{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "2d3717d1-195b-49a0-95fb-1c0663e3ef7a",
   "metadata": {},
   "source": [
    "# Model subsetting\n",
    "\n",
    "Demonstration of accessing models with `model_catalogs` and then subsequent model manipulations with `extract_model`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "bc7b9da2-220a-44d1-beeb-22cd3ada7b3a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/kthyng/miniconda3/envs/libgoods-docs/lib/python3.9/site-packages/extract_model/extract_model.py:21: UserWarning: xESMF not found. Interpolation will not work.\n",
      "  warnings.warn(\"xESMF not found. Interpolation will not work.\")  # pragma: no cover\n"
     ]
    }
   ],
   "source": [
    "import xarray as xr\n",
    "import model_catalogs as mc\n",
    "import pandas as pd\n",
    "import extract_model as em"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd990288-2f68-4edb-a962-8ebb2ec4ae05",
   "metadata": {},
   "source": [
    "## Model output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "112967ee-5dac-4132-bf2d-d33985483dae",
   "metadata": {},
   "outputs": [],
   "source": [
    "start = pd.Timestamp.today()\n",
    "end = start + pd.Timedelta('1 day')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4fcefcdc-3710-49a2-8eac-5462fe9087b3",
   "metadata": {},
   "source": [
    "### 1. Curvilinear, multiple horizontal grids"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3fd5b00b-3105-46da-b2d0-9bd0745375a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = 'CBOFS'\n",
    "\n",
    "lon_range, lat_range = [-76, -75], [37, 38]\n",
    "bbox_cbofs = [lon_range[0], lat_range[0], lon_range[1], lat_range[1]]\n",
    "\n",
    "main_cat = mc.setup()\n",
    "source = mc.select_date_range(main_cat[model], timing='nowcast', start_date=start, end_date=end)\n",
    "ds_cbofs = source.to_dask()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4611eaab-3a20-49ac-8e8b-0b0fc1cfa01e",
   "metadata": {},
   "source": [
    "### 2. Rectilinear grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "fb8ccab4-a472-4793-b679-94b06afda756",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = 'CBOFS-REGULARGRID'\n",
    "\n",
    "lon_range, lat_range = [-76, -75], [37, 38]\n",
    "bbox_cbofs_rg = [lon_range[0], lat_range[0], lon_range[1], lat_range[1]]\n",
    "\n",
    "source = mc.select_date_range(main_cat[model], timing='forecast', start_date=start, end_date=end)\n",
    "ds_cbofs_rg = source.to_dask()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0dadb987-1869-4fe6-831b-efb35ac8e868",
   "metadata": {},
   "source": [
    "### 3. Curvilinear, single horizontal grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "165bf0df-7798-435e-9e8b-9b2377b59477",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = 'LOOFS'\n",
    "\n",
    "bbox_loofs = [-78.8, 43.5, -77.5, 43.8]\n",
    "\n",
    "source = mc.select_date_range(main_cat[model], timing='nowcast', start_date=start, end_date=end)\n",
    "ds_loofs = source.to_dask()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22c07e79-945b-466b-8dfd-93edbc1238de",
   "metadata": {},
   "source": [
    "### 4. Unstructured grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "070669e3-ceff-4306-8bb9-c8989b2a0982",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = 'NGOFS2'\n",
    "\n",
    "bbox_ngofs2 = [-98+360, 27, -97+360, 28]\n",
    "\n",
    "source = mc.select_date_range(main_cat[model], timing='forecast', start_date=start, end_date=end)\n",
    "ds_ngofs2 = source.to_dask()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7749258-aebd-4c13-8ba6-77f244ac81bf",
   "metadata": {},
   "source": [
    "## Subset Spatially"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44bc70a5-949d-4d55-84ae-84b9077a001a",
   "metadata": {},
   "source": [
    "### 1. Curvilinear, multiple horizontal grids\n",
    "\n",
    "Subsetting in more complicated for this example case because it is a ROMS model that is both curvilinear and has multiple horizontal grids (such that different variables in the Dataset may have different associated horizontal grids)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bfad55c7-8681-4f49-adc4-ca1719fddc8a",
   "metadata": {},
   "source": [
    "#### Subset DataArray to box\n",
    "\n",
    "Narrow only a single variable to the bounding box."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d703eb2d-103d-4c8c-9ced-ee69b879ce60",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x1676b9760>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_cbofs['zeta'].em.sub_bbox(bbox=bbox_cbofs).cf.isel(T=0).cf.plot(x='longitude', y='latitude')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "611efb20-42c6-4a1e-a303-4e6fd1d96ef6",
   "metadata": {},
   "source": [
    "#### Subset Dataset to box\n",
    "\n",
    "Narrow all variables in the Dataset to the bounding box."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2f2f0a00-c611-4289-ba72-e3ce513b107f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
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       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:         (tracer: 3, boundary: 4, s_rho: 20, s_w: 21, eta_rho: 124,\n",
       "                     xi_rho: 151, eta_u: 124, xi_u: 150, eta_v: 123, xi_v: 149,\n",
       "                     eta_psi: 123, xi_psi: 149, ocean_time: 24)\n",
       "Coordinates: (12/19)\n",
       "  * s_rho           (s_rho) float64 -0.975 -0.925 -0.875 ... -0.075 -0.025\n",
       "  * s_w             (s_w) float64 -1.0 -0.95 -0.9 -0.85 ... -0.15 -0.1 -0.05 0.0\n",
       "    lon_rho         (eta_rho, xi_rho) float64 dask.array&lt;chunksize=(124, 151), meta=np.ndarray&gt;\n",
       "    lat_rho         (eta_rho, xi_rho) float64 dask.array&lt;chunksize=(124, 151), meta=np.ndarray&gt;\n",
       "  * xi_rho          (xi_rho) int64 181 182 183 184 185 ... 327 328 329 330 331\n",
       "  * eta_rho         (eta_rho) int64 3 4 5 6 7 8 9 ... 121 122 123 124 125 126\n",
       "    ...              ...\n",
       "  * eta_v           (eta_v) int64 3 4 5 6 7 8 9 ... 119 120 121 122 123 124 125\n",
       "    lon_psi         (eta_psi, xi_psi) float64 dask.array&lt;chunksize=(123, 149), meta=np.ndarray&gt;\n",
       "    lat_psi         (eta_psi, xi_psi) float64 dask.array&lt;chunksize=(123, 149), meta=np.ndarray&gt;\n",
       "  * xi_psi          (xi_psi) int64 182 183 184 185 186 ... 326 327 328 329 330\n",
       "  * eta_psi         (eta_psi) int64 3 4 5 6 7 8 9 ... 120 121 122 123 124 125\n",
       "  * ocean_time      (ocean_time) datetime64[ns] 2022-08-25T11:00:00 ... 2022-...\n",
       "Dimensions without coordinates: tracer, boundary\n",
       "Data variables: (12/97)\n",
       "    ntimes          int32 ...\n",
       "    ndtfast         int32 ...\n",
       "    dt              float64 ...\n",
       "    dtfast          float64 ...\n",
       "    dstart          datetime64[ns] ...\n",
       "    nHIS            int32 ...\n",
       "    ...              ...\n",
       "    temp            (ocean_time, s_rho, eta_rho, xi_rho) float32 dask.array&lt;chunksize=(1, 20, 124, 151), meta=np.ndarray&gt;\n",
       "    salt            (ocean_time, s_rho, eta_rho, xi_rho) float32 dask.array&lt;chunksize=(1, 20, 124, 151), meta=np.ndarray&gt;\n",
       "    oxygen          (ocean_time, s_rho, eta_rho, xi_rho) float32 dask.array&lt;chunksize=(1, 20, 124, 151), meta=np.ndarray&gt;\n",
       "    Pair            (ocean_time, eta_rho, xi_rho) float32 dask.array&lt;chunksize=(1, 124, 151), meta=np.ndarray&gt;\n",
       "    Uwind           (ocean_time, eta_rho, xi_rho) float32 dask.array&lt;chunksize=(1, 124, 151), meta=np.ndarray&gt;\n",
       "    Vwind           (ocean_time, eta_rho, xi_rho) float32 dask.array&lt;chunksize=(1, 124, 151), meta=np.ndarray&gt;\n",
       "Attributes: (12/37)\n",
       "    file:                            nos.cbofs.fields.nowcast.20220825.t12z_0...\n",
       "    format:                          netCDF-4/HDF5 file\n",
       "    Conventions:                     CF-1.4, SGRID-0.3\n",
       "    type:                            ROMS/TOMS history file\n",
       "    title:                           cbofs nowcast RUN in operational mode\n",
       "    var_info:                        varinfo.dat\n",
       "    ...                              ...\n",
       "    history:                         ROMS/TOMS, Version 3.9, Thursday - Augus...\n",
       "    ana_file:                        ROMS/Functionals/ana_btflux.h, ROMS/Func...\n",
       "    CPP_options:                     mode, ADD_FSOBC, ADD_M2OBC, ANA_BPFLUX, ...\n",
       "    bio_file:                        ROMS/Nonlinear/Biology/hypoxia_srm.h\n",
       "    DODS_EXTRA.Unlimited_Dimension:  ocean_time\n",
       "    EXTRA_DIMENSION.N:               20</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-aeb6d464-d5af-4dd3-aa83-8f887cfeafc2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-aeb6d464-d5af-4dd3-aa83-8f887cfeafc2' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>tracer</span>: 3</li><li><span>boundary</span>: 4</li><li><span class='xr-has-index'>s_rho</span>: 20</li><li><span class='xr-has-index'>s_w</span>: 21</li><li><span class='xr-has-index'>eta_rho</span>: 124</li><li><span class='xr-has-index'>xi_rho</span>: 151</li><li><span class='xr-has-index'>eta_u</span>: 124</li><li><span class='xr-has-index'>xi_u</span>: 150</li><li><span class='xr-has-index'>eta_v</span>: 123</li><li><span class='xr-has-index'>xi_v</span>: 149</li><li><span class='xr-has-index'>eta_psi</span>: 123</li><li><span class='xr-has-index'>xi_psi</span>: 149</li><li><span class='xr-has-index'>ocean_time</span>: 24</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d83e82fa-04fb-4dfc-a0bf-8c2d52734229' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d83e82fa-04fb-4dfc-a0bf-8c2d52734229' class='xr-section-summary' >Coordinates: <span>(19)</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'>s_rho</span></div><div class='xr-var-dims'>(s_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.975 -0.925 ... -0.075 -0.025</div><input id='attrs-e1558130-f95d-47ca-adc6-bb0427903d8e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1558130-f95d-47ca-adc6-bb0427903d8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16cbcd0d-6026-4394-81a0-97c4fa7fd10a' class='xr-var-data-in' type='checkbox'><label for='data-16cbcd0d-6026-4394-81a0-97c4fa7fd10a' title='Show/Hide data repr'><svg 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>S-coordinate at RHO-points</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>ocean_s_coordinate_g1</dd><dt><span>formula_terms :</span></dt><dd>s: s_rho C: Cs_r eta: zeta depth: h depth_c: hc</dd><dt><span>field :</span></dt><dd>s_rho, scalar</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([-0.975, -0.925, -0.875, -0.825, -0.775, -0.725, -0.675, -0.625, -0.575,\n",
       "       -0.525, -0.475, -0.425, -0.375, -0.325, -0.275, -0.225, -0.175, -0.125,\n",
       "       -0.075, -0.025])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>s_w</span></div><div class='xr-var-dims'>(s_w)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.0 -0.95 -0.9 ... -0.1 -0.05 0.0</div><input id='attrs-45639ad3-3698-4540-865c-21a5868a0077' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45639ad3-3698-4540-865c-21a5868a0077' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20dea6f1-0748-475b-9b12-06afcde12189' class='xr-var-data-in' type='checkbox'><label for='data-20dea6f1-0748-475b-9b12-06afcde12189' title='Show/Hide data repr'><svg 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>S-coordinate at W-points</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>ocean_s_coordinate_g1</dd><dt><span>formula_terms :</span></dt><dd>s: s_w C: Cs_w eta: zeta depth: h depth_c: hc</dd><dt><span>field :</span></dt><dd>s_w, scalar</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([-1.  , -0.95, -0.9 , -0.85, -0.8 , -0.75, -0.7 , -0.65, -0.6 , -0.55,\n",
       "       -0.5 , -0.45, -0.4 , -0.35, -0.3 , -0.25, -0.2 , -0.15, -0.1 , -0.05,\n",
       "        0.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_rho</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(124, 151), meta=np.ndarray&gt;</div><input id='attrs-7650bcca-1a6f-471a-adf9-5b9d0b9f6678' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7650bcca-1a6f-471a-adf9-5b9d0b9f6678' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d9acc51-bb6c-4fa4-bad9-7cd3f9486c98' class='xr-var-data-in' type='checkbox'><label for='data-8d9acc51-bb6c-4fa4-bad9-7cd3f9486c98' title='Show/Hide data repr'><svg 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 RHO-points</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>field :</span></dt><dd>lon_rho, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 146.28 kiB </td>\n",
       "                        <td> 146.28 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (124, 151) </td>\n",
       "                        <td> (124, 151) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 44 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_rho</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(124, 151), meta=np.ndarray&gt;</div><input id='attrs-be78da56-8221-48db-a4e3-5f8af43f1bc7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be78da56-8221-48db-a4e3-5f8af43f1bc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb6a751e-671f-45d5-a24a-89535e684f6b' class='xr-var-data-in' type='checkbox'><label for='data-fb6a751e-671f-45d5-a24a-89535e684f6b' title='Show/Hide data repr'><svg 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 RHO-points</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>field :</span></dt><dd>lat_rho, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 146.28 kiB </td>\n",
       "                        <td> 146.28 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (124, 151) </td>\n",
       "                        <td> (124, 151) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 44 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xi_rho</span></div><div class='xr-var-dims'>(xi_rho)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>181 182 183 184 ... 328 329 330 331</div><input id='attrs-d1ec3e4f-ec10-43e6-bd14-5967f927b1a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1ec3e4f-ec10-43e6-bd14-5967f927b1a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdd1ec6e-37f2-4d64-8c0c-71441dbfeb4f' class='xr-var-data-in' type='checkbox'><label for='data-fdd1ec6e-37f2-4d64-8c0c-71441dbfeb4f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194,\n",
       "       195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208,\n",
       "       209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222,\n",
       "       223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236,\n",
       "       237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250,\n",
       "       251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264,\n",
       "       265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278,\n",
       "       279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292,\n",
       "       293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306,\n",
       "       307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320,\n",
       "       321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>eta_rho</span></div><div class='xr-var-dims'>(eta_rho)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>3 4 5 6 7 8 ... 122 123 124 125 126</div><input id='attrs-ddac997c-9876-437b-b12d-72251a16af32' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ddac997c-9876-437b-b12d-72251a16af32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eccda96e-65c5-431f-9099-30343d6a5ba4' class='xr-var-data-in' type='checkbox'><label for='data-eccda96e-65c5-431f-9099-30343d6a5ba4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([  3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,  14,  15,  16,\n",
       "        17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,  28,  29,  30,\n",
       "        31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,  42,  43,  44,\n",
       "        45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,  56,  57,  58,\n",
       "        59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,  70,  71,  72,\n",
       "        73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,  84,  85,  86,\n",
       "        87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,  98,  99, 100,\n",
       "       101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,\n",
       "       115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_u</span></div><div class='xr-var-dims'>(eta_u, xi_u)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(124, 150), meta=np.ndarray&gt;</div><input id='attrs-ea7ac54e-1b90-4896-8966-541b898cf684' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea7ac54e-1b90-4896-8966-541b898cf684' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa639100-3cf3-4895-b50a-dad855494b19' class='xr-var-data-in' type='checkbox'><label for='data-aa639100-3cf3-4895-b50a-dad855494b19' title='Show/Hide data repr'><svg 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 U-points</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>field :</span></dt><dd>lon_u, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 145.31 kiB </td>\n",
       "                        <td> 145.31 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (124, 150) </td>\n",
       "                        <td> (124, 150) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 8 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_u</span></div><div class='xr-var-dims'>(eta_u, xi_u)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(124, 150), meta=np.ndarray&gt;</div><input id='attrs-8c77f4cf-fd0f-4a4c-ab98-e14b8d11806d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c77f4cf-fd0f-4a4c-ab98-e14b8d11806d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-654ef755-3703-4eb0-8ec7-4553b87a2a60' class='xr-var-data-in' type='checkbox'><label for='data-654ef755-3703-4eb0-8ec7-4553b87a2a60' title='Show/Hide data repr'><svg 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 U-points</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>field :</span></dt><dd>lat_u, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 145.31 kiB </td>\n",
       "                        <td> 145.31 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (124, 150) </td>\n",
       "                        <td> (124, 150) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 8 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"149\" 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=\"99\" x2=\"120\" y2=\"99\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"99\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"99\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,99.2 0.0,99.2\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"119.200000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >150</text>\n",
       "  <text x=\"140.000000\" y=\"49.600000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,49.600000)\">124</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xi_u</span></div><div class='xr-var-dims'>(xi_u)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>181 182 183 184 ... 327 328 329 330</div><input id='attrs-1942c4f0-1cce-4cae-b9af-11183404e9ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1942c4f0-1cce-4cae-b9af-11183404e9ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87a290c3-7b8b-43d4-aef2-c7f87dfe5f02' class='xr-var-data-in' type='checkbox'><label for='data-87a290c3-7b8b-43d4-aef2-c7f87dfe5f02' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194,\n",
       "       195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208,\n",
       "       209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222,\n",
       "       223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236,\n",
       "       237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250,\n",
       "       251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264,\n",
       "       265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278,\n",
       "       279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292,\n",
       "       293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306,\n",
       "       307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320,\n",
       "       321, 322, 323, 324, 325, 326, 327, 328, 329, 330])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>eta_u</span></div><div class='xr-var-dims'>(eta_u)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>3 4 5 6 7 8 ... 122 123 124 125 126</div><input id='attrs-fe4b5fee-eb16-4bba-b91c-a8faeda232a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe4b5fee-eb16-4bba-b91c-a8faeda232a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca5f9166-147a-43e2-9fc6-2aa45ad20b2d' class='xr-var-data-in' type='checkbox'><label for='data-ca5f9166-147a-43e2-9fc6-2aa45ad20b2d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([  3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,  14,  15,  16,\n",
       "        17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,  28,  29,  30,\n",
       "        31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,  42,  43,  44,\n",
       "        45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,  56,  57,  58,\n",
       "        59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,  70,  71,  72,\n",
       "        73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,  84,  85,  86,\n",
       "        87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,  98,  99, 100,\n",
       "       101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,\n",
       "       115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_v</span></div><div class='xr-var-dims'>(eta_v, xi_v)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(123, 149), meta=np.ndarray&gt;</div><input id='attrs-5ee1b9cc-5799-4c9b-9ec4-5ba805ce542b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ee1b9cc-5799-4c9b-9ec4-5ba805ce542b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce986e91-791b-42e1-94c6-e77929aa5a93' class='xr-var-data-in' type='checkbox'><label for='data-ce986e91-791b-42e1-94c6-e77929aa5a93' title='Show/Hide data repr'><svg 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 V-points</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>field :</span></dt><dd>lon_v, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 143.18 kiB </td>\n",
       "                        <td> 143.18 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (123, 149) </td>\n",
       "                        <td> (123, 149) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 8 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"149\" 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=\"99\" x2=\"120\" y2=\"99\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"99\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"99\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,99.06040268456375 0.0,99.06040268456375\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"119.060403\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >149</text>\n",
       "  <text x=\"140.000000\" y=\"49.530201\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,49.530201)\">123</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_v</span></div><div class='xr-var-dims'>(eta_v, xi_v)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(123, 149), meta=np.ndarray&gt;</div><input id='attrs-318923d6-27ee-4816-900e-c7edf95332d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-318923d6-27ee-4816-900e-c7edf95332d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b897b53c-b59e-4896-9cc8-559ffbdbc319' class='xr-var-data-in' type='checkbox'><label for='data-b897b53c-b59e-4896-9cc8-559ffbdbc319' title='Show/Hide data repr'><svg 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 V-points</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>field :</span></dt><dd>lat_v, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 143.18 kiB </td>\n",
       "                        <td> 143.18 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (123, 149) </td>\n",
       "                        <td> (123, 149) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 8 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"149\" 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=\"99\" x2=\"120\" y2=\"99\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"99\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"99\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,99.06040268456375 0.0,99.06040268456375\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"119.060403\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >149</text>\n",
       "  <text x=\"140.000000\" y=\"49.530201\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,49.530201)\">123</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xi_v</span></div><div class='xr-var-dims'>(xi_v)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>183 184 185 186 ... 328 329 330 331</div><input id='attrs-4136cc6e-88fa-4739-a278-ecb66694ab62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4136cc6e-88fa-4739-a278-ecb66694ab62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f0033c9-01a7-4cc8-a94f-2ea0d59d2b70' class='xr-var-data-in' type='checkbox'><label for='data-3f0033c9-01a7-4cc8-a94f-2ea0d59d2b70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196,\n",
       "       197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210,\n",
       "       211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224,\n",
       "       225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238,\n",
       "       239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252,\n",
       "       253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266,\n",
       "       267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280,\n",
       "       281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294,\n",
       "       295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308,\n",
       "       309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322,\n",
       "       323, 324, 325, 326, 327, 328, 329, 330, 331])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>eta_v</span></div><div class='xr-var-dims'>(eta_v)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>3 4 5 6 7 8 ... 121 122 123 124 125</div><input id='attrs-7ed446a8-f862-45b8-9a20-8a347b3f306c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ed446a8-f862-45b8-9a20-8a347b3f306c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-501870f8-0a51-472d-a1eb-e9e3673132a2' class='xr-var-data-in' type='checkbox'><label for='data-501870f8-0a51-472d-a1eb-e9e3673132a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([  3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,  14,  15,  16,\n",
       "        17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,  28,  29,  30,\n",
       "        31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,  42,  43,  44,\n",
       "        45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,  56,  57,  58,\n",
       "        59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,  70,  71,  72,\n",
       "        73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,  84,  85,  86,\n",
       "        87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,  98,  99, 100,\n",
       "       101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,\n",
       "       115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_psi</span></div><div class='xr-var-dims'>(eta_psi, xi_psi)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(123, 149), meta=np.ndarray&gt;</div><input id='attrs-5679ba9b-1c8a-4832-bf44-40ba2e8e2411' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5679ba9b-1c8a-4832-bf44-40ba2e8e2411' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-623c2835-a810-40c4-b592-4d7f1044dea3' class='xr-var-data-in' type='checkbox'><label for='data-623c2835-a810-40c4-b592-4d7f1044dea3' title='Show/Hide data repr'><svg 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 PSI-points</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>field :</span></dt><dd>lon_psi, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 143.18 kiB </td>\n",
       "                        <td> 143.18 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (123, 149) </td>\n",
       "                        <td> (123, 149) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 5 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"149\" 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=\"99\" x2=\"120\" y2=\"99\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"99\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"99\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,99.06040268456375 0.0,99.06040268456375\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"119.060403\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >149</text>\n",
       "  <text x=\"140.000000\" y=\"49.530201\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,49.530201)\">123</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_psi</span></div><div class='xr-var-dims'>(eta_psi, xi_psi)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(123, 149), meta=np.ndarray&gt;</div><input id='attrs-8175536d-0037-4a97-bd71-17b7eee66ed8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8175536d-0037-4a97-bd71-17b7eee66ed8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c481a03-cf6f-421f-9e73-0c51110acecf' class='xr-var-data-in' type='checkbox'><label for='data-8c481a03-cf6f-421f-9e73-0c51110acecf' title='Show/Hide data repr'><svg 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 PSI-points</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>field :</span></dt><dd>lat_psi, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 143.18 kiB </td>\n",
       "                        <td> 143.18 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (123, 149) </td>\n",
       "                        <td> (123, 149) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 5 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"149\" 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=\"99\" x2=\"120\" y2=\"99\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"99\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"99\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,99.06040268456375 0.0,99.06040268456375\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"119.060403\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >149</text>\n",
       "  <text x=\"140.000000\" y=\"49.530201\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,49.530201)\">123</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xi_psi</span></div><div class='xr-var-dims'>(xi_psi)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>182 183 184 185 ... 327 328 329 330</div><input id='attrs-067c061f-7267-4a41-bb81-30b8037eda92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-067c061f-7267-4a41-bb81-30b8037eda92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab27d2f2-a64c-4f97-bb36-2af5f643addc' class='xr-var-data-in' type='checkbox'><label for='data-ab27d2f2-a64c-4f97-bb36-2af5f643addc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195,\n",
       "       196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209,\n",
       "       210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223,\n",
       "       224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237,\n",
       "       238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251,\n",
       "       252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265,\n",
       "       266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279,\n",
       "       280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293,\n",
       "       294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307,\n",
       "       308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321,\n",
       "       322, 323, 324, 325, 326, 327, 328, 329, 330])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>eta_psi</span></div><div class='xr-var-dims'>(eta_psi)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>3 4 5 6 7 8 ... 121 122 123 124 125</div><input id='attrs-3d3630ea-a3f8-43a0-95d6-d70051a35c04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d3630ea-a3f8-43a0-95d6-d70051a35c04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9dce24ee-2cf1-43b6-88a4-b805fc748ce2' class='xr-var-data-in' type='checkbox'><label for='data-9dce24ee-2cf1-43b6-88a4-b805fc748ce2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([  3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,  14,  15,  16,\n",
       "        17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,  28,  29,  30,\n",
       "        31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,  42,  43,  44,\n",
       "        45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,  56,  57,  58,\n",
       "        59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,  70,  71,  72,\n",
       "        73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,  84,  85,  86,\n",
       "        87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,  98,  99, 100,\n",
       "       101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,\n",
       "       115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ocean_time</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-08-25T11:00:00 ... 2022-08-...</div><input id='attrs-5c4379da-4d26-42de-8df1-e80809338590' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c4379da-4d26-42de-8df1-e80809338590' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4d62245-2a0f-48c3-9c92-de470aa673d7' class='xr-var-data-in' type='checkbox'><label for='data-a4d62245-2a0f-48c3-9c92-de470aa673d7' title='Show/Hide data repr'><svg 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 since initialization</dd><dt><span>field :</span></dt><dd>time, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>512</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-08-25T11:00:00.000000000&#x27;, &#x27;2022-08-25T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T13:00:00.000000000&#x27;, &#x27;2022-08-25T14:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T15:00:00.000000000&#x27;, &#x27;2022-08-25T16:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T17:00:00.000000000&#x27;, &#x27;2022-08-25T18:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T19:00:00.000000000&#x27;, &#x27;2022-08-25T20:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T21:00:00.000000000&#x27;, &#x27;2022-08-25T22:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T23:00:00.000000000&#x27;, &#x27;2022-08-26T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-26T01:00:00.000000000&#x27;, &#x27;2022-08-26T02:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-26T03:00:00.000000000&#x27;, &#x27;2022-08-26T04:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-26T05:00:00.000000000&#x27;, &#x27;2022-08-26T06:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-26T07:00:00.000000000&#x27;, &#x27;2022-08-26T08:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-26T09:00:00.000000000&#x27;, &#x27;2022-08-26T10:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3688da40-b79b-4c72-b623-ba395c14ca48' class='xr-section-summary-in' type='checkbox'  ><label for='section-3688da40-b79b-4c72-b623-ba395c14ca48' class='xr-section-summary' >Data variables: <span>(97)</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>ntimes</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3a49eb30-2df8-4155-8975-7f0b88aeeaf2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a49eb30-2df8-4155-8975-7f0b88aeeaf2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e16a0bdf-5844-4b41-8c8a-2e50421ed7fb' class='xr-var-data-in' type='checkbox'><label for='data-e16a0bdf-5844-4b41-8c8a-2e50421ed7fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of long time-steps</dd></dl></div><div class='xr-var-data'><pre>array(4320, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ndtfast</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dde691b8-7693-4cd5-9774-618fc1135b43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dde691b8-7693-4cd5-9774-618fc1135b43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64beabc5-99da-4ce7-b55a-81126560a486' class='xr-var-data-in' type='checkbox'><label for='data-64beabc5-99da-4ce7-b55a-81126560a486' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of short time-steps</dd></dl></div><div class='xr-var-data'><pre>array(20, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dt</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-24b7e8fc-5900-4db3-92b7-8e702346409d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24b7e8fc-5900-4db3-92b7-8e702346409d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-939df4f4-3eb9-4293-83d8-d4e21baf8b38' class='xr-var-data-in' type='checkbox'><label for='data-939df4f4-3eb9-4293-83d8-d4e21baf8b38' title='Show/Hide data repr'><svg 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>size of long time-steps</dd><dt><span>units :</span></dt><dd>second</dd></dl></div><div class='xr-var-data'><pre>array(5.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dtfast</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-82eb0b77-984d-49f4-9ee0-7913c2c467eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82eb0b77-984d-49f4-9ee0-7913c2c467eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32e1778e-8edf-4fff-967a-43f771704450' class='xr-var-data-in' type='checkbox'><label for='data-32e1778e-8edf-4fff-967a-43f771704450' title='Show/Hide data repr'><svg 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>size of short time-steps</dd><dt><span>units :</span></dt><dd>second</dd></dl></div><div class='xr-var-data'><pre>array(0.25)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dstart</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-417d7d8d-6ed2-4f22-8ce2-9daeb01834a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-417d7d8d-6ed2-4f22-8ce2-9daeb01834a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3473a89d-0d97-4fe2-8d58-ecb037a56169' class='xr-var-data-in' type='checkbox'><label for='data-3473a89d-0d97-4fe2-8d58-ecb037a56169' title='Show/Hide data repr'><svg 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 stamp assigned to model initilization</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-08-25T06:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nHIS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-00cac56a-5359-4708-b0c0-b6cfa5e0c789' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00cac56a-5359-4708-b0c0-b6cfa5e0c789' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b602e8c4-7389-461c-972e-d2d54e9658af' class='xr-var-data-in' type='checkbox'><label for='data-b602e8c4-7389-461c-972e-d2d54e9658af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of time-steps between history records</dd></dl></div><div class='xr-var-data'><pre>array(720, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ndefHIS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-515fe868-b0cf-4174-966d-7b69b8bab835' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-515fe868-b0cf-4174-966d-7b69b8bab835' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06d33d0d-9573-48f0-88dc-65adeb408770' class='xr-var-data-in' type='checkbox'><label for='data-06d33d0d-9573-48f0-88dc-65adeb408770' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of time-steps between the creation of history files</dd></dl></div><div class='xr-var-data'><pre>array(720, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nRST</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-70b36f08-6123-4465-b3d2-65c37eaf412f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70b36f08-6123-4465-b3d2-65c37eaf412f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0cdd94bf-da47-4cc5-ab26-11414dba3cac' class='xr-var-data-in' type='checkbox'><label for='data-0cdd94bf-da47-4cc5-ab26-11414dba3cac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of time-steps between restart records</dd><dt><span>cycle :</span></dt><dd>only latest two records are maintained</dd></dl></div><div class='xr-var-data'><pre>array(4320, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nSTA</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bde9a75f-31b0-484f-a567-3e9248fc6600' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bde9a75f-31b0-484f-a567-3e9248fc6600' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92416f1d-b818-48af-b947-ac04ed31c2a8' class='xr-var-data-in' type='checkbox'><label for='data-92416f1d-b818-48af-b947-ac04ed31c2a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of time-steps between stations records</dd></dl></div><div class='xr-var-data'><pre>array(72, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Falpha</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7f8863e6-3e60-4cb6-8dc9-6d226311b51e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f8863e6-3e60-4cb6-8dc9-6d226311b51e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0efba319-3f9e-4367-910d-920ef9f098c4' class='xr-var-data-in' type='checkbox'><label for='data-0efba319-3f9e-4367-910d-920ef9f098c4' title='Show/Hide data repr'><svg 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>Power-law shape barotropic filter parameter</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fbeta</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-da483b00-2cef-4a24-887a-d60e1ab8224d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da483b00-2cef-4a24-887a-d60e1ab8224d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9737ec0f-819b-4fa8-8418-27bbd77d10b2' class='xr-var-data-in' type='checkbox'><label for='data-9737ec0f-819b-4fa8-8418-27bbd77d10b2' title='Show/Hide data repr'><svg 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>Power-law shape barotropic filter parameter</dd></dl></div><div class='xr-var-data'><pre>array(4.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fgamma</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aa316efb-6034-4a9c-8ab6-c90534b22c0d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa316efb-6034-4a9c-8ab6-c90534b22c0d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed9583e6-6409-4878-9965-d6bf208c8163' class='xr-var-data-in' type='checkbox'><label for='data-ed9583e6-6409-4878-9965-d6bf208c8163' title='Show/Hide data repr'><svg 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>Power-law shape barotropic filter parameter</dd></dl></div><div class='xr-var-data'><pre>array(0.284)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nl_tnu2</span></div><div class='xr-var-dims'>(tracer)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3,), meta=np.ndarray&gt;</div><input id='attrs-fe11803f-b302-42ff-93a1-8d85dfc80ac5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe11803f-b302-42ff-93a1-8d85dfc80ac5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57db541e-a50e-45e8-82e5-2d5d1c16db55' class='xr-var-data-in' type='checkbox'><label for='data-57db541e-a50e-45e8-82e5-2d5d1c16db55' title='Show/Hide data repr'><svg 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>nonlinear model Laplacian mixing coefficient for tracers</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 24 B </td>\n",
       "                        <td> 24 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (3,) </td>\n",
       "                        <td> (3,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"93\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"43\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"43\" style=\"stroke-width:2\" />\n",
       "\n",
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       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,43.88583450710766 0.0,43.88583450710766\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"63.885835\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3</text>\n",
       "  <text x=\"140.000000\" y=\"21.942917\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,21.942917)\">1</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nl_visc2</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-676d1c8e-dcec-4421-aa00-5cc270258fb4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-676d1c8e-dcec-4421-aa00-5cc270258fb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4fe51bf-6879-4e88-849b-bbd559d472a5' class='xr-var-data-in' type='checkbox'><label for='data-e4fe51bf-6879-4e88-849b-bbd559d472a5' title='Show/Hide data repr'><svg 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>nonlinear model Laplacian mixing coefficient for momentum</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd></dl></div><div class='xr-var-data'><pre>array(10.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LuvSponge</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-126f7c70-f00c-4b21-9c86-efb5e0d46eb8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-126f7c70-f00c-4b21-9c86-efb5e0d46eb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c95b57a5-0db1-4ad9-9b7d-c39ecb58710d' class='xr-var-data-in' type='checkbox'><label for='data-c95b57a5-0db1-4ad9-9b7d-c39ecb58710d' title='Show/Hide data repr'><svg 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>horizontal viscosity sponge activation switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LtracerSponge</span></div><div class='xr-var-dims'>(tracer)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3,), meta=np.ndarray&gt;</div><input id='attrs-3b4b4274-9181-47d4-9871-0511f2c29731' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b4b4274-9181-47d4-9871-0511f2c29731' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-782fb866-c481-4e04-a948-b2806b6c0dab' class='xr-var-data-in' type='checkbox'><label for='data-782fb866-c481-4e04-a948-b2806b6c0dab' title='Show/Hide data repr'><svg 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>horizontal diffusivity sponge activation switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 12 B </td>\n",
       "                        <td> 12 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (3,) </td>\n",
       "                        <td> (3,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> int32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"93\" 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=\"43\" x2=\"120\" y2=\"43\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"43\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"43\" style=\"stroke-width:2\" />\n",
       "\n",
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       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,43.88583450710766 0.0,43.88583450710766\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
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       "  <text x=\"60.000000\" y=\"63.885835\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3</text>\n",
       "  <text x=\"140.000000\" y=\"21.942917\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,21.942917)\">1</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Akt_bak</span></div><div class='xr-var-dims'>(tracer)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3,), meta=np.ndarray&gt;</div><input id='attrs-06cf07f0-615c-4939-b9f2-1a3603c2f5a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06cf07f0-615c-4939-b9f2-1a3603c2f5a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eba117cd-71cc-4562-91bd-f114ff9c0ba1' class='xr-var-data-in' type='checkbox'><label for='data-eba117cd-71cc-4562-91bd-f114ff9c0ba1' title='Show/Hide data repr'><svg 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>background vertical mixing coefficient for tracers</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 24 B </td>\n",
       "                        <td> 24 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (3,) </td>\n",
       "                        <td> (3,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"93\" 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=\"43\" x2=\"120\" y2=\"43\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"43\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "\n",
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       "  <text x=\"60.000000\" y=\"63.885835\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3</text>\n",
