building_a_catalog_simplified.ipynb

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    "## Getting to grips with the ACCESS-NRI Intake Catalog\n",
    "\n",
    "There are three potential use cases for the ACCESS-NRI Intake Catalog:\n",
    "1. You want to access some data someone else has *generated and catalogued*.\n",
    "2. You want to *catalogue* some data you've generated.\n",
    "3. You want to *access* some data you've catalogued.\n",
    "\n",
    "\n",
    "Cases 2 & 3 can seem daunting - how do you build or access a custom catalog? This notebook should get you started, and will show you how to get to an ESM Datastore.\n",
    "\n",
    "___\n",
    "#### This notebook contains a basic example of how catalog an experiment & access the data in it using a simple wrapper function, and should get you up to speed with cataloging your experiments.\n",
    "___"
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    "### Imports, make sure we are in our home directory (don't change this until you're sure you know why you want to)\n",
    "!cd \n",
    "from pathlib import Path\n",
    "import intake \n",
    "from access_nri_intake.source.builders import AccessOm2Builder, AccessOm3Builder, AccessEsm15Builder, AccessCm2Builder\n"
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    "## Case 1: Accessing an experiment in the standard catalog"
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    "# We've picked a demo experiment name here. You can find all available experiments in the standard catalog by calling `intake.cat.access_nri`.\n",
    "experiment_name='01deg_jra55v13_ryf9091'\n",
    "\n",
    "cat = intake.cat.access_nri\n",
    "esm_ds = cat[experiment_name]\n",
    "# Note: We call this esm_ds as this object is an `esm_datastore`: see https://intake-esm.readthedocs.io/en/v2021.8.17/user-guide/overview.html#loading-a-catalog for more details\n",
    "esm_ds"
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       "    opening_m     (time, nj, ni) float32 39MB dask.array&lt;chunksize=(1, 675, 900), meta=np.ndarray&gt;\n",
       "    aicen_m       (time, nc, nj, ni) float32 194MB dask.array&lt;chunksize=(1, 1, 675, 900), meta=np.ndarray&gt;\n",
       "    vicen_m       (time, nc, nj, ni) float32 194MB dask.array&lt;chunksize=(1, 1, 675, 900), meta=np.ndarray&gt;\n",
       "    fmelttn_ai_m  (time, nc, nj, ni) float32 194MB dask.array&lt;chunksize=(1, 1, 675, 900), meta=np.ndarray&gt;\n",
       "    flatn_ai_m    (time, nc, nj, ni) float32 194MB dask.array&lt;chunksize=(1, 1, 675, 900), meta=np.ndarray&gt;\n",
       "Attributes: (12/24)\n",
       "    title:                                    sea ice model output for CICE\n",
       "    contents:                                 Diagnostic and Prognostic Varia...\n",
       "    source:                                   Los Alamos Sea Ice Model (CICE)...\n",
       "    comment:                                  This Year Has 365 days\n",
       "    comment2:                                 File written on model date 1900...\n",
       "    comment3:                                 seconds elapsed into model date...\n",
       "    ...                                       ...\n",
       "    intake_esm_attrs:variable_cell_methods:   ,,,,,,,,,,,,,,,,,,time: mean,ti...\n",
       "    intake_esm_attrs:variable_units:          days since 1900-01-01 00:00:00,...\n",
       "    intake_esm_attrs:filename:                iceh.1900-01.nc\n",
       "    intake_esm_attrs:file_id:                 iceh_XXXX_XX\n",
       "    intake_esm_attrs:_data_format_:           netcdf\n",
       "    intake_esm_dataset_key:                   iceh_XXXX_XX.1mon</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-af52da35-0e3d-4ee0-a7ba-1f4488cef071' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-af52da35-0e3d-4ee0-a7ba-1f4488cef071' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span>d2</span>: 2</li><li><span>nj</span>: 2700</li><li><span>ni</span>: 3600</li><li><span>nc</span>: 5</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ab7ce058-289a-4ab4-b990-7e1d66b8af6d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ab7ce058-289a-4ab4-b990-7e1d66b8af6d' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1900-02-01 00:00:00</div><input id='attrs-2974fcbe-99a5-4071-bfce-24e278cee482' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2974fcbe-99a5-4071-bfce-24e278cee482' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a582301-0faa-4a07-ae20-cf22687e72d8' class='xr-var-data-in' type='checkbox'><label for='data-7a582301-0faa-4a07-ae20-cf22687e72d8' title='Show/Hide data 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>model time</dd><dt><span>bounds :</span></dt><dd>time_bounds</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1900, 2, 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>TLON</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(675, 900), meta=np.ndarray&gt;</div><input id='attrs-fc96da5c-b4e5-448e-a6a6-e35fc830f6a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc96da5c-b4e5-448e-a6a6-e35fc830f6a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca499edf-2ef0-4a00-856b-f878538f85e2' class='xr-var-data-in' type='checkbox'><label for='data-ca499edf-2ef0-4a00-856b-f878538f85e2' title='Show/Hide data 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>T grid center longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 37.08 MiB </td>\n",
       "                        <td> 2.32 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                        <td> (675, 900) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 16 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"140\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"90\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"90\" />\n",
       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"90\" />\n",
       "  <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"90\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"90\" style=\"stroke-width:2\" />\n",
       "\n",
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       "\n",
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       "  <text x=\"60.000000\" y=\"110.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3600</text>\n",
       "  <text x=\"140.000000\" y=\"45.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,45.000000)\">2700</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TLAT</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(675, 900), meta=np.ndarray&gt;</div><input id='attrs-b5d2cbc8-bfc0-4262-8dea-7d7bcd030245' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5d2cbc8-bfc0-4262-8dea-7d7bcd030245' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e77f541e-b712-412e-a5c7-004c22613935' class='xr-var-data-in' type='checkbox'><label for='data-e77f541e-b712-412e-a5c7-004c22613935' title='Show/Hide data 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>T grid center latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 37.08 MiB </td>\n",
       "                        <td> 2.32 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                        <td> (675, 900) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 16 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"140\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"90\" style=\"stroke-width:2\" />\n",
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       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"90\" style=\"stroke-width:2\" />\n",
       "\n",
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       "\n",
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       "  <text x=\"140.000000\" y=\"45.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,45.000000)\">2700</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ULON</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(675, 900), meta=np.ndarray&gt;</div><input id='attrs-8324afaf-3190-4903-b7ed-9b6fa9b06adc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8324afaf-3190-4903-b7ed-9b6fa9b06adc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-014a6e49-663f-42d7-aced-48e9f0b3424b' class='xr-var-data-in' type='checkbox'><label for='data-014a6e49-663f-42d7-aced-48e9f0b3424b' title='Show/Hide data 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>U grid center longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 37.08 MiB </td>\n",
       "                        <td> 2.32 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                        <td> (675, 900) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 16 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"140\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "  <line x1=\"0\" y1=\"45\" x2=\"120\" y2=\"45\" />\n",
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       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"90\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "\n",
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       "  <text x=\"60.000000\" y=\"110.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3600</text>\n",
       "  <text x=\"140.000000\" y=\"45.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,45.000000)\">2700</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ULAT</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(675, 900), meta=np.ndarray&gt;</div><input id='attrs-58226e85-c32f-494e-b2ec-86da61f6b826' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58226e85-c32f-494e-b2ec-86da61f6b826' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-385ad7a3-8886-4cf5-9074-652bee060db1' class='xr-var-data-in' type='checkbox'><label for='data-385ad7a3-8886-4cf5-9074-652bee060db1' title='Show/Hide data 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>U grid center latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>comment :</span></dt><dd>Latitude of NE corner of T grid cell</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 37.08 MiB </td>\n",
       "                        <td> 2.32 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                        <td> (675, 900) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 16 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"140\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
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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>NCAT</span></div><div class='xr-var-dims'>(nc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5,), meta=np.ndarray&gt;</div><input id='attrs-e8b6a21a-1936-47b1-859d-ca84657c2bc6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8b6a21a-1936-47b1-859d-ca84657c2bc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0544fb92-40df-4687-83f3-905894fc3ab4' class='xr-var-data-in' type='checkbox'><label for='data-0544fb92-40df-4687-83f3-905894fc3ab4' title='Show/Hide data 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>category maximum thickness</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 20 B </td>\n",
       "                        <td> 20 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (5,) </td>\n",
