{
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  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4cd43153-8c1d-4ee5-8044-2d1692486ef8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Play with Beaching #"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "id": "666a35ff-9c31-4911-b8c0-10bb11e0d843",
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime as dt\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from pathlib import Path\n",
    "import xarray as xr\n",
    "\n",
    "from salishsea_tools import viz_tools"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "6fc916ab-235e-4641-a41d-d595a0668098",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:       (t: 1, x: 398, y: 898, z: 40)\n",
       "Dimensions without coordinates: t, x, y, z\n",
       "Data variables: (12/43)\n",
       "    nav_lon       (y, x) float32 ...\n",
       "    nav_lat       (y, x) float32 ...\n",
       "    time_counter  (t) datetime64[ns] 1900-01-01\n",
       "    tmask         (t, z, y, x) int8 ...\n",
       "    umask         (t, z, y, x) int8 ...\n",
       "    vmask         (t, z, y, x) int8 ...\n",
       "    ...            ...\n",
       "    gdepv         (t, z, y, x) float32 ...\n",
       "    gdepw_0       (t, z, y, x) float32 ...\n",
       "    gdept_1d      (t, z) float64 0.5 1.5 2.5 3.5 4.5 ... 360.7 387.6 414.5 441.5\n",
       "    gdepw_1d      (t, z) float64 0.0 1.0 2.0 3.0 4.0 ... 347.2 374.1 401.1 428.0\n",
       "    e3t_1d        (t, z) float64 1.0 1.0 1.0 1.0 1.0 ... 26.93 26.93 26.93 26.93\n",
       "    e3w_1d        (t, z) float64 1.0 1.0 1.0 1.0 1.0 ... 26.92 26.93 26.93 26.93\n",
       "Attributes: (12/18)\n",
       "    DOMAIN_number_total:     1\n",
       "    DOMAIN_number:           0\n",
       "    DOMAIN_dimensions_ids:   [1 2]\n",
       "    DOMAIN_size_global:      [398 898]\n",
       "    DOMAIN_size_local:       [398 898]\n",
       "    DOMAIN_position_first:   [1 1]\n",
       "    ...                      ...\n",
       "    Conventions:             CF-1.6\n",
       "    title:                   Salish Sea NEMO bathymetry_201702 Bathymetry Mes...\n",
       "    institution:             Dept of Earth, Ocean &amp; Atmospheric Sciences, Uni...\n",
       "    source:                  NEMO-3.6 Salish Sea configuration\n",
       "    references:              https://salishsea.eos.ubc.ca/erddap/info/\\nhttps...\n",
       "    history:                 [2019-03-14 15:00] ncks -4 -L4 -O mesh_mask.nc m...</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-c91a7a51-b789-4650-a748-1b6e4d88c050' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c91a7a51-b789-4650-a748-1b6e4d88c050' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>t</span>: 1</li><li><span>x</span>: 398</li><li><span>y</span>: 898</li><li><span>z</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-dbad4e6f-2ea8-4aa0-a6fa-63c454684e91' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dbad4e6f-2ea8-4aa0-a6fa-63c454684e91' 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-e415602b-cb23-441f-85c6-d84a73c7b381' class='xr-section-summary-in' type='checkbox'  ><label for='section-e415602b-cb23-441f-85c6-d84a73c7b381' class='xr-section-summary' >Data variables: <span>(43)</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>nav_lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4edda812-af05-4e4d-87a5-9eeb6c441b9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4edda812-af05-4e4d-87a5-9eeb6c441b9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-721ee385-9e99-4e62-ae4b-f8e3e95e54ce' class='xr-var-data-in' type='checkbox'><label for='data-721ee385-9e99-4e62-ae4b-f8e3e95e54ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>nav_lon</dd><dt><span>long_name :</span></dt><dd>longitude of T-grid points</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nav_lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-39606bf4-5674-41e6-841e-ec09138bf357' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39606bf4-5674-41e6-841e-ec09138bf357' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0bd2925-e61e-4167-916c-1e8f456940f3' class='xr-var-data-in' type='checkbox'><label for='data-f0bd2925-e61e-4167-916c-1e8f456940f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>nav_lat</dd><dt><span>long_name :</span></dt><dd>latitude of T-grid points</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_counter</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ec5732db-735a-4d7f-97a7-8e013c2d9af8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec5732db-735a-4d7f-97a7-8e013c2d9af8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0bea069-5b1d-4b0f-ab70-bfb1c5c4d6c8' class='xr-var-data-in' type='checkbox'><label for='data-d0bea069-5b1d-4b0f-ab70-bfb1c5c4d6c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time_counter</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>time_origin :</span></dt><dd>2014-09-12 00:30:00</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1900-01-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tmask</span></div><div class='xr-var-dims'>(t, z, y, x)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1a5a9898-4a9f-4e01-89e3-c17f80996e7e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1a5a9898-4a9f-4e01-89e3-c17f80996e7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9fc26a6-c12e-4c7b-b3e6-96a82dcf9a50' class='xr-var-data-in' type='checkbox'><label for='data-f9fc26a6-c12e-4c7b-b3e6-96a82dcf9a50' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>tmask</dd><dt><span>long_name :</span></dt><dd>mask for T-grid and W-grid</dd><dt><span>flag_values :</span></dt><dd>0, 1</dd><dt><span>flag_meanings :</span></dt><dd>land, water</dd></dl></div><div class='xr-var-data'><pre>[14296160 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>umask</span></div><div class='xr-var-dims'>(t, z, y, x)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7fe71df2-f313-43f9-9e2b-307902dc13b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7fe71df2-f313-43f9-9e2b-307902dc13b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6907a149-282b-40d5-8066-01f0c8212ed3' class='xr-var-data-in' type='checkbox'><label for='data-6907a149-282b-40d5-8066-01f0c8212ed3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>umask</dd><dt><span>long_name :</span></dt><dd>mask for U-grid</dd><dt><span>flag_values :</span></dt><dd>0, 1</dd><dt><span>flag_meanings :</span></dt><dd>land, water</dd></dl></div><div class='xr-var-data'><pre>[14296160 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vmask</span></div><div