       "  <text x=\"140.000000\" y=\"21.942917\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,21.942917)\">1</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Akv_bak</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1391d065-a118-4b3e-901c-24dd3a6201ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1391d065-a118-4b3e-901c-24dd3a6201ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f8daeb8-cdba-46f5-9a3f-89201d3bf9ec' class='xr-var-data-in' type='checkbox'><label for='data-6f8daeb8-cdba-46f5-9a3f-89201d3bf9ec' title='Show/Hide data repr'><svg 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>background vertical mixing coefficient for momentum</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd></dl></div><div class='xr-var-data'><pre>array(5.e-05)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Akk_bak</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-923a3f05-3d50-4c72-88dc-adf0a15eac60' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-923a3f05-3d50-4c72-88dc-adf0a15eac60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50053569-6af0-46b2-a63c-ecf2efc90bf6' class='xr-var-data-in' type='checkbox'><label for='data-50053569-6af0-46b2-a63c-ecf2efc90bf6' title='Show/Hide data repr'><svg 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>background vertical mixing coefficient for turbulent energy</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd></dl></div><div class='xr-var-data'><pre>array(5.e-06)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Akp_bak</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5d0c0041-c682-4097-a44c-377858686fbc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d0c0041-c682-4097-a44c-377858686fbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d94c8e2f-b3ca-4127-ab65-24cc0e3ac698' class='xr-var-data-in' type='checkbox'><label for='data-d94c8e2f-b3ca-4127-ab65-24cc0e3ac698' title='Show/Hide data repr'><svg 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>background vertical mixing coefficient for length scale</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd></dl></div><div class='xr-var-data'><pre>array(5.e-06)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rdrg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4bc86c5a-adc4-47ed-81cd-f3f8c0f5482c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bc86c5a-adc4-47ed-81cd-f3f8c0f5482c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3cb5e6f9-61d6-4686-b04b-f6e0cd316538' class='xr-var-data-in' type='checkbox'><label for='data-3cb5e6f9-61d6-4686-b04b-f6e0cd316538' title='Show/Hide data repr'><svg 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>linear drag coefficient</dd><dt><span>units :</span></dt><dd>meter second-1</dd></dl></div><div class='xr-var-data'><pre>array(0.0003)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rdrg2</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-03537980-7e8e-46b8-8da1-46fd9f6783f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03537980-7e8e-46b8-8da1-46fd9f6783f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2923f137-6daa-4b88-ab19-cbc93895c16a' class='xr-var-data-in' type='checkbox'><label for='data-2923f137-6daa-4b88-ab19-cbc93895c16a' title='Show/Hide data repr'><svg 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>quadratic drag coefficient</dd></dl></div><div class='xr-var-data'><pre>array(0.005)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Zob</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e66932d6-4400-4ae6-bab3-cbb982b5204e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e66932d6-4400-4ae6-bab3-cbb982b5204e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ff6e80b-f82e-4ed6-8d56-200607ad8f5f' class='xr-var-data-in' type='checkbox'><label for='data-9ff6e80b-f82e-4ed6-8d56-200607ad8f5f' title='Show/Hide data repr'><svg 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>bottom roughness</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array(0.0005)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Zos</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1c57624b-d233-4b85-8d74-003655411b8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c57624b-d233-4b85-8d74-003655411b8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0f7886e-f068-4315-b4ea-025d7ddefec0' class='xr-var-data-in' type='checkbox'><label for='data-d0f7886e-f068-4315-b4ea-025d7ddefec0' title='Show/Hide data repr'><svg 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>surface roughness</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array(0.02)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_p</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3034b15c-57f2-4a83-9ba8-7f10521a3446' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3034b15c-57f2-4a83-9ba8-7f10521a3446' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de433255-3a61-48ea-82dc-00d8318a1dda' class='xr-var-data-in' type='checkbox'><label for='data-de433255-3a61-48ea-82dc-00d8318a1dda' title='Show/Hide data repr'><svg 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>stability exponent</dd></dl></div><div class='xr-var-data'><pre>array(-1.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_m</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a82a2ce6-6080-4e58-8adb-808ad3937a6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a82a2ce6-6080-4e58-8adb-808ad3937a6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-442f7049-2df8-4d73-aad9-9e3aa02f70ec' class='xr-var-data-in' type='checkbox'><label for='data-442f7049-2df8-4d73-aad9-9e3aa02f70ec' title='Show/Hide data repr'><svg 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>turbulent kinetic energy exponent</dd></dl></div><div class='xr-var-data'><pre>array(0.5)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_n</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-312e8746-597d-4bde-970b-c349ca7568c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-312e8746-597d-4bde-970b-c349ca7568c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02ac1afc-6c6a-49ab-a0d0-6ed7729dab05' class='xr-var-data-in' type='checkbox'><label for='data-02ac1afc-6c6a-49ab-a0d0-6ed7729dab05' title='Show/Hide data repr'><svg 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>turbulent length scale exponent</dd></dl></div><div class='xr-var-data'><pre>array(-1.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_cmu0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-18574f05-a192-4c0d-af78-a947776f2af0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18574f05-a192-4c0d-af78-a947776f2af0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b567e57-18dc-4fd5-a401-377dd23245a7' class='xr-var-data-in' type='checkbox'><label for='data-7b567e57-18dc-4fd5-a401-377dd23245a7' title='Show/Hide data repr'><svg 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>stability coefficient</dd></dl></div><div class='xr-var-data'><pre>array(0.5477)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_c1</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6c2d8b77-d462-4ebd-b873-7ae1fb09e758' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c2d8b77-d462-4ebd-b873-7ae1fb09e758' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4da41688-3f3c-4a57-a5fe-7d5fab011346' class='xr-var-data-in' type='checkbox'><label for='data-4da41688-3f3c-4a57-a5fe-7d5fab011346' title='Show/Hide data repr'><svg 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>shear production coefficient</dd></dl></div><div class='xr-var-data'><pre>array(0.555)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_c2</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f8fcb352-0a3f-44bf-95b2-23c1f5293e33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f8fcb352-0a3f-44bf-95b2-23c1f5293e33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7053e1c3-7daf-4239-beb5-4903c9f7c357' class='xr-var-data-in' type='checkbox'><label for='data-7053e1c3-7daf-4239-beb5-4903c9f7c357' title='Show/Hide data repr'><svg 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>dissipation coefficient</dd></dl></div><div class='xr-var-data'><pre>array(0.833)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_c3m</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-42ba7d5b-3764-4e61-a809-6678c942fadd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42ba7d5b-3764-4e61-a809-6678c942fadd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2629d6ff-05fc-42bf-9fa2-4e39244b91f2' class='xr-var-data-in' type='checkbox'><label for='data-2629d6ff-05fc-42bf-9fa2-4e39244b91f2' title='Show/Hide data repr'><svg 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>buoyancy production coefficient (minus)</dd></dl></div><div class='xr-var-data'><pre>array(-0.6)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_c3p</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3f2541db-0a87-4f4d-8a58-d856311495d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f2541db-0a87-4f4d-8a58-d856311495d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5bb544f7-28be-40d1-badf-ca46b90129f9' class='xr-var-data-in' type='checkbox'><label for='data-5bb544f7-28be-40d1-badf-ca46b90129f9' title='Show/Hide data repr'><svg 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>buoyancy production coefficient (plus)</dd></dl></div><div class='xr-var-data'><pre>array(1.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_sigk</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0edbebc1-3c3c-406c-b2ac-0d8570cd8d08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0edbebc1-3c3c-406c-b2ac-0d8570cd8d08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-503311ff-be05-4495-b1b3-23dd19038d49' class='xr-var-data-in' type='checkbox'><label for='data-503311ff-be05-4495-b1b3-23dd19038d49' title='Show/Hide data repr'><svg 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>constant Schmidt number for TKE</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_sigp</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7da61a55-de81-4054-8c1a-02e8d0ccb76b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7da61a55-de81-4054-8c1a-02e8d0ccb76b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a3ad71c-3bd6-4027-9b27-c9496d5ad1ca' class='xr-var-data-in' type='checkbox'><label for='data-4a3ad71c-3bd6-4027-9b27-c9496d5ad1ca' title='Show/Hide data repr'><svg 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>constant Schmidt number for PSI</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_Kmin</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f1098372-a30d-4174-a432-739e13e6e815' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1098372-a30d-4174-a432-739e13e6e815' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-856277bc-16e7-41fb-9385-ecf37eceb1f3' class='xr-var-data-in' type='checkbox'><label for='data-856277bc-16e7-41fb-9385-ecf37eceb1f3' title='Show/Hide data repr'><svg 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>minimum value of specific turbulent kinetic energy</dd></dl></div><div class='xr-var-data'><pre>array(1.e-10)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_Pmin</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c77e69fa-b154-4e81-8f7d-2af3bf6a7ce4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c77e69fa-b154-4e81-8f7d-2af3bf6a7ce4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-222ff8e7-fee6-4013-b773-e71be81cf303' class='xr-var-data-in' type='checkbox'><label for='data-222ff8e7-fee6-4013-b773-e71be81cf303' title='Show/Hide data repr'><svg 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>minimum Value of dissipation</dd></dl></div><div class='xr-var-data'><pre>array(1.e-12)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Charnok_alpha</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5f5021a8-11c0-4d7d-89c2-f85a9d5ddb7d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f5021a8-11c0-4d7d-89c2-f85a9d5ddb7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f47a8365-e31a-4eea-9585-44182bc7331a' class='xr-var-data-in' type='checkbox'><label for='data-f47a8365-e31a-4eea-9585-44182bc7331a' title='Show/Hide data repr'><svg 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>Charnok factor for surface roughness</dd></dl></div><div class='xr-var-data'><pre>array(1400.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Zos_hsig_alpha</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8260ab3b-dcf1-4955-a8f1-1a01c661c785' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8260ab3b-dcf1-4955-a8f1-1a01c661c785' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc2eee19-2f80-4158-bbd1-2240e3d489bb' class='xr-var-data-in' type='checkbox'><label for='data-bc2eee19-2f80-4158-bbd1-2240e3d489bb' title='Show/Hide data repr'><svg 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>wave amplitude factor for surface roughness</dd></dl></div><div class='xr-var-data'><pre>array(0.5)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sz_alpha</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-31944213-7c91-496c-8df0-ffabd885fd7d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31944213-7c91-496c-8df0-ffabd885fd7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-916306ea-a483-4773-9547-4c7818e327ae' class='xr-var-data-in' type='checkbox'><label for='data-916306ea-a483-4773-9547-4c7818e327ae' title='Show/Hide data repr'><svg 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>surface flux from wave dissipation</dd></dl></div><div class='xr-var-data'><pre>array(0.25)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CrgBan_cw</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4faa5a2e-0659-4b70-9bf4-acfccd6b3d6c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4faa5a2e-0659-4b70-9bf4-acfccd6b3d6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86ad0038-772e-44c5-a55d-0b844c8c5d38' class='xr-var-data-in' type='checkbox'><label for='data-86ad0038-772e-44c5-a55d-0b844c8c5d38' title='Show/Hide data repr'><svg 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>surface flux due to Craig and Banner wave breaking</dd></dl></div><div class='xr-var-data'><pre>array(100.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Znudg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9705f88e-31e1-4f1e-94ac-dc2e546233a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9705f88e-31e1-4f1e-94ac-dc2e546233a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-628ad90b-0200-4d16-935d-c5b0f7ed73a9' class='xr-var-data-in' type='checkbox'><label for='data-628ad90b-0200-4d16-935d-c5b0f7ed73a9' title='Show/Hide data repr'><svg 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>free-surface nudging/relaxation inverse time scale</dd><dt><span>units :</span></dt><dd>day-1</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>M2nudg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-025e2bc0-bf41-4ee1-b16f-e873fc6dbd0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-025e2bc0-bf41-4ee1-b16f-e873fc6dbd0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bdbbcc11-ffd5-4841-bdf1-8b69aa1d614f' class='xr-var-data-in' type='checkbox'><label for='data-bdbbcc11-ffd5-4841-bdf1-8b69aa1d614f' title='Show/Hide data repr'><svg 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>2D momentum nudging/relaxation inverse time scale</dd><dt><span>units :</span></dt><dd>day-1</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>M3nudg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-060d2b46-b45b-42a8-bb0a-6faf7644bd3c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-060d2b46-b45b-42a8-bb0a-6faf7644bd3c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2fab4ae9-683a-4b57-ba4a-7890cf1c6e70' class='xr-var-data-in' type='checkbox'><label for='data-2fab4ae9-683a-4b57-ba4a-7890cf1c6e70' title='Show/Hide data repr'><svg 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>3D momentum nudging/relaxation inverse time scale</dd><dt><span>units :</span></dt><dd>day-1</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tnudg</span></div><div class='xr-var-dims'>(tracer)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3,), meta=np.ndarray&gt;</div><input id='attrs-07affe35-6f71-4cdd-989f-5b6ba6524bf6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07affe35-6f71-4cdd-989f-5b6ba6524bf6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0daacb51-84f4-434b-99fa-4c5b2208cb8e' class='xr-var-data-in' type='checkbox'><label for='data-0daacb51-84f4-434b-99fa-4c5b2208cb8e' title='Show/Hide data repr'><svg 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>Tracers nudging/relaxation inverse time scale</dd><dt><span>units :</span></dt><dd>day-1</dd></dl></div><div class='xr-var-data'><table>\n",
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       "    <tr>\n",
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       "            <table>\n",
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       "                    <tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rho0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5089ab73-25c5-4d52-9593-157add9a18d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5089ab73-25c5-4d52-9593-157add9a18d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2279ab8e-7ad7-4c94-bf43-e1dad054362b' class='xr-var-data-in' type='checkbox'><label for='data-2279ab8e-7ad7-4c94-bf43-e1dad054362b' title='Show/Hide data repr'><svg 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>mean density used in Boussinesq approximation</dd><dt><span>units :</span></dt><dd>kilogram meter-3</dd></dl></div><div class='xr-var-data'><pre>array(1025.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gamma2</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-432f0cbf-f5fd-4f78-964a-67106ce0c1c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-432f0cbf-f5fd-4f78-964a-67106ce0c1c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1cc7b5b0-fe5f-4cb3-aeb6-59eda40686c2' class='xr-var-data-in' type='checkbox'><label for='data-1cc7b5b0-fe5f-4cb3-aeb6-59eda40686c2' title='Show/Hide data repr'><svg 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>slipperiness parameter</dd></dl></div><div class='xr-var-data'><pre>array(1.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LuvSrc</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0d529868-e693-4bdb-9c88-890c39269896' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d529868-e693-4bdb-9c88-890c39269896' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c4124be-b21a-4394-8314-b7f085376185' class='xr-var-data-in' type='checkbox'><label for='data-1c4124be-b21a-4394-8314-b7f085376185' title='Show/Hide data repr'><svg 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>momentum point sources and sink activation switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>array(1, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LwSrc</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1d69213e-c1fc-4512-900a-8bd3edb9d495' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d69213e-c1fc-4512-900a-8bd3edb9d495' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd7966cf-c4fc-44df-b54e-3a1c08c04f51' class='xr-var-data-in' type='checkbox'><label for='data-fd7966cf-c4fc-44df-b54e-3a1c08c04f51' title='Show/Hide data repr'><svg 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>mass point sources and sink activation switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LtracerSrc</span></div><div class='xr-var-dims'>(tracer)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3,), meta=np.ndarray&gt;</div><input id='attrs-6fcc579e-4e4a-4a25-b47f-93ce6636dc4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6fcc579e-4e4a-4a25-b47f-93ce6636dc4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba5f6244-d028-430f-9da0-ace9fdcda079' class='xr-var-data-in' type='checkbox'><label for='data-ba5f6244-d028-430f-9da0-ace9fdcda079' title='Show/Hide data repr'><svg 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>tracer point sources and sink activation switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 12 B </td>\n",
       "                        <td> 12 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (3,) </td>\n",
       "                        <td> (3,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> int32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"93\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
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       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"43\" style=\"stroke-width:2\" />\n",
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       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"63.885835\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3</text>\n",
       "  <text x=\"140.000000\" y=\"21.942917\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,21.942917)\">1</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LsshCLM</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-50aceb81-0ccd-4452-9ac3-0c557638ea9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50aceb81-0ccd-4452-9ac3-0c557638ea9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b076e3d-c0a8-44f2-9759-43a76a811c54' class='xr-var-data-in' type='checkbox'><label for='data-9b076e3d-c0a8-44f2-9759-43a76a811c54' title='Show/Hide data repr'><svg 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 surface height climatology processing switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Lm2CLM</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-092df3db-7c40-4071-9b15-ad814c474f50' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-092df3db-7c40-4071-9b15-ad814c474f50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bc8e6ff-5a2a-4550-9018-4aa3107a7e02' class='xr-var-data-in' type='checkbox'><label for='data-2bc8e6ff-5a2a-4550-9018-4aa3107a7e02' title='Show/Hide data repr'><svg 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>2D momentum climatology processing switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Lm3CLM</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6ea4682b-a9b5-4e3b-8439-2a928f017d89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ea4682b-a9b5-4e3b-8439-2a928f017d89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d8161db-f7e4-44f4-9334-2504c3d0a590' class='xr-var-data-in' type='checkbox'><label for='data-8d8161db-f7e4-44f4-9334-2504c3d0a590' title='Show/Hide data repr'><svg 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>3D momentum climatology processing switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LtracerCLM</span></div><div class='xr-var-dims'>(tracer)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3,), meta=np.ndarray&gt;</div><input id='attrs-0895ec42-912a-40cb-b196-ec1f1147f210' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0895ec42-912a-40cb-b196-ec1f1147f210' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b00b4fd-b5b1-413b-8ad1-538c7b3af68e' class='xr-var-data-in' type='checkbox'><label for='data-6b00b4fd-b5b1-413b-8ad1-538c7b3af68e' title='Show/Hide data repr'><svg 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>tracer climatology processing switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 12 B </td>\n",
       "                        <td> 12 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (3,) </td>\n",
       "                        <td> (3,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> int32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"93\" 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=\"43\" x2=\"120\" y2=\"43\" style=\"stroke-width:2\" />\n",
       "\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"43\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "\n",
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       "  <text x=\"60.000000\" y=\"63.885835\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3</text>\n",
       "  <text x=\"140.000000\" y=\"21.942917\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,21.942917)\">1</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LnudgeM2CLM</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5ac666bb-7ae8-46b4-b7dc-38c95d142dcd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ac666bb-7ae8-46b4-b7dc-38c95d142dcd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1051c827-33a3-4da4-a048-00839e142c4b' class='xr-var-data-in' type='checkbox'><label for='data-1051c827-33a3-4da4-a048-00839e142c4b' title='Show/Hide data repr'><svg 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>2D momentum climatology nudging activation switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LnudgeM3CLM</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-211e8230-f045-47f8-b003-3414b01eedd7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-211e8230-f045-47f8-b003-3414b01eedd7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a324c483-c17c-48b9-9d8c-ad13123d3c90' class='xr-var-data-in' type='checkbox'><label for='data-a324c483-c17c-48b9-9d8c-ad13123d3c90' title='Show/Hide data repr'><svg 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>3D momentum climatology nudging activation switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LnudgeTCLM</span></div><div class='xr-var-dims'>(tracer)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3,), meta=np.ndarray&gt;</div><input id='attrs-c3def1c3-039b-42bf-a80f-e49ca8a6a972' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3def1c3-039b-42bf-a80f-e49ca8a6a972' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2358560a-a68c-46fd-b5a3-0078282fabf8' class='xr-var-data-in' type='checkbox'><label for='data-2358560a-a68c-46fd-b5a3-0078282fabf8' title='Show/Hide data repr'><svg 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>tracer climatology nudging activation switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 12 B </td>\n",
       "                        <td> 12 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (3,) </td>\n",
       "                        <td> (3,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> int32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"93\" 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>BioIter</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-94cd00cc-479e-4870-a089-726a7f482524' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94cd00cc-479e-4870-a089-726a7f482524' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92aff358-0c4b-4422-a429-3538949d49c1' class='xr-var-data-in' type='checkbox'><label for='data-92aff358-0c4b-4422-a429-3538949d49c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of iterations to achieve convergence</dd></dl></div><div class='xr-var-data'><pre>array(1, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ResRate</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6aae8eeb-bb60-443c-af7b-322e11cb87ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6aae8eeb-bb60-443c-af7b-322e11cb87ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d9a4f31-27ca-4727-89f2-3c176ffdcc24' class='xr-var-data-in' type='checkbox'><label for='data-4d9a4f31-27ca-4727-89f2-3c176ffdcc24' title='Show/Hide data repr'><svg 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>total biological respiration rate</dd><dt><span>units :</span></dt><dd>day-1</dd></dl></div><div class='xr-var-data'><pre>array(0.00011)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spherical</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5fa7b33e-841e-434c-a3b9-e68a2ad71e85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5fa7b33e-841e-434c-a3b9-e68a2ad71e85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e551f2c6-64c8-4c2e-8974-485a655b0312' class='xr-var-data-in' type='checkbox'><label for='data-e551f2c6-64c8-4c2e-8974-485a655b0312' title='Show/Hide data repr'><svg 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>grid type logical switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>Cartesian spherical</dd></dl></div><div class='xr-var-data'><pre>array(1, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xl</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3c9f42c4-1b25-446f-ac92-9130d6acae1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c9f42c4-1b25-446f-ac92-9130d6acae1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-068a9eef-122f-4d9c-abb0-c1fe2fa0eb94' class='xr-var-data-in' type='checkbox'><label for='data-068a9eef-122f-4d9c-abb0-c1fe2fa0eb94' title='Show/Hide data repr'><svg 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>domain length in the XI-direction</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array(6.943582)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>el</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c554fa11-33ba-405a-ab23-bab76b1aff19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c554fa11-33ba-405a-ab23-bab76b1aff19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e90e1768-b8c7-490c-a6f5-df639c58a5a9' class='xr-var-data-in' type='checkbox'><label for='data-e90e1768-b8c7-490c-a6f5-df639c58a5a9' title='Show/Hide data repr'><svg 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>domain length in the ETA-direction</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array(3.42146)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Vtransform</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9fc7292d-0e2f-4c95-90c1-1f4be48f5e37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9fc7292d-0e2f-4c95-90c1-1f4be48f5e37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5d5e40f-582f-4e2d-9f7b-cb5313d59d75' class='xr-var-data-in' type='checkbox'><label for='data-a5d5e40f-582f-4e2d-9f7b-cb5313d59d75' title='Show/Hide data repr'><svg 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>vertical terrain-following transformation equation</dd></dl></div><div class='xr-var-data'><pre>array(1, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Vstretching</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b97574a3-59d2-4002-822e-298467bd0976' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b97574a3-59d2-4002-822e-298467bd0976' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4809b018-5747-46aa-b6e5-523b56be14c0' class='xr-var-data-in' type='checkbox'><label for='data-4809b018-5747-46aa-b6e5-523b56be14c0' title='Show/Hide data repr'><svg 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>vertical terrain-following stretching function</dd></dl></div><div class='xr-var-data'><pre>array(1, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>theta_s</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eeaed13e-ea36-44bd-b681-08a5171eb547' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eeaed13e-ea36-44bd-b681-08a5171eb547' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-408a12e7-0bda-4fcd-aa86-efbb8b822fde' class='xr-var-data-in' type='checkbox'><label for='data-408a12e7-0bda-4fcd-aa86-efbb8b822fde' title='Show/Hide data repr'><svg 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>S-coordinate surface control parameter</dd></dl></div><div class='xr-var-data'><pre>array(4.5)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>theta_b</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c0890fd6-c0d0-4a03-a427-ab35901404b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0890fd6-c0d0-4a03-a427-ab35901404b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f71acd1-0ef2-4ce9-a5d7-d572f281236d' class='xr-var-data-in' type='checkbox'><label for='data-4f71acd1-0ef2-4ce9-a5d7-d572f281236d' title='Show/Hide data repr'><svg 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>S-coordinate bottom control parameter</dd></dl></div><div class='xr-var-data'><pre>array(0.95)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tcline</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b8a85331-0110-45cd-9586-934c528079b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8a85331-0110-45cd-9586-934c528079b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e992e8e-1eca-4309-b057-c99227c9e1cb' class='xr-var-data-in' type='checkbox'><label for='data-4e992e8e-1eca-4309-b057-c99227c9e1cb' title='Show/Hide data repr'><svg 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>S-coordinate surface/bottom layer width</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array(10.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hc</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-463532df-c1d7-4970-9103-ff11805436bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-463532df-c1d7-4970-9103-ff11805436bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69e62a07-f186-41a7-8c0b-d75e0510c0fa' class='xr-var-data-in' type='checkbox'><label for='data-69e62a07-f186-41a7-8c0b-d75e0510c0fa' title='Show/Hide data repr'><svg 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>S-coordinate parameter, critical depth</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>grid</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5e24dac6-d30f-49de-aa86-c7f4044ca0eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e24dac6-d30f-49de-aa86-c7f4044ca0eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7719b1f4-0630-4bdd-b73b-4ee8e5da9925' class='xr-var-data-in' type='checkbox'><label for='data-7719b1f4-0630-4bdd-b73b-4ee8e5da9925' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cf_role :</span></dt><dd>grid_topology</dd><dt><span>topology_dimension :</span></dt><dd>2</dd><dt><span>node_dimensions :</span></dt><dd>xi_psi eta_psi</dd><dt><span>face_dimensions :</span></dt><dd>xi_rho: xi_psi (padding: both) eta_rho: eta_psi (padding: both)</dd><dt><span>edge1_dimensions :</span></dt><dd>xi_u: xi_psi eta_u: eta_psi (padding: both)</dd><dt><span>edge2_dimensions :</span></dt><dd>xi_v: xi_psi (padding: both) eta_v: eta_psi</dd><dt><span>node_coordinates :</span></dt><dd>lon_psi lat_psi</dd><dt><span>face_coordinates :</span></dt><dd>lon_rho lat_rho</dd><dt><span>edge1_coordinates :</span></dt><dd>lon_u lat_u</dd><dt><span>edge2_coordinates :</span></dt><dd>lon_v lat_v</dd><dt><span>vertical_dimensions :</span></dt><dd>s_rho: s_w (padding: none)</dd></dl></div><div class='xr-var-data'><pre>array(1, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Cs_r</span></div><div class='xr-var-dims'>(s_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(20,), meta=np.ndarray&gt;</div><input id='attrs-6604adb6-3a87-4429-a897-e391de49f26a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6604adb6-3a87-4429-a897-e391de49f26a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1eb4cc9-964c-47b0-ba23-9cc7ccc14cf2' class='xr-var-data-in' type='checkbox'><label for='data-b1eb4cc9-964c-47b0-ba23-9cc7ccc14cf2' title='Show/Hide data repr'><svg 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>S-coordinate stretching curves at RHO-points</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>field :</span></dt><dd>Cs_r, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 160 B </td>\n",
       "                        <td> 160 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (20,) </td>\n",
       "                        <td> (20,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"84\" 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>Cs_w</span></div><div class='xr-var-dims'>(s_w)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(21,), meta=np.ndarray&gt;</div><input id='attrs-92d9e2b3-34e8-4f20-ae02-84bb8461acea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92d9e2b3-34e8-4f20-ae02-84bb8461acea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83bb208d-95f1-40ee-b187-5950ad35f9d0' class='xr-var-data-in' type='checkbox'><label for='data-83bb208d-95f1-40ee-b187-5950ad35f9d0' title='Show/Hide data repr'><svg 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>S-coordinate stretching curves at W-points</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>field :</span></dt><dd>Cs_w, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 168 B </td>\n",
       "                        <td> 168 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (21,) </td>\n",
       "                        <td> (21,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"84\" 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>h</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(124, 151), meta=np.ndarray&gt;</div><input id='attrs-2f2c7df9-496f-425c-b7c4-ecdba6d6ed14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f2c7df9-496f-425c-b7c4-ecdba6d6ed14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c03f37a-6154-4952-97a1-3b0ae89cd47d' class='xr-var-data-in' type='checkbox'><label for='data-0c03f37a-6154-4952-97a1-3b0ae89cd47d' title='Show/Hide data repr'><svg 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>bathymetry at RHO-points</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>bath, scalar</dd><dt><span>standard_name :</span></dt><dd>sea_floor_depth</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 146.28 kiB </td>\n",
       "                        <td> 146.28 kiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (124, 151) </td>\n",
       "                        <td> (124, 151) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 7 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>f</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(124, 151), meta=np.ndarray&gt;</div><input id='attrs-cf9fbafc-70b1-4a17-abdb-a3928453fbe1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf9fbafc-70b1-4a17-abdb-a3928453fbe1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bec9a2fb-ed70-48b8-a6f2-320dbc6630b6' class='xr-var-data-in' type='checkbox'><label for='data-bec9a2fb-ed70-48b8-a6f2-320dbc6630b6' title='Show/Hide data repr'><svg 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 RHO-points</dd><dt><span>units :</span></dt><dd>second-1</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>coriolis, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
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       "                    <tr>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 146.28 kiB </td>\n",
       "                        <td> 146.28 kiB </td>\n",
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       "                        <td> (124, 151) </td>\n",
       "                        <td> (124, 151) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 7 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pm</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(124, 151), meta=np.ndarray&gt;</div><input id='attrs-36369802-7761-4728-8ca1-e26c08d21de6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36369802-7761-4728-8ca1-e26c08d21de6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21e4e602-ec70-460b-afaf-3310de686d92' class='xr-var-data-in' type='checkbox'><label for='data-21e4e602-ec70-460b-afaf-3310de686d92' title='Show/Hide data repr'><svg 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>curvilinear coordinate metric in XI</dd><dt><span>units :</span></dt><dd>meter-1</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>pm, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 146.28 kiB </td>\n",
       "                        <td> 146.28 kiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (124, 151) </td>\n",
       "                        <td> (124, 151) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 7 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "            </table>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pn</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(124, 151), meta=np.ndarray&gt;</div><input id='attrs-afb8f201-edae-48f4-9ce0-64274c32948a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-afb8f201-edae-48f4-9ce0-64274c32948a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a00f226f-32ed-45e3-8ae4-bbb291648231' class='xr-var-data-in' type='checkbox'><label for='data-a00f226f-32ed-45e3-8ae4-bbb291648231' title='Show/Hide data repr'><svg 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>curvilinear coordinate metric in ETA</dd><dt><span>units :</span></dt><dd>meter-1</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>pn, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 146.28 kiB </td>\n",
       "                        <td> 146.28 kiB </td>\n",
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       "                        <td> (124, 151) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 7 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
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       "            </table>\n",
       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(124, 151), meta=np.ndarray&gt;</div><input id='attrs-bca34f43-24ae-432f-a5f7-3a5e249dd796' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bca34f43-24ae-432f-a5f7-3a5e249dd796' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8ded9f8-a989-4a6d-93c0-8131400e651a' class='xr-var-data-in' type='checkbox'><label for='data-f8ded9f8-a989-4a6d-93c0-8131400e651a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>angle between XI-axis and EAST</dd><dt><span>units :</span></dt><dd>radians</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>angle, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "                        <td> (124, 151) </td>\n",
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       "                        <th> Count </th>\n",
       "                        <td> 7 Tasks </td>\n",
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       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask_rho</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(124, 151), meta=np.ndarray&gt;</div><input id='attrs-763da4f2-2666-4bc3-a253-031f0a12e93a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-763da4f2-2666-4bc3-a253-031f0a12e93a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e041185b-1ce4-480b-bfcf-69f081a48a2e' class='xr-var-data-in' type='checkbox'><label for='data-e041185b-1ce4-480b-bfcf-69f081a48a2e' title='Show/Hide data repr'><svg 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>mask on RHO-points</dd><dt><span>flag_values :</span></dt><dd>[0. 1.]</dd><dt><span>flag_meanings :</span></dt><dd>land water</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                        <td> 146.28 kiB </td>\n",
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       "                        <td> (124, 151) </td>\n",
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       "                    <tr>\n",
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       "                        <td> 7 Tasks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask_u</span></div><div class='xr-var-dims'>(eta_u, xi_u)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(124, 150), meta=np.ndarray&gt;</div><input id='attrs-35464ca1-b8f0-46f2-a497-9be65bdbecff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35464ca1-b8f0-46f2-a497-9be65bdbecff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efecfc57-9ce7-4a3c-8aa8-8335e899e145' class='xr-var-data-in' type='checkbox'><label for='data-efecfc57-9ce7-4a3c-8aa8-8335e899e145' title='Show/Hide data repr'><svg 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>mask on U-points</dd><dt><span>flag_values :</span></dt><dd>[0. 1.]</dd><dt><span>flag_meanings :</span></dt><dd>land water</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge1</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
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       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 145.31 kiB </td>\n",
       "                        <td> 145.31 kiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (124, 150) </td>\n",
       "                        <td> (124, 150) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 7 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask_v</span></div><div class='xr-var-dims'>(eta_v, xi_v)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(123, 149), meta=np.ndarray&gt;</div><input id='attrs-a12ba254-6c3f-4844-8c16-35528f8e4778' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a12ba254-6c3f-4844-8c16-35528f8e4778' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf3e6975-27ff-4e1c-ad83-dfd68bffe3fa' class='xr-var-data-in' type='checkbox'><label for='data-bf3e6975-27ff-4e1c-ad83-dfd68bffe3fa' title='Show/Hide data repr'><svg 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>mask on V-points</dd><dt><span>flag_values :</span></dt><dd>[0. 1.]</dd><dt><span>flag_meanings :</span></dt><dd>land water</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
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       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 143.18 kiB </td>\n",
       "                        <td> 143.18 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (123, 149) </td>\n",
       "                        <td> (123, 149) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 7 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask_psi</span></div><div class='xr-var-dims'>(eta_psi, xi_psi)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(123, 149), meta=np.ndarray&gt;</div><input id='attrs-e4d124c3-7116-4f7d-8356-3d5af1221e5a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4d124c3-7116-4f7d-8356-3d5af1221e5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9905ed6-0d4b-43ed-93b9-c4a09f500a52' class='xr-var-data-in' type='checkbox'><label for='data-a9905ed6-0d4b-43ed-93b9-c4a09f500a52' title='Show/Hide data repr'><svg 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>mask on psi-points</dd><dt><span>flag_values :</span></dt><dd>[0. 1.]</dd><dt><span>flag_meanings :</span></dt><dd>land water</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>node</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 143.18 kiB </td>\n",
       "                        <td> 143.18 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (123, 149) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 7 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zeta</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 124, 151), meta=np.ndarray&gt;</div><input id='attrs-d2bcfede-caab-4f3f-a48e-a1b554334e95' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2bcfede-caab-4f3f-a48e-a1b554334e95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b970350-991a-4149-8842-96b6743e8696' class='xr-var-data-in' type='checkbox'><label for='data-3b970350-991a-4149-8842-96b6743e8696' title='Show/Hide data repr'><svg 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>free-surface</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>free-surface, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 291 332]</dd><dt><span>standard_name :</span></dt><dd>sea_surface_elevation</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 1.71 MiB </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>oxygen</span></div><div class='xr-var-dims'>(ocean_time, s_rho, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 20, 124, 151), meta=np.ndarray&gt;</div><input id='attrs-ac5b6d84-81a1-48dc-9285-79cac66b2ca6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac5b6d84-81a1-48dc-9285-79cac66b2ca6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60a5fd64-51c8-4bf3-8e5f-c88b0744752b' class='xr-var-data-in' type='checkbox'><label for='data-60a5fd64-51c8-4bf3-8e5f-c88b0744752b' title='Show/Hide data repr'><svg 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>dissolved oxygen concentration</dd><dt><span>units :</span></dt><dd>millimole_oxygen meter-3</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>Oxygen, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1  10 146 166]</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>Uwind</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 124, 151), meta=np.ndarray&gt;</div><input id='attrs-01995955-0aba-4615-8c44-9a78dd3d74cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01995955-0aba-4615-8c44-9a78dd3d74cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-550af7bc-177b-4a1d-9ec9-4acef09e7520' class='xr-var-data-in' type='checkbox'><label for='data-550af7bc-177b-4a1d-9ec9-4acef09e7520' title='Show/Hide data repr'><svg 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>surface u-wind component</dd><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>u-wind, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 291 332]</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</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>Vwind</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 124, 151), meta=np.ndarray&gt;</div><input id='attrs-bc1c4898-062f-4bc3-bc63-64022f432610' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc1c4898-062f-4bc3-bc63-64022f432610' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bb296f0-98a8-4e90-8657-3e31e3cb6300' class='xr-var-data-in' type='checkbox'><label for='data-8bb296f0-98a8-4e90-8657-3e31e3cb6300' title='Show/Hide data repr'><svg 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>surface v-wind component</dd><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>v-wind, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 291 332]</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd></dl></div><div class='xr-var-data'><table>\n",
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       "ADVECTION:   HORIZONTAL   VERTICAL     \n",
       "temp:        HSIMT        HSIMT        \n",
       "salt:        HSIMT        HSIMT        \n",
       "oxygen:      HSIMT        HSIMT</dd><dt><span>NLM_LBC :</span></dt><dd>\n",
       "EDGE:    WEST   SOUTH  EAST   NORTH  \n",
       "zeta:    Clo    Cha    Cha    Clo    \n",
       "ubar:    Clo    Fla    Fla    Clo    \n",
       "vbar:    Clo    Fla    Fla    Clo    \n",
       "u:       Clo    Rad    Rad    Clo    \n",
       "v:       Clo    Rad    Rad    Clo    \n",
       "temp:    Clo    RadNud RadNud Clo    \n",
       "salt:    Clo    RadNud RadNud Clo    \n",
       "oxygen:  Clo    RadNud RadNud Clo    \n",
       "tke:     Clo    Gra    Gra    Clo</dd><dt><span>svn_url :</span></dt><dd></dd><dt><span>svn_rev :</span></dt><dd></dd><dt><span>code_dir :</span></dt><dd>/lfs/h1/ops/prod/packages/nosofs.v3.4.2/sorc/ROMS.fd</dd><dt><span>header_dir :</span></dt><dd>/lfs/h1/ops/prod/packages/nosofs.v3.4.2/sorc/ROMS.fd/ROMS/Include</dd><dt><span>header_file :</span></dt><dd>cbofs.h</dd><dt><span>os :</span></dt><dd>Linux</dd><dt><span>cpu :</span></dt><dd>x86_64</dd><dt><span>compiler_system :</span></dt><dd>ftn-intel</dd><dt><span>compiler_command :</span></dt><dd>/opt/cray/pe/craype/2.7.10/bin/ftn</dd><dt><span>compiler_flags :</span></dt><dd>-fp-model precise -ip -O2</dd><dt><span>tiling :</span></dt><dd>008x016</dd><dt><span>history :</span></dt><dd>ROMS/TOMS, Version 3.9, Thursday - August 25, 2022 - 12:48:02 PM</dd><dt><span>ana_file :</span></dt><dd>ROMS/Functionals/ana_btflux.h, ROMS/Functionals/ana_rain.h, ROMS/Functionals/ana_stflux.h</dd><dt><span>CPP_options :</span></dt><dd>mode, ADD_FSOBC, ADD_M2OBC, ANA_BPFLUX, ANA_BSFLUX, ANA_BTFLUX, ANA_RAIN, ANA_SPFLUX, ANA_SSFLUX, ASSUMED_SHAPE, ATM_PRESS, !BOUNDARY_ALLGATHER, BULK_FLUXES, !COLLECT_ALL..., CURVGRID, DIFF_GRID, DJ_GRADPS, DOUBLE_PRECISION, EMINUSP, GLS_MIXING, HDF5, HYPOXIA_SRM, LIMIT_STFLX_COOLING, KANTHA_CLAYSON, LONGWAVE_OUT, MASKING, MIX_GEO_TS, MIX_S_UV, MPI, NONLINEAR, NONLIN_EOS, NO_LBC_ATT, N2S2_HORAVG, PERFECT_RESTART, POWER_LAW, PROFILE, K_GSCHEME, RADIATION_2D, REDUCE_ALLREDUCE, !RST_SINGLE, SALINITY, SOLAR_SOURCE, SOLVE3D, SSH_TIDES, STATIONS, SURFACE_DO_SATURATION, TS_DIF2, UV_ADV, UV_COR, UV_U3HADVECTION, UV_C4VADVECTION, UV_QDRAG, UV_TIDES, UV_VIS2, VAR_RHO_2D, VISC_GRID</dd><dt><span>bio_file :</span></dt><dd>ROMS/Nonlinear/Biology/hypoxia_srm.h</dd><dt><span>DODS_EXTRA.Unlimited_Dimension :</span></dt><dd>ocean_time</dd><dt><span>EXTRA_DIMENSION.N :</span></dt><dd>20</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:         (tracer: 3, boundary: 4, s_rho: 20, s_w: 21, eta_rho: 124,\n",
       "                     xi_rho: 151, eta_u: 124, xi_u: 150, eta_v: 123, xi_v: 149,\n",
       "                     eta_psi: 123, xi_psi: 149, ocean_time: 24)\n",
       "Coordinates: (12/19)\n",
       "  * s_rho           (s_rho) float64 -0.975 -0.925 -0.875 ... -0.075 -0.025\n",
       "  * s_w             (s_w) float64 -1.0 -0.95 -0.9 -0.85 ... -0.15 -0.1 -0.05 0.0\n",
       "    lon_rho         (eta_rho, xi_rho) float64 dask.array<chunksize=(124, 151), meta=np.ndarray>\n",
       "    lat_rho         (eta_rho, xi_rho) float64 dask.array<chunksize=(124, 151), meta=np.ndarray>\n",
       "  * xi_rho          (xi_rho) int64 181 182 183 184 185 ... 327 328 329 330 331\n",
       "  * eta_rho         (eta_rho) int64 3 4 5 6 7 8 9 ... 121 122 123 124 125 126\n",
       "    ...              ...\n",
       "  * eta_v           (eta_v) int64 3 4 5 6 7 8 9 ... 119 120 121 122 123 124 125\n",
       "    lon_psi         (eta_psi, xi_psi) float64 dask.array<chunksize=(123, 149), meta=np.ndarray>\n",
       "    lat_psi         (eta_psi, xi_psi) float64 dask.array<chunksize=(123, 149), meta=np.ndarray>\n",
       "  * xi_psi          (xi_psi) int64 182 183 184 185 186 ... 326 327 328 329 330\n",
       "  * eta_psi         (eta_psi) int64 3 4 5 6 7 8 9 ... 120 121 122 123 124 125\n",
       "  * ocean_time      (ocean_time) datetime64[ns] 2022-08-25T11:00:00 ... 2022-...\n",
       "Dimensions without coordinates: tracer, boundary\n",
       "Data variables: (12/97)\n",
       "    ntimes          int32 ...\n",
       "    ndtfast         int32 ...\n",
       "    dt              float64 ...\n",
       "    dtfast          float64 ...\n",
       "    dstart          datetime64[ns] ...\n",
       "    nHIS            int32 ...\n",
       "    ...              ...\n",
       "    temp            (ocean_time, s_rho, eta_rho, xi_rho) float32 dask.array<chunksize=(1, 20, 124, 151), meta=np.ndarray>\n",
       "    salt            (ocean_time, s_rho, eta_rho, xi_rho) float32 dask.array<chunksize=(1, 20, 124, 151), meta=np.ndarray>\n",
       "    oxygen          (ocean_time, s_rho, eta_rho, xi_rho) float32 dask.array<chunksize=(1, 20, 124, 151), meta=np.ndarray>\n",
       "    Pair            (ocean_time, eta_rho, xi_rho) float32 dask.array<chunksize=(1, 124, 151), meta=np.ndarray>\n",
       "    Uwind           (ocean_time, eta_rho, xi_rho) float32 dask.array<chunksize=(1, 124, 151), meta=np.ndarray>\n",
       "    Vwind           (ocean_time, eta_rho, xi_rho) float32 dask.array<chunksize=(1, 124, 151), meta=np.ndarray>\n",
       "Attributes: (12/37)\n",
       "    file:                            nos.cbofs.fields.nowcast.20220825.t12z_0...\n",
       "    format:                          netCDF-4/HDF5 file\n",
       "    Conventions:                     CF-1.4, SGRID-0.3\n",
       "    type:                            ROMS/TOMS history file\n",
       "    title:                           cbofs nowcast RUN in operational mode\n",
       "    var_info:                        varinfo.dat\n",
       "    ...                              ...\n",
       "    history:                         ROMS/TOMS, Version 3.9, Thursday - Augus...\n",
       "    ana_file:                        ROMS/Functionals/ana_btflux.h, ROMS/Func...\n",
       "    CPP_options:                     mode, ADD_FSOBC, ADD_M2OBC, ANA_BPFLUX, ...\n",
       "    bio_file:                        ROMS/Nonlinear/Biology/hypoxia_srm.h\n",
       "    DODS_EXTRA.Unlimited_Dimension:  ocean_time\n",
       "    EXTRA_DIMENSION.N:               20"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_cbofs_ss = ds_cbofs.em.sub_bbox(bbox=bbox_cbofs)\n",
    "ds_cbofs_ss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a5670957-ae44-44df-b617-b980b9815379",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x1666313a0>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_cbofs_ss['zeta'].cf.isel(T=0).cf.plot(x='longitude', y='latitude')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b8228f4-30d2-450d-b809-90859d31d4ee",
   "metadata": {},
