RunGcm-filters-leticia.ipynb

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    "## Mapping eddy flow structures using GCM-Filters\n",
    "\n",
    "### Our team:\n",
    "#### Nora Loose (mentor), Paige Martin (mentor), Ana Clara Mariani, Leticia de Lima\n"
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    "### Goals:\n",
    "- Apply the GCM-Filters to NCAR CESM Global High Resolution Ocean Model Field\n",
    "- Visualize how the eddy flow structures evolve over time\n",
    "- Evaluate the Eddy Energy\n",
    "\n",
    "### The new things we learned while developing this project:\n",
    "- How to work with a workflow in github\n",
    "- How to create a conda enviroment\n",
    "- Various tools in python\n"
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    "import numpy as np\n",
    "import xarray as xr\n",
    "import matplotlib.pyplot as plt \n",
    "import gcm_filters\n",
    "from intake import open_catalog"
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:             (nlat: 2400, nlon: 3600, time: 16401, z_t: 62, z_w: 62,\n",
       "                         z_t_150m: 15, z_w_bot: 62, z_w_top: 62)\n",
       "Coordinates: (12/59)\n",
       "    ANGLE               (nlat, nlon) float64 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    ANGLET              (nlat, nlon) float64 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    DXT                 (nlat, nlon) float64 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    DXU                 (nlat, nlon) float64 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    DYT                 (nlat, nlon) float64 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    DYU                 (nlat, nlon) float64 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    ...                  ...\n",
       "    vonkar              float64 ...\n",
       "  * z_t                 (z_t) float32 500.0 1.5e+03 ... 5.625e+05 5.875e+05\n",
       "  * z_t_150m            (z_t_150m) float32 500.0 1.5e+03 ... 1.35e+04 1.45e+04\n",
       "  * z_w                 (z_w) float32 0.0 1e+03 2e+03 ... 5.5e+05 5.75e+05\n",
       "  * z_w_bot             (z_w_bot) float32 1e+03 2e+03 3e+03 ... 5.75e+05 6e+05\n",
       "  * z_w_top             (z_w_top) float32 0.0 1e+03 2e+03 ... 5.5e+05 5.75e+05\n",
       "Dimensions without coordinates: nlat, nlon\n",
       "Data variables:\n",
       "    SHF_2               (time, nlat, nlon) float32 dask.array&lt;chunksize=(1, 2400, 3600), meta=np.ndarray&gt;\n",
       "    SSH_2               (time, nlat, nlon) float32 dask.array&lt;chunksize=(1, 2400, 3600), meta=np.ndarray&gt;\n",
       "    SSS                 (time, nlat, nlon) float32 dask.array&lt;chunksize=(1, 2400, 3600), meta=np.ndarray&gt;\n",
       "    SST                 (time, nlat, nlon) float32 dask.array&lt;chunksize=(1, 2400, 3600), meta=np.ndarray&gt;\n",
       "    TAUX_2              (time, nlat, nlon) float32 dask.array&lt;chunksize=(1, 2400, 3600), meta=np.ndarray&gt;\n",
       "    TAUY_2              (time, nlat, nlon) float32 dask.array&lt;chunksize=(1, 2400, 3600), meta=np.ndarray&gt;\n",
       "    U1_1                (time, nlat, nlon) float32 dask.array&lt;chunksize=(1, 2400, 3600), meta=np.ndarray&gt;\n",
       "    U2_2                (time, nlat, nlon) float32 dask.array&lt;chunksize=(1, 2400, 3600), meta=np.ndarray&gt;\n",
       "    V1_1                (time, nlat, nlon) float32 dask.array&lt;chunksize=(1, 2400, 3600), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    Conventions:   CF-1.0; http://www.cgd.ucar.edu/cms/eaton/netcdf/CF-curren...\n",
       "    calendar:      All years have exactly  365 days.\n",
       "    cell_methods:  cell_methods = time: mean ==&gt; the variable values are aver...\n",
       "    contents:      Diagnostic and Prognostic Variables\n",
       "    history:       none\n",
       "    nsteps_total:  3535200\n",
       "    revision:      $Id: tavg.F90 56176 2013-12-20 18:35:46Z mlevy@ucar.edu $\n",
       "    source:        CCSM POP2, the CCSM Ocean Component\n",
       "    start_time:    This dataset was created on 2016-05-17 at 03:29:14.8\n",
       "    tavg_sum:      86399.99999999999\n",
       "    title:         BRCP85C5CN_ne120_t12_pop62.c13b17.asdphys.001</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-2d84c429-c628-496e-9c90-5bf3773bc2d3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2d84c429-c628-496e-9c90-5bf3773bc2d3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>nlat</span>: 2400</li><li><span>nlon</span>: 3600</li><li><span class='xr-has-index'>time</span>: 16401</li><li><span class='xr-has-index'>z_t</span>: 62</li><li><span class='xr-has-index'>z_w</span>: 62</li><li><span class='xr-has-index'>z_t_150m</span>: 15</li><li><span class='xr-has-index'>z_w_bot</span>: 62</li><li><span class='xr-has-index'>z_w_top</span>: 62</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d0a2a1ee-d409-44dd-b776-09eade68a771' class='xr-section-summary-in' type='checkbox'  ><label for='section-d0a2a1ee-d409-44dd-b776-09eade68a771' class='xr-section-summary' >Coordinates: <span>(59)</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>ANGLE</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-b3a18021-9fba-4826-81e4-33af26940207' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3a18021-9fba-4826-81e4-33af26940207' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f5320ca-d6b0-4b2a-bde8-91d6c9ba86aa' class='xr-var-data-in' type='checkbox'><label for='data-6f5320ca-d6b0-4b2a-bde8-91d6c9ba86aa' 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>angle grid makes with latitude line</dd><dt><span>units :</span></dt><dd>radians</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ANGLET</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-c67326bd-2d86-405f-a0b6-d7552effbb2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c67326bd-2d86-405f-a0b6-d7552effbb2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9dc45a15-5b61-419e-b074-2baaacc83c0e' class='xr-var-data-in' type='checkbox'><label for='data-9dc45a15-5b61-419e-b074-2baaacc83c0e' 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>angle grid makes with latitude line on T grid</dd><dt><span>units :</span></dt><dd>radians</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DXT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-c440fe05-f406-4fea-9a2f-358341a3c20d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c440fe05-f406-4fea-9a2f-358341a3c20d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed367d40-22a9-46ce-b2c3-5c3cfe0373ac' class='xr-var-data-in' type='checkbox'><label for='data-ed367d40-22a9-46ce-b2c3-5c3cfe0373ac' 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>x-spacing centered at T points</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DXU</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-ee5ed091-ca91-4819-834a-a7a84b38b2f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee5ed091-ca91-4819-834a-a7a84b38b2f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22ae5eea-6305-4492-a4e1-060b4a7f3489' class='xr-var-data-in' type='checkbox'><label for='data-22ae5eea-6305-4492-a4e1-060b4a7f3489' 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>x-spacing centered at U points</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "\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>DYT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-428a79c3-b665-42f9-aca1-7f88d57379d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-428a79c3-b665-42f9-aca1-7f88d57379d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2702a85-0ee1-49c6-8fa0-ebe4a18e4634' class='xr-var-data-in' type='checkbox'><label for='data-e2702a85-0ee1-49c6-8fa0-ebe4a18e4634' 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>y-spacing centered at T points</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DYU</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-87bc53f6-c054-4a71-9b09-8283baa03629' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87bc53f6-c054-4a71-9b09-8283baa03629' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a6dd29f-9dc6-4c20-a671-d93c958ee17d' class='xr-var-data-in' type='checkbox'><label for='data-1a6dd29f-9dc6-4c20-a671-d93c958ee17d' 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>y-spacing centered at U points</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "            </table>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-985d7d27-e046-491a-94b4-0a4a1c0892f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-985d7d27-e046-491a-94b4-0a4a1c0892f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c917f6b3-3fd1-4162-a19e-0895a6711da5' class='xr-var-data-in' type='checkbox'><label for='data-c917f6b3-3fd1-4162-a19e-0895a6711da5' 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>ocean depth at T points</dd><dt><span>units :</span></dt><dd>centimeter</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HTE</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-33bd92b9-cbc9-45bc-89d1-f7e3f0b4797c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33bd92b9-cbc9-45bc-89d1-f7e3f0b4797c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d08f548-478d-4147-8571-864e67d501ab' class='xr-var-data-in' type='checkbox'><label for='data-2d08f548-478d-4147-8571-864e67d501ab' 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>cell widths on East sides of T cell</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HTN</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-1017b02c-a842-42d8-95fe-d64f93c7ee6f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1017b02c-a842-42d8-95fe-d64f93c7ee6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83e504d6-8249-438d-bbca-feccb6ba69ff' class='xr-var-data-in' type='checkbox'><label for='data-83e504d6-8249-438d-bbca-feccb6ba69ff' 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>cell widths on North sides of T cell</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HU</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-72bb168d-c5e8-4291-a7da-9bdaf8c2afc1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72bb168d-c5e8-4291-a7da-9bdaf8c2afc1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3bffafc-f6c2-4607-8fc3-555db38d3747' class='xr-var-data-in' type='checkbox'><label for='data-e3bffafc-f6c2-4607-8fc3-555db38d3747' 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>ocean depth at U points</dd><dt><span>units :</span></dt><dd>centimeter</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HUS</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-80126087-ff38-43d6-9a4a-0ea729dbd1a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80126087-ff38-43d6-9a4a-0ea729dbd1a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-beb6ded7-9f80-475d-b9c7-76883270d8f7' class='xr-var-data-in' type='checkbox'><label for='data-beb6ded7-9f80-475d-b9c7-76883270d8f7' 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>cell widths on South sides of U cell</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HUW</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-1f3ffbe4-4808-4cb7-9c56-0839dc335319' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f3ffbe4-4808-4cb7-9c56-0839dc335319' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74894eb5-9d14-43e9-b681-578a9cfbbd4e' class='xr-var-data-in' type='checkbox'><label for='data-74894eb5-9d14-43e9-b681-578a9cfbbd4e' 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>cell widths on West sides of U cell</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>KMT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-fbff7473-7fbb-4fba-a341-ecbc0af6797a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbff7473-7fbb-4fba-a341-ecbc0af6797a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0ec116d-6d1b-42bf-98ee-021eb9b09ab6' class='xr-var-data-in' type='checkbox'><label for='data-b0ec116d-6d1b-42bf-98ee-021eb9b09ab6' 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>k Index of Deepest Grid Cell on T Grid</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 65.92 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>KMU</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-cf64d6b5-16fc-4f20-aebc-37c2119187ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf64d6b5-16fc-4f20-aebc-37c2119187ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95ed72bd-585e-4641-af81-aa739efc9282' class='xr-var-data-in' type='checkbox'><label for='data-95ed72bd-585e-4641-af81-aa739efc9282' 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>k Index of Deepest Grid Cell on U Grid</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>REGION_MASK</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-7031ae45-901e-496b-afe5-3d1c6ec28ef5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7031ae45-901e-496b-afe5-3d1c6ec28ef5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3366dba-ab98-4502-834a-01df7aa24c62' class='xr-var-data-in' type='checkbox'><label for='data-f3366dba-ab98-4502-834a-01df7aa24c62' 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>basin index number (signed integers)</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
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       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>T0_Kelvin</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1eddc2a4-589a-4531-a16e-6df8391d09d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1eddc2a4-589a-4531-a16e-6df8391d09d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0eb7cf5d-a0ee-4183-a2b9-d55e23d74757' class='xr-var-data-in' type='checkbox'><label for='data-0eb7cf5d-a0ee-4183-a2b9-d55e23d74757' 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>Zero Point for Celsius</dd><dt><span>units :</span></dt><dd>degK</dd></dl></div><div class='xr-var-data'><pre>array(273.15)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TAREA</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-0d057046-016a-408a-8291-df5efe72b660' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d057046-016a-408a-8291-df5efe72b660' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aceb4a39-8cf1-4418-8c43-3f675ccf9df4' class='xr-var-data-in' type='checkbox'><label for='data-aceb4a39-8cf1-4418-8c43-3f675ccf9df4' 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>area of T cells</dd><dt><span>units :</span></dt><dd>centimeter^2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
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       "                    <tr>\n",
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       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TLAT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-2cd245bf-bd68-426b-8200-6d4fcc109b16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2cd245bf-bd68-426b-8200-6d4fcc109b16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43240c37-ee42-4923-8b88-ff0a9628dc53' class='xr-var-data-in' type='checkbox'><label for='data-43240c37-ee42-4923-8b88-ff0a9628dc53' 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>array of t-grid latitudes</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TLONG</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-b471c8fe-3864-4fc6-8a14-914f836db127' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b471c8fe-3864-4fc6-8a14-914f836db127' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e50596c8-8e41-46d7-996e-4b6ada4a1d57' class='xr-var-data-in' type='checkbox'><label for='data-e50596c8-8e41-46d7-996e-4b6ada4a1d57' 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>array of t-grid longitudes</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UAREA</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-0e3aab2e-7ae8-4d15-b393-9f36271ba7cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e3aab2e-7ae8-4d15-b393-9f36271ba7cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5bc2ca2f-2d38-4cdd-8e53-d8ff22296148' class='xr-var-data-in' type='checkbox'><label for='data-5bc2ca2f-2d38-4cdd-8e53-d8ff22296148' 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>area of U cells</dd><dt><span>units :</span></dt><dd>centimeter^2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "  <!-- Horizontal lines -->\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>ULAT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-a1b336f2-20cc-4168-b3a9-11091d58cd2c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1b336f2-20cc-4168-b3a9-11091d58cd2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-672ab05a-9061-40b4-bdc5-d2d88742b3e9' class='xr-var-data-in' type='checkbox'><label for='data-672ab05a-9061-40b4-bdc5-d2d88742b3e9' 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>array of u-grid latitudes</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ULONG</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-4e280433-96f7-4f18-b36d-1fa3873abaf5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e280433-96f7-4f18-b36d-1fa3873abaf5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c49e86b6-74a1-4419-bb43-319d917e9208' class='xr-var-data-in' type='checkbox'><label for='data-c49e86b6-74a1-4419-bb43-319d917e9208' 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>array of u-grid longitudes</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "</svg>\n",
       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cp_air</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9cc695e3-b2ba-4016-af63-17b7f00fbcc4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9cc695e3-b2ba-4016-af63-17b7f00fbcc4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35ce2874-e7c9-48c3-bf83-389582a57895' class='xr-var-data-in' type='checkbox'><label for='data-35ce2874-e7c9-48c3-bf83-389582a57895' 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>Heat Capacity of Air</dd><dt><span>units :</span></dt><dd>joule/kg/degK</dd></dl></div><div class='xr-var-data'><pre>array(1004.64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cp_sw</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d875a090-c6c0-4afd-9182-e7a99e4fbd32' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d875a090-c6c0-4afd-9182-e7a99e4fbd32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bd3b847-ca50-4c70-8101-3ea01e3ba3c4' class='xr-var-data-in' type='checkbox'><label for='data-8bd3b847-ca50-4c70-8101-3ea01e3ba3c4' 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>Specific Heat of Sea Water</dd><dt><span>units :</span></dt><dd>erg/g/K</dd></dl></div><div class='xr-var-data'><pre>array(39960000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>days_in_norm_year</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4e6d339e-b231-4c6d-94aa-58e92d6d57f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e6d339e-b231-4c6d-94aa-58e92d6d57f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f81f9612-caae-4adc-8fa0-d7da19995861' class='xr-var-data-in' type='checkbox'><label for='data-f81f9612-caae-4adc-8fa0-d7da19995861' 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>Calendar Length</dd></dl></div><div class='xr-var-data'><pre>array(31536000000000000, dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dz</span></div><div class='xr-var-dims'>(z_t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(62,), meta=np.ndarray&gt;</div><input id='attrs-6f18931f-11e3-40a2-8002-92a845db63f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f18931f-11e3-40a2-8002-92a845db63f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d4e4d83-b24f-43a6-9e54-d38215b3b24e' class='xr-var-data-in' type='checkbox'><label for='data-3d4e4d83-b24f-43a6-9e54-d38215b3b24e' 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>thickness of layer k</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 248 B </td>\n",
       "                        <td> 248 B </td>\n",
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       "                    <tr>\n",
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       "                        <td> (62,) </td>\n",
