ROMS_python_xarray.ipynb

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    "# ROMS model data\n",
    "\n",
    "DOPPIO is a regional model (ROMS) run at rutgers by John Wilkin's group to forecast the state of the Gulf of Maine / mid atlantic bight. \n",
    "\n",
    "\n",
    "The data is available on a thredds server:\n",
    "\n",
    "http://tds.marine.rutgers.edu/thredds/dodsC/roms/doppio/2017_da/avg/Averages_Best\n",
    "\n",
    "## working with grids\n",
    "This notebook is my attempt to learn about the ROMS grid and how to make plots. More below info below. \n",
    "\n",
    "![](https://xgcm.readthedocs.io/en/latest/_images/grid2d_hv.svg)\n",
    "\n",
    "image from xgcm / pycomodo"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Grids\n",
    "\n",
    "ROMS uses a C-grid, common for ocean models, which means the the velocities, and scalars are actually on a different grid (**note:** actually this doppio output has `v_northward` and `u_eastward` on the center grid, but more generally this isn't true). In addition its vertical coordinate is not depth. These grid things really matter if we want to make plots of velocity, vertical slices, or calculate anything about our grid. \n",
    "\n",
    "I'm not *at all* an expert in modeling or these grids. I'm just interested in trying to make some simple plots. I've been looking at these resources to try to understand how to work with the ROMS grid in python:\n",
    "\n",
    "xarray example: http://xarray.pydata.org/en/scipy19-docs/examples/ROMS_ocean_model.html\n",
    "\n",
    "discussion on xgcm: https://github.com/xgcm/xgcm/issues/108\n",
    "\n",
    "xgcm in general: https://xgcm.readthedocs.io/en/latest/index.html\n",
    "\n",
    "I think in combo these sources are really helpful. I'm going to try to puzzle through working with the grid useing these ideas. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
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   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import seawater as sw\n",
    "import numpy as np\n",
    "\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy\n",
    "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n",
    "import cmocean\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# read in the data\n",
    "\n",
    "available at:\n",
    "```python\n",
    "url = 'http://tds.marine.rutgers.edu/thredds/dodsC/roms/doppio/2017_da/avg/Averages_Best'\n",
    "```\n",
    "\n",
    "\n",
    "I'm only grabbing a single day for now while I play with things"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:         (boundary: 4, eta_psi: 105, eta_rho: 106, eta_u: 106, eta_v: 105, s_rho: 40, s_w: 41, tracer: 2, xi_psi: 241, xi_rho: 242, xi_u: 241, xi_v: 242)\n",
       "Coordinates: (12/13)\n",
       "  * s_rho           (s_rho) float64 -0.9875 -0.9625 -0.9375 ... -0.0375 -0.0125\n",
       "  * s_w             (s_w) float64 -1.0 -0.975 -0.95 -0.925 ... -0.05 -0.025 0.0\n",
       "    lon_rho         (eta_rho, xi_rho) float64 -75.19 -75.13 ... -64.62 -64.54\n",
       "    lat_rho         (eta_rho, xi_rho) float64 32.24 32.28 32.32 ... 46.58 46.61\n",
       "    lon_u           (eta_u, xi_u) float64 -75.16 -75.1 -75.05 ... -64.66 -64.58\n",
       "    lat_u           (eta_u, xi_u) float64 32.26 32.3 32.34 ... 46.53 46.56 46.59\n",
       "    ...              ...\n",
       "    lat_v           (eta_v, xi_v) float64 32.26 32.3 32.34 ... 46.52 46.55 46.59\n",
       "    lon_psi         (eta_psi, xi_psi) float64 -75.19 -75.13 ... -64.63 -64.56\n",
       "    lat_psi         (eta_psi, xi_psi) float64 32.28 32.32 32.36 ... 46.53 46.57\n",
       "    ocean_time      datetime64[ns] 2021-02-20T12:00:00\n",
       "    time            datetime64[ns] 2019-07-21T12:00:00\n",
       "    time_run        datetime64[ns] 2019-07-20T12:00:00\n",
       "Dimensions without coordinates: boundary, eta_psi, eta_rho, eta_u, eta_v, tracer, xi_psi, xi_rho, xi_u, xi_v\n",
       "Data variables: (12/108)\n",
       "    ntimes          int32 720\n",
       "    ndtfast         int32 30\n",
       "    dt              float64 360.0\n",
       "    dtfast          float64 12.0\n",
       "    dstart          datetime64[ns] 2021-02-20\n",
       "    shuffle         int32 1\n",
       "    ...              ...\n",
       "    shflux          (eta_rho, xi_rho) float64 188.4 185.0 140.9 ... nan nan nan\n",
       "    ssflux          (eta_rho, xi_rho) float64 1.69e-06 1.753e-06 ... nan nan\n",
       "    swrad_daily     (eta_rho, xi_rho) float64 238.6 236.6 229.6 ... nan nan nan\n",
       "    sustr           (eta_u, xi_u) float64 0.06676 0.07264 0.07657 ... nan nan\n",
       "    svstr           (eta_v, xi_v) float64 0.0005191 -0.001864 ... nan nan\n",
       "    time_offset     datetime64[ns] 2017-11-02\n",
       "Attributes: (12/46)\n",
       "    file:                            doppio_avg_5529_0001.nc\n",
       "    format:                          netCDF-4/HDF5 file\n",
       "    Conventions:                     CF-1.4, SGRID-0.3\n",
       "    type:                            ROMS/TOMS nonlinear model averages file\n",
       "    title:                           ROMS doppio Real-Time Operational PSAS F...\n",
       "    var_info:                        ../Data/varinfo1040t_daily.dat\n",
       "    ...                              ...\n",
       "    frc_file_07:                     ../Data/Winds_ncepnam_3hourly_MAB_and_Go...\n",
       "    cdm_data_type:                   GRID\n",
       "    featureType:                     GRID\n",
       "    location:                        Proto fmrc:doppio_2017_da_avg\n",
       "    summary:                         doppio\n",
       "    DODS_EXTRA.Unlimited_Dimension:  ocean_time</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a2a7cb8b-c7cb-4f48-ad52-9641857f4ee8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a2a7cb8b-c7cb-4f48-ad52-9641857f4ee8' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>boundary</span>: 4</li><li><span>eta_psi</span>: 105</li><li><span>eta_rho</span>: 106</li><li><span>eta_u</span>: 106</li><li><span>eta_v</span>: 105</li><li><span class='xr-has-index'>s_rho</span>: 40</li><li><span class='xr-has-index'>s_w</span>: 41</li><li><span>tracer</span>: 2</li><li><span>xi_psi</span>: 241</li><li><span>xi_rho</span>: 242</li><li><span>xi_u</span>: 241</li><li><span>xi_v</span>: 242</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d5ecd53a-1c20-4349-a741-4f018bccd95d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d5ecd53a-1c20-4349-a741-4f018bccd95d' class='xr-section-summary' >Coordinates: <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 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'>-0.9875 -0.9625 ... -0.0375 -0.0125</div><input id='attrs-b794bed7-f83f-4a0a-87c1-8d7eb1ba7efd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b794bed7-f83f-4a0a-87c1-8d7eb1ba7efd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2dc4e699-d98e-4a50-a8fa-6513e9f33f5f' class='xr-var-data-in' type='checkbox'><label for='data-2dc4e699-d98e-4a50-a8fa-6513e9f33f5f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><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_g2</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>_CoordinateTransformType :</span></dt><dd>Vertical</dd><dt><span>_CoordinateAxisType :</span></dt><dd>GeoZ</dd><dt><span>_CoordinateZisPositive :</span></dt><dd>up</dd><dt><span>_CoordinateAxes :</span></dt><dd>s_rho</dd></dl></div><div class='xr-var-data'><pre>array([-0.9875, -0.9625, -0.9375, -0.9125, -0.8875, -0.8625, -0.8375, -0.8125,\n",
       "       -0.7875, -0.7625, -0.7375, -0.7125, -0.6875, -0.6625, -0.6375, -0.6125,\n",
       "       -0.5875, -0.5625, -0.5375, -0.5125, -0.4875, -0.4625, -0.4375, -0.4125,\n",
       "       -0.3875, -0.3625, -0.3375, -0.3125, -0.2875, -0.2625, -0.2375, -0.2125,\n",
       "       -0.1875, -0.1625, -0.1375, -0.1125, -0.0875, -0.0625, -0.0375, -0.0125])</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 -0.975 -0.95 ... -0.025 0.0</div><input id='attrs-4b96f94e-3300-4eae-b8b5-aa9c8bc3615c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b96f94e-3300-4eae-b8b5-aa9c8bc3615c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6db1b492-7a55-4024-8b75-03d6cf379d89' class='xr-var-data-in' type='checkbox'><label for='data-6db1b492-7a55-4024-8b75-03d6cf379d89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><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_g2</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>_CoordinateTransformType :</span></dt><dd>Vertical</dd><dt><span>_CoordinateAxisType :</span></dt><dd>GeoZ</dd><dt><span>_CoordinateZisPositive :</span></dt><dd>up</dd><dt><span>_CoordinateAxes :</span></dt><dd>s_w</dd></dl></div><div class='xr-var-data'><pre>array([-1.   , -0.975, -0.95 , -0.925, -0.9  , -0.875, -0.85 , -0.825, -0.8  ,\n",
       "       -0.775, -0.75 , -0.725, -0.7  , -0.675, -0.65 , -0.625, -0.6  , -0.575,\n",
       "       -0.55 , -0.525, -0.5  , -0.475, -0.45 , -0.425, -0.4  , -0.375, -0.35 ,\n",
       "       -0.325, -0.3  , -0.275, -0.25 , -0.225, -0.2  , -0.175, -0.15 , -0.125,\n",
       "       -0.1  , -0.075, -0.05 , -0.025,  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'>...</div><input id='attrs-d37fdc72-daba-445e-a89e-bf8ae8432e33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d37fdc72-daba-445e-a89e-bf8ae8432e33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e464774-0658-46d6-83c1-cd006de5f9e3' class='xr-var-data-in' type='checkbox'><label for='data-5e464774-0658-46d6-83c1-cd006de5f9e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude of RHO-points</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>field :</span></dt><dd>lon_rho, scalar</dd><dt><span>_ChunkSizes :</span></dt><dd>[106 242]</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>array([[-75.190306, -75.132962, -75.075563, ..., -59.833331, -59.761838,\n",
       "        -59.690283],\n",
       "       [-75.238061, -75.180707, -75.123298, ..., -59.876197, -59.804671,\n",
       "        -59.733083],\n",
       "       [-75.285871, -75.228507, -75.171088, ..., -59.919124, -59.847565,\n",
       "        -59.775944],\n",
       "       ...,\n",
       "       [-80.411006, -80.352885, -80.2947  , ..., -64.593515, -64.518711,\n",
       "        -64.443832],\n",
       "       [-80.464817, -80.406691, -80.348501, ..., -64.643377, -64.568542,\n",
       "        -64.493632],\n",
       "       [-80.51869 , -80.460559, -80.402365, ..., -64.693315, -64.618448,\n",
       "        -64.543506]])</pre></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'>...</div><input id='attrs-7741d57b-0278-4d9a-a1c5-895c32ffdf09' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7741d57b-0278-4d9a-a1c5-895c32ffdf09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-510fcca3-a0e8-4734-b5f1-2f54aade3740' class='xr-var-data-in' type='checkbox'><label for='data-510fcca3-a0e8-4734-b5f1-2f54aade3740' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude of RHO-points</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>field :</span></dt><dd>lat_rho, scalar</dd><dt><span>_ChunkSizes :</span></dt><dd>[106 242]</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>array([[32.239441, 32.279909, 32.32035 , ..., 41.017569, 41.049957, 41.082304],\n",
       "       [32.287778, 32.328271, 32.368737, ..., 41.071329, 41.103737, 41.136105],\n",
       "       [32.336098, 32.376615, 32.417107, ..., 41.12507 , 41.157498, 41.189886],\n",
       "       ...,\n",
       "       [37.114604, 37.157594, 37.200555, ..., 46.43977 , 46.474179, 46.508544],\n",
       "       [37.160786, 37.2038  , 37.246785, ..., 46.491137, 46.525565, 46.55995 ],\n",
       "       [37.206944, 37.249982, 37.292991, ..., 46.542477, 46.576924, 46.611328]])</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'>...</div><input id='attrs-31baffcc-9173-45cf-bd88-dd67797ad8c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31baffcc-9173-45cf-bd88-dd67797ad8c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa65cb52-ac63-44ea-9918-f3b5c22dcafe' class='xr-var-data-in' type='checkbox'><label for='data-aa65cb52-ac63-44ea-9918-f3b5c22dcafe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude of U-points</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>field :</span></dt><dd>lon_u, scalar</dd><dt><span>_ChunkSizes :</span></dt><dd>[106 241]</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>array([[-75.161641, -75.104269, -75.046843, ..., -59.869055, -59.797592,\n",
       "        -59.726068],\n",
       "       [-75.209391, -75.152009, -75.094572, ..., -59.911937, -59.840441,\n",
       "        -59.768884],\n",
       "       [-75.257196, -75.199805, -75.142358, ..., -59.95488 , -59.883352,\n",
       "        -59.811762],\n",
       "       ...,\n",
       "       [-80.381954, -80.3238  , -80.265584, ..., -64.630889, -64.556123,\n",
       "        -64.481281],\n",
       "       [-80.435762, -80.377604, -80.319383, ..., -64.680767, -64.605969,\n",
       "        -64.531096],\n",
       "       [-80.489633, -80.43147 , -80.373244, ..., -64.73072 , -64.655891,\n",
       "        -64.580987]])</pre></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'>...</div><input id='attrs-be04f6c9-c5a8-4f42-b9f3-8b944878db48' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be04f6c9-c5a8-4f42-b9f3-8b944878db48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3058c25-74cb-4e82-84cb-8bfa31af34de' class='xr-var-data-in' type='checkbox'><label for='data-c3058c25-74cb-4e82-84cb-8bfa31af34de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude of U-points</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>field :</span></dt><dd>lat_u, scalar</dd><dt><span>_ChunkSizes :</span></dt><dd>[106 241]</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>array([[32.259678, 32.300133, 32.340561, ..., 41.001359, 41.033768, 41.066136],\n",
       "       [32.308028, 32.348507, 32.38896 , ..., 41.05511 , 41.087538, 41.119926],\n",
       "       [32.35636 , 32.396864, 32.437342, ..., 41.108841, 41.141289, 41.173697],\n",
       "       ...,\n",
       "       [37.136102, 37.179078, 37.222025, ..., 46.42255 , 46.45698 , 46.491367],\n",
       "       [37.182297, 37.225296, 37.268268, ..., 46.473907, 46.508357, 46.542763],\n",
       "       [37.228467, 37.27149 , 37.314485, ..., 46.525237, 46.559706, 46.594131]])</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'>...</div><input id='attrs-8098e595-648b-4803-ace8-1b271d14bc57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8098e595-648b-4803-ace8-1b271d14bc57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7197574-b68c-4fea-866a-6efde2b7cb08' class='xr-var-data-in' type='checkbox'><label for='data-f7197574-b68c-4fea-866a-6efde2b7cb08' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude of V-points</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>field :</span></dt><dd>lon_v, scalar</dd><dt><span>_ChunkSizes :</span></dt><dd>[105 242]</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>array([[-75.214177, -75.156828, -75.099423, ..., -59.854756, -59.783247,\n",
       "        -59.711675],\n",
       "       [-75.261959, -75.2046  , -75.147186, ..., -59.897652, -59.82611 ,\n",
       "        -59.754506],\n",
       "       [-75.309797, -75.252428, -75.195004, ..., -59.94061 , -59.869035,\n",
       "        -59.797398],\n",
       "       ...,\n",
       "       [-80.384125, -80.326006, -80.267823, ..., -64.568612, -64.493824,\n",
       "        -64.41896 ],\n",
       "       [-80.437904, -80.37978 , -80.321593, ..., -64.618437, -64.543617,\n",
       "        -64.468722],\n",
       "       [-80.491746, -80.433617, -80.375425, ..., -64.668337, -64.593486,\n",
       "        -64.51856 ]])</pre></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'>...</div><input id='attrs-93cce656-e968-4b3a-aa0a-4ba75e37ab91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93cce656-e968-4b3a-aa0a-4ba75e37ab91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d64b3ac4-52e2-4293-afcf-2dc18385bc3d' class='xr-var-data-in' type='checkbox'><label for='data-d64b3ac4-52e2-4293-afcf-2dc18385bc3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude of V-points</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>field :</span></dt><dd>lat_v, scalar</dd><dt><span>_ChunkSizes :</span></dt><dd>[105 242]</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>array([[32.263611, 32.304092, 32.344546, ..., 41.044451, 41.07685 , 41.109207],\n",
       "       [32.31194 , 32.352445, 32.392924, ..., 41.098202, 41.13062 , 41.162998],\n",
       "       [32.360251, 32.400781, 32.441285, ..., 41.151933, 41.184372, 41.216769],\n",
       "       ...,\n",
