03_example_persian_gulf.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example 1\n",
    "\n",
    "> This example will demonstrate a TEF analysis carried out for the Persian Gulf using data from Lorenz et al. (2020).\n",
    "> "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyTEF.tef_core import *\n",
    "from pyTEF.tutorial import download_test_data\n",
    "import matplotlib.pyplot as plt\n",
    "import xarray as xr\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.gridspec as gridspec\n",
    "from matplotlib.ticker import FormatStrFormatter\n",
    "import gsw as gsw"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Download data ~ roughly 50 MB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "downloadpath = \".\"\n",
    "\n",
    "download_test_data(downloadpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_winter = xr.open_dataset(downloadpath + \"/SoH_2_2011_01.nc\").load() #exchange flow in Strait of Hormuz winter\n",
    "ds_summer = xr.open_dataset(downloadpath + \"/SoH_2_2011_08.nc\").load() #exchange flow in Strait of Hormuz summer\n",
    "ds_2d_winter = xr.open_dataset(downloadpath + \"/Surface_2011_01.nc\").load()  #SST and SSS winter\n",
    "ds_2d_summer = xr.open_dataset(downloadpath + \"/Surface_2011_08.nc\").load()  #SST and SSS summer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_2d = xr.concat([ds_2d_winter, ds_2d_summer], dim = \"time\").squeeze()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To get an overview about the area and the model domain, we first plot the Sea Surface Temperature (SST) and Sea Surface Salinity (SSS) during winter and summer (one daily mean value)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 504x216 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_2d.temp.attrs[\"long_name\"] = \"Temperature\"\n",
    "ds_2d.temp.attrs[\"units\"] = \"°C\"\n",
    "\n",
    "g = ds_2d.temp.plot(col = \"time\", cmap = \"rainbow\", robust = True)\n",
    "\n",
    "for ax in (g.axes.flat):\n",
    "    ax.annotate('transect',xy=(56.2,27.),xytext=(54,27.5),arrowprops=dict(arrowstyle='->'))\n",
    "    ax.plot([ds_winter.lonc.values,ds_winter.lonc.values],[ds_winter.latc.values[0],ds_winter.latc.values[-1]],color='k')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One can see that the Persian Gulf shows a large seasonal cycle in SST, varying from below 16°C in January to values greater than 36°C in August. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 504x216 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_2d.salt.attrs[\"long_name\"] = \"Salinity\"\n",
    "ds_2d.salt.attrs[\"units\"] = \"g kg$^{-1}$\"\n",
    "\n",
    "g = ds_2d.salt.plot(col = \"time\", cmap = \"viridis\", robust = True)\n",
    "for ax in (g.axes.flat):\n",
    "    ax.annotate('transect',xy=(56.2,27.),xytext=(54,27.5),arrowprops=dict(arrowstyle='->'))\n",
    "    ax.plot([ds_winter.lonc.values,ds_winter.lonc.values],[ds_winter.latc.values[0],ds_winter.latc.values[-1]],color='k')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The salinity shows regional differences with the Shatt Al Arab river plume in the north west and greatest surface salinities in the south. Now let's explore the exchange flow."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**In summary**\n",
    "\n",
    "One can see that the Persian Gulf shows a large seasonal cycle in SST, varying from below 16°C in January to \n",
    "values greater than 36°C in August. The salinity shows regional differences with the Shatt Al Arab river plume in the north west and greatest surface salinities in the south.\n",
    "Now let's explore the exchange flow. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       ".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:     (latc: 51, lonc: 1, time: 744, level: 40)\n",
       "Coordinates:\n",
       "  * latc        (latc) float64 26.37 26.38 26.4 26.42 ... 27.15 27.17 27.18 27.2\n",
       "  * level       (level) float64 1.0 2.0 3.0 4.0 5.0 ... 36.0 37.0 38.0 39.0 40.0\n",
       "  * lonc        (lonc) float64 56.38\n",
       "  * time        (time) datetime64[ns] 2011-01-01T01:00:00 ... 2011-02-01\n",
       "Data variables:\n",
       "    bathymetry  (latc, lonc) float32 nan 24.08 37.57 56.69 ... 5.575 5.575 nan\n",
       "    dxc         (latc, lonc) float32 1.662e+03 1.662e+03 ... 1.651e+03 1.65e+03\n",
       "    dyc         (latc, lonc) float32 1.856e+03 1.856e+03 ... 1.856e+03 1.856e+03\n",
       "    hn          (time, level, latc, lonc) float32 0.2 0.2001 ... 0.1304 0.2\n",
       "    rho         (time, level, latc, lonc) float32 0.0 1.026e+03 ... 0.0\n",
       "    salt        (time, level, latc, lonc) float32 nan 39.01 39.15 ... 37.37 nan\n",
       "    temp        (time, level, latc, lonc) float32 nan 26.65 26.94 ... 21.22 nan\n",
       "    velx3d      (time, level, latc, lonc) float32 nan -0.2938 ... 0.01851 nan\n",
       "    vely3d      (time, level, latc, lonc) float32 nan -0.06018 ... -0.03729 nan\n",
       "    z           (time, latc, lonc) float32 nan -0.4051 -0.3902 ... -0.3599 nan\n",
       "Attributes:\n",
       "    title:    Persian Gulf\n",
       "    comment:  file created by the GOTM output_manager\n",
       "    history:  Thu Apr 15 14:30:13 2021: ncks -d time,1,-1 SoH_2_2011_01.nc4 S...\n",
       "    NCO:      netCDF Operators version 4.9.2 (Homepage = http://nco.sf.net, C...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e7ebaad0-18fc-4279-8626-f16dfb75e0be' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e7ebaad0-18fc-4279-8626-f16dfb75e0be' 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'>latc</span>: 51</li><li><span class='xr-has-index'>lonc</span>: 1</li><li><span class='xr-has-index'>time</span>: 744</li><li><span class='xr-has-index'>level</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3c228a6f-f28c-4b8d-ae49-8f2f6681ff46' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3c228a6f-f28c-4b8d-ae49-8f2f6681ff46' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latc</span></div><div class='xr-var-dims'>(latc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>26.37 26.38 26.4 ... 27.18 27.2</div><input id='attrs-999f5595-d479-4dd1-8db7-8a1811b01f14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-999f5595-d479-4dd1-8db7-8a1811b01f14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-289123e5-21a6-4eab-b118-425b50c847f7' class='xr-var-data-in' type='checkbox'><label for='data-289123e5-21a6-4eab-b118-425b50c847f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd></dl></div><div class='xr-var-data'><pre>array([26.366667, 26.383333, 26.4     , 26.416667, 26.433333, 26.45    ,\n",
       "       26.466667, 26.483333, 26.5     , 26.516667, 26.533333, 26.55    ,\n",
       "       26.566667, 26.583333, 26.6     , 26.616667, 26.633333, 26.65    ,\n",
       "       26.666667, 26.683333, 26.7     , 26.716667, 26.733333, 26.75    ,\n",
       "       26.766667, 26.783333, 26.8     , 26.816667, 26.833333, 26.85    ,\n",
       "       26.866667, 26.883333, 26.9     , 26.916667, 26.933333, 26.95    ,\n",
       "       26.966667, 26.983333, 27.      , 27.016667, 27.033333, 27.05    ,\n",
       "       27.066667, 27.083333, 27.1     , 27.116667, 27.133333, 27.15    ,\n",
       "       27.166667, 27.183333, 27.2     ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0 3.0 4.0 ... 38.0 39.0 40.0</div><input id='attrs-ccdc3cb0-02aa-4d73-bf50-3da7c557b710' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ccdc3cb0-02aa-4d73-bf50-3da7c557b710' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0ab6328-e742-4911-bdf7-32e48e7be407' class='xr-var-data-in' type='checkbox'><label for='data-f0ab6328-e742-4911-bdf7-32e48e7be407' title='Show/Hide data repr'><svg 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>level</dd><dt><span>long_name :</span></dt><dd>general vertical coordinates</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd></dl></div><div class='xr-var-data'><pre>array([ 1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13., 14.,\n",
       "       15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27., 28.,\n",
       "       29., 30., 31., 32., 33., 34., 35., 36., 37., 38., 39., 40.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lonc</span></div><div class='xr-var-dims'>(lonc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>56.38</div><input id='attrs-ace35ccb-0d17-446e-a031-30f8ef2bac27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ace35ccb-0d17-446e-a031-30f8ef2bac27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc633492-c803-45dc-aec4-78bf9524f2e6' class='xr-var-data-in' type='checkbox'><label for='data-cc633492-c803-45dc-aec4-78bf9524f2e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd></dl></div><div class='xr-var-data'><pre>array([56.383333])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2011-01-01T01:00:00 ... 2011-02-01</div><input id='attrs-0f1770f5-69f3-4cc8-a878-a3a3b7aa0b4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f1770f5-69f3-4cc8-a878-a3a3b7aa0b4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f5f045c-1fb5-4c5e-9900-52f4e2232e1a' class='xr-var-data-in' type='checkbox'><label for='data-9f5f045c-1fb5-4c5e-9900-52f4e2232e1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2011-01-01T01:00:00.000000000&#x27;, &#x27;2011-01-01T02:00:00.000000000&#x27;,\n",
       "       &#x27;2011-01-01T03:00:00.000000000&#x27;, ..., &#x27;2011-01-31T22:00:00.000000000&#x27;,\n",
       "       &#x27;2011-01-31T23:00:00.000000000&#x27;, &#x27;2011-02-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6a4fdc17-ea11-4da8-b91f-a180257b761d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6a4fdc17-ea11-4da8-b91f-a180257b761d' class='xr-section-summary' >Data variables: <span>(10)</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>bathymetry</span></div><div class='xr-var-dims'>(latc, lonc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan 24.08 37.57 ... 5.575 5.575 nan</div><input id='attrs-45888d8a-4ae6-4582-8425-b25525ca4ec9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45888d8a-4ae6-4582-8425-b25525ca4ec9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2b22aff-147c-4b05-aa78-03a58577cc5e' class='xr-var-data-in' type='checkbox'><label for='data-c2b22aff-147c-4b05-aa78-03a58577cc5e' title='Show/Hide data repr'><svg 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>m</dd><dt><span>long_name :</span></dt><dd>bathymetry</dd><dt><span>standard_name :</span></dt><dd>bathymetry</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[        nan],\n",
       "       [ 24.079733 ],\n",
       "       [ 37.571114 ],\n",
       "       [ 56.690716 ],\n",
       "       [ 77.49219  ],\n",
       "       [ 95.565895 ],\n",
       "       [106.2867   ],\n",
       "       [108.11371  ],\n",
       "       [103.429054 ],\n",
       "       [ 96.35117  ],\n",
       "       [ 90.01556  ],\n",
       "       [ 85.41442  ],\n",
       "       [ 82.155014 ],\n",
       "       [ 79.689384 ],\n",
       "       [ 77.87563  ],\n",
       "       [ 76.74867  ],\n",
       "       [ 76.10883  ],\n",
       "       [ 75.443535 ],\n",
       "       [ 74.22573  ],\n",
       "       [ 72.28396  ],\n",
       "...\n",
       "       [        nan],\n",
       "       [ 12.984434 ],\n",
       "       [ 18.184217 ],\n",
       "       [ 22.190067 ],\n",
       "       [ 23.744555 ],\n",
       "       [ 23.470512 ],\n",
       "       [ 22.0471   ],\n",
       "       [ 20.068745 ],\n",
       "       [ 17.677797 ],\n",
       "       [ 14.95367  ],\n",
       "       [ 12.186256 ],\n",
       "       [  9.7675705],\n",
       "       [  7.9510794],\n",
       "       [  6.6686525],\n",
       "       [  5.7187977],\n",
       "       [  5.5752697],\n",
       "       [  5.5752697],\n",
       "       [  5.5752697],\n",
       "       [  5.5752697],\n",
       "       [        nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dxc</span></div><div class='xr-var-dims'>(latc, lonc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.662e+03 1.662e+03 ... 1.65e+03</div><input id='attrs-8117f736-7b27-46cf-8d66-d1e50aa08b3a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8117f736-7b27-46cf-8d66-d1e50aa08b3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b42dcda-b6b6-404b-bcfb-690eb4bc5d07' class='xr-var-data-in' type='checkbox'><label for='data-7b42dcda-b6b6-404b-bcfb-690eb4bc5d07' title='Show/Hide data repr'><svg 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>m</dd><dt><span>long_name :</span></dt><dd>dx at T-points</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[1662.4927],\n",
       "       [1662.2529],\n",
       "       [1662.013 ],\n",
       "       [1661.773 ],\n",
       "       [1661.5327],\n",
       "       [1661.2924],\n",
       "       [1661.0519],\n",
       "       [1660.8113],\n",
       "       [1660.5704],\n",
       "       [1660.3296],\n",
       "       [1660.0885],\n",
       "       [1659.8474],\n",
       "       [1659.6061],\n",
       "       [1659.3645],\n",
       "       [1659.1229],\n",
       "       [1658.8812],\n",
       "       [1658.6393],\n",
       "       [1658.3973],\n",
       "       [1658.1552],\n",
       "       [1657.9128],\n",
       "...\n",
       "       [1654.9941],\n",
       "       [1654.75  ],\n",
       "       [1654.5057],\n",
       "       [1654.2614],\n",
       "       [1654.0168],\n",
       "       [1653.7721],\n",
       "       [1653.5272],\n",
       "       [1653.2823],\n",
       "       [1653.0372],\n",
       "       [1652.792 ],\n",
       "       [1652.5465],\n",
       "       [1652.301 ],\n",
       "       [1652.0553],\n",
       "       [1651.8096],\n",
       "       [1651.5636],\n",
       "       [1651.3175],\n",
       "       [1651.0713],\n",
       "       [1650.825 ],\n",
       "       [1650.5784],\n",
       "       [1650.3318]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dyc</span></div><div class='xr-var-dims'>(latc, lonc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.856e+03 1.856e+03 ... 1.856e+03</div><input id='attrs-c268a13c-a1f3-47e8-a208-278400130e57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c268a13c-a1f3-47e8-a208-278400130e57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80e64022-24da-42eb-b920-c441297827aa' class='xr-var-data-in' type='checkbox'><label for='data-80e64022-24da-42eb-b920-c441297827aa' title='Show/Hide data repr'><svg 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>m</dd><dt><span>long_name :</span></dt><dd>dy at T-points</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "...\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221],\n",
       "       [1855.5221]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hn</span></div><div class='xr-var-dims'>(time, level, latc, lonc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.2 0.2001 0.8863 ... 0.1304 0.2</div><input id='attrs-66281f19-5a16-40c2-af8b-018057306625' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66281f19-5a16-40c2-af8b-018057306625' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7c9a65d-f940-4ea4-8101-0ad66f379c86' class='xr-var-data-in' type='checkbox'><label for='data-e7c9a65d-f940-4ea4-8101-0ad66f379c86' title='Show/Hide data repr'><svg 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>m</dd><dt><span>long_name :</span></dt><dd>layer thickness</dd><dt><span>standard_name :</span></dt><dd>cell_thickness</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.2       ],\n",
       "         [0.20010279],\n",
       "         [0.88633025],\n",
       "         ...,\n",
       "         [0.13138993],\n",
       "         [0.1313256 ],\n",
       "         [0.2       ]],\n",
       "\n",
       "        [[0.2       ],\n",
       "         [0.20429026],\n",
       "         [1.5764906 ],\n",
       "         ...,\n",
       "         [0.13138993],\n",
       "         [0.1313256 ],\n",
       "         [0.2       ]],\n",
       "\n",
       "        [[0.2       ],\n",
       "         [0.33128   ],\n",
       "         [1.6790748 ],\n",
       "         ...,\n",
       "...\n",
       "         ...,\n",
       "         [0.13045059],\n",
       "         [0.13037302],\n",
       "         [0.2       ]],\n",
       "\n",
       "        [[0.2       ],\n",
       "         [0.32083154],\n",
       "         [0.46254253],\n",
       "         ...,\n",
       "         [0.13045059],\n",
       "         [0.13037302],\n",
       "         [0.2       ]],\n",
       "\n",
       "        [[0.2       ],\n",
       "         [0.2707965 ],\n",
       "         [0.37102824],\n",
       "         ...,\n",
       "         [0.13045059],\n",
       "         [0.13037302],\n",
       "         [0.2       ]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rho</span></div><div class='xr-var-dims'>(time, level, latc, lonc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 1.026e+03 ... 1.026e+03 0.0</div><input id='attrs-64a2698a-d1d8-4687-8798-6d81cf34e9e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64a2698a-d1d8-4687-8798-6d81cf34e9e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e220be47-b0b7-4736-9975-343d8788b2c1' class='xr-var-data-in' type='checkbox'><label for='data-e220be47-b0b7-4736-9975-343d8788b2c1' title='Show/Hide data repr'><svg 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/m3</dd><dt><span>long_name :</span></dt><dd>density</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[[   0.    ],\n",
       "         [1025.8479],\n",
       "         [1025.8668],\n",
       "         ...,\n",
       "         [1027.0327],\n",
       "         [1027.0282],\n",
       "         [   0.    ]],\n",
       "\n",
       "        [[   0.    ],\n",
       "         [1025.8477],\n",
       "         [1025.8654],\n",
       "         ...,\n",
       "         [1027.0328],\n",
       "         [1027.0284],\n",
       "         [   0.    ]],\n",
       "\n",
       "        [[   0.    ],\n",
       "         [1025.8467],\n",
       "         [1025.8625],\n",
       "         ...,\n",
       "...\n",
       "         ...,\n",
       "         [1026.1776],\n",
       "         [1026.2382],\n",
       "         [   0.    ]],\n",
       "\n",
       "        [[   0.    ],\n",
       "         [1025.0647],\n",
       "         [1025.044 ],\n",
       "         ...,\n",
       "         [1026.179 ],\n",
       "         [1026.2393],\n",
       "         [   0.    ]],\n",
       "\n",
       "        [[   0.    ],\n",
       "         [1025.0674],\n",
       "         [1025.0469],\n",
       "         ...,\n",
       "         [1026.1812],\n",
       "         [1026.2411],\n",
       "         [   0.    ]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt</span></div><div class='xr-var-dims'>(time, level, latc, lonc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan 39.01 39.15 ... 37.33 37.37 nan</div><input id='attrs-eb806638-9ae4-4009-b3a6-9aaef0269b80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb806638-9ae4-4009-b3a6-9aaef0269b80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b682bf0-fe7e-4514-8472-ef6c9fc71b30' class='xr-var-data-in' type='checkbox'><label for='data-2b682bf0-fe7e-4514-8472-ef6c9fc71b30' title='Show/Hide data repr'><svg 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>1e-3</dd><dt><span>long_name :</span></dt><dd>salinity</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[[      nan],\n",
       "         [39.00561 ],\n",
       "         [39.15271 ],\n",
       "         ...,\n",
       "         [37.952694],\n",
       "         [37.94809 ],\n",
       "         [      nan]],\n",
       "\n",
       "        [[      nan],\n",
       "         [39.00496 ],\n",
       "         [39.14986 ],\n",
       "         ...,\n",
       "         [37.952724],\n",
       "         [37.948105],\n",
       "         [      nan]],\n",
       "\n",
       "        [[      nan],\n",
       "         [39.002228],\n",
       "         [39.14445 ],\n",
       "         ...,\n",
       "...\n",
       "         ...,\n",
       "         [37.331825],\n",
       "         [37.373272],\n",
       "         [      nan]],\n",
       "\n",
       "        [[      nan],\n",
       "         [37.240654],\n",
       "         [37.206253],\n",
       "         ...,\n",
       "         [37.3317  ],\n",
       "         [37.373135],\n",
       "         [      nan]],\n",
       "\n",
       "        [[      nan],\n",
       "         [37.23983 ],\n",
       "         [37.20467 ],\n",
       "         ...,\n",
       "         [37.331474],\n",
       "         [37.372902],\n",
       "         [      nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp</span></div><div class='xr-var-dims'>(time, level, latc, lonc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan 26.65 26.94 ... 21.32 21.22 nan</div><input id='attrs-9336874b-3558-43ef-9611-b35238fe7442' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9336874b-3558-43ef-9611-b35238fe7442' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-648a7af8-c137-4783-a4c1-f1cbc367c850' class='xr-var-data-in' type='checkbox'><label for='data-648a7af8-c137-4783-a4c1-f1cbc367c850' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Celsius</dd><dt><span>long_name :</span></dt><dd>temperature</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[[      nan],\n",
       "         [26.653296],\n",
       "         [26.938892],\n",
       "         ...,\n",
       "         [19.94125 ],\n",
       "         [19.94472 ],\n",
       "         [      nan]],\n",
       "\n",
       "        [[      nan],\n",
       "         [26.652521],\n",
       "         [26.936766],\n",
       "         ...,\n",
       "         [19.940731],\n",
       "         [19.943853],\n",
       "         [      nan]],\n",
       "\n",
       "        [[      nan],\n",
       "         [26.649397],\n",
       "         [26.932861],\n",
       "         ...,\n",
       "...\n",
       "         ...,\n",
       "         [21.335123],\n",
       "         [21.231384],\n",
       "         [      nan]],\n",
       "\n",
       "        [[      nan],\n",
       "         [24.899393],\n",
       "         [24.881962],\n",
       "         ...,\n",
       "         [21.330118],\n",
       "         [21.227146],\n",
       "         [      nan]],\n",
       "\n",
       "        [[      nan],\n",
       "         [24.88836 ],\n",
       "         [24.868462],\n",
       "         ...,\n",
       "         [21.321514],\n",
       "         [21.219906],\n",
       "         [      nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velx3d</span></div><div class='xr-var-dims'>(time, level, latc, lonc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan -0.2938 -0.3146 ... 0.01851 nan</div><input id='attrs-d1ee82a3-d45e-4e94-81b3-ec773d1a910d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1ee82a3-d45e-4e94-81b3-ec773d1a910d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-345d91d3-f208-4df2-9da7-d92c959ed114' class='xr-var-data-in' type='checkbox'><label for='data-345d91d3-f208-4df2-9da7-d92c959ed114' title='Show/Hide data repr'><svg 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>m/s</dd><dt><span>long_name :</span></dt><dd>velocity in global x-direction (3D)</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[[        nan],\n",
       "         [-0.2937999 ],\n",
       "         [-0.314628  ],\n",
       "         ...,\n",
       "         [-0.05930367],\n",
       "         [-0.01283035],\n",
       "         [        nan]],\n",
       "\n",
       "        [[        nan],\n",
       "         [-0.3810824 ],\n",
       "         [-0.40235156],\n",
       "         ...,\n",
       "         [-0.0805816 ],\n",
       "         [-0.01652201],\n",
       "         [        nan]],\n",
       "\n",
       "        [[        nan],\n",
       "         [-0.36976224],\n",
       "         [-0.45521173],\n",
       "         ...,\n",
       "...\n",
       "         ...,\n",
       "         [ 0.06501891],\n",
       "         [ 0.02350444],\n",
       "         [        nan]],\n",
       "\n",
       "        [[        nan],\n",
       "         [-0.59208494],\n",
       "         [-0.6362106 ],\n",
       "         ...,\n",
       "         [ 0.06114138],\n",
       "         [ 0.02163212],\n",
       "         [        nan]],\n",
       "\n",
       "        [[        nan],\n",
       "         [-0.60938287],\n",
       "         [-0.65713423],\n",
       "         ...,\n",
       "         [ 0.05448242],\n",
       "         [ 0.01851436],\n",
       "         [        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vely3d</span></div><div class='xr-var-dims'>(time, level, latc, lonc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan -0.06018 ... -0.03729 nan</div><input id='attrs-290d5176-d8a6-4e2f-bcb3-0ed587d20f52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-290d5176-d8a6-4e2f-bcb3-0ed587d20f52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76100938-65de-43dd-9980-0a345c9919d2' class='xr-var-data-in' type='checkbox'><label for='data-76100938-65de-43dd-9980-0a345c9919d2' title='Show/Hide data repr'><svg 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>m/s</dd><dt><span>long_name :</span></dt><dd>velocity in global y-direction (3D)</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[[        nan],\n",
       "         [-0.06017986],\n",
       "         [-0.0791983 ],\n",
       "         ...,\n",
       "         [ 0.03682864],\n",
       "         [ 0.0195327 ],\n",
       "         [        nan]],\n",
       "\n",
       "        [[        nan],\n",
       "         [-0.12228055],\n",
       "         [-0.06917815],\n",
       "         ...,\n",
       "         [ 0.04981185],\n",
       "         [ 0.02637977],\n",
       "         [        nan]],\n",
       "\n",
       "        [[        nan],\n",
       "         [-0.09430743],\n",
       "         [-0.07029843],\n",
       "         ...,\n",
       "...\n",
       "         ...,\n",
       "         [-0.06884219],\n",
       "         [-0.03764568],\n",
       "         [        nan]],\n",
       "\n",
       "        [[        nan],\n",
       "         [ 0.12814434],\n",
       "         [ 0.31603146],\n",
       "         ...,\n",
       "         [-0.06859563],\n",
       "         [-0.03754602],\n",
       "         [        nan]],\n",
       "\n",
       "        [[        nan],\n",
       "         [ 0.12980214],\n",
       "         [ 0.31617272],\n",
       "         ...,\n",
       "         [-0.06802013],\n",
       "         [-0.03728823],\n",
       "         [        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z</span></div><div class='xr-var-dims'>(time, latc, lonc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan -0.4051 -0.3902 ... -0.3599 nan</div><input id='attrs-796991e0-bc08-44af-9394-0a71498f3d46' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-796991e0-bc08-44af-9394-0a71498f3d46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97e111d6-415b-4ae8-bffd-86653e305bb0' class='xr-var-data-in' type='checkbox'><label for='data-97e111d6-415b-4ae8-bffd-86653e305bb0' title='Show/Hide data repr'><svg 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>m</dd><dt><span>long_name :</span></dt><dd>sea surface elevation</dd><dt><span>standard_name :</span></dt><dd>sea surface elevation</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[        nan],\n",
       "        [-0.4050506 ],\n",
       "        [-0.39021647],\n",
       "        ...,\n",
       "        [-0.32215244],\n",
       "        [-0.32473293],\n",
       "        [        nan]],\n",
       "\n",
       "       [[        nan],\n",
       "        [-0.23940274],\n",
       "        [-0.22408697],\n",
       "        ...,\n",
       "        [-0.01086988],\n",
       "        [-0.01202948],\n",
       "        [        nan]],\n",
       "\n",
       "       [[        nan],\n",
       "        [-0.11156204],\n",
       "        [-0.09799237],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [ 0.12836783],\n",
       "        [ 0.12929113],\n",
       "        [        nan]],\n",
       "\n",
       "       [[        nan],\n",
       "        [-0.20032172],\n",
       "        [-0.20000754],\n",
       "        ...,\n",
       "        [-0.19583127],\n",
       "        [-0.19703208],\n",
       "        [        nan]],\n",
       "\n",
       "       [[        nan],\n",
       "        [-0.30331862],\n",
       "        [-0.30331296],\n",
       "        ...,\n",
       "        [-0.35678908],\n",
       "        [-0.35986918],\n",
       "        [        nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d257296d-20ee-4085-92b8-0f82ca81e76c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d257296d-20ee-4085-92b8-0f82ca81e76c' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>Persian Gulf</dd><dt><span>comment :</span></dt><dd>file created by the GOTM output_manager</dd><dt><span>history :</span></dt><dd>Thu Apr 15 14:30:13 2021: ncks -d time,1,-1 SoH_2_2011_01.nc4 SoH_2_2011_01.nc\n",
       "Sun Jan  6 13:54:52 2019 : ncmerge -H SoH_2.0190.nc SoH_2.0213.nc SoH_2.0233.nc SoH_2.nc</dd><dt><span>NCO :</span></dt><dd>netCDF Operators version 4.9.2 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:     (latc: 51, lonc: 1, time: 744, level: 40)\n",
       "Coordinates:\n",
       "  * latc        (latc) float64 26.37 26.38 26.4 26.42 ... 27.15 27.17 27.18 27.2\n",
       "  * level       (level) float64 1.0 2.0 3.0 4.0 5.0 ... 36.0 37.0 38.0 39.0 40.0\n",
       "  * lonc        (lonc) float64 56.38\n",
       "  * time        (time) datetime64[ns] 2011-01-01T01:00:00 ... 2011-02-01\n",
       "Data variables:\n",
       "    bathymetry  (latc, lonc) float32 nan 24.08 37.57 56.69 ... 5.575 5.575 nan\n",
       "    dxc         (latc, lonc) float32 1.662e+03 1.662e+03 ... 1.651e+03 1.65e+03\n",
       "    dyc         (latc, lonc) float32 1.856e+03 1.856e+03 ... 1.856e+03 1.856e+03\n",
       "    hn          (time, level, latc, lonc) float32 0.2 0.2001 ... 0.1304 0.2\n",
       "    rho         (time, level, latc, lonc) float32 0.0 1.026e+03 ... 0.0\n",
       "    salt        (time, level, latc, lonc) float32 nan 39.01 39.15 ... 37.37 nan\n",
       "    temp        (time, level, latc, lonc) float32 nan 26.65 26.94 ... 21.22 nan\n",
       "    velx3d      (time, level, latc, lonc) float32 nan -0.2938 ... 0.01851 nan\n",
       "    vely3d      (time, level, latc, lonc) float32 nan -0.06018 ... -0.03729 nan\n",
       "    z           (time, latc, lonc) float32 nan -0.4051 -0.3902 ... -0.3599 nan\n",
       "Attributes:\n",
       "    title:    Persian Gulf\n",
       "    comment:  file created by the GOTM output_manager\n",
       "    history:  Thu Apr 15 14:30:13 2021: ncks -d time,1,-1 SoH_2_2011_01.nc4 S...\n",
       "    NCO:      netCDF Operators version 4.9.2 (Homepage = http://nco.sf.net, C..."
