nb showing bug in xgcm Grid object

Grid-bug

{
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   "cell_type": "markdown",
   "id": "d0ca218e-cbe2-43c9-9c14-0e1dbfe91a91",
   "metadata": {},
   "source": [
    "# BUG \n",
    "\n",
    "Bug in grid object when input ds has time dimension as part of definition it raises error when slicing time for laplacian function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "9efc0c4a-3c53-4e54-8958-d7fa7f8f6af8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import numpy as np\n",
    "import dask.array as dsa\n",
    "import matplotlib.pyplot as plt\n",
    "from fastjmd95 import jmd95numba\n",
    "import pop_tools\n",
    "import gcsfs\n",
    "import gcm_filters\n",
    "import xgcm\n",
    "from typing import Annotated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "bb8e2895-3cca-4e51-a302-155564e09360",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/srv/conda/envs/notebook/lib/python3.10/site-packages/xarray/coding/times.py:710: SerializationWarning: Unable to decode time axis into full numpy.datetime64 objects, continuing using cftime.datetime objects instead, reason: dates out of range\n",
      "  dtype = _decode_cf_datetime_dtype(data, units, calendar, self.use_cftime)\n"
     ]
    }
   ],
   "source": [
    "from intake import open_catalog\n",
    "\n",
    "url = \"https://raw.githubusercontent.com/pangeo-data/pangeo-datastore/master/intake-catalogs/ocean/GFDL_CM2.6.yaml\"\n",
    "cat = open_catalog(url)\n",
    "ds  = cat[\"GFDL_CM2_6_control_ocean\"].to_dask()\n",
    "coord  = cat[\"GFDL_CM2_6_grid\"].to_dask()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6adecf45-0b4b-4204-b68b-4194f266fff7",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:            (time: 240, yt_ocean: 2700, xt_ocean: 3600,\n",
       "                        yu_ocean: 2700, xu_ocean: 3600, nv: 2, st_ocean: 50,\n",
       "                        st_edges_ocean: 51, sw_edges_ocean: 51, sw_ocean: 50)\n",
       "Coordinates: (12/14)\n",
       "    geolat_c           (yu_ocean, xu_ocean) float32 dask.array&lt;chunksize=(2700, 3600), meta=np.ndarray&gt;\n",
       "    geolat_t           (yt_ocean, xt_ocean) float32 dask.array&lt;chunksize=(2700, 3600), meta=np.ndarray&gt;\n",
       "    geolon_c           (yu_ocean, xu_ocean) float32 dask.array&lt;chunksize=(2700, 3600), meta=np.ndarray&gt;\n",
       "    geolon_t           (yt_ocean, xt_ocean) float32 dask.array&lt;chunksize=(2700, 3600), meta=np.ndarray&gt;\n",
       "  * nv                 (nv) float64 1.0 2.0\n",
       "  * st_edges_ocean     (st_edges_ocean) float64 0.0 10.07 ... 5.29e+03 5.5e+03\n",
       "    ...                 ...\n",
       "  * sw_ocean           (sw_ocean) float64 10.07 20.16 30.29 ... 5.29e+03 5.5e+03\n",
       "  * time               (time) object 0181-01-16 12:00:00 ... 0200-12-16 12:00:00\n",
       "  * xt_ocean           (xt_ocean) float64 -279.9 -279.8 -279.7 ... 79.85 79.95\n",
       "  * xu_ocean           (xu_ocean) float64 -279.9 -279.8 -279.7 ... 79.9 80.0\n",
       "  * yt_ocean           (yt_ocean) float64 -81.11 -81.07 -81.02 ... 89.94 89.98\n",
       "  * yu_ocean           (yu_ocean) float64 -81.09 -81.05 -81.0 ... 89.96 90.0\n",
       "Data variables: (12/31)\n",
       "    average_DT         (time) timedelta64[ns] dask.array&lt;chunksize=(12,), meta=np.ndarray&gt;\n",
       "    average_T1         (time) object dask.array&lt;chunksize=(12,), meta=np.ndarray&gt;\n",
       "    average_T2         (time) object dask.array&lt;chunksize=(12,), meta=np.ndarray&gt;\n",
       "    eta_t              (time, yt_ocean, xt_ocean) float32 dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "    eta_u              (time, yu_ocean, xu_ocean) float32 dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "    frazil_2d          (time, yt_ocean, xt_ocean) float32 dask.array&lt;chunksize=(3, 2700, 3600), meta=np.ndarray&gt;\n",
       "    ...                 ...\n",
       "    temp_rivermix      (time, st_ocean, yt_ocean, xt_ocean) float32 dask.array&lt;chunksize=(1, 5, 2700, 3600), meta=np.ndarray&gt;\n",
       "    time_bounds        (time, nv) timedelta64[ns] dask.array&lt;chunksize=(12, 2), meta=np.ndarray&gt;\n",
       "    ty_trans           (time, st_ocean, yu_ocean, xt_ocean) float32 dask.array&lt;chunksize=(1, 5, 2700, 3600), meta=np.ndarray&gt;\n",
       "    u                  (time, st_ocean, yu_ocean, xu_ocean) float32 dask.array&lt;chunksize=(1, 5, 2700, 3600), meta=np.ndarray&gt;\n",
       "    v                  (time, st_ocean, yu_ocean, xu_ocean) float32 dask.array&lt;chunksize=(1, 5, 2700, 3600), meta=np.ndarray&gt;\n",
       "    wt                 (time, sw_ocean, yt_ocean, xt_ocean) float32 dask.array&lt;chunksize=(1, 50, 2700, 3600), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    filename:   01810101.ocean.nc\n",
       "    grid_tile:  1\n",
       "    grid_type:  mosaic\n",
       "    title:      CM2.6_miniBling</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-b258ff27-03e6-47f1-a55a-090270507a7b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b258ff27-03e6-47f1-a55a-090270507a7b' 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>: 240</li><li><span class='xr-has-index'>yt_ocean</span>: 2700</li><li><span class='xr-has-index'>xt_ocean</span>: 3600</li><li><span class='xr-has-index'>yu_ocean</span>: 2700</li><li><span class='xr-has-index'>xu_ocean</span>: 3600</li><li><span class='xr-has-index'>nv</span>: 2</li><li><span class='xr-has-index'>st_ocean</span>: 50</li><li><span class='xr-has-index'>st_edges_ocean</span>: 51</li><li><span class='xr-has-index'>sw_edges_ocean</span>: 51</li><li><span class='xr-has-index'>sw_ocean</span>: 50</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-90b5fb12-57b0-4813-9e06-cbf806eb44e1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-90b5fb12-57b0-4813-9e06-cbf806eb44e1' class='xr-section-summary' >Coordinates: <span>(14)</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>geolat_c</span></div><div class='xr-var-dims'>(yu_ocean, xu_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-bdad4e77-d4b3-45be-b5e1-d5e5f6348202' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bdad4e77-d4b3-45be-b5e1-d5e5f6348202' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d2770c6-2425-4dce-9d34-add20b987d55' class='xr-var-data-in' type='checkbox'><label for='data-9d2770c6-2425-4dce-9d34-add20b987d55' 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>uv 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 2 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",
       "        <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-82f00d95-5218-410d-b8d3-e2fdeb70b5db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82f00d95-5218-410d-b8d3-e2fdeb70b5db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f9ca6c1-9f85-4bc0-9f82-2e688e71cf2b' class='xr-var-data-in' type='checkbox'><label for='data-8f9ca6c1-9f85-4bc0-9f82-2e688e71cf2b' 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 2 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",
       "        <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",
       "  <!-- Text -->\n",
       "  <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>geolon_c</span></div><div class='xr-var-dims'>(yu_ocean, xu_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-8deeab9c-0ec6-42a8-9da0-138915ed1251' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8deeab9c-0ec6-42a8-9da0-138915ed1251' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c3b8d52-bb56-4136-8be4-45de7c5789e1' class='xr-var-data-in' type='checkbox'><label for='data-5c3b8d52-bb56-4136-8be4-45de7c5789e1' 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>uv 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 2 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",