       "       [37.091503, 37.134481, 37.177431, ..., 46.414077, 46.448476, 46.482831],\n",
       "       [37.137698, 37.1807  , 37.223673, ..., 46.465457, 46.499875, 46.53425 ],\n",
       "       [37.183868, 37.226894, 37.269891, ..., 46.516811, 46.551248, 46.585642]])</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'>...</div><input id='attrs-c61f35e6-e074-4770-83ab-d941e1165c62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c61f35e6-e074-4770-83ab-d941e1165c62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e523f0c3-2648-4712-ac61-0b0b0b57c53e' class='xr-var-data-in' type='checkbox'><label for='data-e523f0c3-2648-4712-ac61-0b0b0b57c53e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude of PSI-points</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>field :</span></dt><dd>lon_psi, scalar</dd><dt><span>_ChunkSizes :</span></dt><dd>[105 241]</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>array([[-75.185509, -75.128133, -75.070701, ..., -59.890488, -59.819009,\n",
       "        -59.747469],\n",
       "       [-75.233287, -75.1759  , -75.118458, ..., -59.9334  , -59.861889,\n",
       "        -59.790316],\n",
       "       [-75.281119, -75.223723, -75.166271, ..., -59.976375, -59.90483 ,\n",
       "        -59.833224],\n",
       "       ...,\n",
       "       [-80.355073, -80.296922, -80.238709, ..., -64.605978, -64.531227,\n",
       "        -64.456401],\n",
       "       [-80.40885 , -80.350694, -80.292476, ..., -64.655819, -64.581037,\n",
       "        -64.506179],\n",
       "       [-80.462689, -80.404529, -80.346306, ..., -64.705734, -64.630921,\n",
       "        -64.556032]])</pre></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'>...</div><input id='attrs-5eb0d03f-b83d-4e01-9db7-a1b22db3ec9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5eb0d03f-b83d-4e01-9db7-a1b22db3ec9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ec9564a-00bc-4c13-9214-c66861d08c95' class='xr-var-data-in' type='checkbox'><label for='data-8ec9564a-00bc-4c13-9214-c66861d08c95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude of PSI-points</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>field :</span></dt><dd>lat_psi, scalar</dd><dt><span>_ChunkSizes :</span></dt><dd>[105 241]</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>array([[32.283855, 32.324322, 32.364763, ..., 41.028237, 41.060656, 41.093033],\n",
       "       [32.332196, 32.372688, 32.413153, ..., 41.081978, 41.114416, 41.146814],\n",
       "       [32.380519, 32.421036, 32.461527, ..., 41.135699, 41.168158, 41.200575],\n",
       "       ...,\n",
       "       [37.112996, 37.15596 , 37.198895, ..., 46.396861, 46.431282, 46.465659],\n",
       "       [37.159203, 37.20219 , 37.24515 , ..., 46.448232, 46.482672, 46.517068],\n",
       "       [37.205385, 37.248396, 37.291379, ..., 46.499576, 46.534035, 46.568451]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-02-20T12:00:00</div><input id='attrs-44e3ef97-37f4-4f2c-a0d7-cf9218e72a3d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44e3ef97-37f4-4f2c-a0d7-cf9218e72a3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7a511f6-e657-4b20-92be-357307522268' class='xr-var-data-in' type='checkbox'><label for='data-a7a511f6-e657-4b20-92be-357307522268' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>averaged time since initialization</dd><dt><span>field :</span></dt><dd>time, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>512</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-02-20T12:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2019-07-21T12:00:00</div><input id='attrs-d0fc3116-d83e-497c-9c38-b36263e982c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0fc3116-d83e-497c-9c38-b36263e982c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b18bd6ee-a509-4d74-a3aa-2c7741442769' class='xr-var-data-in' type='checkbox'><label for='data-b18bd6ee-a509-4d74-a3aa-2c7741442769' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Forecast time for ForecastModelRunCollection</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2019-07-21T12:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_run</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-3d90ba03-5b5b-456a-9f55-07e232097fd0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d90ba03-5b5b-456a-9f55-07e232097fd0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bac22081-09ab-46ed-8495-8c04be5751f8' class='xr-var-data-in' type='checkbox'><label for='data-bac22081-09ab-46ed-8495-8c04be5751f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>run times for coordinate = time</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd><dt><span>_CoordinateAxisType :</span></dt><dd>RunTime</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2019-07-20T12:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d1d1ca64-3af7-440d-b4c0-3e035fd31fc8' class='xr-section-summary-in' type='checkbox'  ><label for='section-d1d1ca64-3af7-440d-b4c0-3e035fd31fc8' class='xr-section-summary' >Data variables: <span>(108)</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-175647a4-ac58-4334-93fa-7641ea053692' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-175647a4-ac58-4334-93fa-7641ea053692' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc691b2b-eb5e-45a4-b4a8-23699efa7409' class='xr-var-data-in' type='checkbox'><label for='data-dc691b2b-eb5e-45a4-b4a8-23699efa7409' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(720, 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-160b2363-eb03-4455-9403-4c754a42f087' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-160b2363-eb03-4455-9403-4c754a42f087' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a82d4718-9a53-4db6-a246-cae161f8f3d2' class='xr-var-data-in' type='checkbox'><label for='data-a82d4718-9a53-4db6-a246-cae161f8f3d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(30, 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-99d41bd2-dd33-4abb-a584-d4e233bdd238' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99d41bd2-dd33-4abb-a584-d4e233bdd238' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72873250-173a-431c-b1e2-61393e1b6001' class='xr-var-data-in' type='checkbox'><label for='data-72873250-173a-431c-b1e2-61393e1b6001' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>second</dd><dt><span>long_name :</span></dt><dd>size of long time-steps</dd></dl></div><div class='xr-var-data'><pre>array(360.)</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-32b2799c-8353-4d08-8f3b-291e74b03791' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32b2799c-8353-4d08-8f3b-291e74b03791' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37fb2acc-2bd4-4273-8492-dc1c43f98200' class='xr-var-data-in' type='checkbox'><label for='data-37fb2acc-2bd4-4273-8492-dc1c43f98200' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>second</dd><dt><span>long_name :</span></dt><dd>size of short time-steps</dd></dl></div><div class='xr-var-data'><pre>array(12.)</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-084fb618-b894-40d4-80a7-c76c8c91223e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-084fb618-b894-40d4-80a7-c76c8c91223e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-352be4fa-9ec7-4048-903f-f5b110252e64' class='xr-var-data-in' type='checkbox'><label for='data-352be4fa-9ec7-4048-903f-f5b110252e64' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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;2021-02-20T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>shuffle</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-a35b285d-c384-40ab-b737-b27b3565b2d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a35b285d-c384-40ab-b737-b27b3565b2d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89e9a89f-aacb-467a-adc8-ae5f401da974' class='xr-var-data-in' type='checkbox'><label for='data-89e9a89f-aacb-467a-adc8-ae5f401da974' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>NetCDF-4/HDF5 file format shuffle filer flag</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>deflate</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-c34426a2-8a39-4456-b9f5-c88bf0d5111b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c34426a2-8a39-4456-b9f5-c88bf0d5111b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a17a797-f972-4b8d-8af9-c2dcd28be18e' class='xr-var-data-in' type='checkbox'><label for='data-4a17a797-f972-4b8d-8af9-c2dcd28be18e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>NetCDF-4/HDF5 file format deflate filer flag</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>deflate_level</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-4f0f3ea1-8329-43be-9931-70f996477632' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f0f3ea1-8329-43be-9931-70f996477632' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6f2cb0b-a141-4f8f-82ea-51aa210a92a6' class='xr-var-data-in' type='checkbox'><label for='data-a6f2cb0b-a141-4f8f-82ea-51aa210a92a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>NetCDF-4/HDF5 file format deflate level parameter</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>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-e74a2a17-9708-4d35-8990-b3110d6f2653' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e74a2a17-9708-4d35-8990-b3110d6f2653' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a594438-9fdd-4c13-b81d-c883dcf79d72' class='xr-var-data-in' type='checkbox'><label for='data-8a594438-9fdd-4c13-b81d-c883dcf79d72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(10, 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-cd138c72-121f-4d60-9e42-0eba1d059119' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd138c72-121f-4d60-9e42-0eba1d059119' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9de215e1-fb7c-41ba-af4e-761fe1d95239' class='xr-var-data-in' type='checkbox'><label for='data-9de215e1-fb7c-41ba-af4e-761fe1d95239' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(240, 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-b9b87cf8-5c22-4f6d-bee3-2ae39856d940' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9b87cf8-5c22-4f6d-bee3-2ae39856d940' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36b33ffe-0c5c-4519-8a7c-ba27512117e1' class='xr-var-data-in' type='checkbox'><label for='data-36b33ffe-0c5c-4519-8a7c-ba27512117e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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></dl></div><div class='xr-var-data'><pre>array(240, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ntsAVG</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-1256e734-ed20-4a64-9e20-fbdcb67b448d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1256e734-ed20-4a64-9e20-fbdcb67b448d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8db4bb2c-9ddf-4e5e-9b1f-ef9762d73a70' class='xr-var-data-in' type='checkbox'><label for='data-8db4bb2c-9ddf-4e5e-9b1f-ef9762d73a70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>starting time-step for accumulation of time-averaged fields</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>nAVG</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-de62dab6-032b-43b9-a756-5f32f7be32b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de62dab6-032b-43b9-a756-5f32f7be32b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-444fd0e0-6e1b-4830-93e8-4a8bda262c09' class='xr-var-data-in' type='checkbox'><label for='data-444fd0e0-6e1b-4830-93e8-4a8bda262c09' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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 time-averaged records</dd></dl></div><div class='xr-var-data'><pre>array(240, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ndefAVG</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-38a11fc5-7c58-45a2-a22e-54ca92c127a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38a11fc5-7c58-45a2-a22e-54ca92c127a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a7caeec-ba0e-472e-ade5-749463bded38' class='xr-var-data-in' type='checkbox'><label for='data-5a7caeec-ba0e-472e-ade5-749463bded38' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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 average files</dd></dl></div><div class='xr-var-data'><pre>array(240, 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-3fdad3ed-2ac2-4931-b2ca-0fec379f8762' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fdad3ed-2ac2-4931-b2ca-0fec379f8762' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eeb95b96-e8dd-4945-a10f-9718f7a51118' class='xr-var-data-in' type='checkbox'><label for='data-eeb95b96-e8dd-4945-a10f-9718f7a51118' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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-8f3d0380-71d9-4968-9167-2797cb9b7844' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f3d0380-71d9-4968-9167-2797cb9b7844' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e6a19b8-34a9-4aaa-9c21-3a4cc7b842cc' class='xr-var-data-in' type='checkbox'><label for='data-1e6a19b8-34a9-4aaa-9c21-3a4cc7b842cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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-52538421-3029-4faf-aa34-5411c72191dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52538421-3029-4faf-aa34-5411c72191dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d43c1b4-94ee-4c39-bfe6-92983930777a' class='xr-var-data-in' type='checkbox'><label for='data-1d43c1b4-94ee-4c39-bfe6-92983930777a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'>...</div><input id='attrs-1164c29d-def9-4d71-848b-ca57852d3951' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1164c29d-def9-4d71-848b-ca57852d3951' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-732065f9-d20e-4518-a7e9-046f595311d0' class='xr-var-data-in' type='checkbox'><label for='data-732065f9-d20e-4518-a7e9-046f595311d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter2 second-1</dd><dt><span>long_name :</span></dt><dd>nonlinear model Laplacian mixing coefficient for tracers</dd></dl></div><div class='xr-var-data'><pre>array([20., 20.])</pre></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-86df3126-0bb8-4c19-91ee-bd0b3ec35e15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86df3126-0bb8-4c19-91ee-bd0b3ec35e15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09faf18d-9f07-4348-832b-b071efeff7da' class='xr-var-data-in' type='checkbox'><label for='data-09faf18d-9f07-4348-832b-b071efeff7da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter2 second-1</dd><dt><span>long_name :</span></dt><dd>nonlinear model Laplacian mixing coefficient for momentum</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>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-19c32ec9-6fff-4526-b767-ea037fcfe43c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19c32ec9-6fff-4526-b767-ea037fcfe43c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d31c94b0-b785-40a0-b435-f39d057922b6' class='xr-var-data-in' type='checkbox'><label for='data-d31c94b0-b785-40a0-b435-f39d057922b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'>...</div><input id='attrs-b663c5a6-3c54-415d-a9df-a55a5d1aa86a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b663c5a6-3c54-415d-a9df-a55a5d1aa86a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-775daddd-c322-4c6e-8ebe-e6cbdcda66a4' class='xr-var-data-in' type='checkbox'><label for='data-775daddd-c322-4c6e-8ebe-e6cbdcda66a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>array([0, 0], dtype=int32)</pre></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'>...</div><input id='attrs-098d7773-2858-45bd-b341-9197a8ab9087' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-098d7773-2858-45bd-b341-9197a8ab9087' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bdfa61e-b6a2-4a12-a6b1-9f7219c913c4' class='xr-var-data-in' type='checkbox'><label for='data-2bdfa61e-b6a2-4a12-a6b1-9f7219c913c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter2 second-1</dd><dt><span>long_name :</span></dt><dd>background vertical mixing coefficient for tracers</dd></dl></div><div class='xr-var-data'><pre>array([1.e-06, 1.e-06])</pre></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-a2c33240-6374-4318-8ee5-01fb6c1a41e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2c33240-6374-4318-8ee5-01fb6c1a41e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9efe3c6e-de77-4e5a-8cd2-d5b59a7d6155' class='xr-var-data-in' type='checkbox'><label for='data-9efe3c6e-de77-4e5a-8cd2-d5b59a7d6155' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter2 second-1</dd><dt><span>long_name :</span></dt><dd>background vertical mixing coefficient for momentum</dd></dl></div><div class='xr-var-data'><pre>array(1.