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_winter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_description = {\n",
    "    \"lon\" : \"lonc\",\n",
    "    \"lat\" : \"latc\",\n",
    "    \"depth\" : \"level\",\n",
    "    \"time\" : \"time\"\n",
    "}    \n",
    "\n",
    "tef = constructorTEF(inputFile=ds_winter,\n",
    "                     data_description=data_description)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note**: Minus sign for velx3d since negative velocities flow into the Glf and should be therefore counted as an inflow which is defined as positive!\n",
    "\n",
    "**Note**: Calculation will around 3 minutes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### TEF analysis\n",
    "\n",
    "Lets start by calculating the volume transport across the transect. \n",
    "\n",
    "Our dataset contains 3D velocity fields `velx3d`,\n",
    "\n",
    "the cell height defined by `hn`,\n",
    "\n",
    "and the width of the cell that is given by the transect `dyc`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "volume_transport = -tef.ds.velx3d*tef.ds.hn*tef.ds.dyc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We continue by calculating the same transport terms for salt and temperature."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "salt_transport   = -tef.ds.salt*tef.ds.velx3d*tef.ds.hn*tef.ds.dyc\n",
    "temp_transport   = -tef.ds.temp*tef.ds.velx3d*tef.ds.hn*tef.ds.dyc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we use the `pyTEF` sort functions to sort the transports into salt and/or temperature space. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyTEF.calc import sort_1dim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "tef.tracer = tef.ds.salt\n",
    "tef.transport = volume_transport"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Constructing var_q and var_Q\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:00<00:00, 221.62it/s]\n"
     ]
    }
   ],
   "source": [
    "out1d_vol_transport_s  = sort_1dim(constructorTEF=tef,\n",
    "                                   N = 100,\n",
    "                                   minmaxrange=(36,41))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the upper cell we decided to sort the volume transport in terms of salinity coordinates. \n",
    "\n",
    "With `N = 100` we choose 100 discrete salinity bins ranging from $S_{min} = 36$ g kg$^{-1}$ to $S_{max} = 41$ g kg $^{-1}$ which is defined by using `minmaxrange`.\n",
    "\n",
    "We continue by using the same approach for the other transport terms."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Constructing var_q and var_Q\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:00<00:00, 227.30it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Constructing var_q and var_Q\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:00<00:00, 241.57it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Constructing var_q and var_Q\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:00<00:00, 223.16it/s]\n"
     ]
    }
   ],
   "source": [
    "tef.transport = salt_transport\n",
    "\n",
    "out1d_salt_transport_s  = sort_1dim(constructorTEF=tef,\n",
    "                                    N = 100,\n",
    "                                    minmaxrange=(36,41))\n",
    "\n",
    "tef.tracer = tef.ds.temp\n",
    "tef.transport = volume_transport\n",
    "\n",
    "out1d_vol_transport_t  = sort_1dim(constructorTEF=tef,\n",
    "                                    N = 100,\n",
    "                                    minmaxrange=(18,36))\n",
    "\n",
    "tef.transport = temp_transport\n",
    "\n",
    "out1d_temp_transport_t  = sort_1dim(constructorTEF=tef,\n",
    "                                    N = 100,\n",
    "                                    minmaxrange=(18,36))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once the sorting is ready you will end up with a xarray dataset. For example the volume transport sorted by salinity coordinates contains: \n",
    "\n",
    "`q` - volume transport per salinity class; the units are $m^3 s^{-1} (g / kg)^{-1}$ (see ...)\n",
    "\n",
    "`Q` - intergrated volume transport above a salinity threshold; the units are $m^3 s^{-1}$ (see ...)\n",
    "\n",
    "The coordinates are now showing the respective salinity class/bin.\n",
    "\n",
    "`var_q` - correspond to the salinity bin values for `q`\n",
    "\n",
    "`var_Q` - correspond to the salinity bin values for `Q`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
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       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 744, var_q: 100, var_Q: 101)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2011-01-01T01:00:00 ... 2011-02-01\n",
       "  * var_q    (var_q) float64 36.02 36.07 36.12 36.17 ... 40.83 40.88 40.93 40.98\n",
       "  * var_Q    (var_Q) float64 36.0 36.05 36.1 36.15 ... 40.85 40.9 40.95 41.0\n",
       "Data variables:\n",
       "    q        (time, var_q) float64 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    Q        (time, var_Q) float64 1.193e+06 1.193e+06 1.193e+06 ... 0.0 0.0 0.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0dfae11a-f341-41d0-82c6-e5d4c8ff8200' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0dfae11a-f341-41d0-82c6-e5d4c8ff8200' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 744</li><li><span class='xr-has-index'>var_q</span>: 100</li><li><span class='xr-has-index'>var_Q</span>: 101</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0a59ad1b-6553-4995-a4a8-da5859c1d058' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0a59ad1b-6553-4995-a4a8-da5859c1d058' 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</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2011-01-01T01:00:00 ... 2011-02-01</div><input id='attrs-6f992b60-0b3f-4324-bbcc-d2be550809a8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6f992b60-0b3f-4324-bbcc-d2be550809a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bbecf0b4-8d65-4770-b57a-cfec6924e087' class='xr-var-data-in' type='checkbox'><label for='data-bbecf0b4-8d65-4770-b57a-cfec6924e087' title='Show/Hide data 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([&#x27;2011-01-01T01:00:00.000000000&#x27;, &#x27;2011-01-01T02:00:00.000000000&#x27;,\n",
       "       &#x27;2011-01-01T03:00:00.000000000&#x27;, ..., &#x27;2011-01-31T22:00:00.000000000&#x27;,\n",
       "       &#x27;2011-01-31T23:00:00.000000000&#x27;, &#x27;2011-02-01T00:00:00.000000000&#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'>var_q</span></div><div class='xr-var-dims'>(var_q)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>36.02 36.07 36.12 ... 40.93 40.98</div><input id='attrs-77d4c40b-832c-4ae3-b410-c0ce11ed8e8e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-77d4c40b-832c-4ae3-b410-c0ce11ed8e8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b897755-e89f-48af-b029-5003f29a9b08' class='xr-var-data-in' type='checkbox'><label for='data-7b897755-e89f-48af-b029-5003f29a9b08' title='Show/Hide data 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([36.025, 36.075, 36.125, 36.175, 36.225, 36.275, 36.325, 36.375, 36.425,\n",
       "       36.475, 36.525, 36.575, 36.625, 36.675, 36.725, 36.775, 36.825, 36.875,\n",
       "       36.925, 36.975, 37.025, 37.075, 37.125, 37.175, 37.225, 37.275, 37.325,\n",
       "       37.375, 37.425, 37.475, 37.525, 37.575, 37.625, 37.675, 37.725, 37.775,\n",
       "       37.825, 37.875, 37.925, 37.975, 38.025, 38.075, 38.125, 38.175, 38.225,\n",
       "       38.275, 38.325, 38.375, 38.425, 38.475, 38.525, 38.575, 38.625, 38.675,\n",
       "       38.725, 38.775, 38.825, 38.875, 38.925, 38.975, 39.025, 39.075, 39.125,\n",
       "       39.175, 39.225, 39.275, 39.325, 39.375, 39.425, 39.475, 39.525, 39.575,\n",
       "       39.625, 39.675, 39.725, 39.775, 39.825, 39.875, 39.925, 39.975, 40.025,\n",
       "       40.075, 40.125, 40.175, 40.225, 40.275, 40.325, 40.375, 40.425, 40.475,\n",
       "       40.525, 40.575, 40.625, 40.675, 40.725, 40.775, 40.825, 40.875, 40.925,\n",
       "       40.975])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>var_Q</span></div><div class='xr-var-dims'>(var_Q)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>36.0 36.05 36.1 ... 40.9 40.95 41.0</div><input id='attrs-2f3b03ef-af8d-4c56-a620-4f210441ef6e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2f3b03ef-af8d-4c56-a620-4f210441ef6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f13d2090-1fda-4c85-9c58-7a0f85436745' class='xr-var-data-in' type='checkbox'><label for='data-f13d2090-1fda-4c85-9c58-7a0f85436745' title='Show/Hide data 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([36.  , 36.05, 36.1 , 36.15, 36.2 , 36.25, 36.3 , 36.35, 36.4 , 36.45,\n",
       "       36.5 , 36.55, 36.6 , 36.65, 36.7 , 36.75, 36.8 , 36.85, 36.9 , 36.95,\n",
       "       37.  , 37.05, 37.1 , 37.15, 37.2 , 37.25, 37.3 , 37.35, 37.4 , 37.45,\n",
       "       37.5 , 37.55, 37.6 , 37.65, 37.7 , 37.75, 37.8 , 37.85, 37.9 , 37.95,\n",
       "       38.  , 38.05, 38.1 , 38.15, 38.2 , 38.25, 38.3 , 38.35, 38.4 , 38.45,\n",
       "       38.5 , 38.55, 38.6 , 38.65, 38.7 , 38.75, 38.8 , 38.85, 38.9 , 38.95,\n",
       "       39.  , 39.05, 39.1 , 39.15, 39.2 , 39.25, 39.3 , 39.35, 39.4 , 39.45,\n",
       "       39.5 , 39.55, 39.6 , 39.65, 39.7 , 39.75, 39.8 , 39.85, 39.9 , 39.95,\n",
       "       40.  , 40.05, 40.1 , 40.15, 40.2 , 40.25, 40.3 , 40.35, 40.4 , 40.45,\n",
       "       40.5 , 40.55, 40.6 , 40.65, 40.7 , 40.75, 40.8 , 40.85, 40.9 , 40.95,\n",
       "       41.  ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9ae095f6-e74f-4ec8-b57b-25fecad244e1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9ae095f6-e74f-4ec8-b57b-25fecad244e1' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>q</span></div><div class='xr-var-dims'>(time, var_q)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-4404eedd-76af-4050-b613-f4e50f624139' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4404eedd-76af-4050-b613-f4e50f624139' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4a590c7-60e0-46df-8ee1-9cc41bb533ef' class='xr-var-data-in' type='checkbox'><label for='data-e4a590c7-60e0-46df-8ee1-9cc41bb533ef' title='Show/Hide data 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.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Q</span></div><div class='xr-var-dims'>(time, var_Q)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.193e+06 1.193e+06 ... 0.0 0.0</div><input id='attrs-8f3838a8-0bfc-4839-b9b0-bc7124882dfc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8f3838a8-0bfc-4839-b9b0-bc7124882dfc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ebef028-611e-4a98-931c-e387f14b1293' class='xr-var-data-in' type='checkbox'><label for='data-9ebef028-611e-4a98-931c-e387f14b1293' title='Show/Hide data 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([[1193472.42288715, 1193472.42288715, 1193472.42288715, ...,\n",
       "              0.        ,       0.        ,       0.        ],\n",
       "       [1499865.12156391, 1499865.12156391, 1499865.12156391, ...,\n",
       "              0.        ,       0.        ,       0.        ],\n",
       "       [1651471.95417047, 1651471.95417047, 1651471.95417047, ...,\n",
       "              0.        ,       0.        ,       0.        ],\n",
       "       ...,\n",
       "       [ 930515.2145308 ,  930515.2145308 ,  930515.2145308 , ...,\n",
       "              0.        ,       0.        ,       0.        ],\n",
       "       [ 756195.3890568 ,  756195.3890568 ,  756195.3890568 , ...,\n",
       "              0.        ,       0.        ,       0.        ],\n",
       "       [ 672781.60055845,  672781.60055845,  672781.60055845, ...,\n",
       "              0.        ,       0.        ,       0.        ]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-beb2f377-a149-4d6c-b462-bc828fa4e689' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-beb2f377-a149-4d6c-b462-bc828fa4e689' 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.Dataset>\n",
       "Dimensions:  (time: 744, var_q: 100, var_Q: 101)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2011-01-01T01:00:00 ... 2011-02-01\n",
       "  * var_q    (var_q) float64 36.02 36.07 36.12 36.17 ... 40.83 40.88 40.93 40.98\n",
       "  * var_Q    (var_Q) float64 36.0 36.05 36.1 36.15 ... 40.85 40.9 40.95 41.0\n",
       "Data variables:\n",
       "    q        (time, var_q) float64 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    Q        (time, var_Q) float64 1.193e+06 1.193e+06 1.193e+06 ... 0.0 0.0 0.0"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "out1d_vol_transport_s"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's first have a look a the mean transports for January 2011 by averaging over the time dimension."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "q_s = out1d_vol_transport_s.q.mean('time')\n",
    "q_t = out1d_vol_transport_t.q.mean('time')\n",
    "\n",
    "Q_s = out1d_vol_transport_s.Q.mean('time')\n",
    "Q_t = out1d_vol_transport_t.Q.mean('time')\n",
    "\n",
    "Qs_s = out1d_salt_transport_s.Q.mean('time')\n",
    "Qt_t = out1d_temp_transport_t.Q.mean('time')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Salinity')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(q_s, q_s.var_q)\n",
    "plt.ylim([41, 36])\n",
    "plt.xlabel(\"q\")\n",
    "plt.ylabel(\"Salinity\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the figure you can see that the inflow (positive) occurs at lower salinity values and the outflow (negative) occurs at higher salinity values, following an inverse estuarine circulation. To quantify the exchange flow TEF uses bulk values for inflow and outflow properties, which are computed in the following."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyTEF.calc import calc_bulk_values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:00<00:00, 3332.78it/s]\n"
     ]
    }
   ],
   "source": [
    "bulk_vol_s = calc_bulk_values(out1d_vol_transport_s.var_Q,\n",
    "                              Q_s)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `pyTEF` function `calc_bulk_values` uses the integrated transport `Q` to evaluate maxima and minima which are then used to compute the bulk values. The bulk values allow to characterize the exchange flow of a given estuary in terms of single values. In this example the bulk values are volume transports. (see ... )bulk_vol_s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
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       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\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:  (m: 1, n: 1, o: 3)\n",
       "Coordinates:\n",
       "  * m        (m) int64 0\n",
       "  * n        (n) int64 0\n",
       "  * o        (o) int64 0 1 2\n",
       "Data variables:\n",
       "    Qin      (m) float64 2.351e+05\n",
       "    Qout     (n) float64 -1.705e+05\n",
       "    divval   (o) float64 36.7 38.55 40.5\n",