       "        <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",
       "  <!-- Text -->\n",
       "  <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>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-01a3278d-920b-4bd7-864b-60d178b98593' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01a3278d-920b-4bd7-864b-60d178b98593' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac08d8d8-e489-472c-83d3-aff47d35c8e5' class='xr-var-data-in' type='checkbox'><label for='data-ac08d8d8-e489-472c-83d3-aff47d35c8e5' 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 2 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",
       "        <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",
       "  <!-- Text -->\n",
       "  <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 class='xr-has-index'>nv</span></div><div class='xr-var-dims'>(nv)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0</div><input id='attrs-61ecf8cf-4e59-4b86-901e-6e9df10fcaa0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61ecf8cf-4e59-4b86-901e-6e9df10fcaa0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-971822b9-ea81-4cfe-a6b6-e5aed25ded58' class='xr-var-data-in' type='checkbox'><label for='data-971822b9-ea81-4cfe-a6b6-e5aed25ded58' 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>N</dd><dt><span>long_name :</span></dt><dd>vertex number</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><pre>array([1., 2.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>st_edges_ocean</span></div><div class='xr-var-dims'>(st_edges_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.07 ... 5.29e+03 5.5e+03</div><input id='attrs-4f74b6b6-7b21-42b6-bcdb-c6b00090ca22' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f74b6b6-7b21-42b6-bcdb-c6b00090ca22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5854c704-c008-4aaf-95a9-08c5b95d465e' class='xr-var-data-in' type='checkbox'><label for='data-5854c704-c008-4aaf-95a9-08c5b95d465e' 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>Z</dd><dt><span>long_name :</span></dt><dd>tcell zstar depth edges</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>array([   0.      ,   10.0671  ,   20.16    ,   30.2889  ,   40.4674  ,\n",
       "         50.714802,   61.057499,   71.532303,   82.189903,   93.100098,\n",
       "        104.359703,  116.101402,  128.507599,  141.827606,  156.400208,\n",
       "        172.683105,  191.287704,  213.020096,  238.922699,  270.309509,\n",
       "        308.779297,  356.186401,  414.545685,  485.854401,  571.842773,\n",
       "        673.697571,  791.842773,  925.85437 , 1074.545654, 1236.186401,\n",
       "       1408.779297, 1590.30957 , 1778.922729, 1973.020142, 2171.287598,\n",
       "       2372.683105, 2576.400146, 2781.827637, 2988.507568, 3196.101562,\n",
       "       3404.359619, 3613.100098, 3822.189941, 4031.532227, 4241.057617,\n",
       "       4450.714844, 4660.467285, 4870.289062, 5080.160156, 5290.066895,\n",
       "       5500.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>st_ocean</span></div><div class='xr-var-dims'>(st_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.034 15.1 ... 5.185e+03 5.395e+03</div><input id='attrs-d70c379b-647c-44c4-9942-42f5e6102e0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d70c379b-647c-44c4-9942-42f5e6102e0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e1ff7ed-82c4-4849-a2a8-e4f6a396ccef' class='xr-var-data-in' type='checkbox'><label for='data-3e1ff7ed-82c4-4849-a2a8-e4f6a396ccef' 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>Z</dd><dt><span>edges :</span></dt><dd>st_edges_ocean</dd><dt><span>long_name :</span></dt><dd>tcell zstar depth</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>array([5.033550e+00, 1.510065e+01, 2.521935e+01, 3.535845e+01, 4.557635e+01,\n",
       "       5.585325e+01, 6.626175e+01, 7.680285e+01, 8.757695e+01, 9.862325e+01,\n",
       "       1.100962e+02, 1.221067e+02, 1.349086e+02, 1.487466e+02, 1.640538e+02,\n",
       "       1.813125e+02, 2.012630e+02, 2.247773e+02, 2.530681e+02, 2.875508e+02,\n",
       "       3.300078e+02, 3.823651e+02, 4.467263e+02, 5.249824e+02, 6.187031e+02,\n",
       "       7.286921e+02, 8.549935e+02, 9.967153e+02, 1.152376e+03, 1.319997e+03,\n",
       "       1.497562e+03, 1.683057e+03, 1.874788e+03, 2.071252e+03, 2.271323e+03,\n",
       "       2.474043e+03, 2.678757e+03, 2.884898e+03, 3.092117e+03, 3.300086e+03,\n",
       "       3.508633e+03, 3.717567e+03, 3.926813e+03, 4.136251e+03, 4.345864e+03,\n",
       "       4.555566e+03, 4.765369e+03, 4.975209e+03, 5.185111e+03, 5.395023e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>sw_edges_ocean</span></div><div class='xr-var-dims'>(sw_edges_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.034 15.1 ... 5.395e+03 5.5e+03</div><input id='attrs-3d3aaef3-65a8-4c33-b8f9-1c1425941d8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d3aaef3-65a8-4c33-b8f9-1c1425941d8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc23fe97-77b1-4b04-add9-299c73511e37' class='xr-var-data-in' type='checkbox'><label for='data-dc23fe97-77b1-4b04-add9-299c73511e37' 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>Z</dd><dt><span>long_name :</span></dt><dd>ucell zstar depth edges</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>array([5.033550e+00, 1.510065e+01, 2.521935e+01, 3.535845e+01, 4.557635e+01,\n",
       "       5.585325e+01, 6.626175e+01, 7.680285e+01, 8.757695e+01, 9.862325e+01,\n",
       "       1.100962e+02, 1.221067e+02, 1.349086e+02, 1.487466e+02, 1.640538e+02,\n",
       "       1.813125e+02, 2.012630e+02, 2.247773e+02, 2.530681e+02, 2.875508e+02,\n",
       "       3.300078e+02, 3.823651e+02, 4.467263e+02, 5.249824e+02, 6.187031e+02,\n",
       "       7.286921e+02, 8.549935e+02, 9.967153e+02, 1.152376e+03, 1.319997e+03,\n",
       "       1.497562e+03, 1.683057e+03, 1.874788e+03, 2.071252e+03, 2.271323e+03,\n",
       "       2.474043e+03, 2.678757e+03, 2.884898e+03, 3.092117e+03, 3.300086e+03,\n",
       "       3.508633e+03, 3.717567e+03, 3.926813e+03, 4.136251e+03, 4.345864e+03,\n",
       "       4.555566e+03, 4.765369e+03, 4.975209e+03, 5.185111e+03, 5.395023e+03,\n",
       "       5.500000e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>sw_ocean</span></div><div class='xr-var-dims'>(sw_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.07 20.16 ... 5.29e+03 5.5e+03</div><input id='attrs-f897ceb7-a3d0-444a-a21a-bb045945a621' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f897ceb7-a3d0-444a-a21a-bb045945a621' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-047f56e3-433b-4dcd-86fc-72c3d4ca26ba' class='xr-var-data-in' type='checkbox'><label for='data-047f56e3-433b-4dcd-86fc-72c3d4ca26ba' 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>Z</dd><dt><span>edges :</span></dt><dd>sw_edges_ocean</dd><dt><span>long_name :</span></dt><dd>ucell zstar depth</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>array([  10.0671  ,   20.16    ,   30.2889  ,   40.4674  ,   50.714802,\n",
       "         61.057499,   71.532303,   82.189903,   93.100098,  104.359703,\n",
       "        116.101402,  128.507599,  141.827606,  156.400208,  172.683105,\n",
       "        191.287704,  213.020096,  238.922699,  270.309509,  308.779297,\n",
       "        356.186401,  414.545685,  485.854401,  571.842773,  673.697571,\n",
       "        791.842773,  925.85437 , 1074.545654, 1236.186401, 1408.779297,\n",
