125.550000000002,\n",
       "       -125.45000000000198, -125.35000000000201, -125.25000000000199,\n",
       "       -125.15000000000202,   -125.050000000002, -124.95000000000203,\n",
       "       -124.85000000000201, -124.75000000000205, -124.65000000000202,\n",
       "       -124.55000000000206, -124.45000000000203, -124.35000000000207,\n",
       "       -124.25000000000205, -124.15000000000208, -124.05000000000206,\n",
       "       -123.95000000000209, -123.85000000000207,  -123.7500000000021,\n",
       "       -123.65000000000208, -123.55000000000211, -123.45000000000209,\n",
       "       -123.35000000000213,  -123.2500000000021, -123.15000000000214,\n",
       "       -123.05000000000211, -122.95000000000215, -122.85000000000213,\n",
       "       -122.75000000000216, -122.65000000000214, -122.55000000000217,\n",
       "       -122.45000000000215, -122.35000000000218, -122.25000000000216,\n",
       "        -122.1500000000022, -122.05000000000217,  -121.9500000000022,\n",
       "       -121.85000000000218, -121.75000000000222,  -121.6500000000022,\n",
       "       -121.55000000000223,  -121.4500000000022, -121.35000000000224,\n",
       "       -121.25000000000222, -121.15000000000225, -121.05000000000223,\n",
       "       -120.95000000000226, -120.85000000000224, -120.75000000000227,\n",
       "       -120.65000000000225, -120.55000000000229, -120.45000000000226,\n",
       "        -120.3500000000023, -120.25000000000227, -120.15000000000231,\n",
       "       -120.05000000000229],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;xt_ocean&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>yt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a5dd9a18-123c-4d81-8ac2-7fbf00cd824f' class='xr-index-data-in' type='checkbox'/><label for='index-a5dd9a18-123c-4d81-8ac2-7fbf00cd824f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([24.743028005786304, 24.833814202883772, 24.924533960340074,\n",
       "       25.015186931740978, 25.105773107375004,  25.19629214217983,\n",
       "        25.28674402829334, 25.377128422005594, 25.467445317308336,\n",
       "       25.557694371844295, 25.647875581463406, 25.737988605161227,\n",
       "       25.828033440650042, 25.918009748278212, 26.007917527624393,\n",
       "       26.097756440389567,  26.18752648802262, 26.277227333576807,\n",
       "       26.366858980374957,  26.45642109282209, 26.545913676118523,\n",
       "       26.635336396020385,  26.72468925960888, 26.813971933990416,\n",
       "       26.903184428130338, 26.992326410484353,  27.08139789190504,\n",
       "       27.170398542196274, 27.259328374100818, 27.348187058769412,\n",
       "       27.436974610837808, 27.525690702802166, 27.614335351193873,\n",
       "        27.70290822985291,  27.79140935720881,  27.87983840844362,\n",
       "       27.968195403887382,   28.0564800200623, 28.144692279201134,\n",
       "         28.2328318591642, 28.320898784089056, 28.408892733171918,\n",
       "        28.49681373245707,  28.58466146247428, 28.672435951176354,\n",
       "       28.760136880424106, 28.847764280080515, 28.935317833334803,\n",
       "       29.022797571961636, 29.110203180475846, 29.197534692565167,\n",
       "        29.28479179406711,  29.37197452058372,  29.45908255927211,\n",
       "        29.54611594764974,  29.63307437419011, 29.719957878327065,\n",
       "       29.806766149847146, 29.893499230101426,  29.98015681018598,\n",
       "       30.066738933369823, 30.153245292054937,  30.23967593142886,\n",
       "        30.32603054519571, 30.412309180462007,   30.4985115322301,\n",
       "        30.58463764952582,  30.67068722864571,  30.75666032053511,\n",
       "       30.842556622780595,  30.92837618824709, 31.014118715806898,\n",
       "        31.09978426024449,  31.18537252171347, 31.270883556917696,\n",
       "       31.356317067287502, 31.441673111445844,  31.52695139209512,\n",
       "       31.612151969776978,  31.69727454846106,  31.78231919060719,\n",
       "       31.867285601447325, 31.952173845358825,   32.0369836288309,\n",
       "        32.12171501815771,  32.20636772108053,  32.29094180580946,\n",
       "       32.375436981332555,  32.45985331777485, 32.544190525365785,\n",
       "        32.62844867614426,  32.71262748157553,  32.79672701561119,\n",
       "       32.880746990946676, 32.964687483444955,  33.04854820702588,\n",