       "    index    (o) int64 14 51 90</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b43cdf81-03a7-40f8-ae84-10e3a731a570' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b43cdf81-03a7-40f8-ae84-10e3a731a570' 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'>m</span>: 1</li><li><span class='xr-has-index'>n</span>: 1</li><li><span class='xr-has-index'>o</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ad392aaf-8337-4ebc-a992-75e3ceb45990' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ad392aaf-8337-4ebc-a992-75e3ceb45990' 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'>m</span></div><div class='xr-var-dims'>(m)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-05aa16a9-15af-4025-8d46-0a22ca69697a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-05aa16a9-15af-4025-8d46-0a22ca69697a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae6c6ce7-38ae-45cb-905f-f8c79f58e5a3' class='xr-var-data-in' type='checkbox'><label for='data-ae6c6ce7-38ae-45cb-905f-f8c79f58e5a3' title='Show/Hide data 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><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>n</span></div><div class='xr-var-dims'>(n)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-12c709b5-0527-4bc8-8960-89614775843b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-12c709b5-0527-4bc8-8960-89614775843b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad8fece6-c5dc-4137-a3c6-490fbf5ccd5e' class='xr-var-data-in' type='checkbox'><label for='data-ad8fece6-c5dc-4137-a3c6-490fbf5ccd5e' title='Show/Hide data 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><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>o</span></div><div class='xr-var-dims'>(o)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2</div><input id='attrs-6642a6f8-4978-420f-8203-e8b0c57e90e4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6642a6f8-4978-420f-8203-e8b0c57e90e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0d1654b-68df-43a5-8263-28f3f1fcf22e' class='xr-var-data-in' type='checkbox'><label for='data-a0d1654b-68df-43a5-8263-28f3f1fcf22e' title='Show/Hide data 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])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-62cbd6d7-8a48-4aea-bca0-b056dff63329' class='xr-section-summary-in' type='checkbox'  checked><label for='section-62cbd6d7-8a48-4aea-bca0-b056dff63329' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Qin</span></div><div class='xr-var-dims'>(m)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.351e+05</div><input id='attrs-89d3b2b3-0fcd-4eef-b3b7-705e66bf364a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-89d3b2b3-0fcd-4eef-b3b7-705e66bf364a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d65fece-d389-4424-83ab-c11884eaf307' class='xr-var-data-in' type='checkbox'><label for='data-2d65fece-d389-4424-83ab-c11884eaf307' title='Show/Hide data 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([235064.74767548])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Qout</span></div><div class='xr-var-dims'>(n)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.705e+05</div><input id='attrs-13c29a33-8c2b-4ea8-9968-786459c26e94' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-13c29a33-8c2b-4ea8-9968-786459c26e94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc2f7139-acf1-4ca8-96d1-a62bcaf61ca7' class='xr-var-data-in' type='checkbox'><label for='data-fc2f7139-acf1-4ca8-96d1-a62bcaf61ca7' title='Show/Hide data 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([-170513.31682439])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>divval</span></div><div class='xr-var-dims'>(o)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>36.7 38.55 40.5</div><input id='attrs-e68f1f00-3af5-4b8b-a6f6-440a1b84e0c5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e68f1f00-3af5-4b8b-a6f6-440a1b84e0c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a17f48e8-6242-4b21-95b0-c89d3e6a36ef' class='xr-var-data-in' type='checkbox'><label for='data-a17f48e8-6242-4b21-95b0-c89d3e6a36ef' title='Show/Hide data 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([36.7 , 38.55, 40.5 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>index</span></div><div class='xr-var-dims'>(o)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>14 51 90</div><input id='attrs-4b7b77d3-8be6-435c-8b8d-b8ae33f56cc6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4b7b77d3-8be6-435c-8b8d-b8ae33f56cc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4bcd7bcc-b7a6-436a-adef-3e4f2fcfe37a' class='xr-var-data-in' type='checkbox'><label for='data-4bcd7bcc-b7a6-436a-adef-3e4f2fcfe37a' title='Show/Hide data 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([14, 51, 90])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-045b091e-11f3-4bed-a2f7-75ab052443e3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-045b091e-11f3-4bed-a2f7-75ab052443e3' 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.Dataset>\n",
       "Dimensions:  (m: 1, n: 1, o: 3)\n",
       "Coordinates:\n",
       "  * m        (m) int64 0\n",
       "  * n        (n) int64 0\n",
       "  * o        (o) int64 0 1 2\n",
       "Data variables:\n",
       "    Qin      (m) float64 2.351e+05\n",
       "    Qout     (n) float64 -1.705e+05\n",
       "    divval   (o) float64 36.7 38.55 40.5\n",
       "    index    (o) int64 14 51 90"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bulk_vol_s"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`Qin` - bulk value for inflow; here volume transport\n",
    "\n",
    "`Qout` - bulk values for outflow; here volume transport\n",
    "\n",
    "`divval`- values that delimit inflow and outflow (see plot below)\n",
    "\n",
    "`index` - index of salinity class that correspond to divval."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(q_s, q_s.var_q, label = \"q\")\n",
    "plt.ylim([41, 36])\n",
    "for val in bulk_vol_s.divval:\n",
    "    plt.hlines(val,\n",
    "           xmin =q_s.min(),\n",
    "           xmax = q_s.max(),\n",
    "           color = \"black\",\n",
    "           ls = \"--\", \n",
    "           label = \"{:.2f}\".format(val.values))\n",
    "plt.plot(Q_s, Q_s.var_Q, label = \"Q\")\n",
    "plt.legend(loc=\"lower right\")\n",
    "plt.xlabel(\"q\")\n",
    "plt.ylabel(\"Salinity\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see the dividing values correspond the the extrema of `Q` and the zero crossings of `q`. They seperate inflow and outflow. These are used for computing the bulk values (Lorenz et al. (2019)). In the following we continue similarly, for the other transport terms."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:00<00:00, 2262.30it/s]\n"
     ]
    }
   ],
   "source": [
    "bulk_salt_s = calc_bulk_values(out1d_salt_transport_s.var_Q,\n",
    "                               Qs_s,\n",
    "                               index = bulk_vol_s.index)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The cell above we compute the bulk values for salt transport, by providing the value indicies from the example above (`index = bulk_vol_s.index`), which will save computational resources. So this is optional, and would work without providing the `index` option above. Yet, the benfit is that the bulk values of volume and salt transport are consistent. Using the default Q_thresh value for both separately might lead to deviations since the threshold are not consistent with each other."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:00<00:00, 3466.37it/s]\n",
      "100%|██████████| 2/2 [00:00<00:00, 2706.00it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Q_in: 235064.75 m3s-1 and Q_out -170513.32 m3s-1 from the isohaline TEF, Q_net: 64551.43 m3s-1\n",
      "Q_in: 174325.13 m3s-1 and Q_out -109773.70 m3s-1 from the isothermal TEF, Q_net: 64551.43 m3s-1\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "bulk_vol_t = calc_bulk_values(out1d_vol_transport_t.var_Q, Q_t)\n",
    "\n",
    "bulk_temp_t = calc_bulk_values(out1d_temp_transport_t.var_Q,\n",
    "                                   Qt_t,\n",
    "                                   index=bulk_vol_t.index)\n",
    "\n",
    "print('Q_in: {:.2f} m3s-1 and Q_out {:.2f} m3s-1 from the isohaline TEF, Q_net: {:.2f} m3s-1'\n",
    "      .format(bulk_vol_s.Qin.values[0],bulk_vol_s.Qout.values[0],bulk_vol_s.Qin.values[0]+bulk_vol_s.Qout.values[0]))\n",
    "print('Q_in: {:.2f} m3s-1 and Q_out {:.2f} m3s-1 from the isothermal TEF, Q_net: {:.2f} m3s-1'\n",
    "      .format(bulk_vol_t.Qin.values[0],bulk_vol_t.Qout.values[0],bulk_vol_t.Qin.values[0]+bulk_vol_t.Qout.values[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One can see that the sorting by temperature and salt gives different bulk values. The reason will be discussed in the upcoming 2 dimensional analysis of the bulk values. By calculating the fraction of the salt and volume transports one finds the bulk salinities of inflow and outflow. The same applies for temperature:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "s_in: 37.21 g/kg and s_out: 39.48 g/kg\n",
      "t_in: 24.85 °C and t_out: 26.76 °C\n"
     ]
    }
   ],
   "source": [
    "s_in  = bulk_salt_s.Qin / bulk_vol_s.Qin\n",
    "s_out = bulk_salt_s.Qout / bulk_vol_s.Qout\n",
    "\n",
    "t_in  = bulk_temp_t.Qin / bulk_vol_t.Qin\n",
    "t_out  = bulk_temp_t.Qout / bulk_vol_t.Qout\n",
    "\n",
    "print('s_in: {:.2f} g/kg and s_out: {:.2f} g/kg'.format(s_in.values[0],s_out.values[0]))\n",
    "print('t_in: {:.2f} °C and t_out: {:.2f} °C'.format(t_in.values[0],t_out.values[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In summary, the monthly averaged exchange flow can be characterized as a two layer exchange flow with inflowing colder and less saline water and with outflowing warmer and more saline water."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2-dimensional analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`pyTEF` also allows sorting by 2 variables. Here we chose to sort by salinity and temperature, which will result in a 2D-dimensional array. \n",
    "\n",
    "**Note**: When you are using two variables, you have to provide `minmaxrange` and `minmaxrange2`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyTEF.calc import sort_2dim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "tef.tracer = [tef.ds.temp, tef.ds.salt]\n",
    "tef.transport = volume_transport"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "minmaxrange is a tuple\n",
      "minmaxrange2 is a tuple\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [01:03<00:00,  1.57it/s]\n"
     ]
    }
   ],
   "source": [
    "out2d = sort_2dim(constructorTEF=tef,\n",
    "                  N=(100, 100), \n",
    "                  minmaxrange=(18, 36),\n",
    "                  minmaxrange2=(36, 41))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Computing the time average:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "q_2d_mean = out2d.q2.mean('time')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, compute the sea water density with the Gibbs Sea Water package based on TEOS10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "dens = np.zeros((len(out2d.var_q), len(out2d.var_q2)))\n",
    "\n",
    "for i in range(len(out2d.var_q2)):\n",
    "    dens[:, i] = gsw.rho(out2d.var_q2[i],\n",
    "                         out2d.var_q,\n",
    "                         0) #0 pressure since the model uses potential temperature\n",
    "dens = dens - 1000.0 #subtract a reference, typically 1000 kg/m^3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the following the monthly averaged the 2 dimensional `q` (sorted by temperature **and** salt) as well as the monthly averaged 1D `q` profiles are shown."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/fv/5295f2lx5tzc_2g7m_015gh40000gn/T/ipykernel_8045/2760537787.py:31: MatplotlibDeprecationWarning: Starting from Matplotlib 3.6, colorbar() will steal space from the mappable's axes, rather than from the current axes, to place the colorbar.  To silence this warning, explicitly pass the 'ax' argument to colorbar().\n",
      "  cbar=plt.colorbar(pcol,ticks = v, format = \"%.2f\",pad=0.1)\n"
     ]
    },
    {
     "data": {
      "image/png": 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PdLJkyWjVqhWffvopR48eJXfu3Pf0czDGGGNM9GKdWALTgJ7ANqxvpaOWLl0KQOXKlRPkelmzZqV9+/a3rfv444/Zt28fc+bMYfbs2fTq1YtevXqRMmVKUqdOTerUqQG4fv06165dI126dJQoUSLsVapUKUqWLMmBAwfo27cvy5YtI3/+/Pz00080bNjwrjEVLVqUESNGRLm9devWfPzxx0ydOpV33nnnnu7fGGOMMdGLS2J5WlXneTwSE2uzZ8+mUKFClC1b1tE4ihQpEpZQHjhwgLlz53L06FGuXLlCYGAgIkLKlClJkSIF586dY/fu3Xz11VcEBgbedp5s2bIxcuRI2rVrR/LkyT0WW40aNZg8eTK9e/fGx8cmmzLGGGPiS1wSy/4iMglYCoT1u1TVOR6LytzVuXPnWLp0KT169IiXgTtxVbBgQbp163bX/VSVo0ePsmvXLnbt2oWPjw+tWrUiTZo0Ho/p1Vdf5ZVXXuHPP/+kRo0aHj+/McYYY1zikli2BkrgGg1+61G4ApZYJqC5c+cSHBzMCy+84HQocSIi5MmThzx58vDEE0/E67Wef/55OnfuzKBBgyhfvny8XssYY4xJyuKSWJZV1fgdLWLu6vvvvyd//vxUrFjR6VC8XqpUqejTpw99+vShaNGiNG/enKpVq+Lr68uVK1cA4qWl1BhjjElq4pJYrhGRUqq60+PRmBi5cOECS5Ys4Y033vCqx+DerHfv3jz22GP06NGDYcOGMXbsWG7cuEFoaCgiQqlSpXjkkUd48MEHSZ8+PalSpSJdunSUK1eODBkyOB2+McYYc1+IS2JZFWgpIgdw9bGMdbkhEakLfA74ApNU9dMI28W9/SngKtBKVTfGIdZEad68edy8eZMXX3zR6VDuK5UqVWLFihV89NFHnDt3jrRp05IuXTquXr3K2rVrmT17NhMnTrztGBEhICCARx55hOLFi1OgQAHy589PkSJFSJ8+vUN3YowxxninuCSWde/lgiLiC4wGngCOAOtEZF6EFtB6QFH3qwow1v2nwTUaPG/evAlWZigxERGqVatGzZo179gWGhrKkSNHuHLlCteuXePMmTOsXbuWVatWMWvWLC5cuHDb/tmzZ6dYsWIUK1aM4sWLU7x4cdKkScOVK1e4evUqGTNmpEKFCmTJkiVhbs4YY4xxWKwTS1W91ylWKgP7VPVfABGZATQEwieWDYGvVVVxPXrPICI5VfX4PV47Utu3b+fq1avxcWqPCwoKYvHixXTq1Mkeg3uYj48P+fLlu21dnTp1ANco9gsXLvDff/9x4MAB9u3bx969e9mzZw8///xztLP75MuXj9KlS5MnTx5y585N0aJFqVWrFjly5IjX+zHe5fz58xw4cIDg4OB4v1Z8zsZljDHRiUuL5b3KDRwOt3yEO1sjI9snNxAvieUrr7zCpk2b4uPU8eall15yOoQkRUTImDEjGTNmjHRk+fnz59m7dy83btwgVapUpEyZkpMnT7JhwwY2bNjAnj17WLduHadPnw47JiAggFq1alGhQgXKli1LqVKlSJEiRULelvEAVeXy5ctcvHgRPz8//Pz8CAwMZO3ataxevZp169axZ88ezpw5k2Ax7du3L8GuZYwx4YmrUTABLyjyIvCkqrZ1L7cAKqtql3D7LAA+UdWV7uWlQC9V3RDJ+doB7QCyZ8/+4IwZM2IVT2BgIAcOHAgbHXw/SJMmDaVLl77n8wQGBibJ0dBO3ndQUBAHDhxg48aNbNy4ke3bt3P9+vWw7alTpyZ9+vRkyJCBBx54gEqVKvHAAw/g7+9/z9e2v+/o3bhxg8OHD3Po0CGOHj2KiJAuXTrSp0+Pv78/IoKIcO7cOf79918OHDjAsWPHOHfuHDdu3Ij0nP7+/hQrVoz8+fOTN29ecuXKhZ+fn6dv8Q5ly5YlJCQkTn/ftWrV2qCqVm7CGBMnTrRYHgHyhlvOAxyLwz4AqOoEYAJAxYoVNbK+c9FZvnw5Xbp0ufuOidDy5csj7WuY2HnTfYeEhLB//362bNnCrl27OHPmDGfPnuXIkSPMmTOHmTNnkipVKooXL07BggUpWLAguXLlInv27GF9PPPmzRujbhHedN8J6W73ffXqVYYOHcrgwYNj/AtmihQpKF26NLVq1SJnzpzkyJGD9OnTExwczM2bN/Hz86NSpUqULVs2QRLJyCTVv29jjLNilFi6WxWPAB2BYGCFqo6N4zXXAUVFpCBwFGgCNIuwzzygs7v/ZRXgYnz1rzTGSb6+vmEDgCIKDAxk+fLl/Pbbb+zdu5edO3eycOHC21o4wTUVZqVKlahWrRr169cnICDA+t/GQHBwMN999x3vvPMOR48e5fnnn6dx48YUK1aMokWL4uPjw9mzZzl79izXr19HVVFVMmXKROHChfH19XX6FowxxuvEtMWyEq7C6C8CiMjncb2gqgaLSGfgV1zlhiar6g4R6eDePg5YiKvU0D5c5YZax/V6xtyv0qRJw9NPP83TTz8dtk5VuXjxIidPnuTEiRNs376ddevW8ffff7NgwQJ69+5Nvnz5eOyxxyhbtixlypShQoUKSbo0kqqya9cu0qVLR44cObh+/TqTJ09m+PDhHDhwgEqVKjFjxgyqVq16x7G5c+cmd+7cDkRtjDH3p5gmlpeA3CLyGnAeSH0vF1XVhbiSx/DrxoV7r0Cne7mGMYmRiJAhQwYyZMhA8eLFb5v7/OjRoyxcuJAFCxYwf/58pkyZAkDKlClp27Ytjz76qFNhO0ZV+eyzz1iwYAHgaiH28/Pj+vXrPPLIIwwbNowGDRrg4+PjcKTGGJM4xDSx7IerBFBx4ArQOd4iMsbESe7cuXnttdd47bXXADh58iRbtmxh5syZjB07ljFjxvD111/j6+vL1atXSZ48OW+88QZ16tRJtI/O+/Xrx4IFC+jUqROlS5fm6NGjXLp0icaNG/PII484HZ4xxiQ6MUos3S2IP4lICeBZYLCIKK4BNfNUdVf8hWiMiYvs2bNTp04d6tSpQ//+/enevTu7du0iefLkpEqVij179lC3bl1q1KjBgAEDqFChAmnSpEk0Sebnn3/OwIEDqV+/Pl988UWiuS9jjPFmMX7+IyK9gOmAAn/jGoQjwHQR6R0/4RljPCFfvnx06dKFnTt3smnTJlatWsW+ffsYNWoUe/bsoWbNmqRLl440adJQrFgxvvzySxK6FJmnXL58mX79+tGtWzcaNWpE9+7dLak0xpgEEptyQ22BAFW9GX6liAwDdgCfRnqUMcYrJU+enE6dOtG6dWvmzp3LkSNHOHHiBKtXr6Zt27b8+OOPTJw4kZw5czodaowEBQUxceJEPvjgA06dOkXTpk2ZPHkya9ascTo0Y4xJMmKTWIYCuYCIUzrmdG8zxtyHUqVKRdOmTcOWQ0NDGTVqFG+//TYBAQFMnz6dJ5980sEIo6aq/PXXX0ybNo2ZM2dy7tw5atSowbx586hSJeKEXsYYY+JbbIZCdgOWisgvIjLB/VoELHVvM8YkAj4+Przxxhts3ryZfPny8cwzzzBz5kynw7rN9evX+fLLLwkICKBq1ap89dVXPPnkkyxevJhly5ZZUmmMMQ6JcYulqi4SkWJAZVzzdguuounrVDUknuIzxjikePHi/PHHHzzzzDM0bdqUCxcu0L59e6fDYsqUKfTp04eTJ09Srlw5pkyZwvPPP0/atGmdDs0YY5K8WE3pqKqhwB0dlkSktapO8VhUxhivkD59en799VdeeuklOnTogKrSoUOHWJ/n2rVrHDx4kOLFi9/TQJpff/2VV199lUcffZRp06ZRu3ZtG5hjjDFexFNVgQd46DzGGC+TMmVK5syZQ926denevTu7d++O8bEXLlzgk08+oUCBApQsWZIHHniAMWPGcOnSpVjHcejQIV5++WVKly7Nr7/+ymOPPWZJpTHGeJnYlBvaGsVrG5A9HmM0xjjMz8+PyZMnkypVKlq2bElwcPBdj5k9ezb58uXjnXfeoXz58gwbNowUKVLQqVMn8uTJw6xZs2J8/aCgIF566SWCgoL4/vvvSZUq1b3cjjHGmHgSmxbL7MArwDORvM56PjRjjDfJmTMnY8aM4e+//2bQoEHR7rt//37atGlDyZIl2bhxI4sWLaJ79+6sX7+ev//+mwceeIDGjRvTs2fPuyapoaGhvPHGG6xdu5avvvqKYsWKefK2jDHGeFBsEsv5QBpVPRjh9R+wPF6iM8Z4lcaNG/PSSy8xYMAAli1bRmjonZXGgoODadGiBb6+vnz//feUL1/+tu2VKlVi2bJldOzYkaFDh/Lkk09y+vTpSK937do1mjZtyvjx4+nVqxeNGjWKl/syxhjjGTFOLFX1VVVdGcW2Zp4LyRjjzcaMGUOWLFmoXbs2WbJk4ZlnnmHUqFGcOXMGgIEDB7J69WrGjRtH3rx5Iz2Hv78/o0ePZsqUKaxatYry5cvz119/3bbPiRMnqFmzJrNnz2bw4MF8+qnNwWCMMd4uVqPCjTEmc+bMbNq0iUWLFvHnn3+yYsUK5s+fT48ePXjyySf55ZdfePnll2nSpMldz9WqVSvKlSvH888/T40aNfj444/JnDkzv/32G7/++ivXr19nzpw5PPvss/F/Y8YYY+6ZJZbGmFjLnj07LVu2pGXLlgBs2bKFqVOn8u2335I/f35Gjx4d43OVK1eODRs20KpVK3r16hV2/ieffJJevXpRrly5+LgFY4wx8cASS2PMPStbtizDhg1j8ODBBAcHkyJFilgdnyFDBn788Ud+//13cuTIQalSpayUkDHG3IdinFiKyMPAGlXVeIzHGHMfS5YsGcmSxe33VRHhscce83BExhhjElJsRoW3BDaIyAwRaSUiOeIrKGOMMcYYc/+JzVzhHQBEpARQD/hKRNIDy4BFwCqbM9wYY4wxJumSe3myLSIpgVq4Es2HVbWipwKLYzyngYOxPCwLcCYewrkfJNV7t/tOWuy+Yye/qmb1dDDGmKThnhLLxEBE1judEDslqd673XfSYvdtjDEJJzZ9LI0xxhhjjImSJZbGGGOMMcYjYl0XRER6RLddVYfFPRxHTHA6AAcl1Xu3+05a7L6NMSaBxLqPpYh8B1QC5rlXPQOsAA4DqOoATwZojDHGGGPuD3FJLBcDz6vqZfdyWmC2qtaNh/iMMcYYY8x9Ii59LPMBQeGWg4ACHonGGGOMMcbct+KSWH4D/C0i74tIf2AtMNWzYcUPEUkhIn+LyBYR2SEiA8Jt6yIie9zrBzsZp6dFdd8iMlNENrtf/4nIZodD9aho7ruciKxx3/d6EansdKyeFM19lxWR1SKyTUR+FpF0TscaH0TEV0Q2ich893ImEVkiIv+4/8zodIzxIZL7ftH99x8qIlZ2yBiTIOJUx1JEKgDV3IsrVHWTR6OKJyIiQGpVDRQRP2Al0BVICfQF6qvqDRHJpqqnnIzVk6K6b1VdE26fz4CLqvqBU3F6WjR/3x8Aw1X1FxF5CuilqjUdDNWjornvL4C3VPUPEWkDFFTVfk7GGh/cAwwrAulU9Wn3L4rnVPVTEekNZFTVt52N0vMiue+SQCgwHtff+3pHAzTGJAlxKjekqhtV9XP3675IKgHUJdC96Od+KfA68Kmq3nDvl2iSSoj2voGwROQlYLoD4cWbaO5bgVutdemBYw6EF2+iue/iuAbaASwBnncgvHglInmA+sCkcKsb8v+nKlOBZxM4rHgX2X2r6i5V3eNcVMaYpCjJ1bF0Py7aDJwClqjqWqAYUE1E1orIHyJSydEg40EU931LNeCkqv7jSHDxKIr77gYMEZHDwFCgj3MRxo8o7ns70MC9y4tAXofCi08jgF64Wupuya6qxwHcf2ZzIK74NoI779sYYxJckkssVTVEVcsBeYDKIlIaVz3PjMBDQE9glrsVL9GI4r5vaUoia628JYr7fh3orqp5ge7Alw6GGC+iuO82QCcR2QCk5fZBePc9EXkaOKWqG5yOJSEl1fs2xninJJdY3qKqF4DlQF3gCDDH/Qjxb1y/9WdxLrr4E+G+EZFkQCNgpnNRxb8I990SmOPeNBtIVIN3wgt/36q6W1XrqOqDuH6R2O9kbPHgUaCBiPwHzABqi8i3wEkRyQng/jNRdXUh6vs2xpgEl6QSSxHJKiIZ3O9TAo8Du4GfgNru9cUAf+CMM1F6XjT3za33qnrEofDiTTT3fQyo4d6tNpCougBEdd8iks29zgd4FxjnWJDxQFX7qGoeVS0ANAF+V9XmuCZzaOnerSUw16EQ40U0922MMQku1lM63udyAlNFxBdXUj1LVeeLiD8wWUS243o82FLjMlzee0V63+5tTUikj8GJ+u/7AvC5u7X2OtDOwRjjQ1T33VVEOrn3mQNMcSzChPUpru4trwKHcPUvTfRE5DlclQCyAgtEZLOqPulwWMaYRC5O5YaMMcYYY4yJKEk9CjfGGGOMMfHHEktjjDHGGOMRllgaY4wxxhiPsMTSGGOMMcZ4hCWWxhhjjDHGIyyxNMYYY4wxHmGJpTHGGGOM8QhLLI0xxhhjjEdYYmmMMcYYYzzCEktjjDHGGOMRllgaY4wxxhiPsMTSGGOMMcZ4hCWWxhhjjDHGIyyxNMYYY4wxHmGJpTHGGGOM8QhLLI0xxhhjjEdYYmmMMcYYYzzCEktjjDHGGOMRllgaY4wxxhiPsMTSGGOMMcZ4hCWWxhhjjDHGIyyxNMYYY4wxHmGJpTHGGGOM8QhLLI0xxhhjjEdYYmmMMcYYYzzCEktjjDHGGOMRllgaY4wxxhiPiLfEUkRSiMjfIrJFRHaIyIBw27qIyB73+sFRHF/Xvc8+EekdX3EaY4wxxjjpbjmPiNQUkYsistn9ei+mxya0ZPF47htAbVUNFBE/YKWI/AKkBBoCZVT1hohki3igiPgCo4EngCPAOhGZp6o74zFeY4wxxpgEFYuc509VfTqOxyaYeGuxVJdA96Kf+6XA68CnqnrDvd+pSA6vDOxT1X9VNQiYgSsZNcYYY4xJTO4l5/G6fCle+1iKiK+IbAZOAUtUdS1QDKgmImtF5A8RqRTJobmBw+GWj7jXGWOMMcYkJjHNeR52dy/8RUQCYnlsgonPR+GoaghQTkQyAD+KSGn3NTMCDwGVgFkiUkhVNdyhEtnpIruGiLQD2gGkTp36wRIlSnjwDowxJmnZsGHDGVXN6nQc9ypLlixaoECBu+535coVUqdOHf8BeZjFHTVPfIaLiOhVD8VzHHYA18OtmqCqE8ItxyTn2Qjkd3cvfAr4CSgaw2MTVLwmlreo6gURWQ7UxZVNz3Enkn+LSCiQBTgd7pAjQN5wy3mAY1GcewIwAaBixYq6fv16z99AIhEaGsqUKVOYPXs2CxYswNfX1+mQjJc7d+4c/fv3J1u2bPTr18/pcEwCEJGDTsfgCQUKFCAm/x8sX76cmjVrxn9AHmZxR80Tn+GrQHsPxALwPlxX1YrR7HLXnEdVL4V7v1BExohIlpgcm9Dic1R4VndLJSKSEngc2I0ry67tXl8M8AfORDh8HVBURAqKiD/QBJgXX7EmBX///TcPPfQQbdu2JTAwkDNnIv7Ijfm/kJAQxo0bR7FixRgzZgwXL150OiRjjEms7prziEgOERH3+8q48rezMTk2ocVni2VOYKp7xJIPMEtV57tvfLKIbAeCgJaqqiKSC5ikqk+parCIdAZ+BXyByaq6Ix5jTbQuXbpE9+7dmTx5Mjlz5uTbb7+lWbNmuD+fxtxh48aNvPrqq2zevJkaNWrw+eefU7ZsWafDMsaYRCmqnEdEOri3jwNeAF4XkWDgGtDE/eTX6/KleEssVXUrUD6S9UFA80jWHwOeCre8EFgYX/ElFSlSpGD9+vX07NmTfv36kTZtWqdDMl7Ox8eHCxcuMHPmTF588UX7JcQYY+JZZDmPO6G89X4UMCqmxzopQfpYmoS1fPlyPv74Y3744QfSpk3L+vXr8fPzczos46WuX7/O8OHDOXz4MGPGjKFcuXL8888/JEtmXw/GGGNix6Z0TESOHDlCkyZNqFWrFnv37uXAgQMAllSaSKkqP//8M6VLl+add97h5MmTBAcHA1hSaYwxJk4ssUwEQkJC+PTTTylevDg//fQT/fv3Z9euXZQpU8bp0IxDgoKCAFfyGJW2bdvSoEED/P39Wbx4MT/88IMllMYYY+6J/S+SCPj4+PD7779Tp04dhg0bRsGCBZ0OyTgkMDCQzp07kzlzZj777LNo+0fWq1eP0qVL07lzZ2vVNsYY4xGWWHqx/fv3M3XqVAoVKsQrr7yCj0/kDcwiwty5c0mZMmUCR2i8ydSpUxk1ahS1atVi4MCBd93/hRdeSICojDHm/uMLpHE6iPuUPQr3Ujt37qR27dokT56cb7/9lnfffZdVq1ZFub8llWb69OmUKFGCwYMH4+fnx+nTp+9+kDHGGONBllh6qc2bN9OoUSP69u3LpEmTyJYtGzNmzODcuXNOh2a8TEhICAAjR45kw4YNLFq0iJdeeokuXbrQtWtXduywErDGGGMShiWWXqpAgQL89ddfBAYGUqBAAWrUqEHy5MmZNWuW06EZL3FrYI6vry+hoaEUK1aM5557jpdffpnq1aszfPhwgoKCmDZtGsePH3c4WuPNbCYuY4ynWGLppQoVKkSVKlX49ttvAQgICKBMmTIcP36c69ev3+Vok1gdPnyYjz/+mI0bN4a1XoeGhoYN0hk4cCB//PEHnTt3JmfOnLRv357Vq1fb4BwTqfPnz9O1a1fy5cvH7t27nQ7HGJMIWGLpoP3793Po0KFIt2XKlIlHH32UtWvXsnXrVvz9/cmXLx8rVqwgRYoUCRyp8QZDhgzhySef5L///uOLL77ggw8+AFxVAcKP/i5dunTY+4sXL5IpUyZ8fX0TPF7jvUJCQpg4cSLFihVj1KhRtGrViqxZszodljEmEbDE0iGfffYZRYsW5aOPPuLSpUt3bPf396dq1aqULFmSHj16EBISwsmTJ8mRI0ek+5vE7b///mPHjh38/vvvTJgwgfbt23PlypWwIvjgarkECA4O5tixYzRt2pS33nqLNm3akDFjRqdCN14mODiYqlWr0q5dO0qWLMmGDRsYM2YMmTNndjo0Y0wiYImlAy5duoSfnx9z5szh+PHj/Pnnn3cUslZVcufOTa9evShQoABNmzalf//+dO/enXTp0jkUuUlIZ8+epXv37nz00UeEhITw5ptvkiNHDgCyZcvG3r17w5aBsHJUyZIl48iRIxQpUoS///6b+vXrOxK/8S7nz58HXJ+PZ599lu+++44//viDcuXKORuYibUxY8YwYcIEp8MwJlKWWCaQU6dO0b17dz7++GPOnDnDCy+8wLPPPstTTz3FlClTOHLkyG37h3+0OW7cOCZMmMDu3bupXLlyQoduHDBjxgyqV69OunTpuHjxIj179rytn2RoaCjp06fn5s2bYetu3LhBmzZt2LNnD5UrV+bDDz+MtkC6SRqCgoIYMmQI+fPnZ+nSpQC8/fbbNG3a1D4f96kVK1awcuVKp8MwJlKWWCaAadOmUatWLTJmzMjx48fp3bs3ly9fBuD1119HRJg1axZXrlwBXEnD1atXadasGfv27SNZsmRkyJDBwTswCe3atWt88sknDBgwgCFDhnDjxg02b94ctn3v3r1cvXqVdOnSERwczNGjR0mePDndunWjePHizgVuvMqvv/5KmTJl6NWrFzVq1KBAgQJOh2TMfcEHSOuhV1JjiWUCuHLlCoMHD+a9997jiy++4Pz58+zcuTNse48ePViwYAFnz57l0qVLHDhwgFSpUtG/f3+KFCniYOTGKc8++yz16tULa5EsX748165dC9t+9OhRGjRowPLly6levTrLli0DsPnhTZg2bdpQt25dQkJCWLBgAT///DOFCxd2OixjTCJnUzomgBdeeIF06dJx8+ZN/Pz8KFu2bFiSEBoaysMPP0ydOnVo2LAhZ86coW/fvhQuXNhanpKwiINtVq9ezcMPPxy2vHPnTsaOHUvVqlUZPHgwVatWTegQjRe6evUqKVKkwMfHh6pVq1KsWDG6d+9O8uTJnQ7NGJNEWItlAsiUKRPJkiUL6yO3bt26sNIePj4+XL58mR9++IHkyZMzd+5cOnTo4GS4xosEBweHVQGoXbs2AFu3buXEiRMMGjSI3377zZJKg6oye/ZsSpQoweTJkwFXi2Xv3r0tqTTGJChrsUxAwcHBXL58GV9fX2rVqgW4WqJ8fX3p06cPjRo1cjhC422SJUtGUFAQuXLl4qeffmLIkCE0atSIyZMn2/zwBnC1Xnfp0oXff/+dMmXKULJkSadDMsYkYdZimYBuJQm5c+dm5syZVKhQgcWLF1OhQgVLKk3YnN8RbdiwgWnTpvHVV1/x0Ucf8e6771pSaQAYOnQoZcqUYePGjYwaNYoNGzbw6KOPOh2WMSYJsxbLeLBv3z4yZswYacHhW0nCmTNn+PTTT6lTp44DERpvcuXKFT7++GMWL17M6tWrSZbs9n+WRYsWZciQIbz55psORWi8SWhoKMHBwfj7+xMQEECbNm0YOHCgzZxjjPEK1mLpQdeuXaN///6ULl2a/v37R7pP8eLFGTp0KL/88osllUmcqjJnzhxKlSrFxx9/TMmSJbl69eod+xUqVMiSSgPApk2bqFatGgMGDACgXr16TJgwwZJKY4zXsMTSQxYsWEBAQAAffPABjRo14p133ol0v8KFC9OjR48Ejs54mzNnzlCvXj2ef/550qdPz4oVK/j6669tViUTqXPnztGxY0cefPBB/vnnH0qUKOF0SMYYEylLLD1gyJAhPP3006RIkYLff/+d7777jly5cjkdlvFCt6buTJ8+PYGBgYwYMYKNGzdSrVo1hyMz3mrBggUUK1aMCRMm0KVLF/bu3UuLFi2cDssYYyJlfSzjKCgoiPPnz5M9e3YaN24MQNeuXfH393c4MuONVJUff/yRQYMGsXjxYtKnT8+ff/5pU+qZKIWEhODr60v+/PkpV64cw4cP54EHHnA6LGOSBF+S5qw5nmAtlnGwdOlSypQpQ/PmzVFV8uXLR8+ePS2pNJH6559/wh57X7t2jRMnTgBYUmkiderUKV599VVeeeUVAEqXLs1vv/1mSaUx5r5giWUsHDt2jKZNm/L4448THBxMjx49LDkwUQoJCeHdd9+ldOnSrF69ms8//5yNGzfajEomUsHBwYwaNYrixYvzzTffkCdPHkJDQ50OyxhjYsUSyxhasWIFJUqU4Mcff+T9999n+/bt1KtXz+mwjBfz8fFh8+bNNG7cmD179vDGG2/cUUrIGHAVOX/wwQfp0qULlSpVYuvWrQwaNAgfn8TzFS0iKUTkbxHZIiI7RGSAe/37InJURDa7X09FcXxdEdkjIvtEpHfCRm+MiSn7X+4url69SqpUqShfvjzPPfcc7733HoULF3Y6LOOl9u/fT8+ePRk6dCiFChVizpw51kXCRElVEREyZ86MqvL999/TqFGjxPok5AZQW1UDRcQPWCkiv7i3DVfVoVEdKCK+wGjgCeAIsE5E5qnqzniP2hgTK4nn12EPO3PmDK+++iqVKlUiKCiItGnTMnXqVEsqTaRu1TANCAhgyZIlbN++HcCSShOp4OBgRowYwVNPPUVoaCjZs2dny5YtPP/884k1qURdAt2Lfu6XxvDwysA+Vf1XVYOAGUDDeAjTGHOPLLGMIDQ0lEmTJlG8eHG+/vpr6tevH+VUe8YALFy48LYapnv27KFBgwZOh2W81IoVKyhfvjzdu3cH4NKlS0DSGMwlIr4ishk4BSxR1bXuTZ1FZKuITBaRjJEcmhs4HG75iHudMcbL2KPwcE6ePMmzzz7LmjVrqF69OmPGjCEgIMDpsIyXW7BgASlSpGDp0qXUrl3b6XCMlzp//jxdunRh2rRp5M+fnx9//JGGDRsmiYTyFlUNAcqJSAbgRxEpDYwFPsTVevkh8BnQJsKhkf2Q7mjtFJF2QDuA7Nmzs3z58rvGFBgYGKP9vMmpU6cIDQ297+KG+/PnbWLHEktu7+eUPn16pk6dSosWLZLUF76JuRs3bvDZZ59Rs2ZNHnnkEQYNGoS/v7899jbRSpEiBRs3buTdd9+lT58+pEqVyumQHKOqF0RkOVA3fN9KEZkIzI/kkCNA3nDLeYBjkZx3AjABoGLFilqzZs27xrJ8+XJisp83GTduHPv27bvv4ob78+dtYidJPwpXVWbNmkX58uU5d+4cyZIlY9GiRbzyyiuWVJpILVmyhDJlytC3b1/mz3f9/5cmTRpLKk2kVqxYwTPPPMO1a9dImTIlW7Zs4cMPP0ySSaWIZHW3VCIiKYHHgd0ikjPcbs8B2yM5fB1QVEQKiog/0ASYF88hmyTsVoF0T7ySmiSbWP7zzz/UrVuXxo0b4+vry5kzZ5wOyXixo0eP0rhxY+rUqUNoaCiLFi3i448/djos46WOHz9OixYtqFGjBtu2bePff/8FwM/Pz+HIHJUTWCYiW3EliktUdT4wWES2udfXAroDiEguEVkIoKrBQGfgV2AXMEtVdzhxE8aY6MVbYhlVzbJw298SERWRLFEcHy81y0JDQ3n//fcpXbo0a9asYeTIkfz9998UK1bMU5cwidDMmTOZN28eAwYMYNu2bTz55JNOh2S8UEhICCNGjKB48eLMmjWLd999l507d1pfbUBVt6pqeVUto6qlVfUD9/oWqvqAe30DVT3uXn9MVZ8Kd/xCVS2mqoVVdaBT92FMfLhbziMiDd0D3DaLyHoRqRpuW1cR2e7OtbolaOCRiM8+lpHWLFPVNSKSF1c9skORHRifNctuFa1u1KgRw4YNI2fOnHc/yCRJK1eu5PLly9SrV48uXbrw3HPPUbBgQafDMl7Mx8eHH374gUcffZSRI0dStGhRp0Myxni5GOY8S4F5qqoiUgaYBZRwD4B7DVdJriBgkYgsUNV/EvYu/i/eWizvUrNsONCLqGuYebRm2bFjx2jRogX//OP6Oc+aNYvp06dbUmkidfr0aVq3bk21atUYMGAAqoqfn58llSZSJ0+epH379hw/fhwRYcGCBSxcuNCSSmNMTN0151HVQFW9lTOl5v/5U0lgjapedXcZ+QNXX2XHxGsfy8hqlolIA+Coqm6J5tAY1ywTkXbuZuH1p0+fvm1bSEgII0eOpESJEsyePZv169cDVrTaRC40NJTx48dTvHhxvv32W3r37s3SpUttIJeJVEhISNjc3lOmTGHlypUApEuXzj4zxpjwstzKU9yvdhG2xyjnEZHnRGQ3sID/l+TaDlQXkcwikgp4itsrKCS4eC03FEnNsjJAX6DOXQ6NUc0y9zVuKy9xa/26devo0KEDGzdupE6dOowePZoiRYrE5TZMErFkyRI6dOhAzZo1GT16NKVKlXI6JOOl1qxZQ8eOHdm0aROPP/54WIJpjDGROKOqFaPZHqOcR1V/xJVLVcdV8/VxVd0lIoOAJUAgsAUI9kDMcZYgo8JV9QKwHFfTbkFgi4j8h6sW2UYRyRHhkBjVLIvOd999x/Hjx5kxYwaLFi2ypNJE6uLFiyxevBiAOnXqsHjxYn7//XdLKk20Ro8ezcmTJ5k5cyaLFy+2pNIYcy9ilfOo6gqg8K3Bz6r6papWUNXqwDnAsf6VEL+jwiOrWbZJVbOpagFVLYDrh1lBVU9EODxONctUlU2bNgHw4YcfsmvXLho3bmyPpcwdVJXp06dTokQJGjVqxIULFxARnnjiCfu8mDuEhoYyYcIEtm7dCsCIESPYvXs3L730kn1ejDH36q45j4gUEfeXjYhUAPyBs+7lbO4/8wGNgOkJGPsd4rPFMqqaZZHyRM0yESE42NUCnCZNGtKnT3/vd2ESnT179vDEE0/QrFkz8uTJwx9//EGGDBmcDst4qY0bN/Lwww/Tvn17pkyZAkDmzJlJmzYplj42JmnwAdJ46HU3UeU8ItJBRDq4d3se2O4etzIaaBxuMM8PIrIT+BnopKrn7+HW71m89bFU1a1A+bvsUyDc+2O4Op3eWl4ILIztdStVqhTbQ0wScuLECcqVK0fy5MkZPXo07du3x9fX1+mwjBe6cOEC7777LmPGjCFbtmx8++23NGvWzOmwjDGJUGQ5j6qOC/d+EDAoimOrxW90sWNzhZskYceOHQQEBJAjRw7Gjx/Pk08+Sfbs2Z0Oy3ixUaNGMXbsWDp16sSHH35ordrGGBMDSXZKR5M0HDlyhBdeeIEHHniAdevWAfDKK69YUpmE/f/pUfTefPNN1q9fzxdffGFJpTHGxJAlliZRCg4OZvjw4ZQsWZIFCxbw0UcfUaZMGafDMg77+uuvad++PaNGjeLGjRvR7psyZUrKl4+2N48xxpgI7FG4SXRUlRo1avDXX3/x1FNP8cUXX1CoUCGnwzIOmzt3Lp9++ilDhw7l888/58SJEzzzzDNUqVLF6dCMMSbRsBZLk2hcvHgRVUVEaN26NT/88APz58+3pNIAsHbtWjp27MhTTz3FyJEjyZAhA9OnT+fKlStOh2aMMYmGJZbmvqeqfP311xQtWpRZs2YB0LZtWxo1amQ1Bk1Yn8py5cqxaNEiVJXixYtTrVo1RIQffvjB4QiNMSbxsMTS3Nd2795N7dq1admyJYULF6ZkyZJOh2S8xK2E8tYvFxUqVCBv3rxMmzYNgNKlS1O4cGFOnz7tWIzGGJPYWGJp7lsjRoygTJkybN68mXHjxrFq1SoboJPE7dq1i0qVKnH69Ok7Wqtz5crFww8/zG+//cbu3btJnTo1OXPmZNWqVQ5Fa4wxiY8llua+c6slKnfu3DRp0oQ9e/bQvn17fHzs45zUbdq0iQ0bNjBy5Mg7tqVKlYratWtTrFgxXnvtNU6cOMGyZcsoVKgQN2/edCBaY4y38gXSeuiV1Nj/xOa+cfz4cZo0acKgQa7JB1588UW+/vprsmXL5nBkxlsULFiQd999lxkzZrBgwQLANc+3qqKq5MmTh3feeYeHH36Yt956ixMnTvDhhx/i5+fncOTGGJM4WLkh4/VCQkIYN24c77zzDjdu3ODBBx90OiTjBQ4fPszw4cPJkSMHzZs3J1euXKxcuZIHHniAcuXK8eGHH/LUU09x/vx5MmfODMClS5dIly4dn3zyCTdv3iRFihQO34UxxiQu1mJpvNq2bdt4+OGH6dy5M5UrV2bbtm307NnT6bCMwyZOnEjdunXJkSMH27dvp3fv3ly4cIGyZcty5swZGjVqREhICClSpODrr79GVTl//jwvv/wyx44dw9fX15JKY4yJB9Ziabza1atXOXLkCN999x1NmjSx8kGG0NBQLly4wMiRI3nssce4evUqjz/+OLt27eLixYvs3buXfv36cf78ebJkycKzzz6LiJAxY0amTJlClixZnL4FY4xJtKzF0nidn376if79+wNQpUoVDhw4QNOmTS2pNAD4+PjQqlUratasSVBQEKlSpSIgIIBr165RqlQpvvrqK44ePcq+ffvo3LkzHTp0IDQ0FMCSSmOMiWeWWBqvcejQIRo2bMhzzz3H3LlzuX79OgDJkyd3ODLjbbJmzYqvry/+/v4AbN26lRQpUhAQEMDOnTuZPHkyAH369GHGjBlWMcAYYxKIfdsaxwUHBzNs2DBKlSrFb7/9xuDBg1m3bp31gTN3FRwczIkTJ0iTJg2PPPIIN27cYN++fVy5ciWslTJjxowOR2mMMUmHJZbGcceOHaNfv37UrFmTHTt20LNnTyv/YmIkWbJk3Lx5kzx58jB16lQqVqzI6tWrSZ06tbVSGmOMA2zwjnHEpUuX+Oabb+jYsSP58uVjy5YtFC5c2PpRmkidOXMmyv6R69ev55tvvuH8+fOMHTuWqlWrJnB0xpjExoekWdzcE+xXepOgVJU5c+ZQsmRJunTpwqZNmwAoUqSIJZXmDhcvXuSNN96gQIEC/Pvvv5HuU7p0aYYNG8a8efMsqTTGGIdZYmkSzK3BOc8//zxZs2ZlzZo1VKhQwemwjBdSVWbPnk3JkiUZNWoUrVu3DityHlHRokXp1q1bwgZojDEmUvYo3CSI0NBQHn/8cY4ePcqQIUPo1q0byZLZx8/cKSQkhGeffZb58+dToUIF5s2bR8WKFZ0OyxhjTAzY/+wmXm3evJmAgAD8/PyYNGkS+fLlo0CBAk6HZbxQaGgoPj4++Pr6UqpUKR5//HE6depkv4AYY8x9xB6Fm3hx+fJlunXrxoMPPsioUaMAqF69uiWVJlKrVq2iXLly/PXXXwAMGjSIrl27WlJpjDH3GUssjcf9/PPPBAQEMHLkSNq3b0+bNm2cDsl4qfPnz9OuXTuqVq3KxYsXuXHjhtMhGWOMuQeWWBqP6tOnDw0aNCB9+vSsWrWKMWPGkD59eqfDMl5o1qxZFC9enMmTJ/PWW2+xY8cOatWq5XRYxhhj7oE9ZzL3LCQkhKCgIFKmTMmzzz5LunTpeOutt6zIuYnWoUOHKFiwIIsXL6ZcuXJOh2OMMcYDLLE092Tbtm20a9eOcuXKMXbsWKpUqUKVKlWcDst4oaCgIAYPHkyJEiV44YUX6NatG927d8fX19fp0Iwx5ja+WIH0uLJH4SZOrl27Rt++falQoQL79u3j0UcfdTok48X+/PNPypUrR79+/Vi+fDngmo7RkkpjjElcLLE0sbZ+/XrKlCnDxx9/zMsvv8yuXbto3ry502EZL3Tu3Dnatm1L9erVuXr1KgsWLAirEmCMMSbxsUfhJtayZMlC6tSp+e2333jsscecDsd4sWXLlvHVV1/x1ltv8f7775M6dWqnQzLGGBOPLLE0d6WqfPfdd/z6669MnTqVAgUKsGnTJpvb20Rq//79bNq0iRdeeIFGjRqxe/duihQp4nRYxhhjEoA9CjfROnDgAPXq1aN58+bs3buXixcvAlhSae5w8+ZNPvnkE0qXLk3nzp25du0aImJJpTHGJCGWWJpIBQcHM3ToUAICAli1ahVffPEFq1atIkOGDE6HZrzQ6tWrqVChAu+88w7169dnw4YNpEyZ0umwjBcRkRQi8reIbBGRHSIywL1+iIjsFpGtIvKjiGSI4vj/RGSbiGwWkfUJGrwxJsbiLbH0wJdIXRHZIyL7RKR3fMVpInflyhWGDRvGE088wc6dO+ncubON4DWROnjwINWqVePChQvMmzeP77//nty5czsdlvE+N4DaqloWKAfUFZGHgCVAaVUtA+wF+kRzjlqqWk5VK8Z7tMYkoLvlPCLysjtv2ioif4lI2XDburvzrO0iMl1EUiRs9LeLzxbLOH+JiIgvMBqoB5QCmopIqXiM1eBKJgcPHszNmzdJnz49GzZs4KeffiJv3rxOh2a8jKqyadMmAPLnz8/MmTPZuXMnzzzzjMORGW+lLoHuRT/3S1V1saoGu9evAfI4EqAxDolhznMAqOHOnT4EJriPzQ28AVRU1dK4SnA2SajYIxNvieU9folUBvap6r+qGgTMABrGV6wGfv31V0qXLs3bb7/Nb7/9BkDOnDmtL6W5w+HDh2nYsCEVKlRg3bp1ADz//POkTWvlhE30RMRXRDYDp4Alqro2wi5tgF+iOFyBxSKyQUTaxWOYxiS0u+Y8qvqXqp53L0bMnZIBKUUkGZAKOJYAMUcpXkeFu7PwDUARYHQUXyIzIzk0N3A43PIRwKZziQenT5+mR48efPvtt5QoUYIVK1ZQrVo1p8MyXigkJIRRo0bx7rvvEhoaypAhQyhfvrzTYZn7iKqGAOXcXaB+FJHSqrodQET6AsHAtCgOf1RVj4lINmCJiOxW1RXhd3AnnO0AsmfPHlaMPzqBgYEx2s+bnDp1itDQ0Psubrh/ft6+QJqEu1xsc55Xcf8CpqpHRWQocAi4BixW1cXxFWhMxGtieQ9fIpE1k2lk1wj/RZIvXz5PhJ2kNGnShD///JN+/frRt29fkidP7nRIxgupKo899hh//PEHdevWZcyYMRQsWNDpsMx9SlUviMhyoC6wXURaAk8Dj6lqpN/1qnrM/ecpEfkRVyvPigj7TMD9iLBixYpas2bNu8ayfPlyYrKfNxk3bhz79u277+KG+/Pn7QFZIgw4m+D+rN4Sm5ynFq7Esqp7OSOu1s2CwAVgtog0V9VvPRF4XCRIHcs4fIkcAcJ37MtDFE27Eb9IPBl3YvXff/+RIUMGMmTIwLBhw/D19aV06dJOh2W80PXr10mePDkiQrNmzWjfvj1NmjSxLhIm1kQkK3DT/f9BSuBxYJCI1AXextV/7GoUx6YGfFT1svt9HeCDhIrdmHt05i4DzmKU84hIGWASUE9Vz7pXPw4cUNXT7n3mAI8AjiWW8TkqPOutEd/hvkR2h/sSaRDVlwiwDigqIgVFxB9XR9R58RVrUhESEsLw4cMJCAigX79+AJQtW9aSShOpJUuWEBAQwKxZswBo164dTZs2taTSxFVOYJmIbMX1Hb9EVecDo4C0uB5vbxaRcQAikktEFrqPzQ6sFJEtwN/AAlVdlPC3YEy8uGvOIyL5gDlAC1XdG27TIeAhEUklri/nx4BdCRR3pOKzxTInMNXdz9IHmKWq80VkH5Ac15cIwBpV7SAiuYBJqvqUqgaLSGfgV1xdHSar6o54jDXR27p1K23btmXdunXUr1+fXr16OR2S8VKnT5/mzTff5JtvvqFo0aLkypXL6ZBMIqCqW4E7OuWqaqQV9N2Pvp9yv/8XKBvZfsbc76LKeUSkg3v7OOA9IDMwxp07BatqRVVdKyLfAxtxdS/chPsprlPiLbG8ly8R9/JCYGFk+5rY+fbbb2ndujUZM2ZkxowZvPTSS9bqZCL1ww8/0L59ey5dukS/fv145513SJHC0ZJoxhiT6EWW87gTylvv2wJtozi2P9A/XgOMBZsrPBELDg4mWbJkVKtWjdatW/PJJ5+QOXNmp8MyXkxVKVasGBMnTiQgIMDpcIwxxtxnbErHROjixYt06NCBBg0aoKrkz5+fCRMmWFJp7hAcHMyQIUMYMWIE4KpHuXLlSksqjTHGxIkllonM3LlzKVWqFBMnTqRkyZIEBwff/SCTJG3cuJHKlSvTq1cv1qxZg6oiIvj42NeCMcaYuLFH4YnEmTNn6NixI7Nnz6ZMmTL89NNPVKpUyemwjBe6evUq/fv3Z9iwYWTLlo3Zs2fz/PPPW79bY4xx88FVqsDEnjVNJBLJkiVj/fr1fPTRR6xfv96SShOl7du3M2zYMF599VV27tzJCy+8YEmlMcYYj7AWy/vYgQMHGDp0KCNGjCBDhgzs2rXLZs4xkTp79iy//PILzZs3p3Llyvzzzz8UKlTI6bCMMcYkMtZieR8KCQlhxIgRlC5dmq+//potW7YAWFJp7qCqzJgxg5IlS/Lqq69y5MgRAEsqjTHGxAtLLO8zO3bs4NFHH6V79+7UqFGDHTt2ULFidDNFmaTq8OHDPPPMMzRt2pQCBQqwbt068uTJ43RYxgsFBQU5HYIxJpGwxPI+oqq0bt2affv28c0337BgwQLy5cvndFjGC12/fp1KlSqxbNkyhg8fzurVqylTpozTYRkvExoayvjx4ylUqBAHDx50OhxjTCJgfSzvA+vXr6dIkSJkyJCBb775howZM5ItWzanwzJe6L///iN//vykSJGCsWPHUr58eQoUKOB0WMYL7dq1i3bt2rFy5Upq1aqFqjodkjEmEbAWSy929epV3nrrLapUqcJHH30EQPHixS2pNHcICgpiwIABFCtWjFmzZgHw3HPPWVJp7qCqfPjhh5QrV44dO3YwZcoUli5dap8VY4xHWIull1q+fDlt27Zl//79tGvXjn79+jkdkvFSa9eu5dVXX2XHjh00bdqUWrVqOR2S8WIiwqFDh2jUqBEjRowge/bsTodkjElELLH0QmPHjqVjx44ULlyYZcuWUbNmTadDMl7qo48+4r333iN37tzMnz+f+vXrOx2S8UKXLl3inXfeoWXLllSqVImxY8eSLJl9/RsTJT8/yJLFM+c6ftwz57lP2KNwL3Ljxg0A6tevz9tvv83WrVstqTSRutUfrlSpUrz++uvs2LHDkkoTqXnz5lGqVCnGjBnDypUrASypNMbEG0ssvcDZs2dp3rw5DRs2RFXJly8fn376KalSpXI6NONlzp07R6tWrRgyZAgAjRo1YvTo0aRLl87hyIyTohp4M2/ePBo2bEimTJlYvXo13bt3T+DIjDFJjSWWDlJVZs+eTalSpZg5cyYPPfQQISEhTodlvNCtz0rJkiWZNm1aWOu2Sdq+//57gCin5HzqqacYP348GzZsoEqVKgkZmjEmibLnIQ45c+YM7du3Z86cOTz44IMsWbLE6gyaSB07doxOnTrx008/8eCDD7J48WLKli3rdFjGQZs2beLtt98mZcqUNGjQgGTJkuHjc2c7QbJkyWjXrp0DERpjkiprsXSIn58fW7ZsYdCgQaxZs8aSShOlQ4cOsWTJkrDPiiWVSdvs2bOpXbs27du3Z+7cufj7+0eaVBpjjBOsxTIBHTp0iCFDhvDZZ5+RPn16du7cib+/v9NhGS/077//8ssvv9CpUyceeughDh8+TMaMGZ0Oy3iBsmXLkjp1aurWrQvAlClTyJkzJw899BAZMmRwNjhjTJJniWUCCA0NZeLEifTs2ZPQ0FBatGhB5cqVLak0dwgJCWHkyJH07dsXf39/XnrpJbJmzWpJpQFcn49ixYrRpUsXypUrR86cOSlSpAgHDx6kVKlSNG7cmKpVqzodpjEmCbPnJ/Hs33//5fHHH6dDhw5UrlyZbdu2UblyZafDMl5ox44dPProo/To0YPatWuzfft2smbN6nRYxkFnz569baDWrUfeb7/9NlWrVuX1119n8uTJTJs2DRFh3759ToVqjDGAtVjGuxYtWrBt2zYmTJhA27Ztoxy9aZK2wMBAqlatiq+vL9999x1NmjSxz0oS179/f/bu3cvnn38eNo2riBASEoKvry8TJkzAz88PgBw5cpAqVSouXrzoZMjGGGOJZXzYu3cv2bJlI0OGDEyaNIk0adKQN29ep8MyXmjPnj0UK1aMNGnS8N1331GxYkVrpUzi/vvvP15++WXy5MnDqFGjwj4PqoqI4OvrCxCWVAKMGzeOn3/+mXHjxjkSszGJjp8f5MrlmXPZzDsmrkJCQhg6dChly5YNm9u7ZMmSllSaO1y7do23336bUqVKMWvWLADq1atnSaVh7dq1pEuXjvfee4+sWbOyd+9erly5QlBQEAA3b94M2/fKlSt06tSJ2bNnM3fuXKpVq+ZU2MYYA1iLpcfs3LmT1q1b8/fff/Pss8/yzjvvOB2S8VJ//vknbdu2Ze/evbRt25Ynn3zS6ZCMwzZt2sT06dMpXbo0NWrU4J9//mHOnDkMGjSIAwcOUKhQIfz9/Zk4cWJYS+WGDRt48MEH6dmzJwUKFHD2Bowxxs1aLD1g9uzZlC9fnv379zN9+nTmzJlDzpw5nQ7LeKEBAwZQvXp1goKCWLJkCRMnTrQSMUncoEGDePnllylQoADjx4/n+++/p2LFiqxfvx4/Pz8WLVpE7969OXfuHJ9++ikAu3fvZuzYsdy8edOSSmOMV7EWy3twq89TlSpVaNKkCUOGDAnrZG9MeLc+K2XKlKFLly58/PHHpEmTxumwjMMuXbrE8ePHmT59OmXLlqV69eo0b96c33//nSJFilCkSBHA1aWmVq1aYY/BS5QowaRJk5wM3RhjImUtlnFw8+ZNPvzwQxo0aICqki9fPqZOnWpJpbnDxYsXee211xg8eDAAzz33HCNHjrSk0gCQNm1a3n77bcqWLUtQUBClS5cmX758nDhxgsKFC4ftd+7cOebMmUOWLFkcjNYYY+7OEstY2rx5M5UrV+a9994jTZo0XL9+3emQjJeaP38+pUqVYvLkyVy5csXpcIwXEpGwbjP+/v7cvHmTgwcPkjJlSkSEmzdv8sUXX1CjRg2efvppWrRo4XDExhgTPXsUHkNBQUF8/PHHDBw4kMyZMzNnzhyee+45p8MyXujs2bN07dqVadOmUbp0aX766ScqVarkdFjGy4WEhPDPP/+QJ08eChYsyKFDh/j3338JDQ3lp59+uq0F0xhjvJW1WMbQtWvX+PLLL2ncuDE7duywpNJEad++fXz//fe89957bNiwwZJKEyO+vr6EhoaSI0cORo0aRc2aNTl9+jRdu3a1pNIYc9+wFstoBAUFMX78eNq3b0/69OnZtGmT9XEykTp16hQLFiygdevWVKlShYMHD5I9e3anwzJe6Pz581HO/b5+/XqmTJnC9evX+eWXXyhevHgCR2eMATxbIH3DBs+c5z5hLZZR2LRpE5UqVeKNN97g559/BrCk0txBVZk+fTqlSpXi9ddf5+jRowCWVJo7BAYG0rVrV4oUKcLxKGbiqFy5MqNGjWLatGmWVBpj7kuWWEYQFBRE//79qVy5MqdOnWLu3Lk8//zzTodlvNDx48dp1KgRzZo1o3DhwmzYsIHcuXM7HZbxQkuXLqVMmTKMHDmSZs2aRVkVoFSpUnTs2DGBozPGGM+Jt8RSRFKIyN8iskVEdojIAPf6TCKyRET+cf8Z6TMhEakrIntEZJ+I9I6vOCNq06YNH3zwAU2bNmXHjh00aNAgoS5t7iM3btygcuXKLFq0iMGDB7Nq1SoCAgKcDst4mZCQEF577TUef/xx/Pz8+PPPP/niiy9Imzat06EZY7zI3XIeESkhIqtF5IaIvBVufXER2RzudUlEunkoptZxOS4+WyxvALVVtSxQDqgrIg8BvYGlqloUWOpevo2I+AKjgXpAKaCpiJSKr0CDgoIIDAwE4K233mLu3Ll8/fXXZMqUKb4uae5TZ86cQVVJnjw5I0aMYPPmzfTs2ZNkyay7srmTr68vQUFB9OrVi82bN1O1alWnQzLGeJkY5jzngDeAoeFXquoeVS2nquWAB4GrwI8eCm1AXA6Kt8RSXQLdi37ulwINganu9VOBZyM5vDKwT1X/VdUgYIb7OI+7VZfyjTfeAKBcuXLWSmnuoKpMmTKFokWLMm3aNACef/556wdn7nD27FlatWrF9u3bAfjqq68YNGgQKVOmdDgyY4yXumvOo6qnVHUdcDOa8zwG7FfVgzG9sIhsjeK1DYjTYIF47WMpIr4ishk4BSxR1bVAdlU9DuD+M7LpanIDh8MtH3Gvi+wa7URkvYisP336dIxju3nzJh988AGVKlXixIkTlkyaKB05coT69evTpk0bHnjgAR566CGnQzJe6ocffqBUqVJMmzaNv//+G3AVQTfGJGlZbuUp7le7CNtjnPPcRRNgeiyPyQ68AjwTyetsHGKI33JDqhoClBORDMCPIlI6hodG9k2sUVxjAjABoGLFipHuE9HevXtp0qQJmzZtolmzZowcOZLMmTPHMDSTlMycOZN27doRHBzMyJEj6dSpEz4+NubN3O7UqVN07tyZ2bNnU6FCBZYsWUKZMmWcDssY4x3OqGrFaLbHOOeJ8gQi/kADoE9sjgPmA2lUdXMk51wey3MBCTQqXFUvAMuBusBJEckJ4P7zVCSHHAHyhlvOAxzzVDwpUqTg8uXLzJkzh2nTpllSaaKUPHlyypcvz9atW+nSpYsllSZSY8aMYe7cuXz88cesXbvWkspI3K8DOo1JAJ7IeeoBG1X1ZGwOUtVXVXVl+HUiksO9rVksYwDiscVSRLICN1X1goikBB4HBgHzgJbAp+4/50Zy+DqgqIgUBI7iat6N0w3esnPnTr788kuGDh1Kvnz52L17N76+vvdySpMIqSqTJ08Oqzn47LPP0rBhQ3ucae5w7Ngxjh8/zoMPPkjv3r1p0qQJJUqUcDosb3ZrQGegiPgBK0XkF6ARrgGdn7oTxt7A2+EPDDe44Qlc/wmvE5F5qrozYW/BJBl+fpAzZ0JdzRM5T1Ni/xg8KguBCnE9OD6bX3ICy0RkK64f2hJVnY8roXxCRP7B9SXxKYCI5BKRhQCqGgx0Bn4FdgGzVHVHXIIICQlh8ODBlC9fnqlTp3LgwAEASyrNHQ4fPky9evVo27YtixYtQtX1JMKSShOeqvLVV18REBBAixYtCA0NJUWKFJZU3sX9MqDTmIQWVc4jIh1EpAO4WhFF5AjQA3hXRI6ISDr3tlS48qk5Hgrpnv7Ti7cWS1XdCpSPZP1ZXCOXIq4/BjwVbnkhrqw5zvbu3UvLli1Zs2YNzz33HGPHjrUZUcwdbrVS9ujRg5CQEEaPHk2HDh0soTR3OHLkCO3ateOXX36hatWqfPnll9Y9IhbcLY8bgCLAaFVdKyK3DegUkZgO6KwSyfnbAe3ANfvV8uXL7xpTYGBgjPbzJqdOnSI0NPS+ixvuz593Qogs51HVceHen8D1iDyyY68CnuzTN/FeDk60xfdCQkJ45plnOH36NNOmTaNp06aWKJhI7dq1i3bt2lG9enW+/PJLChUq5HRIxgvt2rWLhx56iODgYD7//HM6d+5sSWUsxfeAzoiDOWvWrHnXEy9fvpyY7OdNxo0bx759++67uOH+/HknZiJSBFe1nlW31qnqGBGpBhxT1f2xPWei+1b877//CAoKwtfXl2+++Ybt27fTrFkzSyrNbVSV1atXA65p9FauXMnSpUstqTR3CAoKAqB48eK0b9+erVu38sYbb1hSeQ+8bUCnMUnYCOByJOuvubfFWqL6ZlRVHnnkET799FMAKleuTK5cuRyOynibo0ePUr9+fR555JGwWoMPP/ywJQrmNqrK+PHjKVq0KMeOHcPHx4fBgwdTuHBhp0O7L4lIVndLJeEGdO7m/wM6IQYDOt1lVZq4jzPG3JsC7q6Lt1HV9UCBuJwwUT0KFxEmT55sczabSKkqX3/9NV27diUoKIjPP/+cihWjKy1mkqr//vuPtm3bsnTpUmrXrk1ISIjTISUGOYGp7n6WPrgGKMwXkdXALBF5FTgEvAiuAZ3AJFV9SlWDReTW4AZfYHJcB3QaY26TIpptcZouLFEllgB169