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-b6b9a3e6-ebd7-4254-b689-f9ea4cd4c104' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6b9a3e6-ebd7-4254-b689-f9ea4cd4c104' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6928a61b-6ee7-44ff-984f-fd4a3dc9a85c' class='xr-var-data-in' type='checkbox'><label for='data-6928a61b-6ee7-44ff-984f-fd4a3dc9a85c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter2 second-1</dd><dt><span>long_name :</span></dt><dd>background vertical mixing coefficient for turbulent energy</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-f7e8c5b0-fd88-4035-98f3-ef584024103d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7e8c5b0-fd88-4035-98f3-ef584024103d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b588134b-4336-4834-a705-f424fee088d6' class='xr-var-data-in' type='checkbox'><label for='data-b588134b-4336-4834-a705-f424fee088d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter2 second-1</dd><dt><span>long_name :</span></dt><dd>background vertical mixing coefficient for length scale</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-1e3ef766-f35c-4827-892e-da427fba5d06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e3ef766-f35c-4827-892e-da427fba5d06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04e00a5a-00fb-4589-b988-3d69450d59dd' class='xr-var-data-in' type='checkbox'><label for='data-04e00a5a-00fb-4589-b988-3d69450d59dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>long_name :</span></dt><dd>linear drag coefficient</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-1dab6e3f-8613-4389-ad53-0041f71c441b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1dab6e3f-8613-4389-ad53-0041f71c441b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f78266dd-e85c-4c1c-be8f-e843b4260df8' class='xr-var-data-in' type='checkbox'><label for='data-f78266dd-e85c-4c1c-be8f-e843b4260df8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(0.003)</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-87b07b54-1d71-46ab-91b2-a4bd2128da26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87b07b54-1d71-46ab-91b2-a4bd2128da26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed2eedc2-fda1-4e7b-84e4-b81b860a9a7a' class='xr-var-data-in' type='checkbox'><label for='data-ed2eedc2-fda1-4e7b-84e4-b81b860a9a7a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter</dd><dt><span>long_name :</span></dt><dd>bottom roughness</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>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-3005b0e2-a295-49ee-9af5-5fd3c3dedac0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3005b0e2-a295-49ee-9af5-5fd3c3dedac0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2518c132-53b5-4130-afa0-9500df2a75b1' class='xr-var-data-in' type='checkbox'><label for='data-2518c132-53b5-4130-afa0-9500df2a75b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter</dd><dt><span>long_name :</span></dt><dd>surface roughness</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-f6925ba8-3482-4e59-b613-c3100d425aa1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6925ba8-3482-4e59-b613-c3100d425aa1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ea5a2ca-cfe4-4e83-a01a-45ef0e416b86' class='xr-var-data-in' type='checkbox'><label for='data-3ea5a2ca-cfe4-4e83-a01a-45ef0e416b86' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(0.)</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-0c91bf89-f936-434d-b8f2-ef19c9b6f16f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c91bf89-f936-434d-b8f2-ef19c9b6f16f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00f1c093-006c-42d2-961a-9dd38020fa62' class='xr-var-data-in' type='checkbox'><label for='data-00f1c093-006c-42d2-961a-9dd38020fa62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(1.)</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-44be1afe-863a-4615-a446-fb16b314d9f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44be1afe-863a-4615-a446-fb16b314d9f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58a683c5-e2aa-40f6-a021-cf47785c8a19' class='xr-var-data-in' type='checkbox'><label for='data-58a683c5-e2aa-40f6-a021-cf47785c8a19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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-e05fef90-4320-4537-a084-16ad1f522227' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e05fef90-4320-4537-a084-16ad1f522227' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6609069-c2d8-46f0-ac40-e29778c3a555' class='xr-var-data-in' type='checkbox'><label for='data-e6609069-c2d8-46f0-ac40-e29778c3a555' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(0.5544)</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-288a5809-0e53-4d1a-b934-4465dd15af47' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-288a5809-0e53-4d1a-b934-4465dd15af47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-043d37b1-e070-42c3-aea1-ce0bcca2e44b' class='xr-var-data-in' type='checkbox'><label for='data-043d37b1-e070-42c3-aea1-ce0bcca2e44b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(0.9)</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-286ccaa0-7fa4-4eae-add0-49bb8ae188c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-286ccaa0-7fa4-4eae-add0-49bb8ae188c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08f26713-921c-4c49-b4e0-83571160c668' class='xr-var-data-in' type='checkbox'><label for='data-08f26713-921c-4c49-b4e0-83571160c668' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(0.52)</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-ea02cfee-447e-429c-bd20-0879c9682c98' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea02cfee-447e-429c-bd20-0879c9682c98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-679889ac-bad9-41d5-91e0-ddc4949489aa' class='xr-var-data-in' type='checkbox'><label for='data-679889ac-bad9-41d5-91e0-ddc4949489aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(2.5)</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-d419ea0d-ace2-442a-a2b8-52f88a4c58a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d419ea0d-ace2-442a-a2b8-52f88a4c58a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df3dd056-3119-4aa4-8040-44c0dc13afcd' class='xr-var-data-in' type='checkbox'><label for='data-df3dd056-3119-4aa4-8040-44c0dc13afcd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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-7254cfde-82a4-402b-b130-1d3bd438edf4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7254cfde-82a4-402b-b130-1d3bd438edf4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-784f1a4f-5c5b-48b0-a9aa-568ddce56567' class='xr-var-data-in' type='checkbox'><label for='data-784f1a4f-5c5b-48b0-a9aa-568ddce56567' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(1.96)</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-97ff543c-6002-4861-b199-c8b6e8969a0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97ff543c-6002-4861-b199-c8b6e8969a0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e3d1c64-110b-4d1b-97ed-5d18898c0452' class='xr-var-data-in' type='checkbox'><label for='data-9e3d1c64-110b-4d1b-97ed-5d18898c0452' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(1.96)</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-b86a1d2d-cee2-43ba-97e8-f9ffea2f0db3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b86a1d2d-cee2-43ba-97e8-f9ffea2f0db3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d2400d9-6470-43d8-8c72-33ce3454c560' class='xr-var-data-in' type='checkbox'><label for='data-6d2400d9-6470-43d8-8c72-33ce3454c560' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(5.e-06)</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-167e591d-8758-4368-be59-af65401069a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-167e591d-8758-4368-be59-af65401069a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-127fae29-1be8-4b90-989f-aa50dae01049' class='xr-var-data-in' type='checkbox'><label for='data-127fae29-1be8-4b90-989f-aa50dae01049' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(5.e-06)</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-21ae938e-ddd0-4bf8-bb04-0f15c597e2c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21ae938e-ddd0-4bf8-bb04-0f15c597e2c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90ece1c0-cb3c-4c83-a8c0-2896bec0f57f' class='xr-var-data-in' type='checkbox'><label for='data-90ece1c0-cb3c-4c83-a8c0-2896bec0f57f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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-63a1d62b-8974-4391-a1ab-3af3b241ddb7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63a1d62b-8974-4391-a1ab-3af3b241ddb7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c22d703-11b2-42f8-8f93-a114fce652ed' class='xr-var-data-in' type='checkbox'><label for='data-2c22d703-11b2-42f8-8f93-a114fce652ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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-0f509991-a17f-43f0-ba9a-aace261aeda8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f509991-a17f-43f0-ba9a-aace261aeda8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef7db093-a931-411f-a92a-3ec715295211' class='xr-var-data-in' type='checkbox'><label for='data-ef7db093-a931-411f-a92a-3ec715295211' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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-9946f6a6-6f57-45a4-a2ea-5c0788c6e17f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9946f6a6-6f57-45a4-a2ea-5c0788c6e17f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f6f195f-e3f1-4946-861f-ab7d897854d3' class='xr-var-data-in' type='checkbox'><label for='data-2f6f195f-e3f1-4946-861f-ab7d897854d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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-10856297-b0f3-4424-b3dd-33548abecb52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10856297-b0f3-4424-b3dd-33548abecb52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-407e6ed9-04b4-488f-ba7b-f4988aa74ed7' class='xr-var-data-in' type='checkbox'><label for='data-407e6ed9-04b4-488f-ba7b-f4988aa74ed7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>day-1</dd><dt><span>long_name :</span></dt><dd>free-surface nudging/relaxation inverse time scale</dd></dl></div><div class='xr-var-data'><pre>array(0.1)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>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-f21eeb94-67a0-43fe-ab45-57911f3424bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f21eeb94-67a0-43fe-ab45-57911f3424bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfa7c617-09e3-41f7-9dac-25b0840f5694' class='xr-var-data-in' type='checkbox'><label for='data-bfa7c617-09e3-41f7-9dac-25b0840f5694' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>day-1</dd><dt><span>long_name :</span></dt><dd>2D momentum nudging/relaxation inverse time scale</dd></dl></div><div class='xr-var-data'><pre>array(0.1)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>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-137f272c-dc6e-423f-815a-38c5e1171974' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-137f272c-dc6e-423f-815a-38c5e1171974' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ad85f35-cd52-4bfd-9e51-1dedfca35893' class='xr-var-data-in' type='checkbox'><label for='data-0ad85f35-cd52-4bfd-9e51-1dedfca35893' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>day-1</dd><dt><span>long_name :</span></dt><dd>3D momentum nudging/relaxation inverse time scale</dd></dl></div><div class='xr-var-data'><pre>array(0.1)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tnudg</span></div><div class='xr-var-dims'>(tracer)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6e139e4b-2d40-4c6d-b290-35399e1d0d42' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e139e4b-2d40-4c6d-b290-35399e1d0d42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb20b493-d10a-49e4-8cae-28c60f18b770' class='xr-var-data-in' type='checkbox'><label for='data-fb20b493-d10a-49e4-8cae-28c60f18b770' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>day-1</dd><dt><span>long_name :</span></dt><dd>Tracers nudging/relaxation inverse time scale</dd></dl></div><div class='xr-var-data'><pre>array([0.1, 0.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FSobc_in</span></div><div class='xr-var-dims'>(boundary)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2edb53de-a46d-45fb-845e-aaafd6b6d21c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2edb53de-a46d-45fb-845e-aaafd6b6d21c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ce116c9-bc6a-46fe-b1a9-599e701567f1' class='xr-var-data-in' type='checkbox'><label for='data-5ce116c9-bc6a-46fe-b1a9-599e701567f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>second-1</dd><dt><span>long_name :</span></dt><dd>free-surface inflow, nudging inverse time scale</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FSobc_out</span></div><div class='xr-var-dims'>(boundary)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4e12dc73-fb64-4d18-af09-1b1457feca1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e12dc73-fb64-4d18-af09-1b1457feca1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc4f7403-76f1-4053-bf82-4d54e69f62cf' class='xr-var-data-in' type='checkbox'><label for='data-dc4f7403-76f1-4053-bf82-4d54e69f62cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>second-1</dd><dt><span>long_name :</span></dt><dd>free-surface outflow, nudging inverse time scale</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>M2obc_in</span></div><div class='xr-var-dims'>(boundary)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0e5ec1c5-c1e3-4647-9342-797f0d778a99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e5ec1c5-c1e3-4647-9342-797f0d778a99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a370e379-a138-43d3-bfa8-80a4140db435' class='xr-var-data-in' type='checkbox'><label for='data-a370e379-a138-43d3-bfa8-80a4140db435' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>second-1</dd><dt><span>long_name :</span></dt><dd>2D momentum inflow, nudging inverse time scale</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>M2obc_out</span></div><div class='xr-var-dims'>(boundary)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1c52808f-4264-4b98-9348-f4c0549f3051' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c52808f-4264-4b98-9348-f4c0549f3051' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d868c73-0142-4c7c-848b-ef9e4c878d89' class='xr-var-data-in' type='checkbox'><label for='data-2d868c73-0142-4c7c-848b-ef9e4c878d89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>second-1</dd><dt><span>long_name :</span></dt><dd>2D momentum outflow, nudging inverse time scale</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tobc_in</span></div><div class='xr-var-dims'>(boundary, tracer)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3e3d50a0-7772-4e28-8388-5aae7da47623' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e3d50a0-7772-4e28-8388-5aae7da47623' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d92f74cb-91de-4c85-b507-221e2d19de85' class='xr-var-data-in' type='checkbox'><label for='data-d92f74cb-91de-4c85-b507-221e2d19de85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>second-1</dd><dt><span>long_name :</span></dt><dd>tracers inflow, nudging inverse time scale</dd><dt><span>_ChunkSizes :</span></dt><dd>[4 2]</dd></dl></div><div class='xr-var-data'><pre>array([[0., 0.],\n",
       "       [0., 0.],\n",
       "       [0., 0.],\n",
       "       [0., 0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tobc_out</span></div><div class='xr-var-dims'>(boundary, tracer)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-63935e60-1af1-46ea-9caa-98532a431ea3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63935e60-1af1-46ea-9caa-98532a431ea3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32b2057f-e655-4c23-b92f-942ace0b6884' class='xr-var-data-in' type='checkbox'><label for='data-32b2057f-e655-4c23-b92f-942ace0b6884' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>second-1</dd><dt><span>long_name :</span></dt><dd>tracers outflow, nudging inverse time scale</dd><dt><span>_ChunkSizes :</span></dt><dd>[4 2]</dd></dl></div><div class='xr-var-data'><pre>array([[0., 0.],\n",
       "       [0., 0.],\n",
       "       [0., 0.],\n",
