docs/notebooks/getting_started.ipynb

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 "cells": [
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   "source": [
    "# Getting started with MOM6"
   ]
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   "source": [
    "* MOM6 variables are staggered according to the Arakawa C-grid \n",
    "* It uses a north-east index convention\n",
    "* center points are labelled (xh, yh) and corner points are labelled (xq, yq)\n",
    "* important: variables xh/yh, xq/yq that are named \"nominal\" longitude/latitude **are not** the true geographical coordinates and are not suitable for plotting (more later)\n",
    "\n",
    "See [indexing](https://mom6.readthedocs.io/en/dev-gfdl/api/generated/pages/Discrete_Grids.html#horizontal-grids) for details."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "from xgcm import Grid\n",
    "import warnings\n",
    "import matplotlib.pylab as plt\n",
    "import cartopy.crs as ccrs\n",
    "import cmocean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For this tutorial, we are going to use sample data for the $\\frac{1}{2}^{\\circ}$ global model OM4p05 hosted on a GFDL thredds server:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataurl = 'http://35.188.34.63:8080/thredds/dodsC/OM4p5/'\n",
    "\n",
    "ds = xr.open_dataset(f'{dataurl}/ocean_monthly_z.200301-200712.nc4',\n",
    "                     chunks={'time':1, 'z_l': 1}, drop_variables=['average_DT',\n",
    "                                                                  'average_T1',\n",
    "                                                                  'average_T2'],\n",
    "                     engine='pydap')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:       (nv: 2, time: 60, xh: 720, xq: 720, yh: 576, yq: 576, z_i: 36, z_l: 35)\n",
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       "  * xq            (xq) float64 -299.5 -299.0 -298.5 -298.0 ... 59.0 59.5 60.0\n",
       "  * yh            (yh) float64 -77.91 -77.72 -77.54 -77.36 ... 89.47 89.68 89.89\n",
       "  * yq            (yq) float64 -77.82 -77.63 -77.45 -77.26 ... 89.58 89.79 90.0\n",
       "  * z_i           (z_i) float64 0.0 5.0 15.0 25.0 ... 5.75e+03 6.25e+03 6.75e+03\n",
       "  * z_l           (z_l) float64 2.5 10.0 20.0 32.5 ... 5.5e+03 6e+03 6.5e+03\n",
       "  * time          (time) object 2003-01-16 12:00:00 ... 2007-12-16 12:00:00\n",
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       "    areacello     (yh, xh) float32 dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;\n",
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       "    hfgeou        (yh, xh) float32 dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;\n",
       "    sftof         (yh, xh) float32 dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;\n",
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       "    wet           (yh, xh) float32 dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;\n",
       "    wet_c         (yq, xq) float32 dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;\n",
       "    wet_u         (yh, xq) float32 dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;\n",
       "    wet_v         (yq, xh) float32 dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;\n",
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       "    time_bnds     (time, nv) timedelta64[ns] dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;\n",
       "    thetao        (time, z_l, yh, xh) float32 dask.array&lt;chunksize=(1, 1, 576, 720), meta=np.ndarray&gt;\n",
       "    umo           (time, z_l, yh, xq) float32 dask.array&lt;chunksize=(1, 1, 576, 720), meta=np.ndarray&gt;\n",
       "    uo            (time, z_l, yh, xq) float32 dask.array&lt;chunksize=(1, 1, 576, 720), meta=np.ndarray&gt;\n",
       "    vmo           (time, z_l, yq, xh) float32 dask.array&lt;chunksize=(1, 1, 576, 720), meta=np.ndarray&gt;\n",
       "    vo            (time, z_l, yq, xh) float32 dask.array&lt;chunksize=(1, 1, 576, 720), meta=np.ndarray&gt;\n",
       "    volcello      (time, z_l, yh, xh) float32 dask.array&lt;chunksize=(1, 1, 576, 720), meta=np.ndarray&gt;\n",
       "    zos           (time, yh, xh) float32 dask.array&lt;chunksize=(1, 576, 720), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    filename:                        ocean_monthly.200301-200712.zos.nc\n",
       "    title:                           OM4p5_IAF_BLING_CFC_abio_csf_mle200\n",
       "    associated_files:                areacello: 20030101.ocean_static.nc\n",
       "    grid_type:                       regular\n",
       "    grid_tile:                       N/A\n",
       "    external_variables:              areacello\n",
       "    DODS_EXTRA.Unlimited_Dimension:  time</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-51739984-a78c-4e94-8ade-e4f70c64df9b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-51739984-a78c-4e94-8ade-e4f70c64df9b' 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'>nv</span>: 2</li><li><span class='xr-has-index'>time</span>: 60</li><li><span class='xr-has-index'>xh</span>: 720</li><li><span class='xr-has-index'>xq</span>: 720</li><li><span class='xr-has-index'>yh</span>: 576</li><li><span class='xr-has-index'>yq</span>: 576</li><li><span class='xr-has-index'>z_i</span>: 36</li><li><span class='xr-has-index'>z_l</span>: 35</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e4c2e9e1-c74b-4189-aab1-736d176c9ba1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e4c2e9e1-c74b-4189-aab1-736d176c9ba1' class='xr-section-summary' >Coordinates: <span>(8)</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'>nv</span></div><div class='xr-var-dims'>(nv)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0</div><input id='attrs-bb6c211a-3722-48aa-8e5d-221f52e5aacb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb6c211a-3722-48aa-8e5d-221f52e5aacb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a9f150d-0174-48df-a94c-722ea94e4002' class='xr-var-data-in' type='checkbox'><label for='data-5a9f150d-0174-48df-a94c-722ea94e4002' title='Show/Hide data repr'><svg 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>vertex number</dd><dt><span>units :</span></dt><dd>none</dd><dt><span>cartesian_axis :</span></dt><dd>N</dd><dt><span>_ChunkSizes :</span></dt><dd>2</dd></dl></div><div class='xr-var-data'><pre>array([1., 2.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xh</span></div><div class='xr-var-dims'>(xh)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-299.8 -299.2 ... 59.25 59.75</div><input id='attrs-b9a56c57-fadf-474a-b009-2c32598831d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9a56c57-fadf-474a-b009-2c32598831d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-831d89ca-c036-459d-ba9f-fe5667a849da' class='xr-var-data-in' type='checkbox'><label for='data-831d89ca-c036-459d-ba9f-fe5667a849da' title='Show/Hide data repr'><svg 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>h point nominal longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>cartesian_axis :</span></dt><dd>X</dd><dt><span>_ChunkSizes :</span></dt><dd>720</dd></dl></div><div class='xr-var-data'><pre>array([-299.75, -299.25, -298.75, ...,   58.75,   59.25,   59.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xq</span></div><div class='xr-var-dims'>(xq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-299.5 -299.0 -298.5 ... 59.5 60.0</div><input id='attrs-7f8bd6a6-f6d1-4684-a055-0adbf232ac5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f8bd6a6-f6d1-4684-a055-0adbf232ac5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32da85c6-8fa5-4b96-a1a0-e7e4accda7d2' class='xr-var-data-in' type='checkbox'><label for='data-32da85c6-8fa5-4b96-a1a0-e7e4accda7d2' title='Show/Hide data repr'><svg 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>q point nominal longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>cartesian_axis :</span></dt><dd>X</dd><dt><span>_ChunkSizes :</span></dt><dd>720</dd></dl></div><div class='xr-var-data'><pre>array([-299.5, -299. , -298.5, ...,   59. ,   59.5,   60. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yh</span></div><div class='xr-var-dims'>(yh)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-77.91 -77.72 ... 89.68 89.89</div><input id='attrs-73abca46-c3e2-434c-9061-855a72a7c6ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73abca46-c3e2-434c-9061-855a72a7c6ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eed76bf6-5795-4f39-9a3a-d54f000efa04' class='xr-var-data-in' type='checkbox'><label for='data-eed76bf6-5795-4f39-9a3a-d54f000efa04' title='Show/Hide data repr'><svg 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>h point nominal latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>cartesian_axis :</span></dt><dd>Y</dd><dt><span>_ChunkSizes :</span></dt><dd>576</dd></dl></div><div class='xr-var-data'><pre>array([-77.907938, -77.723813, -77.539688, ...,  89.472   ,  89.6832  ,\n",
