{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# June 26, 2016 in Hindcast 202007F \n",
    "\n",
    "on 83rd time step goes NaN (physics) 84th (biology)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "gT = xr.open_dataset('/home/sallen/202007/202007F/SalishSea_1h_20160626_20160630_grid_T_20160626-20160626.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f69404db760>"
      ]
     },
     "execution_count": 3,
     "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": [
    "gT.votemper[0, 0].plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "gU = xr.open_dataset('/home/sallen/202007/202007F/SalishSea_1h_20160626_20160630_grid_U_20160626-20160626.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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": [
    "gU.vozocrtx[0, 0].plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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": [
    "gT.vosaline[0, 4, 700:900, 0:250].plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So we have NaN about 100 grid points from the boundary.  That is 100 barotropic grid points or about 5 baroclinic time steps.  We'd expect that on time step 90 we would see 7*20: about 140 grid cells impacts.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "gT.sossheig[0].plot(vmax=1, vmin=-1, cmap='plasma');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### However,\n",
    "\n",
    "We note that the lowR run went unstable on the first time step for 21Jul15 and that the maximum velocity at the first time step here is 15.2 m/s.  Things appear to have calmed down before the instability above, but a smooth restart might easily solve this problem.\n",
    "\n",
    "Note that I originally thought the dates matched but they are 11 months out.  Also lowR is western boundary, this is northern boundary.  So not clear that this is a starting boundary problem."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rivers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "rivers = xr.open_dataset('/home/sallen/MEOPAR/Tools/I_ForcingFiles/Rivers/ncfiles/R202102Dailies_y2016m06d26.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:       (time_counter: 1, x: 398, y: 898)\n",
       "Coordinates:\n",
       "  * x             (x) int64 0 1 2 3 4 5 6 7 ... 390 391 392 393 394 395 396 397\n",
       "  * y             (y) int64 0 1 2 3 4 5 6 7 ... 890 891 892 893 894 895 896 897\n",
       "  * time_counter  (time_counter) int64 0\n",
       "Data variables:\n",
       "    rorunoff      (time_counter, y, x) float64 ...\n",
       "Attributes:\n",
       "    acknowledgements:      Based on river fit\n",
       "    creator_email:         sallen@eoas.ubc.ca\n",
       "    creator_name:          Salish Sea MEOPAR Project Contributors\n",
       "    creator_url:           https://salishsea-meopar-docs.readthedocs.org/\n",
       "    institution:           UBC EOAS\n",
       "    institution_fullname:  Earth, Ocean &amp; Atmospheric Sciences, University of...\n",
       "    title:                 Rivers for y2016m06d26\n",
       "    notebook:              MakeDailyRiverNCfiles.ipynb\n",
       "    rivers_base:           river_202101\n",
       "    summary:               Daily Runoff\n",
       "    history:               [2021-02-02] 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-93beb64b-194b-46df-96f2-25d590fd8540' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-93beb64b-194b-46df-96f2-25d590fd8540' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time_counter</span>: 1</li><li><span class='xr-has-index'>x</span>: 398</li><li><span class='xr-has-index'>y</span>: 898</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-421a2994-8e12-4b8f-870e-01f4ead2e594' class='xr-section-summary-in' type='checkbox'  checked><label for='section-421a2994-8e12-4b8f-870e-01f4ead2e594' class='xr-section-summary' >Coordinates: <span>(3)</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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 393 394 395 396 397</div><input id='attrs-5b00ec4e-b458-4986-9f3c-240383ff4517' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5b00ec4e-b458-4986-9f3c-240383ff4517' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-504cf9b6-1570-4a30-a026-7f8c46420572' class='xr-var-data-in' type='checkbox'><label for='data-504cf9b6-1570-4a30-a026-7f8c46420572' title='Show/Hide data 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([  0,   1,   2, ..., 395, 396, 397])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 893 894 895 896 897</div><input id='attrs-f11906f5-cb79-4ee1-92db-64e781417f25' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f11906f5-cb79-4ee1-92db-64e781417f25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1bedeba6-ad0b-472b-acc9-a76b5332fcee' class='xr-var-data-in' type='checkbox'><label for='data-1bedeba6-ad0b-472b-acc9-a76b5332fcee' title='Show/Hide data 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([  0,   1,   2, ..., 895, 896, 897])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time_counter</span></div><div class='xr-var-dims'>(time_counter)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-95127584-b367-43d1-aeda-a3d85d4bfe19' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-95127584-b367-43d1-aeda-a3d85d4bfe19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e008c55-db2a-443f-af52-bbfc728ae020' class='xr-var-data-in' type='checkbox'><label for='data-4e008c55-db2a-443f-af52-bbfc728ae020' title='Show/Hide data 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([0])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cceaff10-069e-470c-a5ed-85e68d7e8170' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cceaff10-069e-470c-a5ed-85e68d7e8170' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>rorunoff</span></div><div class='xr-var-dims'>(time_counter, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7aa7df73-ab69-4ccf-9f23-cc09640a7a0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7aa7df73-ab69-4ccf-9f23-cc09640a7a0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5621dc8d-5017-4565-a85e-716d285a19e7' class='xr-var-data-in' type='checkbox'><label for='data-5621dc8d-5017-4565-a85e-716d285a19e7' title='Show/Hide data repr'><svg 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>kg m-2 s-1</dd><dt><span>long_name :</span></dt><dd>runoff_flux</dd></dl></div><div class='xr-var-data'><pre>[357404 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-742e1588-32a1-4e54-bf16-f5fe35682dcb' class='xr-section-summary-in' type='checkbox'  ><label for='section-742e1588-32a1-4e54-bf16-f5fe35682dcb' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>acknowledgements :</span></dt><dd>Based on river fit</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://salishsea-meopar-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>title :</span></dt><dd>Rivers for y2016m06d26</dd><dt><span>notebook :</span></dt><dd>MakeDailyRiverNCfiles.ipynb</dd><dt><span>rivers_base :</span></dt><dd>river_202101</dd><dt><span>summary :</span></dt><dd>Daily Runoff</dd><dt><span>history :</span></dt><dd>[2021-02-02] File creation.</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:       (time_counter: 1, x: 398, y: 898)\n",
       "Coordinates:\n",
       "  * x             (x) int64 0 1 2 3 4 5 6 7 ... 390 391 392 393 394 395 396 397\n",
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       "Attributes:\n",
       "    acknowledgements:      Based on river fit\n",
       "    creator_email:         sallen@eoas.ubc.ca\n",
       "    creator_name:          Salish Sea MEOPAR Project Contributors\n",
       "    creator_url:           https://salishsea-meopar-docs.readthedocs.org/\n",
       "    institution:           UBC EOAS\n",
       "    institution_fullname:  Earth, Ocean & Atmospheric Sciences, University of...\n",
       "    title:                 Rivers for y2016m06d26\n",
       "    notebook:              MakeDailyRiverNCfiles.ipynb\n",
       "    rivers_base:           river_202101\n",
       "    summary:               Daily Runoff\n",
       "    history:               [2021-02-02] File creation."