       "         33.1323292394624,   33.2160302958929,  33.29965145599879,\n",
       "        33.38319243613102],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;yt_ocean&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e083228b-58e1-40d8-9158-144be16eb483' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e083228b-58e1-40d8-9158-144be16eb483' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>filter_scale :</span></dt><dd>50</dd><dt><span>filter_type :</span></dt><dd>gaussian</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 3GB\n",
       "Dimensions:       (time: 7305, xt_ocean: 100, yt_ocean: 100)\n",
       "Coordinates:\n",
       "  * time          (time) object 58kB 0181-01-01 12:00:00 ... 0200-12-31 12:00:00\n",
       "  * xt_ocean      (xt_ocean) float64 800B -130.0 -129.9 -129.8 ... -120.2 -120.1\n",
       "  * yt_ocean      (yt_ocean) float64 800B 24.74 24.83 24.92 ... 33.22 33.3 33.38\n",
       "Data variables:\n",
       "    slp           (time, yt_ocean, xt_ocean) float32 292MB dask.array<chunksize=(3, 100, 100), meta=np.ndarray>\n",
       "    v_ref         (time, yt_ocean, xt_ocean) float32 292MB dask.array<chunksize=(3, 100, 100), meta=np.ndarray>\n",
       "    u_ref         (time, yt_ocean, xt_ocean) float32 292MB dask.array<chunksize=(3, 100, 100), meta=np.ndarray>\n",
       "    t_ref         (time, yt_ocean, xt_ocean) float32 292MB dask.array<chunksize=(3, 100, 100), meta=np.ndarray>\n",
       "    q_ref         (time, yt_ocean, xt_ocean) float32 292MB dask.array<chunksize=(3, 100, 100), meta=np.ndarray>\n",
       "    wind          (time, yt_ocean, xt_ocean) float32 292MB dask.array<chunksize=(3, 100, 100), meta=np.ndarray>\n",
       "    surface_temp  (time, yt_ocean, xt_ocean) float32 292MB dask.array<chunksize=(3, 100, 100), meta=np.ndarray>\n",
       "    u_ocean       (time, yt_ocean, xt_ocean) float32 292MB dask.array<chunksize=(3, 100, 100), meta=np.ndarray>\n",
       "    v_ocean       (time, yt_ocean, xt_ocean) float32 292MB dask.array<chunksize=(3, 100, 100), meta=np.ndarray>\n",
       "    u_relative    (time, yt_ocean, xt_ocean) float32 292MB dask.array<chunksize=(3, 100, 100), meta=np.ndarray>\n",
       "    v_relative    (time, yt_ocean, xt_ocean) float32 292MB dask.array<chunksize=(3, 100, 100), meta=np.ndarray>\n",
       "Attributes:\n",
       "    filter_scale:  50\n",
       "    filter_type:   gaussian"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_lowRes = ds_out.isel(xt_ocean=slice(1500,1600), yt_ocean=slice(1500,1600))\n",
    "ds_lowRes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1a0d7e99-c2ab-4392-8f71-36f0eef138be",
   "metadata": {},
   "outputs": [
    {
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       ".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-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\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",
       ".xr-index-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",
       ".xr-index-data-in:checked ~ .xr-index-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-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-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",
       ".xr-no-icon {\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; Size: 161MB\n",
       "Dimensions:       (time: 365, xt_ocean: 100, yt_ocean: 100)\n",
       "Coordinates:\n",
       "  * time          (time) object 3kB 0181-01-01 12:00:00 ... 0181-12-31 12:00:00\n",
       "  * xt_ocean      (xt_ocean) float64 800B -130.0 -129.9 -129.8 ... -120.2 -120.1\n",
       "  * yt_ocean      (yt_ocean) float64 800B 24.74 24.83 24.92 ... 33.22 33.3 33.38\n",
       "Data variables:\n",
       "    slp           (time, yt_ocean, xt_ocean) float32 15MB dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;\n",
       "    v_ref         (time, yt_ocean, xt_ocean) float32 15MB dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;\n",
       "    u_ref         (time, yt_ocean, xt_ocean) float32 15MB dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;\n",
       "    t_ref         (time, yt_ocean, xt_ocean) float32 15MB dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;\n",
       "    q_ref         (time, yt_ocean, xt_ocean) float32 15MB dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;\n",
       "    wind          (time, yt_ocean, xt_ocean) float32 15MB dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;\n",
       "    surface_temp  (time, yt_ocean, xt_ocean) float32 15MB dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;\n",
       "    u_ocean       (time, yt_ocean, xt_ocean) float32 15MB dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;\n",
       "    v_ocean       (time, yt_ocean, xt_ocean) float32 15MB dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;\n",
       "    u_relative    (time, yt_ocean, xt_ocean) float32 15MB dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;\n",
       "    v_relative    (time, yt_ocean, xt_ocean) float32 15MB dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    filter_scale:  50\n",
       "    filter_type:   gaussian</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7dc7401e-bc9a-4aff-932c-aa5e8e764d3c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7dc7401e-bc9a-4aff-932c-aa5e8e764d3c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 365</li><li><span class='xr-has-index'>xt_ocean</span>: 100</li><li><span class='xr-has-index'>yt_ocean</span>: 100</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ae27dd6a-ca30-4e04-a735-2cc55021ea8e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ae27dd6a-ca30-4e04-a735-2cc55021ea8e' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>0181-01-01 12:00:00 ... 0181-12-...</div><input id='attrs-ffb3746e-fc4b-4f81-abf6-e5a603031abc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ffb3746e-fc4b-4f81-abf6-e5a603031abc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91886769-3cb5-41f6-b335-7280b85d444d' class='xr-var-data-in' type='checkbox'><label for='data-91886769-3cb5-41f6-b335-7280b85d444d' 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([cftime.DatetimeJulian(181, 1, 1, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(181, 1, 2, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(181, 1, 3, 12, 0, 0, 0, has_year_zero=False), ...,\n",
       "       cftime.DatetimeJulian(181, 12, 29, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(181, 12, 30, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(181, 12, 31, 12, 0, 0, 0, has_year_zero=False)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xt_ocean</span></div><div class='xr-var-dims'>(xt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-130.0 -129.9 ... -120.2 -120.1</div><input id='attrs-f4e9a8c3-174b-48e9-82ac-6305c378fcdb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f4e9a8c3-174b-48e9-82ac-6305c378fcdb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e139746d-e7fe-43e6-9109-bec747876843' class='xr-var-data-in' type='checkbox'><label for='data-e139746d-e7fe-43e6-9109-bec747876843' 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([-129.95, -129.85, -129.75, -129.65, -129.55, -129.45, -129.35, -129.25,\n",
       "       -129.15, -129.05, -128.95, -128.85, -128.75, -128.65, -128.55, -128.45,\n",
       "       -128.35, -128.25, -128.15, -128.05, -127.95, -127.85, -127.75, -127.65,\n",
       "       -127.55, -127.45, -127.35, -127.25, -127.15, -127.05, -126.95, -126.85,\n",
       "       -126.75, -126.65, -126.55, -126.45, -126.35, -126.25, -126.15, -126.05,\n",
       "       -125.95, -125.85, -125.75, -125.65, -125.55, -125.45, -125.35, -125.25,\n",
       "       -125.15, -125.05, -124.95, -124.85, -124.75, -124.65, -124.55, -124.45,\n",
       "       -124.35, -124.25, -124.15, -124.05, -123.95, -123.85, -123.75, -123.65,\n",
       "       -123.55, -123.45, -123.35, -123.25, -123.15, -123.05, -122.95, -122.85,\n",
       "       -122.75, -122.65, -122.55, -122.45, -122.35, -122.25, -122.15, -122.05,\n",
       "       -121.95, -121.85, -121.75, -121.65, -121.55, -121.45, -121.35, -121.25,\n",
       "       -121.15, -121.05, -120.95, -120.85, -120.75, -120.65, -120.55, -120.45,\n",
       "       -120.35, -120.25, -120.15, -120.05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yt_ocean</span></div><div class='xr-var-dims'>(yt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>24.74 24.83 24.92 ... 33.3 33.38</div><input id='attrs-64c4d08b-fcc2-4fea-af1c-2c540d201d1b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-64c4d08b-fcc2-4fea-af1c-2c540d201d1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe843ce0-5ab1-4520-8f73-6e8ecd0d473f' class='xr-var-data-in' type='checkbox'><label for='data-fe843ce0-5ab1-4520-8f73-6e8ecd0d473f' 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([24.743028, 24.833814, 24.924534, 25.015187, 25.105773, 25.196292,\n",