       "        89.8944  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yq</span></div><div class='xr-var-dims'>(yq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-77.82 -77.63 -77.45 ... 89.79 90.0</div><input id='attrs-0a0096c6-47d7-4d56-b80e-1152b84e571d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a0096c6-47d7-4d56-b80e-1152b84e571d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b60c14f1-50a9-456b-9806-288a1b23efc5' class='xr-var-data-in' type='checkbox'><label for='data-b60c14f1-50a9-456b-9806-288a1b23efc5' title='Show/Hide data repr'><svg 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>q point nominal latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>cartesian_axis :</span></dt><dd>Y</dd><dt><span>_ChunkSizes :</span></dt><dd>576</dd></dl></div><div class='xr-var-data'><pre>array([-77.815875, -77.63175 , -77.447625, ...,  89.5776  ,  89.7888  ,\n",
       "        90.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z_i</span></div><div class='xr-var-dims'>(z_i)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 5.0 15.0 ... 6.25e+03 6.75e+03</div><input id='attrs-463f77c1-d8d1-4abf-bb48-61e08d352ab6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-463f77c1-d8d1-4abf-bb48-61e08d352ab6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8efd4542-3dc7-4091-8150-cf8ff9565335' class='xr-var-data-in' type='checkbox'><label for='data-8efd4542-3dc7-4091-8150-cf8ff9565335' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Depth at interface</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>cartesian_axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>_ChunkSizes :</span></dt><dd>36</dd></dl></div><div class='xr-var-data'><pre>array([0.000e+00, 5.000e+00, 1.500e+01, 2.500e+01, 4.000e+01, 6.250e+01,\n",
       "       8.750e+01, 1.125e+02, 1.375e+02, 1.750e+02, 2.250e+02, 2.750e+02,\n",
       "       3.500e+02, 4.500e+02, 5.500e+02, 6.500e+02, 7.500e+02, 8.500e+02,\n",
       "       9.500e+02, 1.050e+03, 1.150e+03, 1.250e+03, 1.350e+03, 1.450e+03,\n",
       "       1.625e+03, 1.875e+03, 2.250e+03, 2.750e+03, 3.250e+03, 3.750e+03,\n",
       "       4.250e+03, 4.750e+03, 5.250e+03, 5.750e+03, 6.250e+03, 6.750e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z_l</span></div><div class='xr-var-dims'>(z_l)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.5 10.0 20.0 ... 6e+03 6.5e+03</div><input id='attrs-115debf1-d330-45c5-babd-50c52d016452' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-115debf1-d330-45c5-babd-50c52d016452' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ea0c048-c93f-4542-a70e-6ff73b3ca79b' class='xr-var-data-in' type='checkbox'><label for='data-2ea0c048-c93f-4542-a70e-6ff73b3ca79b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Depth at cell center</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>cartesian_axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>edges :</span></dt><dd>z_i</dd><dt><span>_ChunkSizes :</span></dt><dd>35</dd></dl></div><div class='xr-var-data'><pre>array([2.5000e+00, 1.0000e+01, 2.0000e+01, 3.2500e+01, 5.1250e+01, 7.5000e+01,\n",
       "       1.0000e+02, 1.2500e+02, 1.5625e+02, 2.0000e+02, 2.5000e+02, 3.1250e+02,\n",
       "       4.0000e+02, 5.0000e+02, 6.0000e+02, 7.0000e+02, 8.0000e+02, 9.0000e+02,\n",
       "       1.0000e+03, 1.1000e+03, 1.2000e+03, 1.3000e+03, 1.4000e+03, 1.5375e+03,\n",
       "       1.7500e+03, 2.0625e+03, 2.5000e+03, 3.0000e+03, 3.5000e+03, 4.0000e+03,\n",
       "       4.5000e+03, 5.0000e+03, 5.5000e+03, 6.0000e+03, 6.5000e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2003-01-16 12:00:00 ... 2007-12-...</div><input id='attrs-99ce5734-f9be-47df-a168-c8bae4a18f80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99ce5734-f9be-47df-a168-c8bae4a18f80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfc15e54-4286-4fb6-bb6d-dcc734133e43' class='xr-var-data-in' type='checkbox'><label for='data-cfc15e54-4286-4fb6-bb6d-dcc734133e43' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>cartesian_axis :</span></dt><dd>T</dd><dt><span>calendar_type :</span></dt><dd>NOLEAP</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>_ChunkSizes :</span></dt><dd>512</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2003, 1, 16, 12, 0, 0, 0, 2, 16),\n",
       "       cftime.DatetimeNoLeap(2003, 2, 15, 0, 0, 0, 0, 4, 46),\n",
       "       cftime.DatetimeNoLeap(2003, 3, 16, 12, 0, 0, 0, 5, 75),\n",
       "       cftime.DatetimeNoLeap(2003, 4, 16, 0, 0, 0, 0, 1, 106),\n",
       "       cftime.DatetimeNoLeap(2003, 5, 16, 12, 0, 0, 0, 3, 136),\n",
       "       cftime.DatetimeNoLeap(2003, 6, 16, 0, 0, 0, 0, 6, 167),\n",
       "       cftime.DatetimeNoLeap(2003, 7, 16, 12, 0, 0, 0, 1, 197),\n",
       "       cftime.DatetimeNoLeap(2003, 8, 16, 12, 0, 0, 0, 4, 228),\n",
       "       cftime.DatetimeNoLeap(2003, 9, 16, 0, 0, 0, 0, 0, 259),\n",
       "       cftime.DatetimeNoLeap(2003, 10, 16, 12, 0, 0, 0, 2, 289),\n",
       "       cftime.DatetimeNoLeap(2003, 11, 16, 0, 0, 0, 0, 5, 320),\n",
       "       cftime.DatetimeNoLeap(2003, 12, 16, 12, 0, 0, 0, 0, 350),\n",
       "       cftime.DatetimeNoLeap(2004, 1, 16, 12, 0, 0, 0, 3, 16),\n",
       "       cftime.DatetimeNoLeap(2004, 2, 15, 0, 0, 0, 0, 5, 46),\n",
       "       cftime.DatetimeNoLeap(2004, 3, 16, 12, 0, 0, 0, 6, 75),\n",
       "       cftime.DatetimeNoLeap(2004, 4, 16, 0, 0, 0, 0, 2, 106),\n",
       "       cftime.DatetimeNoLeap(2004, 5, 16, 12, 0, 0, 0, 4, 136),\n",
       "       cftime.DatetimeNoLeap(2004, 6, 16, 0, 0, 0, 0, 0, 167),\n",
       "       cftime.DatetimeNoLeap(2004, 7, 16, 12, 0, 0, 0, 2, 197),\n",
       "       cftime.DatetimeNoLeap(2004, 8, 16, 12, 0, 0, 0, 5, 228),\n",
       "       cftime.DatetimeNoLeap(2004, 9, 16, 0, 0, 0, 0, 1, 259),\n",
       "       cftime.DatetimeNoLeap(2004, 10, 16, 12, 0, 0, 0, 3, 289),\n",
       "       cftime.DatetimeNoLeap(2004, 11, 16, 0, 0, 0, 0, 6, 320),\n",
       "       cftime.DatetimeNoLeap(2004, 12, 16, 12, 0, 0, 0, 1, 350),\n",
       "       cftime.DatetimeNoLeap(2005, 1, 16, 12, 0, 0, 0, 4, 16),\n",
       "       cftime.DatetimeNoLeap(2005, 2, 15, 0, 0, 0, 0, 6, 46),\n",
       "       cftime.DatetimeNoLeap(2005, 3, 16, 12, 0, 0, 0, 0, 75),\n",
       "       cftime.DatetimeNoLeap(2005, 4, 16, 0, 0, 0, 0, 3, 106),\n",
       "       cftime.DatetimeNoLeap(2005, 5, 16, 12, 0, 0, 0, 5, 136),\n",
       "       cftime.DatetimeNoLeap(2005, 6, 16, 0, 0, 0, 0, 1, 167),\n",
       "       cftime.DatetimeNoLeap(2005, 7, 16, 12, 0, 0, 0, 3, 197),\n",
       "       cftime.DatetimeNoLeap(2005, 8, 16, 12, 0, 0, 0, 6, 228),\n",
       "       cftime.DatetimeNoLeap(2005, 9, 16, 0, 0, 0, 0, 2, 259),\n",
       "       cftime.DatetimeNoLeap(2005, 10, 16, 12, 0, 0, 0, 4, 289),\n",
       "       cftime.DatetimeNoLeap(2005, 11, 16, 0, 0, 0, 0, 0, 320),\n",
       "       cftime.DatetimeNoLeap(2005, 12, 16, 12, 0, 0, 0, 2, 350),\n",
       "       cftime.DatetimeNoLeap(2006, 1, 16, 12, 0, 0, 0, 5, 16),\n",
       "       cftime.DatetimeNoLeap(2006, 2, 15, 0, 0, 0, 0, 0, 46),\n",
       "       cftime.DatetimeNoLeap(2006, 3, 16, 12, 0, 0, 0, 1, 75),\n",
       "       cftime.DatetimeNoLeap(2006, 4, 16, 0, 0, 0, 0, 4, 106),\n",
       "       cftime.DatetimeNoLeap(2006, 5, 16, 12, 0, 0, 0, 6, 136),\n",
       "       cftime.DatetimeNoLeap(2006, 6, 16, 0, 0, 0, 0, 2, 167),\n",
       "       cftime.DatetimeNoLeap(2006, 7, 16, 12, 0, 0, 0, 4, 197),\n",
       "       cftime.DatetimeNoLeap(2006, 8, 16, 12, 0, 0, 0, 0, 228),\n",
       "       cftime.DatetimeNoLeap(2006, 9, 16, 0, 0, 0, 0, 3, 259),\n",
       "       cftime.DatetimeNoLeap(2006, 10, 16, 12, 0, 0, 0, 5, 289),\n",
       "       cftime.DatetimeNoLeap(2006, 11, 16, 0, 0, 0, 0, 1, 320),\n",
       "       cftime.DatetimeNoLeap(2006, 12, 16, 12, 0, 0, 0, 3, 350),\n",
       "       cftime.DatetimeNoLeap(2007, 1, 16, 12, 0, 0, 0, 6, 16),\n",