      ]
     },
     "execution_count": 17,
     "metadata": {},
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   ],
   "source": [
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  },
  {
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       "\n",
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       "  font-weight: normal;\n",
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       "\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;rorunoff&#x27; ()&gt;\n",
       "array(24.70158577)</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'rorunoff'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1e28f887-e76d-475a-8a82-6e838417469d' class='xr-array-in' type='checkbox' checked><label for='section-1e28f887-e76d-475a-8a82-6e838417469d' 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>24.7</span></div><div class='xr-array-data'><pre>array(24.70158577)</pre></div></div></li><li class='xr-section-item'><input id='section-3a1bdc0f-445b-42b0-bdd3-cb36b3d0889d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3a1bdc0f-445b-42b0-bdd3-cb36b3d0889d' 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-92809fd9-e546-4761-af13-7c9109e9c57e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-92809fd9-e546-4761-af13-7c9109e9c57e' 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 'rorunoff' ()>\n",
       "array(24.70158577)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rivers.rorunoff.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
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       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;rorunoff&#x27; ()&gt;\n",
       "array(0.)</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'rorunoff'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b779f887-0e3c-48f0-8777-44ac5fb530a6' class='xr-array-in' type='checkbox' checked><label for='section-b779f887-0e3c-48f0-8777-44ac5fb530a6' 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>0.0</span></div><div class='xr-array-data'><pre>array(0.)</pre></div></div></li><li class='xr-section-item'><input id='section-b7cbbfd3-9617-47ce-a40e-e6e2323c5ddf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b7cbbfd3-9617-47ce-a40e-e6e2323c5ddf' 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-9c9a828f-3716-4761-bd5d-c8f9284db004' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9c9a828f-3716-4761-bd5d-c8f9284db004' 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 'rorunoff' ()>\n",
       "array(0.)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rivers.rorunoff.min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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": [
    "rivers.rorunoff[0, 800:, 50:150].plot(cmap='gist_ncar_r');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "sshb = xr.open_dataset('/results/forcing/sshNeahBay/obs/ssh_y2016m06d25.nc')\n",
    "ssh = xr.open_dataset('/results/forcing/sshNeahBay/obs/ssh_y2016m06d26.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:       (time_counter: 24, xbT: 100, yb: 1)\n",
       "Coordinates:\n",
       "  * time_counter  (time_counter) datetime64[ns] 2016-06-26T01:00:00 ... 2016-...\n",
       "  * xbT           (xbT) int64 0 1 2 3 4 5 6 7 8 9 ... 91 92 93 94 95 96 97 98 99\n",
       "  * yb            (yb) int64 0\n",
       "Data variables:\n",
       "    nbidta        (yb, xbT) int64 0 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0 0 0\n",
       "    nbjdta        (yb, xbT) int64 371 372 373 374 375 ... 466 467 468 469 470\n",
       "    nbrdta        (yb, xbT) int64 0 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0 0 0\n",
       "    sossheig      (time_counter, yb, xbT) float64 -0.2634 -0.2634 ... -0.2572\n",
       "    vobtcrtx      (time_counter, yb, xbT) float64 0.0 0.0 0.0 ... 0.0 0.0 0.0\n",
       "    vobtcrty      (time_counter, yb, xbT) float64 0.0 0.0 0.0 ... 0.0 0.0 0.0\n",
       "Attributes:\n",
       "    Conventions:  CF-1.6\n",
       "    title:        Juan de Fuca SSH hourly values\n",
       "    institution:  Dept of Earth, Ocean &amp; Atmospheric Sciences, University of ...\n",
       "    source:       REQUIRED\n",
       "    references:   REQUIRED\n",
       "    history:      Mon Mar 12 08:05:16 2018: ncks -O --mk_rec_dmn time_counter...\n",
       "    comment:      Neah Bay observed anomaly. Done in hindcast.\n",
       "    NCO:          4.4.2</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-f5cf3eb9-b332-4210-8c29-1df21f04248c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f5cf3eb9-b332-4210-8c29-1df21f04248c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time_counter</span>: 24</li><li><span class='xr-has-index'>xbT</span>: 100</li><li><span class='xr-has-index'>yb</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e3a37044-91b1-4da9-9461-b295aad4ebde' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e3a37044-91b1-4da9-9461-b295aad4ebde' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time_counter</span></div><div class='xr-var-dims'>(time_counter)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2016-06-26T01:00:00 ... 2016-06-27</div><input id='attrs-99723bdb-1345-4860-8ca0-0bbf45c961f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99723bdb-1345-4860-8ca0-0bbf45c961f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5bfbb34-b0b1-4238-b9e5-cb955cf58179' class='xr-var-data-in' type='checkbox'><label for='data-b5bfbb34-b0b1-4238-b9e5-cb955cf58179' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time axis</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2016-06-26T01:00:00.000000000&#x27;, &#x27;2016-06-26T02:00:00.000000000&#x27;,\n",
       "       &#x27;2016-06-26T03:00:00.000000000&#x27;, &#x27;2016-06-26T04:00:00.000000000&#x27;,\n",
       "       &#x27;2016-06-26T05:00:00.000000000&#x27;, &#x27;2016-06-26T06:00:00.000000000&#x27;,\n",
       "       &#x27;2016-06-26T07:00:00.000000000&#x27;, &#x27;2016-06-26T08:00:00.000000000&#x27;,\n",
       "       &#x27;2016-06-26T09:00:00.000000000&#x27;, &#x27;2016-06-26T10:00:00.000000000&#x27;,\n",
       "       &#x27;2016-06-26T11:00:00.000000000&#x27;, &#x27;2016-06-26T12:00:00.000000000&#x27;,\n",
       "       &#x27;2016-06-26T13:00:00.000000000&#x27;, &#x27;2016-06-26T14:00:00.000000000&#x27;,\n",
       "       &#x27;2016-06-26T15:00:00.000000000&#x27;, &#x27;2016-06-26T16:00:00.000000000&#x27;,\n",
       "       &#x27;2016-06-26T17:00:00.000000000&#x27;, &#x27;2016-06-26T18:00:00.000000000&#x27;,\n",
       "       &#x27;2016-06-26T19:00:00.000000000&#x27;, &#x27;2016-06-26T20:00:00.000000000&#x27;,\n",
       "       &#x27;2016-06-26T21:00:00.000000000&#x27;, &#x27;2016-06-26T22:00:00.000000000&#x27;,\n",
       "       &#x27;2016-06-26T23:00:00.000000000&#x27;, &#x27;2016-06-27T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xbT</span></div><div class='xr-var-dims'>(xbT)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 94 95 96 97 98 99</div><input id='attrs-06d18917-6145-4b34-bf6a-fc5d4cf81336' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-06d18917-6145-4b34-bf6a-fc5d4cf81336' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24f8eda3-4e2c-4745-a1d9-0973982c1b2c' class='xr-var-data-in' type='checkbox'><label for='data-24f8eda3-4e2c-4745-a1d9-0973982c1b2c' title='Show/Hide data 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([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89,\n",
       "       90, 91, 92, 93, 94, 95, 96, 97, 98, 99])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yb</span></div><div class='xr-var-dims'>(yb)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-3275201b-8d7b-4cfd-a070-01c7a806ab25' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3275201b-8d7b-4cfd-a070-01c7a806ab25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9895de0-7523-4b5b-a013-cd281fdc79fa' class='xr-var-data-in' type='checkbox'><label for='data-b9895de0-7523-4b5b-a013-cd281fdc79fa' title='Show/Hide data 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([0])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d9fcd9c4-d165-4cbd-9201-1683e6e13722' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d9fcd9c4-d165-4cbd-9201-1683e6e13722' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>nbidta</span></div><div class='xr-var-dims'>(yb, xbT)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e5cd3661-2ccf-44aa-9d08-7283338ae444' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e5cd3661-2ccf-44aa-9d08-7283338ae444' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2924d88e-8c7c-46b4-bf35-a06209679316' class='xr-var-data-in' type='checkbox'><label for='data-2924d88e-8c7c-46b4-bf35-a06209679316' title='Show/Hide data 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([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "        0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "        0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "        0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "        0, 0, 0, 0, 0, 0, 0, 0]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbjdta</span></div><div class='xr-var-dims'>(yb, xbT)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fc3fed9a-456c-48ab-b834-82e970d13198' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fc3fed9a-456c-48ab-b834-82e970d13198' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd8aa49d-d3d7-4b47-81bb-ff5a3eaa14b7' class='xr-var-data-in' type='checkbox'><label for='data-cd8aa49d-d3d7-4b47-81bb-ff5a3eaa14b7' title='Show/Hide data 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([[371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384,\n",