       "       1590.30957 , 1778.922729, 1973.020142, 2171.287598, 2372.683105,\n",
       "       2576.400146, 2781.827637, 2988.507568, 3196.101562, 3404.359619,\n",
       "       3613.100098, 3822.189941, 4031.532227, 4241.057617, 4450.714844,\n",
       "       4660.467285, 4870.289062, 5080.160156, 5290.066895, 5500.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>0181-01-16 12:00:00 ... 0200-12-...</div><input id='attrs-3f40cc54-d87e-4a38-8e54-6faf9a544221' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f40cc54-d87e-4a38-8e54-6faf9a544221' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b18fc97e-2717-4ae1-82f2-57fc32d7e126' class='xr-var-data-in' type='checkbox'><label for='data-b18fc97e-2717-4ae1-82f2-57fc32d7e126' 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>bounds :</span></dt><dd>time_bounds</dd><dt><span>calendar_type :</span></dt><dd>JULIAN</dd><dt><span>cartesian_axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeJulian(181, 1, 16, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(181, 2, 15, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(181, 3, 16, 12, 0, 0, 0, has_year_zero=False),\n",
       "       ...,\n",
       "       cftime.DatetimeJulian(200, 10, 16, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(200, 11, 16, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(200, 12, 16, 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-ac0a58ff-da96-4fec-9080-78bfa83249ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac0a58ff-da96-4fec-9080-78bfa83249ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a063dc14-f5a8-44c3-824a-66f1b9940cf4' class='xr-var-data-in' type='checkbox'><label for='data-a063dc14-f5a8-44c3-824a-66f1b9940cf4' 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'>xu_ocean</span></div><div class='xr-var-dims'>(xu_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-279.9 -279.8 -279.7 ... 79.9 80.0</div><input id='attrs-471b5e65-5f84-44c9-8baf-a6cf5f14432d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-471b5e65-5f84-44c9-8baf-a6cf5f14432d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e76c4edb-3d9b-415d-83e0-b2abf2506818' class='xr-var-data-in' type='checkbox'><label for='data-e76c4edb-3d9b-415d-83e0-b2abf2506818' 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>ucell longitude</dd><dt><span>units :</span></dt><dd>degrees_E</dd></dl></div><div class='xr-var-data'><pre>array([-279.9, -279.8, -279.7, ...,   79.8,   79.9,   80. ])</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-8d4cd8ef-68e8-4e9a-acb7-461530756dbf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d4cd8ef-68e8-4e9a-acb7-461530756dbf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfdb8c4d-7909-4e67-a83d-0b7840ebc550' class='xr-var-data-in' type='checkbox'><label for='data-cfdb8c4d-7909-4e67-a83d-0b7840ebc550' 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 class='xr-has-index'>yu_ocean</span></div><div class='xr-var-dims'>(yu_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-81.09 -81.05 -81.0 ... 89.96 90.0</div><input id='attrs-6e76fa5a-aebc-43b9-9aeb-258faa9e5ea0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e76fa5a-aebc-43b9-9aeb-258faa9e5ea0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a795c894-096e-4ef9-8877-bcf560ace566' class='xr-var-data-in' type='checkbox'><label for='data-a795c894-096e-4ef9-8877-bcf560ace566' 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>ucell latitude</dd><dt><span>units :</span></dt><dd>degrees_N</dd></dl></div><div class='xr-var-data'><pre>array([-81.087512, -81.045273, -81.003033, ...,  89.915537,  89.957776,\n",
       "        90.      ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-368b4c29-796f-4a7a-9fba-4cfd05812e1b' class='xr-section-summary-in' type='checkbox'  ><label for='section-368b4c29-796f-4a7a-9fba-4cfd05812e1b' class='xr-section-summary' >Data variables: <span>(31)</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>average_DT</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12,), meta=np.ndarray&gt;</div><input id='attrs-f4bceefe-89d0-463b-a45b-5e30920cad6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4bceefe-89d0-463b-a45b-5e30920cad6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5d13d6f-eab0-4659-ad48-a85908106ea8' class='xr-var-data-in' type='checkbox'><label for='data-a5d13d6f-eab0-4659-ad48-a85908106ea8' 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>Length of average period</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> 1.88 kiB </td>\n",
       "                        <td> 96 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (240,) </td>\n",
       "                        <td> (12,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 20 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> timedelta64[ns] numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"6\" y1=\"0\" x2=\"6\" y2=\"25\" />\n",
       "  <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n",
       "  <line x1=\"18\" y1=\"0\" x2=\"18\" y2=\"25\" />\n",
       "  <line x1=\"24\" y1=\"0\" x2=\"24\" y2=\"25\" />\n",
       "  <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n",
       "  <line x1=\"36\" y1=\"0\" x2=\"36\" y2=\"25\" />\n",
       "  <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n",
       "  <line x1=\"48\" y1=\"0\" x2=\"48\" y2=\"25\" />\n",
       "  <line x1=\"54\" y1=\"0\" x2=\"54\" y2=\"25\" />\n",
       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"25\" />\n",
       "  <line x1=\"66\" y1=\"0\" x2=\"66\" y2=\"25\" />\n",
       "  <line x1=\"72\" y1=\"0\" x2=\"72\" y2=\"25\" />\n",
       "  <line x1=\"78\" y1=\"0\" x2=\"78\" y2=\"25\" />\n",
       "  <line x1=\"84\" y1=\"0\" x2=\"84\" y2=\"25\" />\n",
       "  <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"25\" />\n",
       "  <line x1=\"96\" y1=\"0\" x2=\"96\" y2=\"25\" />\n",
       "  <line x1=\"102\" y1=\"0\" x2=\"102\" y2=\"25\" />\n",
       "  <line x1=\"108\" y1=\"0\" x2=\"108\" y2=\"25\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >240</text>\n",
       "  <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">1</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>average_T1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12,), meta=np.ndarray&gt;</div><input id='attrs-b1f6964b-b1ef-44a3-b171-65fe87631160' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1f6964b-b1ef-44a3-b171-65fe87631160' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d713430e-685c-4025-870c-883085116961' class='xr-var-data-in' type='checkbox'><label for='data-d713430e-685c-4025-870c-883085116961' 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>Start time for average period</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> 1.88 kiB </td>\n",
       "                        <td> 96 B </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>average_T2</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12,), meta=np.ndarray&gt;</div><input id='attrs-e6fe8169-678e-48ab-a58e-50a64cd7bec3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6fe8169-678e-48ab-a58e-50a64cd7bec3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4086b39a-9f1f-40e8-bb44-d3a156dddc52' class='xr-var-data-in' type='checkbox'><label for='data-4086b39a-9f1f-40e8-bb44-d3a156dddc52' 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>End time for average period</dd></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",
       "                        <td> 1.88 kiB </td>\n",