       "       cftime.DatetimeNoLeap(2007, 2, 15, 0, 0, 0, 0, 1, 46),\n",
       "       cftime.DatetimeNoLeap(2007, 3, 16, 12, 0, 0, 0, 2, 75),\n",
       "       cftime.DatetimeNoLeap(2007, 4, 16, 0, 0, 0, 0, 5, 106),\n",
       "       cftime.DatetimeNoLeap(2007, 5, 16, 12, 0, 0, 0, 0, 136),\n",
       "       cftime.DatetimeNoLeap(2007, 6, 16, 0, 0, 0, 0, 3, 167),\n",
       "       cftime.DatetimeNoLeap(2007, 7, 16, 12, 0, 0, 0, 5, 197),\n",
       "       cftime.DatetimeNoLeap(2007, 8, 16, 12, 0, 0, 0, 1, 228),\n",
       "       cftime.DatetimeNoLeap(2007, 9, 16, 0, 0, 0, 0, 4, 259),\n",
       "       cftime.DatetimeNoLeap(2007, 10, 16, 12, 0, 0, 0, 6, 289),\n",
       "       cftime.DatetimeNoLeap(2007, 11, 16, 0, 0, 0, 0, 2, 320),\n",
       "       cftime.DatetimeNoLeap(2007, 12, 16, 12, 0, 0, 0, 4, 350)], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c5af7b27-2362-4bd8-bbce-8c718a0b9c0b' class='xr-section-summary-in' type='checkbox'  ><label for='section-c5af7b27-2362-4bd8-bbce-8c718a0b9c0b' class='xr-section-summary' >Data variables: <span>(36)</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>Coriolis</span></div><div class='xr-var-dims'>(yq, xq)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-d1d79334-53b5-482d-bc72-464ed69d11dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1d79334-53b5-482d-bc72-464ed69d11dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c028048-a855-4b65-8ddd-b31036e2c655' class='xr-var-data-in' type='checkbox'><label for='data-1c028048-a855-4b65-8ddd-b31036e2c655' title='Show/Hide data repr'><svg 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>Coriolis parameter at corner (Bu) points</dd><dt><span>units :</span></dt><dd>s-1</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 1.66 MB </td> <td> 1.66 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (576, 720) </td> <td> (576, 720) </td></tr>\n",
       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"146\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
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       "</td>\n",
       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>areacello</span></div><div class='xr-var-dims'>(yh, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-0b65f02a-0404-4519-9d04-50074babdf0f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b65f02a-0404-4519-9d04-50074babdf0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cba517d6-eec9-4ce2-b099-00fff15f5dd6' class='xr-var-data-in' type='checkbox'><label for='data-cba517d6-eec9-4ce2-b099-00fff15f5dd6' title='Show/Hide data repr'><svg 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-Cell Area</dd><dt><span>units :</span></dt><dd>m2</dd><dt><span>cell_methods :</span></dt><dd>area:sum yh:sum xh:sum time: point</dd><dt><span>standard_name :</span></dt><dd>cell_area</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 1.66 MB </td> <td> 1.66 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (576, 720) </td> <td> (576, 720) </td></tr>\n",
       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"146\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>areacello_bu</span></div><div class='xr-var-dims'>(yq, xq)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-1a258562-8896-4c4e-8dfd-3a511ecaa985' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1a258562-8896-4c4e-8dfd-3a511ecaa985' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-071f890d-e27c-47f3-947d-375cf6bae485' class='xr-var-data-in' type='checkbox'><label for='data-071f890d-e27c-47f3-947d-375cf6bae485' title='Show/Hide data repr'><svg 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-Cell Area</dd><dt><span>units :</span></dt><dd>m2</dd><dt><span>cell_methods :</span></dt><dd>area:sum yq:sum xq:sum time: point</dd><dt><span>standard_name :</span></dt><dd>cell_area</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 1.66 MB </td> <td> 1.66 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (576, 720) </td> <td> (576, 720) </td></tr>\n",
       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"146\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>areacello_cu</span></div><div class='xr-var-dims'>(yh, xq)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-1fdafa0a-4817-4183-b93e-7f96913f59f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1fdafa0a-4817-4183-b93e-7f96913f59f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04f19f58-083b-4966-aaec-65b9781da4fc' class='xr-var-data-in' type='checkbox'><label for='data-04f19f58-083b-4966-aaec-65b9781da4fc' title='Show/Hide data repr'><svg 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-Cell Area</dd><dt><span>units :</span></dt><dd>m2</dd><dt><span>cell_methods :</span></dt><dd>area:sum yh:sum xq:sum time: point</dd><dt><span>standard_name :</span></dt><dd>cell_area</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 1.66 MB </td> <td> 1.66 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (576, 720) </td> <td> (576, 720) </td></tr>\n",
       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"146\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"96\" 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>areacello_cv</span></div><div class='xr-var-dims'>(yq, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-e9294bb7-731f-4b5b-94a6-7529ff3ebfbc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9294bb7-731f-4b5b-94a6-7529ff3ebfbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9240b1bb-e7f6-4784-b09a-b15fa5038aaa' class='xr-var-data-in' type='checkbox'><label for='data-9240b1bb-e7f6-4784-b09a-b15fa5038aaa' title='Show/Hide data repr'><svg 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-Cell Area</dd><dt><span>units :</span></dt><dd>m2</dd><dt><span>cell_methods :</span></dt><dd>area:sum yq:sum xh:sum time: point</dd><dt><span>standard_name :</span></dt><dd>cell_area</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 1.66 MB </td> <td> 1.66 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (576, 720) </td> <td> (576, 720) </td></tr>\n",
       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"146\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"96\" x2=\"120\" y2=\"96\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"96\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"96\" 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>deptho</span></div><div class='xr-var-dims'>(yh, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-e99fc3be-fedb-4339-81a4-635072f92262' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e99fc3be-fedb-4339-81a4-635072f92262' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30b62611-3f77-429c-84f3-67a801ab7549' class='xr-var-data-in' type='checkbox'><label for='data-30b62611-3f77-429c-84f3-67a801ab7549' title='Show/Hide data repr'><svg 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>Sea Floor Depth</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>cell_methods :</span></dt><dd>area:mean yh:mean xh:mean time: point</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd><dt><span>standard_name :</span></dt><dd>sea_floor_depth_below_geoid</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 1.66 MB </td> <td> 1.66 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (576, 720) </td> <td> (576, 720) </td></tr>\n",
       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"146\" 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>dxCu</span></div><div class='xr-var-dims'>(yh, xq)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-c85432e6-0177-418b-aeeb-41ba8ad4a4af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c85432e6-0177-418b-aeeb-41ba8ad4a4af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f59b265-0d8d-436a-a194-5635785d1325' class='xr-var-data-in' type='checkbox'><label for='data-3f59b265-0d8d-436a-a194-5635785d1325' title='Show/Hide data repr'><svg 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>Delta(x) at u points (meter)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 1.66 MB </td> <td> 1.66 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (576, 720) </td> <td> (576, 720) </td></tr>\n",
       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