       "        385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398,\n",
       "        399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412,\n",
       "        413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426,\n",
       "        427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440,\n",
       "        441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454,\n",
       "        455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468,\n",
       "        469, 470]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbrdta</span></div><div class='xr-var-dims'>(yb, xbT)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-235a6626-5231-4824-9ff7-12b781f01360' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-235a6626-5231-4824-9ff7-12b781f01360' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc206cfe-6c96-45bd-8175-e40ed73c23d9' class='xr-var-data-in' type='checkbox'><label for='data-cc206cfe-6c96-45bd-8175-e40ed73c23d9' title='Show/Hide data 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([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "        0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "        0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "        0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "        0, 0, 0, 0, 0, 0, 0, 0]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sossheig</span></div><div class='xr-var-dims'>(time_counter, yb, xbT)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4c373c51-1cd1-48e8-a9c6-efb97d64b4d8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4c373c51-1cd1-48e8-a9c6-efb97d64b4d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3cb6560-9026-412f-9a00-1042c2acf6bc' class='xr-var-data-in' type='checkbox'><label for='data-c3cb6560-9026-412f-9a00-1042c2acf6bc' title='Show/Hide data 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([[[-0.263449, -0.263449, ..., -0.263449, -0.263449]],\n",
       "\n",
       "       [[-0.23731 , -0.23731 , ..., -0.23731 , -0.23731 ]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[-0.242872, -0.242872, ..., -0.242872, -0.242872]],\n",
       "\n",
       "       [[-0.257177, -0.257177, ..., -0.257177, -0.257177]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vobtcrtx</span></div><div class='xr-var-dims'>(time_counter, yb, xbT)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d4eeecb2-3ef6-4ac2-9331-307f285625eb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d4eeecb2-3ef6-4ac2-9331-307f285625eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65d81c0e-6722-4e7e-9fd2-4329f72f43ef' class='xr-var-data-in' type='checkbox'><label for='data-65d81c0e-6722-4e7e-9fd2-4329f72f43ef' title='Show/Hide data 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([[[0., 0., ..., 0., 0.]],\n",
       "\n",
       "       [[0., 0., ..., 0., 0.]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[0., 0., ..., 0., 0.]],\n",
       "\n",
       "       [[0., 0., ..., 0., 0.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vobtcrty</span></div><div class='xr-var-dims'>(time_counter, yb, xbT)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0c69a270-ee7a-4753-98b3-1bc3ac93f34b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0c69a270-ee7a-4753-98b3-1bc3ac93f34b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08ea1788-f36c-4e5b-9106-5c47b9a1931b' class='xr-var-data-in' type='checkbox'><label for='data-08ea1788-f36c-4e5b-9106-5c47b9a1931b' title='Show/Hide data 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([[[0., 0., ..., 0., 0.]],\n",
       "\n",
       "       [[0., 0., ..., 0., 0.]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[0., 0., ..., 0., 0.]],\n",
       "\n",
       "       [[0., 0., ..., 0., 0.]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8771da02-31c7-405a-8989-88e4b7964297' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8771da02-31c7-405a-8989-88e4b7964297' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>title :</span></dt><dd>Juan de Fuca SSH hourly values</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>REQUIRED</dd><dt><span>references :</span></dt><dd>REQUIRED</dd><dt><span>history :</span></dt><dd>Mon Mar 12 08:05:16 2018: ncks -O --mk_rec_dmn time_counter /results/forcing/sshNeahBay/temp/ssh_y2016m06d26.nc /results/forcing/sshNeahBay/temp/ssh_y2016m06d26.nc\n",
       "[2018-03-12] Lengthened to 100 points. [2017-06-13 10:42:02] Created netCDF4 zlib=True dataset.</dd><dt><span>comment :</span></dt><dd>Neah Bay observed anomaly. Done in hindcast.</dd><dt><span>NCO :</span></dt><dd>4.4.2</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:       (time_counter: 24, xbT: 100, yb: 1)\n",
       "Coordinates:\n",
       "  * time_counter  (time_counter) datetime64[ns] 2016-06-26T01:00:00 ... 2016-...\n",
       "  * xbT           (xbT) int64 0 1 2 3 4 5 6 7 8 9 ... 91 92 93 94 95 96 97 98 99\n",
       "  * yb            (yb) int64 0\n",
       "Data variables:\n",
       "    nbidta        (yb, xbT) int64 ...\n",
       "    nbjdta        (yb, xbT) int64 ...\n",
       "    nbrdta        (yb, xbT) int64 ...\n",
       "    sossheig      (time_counter, yb, xbT) float64 ...\n",
       "    vobtcrtx      (time_counter, yb, xbT) float64 ...\n",
       "    vobtcrty      (time_counter, yb, xbT) float64 ...\n",
       "Attributes:\n",
       "    Conventions:  CF-1.6\n",
       "    title:        Juan de Fuca SSH hourly values\n",
       "    institution:  Dept of Earth, Ocean & Atmospheric Sciences, University of ...\n",
       "    source:       REQUIRED\n",
       "    references:   REQUIRED\n",
       "    history:      Mon Mar 12 08:05:16 2018: ncks -O --mk_rec_dmn time_counter...\n",
       "    comment:      Neah Bay observed anomaly. Done in hindcast.\n",
       "    NCO:          4.4.2"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ssh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f69305d6760>]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ssh.sossheig[:, 0, 40].plot()\n",
    "sshb.sossheig[:, 0, 40].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Whatever, smooth the boundary conditions and see if that works (if not add the NaN code)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<defs>\n",
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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:\n",
       "    nav_lon       (y, x) float32 ...\n",
       "    nav_lat       (y, x) float32 ...\n",
       "    nav_lev       (z) float32 0.5 1.5 2.5 3.5 4.5 ... 360.7 387.6 414.5 441.5\n",
       "    time_counter  (t) float64 4.324e+06\n",
       "    kt            float64 4.324e+06\n",
       "    ndastp        float64 2.016e+07\n",
       "    adatrj        float64 2.002e+03\n",
       "    ssh_ibb       (t, y, x) float64 ...\n",
       "    rnf_b         (t, y, x) float64 ...\n",
       "    rnf_hc_b      (t, y, x) float64 ...\n",
       "    rnf_sc_b      (t, y, x) float64 ...\n",
       "    utau_b        (t, y, x) float64 ...\n",
       "    vtau_b        (t, y, x) float64 ...\n",
       "    qns_b         (t, y, x) float64 ...\n",
       "    emp_b         (t, y, x) float64 ...\n",
       "    sfx_b         (t, y, x) float64 ...\n",
       "    en            (t, z, y, x) float64 ...\n",
       "    avt           (t, z, y, x) float64 ...\n",
       "    avm           (t, z, y, x) float64 ...\n",
       "    avmu          (t, z, y, x) float64 ...\n",
       "    avmv          (t, z, y, x) float64 ...\n",
       "    mxln          (t, z, y, x) float64 ...\n",