       "       [0., 0.]])</pre></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'>...</div><input id='attrs-d4eda7f4-4828-4419-830e-86549cc12fe1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4eda7f4-4828-4419-830e-86549cc12fe1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-211a752a-3fcc-4947-bf18-f2c1bf98e689' class='xr-var-data-in' type='checkbox'><label for='data-211a752a-3fcc-4947-bf18-f2c1bf98e689' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>second-1</dd><dt><span>long_name :</span></dt><dd>3D momentum inflow, nudging inverse time scale</dd></dl></div><div class='xr-var-data'><pre>array([5.787037e-06, 5.787037e-06, 5.787037e-06, 0.000000e+00])</pre></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'>...</div><input id='attrs-8f0cce3a-c031-4d97-95bd-0cd987dea729' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f0cce3a-c031-4d97-95bd-0cd987dea729' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce4d50f9-67c1-4cef-8404-2fd895b84e50' class='xr-var-data-in' type='checkbox'><label for='data-ce4d50f9-67c1-4cef-8404-2fd895b84e50' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>second-1</dd><dt><span>long_name :</span></dt><dd>3D momentum outflow, nudging inverse time scale</dd></dl></div><div class='xr-var-data'><pre>array([1.157407e-06, 1.157407e-06, 1.157407e-06, 0.000000e+00])</pre></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-893b02c8-e85f-4f78-9565-dce069382eb6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-893b02c8-e85f-4f78-9565-dce069382eb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b37e0d84-3db6-4250-9536-72bcdcc11450' class='xr-var-data-in' type='checkbox'><label for='data-b37e0d84-3db6-4250-9536-72bcdcc11450' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kilogram meter-3</dd><dt><span>long_name :</span></dt><dd>mean density used in Boussinesq approximation</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-4b3007ec-b18c-4524-bd55-ed6bb8e1ecc1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b3007ec-b18c-4524-bd55-ed6bb8e1ecc1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a16290b-832e-466f-b98f-e95fc2c6cc32' class='xr-var-data-in' type='checkbox'><label for='data-3a16290b-832e-466f-b98f-e95fc2c6cc32' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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-ad39f94c-5cf7-4d74-b009-172f0b5e4d49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad39f94c-5cf7-4d74-b009-172f0b5e4d49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04d962d8-3dc2-43ed-a1fe-c908e43ae221' class='xr-var-data-in' type='checkbox'><label for='data-04d962d8-3dc2-43ed-a1fe-c908e43ae221' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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-5734a0f1-ece5-4160-bde0-8dd320ef6600' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5734a0f1-ece5-4160-bde0-8dd320ef6600' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77cff252-906e-496e-90ff-f4bdf09ecca8' class='xr-var-data-in' type='checkbox'><label for='data-77cff252-906e-496e-90ff-f4bdf09ecca8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'>...</div><input id='attrs-70fe66aa-8c69-4e77-bdb5-a4fc03d8b1ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70fe66aa-8c69-4e77-bdb5-a4fc03d8b1ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7114dcda-75ef-45d2-88c5-0920ff67dd59' class='xr-var-data-in' type='checkbox'><label for='data-7114dcda-75ef-45d2-88c5-0920ff67dd59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>array([1, 1], dtype=int32)</pre></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-abb9de8b-c4a6-4d74-b3ad-de608e2d272f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-abb9de8b-c4a6-4d74-b3ad-de608e2d272f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5db7991-aac1-4cf5-8ddb-6e0b31e29cf5' class='xr-var-data-in' type='checkbox'><label for='data-d5db7991-aac1-4cf5-8ddb-6e0b31e29cf5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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-bd67f201-7cb2-472c-934d-741ca4d7c175' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd67f201-7cb2-472c-934d-741ca4d7c175' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f38465b5-65d7-4620-8bee-3ea057b0336c' class='xr-var-data-in' type='checkbox'><label for='data-f38465b5-65d7-4620-8bee-3ea057b0336c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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-fa2b6bd3-7430-4758-ab4f-2b70306b7042' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa2b6bd3-7430-4758-ab4f-2b70306b7042' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f398ca1-fff6-4371-ae27-0196b3fb8007' class='xr-var-data-in' type='checkbox'><label for='data-5f398ca1-fff6-4371-ae27-0196b3fb8007' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'>...</div><input id='attrs-05d463d0-c730-4044-8d77-3853c724a03b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05d463d0-c730-4044-8d77-3853c724a03b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf1d2322-4f94-42ca-980a-96ea5eadc1e6' class='xr-var-data-in' type='checkbox'><label for='data-cf1d2322-4f94-42ca-980a-96ea5eadc1e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>array([1, 1], dtype=int32)</pre></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-70cc7d39-5802-4582-a8d4-e9b9b71152f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70cc7d39-5802-4582-a8d4-e9b9b71152f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-785719a7-aed4-4da0-b679-fa9552ce4a8d' class='xr-var-data-in' type='checkbox'><label for='data-785719a7-aed4-4da0-b679-fa9552ce4a8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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-7c3ddce1-e7ef-4860-9e65-e752c9ce4ac6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c3ddce1-e7ef-4860-9e65-e752c9ce4ac6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d52968a9-a705-4da3-a71a-4193d88c8737' class='xr-var-data-in' type='checkbox'><label for='data-d52968a9-a705-4da3-a71a-4193d88c8737' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'>...</div><input id='attrs-1860ad1d-ecda-4d97-9e8b-a57e08fff60b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1860ad1d-ecda-4d97-9e8b-a57e08fff60b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41cec24d-7479-4a90-8aa8-92a5118d74da' class='xr-var-data-in' type='checkbox'><label for='data-41cec24d-7479-4a90-8aa8-92a5118d74da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>array([1, 1], dtype=int32)</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-5fd0dfd3-53ba-4a50-b41f-84d054131fea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5fd0dfd3-53ba-4a50-b41f-84d054131fea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bc8b9e6-b9e8-4722-8024-40d0e697a17c' class='xr-var-data-in' type='checkbox'><label for='data-0bc8b9e6-b9e8-4722-8024-40d0e697a17c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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-c7fec7dc-23a7-43f4-84de-cf74c66614fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7fec7dc-23a7-43f4-84de-cf74c66614fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb498a66-1780-4977-b9d9-ac93799a58b1' class='xr-var-data-in' type='checkbox'><label for='data-cb498a66-1780-4977-b9d9-ac93799a58b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter</dd><dt><span>long_name :</span></dt><dd>domain length in the XI-direction</dd></dl></div><div class='xr-var-data'><pre>array(2303426.353481)</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-9bcc36e3-d9fb-4ef7-b6ae-8c86973238f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9bcc36e3-d9fb-4ef7-b6ae-8c86973238f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49722046-16f8-46af-be4e-60cda0edcbfe' class='xr-var-data-in' type='checkbox'><label for='data-49722046-16f8-46af-be4e-60cda0edcbfe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter</dd><dt><span>long_name :</span></dt><dd>domain length in the ETA-direction</dd></dl></div><div class='xr-var-data'><pre>array(2068968.854753)</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-80fb071f-9cc8-43e7-844c-d67eb305ef37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80fb071f-9cc8-43e7-844c-d67eb305ef37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5fe90e1c-88dd-4aac-8702-de9debddb993' class='xr-var-data-in' type='checkbox'><label for='data-5fe90e1c-88dd-4aac-8702-de9debddb993' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(2, 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-69c59f29-9dbb-4fcf-980b-6318dff1fdd6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69c59f29-9dbb-4fcf-980b-6318dff1fdd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ceb79dae-02f2-4fc4-9242-d8afc1379fe8' class='xr-var-data-in' type='checkbox'><label for='data-ceb79dae-02f2-4fc4-9242-d8afc1379fe8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(4, 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-cefb7224-c97a-445b-a06b-f84e490415c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cefb7224-c97a-445b-a06b-f84e490415c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8bf63b8-80fd-4546-a186-1b16e0b8074d' class='xr-var-data-in' type='checkbox'><label for='data-a8bf63b8-80fd-4546-a186-1b16e0b8074d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(7.)</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-53d39b2c-2687-4f9f-8aaf-077d1d6a6d47' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53d39b2c-2687-4f9f-8aaf-077d1d6a6d47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8519b79d-6b0f-41cd-839e-b3f0321755f1' class='xr-var-data-in' type='checkbox'><label for='data-8519b79d-6b0f-41cd-839e-b3f0321755f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(2.)</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-30e243d3-e592-497c-b17d-0f0c9ef1a62a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30e243d3-e592-497c-b17d-0f0c9ef1a62a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-598e56b5-6df7-476f-84e9-e0a0baf448fb' class='xr-var-data-in' type='checkbox'><label for='data-598e56b5-6df7-476f-84e9-e0a0baf448fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter</dd><dt><span>long_name :</span></dt><dd>S-coordinate surface/bottom layer width</dd></dl></div><div class='xr-var-data'><pre>array(250.)</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-68c96909-72ae-410e-8438-9d67326b66a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68c96909-72ae-410e-8438-9d67326b66a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-530bc413-44b1-4320-a8e8-1598953bd6bd' class='xr-var-data-in' type='checkbox'><label for='data-530bc413-44b1-4320-a8e8-1598953bd6bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter</dd><dt><span>long_name :</span></dt><dd>S-coordinate parameter, critical depth</dd></dl></div><div class='xr-var-data'><pre>array(250.)</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-1afc3367-9eae-4b65-9e6a-0fb7b2a183ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1afc3367-9eae-4b65-9e6a-0fb7b2a183ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16fd9c6c-5151-4221-8efd-e52d13fc1cee' class='xr-var-data-in' type='checkbox'><label for='data-16fd9c6c-5151-4221-8efd-e52d13fc1cee' title='Show/Hide data repr'><svg 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'>...</div><input id='attrs-aee17bda-588a-475a-8620-4a3a522644fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aee17bda-588a-475a-8620-4a3a522644fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2514608e-3033-4de3-9aeb-91c3a3dd5cba' class='xr-var-data-in' type='checkbox'><label for='data-2514608e-3033-4de3-9aeb-91c3a3dd5cba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>array([-9.713916e-01, -9.079391e-01, -8.381633e-01, -7.646783e-01,\n",
       "       -6.900467e-01, -6.165281e-01, -5.459387e-01, -4.796058e-01,\n",
       "       -4.183900e-01, -3.627483e-01, -3.128143e-01, -2.684801e-01,\n",
       "       -2.294704e-01, -1.954044e-01, -1.658437e-01, -1.403292e-01,\n",
       "       -1.184057e-01, -9.963894e-02, -8.362549e-02, -6.999831e-02,\n",
       "       -5.842848e-02, -4.862480e-02, -4.033201e-02, -3.332809e-02,\n",
       "       -2.742116e-02, -2.244634e-02, -1.826257e-02, -1.474965e-02,\n",
       "       -1.180558e-02, -9.344132e-03, -7.292644e-03, -5.590201e-03,\n",
       "       -4.185993e-03, -3.037934e-03, -2.111498e-03, -1.378748e-03,\n",
       "       -8.175364e-04, -4.108738e-04, -1.464323e-04, -1.618838e-05])</pre></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'>...</div><input id='attrs-8d072e80-4307-4dda-82a0-987681c050c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d072e80-4307-4dda-82a0-987681c050c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c14ddc4f-96e6-4b96-b50a-98ffa44955dd' class='xr-var-data-in' type='checkbox'><label for='data-c14ddc4f-96e6-4b96-b50a-98ffa44955dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>array([-1.000000e+00, -9.406122e-01, -8.736807e-01, -8.017196e-01,\n",
       "       -7.273553e-01, -6.530234e-01, -5.807728e-01, -5.121761e-01,\n",
       "       -4.483212e-01, -3.898574e-01, -3.370698e-01, -2.899613e-01,\n",
       "       -2.483317e-01, -2.118460e-01, -1.800894e-01, -1.526095e-01,\n",
       "       -1.289464e-01, -1.086538e-01, -9.131187e-02, -7.653507e-02,\n",
       "       -6.397529e-02, -5.332264e-02, -4.430416e-02, -3.668160e-02,\n",
       "       -3.024840e-02, -2.482658e-02, -2.026354e-02, -1.642902e-02,\n",
       "       -1.321224e-02, -1.051937e-02, -8.271205e-03, -6.401187e-03,\n",
       "       -4.853638e-03, -3.582268e-03, -2.548903e-03, -1.722424e-03,\n",
       "       -1.077876e-03, -5.957615e-04, -2.614744e-04, -6.487618e-05,\n",
       "        0.000000e+00])</pre></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'>...</div><input id='attrs-1f33f0ef-2367-465b-afb9-0d6d98c391c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f33f0ef-2367-465b-afb9-0d6d98c391c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79c4a15a-fd3d-4af1-b22e-36d3b71f75b7' class='xr-var-data-in' type='checkbox'><label for='data-79c4a15a-fd3d-4af1-b22e-36d3b71f75b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter</dd><dt><span>long_name :</span></dt><dd>bathymetry at RHO-points</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>_ChunkSizes :</span></dt><dd>[106 242]</dd><dt><span>standard_name :</span></dt><dd>sea_floor_depth</dd></dl></div><div class='xr-var-data'><pre>array([[3947.630744, 4047.30966 , 4145.440091, ..., 4905.52878 , 4905.834331,\n",
       "        4907.843574],\n",
       "       [3895.597067, 3989.260041, 4091.443926, ..., 4893.12931 , 4891.779712,\n",
       "        4892.403993],\n",
       "       [3827.191754, 3917.243125, 4024.947479, ..., 4880.080071, 4877.732256,\n",
       "        4877.353168],\n",
       "       ...,\n",
       "       [  10.      ,    9.444444,    8.888889, ...,    5.208702,    8.08878 ,\n",
       "          11.20216 ],\n",
       "       [  10.      ,    9.444444,    8.888889, ...,    5.197241,    8.397964,\n",
       "          17.202611],\n",
       "       [  10.      ,    9.444444,    8.888889, ...,    5.394221,    9.385775,\n",
       "          18.50336 ]])</pre></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'>...</div><input id='attrs-9e311688-77df-4465-9be6-18e786cd2c00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e311688-77df-4465-9be6-18e786cd2c00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dde9c14e-7e23-4c73-9cae-57726341678c' class='xr-var-data-in' type='checkbox'><label for='data-dde9c14e-7e23-4c73-9cae-57726341678c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>second-1</dd><dt><span>long_name :</span></dt><dd>Coriolis parameter at RHO-points</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><dt><span>_ChunkSizes :</span></dt><dd>[106 242]</dd></dl></div><div class='xr-var-data'><pre>array([[7.777827e-05, 7.786535e-05, 7.795234e-05, ..., 9.568714e-05,\n",
       "        9.574931e-05, 9.581137e-05],\n",
       "       [7.788228e-05, 7.796937e-05, 7.805636e-05, ..., 9.579032e-05,\n",
       "        9.585248e-05, 9.591453e-05],\n",
       "       [7.798620e-05, 7.807330e-05, 7.816030e-05, ..., 9.589338e-05,\n",
       "        9.595552e-05, 9.601756e-05],\n",
       "       ...,\n",
       "       [8.797736e-05, 8.806457e-05, 8.815168e-05, ..., 1.056540e-04,\n",
       "        1.057143e-04, 1.057745e-04],\n",
       "       [8.807105e-05, 8.815825e-05, 8.824535e-05, ..., 1.057441e-04,\n",
       "        1.058044e-04, 1.058645e-04],\n",
       "       [8.816463e-05, 8.825183e-05, 8.833892e-05, ..., 1.058340e-04,\n",
       "        1.058942e-04, 1.059544e-04]])</pre></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'>...</div><input id='attrs-dfea1daf-0f24-4c0a-9e0f-11843072902e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dfea1daf-0f24-4c0a-9e0f-11843072902e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4cb5fb0-36f1-482e-a13f-a4074deb7eab' class='xr-var-data-in' type='checkbox'><label for='data-a4cb5fb0-36f1-482e-a13f-a4074deb7eab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter-1</dd><dt><span>long_name :</span></dt><dd>curvilinear coordinate metric in XI</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><dt><span>_ChunkSizes :</span></dt><dd>[106 242]</dd></dl></div><div class='xr-var-data'><pre>array([[0.000142, 0.000142, 0.000142, ..., 0.000143, 0.000143, 0.000143],\n",
       "       [0.000142, 0.000142, 0.000142, ..., 0.000143, 0.000143, 0.000143],\n",
       "       [0.000142, 0.000142, 0.000142, ..., 0.000143, 0.000143, 0.000143],\n",
       "       ...,\n",