       "                        <td> (5,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-dc5483d5-1f12-4e22-94dd-d5d14a8784c9' class='xr-section-summary-in' type='checkbox'  ><label for='section-dc5483d5-1f12-4e22-94dd-d5d14a8784c9' class='xr-section-summary' >Data variables: <span>(49)</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>time_bounds</span></div><div class='xr-var-dims'>(time, d2)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;</div><input id='attrs-6129c674-6d54-4aa9-a579-5975386db4e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6129c674-6d54-4aa9-a579-5975386db4e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d93199a-76dc-4cdc-85c7-9786373f7775' class='xr-var-data-in' type='checkbox'><label for='data-8d93199a-76dc-4cdc-85c7-9786373f7775' title='Show/Hide data 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>boundaries for time-averaging interval</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 16 B </td>\n",
       "                        <td> 16 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1, 2) </td>\n",
       "                        <td> (1, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> object numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tmask</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(675, 900), meta=np.ndarray&gt;</div><input id='attrs-ce3285cf-bef7-41dc-ba38-3a67dc3ea5b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce3285cf-bef7-41dc-ba38-3a67dc3ea5b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfbdad91-b187-48b7-ba00-0c344a49c383' class='xr-var-data-in' type='checkbox'><label for='data-dfbdad91-b187-48b7-ba00-0c344a49c383' title='Show/Hide data 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 grid mask</dd><dt><span>comment :</span></dt><dd>0 = land, 1 = ocean</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 37.08 MiB </td>\n",
       "                        <td> 2.32 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                        <td> (675, 900) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 16 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                </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>blkmask</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(675, 900), meta=np.ndarray&gt;</div><input id='attrs-c787ae5e-a083-4a4b-b7ac-74a607235193' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c787ae5e-a083-4a4b-b7ac-74a607235193' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebbb3da4-01f6-48e2-88f9-11b583965836' class='xr-var-data-in' type='checkbox'><label for='data-ebbb3da4-01f6-48e2-88f9-11b583965836' title='Show/Hide data 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>ice grid block mask</dd><dt><span>comment :</span></dt><dd>mytask + iblk/100</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 37.08 MiB </td>\n",
       "                        <td> 2.32 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                        <td> (675, 900) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 16 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tarea</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(675, 900), meta=np.ndarray&gt;</div><input id='attrs-3bf8b088-141c-41d8-a491-34436c0396f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3bf8b088-141c-41d8-a491-34436c0396f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-575d9514-0eba-462b-8eb2-7ce07d5b34ff' class='xr-var-data-in' type='checkbox'><label for='data-575d9514-0eba-462b-8eb2-7ce07d5b34ff' title='Show/Hide data 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 grid cells</dd><dt><span>units :</span></dt><dd>m^2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 37.08 MiB </td>\n",
       "                        <td> 2.32 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                        <td> (675, 900) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 16 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uarea</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(675, 900), meta=np.ndarray&gt;</div><input id='attrs-95bcb062-8894-4b07-8b8b-5ea6f778a1eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95bcb062-8894-4b07-8b8b-5ea6f778a1eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d24026c9-4864-41d0-93a9-d4fb87f9f10c' class='xr-var-data-in' type='checkbox'><label for='data-d24026c9-4864-41d0-93a9-d4fb87f9f10c' title='Show/Hide data 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 grid cells</dd><dt><span>units :</span></dt><dd>m^2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 37.08 MiB </td>\n",
       "                        <td> 2.32 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                        <td> (675, 900) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 16 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dxt</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(675, 900), meta=np.ndarray&gt;</div><input id='attrs-0fe3cb5c-3338-4a72-9e75-844f5d8ef727' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0fe3cb5c-3338-4a72-9e75-844f5d8ef727' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49ecb3a0-2e0d-4014-9475-5f5fc4dd47ec' class='xr-var-data-in' type='checkbox'><label for='data-49ecb3a0-2e0d-4014-9475-5f5fc4dd47ec' title='Show/Hide data 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>T cell width through middle</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 37.08 MiB </td>\n",
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       "                    <tr>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dyt</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(675, 900), meta=np.ndarray&gt;</div><input id='attrs-b1be142f-7c42-4031-b2ba-e0ca20e645dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1be142f-7c42-4031-b2ba-e0ca20e645dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b833a92d-a36d-414b-bd29-609f588a5c17' class='xr-var-data-in' type='checkbox'><label for='data-b833a92d-a36d-414b-bd29-609f588a5c17' title='Show/Hide data 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>T cell height through middle</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 37.08 MiB </td>\n",
       "                        <td> 2.32 MiB </td>\n",
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       "                    <tr>\n",
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       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dxu</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(675, 900), meta=np.ndarray&gt;</div><input id='attrs-e7f184ef-9f01-4bc6-b7f6-1cfcff65cc09' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7f184ef-9f01-4bc6-b7f6-1cfcff65cc09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d406814-06be-4dc8-9e3e-b08dec036a4c' class='xr-var-data-in' type='checkbox'><label for='data-1d406814-06be-4dc8-9e3e-b08dec036a4c' title='Show/Hide data 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>U cell width through middle</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                        <th> Array </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 37.08 MiB </td>\n",
       "                        <td> 2.32 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                        <td> (675, 900) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 16 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "            </table>\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'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(675, 900), meta=np.ndarray&gt;</div><input id='attrs-3b772557-3949-4c2c-8408-f0b7d1a646a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b772557-3949-4c2c-8408-f0b7d1a646a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-883f77af-a7a7-4ca3-86f1-e7b661a4878c' class='xr-var-data-in' type='checkbox'><label for='data-883f77af-a7a7-4ca3-86f1-e7b661a4878c' title='Show/Hide data 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>U cell height through middle</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                    <tr>\n",
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       "                        <th> Array </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 37.08 MiB </td>\n",
       "                        <td> 2.32 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2700, 3600) </td>\n",
       "                        <td> (675, 900) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 16 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "            </table>\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'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(675, 900), meta=np.ndarray&gt;</div><input id='attrs-afa1d09d-df0e-4a15-87e3-c075f02c5f3c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-afa1d09d-df0e-4a15-87e3-c075f02c5f3c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5290f511-c441-4c26-b7b8-35d710ca2206' class='xr-var-data-in' type='checkbox'><label for='data-5290f511-c441-4c26-b7b8-35d710ca2206' title='Show/Hide data 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>T cell width on North side</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 37.08 MiB </td>\n",
       "                        <td> 2.32 MiB </td>\n",
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       "                    <tr>\n",
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       "                        <td> (2700, 3600) </td>\n",
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       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ANGLE</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(675, 900), meta=np.ndarray&gt;</div><input id='attrs-dbbfe622-dbc9-45e6-8d6e-cb110de40a41' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dbbfe622-dbc9-45e6-8d6e-cb110de40a41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2a9beff-4fbf-4605-b953-e74109b09152' class='xr-var-data-in' type='checkbox'><label for='data-e2a9beff-4fbf-4605-b953-e74109b09152' title='Show/Hide data 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 U grid</dd><dt><span>units :</span></dt><dd>radians</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ANGLET</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(675, 900), meta=np.ndarray&gt;</div><input id='attrs-4bb24ed2-84c7-4e2d-92b5-0eaa992640cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bb24ed2-84c7-4e2d-92b5-0eaa992640cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-699539c8-f571-43cd-8d17-48f2272b272e' class='xr-var-data-in' type='checkbox'><label for='data-699539c8-f571-43cd-8d17-48f2272b272e' title='Show/Hide data 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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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hi_m</span></div><div class='xr-var-dims'>(time, nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 675, 900), meta=np.ndarray&gt;</div><input id='attrs-c92a27bc-d137-4394-9d87-8d4efd69f7af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c92a27bc-d137-4394-9d87-8d4efd69f7af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7edd808-bee0-4c99-8eff-a90c82e7060f' class='xr-var-data-in' type='checkbox'><label for='data-a7edd808-bee0-4c99-8eff-a90c82e7060f' title='Show/Hide data 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>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>grid cell mean ice thickness</dd><dt><span>cell_measures :</span></dt><dd>area: tarea</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_rep :</span></dt><dd>averaged</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> 37.08 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 37.08 MiB </td>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "                        <th> Array </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 37.08 MiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "                        <td> (1, 675, 900) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 16 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                        <td> 37.08 MiB </td>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 37.08 MiB </td>\n",