       "                        <td> (62,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dzw</span></div><div class='xr-var-dims'>(z_w)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(62,), meta=np.ndarray&gt;</div><input id='attrs-2e7822cf-dd2a-4ead-b986-ed11a497922d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e7822cf-dd2a-4ead-b986-ed11a497922d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca1b9a70-51bd-4ddf-a8de-68515b61e628' class='xr-var-data-in' type='checkbox'><label for='data-ca1b9a70-51bd-4ddf-a8de-68515b61e628' 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>midpoint of k to midpoint of k+1</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <thead>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                        <td> 248 B </td>\n",
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       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fwflux_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-22b0382c-7046-4c55-af1c-05108fa6643b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22b0382c-7046-4c55-af1c-05108fa6643b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-561f4898-0f82-4926-9166-d81f6f781294' class='xr-var-data-in' type='checkbox'><label for='data-561f4898-0f82-4926-9166-d81f6f781294' 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>Convert Net Fresh Water Flux to Salt Flux (in model units)</dd></dl></div><div class='xr-var-data'><pre>array(0.0001)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>grav</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-37be4b29-46c2-47bb-ae38-c076249a5596' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37be4b29-46c2-47bb-ae38-c076249a5596' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4340393-49c8-45d5-a613-51d6fd3ab692' class='xr-var-data-in' type='checkbox'><label for='data-e4340393-49c8-45d5-a613-51d6fd3ab692' 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>Acceleration Due to Gravity</dd><dt><span>units :</span></dt><dd>centimeter/s^2</dd></dl></div><div class='xr-var-data'><pre>array(980.616)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heat_to_PW</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-be4a31e6-6815-493b-ac10-1da5f835249d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be4a31e6-6815-493b-ac10-1da5f835249d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9182933b-348f-49b8-a8ac-6e6e274a3c5c' class='xr-var-data-in' type='checkbox'><label for='data-9182933b-348f-49b8-a8ac-6e6e274a3c5c' 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>Convert Heat Flux to Petawatts</dd></dl></div><div class='xr-var-data'><pre>array(4.186e-15)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hflux_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-46024413-d01f-4a28-a75d-0596dc9a8ac2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46024413-d01f-4a28-a75d-0596dc9a8ac2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad3904f7-f4aa-4234-9732-86f561dde597' class='xr-var-data-in' type='checkbox'><label for='data-ad3904f7-f4aa-4234-9732-86f561dde597' 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>Convert Heat and Solar Flux to Temperature Flux</dd></dl></div><div class='xr-var-data'><pre>array(2.439086e-05)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latent_heat_fusion</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c3c0700c-2895-4ba4-b4b4-6f54cc5773eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3c0700c-2895-4ba4-b4b4-6f54cc5773eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52524084-a295-4a70-8dc3-53028b20abde' class='xr-var-data-in' type='checkbox'><label for='data-52524084-a295-4a70-8dc3-53028b20abde' 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>Latent Heat of Fusion</dd><dt><span>units :</span></dt><dd>erg/g</dd></dl></div><div class='xr-var-data'><pre>array(3.337e+09)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latent_heat_vapor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ed731502-a580-4b07-a272-fb52c1bbf3d4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed731502-a580-4b07-a272-fb52c1bbf3d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc159d63-40e5-454a-8c80-f338d75d3450' class='xr-var-data-in' type='checkbox'><label for='data-bc159d63-40e5-454a-8c80-f338d75d3450' 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>Latent Heat of Vaporization</dd><dt><span>units :</span></dt><dd>J/kg</dd></dl></div><div class='xr-var-data'><pre>array(2501000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mass_to_Sv</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2d3b0ab4-f775-42e0-90fe-48e8b9471643' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d3b0ab4-f775-42e0-90fe-48e8b9471643' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1bbc6eec-9048-4cc2-81ee-71662626df05' class='xr-var-data-in' type='checkbox'><label for='data-1bbc6eec-9048-4cc2-81ee-71662626df05' 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>Convert Mass Flux to Sverdrups</dd></dl></div><div class='xr-var-data'><pre>array(1.e-12)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>momentum_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f5590f8a-7489-487e-ab10-c1add6df331c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5590f8a-7489-487e-ab10-c1add6df331c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b84450b2-d57e-4295-bd24-d465884a6d0a' class='xr-var-data-in' type='checkbox'><label for='data-b84450b2-d57e-4295-bd24-d465884a6d0a' 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>Convert Windstress to Velocity Flux</dd></dl></div><div class='xr-var-data'><pre>array(10.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nsurface_t</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3996e24d-26c7-4c75-b856-004aad9c24cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3996e24d-26c7-4c75-b856-004aad9c24cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-528a3787-0d91-43f2-8c98-41f0aa9ba65e' class='xr-var-data-in' type='checkbox'><label for='data-528a3787-0d91-43f2-8c98-41f0aa9ba65e' 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>Number of Ocean T Points at Surface</dd></dl></div><div class='xr-var-data'><pre>array(5413142.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nsurface_u</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-70112346-6903-4c70-9bde-f1046ffa38dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70112346-6903-4c70-9bde-f1046ffa38dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d36e7018-5571-4fc0-af1f-e255cc92d8f4' class='xr-var-data-in' type='checkbox'><label for='data-d36e7018-5571-4fc0-af1f-e255cc92d8f4' 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>Number of Ocean U Points at Surface</dd></dl></div><div class='xr-var-data'><pre>array(5371534.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocn_ref_salinity</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9b3ff4fb-91bf-441c-a302-f3ed0eb54e6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b3ff4fb-91bf-441c-a302-f3ed0eb54e6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fec9a17-81b0-468d-b6fb-784f6638e232' class='xr-var-data-in' type='checkbox'><label for='data-7fec9a17-81b0-468d-b6fb-784f6638e232' 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>Ocean Reference Salinity</dd><dt><span>units :</span></dt><dd>g/kg</dd></dl></div><div class='xr-var-data'><pre>array(34.7)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>omega</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d3115ab6-edc8-4219-b4e9-f453ea8c5c3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3115ab6-edc8-4219-b4e9-f453ea8c5c3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5bdcf0be-7138-4a23-9fe3-0a34839ab71a' class='xr-var-data-in' type='checkbox'><label for='data-5bdcf0be-7138-4a23-9fe3-0a34839ab71a' 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>Earths Angular Velocity</dd><dt><span>units :</span></dt><dd>1/second</dd></dl></div><div class='xr-var-data'><pre>array(7.292124e-05)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ppt_to_salt</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-473f8595-91c1-42b8-856e-0603ce7e3a4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-473f8595-91c1-42b8-856e-0603ce7e3a4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebba7240-b9cf-42bd-904e-e147b7aaa1cf' class='xr-var-data-in' type='checkbox'><label for='data-ebba7240-b9cf-42bd-904e-e147b7aaa1cf' 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>Convert Salt in g/kg to gram/gram</dd></dl></div><div class='xr-var-data'><pre>array(0.001)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>radius</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a52a382a-1a82-4b62-8154-bec74fc24d1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a52a382a-1a82-4b62-8154-bec74fc24d1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d5be3e4-5f10-4d1a-b6c7-a620c611766f' class='xr-var-data-in' type='checkbox'><label for='data-0d5be3e4-5f10-4d1a-b6c7-a620c611766f' 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>Earths Radius</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><pre>array(6.37122e+08)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rho_air</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-520b1953-8f89-43e7-b507-13c804ceacd1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-520b1953-8f89-43e7-b507-13c804ceacd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-462edbbd-7e5c-44db-9f5b-ab8b861a9d5e' class='xr-var-data-in' type='checkbox'><label for='data-462edbbd-7e5c-44db-9f5b-ab8b861a9d5e' 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>Ambient Air Density</dd><dt><span>units :</span></dt><dd>kg/m^3</dd></dl></div><div class='xr-var-data'><pre>array(1.292318)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rho_fw</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c132458a-392a-4dfc-b455-630c72d2f75e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c132458a-392a-4dfc-b455-630c72d2f75e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a52805c-d616-489c-b21a-d348b570eee1' class='xr-var-data-in' type='checkbox'><label for='data-8a52805c-d616-489c-b21a-d348b570eee1' 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>Density of Fresh Water</dd><dt><span>units :</span></dt><dd>gram/centimeter^3</dd></dl></div><div class='xr-var-data'><pre>array(1.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rho_sw</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-189d1b00-3e8d-4dbf-a51a-b5f649603a73' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-189d1b00-3e8d-4dbf-a51a-b5f649603a73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-435b05bf-e545-4a98-9193-945c70e4d7b4' class='xr-var-data-in' type='checkbox'><label for='data-435b05bf-e545-4a98-9193-945c70e4d7b4' 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>Density of Sea Water</dd><dt><span>units :</span></dt><dd>gram/centimeter^3</dd></dl></div><div class='xr-var-data'><pre>array(1.026)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salinity_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f4fa64dd-aba7-4285-9307-75cf5825c9cf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f4fa64dd-aba7-4285-9307-75cf5825c9cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-736f8ab5-f1d4-499e-8869-2d46a95eca0f' class='xr-var-data-in' type='checkbox'><label for='data-736f8ab5-f1d4-499e-8869-2d46a95eca0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(-0.00347)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt_to_Svppt</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ecc536bf-6edf-4205-94ad-fd73847f0d03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ecc536bf-6edf-4205-94ad-fd73847f0d03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-729b11d3-b075-4fda-bed6-7a58c0f8960d' class='xr-var-data-in' type='checkbox'><label for='data-729b11d3-b075-4fda-bed6-7a58c0f8960d' 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>Convert Salt Flux to Sverdrups*g/kg</dd></dl></div><div class='xr-var-data'><pre>array(1.e-09)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt_to_mmday</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f81c8570-258e-4a8a-a53f-49af651fd3b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f81c8570-258e-4a8a-a53f-49af651fd3b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6da81d7e-1455-4da1-9a51-bee8bbf273cb' class='xr-var-data-in' type='checkbox'><label for='data-6da81d7e-1455-4da1-9a51-bee8bbf273cb' 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>Convert Salt to Water (millimeters/day)</dd></dl></div><div class='xr-var-data'><pre>array(315360.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt_to_ppt</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-afd3030f-43ac-482b-9f65-655028a05dfc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-afd3030f-43ac-482b-9f65-655028a05dfc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-388d68a3-6e87-40d9-a233-1ad802f0c44e' class='xr-var-data-in' type='checkbox'><label for='data-388d68a3-6e87-40d9-a233-1ad802f0c44e' 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>Convert Salt in gram/gram to g/kg</dd></dl></div><div class='xr-var-data'><pre>array(1000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_ice_salinity</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d801de45-9a44-4937-8016-fc72a527b954' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d801de45-9a44-4937-8016-fc72a527b954' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab77e3d4-92af-4896-b060-5d2a9e3c8d72' class='xr-var-data-in' type='checkbox'><label for='data-ab77e3d4-92af-4896-b060-5d2a9e3c8d72' 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>Salinity of Sea Ice</dd><dt><span>units :</span></dt><dd>g/kg</dd></dl></div><div class='xr-var-data'><pre>array(4.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sflux_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4d7c3201-7bf9-4656-aa40-70447a1b95ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d7c3201-7bf9-4656-aa40-70447a1b95ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96e87a81-1eb1-453d-b4f5-fe7c2b939b19' class='xr-var-data-in' type='checkbox'><label for='data-96e87a81-1eb1-453d-b4f5-fe7c2b939b19' 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>Convert Salt Flux to Salt Flux (in model units)</dd></dl></div><div class='xr-var-data'><pre>array(0.1)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sound</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fc9eb6cc-45ef-42f9-a267-fd69aa42f63b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc9eb6cc-45ef-42f9-a267-fd69aa42f63b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c592faee-8f31-492d-a33c-6e871a3f22cd' class='xr-var-data-in' type='checkbox'><label for='data-c592faee-8f31-492d-a33c-6e871a3f22cd' 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>Speed of Sound</dd><dt><span>units :</span></dt><dd>centimeter/s</dd></dl></div><div class='xr-var-data'><pre>array(150000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stefan_boltzmann</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2b04ea75-eb5a-4881-ab0c-b177efdcb024' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b04ea75-eb5a-4881-ab0c-b177efdcb024' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d13f0e4a-37c2-46a2-928c-ecb6fa30810a' class='xr-var-data-in' type='checkbox'><label for='data-d13f0e4a-37c2-46a2-928c-ecb6fa30810a' 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>Stefan-Boltzmann Constant</dd><dt><span>units :</span></dt><dd>watt/m^2/degK^4</dd></dl></div><div class='xr-var-data'><pre>array(5.67e-08)</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'>2006-01-02 00:00:00 ... 2051-01-...</div><input id='attrs-6e99cdf3-4748-4d9f-9b67-d5d545219b76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e99cdf3-4748-4d9f-9b67-d5d545219b76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a27b8487-e106-4d13-b0d0-cec526250b1e' class='xr-var-data-in' type='checkbox'><label for='data-a27b8487-e106-4d13-b0d0-cec526250b1e' 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_bound</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2006, 1, 2, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2006, 1, 3, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2006, 1, 4, 0, 0, 0, 0, has_year_zero=True), ...,\n",
       "       cftime.DatetimeNoLeap(2050, 12, 30, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2050, 12, 31, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2051, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vonkar</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dafe3abd-efb1-4c94-be66-43c45fbef116' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dafe3abd-efb1-4c94-be66-43c45fbef116' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd4b9b41-efe6-4ecc-b64a-9334fb7df011' class='xr-var-data-in' type='checkbox'><label for='data-bd4b9b41-efe6-4ecc-b64a-9334fb7df011' 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>von Karman Constant</dd></dl></div><div class='xr-var-data'><pre>array(0.4)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z_t</span></div><div class='xr-var-dims'>(z_t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>500.0 1.5e+03 ... 5.875e+05</div><input id='attrs-beb5741f-e2b1-46e9-b49c-bd8cd58c202d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-beb5741f-e2b1-46e9-b49c-bd8cd58c202d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bdf1ce11-22c0-4001-a98f-2fc06eaf7920' class='xr-var-data-in' type='checkbox'><label for='data-bdf1ce11-22c0-4001-a98f-2fc06eaf7920' 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>depth from surface to midpoint of layer</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>units :</span></dt><dd>centimeters</dd><dt><span>valid_max :</span></dt><dd>587499.0625</dd><dt><span>valid_min :</span></dt><dd>500.0</dd></dl></div><div class='xr-var-data'><pre>array([5.000000e+02, 1.500000e+03, 2.500000e+03, 3.500000e+03, 4.500000e+03,\n",
       "       5.500000e+03, 6.500000e+03, 7.500000e+03, 8.500000e+03, 9.500000e+03,\n",
       "       1.050000e+04, 1.150000e+04, 1.250000e+04, 1.350000e+04, 1.450000e+04,\n",
       "       1.550000e+04, 1.650984e+04, 1.754790e+04, 1.862913e+04, 1.976603e+04,\n",
       "       2.097114e+04, 2.225783e+04, 2.364088e+04, 2.513702e+04, 2.676542e+04,\n",
       "       2.854837e+04, 3.051192e+04, 3.268680e+04, 3.510935e+04, 3.782276e+04,\n",
       "       4.087846e+04, 4.433777e+04, 4.827367e+04, 5.277280e+04, 5.793729e+04,\n",
       "       6.388626e+04, 7.075633e+04, 7.870025e+04, 8.788252e+04, 9.847059e+04,\n",
       "       1.106204e+05, 1.244567e+05, 1.400497e+05, 1.573946e+05, 1.764003e+05,\n",
       "       1.968944e+05, 2.186457e+05, 2.413972e+05, 2.649001e+05, 2.889385e+05,\n",
       "       3.133405e+05, 3.379793e+05, 3.627670e+05, 3.876452e+05, 4.125768e+05,\n",
       "       4.375392e+05, 4.625190e+05, 4.875083e+05, 5.125028e+05, 5.375000e+05,\n",
       "       5.624991e+05, 5.874991e+05], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z_t_150m</span></div><div class='xr-var-dims'>(z_t_150m)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>500.0 1.5e+03 ... 1.35e+04 1.45e+04</div><input id='attrs-d09b9c43-c79b-44a9-9753-7aaaf52a1fd8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d09b9c43-c79b-44a9-9753-7aaaf52a1fd8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c6f3eb4-1d10-4cac-85a9-338431eb0b1a' class='xr-var-data-in' type='checkbox'><label for='data-2c6f3eb4-1d10-4cac-85a9-338431eb0b1a' 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>depth from surface to midpoint of layer</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>units :</span></dt><dd>centimeters</dd><dt><span>valid_max :</span></dt><dd>14500.0</dd><dt><span>valid_min :</span></dt><dd>500.0</dd></dl></div><div class='xr-var-data'><pre>array([  500.,  1500.,  2500.,  3500.,  4500.,  5500.,  6500.,  7500.,  8500.,\n",
       "        9500., 10500., 11500., 12500., 13500., 14500.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z_w</span></div><div class='xr-var-dims'>(z_w)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 1e+03 ... 5.5e+05 5.75e+05</div><input id='attrs-ebb9ebdb-471c-4ebf-9d08-0d1b65923b20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebb9ebdb-471c-4ebf-9d08-0d1b65923b20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-042ca960-01ba-446e-8ca6-3c3eef535f6b' class='xr-var-data-in' type='checkbox'><label for='data-042ca960-01ba-446e-8ca6-3c3eef535f6b' 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>depth from surface to top of layer</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>units :</span></dt><dd>centimeters</dd><dt><span>valid_max :</span></dt><dd>574999.0625</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([     0.   ,   1000.   ,   2000.   ,   3000.   ,   4000.   ,   5000.   ,\n",