       "       [0.000142, 0.000142, 0.000142, ..., 0.000145, 0.000145, 0.000145],\n",
       "       [0.000142, 0.000142, 0.000142, ..., 0.000145, 0.000145, 0.000145],\n",
       "       [0.000142, 0.000142, 0.000142, ..., 0.000145, 0.000145, 0.000145]])</pre></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'>...</div><input id='attrs-0cc9e384-031f-48d9-95c3-71d6aac3e307' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0cc9e384-031f-48d9-95c3-71d6aac3e307' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ccbff965-a447-4fe5-aedb-bd46d4a8a4b7' class='xr-var-data-in' type='checkbox'><label for='data-ccbff965-a447-4fe5-aedb-bd46d4a8a4b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter-1</dd><dt><span>long_name :</span></dt><dd>curvilinear coordinate metric in ETA</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><dt><span>_ChunkSizes :</span></dt><dd>[106 242]</dd></dl></div><div class='xr-var-data'><pre>array([[0.000143, 0.000143, 0.000143, ..., 0.000143, 0.000143, 0.000143],\n",
       "       [0.000143, 0.000143, 0.000143, ..., 0.000143, 0.000143, 0.000143],\n",
       "       [0.000143, 0.000143, 0.000143, ..., 0.000143, 0.000143, 0.000143],\n",
       "       ...,\n",
       "       [0.000143, 0.000143, 0.000143, ..., 0.000146, 0.000146, 0.000146],\n",
       "       [0.000143, 0.000143, 0.000143, ..., 0.000146, 0.000146, 0.000146],\n",
       "       [0.000143, 0.000143, 0.000143, ..., 0.000146, 0.000146, 0.000146]])</pre></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'>...</div><input id='attrs-e8bd7882-d8a3-4823-aa3b-c6f98fc494f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8bd7882-d8a3-4823-aa3b-c6f98fc494f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7aef464-1afa-4c6e-890c-9bed95199b68' class='xr-var-data-in' type='checkbox'><label for='data-c7aef464-1afa-4c6e-890c-9bed95199b68' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>radians</dd><dt><span>long_name :</span></dt><dd>angle between XI-axis and EAST</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><dt><span>_ChunkSizes :</span></dt><dd>[106 242]</dd></dl></div><div class='xr-var-data'><pre>array([[0.69363 , 0.693056, 0.692481, ..., 0.53992 , 0.539204, 0.538487],\n",
       "       [0.694113, 0.693539, 0.692964, ..., 0.540354, 0.539637, 0.538921],\n",
       "       [0.694596, 0.694022, 0.693448, ..., 0.540788, 0.540072, 0.539355],\n",
       "       ...,\n",
       "       [0.746435, 0.745853, 0.745271, ..., 0.588096, 0.587347, 0.586597],\n",
       "       [0.746979, 0.746398, 0.745815, ..., 0.588601, 0.587851, 0.587101],\n",
       "       [0.747524, 0.746942, 0.74636 , ..., 0.589106, 0.588356, 0.587606]])</pre></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'>...</div><input id='attrs-1caa8f9b-6c55-4ff7-bf6c-511eaf492b30' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1caa8f9b-6c55-4ff7-bf6c-511eaf492b30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-146518a5-12e3-4304-90c9-45bcd0510787' class='xr-var-data-in' type='checkbox'><label for='data-146518a5-12e3-4304-90c9-45bcd0510787' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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><dt><span>_ChunkSizes :</span></dt><dd>[106 242]</dd></dl></div><div class='xr-var-data'><pre>array([[1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]])</pre></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'>...</div><input id='attrs-f8e2232f-0ea7-4365-ad87-6b1804a813eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f8e2232f-0ea7-4365-ad87-6b1804a813eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46df6c6a-e3c7-457f-8612-ad5d34053f58' class='xr-var-data-in' type='checkbox'><label for='data-46df6c6a-e3c7-457f-8612-ad5d34053f58' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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><dt><span>_ChunkSizes :</span></dt><dd>[106 241]</dd></dl></div><div class='xr-var-data'><pre>array([[1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]])</pre></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'>...</div><input id='attrs-7b6048a9-f15e-4a1f-99b9-22af6f4e16f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b6048a9-f15e-4a1f-99b9-22af6f4e16f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a998763f-8799-47c5-b4d6-3b7a5b13bb81' class='xr-var-data-in' type='checkbox'><label for='data-a998763f-8799-47c5-b4d6-3b7a5b13bb81' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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><dt><span>_ChunkSizes :</span></dt><dd>[105 242]</dd></dl></div><div class='xr-var-data'><pre>array([[1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]])</pre></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'>...</div><input id='attrs-ee101345-8a9b-4dd4-b0db-2bbc172651be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee101345-8a9b-4dd4-b0db-2bbc172651be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a5943b3-a17d-4ade-9610-ff78b79874cb' class='xr-var-data-in' type='checkbox'><label for='data-3a5943b3-a17d-4ade-9610-ff78b79874cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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><dt><span>_ChunkSizes :</span></dt><dd>[105 241]</dd></dl></div><div class='xr-var-data'><pre>array([[1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zeta</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'>...</div><input id='attrs-2059d244-9b44-41ed-bc5a-8d10957fe79d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2059d244-9b44-41ed-bc5a-8d10957fe79d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5f94d06-1076-417c-91f9-87f098a0f9e3' class='xr-var-data-in' type='checkbox'><label for='data-d5f94d06-1076-417c-91f9-87f098a0f9e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter</dd><dt><span>long_name :</span></dt><dd>time-averaged free-surface</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>[  1 106 242]</dd><dt><span>standard_name :</span></dt><dd>sea_surface_height</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.717298,  0.717298,  0.746451, ..., -0.13087 , -0.158201, -0.158201],\n",
       "       [ 0.717298,  0.717257,  0.74641 , ..., -0.130994, -0.158319, -0.1582  ],\n",
       "       [ 0.736095,  0.736069,  0.7666  , ..., -0.120532, -0.145273, -0.145146],\n",
       "       ...,\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,       nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,       nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,       nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ubar</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'>...</div><input id='attrs-a3d52a04-d1a4-42f4-ba0c-587cd11b9cfb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3d52a04-d1a4-42f4-ba0c-587cd11b9cfb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ddbd845-bfd9-4af0-b765-1f155ffe4f30' class='xr-var-data-in' type='checkbox'><label for='data-3ddbd845-bfd9-4af0-b765-1f155ffe4f30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>long_name :</span></dt><dd>time-averaged vertically integrated u-momentum component</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge1</dd><dt><span>field :</span></dt><dd>ubar-velocity, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 106 241]</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.016298, -0.008697, -0.069549, ...,  0.006836, -0.023278, -0.033336],\n",
       "       [ 0.041292, -0.008697, -0.069551, ...,  0.006832, -0.023283, -0.043393],\n",
       "       [ 0.035829, -0.017521, -0.06473 , ...,  0.002907, -0.021443, -0.046884],\n",
       "       ...,\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,       nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,       nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,       nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vbar</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'>...</div><input id='attrs-3e547f78-d8fc-40e1-86a3-a76754f5b35e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e547f78-d8fc-40e1-86a3-a76754f5b35e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b563f15-c7c6-4c0e-8933-20a3118d4627' class='xr-var-data-in' type='checkbox'><label for='data-7b563f15-c7c6-4c0e-8933-20a3118d4627' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>long_name :</span></dt><dd>time-averaged vertically integrated v-momentum component</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge2</dd><dt><span>field :</span></dt><dd>vbar-velocity, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 105 242]</dd></dl></div><div class='xr-var-data'><pre>array([[-0.251739, -0.27445 , -0.271587, ..., -0.022139,  0.000416,  0.010457],\n",
       "       [-0.229027, -0.229022, -0.213615, ...,  0.007879,  0.020504,  0.020499],\n",
       "       [-0.179743, -0.179738, -0.169331, ...,  0.032226,  0.045977,  0.045973],\n",
       "       ...,\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,       nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,       nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,       nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ubar_eastward</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'>...</div><input id='attrs-594337c0-b530-44d9-916c-df90a6b2e196' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-594337c0-b530-44d9-916c-df90a6b2e196' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d6fc632-4261-4e0f-8b2d-37e7ad3ce046' class='xr-var-data-in' type='checkbox'><label for='data-4d6fc632-4261-4e0f-8b2d-37e7ad3ce046' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>long_name :</span></dt><dd>time-averaged eastward vertically integrated momentum component at RHO-points</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>standard_name :</span></dt><dd>barotropic_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>ubar_eastward, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 106 242]</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,  0.      ],\n",
       "       [ 0.      ,  0.173458,  0.124878, ..., -0.003386, -0.033975,  0.      ],\n",
       "       [ 0.      ,  0.137765,  0.090761, ..., -0.018269, -0.046393,  0.      ],\n",
       "       ...,\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,       nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,       nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,       nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vbar_northward</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'>...</div><input id='attrs-bc037f00-3cd6-410b-83a8-3003b3b211d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc037f00-3cd6-410b-83a8-3003b3b211d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ddebb8a-65c7-4a93-babd-41fccb0f443d' class='xr-var-data-in' type='checkbox'><label for='data-8ddebb8a-65c7-4a93-babd-41fccb0f443d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>long_name :</span></dt><dd>time-averaged northward vertically integrated momentum component at RHO-points</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>standard_name :</span></dt><dd>barotropic_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>vbar_northward, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 106 242]</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,  0.      ],\n",
       "       [ 0.      , -0.183164, -0.21164 , ..., -0.010346, -0.008157,  0.      ],\n",
       "       [ 0.      , -0.151247, -0.173538, ...,  0.01242 ,  0.010943,  0.      ],\n",
       "       ...,\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,       nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,       nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,       nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u</span></div><div class='xr-var-dims'>(s_rho, eta_u, xi_u)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1a6528d7-65e4-4ca2-a6f6-92eff731493b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1a6528d7-65e4-4ca2-a6f6-92eff731493b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce6ce388-9a93-4cfa-8047-8a47cba3abce' class='xr-var-data-in' type='checkbox'><label for='data-ce6ce388-9a93-4cfa-8047-8a47cba3abce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>long_name :</span></dt><dd>time-averaged u-momentum component</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge1</dd><dt><span>field :</span></dt><dd>u-velocity, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1  20  53 121]</dd><dt><span>standard_name :</span></dt><dd>eastward_sea_water_velocity</dd></dl></div><div class='xr-var-data'><pre>[1021840 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v</span></div><div class='xr-var-dims'>(s_rho, eta_v, xi_v)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-23aa748a-5212-4792-9ca5-86981a7a6fa1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23aa748a-5212-4792-9ca5-86981a7a6fa1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e177609-b9a3-4d37-b5c8-425f6b17e81e' class='xr-var-data-in' type='checkbox'><label for='data-5e177609-b9a3-4d37-b5c8-425f6b17e81e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>long_name :</span></dt><dd>time-averaged v-momentum component</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge2</dd><dt><span>field :</span></dt><dd>v-velocity, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1  20  53 121]</dd><dt><span>standard_name :</span></dt><dd>northward_sea_water_velocity</dd></dl></div><div class='xr-var-data'><pre>[1016400 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_eastward</span></div><div class='xr-var-dims'>(s_rho, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-56b61790-3a27-4bd9-8862-87c006caf40e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56b61790-3a27-4bd9-8862-87c006caf40e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2f4d4e3-a5f9-4a11-9a50-1f3ec65f0832' class='xr-var-data-in' type='checkbox'><label for='data-d2f4d4e3-a5f9-4a11-9a50-1f3ec65f0832' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>long_name :</span></dt><dd>time-averaged eastward momentum component at RHO-points</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><dt><span>_ChunkSizes :</span></dt><dd>[  1  20  53 121]</dd></dl></div><div class='xr-var-data'><pre>[1026080 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_northward</span></div><div class='xr-var-dims'>(s_rho, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c8613a5a-f332-4535-a53b-51f4a7d18a14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8613a5a-f332-4535-a53b-51f4a7d18a14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1b5115e-08eb-4b03-bc70-dea6797c3695' class='xr-var-data-in' type='checkbox'><label for='data-a1b5115e-08eb-4b03-bc70-dea6797c3695' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>long_name :</span></dt><dd>time-averaged northward momentum component at RHO-points</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><dt><span>_ChunkSizes :</span></dt><dd>[  1  20  53 121]</dd></dl></div><div class='xr-var-data'><pre>[1026080 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>w</span></div><div class='xr-var-dims'>(s_w, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-27f4e8c2-d1c8-477f-9236-cdfffe380d9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27f4e8c2-d1c8-477f-9236-cdfffe380d9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e7e14c3-b719-413a-b4c6-464ad4cce1b7' class='xr-var-data-in' type='checkbox'><label for='data-3e7e14c3-b719-413a-b4c6-464ad4cce1b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>long_name :</span></dt><dd>time-averaged vertical momentum component</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>standard_name :</span></dt><dd>upward_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>w-velocity, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1  21  53 121]</dd></dl></div><div class='xr-var-data'><pre>[1051732 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp</span></div><div class='xr-var-dims'>(s_rho, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ab723623-8da1-48ad-85e9-77594a713c1c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab723623-8da1-48ad-85e9-77594a713c1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37792417-bc7e-4b14-80e2-2fb7e6337346' class='xr-var-data-in' type='checkbox'><label for='data-37792417-bc7e-4b14-80e2-2fb7e6337346' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Celsius</dd><dt><span>long_name :</span></dt><dd>time-averaged potential temperature</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  20  53 121]</dd><dt><span>standard_name :</span></dt><dd>sea_water_potential_temperature</dd></dl></div><div class='xr-var-data'><pre>[1026080 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt</span></div><div class='xr-var-dims'>(s_rho, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3050ae61-e2cc-4516-9b06-b2caf65d6992' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3050ae61-e2cc-4516-9b06-b2caf65d6992' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a92f2b32-0960-494d-a2c6-1db1572098cd' class='xr-var-data-in' type='checkbox'><label for='data-a92f2b32-0960-494d-a2c6-1db1572098cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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-averaged 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  20  53 121]</dd><dt><span>standard_name :</span></dt><dd>sea_water_salinity</dd></dl></div><div class='xr-var-data'><pre>[1026080 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>shflux</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'>...</div><input id='attrs-0603f53f-e7b2-49d8-9bee-bdb5fe6e2ed8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0603f53f-e7b2-49d8-9bee-bdb5fe6e2ed8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5e6de4b-3c71-4f6a-a74c-cc17e242d828' class='xr-var-data-in' type='checkbox'><label for='data-b5e6de4b-3c71-4f6a-a74c-cc17e242d828' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>watt meter-2</dd><dt><span>long_name :</span></dt><dd>time-averaged surface net heat flux</dd><dt><span>negative_value :</span></dt><dd>upward flux, cooling</dd><dt><span>positive_value :</span></dt><dd>downward flux, heating</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>surface heat flux, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 106 242]</dd></dl></div><div class='xr-var-data'><pre>array([[188.447177, 185.025169, 140.888322, ..., 273.164978, 266.446598,\n",