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       "</table>\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>dxCv</span></div><div class='xr-var-dims'>(yq, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-62426c14-934d-4e52-a9ad-f427c583e3bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62426c14-934d-4e52-a9ad-f427c583e3bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75441f5c-db06-4474-a074-522628cf139d' class='xr-var-data-in' type='checkbox'><label for='data-75441f5c-db06-4474-a074-522628cf139d' title='Show/Hide data repr'><svg 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>Delta(x) at v points (meter)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 1.66 MB </td> <td> 1.66 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (576, 720) </td> <td> (576, 720) </td></tr>\n",
       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></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>dxt</span></div><div class='xr-var-dims'>(yh, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-44e03e1a-9daa-4a0e-ac4c-dea9c5457f87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44e03e1a-9daa-4a0e-ac4c-dea9c5457f87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27584db3-80fd-485e-b379-1c54310ae728' class='xr-var-data-in' type='checkbox'><label for='data-27584db3-80fd-485e-b379-1c54310ae728' title='Show/Hide data repr'><svg 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>Delta(x) at thickness/tracer points (meter)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
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       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 1.66 MB </td> <td> 1.66 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (576, 720) </td> <td> (576, 720) </td></tr>\n",
       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
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       "</table>\n",
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       "<td>\n",
       "<svg width=\"170\" height=\"146\" 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>dyCu</span></div><div class='xr-var-dims'>(yh, xq)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-c9700d24-d37f-45d0-be43-78f5f59c5a1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c9700d24-d37f-45d0-be43-78f5f59c5a1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2451298-14a6-4909-99ae-72b909434a0a' class='xr-var-data-in' type='checkbox'><label for='data-e2451298-14a6-4909-99ae-72b909434a0a' title='Show/Hide data repr'><svg 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>Delta(y) at u points (meter)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 1.66 MB </td> <td> 1.66 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (576, 720) </td> <td> (576, 720) </td></tr>\n",
       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"146\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dyCv</span></div><div class='xr-var-dims'>(yq, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-6b1ce625-309a-4966-afad-32b07f423b23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b1ce625-309a-4966-afad-32b07f423b23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8427851a-37b9-4e62-bd4e-a5f9beb8d9d5' class='xr-var-data-in' type='checkbox'><label for='data-8427851a-37b9-4e62-bd4e-a5f9beb8d9d5' title='Show/Hide data repr'><svg 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>Delta(y) at v points (meter)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 1.66 MB </td> <td> 1.66 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (576, 720) </td> <td> (576, 720) </td></tr>\n",
       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"146\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dyt</span></div><div class='xr-var-dims'>(yh, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-30b4c400-fac9-48ff-b273-3d1ccc55a1d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30b4c400-fac9-48ff-b273-3d1ccc55a1d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e02c742a-c574-4ac8-b0fb-0a1a3bdb1e30' class='xr-var-data-in' type='checkbox'><label for='data-e02c742a-c574-4ac8-b0fb-0a1a3bdb1e30' title='Show/Hide data repr'><svg 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>Delta(y) at thickness/tracer points (meter)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 1.66 MB </td> <td> 1.66 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (576, 720) </td> <td> (576, 720) </td></tr>\n",
       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"146\" 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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       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"96\" 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>geolat</span></div><div class='xr-var-dims'>(yh, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-1be155d0-94ae-48cc-bc8e-7b48029064a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1be155d0-94ae-48cc-bc8e-7b48029064a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5326f963-a8b0-46e2-a2ea-9657255c8d24' class='xr-var-data-in' type='checkbox'><label for='data-5326f963-a8b0-46e2-a2ea-9657255c8d24' title='Show/Hide data repr'><svg 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>Latitude of tracer (T) points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 1.66 MB </td> <td> 1.66 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (576, 720) </td> <td> (576, 720) </td></tr>\n",
       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"146\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "</td>\n",
       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geolat_c</span></div><div class='xr-var-dims'>(yq, xq)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-7506a911-6b88-4f64-a433-ce5a8e70032e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7506a911-6b88-4f64-a433-ce5a8e70032e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1eea0a9d-9a67-43a1-adb0-c188b69ee2a0' class='xr-var-data-in' type='checkbox'><label for='data-1eea0a9d-9a67-43a1-adb0-c188b69ee2a0' title='Show/Hide data repr'><svg 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>Latitude of corner (Bu) points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 1.66 MB </td> <td> 1.66 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (576, 720) </td> <td> (576, 720) </td></tr>\n",
       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"146\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geolat_u</span></div><div class='xr-var-dims'>(yh, xq)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-c86dcdc5-35d3-4392-af54-bf481825ef99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c86dcdc5-35d3-4392-af54-bf481825ef99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a48de57-e03b-4fa4-b3ed-87f80ee4ec17' class='xr-var-data-in' type='checkbox'><label for='data-0a48de57-e03b-4fa4-b3ed-87f80ee4ec17' title='Show/Hide data repr'><svg 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>Latitude of zonal velocity (Cu) points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</dd></dl></div><div class='xr-var-data'><table>\n",
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       "<td>\n",
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       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
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       "</table>\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>geolat_v</span></div><div class='xr-var-dims'>(yq, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-bacf82f4-308f-42ed-81c6-ef5b3840b425' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bacf82f4-308f-42ed-81c6-ef5b3840b425' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ef80c2c-a7f2-4e4d-baa0-fb544db9aa90' class='xr-var-data-in' type='checkbox'><label for='data-5ef80c2c-a7f2-4e4d-baa0-fb544db9aa90' title='Show/Hide data repr'><svg 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>Latitude of meridional velocity (Cv) points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 1.66 MB </td> <td> 1.66 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (576, 720) </td> <td> (576, 720) </td></tr>\n",
       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
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       "</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>geolon</span></div><div class='xr-var-dims'>(yh, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-039752df-b90e-44e1-9e7e-5d424138bee0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-039752df-b90e-44e1-9e7e-5d424138bee0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f97ae69c-6a7c-49cb-ad74-c04ea704ab6b' class='xr-var-data-in' type='checkbox'><label for='data-f97ae69c-6a7c-49cb-ad74-c04ea704ab6b' title='Show/Hide data repr'><svg 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>Longitude of tracer (T) points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 1.66 MB </td> <td> 1.66 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (576, 720) </td> <td> (576, 720) </td></tr>\n",
