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      "\n",
      "[2021-06-21_15:21:15]: start //home/wenchang/wython/wystart.py\n",
      "[imported]: os.path, sys, os, datetime, glob\n",
      "[imported]: xarray(0.18.2) as xr, numpy(1.20.3) as np, pandas(1.2.4) as pd, matplotlib(3.4.2) as mpl\n",
      "[imported]: import matplotlib.pyplot as plt\n",
      "\n",
      "**wython plot settings (//home/wenchang/wython/wyconfig.py)**\n",
      "plt.rcParams:\n",
      "    figure.dpi: 128.0\n",
      "    figure.constrained_layout.use: True\n",
      "    axes.spines.right: False\n",
      "    axes.spines.top: False\n",
      "    axes.grid: True\n",
      "    grid.linestyle: --\n",
      "    grid.alpha: 0.5\n",
      "    legend.frameon: False\n",
      "    hatch.color: gray\n",
      "    hatch.linewidth: 0.5\n",
      "[registered colormaps]: tc and tc_r\n",
      "[registered colormaps]: parula and parula_r\n",
      "[imported]: import misc.colormaps\n",
      "[config]: xr.set_options(cmap_sequential=\"parula\")\n",
      "[shortcut functions]:\n",
      "    constrained_layout_on():  plt.rcParams['figure.constrained_layout.use'] = True\n",
      "    constrained_layout_off(): plt.rcParams['figure.constrained_layout.use'] = False\n",
      "[created]: def wysavefig(figname, **kws):\n",
      "[iPython config]: InlineBackend.figure_format ='retina'\n",
      "\n",
      "[imported]: from matplotlib.pyplot import plot, figure, close, show\n",
      "[executed]: plt.ion()\n",
      "\n",
      "[2021-06-21_15:21:21]: **done**; **6** seconds from \"start //home/wenchang/wython/wystart.py\"\n"
     ]
    }
   ],
   "source": [
    "run -im wystart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a9129c6c-8369-4145-90dc-bc0a74730363",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:               (grid_xt_ocean: 360, grid_xu_ocean: 360, grid_yt_ocean: 200, grid_yu_ocean: 200, nv: 2, potrho: 80, potrho_edges: 81, st_edges_ocean: 51, st_ocean: 50, sw_edges_ocean: 51, sw_ocean: 50, time: 12, xt_ocean: 360, xu_ocean: 360, yt_ocean: 200, yu_ocean: 200)\n",
       "Coordinates: (12/20)\n",
       "  * xt_ocean              (xt_ocean) float64 -279.5 -278.5 -277.5 ... 78.5 79.5\n",
       "  * yt_ocean              (yt_ocean) float64 -81.5 -80.5 -79.5 ... 88.5 89.5\n",
       "  * time                  (time) object 1967-01-16 12:00:00 ... 1967-12-16 12...\n",
       "  * nv                    (nv) float64 1.0 2.0\n",
       "  * xu_ocean              (xu_ocean) float64 -279.0 -278.0 -277.0 ... 79.0 80.0\n",
       "  * yu_ocean              (yu_ocean) float64 -81.0 -80.0 -79.0 ... 89.0 90.0\n",
       "    ...                    ...\n",
       "  * grid_xt_ocean         (grid_xt_ocean) float64 -279.5 -278.5 ... 78.5 79.5\n",
       "  * grid_yu_ocean         (grid_yu_ocean) float64 -81.0 -80.0 ... 89.0 90.0\n",
       "    geolon_t              (yt_ocean, xt_ocean) float32 -279.5 -278.5 ... 79.98\n",
       "    geolat_t              (yt_ocean, xt_ocean) float32 -81.5 -81.5 ... 65.21\n",
       "    geolon_c              (yu_ocean, xu_ocean) float32 -279.0 -278.0 ... 80.0\n",
       "    geolat_c              (yu_ocean, xu_ocean) float32 -81.0 -81.0 ... 65.0\n",
       "Data variables: (12/43)\n",
       "    temp                  (time, st_ocean, yt_ocean, xt_ocean) float32 ...\n",
       "    salt                  (time, st_ocean, yt_ocean, xt_ocean) float32 ...\n",
       "    age_global            (time, st_ocean, yt_ocean, xt_ocean) float32 ...\n",
       "    u                     (time, st_ocean, yu_ocean, xu_ocean) float32 ...\n",
       "    v                     (time, st_ocean, yu_ocean, xu_ocean) float32 ...\n",
       "    eta_t                 (time, yt_ocean, xt_ocean) float32 ...\n",
       "    ...                    ...\n",
       "    psiv                  (time, yu_ocean, xt_ocean) float32 ...\n",
       "    diff_cbt_t            (time, st_ocean, yt_ocean, xt_ocean) float32 ...\n",
       "    average_T1            (time) datetime64[ns] 1965-09-10 ... 1966-08-10\n",
       "    average_T2            (time) datetime64[ns] 1965-10-11 ... 1966-09-10\n",
       "    average_DT            (time) timedelta64[ns] 31 days 28 days ... 31 days\n",
       "    time_bounds           (time, nv) timedelta64[ns] 77078 days 01:16:18.8713...\n",
       "Attributes:\n",
       "    filename:   ocean.nc\n",
       "    title:      CM2.5_A_Control-1990_FLOR_B01\n",
       "    grid_type:  mosaic\n",
       "    grid_tile:  1</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f9186a27-b0f8-4e19-9a68-0ddfcf42acee' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f9186a27-b0f8-4e19-9a68-0ddfcf42acee' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>grid_xt_ocean</span>: 360</li><li><span class='xr-has-index'>grid_xu_ocean</span>: 360</li><li><span class='xr-has-index'>grid_yt_ocean</span>: 200</li><li><span class='xr-has-index'>grid_yu_ocean</span>: 200</li><li><span class='xr-has-index'>nv</span>: 2</li><li><span class='xr-has-index'>potrho</span>: 80</li><li><span class='xr-has-index'>potrho_edges</span>: 81</li><li><span class='xr-has-index'>st_edges_ocean</span>: 51</li><li><span class='xr-has-index'>st_ocean</span>: 50</li><li><span class='xr-has-index'>sw_edges_ocean</span>: 51</li><li><span class='xr-has-index'>sw_ocean</span>: 50</li><li><span class='xr-has-index'>time</span>: 12</li><li><span class='xr-has-index'>xt_ocean</span>: 360</li><li><span class='xr-has-index'>xu_ocean</span>: 360</li><li><span class='xr-has-index'>yt_ocean</span>: 200</li><li><span class='xr-has-index'>yu_ocean</span>: 200</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b7b6b8d4-8699-49e2-995f-ce9795db8ea1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b7b6b8d4-8699-49e2-995f-ce9795db8ea1' class='xr-section-summary' >Coordinates: <span>(20)</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'>xt_ocean</span></div><div class='xr-var-dims'>(xt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-279.5 -278.5 -277.5 ... 78.5 79.5</div><input id='attrs-a833dd73-2e5c-4e5a-8b20-be63a14d1517' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a833dd73-2e5c-4e5a-8b20-be63a14d1517' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-998c8e69-8c91-4084-babf-d921fac82927' class='xr-var-data-in' type='checkbox'><label for='data-998c8e69-8c91-4084-babf-d921fac82927' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell longitude</dd><dt><span>units :</span></dt><dd>degrees_E</dd><dt><span>cartesian_axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-279.5, -278.5, -277.5, ...,   77.5,   78.5,   79.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yt_ocean</span></div><div class='xr-var-dims'>(yt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-81.5 -80.5 -79.5 ... 88.5 89.5</div><input id='attrs-86ffdaa3-0d69-46e5-81fd-21066cba16f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86ffdaa3-0d69-46e5-81fd-21066cba16f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82f344f3-a396-44fe-87f3-1079ca5240e0' class='xr-var-data-in' type='checkbox'><label for='data-82f344f3-a396-44fe-87f3-1079ca5240e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell latitude</dd><dt><span>units :</span></dt><dd>degrees_N</dd><dt><span>cartesian_axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-81.5     , -80.5     , -79.5     , -78.5     , -77.5     , -76.5     ,\n",
       "       -75.5     , -74.5     , -73.5     , -72.5     , -71.5     , -70.5     ,\n",
       "       -69.5     , -68.5     , -67.5     , -66.5     , -65.5     , -64.5     ,\n",
       "       -63.5     , -62.5     , -61.5     , -60.5     , -59.5     , -58.5     ,\n",
       "       -57.5     , -56.5     , -55.5     , -54.5     , -53.5     , -52.5     ,\n",
       "       -51.5     , -50.5     , -49.5     , -48.5     , -47.5     , -46.5     ,\n",
       "       -45.5     , -44.5     , -43.5     , -42.5     , -41.5     , -40.5     ,\n",
       "       -39.5     , -38.5     , -37.5     , -36.5     , -35.5     , -34.5     ,\n",
       "       -33.5     , -32.5     , -31.5     , -30.5     , -29.5     , -28.501426,\n",
       "       -27.507105, -26.519792, -25.542121, -24.576562, -23.625377, -22.690584,\n",
       "       -21.773917, -20.876803, -20.000333, -19.145246, -18.311912, -17.500333,\n",
       "       -16.710136, -15.940584, -15.190584, -14.458711, -13.743228, -13.04212 ,\n",
       "       -12.353125, -11.673771, -11.001426, -10.333333,  -9.666666,  -9.002051,\n",
       "        -8.343542,  -7.695041,  -7.060205,  -6.442354,  -5.844389,  -5.268724,\n",
       "        -4.717221,  -4.191149,  -3.691149,  -3.217221,  -2.768724,  -2.344389,\n",
       "        -1.942354,  -1.560205,  -1.195041,  -0.843542,  -0.502051,  -0.166666,\n",
       "         0.166667,   0.502052,   0.843543,   1.195042,   1.560206,   1.942354,\n",
       "         2.34439 ,   2.768725,   3.217222,   3.69115 ,   4.19115 ,   4.717222,\n",
       "         5.268725,   5.84439 ,   6.442354,   7.060206,   7.695042,   8.343543,\n",
       "         9.002052,   9.666667,  10.333334,  11.001426,  11.673772,  12.353125,\n",
       "        13.042121,  13.743229,  14.458711,  15.190584,  15.940584,  16.710137,\n",
       "        17.500334,  18.311913,  19.145246,  20.000334,  20.876804,  21.773918,\n",
       "        22.690585,  23.625378,  24.576563,  25.542122,  26.519792,  27.507106,\n",
       "        28.501427,  29.500001,  30.500001,  31.500001,  32.500001,  33.500001,\n",
       "        34.500001,  35.500001,  36.500001,  37.500001,  38.500001,  39.500001,\n",
       "        40.500001,  41.500001,  42.500001,  43.500001,  44.500001,  45.500001,\n",
       "        46.500001,  47.500001,  48.500001,  49.500001,  50.500001,  51.500001,\n",
       "        52.500001,  53.500001,  54.500001,  55.500001,  56.500001,  57.500001,\n",
       "        58.500001,  59.500001,  60.500001,  61.500001,  62.500001,  63.500001,\n",
       "        64.500001,  65.500001,  66.500001,  67.500001,  68.500001,  69.500001,\n",
       "        70.500001,  71.500001,  72.500001,  73.500001,  74.500001,  75.500001,\n",
       "        76.500001,  77.500001,  78.500001,  79.500001,  80.500001,  81.500001,\n",
       "        82.500001,  83.500001,  84.500001,  85.500001,  86.500001,  87.500001,\n",
       "        88.500001,  89.500001])</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'>object</div><div class='xr-var-preview xr-preview'>1967-01-16 12:00:00 ... 1967-12-...</div><input id='attrs-1f826a5d-ccdf-4d9b-b548-79561c53b809' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f826a5d-ccdf-4d9b-b548-79561c53b809' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11ec3aa5-3786-407f-b6c7-a32c4eb91da9' class='xr-var-data-in' type='checkbox'><label for='data-11ec3aa5-3786-407f-b6c7-a32c4eb91da9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>cartesian_axis :</span></dt><dd>T</dd><dt><span>calendar_type :</span></dt><dd>NOLEAP</dd><dt><span>bounds :</span></dt><dd>time_bounds</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1967, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1967, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1967, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1967, 4, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1967, 5, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1967, 6, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1967, 7, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1967, 8, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1967, 9, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1967, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1967, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1967, 12, 16, 12, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>nv</span></div><div class='xr-var-dims'>(nv)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0</div><input id='attrs-86f06fdb-0b4e-4629-ab76-c66294f95807' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86f06fdb-0b4e-4629-ab76-c66294f95807' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb8605b8-c3a6-40fb-acf1-8110743bd0e4' class='xr-var-data-in' type='checkbox'><label for='data-fb8605b8-c3a6-40fb-acf1-8110743bd0e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertex number</dd><dt><span>units :</span></dt><dd>none</dd><dt><span>cartesian_axis :</span></dt><dd>N</dd></dl></div><div class='xr-var-data'><pre>array([1., 2.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xu_ocean</span></div><div class='xr-var-dims'>(xu_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-279.0 -278.0 -277.0 ... 79.0 80.0</div><input id='attrs-2707400f-a932-4e77-8fef-527d64b370c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2707400f-a932-4e77-8fef-527d64b370c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d50b045-7d8f-464c-a608-02c41b3795ec' class='xr-var-data-in' type='checkbox'><label for='data-7d50b045-7d8f-464c-a608-02c41b3795ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ucell longitude</dd><dt><span>units :</span></dt><dd>degrees_E</dd><dt><span>cartesian_axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-279., -278., -277., ...,   78.,   79.,   80.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yu_ocean</span></div><div class='xr-var-dims'>(yu_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-81.0 -80.0 -79.0 ... 89.0 90.0</div><input id='attrs-01cf6def-d803-4f48-9176-b108a58d5433' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01cf6def-d803-4f48-9176-b108a58d5433' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6608fde-c322-4a9b-b311-ed675a15dc08' class='xr-var-data-in' type='checkbox'><label for='data-d6608fde-c322-4a9b-b311-ed675a15dc08' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ucell latitude</dd><dt><span>units :</span></dt><dd>degrees_N</dd><dt><span>cartesian_axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-8.100000e+01, -8.000000e+01, -7.900000e+01, -7.800000e+01,\n",
       "       -7.700000e+01, -7.600000e+01, -7.500000e+01, -7.400000e+01,\n",
       "       -7.300000e+01, -7.200000e+01, -7.100000e+01, -7.000000e+01,\n",
       "       -6.900000e+01, -6.800000e+01, -6.700000e+01, -6.600000e+01,\n",
       "       -6.500000e+01, -6.400000e+01, -6.300000e+01, -6.200000e+01,\n",
       "       -6.100000e+01, -6.000000e+01, -5.900000e+01, -5.800000e+01,\n",
       "       -5.700000e+01, -5.600000e+01, -5.500000e+01, -5.400000e+01,\n",
       "       -5.300000e+01, -5.200000e+01, -5.100000e+01, -5.000000e+01,\n",
       "       -4.900000e+01, -4.800000e+01, -4.700000e+01, -4.600000e+01,\n",
       "       -4.500000e+01, -4.400000e+01, -4.300000e+01, -4.200000e+01,\n",
       "       -4.100000e+01, -4.000000e+01, -3.900000e+01, -3.800000e+01,\n",
       "       -3.700000e+01, -3.600000e+01, -3.500000e+01, -3.400000e+01,\n",
       "       -3.300000e+01, -3.200000e+01, -3.100000e+01, -3.000000e+01,\n",
       "       -2.900071e+01, -2.800427e+01, -2.701345e+01, -2.603096e+01,\n",
       "       -2.505934e+01, -2.410097e+01, -2.315798e+01, -2.223225e+01,\n",
       "       -2.132536e+01, -2.043857e+01, -1.957279e+01, -1.872858e+01,\n",
       "       -1.790612e+01, -1.710523e+01, -1.632536e+01, -1.556558e+01,\n",
       "       -1.482465e+01, -1.410097e+01, -1.339267e+01, -1.269762e+01,\n",
       "       -1.201345e+01, -1.133760e+01, -1.066738e+01, -1.000000e+01,\n",
       "       -9.334359e+00, -8.672797e+00, -8.019291e+00, -7.377623e+00,\n",
       "       -6.751279e+00, -6.143371e+00, -5.556557e+00, -4.992973e+00,\n",
       "       -4.454185e+00, -3.941149e+00, -3.454185e+00, -2.992973e+00,\n",
       "       -2.556557e+00, -2.143371e+00, -1.751279e+00, -1.377623e+00,\n",
       "       -1.019291e+00, -6.727968e-01, -3.343589e-01,  4.000000e-07,\n",
       "        3.343597e-01,  6.727976e-01,  1.019292e+00,  1.377624e+00,\n",
       "        1.751280e+00,  2.143372e+00,  2.556558e+00,  2.992974e+00,\n",
       "        3.454186e+00,  3.941150e+00,  4.454186e+00,  4.992974e+00,\n",