       "        260.231327],\n",
       "       [197.437954, 240.074313, 111.883605, ..., 264.603411, 266.887426,\n",
       "        259.81307 ],\n",
       "       [214.194251, 215.794555, 119.587633, ..., 250.792374, 252.302462,\n",
       "        248.587386],\n",
       "       ...,\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan],\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan],\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssflux</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'>...</div><input id='attrs-537938cf-d21d-4ca5-835c-9cd6eab66e14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-537938cf-d21d-4ca5-835c-9cd6eab66e14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3457103c-7799-4dd9-a5a8-88c8fe1e410e' class='xr-var-data-in' type='checkbox'><label for='data-3457103c-7799-4dd9-a5a8-88c8fe1e410e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>long_name :</span></dt><dd>time-averaged surface net salt flux, (E-P)*SALT</dd><dt><span>negative_value :</span></dt><dd>upward flux, freshening (net precipitation)</dd><dt><span>positive_value :</span></dt><dd>downward flux, salting (net evaporation)</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>surface net salt flux, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 106 242]</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.690483e-06,  1.752649e-06,  2.027999e-06, ..., -2.849088e-08,\n",
       "        -2.096956e-08, -1.441276e-08],\n",
       "       [ 1.595846e-06,  1.979557e-06,  2.051883e-06, ..., -4.503420e-08,\n",
       "        -4.273771e-08, -1.717062e-08],\n",
       "       [ 1.941290e-06,  2.090415e-06,  1.878134e-06, ..., -3.666229e-08,\n",
       "        -3.012083e-08, -1.545010e-08],\n",
       "       ...,\n",
       "       [          nan,           nan,           nan, ...,           nan,\n",
       "                  nan,           nan],\n",
       "       [          nan,           nan,           nan, ...,           nan,\n",
       "                  nan,           nan],\n",
       "       [          nan,           nan,           nan, ...,           nan,\n",
       "                  nan,           nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swrad_daily</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'>...</div><input id='attrs-cb567bd0-c77a-4b30-815c-db011cf584b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb567bd0-c77a-4b30-815c-db011cf584b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea8a0b24-5bd1-4e57-8908-0596eaa0288a' class='xr-var-data-in' type='checkbox'><label for='data-ea8a0b24-5bd1-4e57-8908-0596eaa0288a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>watt meter-2</dd><dt><span>long_name :</span></dt><dd>time-averaged solar shortwave radiation flux</dd><dt><span>negative_value :</span></dt><dd>upward flux, cooling</dd><dt><span>positive_value :</span></dt><dd>downward flux, heating</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>shortwave radiation, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 106 242]</dd></dl></div><div class='xr-var-data'><pre>array([[238.622263, 236.632687, 229.591079, ..., 103.25783 , 105.918118,\n",
       "        107.408094],\n",
       "       [246.899316, 244.371624, 238.431351, ..., 100.639685, 104.736658,\n",
       "        105.81723 ],\n",
       "       [247.618129, 249.814693, 244.817451, ..., 101.469062, 103.906028,\n",
       "        103.467252],\n",
       "       ...,\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan],\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan],\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sustr</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'>...</div><input id='attrs-d0e0b0f9-daa0-47be-841f-dd8d6de53cc5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0e0b0f9-daa0-47be-841f-dd8d6de53cc5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73afca50-460a-44ce-805f-79c7e171dab2' class='xr-var-data-in' type='checkbox'><label for='data-73afca50-460a-44ce-805f-79c7e171dab2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>newton meter-2</dd><dt><span>long_name :</span></dt><dd>time-averaged surface u-momentum stress</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge1</dd><dt><span>field :</span></dt><dd>surface u-momentum stress, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 106 241]</dd></dl></div><div class='xr-var-data'><pre>array([[0.066756, 0.072638, 0.076574, ..., 0.040068, 0.037916, 0.035955],\n",
       "       [0.066594, 0.074796, 0.080756, ..., 0.042061, 0.039309, 0.036131],\n",
       "       [0.069057, 0.077368, 0.080119, ..., 0.0404  , 0.03759 , 0.035085],\n",
       "       ...,\n",
       "       [     nan,      nan,      nan, ...,      nan,      nan,      nan],\n",
       "       [     nan,      nan,      nan, ...,      nan,      nan,      nan],\n",
       "       [     nan,      nan,      nan, ...,      nan,      nan,      nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>svstr</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'>...</div><input id='attrs-5647cce6-5f3e-4676-8d11-e9fdb594f538' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5647cce6-5f3e-4676-8d11-e9fdb594f538' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6adf6cb9-aee5-4c24-b380-14e5fea18de2' class='xr-var-data-in' type='checkbox'><label for='data-6adf6cb9-aee5-4c24-b380-14e5fea18de2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>newton meter-2</dd><dt><span>long_name :</span></dt><dd>time-averaged surface v-momentum stress</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge2</dd><dt><span>field :</span></dt><dd>surface v-momentum stress, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 105 242]</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.000519, -0.001864, -0.001063, ..., -0.002338, -0.002401, -0.001721],\n",
       "       [ 0.000169, -0.004115, -0.002586, ..., -0.001619, -0.001785, -0.001152],\n",
       "       [-0.001722, -0.005926, -0.00367 , ..., -0.001798, -0.001861, -0.001276],\n",
       "       ...,\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,       nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,       nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,       nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_offset</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-e6f76c1e-e657-46d2-8fbc-93de546ac441' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6f76c1e-e657-46d2-8fbc-93de546ac441' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a131200-0a74-4ec5-a3e4-bdf149602050' class='xr-var-data-in' type='checkbox'><label for='data-7a131200-0a74-4ec5-a3e4-bdf149602050' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>offset hour from start of run for coordinate = time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2017-11-02T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3ee11c2d-d75f-4904-9082-9ed494419580' class='xr-section-summary-in' type='checkbox'  ><label for='section-3ee11c2d-d75f-4904-9082-9ed494419580' class='xr-section-summary' >Attributes: <span>(46)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>file :</span></dt><dd>doppio_avg_5529_0001.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 nonlinear model averages file</dd><dt><span>title :</span></dt><dd>ROMS doppio Real-Time Operational PSAS Forecast System Version 1 FMRC Averages</dd><dt><span>var_info :</span></dt><dd>../Data/varinfo1040t_daily.dat</dd><dt><span>rst_file :</span></dt><dd>doppio_rst_5529.nc</dd><dt><span>his_base :</span></dt><dd>doppio_his_5529</dd><dt><span>avg_base :</span></dt><dd>doppio_avg_5529</dd><dt><span>flt_file :</span></dt><dd>doppio_flt_5529.nc</dd><dt><span>grd_file :</span></dt><dd>/home/om/roms/doppio/7km/grid_doppio_JJA_v12.nc</dd><dt><span>ini_file :</span></dt><dd>doppio_ini_5529.nc</dd><dt><span>tide_file :</span></dt><dd>/home/om/roms/doppio/7km/doppio_tide_7km.nc</dd><dt><span>frc_file_01 :</span></dt><dd>../PSAS/doppio_flx_5529_outer2.nc</dd><dt><span>clm_file_01 :</span></dt><dd>../Data/doppio_clm.nc</dd><dt><span>nud_file :</span></dt><dd>/home/om/roms/doppio/7km/doppio_nudgcoef_7km_1500-2000_GS.nc</dd><dt><span>script_file :</span></dt><dd>nl_ocean_doppio.in</dd><dt><span>fpos_file :</span></dt><dd>floats.in</dd><dt><span>NLM_TADV :</span></dt><dd>\n",
       "ADVECTION:   HORIZONTAL   VERTICAL     \n",
       "temp:        Akima4       Akima4       \n",
       "salt:        Akima4       Akima4</dd><dt><span>NLM_LBC :</span></dt><dd>\n",
       "EDGE:  WEST   SOUTH  EAST   NORTH  \n",
       "zeta:  Cha    Cha    Cha    Clo    \n",
       "ubar:  Fla    Fla    Fla    Clo    \n",
       "vbar:  Fla    Fla    Fla    Clo    \n",
       "u:     RadNud RadNud RadNud Clo    \n",
       "v:     RadNud RadNud RadNud Clo    \n",
       "temp:  Rad    Rad    Rad    Clo    \n",
       "salt:  Rad    Rad    Rad    Clo    \n",
       "tke:   Gra    Gra    Gra    Clo</dd><dt><span>svn_url :</span></dt><dd>https://www.myroms.org/svn/src/trunk</dd><dt><span>svn_rev :</span></dt><dd>1040</dd><dt><span>code_dir :</span></dt><dd>/home/julia/ROMS/doppio/svn1040t</dd><dt><span>header_dir :</span></dt><dd>/home/julia/ROMS/doppio/Compile/fwd</dd><dt><span>header_file :</span></dt><dd>doppio.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>ifort</dd><dt><span>compiler_command :</span></dt><dd>/opt/sw/apps/intel-18.0.1/openmpi/3.1.2/bin/mpif90</dd><dt><span>compiler_flags :</span></dt><dd>-fp-model precise -heap-arrays -ip -O3 -traceback -check uninit</dd><dt><span>tiling :</span></dt><dd>004x004</dd><dt><span>history :</span></dt><dd>ROMS/TOMS, Version 3.9, Tuesday - February 23, 2021 -  4:28:17 AM ;\n",
       "FMRC Best Dataset</dd><dt><span>ana_file :</span></dt><dd>ROMS/Functionals/ana_btflux.h</dd><dt><span>CPP_options :</span></dt><dd>DOPPIO, ADD_FSOBC, ADD_M2OBC, ANA_BSFLUX, ANA_BTFLUX, ASSUMED_SHAPE, ATM_PRESS, AVERAGES, !BOUNDARY_A !COLLECT_ALL..., CHARNOK, CRAIG_BANNER, CURVGRID, DEFLATE, DJ_GRADPS, DOUBLE_PRECISION, FLOATS, FORWARD_WRITE, GLS_MIXING, HDF5, KANTHA_CLAYSON, MASKING, MIX_GEO_TS, MIX_S_UV, MPI, NONLINEAR, NONLIN_EOS, NO_LBC_ATT, N2S2_HORAVG, OUT_DOUBLE, POWER_LAW, PROFILE, K_GSCHEME, REDUCE_ALLREDUCE, !RST_SINGLE, SALINITY, SOLAR_SOURCE, SOLVE3D, SSH_TIDES, TS_DIF2, UV_ADV, UV_COR, UV_U3HADVECTION, UV_C4VADVECTION, UV_QDRAG, UV_TIDES, UV_VIS2, VAR_RHO_2D, WIND_MINUS_CURRENT</dd><dt><span>_CoordSysBuilder :</span></dt><dd>ucar.nc2.dataset.conv.CF1Convention</dd><dt><span>frc_file_02 :</span></dt><dd>../Data/Pair_ncepnam_3hourly_MAB_and_GoM.nc</dd><dt><span>frc_file_03 :</span></dt><dd>../Data/Qair_ncepnam_3hourly_MAB_and_GoM.nc</dd><dt><span>frc_file_04 :</span></dt><dd>../Data/rain_ncepnam_3hourly_MAB_and_GoM.nc</dd><dt><span>frc_file_05 :</span></dt><dd>../Data/swrad_daily_ncepnam_3hourly_MAB_and_GoM.nc</dd><dt><span>frc_file_06 :</span></dt><dd>../Data/Tair_ncepnam_3hourly_MAB_and_GoM.nc</dd><dt><span>frc_file_07 :</span></dt><dd>../Data/Winds_ncepnam_3hourly_MAB_and_GoM.nc</dd><dt><span>cdm_data_type :</span></dt><dd>GRID</dd><dt><span>featureType :</span></dt><dd>GRID</dd><dt><span>location :</span></dt><dd>Proto fmrc:doppio_2017_da_avg</dd><dt><span>summary :</span></dt><dd>doppio</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:         (boundary: 4, eta_psi: 105, eta_rho: 106, eta_u: 106, eta_v: 105, s_rho: 40, s_w: 41, tracer: 2, xi_psi: 241, xi_rho: 242, xi_u: 241, xi_v: 242)\n",
       "Coordinates: (12/13)\n",
       "  * s_rho           (s_rho) float64 -0.9875 -0.9625 -0.9375 ... -0.0375 -0.0125\n",
       "  * s_w             (s_w) float64 -1.0 -0.975 -0.95 -0.925 ... -0.05 -0.025 0.0\n",
       "    lon_rho         (eta_rho, xi_rho) float64 ...\n",
       "    lat_rho         (eta_rho, xi_rho) float64 ...\n",
       "    lon_u           (eta_u, xi_u) float64 ...\n",
       "    lat_u           (eta_u, xi_u) float64 ...\n",
       "    ...              ...\n",
       "    lat_v           (eta_v, xi_v) float64 ...\n",
       "    lon_psi         (eta_psi, xi_psi) float64 ...\n",
       "    lat_psi         (eta_psi, xi_psi) float64 ...\n",
       "    ocean_time      datetime64[ns] 2021-02-20T12:00:00\n",
       "    time            datetime64[ns] 2019-07-21T12:00:00\n",
       "    time_run        datetime64[ns] ...\n",
       "Dimensions without coordinates: boundary, eta_psi, eta_rho, eta_u, eta_v, tracer, xi_psi, xi_rho, xi_u, xi_v\n",
       "Data variables: (12/108)\n",
       "    ntimes          int32 ...\n",
       "    ndtfast         int32 ...\n",
       "    dt              float64 ...\n",
       "    dtfast          float64 ...\n",
       "    dstart          datetime64[ns] ...\n",
       "    shuffle         int32 ...\n",
       "    ...              ...\n",
       "    shflux          (eta_rho, xi_rho) float64 ...\n",
       "    ssflux          (eta_rho, xi_rho) float64 ...\n",
       "    swrad_daily     (eta_rho, xi_rho) float64 ...\n",
       "    sustr           (eta_u, xi_u) float64 ...\n",
       "    svstr           (eta_v, xi_v) float64 ...\n",
       "    time_offset     datetime64[ns] ...\n",
       "Attributes: (12/46)\n",
       "    file:                            doppio_avg_5529_0001.nc\n",
       "    format:                          netCDF-4/HDF5 file\n",
       "    Conventions:                     CF-1.4, SGRID-0.3\n",
       "    type:                            ROMS/TOMS nonlinear model averages file\n",
       "    title:                           ROMS doppio Real-Time Operational PSAS F...\n",
       "    var_info:                        ../Data/varinfo1040t_daily.dat\n",
       "    ...                              ...\n",
       "    frc_file_07:                     ../Data/Winds_ncepnam_3hourly_MAB_and_Go...\n",
       "    cdm_data_type:                   GRID\n",
       "    featureType:                     GRID\n",
       "    location:                        Proto fmrc:doppio_2017_da_avg\n",
       "    summary:                         doppio\n",
       "    DODS_EXTRA.Unlimited_Dimension:  ocean_time"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url = 'http://tds.marine.rutgers.edu/thredds/dodsC/roms/doppio/2017_da/avg/Averages_Best'\n",
    "\n",
    "ds = xr.open_dataset(url).sel(time = '2019-07-21', method = 'nearest').squeeze()\n",
    "\n",
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# first, get a depth grid from s_rho:\n",
    "following xarray example: http://xarray.pydata.org/en/scipy19-docs/examples/ROMS_ocean_model.html\n",
    "\n",
    "If we want to plot anything vs depth we need to convert from `s_rho` to depth\n",
    "\n",
    "$Z_0 = (h_c \\, S + h \\,C) / (h_c + h)$\n",
    "\n",
    "$z = Z_0 (\\zeta + h) + \\zeta$\n",
    "\n",
    "\n",
    "This transformation takes a while. Probably need to subset the data first so you don't do it on everything."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;salt&#x27; (s_rho: 40, eta_rho: 106, xi_rho: 242)&gt;\n",
       "[1026080 values with dtype=float64]\n",
       "Coordinates:\n",
       "  * s_rho       (s_rho) float64 -0.9875 -0.9625 -0.9375 ... -0.0375 -0.0125\n",
       "    lon_rho     (xi_rho, eta_rho) float64 -75.19 -75.24 -75.29 ... -64.49 -64.54\n",
       "    lat_rho     (xi_rho, eta_rho) float64 32.24 32.29 32.34 ... 46.56 46.61\n",