class='xr-var-dims'>(t, z, y, x)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2e4b1684-fa6d-4cef-9a1c-e59134339c24' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e4b1684-fa6d-4cef-9a1c-e59134339c24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d8f47ce-c53c-432c-8fb6-ead6c87c8846' class='xr-var-data-in' type='checkbox'><label for='data-0d8f47ce-c53c-432c-8fb6-ead6c87c8846' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>vmask</dd><dt><span>long_name :</span></dt><dd>mask for V-grid</dd><dt><span>flag_values :</span></dt><dd>0, 1</dd><dt><span>flag_meanings :</span></dt><dd>land, water</dd></dl></div><div class='xr-var-data'><pre>[14296160 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fmask</span></div><div class='xr-var-dims'>(t, z, y, x)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ce72fa01-162e-4ea7-8b51-8e095a8ac1de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce72fa01-162e-4ea7-8b51-8e095a8ac1de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36ae0ffe-fd05-486e-a1b2-68274d395fb5' class='xr-var-data-in' type='checkbox'><label for='data-36ae0ffe-fd05-486e-a1b2-68274d395fb5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>fmask</dd><dt><span>long_name :</span></dt><dd>mask for vorticity-grid</dd><dt><span>flag_values :</span></dt><dd>0, 1</dd><dt><span>flag_meanings :</span></dt><dd>land, water</dd></dl></div><div class='xr-var-data'><pre>[14296160 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tmaskutil</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a29b7a82-e35d-4658-93a0-9e3fd6287bb4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a29b7a82-e35d-4658-93a0-9e3fd6287bb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0d10914-1bee-4250-a0cf-f9798f8509f1' class='xr-var-data-in' type='checkbox'><label for='data-b0d10914-1bee-4250-a0cf-f9798f8509f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>tmaskutil</dd><dt><span>long_name :</span></dt><dd>dry land mask for T-grid and W-grid</dd><dt><span>flag_values :</span></dt><dd>0, 1</dd><dt><span>flag_meanings :</span></dt><dd>land, water</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>umaskutil</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-11be8f3d-e32f-47d6-88df-1a6c2c1accd4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11be8f3d-e32f-47d6-88df-1a6c2c1accd4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5428926-b192-4e77-99d1-1c847d09d53c' class='xr-var-data-in' type='checkbox'><label for='data-f5428926-b192-4e77-99d1-1c847d09d53c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>umaskutil</dd><dt><span>long_name :</span></dt><dd>dry land mask for U-grid</dd><dt><span>flag_values :</span></dt><dd>0, 1</dd><dt><span>flag_meanings :</span></dt><dd>land, water</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vmaskutil</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5bce2ded-86f0-4e3e-8e33-5f601478b8dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5bce2ded-86f0-4e3e-8e33-5f601478b8dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83f579a9-f842-4046-a273-e450365bd84b' class='xr-var-data-in' type='checkbox'><label for='data-83f579a9-f842-4046-a273-e450365bd84b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>vmaskutil</dd><dt><span>long_name :</span></dt><dd>dry land mask for V-grid</dd><dt><span>flag_values :</span></dt><dd>0, 1</dd><dt><span>flag_meanings :</span></dt><dd>land, water</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fmaskutil</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-63f48d5a-d3fc-4d7a-b9b3-f05cf28bcd8d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63f48d5a-d3fc-4d7a-b9b3-f05cf28bcd8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49b89833-c2bc-41f2-be60-40ea4d117ee1' class='xr-var-data-in' type='checkbox'><label for='data-49b89833-c2bc-41f2-be60-40ea4d117ee1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>fmaskutil</dd><dt><span>long_name :</span></dt><dd>dry land mask for vorticity-grid</dd><dt><span>flag_values :</span></dt><dd>0, 1</dd><dt><span>flag_meanings :</span></dt><dd>land, water</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>glamt</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-951ae1b9-b136-4cd0-be33-d92fe533e207' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-951ae1b9-b136-4cd0-be33-d92fe533e207' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-593b8c1b-4e8f-4dfe-8e38-e9285392e3c2' class='xr-var-data-in' type='checkbox'><label for='data-593b8c1b-4e8f-4dfe-8e38-e9285392e3c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>glamt</dd><dt><span>long_name :</span></dt><dd>longitude of T-grid points</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>glamu</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-137c6d15-a324-4765-bf51-24942cf0838b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-137c6d15-a324-4765-bf51-24942cf0838b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6700ad2-8cf2-49a2-8006-d1777b73bcba' class='xr-var-data-in' type='checkbox'><label for='data-f6700ad2-8cf2-49a2-8006-d1777b73bcba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>glamu</dd><dt><span>long_name :</span></dt><dd>longitude of U-grid points</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>glamv</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d763e1bf-a4c7-417f-bfe8-db0da583e74e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d763e1bf-a4c7-417f-bfe8-db0da583e74e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32a1113c-1f7c-47da-9a47-7ced4c0e8c61' class='xr-var-data-in' type='checkbox'><label for='data-32a1113c-1f7c-47da-9a47-7ced4c0e8c61' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>glamv</dd><dt><span>long_name :</span></dt><dd>longitude of V-grid points</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>glamf</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cc53b67f-95dc-4d5c-b26e-cd1216bd332d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc53b67f-95dc-4d5c-b26e-cd1216bd332d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0df5482-520f-495c-b7f2-7565fe8a2c76' class='xr-var-data-in' type='checkbox'><label for='data-b0df5482-520f-495c-b7f2-7565fe8a2c76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>glamf</dd><dt><span>long_name :</span></dt><dd>longitude of vorticity-grid points</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gphit</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-69fb5c21-9785-4dbc-91bf-1543bdc189a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69fb5c21-9785-4dbc-91bf-1543bdc189a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e142ba36-7514-4ad1-acd0-798d6fea699a' class='xr-var-data-in' type='checkbox'><label