       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\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>geolon_c</span></div><div class='xr-var-dims'>(yq, xq)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-0572a597-da1c-4de8-9746-58025cdd44a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0572a597-da1c-4de8-9746-58025cdd44a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11124e6d-0fbc-4456-b93f-819241bfb7ca' class='xr-var-data-in' type='checkbox'><label for='data-11124e6d-0fbc-4456-b93f-819241bfb7ca' title='Show/Hide data repr'><svg 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>Longitude of corner (Bu) points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 1.66 MB </td> <td> 1.66 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (576, 720) </td> <td> (576, 720) </td></tr>\n",
       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"146\" 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>geolon_u</span></div><div class='xr-var-dims'>(yh, xq)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-7c8605c1-2318-4aeb-9d94-d9a015135cad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c8605c1-2318-4aeb-9d94-d9a015135cad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51c2e814-0ecc-4fca-aa8b-0d5de585d6b4' class='xr-var-data-in' type='checkbox'><label for='data-51c2e814-0ecc-4fca-aa8b-0d5de585d6b4' title='Show/Hide data repr'><svg 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>Longitude of zonal velocity (Cu) points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 1.66 MB </td> <td> 1.66 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (576, 720) </td> <td> (576, 720) </td></tr>\n",
       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
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       "</table>\n",
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       "<td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geolon_v</span></div><div class='xr-var-dims'>(yq, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-76744021-aac4-4fb5-bee3-acb4689f85e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76744021-aac4-4fb5-bee3-acb4689f85e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a392ca0d-489e-45b8-aa81-f6300311b034' class='xr-var-data-in' type='checkbox'><label for='data-a392ca0d-489e-45b8-aa81-f6300311b034' title='Show/Hide data repr'><svg 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>Longitude of meridional velocity (Cv) points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</dd></dl></div><div class='xr-var-data'><table>\n",
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       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hfgeou</span></div><div class='xr-var-dims'>(yh, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-9bcc22af-fd31-443c-acfa-b3d119ac8972' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9bcc22af-fd31-443c-acfa-b3d119ac8972' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17706f3c-7666-4193-942e-488201755626' class='xr-var-data-in' type='checkbox'><label for='data-17706f3c-7666-4193-942e-488201755626' title='Show/Hide data repr'><svg 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>Upward geothermal heat flux at sea floor</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>cell_methods :</span></dt><dd>area:mean yh:mean xh:mean time: point</dd><dt><span>standard_name :</span></dt><dd>upward_geothermal_heat_flux_at_sea_floor</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</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>sftof</span></div><div class='xr-var-dims'>(yh, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-e2d79d8c-76b0-4b69-8ffb-f93985b47cbc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2d79d8c-76b0-4b69-8ffb-f93985b47cbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dec70189-6754-443e-b290-36575262c6de' class='xr-var-data-in' type='checkbox'><label for='data-dec70189-6754-443e-b290-36575262c6de' title='Show/Hide data repr'><svg 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>Sea Area Fraction</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>cell_methods :</span></dt><dd>area:mean yh:mean xh:mean time: point</dd><dt><span>standard_name :</span></dt><dd>SeaAreaFraction</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</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>thkcello</span></div><div class='xr-var-dims'>(z_l, yh, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 576, 720), meta=np.ndarray&gt;</div><input id='attrs-ab9a0468-6801-4dc5-9608-aa009d3c8659' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab9a0468-6801-4dc5-9608-aa009d3c8659' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-157488a8-602a-40f1-96e8-63a09d1c32fb' class='xr-var-data-in' type='checkbox'><label for='data-157488a8-602a-40f1-96e8-63a09d1c32fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>id :</span></dt><dd>thkcello</dd><dt><span>name :</span></dt><dd>thkcello</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>ocean model cell thickness</dd><dt><span>original_name :</span></dt><dd>cell_thickness</dd><dt><span>standard_name :</span></dt><dd>cell_thickness</dd><dt><span>comment :</span></dt><dd>thkcello is the nominal cell thickness in z* coordinates. The model actual thkcello is time-dependent and can be calculated as thkcello * ( deptho + zos ) / deptho</dd><dt><span>_ChunkSizes :</span></dt><dd>[12, 192, 240]</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>wet</span></div><div class='xr-var-dims'>(yh, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-0fcb4608-1e77-4d48-b733-acf91158ddcb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0fcb4608-1e77-4d48-b733-acf91158ddcb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6019309b-de4c-449d-a32e-eba3c27b46e3' class='xr-var-data-in' type='checkbox'><label for='data-6019309b-de4c-449d-a32e-eba3c27b46e3' title='Show/Hide data repr'><svg 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>0 if land, 1 if ocean at tracer points</dd><dt><span>units :</span></dt><dd>none</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</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>wet_c</span></div><div class='xr-var-dims'>(yq, xq)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-6890a5b1-7525-4957-aac9-e968a47f0cce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6890a5b1-7525-4957-aac9-e968a47f0cce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-effccc0a-2218-49c1-80b6-ccd1d02de361' class='xr-var-data-in' type='checkbox'><label for='data-effccc0a-2218-49c1-80b6-ccd1d02de361' title='Show/Hide data repr'><svg 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>0 if land, 1 if ocean at corner (Bu) points</dd><dt><span>units :</span></dt><dd>none</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</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>wet_u</span></div><div class='xr-var-dims'>(yh, xq)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-87f103b5-63c6-46c1-8d8c-717d2887ba66' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87f103b5-63c6-46c1-8d8c-717d2887ba66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1d5916b-2c9a-47da-bf2d-c3a8687349d9' class='xr-var-data-in' type='checkbox'><label for='data-b1d5916b-2c9a-47da-bf2d-c3a8687349d9' title='Show/Hide data repr'><svg 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>0 if land, 1 if ocean at zonal velocity (Cu) points</dd><dt><span>units :</span></dt><dd>none</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
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       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 1.66 MB </td> <td> 1.66 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (576, 720) </td> <td> (576, 720) </td></tr>\n",
       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wet_v</span></div><div class='xr-var-dims'>(yq, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-6dd0d685-2466-47b7-a120-c9c62d11d2d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6dd0d685-2466-47b7-a120-c9c62d11d2d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae3e3db6-e50e-4249-b91f-e30f0a4ca554' class='xr-var-data-in' type='checkbox'><label for='data-ae3e3db6-e50e-4249-b91f-e30f0a4ca554' title='Show/Hide data repr'><svg 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>0 if land, 1 if ocean at meridional velocity (Cv) points</dd><dt><span>units :</span></dt><dd>none</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>_ChunkSizes :</span></dt><dd>[576, 720]</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nv)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;</div><input id='attrs-0c3067f4-0c9f-49d6-8a2d-549551f5882f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c3067f4-0c9f-49d6-8a2d-549551f5882f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4309b636-81f3-4d95-8810-5999c69e330b' class='xr-var-data-in' type='checkbox'><label for='data-4309b636-81f3-4d95-8810-5999c69e330b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time axis boundaries</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 2]</dd><dt><span>calendar :</span></dt><dd>NOLEAP</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>umo</span></div><div class='xr-var-dims'>(time, z_l, yh, xq)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 576, 720), meta=np.ndarray&gt;</div><input id='attrs-a584f1f8-1023-4887-b87c-5aebb8a6cb47' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a584f1f8-1023-4887-b87c-5aebb8a6cb47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-862e6567-48a4-4f01-aa28-995cbf3dd0d6' class='xr-var-data-in' type='checkbox'><label for='data-862e6567-48a4-4f01-aa28-995cbf3dd0d6' title='Show/Hide data repr'><svg 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 Mass X Transport</dd><dt><span>units :</span></dt><dd>kg s-1</dd><dt><span>cell_methods :</span></dt><dd>z_l:sum yh:sum xq:point time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>ocean_mass_x_transport</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 12, 192, 240]</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>vmo</span></div><div class='xr-var-dims'>(time, z_l, yq, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 576, 720), meta=np.ndarray&gt;</div><input id='attrs-848f5586-a2b1-444e-a99d-d9c90ab2979d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-848f5586-a2b1-444e-a99d-d9c90ab2979d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae763aa8-3eff-42de-835f-748e629dd1ed' class='xr-var-data-in' type='checkbox'><label for='data-ae763aa8-3eff-42de-835f-748e629dd1ed' title='Show/Hide data repr'><svg 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 Mass Y Transport</dd><dt><span>units :</span></dt><dd>kg s-1</dd><dt><span>cell_methods :</span></dt><dd>z_l:sum yq:point xh:sum time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>ocean_mass_y_transport</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 12, 192, 240]</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>vo</span></div><div class='xr-var-dims'>(time, z_l, yq, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 576, 720), meta=np.ndarray&gt;</div><input id='attrs-e8b49ef6-952e-4172-bf54-54ec16b4a8ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8b49ef6-952e-4172-bf54-54ec16b4a8ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc7343e3-3d7f-4a7c-9d51-157b5f3227e5' class='xr-var-data-in' type='checkbox'><label for='data-cc7343e3-3d7f-4a7c-9d51-157b5f3227e5' title='Show/Hide data repr'><svg 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>Sea Water Y Velocity</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>cell_methods :</span></dt><dd>z_l:mean yq:point xh:mean time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>sea_water_y_velocity</dd><dt><span>interp_method :</span></dt><dd>none</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 12, 192, 240]</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>volcello</span></div><div class='xr-var-dims'>(time, z_l, yh, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 576, 720), meta=np.ndarray&gt;</div><input id='attrs-38dd2ad2-823d-482b-8946-d8b506933030' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38dd2ad2-823d-482b-8946-d8b506933030' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49033796-29bb-4f9c-95ff-a29f3a136853' class='xr-var-data-in' type='checkbox'><label for='data-49033796-29bb-4f9c-95ff-a29f3a136853' title='Show/Hide data repr'><svg 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-cell volume</dd><dt><span>units :</span></dt><dd>m3</dd><dt><span>cell_methods :</span></dt><dd>area:sum z_l:sum yh:sum xh:sum time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>ocean_volume</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 12, 192, 240]</dd></dl></div><div class='xr-var-data'><table>\n",
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      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:       (nv: 2, time: 60, xh: 720, xq: 720, yh: 576, yq: 576, z_i: 36, z_l: 35)\n",
       "Coordinates:\n",
       "  * nv            (nv) float64 1.0 2.0\n",
       "  * xh            (xh) float64 -299.8 -299.2 -298.8 -298.2 ... 58.75 59.25 59.75\n",
       "  * xq            (xq) float64 -299.5 -299.0 -298.5 -298.0 ... 59.0 59.5 60.0\n",
       "  * yh            (yh) float64 -77.91 -77.72 -77.54 -77.36 ... 89.47 89.68 89.89\n",
       "  * yq            (yq) float64 -77.82 -77.63 -77.45 -77.26 ... 89.58 89.79 90.0\n",
       "  * z_i           (z_i) float64 0.0 5.0 15.0 25.0 ... 5.75e+03 6.25e+03 6.75e+03\n",
       "  * z_l           (z_l) float64 2.5 10.0 20.0 32.5 ... 5.5e+03 6e+03 6.5e+03\n",
       "  * time          (time) object 2003-01-16 12:00:00 ... 2007-12-16 12:00:00\n",
       "Data variables:\n",
       "    Coriolis      (yq, xq) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    areacello     (yh, xh) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    areacello_bu  (yq, xq) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    areacello_cu  (yh, xq) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    areacello_cv  (yq, xh) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    deptho        (yh, xh) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    dxCu          (yh, xq) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    dxCv          (yq, xh) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    dxt           (yh, xh) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    dyCu          (yh, xq) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    dyCv          (yq, xh) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    dyt           (yh, xh) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    geolat        (yh, xh) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    geolat_c      (yq, xq) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    geolat_u      (yh, xq) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    geolat_v      (yq, xh) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    geolon        (yh, xh) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    geolon_c      (yq, xq) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    geolon_u      (yh, xq) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
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       "    hfgeou        (yh, xh) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    sftof         (yh, xh) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    thkcello      (z_l, yh, xh) float32 dask.array<chunksize=(1, 576, 720), meta=np.ndarray>\n",
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       "    wet_c         (yq, xq) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    wet_u         (yh, xq) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    wet_v         (yq, xh) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
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       "    time_bnds     (time, nv) timedelta64[ns] dask.array<chunksize=(1, 2), meta=np.ndarray>\n",
       "    thetao        (time, z_l, yh, xh) float32 dask.array<chunksize=(1, 1, 576, 720), meta=np.ndarray>\n",
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       "    vmo           (time, z_l, yq, xh) float32 dask.array<chunksize=(1, 1, 576, 720), meta=np.ndarray>\n",
       "    vo            (time, z_l, yq, xh) float32 dask.array<chunksize=(1, 1, 576, 720), meta=np.ndarray>\n",
       "    volcello      (time, z_l, yh, xh) float32 dask.array<chunksize=(1, 1, 576, 720), meta=np.ndarray>\n",
       "    zos           (time, yh, xh) float32 dask.array<chunksize=(1, 576, 720), meta=np.ndarray>\n",
       "Attributes:\n",