       "    ub2_b         (t, y, x) float64 ...\n",
       "    vb2_b         (t, y, x) float64 ...\n",
       "    sbc_hc_b      (t, y, x) float64 ...\n",
       "    sbc_sc_b      (t, y, x) float64 ...\n",
       "    qsr_hc_b      (t, z, y, x) float64 ...\n",
       "    fraqsr_1lev   (t, y, x) float64 ...\n",
       "    fse3t_b       (t, z, y, x) float64 ...\n",
       "    fse3t_n       (t, z, y, x) float64 ...\n",
       "    rdt           float64 40.0\n",
       "    rdttra1       float64 40.0\n",
       "    ub            (t, z, y, x) float64 ...\n",
       "    vb            (t, z, y, x) float64 ...\n",
       "    tb            (t, z, y, x) float64 ...\n",
       "    sb            (t, z, y, x) float64 ...\n",
       "    rotb          (t, z, y, x) float64 ...\n",
       "    hdivb         (t, z, y, x) float64 ...\n",
       "    sshb          (t, y, x) float64 ...\n",
       "    un            (t, z, y, x) float64 ...\n",
       "    vn            (t, z, y, x) float64 ...\n",
       "    tn            (t, z, y, x) float64 ...\n",
       "    sn            (t, z, y, x) float64 ...\n",
       "    rotn          (t, z, y, x) float64 ...\n",
       "    hdivn         (t, z, y, x) float64 ...\n",
       "    sshn          (t, y, x) float64 ...\n",
       "    rhop          (t, z, y, x) float64 ...\n",
       "Attributes:\n",
       "    file_name:  SalishSea_04324320_restart.nc\n",
       "    TimeStamp:  21/03/2021 02:40:06 -0700</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-572529fa-b4bb-41a6-a2e1-ab8b473b3e54' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-572529fa-b4bb-41a6-a2e1-ab8b473b3e54' 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-268106ec-f304-4e44-95bf-c369104c76d1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-268106ec-f304-4e44-95bf-c369104c76d1' 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-b4ce1c21-1d5c-46b2-94a1-689fd253a2a1' class='xr-section-summary-in' type='checkbox'  ><label for='section-b4ce1c21-1d5c-46b2-94a1-689fd253a2a1' class='xr-section-summary' >Data variables: <span>(47)</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-c4be2a85-f755-47e5-b7ee-e33e42c741db' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c4be2a85-f755-47e5-b7ee-e33e42c741db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af814818-85c1-4b85-9af5-7a6fc3d73701' class='xr-var-data-in' type='checkbox'><label for='data-af814818-85c1-4b85-9af5-7a6fc3d73701' title='Show/Hide data 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>[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-880d0256-760f-4c1f-8372-e831d134aec5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-880d0256-760f-4c1f-8372-e831d134aec5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c17a85d-2271-4c16-a480-ba3b3bca244d' class='xr-var-data-in' type='checkbox'><label for='data-1c17a85d-2271-4c16-a480-ba3b3bca244d' title='Show/Hide data 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>[357404 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nav_lev</span></div><div class='xr-var-dims'>(z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a9c8de01-2c05-40c3-847d-450d07233bba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a9c8de01-2c05-40c3-847d-450d07233bba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6bee7849-4cb6-4192-aed7-4eb00169f6a0' class='xr-var-data-in' type='checkbox'><label for='data-6bee7849-4cb6-4192-aed7-4eb00169f6a0' title='Show/Hide data 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([  0.5     ,   1.500003,   2.500011,   3.500031,   4.500071,   5.500151,\n",
       "         6.50031 ,   7.500623,   8.501236,   9.502433,  10.504766,  11.509312,\n",
       "        12.518167,  13.535412,  14.568982,  15.634288,  16.761173,  18.007135,\n",
       "        19.481785,  21.389978,  24.100256,  28.229916,  34.685757,  44.517723,\n",
       "        58.484333,  76.58559 ,  98.06296 , 121.866516, 147.08946 , 173.11449 ,\n",
       "       199.57304 , 226.2603  , 253.06664 , 279.93454 , 306.8342  , 333.75018 ,\n",
       "       360.67453 , 387.6032  , 414.5341  , 441.4661  ], 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'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-185d4ef3-69ea-45a5-ac20-9aab9960c007' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-185d4ef3-69ea-45a5-ac20-9aab9960c007' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-062a147b-03df-40d3-81c8-fff270bf806f' class='xr-var-data-in' type='checkbox'><label for='data-062a147b-03df-40d3-81c8-fff270bf806f' title='Show/Hide data 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([4324320.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>kt</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-7547d454-c5f3-4cb5-82e1-38ff4e2912e9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7547d454-c5f3-4cb5-82e1-38ff4e2912e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3958a5d-7b56-493d-9541-be8dadeb4393' class='xr-var-data-in' type='checkbox'><label for='data-a3958a5d-7b56-493d-9541-be8dadeb4393' title='Show/Hide data 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(4324320.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ndastp</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-48444b33-edbf-4c26-9da0-185cc1113eea' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-48444b33-edbf-4c26-9da0-185cc1113eea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e1c06f7-cdca-4a46-ab29-bf8b42f600ad' class='xr-var-data-in' type='checkbox'><label for='data-2e1c06f7-cdca-4a46-ab29-bf8b42f600ad' title='Show/Hide data 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(20160625.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adatrj</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-94462580-772e-48be-b6b1-5434877525b5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-94462580-772e-48be-b6b1-5434877525b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3056f32b-49fd-4545-a34e-f3fdeece07cb' class='xr-var-data-in' type='checkbox'><label for='data-3056f32b-49fd-4545-a34e-f3fdeece07cb' title='Show/Hide data 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(2002.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_ibb</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-2c6f66fe-1349-4867-97fa-379b8adc978c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2c6f66fe-1349-4867-97fa-379b8adc978c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d8d10c1-8a50-4997-9f71-c88359d549ae' class='xr-var-data-in' type='checkbox'><label for='data-2d8d10c1-8a50-4997-9f71-c88359d549ae' title='Show/Hide data 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>[357404 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rnf_b</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-68163260-3c10-413d-89f2-ffc96307195e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-68163260-3c10-413d-89f2-ffc96307195e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b611adb-ac9b-4403-8d77-4cf5dd6a5bc0' class='xr-var-data-in' type='checkbox'><label for='data-6b611adb-ac9b-4403-8d77-4cf5dd6a5bc0' title='Show/Hide data 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>[357404 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rnf_hc_b</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-3f3f3ee3-b757-4c14-b510-67a2672458cf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3f3f3ee3-b757-4c14-b510-67a2672458cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50d4761a-82de-43d8-8fe5-c14e7f543f1a' class='xr-var-data-in' type='checkbox'><label for='data-50d4761a-82de-43d8-8fe5-c14e7f543f1a' title='Show/Hide data 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>[357404 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rnf_sc_b</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-4ef122c9-24dc-40cc-8254-55433c7c890a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4ef122c9-24dc-40cc-8254-55433c7c890a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d194e27-efae-4a7f-83ff-026022ece574' class='xr-var-data-in' type='checkbox'><label for='data-2d194e27-efae-4a7f-83ff-026022ece574' title='Show/Hide data 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>[357404 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>utau_b</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-0f06aa8e-6ec7-4d56-b6e4-a4843aa7dfe3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0f06aa8e-6ec7-4d56-b6e4-a4843aa7dfe3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66f8c01a-3a63-4cfb-9e84-5065d62ff4c0' class='xr-var-data-in' type='checkbox'><label for='data-66f8c01a-3a63-4cfb-9e84-5065d62ff4c0' title='Show/Hide data 