   "source": [
    "#### Subset Dataset to proper set of grids\n",
    "\n",
    "Return a Dataset with a full suite of horizontal grids of the proper relative sizes but narrowed to the bounding box. Because this model axes don't align with longitude and latitude, the shape of the result is different.\n",
    "\n",
    "This function won't run with a DataArray."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2eae0aac-6620-46cd-93d2-d81349b60002",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x1665fc550>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_cbofs_ss = ds_cbofs.em.sub_grid(bbox=bbox_cbofs)\n",
    "ds_cbofs_ss['zeta'].cf.isel(T=0).cf.plot(x='longitude', y='latitude')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "6a36c0e6-492b-426e-8510-3f7f701e9269",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "\n",
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       ".xr-icon-file-text2 {\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:         (tracer: 3, boundary: 4, s_rho: 20, s_w: 21, eta_rho: 124,\n",
       "                     xi_rho: 151, eta_u: 124, xi_u: 150, eta_v: 123, xi_v: 151,\n",
       "                     eta_psi: 123, xi_psi: 150, ocean_time: 24)\n",
       "Coordinates: (12/19)\n",
       "  * s_rho           (s_rho) float64 -0.975 -0.925 -0.875 ... -0.075 -0.025\n",
       "  * s_w             (s_w) float64 -1.0 -0.95 -0.9 -0.85 ... -0.15 -0.1 -0.05 0.0\n",
       "    lon_rho         (eta_rho, xi_rho) float64 dask.array&lt;chunksize=(124, 151), meta=np.ndarray&gt;\n",
       "    lat_rho         (eta_rho, xi_rho) float64 dask.array&lt;chunksize=(124, 151), meta=np.ndarray&gt;\n",
       "    lon_u           (eta_u, xi_u) float64 dask.array&lt;chunksize=(124, 150), meta=np.ndarray&gt;\n",
       "    lat_u           (eta_u, xi_u) float64 dask.array&lt;chunksize=(124, 150), meta=np.ndarray&gt;\n",
       "    ...              ...\n",
       "  * xi_v            (xi_v) int64 181 182 183 184 185 186 ... 327 328 329 330 331\n",
       "  * xi_psi          (xi_psi) int64 181 182 183 184 185 ... 326 327 328 329 330\n",
       "  * eta_rho         (eta_rho) int64 3 4 5 6 7 8 9 ... 121 122 123 124 125 126\n",
       "  * eta_u           (eta_u) int64 3 4 5 6 7 8 9 ... 120 121 122 123 124 125 126\n",
       "  * eta_v           (eta_v) int64 3 4 5 6 7 8 9 ... 119 120 121 122 123 124 125\n",
       "  * eta_psi         (eta_psi) int64 3 4 5 6 7 8 9 ... 120 121 122 123 124 125\n",
       "Dimensions without coordinates: tracer, boundary\n",
       "Data variables: (12/97)\n",
       "    ntimes          int32 ...\n",
       "    ndtfast         int32 ...\n",
       "    dt              float64 ...\n",
       "    dtfast          float64 ...\n",
       "    dstart          datetime64[ns] ...\n",
       "    nHIS            int32 ...\n",
       "    ...              ...\n",
       "    temp            (ocean_time, s_rho, eta_rho, xi_rho) float32 dask.array&lt;chunksize=(1, 20, 124, 151), meta=np.ndarray&gt;\n",
       "    salt            (ocean_time, s_rho, eta_rho, xi_rho) float32 dask.array&lt;chunksize=(1, 20, 124, 151), meta=np.ndarray&gt;\n",
       "    oxygen          (ocean_time, s_rho, eta_rho, xi_rho) float32 dask.array&lt;chunksize=(1, 20, 124, 151), meta=np.ndarray&gt;\n",
       "    Pair            (ocean_time, eta_rho, xi_rho) float32 dask.array&lt;chunksize=(1, 124, 151), meta=np.ndarray&gt;\n",
       "    Uwind           (ocean_time, eta_rho, xi_rho) float32 dask.array&lt;chunksize=(1, 124, 151), meta=np.ndarray&gt;\n",
       "    Vwind           (ocean_time, eta_rho, xi_rho) float32 dask.array&lt;chunksize=(1, 124, 151), meta=np.ndarray&gt;\n",
       "Attributes: (12/37)\n",
       "    file:                            nos.cbofs.fields.nowcast.20220825.t12z_0...\n",
       "    format:                          netCDF-4/HDF5 file\n",
       "    Conventions:                     CF-1.4, SGRID-0.3\n",
       "    type:                            ROMS/TOMS history file\n",
       "    title:                           cbofs nowcast RUN in operational mode\n",
       "    var_info:                        varinfo.dat\n",
       "    ...                              ...\n",
       "    history:                         ROMS/TOMS, Version 3.9, Thursday - Augus...\n",
       "    ana_file:                        ROMS/Functionals/ana_btflux.h, ROMS/Func...\n",
       "    CPP_options:                     mode, ADD_FSOBC, ADD_M2OBC, ANA_BPFLUX, ...\n",
       "    bio_file:                        ROMS/Nonlinear/Biology/hypoxia_srm.h\n",
       "    DODS_EXTRA.Unlimited_Dimension:  ocean_time\n",
       "    EXTRA_DIMENSION.N:               20</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a1d598e8-7fb6-4546-be53-84c47e3e7316' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a1d598e8-7fb6-4546-be53-84c47e3e7316' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>tracer</span>: 3</li><li><span>boundary</span>: 4</li><li><span class='xr-has-index'>s_rho</span>: 20</li><li><span class='xr-has-index'>s_w</span>: 21</li><li><span class='xr-has-index'>eta_rho</span>: 124</li><li><span class='xr-has-index'>xi_rho</span>: 151</li><li><span class='xr-has-index'>eta_u</span>: 124</li><li><span class='xr-has-index'>xi_u</span>: 150</li><li><span class='xr-has-index'>eta_v</span>: 123</li><li><span class='xr-has-index'>xi_v</span>: 151</li><li><span class='xr-has-index'>eta_psi</span>: 123</li><li><span class='xr-has-index'>xi_psi</span>: 150</li><li><span class='xr-has-index'>ocean_time</span>: 24</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-571c1954-4887-4de1-ac0e-d95c1ee9bd39' class='xr-section-summary-in' type='checkbox'  checked><label for='section-571c1954-4887-4de1-ac0e-d95c1ee9bd39' class='xr-section-summary' >Coordinates: <span>(19)</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'>s_rho</span></div><div class='xr-var-dims'>(s_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.975 -0.925 ... -0.075 -0.025</div><input id='attrs-4c2a7843-9880-4471-b3f7-38ca992cd2fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c2a7843-9880-4471-b3f7-38ca992cd2fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d63426ac-2b8d-443d-aeca-4001364bd0ca' class='xr-var-data-in' type='checkbox'><label for='data-d63426ac-2b8d-443d-aeca-4001364bd0ca' title='Show/Hide data repr'><svg 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>S-coordinate at RHO-points</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>ocean_s_coordinate_g1</dd><dt><span>formula_terms :</span></dt><dd>s: s_rho C: Cs_r eta: zeta depth: h depth_c: hc</dd><dt><span>field :</span></dt><dd>s_rho, scalar</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([-0.975, -0.925, -0.875, -0.825, -0.775, -0.725, -0.675, -0.625, -0.575,\n",
       "       -0.525, -0.475, -0.425, -0.375, -0.325, -0.275, -0.225, -0.175, -0.125,\n",
       "       -0.075, -0.025])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>s_w</span></div><div class='xr-var-dims'>(s_w)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.0 -0.95 -0.9 ... -0.1 -0.05 0.0</div><input id='attrs-c383ca1c-62f8-4846-8e43-f6d67f5d2ad2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c383ca1c-62f8-4846-8e43-f6d67f5d2ad2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ca7025f-3c8d-4456-9b0d-d94b574e86d1' class='xr-var-data-in' type='checkbox'><label for='data-2ca7025f-3c8d-4456-9b0d-d94b574e86d1' title='Show/Hide data repr'><svg 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>S-coordinate at W-points</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>ocean_s_coordinate_g1</dd><dt><span>formula_terms :</span></dt><dd>s: s_w C: Cs_w eta: zeta depth: h depth_c: hc</dd><dt><span>field :</span></dt><dd>s_w, scalar</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([-1.  , -0.95, -0.9 , -0.85, -0.8 , -0.75, -0.7 , -0.65, -0.6 , -0.55,\n",
       "       -0.5 , -0.45, -0.4 , -0.35, -0.3 , -0.25, -0.2 , -0.15, -0.1 , -0.05,\n",
       "        0.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_rho</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(124, 151), meta=np.ndarray&gt;</div><input id='attrs-6cf18414-2eda-4da6-9993-4cba742a6b83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6cf18414-2eda-4da6-9993-4cba742a6b83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2b966b7-c648-4465-878f-562c48da8b3f' class='xr-var-data-in' type='checkbox'><label for='data-b2b966b7-c648-4465-878f-562c48da8b3f' title='Show/Hide data repr'><svg 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 RHO-points</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>field :</span></dt><dd>lon_rho, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 146.28 kiB </td>\n",
       "                        <td> 146.28 kiB </td>\n",
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       "                        <th> Shape </th>\n",
       "                        <td> (124, 151) </td>\n",
       "                        <td> (124, 151) </td>\n",
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       "                        <td> 4 Tasks </td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_rho</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(124, 151), meta=np.ndarray&gt;</div><input id='attrs-1e2e8fe7-0cd8-467c-9486-7fcbf2ddbcb0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e2e8fe7-0cd8-467c-9486-7fcbf2ddbcb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45f3f185-3536-44ef-93b3-dd5392a739a9' class='xr-var-data-in' type='checkbox'><label for='data-45f3f185-3536-44ef-93b3-dd5392a739a9' title='Show/Hide data repr'><svg 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 RHO-points</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>field :</span></dt><dd>lat_rho, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 146.28 kiB </td>\n",
       "                        <td> 146.28 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (124, 151) </td>\n",
       "                        <td> (124, 151) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 4 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_u</span></div><div class='xr-var-dims'>(eta_u, xi_u)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(124, 150), meta=np.ndarray&gt;</div><input id='attrs-8c41e10d-2ea9-49f0-bc41-5cb9cd717507' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c41e10d-2ea9-49f0-bc41-5cb9cd717507' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-550d54a4-7a1b-412d-b99b-e85acd8a10e7' class='xr-var-data-in' type='checkbox'><label for='data-550d54a4-7a1b-412d-b99b-e85acd8a10e7' title='Show/Hide data repr'><svg 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 U-points</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>field :</span></dt><dd>lon_u, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 145.31 kiB </td>\n",
       "                        <td> 145.31 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (124, 150) </td>\n",
       "                        <td> (124, 150) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 4 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"149\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_u</span></div><div class='xr-var-dims'>(eta_u, xi_u)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(124, 150), meta=np.ndarray&gt;</div><input id='attrs-28ba6fa1-5bb4-40eb-8175-07425f9aef6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28ba6fa1-5bb4-40eb-8175-07425f9aef6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc573eac-e179-4532-a9cd-7b7502a550d4' class='xr-var-data-in' type='checkbox'><label for='data-fc573eac-e179-4532-a9cd-7b7502a550d4' title='Show/Hide data repr'><svg 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 U-points</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>field :</span></dt><dd>lat_u, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 145.31 kiB </td>\n",
       "                        <td> 145.31 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (124, 150) </td>\n",
       "                        <td> (124, 150) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 4 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"149\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_v</span></div><div class='xr-var-dims'>(eta_v, xi_v)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(123, 151), meta=np.ndarray&gt;</div><input id='attrs-ac4a70d8-d97d-4b8c-a00a-0e62bad05713' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac4a70d8-d97d-4b8c-a00a-0e62bad05713' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a624b0ea-db2c-4d93-9de6-ce6249289bb9' class='xr-var-data-in' type='checkbox'><label for='data-a624b0ea-db2c-4d93-9de6-ce6249289bb9' title='Show/Hide data repr'><svg 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 V-points</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>field :</span></dt><dd>lon_v, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 145.10 kiB </td>\n",
       "                        <td> 145.10 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (123, 151) </td>\n",
       "                        <td> (123, 151) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 4 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"147\" 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>lat_v</span></div><div class='xr-var-dims'>(eta_v, xi_v)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(123, 151), meta=np.ndarray&gt;</div><input id='attrs-5b1d80cc-f4f9-4508-9d4d-8ad2d8020a45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b1d80cc-f4f9-4508-9d4d-8ad2d8020a45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66e7fa2a-a01a-44cb-baa4-a8c5d6fc2439' class='xr-var-data-in' type='checkbox'><label for='data-66e7fa2a-a01a-44cb-baa4-a8c5d6fc2439' title='Show/Hide data repr'><svg 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 V-points</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>field :</span></dt><dd>lat_v, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 145.10 kiB </td>\n",
       "                        <td> 145.10 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (123, 151) </td>\n",
       "                        <td> (123, 151) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 4 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"147\" 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>lon_psi</span></div><div class='xr-var-dims'>(eta_psi, xi_psi)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(123, 150), meta=np.ndarray&gt;</div><input id='attrs-c0f1a6b3-796a-441a-9b39-1c3198bb9dce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0f1a6b3-796a-441a-9b39-1c3198bb9dce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-738bb7f3-c9bc-43b3-b2e3-b8bd53d000bf' class='xr-var-data-in' type='checkbox'><label for='data-738bb7f3-c9bc-43b3-b2e3-b8bd53d000bf' title='Show/Hide data repr'><svg 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 PSI-points</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>field :</span></dt><dd>lon_psi, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 144.14 kiB </td>\n",
       "                        <td> 144.14 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (123, 150) </td>\n",
       "                        <td> (123, 150) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 4 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"148\" 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=\"98\" x2=\"120\" y2=\"98\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"98\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"98\" style=\"stroke-width:2\" />\n",
       "\n",
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       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,98.4 0.0,98.4\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"118.400000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >150</text>\n",
       "  <text x=\"140.000000\" y=\"49.200000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,49.200000)\">123</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_psi</span></div><div class='xr-var-dims'>(eta_psi, xi_psi)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(123, 150), meta=np.ndarray&gt;</div><input id='attrs-5ffa7797-9604-4991-a493-ea5ed7ac190b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ffa7797-9604-4991-a493-ea5ed7ac190b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9ba1921-ed25-408f-87e3-03440fe8df09' class='xr-var-data-in' type='checkbox'><label for='data-e9ba1921-ed25-408f-87e3-03440fe8df09' title='Show/Hide data repr'><svg 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 PSI-points</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>field :</span></dt><dd>lat_psi, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 144.14 kiB </td>\n",
       "                        <td> 144.14 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (123, 150) </td>\n",
       "                        <td> (123, 150) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 4 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"148\" 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=\"98\" x2=\"120\" y2=\"98\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"98\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"98\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,98.4 0.0,98.4\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"118.400000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >150</text>\n",
       "  <text x=\"140.000000\" y=\"49.200000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,49.200000)\">123</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ocean_time</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-08-25T11:00:00 ... 2022-08-...</div><input id='attrs-8377b356-35b3-4779-b4d6-19b4fc7221c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8377b356-35b3-4779-b4d6-19b4fc7221c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b441a2b4-128a-4b7d-80dd-9d60dd11cb4e' class='xr-var-data-in' type='checkbox'><label for='data-b441a2b4-128a-4b7d-80dd-9d60dd11cb4e' title='Show/Hide data repr'><svg 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 since initialization</dd><dt><span>field :</span></dt><dd>time, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>512</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-08-25T11:00:00.000000000&#x27;, &#x27;2022-08-25T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T13:00:00.000000000&#x27;, &#x27;2022-08-25T14:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T15:00:00.000000000&#x27;, &#x27;2022-08-25T16:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T17:00:00.000000000&#x27;, &#x27;2022-08-25T18:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T19:00:00.000000000&#x27;, &#x27;2022-08-25T20:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T21:00:00.000000000&#x27;, &#x27;2022-08-25T22:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T23:00:00.000000000&#x27;, &#x27;2022-08-26T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-26T01:00:00.000000000&#x27;, &#x27;2022-08-26T02:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-26T03:00:00.000000000&#x27;, &#x27;2022-08-26T04:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-26T05:00:00.000000000&#x27;, &#x27;2022-08-26T06:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-26T07:00:00.000000000&#x27;, &#x27;2022-08-26T08:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-26T09:00:00.000000000&#x27;, &#x27;2022-08-26T10:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xi_rho</span></div><div class='xr-var-dims'>(xi_rho)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>181 182 183 184 ... 328 329 330 331</div><input id='attrs-9de73baa-8d13-4ed8-8d6f-62be06f8a27f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9de73baa-8d13-4ed8-8d6f-62be06f8a27f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-434fb0d4-3a5b-443a-88da-d2c44eb41d3f' class='xr-var-data-in' type='checkbox'><label for='data-434fb0d4-3a5b-443a-88da-d2c44eb41d3f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194,\n",
       "       195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208,\n",
       "       209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222,\n",
       "       223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236,\n",
       "       237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250,\n",
       "       251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264,\n",
       "       265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278,\n",
       "       279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292,\n",
       "       293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306,\n",
       "       307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320,\n",
       "       321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xi_u</span></div><div class='xr-var-dims'>(xi_u)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>181 182 183 184 ... 327 328 329 330</div><input id='attrs-7c6fda1e-0b1b-40d3-9a28-55aee56ab2f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c6fda1e-0b1b-40d3-9a28-55aee56ab2f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e5a638a-0f1a-4fee-a3be-0a3f5c4f4ee2' class='xr-var-data-in' type='checkbox'><label for='data-7e5a638a-0f1a-4fee-a3be-0a3f5c4f4ee2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194,\n",
       "       195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208,\n",
       "       209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222,\n",
       "       223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236,\n",
       "       237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250,\n",
       "       251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264,\n",
       "       265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278,\n",
       "       279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292,\n",
       "       293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306,\n",
       "       307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320,\n",
       "       321, 322, 323, 324, 325, 326, 327, 328, 329, 330])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xi_v</span></div><div class='xr-var-dims'>(xi_v)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>181 182 183 184 ... 328 329 330 331</div><input id='attrs-d92685fa-75e7-42f0-b457-dc72f5021617' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d92685fa-75e7-42f0-b457-dc72f5021617' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6027cb15-805c-4927-8bf4-8715b4b84d0f' class='xr-var-data-in' type='checkbox'><label for='data-6027cb15-805c-4927-8bf4-8715b4b84d0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194,\n",
       "       195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208,\n",
       "       209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222,\n",
       "       223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236,\n",
       "       237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250,\n",
       "       251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264,\n",
       "       265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278,\n",
       "       279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292,\n",
       "       293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306,\n",
       "       307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320,\n",
       "       321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xi_psi</span></div><div class='xr-var-dims'>(xi_psi)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>181 182 183 184 ... 327 328 329 330</div><input id='attrs-01146cc5-e62d-4cd2-82aa-e255a4762982' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01146cc5-e62d-4cd2-82aa-e255a4762982' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d378bf97-814c-42bd-bbdc-391ce2424de4' class='xr-var-data-in' type='checkbox'><label for='data-d378bf97-814c-42bd-bbdc-391ce2424de4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194,\n",
       "       195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208,\n",
       "       209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222,\n",
       "       223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236,\n",
       "       237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250,\n",
       "       251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264,\n",
       "       265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278,\n",
       "       279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292,\n",
       "       293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306,\n",
       "       307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320,\n",
       "       321, 322, 323, 324, 325, 326, 327, 328, 329, 330])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>eta_rho</span></div><div class='xr-var-dims'>(eta_rho)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>3 4 5 6 7 8 ... 122 123 124 125 126</div><input id='attrs-af0dba05-ee0e-4061-852c-01a8df26903a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af0dba05-ee0e-4061-852c-01a8df26903a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-087823e1-ca64-4377-afe0-101f0f53538e' class='xr-var-data-in' type='checkbox'><label for='data-087823e1-ca64-4377-afe0-101f0f53538e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([  3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,  14,  15,  16,\n",
       "        17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,  28,  29,  30,\n",
       "        31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,  42,  43,  44,\n",
       "        45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,  56,  57,  58,\n",
       "        59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,  70,  71,  72,\n",
       "        73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,  84,  85,  86,\n",
       "        87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,  98,  99, 100,\n",
       "       101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,\n",
       "       115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>eta_u</span></div><div class='xr-var-dims'>(eta_u)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>3 4 5 6 7 8 ... 122 123 124 125 126</div><input id='attrs-e8c2fbfd-06c0-4eb1-b2df-700602fa8008' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8c2fbfd-06c0-4eb1-b2df-700602fa8008' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cb9cd52-2157-47fe-a15f-f523ea68aaeb' class='xr-var-data-in' type='checkbox'><label for='data-8cb9cd52-2157-47fe-a15f-f523ea68aaeb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([  3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,  14,  15,  16,\n",
       "        17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,  28,  29,  30,\n",
       "        31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,  42,  43,  44,\n",
       "        45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,  56,  57,  58,\n",
       "        59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,  70,  71,  72,\n",
       "        73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,  84,  85,  86,\n",
       "        87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,  98,  99, 100,\n",
       "       101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,\n",
       "       115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>eta_v</span></div><div class='xr-var-dims'>(eta_v)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>3 4 5 6 7 8 ... 121 122 123 124 125</div><input id='attrs-76b6a020-bcee-4e1c-bb01-096e34dfecd3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76b6a020-bcee-4e1c-bb01-096e34dfecd3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b6c0304-dfc2-4c87-a3b6-a6c783befceb' class='xr-var-data-in' type='checkbox'><label for='data-7b6c0304-dfc2-4c87-a3b6-a6c783befceb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([  3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,  14,  15,  16,\n",
       "        17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,  28,  29,  30,\n",
       "        31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,  42,  43,  44,\n",
       "        45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,  56,  57,  58,\n",
       "        59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,  70,  71,  72,\n",
       "        73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,  84,  85,  86,\n",
       "        87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,  98,  99, 100,\n",
       "       101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,\n",
       "       115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>eta_psi</span></div><div class='xr-var-dims'>(eta_psi)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>3 4 5 6 7 8 ... 121 122 123 124 125</div><input id='attrs-48f659ca-febe-4b79-8025-0b3a21ffe288' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48f659ca-febe-4b79-8025-0b3a21ffe288' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cecfdd7f-e951-48c1-acb1-eaa660d72105' class='xr-var-data-in' type='checkbox'><label for='data-cecfdd7f-e951-48c1-acb1-eaa660d72105' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([  3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,  14,  15,  16,\n",
       "        17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,  28,  29,  30,\n",
       "        31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,  42,  43,  44,\n",
       "        45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,  56,  57,  58,\n",
       "        59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,  70,  71,  72,\n",
       "        73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,  84,  85,  86,\n",
       "        87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,  98,  99, 100,\n",
       "       101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,\n",
       "       115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-30f00706-65f6-4c37-a1a2-008d89e0594d' class='xr-section-summary-in' type='checkbox'  ><label for='section-30f00706-65f6-4c37-a1a2-008d89e0594d' class='xr-section-summary' >Data variables: <span>(97)</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>ntimes</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-342b876b-72c8-4797-8047-85378d6a3fa2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-342b876b-72c8-4797-8047-85378d6a3fa2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52e31ab6-3ab3-4da0-8d5a-d97fe8198918' class='xr-var-data-in' type='checkbox'><label for='data-52e31ab6-3ab3-4da0-8d5a-d97fe8198918' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of long time-steps</dd></dl></div><div class='xr-var-data'><pre>array(4320, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ndtfast</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a58b37a2-7f65-4496-9ddf-8a6b9ee33c94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a58b37a2-7f65-4496-9ddf-8a6b9ee33c94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad4c5ac0-2938-449f-ae6e-0b5a939480cf' class='xr-var-data-in' type='checkbox'><label for='data-ad4c5ac0-2938-449f-ae6e-0b5a939480cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of short time-steps</dd></dl></div><div class='xr-var-data'><pre>array(20, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dt</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d1ad0ef1-633f-4805-9a63-820e4ddec0ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1ad0ef1-633f-4805-9a63-820e4ddec0ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f8aac7a-9f9a-45dc-bdba-f9ff0bb76f67' class='xr-var-data-in' type='checkbox'><label for='data-3f8aac7a-9f9a-45dc-bdba-f9ff0bb76f67' title='Show/Hide data repr'><svg 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>size of long time-steps</dd><dt><span>units :</span></dt><dd>second</dd></dl></div><div class='xr-var-data'><pre>array(5.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dtfast</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-21662788-2ded-4d49-9698-54b567122f04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21662788-2ded-4d49-9698-54b567122f04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8da6228-6bb6-4f07-9cf8-5892d636da5e' class='xr-var-data-in' type='checkbox'><label for='data-a8da6228-6bb6-4f07-9cf8-5892d636da5e' title='Show/Hide data repr'><svg 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>size of short time-steps</dd><dt><span>units :</span></dt><dd>second</dd></dl></div><div class='xr-var-data'><pre>array(0.25)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dstart</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-90bc00f3-0b78-49bf-bcd5-3ceef2afd0af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90bc00f3-0b78-49bf-bcd5-3ceef2afd0af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ecb936d-fa4f-47e9-91a4-7ee692d411bc' class='xr-var-data-in' type='checkbox'><label for='data-6ecb936d-fa4f-47e9-91a4-7ee692d411bc' title='Show/Hide data repr'><svg 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 stamp assigned to model initilization</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-08-25T06:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nHIS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d680a9b5-5ab4-415d-a42d-ba21664a3eb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d680a9b5-5ab4-415d-a42d-ba21664a3eb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-322b2107-b475-4424-bfb6-5a0f3fa715dc' class='xr-var-data-in' type='checkbox'><label for='data-322b2107-b475-4424-bfb6-5a0f3fa715dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of time-steps between history records</dd></dl></div><div class='xr-var-data'><pre>array(720, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ndefHIS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-06d58eba-e45d-4b8f-a5d8-5a73d0349a23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06d58eba-e45d-4b8f-a5d8-5a73d0349a23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca75fe83-968e-47f1-8d3a-4d23b1e9604e' class='xr-var-data-in' type='checkbox'><label for='data-ca75fe83-968e-47f1-8d3a-4d23b1e9604e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of time-steps between the creation of history files</dd></dl></div><div class='xr-var-data'><pre>array(720, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nRST</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-98f9e20d-e815-4b5b-b9d5-a3de9e0bd4ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98f9e20d-e815-4b5b-b9d5-a3de9e0bd4ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a0824b4-2ac9-4b65-af9d-6c1d8f285c2f' class='xr-var-data-in' type='checkbox'><label for='data-6a0824b4-2ac9-4b65-af9d-6c1d8f285c2f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of time-steps between restart records</dd><dt><span>cycle :</span></dt><dd>only latest two records are maintained</dd></dl></div><div class='xr-var-data'><pre>array(4320, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nSTA</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-facda680-6aef-4dea-b203-b7674f24eee2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-facda680-6aef-4dea-b203-b7674f24eee2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c6c3ecc-80f2-41f6-ba9d-e7239a9a9ebb' class='xr-var-data-in' type='checkbox'><label for='data-9c6c3ecc-80f2-41f6-ba9d-e7239a9a9ebb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of time-steps between stations records</dd></dl></div><div class='xr-var-data'><pre>array(72, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Falpha</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-970522e2-90f1-46c5-8871-8f2d85e66990' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-970522e2-90f1-46c5-8871-8f2d85e66990' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6154dec-d12f-438f-98b2-a0043e5d219d' class='xr-var-data-in' type='checkbox'><label for='data-b6154dec-d12f-438f-98b2-a0043e5d219d' title='Show/Hide data repr'><svg 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>Power-law shape barotropic filter parameter</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fbeta</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c8acc30e-a5bc-4c85-bfc6-01a0977ea590' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8acc30e-a5bc-4c85-bfc6-01a0977ea590' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd88330a-d05e-496d-a84a-e3251d52d5f6' class='xr-var-data-in' type='checkbox'><label for='data-bd88330a-d05e-496d-a84a-e3251d52d5f6' title='Show/Hide data repr'><svg 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>Power-law shape barotropic filter parameter</dd></dl></div><div class='xr-var-data'><pre>array(4.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fgamma</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5f5ee667-260e-446a-a47b-662021fa80d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f5ee667-260e-446a-a47b-662021fa80d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9fed277-c58b-467e-bac3-cfe376584840' class='xr-var-data-in' type='checkbox'><label for='data-e9fed277-c58b-467e-bac3-cfe376584840' title='Show/Hide data repr'><svg 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>Power-law shape barotropic filter parameter</dd></dl></div><div class='xr-var-data'><pre>array(0.284)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nl_tnu2</span></div><div class='xr-var-dims'>(tracer)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3,), meta=np.ndarray&gt;</div><input id='attrs-1977dfe9-018b-4e16-a50a-85165a276390' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1977dfe9-018b-4e16-a50a-85165a276390' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fae739b6-ee09-460b-a0df-92e33bd536cd' class='xr-var-data-in' type='checkbox'><label for='data-fae739b6-ee09-460b-a0df-92e33bd536cd' title='Show/Hide data repr'><svg 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>nonlinear model Laplacian mixing coefficient for tracers</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 24 B </td>\n",
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       "                        <td> (3,) </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nl_visc2</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e2d8c65c-96dc-4780-aacc-054319094c35' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2d8c65c-96dc-4780-aacc-054319094c35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b69783d-2eed-438d-8f60-03bb8d317acf' class='xr-var-data-in' type='checkbox'><label for='data-5b69783d-2eed-438d-8f60-03bb8d317acf' title='Show/Hide data repr'><svg 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>nonlinear model Laplacian mixing coefficient for momentum</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd></dl></div><div class='xr-var-data'><pre>array(10.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LuvSponge</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9f672b95-0ed7-4e61-b7f9-43340b056c93' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f672b95-0ed7-4e61-b7f9-43340b056c93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4bc6ef80-26ed-4523-a6b9-a4c98ea502c8' class='xr-var-data-in' type='checkbox'><label for='data-4bc6ef80-26ed-4523-a6b9-a4c98ea502c8' title='Show/Hide data repr'><svg 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>horizontal viscosity sponge activation switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LtracerSponge</span></div><div class='xr-var-dims'>(tracer)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3,), meta=np.ndarray&gt;</div><input id='attrs-d938c043-75f8-46bb-b571-75287416478c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d938c043-75f8-46bb-b571-75287416478c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0067208f-5576-4ec9-abc8-b6d7d8bf83ca' class='xr-var-data-in' type='checkbox'><label for='data-0067208f-5576-4ec9-abc8-b6d7d8bf83ca' title='Show/Hide data repr'><svg 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>horizontal diffusivity sponge activation switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 12 B </td>\n",
       "                        <td> 12 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (3,) </td>\n",
       "                        <td> (3,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> int32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"93\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"43\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"43\" style=\"stroke-width:2\" />\n",
       "\n",
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       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,43.88583450710766 0.0,43.88583450710766\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"63.885835\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3</text>\n",
       "  <text x=\"140.000000\" y=\"21.942917\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,21.942917)\">1</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Akt_bak</span></div><div class='xr-var-dims'>(tracer)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3,), meta=np.ndarray&gt;</div><input id='attrs-371a546d-feac-4239-82b5-595df7d3546f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-371a546d-feac-4239-82b5-595df7d3546f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1af6d5d-51b3-4af2-9a31-602eaad6f135' class='xr-var-data-in' type='checkbox'><label for='data-f1af6d5d-51b3-4af2-9a31-602eaad6f135' title='Show/Hide data repr'><svg 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>background vertical mixing coefficient for tracers</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 24 B </td>\n",
       "                        <td> 24 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (3,) </td>\n",
       "                        <td> (3,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"93\" 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=\"43\" x2=\"120\" y2=\"43\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"43\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"43\" style=\"stroke-width:2\" />\n",
       "\n",
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       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,43.88583450710766 0.0,43.88583450710766\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"63.885835\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3</text>\n",
       "  <text x=\"140.000000\" y=\"21.942917\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,21.942917)\">1</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Akv_bak</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-07b52a29-369d-476f-b196-ad6a8ce727f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07b52a29-369d-476f-b196-ad6a8ce727f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c603f60c-402d-4d04-91e8-a25e78000fd1' class='xr-var-data-in' type='checkbox'><label for='data-c603f60c-402d-4d04-91e8-a25e78000fd1' title='Show/Hide data repr'><svg 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>background vertical mixing coefficient for momentum</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd></dl></div><div class='xr-var-data'><pre>array(5.e-05)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Akk_bak</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dd0aaf1c-3516-4997-9f3c-678777df8edd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd0aaf1c-3516-4997-9f3c-678777df8edd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4094c342-739c-4156-91af-b60d348b2182' class='xr-var-data-in' type='checkbox'><label for='data-4094c342-739c-4156-91af-b60d348b2182' title='Show/Hide data repr'><svg 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>background vertical mixing coefficient for turbulent energy</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd></dl></div><div class='xr-var-data'><pre>array(5.e-06)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Akp_bak</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dee5c547-9397-4627-b092-32a1664a79ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dee5c547-9397-4627-b092-32a1664a79ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b9bcc8e-4274-40eb-a556-c032dc98bcab' class='xr-var-data-in' type='checkbox'><label for='data-1b9bcc8e-4274-40eb-a556-c032dc98bcab' title='Show/Hide data repr'><svg 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>background vertical mixing coefficient for length scale</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd></dl></div><div class='xr-var-data'><pre>array(5.e-06)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rdrg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-51f7f1ae-1e40-4db7-844d-2531cb93d76d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51f7f1ae-1e40-4db7-844d-2531cb93d76d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a405b6a-1fd0-4981-b2bc-9adc2ab8511b' class='xr-var-data-in' type='checkbox'><label for='data-6a405b6a-1fd0-4981-b2bc-9adc2ab8511b' title='Show/Hide data repr'><svg 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>linear drag coefficient</dd><dt><span>units :</span></dt><dd>meter second-1</dd></dl></div><div class='xr-var-data'><pre>array(0.0003)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rdrg2</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-076894bd-7cb1-49ac-9c8f-ac61eb612412' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-076894bd-7cb1-49ac-9c8f-ac61eb612412' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2038a500-c8fc-4032-badc-471277abf38c' class='xr-var-data-in' type='checkbox'><label for='data-2038a500-c8fc-4032-badc-471277abf38c' title='Show/Hide data repr'><svg 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>quadratic drag coefficient</dd></dl></div><div class='xr-var-data'><pre>array(0.005)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Zob</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ee5b5197-afc2-4b5a-8f28-1446e55f3bb1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee5b5197-afc2-4b5a-8f28-1446e55f3bb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef019bad-7a86-43b0-b84b-bfa130260785' class='xr-var-data-in' type='checkbox'><label for='data-ef019bad-7a86-43b0-b84b-bfa130260785' title='Show/Hide data repr'><svg 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>bottom roughness</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array(0.0005)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Zos</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6acce429-6928-4733-b7ae-f50a6169875d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6acce429-6928-4733-b7ae-f50a6169875d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d03546d-c240-4f0f-8585-6b3f650eb534' class='xr-var-data-in' type='checkbox'><label for='data-9d03546d-c240-4f0f-8585-6b3f650eb534' title='Show/Hide data repr'><svg 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>surface roughness</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array(0.02)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_p</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-37f1a53a-3c68-4c6d-8cbb-063f8af9cdfa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37f1a53a-3c68-4c6d-8cbb-063f8af9cdfa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af34d724-9b00-4b84-b906-94dd35ea8337' class='xr-var-data-in' type='checkbox'><label for='data-af34d724-9b00-4b84-b906-94dd35ea8337' title='Show/Hide data repr'><svg 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>stability exponent</dd></dl></div><div class='xr-var-data'><pre>array(-1.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_m</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3702f0dd-0f8b-4c11-bf60-2e26425507df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3702f0dd-0f8b-4c11-bf60-2e26425507df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb21468d-3b6d-4cf1-a1a3-a4ec8e64b5f8' class='xr-var-data-in' type='checkbox'><label for='data-eb21468d-3b6d-4cf1-a1a3-a4ec8e64b5f8' title='Show/Hide data repr'><svg 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>turbulent kinetic energy exponent</dd></dl></div><div class='xr-var-data'><pre>array(0.5)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_n</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6399562c-3476-4061-9e31-0b88dd7b03a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6399562c-3476-4061-9e31-0b88dd7b03a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d88a577-e49e-4d2d-a99f-ca9997b425e2' class='xr-var-data-in' type='checkbox'><label for='data-1d88a577-e49e-4d2d-a99f-ca9997b425e2' title='Show/Hide data repr'><svg 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>turbulent length scale exponent</dd></dl></div><div class='xr-var-data'><pre>array(-1.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_cmu0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-947d137d-1664-400f-91a3-ece61c8f18c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-947d137d-1664-400f-91a3-ece61c8f18c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f65b39a-5e35-45bf-b40a-948ce30caf47' class='xr-var-data-in' type='checkbox'><label for='data-7f65b39a-5e35-45bf-b40a-948ce30caf47' title='Show/Hide data repr'><svg 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>stability coefficient</dd></dl></div><div class='xr-var-data'><pre>array(0.5477)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_c1</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f82340d9-4974-4cb2-a05e-12e9c2d266b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f82340d9-4974-4cb2-a05e-12e9c2d266b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7ce68dd-8931-47b3-8850-4ea367f4e847' class='xr-var-data-in' type='checkbox'><label for='data-d7ce68dd-8931-47b3-8850-4ea367f4e847' title='Show/Hide data repr'><svg 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>shear production coefficient</dd></dl></div><div class='xr-var-data'><pre>array(0.555)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_c2</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6e77168b-c26a-46c0-8a96-977502941e91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e77168b-c26a-46c0-8a96-977502941e91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3147182c-f716-445a-ab55-bd888b123bca' class='xr-var-data-in' type='checkbox'><label for='data-3147182c-f716-445a-ab55-bd888b123bca' title='Show/Hide data repr'><svg 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>dissipation coefficient</dd></dl></div><div class='xr-var-data'><pre>array(0.833)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_c3m</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a5a2c764-af0c-4eec-a1a1-a538f5a34c07' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5a2c764-af0c-4eec-a1a1-a538f5a34c07' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5382b756-2816-44e7-9993-c08035e67d2b' class='xr-var-data-in' type='checkbox'><label for='data-5382b756-2816-44e7-9993-c08035e67d2b' title='Show/Hide data repr'><svg 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>buoyancy production coefficient (minus)</dd></dl></div><div class='xr-var-data'><pre>array(-0.6)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_c3p</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8244b107-bb5b-41a2-a0c3-328c3c36d2ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8244b107-bb5b-41a2-a0c3-328c3c36d2ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-495e578f-e99e-4e87-8a6b-a989d4e18934' class='xr-var-data-in' type='checkbox'><label for='data-495e578f-e99e-4e87-8a6b-a989d4e18934' title='Show/Hide data repr'><svg 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>buoyancy production coefficient (plus)</dd></dl></div><div class='xr-var-data'><pre>array(1.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_sigk</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0aa7d9d8-bfdc-41f2-b73d-27415c032a4e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0aa7d9d8-bfdc-41f2-b73d-27415c032a4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c68ef0dc-59b3-49c8-87f8-0b839d59738b' class='xr-var-data-in' type='checkbox'><label for='data-c68ef0dc-59b3-49c8-87f8-0b839d59738b' title='Show/Hide data repr'><svg 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>constant Schmidt number for TKE</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_sigp</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0a017f40-77be-4e82-ad18-69f08eb6c21e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a017f40-77be-4e82-ad18-69f08eb6c21e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00758955-f887-46f1-a497-1c204b27c647' class='xr-var-data-in' type='checkbox'><label for='data-00758955-f887-46f1-a497-1c204b27c647' title='Show/Hide data repr'><svg 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>constant Schmidt number for PSI</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_Kmin</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-36abbe3b-5912-4077-a0c4-5d2e262b1d9c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36abbe3b-5912-4077-a0c4-5d2e262b1d9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e52832f-4bd6-4424-b851-bb8d384b6754' class='xr-var-data-in' type='checkbox'><label for='data-3e52832f-4bd6-4424-b851-bb8d384b6754' title='Show/Hide data repr'><svg 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>minimum value of specific turbulent kinetic energy</dd></dl></div><div class='xr-var-data'><pre>array(1.e-10)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_Pmin</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7a78aca5-ad32-467a-bdfa-3149e2f49a9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a78aca5-ad32-467a-bdfa-3149e2f49a9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5a64144-9ffd-4799-9a08-9ed7b2d8ee41' class='xr-var-data-in' type='checkbox'><label for='data-b5a64144-9ffd-4799-9a08-9ed7b2d8ee41' title='Show/Hide data repr'><svg 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>minimum Value of dissipation</dd></dl></div><div class='xr-var-data'><pre>array(1.e-12)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Charnok_alpha</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-19eedd9d-8a4a-429c-b756-5abfebe70ef1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19eedd9d-8a4a-429c-b756-5abfebe70ef1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4fd429d0-cef4-4e12-85fe-085be3f3d3b1' class='xr-var-data-in' type='checkbox'><label for='data-4fd429d0-cef4-4e12-85fe-085be3f3d3b1' title='Show/Hide data repr'><svg 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>Charnok factor for surface roughness</dd></dl></div><div class='xr-var-data'><pre>array(1400.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Zos_hsig_alpha</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-030f0b59-48b9-4232-adfd-2cf861e27297' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-030f0b59-48b9-4232-adfd-2cf861e27297' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4fec5019-6737-4a85-96e7-8401e66b0b3a' class='xr-var-data-in' type='checkbox'><label for='data-4fec5019-6737-4a85-96e7-8401e66b0b3a' title='Show/Hide data repr'><svg 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>wave amplitude factor for surface roughness</dd></dl></div><div class='xr-var-data'><pre>array(0.5)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sz_alpha</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8ce76676-1985-4c1f-9ce0-c2797d651e73' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ce76676-1985-4c1f-9ce0-c2797d651e73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9bb2a77d-9ae0-48cf-a6a9-6856a9c4842b' class='xr-var-data-in' type='checkbox'><label for='data-9bb2a77d-9ae0-48cf-a6a9-6856a9c4842b' title='Show/Hide data repr'><svg 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>surface flux from wave dissipation</dd></dl></div><div class='xr-var-data'><pre>array(0.25)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CrgBan_cw</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c5ec3371-9307-4cbf-ae81-4bd712e444cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c5ec3371-9307-4cbf-ae81-4bd712e444cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a71de52c-d12f-49d0-8586-f50bba58922d' class='xr-var-data-in' type='checkbox'><label for='data-a71de52c-d12f-49d0-8586-f50bba58922d' title='Show/Hide data repr'><svg 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>surface flux due to Craig and Banner wave breaking</dd></dl></div><div class='xr-var-data'><pre>array(100.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Znudg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-612d4be1-9185-48ee-9fd2-2e76a9aa229b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-612d4be1-9185-48ee-9fd2-2e76a9aa229b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cf21cfe-5679-41fb-8344-c0466ac2758d' class='xr-var-data-in' type='checkbox'><label for='data-9cf21cfe-5679-41fb-8344-c0466ac2758d' title='Show/Hide data repr'><svg 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>free-surface nudging/relaxation inverse time scale</dd><dt><span>units :</span></dt><dd>day-1</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>M2nudg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4b3b8c1d-0f4b-4bb1-a1ee-41c36fc70a30' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b3b8c1d-0f4b-4bb1-a1ee-41c36fc70a30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2b1dda3-abf9-4586-952b-00c99fafed7a' class='xr-var-data-in' type='checkbox'><label for='data-d2b1dda3-abf9-4586-952b-00c99fafed7a' title='Show/Hide data repr'><svg 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>2D momentum nudging/relaxation inverse time scale</dd><dt><span>units :</span></dt><dd>day-1</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>M3nudg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6e0357e4-add5-4b08-8b72-c5aa2d35664e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e0357e4-add5-4b08-8b72-c5aa2d35664e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1fcd8f0-92ee-4e4a-86f0-00d3dd25fea1' class='xr-var-data-in' type='checkbox'><label for='data-f1fcd8f0-92ee-4e4a-86f0-00d3dd25fea1' title='Show/Hide data repr'><svg 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>3D momentum nudging/relaxation inverse time scale</dd><dt><span>units :</span></dt><dd>day-1</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tnudg</span></div><div class='xr-var-dims'>(tracer)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3,), meta=np.ndarray&gt;</div><input id='attrs-d90ab310-b44d-4b97-b4bf-5d4e68ce73fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d90ab310-b44d-4b97-b4bf-5d4e68ce73fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-272d4053-023a-44db-8e18-d17fb5bdc7fe' class='xr-var-data-in' type='checkbox'><label for='data-272d4053-023a-44db-8e18-d17fb5bdc7fe' title='Show/Hide data repr'><svg 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>Tracers nudging/relaxation inverse time scale</dd><dt><span>units :</span></dt><dd>day-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\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>M3obc_in</span></div><div class='xr-var-dims'>(boundary)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4,), meta=np.ndarray&gt;</div><input id='attrs-d6600d14-30cc-4e45-aaef-7bb25a23ffdc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6600d14-30cc-4e45-aaef-7bb25a23ffdc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8aef5a4d-5fa7-4618-a199-9f2e62cc56c8' class='xr-var-data-in' type='checkbox'><label for='data-8aef5a4d-5fa7-4618-a199-9f2e62cc56c8' title='Show/Hide data repr'><svg 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>3D momentum inflow, nudging inverse time scale</dd><dt><span>units :</span></dt><dd>second-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 32 B </td>\n",