       "                        <td> 96 B </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eta_t</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-8cf1d5c2-1560-49e3-ab3d-8fb503468e97' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8cf1d5c2-1560-49e3-ab3d-8fb503468e97' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e9f16c6-84ff-43d8-b01f-c93e3cbb7df6' class='xr-var-data-in' type='checkbox'><label for='data-9e9f16c6-84ff-43d8-b01f-c93e3cbb7df6' 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: mean</dd><dt><span>long_name :</span></dt><dd>surface height on T cells [Boussinesq (volume conserving) model]</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>valid_range :</span></dt><dd>[-1000.0, 1000.0]</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 8.69 GiB </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>eta_u</span></div><div class='xr-var-dims'>(time, yu_ocean, xu_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-8d22b423-217f-42ff-8e08-13816b2716f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d22b423-217f-42ff-8e08-13816b2716f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f2a0aa0-df7e-4b1e-9796-02647e58b3a2' class='xr-var-data-in' type='checkbox'><label for='data-7f2a0aa0-df7e-4b1e-9796-02647e58b3a2' 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: mean</dd><dt><span>long_name :</span></dt><dd>surface height on U cells</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>valid_range :</span></dt><dd>[-1000.0, 1000.0]</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> 8.69 GiB </td>\n",
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       "                    <tr>\n",
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       "                        <td colspan=\"2\"> 80 chunks in 2 graph layers </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>frazil_2d</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-67aa209f-1920-4966-b671-a1de64118847' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67aa209f-1920-4966-b671-a1de64118847' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac1b9a4b-9e27-4b16-a419-d59aa2e2178c' class='xr-var-data-in' type='checkbox'><label for='data-ac1b9a4b-9e27-4b16-a419-d59aa2e2178c' 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: mean</dd><dt><span>long_name :</span></dt><dd>ocn frazil heat flux over time step</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>valid_range :</span></dt><dd>[-10000000000.0, 10000000000.0]</dd></dl></div><div class='xr-var-data'><table>\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> 8.69 GiB </td>\n",
       "                        <td> 111.24 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (240, 2700, 3600) </td>\n",
       "                        <td> (3, 2700, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 80 chunks in 2 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>hblt</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-49099bb5-5cdf-4a1b-b20f-4c9b06867032' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49099bb5-5cdf-4a1b-b20f-4c9b06867032' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9dfac1b8-f5be-4af0-8aad-6718c4ad50c1' class='xr-var-data-in' type='checkbox'><label for='data-9dfac1b8-f5be-4af0-8aad-6718c4ad50c1' 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: mean</dd><dt><span>long_name :</span></dt><dd>T-cell boundary layer depth from KPP</dd><dt><span>standard_name :</span></dt><dd>ocean_mixed_layer_thickness_defined_by_mixing_scheme</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_range :</span></dt><dd>[-100000.0, 1000000.0]</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 8.69 GiB </td>\n",
       "                        <td> 111.24 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (240, 2700, 3600) </td>\n",
       "                        <td> (3, 2700, 3600) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 80 chunks in 2 graph layers </td>\n",
       "                    </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>ice_calving</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-97a37db6-7a04-4eb0-8fab-af031d8b3716' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97a37db6-7a04-4eb0-8fab-af031d8b3716' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e441f93-32e9-4a32-94db-b7f29085dba4' class='xr-var-data-in' type='checkbox'><label for='data-1e441f93-32e9-4a32-94db-b7f29085dba4' 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: mean</dd><dt><span>long_name :</span></dt><dd>mass flux of land ice calving into ocean</dd><dt><span>standard_name :</span></dt><dd>water_flux_into_sea_water_from_icebergs</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>(kg/m^3)*(m/sec)</dd><dt><span>valid_range :</span></dt><dd>[-1000000.0, 1000000.0]</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>net_sfc_heating</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-eee99ab4-8074-434a-8e97-98bd46f274ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eee99ab4-8074-434a-8e97-98bd46f274ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95237f34-d3fe-47f8-b776-5f28c446aa8d' class='xr-var-data-in' type='checkbox'><label for='data-95237f34-d3fe-47f8-b776-5f28c446aa8d' 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: mean</dd><dt><span>long_name :</span></dt><dd>surface ocean heat flux coming through coupler and mass transfer</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>Watts/m^2</dd><dt><span>valid_range :</span></dt><dd>[-10000.0, 10000.0]</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 8.69 GiB </td>\n",
       "                        <td> 111.24 MiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "                        <td> (3, 2700, 3600) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 80 chunks in 2 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>pme_river</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-182f855b-4097-459f-96ae-70d3dd91041a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-182f855b-4097-459f-96ae-70d3dd91041a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b56cbb8-e12e-4609-8919-f6b5576b140b' class='xr-var-data-in' type='checkbox'><label for='data-8b56cbb8-e12e-4609-8919-f6b5576b140b' 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: mean</dd><dt><span>long_name :</span></dt><dd>mass flux of precip-evap+river via sbc (liquid, frozen, evaporation)</dd><dt><span>standard_name :</span></dt><dd>water_flux_into_sea_water</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>(kg/m^3)*(m/sec)</dd><dt><span>valid_range :</span></dt><dd>[-1000000.0, 1000000.0]</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> 8.69 GiB </td>\n",
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       "                        <td> (3, 2700, 3600) </td>\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>pot_rho_0</span></div><div class='xr-var-dims'>(time, st_ocean, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 5, 2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-2110cae6-c7a2-461a-bd6d-5d3e90ef36aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2110cae6-c7a2-461a-bd6d-5d3e90ef36aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50f146ae-69cf-4817-8004-8b44b58e7f78' class='xr-var-data-in' type='checkbox'><label for='data-50f146ae-69cf-4817-8004-8b44b58e7f78' 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: mean</dd><dt><span>long_name :</span></dt><dd>potential density referenced to 0 dbar</dd><dt><span>standard_name :</span></dt><dd>sea_water_potential_density</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>kg/m^3</dd><dt><span>valid_range :</span></dt><dd>[-10.0, 100000.0]</dd></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",
       "                        <td> 434.52 GiB </td>\n",