for='data-e142ba36-7514-4ad1-acd0-798d6fea699a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>gphit</dd><dt><span>long_name :</span></dt><dd>latitude of T-grid points</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gphiu</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-654b0973-2482-4d2e-8472-75d7b5f834dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-654b0973-2482-4d2e-8472-75d7b5f834dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a93d4d7-a592-48b2-9823-c52d28cd535b' class='xr-var-data-in' type='checkbox'><label for='data-7a93d4d7-a592-48b2-9823-c52d28cd535b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>gphiu</dd><dt><span>long_name :</span></dt><dd>latitude of U-grid points</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gphiv</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-297672f9-9a9a-4145-ab87-6c98e4f0f5b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-297672f9-9a9a-4145-ab87-6c98e4f0f5b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83233143-4e85-4216-aaec-9266fd27bf48' class='xr-var-data-in' type='checkbox'><label for='data-83233143-4e85-4216-aaec-9266fd27bf48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>gphiv</dd><dt><span>long_name :</span></dt><dd>latitude of V-grid points</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gphif</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dd1a56d3-05ac-470c-82a8-df6eead8cfe7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd1a56d3-05ac-470c-82a8-df6eead8cfe7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-511787ee-042e-42ea-8ac5-9a2a05f3306f' class='xr-var-data-in' type='checkbox'><label for='data-511787ee-042e-42ea-8ac5-9a2a05f3306f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>gphif</dd><dt><span>long_name :</span></dt><dd>latitude of vorticity-grid points</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>e1t</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-54548b19-6b26-4fa0-a004-769fc1254da3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54548b19-6b26-4fa0-a004-769fc1254da3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af2b2bd0-d2c8-413c-9f61-ac24a0068ca6' class='xr-var-data-in' type='checkbox'><label for='data-af2b2bd0-d2c8-413c-9f61-ac24a0068ca6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>e1t</dd><dt><span>long_name :</span></dt><dd>grid spacing on T-grid in u direction</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>e1u</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ce8feebe-1d21-4d23-bbf8-e16ae1f17430' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce8feebe-1d21-4d23-bbf8-e16ae1f17430' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f1fa90a-0a16-45fd-864b-5cb23197e532' class='xr-var-data-in' type='checkbox'><label for='data-6f1fa90a-0a16-45fd-864b-5cb23197e532' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>e1u</dd><dt><span>long_name :</span></dt><dd>grid spacing on U-grid in u direction</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>e1v</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-195f487f-1bd2-4f94-b774-af302cb5a107' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-195f487f-1bd2-4f94-b774-af302cb5a107' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b5ec9ac-4131-49d2-a91e-95aba2401054' class='xr-var-data-in' type='checkbox'><label for='data-2b5ec9ac-4131-49d2-a91e-95aba2401054' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>e1v</dd><dt><span>long_name :</span></dt><dd>grid spacing on V-grid in u direction</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>e1f</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-65897ede-1608-41d0-8849-5c6f83ccf286' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65897ede-1608-41d0-8849-5c6f83ccf286' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc6664c2-a1b7-42f2-926d-c1b30bef5706' class='xr-var-data-in' type='checkbox'><label for='data-dc6664c2-a1b7-42f2-926d-c1b30bef5706' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>e1f</dd><dt><span>long_name :</span></dt><dd>grid spacing on vorticity-grid in u direction</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>e2t</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-988e262a-e1db-4a33-9f4a-93cea98f0a76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-988e262a-e1db-4a33-9f4a-93cea98f0a76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c869c95b-22dd-4ebf-a951-8a74b4791d0d' class='xr-var-data-in' type='checkbox'><label for='data-c869c95b-22dd-4ebf-a951-8a74b4791d0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>e2t</dd><dt><span>long_name :</span></dt><dd>grid spacing on T-grid in v direction</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>e2u</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c3e91c56-8aee-4beb-ab68-073c4ad19321' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3e91c56-8aee-4beb-ab68-073c4ad19321' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-579aa12e-5c42-418c-be1a-8ca908f97643' class='xr-var-data-in' type='checkbox'><label for='data-579aa12e-5c42-418c-be1a-8ca908f97643' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>e2u</dd><dt><span>long_name :</span></dt><dd>grid spacing on U-grid in v direction</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>e2v</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9d53850c-e61b-4568-91ee-3ac82ac61150' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d53850c-e61b-4568-91ee-3ac82ac61150' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23642a52-f856-4cf2-bda0-c154ae7fcf35' class='xr-var-data-in' type='checkbox'><label for='data-23642a52-f856-4cf2-bda0-c154ae7fcf35' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>e2v</dd><dt><span>long_name :</span></dt><dd>grid spacing on V-grid in v direction</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>e2f</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a9ede231-39f6-4006-aa5f-6cfdd233a602' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9ede231-39f6-4006-aa5f-6cfdd233a602' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-549c52f7-6da4-4cbc-8e30-b781ba2325fb' class='xr-var-data-in' type='checkbox'><label for='data-549c52f7-6da4-4cbc-8e30-b781ba2325fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>e2f</dd><dt><span>long_name :</span></dt><dd>grid spacing on vorticity-grid in v direction</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ff</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d1c90d13-2fec-4ab8-b137-eab458f588c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1c90d13-2fec-4ab8-b137-eab458f588c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a18f53e2-4ad1-45b9-8057-54abfac1ab4f' class='xr-var-data-in' type='checkbox'><label