       "                        <td> 32 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (4,) </td>\n",
       "                        <td> (4,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"92\" 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>M3obc_out</span></div><div class='xr-var-dims'>(boundary)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4,), meta=np.ndarray&gt;</div><input id='attrs-79e1ee4a-661b-4028-95aa-4d7e4afec3a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79e1ee4a-661b-4028-95aa-4d7e4afec3a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a98906aa-ecdf-4ece-9f36-be10b7734bd9' class='xr-var-data-in' type='checkbox'><label for='data-a98906aa-ecdf-4ece-9f36-be10b7734bd9' title='Show/Hide data repr'><svg 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>3D momentum outflow, nudging inverse time scale</dd><dt><span>units :</span></dt><dd>second-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 32 B </td>\n",
       "                        <td> 32 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (4,) </td>\n",
       "                        <td> (4,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"92\" 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>rho0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b8c5cfbe-d9c4-4467-baab-3ad37fb57261' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8c5cfbe-d9c4-4467-baab-3ad37fb57261' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9bd16ce-17ff-4e49-ab27-0ca31cba499a' class='xr-var-data-in' type='checkbox'><label for='data-d9bd16ce-17ff-4e49-ab27-0ca31cba499a' title='Show/Hide data repr'><svg 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>mean density used in Boussinesq approximation</dd><dt><span>units :</span></dt><dd>kilogram meter-3</dd></dl></div><div class='xr-var-data'><pre>array(1025.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gamma2</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-52e4677e-bd61-4afb-8b89-6bae736aeadc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52e4677e-bd61-4afb-8b89-6bae736aeadc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e52524b-b178-4040-918a-fad43f4c8ef5' class='xr-var-data-in' type='checkbox'><label for='data-1e52524b-b178-4040-918a-fad43f4c8ef5' title='Show/Hide data repr'><svg 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>slipperiness parameter</dd></dl></div><div class='xr-var-data'><pre>array(1.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LuvSrc</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-75d18dbd-5245-4943-babe-34bc56d5a6c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75d18dbd-5245-4943-babe-34bc56d5a6c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5941b7fb-ddc0-4b92-a75d-41fbcc226688' class='xr-var-data-in' type='checkbox'><label for='data-5941b7fb-ddc0-4b92-a75d-41fbcc226688' title='Show/Hide data repr'><svg 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>momentum point sources and sink activation switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>array(1, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LwSrc</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-225be6be-8bb0-487b-a909-8f9de3e3c167' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-225be6be-8bb0-487b-a909-8f9de3e3c167' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1cc6dbc8-32e2-4fc6-9a19-02f1b01eb10e' class='xr-var-data-in' type='checkbox'><label for='data-1cc6dbc8-32e2-4fc6-9a19-02f1b01eb10e' title='Show/Hide data repr'><svg 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>mass point sources and sink activation switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LtracerSrc</span></div><div class='xr-var-dims'>(tracer)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3,), meta=np.ndarray&gt;</div><input id='attrs-84f23d1a-0b99-473b-9209-405f87b8861a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84f23d1a-0b99-473b-9209-405f87b8861a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be964700-28b7-4e9c-a93f-9d61b149dfba' class='xr-var-data-in' type='checkbox'><label for='data-be964700-28b7-4e9c-a93f-9d61b149dfba' title='Show/Hide data repr'><svg 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>tracer point sources and sink activation switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 12 B </td>\n",
       "                        <td> 12 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (3,) </td>\n",
       "                        <td> (3,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> int32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"93\" 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>LsshCLM</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9a3a651d-a5dd-46d6-b0be-dbb2e751359e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a3a651d-a5dd-46d6-b0be-dbb2e751359e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c808f8af-f407-4e80-95b2-f22978f62d4a' class='xr-var-data-in' type='checkbox'><label for='data-c808f8af-f407-4e80-95b2-f22978f62d4a' title='Show/Hide data repr'><svg 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 surface height climatology processing switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Lm2CLM</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6fa84cc0-c101-44b1-9c2f-3ac8419b939b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6fa84cc0-c101-44b1-9c2f-3ac8419b939b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f850518d-81aa-4981-a639-391e32d243ee' class='xr-var-data-in' type='checkbox'><label for='data-f850518d-81aa-4981-a639-391e32d243ee' title='Show/Hide data repr'><svg 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>2D momentum climatology processing switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Lm3CLM</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5a0a9017-c31d-45af-b8d5-03cd0502591d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a0a9017-c31d-45af-b8d5-03cd0502591d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-378c428a-e9ad-4af8-b561-93c06c20c269' class='xr-var-data-in' type='checkbox'><label for='data-378c428a-e9ad-4af8-b561-93c06c20c269' title='Show/Hide data repr'><svg 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>3D momentum climatology processing switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LtracerCLM</span></div><div class='xr-var-dims'>(tracer)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3,), meta=np.ndarray&gt;</div><input id='attrs-ffa3ac7c-e9d4-45a0-8b1d-22c82add754c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ffa3ac7c-e9d4-45a0-8b1d-22c82add754c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a465974c-b62d-4ffa-922b-067bad682bb5' class='xr-var-data-in' type='checkbox'><label for='data-a465974c-b62d-4ffa-922b-067bad682bb5' title='Show/Hide data repr'><svg 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>tracer climatology processing switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 12 B </td>\n",
       "                        <td> 12 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (3,) </td>\n",
       "                        <td> (3,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> int32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"93\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "  <text x=\"140.000000\" y=\"21.942917\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,21.942917)\">1</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LnudgeM2CLM</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c5e6c60d-2088-4f1a-94a9-06b6fcf43285' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c5e6c60d-2088-4f1a-94a9-06b6fcf43285' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7f97a64-dddd-4583-b645-baa046f9e2fd' class='xr-var-data-in' type='checkbox'><label for='data-a7f97a64-dddd-4583-b645-baa046f9e2fd' title='Show/Hide data repr'><svg 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>2D momentum climatology nudging activation switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LnudgeM3CLM</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7bc493d1-56d6-40c5-b7d1-4335809434e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7bc493d1-56d6-40c5-b7d1-4335809434e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-255992df-5cff-4b96-a78c-eda24f9f6d1c' class='xr-var-data-in' type='checkbox'><label for='data-255992df-5cff-4b96-a78c-eda24f9f6d1c' title='Show/Hide data repr'><svg 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>3D momentum climatology nudging activation switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LnudgeTCLM</span></div><div class='xr-var-dims'>(tracer)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3,), meta=np.ndarray&gt;</div><input id='attrs-3ce718b6-74c8-4a9b-9f08-62cdd17390f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ce718b6-74c8-4a9b-9f08-62cdd17390f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1d05f95-139a-46fb-b999-140f27f062df' class='xr-var-data-in' type='checkbox'><label for='data-b1d05f95-139a-46fb-b999-140f27f062df' title='Show/Hide data repr'><svg 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>tracer climatology nudging activation switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 12 B </td>\n",
       "                        <td> 12 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (3,) </td>\n",
       "                        <td> (3,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> int32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"93\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"43\" style=\"stroke-width:2\" />\n",
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       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"63.885835\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3</text>\n",
       "  <text x=\"140.000000\" y=\"21.942917\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,21.942917)\">1</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BioIter</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-93ce330c-4251-42e3-9e76-5c412d4a9f34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93ce330c-4251-42e3-9e76-5c412d4a9f34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-268fac19-e7eb-42bb-8cdc-a690a33167a5' class='xr-var-data-in' type='checkbox'><label for='data-268fac19-e7eb-42bb-8cdc-a690a33167a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of iterations to achieve convergence</dd></dl></div><div class='xr-var-data'><pre>array(1, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ResRate</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-afa43da1-f2eb-4252-9363-8ba81b2ea660' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-afa43da1-f2eb-4252-9363-8ba81b2ea660' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-262575ed-5a39-4142-afc9-dcdd7db0631d' class='xr-var-data-in' type='checkbox'><label for='data-262575ed-5a39-4142-afc9-dcdd7db0631d' title='Show/Hide data repr'><svg 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>total biological respiration rate</dd><dt><span>units :</span></dt><dd>day-1</dd></dl></div><div class='xr-var-data'><pre>array(0.00011)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spherical</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ff0f2afa-78c9-408b-bf49-4f8fc8dc6016' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff0f2afa-78c9-408b-bf49-4f8fc8dc6016' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eeade5d6-1a64-4d90-be87-c3a10ec158dc' class='xr-var-data-in' type='checkbox'><label for='data-eeade5d6-1a64-4d90-be87-c3a10ec158dc' title='Show/Hide data repr'><svg 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>grid type logical switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>Cartesian spherical</dd></dl></div><div class='xr-var-data'><pre>array(1, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xl</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5d1a9ffa-36b2-4458-937b-dee5283f5dfc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d1a9ffa-36b2-4458-937b-dee5283f5dfc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6715fd34-a691-46c1-932d-5650cb2f83ad' class='xr-var-data-in' type='checkbox'><label for='data-6715fd34-a691-46c1-932d-5650cb2f83ad' title='Show/Hide data repr'><svg 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>domain length in the XI-direction</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array(6.943582)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>el</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-51810386-5add-4ad5-8b42-e7add128157c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51810386-5add-4ad5-8b42-e7add128157c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b5a254b-c328-4eee-bd8a-74f8762a023a' class='xr-var-data-in' type='checkbox'><label for='data-8b5a254b-c328-4eee-bd8a-74f8762a023a' title='Show/Hide data repr'><svg 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>domain length in the ETA-direction</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array(3.42146)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Vtransform</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5dd5b977-09eb-4c32-8ce2-361d48be1fee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5dd5b977-09eb-4c32-8ce2-361d48be1fee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f89d439-f904-4ee2-9cc2-3a25aa8b7bca' class='xr-var-data-in' type='checkbox'><label for='data-1f89d439-f904-4ee2-9cc2-3a25aa8b7bca' title='Show/Hide data repr'><svg 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>vertical terrain-following transformation equation</dd></dl></div><div class='xr-var-data'><pre>array(1, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Vstretching</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-382e6462-60d0-4c39-9c1d-6e44135dd4f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-382e6462-60d0-4c39-9c1d-6e44135dd4f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f868b65-5c94-414b-ab5a-36c2645fb070' class='xr-var-data-in' type='checkbox'><label for='data-9f868b65-5c94-414b-ab5a-36c2645fb070' title='Show/Hide data repr'><svg 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>vertical terrain-following stretching function</dd></dl></div><div class='xr-var-data'><pre>array(1, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>theta_s</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c2717561-5c7f-4eed-8271-d1cc181f3066' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2717561-5c7f-4eed-8271-d1cc181f3066' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49ebb46e-754c-4fe0-bcc2-e716df4c524d' class='xr-var-data-in' type='checkbox'><label for='data-49ebb46e-754c-4fe0-bcc2-e716df4c524d' title='Show/Hide data repr'><svg 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>S-coordinate surface control parameter</dd></dl></div><div class='xr-var-data'><pre>array(4.5)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>theta_b</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-28c3df01-f565-4c84-ab09-62727af0197a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28c3df01-f565-4c84-ab09-62727af0197a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76d4cbc1-0912-4619-8b65-ec12a51c055a' class='xr-var-data-in' type='checkbox'><label for='data-76d4cbc1-0912-4619-8b65-ec12a51c055a' title='Show/Hide data repr'><svg 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>S-coordinate bottom control parameter</dd></dl></div><div class='xr-var-data'><pre>array(0.95)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tcline</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bab0d365-4923-4504-a64d-e779d1b6f618' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bab0d365-4923-4504-a64d-e779d1b6f618' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7d4d481-ea10-4af4-9638-480117547e43' class='xr-var-data-in' type='checkbox'><label for='data-b7d4d481-ea10-4af4-9638-480117547e43' title='Show/Hide data repr'><svg 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>S-coordinate surface/bottom layer width</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array(10.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hc</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-00b6a8a6-79a7-447b-831a-8b93a2c45b31' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00b6a8a6-79a7-447b-831a-8b93a2c45b31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bab22ea5-d6a5-4029-99b0-0dcc045f29ed' class='xr-var-data-in' type='checkbox'><label for='data-bab22ea5-d6a5-4029-99b0-0dcc045f29ed' title='Show/Hide data repr'><svg 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>S-coordinate parameter, critical depth</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>grid</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0eb53113-21fe-41ad-8ebf-e63a8a03a1a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0eb53113-21fe-41ad-8ebf-e63a8a03a1a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21907da5-8287-4d63-a041-29d414c0ba08' class='xr-var-data-in' type='checkbox'><label for='data-21907da5-8287-4d63-a041-29d414c0ba08' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cf_role :</span></dt><dd>grid_topology</dd><dt><span>topology_dimension :</span></dt><dd>2</dd><dt><span>node_dimensions :</span></dt><dd>xi_psi eta_psi</dd><dt><span>face_dimensions :</span></dt><dd>xi_rho: xi_psi (padding: both) eta_rho: eta_psi (padding: both)</dd><dt><span>edge1_dimensions :</span></dt><dd>xi_u: xi_psi eta_u: eta_psi (padding: both)</dd><dt><span>edge2_dimensions :</span></dt><dd>xi_v: xi_psi (padding: both) eta_v: eta_psi</dd><dt><span>node_coordinates :</span></dt><dd>lon_psi lat_psi</dd><dt><span>face_coordinates :</span></dt><dd>lon_rho lat_rho</dd><dt><span>edge1_coordinates :</span></dt><dd>lon_u lat_u</dd><dt><span>edge2_coordinates :</span></dt><dd>lon_v lat_v</dd><dt><span>vertical_dimensions :</span></dt><dd>s_rho: s_w (padding: none)</dd></dl></div><div class='xr-var-data'><pre>array(1, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Cs_r</span></div><div class='xr-var-dims'>(s_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(20,), meta=np.ndarray&gt;</div><input id='attrs-f430fbb4-fdcf-48d7-842e-0176a7ac6957' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f430fbb4-fdcf-48d7-842e-0176a7ac6957' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52346b1c-c6e5-4e0d-a33b-4ce6d23106c9' class='xr-var-data-in' type='checkbox'><label for='data-52346b1c-c6e5-4e0d-a33b-4ce6d23106c9' title='Show/Hide data repr'><svg 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>S-coordinate stretching curves at RHO-points</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>field :</span></dt><dd>Cs_r, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
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       "            <table>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 160 B </td>\n",
       "                        <td> 160 B </td>\n",
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       "                        <td> (20,) </td>\n",
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       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Cs_w</span></div><div class='xr-var-dims'>(s_w)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(21,), meta=np.ndarray&gt;</div><input id='attrs-52fd6865-856f-42ff-a930-57edaadc8bd6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52fd6865-856f-42ff-a930-57edaadc8bd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfca5396-6cb7-4d1e-a331-77345015d202' class='xr-var-data-in' type='checkbox'><label for='data-cfca5396-6cb7-4d1e-a331-77345015d202' title='Show/Hide data repr'><svg 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>S-coordinate stretching curves at W-points</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>field :</span></dt><dd>Cs_w, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 168 B </td>\n",
       "                        <td> 168 B </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (21,) </td>\n",
       "                        <td> (21,) </td>\n",
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       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
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       "                    <td> numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>h</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(124, 151), meta=np.ndarray&gt;</div><input id='attrs-78741c58-e0aa-4544-927c-0bbb68f5bf74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78741c58-e0aa-4544-927c-0bbb68f5bf74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddd0f872-196a-4579-ac1d-ebec57bbe624' class='xr-var-data-in' type='checkbox'><label for='data-ddd0f872-196a-4579-ac1d-ebec57bbe624' title='Show/Hide data repr'><svg 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>bathymetry at RHO-points</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>bath, scalar</dd><dt><span>standard_name :</span></dt><dd>sea_floor_depth</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
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       "                </thead>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 146.28 kiB </td>\n",
       "                        <td> 146.28 kiB </td>\n",
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       "                        <th> Shape </th>\n",
       "                        <td> (124, 151) </td>\n",
       "                        <td> (124, 151) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 4 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "            </table>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>f</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(124, 151), meta=np.ndarray&gt;</div><input id='attrs-2c4ff7a4-62c3-4b4e-92d1-6fa24c5b211d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c4ff7a4-62c3-4b4e-92d1-6fa24c5b211d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70e7a0ee-f952-4fe8-a239-d5cc83ae6d38' class='xr-var-data-in' type='checkbox'><label for='data-70e7a0ee-f952-4fe8-a239-d5cc83ae6d38' title='Show/Hide data repr'><svg 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 RHO-points</dd><dt><span>units :</span></dt><dd>second-1</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>coriolis, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
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       "            <table>\n",
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       "                    <tr>\n",
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       "                    \n",
       "                    <tr>\n",
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       "                        <td> 146.28 kiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (124, 151) </td>\n",
       "                        <td> (124, 151) </td>\n",
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       "                        <th> Count </th>\n",
       "                        <td> 4 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pm</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(124, 151), meta=np.ndarray&gt;</div><input id='attrs-6bb66dd1-3cb9-441a-8330-d08b7d6c7d35' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6bb66dd1-3cb9-441a-8330-d08b7d6c7d35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2afb9094-0352-4f54-a473-1a88d2d11867' class='xr-var-data-in' type='checkbox'><label for='data-2afb9094-0352-4f54-a473-1a88d2d11867' title='Show/Hide data repr'><svg 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>curvilinear coordinate metric in XI</dd><dt><span>units :</span></dt><dd>meter-1</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>pm, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> 4 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pn</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(124, 151), meta=np.ndarray&gt;</div><input id='attrs-d7fb6b2f-8866-487d-8836-d61eadc55c90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7fb6b2f-8866-487d-8836-d61eadc55c90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d7ddf13-d041-4459-b199-e94d08c43a52' class='xr-var-data-in' type='checkbox'><label for='data-7d7ddf13-d041-4459-b199-e94d08c43a52' title='Show/Hide data repr'><svg 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>curvilinear coordinate metric in ETA</dd><dt><span>units :</span></dt><dd>meter-1</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>pn, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                        <td> 146.28 kiB </td>\n",
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       "                        <td> (124, 151) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 4 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(124, 151), meta=np.ndarray&gt;</div><input id='attrs-0424e3f3-7e85-47e5-8339-b4e7e980ada1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0424e3f3-7e85-47e5-8339-b4e7e980ada1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7bda066-9713-40fd-85ac-68aa5ad6814a' class='xr-var-data-in' type='checkbox'><label for='data-a7bda066-9713-40fd-85ac-68aa5ad6814a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>angle between XI-axis and EAST</dd><dt><span>units :</span></dt><dd>radians</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>angle, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 146.28 kiB </td>\n",
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       "                        <td> (124, 151) </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask_rho</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(124, 151), meta=np.ndarray&gt;</div><input id='attrs-7bb69255-cb2f-402e-8419-eac9e3e86027' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7bb69255-cb2f-402e-8419-eac9e3e86027' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b33f16cb-d52c-488f-8393-af80fd77ce53' class='xr-var-data-in' type='checkbox'><label for='data-b33f16cb-d52c-488f-8393-af80fd77ce53' title='Show/Hide data repr'><svg 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>mask on RHO-points</dd><dt><span>flag_values :</span></dt><dd>[0. 1.]</dd><dt><span>flag_meanings :</span></dt><dd>land water</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 146.28 kiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "                        <td> (124, 151) </td>\n",
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       "                    <tr>\n",
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       "                        <td> 4 Tasks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask_u</span></div><div class='xr-var-dims'>(eta_u, xi_u)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(124, 150), meta=np.ndarray&gt;</div><input id='attrs-9259cbff-885d-4169-bb0e-ef1d7dc84399' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9259cbff-885d-4169-bb0e-ef1d7dc84399' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e57668bf-3538-4daf-8955-3cc89adc99ae' class='xr-var-data-in' type='checkbox'><label for='data-e57668bf-3538-4daf-8955-3cc89adc99ae' title='Show/Hide data repr'><svg 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>mask on U-points</dd><dt><span>flag_values :</span></dt><dd>[0. 1.]</dd><dt><span>flag_meanings :</span></dt><dd>land water</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge1</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "                        <td> (124, 150) </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask_v</span></div><div class='xr-var-dims'>(eta_v, xi_v)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(123, 151), meta=np.ndarray&gt;</div><input id='attrs-dc414375-6c9d-4cd2-979a-6b9cf44bc3c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc414375-6c9d-4cd2-979a-6b9cf44bc3c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-256dcf22-97ad-4dda-8965-fba0add30efc' class='xr-var-data-in' type='checkbox'><label for='data-256dcf22-97ad-4dda-8965-fba0add30efc' title='Show/Hide data repr'><svg 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>mask on V-points</dd><dt><span>flag_values :</span></dt><dd>[0. 1.]</dd><dt><span>flag_meanings :</span></dt><dd>land water</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge2</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask_psi</span></div><div class='xr-var-dims'>(eta_psi, xi_psi)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(123, 150), meta=np.ndarray&gt;</div><input id='attrs-078a591e-0b80-4706-b9cf-cf9c6571195a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-078a591e-0b80-4706-b9cf-cf9c6571195a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e15b280-c010-4464-8c3d-6f0a9c1a2bd2' class='xr-var-data-in' type='checkbox'><label for='data-3e15b280-c010-4464-8c3d-6f0a9c1a2bd2' title='Show/Hide data repr'><svg 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>mask on psi-points</dd><dt><span>flag_values :</span></dt><dd>[0. 1.]</dd><dt><span>flag_meanings :</span></dt><dd>land water</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>node</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
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       "                        <td> 144.14 kiB </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp</span></div><div class='xr-var-dims'>(ocean_time, s_rho, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 20, 124, 151), meta=np.ndarray&gt;</div><input id='attrs-c52492d1-65ca-4c46-9a6e-e7c25f8532df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c52492d1-65ca-4c46-9a6e-e7c25f8532df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-325d19d3-9010-43ed-a98a-6f0335dfca33' class='xr-var-data-in' type='checkbox'><label for='data-325d19d3-9010-43ed-a98a-6f0335dfca33' title='Show/Hide data repr'><svg 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>potential temperature</dd><dt><span>units :</span></dt><dd>Celsius</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>temperature, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1  10 146 166]</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</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>salt</span></div><div class='xr-var-dims'>(ocean_time, s_rho, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 20, 124, 151), meta=np.ndarray&gt;</div><input id='attrs-b3f25dd7-331f-43cf-a7f2-df7f0ccd4000' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3f25dd7-331f-43cf-a7f2-df7f0ccd4000' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91efb1cf-4508-4116-8f06-40ffb9048d47' class='xr-var-data-in' type='checkbox'><label for='data-91efb1cf-4508-4116-8f06-40ffb9048d47' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>salinity</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>salinity, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1  10 146 166]</dd><dt><span>standard_name :</span></dt><dd>sea_water_practical_salinity</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>oxygen</span></div><div class='xr-var-dims'>(ocean_time, s_rho, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 20, 124, 151), meta=np.ndarray&gt;</div><input id='attrs-d00e762c-993d-4deb-9637-fa77c7c98428' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d00e762c-993d-4deb-9637-fa77c7c98428' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-470bb525-4b8b-431e-b4e1-30cbc25924ba' class='xr-var-data-in' type='checkbox'><label for='data-470bb525-4b8b-431e-b4e1-30cbc25924ba' title='Show/Hide data repr'><svg 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>dissolved oxygen concentration</dd><dt><span>units :</span></dt><dd>millimole_oxygen meter-3</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>Oxygen, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1  10 146 166]</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>Pair</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 124, 151), meta=np.ndarray&gt;</div><input id='attrs-75025d86-dd64-451b-9247-0ff1d7189e11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75025d86-dd64-451b-9247-0ff1d7189e11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95fd2b9f-fc92-4ec1-9fa5-47f1ec03e3b8' class='xr-var-data-in' type='checkbox'><label for='data-95fd2b9f-fc92-4ec1-9fa5-47f1ec03e3b8' title='Show/Hide data repr'><svg 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>surface air pressure</dd><dt><span>units :</span></dt><dd>millibar</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>Pair, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 291 332]</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>Uwind</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 124, 151), meta=np.ndarray&gt;</div><input id='attrs-988b2715-cbb1-426a-be6f-d9badd99a21f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-988b2715-cbb1-426a-be6f-d9badd99a21f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53d62e85-ec84-4116-a126-99124270e60e' class='xr-var-data-in' type='checkbox'><label for='data-53d62e85-ec84-4116-a126-99124270e60e' title='Show/Hide data repr'><svg 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>surface u-wind component</dd><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>u-wind, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 291 332]</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <th> Count </th>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-97645594-e5ec-4079-8bb8-71b52c852948' class='xr-section-summary-in' type='checkbox'  ><label for='section-97645594-e5ec-4079-8bb8-71b52c852948' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>file :</span></dt><dd>nos.cbofs.fields.nowcast.20220825.t12z_0002.nc</dd><dt><span>format :</span></dt><dd>netCDF-4/HDF5 file</dd><dt><span>Conventions :</span></dt><dd>CF-1.4, SGRID-0.3</dd><dt><span>type :</span></dt><dd>ROMS/TOMS history file</dd><dt><span>title :</span></dt><dd>cbofs nowcast RUN in operational mode</dd><dt><span>var_info :</span></dt><dd>varinfo.dat</dd><dt><span>rst_file :</span></dt><dd>nos.cbofs.rst.nowcast.20220825.t12z.nc</dd><dt><span>his_base :</span></dt><dd>nos.cbofs.fields.nowcast.20220825.t12z</dd><dt><span>sta_file :</span></dt><dd>nos.cbofs.stations.nowcast.20220825.t12z.nc</dd><dt><span>grd_file :</span></dt><dd>nos.cbofs.romsgrid.nc</dd><dt><span>ini_file :</span></dt><dd>nos.cbofs.init.nowcast.20220825.t12z.nc</dd><dt><span>tide_file :</span></dt><dd>nos.cbofs.roms.tides.nc</dd><dt><span>frc_file_01 :</span></dt><dd>nos.cbofs.met.nowcast.20220825.t12z.nc</dd><dt><span>frc_file_02 :</span></dt><dd>nos.cbofs.respirate.nc</dd><dt><span>bry_file_01 :</span></dt><dd>nos.cbofs.obc.20220825.t12z.nc</dd><dt><span>script_file :</span></dt><dd>cbofs_ROMS_nowcast.in</dd><dt><span>bpar_file :</span></dt><dd>nos.cbofs.bio.in</dd><dt><span>spos_file :</span></dt><dd>nos.cbofs.stations.in</dd><dt><span>NLM_TADV :</span></dt><dd>\n",
       "ADVECTION:   HORIZONTAL   VERTICAL     \n",
       "temp:        HSIMT        HSIMT        \n",
       "salt:        HSIMT        HSIMT        \n",
       "oxygen:      HSIMT        HSIMT</dd><dt><span>NLM_LBC :</span></dt><dd>\n",
       "EDGE:    WEST   SOUTH  EAST   NORTH  \n",
       "zeta:    Clo    Cha    Cha    Clo    \n",
       "ubar:    Clo    Fla    Fla    Clo    \n",
       "vbar:    Clo    Fla    Fla    Clo    \n",
       "u:       Clo    Rad    Rad    Clo    \n",
       "v:       Clo    Rad    Rad    Clo    \n",
       "temp:    Clo    RadNud RadNud Clo    \n",
       "salt:    Clo    RadNud RadNud Clo    \n",
       "oxygen:  Clo    RadNud RadNud Clo    \n",
       "tke:     Clo    Gra    Gra    Clo</dd><dt><span>svn_url :</span></dt><dd></dd><dt><span>svn_rev :</span></dt><dd></dd><dt><span>code_dir :</span></dt><dd>/lfs/h1/ops/prod/packages/nosofs.v3.4.2/sorc/ROMS.fd</dd><dt><span>header_dir :</span></dt><dd>/lfs/h1/ops/prod/packages/nosofs.v3.4.2/sorc/ROMS.fd/ROMS/Include</dd><dt><span>header_file :</span></dt><dd>cbofs.h</dd><dt><span>os :</span></dt><dd>Linux</dd><dt><span>cpu :</span></dt><dd>x86_64</dd><dt><span>compiler_system :</span></dt><dd>ftn-intel</dd><dt><span>compiler_command :</span></dt><dd>/opt/cray/pe/craype/2.7.10/bin/ftn</dd><dt><span>compiler_flags :</span></dt><dd>-fp-model precise -ip -O2</dd><dt><span>tiling :</span></dt><dd>008x016</dd><dt><span>history :</span></dt><dd>ROMS/TOMS, Version 3.9, Thursday - August 25, 2022 - 12:48:02 PM</dd><dt><span>ana_file :</span></dt><dd>ROMS/Functionals/ana_btflux.h, ROMS/Functionals/ana_rain.h, ROMS/Functionals/ana_stflux.h</dd><dt><span>CPP_options :</span></dt><dd>mode, ADD_FSOBC, ADD_M2OBC, ANA_BPFLUX, ANA_BSFLUX, ANA_BTFLUX, ANA_RAIN, ANA_SPFLUX, ANA_SSFLUX, ASSUMED_SHAPE, ATM_PRESS, !BOUNDARY_ALLGATHER, BULK_FLUXES, !COLLECT_ALL..., CURVGRID, DIFF_GRID, DJ_GRADPS, DOUBLE_PRECISION, EMINUSP, GLS_MIXING, HDF5, HYPOXIA_SRM, LIMIT_STFLX_COOLING, KANTHA_CLAYSON, LONGWAVE_OUT, MASKING, MIX_GEO_TS, MIX_S_UV, MPI, NONLINEAR, NONLIN_EOS, NO_LBC_ATT, N2S2_HORAVG, PERFECT_RESTART, POWER_LAW, PROFILE, K_GSCHEME, RADIATION_2D, REDUCE_ALLREDUCE, !RST_SINGLE, SALINITY, SOLAR_SOURCE, SOLVE3D, SSH_TIDES, STATIONS, SURFACE_DO_SATURATION, TS_DIF2, UV_ADV, UV_COR, UV_U3HADVECTION, UV_C4VADVECTION, UV_QDRAG, UV_TIDES, UV_VIS2, VAR_RHO_2D, VISC_GRID</dd><dt><span>bio_file :</span></dt><dd>ROMS/Nonlinear/Biology/hypoxia_srm.h</dd><dt><span>DODS_EXTRA.Unlimited_Dimension :</span></dt><dd>ocean_time</dd><dt><span>EXTRA_DIMENSION.N :</span></dt><dd>20</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:         (tracer: 3, boundary: 4, s_rho: 20, s_w: 21, eta_rho: 124,\n",
       "                     xi_rho: 151, eta_u: 124, xi_u: 150, eta_v: 123, xi_v: 151,\n",
       "                     eta_psi: 123, xi_psi: 150, ocean_time: 24)\n",
       "Coordinates: (12/19)\n",
       "  * s_rho           (s_rho) float64 -0.975 -0.925 -0.875 ... -0.075 -0.025\n",
       "  * s_w             (s_w) float64 -1.0 -0.95 -0.9 -0.85 ... -0.15 -0.1 -0.05 0.0\n",
       "    lon_rho         (eta_rho, xi_rho) float64 dask.array<chunksize=(124, 151), meta=np.ndarray>\n",
       "    lat_rho         (eta_rho, xi_rho) float64 dask.array<chunksize=(124, 151), meta=np.ndarray>\n",
       "    lon_u           (eta_u, xi_u) float64 dask.array<chunksize=(124, 150), meta=np.ndarray>\n",
       "    lat_u           (eta_u, xi_u) float64 dask.array<chunksize=(124, 150), meta=np.ndarray>\n",
       "    ...              ...\n",
       "  * xi_v            (xi_v) int64 181 182 183 184 185 186 ... 327 328 329 330 331\n",
       "  * xi_psi          (xi_psi) int64 181 182 183 184 185 ... 326 327 328 329 330\n",
       "  * eta_rho         (eta_rho) int64 3 4 5 6 7 8 9 ... 121 122 123 124 125 126\n",
       "  * eta_u           (eta_u) int64 3 4 5 6 7 8 9 ... 120 121 122 123 124 125 126\n",
       "  * eta_v           (eta_v) int64 3 4 5 6 7 8 9 ... 119 120 121 122 123 124 125\n",
       "  * eta_psi         (eta_psi) int64 3 4 5 6 7 8 9 ... 120 121 122 123 124 125\n",
       "Dimensions without coordinates: tracer, boundary\n",
       "Data variables: (12/97)\n",
       "    ntimes          int32 ...\n",
       "    ndtfast         int32 ...\n",
       "    dt              float64 ...\n",
       "    dtfast          float64 ...\n",
       "    dstart          datetime64[ns] ...\n",
       "    nHIS            int32 ...\n",
       "    ...              ...\n",
       "    temp            (ocean_time, s_rho, eta_rho, xi_rho) float32 dask.array<chunksize=(1, 20, 124, 151), meta=np.ndarray>\n",
       "    salt            (ocean_time, s_rho, eta_rho, xi_rho) float32 dask.array<chunksize=(1, 20, 124, 151), meta=np.ndarray>\n",
       "    oxygen          (ocean_time, s_rho, eta_rho, xi_rho) float32 dask.array<chunksize=(1, 20, 124, 151), meta=np.ndarray>\n",
       "    Pair            (ocean_time, eta_rho, xi_rho) float32 dask.array<chunksize=(1, 124, 151), meta=np.ndarray>\n",
       "    Uwind           (ocean_time, eta_rho, xi_rho) float32 dask.array<chunksize=(1, 124, 151), meta=np.ndarray>\n",
       "    Vwind           (ocean_time, eta_rho, xi_rho) float32 dask.array<chunksize=(1, 124, 151), meta=np.ndarray>\n",
       "Attributes: (12/37)\n",
       "    file:                            nos.cbofs.fields.nowcast.20220825.t12z_0...\n",
       "    format:                          netCDF-4/HDF5 file\n",
       "    Conventions:                     CF-1.4, SGRID-0.3\n",
       "    type:                            ROMS/TOMS history file\n",
       "    title:                           cbofs nowcast RUN in operational mode\n",
       "    var_info:                        varinfo.dat\n",
       "    ...                              ...\n",
       "    history:                         ROMS/TOMS, Version 3.9, Thursday - Augus...\n",
       "    ana_file:                        ROMS/Functionals/ana_btflux.h, ROMS/Func...\n",
       "    CPP_options:                     mode, ADD_FSOBC, ADD_M2OBC, ANA_BPFLUX, ...\n",
       "    bio_file:                        ROMS/Nonlinear/Biology/hypoxia_srm.h\n",
       "    DODS_EXTRA.Unlimited_Dimension:  ocean_time\n",
       "    EXTRA_DIMENSION.N:               20"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_cbofs_ss"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6fbb93ef-c18f-4dca-80c3-40da8a66e1a9",
   "metadata": {},
   "source": [
    "### 2. Rectilinear grid"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08aaf20b-b35f-438d-8641-1164ed87201f",
   "metadata": {},
   "source": [
    "#### Subset DataArray or Dataset to box (same as grid)\n",
    "\n",
    "All of these have the same essential function when the grid is rectilinear. The only difference is whether operating on the full Dataset or a DataArray."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "3b2831d8-6e9f-488e-8d7a-1bfb3aafffc4",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_cbofs_rg_ss = ds_cbofs_rg.em.sub_bbox(bbox=bbox_cbofs_rg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "03b50824-63be-44e2-86d6-78895dd37ede",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x1662cfeb0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_cbofs_rg_ss['zeta'].cf.isel(T=0).cf.plot(x='longitude', y='latitude')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "752cf17f-f65d-46ec-9e82-6843ebd9a8c0",
   "metadata": {},
   "source": [
    "### 3. Curvilinear, single horizontal grid"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e56559a-7003-4cd4-a06e-29693dff7fed",
   "metadata": {},
   "source": [
    "#### Subset DataArray or Dataset to box (same as grid)\n",
    "\n",
    "All of these also have the same essential function when there is only one horizontal grid. The only difference is whether operating on the full Dataset or a DataArray."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "8f0aa5a4-8345-453c-8c46-f9eeab8ab1e9",
   "metadata": {},
   "outputs": [
    {
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       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
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       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
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       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 24, ny: 7, nx: 21, sigma: 20)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 2022-08-25T11:00:14.062499968 ... 2022-0...\n",
       "    lon        (ny, nx) float32 dask.array&lt;chunksize=(7, 21), meta=np.ndarray&gt;\n",
       "    lat        (ny, nx) float32 dask.array&lt;chunksize=(7, 21), meta=np.ndarray&gt;\n",
       "  * sigma      (sigma) float32 0.0 0.0227 0.0454 0.0681 ... 0.8853 0.9534 1.0\n",
       "  * nx         (nx) int64 17 18 19 20 21 22 23 24 25 ... 30 31 32 33 34 35 36 37\n",
       "  * ny         (ny) int64 8 9 10 11 12 13 14\n",
       "Data variables:\n",
       "    validtime  (time, ny, nx) object dask.array&lt;chunksize=(1, 7, 21), meta=np.ndarray&gt;\n",
       "    mask       (ny, nx) float32 dask.array&lt;chunksize=(7, 21), meta=np.ndarray&gt;\n",
       "    depth      (ny, nx) float32 dask.array&lt;chunksize=(7, 21), meta=np.ndarray&gt;\n",
       "    zeta       (time, ny, nx) float32 dask.array&lt;chunksize=(1, 7, 21), meta=np.ndarray&gt;\n",
       "    air_u      (time, ny, nx) float32 dask.array&lt;chunksize=(1, 7, 21), meta=np.ndarray&gt;\n",
       "    air_v      (time, ny, nx) float32 dask.array&lt;chunksize=(1, 7, 21), meta=np.ndarray&gt;\n",
       "    u          (time, sigma, ny, nx) float32 dask.array&lt;chunksize=(1, 20, 7, 21), meta=np.ndarray&gt;\n",
       "    v          (time, sigma, ny, nx) float32 dask.array&lt;chunksize=(1, 20, 7, 21), meta=np.ndarray&gt;\n",
       "    temp       (time, sigma, ny, nx) float32 dask.array&lt;chunksize=(1, 20, 7, 21), meta=np.ndarray&gt;\n",
       "Attributes: (12/17)\n",
       "    datum1:                          reference to LWD=zeta\n",