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       "                        <th> Dask graph </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt</span></div><div class='xr-var-dims'>(time, st_ocean, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 5, 2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-12b9fd96-9655-4977-8c42-dce8bbf54618' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12b9fd96-9655-4977-8c42-dce8bbf54618' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89bbfe5c-e5fc-4bdc-a31f-8527c2c43777' class='xr-var-data-in' type='checkbox'><label for='data-89bbfe5c-e5fc-4bdc-a31f-8527c2c43777' 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: mean</dd><dt><span>long_name :</span></dt><dd>Practical Salinity</dd><dt><span>standard_name :</span></dt><dd>sea_water_salinity</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>psu</dd><dt><span>valid_range :</span></dt><dd>[-10.0, 100.0]</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",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 434.52 GiB </td>\n",
       "                        <td> 185.39 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (240, 50, 2700, 3600) </td>\n",
       "                        <td> (1, 5, 2700, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2400 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "                    <tr>\n",
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       "                        <th> Data type </th>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 8.69 GiB </td>\n",
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       "                        <th> Dask graph </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_levelsq</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-9e9d07bf-f853-4dde-b940-3a72671b81d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e9d07bf-f853-4dde-b940-3a72671b81d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43f60a0e-8b8d-46e3-9516-d98d990e26ba' class='xr-var-data-in' type='checkbox'><label for='data-43f60a0e-8b8d-46e3-9516-d98d990e26ba' 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: mean</dd><dt><span>long_name :</span></dt><dd>square of effective sea level (eta_t + patm/(rho0*g)) on T cells</dd><dt><span>standard_name :</span></dt><dd>square_of_sea_surface_height_above_geoid</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>m^2</dd><dt><span>valid_range :</span></dt><dd>[-1000.0, 1000.0]</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 8.69 GiB </td>\n",
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       "                        <th> Dask graph </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sfc_hflux_coupler</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-d2c8d32c-999e-4a8b-ba92-b44434bfb3e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2c8d32c-999e-4a8b-ba92-b44434bfb3e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4795f435-d4c6-4414-ae16-588db14a2f2a' class='xr-var-data-in' type='checkbox'><label for='data-4795f435-d4c6-4414-ae16-588db14a2f2a' 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: mean</dd><dt><span>long_name :</span></dt><dd>surface heat flux coming through coupler</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>Watts/m^2</dd><dt><span>valid_range :</span></dt><dd>[-10000.0, 10000.0]</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sfc_hflux_pme</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-4ffee7b2-9523-4b3c-95c4-a7d3c0dbe977' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ffee7b2-9523-4b3c-95c4-a7d3c0dbe977' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d4b721c-f168-494c-8b76-03a7e5533ad2' class='xr-var-data-in' type='checkbox'><label for='data-6d4b721c-f168-494c-8b76-03a7e5533ad2' 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: mean</dd><dt><span>long_name :</span></dt><dd>heat flux (relative to 0C) from pme transfer of water across ocean surface</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>Watts/m^2</dd><dt><span>valid_range :</span></dt><dd>[-10000.0, 10000.0]</dd></dl></div><div class='xr-var-data'><table>\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> 8.69 GiB </td>\n",
       "                        <td> 111.24 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (240, 2700, 3600) </td>\n",
       "                        <td> (3, 2700, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 80 chunks in 2 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>swflx</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-eec3e114-9ac0-4f1d-918a-72d622fcd7dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eec3e114-9ac0-4f1d-918a-72d622fcd7dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b0bce89-906a-4673-8cb9-2a78207e7cf3' class='xr-var-data-in' type='checkbox'><label for='data-9b0bce89-906a-4673-8cb9-2a78207e7cf3' 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: mean</dd><dt><span>long_name :</span></dt><dd>shortwave flux into ocean (&gt;0 heats ocean)</dd><dt><span>standard_name :</span></dt><dd>surface_net_downward_shortwave_flux</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>valid_range :</span></dt><dd>[-10000000000.0, 10000000000.0]</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 8.69 GiB </td>\n",
       "                        <td> 111.24 MiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "                        <td> (3, 2700, 3600) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 80 chunks in 2 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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       "                        <th> Bytes </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_int_rhodz</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-7a3e5bb8-14f8-434a-a904-a6310ed73886' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a3e5bb8-14f8-434a-a904-a6310ed73886' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85181844-1c09-491c-9f6a-549a401f743d' class='xr-var-data-in' type='checkbox'><label for='data-85181844-1c09-491c-9f6a-549a401f743d' 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: mean</dd><dt><span>long_name :</span></dt><dd>vertical sum of Potential temperature * rho_dzt</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>deg_C*(kg/m^3)*m</dd><dt><span>valid_range :</span></dt><dd>[-1.0000000200408773e+20, 1.0000000200408773e+20]</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_rivermix</span></div><div class='xr-var-dims'>(time, st_ocean, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 5, 2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-66120f9f-12fa-46b9-9053-9d2a0452f36c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66120f9f-12fa-46b9-9053-9d2a0452f36c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8efb85ce-7876-4377-9c49-2abc2feb21cf' class='xr-var-data-in' type='checkbox'><label for='data-8efb85ce-7876-4377-9c49-2abc2feb21cf' 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: mean</dd><dt><span>long_name :</span></dt><dd>cp*rivermix*rho_dzt*temp</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>Watt/m^2</dd><dt><span>valid_range :</span></dt><dd>[-10000000000.0, 10000000000.0]</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bounds</span></div><div class='xr-var-dims'>(time, nv)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 2), meta=np.ndarray&gt;</div><input id='attrs-ffdcff9f-aeba-420a-9414-ffef5d0200b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ffdcff9f-aeba-420a-9414-ffef5d0200b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3441da7-9e05-4aa8-8642-47df78b23bf1' class='xr-var-data-in' type='checkbox'><label for='data-b3441da7-9e05-4aa8-8642-47df78b23bf1' 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>time axis boundaries</dd><dt><span>calendar :</span></dt><dd>JULIAN</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 3.75 kiB </td>\n",