Z1OgTjpZo1a8aMGTOoWrUqU6ZMoUiRIk6HZLzMrVbKnj17Aq6+bO3atbOuNB7gDQM6jTF3WCcir6nqbQN23L/obYjLCRNdYmlMeOFLBtWqVYsqVarQpUsXKzdlIiUirFq1ioceeohJkyaRP39+p0Myxpj41A3XQLqX+X8iWRHwB56LywktsTSJ1smTJ+nQoQONGjWiRYsWtGsXcXpWYyA0NJTx48dTrVo1SpcuzYQJE0iRIoW1UhpjEj33TD2PiEgt4FaVhgWq+ntcz2mJpUmUZs2aRceOHQkMDOSJJ55wOhzjpQ4cOMCrr77KsmXL6N69O8OGDSNlyjh1KzLGJCZ+fpBEBv+6C6z/rarLPHE+SyxNonLmzBk6duzI7NmzqVSpEl999RWlSpVyOizjZW61Uvbs2RMfHx8mTJhA27ZtnQ7LGGMSlIi8ATwMhIrIOlUdca/ntMTSJCp//fUXP/30EwMHDqRXr14kS2YfcXOnSZMm0bFjR5544gkmTZpEvnz5nA7JGGOc0BJXn0oB1hPH2pXh2f+65r53/vx5/vrrL+rXr0+DBg3Yv38/efPmvfuBJklRVY4ePUqePHlo2bIladKksRm5jDFJ3WD+P8f4CE+c0BJLc19btGgRr776KhcuXODQoUNkzpzZkkpzh4MHD9K2bVv27t3Ljh07SJMmDc2aNXM6LGOMcZSqzgRmevKcNtWIuS9dunSJ1157jXr16pExY0ZWrFhB5syZnQ7LeBlVZeLEiTzwwAOsWbOGPn36kDp1aqfDMsaYRMtaLM1959q1a1SoUIEDBw7w9ttvM2DAAJInT+50WMbLXLp0iRdffJHFixdTu3ZtvvzySwoUKOB0WMYYk6hZYmnuG8HBwSRLloyUKVPyxhtvULFiRR555BGnwzJeKk2aNCRPnpxRo0bx+uuv21zwxhiTAOyb1twX1qxZQ+nSpfn9d1fN1jfeeMOSSnOHY8eO0axZM44ePYqPjw9z586lU6dOllQaY0wCsRZL49Vu3LjB+++/z+DBg8mTJ4+VDzKRUlWmTZtGly5duH79Ok2aNCF37tw24tsYEzd+fpAzp9NROEpEWqvqlNgeZ7/GG6+1ZcsWKleuzKeffkrr1q3Ztm0b1atXdzos42VOnjzJ888/T4sWLShZsiRbtmyhQYMGTodljDH3uwFxOSjK5h8ReRJIq6rfR1j/MnBKVZfE5YLGxNSff/7JqVOn+Pnnn3n66aedDsd4qQEDBrBw4UIGDx5Mjx498PX1dTokY4y5L4jI1qg2Adnjcs7onisOAJ6JZP1S4EfAEkvjcXv37mX//v3Uq1ePjh078vLLL5MxY0anwzJe5uzZs1y4cIHChQszcOBAOnXqREBAgNNhGWPM/SY78CRwPsJ6Af6KywmjexSeSlVPR1ypqicAKwRnPCo0NJQvvviCcuXK0blzZ4KDg/Hx8bGk0tzh559/pnTp0rz88suoKhkzZrSk0hhj4mY+kEZVD0Z4/Qcsj8sJo0ssU4jIHS2aIuIHpIzLxYyJzOHDh6lTpw5vvPEGNWvW5M8//7RBOuYOFy9epHXr1jRo0IBs2bIxfvx4G5xjjDH3QFVfVdWV4deJSA73tjhNTxbd/95zgIki0llVr7gvlhoYyf/nlTTmnhw5coTSpUsTGhrKhAkTaNu2rSUL5g67d++mTp06HDt2jL59+/Lee+/h7+/vdFjGGJMYLQQqxPXg6BLLd4GPgIMictC9Lh/wJdAvrhc0BuDmzZv4+fmRJ08e+vbtywsvvEChQoWcDst4qQIFClCpUiXefvttKleu7HQ4xhiTmN1T606Uj8JVNVhVewN5gVbuVz5V7a2qN+/loiZpmzdvHoULF2bbtm0A9OrVy5JKc4dVq1bx2GOPcenSJVKkSMEPP/xgSaUxxsS/ifdycLQd2USkGCCquu1eLmIMuOZu7tatG1OmTKFcuXLWj9JE6vr16/Tr14/PPvuMAgUKcPjwYRucY4xJWP7+SbJAurvL4/h7OUd0dSw/dW8PFRFR1Z73ciGTtP3xxx+0bNmSw4cP884779C/f3/rI2fusHHjRl555RV27NhB+/btGTJkCGnTpnU6LGOMSZRExAdoArwMVAJuAMlF5DSuvpYTVPWf2Jwzuiajx4Cq7vdxqmVkzC2LFi3Cz8+PlStX8vDDDzsdjvFSffr04fz58/zyyy/UrVvX6XCMMSaxWwb8BvQBtqtqKICIZAJqAZ+KyI+q+m1MTxhdYvkWMBVXJ84+cQ7ZJFmbN2/m6tWrPPLII7z//vu8++67pE5tJVDN7Xbv3k26dOnIlSsXU6ZMIWXKlFa/1BhjEsbjkY2bUdVzwA/AD+4ykzEW3eCdP1S1iao2VtXFsY/VJFUhISF8+umnVK5cmTfffBNVJXny5JZUmtuEhoYyYsQIypcvz1tvvQVArly5LKk0xpgEEpPB2LEdsG2jJ4xH/fvvv7zyyiusWrWKF198kbFjx1pdSnOHgwcP0qpVK5YvX87TTz/NsGHDnA7JGGOSLBHpEcnqi8AGVd0cm3NZYmk8ZseOHTz00EP4+vryzTff8PLLL1tSae7wxx9/8MwzzwDw5Zdf0rp1a/ucGGOMsyq6Xz+7l+sD64AOIjJbVQfH9ETRTeloTIyEhIQAULJkSTp37szWrVtp3ry5JQsmUmXKlOGpp55i69attGnTxj4nxhjjvMxABVV9U1XfxJVkZgWq46pjHmNRJpYisl5EPheRuiKSIrYRikheEVkmIrtEZIeIdHWvLycia0Rks/sakVY8dl93j4jsE5Hesb2+SRjz5s0jICCAI0eO4OPjwyeffEK+fPmcDst4mR9//JF69epx8+ZNMmbMyIwZMyhQoIDTYRljjFe4W84jLiPd27eKSIVw2zKIyPcistudc8Wl9Eo+ICjc8k0gv6pew1WCKMaia7F8CPgRqAn8ISILRaSru2h6TAQDb6pqSfe5OolIKWAwMEBVywHvuZdvIyK+wGigHlAKaOo+1niJy5cv07ZtWxo2bEjKlCm5evWq0yEZL3Tx4kVatWpFo0aNOHXqFKdPn3Y6JGOM8SoxzHnqAUXdr3bA2HDbPgcWqWoJoCywKw5hfAesEZH+ItIfWAVMdxdM3xmbE0XZx1JVg4Hl7hcikhPXjX0kIkWANaraMZrjjwPH3e8vi8guIDegQDr3bumBY5EcXhnYp6r/uq89A2hILG/OxI+//vqLFi1acODAAd5++20++OADK3Zu7rBs2TJatWrF0aNHeffdd+nXr599TozxABFBVZ0OI3Hz84NcuRLqajHJeRoCX6vrL36Nu5UyJ3CFcI+rVTWI21seY2qh+1UVV5nJDkBOVb2Cq3h6jMV48I47UZwMTHZXao9xU6uIFADKA2uBbsCvIjIUV4vpI5Eckhs4HG75CFAlptcz8WvcuHGEhobyxx9/UK1aNafDMV4oJCSErl27kjx5clatWkWVKvbP1xhPSZYsWVjfdpMoxCTniWyf3LieDp8GpohIWWAD0NWdEMbGRKClqn4OICJNceVrP0d3UGTiNCrcXZl9VUz2FZE0uIpsdlPVSyLyEdBdVX8QkZeAL4HHIx4W2WWjOH87XM3C1rcvHu3ZswdVpUSJEowaNQqAdOnS3eUok9Rs3ryZwoULkzZtWn766SeyZ89u9UuN8TA/Pz9LLO8vWURkfbjlCao6IdxyTHKeqPZJBlQAuqjqWhH5HOgN9ItljC8A34vIy7haLV8B6sTyHEA8jwp3V2v/AZimqnPcq1sCt97PxtUEHNERIG+45TxE/sgcVZ2gqhVVtWLWrFk9E7gJo6qMGTOG8uXL07lzZ8CVUFpSacILDg5m4MCBVKpUiffffx+AQoUKWVJpTDw4fvy4VVO4v5y5lae4XxMibI9JzhPVPkeAI6q61r3+e1yJZqy4H8M3wZWzvQDUUdWLsT0PxGMdS3F96r8Edqlq+OrHx4AauPpu1gYim9x8HVBURAoCR3HdbLP4itVE7sSJE7Rp0yZs3ubJkyc7HZLxQvv27eOVV15h9erVNG7cmL59+8b6HMePx2y/nDljfWpjEpU///yTRYsW0apVK6dDMZ4Tk5xnHtDZ3f+yCnDR3UURETksIsVVdQ/wGLEYjyIi27i9dTQT4AusdfflLRPbm7lrYukeBT4WyK6qpUWkDNBAVT+6y6GPAi2AbSKy2b3uHeA14HMRSQZcx/0YW0RyAZNU9SlVDRaRzsCv7hucrKo7YntzJu62bt3KY489RmBgIF988QWdOnWy35DNHebPn0+TJk3w8/Nj2rRpNGtmv/8ZE19CQ0N58803yZUrFy+99JLT4RgPiSrnEZEO7u3jcA2seQrYB1wFWoc7RRdgmoj4A/9G2HY3T3vgFm4TkxbLiUBPYDyAqm4Vke+AaBNLVV1J5H0CAB6MZP9juH5ot5ZvjVAyDihevDj16tWjT58+lCxZ0ulwjJcqXbo0TzzxBCNHjiRv3rx3P8AYEyeXL19m0KBBrFu3jq+++oqUKVM6HZLxoMhyHndCeeu9Ap2iOHYzroLmcZELV5Ufj5UZiEkfy1Sq+neEdcGeCsB4jzVr1vDEE09w8eJFkidPztdff21JpbnDTz/9RMuWLVFVChQowI8//mhJpTHx5NixY/Tp04d8+fIxcOBAGjRoQIsWLZwOyyQeLYENIjJDRFqJSI57PWFMWizPiEhh3M/gReQF3PUpTeJwa+DFhx9+SO7cuTl8+DDp06d3OizjZS5fvky3bt2YPHky5cuX59y5c2TOnDnaY8L3nYyuf6Qn+k5u2PD/9/PnR73fgxGelzzt8QdBxty7HTt28Nlnn/Htt98SEhJCo0aNeOutt6x0l/EoVe0AICIlcNUq/0pE0gPLgEXAKlWNVQmCmCSWnYAJQAkROQocIJbFMo332r9/Py1atGD16tU0b96cUaNGWVJp7rBq1SpatGjBwYMH6dOnD++//74VOzfGw65evcpff/3FsGHD+OWXX0iZMiXt27enW7duFC5c2OnwkpaELZDuOFXdDewGhotISqAW8CIwjFg+Zo82sXRPM/S6qj7untbHR1Uvxy1s44169OjBrl27mD59Ok2aNHE6HOOFbty4QdOmTUmWLBkrVqzg0UcfdTokcx8SkbzA10AOIBRXLb/PRWQmUNy9WwbggnvK34jH/wdcBkKAYFWNa58yR12+fJn9+/ezb98+9u3bxz///BP2/tgxV4WZbNmy8eGHH/L666/f9amAMZ4gIj0iWb0ZV3WfWIk2sVTVEBF50P0+tlXcjZc6d+4cN2/eJHv27IwZM4aQkBArLm/usG/fPvLnz0/y5Mn5+eefKVSoEGnTpnU6LHP/CgbeVNWNIpIWV7+uJara+NYOIvIZEF3tvFqqeia+A71XFy9eDEsWIyaQJ0+evG3fHDlyUKRIEerUqUORIkUoUaIE9evXJ0WKFA5Fb5Koiu7XrZl26uMqg9ReRL5X1cExPVFMHoVvEpF5uIqZhyWX4Qqem/vI0qVLeeWVVyhfvjzz588nd+7cTodkvMytovg9e/akb9++9O3bl7Jly0a5f8QalFH1l4xprUqAY+FKA4fvL/n++79Gc1SlsHcPPpjpti3umu2A9al0irvm3nH3+8sisgvXlHQ7Iaz28Uu46ht7vfPnz9/R4njrdfr06dv2zZUrF0WLFuXpp5+mSJEit73SpEnj0B0Yc5vMQAVVDQQQkf64iq3XwDVNpEcTy0zAWW7/x678f/Yccx+4ceMG7777LkOHDqV48eJ88MEHTodkvFDEovht2rRxOiSTCIlIAaA8sDbc6mrASVWNbNIMcP2/s1hEFBgfyewlt03xmz17dpYvX37XWAIDA2O035EjR5gxYwb79+/n2LFjXLp06bbt2bJlI3fu3FSuXJk8efKQO3ducufOTc6cOSMtDXThwgXWr19/x/qYimnc3uZ+jTsJyAcEhVu+CeRX1WsiciM2J7prYqmqsSm0abzQgQMHaNSoEZs3b+b1119n6NChpEqVyumwjJdZsmQJzZo1IzAwkFGjRtGxY0crim88TkTS4Jo2rpuqhs/OmgLTozn0UVU9JiLZgCUisltVV4TfwZ1sTgCoWLGi1qxZ867xLF++nOj2u3jxIh9++CEjR47E39+fhx9+mJo1a4a1OBYtWpSCBQsmeF3Ju8Xtre7XuJOA74A1IjLXvfwMMN09vibGM/lAzGbemcKdk6GjqtaUcZ/IkCEDPj4+zJ07lwYNGjgdjvFSmTNnpkiRIkyePNnql5p4ISJ+uJLKaeG7U7lnYmtEJJNn3OKeRANVPSUiPwKVgRVR7X+vQkJCmDRpEv369ePMmTO0bt2agQMHkiPHPZf5M8brqOqHIrIQqIprcpsOqnqrST1WlYBi8ig8fEW4FMBz3Dk5uvEyp06dYsiQIQwcOJCMGTOyfv16a30yd1i7di2//vor7733HhUqVOCHH/5CRDh+PPraktH1lwxfTzK69eGXJ0w4F2HvfeHe7w97lytX09v2atcu8vc2p7j3cfeh/BLYparDImx+HNitqkeiODasKon7fR0g3vrzLFu2jG7durF161aqVq3KL7/8woMRC6AakwiIiNyadUdVN+DqTxnlPjFx15l3VPWHcK9puDpXl45F3CaB/frrr5QpU4YvvviCdevWAVhSaW4THBzMgAEDePTRR5k8eTIXLlwA7HNi4tWjQAugtohsdr9uTePbhAiPwUUkl7sFBSA7sFJEtgB/AwtUdZGnAwwODuatt96idu3aXLx4kVmzZrFixQpLKk1itkxEuojIbaVhRMRfRGqLyFRcs/PEWExaLCMqiquTp/Ey169fp0+fPowYMYKAgACWLFnCAw884HRYxstYUXzjBFVdiesRW2TbWkWy7hjwlPv9v0DUpQk84OzZszRp0oTffvuNjh07MnToUJuPOynz80sqjz7qAm1w9acsCFwAUuJqeFwMDHfPRR5jMeljeZnb+1ieAN6OzUVMwmjVqhUzZ86kc+fODB482L4UzR1u3LhB9erVuXLlCt999x1Nmza9+0HGJHJbt27l2Wef5ejRo3z55ZdWDcEkGap6HRgDjHH3gc4CXFPVC3E9Z0xGhVtFZC+mqgQFBZE8eXLeeecdWrRoQf369Z0Oy3iZS5cukTZtWpInT87gwZMoViyAPHny3dFXMnz9yGNx7El9e93J7uG2ROwfWTncfrfXncyZ8//bcuWqHG591NeNaewR7zl8Xcvo+o4mjcaLpOe3335j+PDhZMiQgRUrVthc3CbJUtWbuGvN3ou79rEUkaUxWWcS3unTp2nYsCGvv/46AGXKlLGk0tzh999/p1SpUkycOBGA2rXrkSeP9WYxSdvly5dp2bIlAwcOpHz58mzYsMGSSmM8IMrEUkRSiEgmIIuIZBSRTO5XASDpzMzupZYsWUKZMmX49ddfKVu2LLEYsGWSiKCgIHr16sXjjz9OmjRpqFjxvpxa2cSzLVu2ULduXc6fP+90KAlm7dq1lCtXjm+//ZaWLVuyfPlyKyNkjIdE9yi8PdANVxK5gf93ur4EjI7fsExUgoKC6Nu3L0OHDqVUqVJhI8CNCW/Fil107NiMHTs288orHXjvvc9IlSrVXadVzBXuV8aIj5PDHxu+VFDEMkI//xz+66Ff2Lvx429/3B3+WnEddBvVI++IMYV/PB/xkXb4fcNvC1++KDEKCQlh2LBh9O3blyxZsnDgwAEyZszodFjxKiQkhE8//ZT+/fuTJ08e/vjjD4KDg0mWLC7jWI0xkYnyX5Oqfg58LiJdVPWLBIzJROPEiRNMnDiRDh068Nlnn9kMOiZShw4d4MSJo0yZMpcnn7Si+OZ2hw4dCmupa9SoERMmTCBz5sxOhxXvvvrqK959910AMmbMyLRp0/D390dVKVWqFNmyZbOSW8a4iUhrVZ0S2+NiMnjnCxEpDZTCVSD91vqvY3sxEzeqyq+//sqTTz5Jvnz52L17tz22MXc4ffo0y5cv58UXX+Sxx55i9er9pEljY+/Mnd566y3Wr1/Pl19+SevWrZNMMtWoUSOuXr3K9u3b2bFjBzNmzODChQuMHDkScM0+FRAQcMcra9asDkdujCMGAJ5PLEWkP1ATV2K5EKgHrAQssUwAFy5coH379syaNYvZs2fzwgsvWFJp7rB48WJatmzJ5cuXqVWrFpDFkkpzm4sXL3L16lVy5szJ559/zieffELhwoWdDitBZcyYkS5duoQtqyo//PADGTJkYMeOHWGv7777josXL4btlzVrVkqVKnVHwpklSxYnbsMYjxGRrVFtwjUxQazFpGPJC7gK025S1dYikh2YFJeLmdhZtWoVzZo149ixY3zyySc899xzTodkvMyNGzfo06cPw4cPD+tze7f/7KLrZxm+z2LE/aLrVxnezz93Cnv/9IP/P8mGCP0hc8VwCGBMSweFjylin83+/aO+blIoI/Tnn3/SokULihUrxuLFi8mZFG46BkSELFmyULNmTR5//PGw9arKsWPHbks2d+7cybfffsulS5fC9suWLRsBAQE88sgjvPnmm4m+j6pJlLIDTwIRR+8J8FdcThiTxPKaqoaKSLCIpANOAYXicjETcyNHjqR79+4UKFCAVatWUbly5bsfZJKU4OBgqlatyvr16+nUqRNDhgyxovjmNjdv3uT999/nk08+oVChQnzwQbxNr52oiAi5c+cmd+7c1KlTJ2y9qnL06NHbEs4dO3bwySefMHbsWPr378/rr7+On5+fg9EbT7h5M/pfwhOR+UCayGbXEZHlcTlhTBLL9SKSAZiIa3R4IK65Wk08KlWqFC+//DKjRo0iXbp0TodjvFCyZMl45ZVXeP/9961+qbmDqlK/fn2WLFnCq6++yogRI0iTJo3TYd3XRIQ8efKQJ08ennzyybD1W7dupUePHnTt2pXRo0czdOhQnn766STTd9Xcv1T11YjrRCSHqp5Q1WZxOWe0BdLF9a/iE1W9oKrjgCeAlqraOi4XM9GbM2cOQ4YMAeDxxx/n66+/tqTS3ObMmTM899xzLFiwAIAuXbpYUmkiJSK0b9+e77//nkmTJllSGY/KlCnDkiVLmD9/PiJCgwYNeOKJJ9iyZYvToRkTFwvv5eBoWyxVVUXkJ+BB9/J/93IxE7mrV6/So0cPxo8fz0MPPUS3bt3sUYq5w9KlS2nRogVnz57lqaeeuvM5Tbh+czHtRxmdiN3wwk99GF3dyfDbjvP/k0TXpzK6mpnht0W8bkzrTobfL+LPJqaPu7ypW+Jvv/3Gzp07efTRR6lQoUKULWPPP/98AkeWdIkI9evXp06dOowfP57+/ftTpUoV/vvvPxtwae4399TUftcpHYE1IlLpXi5iorZ9+3YqV67M+PHj6dWrF3/88YclleY2QUFBvP322zzxxBNkyJCBtWvX8tprrzkdlnHI2LFjadmyJWfOnKF79+589tlnHD161OmwjJufnx+dO3dm4sSJ3Lhxg+NJpKOeSVQm3svBMUksa+FKLveLyFYR2RbN8HQTC+fPn+fRRx/lzJkzLF68mEGDBuHv7+90WMbLzJ07l8GDB/Paa6+xfv16ypUr53RIxiGqyj///MOcOXP44IMPGDBgABcuXGD8+PE2rauXufVdHhIS4nAkxtydiLwoIrdq1GUWkTkiUiEu54pJYlkP1yjw2sAzwNPuP00cXbt2DXDVVPvqq6/YunUrTzzxhMNRGW+iqvz7778AvPDCC6xatYrx48fbTEtJnIhw+fJlvvrqKwBq1apF7dq1OX/+PLNnz3Y2OHMbX19fwFW9wZj7QD9VvSwiVXGNp5kKjI3LiWIy885B94WKquoUEckKWC/wOPrzzz95+eWX+fzzz3nuuefurTZluEcsn0XowPbmM+Fy/3nz4n4N4zkxfCR2MVUqOnTowPz589m+fTv58+fnkUceueMUEWsRxvSJW0zrR0YUvq9jdH0Wf/75/+9jOgd4TGtmTpgQ9TnC97F8JsKvvjH92URXxzN8H9OEFhoaCoCPjw+dO3dmyJAh/Pbbbzz++ONUrFiRbdu2ceTIEcD1S4mNRnbe9OnTSZYsGblz53Y6FGNi4lbTen1gnKrOFZH343Kiu7ZYumfeeRvo417lB3wbl4slZSEhIXz44YfUrFmT5MmTky9fPqdDMl5otftR9+zZs+nduzd58uRxOiTjkCNHjvDFF18AroTSx8f1dZ03b14efvhhZs2axYEDB0iXLh2lSpVi8eLFllR6iV9//ZVvvvmGPn36kDdvXqfDMSYmjorIeOAlYKGIJCdmT7XvEJM6ls8B5YGNAKp6LNxzeBMDR48epXnz5ixfvpzmzZszZswY0qa1H6H5P1Xl45Ej6T90KPny5WPlypU89NBDTodlHPLDDz/wzjvvkCJFCp588kmKFSsWti1TpkzUqVOHs2fP8tprrzF9+nT+/PNPcufOzfXr161IvsMCAwNp3749JUqUoG/fvk6HY+Lo5s2YV9BIJF4C6gJDVfWCiOQEesblRDFJLIPcZYcUQERSx+VCSdnvv//OunXrmDp1Kq+88orT4RgvJCIcPnaMl555hrFffUX69OmdDsk4pEePHmzYsIEPPviABQsWEBQUBLgeh99qtSxatCj9+vWje/fu9OzZk8OHD/P9999bUukFvvvuOw4ePIi/vz8lSpQgR44cYa+cOXPetpwjRw6yZ89O8uTJnQ7bJHGqehWYE275OBCnkgYxSSxnuZtHM4jIa0Ab7nEoelJw48YNNm3axEMPPUTz5s157LHHyBXXzm1RCdeZrWbEbeEnRzYJJzalRXLmZO7cueTNm5cKFSowavJkfH19Y/woM65VTKLrHxmd8B/f8L/Jh+9TCXf2b7wl4vziUc3zHXE5ulqVUV3LEyL2D729f2v8XHPv3r2Aq06ln58fv/zyC0OGDGHq1KlhSeUtIsKIESO4fv06KVKkiJ+ATKy9+OKLXLlyhePHj3PixAlOnDjBvn37WLlyJWfOnIn0mEyZMt2RcEaWiGbKlOmOz4Ex3iYmg3eGisgTwCWgGPCeqi6J98juY/v27aNx48bs3r2bAwcOkC1bNs8nlea+du3aNXp27szo0aNp3LgxM2bMIFmymPyeZxKjWbNmcfToUapVq8awYcPC1nfs2JHhw4dz6NCh2/plf/HFF+TLl4+GDRtaUullMmbMSPfu3SPddvPmTU6dOhWWcIZPPm+91q5dy/Hjx7l69eodxydLlozs2bOTI0cO/P39CQgIiDIhtQoSxikx/Z9sG5ASUPf7uxKRvMDXQA4gFJigqp+7t3UBOgPBwAJV7RXJ8XWBzwFfYJKqfhrDWB313Xff0b59e/z9/Zk+fTrZsmVzOiTjZXbu3UuT119n265dvPnmm3z88cdOh2Qc1KFDBzZt2sTTTz9N+/bt+eijj6hXrx4AadKk4dSpU2Gjwm89Dq9evfpt/S7N/cHPz4/cuXPfdaS4qhIYGHhbwhkxCd23bx8LFizg5MmTYZ+P8NKmTXtbspknTx4eeughqlevbjMBeTH3VNqfA08BV4FWqroxkv0KAjOATLjGwLRQ1SD3tprACFyDrc+oao2EiP2WuyaWItIWeA/4Hdc0P1+IyAeqOvkuhwYDb6rqRvdgnw0isgTIDjQEyqjqDRG5I/MSEV9gNK5aSkeAdSIyT1V3xubmElJoaCivvfYakydPpmrVqnz33XdxHw0Y7jngZxUr3rYp/NO5P8K9jzib3YZwez6YEM/wvEz4sjTRTfUX7fNNT8+YkTMn69ato0a9eqRNm5ZffvmFunXr3vWwqKY3jNgIHt1fbVS3Eh+3HNVj8ojxht8v4t9RTMsURfXziGun+4R+sLBo0SLOnz/P6tWr8fHxIUWKFIwdOzYssSxVqhTZs2dn6NChjBo1KuwxaNmyZRM2UJOgRIS0adOSNm1aihYtGuk+y5cvp2bNmoSEhHDmzJk7Wj7DJ6Jbt25l/vz5DB8+HIBixYpRvXp1qlevTo0aNaxKiXepBxR1v6rgqiVZJZL9BgHDVXWGiIwDXgXGikgGYAxQV1UPRZZjRSQilXHN4r1ORErhGsSzW1XjNGd4TFosewLlVfWsO4DMwF9AtIll+I6f7qKbu4DcwGvAp6p6w73tVCSHVwb2qeq/7mvOwJWMem1i6ePjQ/r06Xn33Xfp37+/PdY0t1FVBChfvjydOnXizTfftFYDQ7Vq1QgICAhLGJs3b87atWu5ceMGPj4++Pn58dprrzFx4kROnDhhnxlzB19fX7Jnz0727Nmj/YXj5s2bbNq0iRUrVvDHH38we/ZsJk2aBED+/PnDkszq1atTpEgRK1vlnIbA1+qaSmuNiGQQkZzunAoIa9WsDTRzr5oKvI8rCW0GzFHVQxBljhXGXVKyHpDM3fhXBVgO9BaR8qo6MLY3EJPs5whwOdzyZeBwbC4iIgVwlSxaCwwBqonIQOA68JaqrotwSO4I1zhC5Bk7ItIOd4NdQv/WpapMnDiRsmXLUqVKFT777DP7x2jusHr9et764AN+WriQrFmzMmTIEKdDMl4iderUpE79/0Ib//zzD5cuXbptlHCqVKmoUKEC2bNndyJEk0j4+flRuXJlKleuzFtvvUVISAjbtm1jxYoVrFixgkWLFvHNN98ArskXwrdoFi9e3BpL7k0WEVkfbnmCqkY13UNk+U9ubh+hnRm4oKrBEfYB11gYPxFZDqQFPlfVr6OJ7QWgHJAcOAHkUdVLIjIEV84WL4nlUWCtiMzF1ceyIfC3iPQAUNVh0R0sImmAH4Bu7mCTARmBh4BKuEadF9LbJ7qNLDuLdCJc91/OBICKFSsm2GS5Fy9epH379sycOZNXX32VKlWqWFJpbhMSEsKg0aN5b8gQ8uXOzcmTJ8maNavTYRkvdKuw+ZEjRwgICABg5syZpEuXjnr16lGlSqS/VxsTZ76+vpQrV45y5crxxhtvoKrs3r07rEXzjz/+YObMmYDr0XzmzJnDWkZvlUmKbDlr1qz4+fk5fHde54yqVrz7bkDM8p/o9kmGq9fcY7jGxqwWkTWqujeK6wWraghwVUT2q+olAFW9JiJ3dt6NgZgklvvdr1vmuv+8a4VvEfHDlVROU9Vb9ZGO4GqmVVwJaiiQBTgd7tAjQPgOinkArylVun79eho3bszBgwf55JNP6NXrjrFH9yZcB8GaETY9+P77Ye//CPc+4q8+/duH+wyH78AWsfNa+E5l93v/y9s6COaMfDURbjOutXeiOqH7HMdPnqRFly4sXbmSxo0bM378+DjXpgx/ek/8Fc2fH/X5outyGv64iOWBwgu/LXw5oJj2m4wNb/n4xrQPa1Ru/VKaKlUqVJU333yTZcuWhf3Hbkx8ExFKlixJyZIlad++ParKgQMHWLFiBQcOHODkyZNhr9WrV3Py5MlIR64DZMmSJcrE8+TJk6RLl44cOXJ4dRJ686bnu9lHRUQ64eomCLCOu+c/Z3CVgEzmbrUMv88RXInsFeCKiKwAygJRJZZBIpLKXccy7FtaRNLjGngdazEpNzQgLid29wH4EtgVoVXzJ1x9A5aLSDHAH9cPKbx1QFH3qKejQBP+35fAUWvWrKF69erkzJmTFStWhM3hbEx4bw8cyF/r1zNp0iTatGljrdkmRjZu3MjIkSPp2bMnGzZssM+NcYyIUKhQIQoVKhTlPoGBgZw8eZITJ07clniGX7d27VpOnjzJlStXwo7r3bt32PtbLaHRtYJmz56dbNmyeW0Seq9UdTSuAcuISH2gs3tsSRXgYvj+le79VUSW4XqMPQNoyf8b/eYCo9xPh/3d5xgezeWrhxvzEj6R9HOfN9ZiMiq8ItAXyB9+f1Utc5dDHwVaANtEZLN73Tu4Bv1MFpHtQBDQ0v1DyoWrrNBTqhosIp2BX3GVG5qsqjtid2uedetRVaVKlejTpw9du3YlU6ZMToZkvExQUBAXz/6vvTuPs6n+Hzj+es9Q9myRJSUlkihjiZSSbbK2IXshDEmhpKi+kSRFTCVFZE/JT4RoElmiSNosqWSXJfss798f98x0Z9wZM8zMOXPn/Xw87sO9555z7vt+XNf7fs778/kc4vIiRXht6FCe7t2bG+7I1FkejMfFxcUxZswYateuHfDydnh4OOXLl6d9+/YuRGdM2uTLl498+fJRrly58+4bn4QuWrSIUk5pUNKkdN26dezbt4/jx48HPIf/5fjixYtTrlw5Bg0alKhOOQgsxDfV0DZ80w11iX9CRBYCXVV1N/AUMFNEXgK+x9eRh6r+LCKfAz/g63GcqKo/Jvdi8UllgO0HObfTL1VScyl8Gr6R4ZtJQ7eoqq4kcB0AwDnfmk5Dhfs9XoivgV23evVq+vbty/z587niiit44YUL6sQ1QWzHjh20bduWHHFxfD1vHpcXKcLlRYq4HZbxkP3799O5c2cWLVpEnz59AiaWtWrVsjXiTVCKT0JvvPFG6tWrl+K+J06cSLYHNP42b948Tp8+TZcuXVKV2GYVTplgRDLP+edIO/DNoBNov1fxDZROtQCdiOKEc75OxHOkJrE8oKrz03riYBAXF8drr73GoEGDuOqqqzh48GDmTPfhN/lf0hKPKL+6yqF+RWsvJCl6i/J7XM/vGMJSqB9OWgSXXHFfWib7c2nFIf/avhJJW9H/YUoTQ6bS7Nmz6datGyLCu+++S8h5Jj8OKKVinuTqQJMU8KV0Cv+Ph/9bTjrfY0o1lv4fjxTnBvXjVt1jWl73QuqoktaYnq/W84svvqBDhw4cPnyY4cPH06lTz7S/qDHZRN68eVO8DL9lyxaqVq0adEmlyy6oEzGQ1CSWQ0VkIrAMSOgy9RuME5QOHjxIx44dWbRoEffffz8TJ0684MEXJjidOnWKx4cOZcKHH1KzZk1mzJhB2bJl3Q7LeMyyZcto0KABN9xwA9OmLaFixcpuh2RMlqWq9OrViwIFCjBy5Ei3wwkm6daJmJrEsgtQAV8hZ3wWq0BQJ5aDBw9m2bJljBs3jl69elkRvTlHTGwsUd98w8CBA3nppZeCtrDcXJiYmBhy5MhBvXr1GDVqFD179uToUVu/2ZjziYuL4++//2b79u3s2LGD7du3J7odPnyYiRMnUrRoUbdDDSbp1omYmsSyiqpmi5/YcXFxHDlyhMKFCzNixAh69OjBzTff7HZYxkNUlY8WLKDp3XeTP18+vl+yhDx2KcYkMWvWLIYMGcKKFSsoXrw4Tz75JABHj7ocmDEecfr0aX7//feAiePvv//OmTP/jSnJkSMHV111FeXKlaN69eqEhYXRuXNn94IPTunWiZiaxHKNiNzg5XW608OBAwfo2LEjhw4dYtWqVRQqVIhChQq5E4xfTWRT/8kDIVH95QK/Qq+kJW8l/IsMEz2RpAAspbpC/0Iy//2++y75Y1KS0oSMyRX3JY3PP6YJyS1cACXeeSf5c6z3WwAhpZrTRCcswb///kuvXr348MMPeW3oUJ549FHy5MmTLvNf7iH5osANiT4C/+3nvw43pPxXmVyTpvRxuNB1xFNZEpqhUpy7NAWpXW89ubY+efIEDz3Ulxkz3qNatVv566+zxCVTrZTaslpjsqrDhw+fkzRu2LCBQ4cO8ffff+O/Lkr86PIbbriBZs2aUa5cOa655hrKlStHmTJlbOWfjJdunYip+Zu6DegkIr/j6x694JFCXrVy5UratGnDwYMHeeONN+wDbM6xceNGWrduzbZt23jhhRfo+/DDbodkPOann36gR4/WbN/+K4899gxPPvm8lUeYbENVGT16NOvWrUtIIo8cOZJonyuuuIKiRYty1113JSSN8bfLL7/cSs7clW6diKnJoBpf7It4VVxcHCNHjuTZZ5+lbNmyrF692i59m3N8tGAB7fv0oXDhwixbtsw3VUZmLclgsoyxY4dz7NgRZs5cSt269d0Ox5hMdebMGUaPHs1uZ6qJIkWK8OKLL1K5cuWE3se8efMSFRV13umGvODs2XNnzQhy6daJGHK+HVT1D3zLC93l3D+ZmuOygtOnTzNlyhTuu+8+NmzYYEmlCaiKc2lm06ZNWeIL0WSeI0cO8/fffwHw8suRfPHFJksqTbaUK1cufvvtNyZMmMBNN93EoUOHeO211/jqq6/IlStXsE1iHowaA9cBDYFmQFPnzzRLzco7Q4Ew4HpgEr7Czg/xrayTJa1bt45KlSqRN29evv76awoXLuytLvhEkzAmKbZq2vS/u48+GvgYgKFD/7uf0uLQKbnlltTvGy+1c0GmtJ//vJspSTqZYnKLUSf92ZlcXaVf26xfv54ZM2YwatQoritRgjl1En/c/WsiU1puPMVfvH7PXUj9YtJmyui6vAs5f1aYx/JC6y/XrFlDmzZtKF26NF9//TUlSvhW4rLO7MBE5EpgCnAFvsEBE1R1jIg8j2+d5APOrs84C2QkPb4xMAbfamwTVXVEpgRuUi1v3rx069aNrl27smrVKsaPH8+4ceN44403aNSoEREREb66dOM5TsdhukhNz2MroDlwwnnx3UD+9AogM6kqo0aNok6dOrz44ouAr7veU0mlcZWqJiy5N2fOHPbt2+d2SMZj4uLieOWVV7jtttsICQlh9OjR9h2SOjHAk6paEagFRIjIDc5zr6tqVecWKKkMxbeWchPgBqCt37HGY0SEOnXqMGLECN544w0KFSrE4sWLad68Oa+/ntKy1SYYpKbG8qyzlrcCiEiW7M8+fPgwnTt3Zv78+dx3330888wzbodkPObw4cM8/PDDzJs3j2bNmjF58mRbD94kcujQIdq1a8fixYt58MEHmTBhgi2ckEqqugdn3StV/VdEfgZSu0xVDWCbs4wdIjITaAEE9WwlWYWq8vfff7N+/fpEt0OHDgGQM2dObrnlFsLCwrjppqAZ92uSkZrEcraIvAMUFJFuwMPAxIwNK31t3LiRli1bsnv3bsaMGUOfPn2sh8Ekoqo0bNiQjRs3Mnr0aB5//HH7jJhz5MqVi/379/P222/TvXt3+4xcIBG5GrgZWIuvrKq3iHQE1uPr1Tyc5JBSwF9+j3cB5y62bjLFnj17EiWQGzZsSLi6Exoayo033kjLli0JCwsjLCyMypUrc+mllwIQFRXlYuQmM5w3sVTVUSLSADiGr85yiKouzfDI0tFll11GoUKFmD17NjVqBFyz3Vv8i7mS1gP6T17oX2OYpGZxA//VG1Yr4Tf3Y0oFZUnrHpMrEEyP9b/960OBPX7vq0RKC1GndpHqVMaoqqgqISEhjBgwgHx581Lzlltg797EOyZpt+SaMel2m48w64uJiWHcuHF069aNvHnz8u233xIaGpponwupkc2uRCQfMBd4XFWPichbwP/wTcb8P+A1fB0YiQ4LcCpNukFEuuNM61u8ePFUJTHHjx/PkslOZsf9ySefsH79en777TcOHjwIQEhICFdddRU333wz5cuX5/rrr6dcuXIJSWR8nKtXr3YtbpM8EemA70daL3ylKitU9a2LPW9qBu+8oqpPAUsDbPOsY8eOMXHiRPr160fZsmX57rvvrHfBJHL4yBG69OtHzVtuYVCfPtSvW9ftkIzH/P333zz00EOsWLGCyy67jC5dupyTVJrUE5Gc+JLKafFLxanqPr/n3wUWBDh0F77ZSeKVJtHwNx9VnQBMAAgLC9PUzOKQVaa/SSoz446NjaVNmzbs27ePsLAwnn32WcLCwqhatWqaR3tn1fYOUtXxTYz+AICIjEmPk6Zm8E6DANuapMeLZ5RNmzYRFhbGwIEDWe+ssmJJpfG37vvvublhQxYuX07e3LndDsd40MKFC6lSpQobNmxgypQpdOnSxe2QsjTxfQm/B/ysqqP9tvv347YCfgxw+LfAdSJSVkQuAdoA8zMyXvOf0NBQVqxYwTXXXMOWLVsoU6YMderUsSmEsr5jQBER6SYi9wPp8heabI+liPTE1z16jYj84PdUfmBVerx4Rnjvvffo3bs3hQoVYvny5VSvXt3tkNKX/7U0v6mHkl6LSzTzTskUpqJKaT4c/8vJ6T1TrP90SECJJI+TldIlbv8Yk4lXVRmzcCEDX3qJksWLs3LePGokN3+pXbfMtt566y169epFlSpVmDVrFtdff32K+9tHJVXqAB2AzSKy0dn2DL4R3lXxXdreCTwKICIl8U0rFK6qMSLSG1iMb7qh91V1S+aGn72VL1+eNWvW0KxZM+67776EWvRgFR2dLaYOew7fILjr8c380zs9TprSpfDpwCLgZeBpv+3/quo/6fHi6S0uLo6XX36ZOnXqMH36dIoVK+Z2SMZjtmzfTv8XX+Se+vWZ9PrrFHZrPXjjaY0aNaJfv34MHz6cXLlyuR1OUFDVlQSulTxneiFn/91AuN/jhcntazLH5ZdfzvLly2nfvj39+vWjVKlSPPDAA26HZS6Q+hZrnyciFYCWwEhnBqDdwHxV/flCzpvspXBVPaqqO1W1rar+4XfzZFIJvkLiqKgoFi9ebEmlSWT3Ad/cyzdeey1rFixg3qRJllSaRD799FMefvhhVJVrrrmG0aNHW1JpTBJ58uThjjvuAODqq692Nxhz0URkIDAD3xWDdfjKTgSYISJPp3RscoJiaUZ/pUuXtuJ6k0BVGTdrFte0aMHn33wDQFiVKlZzaxKcPXuWfv360bJlS3744QeOHDnidkjGeFZsbCxvvvkmtWvXDr5Ss+ypK1BDVV9R1Q+d2wh8c8c+ciEnTM08liYrSFrk5T8tUUp1iamtWUztFEOprdlMyYZUTo90ntc+dvIkXd98kzmrVnHPPfdQ/aGHoEiRbFE4Y1Ln999/p3Xr1nz77bc89thjjBw5MtFUKRfC/+NltZcm2CxcuJDt27czfPhwt0Mx6SMOKAkkXdKxhPNcmlliaYLSpt9/54FXXmHH3r288sor9O/fn5CQoOugNxchNjaWJk2asHfvXj7++GNatWrldkjGeN6vv/4KQKVKlVyOxKSTx4FlIrKV/xYhKANcC/S5kBPa/7QmKK359VdOnD7Nl8OGMXDgQEsqTYIzZ84QGxtLaGgo77//Pt9//70llcakUseOHcmdOzcjR450OxSTDlT1c6A88AK+WReWAM8D16vqogs5p/1va4LGidOn+eZn3yC27o0a8dP48dS1X9XGz44dO7jtttt46aWXAKhduzZly5Z1OSpjso5ixYrRo0cPpk2bxvbt290Ox6QDVY1T1TWqOldVP3Lux4rIBU3ea5fCvS49irT8axabpTCnZVLJzWOZ0tKP6VGLmdplJ/3O8fPvv3P/k0+y69Ahdk6cSKF8+bgsfvLepDWV/ue3grhs45NPPqFLly6ICFWqVMmw17GPkQl2AwYM4M033+Ttt9/m1VdfdTsck3FeACal9SBLLE2WN/3zz+k+bBh5LrmEj556ikL58rkdkvGQs2fPMnDgQMaMGUP16tWZNWuW9VIacxGOHDlCTEwMJVPbkZAFRUen/7ogXpRkAZxETwHFL+SclliaLCsuLo4+r75K5Jw51KlShVmPP06pIkXcDst4zJYtW4iMjKRv37688sorFz3q25jsbtq0aYSEhNC2bVu3QzEXrzjQCDicZLsA31zICS2xNFlWSEgIqkr/Dh0YHhFBzv373Q7JeMiWLVuoVKkSN998M7/88gvXXHON2yEZk+Xt3LmTDz/8kAYNGnDFFVe4HY65eAuAfKq6MekTIhJ1ISe0xNLrktYHJlcTmPSShH9dpf/9pPxrLlPb73+h1wf8Y0ztJZT16895vODbbylVuDA3163L+Kee+m+yc/+28b8fFpb8+a0gLuhER0czaNAgXnvtNT7//HMaNWpkSaUxF2H37t3MmTOHmTNnsmbNGkSEcePGuR2WSQeqmuwk6Kr60IWc0xJLk2XExMby3IcfMmLuXO6vXZs5devaCjomkV27dtG6dWu++eYbevXqlbD0nDEmbQ4dOsTcuXOZOXMmUVFRqCpVq1ZlxIgRtG7d2pZzNMmyxNJkCXsPH6btqFFEbd5M90aNGNOtm9shGY9ZvHgx7dq148yZM8ycOZPWrVu7HZIxWcqxY8f49NNPmTFjBkuXLiUmJoby5cszZMgQWrduTcWKFd0O0WQBllgaz9u6eze3DxrE0RMn+ODxx+l4111uh2Q8aPfu3ZQsWZI5c+Zw/fXXux2OMVnCn3/+yYIFC1iwYAHLly/nzJkzlClThieeeII2bdpQtWpVuzJk0sQSy6xmwYL/7jdtmvx+1aoFPiZpzeaF1Ete6BQTyc0fmVSSeTHLFitGk9tuo1+7dlTOkyfwfkn5t43VUQatvXv3snHjRho3bkyXLl1o164dl1xyidthGeNZsbGxrFu3LiGZ/OEH32wz5cqVo2fPnjzwwAPceuutlkxmEyJyK7BGVTW9zmmJpfGko8eP89TYsfyvZ08uL1SI94cO9T2RHSYWM6kSFRVF27ZtiYmJYefOneTNm9eSSmMCOHbsGEuWLGHBggUsXLiQAwcOEBoaym233carr75Ks2bNKF++vCWT2VMnYLyI/AZ8Dnyuqnsv5oQZlliKyJXAFOAKIA6YoKpj/J7vD7wKXK6qBwMc3xgYA4QCE1V1REbFarzlh61buW/gQH7fvZsGNWtyX/36bodkPCQuLo5XXnmFZ599lmuvvZaPPvqIvPGrLBljADh+/DiTJ09m3rx5rFixgujoaAoVKkR4eDhNmzalUaNGFCpUyO0wPSs6OuULaxlFfNn9GCAcOAl0VtXvAuzXG3gcKIdfHiUiA4B2zm45gIrO8/8Eej1V7eEcVwFoAkwWkcuAL/ElmqtUNTYt7yEjeyxjgCdV9TsRyQ9sEJGlqvqTk3Q2AP4MdKCIhALjnX12Ad+KyHxV/SkD4zUeMGXOHHoMHEjB/PmJeucdbqta1e2QjIfExMTQqlUrFixYQOvWrXn33XfJnz+/22EZ4xknTpwgMjKSkSNHcvDgQW644Qb69etHs2bNqFWrFjly2IVKj2sCXOfcagJvOX8mtQrfHJRR/htV9VV8nXaISDOgX3JJZZLjfgF+AV4XkdzAncADwGgghTn7zpVhnzBV3QPsce7/KyI/A6WAn4DXgYHAp8kcXgPYpqo7AERkJtDCOTZ7SVof6F87mdLPKf86SP8R1CnVR6b0XGrrIy/iuMjJk4l45hnq1a7NzLfeovjll6d87qSXxdOyDrrJknLkyEHFihVp1KgRERERdunOGMeJEyd46623GDlyJAcOHKBRo0YMHTqUW2+91e3QTNq0AKY4NY9rRKSgiJRwcqoEqvo9cL7vwLbAjLQGoKqngIXOLc0y5aeLiFwN3AysFZHmwN+quimFBikF/OX3eBeBM3YTRB5s1owjx44xsFcv+1VtEqgqb7/9NtWqVaNGjRqMHDnS7ZCM8YyTJ08mJJT79++nQYMGPP/889SuXdvt0MyFCZT/lMLpqEstEckDNAZ6p19oqROS0S8gIvmAufhqAWKAwcCQ8x0WYFvAEUsi0l1E1ovI+gMHDlxMqMYFi6OiaNG5M9HR0RQtUoRnHnvMkkqT4Pjx47Rv355evXrx3nvvuR2OMZ5y9OhRKlWqRP/+/bnppptYuXIlS5YssaTSe4rG5ynOrXsK+6Y6/zmPZvjqI897GTy9Zej/4CKSE19SOU1VPxaRykBZIL63sjTwnYjUSDIKaRdwpd/j0kDA4cCqOgGYABAWFpZuw+U9I+nl45SmGPJ3IcsnpjQtT3JLSaaF33FxcXG89NJLPP/889x4440czJmTEoHOm/T9p/Z92RRDWd7PP//Mfffdx6+//sqwYcN4+umn3Q7JGE+ZMmUKO3fuZP78+TSzUiAvO6iqydYpikgEEF+z9i2pzH/Oow1puAwuIk+k9Lyqjk7tuTJyVLgA7wE/xwekqpuBYn777ATCAowK/xa4TkTKAn/ja6ALWrPSeM/hw4fp0KEDn332Ge3ateOdd96xUb0mkY0bN3LbbbeRJ08elixZQn2bGcCYRFSVyMhIatSoYUllFqeq4/ENWEZE7gF6O2NLagJHk9ZXno8zqvsOoH0aDgsDqgPzncfNgBUkviyfKhl5KbwO0AG4S0Q2Orfw5HYWkZIishBAVWPw1QUsBn4GZqvqlgyM1WSiNm3asGTJEsaPH8/UqVMtqTTnqFy5Mj179uT777+3pNKYAL777jt++eUXIiIi3A7FpK+FwA5gG/Au0Cv+CRFZKCIlnfuPicgufD2aP4jIRL9ztAKWqOqJNLxuUeAWVX1SVZ8EqgGlVfUFVX0hLW8gI0eFryRwrYD/Plf73d+Nb96m+McXPCLJeFNsbCyhoaGMGjWKEydOUKtWLbdDMh7y119/0adPH9566y1KlCjBq6++6nZIxnjWypUryZcvHw8++KDboZh05IwGD/hrQVX9c6SxwNhk9psMTE7jS5cBzvo9PgtcncZzALbyjvelVCuYmXWEF/FaZ86c4fHHHyc2NpYJEyZQuXLljHldN2azNeli6dKltG3blrNnz/Lzzz8Hrrc1xiTYuXMnlStXJleuXG6HYoLDVGCdiHyCb7BQK+CDCzmRJZYmQ+3atYv777+ftWvXMnDgQOLi4ggJyfDJCEwWERcXx7Bhwxg6dCiVKlVi7ty5lC9f3u2wjPG8P/74g3vvvdftMIJWdHT2WkFYVYeJyCKgrrOpS/xcmWlliaXJMF9++SWtW7fm1KlTzJ07174EzTlGjBjBkCFDaN++PW+//bbV2xqTCv/88w+HDx+mYsWKbodigoizdOQ5y0emlSWWJkMcO3aM++67j+LFi/PJJ59QoUIFt0MyHhLfc92zZ09KlixJp06dbBUdY1Lp1KlTABQoUMDlSIw5lyWWWY3Ha89OnTpFrly5KFCgAAsWLKBy5cqZt5Zzcm2TtPbS420Y7N577z2mTJnCkiVLKFSoEJ07d3Y7JGOylEsuuQSAs2fPnmdPYzKfFbuZdPPrr79SrVo1xo8fD0Dt2rUzL6k0nnfq1CkeeeQRunbtyiWXXMLJkyfdDsmYLMkSS+NllliadPHpp59So0YNDhw4wA033OB2OMZjdu7cyW233cb777/P4MGD+fzzzylUqJDbYRmTJYWGhgIQExPjciTGnMsSS3NRYmNjefbZZ2nZsiXly5dnw4YN3HXXXW6HZTxEVenQoQPbt29n/vz5vPTSSwn/MRpj0i6+pzK+59IYL7EaS3NR1q1bx/Dhw3nkkUcYN26cN+dUs5pKV8TFxREdHc2ll17KxIkTCQ0N5dprr3U7LGOyvDNnzgBw6aWXuhyJMeeyxNJckMOHD1OoUCFuvfVW1q9fzy233OJ2SMZD4teDL1y4MB988AHXX3+92yEZEzTiE0vrsTReZImlSbMZM2bw6KOPMn/+fOrVq2dJpUnkhx9+4N577+WPP/7gjTfecDscY4JOfGKZO3dulyMJXtHRtpjbhbIaS5NqMTExPPnkkzz00ENUqVLF5qY055g2bRq1atXi1KlTfPXVV0RERNj8lMaks9OnTwN2Kdx4k/VYmv+kMN/jgQMHaNOmDcuXL6d379689tprdhnGJHLo0CF69+5N9erVmTVrFldccYXbIRkTlOITS0/WtJtszxJLkyqzZs1i1apVTJ48mU6dOrkdjvGQQ4cOUbhwYYoUKcKKFSuoUKECOXPmdDssY4LW0aNHAciXL5/LkRhzLrsUblK0b98+ACIiIti8ebMllSaRVatWceONNybUUlauXNmSSmMy2LZt2wAoV66cy5EYcy5LLM1/SpRIuEUXLUq/fv2oWLEif/75JyLCdddd53aExiNUlcjISOrVq0e+fPm4++673Q7JeJyIXCkiX4rIzyKyRUT6OttfFZFfROQHEflERAomc/xOEdksIhtFZH2mBu8xW7duJVeuXJQsWdLtUIw5hyWW5hwHDhygYcOGvPHGG3Ts2JESNg+k8XPq1Ck6d+5MREQEjRs35ttvv6Vy5cpuh2W8LwZ4UlUrArWACBG5AVgK3KiqNwG/AYNSOMedqlpVVcMyPlzv2rZtGyVLlrSBccaTLLE0iXz33XeEhYWxZs0apkyZwhtvvGGXNk0i69evZ/r06Tz//PN8+umnFCxY0O2QTBagqntU9Tvn/r/Az0ApVV2iqvFrE64BSrsVY1YhIpZUGs+ywTsmkXHjxqGqrFy5kmrVqrkdjvGQP//8kzJlylC3bl1+++03ypYt63ZIJosSkauBm4G1SZ56GJiVzGEKLBERBd5R1QkZF6G3FS9enFWrVrkdhjEBWWJpiImJ4eDBg1xxxRWMGzeO48ePU6xYMbfDMh6hqowaNYrBgwezePFi7rzzTksqzQUTkXzAXOBxVT3mt30wvsvl05I5tI6q7haRYsBSEflFVVckOXd3oDv4kq+oqKjzxnP8+PFU7eclp06d4siRIyxfvpyQkKx14TGrtHd0NOze7XYUWZMlltncoUOHaNOmDbt37+a7774jT5485MmTx+2wjEccP36cRx55hNmzZ/PAAw9QvXp1t0MyWZiI5MSXVE5T1Y/9tncCmgL1VVUDHauqu50/94vIJ0ANYEWSfSYAEwDCwsK0Xr16540pKiqK1OznJWvXrmXatGnUrFmTvHnzuh1OmmTF9jZpk7V+6ph0tXnzZqpXr86KFSvo37+/reJgEtm+fTu33norH330Ea+88gqzZs2yefPMBRNfUeB7wM+qOtpve2PgKaC5qp5M5ti8IpI//j7QEPgx46P2pv3793PppZdaJ4DxJOuxzKbmzp1Lp06duOyyy1ixYgU1a9Z0OyTjMQsXLuTvv/9m0aJFNGzY0O1wTNZXB+gAbBaRjc62Z4CxwKX4Lm8DrFHVHiJSEpioquFAceAT5/kcwHRV/TyT4/eMvXv3UqRIERvAYzzJEstsKDY2lhEjRnDTTTcxd+5cm07IJFBVtm7dSvny5enduzcPPvggxYsXdzssEwRUdSUQKBNamMz+u4Fw5/4OoErGRZe17N27l0KFCrkdhjEBWWKZjRw75quTL1CgAAsWLKBgwYJ2+dskOH78OJ07d2bp0qVs2bKF0qVLW1JpjAedPn3a1gk3nmU1ltnE1q1bqVWrFl26dAF8IyYtqTTxtm3bRq1atfjkk08YMmQIpUqVcjskY0wyQkJCiIuLczsMYwKyHstsYPHixbRp04bQ0FAiIyPdDsd4zOeff07btm0JCQlh8eLFtjyjMR5niaXxMuuxDGLx8w+Gh4dTpkwZ1q9fb9M8mHPMmTOHMmXK8O2331pSaUwWEBoaaoml8SzrsQxihw4dYtSoUdx7771Mnjw5y813ZjLOiRMn2L9/P2XLlmX8+PHExsba58OYLMISS+NlllgGof3791OkSBGKFi3KunXruPLKK21aCpPg999/p2XLlpw9e5YffvjBBgEYk8XkyJGD2NhYt8MIcjHAP24HkSXZpfAgs27dOqpWrcqLL74IQJkyZSypNAmWL19O9erV+fPPP3n99dfJmTOn2yEZY9LIEkvjZZZYBpGpU6dy++23kytXLu6//363wzEeoqqMGTOGhg0bUrx4cdatW0fjxo3dDssYcwGSWfXSGE+wxDIIxMbGMmDAADp27Mitt97KunXrqFy5stthGQ+JiYlh5syZNG3alDVr1nDddde5HZLxiIMHDxIREcGJEyfcDsWkUmxsLKGhoW6HYUxAllgGgZ9//pmxY8cSERHBkiVLKFq0qNshGY/YvXs3hw8fJmfOnCxatIiPP/6Y/Pnzux2W8YiNGzcSFhbGe++9x7p169wOx6RSTEyMJZbGszIssRSRK0XkSxH5WUS2iEhfZ/urIvKLiPwgIp+ISMFkjm8sIr+KyDYReTqj4szKDh8+DMCNN97I5s2bGTdunNXMmQRr164lLCyMbt26AVCwYEFCQuy3pPGZPn06tWvXJjY2lq+//po777zT7ZBMKsXFxVntfJASn7FO7vODiNySzH7TnBzpRxF5X0RyOtsvE5H/E5FNTu7VJXPfQcb2WMYAT6pqRaAWECEiNwBLgRtV9SbgN2BQ0gNFJBQYDzQBbgDaOscaxxdffEG5cuWYNWsWAOXLl3c5IuMlkydP5vbbbyd37twMHTrU7XCMx4wdO5Z27doRFhbG+vXrqV69utshmTSw6YaCWhPgOufWHXgrmf2mARWAykBuoKuzPQL4SVWrAPWA10TkkowMOKkMSyxVdY+qfufc/xf4GSilqktUNcbZbQ1QOsDhNYBtqrpDVc8CM4EWGRVrVqKqjBs3jsaNG1OqVClq1KjhdkjGQ2JiYnjiiSfo0qULdevWtXpbE1CzZs0YMGAAy5Yts/Xgs6AcOXJYYhm8WgBT1GcNUFBESiTdSVUXOvsosI7/cikF8ouvSzsfvjmTYpIen5Ey5bqYiFwN3AysTfLUw8CiAIeUAv7ye7zL2Rbo3N1FZL2IrD9w4EA6ROtd0dHR9OzZkz59+hAeHs4333xD2bJl3Q7LeMjhw4eZPXs2jz32GJ9//jlFihRxOyTjEZs3b6Zfv36oKmXLlmXkyJFWOpNF5ciRg5iYTM0VzMUpGp+nOLfuKeyb6vwHwLkE3gH43Nk0DqgI7AY2A31VNVN/hWT4BOkikg+YCzyuqsf8tg/Gl0VPC3RYgG0B51dQ1QnABICwsLCgnoNh8eLFvPPOOzz99NMMGzbM6uVMgu3bt3PVVVdx+eWXs2nTJksoTSIfffQRnTp14rLLLuOJJ57gyiuvdDskcxGio6PJkcPWN8lYsaTjBOkHVTUslfumOv9xRAIrVPVr53EjYCNwF1AOWCoiX/vnXxktQzMTJ5OeC0xT1Y/9tncCmgLtNPCEXLsA/2++0viy72zp1KlTADRt2pT169fz8ssvW1JpEixYsICbb745YVJ8SypNvLi4OAYPHswDDzxAlSpV2LBhgyWVQeDff/8ld+7cbodh0omIRIjIRhHZiC/XSVX+IyJDgcuBJ/w2dwE+dq6SbwN+x1eLmWkyclS4AO8BP6vqaL/tjYGngOaqejKZw78FrhORsk7RaRtgfkbF6mWLFi2ibNmyrF+/HoBq1aq5HJHxClXllVdeoXnz5pQvXz5h9Lcx8Xr27Mnw4cPp2rUrX375JSVKnFOqZbKg48ePW2IZRFR1vKpWVdWqwDygozM6vBZwVFX3JD1GRLri651sm+RS959AfWef4sD1wI4MfguJZGS3Vx181/3vis/ERSQc3/X//Pi6ZzeKyNsAIlJSRBYCOIN7egOL8Q36ma2qWzIwVs9RVV5//XWaNm1KiRIlrMDeJHLq1Cnat2/P008/zYMPPsiKFSusJyqbSmkVlm7dujF+/HgmTJjApZdemolRmYx0+vRpLrkkUwf6msyzEF8iuA14F+gV/4SILBSRks7Dt4HiwGonlxribP8fUFtENgPLgKdU9WCmRU8G1liq6koC1wosTGb/3UC43+OFye0b7M6ePUtERAQTJ06kVatWTJ06lbx587odlvGQ3377jXnz5jFs2DAGDRpkc9plMzt27GD27Nk8/fTTKf7dh4WFERaW2tIuk1XkyZOHM2fOuB2GyQBOeWBEMs/550gB8zcnl2qYMdGljhXqedCECROYOHEigwcP5qOPPrKk0iT46y/fYMEqVaqwbds2nnnmGUsqs5mVK1fSunVrG7yRjeXLly+h9t4Yr7HE0kPi5yXr0aMHS5Ys4aWXXrJBOibB9OnTKV++PDNnzgSwerlsaPny5TRv3pxXXnmF/v37A77LoiZ7yZcvHydPJjdEwRh3WdbiEYsXL6ZKlSrs2bOHHDly0KBBA7dDMh4RFxfHM888Q7t27ahRowZ333232yEZl1SoUIECBQogIkRHR9OhQwe6devGyJEj2bhxo9vhmUwSGhqaYm2tMW6yxNIDxo0bR3h4OCEhIURHR7sdjvGQf//9l1atWvHyyy/TrVs3li5dStGiRd0Oy7ggNjaWkiVL8uGHH/LQQw9RpUoVKleuTKdOndi7dy+ffvqp9WJlE9HR0YSGhrodhjEBWZGOi2JiYujbty+RkZE0b96cadOmkS9fPrfDMh6yfPlyPvvsM8aOHUvv3r2tnjKbUtWE9aFvu+023nrrLfbs2UPPnj0BEtaEHzBggMuRmswQExNjiWWGiyEdJ0jPViyxdNELL7xAZGQkAwYM4OWXX7YvCpPgn3/+oXDhwrRo0YJff/2VcuXKuR2SyWT79u0jNDSUyy67jJw5cxIXF5fww6Jly5aJ9j158iR58uTh1KlT5MmTx4VoTWayxNJ4mV0Kd9ETTzzB9OnTGTlypH1JmASTJk3i6quvZu3atQCWVGZDS5cu5a677qJ///60a9cOgJCQkIA91sOHD2fQoEH079/fVl3KJmxQp/Ey+3RmspUrV9KiRQtOnz5NoUKFaNu2rdshGY+IjY1lwIABPPzww9SsWZPy5cu7HZJxwerVq+nbty9jx47l1VdfJVeuXBw+fDjh+fg6bFVl//79/PHHH8yZM4fbb7/drZBNJgsJCSE2NtbtMIwJyBLLTDR16lTq16/PL7/8woEDB9wOx3jIv//+S8uWLRk1ahQREREsXLiQQoUKuR2WcUFsbCwtWrSgfv36/Pvvv6xdu5YPPviAN998E4CcOXMSGxvLokWLKFasGO+88w5ly5Z1OWqTmeLrbY3xIkssM0FcXBzPPvssHTt2pE6dOqxevdqW3zOJTJw4kUWLFjF+/HjGjRtHzpw53Q7JZLIZM2bwxRdfkCNHDubPn8+AAQOoXbs2rVq1onz58owYMYLIyEgAfvnlF7777juXIzZuyZUrF2fPnnU7DGMCssE7mWDgwIG89tprPPLII0RGRtoarybBmTNnuPTSS+nbty+333471apVczskk8kOHDjAvffeS9myZdm0aROPPvoo7777LqdPn+bEiROMGDEC8F3xiIyM5JFHHqFSpUpUqlTJ5ciNW2zlHeNl1mOZCbp27cro0aN59913Lak0CaZOnUqFChX466+/CAkJsaQyGzp16hQ9e/bkjjvuYMqUKcybN49JkyYRHR1NqVKl+PPPPxP23bp1K/nz57fvEEP+/PktsTSeZT2WGWTLli1Mnz6dl156iQoVKlChQgW3QzIeERcXx3PPPcfw4cO58847bS34bCx37tw8+eSTCd8PZcuWpX79+hw4cIA77riD6Oho7rzzTipWrMj69et56623bC5TQ+7cuW0pT+NZ1mOZAZYuXUrt2rV5//332bNnj9vhGA85efIkDz74IMOHD6d79+4sXryYwoULux2WcVFYWFiigVp79+5l165dgG+p186dO3PzzTfzf//3f9arbQBfT3euXLncDsOYgKzHMp1NmDCBXr16UalSJRYsWEDJkiXdDsl4yJAhQ/j4448ZPXo0jz/+uPU+mYSBWtHR0eTMmZPQ0FBuvPFGAAYMGEC7du2oWrWqixEarzlx4gS5c+d2O4wgFwscPu9e5lzWY5mOhg4dyqOPPkrDhg1ZuXKljfw2CVQV8CWWS5YsoV+/fpZUmkTiE8wyZcrw1Vdf0aBBA86ePWtJpTnH8ePHrcfSeJYllumoVq1aPPbYY8yfP5/8+fO7HY7xiHnz5nHXXXdx8uRJChQowN133+12SMbDNm3axLBhw+jUqRNjxoxxOxzjQbako/EySywv0t69e5k9ezYATZo0YcyYMeTIYRUGxtdL+eqrr3Lvvfdy8uRJTpw44XZIxkOSWzmla9euLFq0iPbt22dyRCarCA0NtZV3jGdZYnkRfvzxR2rWrEnXrl05ePCg2+EYDzl79izdunVj4MCBPPDAA0RFRXH55Ze7HZbxiLlz51KlSpWAK3CFh4fTqFEjF6IyWYWtvGO8zBLLC/TFF19Qp04dzp49y5dffknRokXdDsl4SO/evXnvvfd47rnnmDFjhhXaG8DXiz1s2DDuv/9+8ufPb8mBuSCWWBovs2u2F2DSpEl0796dChUq8Nlnn1GmTBm3QzIe89RTT1GvXj0eeught0MxHnH69Gm6du3KtGnTaNeuHRMnTrQBGOaChISEJAwINMZrrMfyAhw8eJC77rqLVatWWVJpEnz99df06dMHVaVcuXKWVJpEnn76aaZNm8ZLL73E1KlTs11SKSJXisiXIvKziGwRkb7O9sIislREtjp/Fkrm+MYi8quIbBORpzM3em+xxNJ4mSWWqXTmzBk2bdoEQP/+/fnss88oUKCAy1EZr5g2bRp33303S5Ys4dChQ26HYzzo2Wef5dNPP2Xw4MHZdaqpGOBJVa0I1AIiROQG4GlgmapeByxzHiciIqHAeKAJcAPQ1jk2WxIRuxRuPMsSy1Q4dOgQDRo0oF69evzzzz+IiI38NoCvZu7555+nffv21K5dm9WrV1u9rUmwcOFCWrRowdmzZylatCjNmzd3OyTXqOoeVf3Ouf8v8DNQCmgBfODs9gHQMsDhNYBtqrpDVc8CM53jsiVVza4/TjJRDPBPOt2yF8uOzmP79u2Eh4ezc+dOPvjgA1t+zyTSu3dvIiMj6dy5M++88w6XXHKJ2yEZD1BV3nzzTfr168dNN93EkSNHKFasmNtheYaIXA3cDKwFiqvqHvAlnyISqKFKAX/5Pd4F1Axw3u5Ad4DixYsTFRV13liOHz+eqv28ZPfu3YSEhGS5uCFrtrdJG0ssU7B27VqaNWtGbGwsX3zxBXXr1nU7JOMx9957L6VKlWLQoEHWg2AA3+TVffv2JTIykpYtWzJ16lTy5cvndlieISL5gLnA46p6LJX/bgLtdE6RoapOACYAhIWFab169c574qioKFKzn5cULFiQnDlzZrm4IWu2t0kbuxSegnfffZf8+fPzzTffWFJpEmzdupWJEycCUL9+fZ555hlLKk2CHj16EBkZyYABA5g7d64llX5EJCe+pHKaqn7sbN4nIiWc50sA+wMcugvwXyO3NLA7I2P1stjYWFt5x3iW9VgGcOzYMQoUKMD48eM5duyYTWxtEnz99de0bNmS0NBQ7r//fgoWLOh2SMZj+vbtS506dejSpYvboXiK+H59vQf8rKqj/Z6aD3QCRjh/fhrg8G+B60SkLPA30AbIttMu5MqVi7Nnz7odhjEBWY+ln7i4OJ544gmqV6/OkSNHuPTSSy2pNAlmzJjB3XffTdGiRVm9erUllSbBN998w+DBg1FVKleubEllYHWADsBdIrLRuYXjSygbiMhWoIHzGBEpKSILAVQ1BugNLMY36Ge2qm5x4014Qd68eTl9+rTbYRgTkPVYOk6dOkWHDh2YO3cuffr0IX/+/G6HZDxkxIgRDBo0iNtvv51PPvnEBnGZBDNmzKBLly6ULl2a/v37U6hQwGkYsz1VXUngWkmA+gH23w2E+z1eCCzMmOiyFkssjZdZjyW+6YTuvvtu5s6dy2uvvcaYMWOsfsUkkjdvXtq1a8eSJUssqTSAb+T3//73Px566CFq1KjBmjVrLKk0mUJEbIJ041mWWAJ9+vRhw4YNzJ49myeeeMIGYhgAjh49yurVqwHfZ2Tq1KlceumlLkdlvKJXr14MGTKE9u3bs3TpUpu/1GSa06dP29RmxrPsUjjw+uuv07t3b2rXru12KMYj/vzzT+655x7+/vtvdu7cSYECBewHh0mkcePGlChRgueee84+GyZTnTp1yhLLDBc/QbpJqwzrsfT6urCfffYZDzzwANHR0RQvXtySSpPg+++/p1atWvz555/MmTPHlu40CbZu3crMmTMBaNGiBUOGDLGk0mS6M2fOkDNnTrfDMBlAfMY6uc8PInJLMvu9JyKbnH0+cuaHRUQKicgnzvZ1InJj5r6DjL0U7tl1YSdOnEjz5s3ZsWMHx44dS6/TmiCwaNEi6tatS44cOVi1ahX1658zpsBkUytXruTWW2+lX79+HD9+3O1wTDamqoSEWCVbkGoCXOfcugNvJbNfP1Wtoqo3AX/imzUB4Blgo7O9IzAmg+M9R4Z9Mr24LqyqMnToULp160ajRo346quvKFKkyMWe1gSRefPmUb58edasWcONN2b6Dz3jUTNmzKB+/foUKVKEr7/+2iY9N8ZklBbAFPVZAxSMX0DAn6oeg4T5YXPz30pUN+DrtENVfwGuFpHimRK5I1N+8qS0LiyQ2nVhS11sHE899RQvvvgiDz/8MJ9++qn952AA3w+Offv2ATBu3DhWrFhByZIlXY7KeMWwYcN46KGHuPXWW1m9ejXXXnut2yEZY4JXqvMfEZkE7AUqAG86mzcB9zrP1wCuwrdSVabJ8MQy6bqwqT0swLaAcyuISHcRWS8i6w8cOJDiSdu0acP//vc/Jk6caPUpBvDVKrVv355bb72Vo0ePkjNnTvvBYRKJi4ujQ4cOLF682KaaMp5h0w1lKUXj8xTn1j2FfVOd/6hqF6AkvivCrZ3NI4BCIrIR6AN8j680MdNk6KjwlNaFVdU96bEurKpOACYAhIWFndP4+/bt46OPPiIiIoJbbrmFW24JWAdrsqEjR47QqlUroqKiGD58uA3SMQmOHDnCjh07uOWWW3j22WcBbJCO8YyQkBBLLLOWg6oaltyTIhIBdHMefksq8x8AVY0VkVnAAGCS04HXxTmvAL87t0yTkaPCz7cuLKRiXVgRuQTfurDz0xrDtm3bqF27NgMHDmTnzp1pPdwEsT///JM6deqwatUqpk2bxqBBgyxxMAD88ccf1KlTh3vuuYeTJ08iIvbZMJ5iiWVwUdXxqlpVVasC84COzujwWsDR+PLBeM5z18bfB5oBvziPCzp5E0BXYEUarhani4zssYxfF3az0yULvtFKI4DZIvIIvpFMD4BvXVhgoqqGq2qMiMSvCxsKvJ/WdWHXrVtH06ZNiYuLY/ny5Vx99dXp8qZMcHjiiSf4+++/Wbx4MXfeeafb4RiPWL9+PU2bNuXMmTN88skn5MmTx+2QjDmHrbwT1BbiW8p0G3ASp/cRQEQW4ksW9wIfiEgBfJfONwE9nd0qAlNEJBb4CXgk80L3ybDE0s11YRctWsT9999PsWLFWLx4MeXLl7+Q05ggpKqICO+88w579+6lUqVKbodkPGL+/Pm0bduWYsWK8eWXX1KxYkW3QzImoLi4OJtuKEip7xdDRDLPhfs9rJPMPqvxTVXkmqBceefo0aNUrFiRBQsWcMUVV7gdjvGIDz74gBkzZjB//nyKFCliU02ZRKZPn06lSpX4v//7P4oXz9TZOYxJk9jYWCvPyHCx2Mo7FyYof/K0adOGNWvWWFJpAF8v5UsvvUTnzp2JjY3lzJkzbodkPCIuLo6DBw8CMGnSJKKioiypNJ5nPZbGy4L2k5kjR1B2xpo0iomJoUePHjz33HN06NCBzz77jPz587sdlvGAU6dO0bp1a+rVq8fJkyfJnTu31VSaLCG+pMcYLwraxNIYgIiICCZMmMCgQYP44IMPuOSSS85/kAl6Bw8epH79+sydO5dHHnmE3Llzux2SMWlig3eMV1m3nglqvXv3plq1anTvntJ8tCY72b59O02aNOGvv/5izpw53HfffW6HZEyaWG+l8TLrsTRBZ8eOHbz88suoKpUrV7ak0iTSs2dP/vnnH5YtW2ZJpcmSbLoh42XWY2mCyoYNGwgPDycmJoaOHTtSqtRFLzFvgkR8XdqkSZM4ceKETUNmsiybIN14mfVYmqCxZMkS6tWrR+7cuVm1apUllSZBZGQk999/P7GxsZQqVcqSSpOlWY+l8TJLLE1Q+PDDD7nnnnsoV64c33zzDRUqVHA7JOMBcXFxPP3000RERBAdHc3Zs2fdDsmYi2aJpfEyuxRugkK+fPm48847+eijjyhQoIDb4RgPOHPmDA8//DDTp0+nZ8+ejB071qYhM0HBEsvMEINNkH5hrMfSZFlxcXGsXbsWgJYtW7J48WJLKk2Cjh07Mn36dIYPH8748eMtqTRBw0aFGy+zxNJkSWfOnOGhhx6iTp06/PTTT4B92ZrEnnjiCaZOncqgQYPss2GMMZnEEkuT5Rw7dozw8HBmzZrFyy+/TMWKFd0OyXjEjz/+yOuvvw5AzZo1ad++vcsRGWNM9mLXhkyWsnfvXsLDw9m8eTNTpkyhQ4cObodkPOKrr76iRYsW5MmTh06dOlG4cGG3QzLGmGzHeixNljJz5kx+/fVX5s+fb0mlSTBnzhwaNmxIyZIlWb16tSWVxhjjEkssTZYQHR0NQN++fdm8eTNNmjRxOSLjFW+++SatW7emevXqrFy5kquuusrtkIwxJtuyxNJ43vLly7n++uv55ZdfEBGuueYat0MyHlKgQAHuvfdeli5daj2VxhjjMkssjafNmTOHJk2akDdvXvLnz+92OMYjzp49y5o1awDo1KkTc+bMIXfu3C5HZYwxxgbvGM+KjIykd+/e1KlTh/nz51OoUCG3QzIe8O+//3Lffffx9ddfs3XrVkqXLm3TCRlj0lksNkH6hbHE0njSzJkziYiIoHnz5sycOdN6owwA+/btIzw8nE2bNvHuu+9SunRpt0MyxhjjxxJL40ktWrRg5MiR9OvXz1ZMMQBs376dRo0asWfPHubPn094eLjbIRnjip49e1KpUiW3wzAmIKuxNJ5x5swZnnnmGY4cOULu3LkZMGCAJZUmwQcffMCRI0dYvny5JZUmW7vjjjuoW7eu22EYE5AllsYTjh8/TrNmzXj55ZdZtGiR2+EYDzlz5gwAzz//PN9//z01a9Z0OSJjjDHJscTSuO7QoUPUr1+f5cuXM2nSJNq2bet2SMYjZs6cSYUKFfjjjz8ICQnhyiuvdDskY4wxKbDE0rhq165d1K1bl02bNvHxxx/TuXNnt0MyHjF27Fjatm1LmTJluOyyy9wOxxhjTCpYYmlcparkyJGDxYsX07x5c7fDMR6gqgwePJi+ffvSqlUrFi9eTMGCBd0OyxhjTCrYyAjjiq1bt3LNNddw5ZVXsnHjRkJC7DeO8RkzZgzDhw+ne/fuREZGEhoa6nZIxhhjUsn+NzeZLioqimrVqvH8888DWFJpEnn44YeJjIzk7bfftqTSGGOyGPsf3WSq//u//6Nx48ZceeWV9OjRw+1wjEccPXqUxx9/nBMnTlCgQAF69uxpq+kEGRF5X0T2i8iPfttmichG57ZTRDYmc+xOEdns7Lc+04I22VgMcDidbtmLJZYm00ydOpVWrVpx0003sWLFCkqVKuV2SMYD9u7dyx133EFkZCRr1651OxyTcSYDjf03qGprVa2qqlWBucDHKRx/p7NvWMaFaIy5WJZYmkyxb98+evTowR133MGyZcsoUqSI2yEZD9i+fTt16tRh27ZtLFiwgLvuusvtkEwGUdUVJLP4svi6px8EZmRqUMaYdGeDd0ymKF68OF9++SU33XQTuXLlcjsc4wE//PADDRs2JDo6mmXLltnE59lbXWCfqm5N5nkFloiIAu+o6oRAO4lId6A7+L5zoqKizvvCx48fT9V+XmNxG6+yxNJkGFVlwIABXH/99XTr1o0aNWq4HZLxkNy5c3PllVcyZcoUKlas6HY4xl1tSbm3so6q7haRYsBSEfnF6QFNxEk4JwCEhYVpvXr1zvvCUVFRpGY/r7G4jVfZpXCTIWJjY+natSuvvfYaP/30k9vhGA/ZuHEjqsp1113HunXrLKnM5kQkB3AvMCu5fVR1t/PnfuATwH6lGuNRGZZYJjMCsKqIrIkf2SciAb8cRKSxiPwqIttE5OmMitFknBEjRvD+++8zZMgQRo8e7XY4xiN+++03wsLCGD9+PICN/DYAdwO/qOquQE+KSF4RyR9/H2gI/BhoX2OyOvEZ6+Q/P4jILcnsN1lEfvebVaFqWo7PSBl5KXwyMA6Y4rdtJPCCqi4SkXDncT3/g0QkFBgPNAB2Ad+KyHxVtW6vLOSxxx7jqquuon379m6HYjykfPnyTJo0iZYtW7odislkIjID3/d9URHZBQxV1feANiS5DC4iJYGJqhoOFAc+cX6E5ACmq+rnmRm7MZmoCXCdc6sJvOX8GcgAVf3oIo7PEBmWWKrqChG5OulmoIBz/zJgd4BDawDbVHUHgIjMBFoAllhmIfnz57ek0gTUoUMHt0MwLlDVtsls7xxg224g3Lm/A6iSocEZ4x0tgCmqqsAaESkoIiVUdU8mHX/RMnvwzuPAYhEZhe8yfO0A+5QC/vJ7vIsUsm3/UYDAGf9L79lcUeCg20F4iLXHf6wtErP2SOx6twNIDxs2bDgoIn+kYtes+vdvcSfvqos/xdHF8H9FL/48AORKMrH/hORmNiBwDlQKCJQYDhORIcAy4GlVPZPG4zNEZieWPYF+qjpXRB4E3sNXX+MvUNGVJndC/1GAIrLeJs/1sbZIzNrjP9YWiVl7JBYsK9uo6uWp2S+r/v1b3BlLVRuff68MkdocaBCwF7gEXw70FPBiGo7PMJk9KrwT/62sMIfAI/t2AVf6PS5N4EvmxhhjjDFZmohExA/CwZfvnDcHUtU96nMGmMR/+ZTrOVRmJ5a7gTuc+3cBgSbD/Ra4TkTKisgl+Aq752dSfMYYY4wxmUZVx/stbToP6OiM7q4FHA1UHykiJZw/BWjJfzMlzE/N8Rkpwy6FBxoBCHQDxjjzlp3GqY30HwGoqjEi0htYDIQC76vqllS+bHI1C9mRtUVi1h7/sbZIzNojsezWHln1/VrcwWkhvoFr24CTQJf4J0RkIdDVGdw2TUQux3fpeyPQ43zHZxbxDRwyxhhjjDHm4tjKO8YYY4wxJl1YYmmMMcYYY9KF5xNLEcklIutEZJOIbBGRF/ye6+Ms/bhFREYmc3xQLQ+ZXHuIyCy/pZ12OqPLAh0fNO2RQltky6VDU2iPKiKyWkQ2i8j/iUiBZI4PqvYA30peIvK9iCxwHhcWkaUistX5s1AyxwVdW0DA9njA+azEiUiyU8AEU3uk4TNwzrLEbjhf2zuDNFxdwi9ATOeLuYLznXRGRPq7EaPJQKrq6Ru+wtR8zv2cwFqgFnAn8AVwqfNcsQDHhgLbgWvwzfW0CbjB7feUEe2RZJ/XgCHB3h4pfDaWAE2c7eFAVLC3xXna41vgDmf7w8D/skN7OO/rCWA6sMB5PBLfRMIATwOvZJe2SKY9KuKbED0KCEvmmKBqj9R8BpznbgduAX50Mdbztr3zHbfI+fdfC1jrcvumJuZiQHVgGNDf7c+E3dL35vkeS/U57jzM6dwU32TrI9Q3hxOquj/A4QnLQ6rqWSB+ecgsK4X2ABKmHniQJGvvOoKqPVJoizQtHRoMbQEptsf1wApn+1LgvgCHB117iEhp4B5got/mFsAHzv0P8E3TkVTQtQUEbg9V/VlVfz3PocHWHqn5DKCqK4B/Mimm5KSm7ROW8FPVNUBBcaaiccl5Y1bV/ar6LRDtRoAmY3k+sYSEyzcbgf3AUlVdC5QH6orIWhH5SkSqBzg0uaWNsrRk2iNeXWCfqgaaIzTo2iOZtngceFVE/gJG4VuhIKmgawtItj1+BJo7uzxA4slz4wVje7wBDATi/LYVV2dON+fPYgGOC8a2gMDtkRrB1h6p+Qx4RWra3mt/P16Lx2SyLJFYqmqs+iYOLQ3UEJEb8c3BWQhf1/8AYLbTW+fP9aWNMkIy7RGvLYF7KyEI2yOZtohfOvRKoB++pUOTCrq2gGTb42EgQkQ2APmBswEODar2EJGmwH5V3XAhhwfYlmXbArJfe4jIFyLyY4BbVutpTU3be+3vx2vxmEyW2WuFXxRVPSIiUUBjfL+CPlZVBdaJSBy+xe0P+B3i+tJGGSlJe/wovonn7wWqJXNI0LZHkrboBPR1nppD4kuh8YK2LSBxe6jqKKAhgIiUx3c5NKlga486QHMRCQdyAQVE5ENgn4iUUNU9zuXCQCU0wdYWkEx7qGr7VByb5dpDVe9O7jkRSc1nwCtS0/Ze+/vxWjwmk3m+x1JELheRgs793MDdwC/4lj26y9leHl+R8MEkhwfd8pAptAfx91V1VzKHB1V7pNAW2XLp0OTaQ0SKOdtCgGeBtwMcHlTtoaqDVLW0ql6N770sd5Ko+fh+eOD8+WmAw4OqLSDF9kiNYGuP1HwGvCI1be/6En5JBNvnxaSV26OHzncDbgK+B37AVys2xNl+CfChs+074C5ne0lgod/x4cBv+EapDXb7/WRUezjPTQZ6JNk/aNsjhc/GbcAGfKMR1wLVgr0tztMefZ33+Rswgv9W3Arq9vB7X/X4bxR0EWAZvh8by4DC2aktArRHK3w9TGeAfcDiYG+PNHwGZgB78A0w2QU84lK857Q9vuX7ejj3BRjvPL+ZZEb3eyzmK5w2PQYcce4XcDtuu6XPzZZ0NMYYY4wx6cLzl8KNMcYYY0zWYImlMcYYY4xJF5ZYGmOMMcaYdGGJpTHGGGOMSReWWBpjjDHGmHRhiaUxAYjIZBG537k/UURuOM/+PUSko3O/s4iUvIDXbCsig9N4zCARaecfrzHGGOOWLLXyjjFuUNWuqdjHf9LxzvjmkUzrahONgbFpPKYh8CDQII3HGWM8xFnA4H9AAWC9qn7gckjGXBDrsTTZgojkFZHPRGSTs2Zwa2f7EBH51tk2IcB684hIlIiEOfePi8gw5zxrRKS4s/15Eenv9BqGAdNEZKOI3CMin/idq4GIfBzgNQSoim+yf//teURktoj8ICKzRGStXywFgEtU9UCSY/7n9GCGiEi4iPwiIitFZKyILLi4ljTGJCUi74hInQDb3xeR/SLyY5LtjUXkVxHZJiJPO5tbAKX4b0L2C40ll4isc76jtojICxdxroDxB9ivjYh8JyKP+227QkRmish2EflJRBY6q+Rd8OuYrMESS5NdNAZ2q2oVVb0R+NzZPk5VqzvbcgNNz3OevMAaVa0CrAC6+T+pqh8B64F2qloVWAhUFJHLnV26AJMCnPdmYJOeu2JBL+Cwqt6ErzfDfx34u/GtHJJAREYCxZzXuQR4B2iiqrcBl2OMyQg1gTUBtk/G992TQERC8a2U0wS4AWjrlNpcD6xW1SeAnhcRyxl8K9FVwfdjtbGz1OOFmEyS+JPRBqgO1BKRfM4P5U+AKFUtp6o3AM8AxS/ydUwWYImlyS42A3eLyCsiUldVjzrb73R6ATfjW1e80nnOcxaI7/XbAFyd0s5OojgVaO+s430rsCjAro2T2X4bMNM514/4lmtM7pjngIKq+qjzuhWAHar6u/P8jJRiNcYkJiKDnZ7FL0Rkhoj0D7BPReA3VY1N+pyqrgD+SbK5BrBNVXeo6ll8/75b4OulPOzsc865RORq5+rDROcKyzQRuVtEVonIVhGp4bymqupx57Cczu2cJfaSu4qTivgDib/So879O4Fo/xIhVd2oql8HOjgNr2OyAEssTbagqr/h6+3bDLzsXALPBUQC96tqZeBdINd5ThXt16sYS+rqlCcB7YG2wBxVjQmwT0NgSYDt51ya91MDWOf3+FugmogUTsWxxpgUiEg1fD1xNwP34uuRC6QJ/10BSY1SwF9+j3c52z4GGonIm/iuhgRyLTAGuAnfD8eH8P347I+vRzA+9lAR2QjsB5aq6toA50ruKs6F+BjflZr1qvovcCO+H94mG7LE0mQLzijtk6r6ITAKuIX/ksiDIpIPSK9R1f8C+eMfqOpufAN5nsV3ySdpbJcBOVT1UIBzrcQ3OAfnclll534l4JckvSSfAyOAz0QkP/ALcI2IXO08f06PhDEmWXWBT1T1pKoeA+Yns18j0paUBfrBp87rPKKqfVR1fDLH/q6qm1U1DtgCLHN+6G7G7+qJqsY6pTilgRoicmOAcyV3FSfNVPUDVb1ZVV+70HOY4GGjwk12URl4VUTi8BXH91TVIyLyLr4v2J34evzSw2TgbRE5BdyqqqeAacDlqvpTgP0bAF8kc65I4AMR+QH4Ht+l8KP4Lp2d85+Zqs5xksr5QDi+Gs3PReQgiXs3jTHnd84lZH8ikgdf+UlaZoDYBVzp97g0qZ9B4ozf/Ti/x3EE+P/c+Y6Lwtc7+WOS535zemXD8V3FWQIc4r+68fA0vi9/W0jmh7qIRKTTaxiPknPHChhj0puIjAO+V9X3Ajw3EZioqucU/zuF/jlV9bSIlMM3WKc88BnQUVX3nOd186nqcaeYfjywVVVfT4e3ZExQE5Fb8P1IrIkvafsOeEdVR/ntcw9QV1WfDngS3z5XAwucy82ISA7gN6A+8De+H7QPqeqW88ST9DyTnccf+T/nDBSMdpLK3PhKbF5R1QVJzlcS+Mf5bmkJdFbVlud73dRwvm/W4Ptee9fZVh3Io6pfpeb9mazLLoUbk8FEZAO+mqgPAz2vql0DJZWOPMBKEdmEb5RlT1U9q6oNzpdUOro5tVZbgMvwjRI3xpyHqn4HzAI2AnOBQANPUqyvFJEZwGrgehHZJSKPODXWvYHFwM/A7PMllWlUAvjSucrxLb4ay0DTjFUG1jnfD4OBl1ITf2oCcC7PtwIaONMNbQGeJ5me2Qt9HeNN1mNpjDHGnIeIPA8cT9Jj+R1QU1WjXQvMGI+xGktjjDHmAqjqLW7HYIzXWI+lMcYYY4xJF1ZjaYwxxhhj0oUllsYYY4wxJl1YYmmMMcYYY9KFJZbGGGOMMSZdWGJpjDHGGGPShSWWxhhjjDEmXVhiaYwxxhhj0oUllsYYY4wxJl1YYmmMMcYYY9LF/wMN1XWupOtzewAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 720x720 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "vmax = 0.5\n",
    "\n",
    "fig = plt.figure()\n",
    "gs = gridspec.GridSpec(2, 2,width_ratios=[2, 1],height_ratios=[1, 4])\n",
    "\n",
    "ax1 = plt.subplot(gs[0])#top left\n",
    "ax2 = plt.subplot(gs[1])#top right\n",
    "ax3 = plt.subplot(gs[2])#bottom left (main panel)\n",
    "ax4 = plt.subplot(gs[3])#bottom right\n",
    "fig.set_size_inches(10,10)\n",
    "\n",
    "#plot the T-S TEF in main panel with density contours\n",
    "pcol = ax3.pcolor(out2d.var_q2,\n",
    "                  out2d.var_q, \n",
    "                  out2d.q2.mean('time')/1000000.,\n",
    "                  cmap=plt.cm.get_cmap('seismic', 41),\n",
    "                  vmin=-vmax,vmax=vmax)\n",
    "#plot density contour\n",
    "cont = ax3.contour(out2d.var_q2, \n",
    "                   out2d.var_q,\n",
    "                   dens, \n",
    "                   linestyles='dashed', colors='k')\n",
    "\n",
    "plt.clabel(cont, fontsize=10, inline=1, fmt='%1.1f')\n",
    "ax3.tick_params('both', colors='black')\n",
    "ax3.set_xlabel('salinity / g/kg')\n",
    "ax3.set_ylabel('temperature / °C')\n",
    "ax3.yaxis.set_major_formatter(FormatStrFormatter('%.1f'))\n",
    "ax3.xaxis.set_major_formatter(FormatStrFormatter('%.1f'))\n",
    "v = np.linspace(-vmax, vmax, 10, endpoint=True)\n",
    "cbar=plt.colorbar(pcol,ticks = v, format = \"%.2f\",pad=0.1)\n",
    "cbar.set_label('q / 10$^6$ m3 s-1 (g/kg)-1 °C-1')\n",
    "cbar.ax.tick_params()\n",
    "\n",
    "# plot the 1D profiles, computed from the 2D:\n",
    "# salt TEF\n",
    "deltaT= out2d.var_q[1]-out2d.var_q[0]\n",
    "ax1.plot(out2d.var_q2,\n",
    "         out2d.q2.sum('var_q').mean('time')/1000000.0*deltaT, # division to scale the values\n",
    "         color='k') #integrate along temp dimension\n",
    "ax1.set_ylabel('q / 10$^6$ m3 s-1 (g/kg)-1')\n",
    "ax1.grid()\n",
    "\n",
    "# temp TEF\n",
    "deltaS= out2d.var_q2[1]-out2d.var_q2[0]\n",
    "ax4.plot(out2d.q2.sum('var_q2').mean('time')/1000000.0*deltaS, # division to scale the values\n",
    "        out2d.var_q,\n",
    "         color='k') #integrate along salt dimension\n",
    "ax4.set_xlabel('q / 10$^6$ m3 s-1 °C-1')\n",
    "ax4.grid()\n",
    "ax2.axis('off')\n",
    "plt.gcf().subplots_adjust(bottom=0.15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Whereas the inflow (red) and outflow (blue) are well separated in salinity, they overlap in temperature (from ~25 to ~26°C). Think about seperating those two clusters by either a horizontal line for temperature and a vertical line for salinity. For salinity this is easily possible. When integrating along the temperature axis - this will result in the 1D salt TEF - almost no partial compensation occurs, leading to larger bulk values for transport. In contrast intergating along the salinity axis - this will result in the 1D temperature TEF - a lot of positive and negative contributions are summed into the respective temperature bin, leading to smaller volume bulk values. \n",
    "\n",
    "### Temporal variability of the exchange flow\n",
    "\n",
    "Let's now have a look at the temporal variability of the exchange flow in January 2011.\n",
    "\n",
    "In this example `dt = 1 hour`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x175188c10>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 792x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(2, 1, sharex=True, sharey=False, figsize=(11, 8))\n",
    "ax = ax.ravel()\n",
    "\n",
    "vmax = 3.0\n",
    "\n",
    "pcol = ax[0].pcolormesh(out1d_vol_transport_s.time.values,\n",
    "                        out1d_vol_transport_s.var_q,\n",
    "                        out1d_vol_transport_s.q.T/1000000,\n",
    "                        cmap='seismic',\n",
    "                        vmin=-vmax,\n",
    "                        vmax=vmax)\n",
    "ax[0].set_ylim(41,36) #invert salinity axis\n",
    "ax[0].set_ylabel('salinity / g/kg')\n",
    "ax[0].grid()\n",
    "plt.colorbar(pcol,\n",
    "             ax=ax[0],\n",
    "             label='q / 10$^6$ m3 s-1 (g/kg)-1')\n",
    "pcol = ax[1].pcolormesh(out1d_vol_transport_s.time.values,\n",
    "                        out1d_vol_transport_s.var_q,\n",
    "                        out1d_vol_transport_s.q\n",
    "                        .rolling(time=24, center=True) #rolling mean applied here and in the next line\n",
    "                        .mean().T/1000000,\n",
    "                        cmap='seismic',\n",
    "                        vmin=-vmax,\n",
    "                        vmax=vmax)\n",
    "ax[1].set_ylabel('salinity / g/kg')\n",
    "ax[1].grid()\n",
    "ax[1].set_ylim(41,36)\n",
    "plt.xticks(rotation=90)\n",
    "plt.colorbar(pcol, ax=ax[1], label='q / 10$^6$ m3 s-1 (g/kg)-1')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One can nicely see the variability of the exchange flow: The range in salinity changes, e.g. around January 9th Indian Ocean Surface Water with  a salinity of 37 g/kg arrives again at the transect. \n",
    "In addition, a clear tidal signal is present, i.e., inflow and outflow are alternating. When smoothing, by applying a window mean of 24 hours (bottom panel) the semi  diurnal tides are filtered out and variability on larger time scales is more distinctly seen, e.g., the period of ~4 days. \n",
    "\n",
    "Let's now compute the time series of bulk values:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\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: 744, var_q: 100, var_Q: 101)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2011-01-01T01:00:00 ... 2011-02-01\n",
       "  * var_q    (var_q) float64 36.02 36.07 36.12 36.17 ... 40.83 40.88 40.93 40.98\n",
       "  * var_Q    (var_Q) float64 36.0 36.05 36.1 36.15 ... 40.85 40.9 40.95 41.0\n",
       "Data variables:\n",
       "    q        (time, var_q) float64 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    Q        (time, var_Q) float64 1.193e+06 1.193e+06 1.193e+06 ... 0.0 0.0 0.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-add9c09b-f191-4ce3-b4fa-9b27823ba8b7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-add9c09b-f191-4ce3-b4fa-9b27823ba8b7' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 744</li><li><span class='xr-has-index'>var_q</span>: 100</li><li><span class='xr-has-index'>var_Q</span>: 101</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-582aa760-51f0-41c8-946a-befc70026a4e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-582aa760-51f0-41c8-946a-befc70026a4e' 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</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2011-01-01T01:00:00 ... 2011-02-01</div><input id='attrs-67a9978c-dfbc-4385-a330-008b75f6f946' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-67a9978c-dfbc-4385-a330-008b75f6f946' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11d07d7b-7d9b-4502-86b1-374a5130ce13' class='xr-var-data-in' type='checkbox'><label for='data-11d07d7b-7d9b-4502-86b1-374a5130ce13' title='Show/Hide data 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([&#x27;2011-01-01T01:00:00.000000000&#x27;, &#x27;2011-01-01T02:00:00.000000000&#x27;,\n",
       "       &#x27;2011-01-01T03:00:00.000000000&#x27;, ..., &#x27;2011-01-31T22:00:00.000000000&#x27;,\n",
       "       &#x27;2011-01-31T23:00:00.000000000&#x27;, &#x27;2011-02-01T00:00:00.000000000&#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'>var_q</span></div><div class='xr-var-dims'>(var_q)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>36.02 36.07 36.12 ... 40.93 40.98</div><input id='attrs-c6d46ed6-26df-4026-967a-c4a745e733a7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c6d46ed6-26df-4026-967a-c4a745e733a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7cc326bb-90dd-4475-ae09-90be7c1545ca' class='xr-var-data-in' type='checkbox'><label for='data-7cc326bb-90dd-4475-ae09-90be7c1545ca' title='Show/Hide data 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([36.025, 36.075, 36.125, 36.175, 36.225, 36.275, 36.325, 36.375, 36.425,\n",
       "       36.475, 36.525, 36.575, 36.625, 36.675, 36.725, 36.775, 36.825, 36.875,\n",
       "       36.925, 36.975, 37.025, 37.075, 37.125, 37.175, 37.225, 37.275, 37.325,\n",
       "       37.375, 37.425, 37.475, 37.525, 37.575, 37.625, 37.675, 37.725, 37.775,\n",
       "       37.825, 37.875, 37.925, 37.975, 38.025, 38.075, 38.125, 38.175, 38.225,\n",
       "       38.275, 38.325, 38.375, 38.425, 38.475, 38.525, 38.575, 38.625, 38.675,\n",
       "       38.725, 38.775, 38.825, 38.875, 38.925, 38.975, 39.025, 39.075, 39.125,\n",
       "       39.175, 39.225, 39.275, 39.325, 39.375, 39.425, 39.475, 39.525, 39.575,\n",
       "       39.625, 39.675, 39.725, 39.775, 39.825, 39.875, 39.925, 39.975, 40.025,\n",
       "       40.075, 40.125, 40.175, 40.225, 40.275, 40.325, 40.375, 40.425, 40.475,\n",
       "       40.525, 40.575, 40.625, 40.675, 40.725, 40.775, 40.825, 40.875, 40.925,\n",
       "       40.975])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>var_Q</span></div><div class='xr-var-dims'>(var_Q)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>36.0 36.05 36.1 ... 40.9 40.95 41.0</div><input id='attrs-fd305439-413d-41e5-83fb-4b628fae604b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fd305439-413d-41e5-83fb-4b628fae604b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c232d97-c9de-4c05-bd67-fb7b2e4dac41' class='xr-var-data-in' type='checkbox'><label for='data-5c232d97-c9de-4c05-bd67-fb7b2e4dac41' title='Show/Hide data 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([36.  , 36.05, 36.1 , 36.15, 36.2 , 36.25, 36.3 , 36.35, 36.4 , 36.45,\n",
       "       36.5 , 36.55, 36.6 , 36.65, 36.7 , 36.75, 36.8 , 36.85, 36.9 , 36.95,\n",
       "       37.  , 37.05, 37.1 , 37.15, 37.2 , 37.25, 37.3 , 37.35, 37.4 , 37.45,\n",
       "       37.5 , 37.55, 37.6 , 37.65, 37.7 , 37.75, 37.8 , 37.85, 37.9 , 37.95,\n",
       "       38.  , 38.05, 38.1 , 38.15, 38.2 , 38.25, 38.3 , 38.35, 38.4 , 38.45,\n",
       "       38.5 , 38.55, 38.6 , 38.65, 38.7 , 38.75, 38.8 , 38.85, 38.9 , 38.95,\n",
       "       39.  , 39.05, 39.1 , 39.15, 39.2 , 39.25, 39.3 , 39.35, 39.4 , 39.45,\n",
       "       39.5 , 39.55, 39.6 , 39.65, 39.7 , 39.75, 39.8 , 39.85, 39.9 , 39.95,\n",
       "       40.  , 40.05, 40.1 , 40.15, 40.2 , 40.25, 40.3 , 40.35, 40.4 , 40.45,\n",
       "       40.5 , 40.55, 40.6 , 40.65, 40.7 , 40.75, 40.8 , 40.85, 40.9 , 40.95,\n",
       "       41.  ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5b11c568-4021-4e97-8a34-87c4220419ce' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5b11c568-4021-4e97-8a34-87c4220419ce' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>q</span></div><div class='xr-var-dims'>(time, var_q)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-912abe2f-f1b5-4380-bb90-7946aeaf0ec1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-912abe2f-f1b5-4380-bb90-7946aeaf0ec1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50da726e-679b-4330-8110-513648b769b9' class='xr-var-data-in' type='checkbox'><label for='data-50da726e-679b-4330-8110-513648b769b9' title='Show/Hide data 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.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Q</span></div><div class='xr-var-dims'>(time, var_Q)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.193e+06 1.193e+06 ... 0.0 0.0</div><input id='attrs-0d891c60-5d9f-412a-b7a7-935fe5420f4f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0d891c60-5d9f-412a-b7a7-935fe5420f4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35341a29-d1d6-4bb3-9ec2-bfbf865db2a0' class='xr-var-data-in' type='checkbox'><label for='data-35341a29-d1d6-4bb3-9ec2-bfbf865db2a0' title='Show/Hide data 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([[1193472.42288715, 1193472.42288715, 1193472.42288715, ...,\n",