       "    datum2:                          reference to IGLD85=zeta - IGLD85\n",
       "    file_type:                       Full_Grid\n",
       "    Conventions:                     COARDS\n",
       "    grid_type:                       rectilinear\n",
       "    z_type:                          2-D\n",
       "    ...                              ...\n",
       "    history:                         Operation-CO-OPS\n",
       "    references:                      greg.mott@noaa.gov\n",
       "    creation_date:                   2022-08-25 12:50:16  00:00\n",
       "    DODS.strlen:                     19\n",
       "    DODS.dimName:                    validtime_len\n",
       "    DODS_EXTRA.Unlimited_Dimension:  time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-40cfed85-8806-4e88-9320-8fd1b936c69d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-40cfed85-8806-4e88-9320-8fd1b936c69d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 24</li><li><span class='xr-has-index'>ny</span>: 7</li><li><span class='xr-has-index'>nx</span>: 21</li><li><span class='xr-has-index'>sigma</span>: 20</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-75cbd796-da81-4d85-9e65-b5a589b4d512' class='xr-section-summary-in' type='checkbox'  checked><label for='section-75cbd796-da81-4d85-9e65-b5a589b4d512' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-08-25T11:00:14.062499968 .....</div><input id='attrs-d683d205-75ca-4780-b02e-31c9ee05c5a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d683d205-75ca-4780-b02e-31c9ee05c5a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df4e40bb-3d07-4aa9-85e6-0ed75e8fba81' class='xr-var-data-in' type='checkbox'><label for='data-df4e40bb-3d07-4aa9-85e6-0ed75e8fba81' title='Show/Hide data repr'><svg 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>base_date :</span></dt><dd>[2006    1    1    0]</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-08-25T11:00:14.062499968&#x27;, &#x27;2022-08-25T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T12:59:45.937500032&#x27;, &#x27;2022-08-25T14:00:14.062499968&#x27;,\n",
       "       &#x27;2022-08-25T15:00:00.000000000&#x27;, &#x27;2022-08-25T15:59:45.937500032&#x27;,\n",
       "       &#x27;2022-08-25T17:00:14.062499968&#x27;, &#x27;2022-08-25T18:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T18:59:45.937500032&#x27;, &#x27;2022-08-25T20:00:14.062499968&#x27;,\n",
       "       &#x27;2022-08-25T21:00:00.000000000&#x27;, &#x27;2022-08-25T21:59:45.937500032&#x27;,\n",
       "       &#x27;2022-08-25T23:00:14.062499968&#x27;, &#x27;2022-08-26T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-26T00:59:45.937500032&#x27;, &#x27;2022-08-26T02:00:14.062499968&#x27;,\n",
       "       &#x27;2022-08-26T03:00:00.000000000&#x27;, &#x27;2022-08-26T03:59:45.937500032&#x27;,\n",
       "       &#x27;2022-08-26T05:00:14.062499968&#x27;, &#x27;2022-08-26T06:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-26T06:59:45.937500032&#x27;, &#x27;2022-08-26T08:00:14.062499968&#x27;,\n",
       "       &#x27;2022-08-26T09:00:00.000000000&#x27;, &#x27;2022-08-26T09:59:45.937500032&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(7, 21), meta=np.ndarray&gt;</div><input id='attrs-ea9f4f32-d6c7-4593-abd9-f92ed259368c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea9f4f32-d6c7-4593-abd9-f92ed259368c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86631cab-fa17-4e16-883a-a5f4e52aeab4' class='xr-var-data-in' type='checkbox'><label for='data-86631cab-fa17-4e16-883a-a5f4e52aeab4' title='Show/Hide data repr'><svg 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</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 588 B </td>\n",
       "                        <td> 588 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (7, 21) </td>\n",
       "                        <td> (7, 21) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 5 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(7, 21), meta=np.ndarray&gt;</div><input id='attrs-3e6cb888-946b-4c28-a30f-4e314f02fe54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e6cb888-946b-4c28-a30f-4e314f02fe54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99715ed4-b85a-4c40-ad98-bcfa88e04e5c' class='xr-var-data-in' type='checkbox'><label for='data-99715ed4-b85a-4c40-ad98-bcfa88e04e5c' title='Show/Hide data repr'><svg 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</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
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       "                        <td> 588 B </td>\n",
       "                        <td> 588 B </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (7, 21) </td>\n",
       "                        <td> (7, 21) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 5 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>sigma</span></div><div class='xr-var-dims'>(sigma)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0227 0.0454 ... 0.9534 1.0</div><input id='attrs-d54ca9b2-f168-43c5-84c0-0e78e23248dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d54ca9b2-f168-43c5-84c0-0e78e23248dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9f88e0f-55f8-48eb-88d5-67474f85f70f' class='xr-var-data-in' type='checkbox'><label for='data-f9f88e0f-55f8-48eb-88d5-67474f85f70f' title='Show/Hide data repr'><svg 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>Sigma Stretched Vertical Coordinate at Nodes</dd><dt><span>units :</span></dt><dd>sigma_level</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>ocean_sigma_coordinate</dd><dt><span>formula_terms :</span></dt><dd>sigma: sigma eta: zeta depth: depth</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([0.    , 0.0227, 0.0454, 0.0681, 0.0908, 0.1135, 0.1362, 0.1589, 0.1816,\n",
       "       0.2043, 0.227 , 0.2724, 0.3405, 0.4313, 0.5448, 0.681 , 0.7945, 0.8853,\n",
       "       0.9534, 1.    ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>nx</span></div><div class='xr-var-dims'>(nx)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>17 18 19 20 21 ... 33 34 35 36 37</div><input id='attrs-c0b2055b-2989-4f90-a29e-34a5451de438' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0b2055b-2989-4f90-a29e-34a5451de438' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ba5740f-dcc4-4fcc-9047-88f99d55c18e' class='xr-var-data-in' type='checkbox'><label for='data-2ba5740f-dcc4-4fcc-9047-88f99d55c18e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34,\n",
       "       35, 36, 37])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ny</span></div><div class='xr-var-dims'>(ny)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8 9 10 11 12 13 14</div><input id='attrs-60bd1017-bd3f-4c41-9eec-a2747ad93c07' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60bd1017-bd3f-4c41-9eec-a2747ad93c07' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03fda871-df2d-48aa-8c1b-4a90764882c7' class='xr-var-data-in' type='checkbox'><label for='data-03fda871-df2d-48aa-8c1b-4a90764882c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([ 8,  9, 10, 11, 12, 13, 14])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-360d2273-795b-4f25-b395-625728760c66' class='xr-section-summary-in' type='checkbox'  checked><label for='section-360d2273-795b-4f25-b395-625728760c66' class='xr-section-summary' >Data variables: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>validtime</span></div><div class='xr-var-dims'>(time, ny, nx)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 7, 21), meta=np.ndarray&gt;</div><input id='attrs-a41b10f1-0848-478b-ae6a-2b015277f1d1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a41b10f1-0848-478b-ae6a-2b015277f1d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91c1cdae-18a2-412c-8b80-d412432536ce' class='xr-var-data-in' type='checkbox'><label for='data-91c1cdae-18a2-412c-8b80-d412432536ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 27.56 kiB </td>\n",
       "                        <td> 1.15 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (24, 7, 21) </td>\n",
       "                        <td> (1, 7, 21) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 231 Tasks </td>\n",
       "                        <td> 24 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> object </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "            </table>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(7, 21), meta=np.ndarray&gt;</div><input id='attrs-1f0b0740-2b32-4549-a752-0f2f700c90e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f0b0740-2b32-4549-a752-0f2f700c90e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46abecb8-bec7-4447-88ee-3aaf7b847ecf' class='xr-var-data-in' type='checkbox'><label for='data-46abecb8-bec7-4447-88ee-3aaf7b847ecf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Land Mask</dd><dt><span>units :</span></dt><dd>nondimensional</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 588 B </td>\n",
       "                        <td> 588 B </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (7, 21) </td>\n",
       "                        <td> (7, 21) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 7 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>depth</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(7, 21), meta=np.ndarray&gt;</div><input id='attrs-4201d313-d68d-442a-9199-acdfeb4e0539' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4201d313-d68d-442a-9199-acdfeb4e0539' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e34bfeee-d013-4279-ba8c-3aa84ea1b4d8' class='xr-var-data-in' type='checkbox'><label for='data-e34bfeee-d013-4279-ba8c-3aa84ea1b4d8' title='Show/Hide data repr'><svg 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>Bathymetry</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>sea_floor_depth</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 588 B </td>\n",
       "                        <td> 588 B </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (7, 21) </td>\n",
       "                        <td> (7, 21) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 7 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
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       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zeta</span></div><div class='xr-var-dims'>(time, ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 7, 21), meta=np.ndarray&gt;</div><input id='attrs-1ee9c80e-e7b6-41b3-8d31-e2c2408f2d4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ee9c80e-e7b6-41b3-8d31-e2c2408f2d4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cb1149a-fb83-46b0-9105-fbdbb7c01134' class='xr-var-data-in' type='checkbox'><label for='data-6cb1149a-fb83-46b0-9105-fbdbb7c01134' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>reference :</span></dt><dd>model_sea_level</dd><dt><span>long_name :</span></dt><dd>Height Above Model Sea Level</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>sea_surface_elevation</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
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       "                    <th> Type </th>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-7ec17535-a8d7-4091-8c26-c2b9b5ddcc59' class='xr-section-summary-in' type='checkbox'  ><label for='section-7ec17535-a8d7-4091-8c26-c2b9b5ddcc59' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>datum1 :</span></dt><dd>reference to LWD=zeta</dd><dt><span>datum2 :</span></dt><dd>reference to IGLD85=zeta - IGLD85</dd><dt><span>file_type :</span></dt><dd>Full_Grid</dd><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>grid_type :</span></dt><dd>rectilinear</dd><dt><span>z_type :</span></dt><dd>2-D</dd><dt><span>model :</span></dt><dd>POMGL</dd><dt><span>title :</span></dt><dd>ofs4:/comf/operations/ohms</dd><dt><span>comment :</span></dt><dd>Linux</dd><dt><span>source :</span></dt><dd>current,zeta,temp,wind</dd><dt><span>institution :</span></dt><dd>NOAA/NOS/CO-OPS</dd><dt><span>history :</span></dt><dd>Operation-CO-OPS</dd><dt><span>references :</span></dt><dd>greg.mott@noaa.gov</dd><dt><span>creation_date :</span></dt><dd>2022-08-25 12:50:16  00:00</dd><dt><span>DODS.strlen :</span></dt><dd>19</dd><dt><span>DODS.dimName :</span></dt><dd>validtime_len</dd><dt><span>DODS_EXTRA.Unlimited_Dimension :</span></dt><dd>time</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 24, ny: 7, nx: 21, sigma: 20)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 2022-08-25T11:00:14.062499968 ... 2022-0...\n",
       "    lon        (ny, nx) float32 dask.array<chunksize=(7, 21), meta=np.ndarray>\n",
       "    lat        (ny, nx) float32 dask.array<chunksize=(7, 21), meta=np.ndarray>\n",
       "  * sigma      (sigma) float32 0.0 0.0227 0.0454 0.0681 ... 0.8853 0.9534 1.0\n",
       "  * nx         (nx) int64 17 18 19 20 21 22 23 24 25 ... 30 31 32 33 34 35 36 37\n",
       "  * ny         (ny) int64 8 9 10 11 12 13 14\n",
       "Data variables:\n",
       "    validtime  (time, ny, nx) object dask.array<chunksize=(1, 7, 21), meta=np.ndarray>\n",
       "    mask       (ny, nx) float32 dask.array<chunksize=(7, 21), meta=np.ndarray>\n",
       "    depth      (ny, nx) float32 dask.array<chunksize=(7, 21), meta=np.ndarray>\n",
       "    zeta       (time, ny, nx) float32 dask.array<chunksize=(1, 7, 21), meta=np.ndarray>\n",
       "    air_u      (time, ny, nx) float32 dask.array<chunksize=(1, 7, 21), meta=np.ndarray>\n",
       "    air_v      (time, ny, nx) float32 dask.array<chunksize=(1, 7, 21), meta=np.ndarray>\n",
       "    u          (time, sigma, ny, nx) float32 dask.array<chunksize=(1, 20, 7, 21), meta=np.ndarray>\n",
       "    v          (time, sigma, ny, nx) float32 dask.array<chunksize=(1, 20, 7, 21), meta=np.ndarray>\n",
       "    temp       (time, sigma, ny, nx) float32 dask.array<chunksize=(1, 20, 7, 21), meta=np.ndarray>\n",
       "Attributes: (12/17)\n",
       "    datum1:                          reference to LWD=zeta\n",
       "    datum2:                          reference to IGLD85=zeta - IGLD85\n",
       "    file_type:                       Full_Grid\n",
       "    Conventions:                     COARDS\n",
       "    grid_type:                       rectilinear\n",
       "    z_type:                          2-D\n",
       "    ...                              ...\n",
       "    history:                         Operation-CO-OPS\n",
       "    references:                      greg.mott@noaa.gov\n",
       "    creation_date:                   2022-08-25 12:50:16  00:00\n",
       "    DODS.strlen:                     19\n",
       "    DODS.dimName:                    validtime_len\n",
       "    DODS_EXTRA.Unlimited_Dimension:  time"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_loofs_ss = ds_loofs.em.sub_grid(bbox=bbox_loofs)\n",
    "ds_loofs_ss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "0018b2e5-20dd-4fe3-935f-aa9cf345e5ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x1660c55e0>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_loofs_ss['zeta'].cf.isel(T=10).cf.plot(x='longitude', y='latitude')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70967ed5-9a78-432a-a289-015f542a223f",
   "metadata": {},
   "source": [
    "### 4. Unstructured grid"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18a26411-3681-4c19-ad0b-2575502447f7",
   "metadata": {},
   "source": [
    "#### Subset DataArray or Dataset to box (same as grid)\n",
    "\n",
    "All of these also have the same essential function when there is only one horizontal grid. The only difference is whether operating on the full Dataset or a DataArray."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "03af3682-cf1d-42f8-9abf-a3bfdb64b9e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:             (nele: 30734, node: 16604, time: 8, four: 4, three: 3,\n",
       "                         siglay: 40, siglev: 41, maxnode: 10, maxelem: 8)\n",
       "Coordinates:\n",
       "    lonc                (nele) float32 dask.array&lt;chunksize=(30734,), meta=np.ndarray&gt;\n",
       "    latc                (nele) float32 dask.array&lt;chunksize=(30734,), meta=np.ndarray&gt;\n",
       "    lon                 (node) float32 dask.array&lt;chunksize=(16604,), meta=np.ndarray&gt;\n",
       "    lat                 (node) float32 dask.array&lt;chunksize=(16604,), meta=np.ndarray&gt;\n",
       "  * time                (time) datetime64[ns] 2022-08-25T12:00:00 ... 2022-08...\n",
       "    sigma_levels        (siglev, node) float32 dask.array&lt;chunksize=(41, 16604), meta=np.ndarray&gt;\n",
       "    sigma_layers        (siglay, node) float32 dask.array&lt;chunksize=(40, 16604), meta=np.ndarray&gt;\n",
       "Dimensions without coordinates: nele, node, four, three, siglay, siglev,\n",
       "                                maxnode, maxelem\n",
       "Data variables: (12/38)\n",
       "    nprocs              int32 756\n",
       "    partition           (nele) int32 dask.array&lt;chunksize=(30734,), meta=np.ndarray&gt;\n",
       "    x                   (node) float32 dask.array&lt;chunksize=(16604,), meta=np.ndarray&gt;\n",
       "    y                   (node) float32 dask.array&lt;chunksize=(16604,), meta=np.ndarray&gt;\n",
       "    xc                  (nele) float32 dask.array&lt;chunksize=(30734,), meta=np.ndarray&gt;\n",
       "    yc                  (nele) float32 dask.array&lt;chunksize=(30734,), meta=np.ndarray&gt;\n",
       "    ...                  ...\n",
       "    nv                  (three, nele) int64 7 7 8 3 ... 16603 16603 16598 16599\n",
       "    nbe                 (three, nele) int64 0 0 2 3 15 ... 30730 30733 30734 0\n",
       "    nbsn                (maxnode, node) int32 0 0 0 0 0 0 1 2 ... 0 0 0 0 0 0 0\n",
       "    ntsn                (node) int32 3 4 5 4 3 3 7 7 6 7 ... 6 6 7 7 6 6 5 5 5 6\n",
       "    nbve                (maxelem, node) int32 0 0 0 0 0 0 1 3 ... 0 0 0 0 0 0 0\n",
       "    ntve                (node) int32 2 3 4 3 2 2 7 7 6 7 ... 3 3 4 7 6 3 2 2 2 3\n",
       "Attributes: (12/17)\n",
       "    title:                           NGOFS2\n",
       "    institution:                     School for Marine Science and Technology\n",
       "    source:                          FVCOM_4.3\n",
       "    history:                         model started at: 25/08/2022   09:05\n",
       "    references:                      http://fvcom.smast.umassd.edu, http://co...\n",
       "    Conventions:                     CF-1.0\n",
       "    ...                              ...\n",
       "    Surface_Heat_Forcing:            FVCOM variable surface heat forcing file...\n",
       "    Surface_Wind_Forcing:            FVCOM variable surface Wind forcing:\\nFI...\n",
       "    Surface_PrecipEvap_Forcing:      SURFACE PRECIPITATION FORCING IS OFF\n",
       "    DODS.strlen:                     26\n",
       "    DODS.dimName:                    DateStrLen\n",
       "    DODS_EXTRA.Unlimited_Dimension:  time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-73491c3f-cd5c-4d81-8c4a-f55b3f32b145' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-73491c3f-cd5c-4d81-8c4a-f55b3f32b145' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>nele</span>: 30734</li><li><span>node</span>: 16604</li><li><span class='xr-has-index'>time</span>: 8</li><li><span>four</span>: 4</li><li><span>three</span>: 3</li><li><span>siglay</span>: 40</li><li><span>siglev</span>: 41</li><li><span>maxnode</span>: 10</li><li><span>maxelem</span>: 8</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-49f93c71-e4bb-4ca3-9257-c471afd7911c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-49f93c71-e4bb-4ca3-9257-c471afd7911c' class='xr-section-summary' >Coordinates: <span>(7)</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>lonc</span></div><div class='xr-var-dims'>(nele)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(30734,), meta=np.ndarray&gt;</div><input id='attrs-efed23f7-faa9-4e98-b6b1-48bcc1e3166c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efed23f7-faa9-4e98-b6b1-48bcc1e3166c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-030532c0-b5a1-4de1-8cd1-5236f14ed3e1' class='xr-var-data-in' type='checkbox'><label for='data-030532c0-b5a1-4de1-8cd1-5236f14ed3e1' title='Show/Hide data repr'><svg 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>zonal longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> 120.05 kiB </td>\n",
       "                        <td> 120.05 kiB </td>\n",
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       "                        <td> (30734,) </td>\n",
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       "                        <td> 1 Chunks </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latc</span></div><div class='xr-var-dims'>(nele)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(30734,), meta=np.ndarray&gt;</div><input id='attrs-07244bea-9d9e-40a0-b926-862790b27797' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07244bea-9d9e-40a0-b926-862790b27797' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0898fe6-6fe7-419d-a4be-a4ccd5bd7bcf' class='xr-var-data-in' type='checkbox'><label for='data-e0898fe6-6fe7-419d-a4be-a4ccd5bd7bcf' title='Show/Hide data repr'><svg 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>zonal latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> 120.05 kiB </td>\n",
       "                        <td> 120.05 kiB </td>\n",
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       "                        <td> 3 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(node)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(16604,), meta=np.ndarray&gt;</div><input id='attrs-27267b3a-a1ad-4945-bb77-a66544d6d630' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27267b3a-a1ad-4945-bb77-a66544d6d630' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dcb6aa76-bf09-4cb6-b367-d1e43e74ef50' class='xr-var-data-in' type='checkbox'><label for='data-dcb6aa76-bf09-4cb6-b367-d1e43e74ef50' title='Show/Hide data repr'><svg 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>nodal longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</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>lat</span></div><div class='xr-var-dims'>(node)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(16604,), meta=np.ndarray&gt;</div><input id='attrs-e7ae4146-2c9d-4289-99f6-125ee2069c6d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7ae4146-2c9d-4289-99f6-125ee2069c6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2966d747-1a42-4775-99d6-119e47e33a1b' class='xr-var-data-in' type='checkbox'><label for='data-2966d747-1a42-4775-99d6-119e47e33a1b' title='Show/Hide data repr'><svg 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>nodal latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <th> Type </th>\n",
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       "</table></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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-08-25T12:00:00 ... 2022-08-...</div><input id='attrs-a8098cea-142a-4994-9fc9-6dcd36ee2971' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a8098cea-142a-4994-9fc9-6dcd36ee2971' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25a827da-17ef-465f-9b7e-6f87d74e7a40' class='xr-var-data-in' type='checkbox'><label for='data-25a827da-17ef-465f-9b7e-6f87d74e7a40' title='Show/Hide data repr'><svg 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>format :</span></dt><dd>defined reference date</dd><dt><span>time_zone :</span></dt><dd>UTC</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-08-25T12:00:00.000000000&#x27;, &#x27;2022-08-25T15:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T18:00:00.000000000&#x27;, &#x27;2022-08-25T21:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-26T00:00:00.000000000&#x27;, &#x27;2022-08-26T03:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-26T06:00:00.000000000&#x27;, &#x27;2022-08-26T09:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sigma_levels</span></div><div class='xr-var-dims'>(siglev, node)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(41, 16604), meta=np.ndarray&gt;</div><input id='attrs-d90c40ca-82df-4953-b903-1487e0dd33b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d90c40ca-82df-4953-b903-1487e0dd33b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e79bcd5e-a240-4039-a2ef-657b9f3c067a' class='xr-var-data-in' type='checkbox'><label for='data-e79bcd5e-a240-4039-a2ef-657b9f3c067a' title='Show/Hide data repr'><svg 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>Sigma Levels</dd><dt><span>standard_name :</span></dt><dd>ocean_sigma_coordinate</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>formula_terms :</span></dt><dd>sigma: sigma_levels eta: zeta depth: h</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <th> Type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sigma_layers</span></div><div class='xr-var-dims'>(siglay, node)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(40, 16604), meta=np.ndarray&gt;</div><input id='attrs-a56fe718-12ca-4393-a1e8-0f32c5561088' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a56fe718-12ca-4393-a1e8-0f32c5561088' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-036657c7-0735-4a55-a83f-2a7362533ee8' class='xr-var-data-in' type='checkbox'><label for='data-036657c7-0735-4a55-a83f-2a7362533ee8' title='Show/Hide data repr'><svg 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>Sigma Layers</dd><dt><span>standard_name :</span></dt><dd>ocean_sigma_coordinate</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>formula_terms :</span></dt><dd>sigma: sigma_layers eta: zeta depth: h</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-2e16d8f5-d42b-4892-96cf-8370eb7b13a7' class='xr-section-summary-in' type='checkbox'  ><label for='section-2e16d8f5-d42b-4892-96cf-8370eb7b13a7' class='xr-section-summary' >Data variables: <span>(38)</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>nprocs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>756</div><input id='attrs-51b0413a-49af-4dc2-835b-8f0892eb2d2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51b0413a-49af-4dc2-835b-8f0892eb2d2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15c46b36-35fa-4757-a3eb-36cfd811b7b8' class='xr-var-data-in' type='checkbox'><label for='data-15c46b36-35fa-4757-a3eb-36cfd811b7b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of processors</dd></dl></div><div class='xr-var-data'><pre>array(756, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>partition</span></div><div class='xr-var-dims'>(nele)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(30734,), meta=np.ndarray&gt;</div><input id='attrs-f08e53f6-62ef-4293-946a-1884b7066638' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f08e53f6-62ef-4293-946a-1884b7066638' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0111dad3-d974-43d2-8b6a-233da90772e0' class='xr-var-data-in' type='checkbox'><label for='data-0111dad3-d974-43d2-8b6a-233da90772e0' title='Show/Hide data repr'><svg 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>partition</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 120.05 kiB </td>\n",
       "                        <td> 120.05 kiB </td>\n",
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       "                    <tr>\n",
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       "                        <td> (30734,) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 3 Tasks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> int32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>(node)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(16604,), meta=np.ndarray&gt;</div><input id='attrs-01a56b42-10d1-4d91-bcca-24ce32d47daf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01a56b42-10d1-4d91-bcca-24ce32d47daf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72517d28-4fbc-4a3b-a7c2-f1790ecbea43' class='xr-var-data-in' type='checkbox'><label for='data-72517d28-4fbc-4a3b-a7c2-f1790ecbea43' title='Show/Hide data repr'><svg 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>nodal x-coordinate</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> 64.86 kiB </td>\n",
       "                        <td> 64.86 kiB </td>\n",
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       "                        <td> (16604,) </td>\n",
       "                        <td> (16604,) </td>\n",
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       "                        <td> 3 Tasks </td>\n",
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       "                    <th> Type </th>\n",
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       "                        <td> 64.86 kiB </td>\n",
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       "                        <td> (16604,) </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xc</span></div><div class='xr-var-dims'>(nele)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(30734,), meta=np.ndarray&gt;</div><input id='attrs-a0c9f3f3-3f06-4e79-8980-a346a332c876' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0c9f3f3-3f06-4e79-8980-a346a332c876' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7571b2bb-1bfb-46de-a2dc-1fd06d57c9e3' class='xr-var-data-in' type='checkbox'><label for='data-7571b2bb-1bfb-46de-a2dc-1fd06d57c9e3' title='Show/Hide data repr'><svg 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>zonal x-coordinate</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> (30734,) </td>\n",
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       "                        <td> 3 Tasks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
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       "                        <td> 120.05 kiB </td>\n",
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       "                    <th> Type </th>\n",
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       "                    <td> numpy.ndarray </td>\n",
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       "                        <td> 8 Chunks </td>\n",
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       "                        <td> 8 Chunks </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a1u</span></div><div class='xr-var-dims'>(four, nele)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4, 30734), meta=np.ndarray&gt;</div><input id='attrs-34a4fcad-8489-446a-8e32-b2a532db0c14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34a4fcad-8489-446a-8e32-b2a532db0c14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27cf5241-f981-440b-bbe0-8c255d36da42' class='xr-var-data-in' type='checkbox'><label for='data-27cf5241-f981-440b-bbe0-8c255d36da42' title='Show/Hide data repr'><svg 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>a1u</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> 480.22 kiB </td>\n",
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       "                        <td> (4, 30734) </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uwind_speed</span></div><div class='xr-var-dims'>(time, nele)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 30734), meta=np.ndarray&gt;</div><input id='attrs-c3cb2b3f-ad65-4143-bcd7-c1b816c7b713' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3cb2b3f-ad65-4143-bcd7-c1b816c7b713' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b6baf6e-4f6c-4408-81b9-58632aff6ece' class='xr-var-data-in' type='checkbox'><label for='data-8b6baf6e-4f6c-4408-81b9-58632aff6ece' title='Show/Hide data repr'><svg 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>Eastward Wind Velocity</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>meters s-1</dd><dt><span>grid :</span></dt><dd>fvcom_grid</dd><dt><span>type :</span></dt><dd>data</dd><dt><span>mesh :</span></dt><dd>fvcom_mesh</dd><dt><span>location :</span></dt><dd>face</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vwind_speed</span></div><div class='xr-var-dims'>(time, nele)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 30734), meta=np.ndarray&gt;</div><input id='attrs-192f85a4-3574-4b32-b4b1-d551cff9eeba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-192f85a4-3574-4b32-b4b1-d551cff9eeba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5753c813-8214-475d-881f-2d0979741027' class='xr-var-data-in' type='checkbox'><label for='data-5753c813-8214-475d-881f-2d0979741027' title='Show/Hide data repr'><svg 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>Northward Wind Velocity</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>meters s-1</dd><dt><span>grid :</span></dt><dd>fvcom_grid</dd><dt><span>type :</span></dt><dd>data</dd><dt><span>mesh :</span></dt><dd>fvcom_mesh</dd><dt><span>location :</span></dt><dd>face</dd></dl></div><div class='xr-var-data'><table>\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>wet_nodes_prev_int</span></div><div class='xr-var-dims'>(time, node)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 16604), meta=np.ndarray&gt;</div><input id='attrs-aadd4440-3aef-4d83-b46c-fe160ed32f60' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aadd4440-3aef-4d83-b46c-fe160ed32f60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1507d61-db8e-4641-913d-b06e11811bb7' class='xr-var-data-in' type='checkbox'><label for='data-e1507d61-db8e-4641-913d-b06e11811bb7' title='Show/Hide data repr'><svg 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>Wet_Nodes_At_Previous_Internal_Step</dd><dt><span>grid :</span></dt><dd>fvcom_grid</dd><dt><span>type :</span></dt><dd>data</dd><dt><span>mesh :</span></dt><dd>fvcom_mesh</dd><dt><span>location :</span></dt><dd>node</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 518.88 kiB </td>\n",
       "                        <td> 64.86 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (8, 16604) </td>\n",
       "                        <td> (1, 16604) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 73 Tasks </td>\n",
       "                        <td> 8 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> int32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wet_cells_prev_int</span></div><div class='xr-var-dims'>(time, nele)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 30734), meta=np.ndarray&gt;</div><input id='attrs-bda6c7a8-5848-4c15-a660-61a51a517bb0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bda6c7a8-5848-4c15-a660-61a51a517bb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6398880b-f045-4b20-a896-c3acc4b70440' class='xr-var-data-in' type='checkbox'><label for='data-6398880b-f045-4b20-a896-c3acc4b70440' title='Show/Hide data repr'><svg 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>Wet_Cells_At_Previous_Internal_Step</dd><dt><span>grid :</span></dt><dd>fvcom_grid</dd><dt><span>type :</span></dt><dd>data</dd><dt><span>mesh :</span></dt><dd>fvcom_mesh</dd><dt><span>location :</span></dt><dd>face</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 0.94 MiB </td>\n",
       "                        <td> 120.05 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (8, 30734) </td>\n",
       "                        <td> (1, 30734) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 73 Tasks </td>\n",
       "                        <td> 8 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> int32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "\n",
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       "\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>wet_cells_prev_ext</span></div><div class='xr-var-dims'>(time, nele)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 30734), meta=np.ndarray&gt;</div><input id='attrs-385c945c-7ca3-4e07-8fa5-ecd86bfcfa7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-385c945c-7ca3-4e07-8fa5-ecd86bfcfa7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fde99714-e2a6-449e-b13d-8a15ca145dc0' class='xr-var-data-in' type='checkbox'><label for='data-fde99714-e2a6-449e-b13d-8a15ca145dc0' title='Show/Hide data repr'><svg 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>Wet_Cells_At_Previous_External_Step</dd><dt><span>grid :</span></dt><dd>fvcom_grid</dd><dt><span>type :</span></dt><dd>data</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 0.94 MiB </td>\n",
       "                        <td> 120.05 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (8, 30734) </td>\n",
       "                        <td> (1, 30734) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 73 Tasks </td>\n",
       "                        <td> 8 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> int32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "  <line x1=\"0\" y1=\"15\" x2=\"120\" y2=\"15\" />\n",
       "  <line x1=\"0\" y1=\"19\" x2=\"120\" y2=\"19\" />\n",
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       "  <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >30734</text>\n",
       "  <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">8</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nv</span></div><div class='xr-var-dims'>(three, nele)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>7 7 8 3 ... 16603 16603 16598 16599</div><input id='attrs-ea3b012f-e4f4-435b-b4bb-9b39290e015e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea3b012f-e4f4-435b-b4bb-9b39290e015e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80c3cdab-ca6c-4f1f-be37-841b3797167f' class='xr-var-data-in' type='checkbox'><label for='data-80c3cdab-ca6c-4f1f-be37-841b3797167f' title='Show/Hide data repr'><svg 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>nodes surrounding element</dd></dl></div><div class='xr-var-data'><pre>array([[    7,     7,     8, ..., 16604, 16604, 16604],\n",
       "       [    1,     2,     2, ..., 16598, 16599, 16600],\n",
       "       [    6,     1,     7, ..., 16603, 16598, 16599]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbe</span></div><div class='xr-var-dims'>(three, nele)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0 2 3 15 ... 30730 30733 30734 0</div><input id='attrs-7f7822b8-bfa2-4d7c-a840-e1601b65c165' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f7822b8-bfa2-4d7c-a840-e1601b65c165' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7432c9e8-8ef0-4e97-8589-b35b2a887701' class='xr-var-data-in' type='checkbox'><label for='data-7432c9e8-8ef0-4e97-8589-b35b2a887701' title='Show/Hide data repr'><svg 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>elements surrounding each element</dd></dl></div><div class='xr-var-data'><pre>array([[    0,     0,     2, ..., 30731, 30724, 30726],\n",
       "       [   11,     1,    13, ...,     0, 30732, 30733],\n",
       "       [    2,     3,     4, ..., 30733, 30734,     0]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbsn</span></div><div class='xr-var-dims'>(maxnode, node)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 1 2 ... 0 0 0 0 0 0 0 0</div><input id='attrs-84b44d2b-0db0-47c6-952b-cc463699f274' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84b44d2b-0db0-47c6-952b-cc463699f274' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f853377a-9fb8-431c-a4b1-9e099e9cb016' class='xr-var-data-in' type='checkbox'><label for='data-f853377a-9fb8-431c-a4b1-9e099e9cb016' title='Show/Hide data repr'><svg 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>nodes surrounding each node</dd></dl></div><div class='xr-var-data'><pre>array([[    0,     0,     0, ..., 16602, 16603, 16604],\n",
       "       [    0,     1,     2, ..., 16603, 16604, 16600],\n",
       "       [    6,     7,     8, ..., 16598, 16598, 16599],\n",
       "       ...,\n",
       "       [    0,     0,     0, ...,     0,     0,     0],\n",
       "       [    0,     0,     0, ...,     0,     0,     0],\n",
       "       [    0,     0,     0, ...,     0,     0,     0]], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ntsn</span></div><div class='xr-var-dims'>(node)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>3 4 5 4 3 3 7 7 ... 7 7 6 6 5 5 5 6</div><input id='attrs-04d0bc55-c50c-4adc-9277-50b9797f5646' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04d0bc55-c50c-4adc-9277-50b9797f5646' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea246774-674b-4766-9a73-9a17180454fe' class='xr-var-data-in' type='checkbox'><label for='data-ea246774-674b-4766-9a73-9a17180454fe' title='Show/Hide data repr'><svg 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>#nodes surrounding each node</dd></dl></div><div class='xr-var-data'><pre>array([3, 4, 5, ..., 5, 5, 6], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbve</span></div><div class='xr-var-dims'>(maxelem, node)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 1 3 ... 0 0 0 0 0 0 0 0</div><input id='attrs-44111f82-e0f5-4e12-99a2-e09c30f9f9c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44111f82-e0f5-4e12-99a2-e09c30f9f9c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11d469bc-fc90-4ea8-984a-c9d756392706' class='xr-var-data-in' type='checkbox'><label for='data-11d469bc-fc90-4ea8-984a-c9d756392706' title='Show/Hide data repr'><svg 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>elems surrounding each node</dd></dl></div><div class='xr-var-data'><pre>array([[    0,     0,     0, ..., 30731, 30732, 30734],\n",
       "       [    0,     2,     4, ..., 30730, 30731, 30733],\n",
       "       [    1,     3,     5, ...,     0,     0, 30732],\n",
       "       ...,\n",
       "       [    0,     0,     0, ...,     0,     0,     0],\n",
       "       [    0,     0,     0, ...,     0,     0,     0],\n",
       "       [    0,     0,     0, ...,     0,     0,     0]], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ntve</span></div><div class='xr-var-dims'>(node)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>2 3 4 3 2 2 7 7 ... 4 7 6 3 2 2 2 3</div><input id='attrs-9904b745-4dd0-4b90-9fed-9cba68deadf0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9904b745-4dd0-4b90-9fed-9cba68deadf0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6453043-5893-4eaf-af2e-cc6b85c99857' class='xr-var-data-in' type='checkbox'><label for='data-a6453043-5893-4eaf-af2e-cc6b85c99857' title='Show/Hide data repr'><svg 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>#elems surrounding each node</dd></dl></div><div class='xr-var-data'><pre>array([2, 3, 4, ..., 2, 2, 3], dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-78db3c7a-0066-494e-bb95-d08ad9c9b4d7' class='xr-section-summary-in' type='checkbox'  ><label for='section-78db3c7a-0066-494e-bb95-d08ad9c9b4d7' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>NGOFS2</dd><dt><span>institution :</span></dt><dd>School for Marine Science and Technology</dd><dt><span>source :</span></dt><dd>FVCOM_4.3</dd><dt><span>history :</span></dt><dd>model started at: 25/08/2022   09:05</dd><dt><span>references :</span></dt><dd>http://fvcom.smast.umassd.edu, http://codfish.smast.umassd.edu</dd><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>CoordinateSystem :</span></dt><dd>GeoReferenced</dd><dt><span>CoordinateProjection :</span></dt><dd>init=nad83:4205</dd><dt><span>Tidal_Forcing :</span></dt><dd>TIDAL ELEVATION FORCING IS OFF!</dd><dt><span>River_Forcing :</span></dt><dd>THERE ARE 63 RIVERS IN THIS MODEL.\n",
       "RIVER INFLOW IS ON THE nodes WHERE TEMPERATURE AND SALINITY ARE calculated IN THE MODEL.\n",
       "THE FOLLOWING RIVER NAMES ARE USED:\n",
       "08012000\n",
       "02365500\n",
       "02375500\n",
       "02489500\n",
       "02492000\n",
       "08211200\n",
       "08211200\n",
       "08211200\n",
       "02481510\n",
       "02481510\n",
       "02481510\n",
       "02479000\n",
       "02479000\n",
       "02479000\n",
       "02479000\n",
       "08164800\n",
       "08164800\n",
       "08164000\n",
       "08164000\n",
       "08188800\n",
       "08188800\n",
       "08188800\n",
       "08066500\n",
       "08066500\n",
       "02479560\n",
       "02479560\n",
       "02479560\n",
       "02479560\n",
       "07375500\n",
       "07375500\n",
       "08030500\n",
       "08030500\n",
       "08069000\n",
       "08069000\n",
       "08069000\n",
       "07381600\n",
       "07381600\n",
       "07381600\n",
       "07381600\n",
       "02470629\n",
       "02470629\n",
       "02470629\n",
       "02470629\n",
       "02471019\n",
       "02471019\n",
       "02471019\n",
       "02471019\n",
       "02471019\n",
       "08076000\n",
       "08076000\n",
       "08075400\n",
       "08041780\n",
       "08015500\n",
       "08075000\n",
       "08075000\n",
       "07374000\n",
       "07374000\n",
       "07374000\n",
       "07374000\n",
       "08162500\n",
       "08116650\n",
       "02376500\n",
       "02368000</dd><dt><span>GroundWater_Forcing :</span></dt><dd>GROUND WATER FORCING IS OFF!</dd><dt><span>Surface_Heat_Forcing :</span></dt><dd>FVCOM variable surface heat forcing file:\n",
       "FILE NAME:nos.ngofs2.hflux.nowcast.20220825.t09z.nc\n",
       "SOURCE:FVCOM grid (unstructured) surface forcing\n",
       "Unknown start date meta data format</dd><dt><span>Surface_Wind_Forcing :</span></dt><dd>FVCOM variable surface Wind forcing:\n",
       "FILE NAME:nos.ngofs2.met.nowcast.20220825.t09z.nc\n",
       "SOURCE:FVCOM grid (unstructured) surface forcing\n",
       "Unknown start date meta data format</dd><dt><span>Surface_PrecipEvap_Forcing :</span></dt><dd>SURFACE PRECIPITATION FORCING IS OFF</dd><dt><span>DODS.strlen :</span></dt><dd>26</dd><dt><span>DODS.dimName :</span></dt><dd>DateStrLen</dd><dt><span>DODS_EXTRA.Unlimited_Dimension :</span></dt><dd>time</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:             (nele: 30734, node: 16604, time: 8, four: 4, three: 3,\n",
       "                         siglay: 40, siglev: 41, maxnode: 10, maxelem: 8)\n",
       "Coordinates:\n",
       "    lonc                (nele) float32 dask.array<chunksize=(30734,), meta=np.ndarray>\n",
       "    latc                (nele) float32 dask.array<chunksize=(30734,), meta=np.ndarray>\n",
       "    lon                 (node) float32 dask.array<chunksize=(16604,), meta=np.ndarray>\n",
       "    lat                 (node) float32 dask.array<chunksize=(16604,), meta=np.ndarray>\n",
       "  * time                (time) datetime64[ns] 2022-08-25T12:00:00 ... 2022-08...\n",
       "    sigma_levels        (siglev, node) float32 dask.array<chunksize=(41, 16604), meta=np.ndarray>\n",
       "    sigma_layers        (siglay, node) float32 dask.array<chunksize=(40, 16604), meta=np.ndarray>\n",
       "Dimensions without coordinates: nele, node, four, three, siglay, siglev,\n",
       "                                maxnode, maxelem\n",
       "Data variables: (12/38)\n",
       "    nprocs              int32 756\n",
       "    partition           (nele) int32 dask.array<chunksize=(30734,), meta=np.ndarray>\n",
       "    x                   (node) float32 dask.array<chunksize=(16604,), meta=np.ndarray>\n",
       "    y                   (node) float32 dask.array<chunksize=(16604,), meta=np.ndarray>\n",
       "    xc                  (nele) float32 dask.array<chunksize=(30734,), meta=np.ndarray>\n",
       "    yc                  (nele) float32 dask.array<chunksize=(30734,), meta=np.ndarray>\n",
       "    ...                  ...\n",
       "    nv                  (three, nele) int64 7 7 8 3 ... 16603 16603 16598 16599\n",
       "    nbe                 (three, nele) int64 0 0 2 3 15 ... 30730 30733 30734 0\n",
       "    nbsn                (maxnode, node) int32 0 0 0 0 0 0 1 2 ... 0 0 0 0 0 0 0\n",
       "    ntsn                (node) int32 3 4 5 4 3 3 7 7 6 7 ... 6 6 7 7 6 6 5 5 5 6\n",
       "    nbve                (maxelem, node) int32 0 0 0 0 0 0 1 3 ... 0 0 0 0 0 0 0\n",
       "    ntve                (node) int32 2 3 4 3 2 2 7 7 6 7 ... 3 3 4 7 6 3 2 2 2 3\n",
       "Attributes: (12/17)\n",
       "    title:                           NGOFS2\n",
       "    institution:                     School for Marine Science and Technology\n",
       "    source:                          FVCOM_4.3\n",
       "    history:                         model started at: 25/08/2022   09:05\n",
       "    references:                      http://fvcom.smast.umassd.edu, http://co...\n",
       "    Conventions:                     CF-1.0\n",
       "    ...                              ...\n",
       "    Surface_Heat_Forcing:            FVCOM variable surface heat forcing file...\n",
       "    Surface_Wind_Forcing:            FVCOM variable surface Wind forcing:\\nFI...\n",
       "    Surface_PrecipEvap_Forcing:      SURFACE PRECIPITATION FORCING IS OFF\n",
       "    DODS.strlen:                     26\n",
       "    DODS.dimName:                    DateStrLen\n",
       "    DODS_EXTRA.Unlimited_Dimension:  time"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_ngofs2_ss = ds_ngofs2.em.sub_grid(bbox=bbox_ngofs2)\n",
    "ds_ngofs2_ss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "126eb140-34d9-41da-a757-c922dced0860",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x165ff99d0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_ngofs2_ss.cf.isel(T=3).plot.scatter(x='lon', y='lat', hue='zeta', s=0.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8180d1b1-82eb-4e88-bb0c-8ab49c1ce869",
   "metadata": {},
   "source": [
    "## Subset Temporally\n",
    "\n",
    "Use `cf-xarray` to refer to the time dimension as `ds.cf['T']`."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bdc74ea8-0728-4d52-9b5d-c5dd6ee3b44c",
   "metadata": {},
   "source": [
    "### By time stamps\n",
    "\n",
    "Use `ds.cf.sel(T=slice(start_time, end_time, stride))`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "249d2083-b886-4082-aade-50ff3a9ceb88",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;ocean_time&#x27; (ocean_time: 5)&gt;\n",
       "array([&#x27;2022-08-25T11:00:00.000000000&#x27;, &#x27;2022-08-25T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T13:00:00.000000000&#x27;, &#x27;2022-08-25T14:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T15:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)\n",
       "Coordinates:\n",
       "  * ocean_time  (ocean_time) datetime64[ns] 2022-08-25T11:00:00 ... 2022-08-2...\n",
       "Attributes:\n",
       "    long_name:  time since initialization\n",
       "    field:      time, scalar, series\n",
       "    axis:       T</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ocean_time'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>ocean_time</span>: 5</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8390e105-6019-4f4a-a26c-b1b3282ca704' class='xr-array-in' type='checkbox' checked><label for='section-8390e105-6019-4f4a-a26c-b1b3282ca704' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2022-08-25T11:00:00 2022-08-25T12:00:00 ... 2022-08-25T15:00:00</span></div><div class='xr-array-data'><pre>array([&#x27;2022-08-25T11:00:00.000000000&#x27;, &#x27;2022-08-25T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T13:00:00.000000000&#x27;, &#x27;2022-08-25T14:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T15:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></div></li><li class='xr-section-item'><input id='section-2bc1c49f-9579-4167-8071-6fd1fa9aa9fb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2bc1c49f-9579-4167-8071-6fd1fa9aa9fb' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ocean_time</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-08-25T11:00:00 ... 2022-08-...</div><input id='attrs-a199ed19-58d4-42c8-9257-305870ffd00f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a199ed19-58d4-42c8-9257-305870ffd00f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2086a43-1df4-4a77-9393-83d569e25b77' class='xr-var-data-in' type='checkbox'><label for='data-c2086a43-1df4-4a77-9393-83d569e25b77' title='Show/Hide data repr'><svg 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 since initialization</dd><dt><span>field :</span></dt><dd>time, scalar, series</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-08-25T11:00:00.000000000&#x27;, &#x27;2022-08-25T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T13:00:00.000000000&#x27;, &#x27;2022-08-25T14:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T15:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2c7a0cec-fb54-4dee-818f-21d26bd0a064' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2c7a0cec-fb54-4dee-818f-21d26bd0a064' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since initialization</dd><dt><span>field :</span></dt><dd>time, scalar, series</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'ocean_time' (ocean_time: 5)>\n",