       "        5.556558e+00,  6.143372e+00,  6.751280e+00,  7.377624e+00,\n",
       "        8.019292e+00,  8.672798e+00,  9.334360e+00,  1.000000e+01,\n",
       "        1.066738e+01,  1.133760e+01,  1.201345e+01,  1.269762e+01,\n",
       "        1.339268e+01,  1.410097e+01,  1.482465e+01,  1.556558e+01,\n",
       "        1.632536e+01,  1.710524e+01,  1.790612e+01,  1.872858e+01,\n",
       "        1.957279e+01,  2.043857e+01,  2.132536e+01,  2.223225e+01,\n",
       "        2.315798e+01,  2.410097e+01,  2.505934e+01,  2.603096e+01,\n",
       "        2.701345e+01,  2.800427e+01,  2.900071e+01,  3.000000e+01,\n",
       "        3.100000e+01,  3.200000e+01,  3.300000e+01,  3.400000e+01,\n",
       "        3.500000e+01,  3.600000e+01,  3.700000e+01,  3.800000e+01,\n",
       "        3.900000e+01,  4.000000e+01,  4.100000e+01,  4.200000e+01,\n",
       "        4.300000e+01,  4.400000e+01,  4.500000e+01,  4.600000e+01,\n",
       "        4.700000e+01,  4.800000e+01,  4.900000e+01,  5.000000e+01,\n",
       "        5.100000e+01,  5.200000e+01,  5.300000e+01,  5.400000e+01,\n",
       "        5.500000e+01,  5.600000e+01,  5.700000e+01,  5.800000e+01,\n",
       "        5.900000e+01,  6.000000e+01,  6.100000e+01,  6.200000e+01,\n",
       "        6.300000e+01,  6.400000e+01,  6.500000e+01,  6.600000e+01,\n",
       "        6.700000e+01,  6.800000e+01,  6.900000e+01,  7.000000e+01,\n",
       "        7.100000e+01,  7.200000e+01,  7.300000e+01,  7.400000e+01,\n",
       "        7.500000e+01,  7.600000e+01,  7.700000e+01,  7.800000e+01,\n",
       "        7.900000e+01,  8.000000e+01,  8.100000e+01,  8.200000e+01,\n",
       "        8.300000e+01,  8.400000e+01,  8.500000e+01,  8.600000e+01,\n",
       "        8.700000e+01,  8.800000e+01,  8.900000e+01,  9.000000e+01])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>st_ocean</span></div><div class='xr-var-dims'>(st_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 ... 4.95e+03 5.316e+03</div><input id='attrs-8cee3779-0574-4c8b-8e61-30344038905b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8cee3779-0574-4c8b-8e61-30344038905b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbcbc221-06e2-46b9-98e6-b143df6dafdc' class='xr-var-data-in' type='checkbox'><label for='data-dbcbc221-06e2-46b9-98e6-b143df6dafdc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell zstar depth</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>cartesian_axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>edges :</span></dt><dd>st_edges_ocean</dd></dl></div><div class='xr-var-data'><pre>array([5.000000e+00, 1.500000e+01, 2.500000e+01, 3.500000e+01, 4.500000e+01,\n",
       "       5.500000e+01, 6.500000e+01, 7.500000e+01, 8.500000e+01, 9.500000e+01,\n",
       "       1.050000e+02, 1.150000e+02, 1.250000e+02, 1.350000e+02, 1.450000e+02,\n",
       "       1.550000e+02, 1.650000e+02, 1.750000e+02, 1.850000e+02, 1.950000e+02,\n",
       "       2.050000e+02, 2.150000e+02, 2.250000e+02, 2.361228e+02, 2.506000e+02,\n",
       "       2.706208e+02, 2.983049e+02, 3.356756e+02, 3.846343e+02, 4.469366e+02,\n",
       "       5.241706e+02, 6.177363e+02, 7.288285e+02, 8.584215e+02, 1.007257e+03,\n",
       "       1.175835e+03, 1.364406e+03, 1.572971e+03, 1.801279e+03, 2.048829e+03,\n",
       "       2.314879e+03, 2.598456e+03, 2.898365e+03, 3.213206e+03, 3.541390e+03,\n",
       "       3.881162e+03, 4.230621e+03, 4.587743e+03, 4.950409e+03, 5.316429e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>st_edges_ocean</span></div><div class='xr-var-dims'>(st_edges_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 20.0 ... 5.133e+03 5.5e+03</div><input id='attrs-524099d1-feca-4fed-bd15-4010c008dba8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-524099d1-feca-4fed-bd15-4010c008dba8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2eaae113-297a-4016-83f2-df73bbe2ae5a' class='xr-var-data-in' type='checkbox'><label for='data-2eaae113-297a-4016-83f2-df73bbe2ae5a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell zstar depth edges</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>cartesian_axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd></dl></div><div class='xr-var-data'><pre>array([   0.      ,   10.      ,   20.      ,   30.      ,   40.      ,\n",
       "         50.      ,   60.      ,   70.      ,   80.      ,   90.      ,\n",
       "        100.      ,  110.      ,  120.      ,  130.      ,  140.      ,\n",
       "        150.      ,  160.      ,  170.      ,  180.      ,  190.      ,\n",
       "        200.      ,  210.      ,  220.      ,  230.561417,  243.361404,\n",
       "        260.610382,  284.462891,  316.990295,  360.154968,  415.785461,\n",
       "        485.553619,  570.953491,  673.28241 ,  793.625   ,  932.839294,\n",
       "       1091.546021, 1270.120605, 1468.688843, 1687.125   , 1925.053589,\n",
       "       2181.85376 , 2456.667725, 2748.410889, 3055.7854  , 3377.297852,\n",
       "       3711.276123, 4055.891357, 4409.181641, 4769.075684, 5133.418457,\n",
       "       5500.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>sw_ocean</span></div><div class='xr-var-dims'>(sw_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0 20.0 ... 5.133e+03 5.5e+03</div><input id='attrs-23f742a3-9300-42da-a79e-7176139b22c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23f742a3-9300-42da-a79e-7176139b22c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-729d2013-e095-429e-b97c-bf87dc1e8ff4' class='xr-var-data-in' type='checkbox'><label for='data-729d2013-e095-429e-b97c-bf87dc1e8ff4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ucell zstar depth</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>cartesian_axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>edges :</span></dt><dd>sw_edges_ocean</dd></dl></div><div class='xr-var-data'><pre>array([  10.      ,   20.      ,   30.      ,   40.      ,   50.      ,\n",
       "         60.      ,   70.      ,   80.      ,   90.      ,  100.      ,\n",
       "        110.      ,  120.      ,  130.      ,  140.      ,  150.      ,\n",
       "        160.      ,  170.      ,  180.      ,  190.      ,  200.      ,\n",
       "        210.      ,  220.      ,  230.561417,  243.361404,  260.610382,\n",
       "        284.462891,  316.990295,  360.154968,  415.785461,  485.553619,\n",
       "        570.953491,  673.28241 ,  793.625   ,  932.839294, 1091.546021,\n",
       "       1270.120605, 1468.688843, 1687.125   , 1925.053589, 2181.85376 ,\n",
       "       2456.667725, 2748.410889, 3055.7854  , 3377.297852, 3711.276123,\n",
       "       4055.891357, 4409.181641, 4769.075684, 5133.418457, 5500.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>sw_edges_ocean</span></div><div class='xr-var-dims'>(sw_edges_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 5.316e+03 5.5e+03</div><input id='attrs-55ce0ad9-451d-44f3-b666-4c88d337cdd6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-55ce0ad9-451d-44f3-b666-4c88d337cdd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9c80ab4-e999-47c2-8ef3-9cdb16f15a1d' class='xr-var-data-in' type='checkbox'><label for='data-c9c80ab4-e999-47c2-8ef3-9cdb16f15a1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ucell zstar depth edges</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>cartesian_axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd></dl></div><div class='xr-var-data'><pre>array([5.000000e+00, 1.500000e+01, 2.500000e+01, 3.500000e+01, 4.500000e+01,\n",
       "       5.500000e+01, 6.500000e+01, 7.500000e+01, 8.500000e+01, 9.500000e+01,\n",
       "       1.050000e+02, 1.150000e+02, 1.250000e+02, 1.350000e+02, 1.450000e+02,\n",
       "       1.550000e+02, 1.650000e+02, 1.750000e+02, 1.850000e+02, 1.950000e+02,\n",
       "       2.050000e+02, 2.150000e+02, 2.250000e+02, 2.361228e+02, 2.506000e+02,\n",
       "       2.706208e+02, 2.983049e+02, 3.356756e+02, 3.846343e+02, 4.469366e+02,\n",
       "       5.241706e+02, 6.177363e+02, 7.288285e+02, 8.584215e+02, 1.007257e+03,\n",
       "       1.175835e+03, 1.364406e+03, 1.572971e+03, 1.801279e+03, 2.048829e+03,\n",
       "       2.314879e+03, 2.598456e+03, 2.898365e+03, 3.213206e+03, 3.541390e+03,\n",
       "       3.881162e+03, 4.230621e+03, 4.587743e+03, 4.950409e+03, 5.316429e+03,\n",
       "       5.500000e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>grid_xu_ocean</span></div><div class='xr-var-dims'>(grid_xu_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-279.0 -278.0 -277.0 ... 79.0 80.0</div><input id='attrs-31c6a5f1-9d89-4032-8209-32f66b8ea4c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31c6a5f1-9d89-4032-8209-32f66b8ea4c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f71694a-3e5d-4ba8-a2aa-5d61d481dba5' class='xr-var-data-in' type='checkbox'><label for='data-9f71694a-3e5d-4ba8-a2aa-5d61d481dba5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ucell longitude</dd><dt><span>units :</span></dt><dd>degrees_E</dd><dt><span>cartesian_axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-279., -278., -277., ...,   78.,   79.,   80.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>grid_yt_ocean</span></div><div class='xr-var-dims'>(grid_yt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-81.5 -80.5 -79.5 ... 88.5 89.5</div><input id='attrs-de6c6803-09a2-4f38-9f7b-78a0b243b4b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de6c6803-09a2-4f38-9f7b-78a0b243b4b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04cf432a-413a-4945-a09b-e8f9376e67d6' class='xr-var-data-in' type='checkbox'><label for='data-04cf432a-413a-4945-a09b-e8f9376e67d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell latitude</dd><dt><span>units :</span></dt><dd>degrees_N</dd><dt><span>cartesian_axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-81.5     , -80.5     , -79.5     , -78.5     , -77.5     , -76.5     ,\n",
       "       -75.5     , -74.5     , -73.5     , -72.5     , -71.5     , -70.5     ,\n",
       "       -69.5     , -68.5     , -67.5     , -66.5     , -65.5     , -64.5     ,\n",
       "       -63.5     , -62.5     , -61.5     , -60.5     , -59.5     , -58.5     ,\n",
       "       -57.5     , -56.5     , -55.5     , -54.5     , -53.5     , -52.5     ,\n",
       "       -51.5     , -50.5     , -49.5     , -48.5     , -47.5     , -46.5     ,\n",
       "       -45.5     , -44.5     , -43.5     , -42.5     , -41.5     , -40.5     ,\n",
       "       -39.5     , -38.5     , -37.5     , -36.5     , -35.5     , -34.5     ,\n",
       "       -33.5     , -32.5     , -31.5     , -30.5     , -29.5     , -28.501426,\n",
       "       -27.507105, -26.519792, -25.542121, -24.576562, -23.625377, -22.690584,\n",
       "       -21.773917, -20.876803, -20.000333, -19.145246, -18.311912, -17.500333,\n",
       "       -16.710136, -15.940584, -15.190584, -14.458711, -13.743228, -13.04212 ,\n",
       "       -12.353125, -11.673771, -11.001426, -10.333333,  -9.666666,  -9.002051,\n",
       "        -8.343542,  -7.695041,  -7.060205,  -6.442354,  -5.844389,  -5.268724,\n",
       "        -4.717221,  -4.191149,  -3.691149,  -3.217221,  -2.768724,  -2.344389,\n",
       "        -1.942354,  -1.560205,  -1.195041,  -0.843542,  -0.502051,  -0.166666,\n",
       "         0.166667,   0.502052,   0.843543,   1.195042,   1.560206,   1.942354,\n",
       "         2.34439 ,   2.768725,   3.217222,   3.69115 ,   4.19115 ,   4.717222,\n",
       "         5.268725,   5.84439 ,   6.442354,   7.060206,   7.695042,   8.343543,\n",
       "         9.002052,   9.666667,  10.333334,  11.001426,  11.673772,  12.353125,\n",
       "        13.042121,  13.743229,  14.458711,  15.190584,  15.940584,  16.710137,\n",
       "        17.500334,  18.311913,  19.145246,  20.000334,  20.876804,  21.773918,\n",
       "        22.690585,  23.625378,  24.576563,  25.542122,  26.519792,  27.507106,\n",
       "        28.501427,  29.500001,  30.500001,  31.500001,  32.500001,  33.500001,\n",
       "        34.500001,  35.500001,  36.500001,  37.500001,  38.500001,  39.500001,\n",
       "        40.500001,  41.500001,  42.500001,  43.500001,  44.500001,  45.500001,\n",
       "        46.500001,  47.500001,  48.500001,  49.500001,  50.500001,  51.500001,\n",
       "        52.500001,  53.500001,  54.500001,  55.500001,  56.500001,  57.500001,\n",
       "        58.500001,  59.500001,  60.500001,  61.500001,  62.500001,  63.500001,\n",
       "        64.500001,  65.500001,  66.500001,  67.500001,  68.500001,  69.500001,\n",
       "        70.500001,  71.500001,  72.500001,  73.500001,  74.500001,  75.500001,\n",
       "        76.500001,  77.500001,  78.500001,  79.500001,  80.500001,  81.500001,\n",
       "        82.500001,  83.500001,  84.500001,  85.500001,  86.500001,  87.500001,\n",
       "        88.500001,  89.500001])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>potrho</span></div><div class='xr-var-dims'>(potrho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.028e+03 1.028e+03 ... 1.038e+03</div><input id='attrs-a7fd1ccf-2175-4a4f-a91a-c063ea37bb4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7fd1ccf-2175-4a4f-a91a-c063ea37bb4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-724f826e-dbcd-483e-a5ce-076043d0d7fb' class='xr-var-data-in' type='checkbox'><label for='data-724f826e-dbcd-483e-a5ce-076043d0d7fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>potential density</dd><dt><span>units :</span></dt><dd>kg/m^3</dd><dt><span>cartesian_axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>edges :</span></dt><dd>potrho_edges</dd></dl></div><div class='xr-var-data'><pre>array([1028.0625, 1028.1875, 1028.3125, 1028.4375, 1028.5625, 1028.6875,\n",
       "       1028.8125, 1028.9375, 1029.0625, 1029.1875, 1029.3125, 1029.4375,\n",
       "       1029.5625, 1029.6875, 1029.8125, 1029.9375, 1030.0625, 1030.1875,\n",
       "       1030.3125, 1030.4375, 1030.5625, 1030.6875, 1030.8125, 1030.9375,\n",
       "       1031.0625, 1031.1875, 1031.3125, 1031.4375, 1031.5625, 1031.6875,\n",
       "       1031.8125, 1031.9375, 1032.0625, 1032.1875, 1032.3125, 1032.4375,\n",
       "       1032.5625, 1032.6875, 1032.8125, 1032.9375, 1033.0625, 1033.1875,\n",
       "       1033.3125, 1033.4375, 1033.5625, 1033.6875, 1033.8125, 1033.9375,\n",
       "       1034.0625, 1034.1875, 1034.3125, 1034.4375, 1034.5625, 1034.6875,\n",
       "       1034.8125, 1034.9375, 1035.0625, 1035.1875, 1035.3125, 1035.4375,\n",
       "       1035.5625, 1035.6875, 1035.8125, 1035.9375, 1036.0625, 1036.1875,\n",
       "       1036.3125, 1036.4375, 1036.5625, 1036.6875, 1036.8125, 1036.9375,\n",
       "       1037.0625, 1037.1875, 1037.3125, 1037.4375, 1037.5625, 1037.6875,\n",
       "       1037.8125, 1037.9375])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>potrho_edges</span></div><div class='xr-var-dims'>(potrho_edges)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.028e+03 1.028e+03 ... 1.038e+03</div><input id='attrs-1beb3038-ce2c-49a4-b8fd-35e9a6237c49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1beb3038-ce2c-49a4-b8fd-35e9a6237c49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-144fa1c4-d3d6-4abf-8622-2f873c67b1ef' class='xr-var-data-in' type='checkbox'><label for='data-144fa1c4-d3d6-4abf-8622-2f873c67b1ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>potential density edges</dd><dt><span>units :</span></dt><dd>kg/m^3</dd><dt><span>cartesian_axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd></dl></div><div class='xr-var-data'><pre>array([1028.   , 1028.125, 1028.25 , 1028.375, 1028.5  , 1028.625, 1028.75 ,\n",
       "       1028.875, 1029.   , 1029.125, 1029.25 , 1029.375, 1029.5  , 1029.625,\n",
       "       1029.75 , 1029.875, 1030.   , 1030.125, 1030.25 , 1030.375, 1030.5  ,\n",
       "       1030.625, 1030.75 , 1030.875, 1031.   , 1031.125, 1031.25 , 1031.375,\n",
       "       1031.5  , 1031.625, 1031.75 , 1031.875, 1032.   , 1032.125, 1032.25 ,\n",