       "              0.        ,       0.        ,       0.        ],\n",
       "       [1499865.12156391, 1499865.12156391, 1499865.12156391, ...,\n",
       "              0.        ,       0.        ,       0.        ],\n",
       "       [1651471.95417047, 1651471.95417047, 1651471.95417047, ...,\n",
       "              0.        ,       0.        ,       0.        ],\n",
       "       ...,\n",
       "       [ 930515.2145308 ,  930515.2145308 ,  930515.2145308 , ...,\n",
       "              0.        ,       0.        ,       0.        ],\n",
       "       [ 756195.3890568 ,  756195.3890568 ,  756195.3890568 , ...,\n",
       "              0.        ,       0.        ,       0.        ],\n",
       "       [ 672781.60055845,  672781.60055845,  672781.60055845, ...,\n",
       "              0.        ,       0.        ,       0.        ]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-80a514a3-bfa7-4114-937b-a6217aa1a7c5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-80a514a3-bfa7-4114-937b-a6217aa1a7c5' 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.Dataset>\n",
       "Dimensions:  (time: 744, var_q: 100, var_Q: 101)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2011-01-01T01:00:00 ... 2011-02-01\n",
       "  * var_q    (var_q) float64 36.02 36.07 36.12 36.17 ... 40.83 40.88 40.93 40.98\n",
       "  * var_Q    (var_Q) float64 36.0 36.05 36.1 36.15 ... 40.85 40.9 40.95 41.0\n",
       "Data variables:\n",
       "    q        (time, var_q) float64 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    Q        (time, var_Q) float64 1.193e+06 1.193e+06 1.193e+06 ... 0.0 0.0 0.0"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "out1d_vol_transport_s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 744/744 [01:26<00:00,  8.61it/s]\n"
     ]
    }
   ],
   "source": [
    "bulk_vol_s = calc_bulk_values(out1d_vol_transport_s.var_Q,\n",
    "                              out1d_vol_transport_s.Q)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 744/744 [00:01<00:00, 711.62it/s]\n"
     ]
    }
   ],
   "source": [
    "bulk_salt_s = calc_bulk_values(out1d_salt_transport_s.var_Q,\n",
    "                               out1d_salt_transport_s.Q,\n",
    "                               index=bulk_vol_s.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 744, m: 10, n: 10, o: 11)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2011-01-01T01:00:00 ... 2011-02-01\n",
       "  * m        (m) int64 0 1 2 3 4 5 6 7 8 9\n",
       "  * n        (n) int64 0 1 2 3 4 5 6 7 8 9\n",
       "  * o        (o) int64 0 1 2 3 4 5 6 7 8 9 10\n",
       "Data variables:\n",
       "    Qin      (time, m) float64 1.193e+06 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    Qout     (time, n) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    divval   (time, o) float64 37.5 40.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    index    (time, o) int64 30 80 0 0 0 0 0 0 0 0 0 ... 66 86 0 0 0 0 0 0 0 0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-580cebf7-b85c-46b6-b019-2de40af469c5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-580cebf7-b85c-46b6-b019-2de40af469c5' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 744</li><li><span class='xr-has-index'>m</span>: 10</li><li><span class='xr-has-index'>n</span>: 10</li><li><span class='xr-has-index'>o</span>: 11</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c231a940-601f-43c1-9b90-2ffccf4da534' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c231a940-601f-43c1-9b90-2ffccf4da534' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2011-01-01T01:00:00 ... 2011-02-01</div><input id='attrs-d9aac288-0d9f-4e34-97e6-5763c27c3000' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d9aac288-0d9f-4e34-97e6-5763c27c3000' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66652a2c-c4cf-440b-8de5-0ab985c61eab' class='xr-var-data-in' type='checkbox'><label for='data-66652a2c-c4cf-440b-8de5-0ab985c61eab' title='Show/Hide data 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([&#x27;2011-01-01T01:00:00.000000000&#x27;, &#x27;2011-01-01T02:00:00.000000000&#x27;,\n",
       "       &#x27;2011-01-01T03:00:00.000000000&#x27;, ..., &#x27;2011-01-31T22:00:00.000000000&#x27;,\n",
       "       &#x27;2011-01-31T23:00:00.000000000&#x27;, &#x27;2011-02-01T00:00:00.000000000&#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'>m</span></div><div class='xr-var-dims'>(m)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-30c7f6ed-4775-490e-a185-f3de0bfc080c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-30c7f6ed-4775-490e-a185-f3de0bfc080c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ef8548f-92cf-4840-a8a1-46c237f07b68' class='xr-var-data-in' type='checkbox'><label for='data-2ef8548f-92cf-4840-a8a1-46c237f07b68' title='Show/Hide data 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])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>n</span></div><div class='xr-var-dims'>(n)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-8d63b117-4509-4a6e-ba10-d26e54fb73b2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8d63b117-4509-4a6e-ba10-d26e54fb73b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74e229ea-4d7b-4f37-aea3-123b52979461' class='xr-var-data-in' type='checkbox'><label for='data-74e229ea-4d7b-4f37-aea3-123b52979461' title='Show/Hide data 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])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>o</span></div><div class='xr-var-dims'>(o)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9 10</div><input id='attrs-5025a096-2c74-4069-92c7-978d6e83161f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5025a096-2c74-4069-92c7-978d6e83161f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e27f5ad-fefc-4704-9ab9-721bf791bce8' class='xr-var-data-in' type='checkbox'><label for='data-0e27f5ad-fefc-4704-9ab9-721bf791bce8' title='Show/Hide data 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])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cf49c175-dffa-4dc7-8bb7-f4d29cde6a6e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cf49c175-dffa-4dc7-8bb7-f4d29cde6a6e' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Qin</span></div><div class='xr-var-dims'>(time, m)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.193e+06 0.0 0.0 ... 0.0 0.0 0.0</div><input id='attrs-b53c4378-d810-4c18-8f8d-181edd7a7496' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b53c4378-d810-4c18-8f8d-181edd7a7496' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e74170ad-feb0-43d2-8608-e1380a204e85' class='xr-var-data-in' type='checkbox'><label for='data-e74170ad-feb0-43d2-8608-e1380a204e85' title='Show/Hide data 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([[1193472.42288715,       0.        ,       0.        , ...,\n",
       "              0.        ,       0.        ,       0.        ],\n",
       "       [1499865.12156391,       0.        ,       0.        , ...,\n",
       "              0.        ,       0.        ,       0.        ],\n",
       "       [1651471.95417047,       0.        ,       0.        , ...,\n",
       "              0.        ,       0.        ,       0.        ],\n",
       "       ...,\n",
       "       [ 930515.2145308 ,       0.        ,       0.        , ...,\n",
       "              0.        ,       0.        ,       0.        ],\n",
       "       [ 793367.81623423,       0.        ,       0.        , ...,\n",
       "              0.        ,       0.        ,       0.        ],\n",
       "       [ 734163.17119663,       0.        ,       0.        , ...,\n",
       "              0.        ,       0.        ,       0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Qout</span></div><div class='xr-var-dims'>(time, n)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-ee1fe979-ea81-4ada-b27e-05f7f12c3fe7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ee1fe979-ea81-4ada-b27e-05f7f12c3fe7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98325ae4-01be-4f49-a622-096e59bdbc1a' class='xr-var-data-in' type='checkbox'><label for='data-98325ae4-01be-4f49-a622-096e59bdbc1a' title='Show/Hide data 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.        , ...,\n",
       "             0.        ,      0.        ,      0.        ],\n",
       "       [     0.        ,      0.        ,      0.        , ...,\n",
       "             0.        ,      0.        ,      0.        ],\n",
       "       [     0.        ,      0.        ,      0.        , ...,\n",
       "             0.        ,      0.        ,      0.        ],\n",
       "       ...,\n",
       "       [     0.        ,      0.        ,      0.        , ...,\n",
       "             0.        ,      0.        ,      0.        ],\n",
       "       [-37172.42717743,      0.        ,      0.        , ...,\n",
       "             0.        ,      0.        ,      0.        ],\n",
       "       [-61381.57063818,      0.        ,      0.        , ...,\n",
       "             0.        ,      0.        ,      0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>divval</span></div><div class='xr-var-dims'>(time, o)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>37.5 40.0 0.0 0.0 ... 0.0 0.0 0.0</div><input id='attrs-582a8cd4-f2ac-4c1f-a02b-4919527652d0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-582a8cd4-f2ac-4c1f-a02b-4919527652d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8389103-becc-4191-94cc-71b7bb80af2c' class='xr-var-data-in' type='checkbox'><label for='data-a8389103-becc-4191-94cc-71b7bb80af2c' title='Show/Hide data 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([[37.5 , 40.  ,  0.  , ...,  0.  ,  0.  ,  0.  ],\n",
       "       [37.45, 40.  ,  0.  , ...,  0.  ,  0.  ,  0.  ],\n",
       "       [37.4 , 40.  ,  0.  , ...,  0.  ,  0.  ,  0.  ],\n",
       "       ...,\n",
       "       [36.75, 40.3 ,  0.  , ...,  0.  ,  0.  ,  0.  ],\n",
       "       [36.75, 39.2 , 40.3 , ...,  0.  ,  0.  ,  0.  ],\n",
       "       [36.75, 39.3 , 40.3 , ...,  0.  ,  0.  ,  0.  ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>index</span></div><div class='xr-var-dims'>(time, o)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>30 80 0 0 0 0 0 0 ... 0 0 0 0 0 0 0</div><input id='attrs-f6731e29-83c1-4f19-baa4-cbaaab338688' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f6731e29-83c1-4f19-baa4-cbaaab338688' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2af8e1e-e8a4-43e4-8a1b-2a3cc7a4205e' class='xr-var-data-in' type='checkbox'><label for='data-d2af8e1e-e8a4-43e4-8a1b-2a3cc7a4205e' title='Show/Hide data 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([[30, 80,  0, ...,  0,  0,  0],\n",
       "       [29, 80,  0, ...,  0,  0,  0],\n",
       "       [28, 80,  0, ...,  0,  0,  0],\n",
       "       ...,\n",
       "       [15, 86,  0, ...,  0,  0,  0],\n",
       "       [15, 64, 86, ...,  0,  0,  0],\n",
       "       [15, 66, 86, ...,  0,  0,  0]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f9a95231-4b32-4602-8a38-a3e512a814fe' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f9a95231-4b32-4602-8a38-a3e512a814fe' 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.Dataset>\n",
       "Dimensions:  (time: 744, m: 10, n: 10, o: 11)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2011-01-01T01:00:00 ... 2011-02-01\n",
       "  * m        (m) int64 0 1 2 3 4 5 6 7 8 9\n",
       "  * n        (n) int64 0 1 2 3 4 5 6 7 8 9\n",
       "  * o        (o) int64 0 1 2 3 4 5 6 7 8 9 10\n",
       "Data variables:\n",
       "    Qin      (time, m) float64 1.193e+06 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    Qout     (time, n) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    divval   (time, o) float64 37.5 40.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    index    (time, o) int64 30 80 0 0 0 0 0 0 0 0 0 ... 66 86 0 0 0 0 0 0 0 0"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bulk_vol_s"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the monthly mean bulk values, we have seen that the exchange flow is following a two-layer exchange in both T and S. But on hourly scales we find some cases, where there is more than one inflow and/or more than one outflow (strongly depending on Q_thresh). We further find cases, where there is no inflow or no outflow due to the tides."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(36.0, 41.0)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "s_in  = bulk_salt_s.Qin / bulk_vol_s.Qin\n",
    "s_out = bulk_salt_s.Qout / bulk_vol_s.Qout\n",
    "\n",
    "fig,ax = plt.subplots(4,1,figsize=(12,12),sharex=True)\n",
    "\n",
    "for i in range(2):\n",
    "    ax[0].plot(bulk_vol_s.time, bulk_vol_s.Qin[:,i], label='Qin '+str(i+1))\n",
    "    ax[1].plot(bulk_vol_s.time, -bulk_vol_s.Qout[:,i], label='-Qout '+str(i+1))\n",
    "    ax[2].plot(bulk_vol_s.time, s_in[:,i], label='sin '+str(i+1))\n",
    "    ax[3].plot(bulk_vol_s.time, s_out[:,i], label='sout '+str(i+1))\n",
    "\n",
    "ax[0].legend(loc='upper left', bbox_to_anchor=(1.05, 1))\n",
    "ax[1].legend(loc='upper left', bbox_to_anchor=(1.05, 1))\n",
    "ax[2].legend(loc='upper left', bbox_to_anchor=(1.05, 1))\n",
    "ax[3].legend(loc='upper left', bbox_to_anchor=(1.05, 1))\n",
    "ax[0].set_ylabel('Qin / m3s-1')\n",
    "ax[1].set_ylabel('Qout / m3s-1')\n",
    "ax[2].set_ylabel('sin / g/kg')\n",
    "ax[3].set_ylabel('sout / g/kg')\n",
    "\n",
    "ax[2].set_ylim(36,41)\n",
    "ax[3].set_ylim(36,41)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To combine the multilayer bulk values to one value, one can simply sum over the second axis:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "Q_in = bulk_vol_s.Qin.sum(axis=1)\n",
    "Qs_in = bulk_salt_s.Qin.sum(axis=1)\n",
    "Q_out = bulk_vol_s.Qout.sum(axis=1)\n",
    "Qs_out = bulk_salt_s.Qout.sum(axis=1)\n",
    "\n",
    "s_in = Qs_in / Q_in\n",
    "s_out= Qs_out / Q_out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(36.0, 41.0)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots(4,1,figsize=(12,12),sharex=True)\n",
    "ax[0].plot(bulk_vol_s.time,Q_in,label='Qin')\n",
    "ax[1].plot(bulk_vol_s.time,-Q_out,label='-Qout')\n",
    "ax[2].plot(bulk_vol_s.time,s_in,label='sin')\n",
    "ax[3].plot(bulk_vol_s.time,s_out,label='sout')\n",
    "\n",
    "ax[0].legend(loc='upper left',bbox_to_anchor=(1.05, 1))\n",
    "ax[1].legend(loc='upper left',bbox_to_anchor=(1.05, 1))\n",
    "ax[2].legend(loc='upper left',bbox_to_anchor=(1.05, 1))\n",
    "ax[3].legend(loc='upper left',bbox_to_anchor=(1.05, 1))\n",
    "ax[0].set_ylabel('Qin / m3s-1')\n",
    "ax[1].set_ylabel('Qout / m3s-1')\n",
    "ax[2].set_ylabel('sin / g/kg')\n",
    "ax[3].set_ylabel('sout / g/kg')\n",
    "\n",
    "ax[2].set_ylim(36,41)\n",
    "ax[3].set_ylim(36,41)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Yet, this still has a lot of missing 0 included since the semi diurnal tides are so strong. One **must not** smooth the bulk values itself, but has to smooth Q and compute the bulk values again from the smoothed Q! We do this again by using the rolling function of xarray."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 744/744 [01:21<00:00,  9.11it/s]\n",
      "100%|██████████| 744/744 [00:01<00:00, 617.40it/s]\n"
     ]
    }
   ],
   "source": [
    "bulk_vol_s = calc_bulk_values(out1d_vol_transport_s.var_Q,\n",
    "                              out1d_vol_transport_s.Q\n",
    "                              .rolling(time=24, center=True)\n",
    "                              .mean(),\n",
    "                              Q_thresh=10000.0)\n",
    "\n",
    "bulk_salt_s = calc_bulk_values(out1d_salt_transport_s.var_Q,\n",
    "                               out1d_salt_transport_s.Q\n",
    "                               .rolling(time=24, center=True)\n",
    "                               .mean(),\n",
    "                               index=bulk_vol_s.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Q_in = bulk_vol_s.Qin.sum(axis=1)\n",
    "Qs_in = bulk_salt_s.Qin.sum(axis=1)\n",
    "Q_out = bulk_vol_s.Qout.sum(axis=1)\n",
    "Qs_out = bulk_salt_s.Qout.sum(axis=1)\n",
    "\n",
    "s_in = Qs_in / Q_in\n",
    "s_out= Qs_out / Q_out\n",
    "\n",
    "fig, ax = plt.subplots(4, 1, figsize=(12, 12), sharex=True)\n",
    "ax[0].plot(bulk_vol_s.time,Q_in,label='Qin')\n",
    "ax[1].plot(bulk_vol_s.time,-Q_out,label='-Qout')\n",
    "ax[2].plot(bulk_vol_s.time,s_in,label='sin')\n",
    "ax[3].plot(bulk_vol_s.time,s_out,label='sout')\n",
    "\n",
    "ax[0].legend(loc='upper left',bbox_to_anchor=(1.05, 1))\n",
    "ax[1].legend(loc='upper left',bbox_to_anchor=(1.05, 1))\n",
    "ax[2].legend(loc='upper left',bbox_to_anchor=(1.05, 1))\n",
    "ax[3].legend(loc='upper left',bbox_to_anchor=(1.05, 1))\n",
    "ax[0].set_ylabel('Qin / m3s-1')\n",
    "ax[1].set_ylabel('Qout / m3s-1')\n",
    "ax[2].set_ylabel('sin / g/kg')\n",
    "ax[3].set_ylabel('sout / g/kg')\n",
    "\n",
    "ax[2].set_ylim(36, 42)\n",
    "ax[3].set_ylim(36, 42)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Filtering out the semi  diurnal tides, one can more clearly see the signals of larger time scales. Still, there is a period of no outflow, which corresponds to a very large inflow."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}