       "                        <td> 192 B </td>\n",
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       "                        <td> (12, 2) </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\"> timedelta64[ns] numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ty_trans</span></div><div class='xr-var-dims'>(time, st_ocean, yu_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 5, 2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-afa4b263-c0bf-4e2b-9608-2a942c99e281' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-afa4b263-c0bf-4e2b-9608-2a942c99e281' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98378d70-07b2-40bb-bc3c-623953d110d3' class='xr-var-data-in' type='checkbox'><label for='data-98378d70-07b2-40bb-bc3c-623953d110d3' 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: mean</dd><dt><span>long_name :</span></dt><dd>T-cell j-mass transport</dd><dt><span>standard_name :</span></dt><dd>ocean_y_mass_transport</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>Sv (10^9 kg/s)</dd><dt><span>valid_range :</span></dt><dd>[-1.0000000200408773e+20, 1.0000000200408773e+20]</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u</span></div><div class='xr-var-dims'>(time, st_ocean, yu_ocean, xu_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 5, 2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-5b44e8ad-c39a-43fc-9f75-7362e8310aaa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b44e8ad-c39a-43fc-9f75-7362e8310aaa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c41d89ab-580b-4a6b-a6fa-ac48f102f618' class='xr-var-data-in' type='checkbox'><label for='data-c41d89ab-580b-4a6b-a6fa-ac48f102f618' 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: mean</dd><dt><span>long_name :</span></dt><dd>i-current</dd><dt><span>standard_name :</span></dt><dd>sea_water_x_velocity</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>m/sec</dd><dt><span>valid_range :</span></dt><dd>[-10.0, 10.0]</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",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 434.52 GiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "  <text x=\"261.914139\" y=\"60.914139\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,261.914139,60.914139)\">2700</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>wt</span></div><div class='xr-var-dims'>(time, sw_ocean, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 50, 2700, 3600), meta=np.ndarray&gt;</div><input id='attrs-9fa3e20a-a336-47e8-96e6-d4a4bf665649' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9fa3e20a-a336-47e8-96e6-d4a4bf665649' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f457fee3-ab04-4aba-8eab-c9dbc87ab47f' class='xr-var-data-in' type='checkbox'><label for='data-f457fee3-ab04-4aba-8eab-c9dbc87ab47f' 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: mean</dd><dt><span>long_name :</span></dt><dd>dia-surface velocity T-points</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>units :</span></dt><dd>m/sec</dd><dt><span>valid_range :</span></dt><dd>[-100000.0, 100000.0]</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> 434.52 GiB </td>\n",
       "                        <td> 1.81 GiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (240, 50, 2700, 3600) </td>\n",
       "                        <td> (1, 50, 2700, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 240 chunks in 2 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",
       "        <td>\n",
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       "\n",
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       "  <text x=\"103.957069\" y=\"117.957069\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,103.957069,117.957069)\">50</text>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-25889bd7-98dc-4574-a5ed-f830f86fea39' class='xr-section-summary-in' type='checkbox'  ><label for='section-25889bd7-98dc-4574-a5ed-f830f86fea39' class='xr-section-summary' >Indexes: <span>(10)</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>nv</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2bb82677-a60c-4ff0-87e0-8fc7455598b9' class='xr-index-data-in' type='checkbox'/><label for='index-2bb82677-a60c-4ff0-87e0-8fc7455598b9' 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(Float64Index([1.0, 2.0], dtype=&#x27;float64&#x27;, name=&#x27;nv&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>st_edges_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d3a4cc4c-16ac-49c8-9516-fa2cad6394cd' class='xr-index-data-in' type='checkbox'/><label for='index-d3a4cc4c-16ac-49c8-9516-fa2cad6394cd' 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(Float64Index([               0.0, 10.067099571228027,  20.15999984741211,\n",
       "               30.28890037536621,  40.46739959716797,  50.71480178833008,\n",
       "              61.057498931884766,  71.53230285644531,  82.18990325927734,\n",
       "                  93.10009765625, 104.35970306396484, 116.10140228271484,\n",
       "              128.50759887695312, 141.82760620117188, 156.40020751953125,\n",
       "                 172.68310546875, 191.28770446777344,  213.0200958251953,\n",
       "              238.92269897460938, 270.30950927734375,      308.779296875,\n",
       "               356.1864013671875,  414.5456848144531,  485.8544006347656,\n",
       "                  571.8427734375,  673.6975708007812,     791.8427734375,\n",
       "               925.8543701171875,  1074.545654296875, 1236.1864013671875,\n",
       "                  1408.779296875,    1590.3095703125, 1778.9227294921875,\n",
       "              1973.0201416015625,   2171.28759765625,   2372.68310546875,\n",
       "               2576.400146484375,   2781.82763671875,  2988.507568359375,\n",
       "                    3196.1015625,  3404.359619140625,   3613.10009765625,\n",
       "                3822.18994140625,    4031.5322265625,    4241.0576171875,\n",
       "                   4450.71484375,   4660.46728515625,       4870.2890625,\n",
       "                   5080.16015625,   5290.06689453125,             5500.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;st_edges_ocean&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>st_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-370e91fb-0a8b-44b8-95be-3bfa292e3216' class='xr-index-data-in' type='checkbox'/><label for='index-370e91fb-0a8b-44b8-95be-3bfa292e3216' 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(Float64Index([ 5.033549785614014,   15.1006498336792, 25.219350814819336,\n",
       "               35.35845184326172, 45.576351165771484, 55.853248596191406,\n",
       "               66.26174926757812,  76.80284881591797,  87.57695007324219,\n",
       "               98.62325286865234, 110.09615325927734, 122.10665130615234,\n",
       "              134.90855407714844, 148.74664306640625,  164.0537567138672,\n",
       "               181.3124542236328, 201.26295471191406, 224.77725219726562,\n",
       "              253.06814575195312, 287.55084228515625, 330.00775146484375,\n",
       "              382.36505126953125,  446.7263488769531,      524.982421875,\n",
       "                      618.703125,  728.6920776367188,  854.9935302734375,\n",
       "               996.7152709960938, 1152.3760986328125, 1319.9967041015625,\n",
       "              1497.5618896484375, 1683.0572509765625, 1874.7882080078125,\n",
       "                  2071.251953125,    2271.3232421875,      2474.04296875,\n",
       "               2678.757080078125,   2884.89794921875,       3092.1171875,\n",