       "         6000.   ,   7000.   ,   8000.   ,   9000.   ,  10000.   ,  11000.   ,\n",
       "        12000.   ,  13000.   ,  14000.   ,  15000.   ,  16000.   ,  17019.682,\n",
       "        18076.129,  19182.125,  20349.932,  21592.344,  22923.312,  24358.453,\n",
       "        25915.58 ,  27615.26 ,  29481.47 ,  31542.373,  33831.227,  36387.473,\n",
       "        39258.047,  42498.887,  46176.656,  50370.688,  55174.91 ,  60699.668,\n",
       "        67072.86 ,  74439.805,  82960.695,  92804.35 , 104136.82 , 117104.016,\n",
       "       131809.36 , 148290.08 , 166499.2  , 186301.44 , 207487.39 , 229803.9  ,\n",
       "       252990.4  , 276809.84 , 301067.06 , 325613.84 , 350344.88 , 375189.2  ,\n",
       "       400101.16 , 425052.47 , 450026.06 , 475012.   , 500004.7  , 525000.94 ,\n",
       "       549999.06 , 574999.06 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z_w_bot</span></div><div class='xr-var-dims'>(z_w_bot)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1e+03 2e+03 ... 5.75e+05 6e+05</div><input id='attrs-7aef6e47-b452-42ef-ab8e-2e5187164b88' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7aef6e47-b452-42ef-ab8e-2e5187164b88' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b674779b-3b9c-4947-816b-7536c678b26e' class='xr-var-data-in' type='checkbox'><label for='data-b674779b-3b9c-4947-816b-7536c678b26e' 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>depth from surface to bottom of layer</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>units :</span></dt><dd>centimeters</dd><dt><span>valid_max :</span></dt><dd>599999.0625</dd><dt><span>valid_min :</span></dt><dd>1000.0</dd></dl></div><div class='xr-var-data'><pre>array([  1000.   ,   2000.   ,   3000.   ,   4000.   ,   5000.   ,   6000.   ,\n",
       "         7000.   ,   8000.   ,   9000.   ,  10000.   ,  11000.   ,  12000.   ,\n",
       "        13000.   ,  14000.   ,  15000.   ,  16000.   ,  17019.682,  18076.129,\n",
       "        19182.125,  20349.932,  21592.344,  22923.312,  24358.453,  25915.58 ,\n",
       "        27615.26 ,  29481.47 ,  31542.373,  33831.227,  36387.473,  39258.047,\n",
       "        42498.887,  46176.656,  50370.688,  55174.91 ,  60699.668,  67072.86 ,\n",
       "        74439.805,  82960.695,  92804.35 , 104136.82 , 117104.016, 131809.36 ,\n",
       "       148290.08 , 166499.2  , 186301.44 , 207487.39 , 229803.9  , 252990.4  ,\n",
       "       276809.84 , 301067.06 , 325613.84 , 350344.88 , 375189.2  , 400101.16 ,\n",
       "       425052.47 , 450026.06 , 475012.   , 500004.7  , 525000.94 , 549999.06 ,\n",
       "       574999.06 , 599999.06 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z_w_top</span></div><div class='xr-var-dims'>(z_w_top)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 1e+03 ... 5.5e+05 5.75e+05</div><input id='attrs-9526cb94-999c-4f51-a946-621730cd75bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9526cb94-999c-4f51-a946-621730cd75bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-698ad2e1-2ebd-4d07-b4cf-837c6de3729e' class='xr-var-data-in' type='checkbox'><label for='data-698ad2e1-2ebd-4d07-b4cf-837c6de3729e' 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>depth from surface to top of layer</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>units :</span></dt><dd>centimeters</dd><dt><span>valid_max :</span></dt><dd>574999.0625</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([     0.   ,   1000.   ,   2000.   ,   3000.   ,   4000.   ,   5000.   ,\n",
       "         6000.   ,   7000.   ,   8000.   ,   9000.   ,  10000.   ,  11000.   ,\n",
       "        12000.   ,  13000.   ,  14000.   ,  15000.   ,  16000.   ,  17019.682,\n",
       "        18076.129,  19182.125,  20349.932,  21592.344,  22923.312,  24358.453,\n",
       "        25915.58 ,  27615.26 ,  29481.47 ,  31542.373,  33831.227,  36387.473,\n",
       "        39258.047,  42498.887,  46176.656,  50370.688,  55174.91 ,  60699.668,\n",
       "        67072.86 ,  74439.805,  82960.695,  92804.35 , 104136.82 , 117104.016,\n",
       "       131809.36 , 148290.08 , 166499.2  , 186301.44 , 207487.39 , 229803.9  ,\n",
       "       252990.4  , 276809.84 , 301067.06 , 325613.84 , 350344.88 , 375189.2  ,\n",
       "       400101.16 , 425052.47 , 450026.06 , 475012.   , 500004.7  , 525000.94 ,\n",
       "       549999.06 , 574999.06 ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0001afe5-6039-469f-af2d-f1ed46eba242' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0001afe5-6039-469f-af2d-f1ed46eba242' class='xr-section-summary' >Data variables: <span>(9)</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>SHF_2</span></div><div class='xr-var-dims'>(time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-b9c248d5-aa52-4cbf-a7e1-ab53ffbae9f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9c248d5-aa52-4cbf-a7e1-ab53ffbae9f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0aa7ce0-1975-4e9f-9489-4dfa44e4ed03' class='xr-var-data-in' type='checkbox'><label for='data-f0aa7ce0-1975-4e9f-9489-4dfa44e4ed03' 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>grid_loc :</span></dt><dd>2110</dd><dt><span>long_name :</span></dt><dd>Total Surface Heat Flux, Including SW</dd><dt><span>units :</span></dt><dd>watt/m^2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 527.89 GiB </td>\n",
       "                        <td> 32.96 MiB </td>\n",
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       "                    \n",
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       "                        <th> Shape </th>\n",
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       "                        <td> (1, 2400, 3600) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 16401 Chunks </td>\n",
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       "                    <td> float32 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SSH_2</span></div><div class='xr-var-dims'>(time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-ebd904e5-6b5a-49a8-ba6e-2722118c673e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebd904e5-6b5a-49a8-ba6e-2722118c673e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93d556c4-d31b-4db1-ae99-36aa8a473953' class='xr-var-data-in' type='checkbox'><label for='data-93d556c4-d31b-4db1-ae99-36aa8a473953' 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>grid_loc :</span></dt><dd>2110</dd><dt><span>long_name :</span></dt><dd>Sea Surface Height</dd><dt><span>units :</span></dt><dd>centimeter</dd></dl></div><div class='xr-var-data'><table>\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>U2_2</span></div><div class='xr-var-dims'>(time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-c841031c-654e-42a3-ac53-0d570b334b65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c841031c-654e-42a3-ac53-0d570b334b65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af7a50b3-6ef6-494d-802f-65ba8e8cc3c8' class='xr-var-data-in' type='checkbox'><label for='data-af7a50b3-6ef6-494d-802f-65ba8e8cc3c8' 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>grid_loc :</span></dt><dd>2221</dd><dt><span>long_name :</span></dt><dd>Zonal Velocity lvls 2-2</dd><dt><span>units :</span></dt><dd>centimeter/s</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 527.89 GiB </td>\n",
       "                        <td> 32.96 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (1, 2400, 3600) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 16401 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>V1_1</span></div><div class='xr-var-dims'>(time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-6ecefc12-a3db-4812-a2d3-a4650b9dc47a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ecefc12-a3db-4812-a2d3-a4650b9dc47a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfa7f08e-591f-4e6f-afc0-2ac8006172d1' class='xr-var-data-in' type='checkbox'><label for='data-bfa7f08e-591f-4e6f-afc0-2ac8006172d1' 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>grid_loc :</span></dt><dd>2221</dd><dt><span>long_name :</span></dt><dd>Meridional Velocity lvls 1-1</dd><dt><span>units :</span></dt><dd>centimeter/s</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <th> Bytes </th>\n",
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      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:             (nlat: 2400, nlon: 3600, time: 16401, z_t: 62, z_w: 62,\n",
       "                         z_t_150m: 15, z_w_bot: 62, z_w_top: 62)\n",
       "Coordinates: (12/59)\n",
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       "    DYU                 (nlat, nlon) float64 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    ...                  ...\n",
       "    vonkar              float64 ...\n",
       "  * z_t                 (z_t) float32 500.0 1.5e+03 ... 5.625e+05 5.875e+05\n",
       "  * z_t_150m            (z_t_150m) float32 500.0 1.5e+03 ... 1.35e+04 1.45e+04\n",
       "  * z_w                 (z_w) float32 0.0 1e+03 2e+03 ... 5.5e+05 5.75e+05\n",
       "  * z_w_bot             (z_w_bot) float32 1e+03 2e+03 3e+03 ... 5.75e+05 6e+05\n",
       "  * z_w_top             (z_w_top) float32 0.0 1e+03 2e+03 ... 5.5e+05 5.75e+05\n",
       "Dimensions without coordinates: nlat, nlon\n",
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       "    SSH_2               (time, nlat, nlon) float32 dask.array<chunksize=(1, 2400, 3600), meta=np.ndarray>\n",
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       "Attributes:\n",
       "    Conventions:   CF-1.0; http://www.cgd.ucar.edu/cms/eaton/netcdf/CF-curren...\n",
       "    calendar:      All years have exactly  365 days.\n",
       "    cell_methods:  cell_methods = time: mean ==> the variable values are aver...\n",
       "    contents:      Diagnostic and Prognostic Variables\n",
       "    history:       none\n",
       "    nsteps_total:  3535200\n",
       "    revision:      $Id: tavg.F90 56176 2013-12-20 18:35:46Z mlevy@ucar.edu $\n",
       "    source:        CCSM POP2, the CCSM Ocean Component\n",
       "    start_time:    This dataset was created on 2016-05-17 at 03:29:14.8\n",
       "    tavg_sum:      86399.99999999999\n",
       "    title:         BRCP85C5CN_ne120_t12_pop62.c13b17.asdphys.001"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#loading data\n",
    "cat = open_catalog(\"https://raw.githubusercontent.com/pangeo-data/pangeo-datastore/master/intake-catalogs/ocean/CESM_POP.yaml\")\n",
    "ds = cat['CESM_POP_hires_RCP8_5'].to_dask()\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "38db23c9-b2f9-4c72-ae57-d246589b734f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['area', 'wet_mask']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#See the fields needed to apply the filter:\n",
    "gcm_filters.required_grid_vars(gcm_filters.GridType.TRIPOLAR_REGULAR_WITH_LAND_AREA_WEIGHTED)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "fb830ab2-be0d-46fa-ba8b-819df4df3851",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create fields needed to apply the filter: wet mask and area\n",
    "wet_mask = xr.where(ds['KMT']>0, 1, 0)\n",
    "wet_mask.plot(figsize=(10,6), cbar_kwargs={'label': ''});\n",
    "\n",
    "area = ds.TAREA / 10000  # convert units from cm2 to m2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fe79be3d-7b33-49f0-a837-db07dd1519ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;SSH_2&#x27; (time: 16401, nlat: 2400, nlon: 3600)&gt;\n",
       "dask.array&lt;where, shape=(16401, 2400, 3600), dtype=float32, chunksize=(1, 2400, 3600), chunktype=numpy.ndarray&gt;\n",
       "Coordinates: (12/52)\n",
       "    ANGLE               (nlat, nlon) float64 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    ANGLET              (nlat, nlon) float64 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    DXT                 (nlat, nlon) float64 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    DXU                 (nlat, nlon) float64 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    DYT                 (nlat, nlon) float64 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    DYU                 (nlat, nlon) float64 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    ...                  ...\n",
       "    sea_ice_salinity    float64 4.0\n",
       "    sflux_factor        float64 0.1\n",
       "    sound               float64 1.5e+05\n",
       "    stefan_boltzmann    float64 5.67e-08\n",
       "  * time                (time) object 2006-01-02 00:00:00 ... 2051-01-01 00:0...\n",
       "    vonkar              float64 0.4\n",
       "Dimensions without coordinates: nlat, nlon\n",
       "Attributes:\n",
       "    cell_methods:  time: mean\n",
       "    grid_loc:      2110\n",
       "    long_name:     Sea Surface Height\n",
       "    units:         centimeter</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'SSH_2'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 16401</li><li><span>nlat</span>: 2400</li><li><span>nlon</span>: 3600</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c4a18048-8007-44c9-bc03-de0429145bbc' class='xr-array-in' type='checkbox' checked><label for='section-c4a18048-8007-44c9-bc03-de0429145bbc' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 2400, 3600), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 527.89 GiB </td>\n",
       "                        <td> 32.96 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (16401, 2400, 3600) </td>\n",
       "                        <td> (1, 2400, 3600) </td>\n",
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       "                    <tr>\n",
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       "                        <td> 7 Graph Layers </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ANGLET</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-3831ab3c-301b-40ad-a382-7ba4b822eb7e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3831ab3c-301b-40ad-a382-7ba4b822eb7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a990e2ac-6b38-4f1f-b700-dc0fe5a03142' class='xr-var-data-in' type='checkbox'><label for='data-a990e2ac-6b38-4f1f-b700-dc0fe5a03142' 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>angle grid makes with latitude line on T grid</dd><dt><span>units :</span></dt><dd>radians</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DXT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-89decc09-853e-403c-aab9-d0d3fdfbc111' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89decc09-853e-403c-aab9-d0d3fdfbc111' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a325a21-015c-420f-bcda-10aa876cdd3f' class='xr-var-data-in' type='checkbox'><label for='data-4a325a21-015c-420f-bcda-10aa876cdd3f' 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>x-spacing centered at T points</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DXU</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-5a145473-8a10-4226-ad82-02d4a7640de7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a145473-8a10-4226-ad82-02d4a7640de7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12cda39f-adff-48c5-8092-3dd14ac6290d' class='xr-var-data-in' type='checkbox'><label for='data-12cda39f-adff-48c5-8092-3dd14ac6290d' 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>x-spacing centered at U points</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DYT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-cff1e838-1058-40a7-967e-7f650fc4cdca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cff1e838-1058-40a7-967e-7f650fc4cdca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b73f317-34bd-45ea-b0f2-87f15e12ca60' class='xr-var-data-in' type='checkbox'><label for='data-4b73f317-34bd-45ea-b0f2-87f15e12ca60' 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>y-spacing centered at T points</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DYU</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-ca2bbaa5-2271-41c6-8361-beec76bf607e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca2bbaa5-2271-41c6-8361-beec76bf607e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-afa04213-11ad-47fd-8339-a101dd06e5ab' class='xr-var-data-in' type='checkbox'><label for='data-afa04213-11ad-47fd-8339-a101dd06e5ab' 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>y-spacing centered at U points</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-2ae78da5-b0a8-4b81-83a0-34cca55ce614' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ae78da5-b0a8-4b81-83a0-34cca55ce614' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1dfc0706-ed80-4ebe-b862-16765e08af5e' class='xr-var-data-in' type='checkbox'><label for='data-1dfc0706-ed80-4ebe-b862-16765e08af5e' 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>ocean depth at T points</dd><dt><span>units :</span></dt><dd>centimeter</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HTE</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-5b156e7a-8ade-479c-b6f3-e155d950521a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b156e7a-8ade-479c-b6f3-e155d950521a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f066c46-440a-4fa4-aa91-2f87d4313957' class='xr-var-data-in' type='checkbox'><label for='data-3f066c46-440a-4fa4-aa91-2f87d4313957' 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>cell widths on East sides of T cell</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HTN</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-23cba94c-1ad0-4bd9-a959-0f0d53ff4876' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23cba94c-1ad0-4bd9-a959-0f0d53ff4876' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e80511b1-577f-4c92-9ab5-2c1c5649aa5f' class='xr-var-data-in' type='checkbox'><label for='data-e80511b1-577f-4c92-9ab5-2c1c5649aa5f' 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>cell widths on North sides of T cell</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HU</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-5251d54f-8ec1-4c26-a7ca-44c1a06bbb09' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5251d54f-8ec1-4c26-a7ca-44c1a06bbb09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c255519-638a-4c12-87c9-0ec0da617eba' class='xr-var-data-in' type='checkbox'><label for='data-1c255519-638a-4c12-87c9-0ec0da617eba' 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>ocean depth at U points</dd><dt><span>units :</span></dt><dd>centimeter</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HUS</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-da1c00be-6304-44ca-bd46-9375111d32f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da1c00be-6304-44ca-bd46-9375111d32f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0c63a12-12d4-4f5e-a496-abe80480b75c' class='xr-var-data-in' type='checkbox'><label for='data-a0c63a12-12d4-4f5e-a496-abe80480b75c' 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>cell widths on South sides of U cell</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HUW</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-ce6c3207-38d9-4033-ae01-dd21d0d06727' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce6c3207-38d9-4033-ae01-dd21d0d06727' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e94f6378-121e-4af7-aa36-d26ce04ed815' class='xr-var-data-in' type='checkbox'><label for='data-e94f6378-121e-4af7-aa36-d26ce04ed815' 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>cell widths on West sides of U cell</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>KMT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-c683b4bd-1370-4f82-82ef-23793321c955' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c683b4bd-1370-4f82-82ef-23793321c955' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a558aa38-4eb1-48b1-b523-1cd6ab4d6c43' class='xr-var-data-in' type='checkbox'><label for='data-a558aa38-4eb1-48b1-b523-1cd6ab4d6c43' 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>k Index of Deepest Grid Cell on T