       "       1032.375, 1032.5  , 1032.625, 1032.75 , 1032.875, 1033.   , 1033.125,\n",
       "       1033.25 , 1033.375, 1033.5  , 1033.625, 1033.75 , 1033.875, 1034.   ,\n",
       "       1034.125, 1034.25 , 1034.375, 1034.5  , 1034.625, 1034.75 , 1034.875,\n",
       "       1035.   , 1035.125, 1035.25 , 1035.375, 1035.5  , 1035.625, 1035.75 ,\n",
       "       1035.875, 1036.   , 1036.125, 1036.25 , 1036.375, 1036.5  , 1036.625,\n",
       "       1036.75 , 1036.875, 1037.   , 1037.125, 1037.25 , 1037.375, 1037.5  ,\n",
       "       1037.625, 1037.75 , 1037.875, 1038.   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>grid_xt_ocean</span></div><div class='xr-var-dims'>(grid_xt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-279.5 -278.5 -277.5 ... 78.5 79.5</div><input id='attrs-408dcd9d-4e4b-4879-a95b-b69b852c41f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-408dcd9d-4e4b-4879-a95b-b69b852c41f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3801bfb3-2a9c-480d-a61c-4dd2a1f5ddb4' class='xr-var-data-in' type='checkbox'><label for='data-3801bfb3-2a9c-480d-a61c-4dd2a1f5ddb4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell longitude</dd><dt><span>units :</span></dt><dd>degrees_E</dd><dt><span>cartesian_axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-279.5, -278.5, -277.5, ...,   77.5,   78.5,   79.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>grid_yu_ocean</span></div><div class='xr-var-dims'>(grid_yu_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-81.0 -80.0 -79.0 ... 89.0 90.0</div><input id='attrs-5b18d279-52bb-4fa3-b7a5-2d00e25d39f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b18d279-52bb-4fa3-b7a5-2d00e25d39f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28cf4735-65f1-4057-95d8-110558860c79' class='xr-var-data-in' type='checkbox'><label for='data-28cf4735-65f1-4057-95d8-110558860c79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ucell latitude</dd><dt><span>units :</span></dt><dd>degrees_N</dd><dt><span>cartesian_axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-8.100000e+01, -8.000000e+01, -7.900000e+01, -7.800000e+01,\n",
       "       -7.700000e+01, -7.600000e+01, -7.500000e+01, -7.400000e+01,\n",
       "       -7.300000e+01, -7.200000e+01, -7.100000e+01, -7.000000e+01,\n",
       "       -6.900000e+01, -6.800000e+01, -6.700000e+01, -6.600000e+01,\n",
       "       -6.500000e+01, -6.400000e+01, -6.300000e+01, -6.200000e+01,\n",
       "       -6.100000e+01, -6.000000e+01, -5.900000e+01, -5.800000e+01,\n",
       "       -5.700000e+01, -5.600000e+01, -5.500000e+01, -5.400000e+01,\n",
       "       -5.300000e+01, -5.200000e+01, -5.100000e+01, -5.000000e+01,\n",
       "       -4.900000e+01, -4.800000e+01, -4.700000e+01, -4.600000e+01,\n",
       "       -4.500000e+01, -4.400000e+01, -4.300000e+01, -4.200000e+01,\n",
       "       -4.100000e+01, -4.000000e+01, -3.900000e+01, -3.800000e+01,\n",
       "       -3.700000e+01, -3.600000e+01, -3.500000e+01, -3.400000e+01,\n",
       "       -3.300000e+01, -3.200000e+01, -3.100000e+01, -3.000000e+01,\n",
       "       -2.900071e+01, -2.800427e+01, -2.701345e+01, -2.603096e+01,\n",
       "       -2.505934e+01, -2.410097e+01, -2.315798e+01, -2.223225e+01,\n",
       "       -2.132536e+01, -2.043857e+01, -1.957279e+01, -1.872858e+01,\n",
       "       -1.790612e+01, -1.710523e+01, -1.632536e+01, -1.556558e+01,\n",
       "       -1.482465e+01, -1.410097e+01, -1.339267e+01, -1.269762e+01,\n",
       "       -1.201345e+01, -1.133760e+01, -1.066738e+01, -1.000000e+01,\n",
       "       -9.334359e+00, -8.672797e+00, -8.019291e+00, -7.377623e+00,\n",
       "       -6.751279e+00, -6.143371e+00, -5.556557e+00, -4.992973e+00,\n",
       "       -4.454185e+00, -3.941149e+00, -3.454185e+00, -2.992973e+00,\n",
       "       -2.556557e+00, -2.143371e+00, -1.751279e+00, -1.377623e+00,\n",
       "       -1.019291e+00, -6.727968e-01, -3.343589e-01,  4.000000e-07,\n",
       "        3.343597e-01,  6.727976e-01,  1.019292e+00,  1.377624e+00,\n",
       "        1.751280e+00,  2.143372e+00,  2.556558e+00,  2.992974e+00,\n",
       "        3.454186e+00,  3.941150e+00,  4.454186e+00,  4.992974e+00,\n",
       "        5.556558e+00,  6.143372e+00,  6.751280e+00,  7.377624e+00,\n",
       "        8.019292e+00,  8.672798e+00,  9.334360e+00,  1.000000e+01,\n",
       "        1.066738e+01,  1.133760e+01,  1.201345e+01,  1.269762e+01,\n",
       "        1.339268e+01,  1.410097e+01,  1.482465e+01,  1.556558e+01,\n",
       "        1.632536e+01,  1.710524e+01,  1.790612e+01,  1.872858e+01,\n",
       "        1.957279e+01,  2.043857e+01,  2.132536e+01,  2.223225e+01,\n",
       "        2.315798e+01,  2.410097e+01,  2.505934e+01,  2.603096e+01,\n",
       "        2.701345e+01,  2.800427e+01,  2.900071e+01,  3.000000e+01,\n",
       "        3.100000e+01,  3.200000e+01,  3.300000e+01,  3.400000e+01,\n",
       "        3.500000e+01,  3.600000e+01,  3.700000e+01,  3.800000e+01,\n",
       "        3.900000e+01,  4.000000e+01,  4.100000e+01,  4.200000e+01,\n",
       "        4.300000e+01,  4.400000e+01,  4.500000e+01,  4.600000e+01,\n",
       "        4.700000e+01,  4.800000e+01,  4.900000e+01,  5.000000e+01,\n",
       "        5.100000e+01,  5.200000e+01,  5.300000e+01,  5.400000e+01,\n",
       "        5.500000e+01,  5.600000e+01,  5.700000e+01,  5.800000e+01,\n",
       "        5.900000e+01,  6.000000e+01,  6.100000e+01,  6.200000e+01,\n",
       "        6.300000e+01,  6.400000e+01,  6.500000e+01,  6.600000e+01,\n",
       "        6.700000e+01,  6.800000e+01,  6.900000e+01,  7.000000e+01,\n",
       "        7.100000e+01,  7.200000e+01,  7.300000e+01,  7.400000e+01,\n",
       "        7.500000e+01,  7.600000e+01,  7.700000e+01,  7.800000e+01,\n",
       "        7.900000e+01,  8.000000e+01,  8.100000e+01,  8.200000e+01,\n",
       "        8.300000e+01,  8.400000e+01,  8.500000e+01,  8.600000e+01,\n",
       "        8.700000e+01,  8.800000e+01,  8.900000e+01,  9.000000e+01])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geolon_t</span></div><div class='xr-var-dims'>(yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2d20c4dc-c0ed-4ea9-9072-139f1806ad17' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d20c4dc-c0ed-4ea9-9072-139f1806ad17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0f2893f-8cc4-43e5-946c-2d20a8c5c7de' class='xr-var-data-in' type='checkbox'><label for='data-d0f2893f-8cc4-43e5-946c-2d20a8c5c7de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tracer longitude</dd><dt><span>units :</span></dt><dd>degrees_E</dd><dt><span>valid_range :</span></dt><dd>[-281.  361.]</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd></dl></div><div class='xr-var-data'><pre>array([[-279.5     , -278.5     , -277.5     , ...,   77.5     ,   78.5     ,\n",
       "          79.5     ],\n",
       "       [-279.5     , -278.5     , -277.5     , ...,   77.5     ,   78.5     ,\n",
       "          79.5     ],\n",
       "       [-279.5     , -278.5     , -277.5     , ...,   77.5     ,   78.5     ,\n",
       "          79.5     ],\n",
       "       ...,\n",
       "       [-279.90253 , -279.7075  , -279.5123  , ...,   79.51231 ,   79.7075  ,\n",
       "          79.90252 ],\n",
       "       [-279.94116 , -279.82343 , -279.7056  , ...,   79.7056  ,   79.82343 ,\n",
       "          79.941154],\n",
       "       [-279.98032 , -279.94098 , -279.90158 , ...,   79.901566,   79.94096 ,\n",
       "          79.98032 ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geolat_t</span></div><div class='xr-var-dims'>(yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9429cd6c-c18c-4192-86ef-6822804ab856' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9429cd6c-c18c-4192-86ef-6822804ab856' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d43692e-13ef-4058-a59c-95c84a5ab8ba' class='xr-var-data-in' type='checkbox'><label for='data-4d43692e-13ef-4058-a59c-95c84a5ab8ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tracer latitude</dd><dt><span>units :</span></dt><dd>degrees_N</dd><dt><span>valid_range :</span></dt><dd>[-91.  91.]</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd></dl></div><div class='xr-var-data'><pre>array([[-81.5     , -81.5     , -81.5     , ..., -81.5     , -81.5     ,\n",
       "        -81.5     ],\n",
       "       [-80.5     , -80.5     , -80.5     , ..., -80.5     , -80.5     ,\n",
       "        -80.5     ],\n",
       "       [-79.5     , -79.5     , -79.5     , ..., -79.5     , -79.5     ,\n",
       "        -79.5     ],\n",
       "       ...,\n",
       "       [ 65.20646 ,  65.61464 ,  66.01667 , ...,  66.01667 ,  65.61464 ,\n",
       "         65.20646 ],\n",
       "       [ 65.20902 ,  65.62222 ,  66.02913 , ...,  66.02913 ,  65.62222 ,\n",
       "         65.20902 ],\n",
       "       [ 65.21032 ,  65.626045,  66.03541 , ...,  66.03541 ,  65.626045,\n",
       "         65.21032 ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geolon_c</span></div><div class='xr-var-dims'>(yu_ocean, xu_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bdaf4deb-7176-49ec-aa4e-63db3010896f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bdaf4deb-7176-49ec-aa4e-63db3010896f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bde85de0-c778-4928-a703-f3ebf1ce9485' class='xr-var-data-in' type='checkbox'><label for='data-bde85de0-c778-4928-a703-f3ebf1ce9485' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>uv longitude</dd><dt><span>units :</span></dt><dd>degrees_E</dd><dt><span>valid_range :</span></dt><dd>[-281.  361.]</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd></dl></div><div class='xr-var-data'><pre>array([[-279.      , -278.      , -277.      , ...,   78.      ,   79.      ,\n",
       "          80.      ],\n",
       "       [-279.      , -278.      , -277.      , ...,   78.      ,   79.      ,\n",
       "          80.      ],\n",
       "       [-279.      , -278.      , -277.      , ...,   78.      ,   79.      ,\n",
       "          80.      ],\n",
       "       ...,\n",
       "       [-279.84348 , -279.6869  , -279.5301  , ...,   79.686874,   79.84348 ,\n",
       "          80.      ],\n",
       "       [-279.9214  , -279.8427  , -279.76398 , ...,   79.84272 ,   79.92139 ,\n",
       "          80.      ],\n",
       "       [-280.      , -280.      , -280.      , ...,   80.      ,   80.      ,\n",
       "          80.      ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geolat_c</span></div><div class='xr-var-dims'>(yu_ocean, xu_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e59bb931-377c-4d9a-b1b4-4dfb9f43423c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e59bb931-377c-4d9a-b1b4-4dfb9f43423c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0715f137-6e71-4b5f-8577-4ba6756ef834' class='xr-var-data-in' type='checkbox'><label for='data-0715f137-6e71-4b5f-8577-4ba6756ef834' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>uv latitude</dd><dt><span>units :</span></dt><dd>degrees_N</dd><dt><span>valid_range :</span></dt><dd>[-91.  91.]</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd></dl></div><div class='xr-var-data'><pre>array([[-81.      , -81.      , -81.      , ..., -81.      , -81.      ,\n",
       "        -81.      ],\n",
       "       [-80.      , -80.      , -80.      , ..., -80.      , -80.      ,\n",
       "        -80.      ],\n",
       "       [-79.      , -79.      , -79.      , ..., -79.      , -79.      ,\n",
       "        -79.      ],\n",
       "       ...,\n",
       "       [ 65.414185,  65.822044,  66.22376 , ...,  65.822044,  65.414185,\n",
       "         65.      ],\n",
       "       [ 65.41802 ,  65.829605,  66.23495 , ...,  65.829605,  65.41802 ,\n",
       "         65.      ],\n",
       "       [ 65.41931 ,  65.832146,  66.2387  , ...,  65.832146,  65.41931 ,\n",
       "         65.      ]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-91d1567e-0273-4eef-8c5f-47df2463aadb' class='xr-section-summary-in' type='checkbox'  ><label for='section-91d1567e-0273-4eef-8c5f-47df2463aadb' class='xr-section-summary' >Data variables: <span>(43)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>temp</span></div><div class='xr-var-dims'>(time, st_ocean, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b45b5173-966a-4c8f-aabe-1daee3953c27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b45b5173-966a-4c8f-aabe-1daee3953c27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1fcf3ee-6dcd-4df1-afc1-b569b135f3df' class='xr-var-data-in' type='checkbox'><label for='data-d1fcf3ee-6dcd-4df1-afc1-b569b135f3df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Potential temperature</dd><dt><span>units :</span></dt><dd>degrees C</dd><dt><span>valid_range :</span></dt><dd>[-10. 500.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>sea_water_potential_temperature</dd></dl></div><div class='xr-var-data'><pre>[43200000 values with 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, st_ocean, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c8793268-46ad-4005-997d-ef68305d3659' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8793268-46ad-4005-997d-ef68305d3659' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f36b5d7-0e9b-4590-82fc-e89b5883f497' class='xr-var-data-in' type='checkbox'><label for='data-4f36b5d7-0e9b-4590-82fc-e89b5883f497' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Practical Salinity</dd><dt><span>units :</span></dt><dd>psu</dd><dt><span>valid_range :</span></dt><dd>[-10. 100.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>sea_water_salinity</dd></dl></div><div class='xr-var-data'><pre>[43200000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>age_global</span></div><div class='xr-var-dims'>(time, st_ocean, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4dff9f66-357e-43ce-a346-a623fc58e653' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4dff9f66-357e-43ce-a346-a623fc58e653' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90de8384-ddf5-47e3-a1eb-58a494c36970' class='xr-var-data-in' type='checkbox'><label for='data-90de8384-ddf5-47e3-a1eb-58a494c36970' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Age (global)</dd><dt><span>units :</span></dt><dd>yr</dd><dt><span>valid_range :</span></dt><dd>[0.e+00 1.e+20]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>sea_water_age_since_surface_contact</dd></dl></div><div class='xr-var-data'><pre>[43200000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u</span></div><div class='xr-var-dims'>(time, st_ocean, yu_ocean, xu_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3b1f832c-e204-4deb-b1a1-0511ea170e1c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b1f832c-e204-4deb-b1a1-0511ea170e1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fe0c3d1-8e79-423c-aeb0-15eca2a23940' class='xr-var-data-in' type='checkbox'><label for='data-6fe0c3d1-8e79-423c-aeb0-15eca2a23940' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>i-current</dd><dt><span>units :</span></dt><dd>m/sec</dd><dt><span>valid_range :</span></dt><dd>[-10.  10.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>sea_water_x_velocity</dd></dl></div><div class='xr-var-data'><pre>[43200000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v</span></div><div class='xr-var-dims'>(time, st_ocean, yu_ocean, xu_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-634a2378-a22b-4de6-800c-07560d5bd5ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-634a2378-a22b-4de6-800c-07560d5bd5ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4137a26-652a-4be9-a100-4d3c09c843e1' class='xr-var-data-in' type='checkbox'><label for='data-e4137a26-652a-4be9-a100-4d3c09c843e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>j-current</dd><dt><span>units :</span></dt><dd>m/sec</dd><dt><span>valid_range :</span></dt><dd>[-10.  10.