       "       25.286744, 25.377128, 25.467445, 25.557694, 25.647876, 25.737989,\n",
       "       25.828033, 25.91801 , 26.007918, 26.097756, 26.187526, 26.277227,\n",
       "       26.366859, 26.456421, 26.545914, 26.635336, 26.724689, 26.813972,\n",
       "       26.903184, 26.992326, 27.081398, 27.170399, 27.259328, 27.348187,\n",
       "       27.436975, 27.525691, 27.614335, 27.702908, 27.791409, 27.879838,\n",
       "       27.968195, 28.05648 , 28.144692, 28.232832, 28.320899, 28.408893,\n",
       "       28.496814, 28.584661, 28.672436, 28.760137, 28.847764, 28.935318,\n",
       "       29.022798, 29.110203, 29.197535, 29.284792, 29.371975, 29.459083,\n",
       "       29.546116, 29.633074, 29.719958, 29.806766, 29.893499, 29.980157,\n",
       "       30.066739, 30.153245, 30.239676, 30.326031, 30.412309, 30.498512,\n",
       "       30.584638, 30.670687, 30.75666 , 30.842557, 30.928376, 31.014119,\n",
       "       31.099784, 31.185373, 31.270884, 31.356317, 31.441673, 31.526951,\n",
       "       31.612152, 31.697275, 31.782319, 31.867286, 31.952174, 32.036984,\n",
       "       32.121715, 32.206368, 32.290942, 32.375437, 32.459853, 32.544191,\n",
       "       32.628449, 32.712627, 32.796727, 32.880747, 32.964687, 33.048548,\n",
       "       33.132329, 33.21603 , 33.299651, 33.383192])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eb4ee95d-1234-4aa9-9366-e60552aef3e2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-eb4ee95d-1234-4aa9-9366-e60552aef3e2' class='xr-section-summary' >Data variables: <span>(11)</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>slp</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;</div><input id='attrs-ddc6e551-5087-467d-86d7-6e7c0b44eff7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ddc6e551-5087-467d-86d7-6e7c0b44eff7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7861e91-4b5c-4edc-ad6f-4082603f780b' class='xr-var-data-in' type='checkbox'><label for='data-a7861e91-4b5c-4edc-ad6f-4082603f780b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>filter_scale :</span></dt><dd>50</dd><dt><span>filter_type :</span></dt><dd>gaussian</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
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       "                </thead>\n",
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       "                    \n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 13.92 MiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 13.92 MiB </td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 13.92 MiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>q_ref</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;</div><input id='attrs-5be68c40-7201-47d9-9f85-123e74f8f69a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5be68c40-7201-47d9-9f85-123e74f8f69a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0f1fef6-e287-4edb-9a8f-9a8ba09cd95e' class='xr-var-data-in' type='checkbox'><label for='data-c0f1fef6-e287-4edb-9a8f-9a8ba09cd95e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>filter_scale :</span></dt><dd>50</dd><dt><span>filter_type :</span></dt><dd>gaussian</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                    <tr>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 13.92 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;</div><input id='attrs-1b619ff7-1db8-4989-8fa0-dca8cde2b07b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b619ff7-1db8-4989-8fa0-dca8cde2b07b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08f2a1af-c9e7-4a7b-b34b-251fed577f7b' class='xr-var-data-in' type='checkbox'><label for='data-08f2a1af-c9e7-4a7b-b34b-251fed577f7b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>filter_scale :</span></dt><dd>50</dd><dt><span>filter_type :</span></dt><dd>gaussian</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 13.92 MiB </td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 13.92 MiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "    <tr>\n",
       "        <td>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 13.92 MiB </td>\n",
       "                        <td> 117.19 kiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (365, 100, 100) </td>\n",
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       "                        <th> Data type </th>\n",