Grid</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>KMU</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-4c0b0fc6-26fb-429d-9190-7202b2264e0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c0b0fc6-26fb-429d-9190-7202b2264e0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d122d6b-7c3f-4a60-9aa2-30c0b0a9d966' class='xr-var-data-in' type='checkbox'><label for='data-3d122d6b-7c3f-4a60-9aa2-30c0b0a9d966' 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>k Index of Deepest Grid Cell on U Grid</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\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>REGION_MASK</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-300cb80f-b587-498c-b4c1-6c137ecfdebb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-300cb80f-b587-498c-b4c1-6c137ecfdebb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0369ea57-f431-434f-bfc2-539c5fa9dab1' class='xr-var-data-in' type='checkbox'><label for='data-0369ea57-f431-434f-bfc2-539c5fa9dab1' 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>basin index number (signed integers)</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\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>T0_Kelvin</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>273.1</div><input id='attrs-2c090dd0-9887-4ba0-a665-85103317b6d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c090dd0-9887-4ba0-a665-85103317b6d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46e4f489-67e6-416e-9363-8631c19f4b54' class='xr-var-data-in' type='checkbox'><label for='data-46e4f489-67e6-416e-9363-8631c19f4b54' 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>Zero Point for Celsius</dd><dt><span>units :</span></dt><dd>degK</dd></dl></div><div class='xr-var-data'><pre>array(273.15)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TAREA</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-006d9122-1df2-4c96-8361-d128f5970148' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-006d9122-1df2-4c96-8361-d128f5970148' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc632d87-464f-4cce-ad65-adaa11263a6a' class='xr-var-data-in' type='checkbox'><label for='data-fc632d87-464f-4cce-ad65-adaa11263a6a' 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>area of T cells</dd><dt><span>units :</span></dt><dd>centimeter^2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\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>TLAT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-cd7a3643-bb28-414f-9bf1-08d558b79bcf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd7a3643-bb28-414f-9bf1-08d558b79bcf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c32d5163-b062-4802-bd1e-b0cd70283740' class='xr-var-data-in' type='checkbox'><label for='data-c32d5163-b062-4802-bd1e-b0cd70283740' 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>array of t-grid latitudes</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TLONG</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-539c9d95-3158-448e-8e28-dda6476651de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-539c9d95-3158-448e-8e28-dda6476651de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35308f2e-7827-41b2-b8f0-4237e7362b16' class='xr-var-data-in' type='checkbox'><label for='data-35308f2e-7827-41b2-b8f0-4237e7362b16' 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>array of t-grid longitudes</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UAREA</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-2de4c57a-ab76-4f6f-b606-fe9079f5cb74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2de4c57a-ab76-4f6f-b606-fe9079f5cb74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73a749d2-399a-4c5b-9f9d-5ac37fd5e0c6' class='xr-var-data-in' type='checkbox'><label for='data-73a749d2-399a-4c5b-9f9d-5ac37fd5e0c6' 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>area of U cells</dd><dt><span>units :</span></dt><dd>centimeter^2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
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       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ULAT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-2e23534d-c8c8-45d4-9dfd-3ae30b0b97e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e23534d-c8c8-45d4-9dfd-3ae30b0b97e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81613d6e-2bdb-4e0b-a86a-81462a58e078' class='xr-var-data-in' type='checkbox'><label for='data-81613d6e-2bdb-4e0b-a86a-81462a58e078' 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>array of u-grid latitudes</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ULONG</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-269a2f32-6efb-48d2-86a8-46e757de63c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-269a2f32-6efb-48d2-86a8-46e757de63c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a3e084a-248e-45d6-bc4a-456e9ce68948' class='xr-var-data-in' type='checkbox'><label for='data-6a3e084a-248e-45d6-bc4a-456e9ce68948' 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>array of u-grid longitudes</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\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>cp_air</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.005e+03</div><input id='attrs-255e469d-16ff-4ef2-bb16-bb51317fb02e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-255e469d-16ff-4ef2-bb16-bb51317fb02e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6e29a0d-2f9d-4059-8a06-28de9037a374' class='xr-var-data-in' type='checkbox'><label for='data-d6e29a0d-2f9d-4059-8a06-28de9037a374' 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>Heat Capacity of Air</dd><dt><span>units :</span></dt><dd>joule/kg/degK</dd></dl></div><div class='xr-var-data'><pre>array(1004.64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cp_sw</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.996e+07</div><input id='attrs-ee8a14d2-439e-4db6-84e4-ce8f89c0a8ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee8a14d2-439e-4db6-84e4-ce8f89c0a8ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec95de12-3b45-48a3-a25e-835c35396007' class='xr-var-data-in' type='checkbox'><label for='data-ec95de12-3b45-48a3-a25e-835c35396007' 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>Specific Heat of Sea Water</dd><dt><span>units :</span></dt><dd>erg/g/K</dd></dl></div><div class='xr-var-data'><pre>array(39960000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>days_in_norm_year</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>365 days</div><input id='attrs-bba52e3c-4633-4553-9b5e-810aa66930e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bba52e3c-4633-4553-9b5e-810aa66930e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ba22009-f06f-4253-a992-1f6ab19f3043' class='xr-var-data-in' type='checkbox'><label for='data-4ba22009-f06f-4253-a992-1f6ab19f3043' 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>Calendar Length</dd></dl></div><div class='xr-var-data'><pre>array(31536000000000000, dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fwflux_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0001</div><input id='attrs-ee8b42e0-638b-40a9-98b5-14bd9c043fd2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee8b42e0-638b-40a9-98b5-14bd9c043fd2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0842371-7976-4491-80a4-f50b5393a5ae' class='xr-var-data-in' type='checkbox'><label for='data-b0842371-7976-4491-80a4-f50b5393a5ae' 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>Convert Net Fresh Water Flux to Salt Flux (in model units)</dd></dl></div><div class='xr-var-data'><pre>array(0.0001)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>grav</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>980.6</div><input id='attrs-cf172f52-77ed-4540-ade4-6244ee3e8264' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf172f52-77ed-4540-ade4-6244ee3e8264' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48575660-f101-43f5-8631-33e79d2cdc91' class='xr-var-data-in' type='checkbox'><label for='data-48575660-f101-43f5-8631-33e79d2cdc91' 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>Acceleration Due to Gravity</dd><dt><span>units :</span></dt><dd>centimeter/s^2</dd></dl></div><div class='xr-var-data'><pre>array(980.616)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heat_to_PW</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.186e-15</div><input id='attrs-0ab2fd3c-cdc4-4ed5-8855-8679b8eeeed4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ab2fd3c-cdc4-4ed5-8855-8679b8eeeed4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0cb2bcaf-fdd3-4146-b67a-46862e4f613f' class='xr-var-data-in' type='checkbox'><label for='data-0cb2bcaf-fdd3-4146-b67a-46862e4f613f' 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>Convert Heat Flux to Petawatts</dd></dl></div><div class='xr-var-data'><pre>array(4.186e-15)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hflux_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.439e-05</div><input id='attrs-df1159f1-2d05-4b19-bbc5-f8bdf393bd1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df1159f1-2d05-4b19-bbc5-f8bdf393bd1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01c1d813-cc15-44d9-8f0e-954351daa42b' class='xr-var-data-in' type='checkbox'><label for='data-01c1d813-cc15-44d9-8f0e-954351daa42b' 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>Convert Heat and Solar Flux to Temperature Flux</dd></dl></div><div class='xr-var-data'><pre>array(2.43908626e-05)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latent_heat_fusion</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.337e+09</div><input id='attrs-931828a8-6e91-44f4-b536-d416abc59b67' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-931828a8-6e91-44f4-b536-d416abc59b67' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-334de35a-76c8-49aa-ae9d-4d7b65c97eb0' class='xr-var-data-in' type='checkbox'><label for='data-334de35a-76c8-49aa-ae9d-4d7b65c97eb0' 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>Latent Heat of Fusion</dd><dt><span>units :</span></dt><dd>erg/g</dd></dl></div><div class='xr-var-data'><pre>array(3.337e+09)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latent_heat_vapor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.501e+06</div><input id='attrs-f15df2de-01fe-4855-bd8b-d58464962549' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f15df2de-01fe-4855-bd8b-d58464962549' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e797de34-993d-4c9e-a543-d72c891c04f7' class='xr-var-data-in' type='checkbox'><label for='data-e797de34-993d-4c9e-a543-d72c891c04f7' 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>Latent Heat of Vaporization</dd><dt><span>units :</span></dt><dd>J/kg</dd></dl></div><div class='xr-var-data'><pre>array(2501000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mass_to_Sv</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e-12</div><input id='attrs-a3e7a9d3-7995-4fdd-99c7-62c9d9ccf13a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3e7a9d3-7995-4fdd-99c7-62c9d9ccf13a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e68717b-0c76-45ad-833e-60fa5d43c7f4' class='xr-var-data-in' type='checkbox'><label for='data-8e68717b-0c76-45ad-833e-60fa5d43c7f4' 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>Convert Mass Flux to Sverdrups</dd></dl></div><div class='xr-var-data'><pre>array(1.e-12)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>momentum_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0</div><input id='attrs-b2eaffaf-0056-4a6d-b73c-b5765b72abe3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2eaffaf-0056-4a6d-b73c-b5765b72abe3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ff80b8f-3eab-49c4-890f-4a5fa72b0f86' class='xr-var-data-in' type='checkbox'><label for='data-4ff80b8f-3eab-49c4-890f-4a5fa72b0f86' 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>Convert Windstress to Velocity Flux</dd></dl></div><div class='xr-var-data'><pre>array(10.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nsurface_t</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.413e+06</div><input id='attrs-a4cfc303-2bf7-4f2c-b4b4-83cfd851ad5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4cfc303-2bf7-4f2c-b4b4-83cfd851ad5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2d39724-c637-4cfe-ade5-d7a5740ad3df' class='xr-var-data-in' type='checkbox'><label for='data-e2d39724-c637-4cfe-ade5-d7a5740ad3df' 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>Number of Ocean T Points at Surface</dd></dl></div><div class='xr-var-data'><pre>array(5413142.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nsurface_u</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.372e+06</div><input id='attrs-bc850ce1-a491-4d09-a107-15b2f34dbd89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc850ce1-a491-4d09-a107-15b2f34dbd89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-541b30e0-b1c8-4633-bb8f-a78f94b8797a' class='xr-var-data-in' type='checkbox'><label for='data-541b30e0-b1c8-4633-bb8f-a78f94b8797a' 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>Number of Ocean U Points at Surface</dd></dl></div><div class='xr-var-data'><pre>array(5371534.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocn_ref_salinity</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>34.7</div><input id='attrs-1afa9933-0b77-479a-82e9-6ed0bdbcbe2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1afa9933-0b77-479a-82e9-6ed0bdbcbe2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d18480f1-3016-4174-b192-d2dbed2b0342' class='xr-var-data-in' type='checkbox'><label for='data-d18480f1-3016-4174-b192-d2dbed2b0342' 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>Ocean Reference Salinity</dd><dt><span>units :</span></dt><dd>g/kg</dd></dl></div><div class='xr-var-data'><pre>array(34.7)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>omega</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.292e-05</div><input id='attrs-b0344e06-3000-4a4b-a342-2c437947a3c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0344e06-3000-4a4b-a342-2c437947a3c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-140862ac-3523-4a17-acd9-c706cbb6bda1' class='xr-var-data-in' type='checkbox'><label for='data-140862ac-3523-4a17-acd9-c706cbb6bda1' 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>Earths Angular Velocity</dd><dt><span>units :</span></dt><dd>1/second</dd></dl></div><div class='xr-var-data'><pre>array(7.29212352e-05)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ppt_to_salt</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.001</div><input id='attrs-b4868450-00cd-4338-8372-14bc191ffd71' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4868450-00cd-4338-8372-14bc191ffd71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1018f804-fc7b-4c06-9cdb-f7fac5f582b8' class='xr-var-data-in' type='checkbox'><label for='data-1018f804-fc7b-4c06-9cdb-f7fac5f582b8' 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>Convert Salt in g/kg to gram/gram</dd></dl></div><div class='xr-var-data'><pre>array(0.001)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>radius</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.371e+08</div><input id='attrs-42f27aaa-1977-4369-a105-96a04c1c18a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42f27aaa-1977-4369-a105-96a04c1c18a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72d22b19-92bb-4bbb-9700-f32bec2b3b90' class='xr-var-data-in' type='checkbox'><label for='data-72d22b19-92bb-4bbb-9700-f32bec2b3b90' 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>Earths Radius</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><pre>array(6.37122e+08)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rho_air</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.292</div><input id='attrs-632e33af-467a-4555-88ab-481f383ef76d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-632e33af-467a-4555-88ab-481f383ef76d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac43ad79-b2aa-4125-9b8e-3526384d6324' class='xr-var-data-in' type='checkbox'><label for='data-ac43ad79-b2aa-4125-9b8e-3526384d6324' 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>Ambient Air Density</dd><dt><span>units :</span></dt><dd>kg/m^3</dd></dl></div><div class='xr-var-data'><pre>array(1.29231828)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rho_fw</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0</div><input id='attrs-fb328908-d8d9-41c0-8977-1479ea9d12e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb328908-d8d9-41c0-8977-1479ea9d12e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-124ad086-6d9e-4d61-8693-7d2fec6bce14' class='xr-var-data-in' type='checkbox'><label for='data-124ad086-6d9e-4d61-8693-7d2fec6bce14' 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>Density of Fresh Water</dd><dt><span>units :</span></dt><dd>gram/centimeter^3</dd></dl></div><div class='xr-var-data'><pre>array(1.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rho_sw</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.026</div><input id='attrs-326d4282-ad7f-423b-a32f-542f09d1a9c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-326d4282-ad7f-423b-a32f-542f09d1a9c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9936b117-42a4-4a32-a0d9-065d70bcde64' class='xr-var-data-in' type='checkbox'><label for='data-9936b117-42a4-4a32-a0d9-065d70bcde64' 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>Density of Sea Water</dd><dt><span>units :</span></dt><dd>gram/centimeter^3</dd></dl></div><div class='xr-var-data'><pre>array(1.026)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salinity_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.00347</div><input id='attrs-d5996566-e86c-46a8-a223-b5c1a09bab4a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d5996566-e86c-46a8-a223-b5c1a09bab4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c3f8a1e-35d3-44f2-8790-750d775bd9cd' class='xr-var-data-in' type='checkbox'><label for='data-9c3f8a1e-35d3-44f2-8790-750d775bd9cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(-0.00347)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt_to_Svppt</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e-09</div><input id='attrs-89a6b30a-5613-42a8-8350-91a314e1893f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89a6b30a-5613-42a8-8350-91a314e1893f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2aa081a2-7dea-44ac-904d-e8dea4680bee' class='xr-var-data-in' type='checkbox'><label for='data-2aa081a2-7dea-44ac-904d-e8dea4680bee' 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>Convert Salt Flux to Sverdrups*g/kg</dd></dl></div><div class='xr-var-data'><pre>array(1.e-09)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt_to_mmday</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.154e+05</div><input id='attrs-eeed113f-546f-4c67-94ca-351878de4e18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eeed113f-546f-4c67-94ca-351878de4e18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92ac89a0-7155-4217-8fa2-2e3edcf0c98a' class='xr-var-data-in' type='checkbox'><label for='data-92ac89a0-7155-4217-8fa2-2e3edcf0c98a' 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>Convert Salt to Water (millimeters/day)</dd></dl></div><div class='xr-var-data'><pre>array(315360.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt_to_ppt</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+03</div><input id='attrs-ff436816-a6a5-4402-b777-8798f59e557d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff436816-a6a5-4402-b777-8798f59e557d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1f9fdf6-5063-413d-a22a-7839e699e9a3' class='xr-var-data-in' type='checkbox'><label for='data-a1f9fdf6-5063-413d-a22a-7839e699e9a3' 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>Convert Salt in gram/gram to g/kg</dd></dl></div><div class='xr-var-data'><pre>array(1000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_ice_salinity</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.0</div><input id='attrs-f97ac682-2257-4a12-9a85-cb972be02534' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f97ac682-2257-4a12-9a85-cb972be02534' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-afc284ab-baca-456f-892c-3078f2aa496c' class='xr-var-data-in' type='checkbox'><label for='data-afc284ab-baca-456f-892c-3078f2aa496c' 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>Salinity of Sea Ice</dd><dt><span>units :</span></dt><dd>g/kg</dd></dl></div><div class='xr-var-data'><pre>array(4.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sflux_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1</div><input id='attrs-b61173dd-fbf8-4b34-9959-6c84e41c48e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b61173dd-fbf8-4b34-9959-6c84e41c48e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba67230e-5fce-4c26-8aec-3a64026f31e0' class='xr-var-data-in' type='checkbox'><label for='data-ba67230e-5fce-4c26-8aec-3a64026f31e0' 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>Convert Salt Flux to Salt Flux (in model units)</dd></dl></div><div class='xr-var-data'><pre>array(0.1)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sound</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.5e+05</div><input id='attrs-b4206d08-a8a5-42c9-8458-00e165118780' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4206d08-a8a5-42c9-8458-00e165118780' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1bef9fd2-d8e8-47b1-b168-c39d4d80e5ac' class='xr-var-data-in' type='checkbox'><label for='data-1bef9fd2-d8e8-47b1-b168-c39d4d80e5ac' 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>Speed of Sound</dd><dt><span>units :</span></dt><dd>centimeter/s</dd></dl></div><div class='xr-var-data'><pre>array(150000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stefan_boltzmann</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.67e-08</div><input id='attrs-de53e741-908d-4fdb-b7fa-cda43273df92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de53e741-908d-4fdb-b7fa-cda43273df92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06efc8a5-a12a-47f1-8aa4-d94ec828c64e' class='xr-var-data-in' type='checkbox'><label for='data-06efc8a5-a12a-47f1-8aa4-d94ec828c64e' 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>Stefan-Boltzmann Constant</dd><dt><span>units :</span></dt><dd>watt/m^2/degK^4</dd></dl></div><div class='xr-var-data'><pre>array(5.67e-08)</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'>2006-01-02 00:00:00 ... 2051-01-...</div><input id='attrs-0f56198c-c6f5-4637-9637-e384d483ceb0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f56198c-c6f5-4637-9637-e384d483ceb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-230ac6d2-fddd-44f9-b874-9ee3f7146b6d' class='xr-var-data-in' type='checkbox'><label for='data-230ac6d2-fddd-44f9-b874-9ee3f7146b6d' 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_bound</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2006, 1, 2, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2006, 1, 3, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2006, 1, 4, 0, 0, 0, 0, has_year_zero=True), ...,\n",