       "array(['2022-08-25T11:00:00.000000000', '2022-08-25T12:00:00.000000000',\n",
       "       '2022-08-25T13:00:00.000000000', '2022-08-25T14:00:00.000000000',\n",
       "       '2022-08-25T15:00:00.000000000'], dtype='datetime64[ns]')\n",
       "Coordinates:\n",
       "  * ocean_time  (ocean_time) datetime64[ns] 2022-08-25T11:00:00 ... 2022-08-2...\n",
       "Attributes:\n",
       "    long_name:  time since initialization\n",
       "    field:      time, scalar, series\n",
       "    axis:       T"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_cbofs_rg_ss.cf['T'][:5]"
   ]
  },
  {
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       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (ny: 199, nx: 199, ocean_time: 4, Depth: 15)\n",
       "Coordinates:\n",
       "    Latitude     (ny, nx) float64 dask.array&lt;chunksize=(199, 199), meta=np.ndarray&gt;\n",
       "    Longitude    (ny, nx) float64 dask.array&lt;chunksize=(199, 199), meta=np.ndarray&gt;\n",
       "  * nx           (nx) int64 269 270 271 272 273 274 ... 462 463 464 465 466 467\n",
       "  * ny           (ny) int64 167 168 169 170 171 172 ... 360 361 362 363 364 365\n",
       "  * ocean_time   (ocean_time) datetime64[ns] 2022-08-25T11:00:00 ... 2022-08-...\n",
       "  * Depth        (Depth) float64 0.0 2.0 4.0 6.0 8.0 ... 35.0 40.0 45.0 50.0\n",
       "Data variables:\n",
       "    h            (ny, nx) float64 dask.array&lt;chunksize=(199, 199), meta=np.ndarray&gt;\n",
       "    mask         (ny, nx) float64 dask.array&lt;chunksize=(199, 199), meta=np.ndarray&gt;\n",
       "    zeta         (ocean_time, ny, nx) float32 dask.array&lt;chunksize=(1, 199, 199), meta=np.ndarray&gt;\n",
       "    zetatomllw   (ocean_time, ny, nx) float32 dask.array&lt;chunksize=(1, 199, 199), meta=np.ndarray&gt;\n",
       "    u_eastward   (ocean_time, Depth, ny, nx) float32 dask.array&lt;chunksize=(1, 15, 199, 100), meta=np.ndarray&gt;\n",
       "    v_northward  (ocean_time, Depth, ny, nx) float32 dask.array&lt;chunksize=(1, 15, 199, 100), meta=np.ndarray&gt;\n",
       "    temp         (ocean_time, Depth, ny, nx) float32 dask.array&lt;chunksize=(1, 15, 199, 100), meta=np.ndarray&gt;\n",
       "    salt         (ocean_time, Depth, ny, nx) float32 dask.array&lt;chunksize=(1, 15, 199, 100), meta=np.ndarray&gt;\n",
       "Attributes: (12/36)\n",
       "    file:                            nos.cbofs.fields.nowcast.20220825.t12z_0...\n",
       "    format:                          netCDF-4/HDF5 file\n",
       "    Conventions:                     CF-1.4, SGRID-0.3\n",
       "    type:                            ROMS/TOMS history file\n",
       "    title:                           cbofs nowcast RUN in operational mode\n",
       "    var_info:                        varinfo.dat\n",
       "    ...                              ...\n",
       "    tiling:                          008x016\n",
       "    history:                         ROMS/TOMS, Version 3.9, Thursday - Augus...\n",
       "    ana_file:                        ROMS/Functionals/ana_btflux.h, ROMS/Func...\n",
       "    CPP_options:                     mode, ADD_FSOBC, ADD_M2OBC, ANA_BPFLUX, ...\n",
       "    bio_file:                        ROMS/Nonlinear/Biology/hypoxia_srm.h\n",
       "    DODS_EXTRA.Unlimited_Dimension:  ocean_time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ec05ece5-179f-4103-90f6-525211615b77' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ec05ece5-179f-4103-90f6-525211615b77' 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'>ny</span>: 199</li><li><span class='xr-has-index'>nx</span>: 199</li><li><span class='xr-has-index'>ocean_time</span>: 4</li><li><span class='xr-has-index'>Depth</span>: 15</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-167a89f8-fb16-4b6d-a2e2-1495c9322bee' class='xr-section-summary-in' type='checkbox'  checked><label for='section-167a89f8-fb16-4b6d-a2e2-1495c9322bee' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Latitude</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(199, 199), meta=np.ndarray&gt;</div><input id='attrs-a3d8c94a-b917-4b02-b65a-62c785a1530e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3d8c94a-b917-4b02-b65a-62c785a1530e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0f92b93-e2d0-49f9-a059-abd719853b78' class='xr-var-data-in' type='checkbox'><label for='data-b0f92b93-e2d0-49f9-a059-abd719853b78' title='Show/Hide data repr'><svg 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 in common grid</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 309.38 kiB </td>\n",
       "                        <td> 309.38 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (199, 199) </td>\n",
       "                        <td> (199, 199) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 26 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"170\" 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=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >199</text>\n",
       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">199</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Longitude</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(199, 199), meta=np.ndarray&gt;</div><input id='attrs-5dff8d55-c47d-4c49-9b84-b6cf95dbd8ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5dff8d55-c47d-4c49-9b84-b6cf95dbd8ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62192ffa-1023-43fb-ac20-26cdeca82b02' class='xr-var-data-in' type='checkbox'><label for='data-62192ffa-1023-43fb-ac20-26cdeca82b02' title='Show/Hide data repr'><svg 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 in common grid</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 309.38 kiB </td>\n",
       "                        <td> 309.38 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (199, 199) </td>\n",
       "                        <td> (199, 199) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 26 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"170\" 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=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >199</text>\n",
       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">199</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>nx</span></div><div class='xr-var-dims'>(nx)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>269 270 271 272 ... 464 465 466 467</div><input id='attrs-a693173e-c1f6-4bd5-8a09-d8a2ec65b874' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a693173e-c1f6-4bd5-8a09-d8a2ec65b874' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbc77075-efb2-418e-a3e6-c2d3bb746f87' class='xr-var-data-in' type='checkbox'><label for='data-cbc77075-efb2-418e-a3e6-c2d3bb746f87' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282,\n",
       "       283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296,\n",
       "       297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310,\n",
       "       311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324,\n",
       "       325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338,\n",
       "       339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352,\n",
       "       353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366,\n",
       "       367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380,\n",
       "       381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394,\n",
       "       395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408,\n",
       "       409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422,\n",
       "       423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436,\n",
       "       437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450,\n",
       "       451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464,\n",
       "       465, 466, 467])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ny</span></div><div class='xr-var-dims'>(ny)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>167 168 169 170 ... 362 363 364 365</div><input id='attrs-3b387e6d-f4d9-4a19-beb4-94cbcd82a947' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b387e6d-f4d9-4a19-beb4-94cbcd82a947' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e13f3dd-48e6-4a6c-87b2-4d65afc1776f' class='xr-var-data-in' type='checkbox'><label for='data-2e13f3dd-48e6-4a6c-87b2-4d65afc1776f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180,\n",
       "       181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194,\n",
       "       195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208,\n",
       "       209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222,\n",
       "       223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236,\n",
       "       237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250,\n",
       "       251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264,\n",
       "       265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278,\n",
       "       279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292,\n",
       "       293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306,\n",
       "       307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320,\n",
       "       321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334,\n",
       "       335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348,\n",
       "       349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362,\n",
       "       363, 364, 365])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ocean_time</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-08-25T11:00:00 ... 2022-08-...</div><input id='attrs-678109e0-007b-4fa9-bf74-84a8ef8f1687' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-678109e0-007b-4fa9-bf74-84a8ef8f1687' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ea35bff-e7bc-465b-aa1c-92d5b151635b' class='xr-var-data-in' type='checkbox'><label for='data-2ea35bff-e7bc-465b-aa1c-92d5b151635b' title='Show/Hide data repr'><svg 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 since initialization</dd><dt><span>field :</span></dt><dd>time, scalar, series</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-08-25T11:00:00.000000000&#x27;, &#x27;2022-08-25T14:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T17:00:00.000000000&#x27;, &#x27;2022-08-25T20:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Depth</span></div><div class='xr-var-dims'>(Depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 6.0 ... 40.0 45.0 50.0</div><input id='attrs-dd882ead-bebf-41d5-aec2-815283fc4890' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd882ead-bebf-41d5-aec2-815283fc4890' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6499aa95-2f2f-4ec4-9342-69d04c2d4331' class='xr-var-data-in' type='checkbox'><label for='data-6499aa95-2f2f-4ec4-9342-69d04c2d4331' title='Show/Hide data repr'><svg 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>Depths of Standard Layer</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  2.,  4.,  6.,  8., 10., 12., 15., 20., 25., 30., 35., 40., 45.,\n",
       "       50.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5db67f4c-6d6a-41cb-adb3-ad289ea72c3e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5db67f4c-6d6a-41cb-adb3-ad289ea72c3e' class='xr-section-summary' >Data variables: <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>h</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(199, 199), meta=np.ndarray&gt;</div><input id='attrs-0241d69c-62fa-4ce7-b521-37a6eee8ae0f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0241d69c-62fa-4ce7-b521-37a6eee8ae0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3dddaa76-4d9c-4cb7-b5bd-e4e5a405376c' class='xr-var-data-in' type='checkbox'><label for='data-3dddaa76-4d9c-4cb7-b5bd-e4e5a405376c' title='Show/Hide data repr'><svg 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>bathymetry</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>bath, scaler</dd><dt><span>standard_name :</span></dt><dd>sea_floor_depth</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> 309.38 kiB </td>\n",
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       "                        <th> Count </th>\n",
       "                        <td> 7 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
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       "                        <td> (199, 199) </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zeta</span></div><div class='xr-var-dims'>(ocean_time, ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 199, 199), meta=np.ndarray&gt;</div><input id='attrs-29d6c770-9704-4faa-826c-2b4460913eb6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29d6c770-9704-4faa-826c-2b4460913eb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b492e33d-04ee-47a0-8c32-ad666ca35b3a' class='xr-var-data-in' type='checkbox'><label for='data-b492e33d-04ee-47a0-8c32-ad666ca35b3a' title='Show/Hide data repr'><svg 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>free-surface referenced to mean sea level</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>free-surface, scalar, series</dd><dt><span>standard_name :</span></dt><dd>sea_surface_elevation</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>zetatomllw</span></div><div class='xr-var-dims'>(ocean_time, ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 199, 199), meta=np.ndarray&gt;</div><input id='attrs-b6989c6d-4f7b-4a4f-81be-1ee5722c857b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6989c6d-4f7b-4a4f-81be-1ee5722c857b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e64004b2-5d74-48d6-9707-3cf9acab3b2d' class='xr-var-data-in' type='checkbox'><label for='data-e64004b2-5d74-48d6-9707-3cf9acab3b2d' title='Show/Hide data repr'><svg 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>free-surface referenced to mean lower low water</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>free-surface, scalar, series</dd></dl></div><div class='xr-var-data'><table>\n",
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       "ADVECTION:   HORIZONTAL   VERTICAL     \n",
       "temp:        HSIMT        HSIMT        \n",
       "salt:        HSIMT        HSIMT        \n",
       "oxygen:      HSIMT        HSIMT</dd><dt><span>NLM_LBC :</span></dt><dd>\n",
       "EDGE:    WEST   SOUTH  EAST   NORTH  \n",
       "zeta:    Clo    Cha    Cha    Clo    \n",
       "ubar:    Clo    Fla    Fla    Clo    \n",
       "vbar:    Clo    Fla    Fla    Clo    \n",
       "u:       Clo    Rad    Rad    Clo    \n",
       "v:       Clo    Rad    Rad    Clo    \n",
       "temp:    Clo    RadNud RadNud Clo    \n",
       "salt:    Clo    RadNud RadNud Clo    \n",
       "oxygen:  Clo    RadNud RadNud Clo    \n",
       "tke:     Clo    Gra    Gra    Clo</dd><dt><span>svn_url :</span></dt><dd></dd><dt><span>svn_rev :</span></dt><dd></dd><dt><span>code_dir :</span></dt><dd>/lfs/h1/ops/prod/packages/nosofs.v3.4.2/sorc/ROMS.fd</dd><dt><span>header_dir :</span></dt><dd>/lfs/h1/ops/prod/packages/nosofs.v3.4.2/sorc/ROMS.fd/ROMS/Include</dd><dt><span>header_file :</span></dt><dd>cbofs.h</dd><dt><span>os :</span></dt><dd>Linux</dd><dt><span>cpu :</span></dt><dd>x86_64</dd><dt><span>compiler_system :</span></dt><dd>ftn-intel</dd><dt><span>compiler_command :</span></dt><dd>/opt/cray/pe/craype/2.7.10/bin/ftn</dd><dt><span>compiler_flags :</span></dt><dd>-fp-model precise -ip -O2</dd><dt><span>tiling :</span></dt><dd>008x016</dd><dt><span>history :</span></dt><dd>ROMS/TOMS, Version 3.9, Thursday - August 25, 2022 - 12:48:02 PM</dd><dt><span>ana_file :</span></dt><dd>ROMS/Functionals/ana_btflux.h, ROMS/Functionals/ana_rain.h, ROMS/Functionals/ana_stflux.h</dd><dt><span>CPP_options :</span></dt><dd>mode, ADD_FSOBC, ADD_M2OBC, ANA_BPFLUX, ANA_BSFLUX, ANA_BTFLUX, ANA_RAIN, ANA_SPFLUX, ANA_SSFLUX, ASSUMED_SHAPE, ATM_PRESS, !BOUNDARY_ALLGATHER, BULK_FLUXES, !COLLECT_ALL..., CURVGRID, DIFF_GRID, DJ_GRADPS, DOUBLE_PRECISION, EMINUSP, GLS_MIXING, HDF5, HYPOXIA_SRM, LIMIT_STFLX_COOLING, KANTHA_CLAYSON, LONGWAVE_OUT, MASKING, MIX_GEO_TS, MIX_S_UV, MPI, NONLINEAR, NONLIN_EOS, NO_LBC_ATT, N2S2_HORAVG, PERFECT_RESTART, POWER_LAW, PROFILE, K_GSCHEME, RADIATION_2D, REDUCE_ALLREDUCE, !RST_SINGLE, SALINITY, SOLAR_SOURCE, SOLVE3D, SSH_TIDES, STATIONS, SURFACE_DO_SATURATION, TS_DIF2, UV_ADV, UV_COR, UV_U3HADVECTION, UV_C4VADVECTION, UV_QDRAG, UV_TIDES, UV_VIS2, VAR_RHO_2D, VISC_GRID</dd><dt><span>bio_file :</span></dt><dd>ROMS/Nonlinear/Biology/hypoxia_srm.h</dd><dt><span>DODS_EXTRA.Unlimited_Dimension :</span></dt><dd>ocean_time</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
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       "    Longitude    (ny, nx) float64 dask.array<chunksize=(199, 199), meta=np.ndarray>\n",
       "  * nx           (nx) int64 269 270 271 272 273 274 ... 462 463 464 465 466 467\n",
       "  * ny           (ny) int64 167 168 169 170 171 172 ... 360 361 362 363 364 365\n",
       "  * ocean_time   (ocean_time) datetime64[ns] 2022-08-25T11:00:00 ... 2022-08-...\n",
       "  * Depth        (Depth) float64 0.0 2.0 4.0 6.0 8.0 ... 35.0 40.0 45.0 50.0\n",
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       "    mask         (ny, nx) float64 dask.array<chunksize=(199, 199), meta=np.ndarray>\n",
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       "    zetatomllw   (ocean_time, ny, nx) float32 dask.array<chunksize=(1, 199, 199), meta=np.ndarray>\n",
       "    u_eastward   (ocean_time, Depth, ny, nx) float32 dask.array<chunksize=(1, 15, 199, 100), meta=np.ndarray>\n",
       "    v_northward  (ocean_time, Depth, ny, nx) float32 dask.array<chunksize=(1, 15, 199, 100), meta=np.ndarray>\n",
       "    temp         (ocean_time, Depth, ny, nx) float32 dask.array<chunksize=(1, 15, 199, 100), meta=np.ndarray>\n",
       "    salt         (ocean_time, Depth, ny, nx) float32 dask.array<chunksize=(1, 15, 199, 100), meta=np.ndarray>\n",
       "Attributes: (12/36)\n",
       "    file:                            nos.cbofs.fields.nowcast.20220825.t12z_0...\n",
       "    format:                          netCDF-4/HDF5 file\n",
       "    Conventions:                     CF-1.4, SGRID-0.3\n",
       "    type:                            ROMS/TOMS history file\n",
       "    title:                           cbofs nowcast RUN in operational mode\n",
       "    var_info:                        varinfo.dat\n",
       "    ...                              ...\n",
       "    tiling:                          008x016\n",
       "    history:                         ROMS/TOMS, Version 3.9, Thursday - Augus...\n",
       "    ana_file:                        ROMS/Functionals/ana_btflux.h, ROMS/Func...\n",
       "    CPP_options:                     mode, ADD_FSOBC, ADD_M2OBC, ANA_BPFLUX, ...\n",
       "    bio_file:                        ROMS/Nonlinear/Biology/hypoxia_srm.h\n",
       "    DODS_EXTRA.Unlimited_Dimension:  ocean_time"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_cbofs_rg_ss.cf.sel(T=slice(start, start+pd.Timedelta('12 hours'), 3))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "486715c8-ad2d-49bb-b14d-597b0d6ce164",
   "metadata": {},
   "source": [
    "### By time index\n",
    "\n",
    "Use `ds.cf.isel(T=slice(start_index, end_index, stride))`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "41362812-4085-43d1-b8a1-0dabcd2d7dbf",
   "metadata": {},
   "outputs": [
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       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (ny: 199, nx: 199, ocean_time: 5, Depth: 15)\n",
       "Coordinates:\n",
       "    Latitude     (ny, nx) float64 dask.array&lt;chunksize=(199, 199), meta=np.ndarray&gt;\n",
       "    Longitude    (ny, nx) float64 dask.array&lt;chunksize=(199, 199), meta=np.ndarray&gt;\n",
       "  * nx           (nx) int64 269 270 271 272 273 274 ... 462 463 464 465 466 467\n",
       "  * ny           (ny) int64 167 168 169 170 171 172 ... 360 361 362 363 364 365\n",
       "  * ocean_time   (ocean_time) datetime64[ns] 2022-08-25T16:00:00 ... 2022-08-26\n",
       "  * Depth        (Depth) float64 0.0 2.0 4.0 6.0 8.0 ... 35.0 40.0 45.0 50.0\n",
       "Data variables:\n",
       "    h            (ny, nx) float64 dask.array&lt;chunksize=(199, 199), meta=np.ndarray&gt;\n",
       "    mask         (ny, nx) float64 dask.array&lt;chunksize=(199, 199), meta=np.ndarray&gt;\n",
       "    zeta         (ocean_time, ny, nx) float32 dask.array&lt;chunksize=(1, 199, 199), meta=np.ndarray&gt;\n",
       "    zetatomllw   (ocean_time, ny, nx) float32 dask.array&lt;chunksize=(1, 199, 199), meta=np.ndarray&gt;\n",
       "    u_eastward   (ocean_time, Depth, ny, nx) float32 dask.array&lt;chunksize=(1, 15, 199, 100), meta=np.ndarray&gt;\n",
       "    v_northward  (ocean_time, Depth, ny, nx) float32 dask.array&lt;chunksize=(1, 15, 199, 100), meta=np.ndarray&gt;\n",
       "    temp         (ocean_time, Depth, ny, nx) float32 dask.array&lt;chunksize=(1, 15, 199, 100), meta=np.ndarray&gt;\n",
       "    salt         (ocean_time, Depth, ny, nx) float32 dask.array&lt;chunksize=(1, 15, 199, 100), meta=np.ndarray&gt;\n",
       "Attributes: (12/36)\n",
       "    file:                            nos.cbofs.fields.nowcast.20220825.t12z_0...\n",
       "    format:                          netCDF-4/HDF5 file\n",
       "    Conventions:                     CF-1.4, SGRID-0.3\n",
       "    type:                            ROMS/TOMS history file\n",
       "    title:                           cbofs nowcast RUN in operational mode\n",
       "    var_info:                        varinfo.dat\n",
       "    ...                              ...\n",
       "    tiling:                          008x016\n",
       "    history:                         ROMS/TOMS, Version 3.9, Thursday - Augus...\n",
       "    ana_file:                        ROMS/Functionals/ana_btflux.h, ROMS/Func...\n",
       "    CPP_options:                     mode, ADD_FSOBC, ADD_M2OBC, ANA_BPFLUX, ...\n",
       "    bio_file:                        ROMS/Nonlinear/Biology/hypoxia_srm.h\n",
       "    DODS_EXTRA.Unlimited_Dimension:  ocean_time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-16db6cd4-ccdd-470b-b2da-6a6d17e65d8e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-16db6cd4-ccdd-470b-b2da-6a6d17e65d8e' 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'>ny</span>: 199</li><li><span class='xr-has-index'>nx</span>: 199</li><li><span class='xr-has-index'>ocean_time</span>: 5</li><li><span class='xr-has-index'>Depth</span>: 15</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-36a6b635-5ecf-449e-81a0-d2e416b8f2dd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-36a6b635-5ecf-449e-81a0-d2e416b8f2dd' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Latitude</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(199, 199), meta=np.ndarray&gt;</div><input id='attrs-df6e5f34-02dc-433c-91f9-5eddbcc69341' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df6e5f34-02dc-433c-91f9-5eddbcc69341' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18225575-de3d-46ef-ace4-0b50b8bde76d' class='xr-var-data-in' type='checkbox'><label for='data-18225575-de3d-46ef-ace4-0b50b8bde76d' title='Show/Hide data repr'><svg 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 in common grid</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 309.38 kiB </td>\n",
       "                        <td> 309.38 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (199, 199) </td>\n",
       "                        <td> (199, 199) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 26 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"170\" 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=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >199</text>\n",
       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">199</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Longitude</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(199, 199), meta=np.ndarray&gt;</div><input id='attrs-c4859f90-9acf-475c-8a10-015b15f2e4cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4859f90-9acf-475c-8a10-015b15f2e4cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8e28315-9642-4027-8d7d-12af39142fef' class='xr-var-data-in' type='checkbox'><label for='data-b8e28315-9642-4027-8d7d-12af39142fef' title='Show/Hide data repr'><svg 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 in common grid</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 309.38 kiB </td>\n",
       "                        <td> 309.38 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (199, 199) </td>\n",
       "                        <td> (199, 199) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 26 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"170\" 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=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >199</text>\n",
       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">199</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>nx</span></div><div class='xr-var-dims'>(nx)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>269 270 271 272 ... 464 465 466 467</div><input id='attrs-d74350bd-f157-4d2b-b1cc-31281dfad565' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d74350bd-f157-4d2b-b1cc-31281dfad565' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f87cda84-620c-42bd-8c96-b8384aed08d9' class='xr-var-data-in' type='checkbox'><label for='data-f87cda84-620c-42bd-8c96-b8384aed08d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282,\n",
       "       283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296,\n",
       "       297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310,\n",
       "       311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324,\n",
       "       325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338,\n",
       "       339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352,\n",
       "       353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366,\n",
       "       367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380,\n",
       "       381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394,\n",
       "       395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408,\n",
       "       409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422,\n",
       "       423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436,\n",
       "       437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450,\n",
       "       451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464,\n",
       "       465, 466, 467])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ny</span></div><div class='xr-var-dims'>(ny)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>167 168 169 170 ... 362 363 364 365</div><input id='attrs-ad660424-3811-4f1d-99cc-62b700475ac4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad660424-3811-4f1d-99cc-62b700475ac4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97ec4e89-0c83-4907-ad42-2f8ee7d25f97' class='xr-var-data-in' type='checkbox'><label for='data-97ec4e89-0c83-4907-ad42-2f8ee7d25f97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180,\n",
       "       181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194,\n",
       "       195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208,\n",
       "       209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222,\n",
       "       223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236,\n",
       "       237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250,\n",
       "       251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264,\n",
       "       265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278,\n",
       "       279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292,\n",
       "       293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306,\n",
       "       307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320,\n",
       "       321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334,\n",
       "       335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348,\n",
       "       349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362,\n",
       "       363, 364, 365])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ocean_time</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-08-25T16:00:00 ... 2022-08-26</div><input id='attrs-c4f01675-f8f2-4018-82bf-c75e2173e903' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4f01675-f8f2-4018-82bf-c75e2173e903' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22025c46-240c-4e8e-9ab6-da074cc0046c' class='xr-var-data-in' type='checkbox'><label for='data-22025c46-240c-4e8e-9ab6-da074cc0046c' title='Show/Hide data repr'><svg 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 since initialization</dd><dt><span>field :</span></dt><dd>time, scalar, series</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-08-25T16:00:00.000000000&#x27;, &#x27;2022-08-25T18:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T20:00:00.000000000&#x27;, &#x27;2022-08-25T22:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-26T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Depth</span></div><div class='xr-var-dims'>(Depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 6.0 ... 40.0 45.0 50.0</div><input id='attrs-040f0cbb-aeec-4446-b12b-49dd67f366be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-040f0cbb-aeec-4446-b12b-49dd67f366be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3aa63aab-7e08-4ecb-8554-ac7497c1a266' class='xr-var-data-in' type='checkbox'><label for='data-3aa63aab-7e08-4ecb-8554-ac7497c1a266' title='Show/Hide data repr'><svg 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>Depths of Standard Layer</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  2.,  4.,  6.,  8., 10., 12., 15., 20., 25., 30., 35., 40., 45.,\n",
       "       50.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-57512401-8a0d-485d-993e-d92d2dce8945' class='xr-section-summary-in' type='checkbox'  checked><label for='section-57512401-8a0d-485d-993e-d92d2dce8945' class='xr-section-summary' >Data variables: <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>h</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(199, 199), meta=np.ndarray&gt;</div><input id='attrs-b0562a84-3d87-47ef-94ad-ba38f442f6dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0562a84-3d87-47ef-94ad-ba38f442f6dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6d106f3-1073-4435-ad7c-e5a51a910f19' class='xr-var-data-in' type='checkbox'><label for='data-e6d106f3-1073-4435-ad7c-e5a51a910f19' title='Show/Hide data repr'><svg 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>bathymetry</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>bath, scaler</dd><dt><span>standard_name :</span></dt><dd>sea_floor_depth</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
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       "                <thead>\n",
       "                    <tr>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 309.38 kiB </td>\n",
       "                        <td> 309.38 kiB </td>\n",
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       "                    \n",
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       "                        <th> Shape </th>\n",
       "                        <td> (199, 199) </td>\n",
       "                        <td> (199, 199) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 7 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(199, 199), meta=np.ndarray&gt;</div><input id='attrs-58b9068d-5036-4877-96d1-3ee933c451e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58b9068d-5036-4877-96d1-3ee933c451e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68ccc96d-c882-4995-8b9a-6969681df0c7' class='xr-var-data-in' type='checkbox'><label for='data-68ccc96d-c882-4995-8b9a-6969681df0c7' title='Show/Hide data repr'><svg 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>mask</dd><dt><span>flag_values :</span></dt><dd>[0. 1.]</dd><dt><span>flag_meanings :</span></dt><dd>land, water</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                        <td> 309.38 kiB </td>\n",
       "                        <td> 309.38 kiB </td>\n",
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       "                        <td> (199, 199) </td>\n",
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       "                        <td> 7 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zeta</span></div><div class='xr-var-dims'>(ocean_time, ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 199, 199), meta=np.ndarray&gt;</div><input id='attrs-fc548910-f4f7-436b-ba5b-9320bfa6307c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc548910-f4f7-436b-ba5b-9320bfa6307c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0a7cb6a-2e48-4788-9263-6ec7672e4e6b' class='xr-var-data-in' type='checkbox'><label for='data-a0a7cb6a-2e48-4788-9263-6ec7672e4e6b' title='Show/Hide data repr'><svg 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>free-surface referenced to mean sea level</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>free-surface, scalar, series</dd><dt><span>standard_name :</span></dt><dd>sea_surface_elevation</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <td> float32 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zetatomllw</span></div><div class='xr-var-dims'>(ocean_time, ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 199, 199), meta=np.ndarray&gt;</div><input id='attrs-6f1bb00b-ee7f-4bdd-8a89-c3b0b5b895a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f1bb00b-ee7f-4bdd-8a89-c3b0b5b895a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bccab365-37fc-48ba-9386-925e3aae3d82' class='xr-var-data-in' type='checkbox'><label for='data-bccab365-37fc-48ba-9386-925e3aae3d82' title='Show/Hide data repr'><svg 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>free-surface referenced to mean lower low water</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>free-surface, scalar, series</dd></dl></div><div class='xr-var-data'><table>\n",
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       "ADVECTION:   HORIZONTAL   VERTICAL     \n",
       "temp:        HSIMT        HSIMT        \n",
       "salt:        HSIMT        HSIMT        \n",
       "oxygen:      HSIMT        HSIMT</dd><dt><span>NLM_LBC :</span></dt><dd>\n",
       "EDGE:    WEST   SOUTH  EAST   NORTH  \n",
       "zeta:    Clo    Cha    Cha    Clo    \n",
       "ubar:    Clo    Fla    Fla    Clo    \n",
       "vbar:    Clo    Fla    Fla    Clo    \n",
       "u:       Clo    Rad    Rad    Clo    \n",
       "v:       Clo    Rad    Rad    Clo    \n",
       "temp:    Clo    RadNud RadNud Clo    \n",
       "salt:    Clo    RadNud RadNud Clo    \n",
       "oxygen:  Clo    RadNud RadNud Clo    \n",
       "tke:     Clo    Gra    Gra    Clo</dd><dt><span>svn_url :</span></dt><dd></dd><dt><span>svn_rev :</span></dt><dd></dd><dt><span>code_dir :</span></dt><dd>/lfs/h1/ops/prod/packages/nosofs.v3.4.2/sorc/ROMS.fd</dd><dt><span>header_dir :</span></dt><dd>/lfs/h1/ops/prod/packages/nosofs.v3.4.2/sorc/ROMS.fd/ROMS/Include</dd><dt><span>header_file :</span></dt><dd>cbofs.h</dd><dt><span>os :</span></dt><dd>Linux</dd><dt><span>cpu :</span></dt><dd>x86_64</dd><dt><span>compiler_system :</span></dt><dd>ftn-intel</dd><dt><span>compiler_command :</span></dt><dd>/opt/cray/pe/craype/2.7.10/bin/ftn</dd><dt><span>compiler_flags :</span></dt><dd>-fp-model precise -ip -O2</dd><dt><span>tiling :</span></dt><dd>008x016</dd><dt><span>history :</span></dt><dd>ROMS/TOMS, Version 3.9, Thursday - August 25, 2022 - 12:48:02 PM</dd><dt><span>ana_file :</span></dt><dd>ROMS/Functionals/ana_btflux.h, ROMS/Functionals/ana_rain.h, ROMS/Functionals/ana_stflux.h</dd><dt><span>CPP_options :</span></dt><dd>mode, ADD_FSOBC, ADD_M2OBC, ANA_BPFLUX, ANA_BSFLUX, ANA_BTFLUX, ANA_RAIN, ANA_SPFLUX, ANA_SSFLUX, ASSUMED_SHAPE, ATM_PRESS, !BOUNDARY_ALLGATHER, BULK_FLUXES, !COLLECT_ALL..., CURVGRID, DIFF_GRID, DJ_GRADPS, DOUBLE_PRECISION, EMINUSP, GLS_MIXING, HDF5, HYPOXIA_SRM, LIMIT_STFLX_COOLING, KANTHA_CLAYSON, LONGWAVE_OUT, MASKING, MIX_GEO_TS, MIX_S_UV, MPI, NONLINEAR, NONLIN_EOS, NO_LBC_ATT, N2S2_HORAVG, PERFECT_RESTART, POWER_LAW, PROFILE, K_GSCHEME, RADIATION_2D, REDUCE_ALLREDUCE, !RST_SINGLE, SALINITY, SOLAR_SOURCE, SOLVE3D, SSH_TIDES, STATIONS, SURFACE_DO_SATURATION, TS_DIF2, UV_ADV, UV_COR, UV_U3HADVECTION, UV_C4VADVECTION, UV_QDRAG, UV_TIDES, UV_VIS2, VAR_RHO_2D, VISC_GRID</dd><dt><span>bio_file :</span></dt><dd>ROMS/Nonlinear/Biology/hypoxia_srm.h</dd><dt><span>DODS_EXTRA.Unlimited_Dimension :</span></dt><dd>ocean_time</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (ny: 199, nx: 199, ocean_time: 5, Depth: 15)\n",
       "Coordinates:\n",
       "    Latitude     (ny, nx) float64 dask.array<chunksize=(199, 199), meta=np.ndarray>\n",
       "    Longitude    (ny, nx) float64 dask.array<chunksize=(199, 199), meta=np.ndarray>\n",
       "  * nx           (nx) int64 269 270 271 272 273 274 ... 462 463 464 465 466 467\n",
       "  * ny           (ny) int64 167 168 169 170 171 172 ... 360 361 362 363 364 365\n",
       "  * ocean_time   (ocean_time) datetime64[ns] 2022-08-25T16:00:00 ... 2022-08-26\n",
       "  * Depth        (Depth) float64 0.0 2.0 4.0 6.0 8.0 ... 35.0 40.0 45.0 50.0\n",
       "Data variables:\n",
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       "    mask         (ny, nx) float64 dask.array<chunksize=(199, 199), meta=np.ndarray>\n",
       "    zeta         (ocean_time, ny, nx) float32 dask.array<chunksize=(1, 199, 199), meta=np.ndarray>\n",
       "    zetatomllw   (ocean_time, ny, nx) float32 dask.array<chunksize=(1, 199, 199), meta=np.ndarray>\n",
       "    u_eastward   (ocean_time, Depth, ny, nx) float32 dask.array<chunksize=(1, 15, 199, 100), meta=np.ndarray>\n",
       "    v_northward  (ocean_time, Depth, ny, nx) float32 dask.array<chunksize=(1, 15, 199, 100), meta=np.ndarray>\n",
       "    temp         (ocean_time, Depth, ny, nx) float32 dask.array<chunksize=(1, 15, 199, 100), meta=np.ndarray>\n",
       "    salt         (ocean_time, Depth, ny, nx) float32 dask.array<chunksize=(1, 15, 199, 100), meta=np.ndarray>\n",
       "Attributes: (12/36)\n",
       "    file:                            nos.cbofs.fields.nowcast.20220825.t12z_0...\n",
       "    format:                          netCDF-4/HDF5 file\n",
       "    Conventions:                     CF-1.4, SGRID-0.3\n",
       "    type:                            ROMS/TOMS history file\n",
       "    title:                           cbofs nowcast RUN in operational mode\n",
       "    var_info:                        varinfo.dat\n",
       "    ...                              ...\n",
       "    tiling:                          008x016\n",
       "    history:                         ROMS/TOMS, Version 3.9, Thursday - Augus...\n",
       "    ana_file:                        ROMS/Functionals/ana_btflux.h, ROMS/Func...\n",
       "    CPP_options:                     mode, ADD_FSOBC, ADD_M2OBC, ANA_BPFLUX, ...\n",
       "    bio_file:                        ROMS/Nonlinear/Biology/hypoxia_srm.h\n",
       "    DODS_EXTRA.Unlimited_Dimension:  ocean_time"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_cbofs_rg_ss.cf.isel(T=slice(5, 15, 2))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aedcd117-8b1a-4ff1-b057-ce2d467af4fc",
   "metadata": {},
   "source": [
    "## Subset to Variables\n",
    "\n",
    "Specify desired variables by standard names (in particular, those defined in the catalog files). The `filter()` method also retains the variables necessary to decode vertical coordinates in the future."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "7a1c9925-ce77-425a-92f7-db33cc228d08",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (ocean_time: 24, Depth: 15, ny: 199, nx: 199)\n",
       "Coordinates:\n",
       "    Latitude     (ny, nx) float64 dask.array&lt;chunksize=(199, 199), meta=np.ndarray&gt;\n",
       "    Longitude    (ny, nx) float64 dask.array&lt;chunksize=(199, 199), meta=np.ndarray&gt;\n",
       "  * nx           (nx) int64 269 270 271 272 273 274 ... 462 463 464 465 466 467\n",
       "  * ny           (ny) int64 167 168 169 170 171 172 ... 360 361 362 363 364 365\n",
       "  * ocean_time   (ocean_time) datetime64[ns] 2022-08-25T11:00:00 ... 2022-08-...\n",
       "  * Depth        (Depth) float64 0.0 2.0 4.0 6.0 8.0 ... 35.0 40.0 45.0 50.0\n",
       "Data variables:\n",
       "    u_eastward   (ocean_time, Depth, ny, nx) float32 dask.array&lt;chunksize=(1, 15, 199, 100), meta=np.ndarray&gt;\n",
       "    v_northward  (ocean_time, Depth, ny, nx) float32 dask.array&lt;chunksize=(1, 15, 199, 100), meta=np.ndarray&gt;\n",
       "Attributes: (12/36)\n",
       "    file:                            nos.cbofs.fields.nowcast.20220825.t12z_0...\n",
       "    format:                          netCDF-4/HDF5 file\n",
       "    Conventions:                     CF-1.4, SGRID-0.3\n",
       "    type:                            ROMS/TOMS history file\n",
       "    title:                           cbofs nowcast RUN in operational mode\n",
       "    var_info:                        varinfo.dat\n",
       "    ...                              ...\n",
       "    tiling:                          008x016\n",
       "    history:                         ROMS/TOMS, Version 3.9, Thursday - Augus...\n",
       "    ana_file:                        ROMS/Functionals/ana_btflux.h, ROMS/Func...\n",
       "    CPP_options:                     mode, ADD_FSOBC, ADD_M2OBC, ANA_BPFLUX, ...\n",
       "    bio_file:                        ROMS/Nonlinear/Biology/hypoxia_srm.h\n",
       "    DODS_EXTRA.Unlimited_Dimension:  ocean_time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8a335140-67e7-418f-bd2a-57d77633ea2d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8a335140-67e7-418f-bd2a-57d77633ea2d' 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'>ocean_time</span>: 24</li><li><span class='xr-has-index'>Depth</span>: 15</li><li><span class='xr-has-index'>ny</span>: 199</li><li><span class='xr-has-index'>nx</span>: 199</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d068d04a-717e-4d0d-affa-fb9abbc97268' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d068d04a-717e-4d0d-affa-fb9abbc97268' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Latitude</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(199, 199), meta=np.ndarray&gt;</div><input id='attrs-d3f48d6c-b069-4362-acf9-161f69aabe6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3f48d6c-b069-4362-acf9-161f69aabe6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-137234b5-bcea-49cd-b4a8-26789413ddda' class='xr-var-data-in' type='checkbox'><label for='data-137234b5-bcea-49cd-b4a8-26789413ddda' title='Show/Hide data repr'><svg 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 in common grid</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 309.38 kiB </td>\n",
       "                        <td> 309.38 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (199, 199) </td>\n",
       "                        <td> (199, 199) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 26 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"170\" 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=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >199</text>\n",
       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">199</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Longitude</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(199, 199), meta=np.ndarray&gt;</div><input id='attrs-a831a735-a7d9-4e8e-b0f8-663f8adf7051' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a831a735-a7d9-4e8e-b0f8-663f8adf7051' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b7a36ca-7343-4f59-a5df-0b24147c640c' class='xr-var-data-in' type='checkbox'><label for='data-5b7a36ca-7343-4f59-a5df-0b24147c640c' title='Show/Hide data repr'><svg 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 in common grid</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
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       "                        <td> 309.38 kiB </td>\n",
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       "                    <tr>\n",
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       "                        <td> (199, 199) </td>\n",
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       "                    <td> float64 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>nx</span></div><div class='xr-var-dims'>(nx)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>269 270 271 272 ... 464 465 466 467</div><input id='attrs-c2599398-6221-47af-816a-f333d8af3b57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2599398-6221-47af-816a-f333d8af3b57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0f9f6a6-7fab-4d4b-81e3-7e80f570a211' class='xr-var-data-in' type='checkbox'><label for='data-c0f9f6a6-7fab-4d4b-81e3-7e80f570a211' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282,\n",
       "       283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296,\n",
       "       297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310,\n",
       "       311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324,\n",
       "       325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338,\n",
       "       339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352,\n",
       "       353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366,\n",
       "       367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380,\n",
       "       381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394,\n",
       "       395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408,\n",
       "       409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422,\n",
       "       423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436,\n",
       "       437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450,\n",
       "       451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464,\n",
       "       465, 466, 467])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ny</span></div><div class='xr-var-dims'>(ny)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>167 168 169 170 ... 362 363 364 365</div><input id='attrs-1751c3ea-71da-4122-a14c-59b4317f0a39' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1751c3ea-71da-4122-a14c-59b4317f0a39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-609697dc-3be4-4883-beb5-ff04742f53bc' class='xr-var-data-in' type='checkbox'><label for='data-609697dc-3be4-4883-beb5-ff04742f53bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180,\n",
       "       181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194,\n",
       "       195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208,\n",
       "       209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222,\n",
       "       223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236,\n",
       "       237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250,\n",
       "       251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264,\n",
       "       265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278,\n",
       "       279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292,\n",
       "       293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306,\n",
       "       307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320,\n",
       "       321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334,\n",
       "       335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348,\n",
       "       349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362,\n",
       "       363, 364, 365])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ocean_time</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-08-25T11:00:00 ... 2022-08-...</div><input id='attrs-f7b5e7a7-8d5b-47b5-8a5a-3fc3ec39cd3e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7b5e7a7-8d5b-47b5-8a5a-3fc3ec39cd3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83f6514e-990c-468a-9931-b08a0153df83' class='xr-var-data-in' type='checkbox'><label for='data-83f6514e-990c-468a-9931-b08a0153df83' title='Show/Hide data repr'><svg 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 since initialization</dd><dt><span>field :</span></dt><dd>time, scalar, series</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-08-25T11:00:00.000000000&#x27;, &#x27;2022-08-25T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T13:00:00.000000000&#x27;, &#x27;2022-08-25T14:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T15:00:00.000000000&#x27;, &#x27;2022-08-25T16:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T17:00:00.000000000&#x27;, &#x27;2022-08-25T18:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T19:00:00.000000000&#x27;, &#x27;2022-08-25T20:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T21:00:00.000000000&#x27;, &#x27;2022-08-25T22:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T23:00:00.000000000&#x27;, &#x27;2022-08-26T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-26T01:00:00.000000000&#x27;, &#x27;2022-08-26T02:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-26T03:00:00.000000000&#x27;, &#x27;2022-08-26T04:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-26T05:00:00.000000000&#x27;, &#x27;2022-08-26T06:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-26T07:00:00.000000000&#x27;, &#x27;2022-08-26T08:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-26T09:00:00.000000000&#x27;, &#x27;2022-08-26T10:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Depth</span></div><div class='xr-var-dims'>(Depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 6.0 ... 40.0 45.0 50.0</div><input id='attrs-224bfd56-fe75-40f0-9d84-ade9a893a13f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-224bfd56-fe75-40f0-9d84-ade9a893a13f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aca1eeb0-ba3a-4c94-8f6b-fc768f62be1c' class='xr-var-data-in' type='checkbox'><label for='data-aca1eeb0-ba3a-4c94-8f6b-fc768f62be1c' title='Show/Hide data repr'><svg 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>Depths of Standard Layer</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  2.,  4.,  6.,  8., 10., 12., 15., 20., 25., 30., 35., 40., 45.,\n",
       "       50.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bf12c4f4-26f0-44e2-b93c-fc61055c74ad' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bf12c4f4-26f0-44e2-b93c-fc61055c74ad' class='xr-section-summary' >Data variables: <span>(2)</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>u_eastward</span></div><div class='xr-var-dims'>(ocean_time, Depth, ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 15, 199, 100), meta=np.ndarray&gt;</div><input id='attrs-1e0765ff-c312-4914-a025-bb3795c1f39c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e0765ff-c312-4914-a025-bb3795c1f39c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8f8d451-bda8-40f9-83cf-5cf2bd6c03b9' class='xr-var-data-in' type='checkbox'><label for='data-c8f8d451-bda8-40f9-83cf-5cf2bd6c03b9' title='Show/Hide data repr'><svg 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>eastward momentum component</dd><dt><span>units :</span></dt><dd>meters second-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>standard_name :</span></dt><dd>eastward_sea_water_velocity</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>u_eastward, scalar, series</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>v_northward</span></div><div class='xr-var-dims'>(ocean_time, Depth, ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 15, 199, 100), meta=np.ndarray&gt;</div><input id='attrs-df311130-5081-43d1-bcba-f5d5c5d870fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df311130-5081-43d1-bcba-f5d5c5d870fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cb75d5b-3afb-4585-9a7b-7348d680e4ef' class='xr-var-data-in' type='checkbox'><label for='data-8cb75d5b-3afb-4585-9a7b-7348d680e4ef' title='Show/Hide data repr'><svg 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>northward momentum component</dd><dt><span>units :</span></dt><dd>meters second-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>standard_name :</span></dt><dd>northward_sea_water_velocity</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>v_northward, scalar, series</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 54.38 MiB </td>\n",