       "                    3300.0859375,  3508.633056640625,  3717.567138671875,\n",
       "               3926.812744140625,   4136.25146484375,   4345.86376953125,\n",
       "                4555.56591796875,   4765.36865234375,   4975.20947265625,\n",
       "                5185.11083984375,   5395.02294921875],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;st_ocean&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>sw_edges_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f617f92b-19bf-43e8-b10b-eb96bf63ad3c' class='xr-index-data-in' type='checkbox'/><label for='index-f617f92b-19bf-43e8-b10b-eb96bf63ad3c' 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(Float64Index([ 5.033549547195435,  15.10064959526062, 25.219350576400757,\n",
       "               35.35845160484314, 45.576350927352905,  55.85324835777283,\n",
       "               66.26174902915955,  76.80284857749939,  87.57694983482361,\n",
       "               98.62325263023376, 110.09615302085876, 122.10665106773376,\n",
       "              134.90855383872986, 148.74664282798767,  164.0537564754486,\n",
       "              181.31245398521423, 201.26295447349548, 224.77725195884705,\n",
       "              253.06814551353455, 287.55084204673767, 330.00775122642517,\n",
       "              382.36505103111267, 446.72634863853455,  524.9824216365814,\n",
       "               618.7031247615814,  728.6920773983002,  854.9935300350189,\n",
       "               996.7152707576752,  1152.376098394394,  1319.996703863144,\n",
       "               1497.561889410019,  1683.057250738144,  1874.788207769394,\n",
       "              2071.2519528865814, 2271.3232419490814, 2474.0429685115814,\n",
       "              2678.7570798397064, 2884.8979489803314, 3092.1171872615814,\n",
       "              3300.0859372615814, 3508.6330564022064, 3717.5671384334564,\n",
       "              3926.8127439022064,  4136.251464605331,  4345.863769292831,\n",
       "               4555.565917730331,  4765.368652105331,  4975.209472417831,\n",
       "               5185.110839605331,  5395.022948980331,  5499.999999761581],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;sw_edges_ocean&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>sw_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-633dd17f-f3d8-4cdd-909a-6ce864e2cd68' class='xr-index-data-in' type='checkbox'/><label for='index-633dd17f-f3d8-4cdd-909a-6ce864e2cd68' 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(Float64Index([10.067099571228027,  20.15999984741211,  30.28890037536621,\n",
       "               40.46739959716797,  50.71480178833008, 61.057498931884766,\n",
       "               71.53230285644531,  82.18990325927734,     93.10009765625,\n",
       "              104.35970306396484, 116.10140228271484, 128.50759887695312,\n",
       "              141.82760620117188, 156.40020751953125,    172.68310546875,\n",
       "              191.28770446777344,  213.0200958251953, 238.92269897460938,\n",
       "              270.30950927734375,      308.779296875,  356.1864013671875,\n",
       "               414.5456848144531,  485.8544006347656,     571.8427734375,\n",
       "               673.6975708007812,     791.8427734375,  925.8543701171875,\n",
       "               1074.545654296875, 1236.1864013671875,     1408.779296875,\n",
       "                 1590.3095703125, 1778.9227294921875, 1973.0201416015625,\n",
       "                2171.28759765625,   2372.68310546875,  2576.400146484375,\n",
       "                2781.82763671875,  2988.507568359375,       3196.1015625,\n",
       "               3404.359619140625,   3613.10009765625,   3822.18994140625,\n",
       "                 4031.5322265625,    4241.0576171875,      4450.71484375,\n",
       "                4660.46728515625,       4870.2890625,      5080.16015625,\n",
       "                5290.06689453125,             5500.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;sw_ocean&#x27;))</pre></div></li><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-0f7870eb-ca0a-4595-9548-2ee12ca28e0e' class='xr-index-data-in' type='checkbox'/><label for='index-0f7870eb-ca0a-4595-9548-2ee12ca28e0e' 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([0181-01-16 12:00:00, 0181-02-15 00:00:00, 0181-03-16 12:00:00,\n",
       "             0181-04-16 00:00:00, 0181-05-16 12:00:00, 0181-06-16 00:00:00,\n",
       "             0181-07-16 12:00:00, 0181-08-16 12:00:00, 0181-09-16 00:00:00,\n",
       "             0181-10-16 12:00:00,\n",
       "             ...\n",
       "             0200-03-16 12:00:00, 0200-04-16 00:00:00, 0200-05-16 12:00:00,\n",
       "             0200-06-16 00:00:00, 0200-07-16 12:00:00, 0200-08-16 12:00:00,\n",
       "             0200-09-16 00:00:00, 0200-10-16 12:00:00, 0200-11-16 00:00:00,\n",
       "             0200-12-16 12:00:00],\n",
       "            dtype=&#x27;object&#x27;, length=240, calendar=&#x27;julian&#x27;, freq=&#x27;None&#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-2f41dd1c-ef38-46cd-abec-66fd8e73a5df' class='xr-index-data-in' type='checkbox'/><label for='index-2f41dd1c-ef38-46cd-abec-66fd8e73a5df' 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(Float64Index([            -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>xu_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-326e66b3-c43b-4160-873b-732e1eca1ea1' class='xr-index-data-in' type='checkbox'/><label for='index-326e66b3-c43b-4160-873b-732e1eca1ea1' 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(Float64Index([             -279.9, -279.79999999999995, -279.69999999999993,\n",
       "               -279.5999999999999,  -279.4999999999999, -279.39999999999986,\n",
       "              -279.29999999999984,  -279.1999999999998,  -279.0999999999998,\n",
       "               -278.9999999999998,\n",
       "              ...\n",
       "                79.09999999999494,   79.19999999999493,   79.29999999999492,\n",
       "                79.39999999999492,   79.49999999999491,    79.5999999999949,\n",
       "                 79.6999999999949,    79.7999999999949,   79.89999999999489,\n",
       "                             80.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;xu_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-ce868219-cb1e-45bc-a40e-4d52db285c93' class='xr-index-data-in' type='checkbox'/><label for='index-ce868219-cb1e-45bc-a40e-4d52db285c93' 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(Float64Index([-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><li class='xr-var-item'><div class='xr-index-name'><div>yu_ocean</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-89d5dfd6-a88c-492a-93a0-59e390595b9e' class='xr-index-data-in' type='checkbox'/><label for='index-89d5dfd6-a88c-492a-93a0-59e390595b9e' 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(Float64Index([-81.08751200116458,  -81.0452726467841, -81.00303329240361,\n",
       "              -80.96079393802313, -80.91855458364265, -80.87631522926216,\n",
       "              -80.83407587488168, -80.79183652050119, -80.74959716612071,\n",
       "              -80.70735781174022,\n",
       "              ...\n",
       "               89.61986158602242,  89.66210094040294,  89.70434029478342,\n",
       "               89.74657964916385,  89.78881900354438,  89.83105835792489,\n",
       "               89.87329771230527,  89.91553706668577,   89.9577764210665,\n",