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>[357404 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vtau_b</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-08a14b9c-b862-4e81-a5e6-499f96c47790' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-08a14b9c-b862-4e81-a5e6-499f96c47790' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-526d1b06-c0df-4360-bae4-f2e86886d951' class='xr-var-data-in' type='checkbox'><label for='data-526d1b06-c0df-4360-bae4-f2e86886d951' title='Show/Hide data 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>[357404 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qns_b</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-0da750e9-e405-47f4-8ab8-06cf1f136699' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0da750e9-e405-47f4-8ab8-06cf1f136699' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d602c83a-95e2-44cc-9532-8d0def96dcb1' class='xr-var-data-in' type='checkbox'><label for='data-d602c83a-95e2-44cc-9532-8d0def96dcb1' title='Show/Hide data 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>[357404 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>emp_b</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-94265498-a8ec-43f9-9cd9-fb58dcd6c90c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-94265498-a8ec-43f9-9cd9-fb58dcd6c90c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc2137ea-3400-46ff-89ad-ccd1f2df0be9' class='xr-var-data-in' type='checkbox'><label for='data-dc2137ea-3400-46ff-89ad-ccd1f2df0be9' title='Show/Hide data 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>[357404 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sfx_b</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-08c9d49f-269c-41ec-a3b8-ded3a88dfeb8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-08c9d49f-269c-41ec-a3b8-ded3a88dfeb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffa7df90-2ae7-4821-b311-d66ee64ddf4f' class='xr-var-data-in' type='checkbox'><label for='data-ffa7df90-2ae7-4821-b311-d66ee64ddf4f' title='Show/Hide data 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>[357404 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>en</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-022c2134-2e4b-4fe0-9f06-3a688cd141f2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-022c2134-2e4b-4fe0-9f06-3a688cd141f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d7c9fb6-dae3-455e-8587-c3f3dd6bb5d4' class='xr-var-data-in' type='checkbox'><label for='data-6d7c9fb6-dae3-455e-8587-c3f3dd6bb5d4' title='Show/Hide data 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>[14296160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>avt</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-41ff6375-ed97-4ff7-9ccb-3a416cf62512' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-41ff6375-ed97-4ff7-9ccb-3a416cf62512' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff56a0c0-ee91-45fa-a5aa-177877461550' class='xr-var-data-in' type='checkbox'><label for='data-ff56a0c0-ee91-45fa-a5aa-177877461550' title='Show/Hide data 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>[14296160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>avm</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-21aecdcc-8f6c-4a8c-a857-2934a5289a92' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-21aecdcc-8f6c-4a8c-a857-2934a5289a92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e44622cd-f6ae-4454-8d8e-aac03c182782' class='xr-var-data-in' type='checkbox'><label for='data-e44622cd-f6ae-4454-8d8e-aac03c182782' title='Show/Hide data 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>[14296160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>avmu</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-0b4a6758-544c-4787-a929-b6ad784dbbf7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0b4a6758-544c-4787-a929-b6ad784dbbf7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69b44a87-8ece-4174-81f5-546c2f9f72c5' class='xr-var-data-in' type='checkbox'><label for='data-69b44a87-8ece-4174-81f5-546c2f9f72c5' title='Show/Hide data 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>[14296160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>avmv</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-471bf3f9-3d46-4cac-84d1-29b60a4007d9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-471bf3f9-3d46-4cac-84d1-29b60a4007d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2aaf1afd-5487-45c2-813b-b0ffa260287a' class='xr-var-data-in' type='checkbox'><label for='data-2aaf1afd-5487-45c2-813b-b0ffa260287a' title='Show/Hide data 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>[14296160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mxln</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-20df6b0c-a241-4bf5-88a5-3d997739ac9c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-20df6b0c-a241-4bf5-88a5-3d997739ac9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e374df2-4671-4e9c-b050-956596a2adc6' class='xr-var-data-in' type='checkbox'><label for='data-2e374df2-4671-4e9c-b050-956596a2adc6' title='Show/Hide data 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>[14296160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ub2_b</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-d946f2eb-2f4d-4fe3-b419-de8857883d5b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d946f2eb-2f4d-4fe3-b419-de8857883d5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76fb09c1-1238-456f-a02e-76de391c5fef' class='xr-var-data-in' type='checkbox'><label for='data-76fb09c1-1238-456f-a02e-76de391c5fef' title='Show/Hide data 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>[357404 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vb2_b</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-c048f984-d676-4647-9260-3b5b7f2e31a7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c048f984-d676-4647-9260-3b5b7f2e31a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23854efd-8f1b-4b97-9e6b-fff0b35c3297' class='xr-var-data-in' type='checkbox'><label for='data-23854efd-8f1b-4b97-9e6b-fff0b35c3297' title='Show/Hide data 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>[357404 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sbc_hc_b</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-fddf7762-f152-4565-8913-a9a8e1c034d8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fddf7762-f152-4565-8913-a9a8e1c034d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e81bde16-5bde-418c-9145-8cf0e5fe9e08' class='xr-var-data-in' type='checkbox'><label for='data-e81bde16-5bde-418c-9145-8cf0e5fe9e08' title='Show/Hide data 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>[357404 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sbc_sc_b</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-83fa7d4f-f6b5-411f-8029-193485023c95' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-83fa7d4f-f6b5-411f-8029-193485023c95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-665e3736-a6bd-439d-b288-974fe41028f9' class='xr-var-data-in' type='checkbox'><label for='data-665e3736-a6bd-439d-b288-974fe41028f9' title='Show/Hide data 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>[357404 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qsr_hc_b</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-85ed4cf6-120d-4350-9078-bdc31f82b945' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-85ed4cf6-120d-4350-9078-bdc31f82b945' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-772998a3-0130-45e7-a25d-2cdacba0b7f5' class='xr-var-data-in' type='checkbox'><label for='data-772998a3-0130-45e7-a25d-2cdacba0b7f5' title='Show/Hide data 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>[14296160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fraqsr_1lev</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-dbd2157f-11b1-43e0-a098-cfd226345274' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dbd2157f-11b1-43e0-a098-cfd226345274' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8b4cffa-6e92-47c0-a5f2-67f8ed3d207b' class='xr-var-data-in' type='checkbox'><label for='data-a8b4cffa-6e92-47c0-a5f2-67f8ed3d207b' title='Show/Hide data 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>[357404 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fse3t_b</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-01b59dfe-a364-4a4d-b6d4-82023a4195f1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-01b59dfe-a364-4a4d-b6d4-82023a4195f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-794f9c53-0cc3-44b3-b276-dfc9f263f9ab' class='xr-var-data-in' type='checkbox'><label for='data-794f9c53-0cc3-44b3-b276-dfc9f263f9ab' title='Show/Hide data 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>[14296160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fse3t_n</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-a21c95e8-f530-4b8f-8079-d03f567ca49e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a21c95e8-f530-4b8f-8079-d03f567ca49e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e8be8db-08b5-4436-827c-36ea8e03d3b1' class='xr-var-data-in' type='checkbox'><label for='data-1e8be8db-08b5-4436-827c-36ea8e03d3b1' title='Show/Hide data 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>[14296160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rdt</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-182436e0-0194-49fd-826f-6550c46bc174' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-182436e0-0194-49fd-826f-6550c46bc174' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96de78cc-2ffa-491a-a4f0-74e82cb46780' class='xr-var-data-in' type='checkbox'><label for='data-96de78cc-2ffa-491a-a4f0-74e82cb46780' title='Show/Hide data 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(40.