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       "        <td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 37.08 MiB </td>\n",
       "                        <td> 2.32 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (1, 675, 900) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 16 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                        <th> Bytes </th>\n",
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       "                        <td colspan=\"2\"> 16 chunks in 2 graph layers </td>\n",
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       "                        <th> Bytes </th>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 37.08 MiB </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fmelttn_ai_m</span></div><div class='xr-var-dims'>(time, nc, nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 675, 900), meta=np.ndarray&gt;</div><input id='attrs-789a757c-5c8d-46df-9404-b6a37a54c436' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-789a757c-5c8d-46df-9404-b6a37a54c436' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1819ebd9-c5ed-418e-94dd-621fb20107fb' class='xr-var-data-in' type='checkbox'><label for='data-1819ebd9-c5ed-418e-94dd-621fb20107fb' title='Show/Hide data 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>units :</span></dt><dd>W/m^2</dd><dt><span>long_name :</span></dt><dd>net sfc heat flux causing melt, cat</dd><dt><span>cell_measures :</span></dt><dd>area: tarea</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_rep :</span></dt><dd>averaged</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>flatn_ai_m</span></div><div class='xr-var-dims'>(time, nc, nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 675, 900), meta=np.ndarray&gt;</div><input id='attrs-ab51deba-6a31-4fed-b7b2-ba1efcfedb67' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab51deba-6a31-4fed-b7b2-ba1efcfedb67' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa1fc55b-8640-4670-94db-644adf7c24da' class='xr-var-data-in' type='checkbox'><label for='data-aa1fc55b-8640-4670-94db-644adf7c24da' title='Show/Hide data 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>units :</span></dt><dd>W/m^2</dd><dt><span>long_name :</span></dt><dd>latent heat flux, category</dd><dt><span>cell_measures :</span></dt><dd>area: tarea</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_rep :</span></dt><dd>averaged</dd></dl></div><div class='xr-var-data'><table>\n",
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       "  <text x=\"169.948598\" y=\"124.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3600</text>\n",
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       "  <text x=\"92.474299\" y=\"117.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,92.474299,117.474299)\">5</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-f73f0563-710b-4af8-b8d3-da5802cfc3b3' class='xr-section-summary-in' type='checkbox'  ><label for='section-f73f0563-710b-4af8-b8d3-da5802cfc3b3' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f9fd6668-603c-44c3-a85c-9aef1a3ff6e2' class='xr-index-data-in' type='checkbox'/><label for='index-f9fd6668-603c-44c3-a85c-9aef1a3ff6e2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([1900-02-01 00:00:00],\n",
       "            dtype=&#x27;object&#x27;, length=1, calendar=&#x27;noleap&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e2bf8872-ff47-4cb7-9dc6-50fe0c6bfac8' class='xr-section-summary-in' type='checkbox'  ><label for='section-e2bf8872-ff47-4cb7-9dc6-50fe0c6bfac8' class='xr-section-summary' >Attributes: <span>(24)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>sea ice model output for CICE</dd><dt><span>contents :</span></dt><dd>Diagnostic and Prognostic Variables</dd><dt><span>source :</span></dt><dd>Los Alamos Sea Ice Model (CICE) Version 5</dd><dt><span>comment :</span></dt><dd>This Year Has 365 days</dd><dt><span>comment2 :</span></dt><dd>File written on model date 19000201</dd><dt><span>comment3 :</span></dt><dd>seconds elapsed into model date:      0</dd><dt><span>conventions :</span></dt><dd>CF-1.0</dd><dt><span>history :</span></dt><dd>This dataset was created on 2019-06-30 at 13:56:35.9</dd><dt><span>io_flavor :</span></dt><dd>io_netcdf</dd><dt><span>intake_esm_vars :</span></dt><dd>[&#x27;time_bounds&#x27;, &#x27;TLON&#x27;, &#x27;TLAT&#x27;, &#x27;ULON&#x27;, &#x27;ULAT&#x27;, &#x27;NCAT&#x27;, &#x27;tmask&#x27;, &#x27;blkmask&#x27;, &#x27;tarea&#x27;, &#x27;uarea&#x27;, &#x27;dxt&#x27;, &#x27;dyt&#x27;, &#x27;dxu&#x27;, &#x27;dyu&#x27;, &#x27;HTN&#x27;, &#x27;HTE&#x27;, &#x27;ANGLE&#x27;, &#x27;ANGLET&#x27;, &#x27;hi_m&#x27;, &#x27;hs_m&#x27;, &#x27;Tsfc_m&#x27;, &#x27;aice_m&#x27;, &#x27;uvel_m&#x27;, &#x27;vvel_m&#x27;, &#x27;uatm_m&#x27;, &#x27;vatm_m&#x27;, &#x27;fswup_m&#x27;, &#x27;sst_m&#x27;, &#x27;sss_m&#x27;, &#x27;uocn_m&#x27;, &#x27;vocn_m&#x27;, &#x27;alvdr_ai_m&#x27;, &#x27;alidr_ai_m&#x27;, &#x27;alvdf_ai_m&#x27;, &#x27;alidf_ai_m&#x27;, &#x27;congel_m&#x27;, &#x27;frazil_m&#x27;, &#x27;fsalt_m&#x27;, &#x27;fsalt_ai_m&#x27;, &#x27;strairx_m&#x27;, &#x27;strairy_m&#x27;, &#x27;strength_m&#x27;, &#x27;divu_m&#x27;, &#x27;shear_m&#x27;, &#x27;sig1_m&#x27;, &#x27;sig2_m&#x27;, &#x27;mlt_onset_m&#x27;, &#x27;frz_onset_m&#x27;, &#x27;fmeltt_ai_m&#x27;, &#x27;opening_m&#x27;, &#x27;aicen_m&#x27;, &#x27;vicen_m&#x27;, &#x27;fmelttn_ai_m&#x27;, &#x27;flatn_ai_m&#x27;]</dd><dt><span>intake_esm_attrs:path :</span></dt><dd>/g/data/ik11/outputs/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.nc</dd><dt><span>intake_esm_attrs:realm :</span></dt><dd>seaIce</dd><dt><span>intake_esm_attrs:variable :</span></dt><dd>time_bounds,TLON,TLAT,ULON,ULAT,NCAT,tmask,blkmask,tarea,uarea,dxt,dyt,dxu,dyu,HTN,HTE,ANGLE,ANGLET,hi_m,hs_m,Tsfc_m,aice_m,uvel_m,vvel_m,uatm_m,vatm_m,fswup_m,sst_m,sss_m,uocn_m,vocn_m,alvdr_ai_m,alidr_ai_m,alvdf_ai_m,alidf_ai_m,congel_m,frazil_m,fsalt_m,fsalt_ai_m,strairx_m,strairy_m,strength_m,divu_m,shear_m,sig1_m,sig2_m,mlt_onset_m,frz_onset_m,fmeltt_ai_m,opening_m,aicen_m,vicen_m,fmelttn_ai_m,flatn_ai_m</dd><dt><span>intake_esm_attrs:frequency :</span></dt><dd>1mon</dd><dt><span>intake_esm_attrs:start_date :</span></dt><dd>1900-01-01, 00:00:00</dd><dt><span>intake_esm_attrs:end_date :</span></dt><dd>1900-02-01, 00:00:00</dd><dt><span>intake_esm_attrs:variable_long_name :</span></dt><dd>boundaries for time-averaging interval,T grid center longitude,T grid center latitude,U grid center longitude,U grid center latitude,category maximum thickness,ocean grid mask,ice grid block mask,area of T grid cells,area of U grid cells,T cell width through middle,T cell height through middle,U cell width through middle,U cell height through middle,T cell width on North side,T cell width on East side,angle grid makes with latitude line on U grid,angle grid makes with latitude line on T grid,grid cell mean ice thickness,grid cell mean snow thickness,snow/ice surface temperature,ice area  (aggregate),ice velocity (x),ice velocity (y),atm velocity (x),atm velocity (y),upward solar flux,sea surface temperature,sea surface salinity,ocean current (x),ocean current (y),visible direct albedo,near IR direct albedo,visible diffuse albedo,near IR diffuse albedo,congelation ice growth,frazil ice growth,salt flux ice to ocn (cpl),salt flux ice to ocean,atm/ice stress (x),atm/ice stress (y),compressive ice strength,strain rate (divergence),strain rate (shear),norm. principal stress 1,norm. principal stress 2,melt onset date,freeze onset date,net surface heat flux causing melt,lead area opening rate,ice area, categories,ice volume, categories,net sfc heat flux causing melt, cat,latent heat flux, category</dd><dt><span>intake_esm_attrs:variable_standard_name :</span></dt><dd>,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,</dd><dt><span>intake_esm_attrs:variable_cell_methods :</span></dt><dd>,,,,,,,,,,,,,,,,,,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean</dd><dt><span>intake_esm_attrs:variable_units :</span></dt><dd>days since 1900-01-01 00:00:00,degrees_east,degrees_north,degrees_east,degrees_north,m,,,m^2,m^2,m,m,m,m,m,m,radians,radians,m,m,C,1,m/s,m/s,m/s,m/s,W/m^2,C,ppt,m/s,m/s,%,%,%,%,cm/day,cm/day,kg/m^2/s,kg/m^2/s,N/m^2,N/m^2,N/m,%/day,%/day,1,1,day of year,day of year,W/m^2,%/day,1,m,W/m^2,W/m^2</dd><dt><span>intake_esm_attrs:filename :</span></dt><dd>iceh.1900-01.nc</dd><dt><span>intake_esm_attrs:file_id :</span></dt><dd>iceh_XXXX_XX</dd><dt><span>intake_esm_attrs:_data_format_ :</span></dt><dd>netcdf</dd><dt><span>intake_esm_dataset_key :</span></dt><dd>iceh_XXXX_XX.1mon</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 3GB\n",
       "Dimensions:       (time: 1, d2: 2, nj: 2700, ni: 3600, nc: 5)\n",
       "Coordinates:\n",
       "  * time          (time) object 8B 1900-02-01 00:00:00\n",
       "    TLON          (nj, ni) float32 39MB dask.array<chunksize=(675, 900), meta=np.ndarray>\n",
       "    TLAT          (nj, ni) float32 39MB dask.array<chunksize=(675, 900), meta=np.ndarray>\n",
       "    ULON          (nj, ni) float32 39MB dask.array<chunksize=(675, 900), meta=np.ndarray>\n",
       "    ULAT          (nj, ni) float32 39MB dask.array<chunksize=(675, 900), meta=np.ndarray>\n",
       "    NCAT          (nc) float32 20B dask.array<chunksize=(5,), meta=np.ndarray>\n",
       "Dimensions without coordinates: d2, nj, ni, nc\n",
       "Data variables: (12/49)\n",
       "    time_bounds   (time, d2) object 16B dask.array<chunksize=(1, 2), meta=np.ndarray>\n",
       "    tmask         (nj, ni) float32 39MB dask.array<chunksize=(675, 900), meta=np.ndarray>\n",
       "    blkmask       (nj, ni) float32 39MB dask.array<chunksize=(675, 900), meta=np.ndarray>\n",
       "    tarea         (nj, ni) float32 39MB dask.array<chunksize=(675, 900), meta=np.ndarray>\n",
       "    uarea         (nj, ni) float32 39MB dask.array<chunksize=(675, 900), meta=np.ndarray>\n",
       "    dxt           (nj, ni) float32 39MB dask.array<chunksize=(675, 900), meta=np.ndarray>\n",
       "    ...            ...\n",
       "    fmeltt_ai_m   (time, nj, ni) float32 39MB dask.array<chunksize=(1, 675, 900), meta=np.ndarray>\n",
       "    opening_m     (time, nj, ni) float32 39MB dask.array<chunksize=(1, 675, 900), meta=np.ndarray>\n",
       "    aicen_m       (time, nc, nj, ni) float32 194MB dask.array<chunksize=(1, 1, 675, 900), meta=np.ndarray>\n",
       "    vicen_m       (time, nc, nj, ni) float32 194MB dask.array<chunksize=(1, 1, 675, 900), meta=np.ndarray>\n",
       "    fmelttn_ai_m  (time, nc, nj, ni) float32 194MB dask.array<chunksize=(1, 1, 675, 900), meta=np.ndarray>\n",
       "    flatn_ai_m    (time, nc, nj, ni) float32 194MB dask.array<chunksize=(1, 1, 675, 900), meta=np.ndarray>\n",
       "Attributes: (12/24)\n",
       "    title:                                    sea ice model output for CICE\n",
       "    contents:                                 Diagnostic and Prognostic Varia...\n",