       "    filename:                        ocean_monthly.200301-200712.zos.nc\n",
       "    title:                           OM4p5_IAF_BLING_CFC_abio_csf_mle200\n",
       "    associated_files:                areacello: 20030101.ocean_static.nc\n",
       "    grid_type:                       regular\n",
       "    grid_tile:                       N/A\n",
       "    external_variables:              areacello\n",
       "    DODS_EXTRA.Unlimited_Dimension:  time"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Grid variables"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* The horizontal dimensions are a combination of (xh or xq) and (yh or yq) corresponding to the staggered point. In the vertical z_l refers to the depth of the center of the layer and z_i to the position of the interfaces, such as len(z_i) = len(z_l) +1.\n",
    "\n",
    "* the geolon/geolat family are the **TRUE** geographical coordinates and are the longitude/latitude you want to use to plot results. The subscript correspond to the staggered point (c: corner, u: U-point, v: V-point, no subscript: center)\n",
    "\n",
    "* the areacello family is the horizontal area of the ocean cell at various points with a slightly naming convention (bu: corner, cu: U-point, cv: V-point, no subscript: center). Since the grid cells are irregular, it is worth noting that $areacello \\neq dxt * dyt$\n",
    "\n",
    "* the dx/dy family has the following naming convention: dx(Cu: U-point, Cv: V-point, no suffix: center)\n",
    "\n",
    "* thkcello is the layer thickness for each cell (variable). volcello is the volume of the cell, such as:\n",
    "\n",
    "  $$volcello = areacello * thkcello$$\n",
    "\n",
    "\n",
    "The MOM6 output can be written in symmetric (**len(Xq) = len(Xh) + 1**) or non-symmetric mode (**len(Xq) = len(Xh)**), where X is a notation for both x and y.\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Building a xgcm grid object"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[xgcm](https://xgcm.readthedocs.io/en/latest/index.html) adds staggered grid information to xarray. To use its functionalities,\n",
    "one must define a xgcm grid object. In symmetric mode, one would define the grid for the global as:\n",
    "\n",
    "```python\n",
    "grid = Grid(ds, coords={'X': {'inner': 'xh', 'outer': 'xq'},\n",
    "                        'Y': {'inner': 'yh', 'outer': 'yq'},\n",
    "                        'Z': {'inner': 'z_l', 'outer': 'z_i'} }, periodic=['X'])\n",
    "```\n",
    "\n",
    "and in non-symmetric mode:\n",
    "\n",
    "```python\n",
    "\n",
    "grid = Grid(ds, coords={'X': {'center': 'xh', 'right': 'xq'},\n",
    "                        'Y': {'center': 'yh', 'right': 'yq'},\n",
    "                        'Z': {'inner': 'z_l', 'outer': 'z_i'} }, periodic=['X'])\n",
    "```\n",
    "\n",
    "Of course, **do not forget to drop the periodic option if you are running a regional model**. Our data is written in non-symmetric mode hence:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "grid = Grid(ds, coords={'X': {'center': 'xh', 'right': 'xq'},\n",
    "                        'Y': {'center': 'yh', 'right': 'yq'},\n",
    "                        'Z': {'inner': 'z_l', 'outer': 'z_i'} }, periodic=['X'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## A note on geographical coordinates"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "MOM6 uses land processor elimination, which creates blank holes in the produced geolon/geolat fields. This can result in problems while plotting. It is recommended to overwrite them by the full arrays that are produced by running the model for a few steps without land processor elimination. Here we copy one of these files."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "ocean_grid_sym = xr.open_dataset('./data/ocean_grid_sym_OM4_05.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:   (xh: 720, xq: 721, yh: 576, yq: 577)\n",
       "Coordinates:\n",
       "  * xh        (xh) float64 -299.8 -299.2 -298.8 -298.2 ... 58.75 59.25 59.75\n",
       "  * xq        (xq) float64 -300.0 -299.5 -299.0 -298.5 ... 58.5 59.0 59.5 60.0\n",
       "  * yh        (yh) float64 -77.91 -77.72 -77.54 -77.36 ... 89.47 89.68 89.89\n",
       "  * yq        (yq) float64 -78.0 -77.82 -77.63 -77.45 ... 89.37 89.58 89.79 90.0\n",
       "Data variables:\n",
       "    geolat    (yh, xh) float32 ...\n",
       "    geolat_c  (yq, xq) float32 ...\n",
       "    geolon    (yh, xh) float32 ...\n",
       "    geolon_c  (yq, xq) float32 ...\n",
       "Attributes:\n",
       "    filename:   19000101.ocean_static.nc\n",
       "    title:      OM4_SIS2_cgrid_05\n",
       "    grid_type:  regular\n",
       "    grid_tile:  N/A\n",
       "    history:    Tue Mar  3 13:41:58 2020: ncks -v geolon,geolon_c,geolat,geol...\n",
       "    NCO:        4.0.3</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-682158ea-1fbd-4d9c-bd0c-3ad0d6db9335' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-682158ea-1fbd-4d9c-bd0c-3ad0d6db9335' 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'>xh</span>: 720</li><li><span class='xr-has-index'>xq</span>: 721</li><li><span class='xr-has-index'>yh</span>: 576</li><li><span class='xr-has-index'>yq</span>: 577</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e9031ca4-dfbc-44cc-8cbd-79796c3c95a9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e9031ca4-dfbc-44cc-8cbd-79796c3c95a9' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xh</span></div><div class='xr-var-dims'>(xh)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-299.8 -299.2 ... 59.25 59.75</div><input id='attrs-980def7a-e352-468b-bf34-498b57ac74ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-980def7a-e352-468b-bf34-498b57ac74ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cdcec61-7eb4-49f0-b56f-5160bb41b73f' class='xr-var-data-in' type='checkbox'><label for='data-5cdcec61-7eb4-49f0-b56f-5160bb41b73f' title='Show/Hide data repr'><svg 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>h point nominal longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>cartesian_axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-299.75, -299.25, -298.75, ...,   58.75,   59.25,   59.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xq</span></div><div class='xr-var-dims'>(xq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-300.0 -299.5 -299.0 ... 59.5 60.0</div><input id='attrs-0aa72fa9-e3a8-4abd-b24b-3dbb44994ce6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0aa72fa9-e3a8-4abd-b24b-3dbb44994ce6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29b9f77d-ef89-4f2f-ae58-354d766bdf99' class='xr-var-data-in' type='checkbox'><label for='data-29b9f77d-ef89-4f2f-ae58-354d766bdf99' title='Show/Hide data repr'><svg 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>q point nominal longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>cartesian_axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-300. , -299.5, -299. , ...,   59. ,   59.5,   60. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yh</span></div><div class='xr-var-dims'>(yh)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-77.91 -77.72 ... 89.68 89.89</div><input id='attrs-76f6c52c-6b45-449b-b091-7ca5e0198703' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76f6c52c-6b45-449b-b091-7ca5e0198703' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec793993-77c1-4dc7-a1c8-94d348f91a8c' class='xr-var-data-in' type='checkbox'><label for='data-ec793993-77c1-4dc7-a1c8-94d348f91a8c' title='Show/Hide data repr'><svg 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>h point nominal latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>cartesian_axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-77.907938, -77.723813, -77.539688, ...,  89.472   ,  89.6832  ,\n",
       "        89.8944  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yq</span></div><div class='xr-var-dims'>(yq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-78.0 -77.82 -77.63 ... 89.79 90.0</div><input id='attrs-a2c03a50-2950-49e5-8fdf-b838b9043808' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2c03a50-2950-49e5-8fdf-b838b9043808' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a276c6e4-613d-414a-8b71-dc104081cfda' class='xr-var-data-in' type='checkbox'><label for='data-a276c6e4-613d-414a-8b71-dc104081cfda' title='Show/Hide data repr'><svg 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>q point nominal latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>cartesian_axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-78.      , -77.815875, -77.63175 , ...,  89.5776  ,  89.7888  ,\n",