       "                        <td> 1.14 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (24, 15, 199, 199) </td>\n",
       "                        <td> (1, 15, 199, 100) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 335 Tasks </td>\n",
       "                        <td> 48 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
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       "ADVECTION:   HORIZONTAL   VERTICAL     \n",
       "temp:        HSIMT        HSIMT        \n",
       "salt:        HSIMT        HSIMT        \n",
       "oxygen:      HSIMT        HSIMT</dd><dt><span>NLM_LBC :</span></dt><dd>\n",
       "EDGE:    WEST   SOUTH  EAST   NORTH  \n",
       "zeta:    Clo    Cha    Cha    Clo    \n",
       "ubar:    Clo    Fla    Fla    Clo    \n",
       "vbar:    Clo    Fla    Fla    Clo    \n",
       "u:       Clo    Rad    Rad    Clo    \n",
       "v:       Clo    Rad    Rad    Clo    \n",
       "temp:    Clo    RadNud RadNud Clo    \n",
       "salt:    Clo    RadNud RadNud Clo    \n",
       "oxygen:  Clo    RadNud RadNud Clo    \n",
       "tke:     Clo    Gra    Gra    Clo</dd><dt><span>svn_url :</span></dt><dd></dd><dt><span>svn_rev :</span></dt><dd></dd><dt><span>code_dir :</span></dt><dd>/lfs/h1/ops/prod/packages/nosofs.v3.4.2/sorc/ROMS.fd</dd><dt><span>header_dir :</span></dt><dd>/lfs/h1/ops/prod/packages/nosofs.v3.4.2/sorc/ROMS.fd/ROMS/Include</dd><dt><span>header_file :</span></dt><dd>cbofs.h</dd><dt><span>os :</span></dt><dd>Linux</dd><dt><span>cpu :</span></dt><dd>x86_64</dd><dt><span>compiler_system :</span></dt><dd>ftn-intel</dd><dt><span>compiler_command :</span></dt><dd>/opt/cray/pe/craype/2.7.10/bin/ftn</dd><dt><span>compiler_flags :</span></dt><dd>-fp-model precise -ip -O2</dd><dt><span>tiling :</span></dt><dd>008x016</dd><dt><span>history :</span></dt><dd>ROMS/TOMS, Version 3.9, Thursday - August 25, 2022 - 12:48:02 PM</dd><dt><span>ana_file :</span></dt><dd>ROMS/Functionals/ana_btflux.h, ROMS/Functionals/ana_rain.h, ROMS/Functionals/ana_stflux.h</dd><dt><span>CPP_options :</span></dt><dd>mode, ADD_FSOBC, ADD_M2OBC, ANA_BPFLUX, ANA_BSFLUX, ANA_BTFLUX, ANA_RAIN, ANA_SPFLUX, ANA_SSFLUX, ASSUMED_SHAPE, ATM_PRESS, !BOUNDARY_ALLGATHER, BULK_FLUXES, !COLLECT_ALL..., CURVGRID, DIFF_GRID, DJ_GRADPS, DOUBLE_PRECISION, EMINUSP, GLS_MIXING, HDF5, HYPOXIA_SRM, LIMIT_STFLX_COOLING, KANTHA_CLAYSON, LONGWAVE_OUT, MASKING, MIX_GEO_TS, MIX_S_UV, MPI, NONLINEAR, NONLIN_EOS, NO_LBC_ATT, N2S2_HORAVG, PERFECT_RESTART, POWER_LAW, PROFILE, K_GSCHEME, RADIATION_2D, REDUCE_ALLREDUCE, !RST_SINGLE, SALINITY, SOLAR_SOURCE, SOLVE3D, SSH_TIDES, STATIONS, SURFACE_DO_SATURATION, TS_DIF2, UV_ADV, UV_COR, UV_U3HADVECTION, UV_C4VADVECTION, UV_QDRAG, UV_TIDES, UV_VIS2, VAR_RHO_2D, VISC_GRID</dd><dt><span>bio_file :</span></dt><dd>ROMS/Nonlinear/Biology/hypoxia_srm.h</dd><dt><span>DODS_EXTRA.Unlimited_Dimension :</span></dt><dd>ocean_time</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (ocean_time: 24, Depth: 15, ny: 199, nx: 199)\n",
       "Coordinates:\n",
       "    Latitude     (ny, nx) float64 dask.array<chunksize=(199, 199), meta=np.ndarray>\n",
       "    Longitude    (ny, nx) float64 dask.array<chunksize=(199, 199), meta=np.ndarray>\n",
       "  * nx           (nx) int64 269 270 271 272 273 274 ... 462 463 464 465 466 467\n",
       "  * ny           (ny) int64 167 168 169 170 171 172 ... 360 361 362 363 364 365\n",
       "  * ocean_time   (ocean_time) datetime64[ns] 2022-08-25T11:00:00 ... 2022-08-...\n",
       "  * Depth        (Depth) float64 0.0 2.0 4.0 6.0 8.0 ... 35.0 40.0 45.0 50.0\n",
       "Data variables:\n",
       "    u_eastward   (ocean_time, Depth, ny, nx) float32 dask.array<chunksize=(1, 15, 199, 100), meta=np.ndarray>\n",
       "    v_northward  (ocean_time, Depth, ny, nx) float32 dask.array<chunksize=(1, 15, 199, 100), meta=np.ndarray>\n",
       "Attributes: (12/36)\n",
       "    file:                            nos.cbofs.fields.nowcast.20220825.t12z_0...\n",
       "    format:                          netCDF-4/HDF5 file\n",
       "    Conventions:                     CF-1.4, SGRID-0.3\n",
       "    type:                            ROMS/TOMS history file\n",
       "    title:                           cbofs nowcast RUN in operational mode\n",
       "    var_info:                        varinfo.dat\n",
       "    ...                              ...\n",
       "    tiling:                          008x016\n",
       "    history:                         ROMS/TOMS, Version 3.9, Thursday - Augus...\n",
       "    ana_file:                        ROMS/Functionals/ana_btflux.h, ROMS/Func...\n",
       "    CPP_options:                     mode, ADD_FSOBC, ADD_M2OBC, ANA_BPFLUX, ...\n",
       "    bio_file:                        ROMS/Nonlinear/Biology/hypoxia_srm.h\n",
       "    DODS_EXTRA.Unlimited_Dimension:  ocean_time"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Vars = ['eastward_sea_water_velocity', 'northward_sea_water_velocity']\n",
    "ds_cbofs_rg_ss.em.filter(Vars)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89d7030a-b80d-453b-b5cc-01277532f9db",
   "metadata": {},
   "source": [
    "## Return Dataset Size\n",
    "\n",
    "`xarray` will estimate the size of the dataset with `.nbytes` — divide by 1e9 to get GB, or 1e6 to get MB instead."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "f68d3d6c-317b-476f-a0e1-f3c75bf1e0af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "114.687992"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_cbofs_rg_ss.em.filter(Vars).nbytes/1e6"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2946a99d-da5e-4e1a-92ed-718e4f580224",
   "metadata": {},
   "source": [
    "## Save to file\n",
    "\n",
    "Save to file with `ds.to_netcdf([filename.nc])`."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e18973a6-7d10-4987-9c93-5f0b578b635a",
   "metadata": {},
   "source": [
    "## Put commands together\n",
    "\n",
    "Select a few variables from the ROMS curvilinear grid model, then subset the Dataset in space to a smaller box, narrow the time range, check size, then save to file. Then, read in saved file to demonstrate that the vertical coordinates have been read in and calculated only at that point."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "383d1e42-8e1f-4ebe-9964-1ece5b8db93a",
   "metadata": {},
   "source": [
    "### 1. Curvilinear, multiple horizontal grids"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "4ab2bb47-3c3e-4cb4-bf3c-aadcddc36d0c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Subdomain is 174.493296 MB\n",
      "CPU times: user 4.4 s, sys: 3.25 s, total: 7.65 s\n",
      "Wall time: 1min 10s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "standard_names = ['eastward_sea_water_velocity', 'northward_sea_water_velocity', \n",
    "        'sea_water_temperature', 'sea_water_practical_salinity', 'sea_floor_depth']\n",
    "\n",
    "# Select bounding box for sub-domain\n",
    "bbox = [-77, 38.5, -76, 40]\n",
    "\n",
    "# Select time range to keep\n",
    "today = pd.Timestamp.today()\n",
    "later_today = today + pd.Timedelta('12 hours')\n",
    "\n",
    "# Select out variables from Dataset\n",
    "ds_small = ds_cbofs.em.filter(standard_names).em.sub_grid(bbox=bbox).cf.sel(T=slice(today, later_today))\n",
    "\n",
    "# Size of subset\n",
    "print(f'Subdomain is {ds_small.nbytes/1e6} MB')\n",
    "\n",
    "# drop attributes for now, except need ROMS\n",
    "ds_small.attrs = {}\n",
    "ds_small.attrs['model'] = 'ROMS'\n",
    "\n",
    "# Save to file\n",
    "ds_small.to_netcdf('sample_roms.nc')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2efc3590-19da-492d-8d89-3bb02b5800cf",
   "metadata": {},
   "source": [
    "Read in saved file with `extract_model` to get vertical coord decoding back in!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "da3540d9-0c15-4467-a4de-0aeb6546b3fa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "346.98456\n"
     ]
    },
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:     (s_rho: 20, s_w: 21, eta_rho: 132, xi_rho: 332, ocean_time: 12,\n",
       "                 eta_u: 132, xi_u: 331, eta_v: 131, xi_v: 332, eta_psi: 131,\n",
       "                 xi_psi: 331)\n",
       "Coordinates: (12/21)\n",
       "  * s_rho       (s_rho) float64 -0.975 -0.925 -0.875 ... -0.125 -0.075 -0.025\n",
       "  * s_w         (s_w) float64 -1.0 -0.95 -0.9 -0.85 ... -0.15 -0.1 -0.05 0.0\n",
       "    lon_rho     (eta_rho, xi_rho) float64 dask.array&lt;chunksize=(132, 332), meta=np.ndarray&gt;\n",
       "    lat_rho     (eta_rho, xi_rho) float64 dask.array&lt;chunksize=(132, 332), meta=np.ndarray&gt;\n",
       "  * ocean_time  (ocean_time) datetime64[ns] 2022-08-25T11:00:00 ... 2022-08-2...\n",
       "  * xi_rho      (xi_rho) int64 0 1 2 3 4 5 6 7 ... 325 326 327 328 329 330 331\n",
       "    ...          ...\n",
       "  * xi_psi      (xi_psi) int64 0 1 2 3 4 5 6 7 ... 324 325 326 327 328 329 330\n",
       "  * eta_u       (eta_u) int64 0 1 2 3 4 5 6 7 ... 125 126 127 128 129 130 131\n",
       "  * eta_v       (eta_v) int64 0 1 2 3 4 5 6 7 ... 124 125 126 127 128 129 130\n",
       "  * eta_psi     (eta_psi) int64 0 1 2 3 4 5 6 7 ... 124 125 126 127 128 129 130\n",
       "    z_rho       (ocean_time, s_rho, eta_rho, xi_rho) float64 dask.array&lt;chunksize=(12, 20, 132, 332), meta=np.ndarray&gt;\n",
       "    z_w         (ocean_time, s_w, eta_rho, xi_rho) float64 dask.array&lt;chunksize=(12, 21, 132, 332), meta=np.ndarray&gt;\n",
       "Data variables: (12/13)\n",
       "    h           (eta_rho, xi_rho) float64 dask.array&lt;chunksize=(132, 332), meta=np.ndarray&gt;\n",
       "    zeta        (ocean_time, eta_rho, xi_rho) float32 dask.array&lt;chunksize=(12, 132, 332), meta=np.ndarray&gt;\n",
       "    hc          float64 ...\n",
       "    Cs_r        (s_rho) float64 dask.array&lt;chunksize=(20,), meta=np.ndarray&gt;\n",
       "    Cs_w        (s_w) float64 dask.array&lt;chunksize=(21,), meta=np.ndarray&gt;\n",
       "    mask_rho    (eta_rho, xi_rho) float64 dask.array&lt;chunksize=(132, 332), meta=np.ndarray&gt;\n",
       "    ...          ...\n",
       "    mask_v      (eta_v, xi_v) float64 dask.array&lt;chunksize=(131, 332), meta=np.ndarray&gt;\n",
       "    mask_psi    (eta_psi, xi_psi) float64 dask.array&lt;chunksize=(131, 331), meta=np.ndarray&gt;\n",
       "    u           (ocean_time, s_rho, eta_u, xi_u) float32 dask.array&lt;chunksize=(12, 20, 132, 331), meta=np.ndarray&gt;\n",
       "    v           (ocean_time, s_rho, eta_v, xi_v) float32 dask.array&lt;chunksize=(12, 20, 131, 332), meta=np.ndarray&gt;\n",
       "    temp        (ocean_time, s_rho, eta_rho, xi_rho) float32 dask.array&lt;chunksize=(12, 20, 132, 332), meta=np.ndarray&gt;\n",
       "    salt        (ocean_time, s_rho, eta_rho, xi_rho) float32 dask.array&lt;chunksize=(12, 20, 132, 332), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    model:    ROMS</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-42a8b6ee-6c2c-4941-b8df-c6808e8858af' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-42a8b6ee-6c2c-4941-b8df-c6808e8858af' 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'>s_rho</span>: 20</li><li><span class='xr-has-index'>s_w</span>: 21</li><li><span class='xr-has-index'>eta_rho</span>: 132</li><li><span class='xr-has-index'>xi_rho</span>: 332</li><li><span class='xr-has-index'>ocean_time</span>: 12</li><li><span class='xr-has-index'>eta_u</span>: 132</li><li><span class='xr-has-index'>xi_u</span>: 331</li><li><span class='xr-has-index'>eta_v</span>: 131</li><li><span class='xr-has-index'>xi_v</span>: 332</li><li><span class='xr-has-index'>eta_psi</span>: 131</li><li><span class='xr-has-index'>xi_psi</span>: 331</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-54a465c7-bde1-45b9-bb4a-4f4a01adb8d1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-54a465c7-bde1-45b9-bb4a-4f4a01adb8d1' class='xr-section-summary' >Coordinates: <span>(21)</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'>s_rho</span></div><div class='xr-var-dims'>(s_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.975 -0.925 ... -0.075 -0.025</div><input id='attrs-4c4e4672-3c49-4ace-ba04-c243fb82ec2a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c4e4672-3c49-4ace-ba04-c243fb82ec2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93aec906-b33b-4b1f-8d5a-a9777d1fa046' class='xr-var-data-in' type='checkbox'><label for='data-93aec906-b33b-4b1f-8d5a-a9777d1fa046' title='Show/Hide data repr'><svg 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>S-coordinate at RHO-points</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>standard_name :</span></dt><dd>ocean_s_coordinate_g1</dd><dt><span>formula_terms :</span></dt><dd>s: s_rho C: Cs_r eta: zeta depth: h depth_c: hc</dd><dt><span>field :</span></dt><dd>s_rho, scalar</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([-0.975, -0.925, -0.875, -0.825, -0.775, -0.725, -0.675, -0.625, -0.575,\n",
       "       -0.525, -0.475, -0.425, -0.375, -0.325, -0.275, -0.225, -0.175, -0.125,\n",
       "       -0.075, -0.025])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>s_w</span></div><div class='xr-var-dims'>(s_w)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.0 -0.95 -0.9 ... -0.1 -0.05 0.0</div><input id='attrs-c573a55c-3dbe-4c14-913c-d156be7cb0bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c573a55c-3dbe-4c14-913c-d156be7cb0bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-289bd939-1313-4e5b-b9fa-07b426d3109a' class='xr-var-data-in' type='checkbox'><label for='data-289bd939-1313-4e5b-b9fa-07b426d3109a' title='Show/Hide data repr'><svg 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>S-coordinate at W-points</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>standard_name :</span></dt><dd>ocean_s_coordinate_g1</dd><dt><span>formula_terms :</span></dt><dd>s: s_w C: Cs_w eta: zeta depth: h depth_c: hc</dd><dt><span>field :</span></dt><dd>s_w, scalar</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([-1.  , -0.95, -0.9 , -0.85, -0.8 , -0.75, -0.7 , -0.65, -0.6 , -0.55,\n",
       "       -0.5 , -0.45, -0.4 , -0.35, -0.3 , -0.25, -0.2 , -0.15, -0.1 , -0.05,\n",
       "        0.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_rho</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(132, 332), meta=np.ndarray&gt;</div><input id='attrs-a7ae0129-941b-4080-ac9c-c17f31f72438' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7ae0129-941b-4080-ac9c-c17f31f72438' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c386ea1-ad4d-4ac6-80d2-f18988402203' class='xr-var-data-in' type='checkbox'><label for='data-2c386ea1-ad4d-4ac6-80d2-f18988402203' title='Show/Hide data repr'><svg 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 RHO-points</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>field :</span></dt><dd>lon_rho, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 342.38 kiB </td>\n",
       "                        <td> 342.38 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (132, 332) </td>\n",
       "                        <td> (132, 332) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"97\" 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>lat_rho</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(132, 332), meta=np.ndarray&gt;</div><input id='attrs-dbc7ce3e-e128-404d-a104-8c93dc1bb3ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dbc7ce3e-e128-404d-a104-8c93dc1bb3ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db339d36-207b-4866-8736-263c7cb0efd9' class='xr-var-data-in' type='checkbox'><label for='data-db339d36-207b-4866-8736-263c7cb0efd9' title='Show/Hide data repr'><svg 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 RHO-points</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>field :</span></dt><dd>lat_rho, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 342.38 kiB </td>\n",
       "                        <td> 342.38 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (132, 332) </td>\n",
       "                        <td> (132, 332) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"97\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"47\" 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 class='xr-has-index'>ocean_time</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-08-25T11:00:00 ... 2022-08-...</div><input id='attrs-d40a8f30-d7f4-4bcd-9965-e2fe0b4a6ea8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d40a8f30-d7f4-4bcd-9965-e2fe0b4a6ea8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c856268-7113-4e78-8239-94bb04dcfaa5' class='xr-var-data-in' type='checkbox'><label for='data-4c856268-7113-4e78-8239-94bb04dcfaa5' title='Show/Hide data repr'><svg 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 since initialization</dd><dt><span>field :</span></dt><dd>time, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>512</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-08-25T11:00:00.000000000&#x27;, &#x27;2022-08-25T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T13:00:00.000000000&#x27;, &#x27;2022-08-25T14:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T15:00:00.000000000&#x27;, &#x27;2022-08-25T16:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T17:00:00.000000000&#x27;, &#x27;2022-08-25T18:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T19:00:00.000000000&#x27;, &#x27;2022-08-25T20:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T21:00:00.000000000&#x27;, &#x27;2022-08-25T22:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xi_rho</span></div><div class='xr-var-dims'>(xi_rho)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 327 328 329 330 331</div><input id='attrs-166d20ba-9d3b-48f9-bcf6-0384a9d90787' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-166d20ba-9d3b-48f9-bcf6-0384a9d90787' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37fcd974-ee58-451f-81fb-25728a8e2cbf' class='xr-var-data-in' type='checkbox'><label for='data-37fcd974-ee58-451f-81fb-25728a8e2cbf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 329, 330, 331])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>eta_rho</span></div><div class='xr-var-dims'>(eta_rho)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 127 128 129 130 131</div><input id='attrs-0b1e97f7-1d1c-4c27-98dd-96a76fd8ea51' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b1e97f7-1d1c-4c27-98dd-96a76fd8ea51' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a510c3c1-6f2b-4eb5-804a-a85d6128ae94' class='xr-var-data-in' type='checkbox'><label for='data-a510c3c1-6f2b-4eb5-804a-a85d6128ae94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,\n",
       "        14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,\n",
       "        28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,\n",
       "        42,  43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,\n",
       "        56,  57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,\n",
       "        70,  71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,\n",
       "        84,  85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,\n",
       "        98,  99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,\n",
       "       112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125,\n",
       "       126, 127, 128, 129, 130, 131])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_u</span></div><div class='xr-var-dims'>(eta_u, xi_u)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(132, 331), meta=np.ndarray&gt;</div><input id='attrs-5b0da68d-65a0-45cb-867a-6a32a56cba06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b0da68d-65a0-45cb-867a-6a32a56cba06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f3ec8a2-fc86-4b51-8033-05f4f0093b3c' class='xr-var-data-in' type='checkbox'><label for='data-7f3ec8a2-fc86-4b51-8033-05f4f0093b3c' title='Show/Hide data repr'><svg 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 U-points</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>field :</span></dt><dd>lon_u, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 341.34 kiB </td>\n",
       "                        <td> 341.34 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (132, 331) </td>\n",
       "                        <td> (132, 331) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "        <svg width=\"170\" height=\"97\" 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>lat_u</span></div><div class='xr-var-dims'>(eta_u, xi_u)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(132, 331), meta=np.ndarray&gt;</div><input id='attrs-3fd2e72b-504d-400c-8a73-19fe40aaaf91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fd2e72b-504d-400c-8a73-19fe40aaaf91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a89438df-8fc9-43cb-a3af-00aa2beb4b7d' class='xr-var-data-in' type='checkbox'><label for='data-a89438df-8fc9-43cb-a3af-00aa2beb4b7d' title='Show/Hide data repr'><svg 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 U-points</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>field :</span></dt><dd>lat_u, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 341.34 kiB </td>\n",
       "                        <td> 341.34 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (132, 331) </td>\n",
       "                        <td> (132, 331) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,47.854984894259815 0.0,47.854984894259815\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
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       "  <text x=\"60.000000\" y=\"67.854985\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >331</text>\n",
       "  <text x=\"140.000000\" y=\"23.927492\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,23.927492)\">132</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_v</span></div><div class='xr-var-dims'>(eta_v, xi_v)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(131, 332), meta=np.ndarray&gt;</div><input id='attrs-b6a630ca-f300-4c5a-b584-4c2581f4c193' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6a630ca-f300-4c5a-b584-4c2581f4c193' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-defa0870-3ec5-4ed3-bf7e-668528284b11' class='xr-var-data-in' type='checkbox'><label for='data-defa0870-3ec5-4ed3-bf7e-668528284b11' title='Show/Hide data repr'><svg 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 V-points</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>field :</span></dt><dd>lon_v, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 339.78 kiB </td>\n",
       "                        <td> 339.78 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (131, 332) </td>\n",
       "                        <td> (131, 332) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"97\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_v</span></div><div class='xr-var-dims'>(eta_v, xi_v)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(131, 332), meta=np.ndarray&gt;</div><input id='attrs-5bee1bfd-bce6-4637-b964-3a206245b59a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5bee1bfd-bce6-4637-b964-3a206245b59a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-caf0154e-1536-4e28-b38c-935e162f77e6' class='xr-var-data-in' type='checkbox'><label for='data-caf0154e-1536-4e28-b38c-935e162f77e6' title='Show/Hide data repr'><svg 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 V-points</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>field :</span></dt><dd>lat_v, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 339.78 kiB </td>\n",
       "                        <td> 339.78 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (131, 332) </td>\n",
       "                        <td> (131, 332) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"97\" 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=\"47\" x2=\"120\" y2=\"47\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"47\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"47\" style=\"stroke-width:2\" />\n",
       "\n",
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       "  <text x=\"60.000000\" y=\"67.349398\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >332</text>\n",
       "  <text x=\"140.000000\" y=\"23.674699\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,23.674699)\">131</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_psi</span></div><div class='xr-var-dims'>(eta_psi, xi_psi)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(131, 331), meta=np.ndarray&gt;</div><input id='attrs-026faa09-8653-431a-a907-262f30ddbb49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-026faa09-8653-431a-a907-262f30ddbb49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d6f476a-9845-46d6-a1cb-fcef1b148af2' class='xr-var-data-in' type='checkbox'><label for='data-4d6f476a-9845-46d6-a1cb-fcef1b148af2' title='Show/Hide data repr'><svg 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 PSI-points</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>field :</span></dt><dd>lon_psi, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 338.76 kiB </td>\n",
       "                        <td> 338.76 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (131, 331) </td>\n",
       "                        <td> (131, 331) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"97\" 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=\"47\" x2=\"120\" y2=\"47\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"47\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"47\" style=\"stroke-width:2\" />\n",
       "\n",
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       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,47.492447129909365 0.0,47.492447129909365\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"67.492447\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >331</text>\n",
       "  <text x=\"140.000000\" y=\"23.746224\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,23.746224)\">131</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_psi</span></div><div class='xr-var-dims'>(eta_psi, xi_psi)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(131, 331), meta=np.ndarray&gt;</div><input id='attrs-87b147c2-7ebb-4ab9-a405-60cb06d88b91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87b147c2-7ebb-4ab9-a405-60cb06d88b91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb7e2d2c-20c5-468b-b6e5-9baf7c0b0593' class='xr-var-data-in' type='checkbox'><label for='data-eb7e2d2c-20c5-468b-b6e5-9baf7c0b0593' title='Show/Hide data repr'><svg 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 PSI-points</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>field :</span></dt><dd>lat_psi, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 338.76 kiB </td>\n",
       "                        <td> 338.76 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (131, 331) </td>\n",
       "                        <td> (131, 331) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"97\" 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=\"47\" x2=\"120\" y2=\"47\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"47\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"47\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,47.492447129909365 0.0,47.492447129909365\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"67.492447\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >331</text>\n",
       "  <text x=\"140.000000\" y=\"23.746224\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,23.746224)\">131</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xi_u</span></div><div class='xr-var-dims'>(xi_u)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 326 327 328 329 330</div><input id='attrs-b3d8826c-f96f-4530-8b00-9022034bde3d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3d8826c-f96f-4530-8b00-9022034bde3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-460ecd30-123e-406e-889a-dc557f748d74' class='xr-var-data-in' type='checkbox'><label for='data-460ecd30-123e-406e-889a-dc557f748d74' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 328, 329, 330])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xi_v</span></div><div class='xr-var-dims'>(xi_v)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 327 328 329 330 331</div><input id='attrs-3bb5256f-f5d4-4df3-a491-fb6d02e9500f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3bb5256f-f5d4-4df3-a491-fb6d02e9500f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d403756-b23b-41d6-b9b4-6a59d9116fe7' class='xr-var-data-in' type='checkbox'><label for='data-9d403756-b23b-41d6-b9b4-6a59d9116fe7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 329, 330, 331])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xi_psi</span></div><div class='xr-var-dims'>(xi_psi)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 326 327 328 329 330</div><input id='attrs-35038e59-055d-4694-951a-c5893612070b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35038e59-055d-4694-951a-c5893612070b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e63abc12-348d-4464-983c-31ce9b91416f' class='xr-var-data-in' type='checkbox'><label for='data-e63abc12-348d-4464-983c-31ce9b91416f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 328, 329, 330])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>eta_u</span></div><div class='xr-var-dims'>(eta_u)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 127 128 129 130 131</div><input id='attrs-fab19095-0f3f-4a8a-a78d-33242d26b92f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fab19095-0f3f-4a8a-a78d-33242d26b92f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7f54d8d-6792-48bd-a30d-8def651ca7f3' class='xr-var-data-in' type='checkbox'><label for='data-b7f54d8d-6792-48bd-a30d-8def651ca7f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,\n",
       "        14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,\n",
       "        28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,\n",
       "        42,  43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,\n",
       "        56,  57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,\n",
       "        70,  71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,\n",
       "        84,  85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,\n",
       "        98,  99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,\n",
       "       112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125,\n",
       "       126, 127, 128, 129, 130, 131])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>eta_v</span></div><div class='xr-var-dims'>(eta_v)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 126 127 128 129 130</div><input id='attrs-f52c422d-7487-4497-b017-18f222a5e5a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f52c422d-7487-4497-b017-18f222a5e5a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a1926d3-cae5-4144-b5c7-504a10fac253' class='xr-var-data-in' type='checkbox'><label for='data-2a1926d3-cae5-4144-b5c7-504a10fac253' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,\n",
       "        14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,\n",
       "        28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,\n",
       "        42,  43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,\n",
       "        56,  57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,\n",
       "        70,  71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,\n",
       "        84,  85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,\n",
       "        98,  99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,\n",
       "       112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125,\n",
       "       126, 127, 128, 129, 130])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>eta_psi</span></div><div class='xr-var-dims'>(eta_psi)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 126 127 128 129 130</div><input id='attrs-3e96d6bc-65ca-4b1c-84da-cd5a65db9abd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e96d6bc-65ca-4b1c-84da-cd5a65db9abd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80a0cc54-3d96-42b6-8d73-dcc3a7ad806a' class='xr-var-data-in' type='checkbox'><label for='data-80a0cc54-3d96-42b6-8d73-dcc3a7ad806a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,\n",
       "        14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,\n",
       "        28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,\n",
       "        42,  43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,\n",
       "        56,  57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,\n",
       "        70,  71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,\n",
       "        84,  85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,\n",
       "        98,  99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,\n",
       "       112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125,\n",
       "       126, 127, 128, 129, 130])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_rho</span></div><div class='xr-var-dims'>(ocean_time, s_rho, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 20, 132, 332), meta=np.ndarray&gt;</div><input id='attrs-b096f016-f5ad-42f0-b73f-18fab4bffb76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b096f016-f5ad-42f0-b73f-18fab4bffb76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc4d926e-1b9f-416c-bd64-89e0e35fcd6d' class='xr-var-data-in' type='checkbox'><label for='data-dc4d926e-1b9f-416c-bd64-89e0e35fcd6d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>positive :</span></dt><dd>up</dd><dt><span>units :</span></dt><dd>m</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>z_w</span></div><div class='xr-var-dims'>(ocean_time, s_w, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 21, 132, 332), meta=np.ndarray&gt;</div><input id='attrs-131a5f71-9cd5-4f01-a7e7-8689770d279c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-131a5f71-9cd5-4f01-a7e7-8689770d279c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ac2ae09-7ae7-4e4b-a53f-bef239880953' class='xr-var-data-in' type='checkbox'><label for='data-8ac2ae09-7ae7-4e4b-a53f-bef239880953' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>positive :</span></dt><dd>up</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-4f589770-4258-4d71-8bd0-fce639bb22f2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4f589770-4258-4d71-8bd0-fce639bb22f2' class='xr-section-summary' >Data variables: <span>(13)</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>h</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(132, 332), meta=np.ndarray&gt;</div><input id='attrs-098cc4d1-9441-4f37-841e-1a6fe7c34d0d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-098cc4d1-9441-4f37-841e-1a6fe7c34d0d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec77e57c-87c7-4ef7-aafe-548faf42306d' class='xr-var-data-in' type='checkbox'><label for='data-ec77e57c-87c7-4ef7-aafe-548faf42306d' title='Show/Hide data repr'><svg 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>bathymetry at RHO-points</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>bath, scalar</dd><dt><span>standard_name :</span></dt><dd>sea_floor_depth</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> 342.38 kiB </td>\n",
       "                        <td> 342.38 kiB </td>\n",
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       "                        <td> (132, 332) </td>\n",
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       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hc</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3354b920-b058-4567-a1b9-e77f2108e237' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3354b920-b058-4567-a1b9-e77f2108e237' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df72509e-59a7-40dc-be59-f4c80841ce02' class='xr-var-data-in' type='checkbox'><label for='data-df72509e-59a7-40dc-be59-f4c80841ce02' title='Show/Hide data repr'><svg 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>S-coordinate parameter, critical depth</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Cs_r</span></div><div class='xr-var-dims'>(s_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(20,), meta=np.ndarray&gt;</div><input id='attrs-9933e572-4fa7-424d-bb4f-b7281a858ac1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9933e572-4fa7-424d-bb4f-b7281a858ac1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-981967d4-f6f6-472b-9334-35dff5509d93' class='xr-var-data-in' type='checkbox'><label for='data-981967d4-f6f6-472b-9334-35dff5509d93' title='Show/Hide data repr'><svg 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>S-coordinate stretching curves at RHO-points</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>field :</span></dt><dd>Cs_r, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 160 B </td>\n",
       "                        <td> 160 B </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (20,) </td>\n",
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       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Cs_w</span></div><div class='xr-var-dims'>(s_w)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(21,), meta=np.ndarray&gt;</div><input id='attrs-85b22f59-ae9d-4871-84fc-f6b58194a2cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85b22f59-ae9d-4871-84fc-f6b58194a2cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1f5499e-0899-40ed-a90d-615141032fcc' class='xr-var-data-in' type='checkbox'><label for='data-e1f5499e-0899-40ed-a90d-615141032fcc' title='Show/Hide data repr'><svg 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>S-coordinate stretching curves at W-points</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>field :</span></dt><dd>Cs_w, scalar</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask_rho</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(132, 332), meta=np.ndarray&gt;</div><input id='attrs-0a818dfb-025f-4b53-84d5-78a0f82e22ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a818dfb-025f-4b53-84d5-78a0f82e22ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47ce07f9-1fd9-4659-9e6f-c0fa23b80385' class='xr-var-data-in' type='checkbox'><label for='data-47ce07f9-1fd9-4659-9e6f-c0fa23b80385' title='Show/Hide data repr'><svg 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>mask on RHO-points</dd><dt><span>flag_values :</span></dt><dd>[0. 1.]</dd><dt><span>flag_meanings :</span></dt><dd>land water</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</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>mask_u</span></div><div class='xr-var-dims'>(eta_u, xi_u)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(132, 331), meta=np.ndarray&gt;</div><input id='attrs-4a620370-28e3-4037-8ad6-d3fc64747d26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a620370-28e3-4037-8ad6-d3fc64747d26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75b965a7-4df0-4697-8f4c-831daa09a860' class='xr-var-data-in' type='checkbox'><label for='data-75b965a7-4df0-4697-8f4c-831daa09a860' title='Show/Hide data repr'><svg 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>mask on U-points</dd><dt><span>flag_values :</span></dt><dd>[0. 1.]</dd><dt><span>flag_meanings :</span></dt><dd>land water</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge1</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> 40.12 MiB </td>\n",
       "                        <td> 40.12 MiB </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt</span></div><div class='xr-var-dims'>(ocean_time, s_rho, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 20, 132, 332), meta=np.ndarray&gt;</div><input id='attrs-c94ed8d4-5571-40b7-bd12-ca5e0847ec74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c94ed8d4-5571-40b7-bd12-ca5e0847ec74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e427e06e-facc-4fd3-b365-716da296367d' class='xr-var-data-in' type='checkbox'><label for='data-e427e06e-facc-4fd3-b365-716da296367d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>salinity</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>salinity, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1  10 146 166]</dd><dt><span>standard_name :</span></dt><dd>sea_water_practical_salinity</dd></dl></div><div class='xr-var-data'><table>\n",
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      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:     (s_rho: 20, s_w: 21, eta_rho: 132, xi_rho: 332, ocean_time: 12,\n",
       "                 eta_u: 132, xi_u: 331, eta_v: 131, xi_v: 332, eta_psi: 131,\n",
       "                 xi_psi: 331)\n",
       "Coordinates: (12/21)\n",
       "  * s_rho       (s_rho) float64 -0.975 -0.925 -0.875 ... -0.125 -0.075 -0.025\n",
       "  * s_w         (s_w) float64 -1.0 -0.95 -0.9 -0.85 ... -0.15 -0.1 -0.05 0.0\n",
       "    lon_rho     (eta_rho, xi_rho) float64 dask.array<chunksize=(132, 332), meta=np.ndarray>\n",
       "    lat_rho     (eta_rho, xi_rho) float64 dask.array<chunksize=(132, 332), meta=np.ndarray>\n",
       "  * ocean_time  (ocean_time) datetime64[ns] 2022-08-25T11:00:00 ... 2022-08-2...\n",
       "  * xi_rho      (xi_rho) int64 0 1 2 3 4 5 6 7 ... 325 326 327 328 329 330 331\n",
       "    ...          ...\n",
       "  * xi_psi      (xi_psi) int64 0 1 2 3 4 5 6 7 ... 324 325 326 327 328 329 330\n",
       "  * eta_u       (eta_u) int64 0 1 2 3 4 5 6 7 ... 125 126 127 128 129 130 131\n",
       "  * eta_v       (eta_v) int64 0 1 2 3 4 5 6 7 ... 124 125 126 127 128 129 130\n",
       "  * eta_psi     (eta_psi) int64 0 1 2 3 4 5 6 7 ... 124 125 126 127 128 129 130\n",
       "    z_rho       (ocean_time, s_rho, eta_rho, xi_rho) float64 dask.array<chunksize=(12, 20, 132, 332), meta=np.ndarray>\n",
       "    z_w         (ocean_time, s_w, eta_rho, xi_rho) float64 dask.array<chunksize=(12, 21, 132, 332), meta=np.ndarray>\n",
       "Data variables: (12/13)\n",
       "    h           (eta_rho, xi_rho) float64 dask.array<chunksize=(132, 332), meta=np.ndarray>\n",
       "    zeta        (ocean_time, eta_rho, xi_rho) float32 dask.array<chunksize=(12, 132, 332), meta=np.ndarray>\n",
       "    hc          float64 ...\n",
       "    Cs_r        (s_rho) float64 dask.array<chunksize=(20,), meta=np.ndarray>\n",
       "    Cs_w        (s_w) float64 dask.array<chunksize=(21,), meta=np.ndarray>\n",
       "    mask_rho    (eta_rho, xi_rho) float64 dask.array<chunksize=(132, 332), meta=np.ndarray>\n",
       "    ...          ...\n",
       "    mask_v      (eta_v, xi_v) float64 dask.array<chunksize=(131, 332), meta=np.ndarray>\n",
       "    mask_psi    (eta_psi, xi_psi) float64 dask.array<chunksize=(131, 331), meta=np.ndarray>\n",
       "    u           (ocean_time, s_rho, eta_u, xi_u) float32 dask.array<chunksize=(12, 20, 132, 331), meta=np.ndarray>\n",
       "    v           (ocean_time, s_rho, eta_v, xi_v) float32 dask.array<chunksize=(12, 20, 131, 332), meta=np.ndarray>\n",
       "    temp        (ocean_time, s_rho, eta_rho, xi_rho) float32 dask.array<chunksize=(12, 20, 132, 332), meta=np.ndarray>\n",
       "    salt        (ocean_time, s_rho, eta_rho, xi_rho) float32 dask.array<chunksize=(12, 20, 132, 332), meta=np.ndarray>\n",
       "Attributes:\n",
       "    model:    ROMS"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_small2 = xr.open_mfdataset(['sample_roms.nc'], preprocess=em.preprocess)\n",
    "print(ds_small2.nbytes/1e6)\n",
    "ds_small2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "cfa519a1-29c9-4402-974f-9276ea10599a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "173.196584"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_small2[['z_rho','z_w']].nbytes/1e6"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91c34a27-95ee-4ab4-8877-a4fb50c29981",
   "metadata": {},
   "source": [
    "### 2. Rectilinear grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "e69c3928-0435-456e-b533-752cc88ac186",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Subdomain is 130.608112 MB\n",
      "CPU times: user 9.7 s, sys: 8.77 s, total: 18.5 s\n",
      "Wall time: 2min 48s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "standard_names = ['eastward_sea_water_velocity', 'northward_sea_water_velocity', \n",
    "        'sea_water_temperature', 'sea_water_practical_salinity', 'sea_floor_depth']\n",
    "\n",
    "# Select bounding box for sub-domain\n",
    "bbox = [-77, 38.5, -76, 40]\n",
    "\n",
    "# Select time range to keep\n",
    "today = pd.Timestamp.today()\n",
    "later_today = today + pd.Timedelta('12 hours')\n",
    "\n",
    "# Select out variables from Dataset\n",
    "ds_small_rg = ds_cbofs_rg.em.filter(standard_names).em.sub_grid(bbox=bbox).cf.sel(T=slice(today, later_today))\n",
    "\n",
    "# Size of subset\n",
    "print(f'Subdomain is {ds_small_rg.nbytes/1e6} MB')\n",
    "\n",
    "# Save to file\n",
    "ds_small_rg.to_netcdf('sample_roms_rg.nc')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4194e0d-e55a-4e50-a843-e7fe771f9c0e",
   "metadata": {},
   "source": [
    "Read in saved file with `extract_model` to get vertical coord decoding back in!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "09830ae3-1e7f-4642-979f-ee38280e8c67",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "130.608112\n"
     ]
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (ny: 226, nx: 199, ocean_time: 12, Depth: 15)\n",
       "Coordinates:\n",
       "  * Depth        (Depth) float64 0.0 2.0 4.0 6.0 8.0 ... 35.0 40.0 45.0 50.0\n",
       "    Latitude     (ny, nx) float64 dask.array&lt;chunksize=(226, 199), meta=np.ndarray&gt;\n",
       "    Longitude    (ny, nx) float64 dask.array&lt;chunksize=(226, 199), meta=np.ndarray&gt;\n",
       "  * ocean_time   (ocean_time) datetime64[ns] 2022-08-25T11:00:00 ... 2022-08-...\n",
       "  * nx           (nx) int64 69 70 71 72 73 74 75 ... 261 262 263 264 265 266 267\n",
       "  * ny           (ny) int64 467 468 469 470 471 472 ... 687 688 689 690 691 692\n",
       "Data variables:\n",
       "    h            (ny, nx) float64 dask.array&lt;chunksize=(226, 199), meta=np.ndarray&gt;\n",
       "    u_eastward   (ocean_time, Depth, ny, nx) float32 dask.array&lt;chunksize=(12, 15, 226, 199), meta=np.ndarray&gt;\n",
       "    v_northward  (ocean_time, Depth, ny, nx) float32 dask.array&lt;chunksize=(12, 15, 226, 199), meta=np.ndarray&gt;\n",
       "    temp         (ocean_time, Depth, ny, nx) float32 dask.array&lt;chunksize=(12, 15, 226, 199), meta=np.ndarray&gt;\n",
       "    salt         (ocean_time, Depth, ny, nx) float32 dask.array&lt;chunksize=(12, 15, 226, 199), meta=np.ndarray&gt;\n",
       "Attributes: (12/36)\n",
       "    file:                            nos.cbofs.fields.nowcast.20220825.t12z_0...\n",
       "    format:                          netCDF-4/HDF5 file\n",
       "    Conventions:                     CF-1.4, SGRID-0.3\n",
       "    type:                            ROMS/TOMS history file\n",
       "    title:                           cbofs nowcast RUN in operational mode\n",
       "    var_info:                        varinfo.dat\n",
       "    ...                              ...\n",
       "    tiling:                          008x016\n",
       "    history:                         ROMS/TOMS, Version 3.9, Thursday - Augus...\n",
       "    ana_file:                        ROMS/Functionals/ana_btflux.h, ROMS/Func...\n",
       "    CPP_options:                     mode, ADD_FSOBC, ADD_M2OBC, ANA_BPFLUX, ...\n",
       "    bio_file:                        ROMS/Nonlinear/Biology/hypoxia_srm.h\n",
       "    DODS_EXTRA.Unlimited_Dimension:  ocean_time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6fa23bf7-72bb-484b-a8e9-bd7ec8c44755' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6fa23bf7-72bb-484b-a8e9-bd7ec8c44755' 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'>ny</span>: 226</li><li><span class='xr-has-index'>nx</span>: 199</li><li><span class='xr-has-index'>ocean_time</span>: 12</li><li><span class='xr-has-index'>Depth</span>: 15</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a316e8d9-41cf-45ed-b8e4-e697e12a05a6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a316e8d9-41cf-45ed-b8e4-e697e12a05a6' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Depth</span></div><div class='xr-var-dims'>(Depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 6.0 ... 40.0 45.0 50.0</div><input id='attrs-f1614b7e-e55b-485a-a80f-b202aad8ba38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1614b7e-e55b-485a-a80f-b202aad8ba38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-beebd043-9a0e-4210-a481-e26a98d5c36a' class='xr-var-data-in' type='checkbox'><label for='data-beebd043-9a0e-4210-a481-e26a98d5c36a' title='Show/Hide data repr'><svg 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>Depths of Standard Layer</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  2.,  4.,  6.,  8., 10., 12., 15., 20., 25., 30., 35., 40., 45.,\n",
       "       50.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Latitude</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(226, 199), meta=np.ndarray&gt;</div><input id='attrs-ace21d7a-c89a-421a-9444-a90fc186c195' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ace21d7a-c89a-421a-9444-a90fc186c195' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ea7c883-b6f0-43fd-9458-2afaba2f073c' class='xr-var-data-in' type='checkbox'><label for='data-6ea7c883-b6f0-43fd-9458-2afaba2f073c' title='Show/Hide data repr'><svg 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 in common grid</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Longitude</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(226, 199), meta=np.ndarray&gt;</div><input id='attrs-1f6728a9-ecfb-40f9-9022-e5fe96a8a92f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f6728a9-ecfb-40f9-9022-e5fe96a8a92f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9bedb277-4efc-4d37-a2f2-3a44ab386ba3' class='xr-var-data-in' type='checkbox'><label for='data-9bedb277-4efc-4d37-a2f2-3a44ab386ba3' title='Show/Hide data repr'><svg 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 in common grid</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ocean_time</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-08-25T11:00:00 ... 2022-08-...</div><input id='attrs-98c2ee6a-4f3a-4584-ac76-bb6f55a701ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98c2ee6a-4f3a-4584-ac76-bb6f55a701ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72298b54-71c8-478a-b559-fbd084ffa998' class='xr-var-data-in' type='checkbox'><label for='data-72298b54-71c8-478a-b559-fbd084ffa998' title='Show/Hide data repr'><svg 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 since initialization</dd><dt><span>field :</span></dt><dd>time, scalar, series</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-08-25T11:00:00.000000000&#x27;, &#x27;2022-08-25T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T13:00:00.000000000&#x27;, &#x27;2022-08-25T14:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T15:00:00.000000000&#x27;, &#x27;2022-08-25T16:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T17:00:00.000000000&#x27;, &#x27;2022-08-25T18:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T19:00:00.000000000&#x27;, &#x27;2022-08-25T20:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T21:00:00.000000000&#x27;, &#x27;2022-08-25T22:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>nx</span></div><div class='xr-var-dims'>(nx)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>69 70 71 72 73 ... 264 265 266 267</div><input id='attrs-136eaff1-0f9a-4553-a35e-18e802064104' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-136eaff1-0f9a-4553-a35e-18e802064104' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83e9a422-3c94-47f5-b5b1-1e003305b0b8' class='xr-var-data-in' type='checkbox'><label for='data-83e9a422-3c94-47f5-b5b1-1e003305b0b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([ 69,  70,  71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,\n",