       "    source:                                   Los Alamos Sea Ice Model (CICE)...\n",
       "    comment:                                  This Year Has 365 days\n",
       "    comment2:                                 File written on model date 1900...\n",
       "    comment3:                                 seconds elapsed into model date...\n",
       "    ...                                       ...\n",
       "    intake_esm_attrs:variable_cell_methods:   ,,,,,,,,,,,,,,,,,,time: mean,ti...\n",
       "    intake_esm_attrs:variable_units:          days since 1900-01-01 00:00:00,...\n",
       "    intake_esm_attrs:filename:                iceh.1900-01.nc\n",
       "    intake_esm_attrs:file_id:                 iceh_XXXX_XX\n",
       "    intake_esm_attrs:_data_format_:           netcdf\n",
       "    intake_esm_dataset_key:                   iceh_XXXX_XX.1mon"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Now, if we wanted to subset and load some data, we could with, for example...\n",
    "first_result = esm_ds.df.head(1).path\n",
    "esm_ds.search(path=first_result).to_dask()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b388be4-2535-4e60-8397-159c80fe5811",
   "metadata": {},
   "source": [
    "## Case 2: Generating a custom catalog for your experiment\n",
    "\n",
    "We imported the builders above: pick from the one of these that matches the data you want to catalog. If you think you need a new builder, open an issue at https://github.com/ACCESS-NRI/access-nri-intake-catalog\n",
    "\n",
    "Pick a builder from the following to set as `\"builder\"` below:\n",
    "```python\n",
    "from access_nri_intake.source.builders import AccessOm2Builder, AccessOm3Builder, AccessEsm15Builder, AccessCm2Builder\n",
    "```\n",
    "eg:\n",
    "```python\n",
    "catalog_config = {\n",
    "    ...\n",
    "    \"builder\" : AccessESM15Builder, \n",
    "    ...\n",
    "}\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "1a90873e-16e5-49e2-b1d4-edb05f510db8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set Config in this cell\n",
    "catalog_config = {\n",
    "      \"experiment_output_path\" : \"/g/data/ik11/outputs/access-om2/1deg_iamip2_CMCC-ESM2ssp126\", # Point this to your model output\n",
    "      \"builder\" : AccessOm2Builder, # This must be one of the builders imported above. If you need a new builder, get in touch!\n",
    "      \"catalog_directory\" : \"./catalog_demo\",\n",
    "      \"catalog_name\" : \"demo_datastore\",\n",
    "      \"description\" : \"An example datastore for ACCESS-OM2 1deg_iamip2_CMCC-ESM2ssp126\",\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b958a0de-940d-4289-aa9e-5c4ba317b3ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No catalog found at specified output location: catalog_demo/demo_datastore.json. Building catalog...\n",
      "This could take a few minutes...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/189/ct1163/access-nri-intake-catalog/src/access_nri_intake/source/utils.py:111: UserWarning: Time coordinate does not include bounds information. Guessing start and end times.\n",
      "  warnings.warn(\n",
      "/home/189/ct1163/access-nri-intake-catalog/src/access_nri_intake/source/utils.py:111: UserWarning: Time coordinate does not include bounds information. Guessing start and end times.\n",
      "  warnings.warn(\n",
      "/home/189/ct1163/access-nri-intake-catalog/src/access_nri_intake/source/utils.py:111: UserWarning: Time coordinate does not include bounds information. Guessing start and end times.\n",
      "  warnings.warn(\n",
      "/home/189/ct1163/access-nri-intake-catalog/src/access_nri_intake/source/utils.py:111: UserWarning: Time coordinate does not include bounds information. Guessing start and end times.\n",
      "  warnings.warn(\n",
      "/home/189/ct1163/access-nri-intake-catalog/src/access_nri_intake/source/utils.py:111: UserWarning: Time coordinate does not include bounds information. Guessing start and end times.\n",
      "  warnings.warn(\n",
      "/home/189/ct1163/access-nri-intake-catalog/src/access_nri_intake/source/utils.py:111: UserWarning: Time coordinate does not include bounds information. Guessing start and end times.\n",
      "  warnings.warn(\n",
      "/home/189/ct1163/access-nri-intake-catalog/src/access_nri_intake/source/utils.py:111: UserWarning: Time coordinate does not include bounds information. Guessing start and end times.\n",
      "  warnings.warn(\n",
      "/home/189/ct1163/access-nri-intake-catalog/src/access_nri_intake/source/utils.py:111: UserWarning: Time coordinate does not include bounds information. Guessing start and end times.\n",
      "  warnings.warn(\n",
      "/home/189/ct1163/access-nri-intake-catalog/src/access_nri_intake/source/utils.py:111: UserWarning: Time coordinate does not include bounds information. Guessing start and end times.\n",
      "  warnings.warn(\n",
      "/home/189/ct1163/access-nri-intake-catalog/src/access_nri_intake/source/utils.py:111: UserWarning: Time coordinate does not include bounds information. Guessing start and end times.\n",
      "  warnings.warn(\n",
      "/home/189/ct1163/access-nri-intake-catalog/src/access_nri_intake/source/utils.py:111: UserWarning: Time coordinate does not include bounds information. Guessing start and end times.\n",
      "  warnings.warn(\n",
      "/home/189/ct1163/access-nri-intake-catalog/src/access_nri_intake/source/utils.py:111: UserWarning: Time coordinate does not include bounds information. Guessing start and end times.\n",
      "  warnings.warn(\n",
      "/home/189/ct1163/access-nri-intake-catalog/src/access_nri_intake/source/utils.py:111: UserWarning: Time coordinate does not include bounds information. Guessing start and end times.\n",
      "  warnings.warn(\n",
      "/home/189/ct1163/access-nri-intake-catalog/src/access_nri_intake/source/utils.py:111: UserWarning: Time coordinate does not include bounds information. Guessing start and end times.\n",
      "  warnings.warn(\n",
      "/home/189/ct1163/access-nri-intake-catalog/src/access_nri_intake/source/utils.py:111: UserWarning: Time coordinate does not include bounds information. Guessing start and end times.\n",
      "  warnings.warn(\n",
      "/home/189/ct1163/access-nri-intake-catalog/src/access_nri_intake/source/utils.py:111: UserWarning: Time coordinate does not include bounds information. Guessing start and end times.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Successfully wrote ESM catalog json file to: file:///home/189/ct1163/catalog_demo/demo_datastore.json\n",
      "Catalog built successfully!\n"
     ]
    }
   ],
   "source": [
    "# This cell defines and runs a  function which will build and save our catalog.\n",
    "def create_catalog(catalog_config):\n",
    "    \"\"\"\n",
    "    Takes the `catalog_config` dictionary in the cell above and builds a catalog with the specified options\n",
    "    \"\"\"\n",
    "    \n",
    "    catalog_fname = Path(catalog_config[\"catalog_directory\"]) / f\"{catalog_config['catalog_name']}.json\"\n",
    "\n",
    "    catalog_written = catalog_fname.exists()\n",
    "    \n",
    "    parent_dir = catalog_fname.parent\n",
    "    if not parent_dir.exists():\n",
    "        parent_dir.mkdir(parents=True)\n",
    "\n",
    "    if not catalog_written:\n",
    "        print(f\"No catalog found at specified output location: {catalog_fname}. Building catalog...\")\n",
    "        print(\"This could take a few minutes...\")\n",
    "        \n",
    "        builder = AccessOm2Builder(\n",
    "            path=catalog_config[\"experiment_output_path\"]\n",
    "        ).build()\n",
    "        \n",
    "        builder.save(\n",
    "            name=catalog_config[\"catalog_name\"],\n",
    "            directory=catalog_config[\"catalog_directory\"],\n",
    "            description=catalog_config[\"description\"],\n",
    "        )\n",
    "        print(\"Catalog built successfully!\")\n",
    "    else:\n",
    "        print(f\"Catalog alerady found at specified output location: {catalog_fname}. Did you mean to open it?\")\n",
    "        \n",
    "\n",
    "# Now run it!\n",
    "create_catalog(catalog_config)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18cf2c20-f4a2-4189-9ba6-c6910c3b6c6e",
   "metadata": {},
   "source": [
    "## Case 3: Using a custom catalog\n",
    "\n",
    "Once we've built a custom catalog, we can open it using the convenience function defined below - it uses the same configuration dictionary `catalog_config`, and so *nothing needs to be changed - just run the cell*. This will give us the same type of object that we got in __Case 1__ above, so from this point onwards, we can use it as if it were the standard catalog.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "122745d5-d4e0-4f48-ad93-857093b7eef7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Catalog found at specified output location: catalog_demo/demo_datastore.json. Opening catalog...\n"
     ]
    }
   ],
   "source": [
    "# This cell defines and runs a function which will open our catalog.\n",
    "def open_catalog(catalog_config):\n",
    "    \"\"\"\n",
    "    Looks for a catalog in the specified output location & attempts to open it\n",
    "    \"\"\"\n",
    "    \n",
    "    catalog_fname = Path(catalog_config[\"catalog_directory\"]) / f\"{catalog_config['catalog_name']}.json\"\n",
    "\n",
    "    if not catalog_fname.exists():\n",
    "        print(f\"No catalog found at specified output location: {catalog_fname}. Did you mean to build a catalog?\")\n",
    "    else:\n",
    "        print(f\"Catalog found at specified output location: {catalog_fname}. Opening catalog...\")\n",
    "        \n",
    "    cat = intake.open_esm_datastore(\n",
    "        catalog_fname,\n",
    "        columns_with_iterables=[\"variable\"] # We need to tell the datastore that the variable_column contains iterables or it won't work correctly\n",
    "    )\n",
    "\n",
    "    return cat\n",
    "\n",
    "# Now run it!\n",
    "custom_esm_ds = open_catalog(catalog_config)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f6c1613b-ee19-4da2-bd65-643c7a0185c5",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2GB\n",
       "Dimensions:      (time: 365, d2: 2, nj: 300, ni: 360, nc: 5)\n",
       "Coordinates:\n",
       "  * time         (time) datetime64[ns] 3kB 2015-01-02 2015-01-03 ... 2016-01-01\n",
       "    TLON         (nj, ni) float32 432kB dask.array&lt;chunksize=(150, 180), meta=np.ndarray&gt;\n",
       "    TLAT         (nj, ni) float32 432kB dask.array&lt;chunksize=(150, 180), meta=np.ndarray&gt;\n",
       "    ULON         (nj, ni) float32 432kB dask.array&lt;chunksize=(150, 180), meta=np.ndarray&gt;\n",
       "    ULAT         (nj, ni) float32 432kB dask.array&lt;chunksize=(150, 180), meta=np.ndarray&gt;\n",
       "Dimensions without coordinates: d2, nj, ni, nc\n",
       "Data variables: (12/24)\n",
       "    time_bounds  (time, d2) datetime64[ns] 6kB dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;\n",
       "    NCAT         (nc) float32 20B dask.array&lt;chunksize=(5,), meta=np.ndarray&gt;\n",
       "    tmask        (nj, ni) float32 432kB dask.array&lt;chunksize=(150, 180), meta=np.ndarray&gt;\n",
       "    blkmask      (nj, ni) float32 432kB dask.array&lt;chunksize=(150, 180), meta=np.ndarray&gt;\n",