for='data-a18f53e2-4ad1-45b9-8057-54abfac1ab4f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>ff</dd><dt><span>long_name :</span></dt><dd>Coriolis parameter on vorticity-grid</dd><dt><span>units :</span></dt><dd>1/s</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mbathy</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-41a42031-3c6b-4132-b716-36d61536d7a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41a42031-3c6b-4132-b716-36d61536d7a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6d5b944-4a6c-40b4-a57e-55b827ff002e' class='xr-var-data-in' type='checkbox'><label for='data-e6d5b944-4a6c-40b4-a57e-55b827ff002e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>mbathy</dd><dt><span>long_name :</span></dt><dd>fortran index of deepest water cell, T-grid</dd><dt><span>units :</span></dt><dd>count</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>misf</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-88e2bf53-2454-4901-bf22-decc81c8e972' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88e2bf53-2454-4901-bf22-decc81c8e972' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-552de958-8abf-4a0b-96fe-5aa74e153688' class='xr-var-data-in' type='checkbox'><label for='data-552de958-8abf-4a0b-96fe-5aa74e153688' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>misf</dd><dt><span>long_name :</span></dt><dd>fortran index of shallowest water, T-grid</dd><dt><span>units :</span></dt><dd>count</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=int16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>isfdraft</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-65847e2c-8590-4574-a24e-4be4f5694875' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65847e2c-8590-4574-a24e-4be4f5694875' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13a518f5-2b17-41ac-b807-61f5992c6188' class='xr-var-data-in' type='checkbox'><label for='data-13a518f5-2b17-41ac-b807-61f5992c6188' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>isfdraft</dd><dt><span>long_name :</span></dt><dd>thickness of land-fast ice below sea level</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>e3t_0</span></div><div class='xr-var-dims'>(t, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-38156aba-a9d2-4496-830b-aa755a7134d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38156aba-a9d2-4496-830b-aa755a7134d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2afa6c10-8e83-49ec-949b-4192521b48a1' class='xr-var-data-in' type='checkbox'><label for='data-2afa6c10-8e83-49ec-949b-4192521b48a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>e3t_0</dd><dt><span>long_name :</span></dt><dd>grid spacing on T-grid in w direction</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[14296160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>e3u_0</span></div><div class='xr-var-dims'>(t, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f26d51fc-e3e4-45ce-838a-036eac5b6eba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f26d51fc-e3e4-45ce-838a-036eac5b6eba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83a493ed-ba27-4196-a62e-4d0f195362fd' class='xr-var-data-in' type='checkbox'><label for='data-83a493ed-ba27-4196-a62e-4d0f195362fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>e3u_0</dd><dt><span>long_name :</span></dt><dd>grid spacing on U-grid in w direction</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[14296160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>e3v_0</span></div><div class='xr-var-dims'>(t, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f9187190-ed4c-41ce-8078-fa0142ddcccc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9187190-ed4c-41ce-8078-fa0142ddcccc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2987f77-1a0e-44c4-a906-0f09169e9e9b' class='xr-var-data-in' type='checkbox'><label for='data-f2987f77-1a0e-44c4-a906-0f09169e9e9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>e3v_0</dd><dt><span>long_name :</span></dt><dd>grid spacing on V-grid in w direction</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[14296160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>e3w_0</span></div><div class='xr-var-dims'>(t, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-663fe018-4f40-4136-9501-31336170d3b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-663fe018-4f40-4136-9501-31336170d3b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-946b32d2-4975-4001-aafe-ab0f8c7b2f6b' class='xr-var-data-in' type='checkbox'><label for='data-946b32d2-4975-4001-aafe-ab0f8c7b2f6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>e3w_0</dd><dt><span>long_name :</span></dt><dd>grid spacing on W-grid in w direction</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[14296160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gdept_0</span></div><div class='xr-var-dims'>(t, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a73ce238-eb6d-4f5a-aaa5-36c02c0052ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a73ce238-eb6d-4f5a-aaa5-36c02c0052ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f5ff238-4507-4074-a2ab-26d2e2d452a9' class='xr-var-data-in' type='checkbox'><label for='data-3f5ff238-4507-4074-a2ab-26d2e2d452a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>gdept_0</dd><dt><span>long_name :</span></dt><dd>depth of T-grid points</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>down</dd></dl></div><div class='xr-var-data'><pre>[14296160 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gdepu</span></div><div class='xr-var-dims'>(t, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-30053b40-7598-4fbb-9036-e378b5c9edf1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30053b40-7598-4fbb-9036-e378b5c9edf1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-461ab3da-8497-4f96-bf76-fb7eedd65372' class='xr-var-data-in' type='checkbox'><label for='data-461ab3da-8497-4f96-bf76-fb7eedd65372' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>gdepu</dd><dt><span>long_name :</span></dt><dd>depth of U-grid points</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>down</dd></dl></div><div class='xr-var-data'><pre>[14296160 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gdepv</span></div><div class='xr-var-dims'>(t, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0dbd797a-b575-4adc-b1db-905cf93f66b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0dbd797a-b575-4adc-b1db-905cf93f66b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f395b1c3-c82d-4fb9-b068-3771d1404e9e' class='xr-var-data-in' type='checkbox'><label