       "        83,  84,  85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,\n",
       "        97,  98,  99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110,\n",
       "       111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124,\n",
       "       125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138,\n",
       "       139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152,\n",
       "       153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166,\n",
       "       167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180,\n",
       "       181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194,\n",
       "       195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208,\n",
       "       209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222,\n",
       "       223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236,\n",
       "       237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250,\n",
       "       251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264,\n",
       "       265, 266, 267])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ny</span></div><div class='xr-var-dims'>(ny)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>467 468 469 470 ... 689 690 691 692</div><input id='attrs-dd34131f-8d48-479e-a744-226a68019d27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd34131f-8d48-479e-a744-226a68019d27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c44aeee-be7c-4445-ab1a-1fd48f6fecdb' class='xr-var-data-in' type='checkbox'><label for='data-9c44aeee-be7c-4445-ab1a-1fd48f6fecdb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([467, 468, 469, ..., 690, 691, 692])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-57d9c216-d1a5-480f-a48d-27d62bff86d0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-57d9c216-d1a5-480f-a48d-27d62bff86d0' class='xr-section-summary' >Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>h</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(226, 199), meta=np.ndarray&gt;</div><input id='attrs-012030ad-5300-4559-bdb3-05b165dec408' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-012030ad-5300-4559-bdb3-05b165dec408' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-acd95f77-c8e9-4836-8c48-63d20c6d24e3' class='xr-var-data-in' type='checkbox'><label for='data-acd95f77-c8e9-4836-8c48-63d20c6d24e3' title='Show/Hide data repr'><svg 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>bathymetry</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>bath, scaler</dd><dt><span>standard_name :</span></dt><dd>sea_floor_depth</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 351.36 kiB </td>\n",
       "                        <td> 351.36 kiB </td>\n",
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       "                        <td> (226, 199) </td>\n",
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       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_eastward</span></div><div class='xr-var-dims'>(ocean_time, Depth, ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 15, 226, 199), meta=np.ndarray&gt;</div><input id='attrs-dca674d1-e00d-4157-b3de-ff220cf3d0e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dca674d1-e00d-4157-b3de-ff220cf3d0e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-693a1979-6299-419a-9271-388d4ae50626' class='xr-var-data-in' type='checkbox'><label for='data-693a1979-6299-419a-9271-388d4ae50626' title='Show/Hide data repr'><svg 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>eastward momentum component</dd><dt><span>units :</span></dt><dd>meters second-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>standard_name :</span></dt><dd>eastward_sea_water_velocity</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>u_eastward, scalar, series</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-1a88b9d4-7325-4c92-8dbb-04d71a33804f' class='xr-section-summary-in' type='checkbox'  ><label for='section-1a88b9d4-7325-4c92-8dbb-04d71a33804f' class='xr-section-summary' >Attributes: <span>(36)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>file :</span></dt><dd>nos.cbofs.fields.nowcast.20220825.t12z_0002.nc</dd><dt><span>format :</span></dt><dd>netCDF-4/HDF5 file</dd><dt><span>Conventions :</span></dt><dd>CF-1.4, SGRID-0.3</dd><dt><span>type :</span></dt><dd>ROMS/TOMS history file</dd><dt><span>title :</span></dt><dd>cbofs nowcast RUN in operational mode</dd><dt><span>var_info :</span></dt><dd>varinfo.dat</dd><dt><span>rst_file :</span></dt><dd>nos.cbofs.rst.nowcast.20220825.t12z.nc</dd><dt><span>his_base :</span></dt><dd>nos.cbofs.fields.nowcast.20220825.t12z</dd><dt><span>sta_file :</span></dt><dd>nos.cbofs.stations.nowcast.20220825.t12z.nc</dd><dt><span>grd_file :</span></dt><dd>nos.cbofs.romsgrid.nc</dd><dt><span>ini_file :</span></dt><dd>nos.cbofs.init.nowcast.20220825.t12z.nc</dd><dt><span>tide_file :</span></dt><dd>nos.cbofs.roms.tides.nc</dd><dt><span>frc_file_01 :</span></dt><dd>nos.cbofs.met.nowcast.20220825.t12z.nc</dd><dt><span>frc_file_02 :</span></dt><dd>nos.cbofs.respirate.nc</dd><dt><span>bry_file_01 :</span></dt><dd>nos.cbofs.obc.20220825.t12z.nc</dd><dt><span>script_file :</span></dt><dd>cbofs_ROMS_nowcast.in</dd><dt><span>bpar_file :</span></dt><dd>nos.cbofs.bio.in</dd><dt><span>spos_file :</span></dt><dd>nos.cbofs.stations.in</dd><dt><span>NLM_TADV :</span></dt><dd>\n",
       "ADVECTION:   HORIZONTAL   VERTICAL     \n",
       "temp:        HSIMT        HSIMT        \n",
       "salt:        HSIMT        HSIMT        \n",
       "oxygen:      HSIMT        HSIMT</dd><dt><span>NLM_LBC :</span></dt><dd>\n",
       "EDGE:    WEST   SOUTH  EAST   NORTH  \n",
       "zeta:    Clo    Cha    Cha    Clo    \n",
       "ubar:    Clo    Fla    Fla    Clo    \n",
       "vbar:    Clo    Fla    Fla    Clo    \n",
       "u:       Clo    Rad    Rad    Clo    \n",
       "v:       Clo    Rad    Rad    Clo    \n",
       "temp:    Clo    RadNud RadNud Clo    \n",
       "salt:    Clo    RadNud RadNud Clo    \n",
       "oxygen:  Clo    RadNud RadNud Clo    \n",
       "tke:     Clo    Gra    Gra    Clo</dd><dt><span>svn_url :</span></dt><dd></dd><dt><span>svn_rev :</span></dt><dd></dd><dt><span>code_dir :</span></dt><dd>/lfs/h1/ops/prod/packages/nosofs.v3.4.2/sorc/ROMS.fd</dd><dt><span>header_dir :</span></dt><dd>/lfs/h1/ops/prod/packages/nosofs.v3.4.2/sorc/ROMS.fd/ROMS/Include</dd><dt><span>header_file :</span></dt><dd>cbofs.h</dd><dt><span>os :</span></dt><dd>Linux</dd><dt><span>cpu :</span></dt><dd>x86_64</dd><dt><span>compiler_system :</span></dt><dd>ftn-intel</dd><dt><span>compiler_command :</span></dt><dd>/opt/cray/pe/craype/2.7.10/bin/ftn</dd><dt><span>compiler_flags :</span></dt><dd>-fp-model precise -ip -O2</dd><dt><span>tiling :</span></dt><dd>008x016</dd><dt><span>history :</span></dt><dd>ROMS/TOMS, Version 3.9, Thursday - August 25, 2022 - 12:48:02 PM</dd><dt><span>ana_file :</span></dt><dd>ROMS/Functionals/ana_btflux.h, ROMS/Functionals/ana_rain.h, ROMS/Functionals/ana_stflux.h</dd><dt><span>CPP_options :</span></dt><dd>mode, ADD_FSOBC, ADD_M2OBC, ANA_BPFLUX, ANA_BSFLUX, ANA_BTFLUX, ANA_RAIN, ANA_SPFLUX, ANA_SSFLUX, ASSUMED_SHAPE, ATM_PRESS, !BOUNDARY_ALLGATHER, BULK_FLUXES, !COLLECT_ALL..., CURVGRID, DIFF_GRID, DJ_GRADPS, DOUBLE_PRECISION, EMINUSP, GLS_MIXING, HDF5, HYPOXIA_SRM, LIMIT_STFLX_COOLING, KANTHA_CLAYSON, LONGWAVE_OUT, MASKING, MIX_GEO_TS, MIX_S_UV, MPI, NONLINEAR, NONLIN_EOS, NO_LBC_ATT, N2S2_HORAVG, PERFECT_RESTART, POWER_LAW, PROFILE, K_GSCHEME, RADIATION_2D, REDUCE_ALLREDUCE, !RST_SINGLE, SALINITY, SOLAR_SOURCE, SOLVE3D, SSH_TIDES, STATIONS, SURFACE_DO_SATURATION, TS_DIF2, UV_ADV, UV_COR, UV_U3HADVECTION, UV_C4VADVECTION, UV_QDRAG, UV_TIDES, UV_VIS2, VAR_RHO_2D, VISC_GRID</dd><dt><span>bio_file :</span></dt><dd>ROMS/Nonlinear/Biology/hypoxia_srm.h</dd><dt><span>DODS_EXTRA.Unlimited_Dimension :</span></dt><dd>ocean_time</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (ny: 226, nx: 199, ocean_time: 12, Depth: 15)\n",
       "Coordinates:\n",
       "  * Depth        (Depth) float64 0.0 2.0 4.0 6.0 8.0 ... 35.0 40.0 45.0 50.0\n",
       "    Latitude     (ny, nx) float64 dask.array<chunksize=(226, 199), meta=np.ndarray>\n",
       "    Longitude    (ny, nx) float64 dask.array<chunksize=(226, 199), meta=np.ndarray>\n",
       "  * ocean_time   (ocean_time) datetime64[ns] 2022-08-25T11:00:00 ... 2022-08-...\n",
       "  * nx           (nx) int64 69 70 71 72 73 74 75 ... 261 262 263 264 265 266 267\n",
       "  * ny           (ny) int64 467 468 469 470 471 472 ... 687 688 689 690 691 692\n",
       "Data variables:\n",
       "    h            (ny, nx) float64 dask.array<chunksize=(226, 199), meta=np.ndarray>\n",
       "    u_eastward   (ocean_time, Depth, ny, nx) float32 dask.array<chunksize=(12, 15, 226, 199), meta=np.ndarray>\n",
       "    v_northward  (ocean_time, Depth, ny, nx) float32 dask.array<chunksize=(12, 15, 226, 199), meta=np.ndarray>\n",
       "    temp         (ocean_time, Depth, ny, nx) float32 dask.array<chunksize=(12, 15, 226, 199), meta=np.ndarray>\n",
       "    salt         (ocean_time, Depth, ny, nx) float32 dask.array<chunksize=(12, 15, 226, 199), meta=np.ndarray>\n",
       "Attributes: (12/36)\n",
       "    file:                            nos.cbofs.fields.nowcast.20220825.t12z_0...\n",
       "    format:                          netCDF-4/HDF5 file\n",
       "    Conventions:                     CF-1.4, SGRID-0.3\n",
       "    type:                            ROMS/TOMS history file\n",
       "    title:                           cbofs nowcast RUN in operational mode\n",
       "    var_info:                        varinfo.dat\n",
       "    ...                              ...\n",
       "    tiling:                          008x016\n",
       "    history:                         ROMS/TOMS, Version 3.9, Thursday - Augus...\n",
       "    ana_file:                        ROMS/Functionals/ana_btflux.h, ROMS/Func...\n",
       "    CPP_options:                     mode, ADD_FSOBC, ADD_M2OBC, ANA_BPFLUX, ...\n",
       "    bio_file:                        ROMS/Nonlinear/Biology/hypoxia_srm.h\n",
       "    DODS_EXTRA.Unlimited_Dimension:  ocean_time"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_small_rg2 = xr.open_mfdataset(['sample_roms_rg.nc'], preprocess=em.preprocess)\n",
    "print(ds_small_rg2.nbytes/1e6)\n",
    "ds_small_rg2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85302ff1-0520-4d78-9e0a-784fdcb14b50",
   "metadata": {},
   "source": [
    "### 3. Curvilinear, single horizontal grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "c6d883cc-4c8f-47ec-a877-d40a2ac2dcc4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Subdomain is 0.43258 MB\n",
      "CPU times: user 437 ms, sys: 99.2 ms, total: 536 ms\n",
      "Wall time: 3.78 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "standard_names = ['eastward_sea_water_velocity', 'northward_sea_water_velocity', \n",
    "        'sea_water_temperature', 'sea_water_practical_salinity', 'sea_floor_depth']\n",
    "\n",
    "# Select bounding box for sub-domain\n",
    "bbox = [-78.8, 43.5, -77.5, 43.8]\n",
    "\n",
    "# Select time range to keep\n",
    "today = pd.Timestamp.today()\n",
    "later_today = today + pd.Timedelta('12 hours')\n",
    "\n",
    "# Select out variables from Dataset\n",
    "ds_small_loofs = ds_loofs.em.filter(standard_names).em.sub_grid(bbox=bbox).cf.sel(T=slice(today, later_today))\n",
    "\n",
    "# Size of subset\n",
    "print(f'Subdomain is {ds_small_loofs.nbytes/1e6} MB')\n",
    "\n",
    "# Save to file\n",
    "ds_small_loofs.to_netcdf('sample_loofs.nc')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7e6171e-eaf9-49b5-bfef-695e29762d0d",
   "metadata": {},
   "source": [
    "Read in saved file with `extract_model` to get vertical coord decoding back in!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "ebc2eb3b-8bc8-4b9a-8a64-210c729b50b0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.5737\n"
     ]
    },
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       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 12, ny: 7, nx: 21, sigma: 20)\n",
       "Coordinates:\n",
       "  * sigma    (sigma) float32 0.0 0.0227 0.0454 0.0681 ... 0.8853 0.9534 1.0\n",
       "  * time     (time) datetime64[ns] 2022-08-25T11:00:14.062499968 ... 2022-08-...\n",
       "    lon      (ny, nx) float32 dask.array&lt;chunksize=(7, 21), meta=np.ndarray&gt;\n",
       "    lat      (ny, nx) float32 dask.array&lt;chunksize=(7, 21), meta=np.ndarray&gt;\n",
       "  * nx       (nx) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20\n",
       "  * ny       (ny) int64 0 1 2 3 4 5 6\n",
       "    z        (time, sigma, ny, nx) float32 dask.array&lt;chunksize=(12, 20, 7, 21), meta=np.ndarray&gt;\n",
       "Data variables:\n",
       "    zeta     (time, ny, nx) float32 dask.array&lt;chunksize=(12, 7, 21), meta=np.ndarray&gt;\n",
       "    depth    (ny, nx) float32 dask.array&lt;chunksize=(7, 21), meta=np.ndarray&gt;\n",
       "    u        (time, sigma, ny, nx) float32 dask.array&lt;chunksize=(12, 20, 7, 21), meta=np.ndarray&gt;\n",
       "    v        (time, sigma, ny, nx) float32 dask.array&lt;chunksize=(12, 20, 7, 21), meta=np.ndarray&gt;\n",
       "    temp     (time, sigma, ny, nx) float32 dask.array&lt;chunksize=(12, 20, 7, 21), meta=np.ndarray&gt;\n",
       "Attributes: (12/17)\n",
       "    datum1:                          reference to LWD=zeta\n",
       "    datum2:                          reference to IGLD85=zeta - IGLD85\n",
       "    file_type:                       Full_Grid\n",
       "    Conventions:                     COARDS\n",
       "    grid_type:                       rectilinear\n",
       "    z_type:                          2-D\n",
       "    ...                              ...\n",
       "    history:                         Operation-CO-OPS\n",
       "    references:                      greg.mott@noaa.gov\n",
       "    creation_date:                   2022-08-25 12:50:16  00:00\n",
       "    DODS.strlen:                     19\n",
       "    DODS.dimName:                    validtime_len\n",
       "    DODS_EXTRA.Unlimited_Dimension:  time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-806c0aa9-b809-4e61-81f1-b046a433407d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-806c0aa9-b809-4e61-81f1-b046a433407d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 12</li><li><span class='xr-has-index'>ny</span>: 7</li><li><span class='xr-has-index'>nx</span>: 21</li><li><span class='xr-has-index'>sigma</span>: 20</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9d348ece-d5c8-48c9-8a3a-063febf08396' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9d348ece-d5c8-48c9-8a3a-063febf08396' class='xr-section-summary' >Coordinates: <span>(7)</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'>sigma</span></div><div class='xr-var-dims'>(sigma)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0227 0.0454 ... 0.9534 1.0</div><input id='attrs-02467a52-6ece-41ed-a546-5604e027b436' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02467a52-6ece-41ed-a546-5604e027b436' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-159c486a-505c-4ffc-8d51-f2da7ee88499' class='xr-var-data-in' type='checkbox'><label for='data-159c486a-505c-4ffc-8d51-f2da7ee88499' title='Show/Hide data repr'><svg 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>Sigma Stretched Vertical Coordinate at Nodes</dd><dt><span>units :</span></dt><dd>sigma_level</dd><dt><span>standard_name :</span></dt><dd>ocean_sigma_coordinate</dd><dt><span>formula_terms :</span></dt><dd>sigma: sigma eta: zeta depth: depth</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([0.    , 0.0227, 0.0454, 0.0681, 0.0908, 0.1135, 0.1362, 0.1589, 0.1816,\n",
       "       0.2043, 0.227 , 0.2724, 0.3405, 0.4313, 0.5448, 0.681 , 0.7945, 0.8853,\n",
       "       0.9534, 1.    ], dtype=float32)</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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-08-25T11:00:14.062499968 .....</div><input id='attrs-8e75ec86-f969-4c38-ac88-5de83b5a3723' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e75ec86-f969-4c38-ac88-5de83b5a3723' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c50a583a-1098-4dc9-bd7b-2f65a0cbc0c4' class='xr-var-data-in' type='checkbox'><label for='data-c50a583a-1098-4dc9-bd7b-2f65a0cbc0c4' title='Show/Hide data repr'><svg 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>base_date :</span></dt><dd>[2006    1    1    0]</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-08-25T11:00:14.062499968&#x27;, &#x27;2022-08-25T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T12:59:45.937500032&#x27;, &#x27;2022-08-25T14:00:14.062499968&#x27;,\n",
       "       &#x27;2022-08-25T15:00:00.000000000&#x27;, &#x27;2022-08-25T15:59:45.937500032&#x27;,\n",
       "       &#x27;2022-08-25T17:00:14.062499968&#x27;, &#x27;2022-08-25T18:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T18:59:45.937500032&#x27;, &#x27;2022-08-25T20:00:14.062499968&#x27;,\n",
       "       &#x27;2022-08-25T21:00:00.000000000&#x27;, &#x27;2022-08-25T21:59:45.937500032&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(7, 21), meta=np.ndarray&gt;</div><input id='attrs-e68ad040-c1e9-4e98-8f05-44e8977722ea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e68ad040-c1e9-4e98-8f05-44e8977722ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8f6472e-97ca-469e-b44b-31d11ad84905' class='xr-var-data-in' type='checkbox'><label for='data-e8f6472e-97ca-469e-b44b-31d11ad84905' title='Show/Hide data repr'><svg 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</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 588 B </td>\n",
       "                        <td> 588 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (7, 21) </td>\n",
       "                        <td> (7, 21) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"93\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "\n",
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       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,43.88583450710765 0.0,43.88583450710765\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
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       "  <text x=\"60.000000\" y=\"63.885835\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >21</text>\n",
       "  <text x=\"140.000000\" y=\"21.942917\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,21.942917)\">7</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(7, 21), meta=np.ndarray&gt;</div><input id='attrs-53ad0eb1-7985-4492-9393-8da59435a7cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53ad0eb1-7985-4492-9393-8da59435a7cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc82e4be-8a44-4eb3-9a47-b3cf7450f029' class='xr-var-data-in' type='checkbox'><label for='data-fc82e4be-8a44-4eb3-9a47-b3cf7450f029' title='Show/Hide data repr'><svg 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</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 588 B </td>\n",
       "                        <td> 588 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (7, 21) </td>\n",
       "                        <td> (7, 21) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"93\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
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       "\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"43\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,43.88583450710765 0.0,43.88583450710765\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
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       "  <text x=\"140.000000\" y=\"21.942917\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,21.942917)\">7</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>nx</span></div><div class='xr-var-dims'>(nx)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 15 16 17 18 19 20</div><input id='attrs-0f66c20c-4020-4c0b-b961-d7da8e088fbb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f66c20c-4020-4c0b-b961-d7da8e088fbb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1983d0c3-67a2-493f-a5ef-c4fd0ad2bd31' class='xr-var-data-in' type='checkbox'><label for='data-1983d0c3-67a2-493f-a5ef-c4fd0ad2bd31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ny</span></div><div class='xr-var-dims'>(ny)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6</div><input id='attrs-fdbd833f-f9a4-4c4d-bcb0-c5977c8c5f46' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fdbd833f-f9a4-4c4d-bcb0-c5977c8c5f46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff52dc3e-6506-4b0e-9b39-02ef69ba9517' class='xr-var-data-in' type='checkbox'><label for='data-ff52dc3e-6506-4b0e-9b39-02ef69ba9517' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4, 5, 6])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z</span></div><div class='xr-var-dims'>(time, sigma, ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 20, 7, 21), meta=np.ndarray&gt;</div><input id='attrs-88adab55-93cc-4194-982c-c0fb78e650a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88adab55-93cc-4194-982c-c0fb78e650a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac81abf0-4047-43a2-b870-6c79baec69f9' class='xr-var-data-in' type='checkbox'><label for='data-ac81abf0-4047-43a2-b870-6c79baec69f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>positive :</span></dt><dd>up</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 137.81 kiB </td>\n",
       "                        <td> 137.81 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (12, 20, 7, 21) </td>\n",
       "                        <td> (12, 20, 7, 21) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 16 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"513\" height=\"161\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "                        <td> 6.89 kiB </td>\n",
       "                        <td> 6.89 kiB </td>\n",
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       "                        <td> (12, 7, 21) </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>depth</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(7, 21), meta=np.ndarray&gt;</div><input id='attrs-a78da42a-0de0-430e-ae7f-46697d2af55c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a78da42a-0de0-430e-ae7f-46697d2af55c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac878709-4a8b-451b-a9f9-35e6bd697ee1' class='xr-var-data-in' type='checkbox'><label for='data-ac878709-4a8b-451b-a9f9-35e6bd697ee1' title='Show/Hide data repr'><svg 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>Bathymetry</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>sea_floor_depth</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 588 B </td>\n",
       "                        <td> 588 B </td>\n",
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       "                        <td> (7, 21) </td>\n",
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       "                        <td> 137.81 kiB </td>\n",
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      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 12, ny: 7, nx: 21, sigma: 20)\n",
       "Coordinates:\n",
       "  * sigma    (sigma) float32 0.0 0.0227 0.0454 0.0681 ... 0.8853 0.9534 1.0\n",
       "  * time     (time) datetime64[ns] 2022-08-25T11:00:14.062499968 ... 2022-08-...\n",
       "    lon      (ny, nx) float32 dask.array<chunksize=(7, 21), meta=np.ndarray>\n",
       "    lat      (ny, nx) float32 dask.array<chunksize=(7, 21), meta=np.ndarray>\n",
       "  * nx       (nx) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20\n",
       "  * ny       (ny) int64 0 1 2 3 4 5 6\n",
       "    z        (time, sigma, ny, nx) float32 dask.array<chunksize=(12, 20, 7, 21), meta=np.ndarray>\n",
       "Data variables:\n",
       "    zeta     (time, ny, nx) float32 dask.array<chunksize=(12, 7, 21), meta=np.ndarray>\n",
       "    depth    (ny, nx) float32 dask.array<chunksize=(7, 21), meta=np.ndarray>\n",
       "    u        (time, sigma, ny, nx) float32 dask.array<chunksize=(12, 20, 7, 21), meta=np.ndarray>\n",
       "    v        (time, sigma, ny, nx) float32 dask.array<chunksize=(12, 20, 7, 21), meta=np.ndarray>\n",
       "    temp     (time, sigma, ny, nx) float32 dask.array<chunksize=(12, 20, 7, 21), meta=np.ndarray>\n",
       "Attributes: (12/17)\n",
       "    datum1:                          reference to LWD=zeta\n",
       "    datum2:                          reference to IGLD85=zeta - IGLD85\n",
       "    file_type:                       Full_Grid\n",
       "    Conventions:                     COARDS\n",
       "    grid_type:                       rectilinear\n",
       "    z_type:                          2-D\n",
       "    ...                              ...\n",
       "    history:                         Operation-CO-OPS\n",
       "    references:                      greg.mott@noaa.gov\n",
       "    creation_date:                   2022-08-25 12:50:16  00:00\n",
       "    DODS.strlen:                     19\n",
       "    DODS.dimName:                    validtime_len\n",
       "    DODS_EXTRA.Unlimited_Dimension:  time"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_small_loofs2 = xr.open_mfdataset(['sample_loofs.nc'], preprocess=em.preprocess)\n",
    "print(ds_small_loofs2.nbytes/1e6)\n",
    "ds_small_loofs2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "f2694d8d-ad39-4ead-bb31-803c0578f366",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.14112"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_small_loofs2['z'].nbytes/1e6"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4041ea87-285e-4c1f-ad56-ec79895007c7",
   "metadata": {},
   "source": [
    "### 4. Unstructured grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "bcb3ad7c-b2c8-4eb3-8e6f-7a42bbc9a9ab",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Subdomain is 69.865408 MB\n",
      "CPU times: user 10.5 s, sys: 9.49 s, total: 20 s\n",
      "Wall time: 3min 7s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "standard_names = ['eastward_sea_water_velocity', 'northward_sea_water_velocity', \n",
    "        'sea_water_temperature', 'sea_water_practical_salinity', 'sea_floor_depth']\n",
    "\n",
    "# Select bounding box for sub-domain\n",
    "bbox = [-98+360, 27, -97+360, 28]\n",
    "\n",
    "# Select time range to keep\n",
    "today = pd.Timestamp.today()\n",
    "later_today = today + pd.Timedelta('12 hours')\n",
    "\n",
    "# Select out variables from Dataset\n",
    "ds_small_ngofs2 = ds_ngofs2.em.filter(standard_names).em.sub_grid(bbox=bbox).cf.sel(T=slice(today, later_today))\n",
    "\n",
    "# Size of subset\n",
    "print(f'Subdomain is {ds_small_ngofs2.nbytes/1e6} MB')\n",
    "\n",
    "# Save to file\n",
    "ds_small_ngofs2.to_netcdf('sample_ngofs2.nc')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30f7c590-bb00-4f9b-8678-fc0568943336",
   "metadata": {},
   "source": [
    "Read in saved file with `extract_model` to get vertical coord decoding back in!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "1b767efe-f13c-4b0c-8502-a96aa26c2b63",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "69.865408\n"
     ]
    },
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       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
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       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
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       "  display: none;\n",
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       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
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       "\n",
       ".xr-section-item input:enabled + label {\n",
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       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
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       "\n",
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       "  display: contents;\n",
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       "\n",
       ".xr-array-wrap {\n",
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       "  display: grid;\n",
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       "\n",
       ".xr-array-wrap > label {\n",
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       "\n",
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       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
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       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
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       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
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       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
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       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
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       "  white-space: nowrap;\n",
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       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:       (node: 16604, nele: 30734, siglay: 40, siglev: 41, time: 4,\n",
       "                   three: 3, maxnode: 10, maxelem: 8)\n",
       "Coordinates:\n",
       "    lat           (node) float32 dask.array&lt;chunksize=(16604,), meta=np.ndarray&gt;\n",
       "    lon           (node) float32 dask.array&lt;chunksize=(16604,), meta=np.ndarray&gt;\n",
       "    latc          (nele) float32 dask.array&lt;chunksize=(30734,), meta=np.ndarray&gt;\n",
       "    lonc          (nele) float32 dask.array&lt;chunksize=(30734,), meta=np.ndarray&gt;\n",
       "    sigma_layers  (siglay, node) float32 dask.array&lt;chunksize=(40, 16604), meta=np.ndarray&gt;\n",
       "  * time          (time) datetime64[ns] 2022-08-25T12:00:00 ... 2022-08-25T21...\n",
       "Dimensions without coordinates: node, nele, siglay, siglev, three, maxnode,\n",
       "                                maxelem\n",
       "Data variables: (12/17)\n",
       "    sigma_levels  (siglev, node) float32 dask.array&lt;chunksize=(41, 16604), meta=np.ndarray&gt;\n",
       "    h             (node) float32 dask.array&lt;chunksize=(16604,), meta=np.ndarray&gt;\n",
       "    zeta          (time, node) float32 dask.array&lt;chunksize=(4, 16604), meta=np.ndarray&gt;\n",
       "    x             (node) float32 dask.array&lt;chunksize=(16604,), meta=np.ndarray&gt;\n",
       "    y             (node) float32 dask.array&lt;chunksize=(16604,), meta=np.ndarray&gt;\n",
       "    xc            (nele) float32 dask.array&lt;chunksize=(30734,), meta=np.ndarray&gt;\n",
       "    ...            ...\n",
       "    nv            (three, nele) int64 dask.array&lt;chunksize=(3, 30734), meta=np.ndarray&gt;\n",
       "    nbe           (three, nele) int64 dask.array&lt;chunksize=(3, 30734), meta=np.ndarray&gt;\n",
       "    nbsn          (maxnode, node) int32 dask.array&lt;chunksize=(10, 16604), meta=np.ndarray&gt;\n",
       "    ntsn          (node) int32 dask.array&lt;chunksize=(16604,), meta=np.ndarray&gt;\n",
       "    nbve          (maxelem, node) int32 dask.array&lt;chunksize=(8, 16604), meta=np.ndarray&gt;\n",
       "    ntve          (node) int32 dask.array&lt;chunksize=(16604,), meta=np.ndarray&gt;\n",
       "Attributes: (12/17)\n",
       "    title:                           NGOFS2\n",
       "    institution:                     School for Marine Science and Technology\n",
       "    source:                          FVCOM_4.3\n",
       "    history:                         model started at: 25/08/2022   09:05\n",
       "    references:                      http://fvcom.smast.umassd.edu, http://co...\n",
       "    Conventions:                     CF-1.0\n",
       "    ...                              ...\n",
       "    Surface_Heat_Forcing:            FVCOM variable surface heat forcing file...\n",
       "    Surface_Wind_Forcing:            FVCOM variable surface Wind forcing:\\nFI...\n",
       "    Surface_PrecipEvap_Forcing:      SURFACE PRECIPITATION FORCING IS OFF\n",
       "    DODS.strlen:                     26\n",
       "    DODS.dimName:                    DateStrLen\n",
       "    DODS_EXTRA.Unlimited_Dimension:  time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-dd94ac14-ff10-44b5-aaea-5fa6fce39b57' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dd94ac14-ff10-44b5-aaea-5fa6fce39b57' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>node</span>: 16604</li><li><span>nele</span>: 30734</li><li><span>siglay</span>: 40</li><li><span>siglev</span>: 41</li><li><span class='xr-has-index'>time</span>: 4</li><li><span>three</span>: 3</li><li><span>maxnode</span>: 10</li><li><span>maxelem</span>: 8</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5cc729f7-67cf-405c-8dfa-fce418f53647' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5cc729f7-67cf-405c-8dfa-fce418f53647' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(node)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(16604,), meta=np.ndarray&gt;</div><input id='attrs-4316876e-cb1a-455f-a203-2c7726ac5077' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4316876e-cb1a-455f-a203-2c7726ac5077' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdab0665-4c65-461f-89c7-50c01228393c' class='xr-var-data-in' type='checkbox'><label for='data-fdab0665-4c65-461f-89c7-50c01228393c' title='Show/Hide data repr'><svg 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>nodal latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 64.86 kiB </td>\n",
       "                        <td> 64.86 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (16604,) </td>\n",
       "                        <td> (16604,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >16604</text>\n",
       "  <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">1</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(node)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(16604,), meta=np.ndarray&gt;</div><input id='attrs-140717fe-601e-40c1-9a87-f36ed1752c70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-140717fe-601e-40c1-9a87-f36ed1752c70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb4ccde7-31fa-44eb-ae32-6135417d70de' class='xr-var-data-in' type='checkbox'><label for='data-bb4ccde7-31fa-44eb-ae32-6135417d70de' title='Show/Hide data repr'><svg 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>nodal longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 64.86 kiB </td>\n",
       "                        <td> 64.86 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (16604,) </td>\n",
       "                        <td> (16604,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latc</span></div><div class='xr-var-dims'>(nele)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(30734,), meta=np.ndarray&gt;</div><input id='attrs-49546675-8ed1-4d9e-b9cb-788dac07d44d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49546675-8ed1-4d9e-b9cb-788dac07d44d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a205ca06-3bf3-41d9-b298-ce7afc4e3b2f' class='xr-var-data-in' type='checkbox'><label for='data-a205ca06-3bf3-41d9-b298-ce7afc4e3b2f' title='Show/Hide data repr'><svg 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>zonal latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lonc</span></div><div class='xr-var-dims'>(nele)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(30734,), meta=np.ndarray&gt;</div><input id='attrs-2fdd1ff9-2b14-4e84-9d06-81b1832d72a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2fdd1ff9-2b14-4e84-9d06-81b1832d72a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e900b69-11ef-43e2-a7b6-3de175ae1322' class='xr-var-data-in' type='checkbox'><label for='data-7e900b69-11ef-43e2-a7b6-3de175ae1322' title='Show/Hide data repr'><svg 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>zonal longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</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>sigma_layers</span></div><div class='xr-var-dims'>(siglay, node)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(40, 16604), meta=np.ndarray&gt;</div><input id='attrs-355bb144-99c1-4473-91ef-18443e649b15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-355bb144-99c1-4473-91ef-18443e649b15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72e0d027-2a64-4a15-91fd-6fc8d9e2a413' class='xr-var-data-in' type='checkbox'><label for='data-72e0d027-2a64-4a15-91fd-6fc8d9e2a413' title='Show/Hide data repr'><svg 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>Sigma Layers</dd><dt><span>standard_name :</span></dt><dd>ocean_sigma_coordinate</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>formula_terms :</span></dt><dd>sigma: sigma_layers eta: zeta depth: h</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> 2.53 MiB </td>\n",
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       "</table></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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-08-25T12:00:00 ... 2022-08-...</div><input id='attrs-d46e1680-118c-42cb-82f4-e8e141010b38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d46e1680-118c-42cb-82f4-e8e141010b38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af877d4e-7eb5-43dd-bebe-28876b4aa3d3' class='xr-var-data-in' type='checkbox'><label for='data-af877d4e-7eb5-43dd-bebe-28876b4aa3d3' title='Show/Hide data repr'><svg 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>format :</span></dt><dd>defined reference date</dd><dt><span>time_zone :</span></dt><dd>UTC</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-08-25T12:00:00.000000000&#x27;, &#x27;2022-08-25T15:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T18:00:00.000000000&#x27;, &#x27;2022-08-25T21:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-decef9c3-132b-40ea-ba8b-a7b9d6f3da5b' class='xr-section-summary-in' type='checkbox'  ><label for='section-decef9c3-132b-40ea-ba8b-a7b9d6f3da5b' class='xr-section-summary' >Data variables: <span>(17)</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>sigma_levels</span></div><div class='xr-var-dims'>(siglev, node)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(41, 16604), meta=np.ndarray&gt;</div><input id='attrs-3c8520cd-3219-4b97-969a-e3d61fba6e36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c8520cd-3219-4b97-969a-e3d61fba6e36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da78a0d7-0bc5-4056-89eb-90e13d970da1' class='xr-var-data-in' type='checkbox'><label for='data-da78a0d7-0bc5-4056-89eb-90e13d970da1' title='Show/Hide data repr'><svg 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>Sigma Levels</dd><dt><span>standard_name :</span></dt><dd>ocean_sigma_coordinate</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>formula_terms :</span></dt><dd>sigma: sigma_levels eta: zeta depth: h</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> (41, 16604) </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>h</span></div><div class='xr-var-dims'>(node)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(16604,), meta=np.ndarray&gt;</div><input id='attrs-e362d86c-5826-4725-b363-45ad315018ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e362d86c-5826-4725-b363-45ad315018ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfb2857a-a56d-424a-bac6-69ea02778342' class='xr-var-data-in' type='checkbox'><label for='data-bfb2857a-a56d-424a-bac6-69ea02778342' title='Show/Hide data repr'><svg 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>Bathymetry</dd><dt><span>standard_name :</span></dt><dd>sea_floor_depth</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>grid :</span></dt><dd>Bathymetry_Mesh</dd><dt><span>type :</span></dt><dd>data</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 64.86 kiB </td>\n",
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       "                    <th> Type </th>\n",
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       "                    <th> Type </th>\n",
       "                    <td> int64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "            </table>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbe</span></div><div class='xr-var-dims'>(three, nele)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3, 30734), meta=np.ndarray&gt;</div><input id='attrs-41204820-d73b-49e2-9673-ad42877f42ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41204820-d73b-49e2-9673-ad42877f42ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdb79fc1-40fe-4ee1-99e7-c7c48b03ef7b' class='xr-var-data-in' type='checkbox'><label for='data-fdb79fc1-40fe-4ee1-99e7-c7c48b03ef7b' title='Show/Hide data repr'><svg 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>elements surrounding each element</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 720.33 kiB </td>\n",
       "                        <td> 720.33 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (3, 30734) </td>\n",
       "                        <td> (3, 30734) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> int64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbsn</span></div><div class='xr-var-dims'>(maxnode, node)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10, 16604), meta=np.ndarray&gt;</div><input id='attrs-e72b6ea7-b0a7-44d7-a75d-f346d88cba9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e72b6ea7-b0a7-44d7-a75d-f346d88cba9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ab680b5-2d0c-410e-8aac-fbb9fa1da173' class='xr-var-data-in' type='checkbox'><label for='data-2ab680b5-2d0c-410e-8aac-fbb9fa1da173' title='Show/Hide data repr'><svg 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>nodes surrounding each node</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 648.59 kiB </td>\n",
       "                        <td> 648.59 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (10, 16604) </td>\n",
       "                        <td> (10, 16604) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> int32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\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>ntsn</span></div><div class='xr-var-dims'>(node)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(16604,), meta=np.ndarray&gt;</div><input id='attrs-f5496630-45ca-46f2-91b5-b8e8f0276da7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5496630-45ca-46f2-91b5-b8e8f0276da7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18d7c58f-689e-404c-8702-b86ab4116544' class='xr-var-data-in' type='checkbox'><label for='data-18d7c58f-689e-404c-8702-b86ab4116544' title='Show/Hide data repr'><svg 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>#nodes surrounding each node</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 64.86 kiB </td>\n",
       "                        <td> 64.86 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (16604,) </td>\n",
       "                        <td> (16604,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> int32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbve</span></div><div class='xr-var-dims'>(maxelem, node)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(8, 16604), meta=np.ndarray&gt;</div><input id='attrs-1697bd95-9318-4fb0-aa74-3cc3d27ffa3d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1697bd95-9318-4fb0-aa74-3cc3d27ffa3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cd96a04-2914-4fc6-a312-75cc1a27c045' class='xr-var-data-in' type='checkbox'><label for='data-5cd96a04-2914-4fc6-a312-75cc1a27c045' title='Show/Hide data repr'><svg 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>elems surrounding each node</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 518.88 kiB </td>\n",
       "                        <td> 518.88 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (8, 16604) </td>\n",
       "                        <td> (8, 16604) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> int32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ntve</span></div><div class='xr-var-dims'>(node)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(16604,), meta=np.ndarray&gt;</div><input id='attrs-80c187a9-f5f8-4abb-8484-22977faed1d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80c187a9-f5f8-4abb-8484-22977faed1d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b32ed87e-33c4-4201-91e5-f1f3dc30f01a' class='xr-var-data-in' type='checkbox'><label for='data-b32ed87e-33c4-4201-91e5-f1f3dc30f01a' title='Show/Hide data repr'><svg 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>#elems surrounding each node</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 64.86 kiB </td>\n",
       "                        <td> 64.86 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (16604,) </td>\n",
       "                        <td> (16604,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> int32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-e485db6c-f1fd-4198-ab6d-895cf566367a' class='xr-section-summary-in' type='checkbox'  ><label for='section-e485db6c-f1fd-4198-ab6d-895cf566367a' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>NGOFS2</dd><dt><span>institution :</span></dt><dd>School for Marine Science and Technology</dd><dt><span>source :</span></dt><dd>FVCOM_4.3</dd><dt><span>history :</span></dt><dd>model started at: 25/08/2022   09:05</dd><dt><span>references :</span></dt><dd>http://fvcom.smast.umassd.edu, http://codfish.smast.umassd.edu</dd><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>CoordinateSystem :</span></dt><dd>GeoReferenced</dd><dt><span>CoordinateProjection :</span></dt><dd>init=nad83:4205</dd><dt><span>Tidal_Forcing :</span></dt><dd>TIDAL ELEVATION FORCING IS OFF!</dd><dt><span>River_Forcing :</span></dt><dd>THERE ARE 63 RIVERS IN THIS MODEL.\n",
       "RIVER INFLOW IS ON THE nodes WHERE TEMPERATURE AND SALINITY ARE calculated IN THE MODEL.\n",
       "THE FOLLOWING RIVER NAMES ARE USED:\n",
       "08012000\n",
       "02365500\n",
       "02375500\n",
       "02489500\n",
       "02492000\n",
       "08211200\n",
       "08211200\n",
       "08211200\n",
       "02481510\n",
       "02481510\n",
       "02481510\n",
       "02479000\n",
       "02479000\n",
       "02479000\n",
       "02479000\n",
       "08164800\n",
       "08164800\n",
       "08164000\n",
       "08164000\n",
       "08188800\n",
       "08188800\n",
       "08188800\n",
       "08066500\n",
       "08066500\n",
       "02479560\n",
       "02479560\n",
       "02479560\n",
       "02479560\n",
       "07375500\n",
       "07375500\n",
       "08030500\n",
       "08030500\n",
       "08069000\n",
       "08069000\n",
       "08069000\n",
       "07381600\n",
       "07381600\n",
       "07381600\n",
       "07381600\n",
       "02470629\n",
       "02470629\n",
       "02470629\n",
       "02470629\n",
       "02471019\n",
       "02471019\n",
       "02471019\n",
       "02471019\n",
       "02471019\n",
       "08076000\n",
       "08076000\n",
       "08075400\n",
       "08041780\n",
       "08015500\n",
       "08075000\n",
       "08075000\n",
       "07374000\n",
       "07374000\n",
       "07374000\n",
       "07374000\n",
       "08162500\n",
       "08116650\n",
       "02376500\n",
       "02368000</dd><dt><span>GroundWater_Forcing :</span></dt><dd>GROUND WATER FORCING IS OFF!</dd><dt><span>Surface_Heat_Forcing :</span></dt><dd>FVCOM variable surface heat forcing file:\n",
       "FILE NAME:nos.ngofs2.hflux.nowcast.20220825.t09z.nc\n",
       "SOURCE:FVCOM grid (unstructured) surface forcing\n",
       "Unknown start date meta data format</dd><dt><span>Surface_Wind_Forcing :</span></dt><dd>FVCOM variable surface Wind forcing:\n",
       "FILE NAME:nos.ngofs2.met.nowcast.20220825.t09z.nc\n",
       "SOURCE:FVCOM grid (unstructured) surface forcing\n",
       "Unknown start date meta data format</dd><dt><span>Surface_PrecipEvap_Forcing :</span></dt><dd>SURFACE PRECIPITATION FORCING IS OFF</dd><dt><span>DODS.strlen :</span></dt><dd>26</dd><dt><span>DODS.dimName :</span></dt><dd>DateStrLen</dd><dt><span>DODS_EXTRA.Unlimited_Dimension :</span></dt><dd>time</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:       (node: 16604, nele: 30734, siglay: 40, siglev: 41, time: 4,\n",
       "                   three: 3, maxnode: 10, maxelem: 8)\n",
       "Coordinates:\n",
       "    lat           (node) float32 dask.array<chunksize=(16604,), meta=np.ndarray>\n",
       "    lon           (node) float32 dask.array<chunksize=(16604,), meta=np.ndarray>\n",
       "    latc          (nele) float32 dask.array<chunksize=(30734,), meta=np.ndarray>\n",
       "    lonc          (nele) float32 dask.array<chunksize=(30734,), meta=np.ndarray>\n",
       "    sigma_layers  (siglay, node) float32 dask.array<chunksize=(40, 16604), meta=np.ndarray>\n",
       "  * time          (time) datetime64[ns] 2022-08-25T12:00:00 ... 2022-08-25T21...\n",
       "Dimensions without coordinates: node, nele, siglay, siglev, three, maxnode,\n",
       "                                maxelem\n",
       "Data variables: (12/17)\n",
       "    sigma_levels  (siglev, node) float32 dask.array<chunksize=(41, 16604), meta=np.ndarray>\n",
       "    h             (node) float32 dask.array<chunksize=(16604,), meta=np.ndarray>\n",
       "    zeta          (time, node) float32 dask.array<chunksize=(4, 16604), meta=np.ndarray>\n",
       "    x             (node) float32 dask.array<chunksize=(16604,), meta=np.ndarray>\n",
       "    y             (node) float32 dask.array<chunksize=(16604,), meta=np.ndarray>\n",
       "    xc            (nele) float32 dask.array<chunksize=(30734,), meta=np.ndarray>\n",
       "    ...            ...\n",
       "    nv            (three, nele) int64 dask.array<chunksize=(3, 30734), meta=np.ndarray>\n",
       "    nbe           (three, nele) int64 dask.array<chunksize=(3, 30734), meta=np.ndarray>\n",
       "    nbsn          (maxnode, node) int32 dask.array<chunksize=(10, 16604), meta=np.ndarray>\n",
       "    ntsn          (node) int32 dask.array<chunksize=(16604,), meta=np.ndarray>\n",
       "    nbve          (maxelem, node) int32 dask.array<chunksize=(8, 16604), meta=np.ndarray>\n",
       "    ntve          (node) int32 dask.array<chunksize=(16604,), meta=np.ndarray>\n",
       "Attributes: (12/17)\n",
       "    title:                           NGOFS2\n",
       "    institution:                     School for Marine Science and Technology\n",
       "    source:                          FVCOM_4.3\n",
       "    history:                         model started at: 25/08/2022   09:05\n",
       "    references:                      http://fvcom.smast.umassd.edu, http://co...\n",
       "    Conventions:                     CF-1.0\n",
       "    ...                              ...\n",
       "    Surface_Heat_Forcing:            FVCOM variable surface heat forcing file...\n",
       "    Surface_Wind_Forcing:            FVCOM variable surface Wind forcing:\\nFI...\n",
       "    Surface_PrecipEvap_Forcing:      SURFACE PRECIPITATION FORCING IS OFF\n",
       "    DODS.strlen:                     26\n",
       "    DODS.dimName:                    DateStrLen\n",
       "    DODS_EXTRA.Unlimited_Dimension:  time"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_small_ngofs22 = xr.open_mfdataset(['sample_ngofs2.nc'], preprocess=em.preprocess)\n",
    "print(ds_small_ngofs22.nbytes/1e6)\n",
    "ds_small_ngofs22"
   ]
  }
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