       "    ocean_time  datetime64[ns] 2021-02-20T12:00:00\n",
       "    time        datetime64[ns] 2019-07-21T12:00:00\n",
       "    time_run    datetime64[ns] 2019-07-20T12:00:00\n",
       "    z_rho       (s_rho, xi_rho, eta_rho) float64 -3.838e+03 -3.788e+03 ... nan\n",
       "Dimensions without coordinates: eta_rho, xi_rho\n",
       "Attributes:\n",
       "    long_name:      time-averaged salinity\n",
       "    time:           ocean_time\n",
       "    grid:           grid\n",
       "    location:       face\n",
       "    field:          salinity, scalar, series\n",
       "    _ChunkSizes:    [  1  20  53 121]\n",
       "    standard_name:  sea_water_salinity</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'salt'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>s_rho</span>: 40</li><li><span>eta_rho</span>: 106</li><li><span>xi_rho</span>: 242</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0795d76d-2a65-4b56-8db5-57027df899ed' class='xr-array-in' type='checkbox' checked><label for='section-0795d76d-2a65-4b56-8db5-57027df899ed' 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>...</span></div><div class='xr-array-data'><pre>[1026080 values with dtype=float64]</pre></div></div></li><li class='xr-section-item'><input id='section-0adf1bd3-6a62-419d-887f-fb2b23ff777f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0adf1bd3-6a62-419d-887f-fb2b23ff777f' 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'>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'>-0.9875 -0.9625 ... -0.0375 -0.0125</div><input id='attrs-ae50244a-cf68-4748-8050-f2246683c6b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae50244a-cf68-4748-8050-f2246683c6b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-774c5e7f-19e4-4c73-9c3b-971433e751fe' class='xr-var-data-in' type='checkbox'><label for='data-774c5e7f-19e4-4c73-9c3b-971433e751fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><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_g2</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>_CoordinateTransformType :</span></dt><dd>Vertical</dd><dt><span>_CoordinateAxisType :</span></dt><dd>GeoZ</dd><dt><span>_CoordinateZisPositive :</span></dt><dd>up</dd><dt><span>_CoordinateAxes :</span></dt><dd>s_rho</dd></dl></div><div class='xr-var-data'><pre>array([-0.9875, -0.9625, -0.9375, -0.9125, -0.8875, -0.8625, -0.8375, -0.8125,\n",
       "       -0.7875, -0.7625, -0.7375, -0.7125, -0.6875, -0.6625, -0.6375, -0.6125,\n",
       "       -0.5875, -0.5625, -0.5375, -0.5125, -0.4875, -0.4625, -0.4375, -0.4125,\n",
       "       -0.3875, -0.3625, -0.3375, -0.3125, -0.2875, -0.2625, -0.2375, -0.2125,\n",
       "       -0.1875, -0.1625, -0.1375, -0.1125, -0.0875, -0.0625, -0.0375, -0.0125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_rho</span></div><div class='xr-var-dims'>(xi_rho, eta_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-75.19 -75.24 ... -64.49 -64.54</div><input id='attrs-f5c453f9-c7ae-4272-b46b-a9d6c8b200bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5c453f9-c7ae-4272-b46b-a9d6c8b200bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b590bf5-980a-4673-bbc0-e7fcb80a9377' class='xr-var-data-in' type='checkbox'><label for='data-4b590bf5-980a-4673-bbc0-e7fcb80a9377' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude of RHO-points</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>field :</span></dt><dd>lon_rho, scalar</dd><dt><span>_ChunkSizes :</span></dt><dd>[106 242]</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>array([[-75.19030604, -75.23806115, -75.28587123, ..., -80.41100647,\n",
       "        -80.46481693, -80.51869017],\n",
       "       [-75.13296207, -75.18070718, -75.22850731, ..., -80.35288493,\n",
       "        -80.40669071, -80.46055932],\n",
       "       [-75.07556286, -75.1232979 , -75.171088  , ..., -80.29470029,\n",
       "        -80.3485013 , -80.40236521],\n",
       "       ...,\n",
       "       [-59.83333135, -59.87619671, -59.91912361, ..., -64.59351523,\n",
       "        -64.64337748, -64.69331463],\n",
       "       [-59.76183811, -59.80467068, -59.8475648 , ..., -64.51871104,\n",
       "        -64.56854218, -64.61844826],\n",
       "       [-59.69028308, -59.73308275, -59.77594397, ..., -64.44383164,\n",
       "        -64.49363154, -64.5435064 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_rho</span></div><div class='xr-var-dims'>(xi_rho, eta_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>32.24 32.29 32.34 ... 46.56 46.61</div><input id='attrs-cd0521fc-36f1-4635-a7c3-8c8d8626653b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd0521fc-36f1-4635-a7c3-8c8d8626653b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1935d9e3-b3b0-4a87-8e2e-b3feccb8f280' class='xr-var-data-in' type='checkbox'><label for='data-1935d9e3-b3b0-4a87-8e2e-b3feccb8f280' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude of RHO-points</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>field :</span></dt><dd>lat_rho, scalar</dd><dt><span>_ChunkSizes :</span></dt><dd>[106 242]</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>array([[32.23944076, 32.28777785, 32.33609756, ..., 37.11460385,\n",
       "        37.16078636, 37.20694435],\n",
       "       [32.27990862, 32.32827071, 32.37661542, ..., 37.15759363,\n",
       "        37.20380003, 37.24998188],\n",
       "       [32.3203499 , 32.368737  , 32.41710669, ..., 37.20055518,\n",
       "        37.24678544, 37.29299115],\n",
       "       ...,\n",
       "       [41.01756876, 41.07132911, 41.12507013, ..., 46.43977035,\n",
       "        46.49113736, 46.54247718],\n",
       "       [41.049957  , 41.10373736, 41.15749838, ..., 46.47417898,\n",
       "        46.52556517, 46.57692416],\n",
       "       [41.08230448, 41.13610483, 41.18988582, ..., 46.50854434,\n",
       "        46.55994968, 46.61132782]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-02-20T12:00:00</div><input id='attrs-bbffe6a1-7f98-4ffa-94c6-6534e93c254c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbffe6a1-7f98-4ffa-94c6-6534e93c254c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e6bd232-9533-4d88-bec9-2346e3ca95a3' class='xr-var-data-in' type='checkbox'><label for='data-4e6bd232-9533-4d88-bec9-2346e3ca95a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>averaged time since initialization</dd><dt><span>field :</span></dt><dd>time, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>512</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-02-20T12:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2019-07-21T12:00:00</div><input id='attrs-53567a45-4063-43f3-8961-b876b8f0cd83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53567a45-4063-43f3-8961-b876b8f0cd83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfb648cf-8080-48ba-9ec5-d3f6246894e8' class='xr-var-data-in' type='checkbox'><label for='data-dfb648cf-8080-48ba-9ec5-d3f6246894e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Forecast time for ForecastModelRunCollection</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2019-07-21T12:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_run</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2019-07-20T12:00:00</div><input id='attrs-cdd4ec5c-d4b4-430f-9443-ec2dcb57d886' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cdd4ec5c-d4b4-430f-9443-ec2dcb57d886' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5891e96e-f747-47a5-9257-c49736e9ce82' class='xr-var-data-in' type='checkbox'><label for='data-5891e96e-f747-47a5-9257-c49736e9ce82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>run times for coordinate = time</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd><dt><span>_CoordinateAxisType :</span></dt><dd>RunTime</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2019-07-20T12:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_rho</span></div><div class='xr-var-dims'>(s_rho, xi_rho, eta_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-3.838e+03 -3.788e+03 ... nan nan</div><input id='attrs-969e6aac-59e1-46f5-b626-3d10910c609c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-969e6aac-59e1-46f5-b626-3d10910c609c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95f3ba1b-1075-48ff-9df9-397ef3c13040' class='xr-var-data-in' type='checkbox'><label for='data-95f3ba1b-1075-48ff-9df9-397ef3c13040' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[-3.83846280e+03, -3.78791472e+03, -3.72146180e+03, ...,\n",
       "                     nan,             nan,             nan],\n",
       "        [-3.93529561e+03, -3.87890350e+03, -3.80894226e+03, ...,\n",
       "                     nan,             nan,             nan],\n",
       "        [-4.03062310e+03, -3.97816884e+03, -3.91357059e+03, ...,\n",
       "                     nan,             nan,             nan],\n",
       "        ...,\n",
       "        [-4.76902496e+03, -4.75697975e+03, -4.74430304e+03, ...,\n",
       "                     nan,             nan,             nan],\n",
       "        [-4.76932254e+03, -4.75566947e+03, -4.74202299e+03, ...,\n",
       "                     nan,             nan,             nan],\n",
       "        [-4.77127438e+03, -4.75627591e+03, -4.74165473e+03, ...,\n",
       "                     nan,             nan,             nan]],\n",
       "\n",
       "       [[-3.59697253e+03, -3.54971895e+03, -3.48759566e+03, ...,\n",
       "                     nan,             nan,             nan],\n",
       "        [-3.68749370e+03, -3.63477735e+03, -3.56937484e+03, ...,\n",
       "                     nan,             nan,             nan],\n",
       "        [-3.77660523e+03, -3.72757038e+03, -3.66718168e+03, ...,\n",
       "                     nan,             nan,             nan],\n",
       "...\n",
       "        [-9.73449942e+00, -9.73171525e+00, -9.71820825e+00, ...,\n",
       "                     nan,             nan,             nan],\n",
       "        [-9.76184837e+00, -9.75867007e+00, -9.74234833e+00, ...,\n",
       "                     nan,             nan,             nan],\n",
       "        [-9.76231893e+00, -9.75869809e+00, -9.74213157e+00, ...,\n",
       "                     nan,             nan,             nan]],\n",
       "\n",
       "       [[-2.28223015e+00, -2.27906141e+00, -2.25602298e+00, ...,\n",
       "                     nan,             nan,             nan],\n",
       "        [-2.28814299e+00, -2.28476436e+00, -2.26162944e+00, ...,\n",
       "                     nan,             nan,             nan],\n",
       "        [-2.26464131e+00, -2.26160637e+00, -2.23756872e+00, ...,\n",
       "                     nan,             nan,             nan],\n",
       "        ...,\n",
       "        [-3.17981389e+00, -3.17937209e+00, -3.16831978e+00, ...,\n",
       "                     nan,             nan,             nan],\n",
       "        [-3.20714169e+00, -3.20661865e+00, -3.19293767e+00, ...,\n",
       "                     nan,             nan,             nan],\n",
       "        [-3.20723305e+00, -3.20652848e+00, -3.19279253e+00, ...,\n",
       "                     nan,             nan,             nan]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d50bf7f0-c8f4-41dc-9013-158f14351bd5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d50bf7f0-c8f4-41dc-9013-158f14351bd5' class='xr-section-summary' >Attributes: <span>(7)</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-averaged 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  20  53 121]</dd><dt><span>standard_name :</span></dt><dd>sea_water_salinity</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'salt' (s_rho: 40, eta_rho: 106, xi_rho: 242)>\n",
       "[1026080 values with dtype=float64]\n",
       "Coordinates:\n",
       "  * s_rho       (s_rho) float64 -0.9875 -0.9625 -0.9375 ... -0.0375 -0.0125\n",
       "    lon_rho     (xi_rho, eta_rho) float64 -75.19 -75.24 -75.29 ... -64.49 -64.54\n",
       "    lat_rho     (xi_rho, eta_rho) float64 32.24 32.29 32.34 ... 46.56 46.61\n",
       "    ocean_time  datetime64[ns] 2021-02-20T12:00:00\n",
       "    time        datetime64[ns] 2019-07-21T12:00:00\n",
       "    time_run    datetime64[ns] 2019-07-20T12:00:00\n",
       "    z_rho       (s_rho, xi_rho, eta_rho) float64 -3.838e+03 -3.788e+03 ... nan\n",
       "Dimensions without coordinates: eta_rho, xi_rho\n",
       "Attributes:\n",
       "    long_name:      time-averaged salinity\n",
       "    time:           ocean_time\n",
       "    grid:           grid\n",
       "    location:       face\n",
       "    field:          salinity, scalar, series\n",
       "    _ChunkSizes:    [  1  20  53 121]\n",
       "    standard_name:  sea_water_salinity"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "if ds.Vtransform == 1:\n",
    "    Zo_rho = ds.hc * (ds.s_rho - ds.Cs_r) + ds.Cs_r * ds.h\n",
    "    z_rho = Zo_rho + ds.zeta * (1 + Zo_rho/ds.h)\n",
    "elif ds.Vtransform == 2:\n",
    "    Zo_rho = (ds.hc * ds.s_rho + ds.Cs_r * ds.h) / (ds.hc + ds.h)\n",
    "    z_rho = ds.zeta + (ds.zeta + ds.h) * Zo_rho\n",
    "\n",
    "ds.coords['z_rho'] = z_rho.transpose()   \n",
    "ds.salt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f9e99b97470>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# just want to look at the grid in its _rho coords\n",
    "plt.figure()\n",
    "ds.salt.sel(s_rho=0, method='nearest').plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# plot a vertical slice"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1080x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "section = ds.isel(xi_rho=100, eta_rho=slice(0, 85)) # can't go into the nan coords (ie on land) and have the plot work...\n",
    "\n",
    "pres = sw.pres(section.z_rho, section.lat_rho)\n",
    "\n",
    "rho = sw.pden(section.salt, section.temp, pres)\n",
    "\n",
    "LON = np.tile(section.lon_rho,(section.z_rho.shape[0],1))\n",
    "\n",
    "\n",
    "\n",
    "section.temp.plot(x='lon_rho', y='z_rho', figsize=(15, 6))\n",
    "plt.gca().set_facecolor('gray')\n",
    "\n",
    "\n",
    "section.v_northward.plot(x='lon_rho', y='z_rho', figsize=(15, 6))\n",
    "plt.contour(LON, section.z_rho, rho, 20, colors='k', alpha=0.5)\n",
    "plt.gca().set_facecolor('gray')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# what about the horizontal grid?\n",
    "\n",
    "Following the nice discussion between Veronica Ruiz Xomchuk, Ryan Abernathey, & Julius Busecke here: https://github.com/xgcm/xgcm/issues/108. Thanks!\n",
    "\n",
    "we need to remove redundant dims and use xgcm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
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       "  padding-right: 10px;\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "}\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.DataArray &#x27;pm&#x27; (eta_rho: 106, xi_rho: 242)&gt;\n",
       "array([[0.000142, 0.000142, 0.000142, ..., 0.000143, 0.000143, 0.000143],\n",
       "       [0.000142, 0.000142, 0.000142, ..., 0.000143, 0.000143, 0.000143],\n",
       "       [0.000142, 0.000142, 0.000142, ..., 0.000143, 0.000143, 0.000143],\n",
       "       ...,\n",
       "       [0.000142, 0.000142, 0.000142, ..., 0.000145, 0.000145, 0.000145],\n",
       "       [0.000142, 0.000142, 0.000142, ..., 0.000145, 0.000145, 0.000145],\n",
       "       [0.000142, 0.000142, 0.000142, ..., 0.000145, 0.000145, 0.000145]])\n",
       "Coordinates:\n",
       "    lon_rho     (xi_rho, eta_rho) float64 -75.19 -75.24 -75.29 ... -64.49 -64.54\n",
       "    lat_rho     (xi_rho, eta_rho) float64 32.24 32.29 32.34 ... 46.56 46.61\n",
       "    ocean_time  datetime64[ns] 2021-02-20T12:00:00\n",
       "    time        datetime64[ns] 2019-07-21T12:00:00\n",
       "    time_run    datetime64[ns] 2019-07-20T12:00:00\n",
       "Dimensions without coordinates: eta_rho, xi_rho\n",
       "Attributes:\n",
       "    units:        meter-1\n",
       "    long_name:    curvilinear coordinate metric in XI\n",
       "    grid:         grid\n",
       "    location:     face\n",
       "    field:        pm, scalar\n",
       "    _ChunkSizes:  [106 242]</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'pm'</div><ul class='xr-dim-list'><li><span>eta_rho</span>: 106</li><li><span>xi_rho</span>: 242</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0c7ab198-f229-449f-8767-09b19dba967b' class='xr-array-in' type='checkbox' checked><label for='section-0c7ab198-f229-449f-8767-09b19dba967b' 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>0.0001424 0.0001424 0.0001424 ... 0.0001452 0.0001452 0.0001452</span></div><div class='xr-array-data'><pre>array([[0.000142, 0.000142, 0.000142, ..., 0.000143, 0.000143, 0.000143],\n",