       "    tarea        (nj, ni) float32 432kB dask.array&lt;chunksize=(150, 180), meta=np.ndarray&gt;\n",
       "    dxt          (nj, ni) float32 432kB dask.array&lt;chunksize=(150, 180), meta=np.ndarray&gt;\n",
       "    ...           ...\n",
       "    algal_N      (time, nj, ni) float32 158MB dask.array&lt;chunksize=(1, 150, 180), meta=np.ndarray&gt;\n",
       "    skl_Nit      (time, nj, ni) float32 158MB dask.array&lt;chunksize=(1, 150, 180), meta=np.ndarray&gt;\n",
       "    ml_Nit       (time, nj, ni) float32 158MB dask.array&lt;chunksize=(1, 150, 180), meta=np.ndarray&gt;\n",
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       "Attributes: (12/27)\n",
       "    title:                                    sea ice model output for CICE\n",
       "    contents:                                 Diagnostic and Prognostic Varia...\n",
       "    source:                                   Los Alamos Sea Ice Model (CICE)...\n",
       "    time_period_freq:                         day_1\n",
       "    comment:                                  This year has 365 days\n",
       "    comment2:                                 File written on model date 2015...\n",
       "    ...                                       ...\n",
       "    intake_esm_attrs:variable_standard_name:  [&#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;...\n",
       "    intake_esm_attrs:variable_cell_methods:   [&#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;...\n",
       "    intake_esm_attrs:variable_units:          [&#x27;days since 2015-01-01 00:00:0...\n",
       "    intake_esm_attrs:realm:                   seaIce\n",
       "    intake_esm_attrs:_data_format_:           netcdf\n",
       "    intake_esm_dataset_key:                   iceh_XXX_daily.1day</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-f57aef0f-5b1c-4d91-9f9a-a509457b71cf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f57aef0f-5b1c-4d91-9f9a-a509457b71cf' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 365</li><li><span>d2</span>: 2</li><li><span>nj</span>: 300</li><li><span>ni</span>: 360</li><li><span>nc</span>: 5</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c98dbf82-d81f-4a33-b7ad-5188183381c4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c98dbf82-d81f-4a33-b7ad-5188183381c4' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2015-01-02 ... 2016-01-01</div><input id='attrs-51a27097-0c99-42ab-81a5-6ac16c94fd65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51a27097-0c99-42ab-81a5-6ac16c94fd65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea3ab75c-3c25-46b4-81f7-b91ad1e1f573' class='xr-var-data-in' type='checkbox'><label for='data-ea3ab75c-3c25-46b4-81f7-b91ad1e1f573' title='Show/Hide data 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>model time</dd><dt><span>bounds :</span></dt><dd>time_bounds</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2015-01-02T00:00:00.000000000&#x27;, &#x27;2015-01-03T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-01-04T00:00:00.000000000&#x27;, ..., &#x27;2015-12-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-12-31T00:00:00.000000000&#x27;, &#x27;2016-01-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TLON</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(150, 180), meta=np.ndarray&gt;</div><input id='attrs-6231a4fc-9c37-44ef-835d-9300fbbccc43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6231a4fc-9c37-44ef-835d-9300fbbccc43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19c0aa2f-abd5-42ce-9348-edf893a7cc96' class='xr-var-data-in' type='checkbox'><label for='data-19c0aa2f-abd5-42ce-9348-edf893a7cc96' title='Show/Hide data 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>T grid center longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 421.88 kiB </td>\n",
       "                        <td> 105.47 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (300, 360) </td>\n",
       "                        <td> (150, 180) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 4 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                </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'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(150, 180), meta=np.ndarray&gt;</div><input id='attrs-abe2ffb4-f8a1-4e19-9f2a-9f5d88e1a195' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-abe2ffb4-f8a1-4e19-9f2a-9f5d88e1a195' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af0d3ddb-3046-49f3-be23-84f4acc49e16' class='xr-var-data-in' type='checkbox'><label for='data-af0d3ddb-3046-49f3-be23-84f4acc49e16' title='Show/Hide data 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>T grid center latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 421.88 kiB </td>\n",
       "                        <td> 105.47 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (300, 360) </td>\n",
       "                        <td> (150, 180) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 4 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ULON</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(150, 180), meta=np.ndarray&gt;</div><input id='attrs-2b9dbbd8-4a4c-4cda-8d28-e9d50316da23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b9dbbd8-4a4c-4cda-8d28-e9d50316da23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a086d341-7f21-4e3a-bf6b-83be86d85043' class='xr-var-data-in' type='checkbox'><label for='data-a086d341-7f21-4e3a-bf6b-83be86d85043' title='Show/Hide data 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>U grid center longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 421.88 kiB </td>\n",
       "                        <td> 105.47 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (300, 360) </td>\n",
       "                        <td> (150, 180) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 4 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                </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>ULAT</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(150, 180), meta=np.ndarray&gt;</div><input id='attrs-c05165b8-640a-40fe-8dde-85457360dbc8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c05165b8-640a-40fe-8dde-85457360dbc8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09bcb946-b351-4be1-a3a8-4b9dd99cae04' class='xr-var-data-in' type='checkbox'><label for='data-09bcb946-b351-4be1-a3a8-4b9dd99cae04' title='Show/Hide data 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>U grid center latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>comment :</span></dt><dd>Latitude of NE corner of T grid cell</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 421.88 kiB </td>\n",
       "                        <td> 105.47 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (300, 360) </td>\n",
       "                        <td> (150, 180) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 4 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        </td>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-f109d591-0a43-42fc-88be-6ca96d56950f' class='xr-section-summary-in' type='checkbox'  ><label for='section-f109d591-0a43-42fc-88be-6ca96d56950f' class='xr-section-summary' >Data variables: <span>(24)</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>time_bounds</span></div><div class='xr-var-dims'>(time, d2)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;</div><input id='attrs-c42125be-e80e-44c0-8630-aba7cc01906a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c42125be-e80e-44c0-8630-aba7cc01906a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca1d642f-2d58-4c38-b032-5f94b60482a8' class='xr-var-data-in' type='checkbox'><label for='data-ca1d642f-2d58-4c38-b032-5f94b60482a8' title='Show/Hide data 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>boundaries for time-averaging interval</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.70 kiB </td>\n",
       "                        <td> 16 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (365, 2) </td>\n",
       "                        <td> (1, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 365 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> datetime64[ns] numpy.ndarray </td>\n",
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       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NCAT</span></div><div class='xr-var-dims'>(nc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5,), meta=np.ndarray&gt;</div><input id='attrs-81d9c759-327f-4065-a261-f8259ab5b16c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81d9c759-327f-4065-a261-f8259ab5b16c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-341c825f-05de-4b08-ba8f-478ae23b96b7' class='xr-var-data-in' type='checkbox'><label for='data-341c825f-05de-4b08-ba8f-478ae23b96b7' title='Show/Hide data 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>category maximum thickness</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                    <tr>\n",
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       "                        <th> Array </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 20 B </td>\n",
       "                        <td> 20 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (5,) </td>\n",
       "                        <td> (5,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tmask</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(150, 180), meta=np.ndarray&gt;</div><input id='attrs-cece4c72-ec59-4c54-a9df-2c5245d58f60' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cece4c72-ec59-4c54-a9df-2c5245d58f60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b036ad55-b394-409c-b695-c48f11d9942a' class='xr-var-data-in' type='checkbox'><label for='data-b036ad55-b394-409c-b695-c48f11d9942a' title='Show/Hide data 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 grid mask</dd><dt><span>comment :</span></dt><dd>0 = land, 1 = ocean</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 421.88 kiB </td>\n",
       "                        <td> 105.47 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (300, 360) </td>\n",
       "                        <td> (150, 180) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 4 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"150\" 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>blkmask</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(150, 180), meta=np.ndarray&gt;</div><input id='attrs-c7f3f4cf-5ba4-457c-9977-c12bc1a65c62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7f3f4cf-5ba4-457c-9977-c12bc1a65c62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98e06f3f-44de-4cac-aa17-7e61b5e03e72' class='xr-var-data-in' type='checkbox'><label for='data-98e06f3f-44de-4cac-aa17-7e61b5e03e72' title='Show/Hide data 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>ice grid block mask</dd><dt><span>comment :</span></dt><dd>mytask + iblk/100</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 421.88 kiB </td>\n",
       "                        <td> 105.47 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (300, 360) </td>\n",