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       "        <td>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 13.92 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_relative</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;</div><input id='attrs-85cb389d-1e01-4675-85c6-ed339f91c6d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85cb389d-1e01-4675-85c6-ed339f91c6d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d04d2bf4-0b95-4921-a5b1-a690ff094871' class='xr-var-data-in' type='checkbox'><label for='data-d04d2bf4-0b95-4921-a5b1-a690ff094871' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>filter_scale :</span></dt><dd>50</dd><dt><span>filter_type :</span></dt><dd>gaussian</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                    <tr>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 13.92 MiB </td>\n",
       "                        <td> 117.19 kiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_relative</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 100, 100), meta=np.ndarray&gt;</div><input id='attrs-1cf44077-9235-4cbb-b7c3-21b73e0c9417' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1cf44077-9235-4cbb-b7c3-21b73e0c9417' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b45755b7-0b9a-4988-b8ee-78ac0a22137f' class='xr-var-data-in' type='checkbox'><label for='data-b45755b7-0b9a-4988-b8ee-78ac0a22137f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>filter_scale :</span></dt><dd>50</dd><dt><span>filter_type :</span></dt><dd>gaussian</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Array </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 13.92 MiB </td>\n",
       "                        <td> 117.19 kiB </td>\n",
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       "                        <th> Data type </th>\n",
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       "  <line x1=\"80\" y1=\"70\" x2=\"80\" y2=\"113\" style=\"stroke-width:2\" />\n",
       "\n",
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       "  <polygon points=\"10.0,0.0 80.58823529411765,70.58823529411765 80.58823529411765,113.82043524849304 10.0,43.23219995437539\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"53\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"80\" y1=\"70\" x2=\"80\" y2=\"113\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"123\" y1=\"70\" x2=\"123\" y2=\"113\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
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       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"102.204335\" y=\"133.820435\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >100</text>\n",
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       "  <text x=\"35.294118\" y=\"98.526318\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,35.294118,98.526318)\">365</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-8d854ff6-4145-4699-8987-57944232f390' class='xr-section-summary-in' type='checkbox'  ><label for='section-8d854ff6-4145-4699-8987-57944232f390' class='xr-section-summary' >Indexes: <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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-87df8420-3990-4586-9a0e-d40bb404a925' class='xr-index-data-in' type='checkbox'/><label for='index-87df8420-3990-4586-9a0e-d40bb404a925' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([0181-01-01 12:00:00, 0181-01-02 12:00:00, 0181-01-03 12:00:00,\n",
       "             0181-01-04 12:00:00, 0181-01-05 12:00:00, 0181-01-06 12:00:00,\n",
       "             0181-01-07 12:00:00, 0181-01-08 12:00:00, 0181-01-09 12:00:00,\n",
       "             0181-01-10 12:00:00,\n",
       "             ...\n",
       "             0181-12-22 12:00:00, 0181-12-23 12:00:00, 0181-12-24 12:00:00,\n",
       "             0181-12-25 12:00:00, 0181-12-26 12:00:00, 0181-12-27 12:00:00,\n",
       "             0181-12-28 12:00:00, 0181-12-29 12:00:00, 0181-12-30 12:00:00,\n",
       "             0181-12-31 12:00:00],\n",
       "            dtype=&#x27;object&#x27;, length=365, calendar=&#x27;julian&#x27;, freq=&#x27;D&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>xt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-06c6b7a1-c5cd-481a-8366-d89e16ce74db' class='xr-index-data-in' type='checkbox'/><label for='index-06c6b7a1-c5cd-481a-8366-d89e16ce74db' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-129.95000000000175, -129.85000000000173, -129.75000000000176,\n",