       "       cftime.DatetimeNoLeap(2050, 12, 30, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2050, 12, 31, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2051, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vonkar</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4</div><input id='attrs-6c2b1ab5-5823-4eb8-845a-712101513b7f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c2b1ab5-5823-4eb8-845a-712101513b7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8cbfb77-7fba-4af6-b9bd-6610151fe3ca' class='xr-var-data-in' type='checkbox'><label for='data-e8cbfb77-7fba-4af6-b9bd-6610151fe3ca' 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>von Karman Constant</dd></dl></div><div class='xr-var-data'><pre>array(0.4)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-50894dde-af72-46b8-970e-1b7dafca6ef5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-50894dde-af72-46b8-970e-1b7dafca6ef5' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>long_name :</span></dt><dd>Sea Surface Height</dd><dt><span>units :</span></dt><dd>centimeter</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'SSH_2' (time: 16401, nlat: 2400, nlon: 3600)>\n",
       "dask.array<where, shape=(16401, 2400, 3600), dtype=float32, chunksize=(1, 2400, 3600), chunktype=numpy.ndarray>\n",
       "Coordinates: (12/52)\n",
       "    ANGLE               (nlat, nlon) float64 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
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       "    DXT                 (nlat, nlon) float64 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    DXU                 (nlat, nlon) float64 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    DYT                 (nlat, nlon) float64 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    DYU                 (nlat, nlon) float64 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    ...                  ...\n",
       "    sea_ice_salinity    float64 4.0\n",
       "    sflux_factor        float64 0.1\n",
       "    sound               float64 1.5e+05\n",
       "    stefan_boltzmann    float64 5.67e-08\n",
       "  * time                (time) object 2006-01-02 00:00:00 ... 2051-01-01 00:0...\n",
       "    vonkar              float64 0.4\n",
       "Dimensions without coordinates: nlat, nlon\n",
       "Attributes:\n",
       "    cell_methods:  time: mean\n",
       "    grid_loc:      2110\n",
       "    long_name:     Sea Surface Height\n",
       "    units:         centimeter"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#This cell tells dask the chunk size in nlon and nlat dimension.\n",
    "wet_mask = wet_mask.chunk({'nlat': len(ds.nlat), 'nlon': len(ds.nlon)})  # 1 chunk\n",
    "area = area.chunk({'nlat': len(ds.nlat), 'nlon': len(ds.nlon)})  # 1 chunk\n",
    "\n",
    "ssh = ds.SSH_2.where(wet_mask)\n",
    "ssh = ssh.chunk({'nlat': len(ds.nlat), 'nlon': len(ds.nlon)})  # 1 chunk\n",
    "\n",
    "ssh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f0ed08d7-85e4-45f2-a727-cba278e93a77",
   "metadata": {},
   "outputs": [],
   "source": [
    "#filter specifications\n",
    "specs = {\n",
    "    'filter_scale': 10,\n",
    "    'dx_min': 1,\n",
    "    'filter_shape': gcm_filters.FilterShape.GAUSSIAN,\n",
    "    'grid_type': gcm_filters.GridType.TRIPOLAR_REGULAR_WITH_LAND_AREA_WEIGHTED\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "89c44817-2ac8-47c1-a34d-84a3eb56250a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Filter(filter_scale=10, dx_min=1, filter_shape=<FilterShape.GAUSSIAN: 1>, transition_width=3.141592653589793, ndim=2, n_steps=11, grid_type=<GridType.TRIPOLAR_REGULAR_WITH_LAND_AREA_WEIGHTED: 8>)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#create the filter\n",
    "filter_ssh = gcm_filters.Filter(grid_vars={'area': area, 'wet_mask': wet_mask}, **specs)\n",
    "filter_ssh\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "27ca06a4-476e-4eb3-ae78-63b44fa71d5e",
   "metadata": {},
   "outputs": [
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       "    DXU                 (nlat, nlon) float64 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    DYT                 (nlat, nlon) float64 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    DYU                 (nlat, nlon) float64 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    ...                  ...\n",
       "    sea_ice_salinity    float64 4.0\n",
       "    sflux_factor        float64 0.1\n",
       "    sound               float64 1.5e+05\n",
       "    stefan_boltzmann    float64 5.67e-08\n",
       "  * time                (time) object 2006-01-02 00:00:00 ... 2051-01-01 00:0...\n",
       "    vonkar              float64 0.4\n",
       "Dimensions without coordinates: nlat, nlon</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 16401</li><li><span>nlat</span>: 2400</li><li><span>nlon</span>: 3600</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e7a0a35d-dba6-43e6-a0cd-6e11aaf26a43' class='xr-array-in' type='checkbox' checked><label for='section-e7a0a35d-dba6-43e6-a0cd-6e11aaf26a43' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 2400, 3600), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 527.89 GiB </td>\n",
       "                        <td> 32.96 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (16401, 2400, 3600) </td>\n",
       "                        <td> (1, 2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 13 Graph Layers </td>\n",
       "                        <td> 16401 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
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       "</table></div></div></li><li class='xr-section-item'><input id='section-88596f23-67f6-470c-a3c2-5413afe3e327' class='xr-section-summary-in' type='checkbox'  ><label for='section-88596f23-67f6-470c-a3c2-5413afe3e327' class='xr-section-summary' >Coordinates: <span>(52)</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>ANGLE</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-384a9f4a-68d1-4fbe-8898-5c74e1c56c43' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-384a9f4a-68d1-4fbe-8898-5c74e1c56c43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e789348-e010-43e6-b36a-b230e0e8843d' class='xr-var-data-in' type='checkbox'><label for='data-3e789348-e010-43e6-b36a-b230e0e8843d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ANGLET</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-cd884b6f-10c7-4c47-82b8-050240fc6ded' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cd884b6f-10c7-4c47-82b8-050240fc6ded' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-946a061c-2fe7-4a38-b97a-fd15c2873824' class='xr-var-data-in' type='checkbox'><label for='data-946a061c-2fe7-4a38-b97a-fd15c2873824' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
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       "            <table>\n",
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       "                    <tr>\n",
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       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (2400, 3600) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DXU</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-bd7af6ed-56e0-4fee-a0c1-5398e92697df' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bd7af6ed-56e0-4fee-a0c1-5398e92697df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e20a46c5-ade1-4c24-a25a-dc7417c0cb71' class='xr-var-data-in' type='checkbox'><label for='data-e20a46c5-ade1-4c24-a25a-dc7417c0cb71' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
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       "            <table>\n",
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       "                    <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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (2400, 3600) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DYT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-daa03d07-edc2-4e46-890e-245684b5615c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-daa03d07-edc2-4e46-890e-245684b5615c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9741e7d-3763-4c12-9e0d-23f76acbd9b6' class='xr-var-data-in' type='checkbox'><label for='data-b9741e7d-3763-4c12-9e0d-23f76acbd9b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
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       "                    <tr>\n",
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       "                        <td> (2400, 3600) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DYU</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-8374a346-811a-4596-a2f3-4b15d9467ed4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8374a346-811a-4596-a2f3-4b15d9467ed4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3674790f-d593-4c2c-a1b4-5518cd89c2c5' class='xr-var-data-in' type='checkbox'><label for='data-3674790f-d593-4c2c-a1b4-5518cd89c2c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                        <th> Array </th>\n",
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       "                    </tr>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
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       "                    <tr>\n",
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       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-bd8d4b57-4c97-49d7-b4ce-f2f3341c6e62' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bd8d4b57-4c97-49d7-b4ce-f2f3341c6e62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03c51013-3c26-4bbd-a1dc-08157566ecbb' class='xr-var-data-in' type='checkbox'><label for='data-03c51013-3c26-4bbd-a1dc-08157566ecbb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HTE</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-c6e10dfb-c3cc-42a0-aeeb-cda3319ce407' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c6e10dfb-c3cc-42a0-aeeb-cda3319ce407' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aecaf075-4adb-4fbf-b5e2-a903d8799eab' class='xr-var-data-in' type='checkbox'><label for='data-aecaf075-4adb-4fbf-b5e2-a903d8799eab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HTN</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-3d66e76c-4a54-45a1-8042-3969898bceaf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3d66e76c-4a54-45a1-8042-3969898bceaf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d0f3263-910f-4682-8a1d-07906a6ad002' class='xr-var-data-in' type='checkbox'><label for='data-9d0f3263-910f-4682-8a1d-07906a6ad002' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HU</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-f2907096-1cd4-4f6f-aaa5-f69130163c31' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f2907096-1cd4-4f6f-aaa5-f69130163c31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-261d7923-f6cb-4787-8a8a-76de1c7711e5' class='xr-var-data-in' type='checkbox'><label for='data-261d7923-f6cb-4787-8a8a-76de1c7711e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
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       "                    <tr>\n",
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       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HUS</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-d2fb55f1-1b7f-4a80-b9a2-c1f7ad1fb9a5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d2fb55f1-1b7f-4a80-b9a2-c1f7ad1fb9a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0b6f227-34e5-43c0-bc70-bdab0c45738b' class='xr-var-data-in' type='checkbox'><label for='data-c0b6f227-34e5-43c0-bc70-bdab0c45738b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HUW</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-a6552d13-bdde-4e0b-a527-56ebc482f01b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a6552d13-bdde-4e0b-a527-56ebc482f01b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1bb1d602-be2a-4770-afaf-44e389abc6d0' class='xr-var-data-in' type='checkbox'><label for='data-1bb1d602-be2a-4770-afaf-44e389abc6d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>KMT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-77accffb-73de-4ded-ba8f-ab3074b8946c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-77accffb-73de-4ded-ba8f-ab3074b8946c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb16a421-4f29-41ae-a5d1-0823c11f32b6' class='xr-var-data-in' type='checkbox'><label for='data-bb16a421-4f29-41ae-a5d1-0823c11f32b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\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>KMU</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-f51ce2c9-0768-41cb-afc0-17dc661bdd13' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f51ce2c9-0768-41cb-afc0-17dc661bdd13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65550ac2-187e-48fc-b776-58c5ff598a23' class='xr-var-data-in' type='checkbox'><label for='data-65550ac2-187e-48fc-b776-58c5ff598a23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\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>REGION_MASK</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-f7b72da8-2346-41de-871e-fccbc1bb197c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f7b72da8-2346-41de-871e-fccbc1bb197c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-465005c7-0445-448c-b37e-7a59eea2b3c3' class='xr-var-data-in' type='checkbox'><label for='data-465005c7-0445-448c-b37e-7a59eea2b3c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"80\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,80.0 0.0,80.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
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       "  <text x=\"60.000000\" y=\"100.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3600</text>\n",
       "  <text x=\"140.000000\" y=\"40.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,40.000000)\">2400</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>T0_Kelvin</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>273.1</div><input id='attrs-ed338eac-797f-4604-9f2a-9822906ad832' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ed338eac-797f-4604-9f2a-9822906ad832' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a9838a4-d017-41f3-a28b-188779c70cb6' class='xr-var-data-in' type='checkbox'><label for='data-7a9838a4-d017-41f3-a28b-188779c70cb6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(273.15)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TAREA</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-149d01d7-6862-4eaf-a768-c3591147c4a0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-149d01d7-6862-4eaf-a768-c3591147c4a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56b69e8d-470d-4517-a8fa-4962acabe8ad' class='xr-var-data-in' type='checkbox'><label for='data-56b69e8d-470d-4517-a8fa-4962acabe8ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TLAT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-61f40482-f12e-4a2b-8534-e210c1a5064d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-61f40482-f12e-4a2b-8534-e210c1a5064d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f46353e-8704-4aa4-84c6-5841c26b4b02' class='xr-var-data-in' type='checkbox'><label for='data-9f46353e-8704-4aa4-84c6-5841c26b4b02' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TLONG</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-49842586-dd93-42a4-8d54-b10d5cce6738' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-49842586-dd93-42a4-8d54-b10d5cce6738' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6b76c20-bce6-4691-80fe-55c5832a8703' class='xr-var-data-in' type='checkbox'><label for='data-b6b76c20-bce6-4691-80fe-55c5832a8703' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UAREA</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-8cfb08a2-e9f2-4541-b365-a88429633825' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8cfb08a2-e9f2-4541-b365-a88429633825' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ea76266-74b6-43a2-b821-f1f74dc29e23' class='xr-var-data-in' type='checkbox'><label for='data-9ea76266-74b6-43a2-b821-f1f74dc29e23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ULAT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-788a5bc0-88f3-435c-b40c-b863a2335ed3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-788a5bc0-88f3-435c-b40c-b863a2335ed3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-edc75e74-3367-44a9-b132-0d268ec4487a' class='xr-var-data-in' type='checkbox'><label for='data-edc75e74-3367-44a9-b132-0d268ec4487a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ULONG</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-b1a27612-9a2a-40f9-824a-752d6fec463d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b1a27612-9a2a-40f9-824a-752d6fec463d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8d8dce6-e2b7-4540-adf1-a2b9b910529b' class='xr-var-data-in' type='checkbox'><label for='data-d8d8dce6-e2b7-4540-adf1-a2b9b910529b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"80\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,80.0 0.0,80.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