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>sea_water_y_velocity</dd></dl></div><div class='xr-var-data'><pre>[43200000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eta_t</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-14f55ca2-dd03-40b4-914e-9fceb13a769c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14f55ca2-dd03-40b4-914e-9fceb13a769c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9987a2ca-022e-43f3-8eb6-67f967f4c029' class='xr-var-data-in' type='checkbox'><label for='data-9987a2ca-022e-43f3-8eb6-67f967f4c029' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>surface height on T cells [Boussinesq (volume conserving) model]</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>valid_range :</span></dt><dd>[-1000.  1000.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><pre>[864000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eta_u</span></div><div class='xr-var-dims'>(time, yu_ocean, xu_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-752daff5-1933-425c-8c69-10d8c40cf014' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-752daff5-1933-425c-8c69-10d8c40cf014' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c963c073-999e-4cb3-9744-c01dc39222c1' class='xr-var-data-in' type='checkbox'><label for='data-c963c073-999e-4cb3-9744-c01dc39222c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>surface height on U cells</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>valid_range :</span></dt><dd>[-1000.  1000.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><pre>[864000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_int_rhodz</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bce10c3a-d50a-4eca-b990-d533762edb9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bce10c3a-d50a-4eca-b990-d533762edb9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-097574cb-d4a6-456c-9b71-93285f88ad24' class='xr-var-data-in' type='checkbox'><label for='data-097574cb-d4a6-456c-9b71-93285f88ad24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical sum of Potential temperature * rho_dzt</dd><dt><span>units :</span></dt><dd>deg_C*(kg/m^3)*m</dd><dt><span>valid_range :</span></dt><dd>[-1.e+20  1.e+20]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><pre>[864000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt_int_rhodz</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e1c68ce4-0c50-44e4-8f97-f08054f458f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1c68ce4-0c50-44e4-8f97-f08054f458f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eff36935-a18b-4a34-9948-ddfd0cd13416' class='xr-var-data-in' type='checkbox'><label for='data-eff36935-a18b-4a34-9948-ddfd0cd13416' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical sum of Practical Salinity * rho_dzt</dd><dt><span>units :</span></dt><dd>psu*(kg/m^3)*m</dd><dt><span>valid_range :</span></dt><dd>[-1.e+20  1.e+20]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><pre>[864000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_level</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8b01b9da-047f-4879-8fbb-78ae578b3c2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b01b9da-047f-4879-8fbb-78ae578b3c2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef51b5c1-4074-49a5-8afc-d326cf1bbf30' class='xr-var-data-in' type='checkbox'><label for='data-ef51b5c1-4074-49a5-8afc-d326cf1bbf30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>effective sea level (eta_t + patm/(rho0*g)) on T cells</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>valid_range :</span></dt><dd>[-1000.  1000.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>sea_surface_height_above_geoid</dd></dl></div><div class='xr-var-data'><pre>[864000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_levelsq</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-02fab360-ce40-4864-9f60-e73afab205ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02fab360-ce40-4864-9f60-e73afab205ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abe6b647-ae34-40de-b5d6-bf614724960a' class='xr-var-data-in' type='checkbox'><label for='data-abe6b647-ae34-40de-b5d6-bf614724960a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>square of effective sea level (eta_t + patm/(rho0*g)) on T cells</dd><dt><span>units :</span></dt><dd>m^2</dd><dt><span>valid_range :</span></dt><dd>[-1000.  1000.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>square_of_sea_surface_height_above_geoid</dd></dl></div><div class='xr-var-data'><pre>[864000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wt</span></div><div class='xr-var-dims'>(time, sw_ocean, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7c707bd2-47bb-407f-8a0f-3780784919c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c707bd2-47bb-407f-8a0f-3780784919c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c903dee-7937-4cec-b048-d2956de40dfc' class='xr-var-data-in' type='checkbox'><label for='data-4c903dee-7937-4cec-b048-d2956de40dfc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>dia-surface velocity T-points</dd><dt><span>units :</span></dt><dd>m/sec</dd><dt><span>valid_range :</span></dt><dd>[-100000.  100000.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><pre>[43200000 values with 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, st_ocean, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2828b722-a828-48b6-9fba-fc518f42f057' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2828b722-a828-48b6-9fba-fc518f42f057' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4332964c-9c9c-47ac-8605-8f71dc90b8c6' class='xr-var-data-in' type='checkbox'><label for='data-4332964c-9c9c-47ac-8605-8f71dc90b8c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>in situ density</dd><dt><span>units :</span></dt><dd>kg/m^3</dd><dt><span>valid_range :</span></dt><dd>[-1.e+01  1.e+05]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><pre>[43200000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pot_rho_0</span></div><div class='xr-var-dims'>(time, st_ocean, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-61df7523-0d29-453f-8254-71df3adbfbbc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61df7523-0d29-453f-8254-71df3adbfbbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24f49330-1021-41e2-87d8-6a6460bf51ba' class='xr-var-data-in' type='checkbox'><label for='data-24f49330-1021-41e2-87d8-6a6460bf51ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>potential density referenced to 0 dbar</dd><dt><span>units :</span></dt><dd>kg/m^3</dd><dt><span>valid_range :</span></dt><dd>[-1.e+01  1.e+05]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>sea_water_potential_density</dd></dl></div><div class='xr-var-data'><pre>[43200000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dzt</span></div><div class='xr-var-dims'>(time, st_ocean, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4a9b150c-77e2-4e9a-904f-ef0e448121a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a9b150c-77e2-4e9a-904f-ef0e448121a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fa852b9-a963-45ac-b0a1-a5c8652421de' class='xr-var-data-in' type='checkbox'><label for='data-6fa852b9-a963-45ac-b0a1-a5c8652421de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>t-cell thickness</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_range :</span></dt><dd>[-1.e+01  1.e+05]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>cell_thickness</dd></dl></div><div class='xr-var-data'><pre>[43200000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hblt</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-06a2fe0e-b277-47dc-85dd-597c59d372f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06a2fe0e-b277-47dc-85dd-597c59d372f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-847890aa-ba75-42b9-ac52-e145727ff1ea' class='xr-var-data-in' type='checkbox'><label for='data-847890aa-ba75-42b9-ac52-e145727ff1ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>T-cell boundary layer depth from KPP</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_range :</span></dt><dd>[-100000. 1000000.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>ocean_mixed_layer_thickness_defined_by_mixing_scheme</dd></dl></div><div class='xr-var-data'><pre>[864000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mld</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-06c6b0cf-1d7e-40ac-8b09-99d1bcdfc93b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06c6b0cf-1d7e-40ac-8b09-99d1bcdfc93b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17f450c6-002d-4bf7-b6f2-554d7a3d9f14' class='xr-var-data-in' type='checkbox'><label for='data-17f450c6-002d-4bf7-b6f2-554d7a3d9f14' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mixed layer depth determined by density criteria</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_range :</span></dt><dd>[      0. 1000000.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>ocean_mixed_layer_thickness_defined_by_sigma_t</dd></dl></div><div class='xr-var-data'><pre>[864000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mld_dtheta</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9ba4f052-5f45-4198-862f-840080319c59' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ba4f052-5f45-4198-862f-840080319c59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3909cbe-1e3f-4af3-8a19-9739ccbedc4f' class='xr-var-data-in' type='checkbox'><label for='data-d3909cbe-1e3f-4af3-8a19-9739ccbedc4f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mixed layer depth determined by temperature criteria</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_range :</span></dt><dd>[      0. 1000000.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><pre>[864000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pme_river</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-038fc8b7-de5f-4fd7-8916-58026da9053e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-038fc8b7-de5f-4fd7-8916-58026da9053e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95a4726e-0d58-47c1-bd65-a67006435815' class='xr-var-data-in' type='checkbox'><label for='data-95a4726e-0d58-47c1-bd65-a67006435815' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mass flux of precip-evap+river via sbc (liquid, frozen, evaporation)</dd><dt><span>units :</span></dt><dd>(kg/m^3)*(m/sec)</dd><dt><span>valid_range :</span></dt><dd>[-1000000.  1000000.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>water_flux_into_sea_water</dd></dl></div><div class='xr-var-data'><pre>[864000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>river</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d48df38b-69c0-4377-9e4a-b0472e6052c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d48df38b-69c0-4377-9e4a-b0472e6052c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9918e95b-4f50-4f2c-9810-f4ec0cc33afd' class='xr-var-data-in' type='checkbox'><label for='data-9918e95b-4f50-4f2c-9810-f4ec0cc33afd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mass flux of river (runoff + calving) entering ocean</dd><dt><span>units :</span></dt><dd>(kg/m^3)*(m/sec)</dd><dt><span>valid_range :</span></dt><dd>[-1000000.  1000000.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><pre>[864000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_calving</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-42994b72-f4fd-4377-b92d-753fdd4b4756' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42994b72-f4fd-4377-b92d-753fdd4b4756' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-224d671f-2f18-4277-bbeb-3bd3dac4e2d0' class='xr-var-data-in' type='checkbox'><label for='data-224d671f-2f18-4277-bbeb-3bd3dac4e2d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mass flux of land ice calving into ocean</dd><dt><span>units :</span></dt><dd>(kg/m^3)*(m/sec)</dd><dt><span>valid_range :</span></dt><dd>[-1000000.  1000000.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>water_flux_into_sea_water_from_icebergs</dd></dl></div><div class='xr-var-data'><pre>[864000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sfc_hflux_coupler</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-876dcef7-8a83-477a-b376-bf55ae833a1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-876dcef7-8a83-477a-b376-bf55ae833a1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89335764-abdd-477f-8144-06990dd4153a' class='xr-var-data-in' type='checkbox'><label for='data-89335764-abdd-477f-8144-06990dd4153a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>surface heat flux coming through coupler</dd><dt><span>units :</span></dt><dd>Watts/m^2</dd><dt><span>valid_range :</span></dt><dd>[-10000.  10000.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><pre>[864000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>net_sfc_heating</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9fd07892-6d67-42fb-b015-04e3de7225f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9fd07892-6d67-42fb-b015-04e3de7225f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-688c5512-a7ea-42e5-87ce-feb940aadbb0' class='xr-var-data-in' type='checkbox'><label for='data-688c5512-a7ea-42e5-87ce-feb940aadbb0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>surface ocean heat flux coming through coupler and mass transfer</dd><dt><span>units :</span></dt><dd>Watts/m^2</dd><dt><span>valid_range :</span></dt><dd>[-10000.  10000.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><pre>[864000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tau_x</span></div><div class='xr-var-dims'>(time, yu_ocean, xu_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a3a744c6-dde5-442f-bd5e-4cc9e1576a33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3a744c6-dde5-442f-bd5e-4cc9e1576a33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c0e353a-3b02-4d48-b892-416670c223ab' class='xr-var-data-in' type='checkbox'><label for='data-5c0e353a-3b02-4d48-b892-416670c223ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>i-directed wind stress forcing u-velocity</dd><dt><span>units :</span></dt><dd>N/m^2</dd><dt><span>valid_range :</span></dt><dd>[-10.  10.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>surface_downward_x_stress</dd></dl></div><div class='xr-var-data'><pre>[864000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tau_y</span></div><div class='xr-var-dims'>(time, yu_ocean, xu_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-44b87062-c8fb-4294-b916-46153a0eed16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44b87062-c8fb-4294-b916-46153a0eed16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39d76181-b28c-4873-bba3-61f748e70889' class='xr-var-data-in' type='checkbox'><label for='data-39d76181-b28c-4873-bba3-61f748e70889' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>j-directed wind stress forcing v-velocity</dd><dt><span>units :</span></dt><dd>N/m^2</dd><dt><span>valid_range :</span></dt><dd>[-10.  10.