for='data-f395b1c3-c82d-4fb9-b068-3771d1404e9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>gdepv</dd><dt><span>long_name :</span></dt><dd>depth of V-grid points</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>down</dd></dl></div><div class='xr-var-data'><pre>[14296160 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gdepw_0</span></div><div class='xr-var-dims'>(t, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5f20aa97-150e-4a00-9219-08f24da09fed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f20aa97-150e-4a00-9219-08f24da09fed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e10a27ce-f329-475a-963f-13f1dbebc081' class='xr-var-data-in' type='checkbox'><label for='data-e10a27ce-f329-475a-963f-13f1dbebc081' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>gdepw_0</dd><dt><span>long_name :</span></dt><dd>depth of W-grid points</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>down</dd></dl></div><div class='xr-var-data'><pre>[14296160 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gdept_1d</span></div><div class='xr-var-dims'>(t, z)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-24b205e4-0ca2-4332-90da-ea83ec50eb65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24b205e4-0ca2-4332-90da-ea83ec50eb65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b33b7a2a-445a-4300-9e6b-4383d5890a91' class='xr-var-data-in' type='checkbox'><label for='data-b33b7a2a-445a-4300-9e6b-4383d5890a91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>gdept_1d</dd><dt><span>long_name :</span></dt><dd>nominal depth of T-grid points</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>down</dd></dl></div><div class='xr-var-data'><pre>array([[  0.5     ,   1.500003,   2.500012,   3.500031,   4.50007 ,\n",
       "          5.500151,   6.50031 ,   7.500623,   8.501236,   9.502433,\n",
       "         10.504765,  11.509311,  12.518167,  13.535412,  14.568982,\n",
       "         15.634287,  16.761173,  18.007135,  19.481785,  21.389979,\n",
       "         24.100257,  28.229915,  34.685758,  44.517725,  58.484334,\n",
       "         76.585584,  98.062959, 121.866518, 147.089458, 173.114482,\n",
       "        199.573049, 226.260306, 253.066637, 279.93455 , 306.834197,\n",
       "        333.75017 , 360.674532, 387.603203, 414.534088, 441.46611 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gdepw_1d</span></div><div class='xr-var-dims'>(t, z)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c758efd0-781d-4438-9091-2d17fa647e76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c758efd0-781d-4438-9091-2d17fa647e76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-435e97fb-8a99-4576-806e-56f5494d649b' class='xr-var-data-in' type='checkbox'><label for='data-435e97fb-8a99-4576-806e-56f5494d649b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>gdepw_1d</dd><dt><span>long_name :</span></dt><dd>nominal depth of W-grid points</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>down</dd></dl></div><div class='xr-var-data'><pre>array([[  0.      ,   1.000001,   2.000006,   3.000019,   4.000047,\n",
       "          5.000104,   6.000217,   7.000441,   8.000879,   9.001735,\n",
       "         10.003406,  11.006663,  12.013008,  13.025366,  14.049429,\n",
       "         15.096256,  16.187303,  17.364034,  18.705972,  20.363473,\n",
       "         22.613064,  25.937413,  31.101035,  39.118857,  50.963237,\n",
       "         67.052074,  86.96747 , 109.737066, 134.345934, 160.029562,\n",
       "        186.305278, 212.896557, 239.653045, 266.495214, 293.381605,\n",
       "        320.29076 , 347.21162 , 374.138492, 401.068453, 428.      ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>e3t_1d</span></div><div class='xr-var-dims'>(t, z)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9f30fe54-1525-487c-8d5d-816c980bf77c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f30fe54-1525-487c-8d5d-816c980bf77c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd404231-eeb0-450d-a3b6-04e365a9e630' class='xr-var-data-in' type='checkbox'><label for='data-bd404231-eeb0-450d-a3b6-04e365a9e630' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>e3t_1d</dd><dt><span>long_name :</span></dt><dd>nominal vertical grid spacing on T-grid</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.000001,  1.000005,  1.000013,  1.000027,  1.000056,  1.000111,\n",
       "         1.000219,  1.00043 ,  1.000841,  1.00164 ,  1.003197,  1.006229,\n",
       "         1.012133,  1.023624,  1.045976,  1.089401,  1.173564,  1.335929,\n",
       "         1.646368,  2.229903,  3.292486,  5.119985,  7.974515, 11.825297,\n",
       "        16.10792 , 19.958703, 22.813233, 24.640732, 25.703315, 26.28685 ,\n",
       "        26.597289, 26.759653, 26.843817, 26.887242, 26.909594, 26.921085,\n",
       "        26.926989, 26.930021, 26.931578, 26.932377]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>e3w_1d</span></div><div class='xr-var-dims'>(t, z)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f234cf27-5075-48b8-8f70-0c6d5f32ca13' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f234cf27-5075-48b8-8f70-0c6d5f32ca13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ed1bfb1-0642-4a3c-a3f4-f1013302f1ae' class='xr-var-data-in' type='checkbox'><label for='data-3ed1bfb1-0642-4a3c-a3f4-f1013302f1ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>e3w_1d</dd><dt><span>long_name :</span></dt><dd>nominal vertical grid spacing on W-grid</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.      ,  1.000003,  1.000008,  1.000019,  1.000039,  1.000079,\n",
       "         1.000156,  1.000307,  1.000602,  1.001174,  1.00229 ,  1.004463,\n",
       "         1.008694,  1.016931,  1.032959,  1.06412 ,  1.1246  ,  1.24159 ,\n",
       "         1.466437,  1.893272,  2.684857,  4.091313,  6.409889,  9.797678,\n",
       "        13.966609, 18.13554 , 21.523329, 23.841905, 25.248361, 26.039946,\n",
       "        26.46678 , 26.691628, 26.808618, 26.869097, 26.900259, 26.916287,\n",