       "        90.      ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-23c8a00a-534b-49ed-be08-eea65f3a63cd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-23c8a00a-534b-49ed-be08-eea65f3a63cd' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>geolat</span></div><div class='xr-var-dims'>(yh, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-89e28afc-1248-4cb1-b651-51e8d4e96c64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89e28afc-1248-4cb1-b651-51e8d4e96c64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3db71dfb-2563-446f-bb88-ad4255899a8b' class='xr-var-data-in' type='checkbox'><label for='data-3db71dfb-2563-446f-bb88-ad4255899a8b' title='Show/Hide data repr'><svg 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>Latitude of tracer (T) points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd></dl></div><div class='xr-var-data'><pre>[414720 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geolat_c</span></div><div class='xr-var-dims'>(yq, xq)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-31f0712b-9b72-4cbc-bf9d-a41064eaf894' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31f0712b-9b72-4cbc-bf9d-a41064eaf894' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23b0476c-f5d1-40ab-88c5-8dfb85975d75' class='xr-var-data-in' type='checkbox'><label for='data-23b0476c-f5d1-40ab-88c5-8dfb85975d75' title='Show/Hide data repr'><svg 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>Latitude of corner (Bu) points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>interp_method :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><pre>[416017 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geolon</span></div><div class='xr-var-dims'>(yh, xh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6191db0a-f2d4-4e97-940f-67d524d6921b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6191db0a-f2d4-4e97-940f-67d524d6921b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-247aaf40-9c63-4df2-a696-3ec222ee28a3' class='xr-var-data-in' type='checkbox'><label for='data-247aaf40-9c63-4df2-a696-3ec222ee28a3' title='Show/Hide data repr'><svg 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>Longitude of tracer (T) points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd></dl></div><div class='xr-var-data'><pre>[414720 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geolon_c</span></div><div class='xr-var-dims'>(yq, xq)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2e2f8771-4e16-494b-b040-f4db39f14237' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e2f8771-4e16-494b-b040-f4db39f14237' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3397b4e-fe36-4ee5-aeca-fe39def6982c' class='xr-var-data-in' type='checkbox'><label for='data-d3397b4e-fe36-4ee5-aeca-fe39def6982c' title='Show/Hide data repr'><svg 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>Longitude of corner (Bu) points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>interp_method :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><pre>[416017 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f66d13d1-c634-4d5c-8a2d-5fa0d4e0e015' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f66d13d1-c634-4d5c-8a2d-5fa0d4e0e015' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>filename :</span></dt><dd>19000101.ocean_static.nc</dd><dt><span>title :</span></dt><dd>OM4_SIS2_cgrid_05</dd><dt><span>grid_type :</span></dt><dd>regular</dd><dt><span>grid_tile :</span></dt><dd>N/A</dd><dt><span>history :</span></dt><dd>Tue Mar  3 13:41:58 2020: ncks -v geolon,geolon_c,geolat,geolat_c /archive/gold/datasets/OM4_05/mosaic_ocean.v20180227.unpacked/ocean_static_sym.nc -o ocean_grid_sym_OM5_05.nc</dd><dt><span>NCO :</span></dt><dd>4.0.3</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:   (xh: 720, xq: 721, yh: 576, yq: 577)\n",
       "Coordinates:\n",
       "  * xh        (xh) float64 -299.8 -299.2 -298.8 -298.2 ... 58.75 59.25 59.75\n",
       "  * xq        (xq) float64 -300.0 -299.5 -299.0 -298.5 ... 58.5 59.0 59.5 60.0\n",
       "  * yh        (yh) float64 -77.91 -77.72 -77.54 -77.36 ... 89.47 89.68 89.89\n",
       "  * yq        (yq) float64 -78.0 -77.82 -77.63 -77.45 ... 89.37 89.58 89.79 90.0\n",
       "Data variables:\n",
       "    geolat    (yh, xh) float32 ...\n",
       "    geolat_c  (yq, xq) float32 ...\n",
       "    geolon    (yh, xh) float32 ...\n",
       "    geolon_c  (yq, xq) float32 ...\n",
       "Attributes:\n",
       "    filename:   19000101.ocean_static.nc\n",
       "    title:      OM4_SIS2_cgrid_05\n",
       "    grid_type:  regular\n",
       "    grid_tile:  N/A\n",
       "    history:    Tue Mar  3 13:41:58 2020: ncks -v geolon,geolon_c,geolat,geol...\n",
       "    NCO:        4.0.3"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ocean_grid_sym"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I took here a symetric grid for the purpose of showing the differences. Since this grid is symetric and MOM6 uses the north-east convention, we need to remove the first row and column in our arrays.\n",
    "\n",
    "To overwrite our \"gruyere\" coordinates in our Non-symetric dataset, we can do:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds['geolon_c'] = xr.DataArray(data=ocean_grid_sym['geolon_c'][1:,1:], dims=('yq', 'xq'))\n",
    "ds['geolat_c'] = xr.DataArray(data=ocean_grid_sym['geolat_c'][1:,1:], dims=('yq', 'xq'))\n",
    "\n",
    "ds['geolon'] = xr.DataArray(data=ocean_grid_sym['geolon'], dims=('yh', 'xh'))\n",
    "ds['geolat'] = xr.DataArray(data=ocean_grid_sym['geolat'], dims=('yh', 'xh'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To be able to plot using true longitude and latitude, we need to make geolon/geolat coordinates of the xarray.Dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = ds.assign_coords({'geolon': ds['geolon'],\n",
    "                       'geolat': ds['geolat']})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now notice the difference in the arctic between nominal (bad) coordinates and the true coordinates:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f04a86f0588>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds['thetao'].isel(time=0, z_l=0).plot(vmin=-2, vmax=32,\n",
    "                                      cmap=cmocean.cm.thermal,\n",
    "                                      figsize=[10, 6])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f04a85bb860>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds['thetao'].isel(time=0, z_l=0).plot(vmin=-2, vmax=32,\n",
    "                                      x='geolon', y='geolat',\n",
    "                                      cmap=cmocean.cm.thermal,\n",
    "                                      figsize=[10, 6])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### More control on xarray plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the latest xarray >= 0.16.0, you can now adjust plot properties\n",
    "more easily:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1008x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=[14, 6])\n",
    "p = ds['thetao'].isel(time=0, z_l=0).plot(vmin=-2, vmax=32,\n",
    "                                          x='geolon', y='geolat',\n",
    "                                          cmap=cmocean.cm.thermal,\n",
    "                                          subplot_kws={'projection': ccrs.Robinson(),\n",
    "                                                       'facecolor':'grey'},\n",
    "                                          transform=ccrs.PlateCarree(),\n",
    "                                          add_labels=False,\n",
    "                                          add_colorbar=False)\n",
    "p.axes.coastlines()\n",
    "p.axes.gridlines(color='black', alpha=0.5, linestyle='--')\n",
    "\n",
    "# add separate colorbar\n",
    "cb = plt.colorbar(p, ticks=[0,5,10,15,20,25,30], shrink=0.95)\n",
    "cb.ax.tick_params(labelsize=18)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "More plotting examples in the plotting section of the cookbook!"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "cookbook",
   "language": "python",
   "name": "mom6docs"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}