       "                        <td> (150, 180) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 4 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"150\" 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>tarea</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(150, 180), meta=np.ndarray&gt;</div><input id='attrs-97fb8e30-8f93-41cb-8f38-61f989e8db6c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97fb8e30-8f93-41cb-8f38-61f989e8db6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28923a81-d100-4487-a796-a38c441ad6d4' class='xr-var-data-in' type='checkbox'><label for='data-28923a81-d100-4487-a796-a38c441ad6d4' title='Show/Hide data 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 grid cells</dd><dt><span>units :</span></dt><dd>m^2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 421.88 kiB </td>\n",
       "                        <td> 105.47 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (300, 360) </td>\n",
       "                        <td> (150, 180) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 4 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"150\" 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>dxt</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(150, 180), meta=np.ndarray&gt;</div><input id='attrs-3fda1243-a228-4f42-8c65-b3b4c3d975cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fda1243-a228-4f42-8c65-b3b4c3d975cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-010ab2eb-2b2e-49ea-8d1b-3acdb9fea337' class='xr-var-data-in' type='checkbox'><label for='data-010ab2eb-2b2e-49ea-8d1b-3acdb9fea337' title='Show/Hide data 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>T cell width through middle</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 421.88 kiB </td>\n",
       "                        <td> 105.47 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (300, 360) </td>\n",
       "                        <td> (150, 180) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 4 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"150\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dyt</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(150, 180), meta=np.ndarray&gt;</div><input id='attrs-0b1d480a-1430-4f7d-a108-b76936a817a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b1d480a-1430-4f7d-a108-b76936a817a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-303969a1-8e2f-4403-90d9-9265aec41921' class='xr-var-data-in' type='checkbox'><label for='data-303969a1-8e2f-4403-90d9-9265aec41921' title='Show/Hide data 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>T cell height through middle</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 421.88 kiB </td>\n",
       "                        <td> 105.47 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (300, 360) </td>\n",
       "                        <td> (150, 180) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 4 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"150\" 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>dxu</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(150, 180), meta=np.ndarray&gt;</div><input id='attrs-1413b593-953d-4c29-b5b5-5cfe46d9ce00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1413b593-953d-4c29-b5b5-5cfe46d9ce00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cdc340dc-abad-4730-8c89-d797b1559118' class='xr-var-data-in' type='checkbox'><label for='data-cdc340dc-abad-4730-8c89-d797b1559118' title='Show/Hide data 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>U cell width through middle</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 421.88 kiB </td>\n",
       "                        <td> 105.47 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (300, 360) </td>\n",
       "                        <td> (150, 180) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 4 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </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'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(150, 180), meta=np.ndarray&gt;</div><input id='attrs-c8265135-2bdc-41e2-bbc7-9b69a85df72a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8265135-2bdc-41e2-bbc7-9b69a85df72a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9045088-3f2d-4e60-9216-e409ee17c221' class='xr-var-data-in' type='checkbox'><label for='data-d9045088-3f2d-4e60-9216-e409ee17c221' title='Show/Hide data 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>U cell height through middle</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 421.88 kiB </td>\n",
       "                        <td> 105.47 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (300, 360) </td>\n",
       "                        <td> (150, 180) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 4 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"150\" 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>HTN</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(150, 180), meta=np.ndarray&gt;</div><input id='attrs-76d2dad8-9840-42d0-a5c8-984ac58212ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76d2dad8-9840-42d0-a5c8-984ac58212ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2401464a-f796-43e7-b164-55f761dbb393' class='xr-var-data-in' type='checkbox'><label for='data-2401464a-f796-43e7-b164-55f761dbb393' title='Show/Hide data 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>T cell width on North side</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 421.88 kiB </td>\n",
       "                        <td> 105.47 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (300, 360) </td>\n",
       "                        <td> (150, 180) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 4 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"150\" 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'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(150, 180), meta=np.ndarray&gt;</div><input id='attrs-9bc0a122-b845-4ba7-8497-2af70fc92310' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9bc0a122-b845-4ba7-8497-2af70fc92310' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ccbac3e5-a9f9-48f1-9555-076531d05844' class='xr-var-data-in' type='checkbox'><label for='data-ccbac3e5-a9f9-48f1-9555-076531d05844' title='Show/Hide data 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>T cell width on East side</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 421.88 kiB </td>\n",
       "                        <td> 105.47 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (300, 360) </td>\n",
       "                        <td> (150, 180) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 4 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"150\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "  <line x1=\"0\" y1=\"100\" x2=\"120\" y2=\"100\" style=\"stroke-width:2\" />\n",
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       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"100\" style=\"stroke-width:2\" />\n",
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       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"100\" 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>ANGLE</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(150, 180), meta=np.ndarray&gt;</div><input id='attrs-f5957954-1253-400e-b8f5-d31a0a4e93bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5957954-1253-400e-b8f5-d31a0a4e93bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43a7176b-afe4-41fe-8f20-8a4270593072' class='xr-var-data-in' type='checkbox'><label for='data-43a7176b-afe4-41fe-8f20-8a4270593072' title='Show/Hide data 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 U grid</dd><dt><span>units :</span></dt><dd>radians</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 421.88 kiB </td>\n",
       "                        <td> 105.47 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (300, 360) </td>\n",
       "                        <td> (150, 180) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 4 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"150\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "  <line x1=\"0\" y1=\"100\" x2=\"120\" y2=\"100\" style=\"stroke-width:2\" />\n",
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       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"100\" style=\"stroke-width:2\" />\n",
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       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"100\" style=\"stroke-width:2\" />\n",
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       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,100.0 0.0,100.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\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'>(nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(150, 180), meta=np.ndarray&gt;</div><input id='attrs-9c7420d8-8d8f-42d2-a750-936a50bba8dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c7420d8-8d8f-42d2-a750-936a50bba8dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7cba77b-58b6-496a-a4bf-f5259158ff24' class='xr-var-data-in' type='checkbox'><label for='data-f7cba77b-58b6-496a-a4bf-f5259158ff24' title='Show/Hide data 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 style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 421.88 kiB </td>\n",
       "                        <td> 105.47 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (300, 360) </td>\n",
       "                        <td> (150, 180) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 4 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"150\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hi</span></div><div class='xr-var-dims'>(time, nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 150, 180), meta=np.ndarray&gt;</div><input id='attrs-c657d6d1-f823-4bcd-8009-23a805df65e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c657d6d1-f823-4bcd-8009-23a805df65e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-977588e1-4efc-47a0-a9b5-f1bde3e6d1cd' class='xr-var-data-in' type='checkbox'><label for='data-977588e1-4efc-47a0-a9b5-f1bde3e6d1cd' title='Show/Hide data 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>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>grid cell mean ice thickness</dd><dt><span>cell_measures :</span></dt><dd>area: tarea</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_rep :</span></dt><dd>averaged</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 150.38 MiB </td>\n",
       "                        <td> 105.47 kiB </td>\n",
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       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hs</span></div><div class='xr-var-dims'>(time, nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 150, 180), meta=np.ndarray&gt;</div><input id='attrs-1915bd03-53a9-4e85-b64d-5b7f86f33fad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1915bd03-53a9-4e85-b64d-5b7f86f33fad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75a948d2-bc05-4150-b849-1761c96cbd4b' class='xr-var-data-in' type='checkbox'><label for='data-75a948d2-bc05-4150-b849-1761c96cbd4b' title='Show/Hide data 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>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>grid cell mean snow thickness</dd><dt><span>cell_measures :</span></dt><dd>area: tarea</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_rep :</span></dt><dd>averaged</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tair</span></div><div class='xr-var-dims'>(time, nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 150, 180), meta=np.ndarray&gt;</div><input id='attrs-debb79e1-fb5f-44ad-9126-ad2dbd49ae08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-debb79e1-fb5f-44ad-9126-ad2dbd49ae08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79587573-384d-4063-aa4a-e810d2b161c2' class='xr-var-data-in' type='checkbox'><label for='data-79587573-384d-4063-aa4a-e810d2b161c2' title='Show/Hide data 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>units :</span></dt><dd>C</dd><dt><span>long_name :</span></dt><dd>air temperature</dd><dt><span>cell_measures :</span></dt><dd>area: tarea</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_rep :</span></dt><dd>averaged</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                </thead>\n",