       "       -129.65000000000174, -129.55000000000177, -129.45000000000175,\n",
       "       -129.35000000000178, -129.25000000000176,  -129.1500000000018,\n",
       "       -129.05000000000177,  -128.9500000000018, -128.85000000000178,\n",
       "       -128.75000000000182,  -128.6500000000018, -128.55000000000183,\n",
       "        -128.4500000000018, -128.35000000000184, -128.25000000000182,\n",
       "       -128.15000000000185, -128.05000000000183, -127.95000000000186,\n",
       "       -127.85000000000184, -127.75000000000188, -127.65000000000185,\n",
       "       -127.55000000000189, -127.45000000000186,  -127.3500000000019,\n",
       "       -127.25000000000188, -127.15000000000191, -127.05000000000189,\n",
       "       -126.95000000000192,  -126.8500000000019, -126.75000000000193,\n",
       "       -126.65000000000191, -126.55000000000194, -126.45000000000192,\n",
       "       -126.35000000000196, -126.25000000000193, -126.15000000000197,\n",
       "       -126.05000000000194, -125.95000000000198, -125.85000000000196,\n",
       "       -125.75000000000199, -125.65000000000197,   -125.550000000002,\n",
       "       -125.45000000000198, -125.35000000000201, -125.25000000000199,\n",
       "       -125.15000000000202,   -125.050000000002, -124.95000000000203,\n",
       "       -124.85000000000201, -124.75000000000205, -124.65000000000202,\n",
       "       -124.55000000000206, -124.45000000000203, -124.35000000000207,\n",
       "       -124.25000000000205, -124.15000000000208, -124.05000000000206,\n",
       "       -123.95000000000209, -123.85000000000207,  -123.7500000000021,\n",
       "       -123.65000000000208, -123.55000000000211, -123.45000000000209,\n",
       "       -123.35000000000213,  -123.2500000000021, -123.15000000000214,\n",
       "       -123.05000000000211, -122.95000000000215, -122.85000000000213,\n",
       "       -122.75000000000216, -122.65000000000214, -122.55000000000217,\n",
       "       -122.45000000000215, -122.35000000000218, -122.25000000000216,\n",
       "        -122.1500000000022, -122.05000000000217,  -121.9500000000022,\n",
       "       -121.85000000000218, -121.75000000000222,  -121.6500000000022,\n",
       "       -121.55000000000223,  -121.4500000000022, -121.35000000000224,\n",
       "       -121.25000000000222, -121.15000000000225, -121.05000000000223,\n",
       "       -120.95000000000226, -120.85000000000224, -120.75000000000227,\n",
       "       -120.65000000000225, -120.55000000000229, -120.45000000000226,\n",
       "        -120.3500000000023, -120.25000000000227, -120.15000000000231,\n",
       "       -120.05000000000229],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;xt_ocean&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>yt_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-59676315-ab1a-44a3-b972-34db17fe6703' class='xr-index-data-in' type='checkbox'/><label for='index-59676315-ab1a-44a3-b972-34db17fe6703' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([24.743028005786304, 24.833814202883772, 24.924533960340074,\n",
       "       25.015186931740978, 25.105773107375004,  25.19629214217983,\n",
       "        25.28674402829334, 25.377128422005594, 25.467445317308336,\n",
       "       25.557694371844295, 25.647875581463406, 25.737988605161227,\n",
       "       25.828033440650042, 25.918009748278212, 26.007917527624393,\n",
       "       26.097756440389567,  26.18752648802262, 26.277227333576807,\n",
       "       26.366858980374957,  26.45642109282209, 26.545913676118523,\n",
       "       26.635336396020385,  26.72468925960888, 26.813971933990416,\n",
       "       26.903184428130338, 26.992326410484353,  27.08139789190504,\n",
       "       27.170398542196274, 27.259328374100818, 27.348187058769412,\n",
       "       27.436974610837808, 27.525690702802166, 27.614335351193873,\n",
       "        27.70290822985291,  27.79140935720881,  27.87983840844362,\n",
       "       27.968195403887382,   28.0564800200623, 28.144692279201134,\n",
       "         28.2328318591642, 28.320898784089056, 28.408892733171918,\n",
       "        28.49681373245707,  28.58466146247428, 28.672435951176354,\n",
       "       28.760136880424106, 28.847764280080515, 28.935317833334803,\n",
       "       29.022797571961636, 29.110203180475846, 29.197534692565167,\n",