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>surface_downward_y_stress</dd></dl></div><div class='xr-var-data'><pre>[864000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>frazil_2d</span></div><div class='xr-var-dims'>(time, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f8f57196-0876-4e1b-a368-1edeb0d6fbad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f8f57196-0876-4e1b-a368-1edeb0d6fbad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffe05578-6ed8-43ee-b1d5-c9c18d8b3fc6' class='xr-var-data-in' type='checkbox'><label for='data-ffe05578-6ed8-43ee-b1d5-c9c18d8b3fc6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ocn frazil heat flux over time step</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>valid_range :</span></dt><dd>[-1.e+10  1.e+10]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><pre>[864000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tx_trans</span></div><div class='xr-var-dims'>(time, st_ocean, yt_ocean, xu_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fa5ef8a6-19da-43b4-bd6f-b45acbed95c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa5ef8a6-19da-43b4-bd6f-b45acbed95c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b49786e-9d38-4ecd-951a-af3e14c05de6' class='xr-var-data-in' type='checkbox'><label for='data-8b49786e-9d38-4ecd-951a-af3e14c05de6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>T-cell i-mass transport</dd><dt><span>units :</span></dt><dd>Sv (10^9 kg/s)</dd><dt><span>valid_range :</span></dt><dd>[-1.e+20  1.e+20]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>ocean_x_mass_transport</dd></dl></div><div class='xr-var-data'><pre>[43200000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ty_trans</span></div><div class='xr-var-dims'>(time, st_ocean, yu_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2497ed2f-e4f5-4023-af94-2664f763f0e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2497ed2f-e4f5-4023-af94-2664f763f0e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6935bd6f-e4e0-4fae-b46d-edf486132874' class='xr-var-data-in' type='checkbox'><label for='data-6935bd6f-e4e0-4fae-b46d-edf486132874' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>T-cell j-mass transport</dd><dt><span>units :</span></dt><dd>Sv (10^9 kg/s)</dd><dt><span>valid_range :</span></dt><dd>[-1.e+20  1.e+20]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>ocean_y_mass_transport</dd></dl></div><div class='xr-var-data'><pre>[43200000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tx_trans_rho</span></div><div class='xr-var-dims'>(time, potrho, grid_yt_ocean, grid_xu_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-11e05bee-9e6f-4ebd-81c6-fc747fc6f1b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11e05bee-9e6f-4ebd-81c6-fc747fc6f1b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10a392e0-5b1e-4d91-bc6f-0878cf9e92af' class='xr-var-data-in' type='checkbox'><label for='data-10a392e0-5b1e-4d91-bc6f-0878cf9e92af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>T-cell i-mass transport on pot_rho</dd><dt><span>units :</span></dt><dd>Sv (10^9 kg/s)</dd><dt><span>valid_range :</span></dt><dd>[-1.e+20  1.e+20]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><pre>[69120000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ty_trans_rho</span></div><div class='xr-var-dims'>(time, potrho, grid_yu_ocean, grid_xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b8c463aa-d9e9-46ce-bdd7-43e9ff5f4081' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8c463aa-d9e9-46ce-bdd7-43e9ff5f4081' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4a5ff30-23fc-48c3-a714-3039bde731b8' class='xr-var-data-in' type='checkbox'><label for='data-c4a5ff30-23fc-48c3-a714-3039bde731b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>T-cell j-mass transport on pot_rho</dd><dt><span>units :</span></dt><dd>Sv (10^9 kg/s)</dd><dt><span>valid_range :</span></dt><dd>[-1.e+20  1.e+20]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><pre>[69120000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt_xflux_adv_int_z</span></div><div class='xr-var-dims'>(time, yt_ocean, xu_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c14babd5-1682-4048-a440-eaeb4b253d34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c14babd5-1682-4048-a440-eaeb4b253d34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87baf711-3532-474d-94c3-dbe5a4dc6156' class='xr-var-data-in' type='checkbox'><label for='data-87baf711-3532-474d-94c3-dbe5a4dc6156' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>z-integral of rho*dzt*dyt*u*tracer</dd><dt><span>units :</span></dt><dd>kg/sec</dd><dt><span>valid_range :</span></dt><dd>[-1.e+18  1.e+18]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><pre>[864000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt_yflux_adv_int_z</span></div><div class='xr-var-dims'>(time, yu_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e2c3aa8b-fa0c-4b03-a269-1dd435526c74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2c3aa8b-fa0c-4b03-a269-1dd435526c74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f40c64c-0ef9-453c-b965-df97d6a593d7' class='xr-var-data-in' type='checkbox'><label for='data-2f40c64c-0ef9-453c-b965-df97d6a593d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>z-integral of rho*dzt*dxt*v*tracer</dd><dt><span>units :</span></dt><dd>kg/sec</dd><dt><span>valid_range :</span></dt><dd>[-1.e+18  1.e+18]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><pre>[864000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_xflux_adv_int_z</span></div><div class='xr-var-dims'>(time, yt_ocean, xu_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4d81607b-3c46-48d6-8af8-d20d342a7ec9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d81607b-3c46-48d6-8af8-d20d342a7ec9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0db4fd00-0d75-4852-894d-e37227685084' class='xr-var-data-in' type='checkbox'><label for='data-0db4fd00-0d75-4852-894d-e37227685084' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>z-integral of cp*rho*dyt*u*temp</dd><dt><span>units :</span></dt><dd>Watts</dd><dt><span>valid_range :</span></dt><dd>[-1.e+18  1.e+18]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><pre>[864000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_yflux_adv_int_z</span></div><div class='xr-var-dims'>(time, yu_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0f79d1a9-a82b-4b0e-8357-752cd9b54af0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f79d1a9-a82b-4b0e-8357-752cd9b54af0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2fa9cb64-df0b-41d6-9c6d-61e8ac033798' class='xr-var-data-in' type='checkbox'><label for='data-2fa9cb64-df0b-41d6-9c6d-61e8ac033798' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>z-integral of cp*rho*dxt*v*temp</dd><dt><span>units :</span></dt><dd>Watts</dd><dt><span>valid_range :</span></dt><dd>[-1.e+18  1.e+18]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><pre>[864000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tx_trans_int_z</span></div><div class='xr-var-dims'>(time, yt_ocean, xu_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-308e6c86-3594-4999-9822-dedf48fb1f5d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-308e6c86-3594-4999-9822-dedf48fb1f5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4749307-409b-42c0-a98f-9362186a0496' class='xr-var-data-in' type='checkbox'><label for='data-b4749307-409b-42c0-a98f-9362186a0496' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>T-cell i-mass transport vertically summed</dd><dt><span>units :</span></dt><dd>Sv (10^9 kg/s)</dd><dt><span>valid_range :</span></dt><dd>[-1.e+20  1.e+20]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><pre>[864000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ty_trans_int_z</span></div><div class='xr-var-dims'>(time, yu_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c732339a-ecb9-4ecd-aee5-547e266e7436' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c732339a-ecb9-4ecd-aee5-547e266e7436' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fde0dbae-8e11-4671-8ee1-77b8b06194fe' class='xr-var-data-in' type='checkbox'><label for='data-fde0dbae-8e11-4671-8ee1-77b8b06194fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>T-cell j-mass transport vertically summed</dd><dt><span>units :</span></dt><dd>Sv (10^9 kg/s)</dd><dt><span>valid_range :</span></dt><dd>[-1.e+20  1.e+20]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><pre>[864000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>psiu</span></div><div class='xr-var-dims'>(time, yt_ocean, xu_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ff796ad8-a743-4ffb-98a1-c2a37091e39a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff796ad8-a743-4ffb-98a1-c2a37091e39a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82abbd6e-a5a5-4771-a493-916d97c9dc07' class='xr-var-data-in' type='checkbox'><label for='data-82abbd6e-a5a5-4771-a493-916d97c9dc07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quasi-barotropic strmfcn psiu (compatible with tx_trans)</dd><dt><span>units :</span></dt><dd>Sv (10^9 kg/s)</dd><dt><span>valid_range :</span></dt><dd>[-1.e+20  1.e+20]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>ocean_barotropic_mass_streamfunction</dd></dl></div><div class='xr-var-data'><pre>[864000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>psiv</span></div><div class='xr-var-dims'>(time, yu_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-881df1af-2a20-4f57-9092-7700ce7f257b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-881df1af-2a20-4f57-9092-7700ce7f257b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-745d340f-50e3-4965-ace4-86c11057a2fb' class='xr-var-data-in' type='checkbox'><label for='data-745d340f-50e3-4965-ace4-86c11057a2fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quasi-barotropic strmfcn psiv (compatible with ty_trans)</dd><dt><span>units :</span></dt><dd>Sv (10^9 kg/s)</dd><dt><span>valid_range :</span></dt><dd>[-1.e+20  1.e+20]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><pre>[864000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>diff_cbt_t</span></div><div class='xr-var-dims'>(time, st_ocean, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-77467d18-37f3-4514-8eff-045de6037e96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77467d18-37f3-4514-8eff-045de6037e96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30a522c0-b4e1-4049-820d-d605d0f26f09' class='xr-var-data-in' type='checkbox'><label for='data-30a522c0-b4e1-4049-820d-d605d0f26f09' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>total vert diff_cbt(temp) (w/o neutral included)</dd><dt><span>units :</span></dt><dd>m^2/s</dd><dt><span>valid_range :</span></dt><dd>[-1.e+01  1.e+06]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>ocean_vertical_heat_diffusivity</dd></dl></div><div class='xr-var-data'><pre>[43200000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>average_T1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e766b315-94c5-4baf-bd0b-5f310cd798ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e766b315-94c5-4baf-bd0b-5f310cd798ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f05eefdd-88df-40f2-bb58-7124c566b308' class='xr-var-data-in' type='checkbox'><label for='data-f05eefdd-88df-40f2-bb58-7124c566b308' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Start time for average period</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1965-09-10T00:00:00.000000000&#x27;, &#x27;1965-10-11T00:00:00.000000000&#x27;,\n",
       "       &#x27;1965-11-08T00:00:00.000000000&#x27;, &#x27;1965-12-09T00:00:00.000000000&#x27;,\n",
       "       &#x27;1966-01-08T00:00:00.000000000&#x27;, &#x27;1966-02-08T00:00:00.000000000&#x27;,\n",
       "       &#x27;1966-03-10T00:00:00.000000000&#x27;, &#x27;1966-04-10T00:00:00.000000000&#x27;,\n",
       "       &#x27;1966-05-11T00:00:00.000000000&#x27;, &#x27;1966-06-10T00:00:00.000000000&#x27;,\n",
       "       &#x27;1966-07-11T00:00:00.000000000&#x27;, &#x27;1966-08-10T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>average_T2</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-177bf8da-360e-4a42-9697-1b56e5549216' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-177bf8da-360e-4a42-9697-1b56e5549216' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e283a64-633b-4fc2-9adf-e1c81b93cf67' class='xr-var-data-in' type='checkbox'><label for='data-6e283a64-633b-4fc2-9adf-e1c81b93cf67' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>End time for average period</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1965-10-11T00:00:00.000000000&#x27;, &#x27;1965-11-08T00:00:00.000000000&#x27;,\n",
       "       &#x27;1965-12-09T00:00:00.000000000&#x27;, &#x27;1966-01-08T00:00:00.000000000&#x27;,\n",
       "       &#x27;1966-02-08T00:00:00.000000000&#x27;, &#x27;1966-03-10T00:00:00.000000000&#x27;,\n",
       "       &#x27;1966-04-10T00:00:00.000000000&#x27;, &#x27;1966-05-11T00:00:00.000000000&#x27;,\n",
       "       &#x27;1966-06-10T00:00:00.000000000&#x27;, &#x27;1966-07-11T00:00:00.000000000&#x27;,\n",
       "       &#x27;1966-08-10T00:00:00.000000000&#x27;, &#x27;1966-09-10T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>average_DT</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a2661613-86fe-44d3-a084-b7e509f94608' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2661613-86fe-44d3-a084-b7e509f94608' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c871191-f189-43cc-a1a9-09d432884a95' class='xr-var-data-in' type='checkbox'><label for='data-1c871191-f189-43cc-a1a9-09d432884a95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Length of average period</dd></dl></div><div class='xr-var-data'><pre>array([2678400000000000, 2419200000000000, 2678400000000000, 2592000000000000,\n",
       "       2678400000000000, 2592000000000000, 2678400000000000, 2678400000000000,\n",
       "       2592000000000000, 2678400000000000, 2592000000000000, 2678400000000000],\n",
       "      dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bounds</span></div><div class='xr-var-dims'>(time, nv)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-352d2922-d5c0-4fc4-963d-14e44fa019bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-352d2922-d5c0-4fc4-963d-14e44fa019bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c96af58-1954-4262-a952-0fbf04965802' class='xr-var-data-in' type='checkbox'><label for='data-5c96af58-1954-4262-a952-0fbf04965802' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time axis boundaries</dd><dt><span>calendar :</span></dt><dd>NOLEAP</dd></dl></div><div class='xr-var-data'><pre>array([[6659543778871345152, 6662222178871345152],\n",
       "       [6662222178871345152, 6664641378871345152],\n",
       "       [6664641378871345152, 6667319778871345152],\n",
       "       [6667319778871345152, 6669911778871345152],\n",
       "       [6669911778871345152, 6672590178871345152],\n",
       "       [6672590178871345152, 6675182178871345152],\n",
       "       [6675182178871345152, 6677860578871345152],\n",
       "       [6677860578871345152, 6680538978871345152],\n",
       "       [6680538978871345152, 6683130978871345152],\n",
       "       [6683130978871345152, 6685809378871345152],\n",
       "       [6685809378871345152, 6688401378871345152],\n",
       "       [6688401378871345152, 6691079778871345152]], dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b5829d2e-9bb9-4926-bef6-e28673e617d6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b5829d2e-9bb9-4926-bef6-e28673e617d6' 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>filename :</span></dt><dd>ocean.nc</dd><dt><span>title :</span></dt><dd>CM2.5_A_Control-1990_FLOR_B01</dd><dt><span>grid_type :</span></dt><dd>mosaic</dd><dt><span>grid_tile :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:               (grid_xt_ocean: 360, grid_xu_ocean: 360, grid_yt_ocean: 200, grid_yu_ocean: 200, nv: 2, potrho: 80, potrho_edges: 81, st_edges_ocean: 51, st_ocean: 50, sw_edges_ocean: 51, sw_ocean: 50, time: 12, xt_ocean: 360, xu_ocean: 360, yt_ocean: 200, yu_ocean: 200)\n",
       "Coordinates: (12/20)\n",
       "  * xt_ocean              (xt_ocean) float64 -279.5 -278.5 -277.5 ... 78.5 79.5\n",
       "  * yt_ocean              (yt_ocean) float64 -81.5 -80.5 -79.5 ... 88.5 89.5\n",
       "  * time                  (time) object 1967-01-16 12:00:00 ... 1967-12-16 12...\n",
       "  * nv                    (nv) float64 1.0 2.0\n",
       "  * xu_ocean              (xu_ocean) float64 -279.0 -278.0 -277.0 ... 79.0 80.0\n",
       "  * yu_ocean              (yu_ocean) float64 -81.0 -80.0 -79.0 ... 89.0 90.0\n",
       "    ...                    ...\n",
       "  * grid_xt_ocean         (grid_xt_ocean) float64 -279.5 -278.5 ... 78.5 79.5\n",
       "  * grid_yu_ocean         (grid_yu_ocean) float64 -81.0 -80.0 ... 89.0 90.0\n",
       "    geolon_t              (yt_ocean, xt_ocean) float32 ...\n",
       "    geolat_t              (yt_ocean, xt_ocean) float32 ...\n",
       "    geolon_c              (yu_ocean, xu_ocean) float32 ...\n",
       "    geolat_c              (yu_ocean, xu_ocean) float32 ...\n",
       "Data variables: (12/43)\n",
       "    temp                  (time, st_ocean, yt_ocean, xt_ocean) float32 ...\n",