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       "  <text x=\"60.000000\" y=\"100.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3600</text>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cp_air</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.005e+03</div><input id='attrs-0054bdf4-6fa8-4f02-9027-cf4f33ae9f8c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0054bdf4-6fa8-4f02-9027-cf4f33ae9f8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ea30ed9-494d-48b1-a8b4-a78e126d688d' class='xr-var-data-in' type='checkbox'><label for='data-2ea30ed9-494d-48b1-a8b4-a78e126d688d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1004.64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cp_sw</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.996e+07</div><input id='attrs-a855f5a5-826a-40ca-be4c-f7b1197e5c19' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a855f5a5-826a-40ca-be4c-f7b1197e5c19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3047f842-cc01-4fde-b6ed-aa948cad153f' class='xr-var-data-in' type='checkbox'><label for='data-3047f842-cc01-4fde-b6ed-aa948cad153f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(39960000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>days_in_norm_year</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>365 days</div><input id='attrs-c5b55a0b-d5b8-410b-b1a5-ebf5c37fc0a1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c5b55a0b-d5b8-410b-b1a5-ebf5c37fc0a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09ec791f-0711-4425-8c41-ea4041ee879d' class='xr-var-data-in' type='checkbox'><label for='data-09ec791f-0711-4425-8c41-ea4041ee879d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(31536000000000000, dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fwflux_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0001</div><input id='attrs-4d202dc1-4afc-494b-9367-4fd60116a880' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4d202dc1-4afc-494b-9367-4fd60116a880' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f1ae346-891e-4247-a578-0d68d8983329' class='xr-var-data-in' type='checkbox'><label for='data-1f1ae346-891e-4247-a578-0d68d8983329' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.0001)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>grav</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>980.6</div><input id='attrs-58c827f0-dd04-4f1d-8567-228bf17b83a2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-58c827f0-dd04-4f1d-8567-228bf17b83a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-293b0ebe-8a04-4cf0-9e4c-cb4a178f661b' class='xr-var-data-in' type='checkbox'><label for='data-293b0ebe-8a04-4cf0-9e4c-cb4a178f661b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(980.616)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heat_to_PW</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.186e-15</div><input id='attrs-705bef34-aa29-45e7-8054-98f0ac14345d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-705bef34-aa29-45e7-8054-98f0ac14345d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-802f9f14-7197-49d8-8ef6-2e736d9ab656' class='xr-var-data-in' type='checkbox'><label for='data-802f9f14-7197-49d8-8ef6-2e736d9ab656' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(4.186e-15)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hflux_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.439e-05</div><input id='attrs-119d3e8e-6ed2-4d1e-b395-e7b25157d167' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-119d3e8e-6ed2-4d1e-b395-e7b25157d167' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5676df72-4bd0-48b0-a9f0-8ce1cbf3d316' class='xr-var-data-in' type='checkbox'><label for='data-5676df72-4bd0-48b0-a9f0-8ce1cbf3d316' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(2.43908626e-05)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latent_heat_fusion</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.337e+09</div><input id='attrs-d8fbe996-bee2-4d81-990e-f9207f9c26af' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d8fbe996-bee2-4d81-990e-f9207f9c26af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b4729ac-2aa2-4642-be7b-e753f2cf88e8' class='xr-var-data-in' type='checkbox'><label for='data-5b4729ac-2aa2-4642-be7b-e753f2cf88e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(3.337e+09)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latent_heat_vapor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.501e+06</div><input id='attrs-4ac78422-00fb-40bd-9c0c-99475880b819' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4ac78422-00fb-40bd-9c0c-99475880b819' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fb31c3c-82aa-4a68-a664-f8f0a08e0985' class='xr-var-data-in' type='checkbox'><label for='data-3fb31c3c-82aa-4a68-a664-f8f0a08e0985' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(2501000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mass_to_Sv</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e-12</div><input id='attrs-b5c455cc-5724-4080-bc31-1c9d5fbf18ec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b5c455cc-5724-4080-bc31-1c9d5fbf18ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26a2b79c-11d7-4408-887b-9d69600ca711' class='xr-var-data-in' type='checkbox'><label for='data-26a2b79c-11d7-4408-887b-9d69600ca711' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.e-12)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>momentum_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0</div><input id='attrs-4565bd05-3abe-4932-9687-ec3fc58c5778' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4565bd05-3abe-4932-9687-ec3fc58c5778' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17eb0844-1ba6-43c0-b69b-53b342260478' class='xr-var-data-in' type='checkbox'><label for='data-17eb0844-1ba6-43c0-b69b-53b342260478' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(10.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nsurface_t</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.413e+06</div><input id='attrs-379e94d6-c52e-4b06-8423-466e6710683f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-379e94d6-c52e-4b06-8423-466e6710683f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b54a6a03-284b-4ad8-a3d6-e54f734f0b78' class='xr-var-data-in' type='checkbox'><label for='data-b54a6a03-284b-4ad8-a3d6-e54f734f0b78' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(5413142.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nsurface_u</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.372e+06</div><input id='attrs-eabe1fd8-7064-43bf-aee4-dc96550c77b8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eabe1fd8-7064-43bf-aee4-dc96550c77b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4d19184-3b77-4331-8e0f-0182ea21d69c' class='xr-var-data-in' type='checkbox'><label for='data-c4d19184-3b77-4331-8e0f-0182ea21d69c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(5371534.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocn_ref_salinity</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>34.7</div><input id='attrs-0b58f12e-f16a-451f-a42f-e98ac644c299' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0b58f12e-f16a-451f-a42f-e98ac644c299' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-622163b8-ad21-4c41-a941-50818dc2acb7' class='xr-var-data-in' type='checkbox'><label for='data-622163b8-ad21-4c41-a941-50818dc2acb7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(34.7)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>omega</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.292e-05</div><input id='attrs-a024ba7a-497a-4692-89a9-8d0fb15990b4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a024ba7a-497a-4692-89a9-8d0fb15990b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24a32d68-e1c5-400e-a1be-f9e02d0715f5' class='xr-var-data-in' type='checkbox'><label for='data-24a32d68-e1c5-400e-a1be-f9e02d0715f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(7.29212352e-05)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ppt_to_salt</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.001</div><input id='attrs-a76bdd46-e0f6-45b3-b261-843319ae92af' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a76bdd46-e0f6-45b3-b261-843319ae92af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c585a07-7a3c-40f3-9a8a-0697fb9777b3' class='xr-var-data-in' type='checkbox'><label for='data-6c585a07-7a3c-40f3-9a8a-0697fb9777b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.001)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>radius</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.371e+08</div><input id='attrs-ce4e9299-0368-4ac7-8532-67256a1d8528' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ce4e9299-0368-4ac7-8532-67256a1d8528' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80e9e540-792d-481d-989e-f91ea3b0466e' class='xr-var-data-in' type='checkbox'><label for='data-80e9e540-792d-481d-989e-f91ea3b0466e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(6.37122e+08)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rho_air</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.292</div><input id='attrs-5d3a4c69-9e0d-4ed9-bdea-ba729c4a4a85' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5d3a4c69-9e0d-4ed9-bdea-ba729c4a4a85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c21ef01a-d778-4ce8-b894-844d78696bf0' class='xr-var-data-in' type='checkbox'><label for='data-c21ef01a-d778-4ce8-b894-844d78696bf0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.29231828)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rho_fw</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0</div><input id='attrs-a46efd8b-e7d3-47a2-9ec6-9623e4758c4d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a46efd8b-e7d3-47a2-9ec6-9623e4758c4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9519a380-1b75-43c0-bae2-8bd045bd82c0' class='xr-var-data-in' type='checkbox'><label for='data-9519a380-1b75-43c0-bae2-8bd045bd82c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rho_sw</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.026</div><input id='attrs-0eea180a-1bb3-4ecd-9396-96108d7e2004' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0eea180a-1bb3-4ecd-9396-96108d7e2004' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10076db3-190d-4e60-b8d3-fa7c998e1214' class='xr-var-data-in' type='checkbox'><label for='data-10076db3-190d-4e60-b8d3-fa7c998e1214' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.026)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salinity_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.00347</div><input id='attrs-07f2699c-ecaf-4fdb-a635-6a2f37275840' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-07f2699c-ecaf-4fdb-a635-6a2f37275840' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65dc3320-310b-4693-8cc8-a4286d1a308f' class='xr-var-data-in' type='checkbox'><label for='data-65dc3320-310b-4693-8cc8-a4286d1a308f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(-0.00347)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt_to_Svppt</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e-09</div><input id='attrs-2ae100e5-8c0a-4c7c-8ade-df5b0726a064' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2ae100e5-8c0a-4c7c-8ade-df5b0726a064' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80529419-b68e-4d78-8d86-73c495556054' class='xr-var-data-in' type='checkbox'><label for='data-80529419-b68e-4d78-8d86-73c495556054' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.e-09)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt_to_mmday</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.154e+05</div><input id='attrs-21b25e84-d8d1-4858-b014-d4015e1d28b3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-21b25e84-d8d1-4858-b014-d4015e1d28b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56e147fd-c890-4c9b-8bcf-80dd34e5f016' class='xr-var-data-in' type='checkbox'><label for='data-56e147fd-c890-4c9b-8bcf-80dd34e5f016' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(315360.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt_to_ppt</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+03</div><input id='attrs-910cddfe-6cc5-4ed2-96b1-cade602fb816' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-910cddfe-6cc5-4ed2-96b1-cade602fb816' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9fc3cba-c1ac-429f-8240-ac722c302403' class='xr-var-data-in' type='checkbox'><label for='data-d9fc3cba-c1ac-429f-8240-ac722c302403' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_ice_salinity</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.0</div><input id='attrs-cbaeb0c0-5185-4b9c-90f0-234cdf69bf98' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cbaeb0c0-5185-4b9c-90f0-234cdf69bf98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4613d0fb-9714-4de5-b5cc-431322a7e835' class='xr-var-data-in' type='checkbox'><label for='data-4613d0fb-9714-4de5-b5cc-431322a7e835' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(4.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sflux_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1</div><input id='attrs-24abd2b4-ed37-4cf3-8732-0ba7cfc7bc5b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-24abd2b4-ed37-4cf3-8732-0ba7cfc7bc5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfbc18f8-15d4-4027-8f23-25c1dd43d8c0' class='xr-var-data-in' type='checkbox'><label for='data-dfbc18f8-15d4-4027-8f23-25c1dd43d8c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.1)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sound</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.5e+05</div><input id='attrs-1ab0a7f0-7e20-4573-afe8-7c7372d64909' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1ab0a7f0-7e20-4573-afe8-7c7372d64909' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40aeb45e-f05c-4053-8dc2-5103d4bcea55' class='xr-var-data-in' type='checkbox'><label for='data-40aeb45e-f05c-4053-8dc2-5103d4bcea55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(150000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stefan_boltzmann</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.67e-08</div><input id='attrs-a2a95f47-001c-4dc0-b928-35d48775199f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a2a95f47-001c-4dc0-b928-35d48775199f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-990675df-9b12-4793-80d0-36b03934dfb7' class='xr-var-data-in' type='checkbox'><label for='data-990675df-9b12-4793-80d0-36b03934dfb7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(5.67e-08)</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'>2006-01-02 00:00:00 ... 2051-01-...</div><input id='attrs-f6367bc2-693c-4e30-a48d-792bf6391920' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f6367bc2-693c-4e30-a48d-792bf6391920' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b130f039-6c0a-4e2e-84a4-46763cb62150' class='xr-var-data-in' type='checkbox'><label for='data-b130f039-6c0a-4e2e-84a4-46763cb62150' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2006, 1, 2, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2006, 1, 3, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2006, 1, 4, 0, 0, 0, 0, has_year_zero=True), ...,\n",
       "       cftime.DatetimeNoLeap(2050, 12, 30, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2050, 12, 31, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2051, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vonkar</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4</div><input id='attrs-fd582491-3131-41ff-a92d-1e1b366027f8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fd582491-3131-41ff-a92d-1e1b366027f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbf2638f-0984-438c-8fc6-0280cad66851' class='xr-var-data-in' type='checkbox'><label for='data-cbf2638f-0984-438c-8fc6-0280cad66851' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.4)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0418802e-11a2-4f9d-80a6-0ce98c5e438f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0418802e-11a2-4f9d-80a6-0ce98c5e438f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (time: 16401, nlat: 2400, nlon: 3600)>\n",
       "dask.array<transpose, shape=(16401, 2400, 3600), dtype=float32, chunksize=(1, 2400, 3600), chunktype=numpy.ndarray>\n",
       "Coordinates: (12/52)\n",
       "    ANGLE               (nlat, nlon) float64 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    ANGLET              (nlat, nlon) float64 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    DXT                 (nlat, nlon) float64 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    DXU                 (nlat, nlon) float64 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    DYT                 (nlat, nlon) float64 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    DYU                 (nlat, nlon) float64 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    ...                  ...\n",
       "    sea_ice_salinity    float64 4.0\n",
       "    sflux_factor        float64 0.1\n",
       "    sound               float64 1.5e+05\n",
       "    stefan_boltzmann    float64 5.67e-08\n",
       "  * time                (time) object 2006-01-02 00:00:00 ... 2051-01-01 00:0...\n",
       "    vonkar              float64 0.4\n",
       "Dimensions without coordinates: nlat, nlon"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Apply the filter\n",
    "ssh_filtered = filter_ssh.apply(ssh, dims=['nlat', 'nlon'])\n",
    "ssh_filtered  # note that this is a dask array, so we have filtered \"lazily\""
   ]
  },
  {
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   "execution_count": 11,
   "id": "2ebb5905-d74a-4a07-a92b-d038d0d5bdc4",
   "metadata": {},
   "outputs": [
    {
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       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
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       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
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       "\n",
       ".xr-var-dims {\n",
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       "}\n",
       "\n",
       ".xr-var-dtype {\n",
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       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
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       "\n",
       ".xr-var-preview {\n",
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       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
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       "\n",
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       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
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       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
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       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
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       "\n",
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       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (time: 16401, nlat: 2400, nlon: 3600)&gt;\n",
       "dask.array&lt;sub, shape=(16401, 2400, 3600), dtype=float32, chunksize=(1, 2400, 3600), chunktype=numpy.ndarray&gt;\n",
       "Coordinates: (12/52)\n",
       "    ANGLE               (nlat, nlon) float64 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    ANGLET              (nlat, nlon) float64 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    DXT                 (nlat, nlon) float64 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    DXU                 (nlat, nlon) float64 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    DYT                 (nlat, nlon) float64 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    DYU                 (nlat, nlon) float64 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    ...                  ...\n",
       "    sea_ice_salinity    float64 4.0\n",
       "    sflux_factor        float64 0.1\n",
       "    sound               float64 1.5e+05\n",
       "    stefan_boltzmann    float64 5.67e-08\n",
       "  * time                (time) object 2006-01-02 00:00:00 ... 2051-01-01 00:0...\n",
       "    vonkar              float64 0.4\n",
       "Dimensions without coordinates: nlat, nlon</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 16401</li><li><span>nlat</span>: 2400</li><li><span>nlon</span>: 3600</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ea4d3851-9829-4739-a670-463fd335894b' class='xr-array-in' type='checkbox' checked><label for='section-ea4d3851-9829-4739-a670-463fd335894b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 2400, 3600), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 527.89 GiB </td>\n",
       "                        <td> 32.96 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (16401, 2400, 3600) </td>\n",