       "        29.28479179406711,  29.37197452058372,  29.45908255927211,\n",
       "        29.54611594764974,  29.63307437419011, 29.719957878327065,\n",
       "       29.806766149847146, 29.893499230101426,  29.98015681018598,\n",
       "       30.066738933369823, 30.153245292054937,  30.23967593142886,\n",
       "        30.32603054519571, 30.412309180462007,   30.4985115322301,\n",
       "        30.58463764952582,  30.67068722864571,  30.75666032053511,\n",
       "       30.842556622780595,  30.92837618824709, 31.014118715806898,\n",
       "        31.09978426024449,  31.18537252171347, 31.270883556917696,\n",
       "       31.356317067287502, 31.441673111445844,  31.52695139209512,\n",
       "       31.612151969776978,  31.69727454846106,  31.78231919060719,\n",
       "       31.867285601447325, 31.952173845358825,   32.0369836288309,\n",
       "        32.12171501815771,  32.20636772108053,  32.29094180580946,\n",
       "       32.375436981332555,  32.45985331777485, 32.544190525365785,\n",
       "        32.62844867614426,  32.71262748157553,  32.79672701561119,\n",
       "       32.880746990946676, 32.964687483444955,  33.04854820702588,\n",
       "         33.1323292394624,   33.2160302958929,  33.29965145599879,\n",
       "        33.38319243613102],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;yt_ocean&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bacb122f-8a9e-4505-a4e0-17cafc4c0ff8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bacb122f-8a9e-4505-a4e0-17cafc4c0ff8' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>filter_scale :</span></dt><dd>50</dd><dt><span>filter_type :</span></dt><dd>gaussian</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 161MB\n",
       "Dimensions:       (time: 365, xt_ocean: 100, yt_ocean: 100)\n",
       "Coordinates:\n",
       "  * time          (time) object 3kB 0181-01-01 12:00:00 ... 0181-12-31 12:00:00\n",
       "  * xt_ocean      (xt_ocean) float64 800B -130.0 -129.9 -129.8 ... -120.2 -120.1\n",
       "  * yt_ocean      (yt_ocean) float64 800B 24.74 24.83 24.92 ... 33.22 33.3 33.38\n",
       "Data variables:\n",
       "    slp           (time, yt_ocean, xt_ocean) float32 15MB dask.array<chunksize=(3, 100, 100), meta=np.ndarray>\n",
       "    v_ref         (time, yt_ocean, xt_ocean) float32 15MB dask.array<chunksize=(3, 100, 100), meta=np.ndarray>\n",
       "    u_ref         (time, yt_ocean, xt_ocean) float32 15MB dask.array<chunksize=(3, 100, 100), meta=np.ndarray>\n",
       "    t_ref         (time, yt_ocean, xt_ocean) float32 15MB dask.array<chunksize=(3, 100, 100), meta=np.ndarray>\n",
       "    q_ref         (time, yt_ocean, xt_ocean) float32 15MB dask.array<chunksize=(3, 100, 100), meta=np.ndarray>\n",
       "    wind          (time, yt_ocean, xt_ocean) float32 15MB dask.array<chunksize=(3, 100, 100), meta=np.ndarray>\n",
       "    surface_temp  (time, yt_ocean, xt_ocean) float32 15MB dask.array<chunksize=(3, 100, 100), meta=np.ndarray>\n",
       "    u_ocean       (time, yt_ocean, xt_ocean) float32 15MB dask.array<chunksize=(3, 100, 100), meta=np.ndarray>\n",
       "    v_ocean       (time, yt_ocean, xt_ocean) float32 15MB dask.array<chunksize=(3, 100, 100), meta=np.ndarray>\n",
       "    u_relative    (time, yt_ocean, xt_ocean) float32 15MB dask.array<chunksize=(3, 100, 100), meta=np.ndarray>\n",
       "    v_relative    (time, yt_ocean, xt_ocean) float32 15MB dask.array<chunksize=(3, 100, 100), meta=np.ndarray>\n",
       "Attributes:\n",
       "    filter_scale:  50\n",
       "    filter_type:   gaussian"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_lowRes_oneYr = ds_lowRes.isel(time=slice(0,365))\n",
    "ds_lowRes_oneYr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "82668fa6-cd73-4c44-be52-c4d7bff6e160",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# kernel always dies in middle\n",
    "ds_lowRes_oneYr.to_zarr(\"gs://leap-persistent/panalluri/filtered_sample_oneYr.zarr\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "257eb6e4-20bf-42d7-b9cc-c345084fed69",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
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   "language": "python",
   "name": "python3"
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   "codemirror_mode": {
    "name": "ipython",
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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