       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 150.38 MiB </td>\n",
       "                        <td> 105.47 kiB </td>\n",
       "                    </tr>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (1, 150, 180) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fswthru_ai</span></div><div class='xr-var-dims'>(time, nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 150, 180), meta=np.ndarray&gt;</div><input id='attrs-b625b49d-f32c-46f9-b281-0421631cc84f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b625b49d-f32c-46f9-b281-0421631cc84f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1c23907-37d8-4bf0-8da3-5b279f5049b7' class='xr-var-data-in' type='checkbox'><label for='data-d1c23907-37d8-4bf0-8da3-5b279f5049b7' title='Show/Hide data 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>units :</span></dt><dd>W/m^2</dd><dt><span>long_name :</span></dt><dd>SW flux thru ice to ocean</dd><dt><span>cell_measures :</span></dt><dd>area: tarea</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_rep :</span></dt><dd>averaged</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 150.38 MiB </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>algal_N</span></div><div class='xr-var-dims'>(time, nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 150, 180), meta=np.ndarray&gt;</div><input id='attrs-5f2316fe-4b62-4227-8713-729a30c3646d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f2316fe-4b62-4227-8713-729a30c3646d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58f391d0-8bb4-408c-8048-46aae84222d6' class='xr-var-data-in' type='checkbox'><label for='data-58f391d0-8bb4-408c-8048-46aae84222d6' title='Show/Hide data 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>units :</span></dt><dd>mmol/m^2</dd><dt><span>long_name :</span></dt><dd>ice bottom algae (nitrogen)</dd><dt><span>cell_measures :</span></dt><dd>area: tarea</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_rep :</span></dt><dd>averaged</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 150.38 MiB </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>skl_Nit</span></div><div class='xr-var-dims'>(time, nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 150, 180), meta=np.ndarray&gt;</div><input id='attrs-8241d5c4-db36-4a0b-9a46-79af286c68c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8241d5c4-db36-4a0b-9a46-79af286c68c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59380abc-b710-4f3f-8334-a099bc2f30cd' class='xr-var-data-in' type='checkbox'><label for='data-59380abc-b710-4f3f-8334-a099bc2f30cd' title='Show/Hide data 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>units :</span></dt><dd>mmol/m^2</dd><dt><span>long_name :</span></dt><dd>skeletal nutrient (nitrate)</dd><dt><span>cell_measures :</span></dt><dd>area: tarea</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_rep :</span></dt><dd>averaged</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fNO_ai</span></div><div class='xr-var-dims'>(time, nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 150, 180), meta=np.ndarray&gt;</div><input id='attrs-919269ee-4926-4a40-a971-8c22890ddcf9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-919269ee-4926-4a40-a971-8c22890ddcf9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d431ee7a-e75e-48b2-99ac-d90fb7e16fb1' class='xr-var-data-in' type='checkbox'><label for='data-d431ee7a-e75e-48b2-99ac-d90fb7e16fb1' title='Show/Hide data 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>units :</span></dt><dd>mmol/m^2/s</dd><dt><span>long_name :</span></dt><dd>nitrate flux ice to ocean</dd><dt><span>cell_measures :</span></dt><dd>area: tarea</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_rep :</span></dt><dd>averaged</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PP_net</span></div><div class='xr-var-dims'>(time, nj, ni)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 150, 180), meta=np.ndarray&gt;</div><input id='attrs-7e440d06-b10a-4242-b622-f87e40e8b45a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e440d06-b10a-4242-b622-f87e40e8b45a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4300965c-92db-4435-ac77-fe750cd240f8' class='xr-var-data-in' type='checkbox'><label for='data-4300965c-92db-4435-ac77-fe750cd240f8' title='Show/Hide data 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>units :</span></dt><dd>mg C/d/m^2</dd><dt><span>long_name :</span></dt><dd>Net Primary Production</dd><dt><span>cell_measures :</span></dt><dd>area: tarea</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_rep :</span></dt><dd>averaged</dd></dl></div><div class='xr-var-data'><table>\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> 150.38 MiB </td>\n",
       "                        <td> 105.47 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (365, 300, 360) </td>\n",
       "                        <td> (1, 150, 180) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1460 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "               &#x27;2015-01-06&#x27;, &#x27;2015-01-07&#x27;, &#x27;2015-01-08&#x27;, &#x27;2015-01-09&#x27;,\n",
       "               &#x27;2015-01-10&#x27;, &#x27;2015-01-11&#x27;,\n",
       "               ...\n",
       "               &#x27;2015-12-23&#x27;, &#x27;2015-12-24&#x27;, &#x27;2015-12-25&#x27;, &#x27;2015-12-26&#x27;,\n",
       "               &#x27;2015-12-27&#x27;, &#x27;2015-12-28&#x27;, &#x27;2015-12-29&#x27;, &#x27;2015-12-30&#x27;,\n",
       "               &#x27;2015-12-31&#x27;, &#x27;2016-01-01&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=365, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c0502a4a-5aea-4dd0-93d6-1d75aded483f' class='xr-section-summary-in' type='checkbox'  ><label for='section-c0502a4a-5aea-4dd0-93d6-1d75aded483f' class='xr-section-summary' >Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>sea ice model output for CICE</dd><dt><span>contents :</span></dt><dd>Diagnostic and Prognostic Variables</dd><dt><span>source :</span></dt><dd>Los Alamos Sea Ice Model (CICE) Version 5</dd><dt><span>time_period_freq :</span></dt><dd>day_1</dd><dt><span>comment :</span></dt><dd>This year has 365 days</dd><dt><span>comment2 :</span></dt><dd>File written on model date 20150102</dd><dt><span>comment3 :</span></dt><dd>seconds elapsed into model date:      0</dd><dt><span>conventions :</span></dt><dd>CF-1.0</dd><dt><span>history :</span></dt><dd>Thu Dec  2 07:50:27 2021: ncrcat -O -L 5 -7 archive/output057/ice/OUTPUT/iceh.2015-01-01.nc archive/output057/ice/OUTPUT/iceh.2015-01-02.nc archive/output057/ice/OUTPUT/iceh.2015-01-03.nc archive/output057/ice/OUTPUT/iceh.2015-01-04.nc archive/output057/ice/OUTPUT/iceh.2015-01-05.nc archive/output057/ice/OUTPUT/iceh.2015-01-06.nc archive/output057/ice/OUTPUT/iceh.2015-01-07.nc archive/output057/ice/OUTPUT/iceh.2015-01-08.nc archive/output057/ice/OUTPUT/iceh.2015-01-09.nc archive/output057/ice/OUTPUT/iceh.2015-01-10.nc archive/output057/ice/OUTPUT/iceh.2015-01-11.nc archive/output057/ice/OUTPUT/iceh.2015-01-12.nc archive/output057/ice/OUTPUT/iceh.2015-01-13.nc archive/output057/ice/OUTPUT/iceh.2015-01-14.nc archive/output057/ice/OUTPUT/iceh.2015-01-15.nc archive/output057/ice/OUTPUT/iceh.2015-01-16.nc archive/output057/ice/OUTPUT/iceh.2015-01-17.nc archive/output057/ice/OUTPUT/iceh.2015-01-18.nc archive/output057/ice/OUTPUT/iceh.2015-01-19.nc archive/output057/ice/OUTPUT/iceh.2015-01-20.nc archive/output057/ice/OUTPUT/iceh.2015-01-21.nc archive/output057/ice/OUTPUT/iceh.2015-01-22.nc archive/output057/ice/OUTPUT/iceh.2015-01-23.nc archive/output057/ice/OUTPUT/iceh.2015-01-24.nc archive/output057/ice/OUTPUT/iceh.2015-01-25.nc archive/output057/ice/OUTPUT/iceh.2015-01-26.nc archive/output057/ice/OUTPUT/iceh.2015-01-27.nc archive/output057/ice/OUTPUT/iceh.2015-01-28.nc archive/output057/ice/OUTPUT/iceh.2015-01-29.nc archive/output057/ice/OUTPUT/iceh.2015-01-30.nc archive/output057/ice/OUTPUT/iceh.2015-01-31.nc archive/output057/ice/OUTPUT/iceh.2015-02-01.nc archive/output057/ice/OUTPUT/iceh.2015-02-02.nc archive/output057/ice/OUTPUT/iceh.2015-02-03.nc archive/output057/ice/OUTPUT/iceh.2015-02-04.nc archive/output057/ice/OUTPUT/iceh.2015-02-05.nc archive/output057/ice/OUTPUT/iceh.2015-02-06.nc archive/output057/ice/OUTPUT/iceh.2015-02-07.nc 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archive/output057/ice/OUTPUT/iceh.2015-06-28.nc archive/output057/ice/OUTPUT/iceh.2015-06-29.nc archive/output057/ice/OUTPUT/iceh.2015-06-30.nc archive/output057/ice/OUTPUT/iceh.2015-07-01.nc archive/output057/ice/OUTPUT/iceh.2015-07-02.nc archive/output057/ice/OUTPUT/iceh.2015-07-03.nc archive/output057/ice/OUTPUT/iceh.2015-07-04.nc archive/output057/ice/OUTPUT/iceh.2015-07-05.nc archive/output057/ice/OUTPUT/iceh.2015-07-06.nc archive/output057/ice/OUTPUT/iceh.2015-07-07.nc archive/output057/ice/OUTPUT/iceh.2015-07-08.nc archive/output057/ice/OUTPUT/iceh.2015-07-09.nc archive/output057/ice/OUTPUT/iceh.2015-07-10.nc archive/output057/ice/OUTPUT/iceh.2015-07-11.nc archive/output057/ice/OUTPUT/iceh.2015-07-12.nc archive/output057/ice/OUTPUT/iceh.2015-07-13.nc archive/output057/ice/OUTPUT/iceh.2015-07-14.nc archive/output057/ice/OUTPUT/iceh.2015-07-15.nc archive/output057/ice/OUTPUT/iceh.2015-07-16.nc archive/output057/ice/OUTPUT/iceh.2015-07-17.nc 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archive/output057/ice/OUTPUT/iceh.2015-09-16.nc archive/output057/ice/OUTPUT/iceh.2015-09-17.nc archive/output057/ice/OUTPUT/iceh.2015-09-18.nc archive/output057/ice/OUTPUT/iceh.2015-09-19.nc archive/output057/ice/OUTPUT/iceh.2015-09-20.nc archive/output057/ice/OUTPUT/iceh.2015-09-21.nc archive/output057/ice/OUTPUT/iceh.2015-09-22.nc archive/output057/ice/OUTPUT/iceh.2015-09-23.nc archive/output057/ice/OUTPUT/iceh.2015-09-24.nc archive/output057/ice/OUTPUT/iceh.2015-09-25.nc archive/output057/ice/OUTPUT/iceh.2015-09-26.nc archive/output057/ice/OUTPUT/iceh.2015-09-27.nc archive/output057/ice/OUTPUT/iceh.2015-09-28.nc archive/output057/ice/OUTPUT/iceh.2015-09-29.nc archive/output057/ice/OUTPUT/iceh.2015-09-30.nc archive/output057/ice/OUTPUT/iceh.2015-10-01.nc archive/output057/ice/OUTPUT/iceh.2015-10-02.nc archive/output057/ice/OUTPUT/iceh.2015-10-03.nc archive/output057/ice/OUTPUT/iceh.2015-10-04.nc archive/output057/ice/OUTPUT/iceh.2015-10-05.nc archive/output057/ice/OUTPUT/iceh.2015-10-06.nc archive/output057/ice/OUTPUT/iceh.2015-10-07.nc archive/output057/ice/OUTPUT/iceh.2015-10-08.nc archive/output057/ice/OUTPUT/iceh.2015-10-09.nc archive/output057/ice/OUTPUT/iceh.2015-10-10.nc archive/output057/ice/OUTPUT/iceh.2015-10-11.nc archive/output057/ice/OUTPUT/iceh.2015-10-12.nc archive/output057/ice/OUTPUT/iceh.2015-10-13.nc archive/output057/ice/OUTPUT/iceh.2015-10-14.nc archive/output057/ice/OUTPUT/iceh.2015-10-15.nc