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rdttra1</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-ee436883-861c-46a3-8485-4be486060c73' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ee436883-861c-46a3-8485-4be486060c73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b56a15f-82c3-47f7-bad2-66d4108a7821' class='xr-var-data-in' type='checkbox'><label for='data-1b56a15f-82c3-47f7-bad2-66d4108a7821' title='Show/Hide data 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(40.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ub</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-569c5f57-9a47-40a0-b439-7541254cd7be' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-569c5f57-9a47-40a0-b439-7541254cd7be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98a0bad4-1b4a-4d97-ab6b-99de5e36db1d' class='xr-var-data-in' type='checkbox'><label for='data-98a0bad4-1b4a-4d97-ab6b-99de5e36db1d' title='Show/Hide data 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>[14296160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vb</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-3768fce7-6d3d-4399-a361-d4974b8f52f3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3768fce7-6d3d-4399-a361-d4974b8f52f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa25cb04-c9f7-41b0-8064-208910d1d45d' class='xr-var-data-in' type='checkbox'><label for='data-aa25cb04-c9f7-41b0-8064-208910d1d45d' title='Show/Hide data 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>[14296160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tb</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-311371bf-830e-40a9-b301-5b1013c96536' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-311371bf-830e-40a9-b301-5b1013c96536' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e29eddae-cfad-4479-9516-8fc1a3aa549b' class='xr-var-data-in' type='checkbox'><label for='data-e29eddae-cfad-4479-9516-8fc1a3aa549b' title='Show/Hide data 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>[14296160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sb</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-5b2a90f7-d8d5-4536-a008-6befc774d9b0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5b2a90f7-d8d5-4536-a008-6befc774d9b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7180067-6496-4f3b-891b-073010a21a51' class='xr-var-data-in' type='checkbox'><label for='data-e7180067-6496-4f3b-891b-073010a21a51' title='Show/Hide data 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>[14296160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rotb</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-ee888f8d-1447-486e-b6f1-c15fb5294e87' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ee888f8d-1447-486e-b6f1-c15fb5294e87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45669a0a-0d65-402d-a4c2-e1db27cee63e' class='xr-var-data-in' type='checkbox'><label for='data-45669a0a-0d65-402d-a4c2-e1db27cee63e' title='Show/Hide data 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>[14296160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hdivb</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-85176e3a-b502-42c5-9b5f-5b72439c4c15' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-85176e3a-b502-42c5-9b5f-5b72439c4c15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f9f4f6b-cbfe-4f62-b087-cf56bbac70cb' class='xr-var-data-in' type='checkbox'><label for='data-2f9f4f6b-cbfe-4f62-b087-cf56bbac70cb' title='Show/Hide data 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>[14296160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sshb</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-c1b437cb-d847-40ba-b999-067033f5abf7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c1b437cb-d847-40ba-b999-067033f5abf7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c37b776a-62c5-4ca2-aac4-81d755890728' class='xr-var-data-in' type='checkbox'><label for='data-c37b776a-62c5-4ca2-aac4-81d755890728' title='Show/Hide data 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>[357404 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>un</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-b89f2243-b442-4871-ab75-19554406fb05' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b89f2243-b442-4871-ab75-19554406fb05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6aaabd64-5b9c-457a-9e1b-af71a5b71021' class='xr-var-data-in' type='checkbox'><label for='data-6aaabd64-5b9c-457a-9e1b-af71a5b71021' title='Show/Hide data 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>[14296160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vn</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-00aa1cea-89fb-40af-8f0f-a2cef81fbd49' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-00aa1cea-89fb-40af-8f0f-a2cef81fbd49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d12de03e-c464-4c51-b767-cd30f76da3ff' class='xr-var-data-in' type='checkbox'><label for='data-d12de03e-c464-4c51-b767-cd30f76da3ff' title='Show/Hide data 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>[14296160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tn</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-7caa14be-2946-4c04-bc55-1ce3d6ac3215' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7caa14be-2946-4c04-bc55-1ce3d6ac3215' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddb731c8-b7fc-4f48-8e93-e34f47e1d1ee' class='xr-var-data-in' type='checkbox'><label for='data-ddb731c8-b7fc-4f48-8e93-e34f47e1d1ee' title='Show/Hide data 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>[14296160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sn</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-784f30b2-62c5-45fa-b136-bb43b578b8dd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-784f30b2-62c5-45fa-b136-bb43b578b8dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c96fd08-9e87-46ee-911c-3f28f65c01e3' class='xr-var-data-in' type='checkbox'><label for='data-3c96fd08-9e87-46ee-911c-3f28f65c01e3' title='Show/Hide data 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>[14296160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rotn</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-57990b56-eb92-4c5a-91d4-9709544e9349' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-57990b56-eb92-4c5a-91d4-9709544e9349' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38db8f60-52d1-4e49-9318-83fdb7633663' class='xr-var-data-in' type='checkbox'><label for='data-38db8f60-52d1-4e49-9318-83fdb7633663' title='Show/Hide data 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>[14296160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hdivn</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-33c97672-6f26-4375-a22a-d586d5014bcc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-33c97672-6f26-4375-a22a-d586d5014bcc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c17acee2-6b77-4a85-b746-69b571810bed' class='xr-var-data-in' type='checkbox'><label for='data-c17acee2-6b77-4a85-b746-69b571810bed' title='Show/Hide data 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>[14296160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sshn</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-db53e061-566c-4c7a-be2f-68008ce7795d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-db53e061-566c-4c7a-be2f-68008ce7795d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8dfd5c36-6f5b-4aa5-bd7c-207bf41bbfef' class='xr-var-data-in' type='checkbox'><label for='data-8dfd5c36-6f5b-4aa5-bd7c-207bf41bbfef' title='Show/Hide data 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>[357404 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhop</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-facc9c97-5c70-4792-ac81-549eb0b1db7d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-facc9c97-5c70-4792-ac81-549eb0b1db7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26a92f76-7e9a-4804-98f1-cb069355fd04' class='xr-var-data-in' type='checkbox'><label for='data-26a92f76-7e9a-4804-98f1-cb069355fd04' title='Show/Hide data 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>[14296160 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cd456346-f015-47ec-aff3-f57427411791' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cd456346-f015-47ec-aff3-f57427411791' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>file_name :</span></dt><dd>SalishSea_04324320_restart.nc</dd><dt><span>TimeStamp :</span></dt><dd>21/03/2021 02:40:06 -0700</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:\n",