       "    salt                  (time, st_ocean, yt_ocean, xt_ocean) float32 ...\n",
       "    age_global            (time, st_ocean, yt_ocean, xt_ocean) float32 ...\n",
       "    u                     (time, st_ocean, yu_ocean, xu_ocean) float32 ...\n",
       "    v                     (time, st_ocean, yu_ocean, xu_ocean) float32 ...\n",
       "    eta_t                 (time, yt_ocean, xt_ocean) float32 ...\n",
       "    ...                    ...\n",
       "    psiv                  (time, yu_ocean, xt_ocean) float32 ...\n",
       "    diff_cbt_t            (time, st_ocean, yt_ocean, xt_ocean) float32 ...\n",
       "    average_T1            (time) datetime64[ns] ...\n",
       "    average_T2            (time) datetime64[ns] ...\n",
       "    average_DT            (time) timedelta64[ns] ...\n",
       "    time_bounds           (time, nv) timedelta64[ns] ...\n",
       "Attributes:\n",
       "    filename:   ocean.nc\n",
       "    title:      CM2.5_A_Control-1990_FLOR_B01\n",
       "    grid_type:  mosaic\n",
       "    grid_tile:  1"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ifile = '/tigress/wenchang/MODEL_OUT/Agung_PI_ens_noleap/en01/POSTP/19670101.ocean.nc'\n",
    "ds = xr.open_dataset(ifile)\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "50e343ec-fe29-4255-b76e-5cef3a91fd82",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2b194febbaf0>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 819.2x460.8 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 475,
       "width": 832
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds.temp.isel(time=0, st_ocean=0).plot(levels=21)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "db0c5aa9-8d24-4cb4-ac2f-68fe215b43e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2b195c040610>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 819.2x460.8 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 475,
       "width": 832
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_ = ds[['temp']]\n",
    "ds_.temp.isel(time=0, st_ocean=0).plot(x='geolon_t', y='geolat_t', levels=21)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "42b037ed-b1e4-44ea-a498-8e6408748df5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2abb612899a0>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 819.2x460.8 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 475,
       "width": 832
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds.geolat_t.plot(levels=21)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "3ce5ca19-da99-46b8-922d-4a18ee4624f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2abb61358b80>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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hBQGPb3DoEyrtNcC1jT5T3eV/AfapzDwpIi4HvgjsUSfsAYolgF8YpfgDsHGlPVpcreq/XNrxDc1KioJVI+YC0YZnSpIkSZIkSVJLImID4EzguZXuT2Tmv7bxMYez/nf64zlP6EKGC0D7NjimGndxZj44jueqC9wCrg9FxIKI+AFwGcPFn3uA/wN+BlxFsZRvOvBPwDURcVxE1PvznlZpN/MPbzV2ehPjRpSZx2fmFo28gLtbfZ4kSZIkSZIktSoipgLfAP6h0v2ZzHxXmx9VPeLjj5n563HM8b1Ke+eIePJowRGxDbB/nfHqcRaA+kxEbEdR6BmqJP8VeA6weWbunZkHZuauwALgc2XMBsB7gC/XmXZlpb1RE+lUY+vv3yJJkiRJkiRJA6j8S/enAi+pdJ+YmW9v83OeDOxa6RrP6h+Ac4G/Va4/MEb8e4GpZXslxSon9QkLQP3nNIYP3for8OTMPDszq4d3kZm3ZeYxwDsr3UdFxPNHmLNavJnRRC7VjdctAEmSJEmSJEmaNCIigK8Ar6h0fxE4ZgIeV139swb4+ngmKY8K+VCl69kR8b6RYiPiVcDrKl2fzcyl43muusMzgPpIRDwF2K/SdWxm3jnGsE9T/Mtht/L67cD3a2LuBOaX7fk0rho7Vh6T2uxtFnc7BbXRnIU7dzuFgTd3/ibdTqHn3bF0/br7vK3acRTb5HHlkuUPtXdbOKeLmWg011R+zxf7Oy5gx7kzxw5S31g4e8NupzDw5s3w//KPZcWU4X+vzFq3cpRIjWTtpgsfak9dtqSLmWg0U7bc/qH2uttv7GIm0kB6MfCayvVaYEfgR0VtqCGvGquoEhEbAYdVus7OzNubSbTGV4EXAgeV1x+OiP2BU4Cbga0oVjS9oDLmCuDfW3imusD/GuwvB1Xaa4CzxxqQmRkRZzFcAHpKREzPzAcqYVcDjynb29O47Srtq5sYJ0mSJEmSJEn9rvZvKE0FDm5yjkZ2ZHoBUP3bi+Pd/g2AzFwbES8CzgP2KrsPKF8j+TPwnMx0F6g+4xZw/WVhpX1nZt7f4LibKu1pwOY19/9YaT86IqaNNWFEbFszz1UN5iJJkiRJkiRJalx1+7elwDmtTpiZfweeRnHGT73VRMuB/wCekJm3tPpMdZ4rgPrL6kq7mbN6Nq65rl3XfmHNvHsAl4wx53411z9vIh9JkiRJkiRJ6muZeQrFtmkT/ZyDxo4a17wPAsdFxMcpikE7AfOAe4AbgAvKM4PUpywA9ZdbK+1NI+IRmXltA+P2qLTvy8zlNfcvBO5ieEXP4YxdADq80v5dZt7QQB5S3/Lcn4nnuT/qlup5QLU8H6h3XFNz7pVnAkn9xzN/OsNzf9Qt1fOAank+UO/wPCBJIykLQeeXLw0Qt4DrL7WrbN451oCI2JH1D+u6oDYmM9cCp1W6joiIHUaZ8ymsfx5RS3tOSpIkSZIkSZKk9rIA1F9+xfrn9bwhIt5WLzgitgd+CFT/qt1X6oR/FLi3bM8EzoyI2rOCiIhFwOlAlF03AF8aO3VJkiRJkiRJktQprg3vI5m5LiLeAvyY4T+7T0fEy4D/Av4ErAK2Bp4OHMH65//8T2aeVWfuOyLizcCpZdcewBURcSLw2/J5ewNvBOaWMWuAozLzgTb9iJIkSZIkSZIkqQ0sAPWZzDw/Il4JfI3h4s6e5Ws05wKHjTH3aRGxADiOYnXYQoqVQSNZDRydmT9rNHdJkiRJkiRJktQZFoD6UGaeGRG/Ad4LvIRiy7Z6Lgc+nZmnjRJTnftjEXEJ8EmKVUAPC6E4DOxtmfmHphKfRGZvs7jbKWgc5izcudspTDpz52/S7RSkUV25ZPlD7d0WzuliJqp1zdIVD7UXbzWri5loIu04d7T/zFWvWjh7w7GD1FbzZvh/7dXb1m668KH21GVLupiJqqZsuf161+tuv7FLmUiSJor/ldinMvM64MiIeCPwBGBXYDNgOvB3YAlwaWbePI65LwT2jIjFwJOABcDacs5LMvOW9vwUkiRJkiRJkiRpIlgA6nOZuQq4pHy1e+5rgGvaPa8kSZIkSZIkSZpYU7qdgCRJkiRJkiRJktrLApAkSZIkSZIkSdKAcQs4SZPanIU7dzsFqS3uWLriofa8rWZ1MZPBdeWS5Q+1d1s4p4uZqNY1ld//xf7+Sx23cPaG3U5BaosVU2audz1r3couZTLY1m668KH21GVLupiJak3ZcvuH2utuv7GLmUiS2sUVQJIkSZIkSZIkSQPGApAkSZIkSZIkSdKAsQAkSZIkSZIkSZI0YDwDSGqT2dss7nYKaoBn/nTX3PmbdDsFqS2q5wGBZwL1kup5QOCZQP1ox7kzxw5S13nuT3fNm+H/lddgqJ4HBJ4J1Es8D0iSBoMrgCRJkiRJkiRJkgaMBSBJkiRJkiRJkqQBYwFIkiRJkiRJkiRpwFgAkiRJkiRJkiRJGjCeHClp4M1ZuHO3U5A04K5csvyh9m4L53QxE0maOAtnb9jtFCQNuLWbLnyoPXXZki5mIknSYHAFkCRJkiRJkiRJ0oCxACRJkiRJkiRJkjRgLABJkiRJkiRJkiQNGM8AkiRNqLnzN+l2CpImsWuWrniovXirWV3MRJJaM2+G//ddUndM2XL79a7X3X5jlzKRJDXL/4KUJEmSJEmSJDVsagSLN9mw22k8zNT7ArLbWUi9wy3gJEmSJEmSJEmSBowFIEmSJEmSJEmSpAFjAUiSJEmSJEmSJGnAeAaQ1ILZ2yzudgqqY87CnbudgtQ1d1QOvZ/nofcdd+WS5Q+1d1s4p4uZSP1jx7kzu52CRrBwdu/t6y910oopw/9umrVuZRczmZzWbrrwofbUZUu6mIkkSf3LFUCSJEmSJEmSJEkDxgKQJEmSJEmSJEnSgLEAJEmSJEmSJEmSNGAsAEmSJEmSJEmSJA0YC0CSJEmSJEmSJEkDxgKQJEmSJEmSJEnSgLEAJEmSJEmSJEmSNGAsAEmSJEmSJEmSJA2YDbqdgCRp8Mydv0m3U5Ckh7lm6YqH2ou3mtXFTCSpMfNm+H/ZJfWeKVtu/1B73e03djETSdJYXAEkSZIkSZIkSZI0YCwASZIkSZIkSZIkDRgLQJIkSZIkSZIkSQPGApAkSZIkSZIkSdKA8URJSQNhzsKdu52CJD3MlUuWr3e928I5XcpEkhqzcPaG3U5Bkh5m7aYLH2pPXbaki5lIktRfXAEkSZIkSZIkSZI0YCwASZIkSZIkSZIkDRgLQJIkSZIkSZIkSQPGApAkSZIkSZIkSdKAsQAkSZIkSZIkSZI0YCwASZIkSZIkSZIkDRgLQJIkSZIkSZIkSQPGApAkSZIkSZIkSdKAsQAkSZIkSZIkSZI0YCwASZIkSZIkSZIkDRgLQJIkSZIkSZIkSQPGApAkSZIkSZIkSdKAsQAkSZIkSZIkSZI0YCwASZIkSZIkSZIkDRgLQJIkSZIkSZIkSQPGApAkSZIkSZIkSdKAsQAkSZIkSZIkSZI0YCwASZIkSZIkSZIkDRgLQJIkSZIkSZIkSQPGApAkSZIkSZIkSdKAsQAkSZIkSZIkSZI0YDbodgKSJEmSJEmSpP4xZYNg80fN7XYaDzPlzoA13c5C6h2uAJIkSZIkSZIkSRowFoAkSZIkSZIkSZIGjAUgSZIkSZIkSZKkAWMBSJIkSZIkSZIkacBYAJIkSZIkSZIkSRowFoAkSZIkSZIkSZIGjAUgSZIkSZIkSZKkAbNBtxNQ6yJiQ+DZwAuBxwPzgZnA7cBtwOXABcD5mXlbA/MF8CzgFcCTgIXAWmAJ8Avg65n5i3b/HJIkSZIkSZIkqT0sAPW5iHgW8J/AjiPc3q587Qm8DjgbeM4Y8y0ATgYOHuH2HGBX4HURcTrw5sxcPv7sJUmSJEmSJEnSRLAA1Mci4l+Bj9R0LwP+CtxDUbBZDMxucL7NKVYK7Vwz31XANIriz8yy/5XADhFxYGauHtcPIEmSJEmSJEmSJoRnAPWpiPhn1i/+/Ao4ENgiM5+Ymc/IzD2ATYHdgQ9TbOE2mjMYLv6sA94NLMjMvcu5FgCfrsQ/FTihxR9FkiRJkiRJkiS1mSuA+lBEPB7490rXycDRmbmuNjYzE7iifI025yHAQZWut2Xm52rmWg68ozgiiLeX3UdHxAmZ+cemfxBJkiRJkiRJkjQhXAHUn77KcPHu19Qp/jTpPZX274ATx4i9rWxPAY5t8dmSJEmSJEmSJKmNLAD1mYjYF3hCpeutrRZ/ImI+sHel6wvlyqERZeYqilVHQ54XEdNayUGSJEmSJEmSJLWPBaD+87pK+/eZ+cs2zHkoEJXrsxsYc06lPQfYtw15SJIkSZIkSZKkNrAA1H8OrrR/2KY5d6+0b8zMWxsYcymwps4ckiRJkiRJkiSpiywA9ZGI2BGYV+n6v7L/URHxqYj4Y0T8PSJWRMT1EXFmRLwiIqaOMfWulfZfGsklM1cDN1e6dmlknCRJkiRJkiRJmngbdDsBNeWxNdd/iYj3Au8Has/g2RhYBLwEeH9EHJaZv6sz76JK+6Ym8rkJ2LFs79DEuBFFxLuAdzUYPrfV50mSJEmSJEmSNKgsAPWXLWqu3wi8rXJ9Q/namKJYtGHZvxi4KCKemZkXjzDv7Ep7eRP5VGM3aWJcPTOBzdswjyRJkiRJkiRJk5oFoP6yac3128r3K4HXZeb/Dd2IiFkUq2neCwRFUehbEfGYzLy7Zp6NK+1VTeRzf6U9q4lx9awE7mowdi7FzyVJkiRJkiRJkmp4BlB/2WiEvuuAfavFH4DMXJGZ72f9FUILgLeOMEd1+7gHm8inGju9iXEjyszjM3OLRl5AbRFLkiRJkiRJkiSVLAD1l/tG6Ht7Zt5Tb0BmngD8ptJ19AhhKyvtkYpM9VRjVzQxTpIkSZIkSZIkTSALQP3l3prru4CzGxh3aqW9ICJ2rrlfLd7MaCKfmXXmkCRJkiRJkiRJXWQBqL/cWXN9eWaua2DcZTXXO44y7/wm8qnG1uYmSZIkSZIkSZK6xAJQf/lTzfVdDY6rLc7Mrbm+utLevol8tqszhyRJkiRJkiRJ6iILQP3lOmBV5XrDBsfVnutzf831HyvtR0fEtLEmjIhtgc0rXVc1mIskSZIkSZIkSZpgG3Q7ATUuM9dGxEXAQWVX7VZu9dTGLa25vrDSngHsAVwyxpz71Vz/vMFcJEmSJEmSJEnqqIj4WRcfn5l5YKcfagGo//w3wwWgR0fEwsxcMsaYZ1baq4Df1dy/kGI7uaEVPYczdgHo8Er7d5l5wxjxkiRJkiRJkjSQImJz4InAkyrv1SM0Ts3MV49z7scCRwBPAXYG5gBrgbspdne6oJz/1nHMvRnwcuBFwCOAeeW8NwBnAadl5t/Gk3cP2h/ILjw3uvRct4DrQ98GlpXtKcC/jBYcEdtT/MthyLmZWd1GjsxcC5xW6ToiInYYZc6nMFyEAjh57LQlSZIkSZIkabBExNYRcT3FOeznAccBL2D94s94554bEf8FXAG8E9ibokAznWInp4XAwcC/A9dHxAcjYmoT8x9KcbTHiRTFkW0ojh2ZT1Fs+hjw54h4das/S4+JDr+6xhVAfSYz74mIjwIfL7veFBFXZOZXa2MjYh7wXWDjoeEU/wIayUeBo4FNgJnAmRHx7My8q2bORcDpDP/i3gB8adw/kCRJkiRJkiT1r42ARe2eNCLmAD8Fdq+5dS1wMzANeCRFQQiKotAHKFbxvLKB+Z8PfIf1F4lcD9wEbF3ODcX3xSdHxKzMPHEcP0ovuhb4Roee9Upgpw4962EsAPWnzwCHUJzDE8BXIuJFwBkUBZmZwFOBNzC8rRvAhzPzNyNNmJl3RMSbgVPLrj2AKyLiROC3FL8rewNvBOaWMWuAozLzgbb9ZJIkSZIkSZLUn+6m+C71N8BlwAkUq2nG42OsX/w5DzgmM6+pBkXEs4AvMFyEekVEnJuZp9ebOCJ2piiADBV/bgQOz8yLKjGPpdg16nFl12ci4vLM/MU4f55ecm1mfqgTD4qIvbAApGZk5gNlhfYciqV4UJzz88y6g+B4YNRf6sw8LSIWUKwSmkKxhPCjdcJXA0dnZjcPzpIkSZIkSZKkbrobeDFwWWZeX70REZ8cz4QRsQlwZKXrl8BzM3NNbWxmnhsR+wNXArPK7rdQ7OJUz3EUiwigOG7kaZl5c828v4+IfSm2n1sETAU+wfD30eoDngHUpzJzGfA04F3AklFCfwkcnJnHZuaYB01l5seApwOX1gsBfgbsMVoVWZIkSZIkSZIGXWb+PTP/u7b406InU5zFM+STIxV/KjncyPpnvO8REdNHii1X/7yo0vXB2uJPZd6/A2+vdO0VEQeMlbx6hyuA+lhmrgU+ERGfAvYCFlPsz7ga+Bvwi8y8ZRzzXgjsGRGLgScBC4C1FIWmS8YzpyRJkiRJkiSpIVvWXF/ZwJg/VNpBcTTI30aIewHD57uvBE4ZY94fArcA25TXL6JYINCPTqNY4PCHsQLb6CfAbR183nosAA2AzFwHXFK+2jnvNcA1YwZKkiRJkiRJktrl3prrEVfz1Nio0k5geZ2451baF2dmvbhiosy1EXEecFRl/D82kE/PycxXd+GZ/9HpZ1a5BZwkSZIkSZIkSb3jUmBd5Xq/BsZUYy7LzJV14h5XaTe6oODiSnubiNi8wXHqMgtAkiRJkiRJkiT1iMy8DfhOpes9EbFNvfiIOAT4f5Wuj9eJ2w6YVen6S4MpXVtzvUuD49RlFoAkSZIkSZIkSeotb2H4rJr5wG8i4i0RsWNETIuImRHxhIj4NHAWw+f6fCgz/7vOnItqrm9qMJfauB0aHKcu8wwgSZIkSZIkSdIgmRsRdzYYe3xmHj+h2YxDZi6NiL2BE4GXAVsBJ5SvkfwO+EhmfneUaWfXXI96/s8ocZs0OE5dZgFIkiRJkiRJktSwmDKFuY/ovWNg4pKHNrwKoNEEZ05MNq3LzBUR8VqKs3o+wcMLOEOupSgUnT3GlBvXXK9qMJX7a65njRjVByJi37J5d2Ze2ea5X0uxPV5m5jvbOfd4WQCSJEmSJEmSJA2SBO5uMHblRCbSiog4FPg8sF2l+zrgZmAa8AiKlUGPAL4GfCgiDs/MC+pMOa3m+sEGU1lTcz29wXG96AKK34/zgENGC4yIn5XNX2fmvzQw9wuAZ5bzWwCSJEmSJEmSJKnN7s7MLbqdRCsi4kiKos7Q2T7fBP41M/9aE/dUim3hngBsA5wXEYdk5k9HmLa22LVRg+nMqLle0eC4frc/RTGn0ZVSPWfK2CGSJEmSJEmSJKkTIuKRwBcYLv6ckJkvqy3+AGTmxcA+wK/LrunA1yNipK3tags3tYWdemrnmiwFoL5nAUiSJEmSJEmSpN7xDmDDsn0HMOr2Y5l5P/CmStd84KUjhN5Zcz2/wXxq42rnUY+yACRJkiRJkiRJUu84qNI+ryzwjCozfwMsqXTtP0LYnym2NBuyfYP5bFdzfXWD49RlFoAkSZIkSZIkSeodCyvtm5sYd1OlvXXtzcy8D7ix0vX4Bud9QqW9Bri2iZzURRaAJEmSJEmSJEnqHasr7UbP6QHYuNJeWSfmwkp73wbnrcZdnJkPNpGTusgCkCRJkiRJkiRJvePWSnuPRgZExCzgUZWuJXVCv1dp7xwRTx5j3m1Yfzu579UJVQ+yACRJkiRJkiRJUu/4eaX91IjYq4ExbwWmV64vqBN3LvC3yvUHxpj3vcDUsr0SOLOBXNQjLABJkiRJkiRJktQ7Tqq5/nZE7FYvOCJeBnyw0nUrcM5IsZm5CvhQpevZEfG+OvO+Cnhdpeuzmbl0lLzVYzbodgKSJEmSJEmSJPWriPgKcPgItzastA+PiMNGiDk4M6vn8pCZv4qIrwFHlV3bAJdFxDeB84BbgGnAzsCLgQOqw4G3ZWa9M4AAvgq8EDiovP5wROwPnALcDGwFvAR4QWXMFcC/jzKnepAFIEmSJEmSJEmSxm8a6xd7RjKlTky9XbreCMwEXlZeTweOKF/1PAC8NTO/PVoimbk2Il5EUUwa2l7uANYvJFX9GXhOZq4YbV71HgtAkiRJkiRJkiT1kMxcA7w8Ir4DvAPYe5TwNcB3geMy8w8Nzv/3iHgacCxwDLDlCGHLga8B7xtjRVE/WhgRoxXTxhO7sJWEJoIFIEmSJEmSJEmSxikzXw28eoLm/g7wnYjYGtgD2A6YA6wF7qFYnfObzLxvHHM/CBwXER8HngbsBMwr570BuKA8M2gQ7Qac3EBcNBHbcywASZIkSZIkSZLUwzLzNuCHEzT3g8D55UvDstsJtKojBaAmllJNiMw8rZvPlyRJkiRJkiRJPSG6nUCndGoF0Cl0t1pmAUiSJEmSJEmSpMlth24n0Emd3gKuG5W1vl+mJUmSJEmSJEmSWpOZN3Y7h07qdAFoFbC0Q8/aCtioQ8+SJEmSJEmSJEnqGZ0uAF2QmYd04kER8SPgmZ14liRJkiRJkiRJUj0R8TFgTyAz88BOPLPTBSBJkiRJkiRJkqTJ5nHA/nTw2JopnXqQJEmSJEmSJEmSOqOTBaDo4LO68TxJkiRJkiRJkqSe0JEt4DKz4yuNMvNZnX6mJEmSJEmSJElSL3ALOEmSJEmSJEmSpAFjAUiSJEmSJEmSJGnAWACSJEmSJEmSJEkaMBaAJEmSJEmSJEmSBowFIEmSJEmSJEmSpAFjAUiSJEmSJEmSJGnAbNCpB0XE2g48JjOzYz+TJEmSJEmSJElSL+pksSSALN8lSZIkSZIkSZI0QTq9BdxEFH+yfEmSJEmSJEmSJInOrgA6ss3zzQLeAizGApAkSZIkSZIkSdJDOlYAysxT2zFPRGwAvAH4V2BL1i/+3NGOZ0iSJEmSJEmSJPWzTm8B15KIeAVwNfBZiuIPFNvKrQA+BDyiS6lJkiRJkiRJkiT1jE5uATduEXEocBzwGIqCT5bvq4EvAsdl5p3dy1CSJEmSJEmSJKl39HQBKCKeCnwUeGrNrQROAz6QmTd1PDFJkiRJkiRJkqTG/R7YqJMP7MkCUETsRlH4OWSoq3L7LOA9mXlVxxOTJEmSJEmSpEluytQpbLZ4226n8TBTpvbViSeaZDLz2E4/s6cKQBGxCPgw8HKKok+18HMB8O7M/FXnM5MkSZIkSZIkSZNdRGwCvBl4JrAVcDdwPnBiZt7Wzdxq9UQBKCLmAe8DXgdMY/3Cz28pVvz8uBu5SZIkSZIkSZKkwRURGwO/AqYAdwL7ZWaOELcNRbFnx5pbewFviIjnZeYlE51vo7paACorZf8MvA3YmPULP38B3peZ3+pCapIkSZIkSZIkaXLYH9gVSOAHIxV/Sl8Hdqpzby7ww4h4dK+sBOrKpogRMT0i3gH8FfhXYFbl9q3AG4BdLf5IkiRJkiRJkqQJdlCl/d2RAiLi6cB+FEUigAuBdwAfAG4v+zYFPjghGY5DR1cARUQAR1J8INtQrPgZ+rCWAR8HTsjMVZ3MS5IkSZIkSZIkTVp7lO+rgEvrxLy60v4h8PyhlUIRcQZwOTATeFlEvDUzV09Mqo3r2AqgiPgH4I/AV4BtGd7u7X7gY8COmXm8xR9JkiRJkiRJktRBiygWq1wzyvZvz660P1KNy8xrgdPKy1nAEyciyWZ1cgu47wCPZLjw8wDwBWCnzHxPZi7vYC6SJEmSJEmSJElQbN0GcPdINyNiN2ALiiLRLZk50iqhn1fau7Q1u3Hq6BZwpaGq2BKKD+GMYme49sydmQe2azJJkiRJkiRJkjTwppfv9Vb/7FNpn18n5tZKe27LGbVBNwpAQxaVr3apnickSZIkSZIkSZLUiBXAbIpVPiPZr9K+qIH5prWcURt0cgs4KIo0E/WSJEmSJEmSJElq1s0UdYZHRsTM6o2ImAY8s9J1YZ05qqt+VrQ3vfHp5AqgUzv4LEmSJEmSJEmSpEZcCuxGsRXc64FPV+69kuEzgm7JzL/UmaN67s8t7U5wPDpWAMrMIzv1LEmSJEmSJEmSpAadCQzVMD4aEZsBFwOPAz5Q9idwxihzPLnSvqbtGY5DN88AkiRJkiRJkiRJ6qrM/HFEXAjsS3F+z79Wbg8dQXMf8JmRxpfbxh1UXq4A/jgxmTan02cAdUVE7BYR+0bEvt3ORZIkSZIkSZIk9ZyXAFdRFHyqL4A1wKsz87Y6Y18MzKRYJXRRZuYE59qQybIC6BPAwRQf/mT5mSVJkiRJkiRJUgMy8/aIeALwRuBQYFvgforzgU7IzCtHGf7O8j2A/5nQRJswmYohMXaIJEmSJEmSJEmajDJzNcU2b59pctxjJyKfVk2KLeAkSZIkSZIkSZImEwtAkiRJkiRJkiRJA2YybQEnSZIkSZIkSZLUsIjYGpgHzAGmZOaFXU6pYRaAJEmSJEmSJEmSShHxROAtwDOA+ZVbyQh1lYh4BzCrvPxEZt4/4Uk2wALQgImIDYHLgUdVum/MzEVNzBHAs4BXAE8CFgJrgSXAL4CvZ+Yv2pSyJEmSJEmSJEldFxEbA1+g+G78oe4Ghm4HHENRILoe+Hr7s2ueZwANng+wfvGnKRGxADgXOIfil/yRFJXLOcCuwOuAiyLi6xExp/V0JUmSJEmSJEnqroiYBfyc4nvxqLwacWKl/dI2pzZuFoAGSEQ8HvjnFsZvDlwAHFzpXgb8H/AbYGWl/5XA2eWKI0mSJEmSJEmS+tnXgCdQFH3WAl8CngZsCpw32sDMvBa4ohy7X0T0xO5rFoAGRPkLdRLFtn6rgIvHMc0ZwM5lex3wbmBBZu6dmXsAC4BPV+KfCpww7qQlSZIkSZIkSeqyiHgy8OLy8n7g4Mx8Y2ZenJl/b3Ca88v3mcBu7c5xPCwADY53AbuX7Q8B1zYzOCIOAQ6qdL0tMz9WPawqM5dn5jtYvwh0dEQ8enwpS5IkSZIkSZLUda8s3xM4NjPPHy24jisq7XEf09JOFoAGQEQ8Cnh/efl74JPjmOY9lfbvWH/PwpFibyvbU4Bjx/E8SZIkSZIkSZJ6wf7l+0qKrd/G47ZKe8uWsmkTC0B9LiKmUOxNuCHFtm2vzcwHm5xjPrB3pesLmZn14jNzFXBypet5ETGtmWdKkiRJkiRJktQjFlKs/rkyM9eMc44Vlfas1lNqnQWg/vcWhos3n8vMX49jjkMpDqcacnYDY86ptOcA+47juZIkSZIkSZIkdduM8v2+FubYpNJuZZ62sQDUxyJiEXBceXkT8N5xTrV7pX1jZt7awJhLgWoldPc6cZIkSZIkSZIk9bI7y/etWpjjkSPM11UWgPrbV4CNy/Y/ZuaK0YJHsWul/ZdGBmTmauDmStcu43y2JEmSJEmSJEnddD3FLlmPiohNxznHoZX2FS1n1AYWgPpURBwFPKO8PDMzG9m2rZ5FlfZNTYyrxu7QwvMBiIh3RcSdjbyAua0+T5IkSZIkSZIk4Mfl+xTgH5sdHBFPofi+PoHbM/PKNuY2bhaA+lBEzAc+WV7eA7y1xSlnV9rLmxhXjd2kblTjZgKbN/iKOnNIkiRJkiRJktSMM4AHy/Z7y4JOQyJiB+Cbla6vtDOxVkyWAtC7gKcDB3Q7kTb5ArBp2f7nzFza4nwbV9qrmhh3f6U9q8UcAFYCdzX4yjY8T5IkSZIkSZI0yWXmdcCXKRYebAT8JCLeEREb1xsTERtGxD8Cvwa2KbvvBj490fk2aoNuJ9CsiNgI2IviMKa7gV9m5r2jjcnMP3Qit06IiJcC/6+8vAA4qQ3TTqu0H6wb9XDV2OmtJpGZxwPHNxJbbgO3eavPlCRJkiRJkiQJ+CfgicCTgRnAJ4APR8SvgcVDQRFxQnm9Txk3tFvVg8BhmXlPJ5MeTU8UgCLiRRSrkRL478wccXVHWU07jvW3LFsdEZ8G3p+Zayc82S6KiM2BE8rL1cDr631WTVrJ8BZuGzUxrhq7og15SJIkSZIkSZLUcZm5KiIOpdgO7qCyeyaw31BI+f6m8j0qffcBR2TmTzuRa6O6vgVcRDwK+BbFh1q3oFEWf04E5lB8sEOvjYB/AU7tSMLd9Vlgy7L9b5l5TZvmrRZvZjQxbmadOSRJkiRJkiRJ6iuZeXdmPhP4R+D6sjvqvIZ8H9gjM7/XwVQb0gsrgA6utEcs4kTEXOCj5WVSfLjLKbYdG1pi9bKIOCszvz2BuXZNROwFvKK8vJIGt0pr0J3A/LI9f7TAGtXYO9uXjiRJkiRJkiRJ3ZGZX4yILwP7lq/HUhxJsjGwDFgKXAKcl5l/7VaeY+mFAtABlfaP6sS8hmKLsgTuAV6amT+NiOkUhaG3UxSB3g0MZAEI2LrS3g14ICLqxdbaPiKqK6s+m5lvq1xfDTxmKLaJnLarmUOSJEmSJEmSpL6XmeuAC8pXX+r6FnAMH560JDPrrSJ5caX9/qF99DLzgcx8J3BZee9xEdFMAUOFP1baj46IaWMNiIhtKSqeQ65qe1aSJEmSJEmSJGlcemEF0HyKlT03j3QzIuYATywv1wBfHyHsvyoxTwBubHOOvWA1cFcT8bOADcv2OoqVU0Nqz+u5sNKeAexBsXxtNPvVXP+8idwkSZIkSZIk9amYOoVZO2zb7TQeJqb2wnoHqXf0QgFo4/K9tigx5KkUK5US+L/MvHeEmOoKlt77N08bZOaPgC0ajY+IU4BXlZc3Z+aiUcIvpCguDa3oOZyxC0CHV9q/y8wbGs1NkiRJkiRJkqReFxEbAbsD84A5wJTMPK2rSTWhF0qiD5bvM+vc36fSvqhOTLV4NKvljCaZzFwLVH9pj4iIHerFR8RTgIMqXSdPVG6SJEmSJEmSJHVSRLwoIi4AlgMXA98HTqXOd+ER8YmIOKl8bdqpPMfSCwWgu4EAdqxz/+BK+8I6MdWiz5p2JDUJfRQYWl01EzgzIjavDYqIRcDpFH9mADcAX+pAfpIkSZIkSZIkTZiIWBAR5wNnAk8DplF8Fz70qmcl8GqKXbkOm+A0G9YLBaA/le9bR8Tu1RsRsZjiTB8oVgpdXGeOBZV2M+fkqJSZdwBvrnTtAVwREf8SEQdHxCER8RHgMoaLdWuAozLzgQ6nK0mSJEmSJElS20TEVhS7kO3L+gWfZcCqMYZ/ieIYG4CXTER+49ELBaCfVNr/GRFz4KG99T5X9idwfmbeX2eOx1fa17c/xcmh3Lvw3cC6smshxcqg84CzgX8F5pb3VgOvycyfdTpPSZIkSZIkSZLa7L+AoaNRVlB8V75tZs4Ffj7awMy8FfglRdHoKWV9o+t6oQB0GsNn+OwF3BwR/wfcDDyjEvfFUeaoxl3R3vQml8z8GPB04NJ6IcDPgD0y8/SOJSZJkiRJkiRJ0gSIiIMpvhdPimNr9srMj2fmkiamuah8nw48ts0pjssG3U4gM5dGxDuAL1N8uLOAPSkqZUNLpn6Smd8faXxE7AbsUsZek5l3T3jSfSAzX02x5+B4xl4I7Fluwfckii321gJLgEsy85Y2pSlJkiRJkiRJUrdVt207JjP/VDeyvt9X2ouBX7eWUuu6XgACyMyvRsRq4JPAPNY/TOmbwOtHGf6W8j2Acycmw8kpM68Brul2HpIkSZIkSZIkTaB9yvflFDWJ8bij0t6itXTaoycKQACZ+fWI+C+KbeC2Be4HftPAEqu/Ah8q29+ewBQlSZIkSZIkSdLg2Zpil7E/ZWaOFVzHykp7Zuspta5nCkAAmbkWuLjJMR+foHQkSZIkSZIkSdLgm16+r25hjjmV9t9bmKdtpnQ7AUmSJEmSJEmSpC66neKYmYUtzPGYSvuOulEdZAFIkiRJkiRJkiRNZn8p33eOiPnjnOP5lfZlraXTHj21BdyQiNgBOBB4EjCPYulUZOaBXU1MkiRJkiRJkiQNmnMpahIA/wS8s5nBEfFc4MkU5wjdlJnXtje98empAlBEPBr4OPAsiuVWD92i+OBGGnMp8ITy/uMz8w8TnackSZIkSZIkSRoY3wA+BMwAjomIX2Tm9xoZGBF7AqdUuk5sf3rj0zNbwEXEK4FfA8+myCsqr9F8shL3qonMUZIkSZIkSZIkDZbMvI3hWsMU4FsRcUK5W9mIImK7iDgeuADYjHL1D/D5ic+4MT1RACqXR50CbETxAa8Bfgp8BrhujOHfA+4t28+ZmAwlSZIkSZIkSdIA+zDwQ4aLQG8Cro2IvwJ7DgVFxA8i4mrgeoqt4jYqb90P/ENm3t/RrEfR9QJQRGwMfLmSy4+BR2TmQZn5DmDUvfIy84FyTFAc0LT1ROYrSZIkSZIkSZIGS2auA14CfI31dyjbHtiU4WNqDgV2Zv3dy/4GPCMzL+9Qug3pegEIOBLYiuLD+zlwaGbe3OQcl1bau7UrMUmSJEmSJEmSNDlk5urMfC1wCPCLsjvqvABWUexktntm/rKz2Y5tg24nQFEtG/LmzFw7jjn+XGnv2GI+kiRJkiRJkiRpksrMc4FzI2IRsC/wWGBzYGNgGbAUuAS4MDPv61KaY+qFAtDQip3rMvNP45xjWaU9p7V0JEmSJEmSJEnSZJeZNwA3dDmNceuFLeC2oNj+rdlt3+rphZ9JkiRJkiRJkiT1gYhYW77WRMTA7DLWC8WS+8v3jVqYY6tK++4W5pEkSZIkSZIkSZNPANdk5l+7nUi79EIBaCnFB7tzC3PsXWnf0lo6kiRJkiRJkiRpErmDYqeyv3U7kXbqhQLQr8r3zSNin2YHR8RGwMvKy7XAL9qVmCRJkiRJkiRJGni3UCxU2bTLebRVLxSA/qfS/nhENJvT8cA8iurcRZl5b9sykyRJkiRJkiRJg+6c8n23iNikq5m0US8UgL4L/Lls7wV8MyI2HmtQREyPiE8Db6p0f3QC8pMkSZIkSZIkSYPrVOABYBrwtu6m0j5dLwBl5jrgHym2bwN4IfCXiPhgROwLzByKjYjNImKviHg/cC1wDMWyrATOzMz/7Wz2kiRJkiRJkiSpn2XmdcB7KOoN74uIV3Y5pbboegEIIDPPB14LrCu7tgbeB5wPDJ0LFMCdwMXAB4BtKlP8EnhNR5KVJEmSJEmSJKlGRMyOiLdFxDkRcXNE3B8RyyLiTxHxtYh4xjjnjYh4dkScHhFXR8S95bx/jIgvRcQ+Y8+isWTmfwDvLC9PjYj/iYjnRcRm3cyrFRt0O4EhmXlqRFwPnE5R3ImhW+WLmr4hJwFvyszVHUlUkiRJkiRJkqSKiDgS+BRQWyzYCJgD7AK8JiLOAV6bmbc2OO8C4GTg4BFuzwF2BV4XEacDb87M5eP8ESa1iPhr5XINRe3k2eWLiFgO/J3hRSyjyczcqe1JjkPPFIAAMvPCiNgJOBw4AtiT4h+QWncA5wGfyszfdzBFSZIkSZIkSZIeEhEfptjRqmoJxTEm04FHA7PL/kOACyNi78y8fYx5NwcuAHaudC8DrqI4q2ZXho9QeSWwQ0Qc6GKJcVnE+gtPahelbFq+qjEjiQZiOqYntoCrysw1mXlSZu5P8YE+Fng68ByK7eB2zsytM/NVFn8kSZIkSZIkSd0SES9k/eLPX4ADMnObzNw/M/cGtqA4AuW+MmYn4LsREYzuDIaLP+uAdwMLMnPvzNwDWAB8uhL/VOCEln6gyS1GeDUSM1p8V/XUCqBamfkAcGW385AkSZIkSZIkqSoiNgA+Uem6BXhqZt5RjcvMNcBXI+Ja4H+BqRTFmsMoijwjzX0IcFCl622Z+bmaeZcD7yjrSG8vu4+OiBMy84/j/sEmpyO7ncBE6OkCkCRJkiRJkiRJPeogYIfK9bG1xZ+qzLwgIk4FXlN2fYA6BSDgPZX274ATR8njPcDLgK0pdv06luKIFTUoM0/tdg4Toee2gJMkSZIkSZIkqQ8cWGmvBr7TwJhvVNqPjIjH1gZExHxg70rXFzKz7rkymbkKOLnS9byImNZALhpwPVkAioj9I+IjEXFuRFwWEddGxHV1YreNiO0iYrtO5ylJkiRJkiRJmrQWVdrXZObqBsZcUXP9/BFiDmX982TObmDecyrtOcC+DYzRgOupLeAi4hkUh1btWnsLqFfhPBl4OpARsW9mXjKBKUqSJEmSJEmSBEWhZcjfGxyzvOb68SPE7F5p35iZtzYw76XAGmBo5c/uwE8bzEkDqmdWAEXEe4BzKYo/UfMazacqcYdPZI6SJEmSJEmSJJWqRZ9NGhwzu+b60SPEVBdI/KWRScvVRzdXunZpMB8NsJ5YARQRRwMfoVjlE8BdwPeBPwBHA7uNMvzHZfxc4NkTmqgkSZIkSZIkqdfNjYg7G4w9PjOPH+dzbqm0HxkRGzawDdzjaq53HCFmUaV9UxP53FSZb4cmxk16bTpiZjWwvDyTqSd0vQAUEZsDn6x0nQy8JTNXlvefzSgFoMxcGxHnAq8Ato2I7TPzxonMWZIkSZIkSZImrSlTmbbd4m5n8XBTpg61Ati8wVEzW3jihcAxZXtD4AXAGWOMeXnN9dSImJGZ91f6qquEareMG001ttEVSSrcQP1jaJoSEfcDlwMXAydl5p/bMe949MIWcEdT/EIn8J3MPGqo+NOEyyrt2vODJEmSJEmSJEmTR1LsGtXIq9nvoqt+BFRXGn2sXPAwooh4GnDkCLdqizUbV9rNrCapFpFmNTFOw2qPpxnPaybwFOCfgD9FxDciYtOO/hSlrq8AAp5VvifFBzIe11Xa27eWjiRJkiRJkiSpj92dmVtM9EMyc2VEfAT4TNm1HXBxRLw+M38+FBcRGwBHAJ8Fpj5sood/Tz+t0n6wiZSqsdObGKdCVNo5Qt9I6sVVrw8DHh8Re2fmsvGn17xeKAAtpviQrs7MZvYzrFpWadceoiVJkiRJkiRJUttl5mcjYi+KL/kBHglcEBG3UCxcmAY8GphT3r8P+G/gVZVpard5W8nwqqCNmkinGruiiXEaPjPpccBXgHkUf1bfA34G/Iniz2kdsBmwC/B0im3/ZgF3AK8F/gxsCexJsdprV4pi0COBU4Dnd+BneUgvbAE3tCTuby3M0QuFLEmSJEmSJEnS5PMK4DhgTaVvG2A/YG+Giz83As9m/e/C12TmfTXzVYs3M5rIo3qekQWgJmTmjRS7i50BbAGcBTwiM4/IzFMy89eZ+efM/EvZPjUzXw3sRFEkmleOnZ+ZF2XmpzJzN+Aj5SMCeG5EPKmTP1cvFIDuLd9b2ZNwQaV9VwvzSJIkSZIkSZLUsMxcl5nvBR5B8YX//1GsCFkD3A78Angr8JjMvAhYVBk+0q5Y1XOF5jeRSjX2zrpRepiImAt8k2IV1Q+BF2Tm0rHGZeYdwIuAH1AU6/6reg5UZr4fOLMy5DA6qBcKQLdRVL92iYix9tOrZ99K+4aWM5IkSZIkSZIkqQmZeVNmvi8z987MLTNzemZulZlPy8wTMnNoMcQelWG/HmGqqyvtZs68367OHBrbkcDWFMfVHJOZOUb8Q8rYY8qxW5VzVf1bpf20FvNsSi8UgH5Rvm9CsfytKRGxKcNVsweAi9uTliRJkiRJkiRJ7RMR21BsGzbklyOE/bHSfnRETGtg3m0ZPm4F4KrxZThpvah8vyozR1qVNapyzNCf2wtr7v2JYtu/ALZtJclm9UIB6KxK+5MR0cyehgBfpigeJXBuZq5qW2aSJEmSJEmSJLXPKyvtNcC3Roi5sNKewforhurZr+b6503mNdktoqgxjLnt2yjuoCjyLBrh3vXl+9wW5m9a1wtAmXkucGl5+UjgxxGxcKxxETEvIr7D+tW04yYgRUmSJEmSJEmSWhIRsynOAhpyVmbeNkLohax/1v3hDUxfjfldZt7QfIaT2qbl+5YtzLFF+T5nhHv3l+8dXcDS9QJQ6fXAfWV7b+CaiDglIo6gsmwtIh4fEYdFxEnAX4HnU1TUEvhMZv6ms2lLkiRJkiRJktSQz1KcMwOwGnj/SEGZuRY4rdJ1RETsUG/SiHgKcFCl6+QW85yMllLUGnYtt9NrSjlmN4paxe0jhMwu3+8cd4bj0BMFoMy8HHgxw0WgGRQVy5OBJ5Z9AfwG+AbwKmDjyhTfA/65E7lKkiRJkiRJkgQQEZtExIsiYuooMbPLRQ2vrnT/W2aOdk7PR4F7y/ZM4MyI2Lw2KCIWAadTfH8OcAPwpYZ/AA35VfkewGfGMf7TDP8Z/GqE+ztTFIfuGMfc47ZBJx82msw8LyL2AE4F9mT4w8ryBcOrfYburQI+mpkf6WSukiRJkiRJkiRRLFT4NnB7RPwQ+CVFEeYBYCvgacBLyvaQk4B/H23SzLwjIt5M8X05FOcAXRERJwK/pfhuf2/gjQyfK7MGOCozH2j9x5p0vk6xSAXg+RFxJvCmzBx1xU5EzAX+E/iHSvdpNTG7UGwxl8DV7Uq4ET1TAALIzD8De0XE0ylW+ezLww9MSoqVQOcCn8/MVg5lkiRJkiRJkiSpVVsCR5WvetYC/wEcm5k5ShwAmXlaRCwAjqPYzWshxcqgkawGjs7MnzWVtQDIzP+JiHOAQyhqEC8CnhUR3wV+BlwFLCvD5wC7AE8HXghswvDilR9l5tk107+g0v75RP0MI+mpAtCQzDwfOB8gImZRnAO0McUHfKcVTEmSJEmSJElSD7gP+B+KxQyz68SsBn4MvL88DqVhmfmxiLgE+CTFKqCHhVB8l/62zPxDM3PrYV4OnAc8meJz3QQ4onzVM1T4gWLhystHiDkQuA5YB5zVrmQb0fUCUERUD7r6WmYuqd7PzBXAis5mJUmSJEmSJEnS6DLzXuC55RlAjwd2pFgNNJvivJclwEVl3HifcSGwZ0QsBp4ELKBYTbQEuCQzb2ntpxBAZv49Ig6k2J7vzRTFndpjaR4KZ/1jbP4T+JfMXDnCvAdMWNJj6HoBCPggxQd0D2PseyhJkiRJkiRJUq/JzLUUK0B+M4HPuAa4ZqLmF5QFnLdFxOeA11FsCbcLIxeArgLOAb6SmX/paKIN6oUC0EpgBnBNZj7Y7WQkSZIkSZIkSdLklZnXAccCx0bExsA2wKbl7eXALeXuZT2tFwpAf6NYFue5PpIkSZIkSZIkqWdk5n3An7udx3hM6XYCwB8olk/t1O1EJEmSJEmSJEmSBkEvFIDOKN8XRMRTupqJJEmSJEmSJEnSAOiFLeC+B1wK7AGcGBH79cPeeZIkSZIkSZIkaTBFxP7AM4AnAfOAOUBk5sN2M4uIbSl2OiMzb+pclqPregEoMx+MiMOAnwK7AxdGxOsy8zfdzUySJEmSJEmSJE0mEfEM4NPArrW3gKwz7GTg6UBGxL6ZeckEptiwrheAIuKIsvk54IMURaBfRcQVwEXAdcDfgXWNzJeZp7U/S0mSJEmSJEmSNMgi4j3AhymKPdHE0E8BB5TtwwELQKVTWL9qlhQf7O7A48YxnwUgSZIkSZIkSZLUsIg4GvgIwzWKu4DvA38AjgZ2G2X4j8v4ucCzJzTRJkzpdgIV1WpaMvwhN/OSJEmSJEmSJElqWERsDnyy0nUysH1mvjYzTwCWjDY+M9cC51LUKbaNiO0nLNkm9MIKoJuov2+eJEmSJEmSJEnSRDoamE1Rq/hOZh41jjkuA15RtncFbmxTbuPW9QJQZi7qdg6SJEmSJEmSJGnSelb5nsA/jXOO6yrtnlgB1EtbwEmSJEmSJEmSJHXaYoriz9WZedM451hWac9uOaM2sAAkSZIkSZIkSZIms83L97+1MEfXd1yrZQFIkiRJkiRJkiRNZveW77NamGNBpX1XC/O0jQUgSZIkSZIkSZI0md0GBLBLRMQ459i30r6h5YzawAKQJEmSJEmSJEmazH5Rvm8CPLvZwRGxKXBYefkAcHF70mpN1/eki4iT2jDNamA5cCdwOXBpZi5vw7ySJEmSJEmSJGmwnQW8vmx/MiLOz8z7mxj/ZYriUQLnZuaqdic4Hl0vAAGvpvhQ2mlNRHwX+Ghm/qHNc3ddRMwAngY8HXgCsAuwBcWKrnuAaykqjKdl5p/GMX8AzwJeATwJWAisBZZQVEK/npm/qD+DJEmSJEmSJEn9ITPPjYhLKb4PfyTw44g4LDOXjDYuIuYBXwSeX+k+bsISbVIvFICg2FuvKuv0N3p/OvBS4B8i4h2Z+YUW8+sJEbEV8FngOcDGdcK2Ll/7AMdGxJnAmzPzzgafsQA4GTh4hNtzgF2B10XE6eW8rrSSJEmSJEmSJPW71wMXUnz3vjdwTUR8G/gZsPlQUEQ8nqJIdDDwYmAmRa0igc9k5m86nHddvVAAOrXSPoRiJctQYecm4E8U27utAzajWO2yfXk/KbZ9OwfYCNiSYkXMnPL+hsCJEXFXZn5rAn+GTtmWorBV6ybgVuB+is9mx8q9lwJPioh9M/PW0SaPiM2BC4CdK93LgKuAaRTFn5ll/yuBHSLiwMxc3fRPIkmSJEmSJElSj8jMyyPixcC3KYpAM4DDy9eQAH5Tcz20YOV7wD93INWGTel2Apl5JPBGimLNPOBB4FPAIzJzUWYekpkvy8xXlO0dgJ2ATwJrKApGGwFHZuaBFJW4lwG3UXzwAXwuImbWPruPJUUl8jXAwszcPjOfkpkHZOZOwKOBcyvxOwHfKrd2G80ZDBd/1gHvBhZk5t6ZuQewAPh0Jf6pwAmt/ziSJEmSJEmSJHVXZp4H7AFcWnYFwwtWkuGaA5X3VcD7M/NFmbmuU7k2ousFoNKJwGEU59fsm5n/nJl/rRecmddn5ruAfSlWqLwE+EJ5b11mngk8Gbi9HLIF61fp+tU64LvA4zJzv8w8eaRVPeW5P4cA1VVPTwWeV2/iiDgEOKjS9bbM/Fj1oKvMXJ6Z72D9ItDREfHo8f04kiRJkiRJkiT1jsz8c2buBRwInAbcwHAhqFoMuhT4N2DHzPxIF1IdU9cLQBGxP8VKlgTempm/anRsZv4aeCvFh35ERBxQuXcL8J5K+EH0ucz8bWa+MDP/0EBsUqysWlnpfuEoQ6qf1e8oinKjxd5WtqcAx46VjyRJkiRJkiRJ/SIzz8/MV2fmjsBsYAdgN2AbYGZmPjkzP5CZS7ua6Ch64Qygo8v3e4D/Gsf4M4DPUJwP9BqKA5mq975I8XPuPu4M+1Rm3h0RFzNc/HrUSHERMZ/iUKshXygLSPXmXRURJ1NsEQfwvIiYlplr2pG3JEmSJEmSpB42ZSpTttx+7LhOmzK12xloQGXmCmBFt/NoVtdXAFHsp5fA1ePZHy8z1wJXUawC2rPm3irgT+W9LVpPtS/dVWnPrhNzKMNL1wDObmDecyrtORTb8UmSJEmSJEmSpB7QCwWgheV7K4cjDa1WWTDCvaECyEYtzN/PFlXat9eJ2b3SvnGkc4VGcClQXfGze504SZIkSZIkSZLUYb1QAFpNsfrkURHRdD7lmF0qc9Ua2ubu7vGl178iYlvWXxX1yzqhu1baf2lk7sxcDdxc6dqlXqwkSZIkSZIkSeqsXjgD6HqK83s2B15KcW5PM15ajs1yrlpbl+93jjfBPvZuhot8Sf3PdlGlfVMT898E7Fi2d2gqM0mSJEmSJEmSOiQiTurQozIzj+rQs0bVCwWgHwJPoFgF9LmI+HNm/raRgRHxeOBzNXNV728MPIKi+NHItmYDIyIOAN5Q6fp2Zv6uTnj1bKDlTTymGrtJE+NGFBHvAt7VYPjcVp8nSZIkSZIkSZo0Xs3wcTITrScKQL2wBdwXgHsoPvi5wC8i4t8jYvt6AyJiu4g4DriYYvUQwLJyrqqDGP4Zf9XOpHtZRCwCvklRVIPi7J+3jjJk40p7VROPur/SntXEuHpmUqzmauQVdeaQJEmSJEmSJGkk0cRrrHH17vWMrq8AyszbI+L1FNuTTQE2Ao4Fjo2IG4CrKIo7AHMozpoZ2m5s6MNcC7whM2+vmf5VlfaP2p58D4qIucA5wLyyay1weGbeNsqwaZX2g008rho7vYlx9awE7mowdi499g+TJEmSJEmSJKlnndpg3CHAFgx//3wHcCXFd9erKXbD2hF4JMPfrSfwv/TYTmRdLwABZOZ/R0QAX2V4K7GgKPQsqgkf+tCHlmqtAF6bmd8eYeozgf8G1mXmL9uadA+KiFkUha5dyq6k+Gx+PMbQlQx/7hs18chq7Iomxo0oM48Hjm8kNiLupFgJJEmSJEmSJEnSqDLzyNHuR8RGwEkUiyuSomD0uXpH1kTEJsCLgfdS1DEeD3wyM3/SxrRb0gtbwAFQFnAeDZxOUUUbUm/51APAN4DdMvPMOnN+MzO/kZlnTEzWvSMiZgD/A+xZ6T4mM09uYHi1eDOjicfOrDOHJEmSJEmSJEn95AvAYRQLJp6TmUfWK/4AZOa9mXkSsCtwNsWqoe9GxG4dybYBPbECaEhm3gIcERHHAAdSFDO2AzYtQ5YDNwG/Bn6amfd0I89eU1YmzwL2q3Qfm5knNjjFncD8sj1/tMAa1dg7mxgnSZIkSZIkSVJPiIgDKY6USeCfM7PhI2Uyc1VEvBT4A8WuZl8CnjohiTappwpAQzJzGfCd8qVRRMR04LvAQZXuD5TbqTXqauAxZXv7JsZtVzOHJEmSJEmSJEn95jXl+3KKo2qakpkrI+KLwMeBvSJicWZe084Ex6NntoBT8yJiGsUZR8+udP97Zn64yan+WGk/upx3rGdvy/pn8FzV5DMlSZIkSZIkSeoFe1Cs/rkqM9eMc47fVdpPaj2l1lkA6lMRsQFwJvDcSvcnMvNfxzHdhZX2DIpf9rHsV3P983E8V5IkSZIkSZKkbltYvq9rYY6stBe0ME/b9OQWcPDQuTa7A/OAOcCUzDytq0n1iIiYCnwD+IdK92cy813jnPJC4C6GV/QcDlwyxpjDK+3fZeYN43y2JEmSJEmSJEnddD/F4ohdI2KDzHxwHHPsXmmvaktWLeq5FUAR8aKIuIBir72Lge8DpwIn14n/REScVL427VSe3RIRUyg+j5dUuk/MzLePd87MXAtUi2tHRMQOo+TwFNY/c2jEPxtJkiRJkiRJkvrAdeX7psCRzQ4uF7S8YYT5uqpnCkARsSAizqfY1uxpwDQgKq96VgKvBl4FHDbBaXZVRATwFeAVle4vAse0YfqPAveW7ZnAmRGxeW1QRCwCTmf4z+QG4EtteL4kSZIkSZIkSd3wvfI9gE9FxIGNDoyI6RQ7du1Udv0d+Gl70xufntgCLiK2Ai4CFrF+sWcZsFH5qudLwHvL9ksoCiKD6sXAayrXa4EdgR8VtaGGvCozl9Z2ZuYdEfFmitVFUJwDdEVEnAj8luJ3ZW/gjcDcMmYNcFRmPtDsDyJJkiRJkiRJUo8YWmixFTALODciTqbYfev3Iw2IiI0pjml5P8PFnwSO75XvzHuiAAT8F7ADxYezAjgOOD0zl0TEj4Bn1huYmbdGxC+BpwBPiYiNMrMn9tebADNrrqcCBzc5x4x6NzLztIhYQPH5T6E4+OqjdcJXA0dn5s+afL4kSZIkSZIkST0jM5dFxKuAs4ANKb57Pwo4KiKWAlcCdwEPAJtQ1DN2YXgnsyyn+l/g453Nvr6uF4Ai4mDg6RQf0N3Afpn5pyanuYiiADQdeCzw67YmOYlk5sci4hLgkxSrgB4WApwPvC0z/9DR5CRJkiRJkiRJmgCZ+ZOIeA7FEShbl91RtrcaYUi18BPAGcBrMnPdROfaqK4XgCi2bRtyzDiKPwDVJViLGdACUGaeApzSgedcCOwZEYuBJwELKLabWwJckpm3THQOkiRJkiRJkiR1Umb+LCJ2AT4AvArYrLxV7wyWAP4POC4zz+lAik3phQLQPuX7cuCb45zjjkp7i9bS0ZDMvAa4ptt5SJIkSZIkSZLUCZm5HHhHRLwb2B94MvAIimLQhsDfgaXA74CfZ+ZfupTqmHqhALQ1xTKpP2VmjhVcx8pKu/acHEmSJEmSJEmSpIZl5mrgvPLVl6Z0OwGKc3sAVrcwx5xK++8tzCNJkiRJkiRJktT3eqEAdDvFPnkLW5jjMZX2HXWjJEmSJEmSJEmSJoFeKAAN7Y+3c0TMH+ccz6+0L2stHUmSJEmSJEmSpP7WCwWgcyvtf2p2cEQ8l+IQpgRuysxr25WYJEmSJEmSJElSP+qFAtA3gJVl+5iI+IdGB0bEnsApla4T25iXJEmSJEmSJEkaABHxs/L1sQ4+82PlM3/aqWdWdb0AlJm3AZ+kOAdoCvCtiDghInaoNyYitouI44ELgM0oV/8An5/4jCVJkiRJkiRJUp/ZH9gPeGwHn/m48rn7d/CZD9mgGw8dwYeBxwPPpSgCvQl4U0TcCMwZCoqIHwCLgZ2Husr3+4F/yMz7O5axJEmSJEmSJElSj+r6CiCAzFwHvAT4GkVRZ+i1PbApxQofgEMpij9RGf434BmZeXmH0pUkSZIkSZIkSeppvbICiMxcDbw2Ir4DvAfYh/ULPbVWAV8CPpqZd3QgRUmSJEmSJEmS1N8eExEndepZHXrOiHqmADQkM88Fzo2IRcC+FPvxbQ5sDCwDlgKXABdm5n1dSlOSJEmSJEmSJPWfBcCrup1EJ/RcAWhIZt4A3NDlNCRJkiRJkiRJ0mAYbdexgdOzBSBJkiRJkiRJkqQ2ObXbCXSaBSBJkiRJkiRJkjTQMvPIbufQaVO6nYAkSZIkSZIkSZLaqyMrgCJiu048ByAzb+rUsyRJkiRJkiRJknpRp7aAuwHIDjwncVs7SZIkSZIkSZI0yXW6WBIdfp4kSZIkSZIkSdKk08kCUKPFn6GVQmPFV1cUWViSJEmSJEmSpE6IKazddGG3s3i48Mh7qapTBaAdGoh5HPAVYB6wBjgP+BFwJXAXsBrYBNgR2BN4CbCIohB0BvA+YG2b85YkSZIkSZIkSeo7HSkAZeaNo92PiP2BbwIbAhcBR2fmX+qEXw58NyLeA7we+BRwGLAZcGh7MpYkSZIkSZIkSepfXV8TFxFbUBR/NgJ+Dhw0SvHnIZm5LjO/ADy/7Hom8IGJylOSJEmSJEmSJKlfdL0ABBwJbEmxldvrM/OBZgZn5o8ptoAL4JiImN7+FCVJkiRJkiRJkvpHLxSAXli+X93Iyp86zirf5wAHtJ6SJEmSJEmSJElS/+qFAtD2FKt/bmthjurYRS1lI0mSJEmSJEmS1Od6oQA0p3zfqoU5qmNntzCPJEmSJEmSJElS3+uFAtBtFOf37BIRO45zjudV2ktbT0mSJEmSJEmSJKl/9UIB6JJK+4sRMbWZwRHxdODlla6L25KVJEmSJEmSJElSn+qFAtBJlfaBwLkRsaiRgRHxGuCHFD9HAhdn5rVtz1CSJEmSJEmSJE06EbF1RDwmIvaJiH27nU8zNuh2Apn5s4j4L4pVPAkcAFwdEecA5wJXAncBDwCbADsAewIvBnai2D6O8v4bO5u9JEmSJEmSJEkaJBHxROAtwDOA+ZVbyQh1lYh4BzCrvPxEZt4/4Uk2oOsFoNJRwGbAsyk+wOnA/ytf9UQZC7AKeGFm/nEik5QkSZIkSZIkSYMpIjYGvgC8otrdwNDtgGMoahbXA19vf3bN64Ut4MjM1cDzgH+lKObA8IcaNa/ae5cCe2XmjzqTrSRJkiRJkiRJGiQRMQv4OUXxp7YmMZYTK+2Xtjm1ceuJAhBAZq7NzI9SbPH2buBXFNu61QrgVuAM4JmZ+eTM/H3nMpUkSZIkSZIkSQPma8ATKGoQa4EvAU8DNgXOG21gZl4LXFGO3S8iemL3tZ5Ioiozbwc+Dnw8IqYB21JsD7ch8HdgaWbe0cUUJUmSJEmSJEnSgIiIJwMvLi/vB56TmedX7jcyzfnA44CZwG7A5e3Nsnk9VwCqysw1wF+7nYckSZIkSZIkSRpYryzfEzi2WvxpwhWV9qPogQJQz2wBJ0mSJEmSJEmS1AX7l+8rKbZ+G4/bKu0tW8qmTSwASZIkSZIkSZKkyWwhxeqfK8udycZjRaU9q/WUWmcBSJIkSZIkSZIkTWYzyvf7Wphjk0q7lXnapiNnAEXEvmXz7sy8skPP3A2YC5CZF3bimZIkSZIkSZIkqe/cCSwAtmphjkfWzNd1HSkAARdQLJ86DzikQ8/8BHBw+dxO/ZySJEmSJEmSJKm/XE+xDdyjImLTzFw2jjkOrbSvaEtWLRr0LeCifEmSJEmSJEmSJI3kx+X7FOAfmx0cEU8BnkGxIOX2Tu2ENpZBLwBJkiRJkiRJkiSN5gzgwbL93rKg05CI2AH4ZqXrK+1MrBWd3hptRkRs16lndeg5kiRJkiRJkiSpT2XmdRHxZYrVPxsBP4mI9wNfysz7RhoTERsCRwEfAuaW3XcDn+5Ayg3pdAFoX4q99CRJkiRJkiRJknrFPwFPBJ5MscDkE8CHI+LXwOKhoIg4obzep4wbOobmQeCwzLynk0mPptMFIOjcmTzZoedIkiRJkiRJkqQ+lpmrIuJQiu3gDiq7ZwL7DYWU728q36PSdx9wRGb+tBO5NqqTZwAFnSv+DD1PkiRJkiRJkiRpTJl5d2Y+k2IruKHdzKLOa8j3gT0y83sdTLUhnVoBtEOHniNJkiRJkiRJUldExCOAI4BDgG2BOcDfgKuBM4FvZebK7mWoRmTmF8szgfYtX48FNgc2BpYBS4FLgPMy86/dynMsHSkAZeaNnXiOJEmSJEmSJEmdFhFTgH8GPgxMr7m9qHw9C3hPRByemb/qaIJqWmauAy4oX32pk1vASZIkSZIkSZI0iD4JfIzh4s864ErgQmBJJW5n4PyI2LOz6WkysgAkSZIkSZIkSdI4RcTLgbdXuv4X2DkzH5OZ+1FsBfd84O7y/gzgBxGxWUcT1aRjAUiSJEmSJEmSpHGIiA2Bj1a6fgUcUj0XJgtnAQcDD5bdWwHHdixRTUoWgCRJkiRJkiRJGp/Dge0q12/IzDUjBWbmZcB/VrreEhGbTGRymtwsAEmSJEmSJEmSND4vrLQvyczLx4j/fKU9E3h22zPSiCJibYdeD46dTWdYAJIkSZIkSZIkqUkRMRM4oNJ19lhjMvMa4LpK13PbnZfqisr7RL96ggUgSZIkSZIkSZKatyswvXJ9SYPjLq60d29bNmpEo8WZrLzaEdcVG3Q7AUmSJEmSJEmS+tCuNdd/aXDctZX24oiYmplr25ST6nt6AzELgU8DW1AUi64EflS+3wWsBjYBdgT2BA4FNqYoAJ0BfLntWbfAApAkSZIkSZIkaZDMjYg7G4w9PjOPH+dzFlXaDwJ/a3DcTZX2dGABcPM4c1CDMvPno92PiMcC36Io/vwZeGMDY2YB7wP+CTgMuC8zX9eejFtnAUiSJEmSJEmS1LAkWDFlZrfTeJgc3t0rgM0bHNbKDzK70r43M9c1OG55zfUmLeSgNigLOd8B5gG/B/bPzGVjjcvMFcCxEXEVcBJwVERcnpmfn8h8G+UZQJIkSZIkSZKkQZIU23U18lrZwnM2rrRXNTHu/prrWS3koPY4HNiJ4nfn6EaKP1WZeQpwNkXx8b0R0RO1F1cASZIkSZIkSZIGyd2ZuUUHnjOt0n6wiXG1sdPbkItac1j5fn1m/macc5xJcSbQVsB+wPntSKwVPVGFkiRJkiRJkiSpz1RXD23UxLja2BVtyEWtGVr9c2MLc1TPdtqptXTawwKQJEmSJEmSJEnNqxZuZjQxrvbcIQtA3Td0ZtTcFubYdIT5uqont4CLiB2AA4EnURy6NAeIzDywq4lJkiRJkiRJklS4s9KeFRGzMrORYs78muu72piTxud2YFtgt4jYOjNvG8ccz6y072hPWq3pqQJQRDwa+DjwLIrDkh66RbH8aqQxlwJPKO8/PjP/MNF5SpIkSZIkSZImvatrrrcH/tjAuO0q7aWZeU/7UtI4/ZaiADQF+A/g5c0MjojHAK+pdF3WvtTGr2e2gIuIVwK/Bp5NkVdUXqP5ZCXuVROZ42QTEY+IiA9HxG8iYmlErIqI6yPiRxHx6oioXaooSZIkSZIkSZNFbbHn8Q2Oe0KlfVWbclFrvl5pvzQiTomI2Y0MjIgDgf8FNqRYqHJlZl4xATk2rScKQBHxXOAUisOvAlgD/BT4DHDdGMO/B9xbtp8zMRlOLhExJSKOpfgX2PuAJwJbUvwCL6JYoXUycHlEPLlbeUqSJEmSJElSt2TmjcCNla59xxoTERsC1e9UL2hzWhqHzPwu8BOGF6QcDlwbEf8REQdHxIKI2DAKsyPicRHx2oj4X+DHFEfZQFEAelPnf4KRdb0AFBEbA1+u5PJj4BGZeVBmvgO4drTxmflAOSaAnSNi64nMd5L4JPAxYHp5vQ64ErgQWFKJ2xk4PyL27Gx6kiRJkiRJktQTvl9pvygiZowR/wKgurPS99qekcbrMIqt4IaKQFsAbwV+BNwMrAQeBO4p474IPL0Svw54Q2b+ooM5j6rrBSDgSGArisrYz4FDM/PmJue4tNLerV2JTUYR8XLg7ZWu/wV2zszHZOZ+FPsgPh+4u7w/A/hBRGzW0UQlSZIkSZIkqftOZvj8+s2AY+oFRsQ04F8qXZdl5u8nMDc1oTyLaX/gKzW3os6LyvtNFLWNr058po3rhQLQoZX2mzNz7Tjm+HOlvWOL+Uxa5fLDj1a6fgUckpl/HerIwlnAwRTVTigKeMd2LFFJkiRJkiRJ6gHlWS9nVro+GBEH1cZFxFTg88BjK93vmeD01KTMXJGZr6c4z+lLwO2jhK8F/g94PbBLZp7XgRSbskG3E2B4xc51mfmncc6xrNKe01o6k9rhwHaV6zdk5pqRAjPzsoj4T4olcABviYjjMvPekeIlSZIkSZIkaUC9E9gH2IbinPtzIuJ04IcU24U9gqJI8MTKmJMy88edTlSNKVdmvRF4Y0RsR/FnuBmwIfB3YCnwh8xc1b0sx9YLBaAtKJbINbvtWz29sKqpX72w0r4kMy8fI/7zDBeAZgLPBr41AXlJkiRJkiRJUk/KzFsj4jnAucDWFN+7v7p8jeQs4A0dSU4ty8ybKLZ46zu9UCy5v3zfqIU5tqq0764bpboiYiZwQKXr7LHGZOY1wHWVrue2Oy9JkiRJkiRJ6nXlVnC7Aacw/J13rRspdl16fr2dl6R26oUVQEuBTYGdW5hj70r7lpaymbx2BaZXri9pcNzFwE5le/d2JiRJkiRJkiRJ/SIz7wKOjIhjgKcD2wKbUHwHfjXwy8zMLqaoSaYXCkC/Ah4JbB4R+2TmL5oZHBEbAS8rL9cCTY3XQ3atuf5Lg+OurbQXR8TUzFzbppwkSZIkSZIkqa+U56T/oNt5SL1QAPof4Iiy/fGIeFpmrmti/PHAPIpzhC4q/+FS8xZV2g8Cf2twXHXvw+nAAtp3npMkSZIkSZIkSRMqIo4YO6pxmXlaO+cbr14oAH0X+DOwGNgL+GZEHJmZ9402KCKmAx8H3lTp/uiEZTn4Zlfa9zZRhFtec73JeBOIiHcB72owfO