archive/output057/ice/OUTPUT/iceh.2015-10-16.nc archive/output057/ice/OUTPUT/iceh.2015-10-17.nc archive/output057/ice/OUTPUT/iceh.2015-10-18.nc archive/output057/ice/OUTPUT/iceh.2015-10-19.nc archive/output057/ice/OUTPUT/iceh.2015-10-20.nc archive/output057/ice/OUTPUT/iceh.2015-10-21.nc archive/output057/ice/OUTPUT/iceh.2015-10-22.nc archive/output057/ice/OUTPUT/iceh.2015-10-23.nc archive/output057/ice/OUTPUT/iceh.2015-10-24.nc archive/output057/ice/OUTPUT/iceh.2015-10-25.nc archive/output057/ice/OUTPUT/iceh.2015-10-26.nc archive/output057/ice/OUTPUT/iceh.2015-10-27.nc archive/output057/ice/OUTPUT/iceh.2015-10-28.nc archive/output057/ice/OUTPUT/iceh.2015-10-29.nc archive/output057/ice/OUTPUT/iceh.2015-10-30.nc archive/output057/ice/OUTPUT/iceh.2015-10-31.nc archive/output057/ice/OUTPUT/iceh.2015-11-01.nc archive/output057/ice/OUTPUT/iceh.2015-11-02.nc archive/output057/ice/OUTPUT/iceh.2015-11-03.nc archive/output057/ice/OUTPUT/iceh.2015-11-04.nc archive/output057/ice/OUTPUT/iceh.2015-11-05.nc archive/output057/ice/OUTPUT/iceh.2015-11-06.nc archive/output057/ice/OUTPUT/iceh.2015-11-07.nc archive/output057/ice/OUTPUT/iceh.2015-11-08.nc archive/output057/ice/OUTPUT/iceh.2015-11-09.nc archive/output057/ice/OUTPUT/iceh.2015-11-10.nc archive/output057/ice/OUTPUT/iceh.2015-11-11.nc archive/output057/ice/OUTPUT/iceh.2015-11-12.nc archive/output057/ice/OUTPUT/iceh.2015-11-13.nc archive/output057/ice/OUTPUT/iceh.2015-11-14.nc archive/output057/ice/OUTPUT/iceh.2015-11-15.nc archive/output057/ice/OUTPUT/iceh.2015-11-16.nc archive/output057/ice/OUTPUT/iceh.2015-11-17.nc archive/output057/ice/OUTPUT/iceh.2015-11-18.nc archive/output057/ice/OUTPUT/iceh.2015-11-19.nc archive/output057/ice/OUTPUT/iceh.2015-11-20.nc archive/output057/ice/OUTPUT/iceh.2015-11-21.nc archive/output057/ice/OUTPUT/iceh.2015-11-22.nc archive/output057/ice/OUTPUT/iceh.2015-11-23.nc archive/output057/ice/OUTPUT/iceh.2015-11-24.nc archive/output057/ice/OUTPUT/iceh.2015-11-25.nc archive/output057/ice/OUTPUT/iceh.2015-11-26.nc archive/output057/ice/OUTPUT/iceh.2015-11-27.nc archive/output057/ice/OUTPUT/iceh.2015-11-28.nc archive/output057/ice/OUTPUT/iceh.2015-11-29.nc archive/output057/ice/OUTPUT/iceh.2015-11-30.nc archive/output057/ice/OUTPUT/iceh.2015-12-01.nc archive/output057/ice/OUTPUT/iceh.2015-12-02.nc archive/output057/ice/OUTPUT/iceh.2015-12-03.nc archive/output057/ice/OUTPUT/iceh.2015-12-04.nc archive/output057/ice/OUTPUT/iceh.2015-12-05.nc archive/output057/ice/OUTPUT/iceh.2015-12-06.nc archive/output057/ice/OUTPUT/iceh.2015-12-07.nc archive/output057/ice/OUTPUT/iceh.2015-12-08.nc archive/output057/ice/OUTPUT/iceh.2015-12-09.nc archive/output057/ice/OUTPUT/iceh.2015-12-10.nc archive/output057/ice/OUTPUT/iceh.2015-12-11.nc archive/output057/ice/OUTPUT/iceh.2015-12-12.nc archive/output057/ice/OUTPUT/iceh.2015-12-13.nc archive/output057/ice/OUTPUT/iceh.2015-12-14.nc archive/output057/ice/OUTPUT/iceh.2015-12-15.nc archive/output057/ice/OUTPUT/iceh.2015-12-16.nc archive/output057/ice/OUTPUT/iceh.2015-12-17.nc archive/output057/ice/OUTPUT/iceh.2015-12-18.nc archive/output057/ice/OUTPUT/iceh.2015-12-19.nc archive/output057/ice/OUTPUT/iceh.2015-12-20.nc archive/output057/ice/OUTPUT/iceh.2015-12-21.nc archive/output057/ice/OUTPUT/iceh.2015-12-22.nc archive/output057/ice/OUTPUT/iceh.2015-12-23.nc archive/output057/ice/OUTPUT/iceh.2015-12-24.nc archive/output057/ice/OUTPUT/iceh.2015-12-25.nc archive/output057/ice/OUTPUT/iceh.2015-12-26.nc archive/output057/ice/OUTPUT/iceh.2015-12-27.nc archive/output057/ice/OUTPUT/iceh.2015-12-28.nc archive/output057/ice/OUTPUT/iceh.2015-12-29.nc archive/output057/ice/OUTPUT/iceh.2015-12-30.nc archive/output057/ice/OUTPUT/iceh.2015-12-31.nc archive/output057/ice/OUTPUT/iceh.057-daily.nc\n",
       "This dataset was created on 2021-11-29 at 07:10</dd><dt><span>io_flavor :</span></dt><dd>io_pio</dd><dt><span>NCO :</span></dt><dd>netCDF Operators version 4.9.2 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco)</dd><dt><span>intake_esm_vars :</span></dt><dd>[&#x27;time&#x27;, &#x27;time_bounds&#x27;, &#x27;TLON&#x27;, &#x27;TLAT&#x27;, &#x27;ULON&#x27;, &#x27;ULAT&#x27;, &#x27;NCAT&#x27;, &#x27;tmask&#x27;, &#x27;blkmask&#x27;, &#x27;tarea&#x27;, &#x27;dxt&#x27;, &#x27;dyt&#x27;, &#x27;dxu&#x27;, &#x27;dyu&#x27;, &#x27;HTN&#x27;, &#x27;HTE&#x27;, &#x27;ANGLE&#x27;, &#x27;ANGLET&#x27;, &#x27;hi&#x27;, &#x27;hs&#x27;, &#x27;aice&#x27;, &#x27;Tair&#x27;, &#x27;fswthru_ai&#x27;, &#x27;algal_N&#x27;, &#x27;skl_Nit&#x27;, &#x27;ml_Nit&#x27;, &#x27;fNO_ai&#x27;, &#x27;fN_ai&#x27;, &#x27;PP_net&#x27;]</dd><dt><span>intake_esm_attrs:filename :</span></dt><dd>iceh.057-daily.nc</dd><dt><span>intake_esm_attrs:file_id :</span></dt><dd>iceh_XXX_daily</dd><dt><span>intake_esm_attrs:path :</span></dt><dd>/g/data/ik11/outputs/access-om2/1deg_iamip2_CMCC-ESM2ssp126/output057/ice/OUTPUT/iceh.057-daily.nc</dd><dt><span>intake_esm_attrs:filename_timestamp :</span></dt><dd>057</dd><dt><span>intake_esm_attrs:frequency :</span></dt><dd>1day</dd><dt><span>intake_esm_attrs:start_date :</span></dt><dd>2015-01-01, 00:00:00</dd><dt><span>intake_esm_attrs:end_date :</span></dt><dd>2016-01-01, 00:00:00</dd><dt><span>intake_esm_attrs:variable :</span></dt><dd>time,time_bounds,TLON,TLAT,ULON,ULAT,NCAT,tmask,blkmask,tarea,dxt,dyt,dxu,dyu,HTN,HTE,ANGLE,ANGLET,hi,hs,aice,Tair,fswthru_ai,algal_N,skl_Nit,ml_Nit,fNO_ai,fN_ai,PP_net</dd><dt><span>intake_esm_attrs:variable_long_name :</span></dt><dd>[&#x27;model time&#x27;, &#x27;boundaries for time-averaging interval&#x27;, &#x27;T grid center longitude&#x27;, &#x27;T grid center latitude&#x27;, &#x27;U grid center longitude&#x27;, &#x27;U grid center latitude&#x27;, &#x27;category maximum thickness&#x27;, &#x27;ocean grid mask&#x27;, &#x27;ice grid block mask&#x27;, &#x27;area of T grid cells&#x27;, &#x27;T cell width through middle&#x27;, &#x27;T cell height through middle&#x27;, &#x27;U cell width through middle&#x27;, &#x27;U cell height through middle&#x27;, &#x27;T cell width on North side&#x27;, &#x27;T cell width on East side&#x27;, &#x27;angle grid makes with latitude line on U grid&#x27;, &#x27;angle grid makes with latitude line on T grid&#x27;, &#x27;grid cell mean ice thickness&#x27;, &#x27;grid cell mean snow thickness&#x27;, &#x27;ice area  (aggregate)&#x27;, &#x27;air temperature&#x27;, &#x27;SW flux thru ice to ocean&#x27;, &#x27;ice bottom algae (nitrogen)&#x27;, &#x27;skeletal nutrient (nitrate)&#x27;, &#x27;mixed layer nutrient (nitrate)&#x27;, &#x27;nitrate flux ice to ocean&#x27;, &#x27;algal N flux ice to ocean&#x27;, &#x27;Net Primary Production&#x27;]</dd><dt><span>intake_esm_attrs:variable_standard_name :</span></dt><dd>[&#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;]</dd><dt><span>intake_esm_attrs:variable_cell_methods :</span></dt><dd>[&#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;time: mean&#x27;, &#x27;time: mean&#x27;, &#x27;time: mean&#x27;, &#x27;time: mean&#x27;, &#x27;time: mean&#x27;, &#x27;time: mean&#x27;, &#x27;time: mean&#x27;, &#x27;time: mean&#x27;, &#x27;time: mean&#x27;, &#x27;time: mean&#x27;, &#x27;time: mean&#x27;]</dd><dt><span>intake_esm_attrs:variable_units :</span></dt><dd>[&#x27;days since 2015-01-01 00:00:00&#x27;, &#x27;days since 2015-01-01 00:00:00&#x27;, &#x27;degrees_east&#x27;, &#x27;degrees_north&#x27;, &#x27;degrees_east&#x27;, &#x27;degrees_north&#x27;, &#x27;m&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;m^2&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;radians&#x27;, &#x27;radians&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;1&#x27;, &#x27;C&#x27;, &#x27;W/m^2&#x27;, &#x27;mmol/m^2&#x27;, &#x27;mmol/m^2&#x27;, &#x27;mmol/m^3&#x27;, &#x27;mmol/m^2/s&#x27;, &#x27;mmol/m^2/s&#x27;, &#x27;mg C/d/m^2&#x27;]</dd><dt><span>intake_esm_attrs:realm :</span></dt><dd>seaIce</dd><dt><span>intake_esm_attrs:_data_format_ :</span></dt><dd>netcdf</dd><dt><span>intake_esm_dataset_key :</span></dt><dd>iceh_XXX_daily.1day</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 2GB\n",
       "Dimensions:      (time: 365, d2: 2, nj: 300, ni: 360, nc: 5)\n",
       "Coordinates:\n",
       "  * time         (time) datetime64[ns] 3kB 2015-01-02 2015-01-03 ... 2016-01-01\n",
       "    TLON         (nj, ni) float32 432kB dask.array<chunksize=(150, 180), meta=np.ndarray>\n",
       "    TLAT         (nj, ni) float32 432kB dask.array<chunksize=(150, 180), meta=np.ndarray>\n",
       "    ULON         (nj, ni) float32 432kB dask.array<chunksize=(150, 180), meta=np.ndarray>\n",
       "    ULAT         (nj, ni) float32 432kB dask.array<chunksize=(150, 180), meta=np.ndarray>\n",
       "Dimensions without coordinates: d2, nj, ni, nc\n",
       "Data variables: (12/24)\n",
       "    time_bounds  (time, d2) datetime64[ns] 6kB dask.array<chunksize=(1, 2), meta=np.ndarray>\n",
       "    NCAT         (nc) float32 20B dask.array<chunksize=(5,), meta=np.ndarray>\n",
       "    tmask        (nj, ni) float32 432kB dask.array<chunksize=(150, 180), meta=np.ndarray>\n",
       "    blkmask      (nj, ni) float32 432kB dask.array<chunksize=(150, 180), meta=np.ndarray>\n",
       "    tarea        (nj, ni) float32 432kB dask.array<chunksize=(150, 180), meta=np.ndarray>\n",
       "    dxt          (nj, ni) float32 432kB dask.array<chunksize=(150, 180), meta=np.ndarray>\n",
       "    ...           ...\n",
       "    algal_N      (time, nj, ni) float32 158MB dask.array<chunksize=(1, 150, 180), meta=np.ndarray>\n",
       "    skl_Nit      (time, nj, ni) float32 158MB dask.array<chunksize=(1, 150, 180), meta=np.ndarray>\n",
       "    ml_Nit       (time, nj, ni) float32 158MB dask.array<chunksize=(1, 150, 180), meta=np.ndarray>\n",
       "    fNO_ai       (time, nj, ni) float32 158MB dask.array<chunksize=(1, 150, 180), meta=np.ndarray>\n",
       "    fN_ai        (time, nj, ni) float32 158MB dask.array<chunksize=(1, 150, 180), meta=np.ndarray>\n",
       "    PP_net       (time, nj, ni) float32 158MB dask.array<chunksize=(1, 150, 180), meta=np.ndarray>\n",
       "Attributes: (12/27)\n",
       "    title:                                    sea ice model output for CICE\n",
       "    contents:                                 Diagnostic and Prognostic Varia...\n",
       "    source:                                   Los Alamos Sea Ice Model (CICE)...\n",
       "    time_period_freq:                         day_1\n",
       "    comment:                                  This year has 365 days\n",
       "    comment2:                                 File written on model date 2015...\n",
       "    ...                                       ...\n",
       "    intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', '', ''...\n",
       "    intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...\n",
       "    intake_esm_attrs:variable_units:          ['days since 2015-01-01 00:00:0...\n",
       "    intake_esm_attrs:realm:                   seaIce\n",
       "    intake_esm_attrs:_data_format_:           netcdf\n",
       "    intake_esm_dataset_key:                   iceh_XXX_daily.1day"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Now, if we wanted to subset and load some data, we could with, for example...\n",
    "first_result = custom_esm_ds.df.head(1).path\n",
    "custom_esm_ds.search(path=first_result).to_dask()"
   ]
  }
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