       "                        <td> (1, 2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 14 Graph Layers </td>\n",
       "                        <td> 16401 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "</table></div></div></li><li class='xr-section-item'><input id='section-2a38709a-7a2d-4d9b-88cc-0568db9f5450' class='xr-section-summary-in' type='checkbox'  ><label for='section-2a38709a-7a2d-4d9b-88cc-0568db9f5450' class='xr-section-summary' >Coordinates: <span>(52)</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>ANGLE</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-730d78d0-db48-4167-8139-ec0368340120' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-730d78d0-db48-4167-8139-ec0368340120' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e032f504-85cd-45fc-b546-8a3a3d638403' class='xr-var-data-in' type='checkbox'><label for='data-e032f504-85cd-45fc-b546-8a3a3d638403' 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>angle grid makes with latitude line</dd><dt><span>units :</span></dt><dd>radians</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
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       "                        <td> 65.92 MiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "                        <td> (2400, 3600) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
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       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ANGLET</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-2a45304b-bc9f-424f-95cc-9cbaedaebedb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a45304b-bc9f-424f-95cc-9cbaedaebedb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c86891d7-d8f4-47a2-b67c-ad0db78233da' class='xr-var-data-in' type='checkbox'><label for='data-c86891d7-d8f4-47a2-b67c-ad0db78233da' 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>angle grid makes with latitude line on T grid</dd><dt><span>units :</span></dt><dd>radians</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> (2400, 3600) </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DXT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-8f73bc97-2fb2-4134-bd26-7a802ae2e5e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f73bc97-2fb2-4134-bd26-7a802ae2e5e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1d76a5d-3d0a-45ac-a730-3fbb930d5856' class='xr-var-data-in' type='checkbox'><label for='data-b1d76a5d-3d0a-45ac-a730-3fbb930d5856' 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>x-spacing centered at T points</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DXU</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-cfd8f0ba-ccb2-4832-b29e-506604c2bfdc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cfd8f0ba-ccb2-4832-b29e-506604c2bfdc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f004ccd-befc-4c72-887b-e12bb4786b10' class='xr-var-data-in' type='checkbox'><label for='data-4f004ccd-befc-4c72-887b-e12bb4786b10' 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>x-spacing centered at U points</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "  <!-- Horizontal lines -->\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>DYT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-e91e2d09-5a40-4e94-abba-e5a168cca272' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e91e2d09-5a40-4e94-abba-e5a168cca272' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e471f2d0-5de9-46ac-8c80-554990fefa9f' class='xr-var-data-in' type='checkbox'><label for='data-e471f2d0-5de9-46ac-8c80-554990fefa9f' 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>y-spacing centered at T points</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DYU</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-e61d150d-a5c9-4a83-9da2-9ee936882403' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e61d150d-a5c9-4a83-9da2-9ee936882403' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3904f64-72d5-4061-9c4f-2f032379f30f' class='xr-var-data-in' type='checkbox'><label for='data-e3904f64-72d5-4061-9c4f-2f032379f30f' 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>y-spacing centered at U points</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-aeb468ee-7c58-4614-935b-12dadbe5f995' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aeb468ee-7c58-4614-935b-12dadbe5f995' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc45af2c-ef45-4961-a6db-b039c1d24039' class='xr-var-data-in' type='checkbox'><label for='data-dc45af2c-ef45-4961-a6db-b039c1d24039' 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>ocean depth at T points</dd><dt><span>units :</span></dt><dd>centimeter</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HTE</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-ca8b3a98-d1d0-44d0-a378-2a1b7e3f325b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca8b3a98-d1d0-44d0-a378-2a1b7e3f325b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e71c4de5-d7bd-4e82-abd9-e8fe26bc4dad' class='xr-var-data-in' type='checkbox'><label for='data-e71c4de5-d7bd-4e82-abd9-e8fe26bc4dad' 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>cell widths on East sides of T cell</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HTN</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-f8ce3181-e5bc-4c68-9f7e-534b2a3e9bbd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f8ce3181-e5bc-4c68-9f7e-534b2a3e9bbd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-562ab17b-7998-40f9-8644-7d2660322697' class='xr-var-data-in' type='checkbox'><label for='data-562ab17b-7998-40f9-8644-7d2660322697' 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>cell widths on North sides of T cell</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HU</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-77618ba3-99a2-489b-a51e-a9681c952de4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77618ba3-99a2-489b-a51e-a9681c952de4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ec8f34b-088b-4264-969e-8cf1c9ea2448' class='xr-var-data-in' type='checkbox'><label for='data-0ec8f34b-088b-4264-969e-8cf1c9ea2448' 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>ocean depth at U points</dd><dt><span>units :</span></dt><dd>centimeter</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HUS</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-0f199519-3f27-4646-a94b-0ab9a6092b37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f199519-3f27-4646-a94b-0ab9a6092b37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba684d2a-9de3-40e2-bc33-df1f1b54fabb' class='xr-var-data-in' type='checkbox'><label for='data-ba684d2a-9de3-40e2-bc33-df1f1b54fabb' 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>cell widths on South sides of U cell</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HUW</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-5590c6ac-1af3-416d-b3b8-851a53f4dc73' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5590c6ac-1af3-416d-b3b8-851a53f4dc73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14ddbd08-2215-47a1-aa5b-7e3b2ba787bf' class='xr-var-data-in' type='checkbox'><label for='data-14ddbd08-2215-47a1-aa5b-7e3b2ba787bf' 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>cell widths on West sides of U cell</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>KMT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-e7387e36-1b61-4a7a-a0f9-8b549534e618' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7387e36-1b61-4a7a-a0f9-8b549534e618' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b1cfc42-f90c-40e0-982b-a2f557ae25d0' class='xr-var-data-in' type='checkbox'><label for='data-2b1cfc42-f90c-40e0-982b-a2f557ae25d0' 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>k Index of Deepest Grid Cell on T Grid</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>KMU</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-08e2657e-3163-4c97-8a8e-2758a3aa15c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08e2657e-3163-4c97-8a8e-2758a3aa15c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09bba6ac-cbe0-4b96-ae3a-767a40b8308c' class='xr-var-data-in' type='checkbox'><label for='data-09bba6ac-cbe0-4b96-ae3a-767a40b8308c' 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>k Index of Deepest Grid Cell on U Grid</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>REGION_MASK</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-2cf6493f-7bde-4564-8258-c97b2764f348' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2cf6493f-7bde-4564-8258-c97b2764f348' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb0cfe40-aafa-49c3-9a6e-428d1cdf0e6c' class='xr-var-data-in' type='checkbox'><label for='data-cb0cfe40-aafa-49c3-9a6e-428d1cdf0e6c' 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>basin index number (signed integers)</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>T0_Kelvin</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>273.1</div><input id='attrs-cfa9ff68-221d-42bc-a41a-08e17ddac021' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cfa9ff68-221d-42bc-a41a-08e17ddac021' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1aa6338-21ea-4a9a-bedb-98cb8764e250' class='xr-var-data-in' type='checkbox'><label for='data-c1aa6338-21ea-4a9a-bedb-98cb8764e250' 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>Zero Point for Celsius</dd><dt><span>units :</span></dt><dd>degK</dd></dl></div><div class='xr-var-data'><pre>array(273.15)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TAREA</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-781d9035-72f1-4846-8422-8dcfd637104f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-781d9035-72f1-4846-8422-8dcfd637104f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db61162a-26cf-4624-98da-9140651ad18a' class='xr-var-data-in' type='checkbox'><label for='data-db61162a-26cf-4624-98da-9140651ad18a' 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>area of T cells</dd><dt><span>units :</span></dt><dd>centimeter^2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\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>TLAT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-c38335ae-dfb0-4746-87d5-3a8617eb140c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c38335ae-dfb0-4746-87d5-3a8617eb140c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa2dd70d-604d-4244-a6c6-51423bd22234' class='xr-var-data-in' type='checkbox'><label for='data-aa2dd70d-604d-4244-a6c6-51423bd22234' 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>array of t-grid latitudes</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TLONG</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-b73c5ce5-e80a-4cb4-a3a0-b4921bc2feaf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b73c5ce5-e80a-4cb4-a3a0-b4921bc2feaf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64cb684b-2f09-4857-abb2-eae40b278c5b' class='xr-var-data-in' type='checkbox'><label for='data-64cb684b-2f09-4857-abb2-eae40b278c5b' 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>array of t-grid longitudes</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UAREA</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-f93bbec7-7069-4ad4-a44e-f22f7a7251c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f93bbec7-7069-4ad4-a44e-f22f7a7251c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-920c5a3a-abdd-4dcc-a6ea-97cef25fb4da' class='xr-var-data-in' type='checkbox'><label for='data-920c5a3a-abdd-4dcc-a6ea-97cef25fb4da' 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>area of U cells</dd><dt><span>units :</span></dt><dd>centimeter^2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ULAT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-d96eb4a8-8f84-493c-9243-887e938262ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d96eb4a8-8f84-493c-9243-887e938262ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-181ba04a-6ba8-4b5d-a9ee-7ee4c640dbb6' class='xr-var-data-in' type='checkbox'><label for='data-181ba04a-6ba8-4b5d-a9ee-7ee4c640dbb6' 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>array of u-grid latitudes</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ULONG</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-9b4806bf-5e11-4502-b5c4-f3bd650b902e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b4806bf-5e11-4502-b5c4-f3bd650b902e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08da53c9-0f0c-4e92-b670-2342d231dc9a' class='xr-var-data-in' type='checkbox'><label for='data-08da53c9-0f0c-4e92-b670-2342d231dc9a' 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>array of u-grid longitudes</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 65.92 MiB </td>\n",
       "                        <td> 65.92 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                        <td> (2400, 3600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\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>cp_air</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.005e+03</div><input id='attrs-a1216bf3-da0b-426d-9e50-85497772075e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1216bf3-da0b-426d-9e50-85497772075e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed1476c7-c085-4b3b-a9c1-f0bb55981de2' class='xr-var-data-in' type='checkbox'><label for='data-ed1476c7-c085-4b3b-a9c1-f0bb55981de2' 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>Heat Capacity of Air</dd><dt><span>units :</span></dt><dd>joule/kg/degK</dd></dl></div><div class='xr-var-data'><pre>array(1004.64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cp_sw</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.996e+07</div><input id='attrs-7b03fbac-ea65-4a7c-9396-b0fbd515e89d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b03fbac-ea65-4a7c-9396-b0fbd515e89d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9524095-e939-44fe-8074-06f98d1aec3e' class='xr-var-data-in' type='checkbox'><label for='data-b9524095-e939-44fe-8074-06f98d1aec3e' 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>Specific Heat of Sea Water</dd><dt><span>units :</span></dt><dd>erg/g/K</dd></dl></div><div class='xr-var-data'><pre>array(39960000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>days_in_norm_year</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>365 days</div><input id='attrs-6097ac7f-e3ef-44a3-8e12-ec58a132b833' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6097ac7f-e3ef-44a3-8e12-ec58a132b833' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c66010e8-e1b0-4f86-b1c4-9ab2b3097da5' class='xr-var-data-in' type='checkbox'><label for='data-c66010e8-e1b0-4f86-b1c4-9ab2b3097da5' 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>Calendar Length</dd></dl></div><div class='xr-var-data'><pre>array(31536000000000000, dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fwflux_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0001</div><input id='attrs-ef746743-daae-4caf-9090-efd43b337c9c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef746743-daae-4caf-9090-efd43b337c9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e71cc4b1-c978-4cc4-9ac0-791131d80626' class='xr-var-data-in' type='checkbox'><label for='data-e71cc4b1-c978-4cc4-9ac0-791131d80626' 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>Convert Net Fresh Water Flux to Salt Flux (in model units)</dd></dl></div><div class='xr-var-data'><pre>array(0.0001)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>grav</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>980.6</div><input id='attrs-39bc090b-33e8-4607-9a97-9be562f1828b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39bc090b-33e8-4607-9a97-9be562f1828b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f1c96bc-11b5-4146-9fe5-14c1ccf214f7' class='xr-var-data-in' type='checkbox'><label for='data-9f1c96bc-11b5-4146-9fe5-14c1ccf214f7' 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>Acceleration Due to Gravity</dd><dt><span>units :</span></dt><dd>centimeter/s^2</dd></dl></div><div class='xr-var-data'><pre>array(980.616)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heat_to_PW</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.186e-15</div><input id='attrs-6a8ee517-1a56-41d6-85c1-baf39fa30725' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a8ee517-1a56-41d6-85c1-baf39fa30725' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f463210f-1860-44ff-8767-34171f748fc5' class='xr-var-data-in' type='checkbox'><label for='data-f463210f-1860-44ff-8767-34171f748fc5' 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>Convert Heat Flux to Petawatts</dd></dl></div><div class='xr-var-data'><pre>array(4.186e-15)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hflux_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.439e-05</div><input id='attrs-d41e43f6-7129-486a-bdb9-57fedd144305' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d41e43f6-7129-486a-bdb9-57fedd144305' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfe3a1bd-c7d6-4410-bf50-d31567dde30e' class='xr-var-data-in' type='checkbox'><label for='data-cfe3a1bd-c7d6-4410-bf50-d31567dde30e' 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>Convert Heat and Solar Flux to Temperature Flux</dd></dl></div><div class='xr-var-data'><pre>array(2.43908626e-05)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latent_heat_fusion</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.337e+09</div><input id='attrs-197de16a-edae-47e5-9ad6-6385ac95f909' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-197de16a-edae-47e5-9ad6-6385ac95f909' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfa2f0cf-a2c3-438d-9c39-5ae6d020b790' class='xr-var-data-in' type='checkbox'><label for='data-dfa2f0cf-a2c3-438d-9c39-5ae6d020b790' 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>Latent Heat of Fusion</dd><dt><span>units :</span></dt><dd>erg/g</dd></dl></div><div class='xr-var-data'><pre>array(3.337e+09)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latent_heat_vapor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.501e+06</div><input id='attrs-b67a26b5-95f0-483c-b8a8-c2ab18d4f8a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b67a26b5-95f0-483c-b8a8-c2ab18d4f8a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9d2ba66-7a63-4c6b-93fc-f3348bcd0026' class='xr-var-data-in' type='checkbox'><label for='data-d9d2ba66-7a63-4c6b-93fc-f3348bcd0026' 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>Latent Heat of Vaporization</dd><dt><span>units :</span></dt><dd>J/kg</dd></dl></div><div class='xr-var-data'><pre>array(2501000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mass_to_Sv</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e-12</div><input id='attrs-ce19db0d-bc22-42b6-8082-1fe5d6a1f739' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce19db0d-bc22-42b6-8082-1fe5d6a1f739' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb2bafd2-5ecf-492e-8b5d-4a0da1955775' class='xr-var-data-in' type='checkbox'><label for='data-cb2bafd2-5ecf-492e-8b5d-4a0da1955775' 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>Convert Mass Flux to Sverdrups</dd></dl></div><div class='xr-var-data'><pre>array(1.e-12)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>momentum_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0</div><input id='attrs-6e3128db-5d76-4b2c-9fbd-36f246776c71' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e3128db-5d76-4b2c-9fbd-36f246776c71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8625ec9-90f1-41c6-b3b5-95625c44d063' class='xr-var-data-in' type='checkbox'><label for='data-d8625ec9-90f1-41c6-b3b5-95625c44d063' 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>Convert Windstress to Velocity Flux</dd></dl></div><div class='xr-var-data'><pre>array(10.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nsurface_t</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.413e+06</div><input id='attrs-465e598b-f581-4811-a3a0-3adb1dae8c96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-465e598b-f581-4811-a3a0-3adb1dae8c96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2084e0ed-a50c-4b16-a96f-7de9d392eb7b' class='xr-var-data-in' type='checkbox'><label for='data-2084e0ed-a50c-4b16-a96f-7de9d392eb7b' 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>Number of Ocean T Points at Surface</dd></dl></div><div class='xr-var-data'><pre>array(5413142.