       "    nav_lon       (y, x) float32 ...\n",
       "    nav_lat       (y, x) float32 ...\n",
       "    nav_lev       (z) float32 ...\n",
       "    time_counter  (t) float64 ...\n",
       "    kt            float64 ...\n",
       "    ndastp        float64 ...\n",
       "    adatrj        float64 ...\n",
       "    ssh_ibb       (t, y, x) float64 ...\n",
       "    rnf_b         (t, y, x) float64 ...\n",
       "    rnf_hc_b      (t, y, x) float64 ...\n",
       "    rnf_sc_b      (t, y, x) float64 ...\n",
       "    utau_b        (t, y, x) float64 ...\n",
       "    vtau_b        (t, y, x) float64 ...\n",
       "    qns_b         (t, y, x) float64 ...\n",
       "    emp_b         (t, y, x) float64 ...\n",
       "    sfx_b         (t, y, x) float64 ...\n",
       "    en            (t, z, y, x) float64 ...\n",
       "    avt           (t, z, y, x) float64 ...\n",
       "    avm           (t, z, y, x) float64 ...\n",
       "    avmu          (t, z, y, x) float64 ...\n",
       "    avmv          (t, z, y, x) float64 ...\n",
       "    mxln          (t, z, y, x) float64 ...\n",
       "    ub2_b         (t, y, x) float64 ...\n",
       "    vb2_b         (t, y, x) float64 ...\n",
       "    sbc_hc_b      (t, y, x) float64 ...\n",
       "    sbc_sc_b      (t, y, x) float64 ...\n",
       "    qsr_hc_b      (t, z, y, x) float64 ...\n",
       "    fraqsr_1lev   (t, y, x) float64 ...\n",
       "    fse3t_b       (t, z, y, x) float64 ...\n",
       "    fse3t_n       (t, z, y, x) float64 ...\n",
       "    rdt           float64 ...\n",
       "    rdttra1       float64 ...\n",
       "    ub            (t, z, y, x) float64 ...\n",
       "    vb            (t, z, y, x) float64 ...\n",
       "    tb            (t, z, y, x) float64 ...\n",
       "    sb            (t, z, y, x) float64 ...\n",
       "    rotb          (t, z, y, x) float64 ...\n",
       "    hdivb         (t, z, y, x) float64 ...\n",
       "    sshb          (t, y, x) float64 ...\n",
       "    un            (t, z, y, x) float64 ...\n",
       "    vn            (t, z, y, x) float64 ...\n",
       "    tn            (t, z, y, x) float64 ...\n",
       "    sn            (t, z, y, x) float64 ...\n",
       "    rotn          (t, z, y, x) float64 ...\n",
       "    hdivn         (t, z, y, x) float64 ...\n",
       "    sshn          (t, y, x) float64 ...\n",
       "    rhop          (t, z, y, x) float64 ...\n",
       "Attributes:\n",
       "    file_name:  SalishSea_04324320_restart.nc\n",
       "    TimeStamp:  21/03/2021 02:40:06 -0700"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "restart_file = xr.open_dataset('/data/sallen/results/MEOPAR/202007/202007F/SalishSea_04324320_restart.nc')\n",
    "restart_file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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EpKAQEZGYFBQiIhKTgkJERGJSUIiISEwKChERiUlBISIiMSkoREQkJgWFiIjEpKAQEZGYFBQiIhKTgkJERGJSUIiISExxDQozW2Vm5Wa2qYv5ZmbLzWynmX1gZjP6u0YRkcEu3kcUjwGfjjH/KuDcyGMR8N/9UJOIiLQT16Bwzr0JHIqxyHXA4y7sbWCImY3on+pERATif0RxIiOBonbjxZFpxzGzRWZWaGaF+qJ1EZHeM9CDwqJMc9EWdM6tdM7NdM7NHDp0aB+XJSIyeAz0oCgGRrcbHwWUxKkWEZFBaaAHxfPAgsjVT58Eqp1zpfEuSkRkMPHF88XN7FfAxUCumRUD9wB+AOfcCuAF4GpgJ9AA3BqfSkVEBq+4BoVz7gsnmO+A2/upHBERiWKgn3oSEZE4U1CIiEhMCgoREYlJQSEiIjEpKEREJCYFhYiIxKSgEBGRmBQUIiISk4JCRERiUlCIiEhMCgoREYmpW309mdkcYClwVmQdI9wV07i+K01ERAaC7nYK+CjwT8AGINh35YiIyEDT3aCods6t6dNKRERkQOpuULxmZg8AzwDNRyc6597rk6pERGTA6G5QXBB5/njk2Qh/d/WlvV6RiIgMKN0NitejTHO9WIeIiAxQ3Q2KunbDScC1wNbeL0dERAaabgWFc+7B9uNmtgx4vk8qEhGRAeVUb7hLAXQPhYjIINDdG+4+5FibhBcYCtzXV0WJiMjA0d02imvbDQeAg865QB/UIyIiA0x32yj29XUhIiIyMKlTQBERiUlBISIiMSkoREQkJgWFiIjEpKAQEZGYFBQiIhKTgkJERGJSUIiISExxDQoz+7SZbTeznWZ2V5T5F5tZtZltjDy+HY86RUQGs+524dHrzMwL/Bi4HCgG3jWz551zWzot+ifn3LXHbUBERPpFPI8oPgHsdM7tds61AE8C18WxHhERiSKeQTESKGo3XhyZ1tlsM3vfzNaY2eSuNmZmi8ys0MwKKyoqertWEZFBK55BYVGmdf561feAs5xzU4EfAc91tTHn3Ern3Ezn3MyhQ4f2XpUiIoNcPIOiGBjdbnwUUNJ+AedcjXOuLjL8AuA3s9z+K1FEROIZFO8C55pZgZklADfS6etVzWy4mVlk+BOE663q90pFRAaxuF315JwLmNkdwEuEvzVvlXNus5ktjsxfAfxf4MtmFgAagRudc51PT4mISB+KW1BA2+mkFzpNW9Fu+GHg4f6uS0REjtGd2SIiElNcjyhE4i0YctQ0tnK4oYUjja0k+70U5KaS5PfGuzSRAUNBIWeEUMjRFAhS3djK4fpWjjS0cLghEgAdhjs+Vze20rnVy+sxxuakcN7wDCYMT2d8XjrnDU9nTHYKHk+0q7pFzmwKCukVW0tr2H+ogZZAiCW/eR+fx/B5DZ/H8Ho8+L2G12OR6Z4Ow+FlDL/XaAk6mlqCNLQEaWgN0BgZbmwJ0tgapKHl2LSGliBNrZH5rcFu1WmESKeBbKtlHLVkWS1ZnjqyqCXbaql1yWx3o9leOYYXKnL4w4fHzs4m+72Mz0trFx7hIBmanthXu1VkQFBQSI99WFzNjSvXU3KkEYCn3yvus9fyECKFJpJpJtlaGEpzeNzTTArNZNAQfvO32sibfx1ZVkt2JBSGUIfPQlG33eK8JNixwKlzSXzkRrEtNJqP3Gi2B0ezrXg07xdndFgvJzWB8XnpTBiezuT8DP7P+KEMy0jqs30g0t8UFNIjoZDjG89+SENLK+faATKsgacS7yDgvATwEMRLoO3Rbtx5CeKhFR9BPG3L+AiSQjPJFg6Ao8PJtJBCM4nW2q26Wp2XI6RxyKVzmHR2uJEcDqVziHSOuGPTD7lj0+pIJo1GxlsxEzxFTLAizvMUcZX3XW6y19q2XeEy2RYaHT7ycKPZ3jCav+4exfrdx44spo0ewuWT8rhiUh7nDEsjcjuQyGlJQSE98tsNRXx4oJq/9azjPavhkEvnzeAUfBbESxAfQXyE2g2Hx/0WIIWjy4TwEcBHkABeGkik0SVRThaNJNAYSgxPI4kGlxieRiINLpEGkmgiITKcSA2pHHbp1JJM9F5ijpee6CMr1U9BcgKVdcm8V53Ce8Hx7ZZwDOUI50XCY4IVMcFTxBc9r5AUCa6QM/a5YbznzuXl4Ez+VPQxNhYd4YGXtjM2J4XLJuZx+aQ8Pn5WFj6vLjaU04udifevzZw50xUWFsa7jDNeTVMrly57nca6al5LXMLVqw+xKTSW4TfdH5d6En0e0pN8DElJICvF3/aclZLAkJQEslOPTjs2f0iKH3+nN+7qhla2H6xle1kN28pq+ehgLdvKaqltCnRYzkOIs+wg462I86yI8zz7me3ZwhCrp9n5eCs0mZdDM3k5OIMKsgDISvFz6Xnh0Jg7PpeUBH1Wk4HBzDY452ZGnaegkFP1nd9v4Wfr9vB135P8o+95clcNpY5kfvjz58hM9hMIOYLBEIGQCw+HHK3BEMHIeCAyr/241+MhJcFLSoKXJL+3bTg5wUeK30tyQviRkuAlxe9rG0/2e/H24RVJzjlKq5vYXlbbITx2ldfREjzW5uElyCzPdi73bOByTyFjPOGejDeGzmZt8OO8HJrJDjcSMBJ8Hi46J5fLJ+XxqYnDGJaudg2JHwWF9Lqd5XV8+odvMtKVsjbh6/wudCFfXL2XnLREDmwZPPu+NRhib2U928pq2XSgmj9uK2dneV1krmO8FYdDw1vINM9uAPaG8nglNIOXgzMpdOMJEr5nY9roIfzNubnkpiWSkewjM9lPRpKfjGR/23CS3zNg2zuaWoOEnNNR0mlKQSG9yjnHLf/zLm98VMFP/Q8y27OZS5ofZPOvvs/U0UNYv+7NeJcYV3sq63l5SxkvbznIhn2HCUX+xfI4xGXe97jMs4ELPZtJtACHXRqvhqbzcvDjvBmaQgOxjyoSvB4ykn1tAXIsRHxkJPvJSU0gf0gy+UOSGTkkmdy0hF4NFucc5bXN7CqvY1dFHbsq6sPP5XWUVDcBkJuWwNicVMbmplKQm8rYnMhzbopCZACLFRT6rclJe217OW98VMHfeD7gcu8G7m+9kQqyyB+STKJPDbUFuaksmns2i+aeTVVdM3/cVs4rWw7y5g4PT7RexhPBy0ilkbmR/fcpz3tc7/0Tzc7PR24k1S6ValKpafdcQwrVLjKtPvwocilUk0ogxr9xgs/DyCHJ5A9JIj8zmZFZ4RAZFQmTEUOSSPQdfxd6SyDE/kP17CyPBEEkFHaX11Hb3LGtJolmxlkpH/eU4CPInvoRfFQ3nMJ9acdtNy8jsV1whJ8LclMZk52iu+EHMB1RyElpCYS48odvUlRZzZqEu/ER4MqW7zN0SAbeNffiMeP111+Pd5kDUlNrkHU7Knl5y0H+uO0glXUtwLF2jcs8GxhnpWRaPRk0RJ7r266s6kq9C1/tVe1SqXIZlLgcSsil2OWGhyPPzSREXX9oemJbeDQHQuyuqGPfoQaCofbvDY5cajjHc4CzreTYw1PCKKuMut0ql84eN4I9oeHsdvnsdsPZ40awz+UdV4sZ5GcmM2F4OgvnFHDRuframf6mIwrpNf/z5z3sqaxnofdlzvUc4O9bltCCn29cPZEHXhyY584HiiS/l8sm5XHZpDyCIcfGosO8vKWcl7eU8XbFJN4OTYq6XiItZNBAhtWTSX2754YOz5lWz1A7wkWeTeRxGI91/BBYeTREIsFx4OhwXQ4ltbl8UJSBlxBjrJxLrYSzvcfC4GwrIdMa2rbV4BLZ5UZQGBrPr0MXs8vls8vlE8BLgZVRYKUUWCnjPGXM9X7A5+3Y6ciQM0rIYXdoBHtcOET2uOHsrh7Ba0dyeX17Of/9xY9z5eThffOLkJOmIwrptvLaJi5d9gYJzYd4PfGf+WvoHG5u/VcuKMjhyUWf5JJLLgHQEcUp2F1Rx592VFJW00RNYys1TQGqG1vDw42t1DS1Ut3YSmuwe/+vPgIMt8PkU0m+VZFvlYy0KkZaZWS4klRr7rBOs/NhuA53px90Q9gVym8Lgl0un12hfErJxnXqfNoMPGadjkTCUmlkrJUxzkopsDLGeUraAiXDGtuW2xgax/yWbxLyp/Hr2z7JlFFDTmIvSk/oiEJ6xfdf3E5dc4D/8P2aZJq5L/B3eMxYOm/ygL0S53Qxbmga44Yef06/PeccTa0haprC4VEdCZCaxnCoVDe2crCmiZIjjRw40siBw4kUtww9/pvow1sjg3pGRkIkPxIiITxtwbDbjaCG1OPWTPZ7mTQ0lbOHpoUfw8LDBbmpeD1G0aEG9lbVs6eygb2V9ZHherYcSWZzqCC8keCxOnKpocBKmeLZzd2+X/Ij/4/4UusS/n51Ic/dPoeRQ5J7smulFygopFs2Fh3hqQ3FTLY93Oh9nVXBT7PLjeSLnxzDxBEZJ1xfes7M2u4byetGX1LOOWqaAhw43NgWHm0hcqSRkiNJbKtNY2vorKjrD01P5JNDUzlnWFq7UEhjREZSzF50uwq95kCQokMNbQGyu7I+EiTJvFudybvB86gnifv9P+Me9zjfrr2Fhf/zLk99eTbpSf7u7yjpdQoKOaFQyLH0+c2AY6l/NYdIZ3ngb8lM9rPk8gnxLk+6YGZkRi6fnZQfPcxbAiHKqpvaQsQsfNXWuKFpZCb37ptzos/LOcPSOWdY+nHzqhtaufGnb/Nk6aWMtTIW+37PXjecVQev4h+feI9Vt8w67g566T8KCjmhZ/96gI1FR5jnWc8sz0f8a+uXqCGVey8fT1Zq9Ctp5PSQ4PMwJieFMTkpca0jM8XPqltm8tkf/5nv1dzIGCvn33y/oMgN5eUdM7nn+c1897Pn6xRnnCiiJaa65gD3v7iNZJq4y/9LNoXG8tvg/2FCXjrzLxgT7/LkDDIiM5lHb55FcoKff279Mh+4cTzk/zHn225++Zf9/PRPu+Nd4qCloJCYHn51JxW1zSz2/Y58O8TS1gWE8HDPZyapF1TpdeePzORHX5hOiyXyDy1f4xDprEpYRj6V/Oeabby4qTTeJQ5KOvUkXdpbWc+qdXsYZRXc5v09/xu8kEJ3Hp+ePJwLzxkYN0Q556hvraeisYLKxkpaQ60Yhsc8eMzTcdgMD+2G280/+pziTyEnKQe/V42n8fKpiXl8+9pJLP3dFm5t+TpPJ9zDowkP8PmWe7jz1xt5MjOZaaOHxLvMQUVBIV36zh+20BIM8Q3/E4Tw8J+tXyDB5+Gb10zs89cOhAIcbjrcFgBHHxUNFVQ1VVHRcGx6U7Cp118/MzGT3KRccpNzyUnOITc5t+3RfnxI4hA8piOr3nbLnAL2VjXw2Fvw5dY7ecz/fR72/4i/b/0a/7D6XZ79xzmMzo5vu8pgoqCQqN74qIJXtpYz27OZq73vsKz185SRw1fmjuvVf9DyhnI2V25mc9Vmth3aRll9GRWNFRxuOoyLfgMAOEdKMwyph7PrHEPqwsNZdY6EVnB27BGKtH2GrON0R/tha1u2KQGOpMKRtCMcST3CB6k7aUwkfDdZFF7zkpOU0xYew1OHMz5rPBOyJzA+azyp/uPvQ5Du+da1kyg+3MArWz/GvwUW8j3/T7nXPca/1S1k4WPv8tSXL+z1K7MkOgWFHKc1GOK+323GS5B7fI9TFBrKT4PXMCIziS9ffPYpb7eysZItVVvagmFz1WYqG4/1E2QhR2YDZNXBWXUu8uYfDoAh9TCkzpEVCYWEwPHbb/FCsz/8vXbm2j23e3gi2eNpN9zFHWnHtuuLhEcqVKcaR9KOjhtHUkMcST1IZdpBdqVCi79joIxOH82ErAmMzx7PhKwJTMieQH5qvq7e6Qavx3joxunc8JP1/LrkEsZaGV/2/Y49bjiPll/D7U+8x//cqstm+4OCQo7z+Pp97Kqo5++8f+Q8TxG3tdxJMwncddV53e4m+nDT4XAoVG1uC4aDDQfb5ptzDD8EF5U6zi51nF3mGHsQkqL0f1eXFH5jPpxmbB8Fh9PCb9KH04i8aYeHG2J88u+Sc+EvTI0ER0ozZNbDkPpjRyqZ9UeDCoYdcYw/AOkN4IkSMEdSYe8wY98w2DfM2Ju3n1dz9vPK/lfalkn3p3cIjglZEzh7yNkk+fTFRZ2lJvpYdcssPvvjP/P96v/HGDvIN32/pMgNY+3OWfzbs5u4//qPKXj7mPp6kg6q6pq5eNnreJsO83riP7M5NJb5rd9g1thsfnPb7Kj/kMFQkK2HtnL9VdfT0NrA5G9N5kDdgWMLOMewI3B2mWNcqePsMhhXFj59BNDsgz15sHuEUZJtbUFwJBIErb7YbwJ+j5+hyUPJTc4l2Z8MDkKECLkQzjlCLkSIdsMu/I100abXtNTEPu0V4Qk5MhqIhIkjM3L0M+KQ46xyx+hK8Ee6qWjxQvHQSHC0C5H65GM/l8c8jM0Yy5iMMSR7k0n0JZLoTSTJm0SiL5FkXzKJ3sg0X1KHeUne8HiiL5E0fxrZSdn4PGfWZ8AtJTV8fsVbBFoaeTLhO5xn+7mh5dt86Mbxr58+r0dHuhKmvp6k25at3U5tU4D7fE+RTgP3Bf4OM+Oez3Tsz6m0rpT1pet5q+Qt3i59m+rmaopriwFoLClmVln4SGFcKZxd6kiPtDe3emHfMPjTJGP3CGPXCKM4F0JRuoTITMzkrOShbef/j4ZB50dGQkavfqI82pDevhG9qqmq43hjFZWJlexNqyN8kqsjb9CRXwVjy8PBcdZBmLHTcckHxwKoIiMcGPuGwd68EPuG7eJPmbsIejj5I6N2DCMrKYvspOxjje/tGuZzknPIScppa4z3egb+90BMys/g4fkz+PvH3uVLLUt4NuHbPJqwjM8138v3XoQx2SlcM2VEvMs8Y+mIQtpsOlDNZx5exwT284eEu/lF8DLuCdzKjbNG8+155/Bu2bu8VfIWb5W8xd6avW3r5R12TNnjeOGJvaQ0O54YGe47KGhQNBR2RQJh13CjaCgE2h0h+Dw+xmeNZ3LOZCbnTOacrHMYljyMnOQcErwD/67vxkBjODQaK6lorGDXkV1sP7Sd7Ye3U1Rb1HFhFz6FddZBx9hyGHswHCL5h9q3l4Qb1Zv94baRo4+2cb/R6us4/9iw0ZB0rP2kOtKu0pRAzMb4rKSscIgk5ZCWkIZFCb7uSvGnMCptFKMzRjMmfQyj00eTnnB8lx2n6udv7+Nbz23iHCvmmYSllLgcPt9yD82+NJ5c9ElmjMnqtdcabPRVqHJCzjk+v2I9hfsO8Uv/d5ng2c8l9jVcZilTxx9k86EPCITCLcjJTY7z9zum7g4HxPAj4W18oWQfDYnGvBvHsnuEsXcYtLZr3PWal3OzzmVyzmQm5Uxicu5kzh1y7mkRCKeivrWeHYd3tAXH9sPb2XF4B42Bxg7L+VvDp6rOKg831icEwldvJQQgMfKcEAB/ABJaHYkB2uYffSS2dgyb9pp94VN41SlwJO1YgIQb4yMN9KlQnQrNCSffxnOcTqGUnZTN6PTRjE6PhEckRMakjyEzMfOkjwa/8/st/GzdHi70bGK1/3usD01iYeu/kJmawnO367LZUzVgg8LMPg08BHiBnznn7u803yLzrwYagFucc++daLsnGxQ7Kkupa+n9a/FPJ3/ZU8X3XtrEtJTXOCf9T7yaPIQWb7hl2UKOs0th6h7H1D0hzj0AXgeNCbDpLOODAuP9AuOtn+wBYNzd4/CYh3GZ48JHCrnho4XxWeMHfYNtMBSkqLYoHByHtvPR4Y/Yfng7ZfVlPduwc3hDkNYUaYyvc5FG+UjDfP2xRvrM+qON8ccLdRo/2euJGhKgLAsOZhml2VCaZZRlGWXZ4aDqHCLpCeltRx6j00eTl5KH3+vH5/HhNS8+jy/8MF/bsOHhv9bu4p091Vzh2cDXvM+wJvBJ/itwA2dlp/G966eQEOXrXQeTzKQUxmXnndQ6AzIozMwLfARcDhQD7wJfcM5tabfM1cBXCAfFBcBDzrkLTrTtkw2Kix67iWr78OR+gDNcbrVj6p7wEcPH9jrSmsJvIrtHwPsFxgcFHj4aCUFv+B8/2ZfMge8fID0hnV/94VdMyJpAil+f7LqrurmaHYd3UN1cTWOwkeZAM03BJpqDzR2GmwKRaZHhpmBTh/nVzdUcaT5ywtdr3xjfdlVXPSS1OFynD/jHvUNY+3md3vgbHXmHYcTh8AUM3nYrHw2RsmyjLCsSIpHhaCEip26oXcCrC352UusM1MbsTwA7nXO7AczsSeA6YEu7Za4DHnfhNHvbzIaY2QjnXJ90+DJncwhv549Ug4i58NVIU/Y4Rh4KT6tMh3fGh48YNo01alPC/8yGMTFnIhfmX8iF+RcydehUrvjpFQBMHzY9Xj/CaSszMZOZw6P+j5601mArh5oOUdkUbnQ/2oZytEG+bTyxir1ptURrjO8N3qAjtzocGiMOwfDDjuGHoaDMccE28Lb7kNqQAGXZ4dNhAS8EPRDwQiDyfHQ82Dat43JHn4/eWDlYtfpg/cTev68knkExEmjf2ldM+KjhRMuMBI4LCjNbBCwCGDPm1Ho1vW1NKOp1/INJsw82jzFenm68P844kEPbJ728lDwuiwTDBSMuICtJDYcDkd/rJy81j7zUE596aA42dwiTnnSH4pzjUNMh9tfuZ3/tfopqijjgO8DB7CAbO1296g06hlaHw+NoiIw4FD415g2CNwS+IPgiz97IsDcYHo92D4uE257OtKCIlvudf/vdWSY80bmVwEoIn3o6lYKW/IMXG+R/f4fTj923kOxL5m/yZrYdNRRkFujGpjNMojeR/LR88tPy+2T7raFWyurKKKot6hAg+2v3U+wvpiy75bgQ6Q4LuY5BEnn2DOIzAgChPrpJPZ5BUQyMbjc+Cig5hWV6LNU3hJrmIVTG/sriQSHZm82VYy7kc+ddwrRh087YK5Kkf/g9fkZnjGZ0xmgu5MIO80IuRHlDOftr9reFSE1zDYFQgKALtj23hlrDw6EgARdoG24NtbYtV9vczJGGJgKhYBeVDB4WgLSU3v164ngGxbvAuWZWABwAbgRu6rTM88AdkfaLC4DqvmifeOmLj/T2JkXkBDzmYXjqcIanDucTIz4R73IkhrgFhXMuYGZ3AC8Rvjx2lXNus5ktjsxfAbxA+IqnnYQvj701XvWKiAxWce3Cwzn3AuEwaD9tRbthB9ze33WJiMgx6p9XRERiUlCIiEhMCgoREYlJQSEiIjEpKEREJCYFhYiIxKSgEBGRmBQUIiISk4JCRERiUlCIiEhMCgoREYlJQSEiIjEpKEREJCYFhYiIxKSgEBGRmBQUIiISk4JCRERiUlCIiEhMCgoREYlJQSEiIjEpKEREJCYFhYiIxKSgEBGRmBQUIiISk4JCRERiUlCIiEhMCgoREYlJQSEiIjEpKEREJCYFhYiIxKSgEBGRmHzxeFEzywZ+DYwF9gI3OOcOR1luL1ALBIGAc25m/1UpIiIQvyOKu4A/OufOBf4YGe/KJc65aQoJEZH4iFdQXAesjgyvBj4bpzpEROQE4nLqCchzzpUCOOdKzWxYF8s5YK2ZOeAnzrmVXW3QzBYBiwDGjBnT2/VKN0ybNi3eJYhIHzDnXN9s2OwVYHiUWd8EVjvnhrRb9rBzLivKNvKdcyWRIHkZ+Ipz7s0TvfbMmTNdYWHhqRcvIjLImNmGrk7x99kRhXPushgFHTSzEZGjiRFAeRfbKIk8l5vZs8AngBMGhYiI9J54tVE8D9wcGb4Z+N/OC5hZqpmlHx0GrgA29VuFIiICxC8o7gcuN7MdwOWRccws38xeiCyTB6wzs/eBd4A/OOdejEu1IiKDWFwas51zVcCnokwvAa6ODO8GpvZzaSIi0onuzBYRkZgUFCIiEpOCQkREYlJQiIhITH12w108mVkFsO8UV88FKnuxnN6m+npG9fWM6uuZgVzfWc65odFmnJFB0RNmVjiQOyBUfT2j+npG9fXMQK+vKzr1JCIiMSkoREQkJgXF8brsoXaAUH09o/p6RvX1zECvLyq1UYiISEw6ohARkZgUFCIiEtOgDAoz+7SZbTeznWZ23Pd1W9jyyPwPzGxGP9c32sxeM7OtZrbZzL4aZZmLzazazDZGHt/u5xr3mtmHkdc+7lui4rkPzWxCu/2y0cxqzOzOTsv06/4zs1VmVm5mm9pNyzazl81sR+T5uC/viiwX8++1D+t7wMy2RX5/z5rZkC7Wjfm30If1LTWzA+1+h1d3sW689t+v29W218w2drFun++/HnPODaoH4AV2AeOABOB9YFKnZa4G1gAGfBL4Sz/XOAKYERlOBz6KUuPFwO/juB/3Arkx5sd1H3b6fZcRvpkobvsPmAvMADa1m/Z94K7I8F3A97qoP+bfax/WdwXgiwx/L1p93flb6MP6lgJf68bvPy77r9P8B4Fvx2v/9fQxGI8oPgHsdM7tds61AE8C13Va5jrgcRf2NjAk8k18/cI5V+qcey8yXAtsBUb21+v3krjuw3Y+Bexyzp3qnfq9woW/wvdQp8nXAasjw6uBz0ZZtTt/r31Sn3NurXMuEBl9GxjV26/bXV3sv+6I2/47yswMuAH4VW+/bn8ZjEExEihqN17M8W/C3VmmX5jZWGA68Jcos2eb2ftmtsbMJvdvZThgrZltMLNFUeYPlH14I13/g8Zz/wHkOedKIfzhABgWZZmBsh8XEj5CjOZEfwt96Y7IqbFVXZy6Gwj772+Ag865HV3Mj+f+65bBGBQWZVrna4S7s0yfM7M04GngTudcTafZ7xE+nTIV+BHwXD+XN8c5NwO4CrjdzOZ2mh/3fWhmCcA84LdRZsd7/3XXQNiP3wQCwBNdLHKiv4W+8t/A2cA0oJTw6Z3O4r7/gC8Q+2giXvuv2wZjUBQDo9uNjwJKTmGZPmVmfsIh8YRz7pnO851zNc65usjwC4DfzHL7qz4X/jZCnHPlwLOED/Hbi/s+JPyP955z7mDnGfHefxEHj56OizyXR1kmrvvRzG4GrgXmu8gJ9c668bfQJ5xzB51zQedcCPhpF68b7/3nA/4W+HVXy8Rr/52MwRgU7wLnmllB5BPnjcDznZZ5HlgQuXLnk0D10VME/SFyTvNRYKtz7r+6WGZ4ZDnM7BOEf5dV/VRfqpmlHx0m3Oi5qdNicd2HEV1+kovn/mvneeDmyPDNwP9GWaY7f699wsw+DfwrMM8519DFMt35W+ir+tq3eX2ui9eN2/6LuAzY5pwrjjYznvvvpMS7NT0eD8JX5HxE+GqIb0amLQYWR4YN+HFk/ofAzH6u7yLCh8cfABsjj6s71XgHsJnwVRxvAxf2Y33jIq/7fqSGgbgPUwi/8We2mxa3/Uc4sEqBVsKfcv8eyAH+COyIPGdHls0HXoj199pP9e0kfH7/6N/gis71dfW30E/1/Tzyt/UB4Tf/EQNp/0WmP3b0b67dsv2+/3r6UBceIiIS02A89SQiIidBQSEiIjEpKEREJCYFhYiIxKSgEBGRmBQUIiISk4JCRERiUlCI9DEzmxXpuC4pcifuZjM7P951iXSXbrgT6Qdm9h0gCUgGip1z/xnnkkS6TUEh0g8i/Qy9CzQR7i4kGOeSRLpNp55E+kc2kEb4GwuT4lyLyEnREYVIPzCz5wl/u1oB4c7r7ohzSSLd5ot3ASJnOjNbAAScc780My/wlpld6px7Nd61iXSHjihERCQmtVGIiEhMCgoREYlJQSEiIjEpKEREJCYFhYiIxKSgEBGRmBQUIiIS0/8Hbed/xCy4NO8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ib, ie = 40, 60\n",
    "uveln19 = restart_file.un[0, 25-1]\n",
    "uvelb19 = restart_file.ub[0, 25-1]\n",
    "uvelb19[896, ib:ie].plot(label=\"Before 1\", linewidth=5)\n",
    "uveln19[896, ib:ie].plot(label=\"Next 1\")\n",
    "uvelb19[894, ib:ie].plot(label=\"Before 3\", linewidth=5)\n",
    "uveln19[894, ib:ie].plot(label=\"Next 3\")\n",
    "plt.plot([45-ib, 45-ib], [-0.5, 2], color='k');\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "restart_file.un[0, :, 896, :] = restart_file.un[0, :, 895, :]\n",
    "restart_file.ub[0, :, 896, :] = restart_file.ub[0, :, 895, :]\n",
    "restart_file.vn[0, :, 895, :] = restart_file.vn[0, :, 894, :]\n",
    "restart_file.vb[0, :, 895, :] = restart_file.vb[0, :, 894, :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'file_name': 'SalishSea_04324320_restart.nc',\n",
       " 'TimeStamp': '21/03/2021 02:40:06 -0700',\n",
       " 'Modified': 'copied velocity one away from north boundary to boundary'}"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "restart_file.attrs['Modified'] = 'copied velocity one away from north boundary to boundary'\n",
    "restart_file.attrs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "restart_file.to_netcdf('SalishSea_04324320_restart.nc')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looks like its running okay now."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "py39",
   "language": "python",
   "name": "py39"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}