       "                            90.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;yu_ocean&#x27;, length=2700))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1b83b635-fd72-4da3-bd0c-0ea9d7815e15' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1b83b635-fd72-4da3-bd0c-0ea9d7815e15' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>filename :</span></dt><dd>01810101.ocean.nc</dd><dt><span>grid_tile :</span></dt><dd>1</dd><dt><span>grid_type :</span></dt><dd>mosaic</dd><dt><span>title :</span></dt><dd>CM2.6_miniBling</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:            (time: 240, yt_ocean: 2700, xt_ocean: 3600,\n",
       "                        yu_ocean: 2700, xu_ocean: 3600, nv: 2, st_ocean: 50,\n",
       "                        st_edges_ocean: 51, sw_edges_ocean: 51, sw_ocean: 50)\n",
       "Coordinates: (12/14)\n",
       "    geolat_c           (yu_ocean, xu_ocean) float32 dask.array<chunksize=(2700, 3600), meta=np.ndarray>\n",
       "    geolat_t           (yt_ocean, xt_ocean) float32 dask.array<chunksize=(2700, 3600), meta=np.ndarray>\n",
       "    geolon_c           (yu_ocean, xu_ocean) float32 dask.array<chunksize=(2700, 3600), meta=np.ndarray>\n",
       "    geolon_t           (yt_ocean, xt_ocean) float32 dask.array<chunksize=(2700, 3600), meta=np.ndarray>\n",
       "  * nv                 (nv) float64 1.0 2.0\n",
       "  * st_edges_ocean     (st_edges_ocean) float64 0.0 10.07 ... 5.29e+03 5.5e+03\n",
       "    ...                 ...\n",
       "  * sw_ocean           (sw_ocean) float64 10.07 20.16 30.29 ... 5.29e+03 5.5e+03\n",
       "  * time               (time) object 0181-01-16 12:00:00 ... 0200-12-16 12:00:00\n",
       "  * xt_ocean           (xt_ocean) float64 -279.9 -279.8 -279.7 ... 79.85 79.95\n",
       "  * xu_ocean           (xu_ocean) float64 -279.9 -279.8 -279.7 ... 79.9 80.0\n",
       "  * yt_ocean           (yt_ocean) float64 -81.11 -81.07 -81.02 ... 89.94 89.98\n",
       "  * yu_ocean           (yu_ocean) float64 -81.09 -81.05 -81.0 ... 89.96 90.0\n",
       "Data variables: (12/31)\n",
       "    average_DT         (time) timedelta64[ns] dask.array<chunksize=(12,), meta=np.ndarray>\n",
       "    average_T1         (time) object dask.array<chunksize=(12,), meta=np.ndarray>\n",
       "    average_T2         (time) object dask.array<chunksize=(12,), meta=np.ndarray>\n",
       "    eta_t              (time, yt_ocean, xt_ocean) float32 dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    eta_u              (time, yu_ocean, xu_ocean) float32 dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    frazil_2d          (time, yt_ocean, xt_ocean) float32 dask.array<chunksize=(3, 2700, 3600), meta=np.ndarray>\n",
       "    ...                 ...\n",
       "    temp_rivermix      (time, st_ocean, yt_ocean, xt_ocean) float32 dask.array<chunksize=(1, 5, 2700, 3600), meta=np.ndarray>\n",
       "    time_bounds        (time, nv) timedelta64[ns] dask.array<chunksize=(12, 2), meta=np.ndarray>\n",
       "    ty_trans           (time, st_ocean, yu_ocean, xt_ocean) float32 dask.array<chunksize=(1, 5, 2700, 3600), meta=np.ndarray>\n",
       "    u                  (time, st_ocean, yu_ocean, xu_ocean) float32 dask.array<chunksize=(1, 5, 2700, 3600), meta=np.ndarray>\n",
       "    v                  (time, st_ocean, yu_ocean, xu_ocean) float32 dask.array<chunksize=(1, 5, 2700, 3600), meta=np.ndarray>\n",
       "    wt                 (time, sw_ocean, yt_ocean, xt_ocean) float32 dask.array<chunksize=(1, 50, 2700, 3600), meta=np.ndarray>\n",
       "Attributes:\n",
       "    filename:   01810101.ocean.nc\n",
       "    grid_tile:  1\n",
       "    grid_type:  mosaic\n",
       "    title:      CM2.6_miniBling"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "cd07da14-d179-495c-8dd4-95ffc76dcf90",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "hfacc = ds.temp.where(ds.temp == ds.temp.notnull(), 999).where(ds.temp < 999, 111)\n",
    "mask = hfacc==999"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a8295cdf-9683-43fb-98ca-892bd2f9a91b",
   "metadata": {},
   "outputs": [],
   "source": [
    "wet_mask = mask[0,0]\n",
    "dxt = coord.dxt\n",
    "dyt = coord.dyt\n",
    "dxu = coord.dxu\n",
    "dyu = coord.dyu\n",
    "area_t = coord.area_t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "24fdad03-a20b-49b7-a6d1-a0ad8b556cb3",
   "metadata": {},
   "outputs": [],
   "source": [
    "grid = xgcm.Grid(ds.drop_dims('time'), coords={'X': {'center': 'xt_ocean', 'right': 'xu_ocean'},\n",
    "                        'Y': {'center': 'yt_ocean', 'right': 'yu_ocean'},\n",
    "                        'Z': {'inner': 'st_ocean', 'outer': 'st_edges_ocean'} }, periodic=['X'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "7aef854c-fce3-4169-a27b-3925599c7f4d",
   "metadata": {},
   "outputs": [],
   "source": [
    "@xgcm.as_grid_ufunc(dask=\"parallelized\")\n",
    "def Laplacian(\n",
    "    wet_mask: Annotated[np.ndarray, \"(Y:center, X:center)\"],\n",
    "    dxt:      Annotated[np.ndarray, \"(Y:center, X:center)\"],\n",
    "    dyt:      Annotated[np.ndarray, \"(Y:center, X:center)\"],\n",
    "    area_t:   Annotated[np.ndarray, \"(Y:center, X:center)\"],\n",
    "    tracer:   Annotated[np.ndarray, \"(Y:center, X:center)\"],\n",
    "    dxu:      Annotated[np.ndarray, \"(Y:right, X:right)\"],\n",
    "    dyu:      Annotated[np.ndarray, \"(Y:right, X:right)\"],\n",
    ") ->          Annotated[np.ndarray, \"(Y:center, X:center)\"]:\n",
    "    \n",
    "    \"\"\"Laplacian for MOM5 (tracer points).\n",
    "    MOM5 uses a Northeast convention B-grid, where velocity point U(i,j) is NE of tracer point T(i,j).\n",
    "    Attributes\n",
    "    __________\n",
    "    For information on MOM5 discretization see: https://mom-ocean.github.io/assets/pdfs/MOM5_manual.pdf\n",
    "    wet_mask: Mask array, 1 for ocean, 0 for land\n",
    "    dxt: width in x of T-cell, model diagnostic dxt\n",
    "    dyt: height in y of T-cell, model diagnostic dyt\n",
    "    dxu: width in x of U-cell, model diagnostic dxu\n",
    "    dyu: height in y of U-cell, model diagnostic dyu\n",
    "    area_t: area of T-cell, dxt*dyt\n",
    "    \"\"\"    \n",
    "    x_wet_mask = wet_mask * np.roll(wet_mask, -1, axis=-1)\n",
    "    y_wet_mask = wet_mask * np.roll(wet_mask, -1, axis=-2)\n",
    "#    np = get_array_module(tracer)\n",
    "    tracer = np.nan_to_num(tracer)\n",
    "    fx = 2 * (np.roll(tracer, -1, axis=-2) - tracer)\n",
    "    fx /= dxu + np.roll(dxu, 1, axis=-1)\n",
    "    fy = 2 * (np.roll(tracer, -1, axis=-1) - tracer)\n",
    "    fy /= dyu + np.roll(dyu, 1, axis=-2)\n",
    "    fx *= x_wet_mask\n",
    "    fy *= y_wet_mask\n",
    "\n",
    "    out1 = fx * 0.5 * (dyt + np.roll(dyt, -1, axis=-2))\n",
    "    out1 -= (\n",
    "        np.roll(fx, 1, axis=-2) * 0.5 * (dyt + np.roll(dyt, 1, axis=-2))\n",
    "    )\n",
    "    out1 /= area_t\n",
    "\n",
    "    out2 = fy * 0.5 * (dxt + np.roll(dxt, -1, axis=-1))\n",
    "    out2 -= (\n",
    "        np.roll(fy, 1, axis=-1) * 0.5 * (dxt + np.roll(dxt, 1, axis=-1))\n",
    "    )\n",
    "    out2 /= area_t\n",
    "    return out1 + out2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "526e55b9-e19d-4495-a430-e85b5e081a16",
   "metadata": {},
   "outputs": [],
   "source": [
    "axis = 7*[('Y','X')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "e6eb7d44-4a2d-4b00-8edd-9e99667689ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "temp = ds.temp.isel(time=slice(0,3), st_ocean=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "8080b53f-a858-47d5-9c8a-38771c7171f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "test = Laplacian(grid, wet_mask, dxt, dyt, area_t, temp, dxu, dyu, axis=axis)"
   ]
  }
 ],
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