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nsurface_u</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.372e+06</div><input id='attrs-d9d1befa-6c47-4185-b9f8-8c58a582f75f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9d1befa-6c47-4185-b9f8-8c58a582f75f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c41bcfbb-17f1-4eb0-8d36-cb040684bed7' class='xr-var-data-in' type='checkbox'><label for='data-c41bcfbb-17f1-4eb0-8d36-cb040684bed7' 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>Number of Ocean U Points at Surface</dd></dl></div><div class='xr-var-data'><pre>array(5371534.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocn_ref_salinity</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>34.7</div><input id='attrs-fde0b4fe-c8d4-465a-be6d-37a3a1e998d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fde0b4fe-c8d4-465a-be6d-37a3a1e998d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4fd42f3a-f58d-4fa9-889c-f1c22f3b54e5' class='xr-var-data-in' type='checkbox'><label for='data-4fd42f3a-f58d-4fa9-889c-f1c22f3b54e5' 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>Ocean Reference Salinity</dd><dt><span>units :</span></dt><dd>g/kg</dd></dl></div><div class='xr-var-data'><pre>array(34.7)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>omega</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.292e-05</div><input id='attrs-1c90ade4-373a-46ff-97fb-d9f3f204043f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c90ade4-373a-46ff-97fb-d9f3f204043f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42593b2f-11c3-4af8-a631-484dee2ee0be' class='xr-var-data-in' type='checkbox'><label for='data-42593b2f-11c3-4af8-a631-484dee2ee0be' 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>Earths Angular Velocity</dd><dt><span>units :</span></dt><dd>1/second</dd></dl></div><div class='xr-var-data'><pre>array(7.29212352e-05)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ppt_to_salt</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.001</div><input id='attrs-6409dd39-b633-4e1e-a2fa-dbfb73f62992' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6409dd39-b633-4e1e-a2fa-dbfb73f62992' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1e985fd-1314-4b73-8373-291f2c0684ac' class='xr-var-data-in' type='checkbox'><label for='data-f1e985fd-1314-4b73-8373-291f2c0684ac' 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>Convert Salt in g/kg to gram/gram</dd></dl></div><div class='xr-var-data'><pre>array(0.001)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>radius</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.371e+08</div><input id='attrs-2555b3ea-582e-4ee8-bc50-0d5128806ee6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2555b3ea-582e-4ee8-bc50-0d5128806ee6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47fd3fe5-5036-4cfd-a4a7-01f460a5615b' class='xr-var-data-in' type='checkbox'><label for='data-47fd3fe5-5036-4cfd-a4a7-01f460a5615b' 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>Earths Radius</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><pre>array(6.37122e+08)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rho_air</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.292</div><input id='attrs-8d9b00d7-dada-4169-98b7-1e33b07771c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d9b00d7-dada-4169-98b7-1e33b07771c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a6cab27-f8df-40d0-a34d-2c5b710006ac' class='xr-var-data-in' type='checkbox'><label for='data-2a6cab27-f8df-40d0-a34d-2c5b710006ac' 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>Ambient Air Density</dd><dt><span>units :</span></dt><dd>kg/m^3</dd></dl></div><div class='xr-var-data'><pre>array(1.29231828)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rho_fw</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0</div><input id='attrs-47a3bdca-f30b-4dae-9de6-40b32fc3313b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47a3bdca-f30b-4dae-9de6-40b32fc3313b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9d80b5f-c285-4704-8ef0-4c255148febf' class='xr-var-data-in' type='checkbox'><label for='data-b9d80b5f-c285-4704-8ef0-4c255148febf' 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>Density of Fresh Water</dd><dt><span>units :</span></dt><dd>gram/centimeter^3</dd></dl></div><div class='xr-var-data'><pre>array(1.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rho_sw</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.026</div><input id='attrs-fd70aeaa-ff1d-4048-8d7b-47b4ca876b72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd70aeaa-ff1d-4048-8d7b-47b4ca876b72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9f442c6-db08-4bfa-84ad-de0abeac9142' class='xr-var-data-in' type='checkbox'><label for='data-f9f442c6-db08-4bfa-84ad-de0abeac9142' 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>Density of Sea Water</dd><dt><span>units :</span></dt><dd>gram/centimeter^3</dd></dl></div><div class='xr-var-data'><pre>array(1.026)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salinity_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.00347</div><input id='attrs-270d042b-122d-40bc-bd37-4f9872898fac' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-270d042b-122d-40bc-bd37-4f9872898fac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4052dc2-649e-4a90-a736-97479cf17181' class='xr-var-data-in' type='checkbox'><label for='data-b4052dc2-649e-4a90-a736-97479cf17181' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(-0.00347)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt_to_Svppt</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e-09</div><input id='attrs-b734c5d4-d365-47fd-b775-4e33d0e9db26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b734c5d4-d365-47fd-b775-4e33d0e9db26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b61257ae-7945-4185-b1bd-8f2f6ed0344d' class='xr-var-data-in' type='checkbox'><label for='data-b61257ae-7945-4185-b1bd-8f2f6ed0344d' 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>Convert Salt Flux to Sverdrups*g/kg</dd></dl></div><div class='xr-var-data'><pre>array(1.e-09)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt_to_mmday</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.154e+05</div><input id='attrs-f8f1a1bd-3a80-4aac-ac1a-4bd2c90c69cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f8f1a1bd-3a80-4aac-ac1a-4bd2c90c69cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3da5a75d-f757-42e4-9046-95ea95b0e05d' class='xr-var-data-in' type='checkbox'><label for='data-3da5a75d-f757-42e4-9046-95ea95b0e05d' 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>Convert Salt to Water (millimeters/day)</dd></dl></div><div class='xr-var-data'><pre>array(315360.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt_to_ppt</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+03</div><input id='attrs-64242a4f-a957-429b-9009-96a2573503da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64242a4f-a957-429b-9009-96a2573503da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5acbb6eb-7a14-4a77-9552-ee437c33d767' class='xr-var-data-in' type='checkbox'><label for='data-5acbb6eb-7a14-4a77-9552-ee437c33d767' 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>Convert Salt in gram/gram to g/kg</dd></dl></div><div class='xr-var-data'><pre>array(1000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_ice_salinity</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.0</div><input id='attrs-7360b65d-1f07-402f-8740-56a01f4ae881' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7360b65d-1f07-402f-8740-56a01f4ae881' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52b42ed3-9854-44d9-8e97-96782259f914' class='xr-var-data-in' type='checkbox'><label for='data-52b42ed3-9854-44d9-8e97-96782259f914' 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>Salinity of Sea Ice</dd><dt><span>units :</span></dt><dd>g/kg</dd></dl></div><div class='xr-var-data'><pre>array(4.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sflux_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1</div><input id='attrs-1e037ce0-b855-4d8b-af73-11dd178b96b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e037ce0-b855-4d8b-af73-11dd178b96b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8cd1ec7-50d3-4e4a-967b-5e61709f9a05' class='xr-var-data-in' type='checkbox'><label for='data-b8cd1ec7-50d3-4e4a-967b-5e61709f9a05' 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>Convert Salt Flux to Salt Flux (in model units)</dd></dl></div><div class='xr-var-data'><pre>array(0.1)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sound</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.5e+05</div><input id='attrs-d7007fcc-fbda-42d5-9814-5dac552738bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7007fcc-fbda-42d5-9814-5dac552738bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f5d517c-2dba-4e39-a9c1-75f1df23b167' class='xr-var-data-in' type='checkbox'><label for='data-4f5d517c-2dba-4e39-a9c1-75f1df23b167' 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>Speed of Sound</dd><dt><span>units :</span></dt><dd>centimeter/s</dd></dl></div><div class='xr-var-data'><pre>array(150000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stefan_boltzmann</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.67e-08</div><input id='attrs-fbf9cf70-1ec8-4180-b5fb-cee291ab9328' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbf9cf70-1ec8-4180-b5fb-cee291ab9328' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c964e39-ad4f-4735-8fd0-95279922dec7' class='xr-var-data-in' type='checkbox'><label for='data-1c964e39-ad4f-4735-8fd0-95279922dec7' 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>Stefan-Boltzmann Constant</dd><dt><span>units :</span></dt><dd>watt/m^2/degK^4</dd></dl></div><div class='xr-var-data'><pre>array(5.67e-08)</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'>2006-01-02 00:00:00 ... 2051-01-...</div><input id='attrs-7fa331d5-afca-455e-ba59-eaf4e81e997b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7fa331d5-afca-455e-ba59-eaf4e81e997b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03e99e25-255d-40d2-8cf1-87c2203fc59e' class='xr-var-data-in' type='checkbox'><label for='data-03e99e25-255d-40d2-8cf1-87c2203fc59e' 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_bound</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2006, 1, 2, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2006, 1, 3, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2006, 1, 4, 0, 0, 0, 0, has_year_zero=True), ...,\n",
       "       cftime.DatetimeNoLeap(2050, 12, 30, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2050, 12, 31, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2051, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vonkar</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4</div><input id='attrs-edb04ad4-4725-4387-9e56-772dd6b03697' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-edb04ad4-4725-4387-9e56-772dd6b03697' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f10da720-c83c-4f2c-92f4-5e1568bb5d53' class='xr-var-data-in' type='checkbox'><label for='data-f10da720-c83c-4f2c-92f4-5e1568bb5d53' 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>von Karman Constant</dd></dl></div><div class='xr-var-data'><pre>array(0.4)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c755f3d0-30ad-41e2-8794-dafa5958608a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c755f3d0-30ad-41e2-8794-dafa5958608a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (time: 16401, nlat: 2400, nlon: 3600)>\n",
       "dask.array<sub, shape=(16401, 2400, 3600), dtype=float32, chunksize=(1, 2400, 3600), chunktype=numpy.ndarray>\n",
       "Coordinates: (12/52)\n",
       "    ANGLE               (nlat, nlon) float64 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    ANGLET              (nlat, nlon) float64 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    DXT                 (nlat, nlon) float64 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    DXU                 (nlat, nlon) float64 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    DYT                 (nlat, nlon) float64 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    DYU                 (nlat, nlon) float64 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    ...                  ...\n",
       "    sea_ice_salinity    float64 4.0\n",
       "    sflux_factor        float64 0.1\n",
       "    sound               float64 1.5e+05\n",
       "    stefan_boltzmann    float64 5.67e-08\n",
       "  * time                (time) object 2006-01-02 00:00:00 ... 2051-01-01 00:0...\n",
       "    vonkar              float64 0.4\n",
       "Dimensions without coordinates: nlat, nlon"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Calculating the difference SSH - filtered SSH\n",
    "ssh_SmallScale = ssh - ssh_filtered\n",
    "ssh_SmallScale  # this is a dask array again"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "bdeeaa1a-9124-418d-9d2f-2d41929e13d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x720 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#filter computation over time slice and plotting\n",
    "\n",
    "vmin = -30\n",
    "vmax = 30\n",
    "\n",
    "vmin2 = -2\n",
    "vmax2 = 2\n",
    "\n",
    "yslice = slice(1150,1550)\n",
    "xslice = slice(80,1400)\n",
    "\n",
    "#yslice = slice(1500, 1750)\n",
    "#xslice = slice(400, 600)\n",
    "for t in range(0, 1):#365,5): # len(ds.time)):\n",
    "\n",
    "    fig,axs = plt.subplots(3,1,figsize=(7,10))\n",
    "    ssh.isel(nlat=yslice, nlon=xslice, time=t).plot(\n",
    "        ax=axs[0], \n",
    "        vmin=vmin, vmax=vmax, cmap='RdBu',\n",
    "        cbar_kwargs={'label': 'cm'}\n",
    "    )\n",
    "    axs[0].set_title('SSH', fontsize=18)\n",
    "    axs[0].tick_params(axis='both', which='major', labelsize=12)\n",
    "\n",
    "    ssh_filtered.isel(nlat=yslice, nlon=xslice, time=t).plot(\n",
    "        ax=axs[1], \n",
    "        vmin=vmin, vmax=vmax, cmap='RdBu',\n",
    "        cbar_kwargs={'label': 'cm'}\n",
    "    )\n",
    "    axs[1].set_title('Large Scale SSH', fontsize=18);\n",
    "    axs[1].tick_params(axis='both', which='major', labelsize=12)\n",
    "\n",
    "    ssh_SmallScale.isel(nlat=yslice, nlon=xslice, time=t).plot(\n",
    "        ax=axs[2], \n",
    "        vmin=vmin2, vmax=vmax2, cmap='RdBu',\n",
    "        cbar_kwargs={'label': 'cm'}\n",
    "    )\n",
    "    axs[2].set_title('Small Scale SSH', fontsize=18);\n",
    "    axs[2].tick_params(axis='both', which='major', labelsize=12)\n",
    "\n",
    "    fig.tight_layout()\n",
    "    \n",
    "    if t<10:\n",
    "        plt.savefig(\"Images2/filtered_SSH_00\"+str(t)+\".jpg\")\n",
    "        \n",
    "    elif t>=10 and t<100:\n",
    "        plt.savefig(\"Images2/filtered_SSH_0\"+str(t)+\".jpg\")\n",
    "        \n",
    "    else:\n",
    "        plt.savefig(\"Images2/filtered_SSH_\"+str(t)+\".jpg\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "72bbe78d-119f-409b-967c-0c12f05088d6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ffmpeg version 5.1 Copyright (c) 2000-2022 the FFmpeg developers\n",
      "  built with gcc 10.4.0 (conda-forge gcc 10.4.0-16)\n",
      "  configuration: --prefix=/home/jovyan/.conda/envs/gcm-filters-env --cc=/home/conda/feedstock_root/build_artifacts/ffmpeg_1660333770726/_build_env/bin/x86_64-conda-linux-gnu-cc --cxx=/home/conda/feedstock_root/build_artifacts/ffmpeg_1660333770726/_build_env/bin/x86_64-conda-linux-gnu-c++ --nm=/home/conda/feedstock_root/build_artifacts/ffmpeg_1660333770726/_build_env/bin/x86_64-conda-linux-gnu-nm --ar=/home/conda/feedstock_root/build_artifacts/ffmpeg_1660333770726/_build_env/bin/x86_64-conda-linux-gnu-ar --disable-doc --disable-openssl --enable-demuxer=dash --enable-hardcoded-tables --enable-libfreetype --enable-libfontconfig --enable-libopenh264 --enable-gnutls --enable-libmp3lame --enable-libvpx --enable-pthreads --enable-vaapi --enable-gpl --enable-libx264 --enable-libx265 --enable-libaom --enable-libsvtav1 --enable-libxml2 --enable-pic --enable-shared --disable-static --enable-version3 --enable-zlib --pkg-config=/home/conda/feedstock_root/build_artifacts/ffmpeg_1660333770726/_build_env/bin/pkg-config\n",
      "  libavutil      57. 28.100 / 57. 28.100\n",
      "  libavcodec     59. 37.100 / 59. 37.100\n",
      "  libavformat    59. 27.100 / 59. 27.100\n",
      "  libavdevice    59.  7.100 / 59.  7.100\n",
      "  libavfilter     8. 44.100 /  8. 44.100\n",
      "  libswscale      6.  7.100 /  6.  7.100\n",
      "  libswresample   4.  7.100 /  4.  7.100\n",
      "  libpostproc    56.  6.100 / 56.  6.100\n",
      "Input #0, image2, from 'Images2/*.jpg':\n",
      "  Duration: 00:00:14.60, start: 0.000000, bitrate: N/A\n",
      "  Stream #0:0: Video: mjpeg (Baseline), yuvj420p(pc, bt470bg/unknown/unknown), 504x720 [SAR 72:72 DAR 7:10], 5 fps, 5 tbr, 5 tbn\n",
      "Stream mapping:\n",
      "  Stream #0:0 -> #0:0 (mjpeg (native) -> h264 (libx264))\n",
      "Press [q] to stop, [?] for help\n",
      "[libx264 @ 0x555dc3f57a40] using SAR=1/1\n",
      "[libx264 @ 0x555dc3f57a40] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2\n",
      "[libx264 @ 0x555dc3f57a40] profile High, level 2.2, 4:2:0, 8-bit\n",
      "[libx264 @ 0x555dc3f57a40] 264 - core 164 r3095 baee400 - H.264/MPEG-4 AVC codec - Copyleft 2003-2022 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=12 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=5 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00\n",
      "Output #0, mp4, to 'movie_SSH_scale10.mp4':\n",
      "  Metadata:\n",
      "    encoder         : Lavf59.27.100\n",
      "  Stream #0:0: Video: h264 (avc1 / 0x31637661), yuvj420p(pc, bt470bg/unknown/unknown, progressive), 504x720 [SAR 72:72 DAR 7:10], q=2-31, 5 fps, 10240 tbn\n",
      "    Metadata:\n",
      "      encoder         : Lavc59.37.100 libx264\n",
      "    Side data:\n",
      "      cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A\n",
      "frame=   73 fps= 36 q=-1.0 Lsize=    1595kB time=00:00:14.00 bitrate= 933.3kbits/s speed=6.83x       \n",
      "video:1593kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.108733%\n",
      "[libx264 @ 0x555dc3f57a40] frame I:1     Avg QP:14.78  size: 60754\n",
      "[libx264 @ 0x555dc3f57a40] frame P:18    Avg QP:20.50  size: 30972\n",
      "[libx264 @ 0x555dc3f57a40] frame B:54    Avg QP:25.03  size: 18751\n",
      "[libx264 @ 0x555dc3f57a40] consecutive B-frames:  1.4%  0.0%  0.0% 98.6%\n",
      "[libx264 @ 0x555dc3f57a40] mb I  I16..4: 36.0% 34.9% 29.1%\n",
      "[libx264 @ 0x555dc3f57a40] mb P  I16..4:  0.8% 13.1%  2.7%  P16..4:  7.6%  7.9%  6.7%  0.0%  0.0%    skip:61.2%\n",
      "[libx264 @ 0x555dc3f57a40] mb B  I16..4:  0.2%  1.8%  0.6%  B16..8: 10.9%  7.4%  4.7%  direct:11.6%  skip:62.8%  L0:35.2% L1:26.6% BI:38.2%\n",
      "[libx264 @ 0x555dc3f57a40] 8x8 transform intra:68.4% inter:76.3%\n",
      "[libx264 @ 0x555dc3f57a40] coded y,uvDC,uvAC intra: 80.4% 82.3% 77.8% inter: 23.8% 26.1% 18.8%\n",
      "[libx264 @ 0x555dc3f57a40] i16 v,h,dc,p: 61% 35%  4%  1%\n",
      "[libx264 @ 0x555dc3f57a40] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 13% 18% 25%  5%  7%  7%  7%  7% 10%\n",
      "[libx264 @ 0x555dc3f57a40] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 20% 16% 17%  7%  8%  9%  7%  8%  7%\n",
      "[libx264 @ 0x555dc3f57a40] i8c dc,h,v,p: 52% 23% 12% 13%\n",
      "[libx264 @ 0x555dc3f57a40] Weighted P-Frames: Y:0.0% UV:0.0%\n",
      "[libx264 @ 0x555dc3f57a40] ref P L0: 46.1% 16.0% 22.6% 15.3%\n",
      "[libx264 @ 0x555dc3f57a40] ref B L0: 82.5% 13.4%  4.1%\n",
      "[libx264 @ 0x555dc3f57a40] ref B L1: 93.2%  6.8%\n",
      "[libx264 @ 0x555dc3f57a40] kb/s:893.60\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(None, None)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create the movie from the figures\n",
    "import ffmpeg\n",
    "\n",
    "(  ffmpeg\n",
    "    .input('Images2/*.jpg', pattern_type='glob', framerate=5)\n",
    "    .output('movie_SSH_scale10.mp4')\n",
    "    .run()\n",
    ")\n"
   ]
  }
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