       "        26.924524, 26.928755, 26.930928, 26.932043]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f53ed32d-eb9c-4dc4-b5cc-5fd1afb5f490' class='xr-section-summary-in' type='checkbox'  ><label for='section-f53ed32d-eb9c-4dc4-b5cc-5fd1afb5f490' class='xr-section-summary' >Attributes: <span>(18)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>DOMAIN_number_total :</span></dt><dd>1</dd><dt><span>DOMAIN_number :</span></dt><dd>0</dd><dt><span>DOMAIN_dimensions_ids :</span></dt><dd>[1 2]</dd><dt><span>DOMAIN_size_global :</span></dt><dd>[398 898]</dd><dt><span>DOMAIN_size_local :</span></dt><dd>[398 898]</dd><dt><span>DOMAIN_position_first :</span></dt><dd>[1 1]</dd><dt><span>DOMAIN_position_last :</span></dt><dd>[398 898]</dd><dt><span>DOMAIN_halo_size_start :</span></dt><dd>[0 0]</dd><dt><span>DOMAIN_halo_size_end :</span></dt><dd>[0 0]</dd><dt><span>DOMAIN_type :</span></dt><dd>BOX</dd><dt><span>file_name :</span></dt><dd>NEMO-forcing/grid/mesh_mask201702.nc</dd><dt><span>TimeStamp :</span></dt><dd>14/03/2019 15:00:00 -0700</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>title :</span></dt><dd>Salish Sea NEMO bathymetry_201702 Bathymetry Mesh Mask</dd><dt><span>institution :</span></dt><dd>Dept of Earth, Ocean &amp; Atmospheric Sciences, University of British Columbia</dd><dt><span>source :</span></dt><dd>NEMO-3.6 Salish Sea configuration</dd><dt><span>references :</span></dt><dd>https://salishsea.eos.ubc.ca/erddap/info/\n",
       "https://bitbucket.org/salishsea/nemo-forcing/src/tip/grid/bathymetery_201702.nc\n",
       "</dd><dt><span>history :</span></dt><dd>[2019-03-14 15:00] ncks -4 -L4 -O mesh_mask.nc mesh_mask201702.nc\n",
       "[2019-03-16 17:30] Added metadata to variable in preparation for creation of ERDDAP datasets.</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:       (t: 1, x: 398, y: 898, z: 40)\n",
       "Dimensions without coordinates: t, x, y, z\n",
       "Data variables: (12/43)\n",
       "    nav_lon       (y, x) float32 ...\n",
       "    nav_lat       (y, x) float32 ...\n",
       "    time_counter  (t) datetime64[ns] ...\n",
       "    tmask         (t, z, y, x) int8 ...\n",
       "    umask         (t, z, y, x) int8 ...\n",
       "    vmask         (t, z, y, x) int8 ...\n",
       "    ...            ...\n",
       "    gdepv         (t, z, y, x) float32 ...\n",
       "    gdepw_0       (t, z, y, x) float32 ...\n",
       "    gdept_1d      (t, z) float64 ...\n",
       "    gdepw_1d      (t, z) float64 ...\n",
       "    e3t_1d        (t, z) float64 ...\n",
       "    e3w_1d        (t, z) float64 ...\n",
       "Attributes: (12/18)\n",
       "    DOMAIN_number_total:     1\n",
       "    DOMAIN_number:           0\n",
       "    DOMAIN_dimensions_ids:   [1 2]\n",
       "    DOMAIN_size_global:      [398 898]\n",
       "    DOMAIN_size_local:       [398 898]\n",
       "    DOMAIN_position_first:   [1 1]\n",
       "    ...                      ...\n",
       "    Conventions:             CF-1.6\n",
       "    title:                   Salish Sea NEMO bathymetry_201702 Bathymetry Mes...\n",
       "    institution:             Dept of Earth, Ocean & Atmospheric Sciences, Uni...\n",
       "    source:                  NEMO-3.6 Salish Sea configuration\n",
       "    references:              https://salishsea.eos.ubc.ca/erddap/info/\\nhttps...\n",
       "    history:                 [2019-03-14 15:00] ncks -4 -L4 -O mesh_mask.nc m..."
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mesh = xr.open_dataset('/home/sallen/MEOPAR/grid/mesh_mask201702.nc')\n",
    "land = mesh.tmask[0, 0]\n",
    "mesh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "id": "2f34ba55-ac77-4f2f-8016-7e19b648540f",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "# Kits\n",
    "imin, imax = 448, 460\n",
    "jmin, jmax = 321, 345\n",
    "fig, ax = plt.subplots(1, 1)\n",
    "land[imin:imax, jmin:jmax].plot(ax=ax)\n",
    "viz_tools.set_aspect(ax);\n",
    "mymask = np.zeros_like(land)\n",
    "mymask[imin:imax, jmin:jmax] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "id": "448a9155-a977-4195-b029-667b235ff6f3",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "# Orcas\n",
    "imin, imax = 320, 327\n",
    "jmin, jmax = 284, 308\n",
    "fig, ax = plt.subplots(1, 1)\n",
    "land[imin:imax, jmin:jmax].plot(ax=ax)\n",
    "viz_tools.set_aspect(ax);\n",
    "mymask = np.zeros_like(land)\n",
    "mymask[imin:imax, jmin:jmax] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "id": "c5eb39c9-136b-479f-a282-4207939cd9d6",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "# Lummi\n",
    "imin, imax = 305, 320\n",
    "jmin, jmax = 337, 355\n",
    "fig, ax = plt.subplots(1, 1)\n",
    "land[imin:imax, jmin:jmax].plot(ax=ax)\n",
    "viz_tools.set_aspect(ax);\n",
    "mymask = np.zeros_like(land)\n",
    "mymask[imin:imax, jmin:jmax] = 1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f3ecaae-deb0-4b2a-bffd-b7fe385c0616",
   "metadata": {},
   "source": [
    "values = np.ma.masked_array(np.ones_like(land[imin:imax, jmin:jmax]), mask=1-land[imin:imax, jmin:jmax])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ac41ae4-226e-4f00-8e13-ef6f2a18e4d9",
   "metadata": {},
   "source": [
    "np.ma.notmasked_edges(values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "id": "263a9599-354f-4eea-b6a4-8c5d5d6d7356",
   "metadata": {},
   "outputs": [],
   "source": [
    "minoil = 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "id": "8f7da02e-7a71-4223-8ae2-7ed0094dd88e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'dilbit'"
      ]
     },
     "execution_count": 212,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "colours = {'bunker': 'blue',\n",
    "           'other': 'blue',\n",
    "           'akns': 'navy',\n",
    "           'diesel': 'skyblue',\n",
    "           'gas': 'skyblue',\n",
    "           'jet': 'skyblue',\n",
    "           'dilbit': 'navy',\n",
    "           }\n",
    "colours['bunker']\n",
    "data.OilType.item()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "id": "ac19e75f-21e6-4ef7-ba23-14b91ff35a14",
   "metadata": {},
   "outputs": [],
   "source": [
    "month_colours = ['slateblue', 'slateblue', 'lawngreen', 'lawngreen', 'indianred', 'indianred',\n",
    "                 'goldenrod', 'goldenrod', 'goldenrod', 'darkorchid', 'darkorchid', 'slateblue']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "id": "0a1ddfc8-3ad5-4ad6-a23b-35c8754cec93",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "scale = 5\n",
    "scount = 0\n",
    "ncount = 0\n",
    "fig, axs = plt.subplots(1, 2, figsize=(15, 7))\n",
    "for ax in axs:\n",
    "    ax.pcolormesh(mesh.nav_lon, mesh.nav_lat, land[:-1,:-1], cmap='BuGn_r')\n",
    "direct = Path('/data/sallen/results/MIDOSS/beaching_files/')\n",
    "for file in direct.glob('*'):\n",
    "    data = xr.open_dataset(file)\n",
    "#    month = data.Spilldatetime.values.astype('datetime64[M]').astype(int) % 12\n",
    "    if (np.ma.masked_array(data.Beaching_Volume, mask=data.Beaching_Volume < minoil/1000.) * \n",
    "        mymask[1:-1, 1:-1]).sum(axis=0).sum(axis=0) > 0 :\n",