       "       [0.000142, 0.000142, 0.000142, ..., 0.000143, 0.000143, 0.000143],\n",
       "       [0.000142, 0.000142, 0.000142, ..., 0.000143, 0.000143, 0.000143],\n",
       "       ...,\n",
       "       [0.000142, 0.000142, 0.000142, ..., 0.000145, 0.000145, 0.000145],\n",
       "       [0.000142, 0.000142, 0.000142, ..., 0.000145, 0.000145, 0.000145],\n",
       "       [0.000142, 0.000142, 0.000142, ..., 0.000145, 0.000145, 0.000145]])</pre></div></div></li><li class='xr-section-item'><input id='section-eee10e98-e86a-44cc-9ac1-6b78f8767fb7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-eee10e98-e86a-44cc-9ac1-6b78f8767fb7' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon_rho</span></div><div class='xr-var-dims'>(xi_rho, eta_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-75.19 -75.24 ... -64.49 -64.54</div><input id='attrs-319aa6cf-bf03-416e-87d9-66fe932b74c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-319aa6cf-bf03-416e-87d9-66fe932b74c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da827f84-c880-4c20-87fd-32cd200901f5' class='xr-var-data-in' type='checkbox'><label for='data-da827f84-c880-4c20-87fd-32cd200901f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude of RHO-points</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>field :</span></dt><dd>lon_rho, scalar</dd><dt><span>_ChunkSizes :</span></dt><dd>[106 242]</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>array([[-75.19030604, -75.23806115, -75.28587123, ..., -80.41100647,\n",
       "        -80.46481693, -80.51869017],\n",
       "       [-75.13296207, -75.18070718, -75.22850731, ..., -80.35288493,\n",
       "        -80.40669071, -80.46055932],\n",
       "       [-75.07556286, -75.1232979 , -75.171088  , ..., -80.29470029,\n",
       "        -80.3485013 , -80.40236521],\n",
       "       ...,\n",
       "       [-59.83333135, -59.87619671, -59.91912361, ..., -64.59351523,\n",
       "        -64.64337748, -64.69331463],\n",
       "       [-59.76183811, -59.80467068, -59.8475648 , ..., -64.51871104,\n",
       "        -64.56854218, -64.61844826],\n",
       "       [-59.69028308, -59.73308275, -59.77594397, ..., -64.44383164,\n",
       "        -64.49363154, -64.5435064 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_rho</span></div><div class='xr-var-dims'>(xi_rho, eta_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>32.24 32.29 32.34 ... 46.56 46.61</div><input id='attrs-65338f69-0c47-456b-bcad-8f5911926422' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65338f69-0c47-456b-bcad-8f5911926422' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c36dbb13-317e-4478-afe4-871303b7facc' class='xr-var-data-in' type='checkbox'><label for='data-c36dbb13-317e-4478-afe4-871303b7facc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude of RHO-points</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>field :</span></dt><dd>lat_rho, scalar</dd><dt><span>_ChunkSizes :</span></dt><dd>[106 242]</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>array([[32.23944076, 32.28777785, 32.33609756, ..., 37.11460385,\n",
       "        37.16078636, 37.20694435],\n",
       "       [32.27990862, 32.32827071, 32.37661542, ..., 37.15759363,\n",
       "        37.20380003, 37.24998188],\n",
       "       [32.3203499 , 32.368737  , 32.41710669, ..., 37.20055518,\n",
       "        37.24678544, 37.29299115],\n",
       "       ...,\n",
       "       [41.01756876, 41.07132911, 41.12507013, ..., 46.43977035,\n",
       "        46.49113736, 46.54247718],\n",
       "       [41.049957  , 41.10373736, 41.15749838, ..., 46.47417898,\n",
       "        46.52556517, 46.57692416],\n",
       "       [41.08230448, 41.13610483, 41.18988582, ..., 46.50854434,\n",
       "        46.55994968, 46.61132782]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-02-20T12:00:00</div><input id='attrs-ed558238-6e07-4899-a03f-343b2373c66d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed558238-6e07-4899-a03f-343b2373c66d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61fea277-2bdd-4b15-b55f-5a039876763a' class='xr-var-data-in' type='checkbox'><label for='data-61fea277-2bdd-4b15-b55f-5a039876763a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>averaged time since initialization</dd><dt><span>field :</span></dt><dd>time, scalar, series</dd><dt><span>_ChunkSizes :</span></dt><dd>512</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-02-20T12:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2019-07-21T12:00:00</div><input id='attrs-b29f76bd-6d0e-404e-9af6-a5dde89110b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b29f76bd-6d0e-404e-9af6-a5dde89110b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1abf844-adf8-4938-8a25-329f38d25868' class='xr-var-data-in' type='checkbox'><label for='data-a1abf844-adf8-4938-8a25-329f38d25868' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Forecast time for ForecastModelRunCollection</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2019-07-21T12:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_run</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2019-07-20T12:00:00</div><input id='attrs-f75f6d60-46da-4472-98df-1785b17883bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f75f6d60-46da-4472-98df-1785b17883bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd03696e-f37c-4451-964f-f8a4f8c3ee1f' class='xr-var-data-in' type='checkbox'><label for='data-dd03696e-f37c-4451-964f-f8a4f8c3ee1f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>run times for coordinate = time</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd><dt><span>_CoordinateAxisType :</span></dt><dd>RunTime</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2019-07-20T12:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b4edce32-d82d-40ad-848b-b2a218af125d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b4edce32-d82d-40ad-848b-b2a218af125d' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter-1</dd><dt><span>long_name :</span></dt><dd>curvilinear coordinate metric in XI</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><dt><span>_ChunkSizes :</span></dt><dd>[106 242]</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pm' (eta_rho: 106, xi_rho: 242)>\n",
       "array([[0.000142, 0.000142, 0.000142, ..., 0.000143, 0.000143, 0.000143],\n",
       "       [0.000142, 0.000142, 0.000142, ..., 0.000143, 0.000143, 0.000143],\n",
       "       [0.000142, 0.000142, 0.000142, ..., 0.000143, 0.000143, 0.000143],\n",
       "       ...,\n",
       "       [0.000142, 0.000142, 0.000142, ..., 0.000145, 0.000145, 0.000145],\n",
       "       [0.000142, 0.000142, 0.000142, ..., 0.000145, 0.000145, 0.000145],\n",
       "       [0.000142, 0.000142, 0.000142, ..., 0.000145, 0.000145, 0.000145]])\n",
       "Coordinates:\n",
       "    lon_rho     (xi_rho, eta_rho) float64 -75.19 -75.24 -75.29 ... -64.49 -64.54\n",
       "    lat_rho     (xi_rho, eta_rho) float64 32.24 32.29 32.34 ... 46.56 46.61\n",
       "    ocean_time  datetime64[ns] 2021-02-20T12:00:00\n",
       "    time        datetime64[ns] 2019-07-21T12:00:00\n",
       "    time_run    datetime64[ns] 2019-07-20T12:00:00\n",
       "Dimensions without coordinates: eta_rho, xi_rho\n",
       "Attributes:\n",
       "    units:        meter-1\n",
       "    long_name:    curvilinear coordinate metric in XI\n",
       "    grid:         grid\n",
       "    location:     face\n",
       "    field:        pm, scalar\n",
       "    _ChunkSizes:  [106 242]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def rename_redundant_dim(ds, rename_dict):\n",
    "    for k,v in rename_dict.items():\n",
    "        ds_full = ds.copy()\n",
    "        # remove redundant dims\n",
    "        drop_vars = [a for a in ds.keys() if k in ds[a].dims]\n",
    "        ds = ds.drop(drop_vars)\n",
    "        for d in ds_full.data_vars:\n",
    "            if k in ds_full[d].dims:\n",
    "                ds[d] = ds_full[d].rename({k:v})\n",
    "        for c in ds_full.coords:\n",
    "            if k in ds_full[c].dims:\n",
    "                ds.coords[c] = ds_full[c].rename({k:v})\n",
    "    return ds\n",
    "\n",
    "model_renamed = rename_redundant_dim(ds, {'eta_u':'eta_rho', 'xi_v':'xi_rho'})\n",
    "model_renamed.pm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xgcm.Grid>\n",
       "X Axis (periodic, boundary=None):\n",
       "  * center   xi_rho --> inner\n",
       "  * inner    xi_u --> center\n",
       "Y Axis (periodic, boundary=None):\n",
       "  * center   eta_rho --> inner\n",
       "  * inner    eta_v --> center\n",
       "s Axis (periodic, boundary=None):\n",
       "  * center   s_rho --> outer\n",
       "  * outer    s_w --> center"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from xgcm import Grid\n",
    "\n",
    "coords={'X':{'center':'xi_rho', 'inner':'xi_u'}, \n",
    "        'Y':{'center':'eta_rho', 'inner':'eta_v'}, \n",
    "        's':{'center':'s_rho', 'outer':'s_w'}}\n",
    "\n",
    "grid = Grid(model_renamed, coords=coords)\n",
    "\n",
    "grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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     "text": [
      "<xarray.DataArray (eta_v: 105, xi_u: 241)>\n",
      "array([[ 0.04105872, -0.17279426,  0.09197975, ...,  0.07066662,\n",
      "         0.04990177,  0.00950528],\n",
      "       [ 0.34061927, -0.27166295, -0.08263472, ...,  0.02275275,\n",
      "         0.07078068, -0.02604202],\n",
      "       [ 0.07970064, -0.27977082, -0.14597507, ...,  0.03064012,\n",
      "         0.10431921,  0.0668125 ],\n",
      "       ...,\n",
      "       [        nan,         nan,         nan, ...,         nan,\n",
      "                nan,         nan],\n",
      "       [        nan,         nan,         nan, ...,         nan,\n",
      "                nan,         nan],\n",
      "       [        nan,         nan,         nan, ...,         nan,\n",
      "                nan,         nan]])\n",
      "Dimensions without coordinates: eta_v, xi_u\n"
     ]
    },
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       ".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.DataArray (eta_v: 105, xi_u: 241)&gt;\n",
       "array([[ 0.04105872, -0.17279426,  0.09197975, ...,  0.07066662,\n",
       "         0.04990177,  0.00950528],\n",
       "       [ 0.34061927, -0.27166295, -0.08263472, ...,  0.02275275,\n",
       "         0.07078068, -0.02604202],\n",
       "       [ 0.07970064, -0.27977082, -0.14597507, ...,  0.03064012,\n",
       "         0.10431921,  0.0668125 ],\n",
       "       ...,\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan]])\n",
       "Dimensions without coordinates: eta_v, xi_u</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>eta_v</span>: 105</li><li><span>xi_u</span>: 241</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-275484e1-0542-41b3-b989-32dc4b0e62db' class='xr-array-in' type='checkbox' checked><label for='section-275484e1-0542-41b3-b989-32dc4b0e62db' 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>0.04106 -0.1728 0.09198 -0.1744 -0.0716 ... nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[ 0.04105872, -0.17279426,  0.09197975, ...,  0.07066662,\n",
       "         0.04990177,  0.00950528],\n",
       "       [ 0.34061927, -0.27166295, -0.08263472, ...,  0.02275275,\n",
       "         0.07078068, -0.02604202],\n",
       "       [ 0.07970064, -0.27977082, -0.14597507, ...,  0.03064012,\n",
       "         0.10431921,  0.0668125 ],\n",
       "       ...,\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-e47c0605-ab81-4e61-92dc-be711b3b9b17' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e47c0605-ab81-4e61-92dc-be711b3b9b17' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-80f34141-7977-4f25-8a9f-d88cfc51269e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-80f34141-7977-4f25-8a9f-d88cfc51269e' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (eta_v: 105, xi_u: 241)>\n",
       "array([[ 0.04105872, -0.17279426,  0.09197975, ...,  0.07066662,\n",
       "         0.04990177,  0.00950528],\n",
       "       [ 0.34061927, -0.27166295, -0.08263472, ...,  0.02275275,\n",
       "         0.07078068, -0.02604202],\n",
       "       [ 0.07970064, -0.27977082, -0.14597507, ...,  0.03064012,\n",
       "         0.10431921,  0.0668125 ],\n",
       "       ...,\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan]])\n",
       "Dimensions without coordinates: eta_v, xi_u"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# why is the diff not shifting to the rho point? because I'm diffing the other component that is on the oposite edge?\n",
    "# U is is on eta_rho, so if you diff, it goes to eta_v? and its non-diff dim is xi_u. the opposite happens to Vx\n",
    "# so to fix this do we interp onto rho? can you do 2d interp?\n",
    "\n",
    "u_2d = model_renamed.isel( s_rho=-1).u[:,:]\n",
    "v_2d = model_renamed.isel( s_rho=-1).v[:,:]\n",
    "\n",
    "# # dudx = grid.diff(u_2d, 'xi')* model_renamed.pm\n",
    "# # dvdy = grid.diff(v_2d, 'eta')* model_renamed.pn\n",
    "\n",
    "\n",
    "# dvdx = grid.diff(v_2d, 'xi')* model_renamed.pm\n",
    "# dudy = grid.diff(u_2d, 'eta')* model_renamed.pn\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "# vort\n",
    "\n",
    "dvdx = grid.diff(v_2d, 'X')\n",
    "print(dvdx)\n",
    "\n",
    "dudy = grid.diff(u_2d, 'Y')\n",
    "dudy\n",
    "# dvdy = grid.diff(v_2d, 'eta')\n",
    "# dvdy\n",
    "\n",
    "\n",
    "vort = dvdx - dudy \n",
    "dvdx"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# psi coords\n",
    "These seem to match the velocity edges where vorticity would be computed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# import cartopy.crs as ccrs\n",
    "# import cartopy\n",
    "# from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n",
    "\n",
    "fig = plt.figure(figsize=(5,5))\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.coastlines(resolution='50m')\n",
    "\n",
    "gl = ax.gridlines(draw_labels=True,linewidth=1, color='gray', alpha=0.5, linestyle='--')\n",
    "gl.xlabels_top = gl.ylabels_right = False\n",
    "gl.xformatter = LONGITUDE_FORMATTER\n",
    "gl.yformatter = LATITUDE_FORMATTER\n",
    "\n",
    "\n",
    "cc = ax.pcolor(ds.lon_psi, ds.lat_psi, vort, cmap=cmocean.cm.curl, vmin=-.75, vmax=.75, transform=ccrs.PlateCarree())\n",
    "plt.colorbar(cc, shrink=0.5, label='$\\zeta$')\n",
    "\n",
    "plt.savefig('/Users/beaird/Desktop/doppio.png',dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.DataArray 'pm' (eta_rho: 106, xi_rho: 242)>\n",
       "array([[0.000142, 0.000142, 0.000142, ..., 0.000143, 0.000143, 0.000143],\n",
       "       [0.000142, 0.000142, 0.000142, ..., 0.000143, 0.000143, 0.000143],\n",
       "       [0.000142, 0.000142, 0.000142, ..., 0.000143, 0.000143, 0.000143],\n",
       "       ...,\n",
       "       [0.000142, 0.000142, 0.000142, ..., 0.000145, 0.000145, 0.000145],\n",
       "       [0.000142, 0.000142, 0.000142, ..., 0.000145, 0.000145, 0.000145],\n",
       "       [0.000142, 0.000142, 0.000142, ..., 0.000145, 0.000145, 0.000145]])\n",
       "Coordinates:\n",
       "    lon_rho     (eta_rho, xi_rho) float64 -75.19 -75.13 -75.08 ... -64.62 -64.54\n",
       "    lat_rho     (eta_rho, xi_rho) float64 32.24 32.28 32.32 ... 46.58 46.61\n",
       "    ocean_time  datetime64[ns] 2019-10-02T12:00:00\n",
       "    time        datetime64[ns] 2019-07-21T12:00:00\n",
       "    time_run    datetime64[ns] 2019-07-20T12:00:00\n",
       "Dimensions without coordinates: eta_rho, xi_rho\n",
       "Attributes:\n",
       "    units:        meter-1\n",
       "    long_name:    curvilinear coordinate metric in XI\n",
       "    grid:         grid\n",
       "    location:     face\n",
       "    field:        pm, scalar\n",
       "    _ChunkSizes:  [106 242]"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_renamed.pm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.DataArray (eta_v: 105, xi_u: 241)>\n",
       "array([[ 0.02758 , -0.135426, -0.020632, ...,  0.002776, -0.024135, -0.011682],\n",
       "       [-0.004729,  0.068065,  0.08025 , ...,  0.113468,  0.125151,  0.10223 ],\n",
       "       [ 0.105295,  0.111389,  0.055493, ...,  0.03559 ,  0.044928,  0.058762],\n",
       "       ...,\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,       nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,       nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,       nan]])\n",
       "Dimensions without coordinates: eta_v, xi_u"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid.diff(u_2d, 'Y')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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