    "        \n",
    "        axs[1].scatter(data.SpillLon, data.SpillLat, marker='o', c=colours[data.OilType.item()], \n",
    "                   s=np.log(1000*data.SpillVolume.item())*scale,\n",
    "               edgecolors='k', zorder=3)\n",
    "        scount = scount + 1\n",
    "    else:\n",
    "        axs[0].scatter(data.SpillLon, data.SpillLat, marker='x', c=colours[data.OilType.item()], \n",
    "                   s=np.log(1000*data.SpillVolume.item())*scale)\n",
    "        ncount = ncount + 1\n",
    "        \n",
    "    data.close()\n",
    "for ax in axs:\n",
    "    ax.set_xlim(-123.6, -122.35)\n",
    "    ax.set_ylim(48.35, 49.4)\n",
    "    ax.plot([mesh.nav_lon[imin, jmin], mesh.nav_lon[imin, jmax], mesh.nav_lon[imax, jmax], \n",
    "             mesh.nav_lon[imax, jmin], mesh.nav_lon[imin, jmin]],\n",
    "            [mesh.nav_lat[imin, jmin], mesh.nav_lat[imin, jmax], mesh.nav_lat[imax, jmax], \n",
    "             mesh.nav_lat[imax, jmin], mesh.nav_lat[imin, jmin]],\n",
    "            color='orange')\n",
    "    viz_tools.set_aspect(ax, coords='map');\n",
    "axs[0].set_title(f'{ncount} Spills that do *not* Result in Oil on Coastline in Orange Box')\n",
    "axs[1].set_title(f'{scount} Spills that do Result in Oil on Coastline in Orange Box');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "896c58d7-ff88-4f19-8efa-d79f750d793e",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:          (grid_x: 396, grid_y: 896)\n",
       "Coordinates:\n",
       "  * grid_y           (grid_y) int16 0 1 2 3 4 5 6 ... 890 891 892 893 894 895\n",
       "  * grid_x           (grid_x) int16 0 1 2 3 4 5 6 ... 390 391 392 393 394 395\n",
       "Data variables:\n",
       "    Beaching_Volume  (grid_y, grid_x) float64 ...\n",
       "    Beaching_Time    (grid_y, grid_x) datetime64[ns] ...\n",
       "    OilType          &lt;U1 &#x27;&#x27;\n",
       "    SpillVolume      float64 6.89e+03\n",
       "    SpillLon         float64 -122.8\n",
       "    SpillLat         float64 48.75\n",
       "    Spilldatetime    datetime64[ns] 2017-06-13T05:30:00\n",
       "Attributes:\n",
       "    acknowledgements:      MOHID output\n",
       "    creator_email:         sallen@eoas.ubc.ca\n",
       "    creator_name:          Salish Sea MEOPAR Project Contributors\n",
       "    creator_url:           https://ubc-moad-docs.readthedocs.org/\n",
       "    institution:           UBC EOAS\n",
       "    institution_fullname:  Earth, Ocean &amp; Atmospheric Sciences, University of...\n",
       "    summary:               Beaching Time and Volume from a Specific Run\n",
       "    source:                analysis-susan/notebooks/MOHID/SaveBeaching.py\n",
       "    history:               [2022-04-21] File creation.</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-389f6a51-4d2e-4ae0-8205-1129c09d031f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-389f6a51-4d2e-4ae0-8205-1129c09d031f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>grid_x</span>: 396</li><li><span class='xr-has-index'>grid_y</span>: 896</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f13e7acd-1370-481c-9d6a-7900910cbf53' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f13e7acd-1370-481c-9d6a-7900910cbf53' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>grid_y</span></div><div class='xr-var-dims'>(grid_y)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 891 892 893 894 895</div><input id='attrs-4cfc1c77-85f3-44c8-8b9c-70ac73d81e8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4cfc1c77-85f3-44c8-8b9c-70ac73d81e8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-951ac81d-4fc5-46fb-b7c8-e770fb58c318' class='xr-var-data-in' type='checkbox'><label for='data-951ac81d-4fc5-46fb-b7c8-e770fb58c318' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>model_y_index</dd><dt><span>long_name :</span></dt><dd>y index</dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 893, 894, 895], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>grid_x</span></div><div class='xr-var-dims'>(grid_x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 391 392 393 394 395</div><input id='attrs-840d8974-5538-4745-8886-1b82e9fdb09c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-840d8974-5538-4745-8886-1b82e9fdb09c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fde9190-ad60-4870-ac8a-637be96a1fb4' class='xr-var-data-in' type='checkbox'><label for='data-1fde9190-ad60-4870-ac8a-637be96a1fb4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>model_x_index</dd><dt><span>long_name :</span></dt><dd>x index</dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 393, 394, 395], dtype=int16)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8cb55f07-4b68-4644-b431-1e803ed3c122' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8cb55f07-4b68-4644-b431-1e803ed3c122' class='xr-section-summary' >Data variables: <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>Beaching_Volume</span></div><div class='xr-var-dims'>(grid_y, grid_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-27f4127a-df6f-46c0-9133-2ab4ff649f6a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27f4127a-df6f-46c0-9133-2ab4ff649f6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7cb7113-0711-42e3-8281-68b76252e57e' class='xr-var-data-in' type='checkbox'><label for='data-a7cb7113-0711-42e3-8281-68b76252e57e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>Beaching_Volume</dd><dt><span>long_name :</span></dt><dd>Beaching Volume</dd><dt><span>units :</span></dt><dd>m3</dd></dl></div><div class='xr-var-data'><pre>[354816 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Beaching_Time</span></div><div class='xr-var-dims'>(grid_y, grid_x)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d16af669-6258-4609-92cd-df42f1429afe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d16af669-6258-4609-92cd-df42f1429afe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd0b7226-6885-4ff7-8d7c-e68794301196' class='xr-var-data-in' type='checkbox'><label for='data-fd0b7226-6885-4ff7-8d7c-e68794301196' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>Beaching_Time</dd><dt><span>long_name :</span></dt><dd>Beaching Time</dd></dl></div><div class='xr-var-data'><pre>[354816 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>OilType</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-29f40f74-4f25-4daa-ac89-244ffbfbef7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29f40f74-4f25-4daa-ac89-244ffbfbef7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eed4cef8-ab0e-419c-ad60-c13a65856c0b' class='xr-var-data-in' type='checkbox'><label for='data-eed4cef8-ab0e-419c-ad60-c13a65856c0b' title='Show/Hide data repr'><svg 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>None</dd><dt><span>long_name :</span></dt><dd>Type of oil spilled and run</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;&#x27;, dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SpillVolume</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-e9cddad8-8eec-46b4-b84c-c55eb4e4c6d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9cddad8-8eec-46b4-b84c-c55eb4e4c6d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e175677-ce2c-4e7b-93bf-30cc748c4c5e' class='xr-var-data-in' type='checkbox'><label for='data-0e175677-ce2c-4e7b-93bf-30cc748c4c5e' title='Show/Hide data repr'><svg 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>m3</dd><dt><span>long_name :</span></dt><dd>Volume of oil initially spilled</dd></dl></div><div class='xr-var-data'><pre>array(6890.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SpillLon</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-7d842fd4-d335-4e9a-bc3d-f2c6c631601b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7d842fd4-d335-4e9a-bc3d-f2c6c631601b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0adea28f-89fb-4c50-85d4-6f1c99f70355' class='xr-var-data-in' type='checkbox'><label for='data-0adea28f-89fb-4c50-85d4-6f1c99f70355' title='Show/Hide data 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(-122.750926)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SpillLat</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-49325e19-298c-4f4a-8130-06803dff140a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-49325e19-298c-4f4a-8130-06803dff140a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d437696-7d8a-4751-8dd0-0600b08768f1' class='xr-var-data-in' type='checkbox'><label for='data-8d437696-7d8a-4751-8dd0-0600b08768f1' title='Show/Hide data 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(48.754464)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Spilldatetime</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-1d81b04d-d2e7-48a2-a07f-9bf197627083' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d81b04d-d2e7-48a2-a07f-9bf197627083' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83cae60a-922a-4391-b446-8bd14162c1d7' class='xr-var-data-in' type='checkbox'><label for='data-83cae60a-922a-4391-b446-8bd14162c1d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Date and time of Oil Spill</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2017-06-13T05:30:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-673b1a71-7756-4a32-be2d-516878052a62' class='xr-section-summary-in' type='checkbox'  checked><label for='section-673b1a71-7756-4a32-be2d-516878052a62' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>acknowledgements :</span></dt><dd>MOHID output</dd><dt><span>creator_email :</span></dt><dd>sallen@eoas.ubc.ca</dd><dt><span>creator_name :</span></dt><dd>Salish Sea MEOPAR Project Contributors</dd><dt><span>creator_url :</span></dt><dd>https://ubc-moad-docs.readthedocs.org/</dd><dt><span>institution :</span></dt><dd>UBC EOAS</dd><dt><span>institution_fullname :</span></dt><dd>Earth, Ocean &amp; Atmospheric Sciences, University of British Columbia</dd><dt><span>summary :</span></dt><dd>Beaching Time and Volume from a Specific Run</dd><dt><span>source :</span></dt><dd>analysis-susan/notebooks/MOHID/SaveBeaching.py</dd><dt><span>history :</span></dt><dd>[2022-04-21] File creation.</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:          (grid_x: 396, grid_y: 896)\n",
       "Coordinates:\n",
       "  * grid_y           (grid_y) int16 0 1 2 3 4 5 6 ... 890 891 892 893 894 895\n",
       "  * grid_x           (grid_x) int16 0 1 2 3 4 5 6 ... 390 391 392 393 394 395\n",
       "Data variables:\n",
       "    Beaching_Volume  (grid_y, grid_x) float64 ...\n",
       "    Beaching_Time    (grid_y, grid_x) datetime64[ns] ...\n",
       "    OilType          object ...\n",
       "    SpillVolume      float64 ...\n",
       "    SpillLon         float64 ...\n",
       "    SpillLat         float64 ...\n",
       "    Spilldatetime    datetime64[ns] ...\n",
       "Attributes:\n",
       "    acknowledgements:      MOHID output\n",
       "    creator_email:         sallen@eoas.ubc.ca\n",
       "    creator_name:          Salish Sea MEOPAR Project Contributors\n",
       "    creator_url:           https://ubc-moad-docs.readthedocs.org/\n",
       "    institution:           UBC EOAS\n",
       "    institution_fullname:  Earth, Ocean & Atmospheric Sciences, University of...\n",
       "    summary:               Beaching Time and Volume from a Specific Run\n",
       "    source:                analysis-susan/notebooks/MOHID/SaveBeaching.py\n",
       "    history:               [2022-04-21] File creation."
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "196b8fde-91f4-402e-b025-08ac5526da77",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2017-07-04T09:30:00.000000000')"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mydate = data.Spilldatetime.values\n",
    "mydate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "id": "d2e4c5a4-96b8-4361-8d43-acd522ec8e38",
   "metadata": {},
   "outputs": [
    {
     "ename": "OSError",
     "evalue": "[Errno 75] Value too large for defined data type",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mOSError\u001b[0m                                   Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-168-1bac75e62b4b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdatetime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfromtimestamp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmydate\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mOSError\u001b[0m: [Errno 75] Value too large for defined data type"
     ]
    }
   ],
   "source": [
    "dt.datetime.fromtimestamp(mydate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "id": "2868c140-fc6f-4c10-9142-e097cf53ce04",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7"
      ]
     },
     "execution_count": 175,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.Spilldatetime.values.astype('datetime64[M]').astype(int) % 12 + 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "id": "c636ce2a-f7fc-4baa-9e00-c110b50401b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "months"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5dda706a-084c-44de-abf2-5fe3f0718f3e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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