54nyNJkiRJkiRJUsUpFItM2sUCEEBmrouIfwTOA6YCLwT2iYgvAz8DZg7FRsRmFNvFHQwcDSwEguIP5szM/N8Opz9INq60VzUxrvZAs1kt5DAT2LyF8ZIkSZIkSZIkjVc0EZt14nvmnKeuF4AAMvP8iHgt8FVgCrA18L7yNSSAO2uuhz7IXwKv6UCqg2xapf1gE+NqY6e3kMNK4K4GY+fS3D+MkiRJkiRJkiSN5CYaL9xMATZjeDHE0Lhbae679QnXEwUggMw8NSKuB04HtmH4y/1k+AOs9g05CXhTZq7uSKKDa2WlvVET42pjV4w3gcw8nuJMpzFFxJ24WkiSJEmSJEmS1KLMXNTsmIjYDngB8E6K3cquBl6cmcvamlwLpnQ7garMvBDYiWJ7twsptiKLymvIHcDXgcdn5tEWf9qiWriZ0cS4mTXX4y4ASZIkSZIkSZLUDzLzpsz8DPAY4CLgAOBnEbFhVxOr6JkVQEMycw3Fqp6TImI6sJhipcfGwDJgaWZe170MB1Z1e71ZETErMxsp5syvuW50CzdJkiRJkiRJkvpaZi6LiP8HXAM8Dvg48LauJlXqqRVAtTLzgcy8MjN/npnnZOYlFn8mzNU119s3OG67SntpZt7TpnwkSZIkSZIkSep55bZvX6HYyeyoiJg1+ojO6OkCkDrqjzXXj29w3BMq7avalIskSZIkSZIkSf3kkvJ9JnBgNxMZYgFIAGTmjcCNla59xxpT7mX45ErXBW1OS5IkSZIkSZKkfrC80t6ublQHWQBS1fcr7RdFxIwx4l9AUc0c8r22ZyRJkiRJkiRJUu+rHquyUdeyqNigEw+JiPd34jkAmfnhTj1rAJ0MHEOxT+FmZfvjIwVGxDTgXypdl2Xm7yc8Q0mSJEmSJEmSes+RlfbfupZFRUcKQMAHgezQsywAjVNmXhERZwKHlV0fjIjfZuZPqnERMRX4PPDYSvd7OpSmJEmSJEmSJEk9odxJ61PAAZXun3cpnfV0qgAExaqSZgwVjGrH1euv3tP4vRPYB9iGYpnaORFxOvBD4B7gEcDrgSdWxpyUmT/udKKSJEmSJEmSJLUqIo5ocsg0YC7wGOAQih21oKhR/DAzb25jeuPWqQLQhTRWnNmN4kOL8pXA9cBdwGpgE2ARMLuMH5rzMuC+9qU7eWXmrRHxHOBcYGuK35FXl6+RnAW8oSPJSZIkSZIkSZLUfqcw/gUmQ7UMgJuBN7UjoXboSAEoM/cf7X5ETAE+AuxL8WH9HPgccF5mPqywExGPAl5OcUbN7PL12sy8or2ZT07lVnC7AZ8EXgrMGCHsRuCjmfmljiYnSZIkSZIkSdLEaHYns+q4s4E3ZuaSNubTkk5uATea44B3AWuBYzLzi6MFZ+bVwPsj4j8ptiZ7EvCTiHhCZt4y4dlOApl5F3BkRBwDPB3YlmIF1lLgauCXmemWe5IkSZIkSZKkfncTza0AegC4txx3GfDdzLxqIhJrRdcLQBGxB0XxB+Dfxir+VGXm0og4BLgSmAd8mWK/PbVJZt4L/KDbeUiSJEmSJEmSNBEyc1G3c5gIU7qdAPBaiuVRK4FPNTs4M+8EvlDOcXBEbNPe9CRJkiRJkiRJkvpLLxSA9qFYWvXHzFw5zjl+Wb4H8NS2ZCVJkiRJkiRJktSnur4FHDC0YmdVC3M8UGkvbGEeSZIkSZIkSZI0iUTEvmXz7sy8cpxz7ApsAZCZF7Yrt1b0QgFoLcXKnUe2MMcuNfNJkiRJkiRJkiQ14gKKncrOAw4Z5xzHAc8r5+mF2ktPbAF3Y/m+ZUS8oNnBETEFOHqE+SRJkiRJkiRJkjolyldP6IUq1A+Bx1J8KF+IiGuaXGJ1ArB72V4F/KS96UmSJEmSJEmShqwjueP+B7udxsOsI7udgtRTemEF0BeBv1Msi5oHXBIR74mIzUcbFBH7RMQFwBvLrgS+mJn3TWSykiRJkiRJkiRJNaaX72u6mkVF11cAZeaSiHgTcBpFEWcW8G/AByLiMuBK4C7gAWATYAfgScCCmql+D7y3U3lLkiRJkiRJkiSVdirfl3c1i4quF4AAMvMbERHAl4AZZfc04Mnlq9bQHnpZti8GnpeZ9090rpIkSZIkSZIkSUMi4nBg8f9n777DJKvKxI9/XwYGZoYhZwlDFBCQpMCqgLKAoCCKWUlGzOuCAddVDKsYd91VFF0RXPwprgEMGFaCqCAqChhAckZgGPIQJry/P+5t+3ZNVfetrqqu6prv53nu0+eeOufct6rPXJh655xLkbO4us/h/N1AJIAAMvOMiPgV8CngEGAGEz8s6TbgJODzmekGj5IkSZIkSZIkqaWIOG+cl586wetjhqJY0LIFUH2kzc8mG1u3DUwCCCAzbwBeEBEbAodSrP7ZClgTWJniWUF3An8Afg6cm5lL+xSuJEmSJEmSJEmaXvalWKnTKChyEfu0OV5UxlsAfGHSkXXZQCWARmTmHRTbwZ3S71gkSZIkSZIkSdJQabX72ES7ko033u+B12bmnZMco+sGMgEkSZIkSZIkSZLUAx9oUvd+ilU81wFfqznOUuBh4A7g95n51+6E1z0mgCRJkiRJkiRJ0nIhM5dJAEXE+8vitc1en65MAEmSJEmSJEmSpOXZzRQrgAZm+7ZuMAEkSZIkSZIkSZKWW5k5r98x9ELfE0ARcX0Xh8vM3LKL40mSJEmSJEmSJE07fU8AAfMollbVFU3qsqxvZxxJkiRJkiRJkqShNAgJIGie1JlINdkzmf6SJEmSJEmSJElDaRASQMe00XYFYE1gB+AgYH2KRNAZwLndD02SJEmSJEmSJE13EXFe5TQzc78Wr3VqzNj91PcEUGaePpl+EbES8HbgQ8BLgQsz87+7GZskSZIkSZIkSRoK+9L6cTL7NqmbjIF6VM0K/Q5gsjJzUWZ+HDiaIpF1ckQ8vb9RSZIkSZIkSZKkATXe42SiC8dA6fsKoE5l5tcj4kjgQOC/gF36HJIkSZIkSZIkSRosH5jka9PWtE8Alb5JkQDaKSJ2ycw/9DsgSZIkSZIkSZI0GDKzZZJnvNems2m7BVyD6yvlnfoWhSRJkiRJkiRJ0gAYlgTQSpXyBn2LQpIkSZIkSZIkaQAMSwLoGZXyQ32LQpIkSZIkSZIkaQBM+wRQRDwReGul6sp+xSJJkiRJkiRJkjQIpm0CKCK2iIh3AxcDq5XV84EL+xeVJEmSJEmSJElS/63Y7wAi4vo2u6wErAnMGhkCyPJ4T2Yu7mJ4kiRJkiRJkiRpiE0iT9HMY8D9FAtVLgN+BfwkM5d2YexJ6XsCCJhHkbypKyrlrPz8YGZ+uVtBSZIkSZIkSZKk5cI8ijxDjNNmJB/Rqk01z3FQ+fP2iPhgZn6ps/AmZ1C2gIs2jqrHgP8F9srMD05ZtJIkSZIkSZIkaZg0Lj4ZOaqvj9emWT7jCcAXIuLrPYp5XIOwAuiYNts/DjwI3Az8xS3fJEmSJEmSJElSB0byFKsC7wPWoUjg3AxcAPyFYnu3pRSPqNkO2BfYrOx3N/BBYDGwHvBU4ACKR9oE8OKIuCEz39P7tzKq7wmgzDy93zFIkiRJkiRJkqTlU2aeHhGbAD+jSP7cALwtM384Xr+IOBj4DLAl8BbggMy8uXxtY+ArwH4USaC3R8TJmXlr797JWIOyBZwkSZIkSZIkSdKUi4gVKR43szVwJbDnRMkfgMw8B9iTYoXQ1sD/RsRK5Wu3AgcDvyubzwSO6n70rZkAkiRJkiRJkiRJy7MXU2zblsDrMnN+3Y6ZeQ/wOopVPrsDL6m8tgiobvu2bzeCravvCaCIOK88TupgjA+VY5zbzdgkSZIkSZIkSdLQO6L8eXNmXtRu57LPTeXpKxtePhd4gCJB9MRJRzgJfX8GEEXGK4FHOxhjh8o4kiRJkiRJkiRJdW1HkV+4oYMxbgA2K8f6u8zMiLiKYoXRWh2M37a+rwCSJEmSJEmSJEnqo/XLn3M6GGN2+XO9Jq890MG4kzYsCaAof7oCSJIkSZIkSZIkteM+ijzDDhGxarudyz47VcZqNJIcumcywU3WsCSA1ix/PtzXKCRJkiRJkiRJ0nTzl/LnKsDxk+h/fNk3K2NVbVa+Nn9S0U3StE8ARcRqwK4UH97f+hyOJEmSJEmSJEmaXv63Uv6XiHhT3Y4R8QbgvZWqbza8vgHwhPK0k2cMtW3FqbxYROw9zstrTfD6mKGAWcBWwDEU+/Il8PvOIpQkSZIkSZIkScuZLwNvBZ4IzAD+MyJeAZwCnJeZt1QbR8TGwDOB1wN7UeQsEvgrcGrD2IdUyr/qSfQtTGkCCLiA5s/pCeApwPkdjv+1DvtLkiRJkiRJkqTlSGYuiogXA+cC65TVe5QHEbEQuL+sX53RZ/pAkd+A4vk+L87MRQ3Dv65SPrubcU9kqhNA3RQN56dl5g/6EokkSZIkSZIkLSeWJtz2wGP9DmMZS5stPZBqysw/RcQ+wBkUj52BYkFLUOxCNqexC6N5ij8Ar8zMK5sMfVj5c2lm3tHVoCfQjwRQY+JmovpmEngIuINi27evmfyRJEmSJEmSJEmTlZlXRcRTgaMpVu48dZzmAfyOYpu40zJzSYsxb+t2nHVNaQIoM1dorIuIpRQJnZ9k5sFTGY8kSZIkSZIkSdKIzFxK8RyfUyNibYok0KbAGmWT+4Gbgd9k5vy+BFnToGwB187qH0mSJEmSJEmSpJ7KzHuAH/U7jskahATQMeXPvi2DkiRJkiRJkiRJGiZ9TwBl5un9jkGSJEmSJEmSJGmYLPNMHkmSJEmSJEmSJE1vfV8BJEmSJEmSJEmSNCgiYhVgF2A7YE1gNhB1+2fmB3sUWlumJAEUEXtXzzPzwlavdao6tiRJkiRJkiRJUh0RsQHwIeAlwJwOhlp+EkDABUCW5Wy4bvW1TjWOLUmSJEmSJEmSNK6I2AP4EbA6baz2aaJb+Y6OTXWypJMPrZ9jS5IkSZIkSZKkIRQRawI/BNZgbALnDuBWYGEfwurYVCaAxkvQmLyRJEmSJEmSJEn98E/AWhTJnwBOBj6VmTf0M6hOTUkCKDNXmMxrkiRJkiRJkiRJPfacSvm9mfmRvkXSRSZfJEmSJEmSJEnS8myL8uf9wMf6GUg3mQCSJEmSJEmSJEnLs1Uotn/7Y2Yu6Xcw3WICSJIkSZIkSZIkLc9uLX9GX6Posr4ngCLivPI4qYMxPlSOcW43Y5MkSZIkSZIkSUPvNxTJn636HUg3rdjvAIB9KZZWPdrBGDtUxpEkSZIkSZIkSarrv4GXA+tHxLMy87x+B9QNfV8BJEmSJEmSJEmS1C+ZeQHwPxSrgP4rItboa0BdMiwJoJF9+VwBJEmSJEmSJEmS2vUG4EfAdsBFEfH0PsfTsUHYAq4b1ix/PtzXKKZIRKwLPAvYG3gysDWwBrAIWAD8EbgAOC0z757kNWYDLwZeAmwLbAjcD9wCnAOcnpnXdfI+JEmSJEmSJEnqt4h4X1n8HfAUiu/Efx4RfwUuAv4GPF53vMz8YNeDnIRpnwCKiNWAXSlW//ytz+H0VETsBXwY2AeY0aTJTGAOsAlwMPChiPgI8JHMXNzGdfYAzmDZB16tVx67Ae8q/1B8IjOXtvteJEmSJEmSJEkaECcydoexpNh5bFvgiZMYb/lLAEXE3uO8vNYEr48ZCphFkaA4hiLpkcDvO4tw4D2NYuVP1RLgWuBOii39ngisW762MvABYLeIOLxOEqhM/pxP8fmOuA24DlgL2L68zkzgpPJax0/y/UiSJEmSJEmSNAiizfpWBuZRNVO9AugCmr/5oFhWdX6H43+tw/7TxWPAWRSrdC7MzAdGXoiIAPYHPkuxNRzAoRQZx/eMN2hErAmczWjyZwHwKuB7mZllmy2ALwL7lW2Oi4hLM/Prnb8tSZIkSZIkSZKm3IUMUOKmW6bzFnCNWbfTMvMHfYlk6iwEPg18LDPvatagTNT8NCL2pNibcGR52nER8R+t+pVOANYvy4uA/TNzzKqqzLw+Ig4CfgHsUVafFBHfyczHJvWuJEmSJEmSJEnqk8zct98x9MIKfbhmNByt6sc7AB4CrgHOBA7NzFdPRfD9lJknZ+ZxEyRxRtouAP6pUjUTeG6r9hExF3hzpepzjcmfytiLgGMrVZsCr5goJkmSJEmSJEmSNDWmdAVQZi6TcIqIpRRLq36SmQdPZTzLgf8DHmF0S7dtx2l7MGOf+3PyeANn5mURcTGwV1n1QuDUScYpSZIkSZIkSZK6qB8rgJpp9yFKqiEzlwD3V6pWG6f5IZXyNZl5TY1LnFMp7xcRs9uJT5IkSZIkSZIk9cYgPAPomPLnbX2NYgiVCZn1KlXjbR23c6V8Uc1L/KpSnglsB1xas68kSZIkSZIkSeqRvieAMvP0fscwxJ7P2FVev27WKCJWBLauVNVZ/QNwbcO5CSBJkiRJkiRJmiIRsQXwKuBZwBbAmsB9wK3AT4EzMvPPkxx7NvBi4CUUjxfZkGLHqVsodoc6PTOv6/AtDKyI2JXiO/Y9ga0oPttVKD7fuyi+C/858M3MXNinMMfV9wSQeqNM6ryrUnUncG6L5htRrOAZcXPNy9wOLAFmlOebtxOjJEmSJEmSJKl9EbES8DHgLSz7Pf965bEr8M6I+BTwr5n5WBvj7wGcQZH4aDb2bsC7IuJ9wCcyc+mk3sgAiogdgJOBp1WrK+X1gHWBJwFHAp+OiE8CJw3a52ACaHj9K7Bj5fwD4/wBb3w20P1NWzXIzCUR8RCwelk1t70Qx4qIdwLvrNl8rU6uJUmSJEmSJEnTUZn8+RGwX8NLVwF3UHxfuyOwEsUOUe8Ato6Iw+skKMrkz/nArEr1bcB1FN/Lbl+OOxM4iSIZcnwHb2lgRMQrgS8CK1MkfZKxyZ+/Ny1/JrAG8CHg4Ig4KDMfnIJQaxnIBFBEBMUk2pjiw1u5bt/M/GqPwpo2IuK5wHsrVecDp4zTZU7D+aNtXO4RRhNAq7bRr5nZwNodjiFJkiRJkiRJw+zTjE3+/Bh4S2b+/ZEdEbEG8D7g7WXVYRRJin8Zb+CIWBM4m9HkzwKKLea+l5lZttmCIkkyEsNxEXFpZn598m+p/yLiIOArFDteZVn9EPAz4ArgbuAxigUVWwL/AOw80h3YC/heROw3KCuBBioBFBG7AMcBh7JsUqKuKUsARcQzKDKtXZeZk0qmRMTuwDcYffbPXcArJ5hwKzWcL27jktW2M1u2qmchcE/NtmvRPPMqSZIkSZIkSUMpIrYB3lCpOgc4NDOXVNtl5n3AP0fEAorEDxSJmi9l5o3jXOIEYP2yvAjYPzN/3zD29WWy5BfAHmX1SRHxnXa2mRskEbEK8AVGkz8PUiTQvpiZLRdMlNvFfRI4gOL76r2B1wOf73XMdawwcZOpERH/AlwCvIxiJUm0OJjgtak0gyJR1YujbRGxPUVCaqT/fcCBmXn7BF0bH1C1ShuXrbZ9qI1+y8jMj2fmOnUOisyzJEmSJEmSJC1PXs3oM9mXAG9sTP40+AgwsjJoZeDdrRpGxFzgzZWqzzUmf0Zk5iLg2ErVpsArxg99oL0S2IQi+XM38LTM/M/xkj8AmfmnzHw28NmyKiiSaANhIBJAEfEWiizkiowmcu5hdCuyBG6i+NI/K12zPG4pX795KuIdRBGxFcVStHXKqoeAgzLzshrdGxM3s5q2am72OONIkiRJkiRJkrqnuvXbLzPzpvEalztDVbdme0FEzGjR/GDGfjd88gRjXwZcXKl64XjtB9xzK+W3ZOaf2+z/dopt4gCeEBE7dyWqDvU9ARQR6wAfLU8T+D6wTWauC/x8pF1mbl6u/FgN2B84szLMH4GdM3PzqYn67zFdkJnRi6OdOCJiHnAesGFZ9QhwSGb+uuYQ8xvON2zaatnrzmVsAqhxHEmSJEmSJElS98yrlK9o1ajB5ZXyusDTWrQ7pFK+JjOvqTH2OZXyfhExu2XLwbZT+XM+8K12O5ersL5cqXpyN4LqVN8TQBRL1mZTJH/OBw6rPqyqUWYuzMxzM/NlFNnO+4CDgPMiovFZNkMvIjah+Nw2Kaseo/gML6g7RmYuoFjWNmKzml0b211V95qSJEmSJEmSpLatXik/ULPP/Q3nu7Rot3OlfFHNsX9VKc8EtqvZb9CsT5Gj+Gtm5kSNW6iuGlq385A6NwgJoGdWyu9u58MtkxzPK093Bj7cvbAGX0Q8gSL5M6+sehw4PDN/OonhqpOz1Q2g0a4N51dO4rqSJEmSJEmSpHqqSZ+5Nfus1nD+pMYGEbEisHWlqs7qHxh9vtCI6ZoAGnmOUqvt8eqo9l3awThdMwgJoO3Ln3dn5u9aNYqIprFm5i+B/6V4dtBrl5dVQBGxIcW2b1uWVYuAl2TmDyc55IWV8p4RMbNGn70r5Rsn2m9SkiRJkiRJkqbAWhExv+bxzn4H26ZbK+WdWrYaq3E7si2atNmIYgXPiJtrjn07o8kTgCl9TEsX3UmRY9iugxxD9XO+s/OQOrdivwMA1qZYWtUso1idOLOAh1uM8T3gxRTL3/YBftbNAAdNRKwHnAtsU1YtBl6emWd1MOx3gfeV5TnA8xn7nKXGGGYBhzf0lyRJkiRJkjTkli5Nrl+wsN9hLGPp0r9vLhUU3zvXMd2eWXMho4mfp0fEJpl5S6vG5cKKlzZUN1s51LhKqHHbuKYyc0lEPMTo1nR1VyUNmt9RLLZYHTgK+O92OkfEysDrKlWXdi+0yRuEFUAjy6Ka3TEerJTXG2eM6gSv+/yaaSki1qZIcI0spVsCHJGZbT+YqiozLwP+UKl6zwSZzrcBa4x0B07v5PqSJEmSJEmS1CUJ3FPzGLxM1vj+p1JeEfhcq92zSu9idCHBiGZJmjkN54+2EdMjlfKqbfQbJN8rfwbwyYj4h7ody8//VGArirl3bWZe1f0Q2zcICaD7yp/NJt38SnmrccaoZmkH4uFKvRARawD/B+xYVi0FjsrMb3TpEidUyjtR3DyW2fMwIg4ATqxUfSMzL+9SDJIkSZIkSZLUiQWZuU7N4+OdXCginhERD/XiaHa9zPwNcFal6hDgexGxZbVdRKwREZ8APtJkmGY7gzUuBlhc/1MY07bOo0UG0TeBv1IkcFYDzo2If4uIDcbrFBH7A79h7CqrD/YsyjYNwhZw11Gs7tmkyWt/qpSfRZH8aObplXKrbeKGwUeAXSrnC4AjIuKImv3vzMyjWr2YmT+JiFOBV5VVrwV2iYgvUjzMa02KG8orGZ07twLH138LkiRJkiRJkjQ0ZrDs6pleOwbYtjwAngM8JyKuBO6g2MZsJ0aTOn+heCbNM8vzZtu7Na6EWqWNeKptmyauBl25ld2rKHbfWgVYGXg38M6I+ANwBcWClccpFrNsATyVZXcuOyszvzZlgU9gEBJAlwN7ARtFxFqZuaDy2oWV8qsj4t8z865q54jYFHhjpeovvQu17xr3o1wHOLCN/jfVaHNsOe6h5fnu5dHMHcBzMvP2NmKQJEmSJEmSJE1SZt5XblH2FeB5lZe2Y/TRISMuBF4B/G+l7r4mwzYmbma1EVL1e+tpmQACyMyLI+Jw4P8x+viTGcBu5dEoGs7PAl7eq/gmYxC2gLugUj6g+kJmXsnow5LWBi6KiCMiYruI2DYiXgdcRLEyBYoM3C97HO9Qy8xFmfk8ikRQq4TRI8BpwA6ZecVUxSZJkiRJkiRJgyQzL8jM6MUxwXXvzczDKBZXnEyxm9Z9FCtUbqF4ps2LgWdm5q3AZpXuzb73nd9wvmGd9x8RcxmbAGocZ1rJzB9TPILlm8CSsjpaHCOuB16VmS/IzMemMNwJDcIKoJ9QTMqVKPbJa3yezXHA+WV5C4rEQ1VQ7MsH8IFB+4C7KTOPBo6eomudUm79tifFUsL1gQcpbh7nZ+aDUxGHJEmSJEmSJKm5zPw18Ovx2kTExoxN6PymyTgLIuJuYN2yarPGNi00truqZr+BlZm3AS+NiA0pHomyJ7AVxUKUlSkSbXcBvwd+DpyXmdl8tP7qewIoM++PiI8B2wNLImJ2Zi6svH5hRLwJ+CzLZtZGPtQAPpOZJ09V3MuDctJeXB6SJEmSJEmSpOln34bzVgmjP1fa7tKiTaNdG86vrNlv4GXmHcAXy2Na6nsCCCAz3z/B61+IiN8CJ1BsE7dq+dIiii3fPp2Z5/Q2SkmSJEmSJEmSpp1XVsp/HOexHhcymgDaMyJmZubjE4y9d6V8Y2bWeQ69psggPAOolsy8NDNfmJmrAetQLFmbk5n/aPJHkiRJkiRJkqSxIuKpFIsqRpwyTvPvVspzgOdPMPYs4PAW/TUApk0CqCozF2TmnZm5ZOLWkiRJkiRJkiQtXyJiNeBLjD5W5Wrgy63aZ+ZlwB8qVe+JiJXGucTbgDVGugOnTzZW9ca0TABJkiRJkiRJkrQ8iogdI2LPCdpsCfwU2KmsWgq8JjMfnWD4EyrlnYDPRcSMJuMfAJxYqfpGZl4+UeyaWgPxDCBJkiRJkiRJklTLk4CvR8RfgR8AlwJ3ADOAjYEDKbZvW6VsP5L8+cVEA2fmTyLiVOBVZdVrgV0i4ovAtcCawCEUzxUayS/cChzfhffVUxFx3hRdKjNzvym61rhMAEmSJEmSJEmSNP08sTzGcx/whsz8RhvjHgusAxxanu9eHs3cATwnM29vY/x+2Zdiq7peiim4Rm1TkgCKiCOn4joAmfnVqbqWJEmSJEmSJElT7Frgl8AeQKtn9CwAvgm8PzPvamfwzFwEPC8iXk+xJdxmTZo9ApwJHJeZC9oZv89i4ibDY6pWAJ3G1GW9TABJkiRJkiRJkoZSZv4OeEZEzAaeCjwBWJ/i+/47gRuAizJzcYfXOaXc+m1PYNvyGg8CtwDnZ+aDnYzfBx/odwBTbaq3gOt1dm1gllZJkiRJkiRJktQrmbkQuKDH10jg4vKY1jLTBFCP3IzJGUmSJEmSJEmSpCkxJQmgzJw3FdeRJEmSJEmSJEkSrNDvACRJkiRJkiRJktRdJoAkSZIkSZIkSZKGjAkgSZIkSZIkSZKkIWMCSJIkSZIkSZIkaciYAJIkSZIkSZIkSRoyJoAkSZIkSZIkSZKGjAkgSZIkSZIkSZKkIWMCSJIkSZIkSZIkaciYAJIkSZIkSZIkSRoyJoAkSZIkSZIkSZKGjAkgSZIkSZIkSZKkIbNivwOQJEmSJEmSJEnql4g4r3L66sy8oW/BdJEJIEmSJEmSJEmStDzbF0jg1mFJ/oBbwEmSJEmSJEmSpOXbfeXPoUn+gAkgSZIkSZIkSZK0fLuj/Dmzr1F0mQkgSZIkSZIkSZK0PPslEMC2ETGj38F0y5Q8AygiNp2K6wBk5s1TdS1JkiRJkiRJkjTt/Q/wWmB14EXAN/obTndMSQIIuJHiAUq9lkzde5IkSZIkSZIkSdNcZv4yIr4KHAl8JiIuy8yr+h1Xp6Z6C7iYgkOSJEmSJEmSJKkdbwTOBtYFLomI4yNirT7H1JGpXC1jckaSJEmSJEmSJA2UiDi1LN4HPAjMBT4GfCQirgSuAx4AltYYLjPz1b2Is11TlQDafIquI0mSJEmSJEmS1I6jGfsYm6RY1LIisEN5tGP5SQBl5k1TcR1JkiRJkiRJUm8tWZpcfedD/Q5jGUuWTsVj6DXEWu1i1u7uZgMzEadyCzhJkiRJkiRJkqRBc3q/A+gFE0CSJEmSJEmSJGm5lZnH9DuGXlih3wFIkiRJkiRJkiSpu0wASZIkSZIkSZIkDZkp2QIuIjadiusAZObNU3UtSZIkSZIkSZKkQTRVzwC6EcgpuE7ic40kSZIkSZIkSVIXRMQGwLrA6sAKmXlhn0OqbaqTJTHF15MkSZIkSZIkSaotInYD3gL8I7Bh5aWmi1Ai4p+BVcvTT2TmIz0PsoapTACZ/JEkSZIkSZIkSQMpIuYAnwdeUa2u0XVT4K0UCaIbgP/pfnTtm6oE0OZTdB1JkiRJkiRJkqS2RMSqwAXALrS/oOWzFAkggJewPCWAMvOmqbiOJEmSJEmSJEnSJHwZ2LUsLwH+GzgD+CNwJnBgq46ZeW1EXA48GdgnIlbMzMU9jndCU/0MIEmSJEmSJEmSpIEREXsALypPHwGem5nnV16vM8z5FAmg2cAOwGXdjbJ9K/Q7AEmSJEmSJEmSpD56ZfkzgXdVkz9tuLxS3rbzkDpnAkiSJEmSJEmSJC3P9i1/LgROmeQYf6uU1+somi4ZyC3gImIOsBewO7AusDoQmfnqvgYmSZIkSZIkSZKGzRMoVv/8KTMXTXKMhyrlVTsPqXMDlQCKiPWBfwWOotgn7+8vUXz4yySAIuLHwDbl6/tn5vVTEKokSZIkSZIkSRoOs8qfD3cwxtxKuZNxumZgtoCLiP2AK4A3AHMokj4jx3i+DcwrjyN7F6EkSZIkSZIkSRpC88uf63cwxhObjNdXA5EAioi9gO8B6zCa8LkOOAu4fYLuXwceLcuH9SA8SZIkSZIkSZI0vG6gyE1sGxFrTHKM51TKl3ccURf0PQEUESsBX2V0idUfgb0yc+vMfEF53lJmPgScS/HL2SEi1uplvJIkSZIkSZIkaaj8tPy5AvDGdjuXi1z+keJRNXdl5p+6GNuk9T0BBLwS2JLig7kC+IfMvKTNMUbaB7BTF2OTJEmSJEmSJEnD7evA4rL83jKhU0tEbA58o1L1pW4G1olBSAAdUim/MTMn83Ckv1TKW3YYjyRJkiRJkiRJWk5k5nXAFykWmawC/F9E/HNEzGnVJyJWjog3Ar8BNi6rFwD/3ut46xqEBNCu5c9bM/PiSY5xb6W8RmfhSJIkSZIkSZKk5czxjO42Ngv4BHBnRJwH7DjSKCL+MyJ+DNwD/BewNkXiaDHw0sy8lwGxYr8DANal2P7tug7GWFwpr9RZOJIkSZIkSZIkaXmSmY9GxHMotoPbv6yeDewz0qT8+abyZ1TqHgaOzMxzpyLWugZhBdBI8qaTZNQ6lfLAZNckSZIkSZIkSdL0kJkLMvNA4I3ADWV1tDhGnAU8JTO/O4Wh1jIIK4DuAuYCW3QwxlMr5b91Fo4kSZIkSZIkSVpeZeYXIuKLwN7lsRPFVm9zgPuAO4GLgJ9k5vX9inMig5AA+j2wJbBhRDw5My9vp3NEzABeWp4m8KsuxydJkiRJkiRJkpYjmbkUuKA8pqVB2ALunEr5w5Po/05gM4rkz6WZOb8rUUmSJEmSJEmSJE1Tg5AAOhO4tSwfHBGfjogYr8OIiHgb8KFK1ce7HZwkSZIkSZIkSdJ00/cEUGY+ChzH6EOT3gb8ISKOjohNGfswJSJig4g4MiIuAT5N8R4SOD8zvz2FoUuSJEmSJEmSJA2kvieAADLzf4F/ZTTZsyPwZeAGYP+RdhHxAHAb8BVg98oQ1wEvnpJgJUmSJEmSJEnS0IiIWRGxICKWRMTdETGnzf7vLvsuiYi39yrOdg1EAgggM/8NOAJ4iCIRNHJAscIHYNVK3cjr5wJ7ZuaCqYtWkiRJkiRJkiQNiecBa5TlUzLz4Tb7nww8SpGzOLp7YXVmYBJAAJn5NWAr4MPATWV1YzIIYCnwC+CwzNzf5I8kSZIkSZIkSZqkAyrlr7fbOTMfAM4pT3eIiA27ElWHVux3AI0y827gfcD7ymcA7QSsDcwB7gPuBH6TmQ/2LcgBFhFPBC4HVq5Un56ZR7c5zmyKbfVeAmwLbAjcD9xCMZFPz8zruhGzJEmSJEmSJEl9tEv5897M/PMkx7gQOLws7wr8sOOoOjRwCaCqzLwZuLnfcUwXEREUz05aeaK2E4yzB3AGxWqsqvXKYzfgXRHxPuATmbm0k+tJkiRJkiRJktRH8ygeRXNNB2NcXSlv3lE0XTLQCSC17c3A0zoZoEz+nA/MqlTfBlwHrAVsT7F14EzgJGBd4PhOrilJkiRJkiRJUh/NKX8+1MEY1b5zOxinawbqGUCavIjYDPhIefoX4PZJjLEmcDajyZ8FwGHAJpm5T2buCGwNnFvpdlxEvGyycUuSJEmSJEmS1GcPlD/X7GCMat9HOhinawYiARQRh0XEkeUxu82+T6v03aRXMU4DXwRWpVim9lpg0STGOAFYvywvAvbPzLMzM0caZOb1wEHAJZV+J0VER9vOSZIkSZIkSZLUJ3cBAWwXEatMcozdGsbru74ngCJic+DbwFeAN2XmwjaHWB04rex/Qnejmx4i4hjggPL085l50STGmEuxhdyIz2Xm75u1zcxFwLGVqk2BV7R7TUmSJEmSJEmSBsDIgodVgBe22zkiVgCqO2Vd2o2gOtX3BBBwOEVmDeAL7XbOzHOAm8sxXtTFuKaFiNgA+FR5ejuTT4IdzNjn/pw8XuPMvAy4uFLV9h8KSZIkSZIkSZIGwI8r5Y9ExPotWzb3bmAbih26bszMv3Ytsg6s2O8AgH0q5bMmOcZZwFuBtSLiyZl5eadBTSMnM7q34Jsz84HxGo/jkEr5msy8pkafc4C9yvJ+ETF7Eiu4JEmSJEmSJE0ji5cmf7rt/n6HsYzFS3PiRlJz3wauBzYHNgbOjYiXZuafxusUEQH8C3BipfoTvQqyXYOwAuhJ5c/rMvPeSY7x2ybjDb2IeBHw/PL0O5n53Q6G27lSrruF3K8q5ZnAdh1cX5IkSZIkSZKkKZeZi4F/HjkFtgcujYhvRMThETEvImZHxAoRsWZE7BER7wSuAj5AkWtJ4PfAl/rxHpoZhBVA61F8MLd3MMZtlfIGnYUzPUTEWsBny9MHgLd0MNaKwNaVqjqrfwCubTjfjgHZ21CSJEmSJEmSpLoy83sRcQJwEkXOYiWKx86M9+iZKNtC8aiaQzJzSU8DbcMgrAAaSUJ1sj6v2nflDsaZTj5DkTwDeFdmdpJA24hiBc+Im2v2ux2oTubNO4hBkiRJkiRJkqS+ycyPAy8DHiqrovKz8aDy2o+B3TPzb1MUai2DkACaT/EBbdTBGNW+k91GbtqIiIOAV5anvwJO6XDI1RrOa23gWWYyH6pUze0kiIh4Z0TMr3MAa3VyLUmSJEmSJEmSGmXmmcA8iuf6XM3YZE/Vw8D3gX/MzIMz854pCbANg7AF3C0UCZytIuIJmXnbRB2aeFalPJn+00ZEzGU04fM48LrM7PTpZnMazh9to+8jwOpledUO45gNrN3hGJIkSZIkSZIkTVpm3gt8EPhgRKxP8fiTtSh2ILsX+Bvwx0Ha7q2ZQUgAnQfsUZaPB97eTueI2JBiSRYU25Fd2L3QJrz2M4Af9WLszGyVTPk4sElZ/mhm/qULl1up4XxxG32rbWe2bFXPQqBulnQtWmdeJUmSJEmSJEnqWGbeCdzZ7zgmYxASQN8GTijLb46ICzPzu3U6RsTKwJkUK0cSOC8za21f1iUzWHb1TM9ExN7A68vTq4CPdGnohQ3nq7TRt9r2oZataij3V/x4nbblNnCuFpIkSZIkSZIkqYm+PwMoM39PsU9eUCRUvhkRH42INcbrV66++S3wtEr1+3oVZ79FxCzgvyk+p6TY+u3xLg3fmLiZ1Ubf2eOMI0mSJEmSJEmS+mAQVgABvAHYHdiAIgn0TuCtEXEecClwF8VzaVYHtgH2AZ5Y9h1JiJyUmb+ZyqAz8wKmbhuytwFbl+UvZeYvujj2/IbzDet0Kp9HVE0ANY4jSZIkSZIkSZL6YCASQJl5e0QcTLESaOOyehZwcHk0U028nJyZ/9LDEAfBBpXy6yLidW30PSoijqqcPz8zzxo5ycwFEXE3sG5ZtVnNcRvbXdVGTJIkSZIkSZIkDaSICGB7ipzFGsDKdftm5ld7FFZbBiIBBJCZl0fELsB/Ai+mWAk0kuTJ8mfjapsbgXdn5jenJMjh9mdg37K8S80+uzacX9m1aCRJkiRJkiRJmmJlnuI44FBgziSHMQHUKDPvAV4REf8CvJRiq7ftgLUosmv3An8DLgZ+CpydmUv7FO5Uewi4p432azL6jKfHGPt8nseatL+Q0QTQnhExs8YzhvaulG/MzJvaiE+SJEmSJEmSpIFR5ibez9gFKs3kOK9ni/opN1AJoBGZeSNwUnkIyMz3Au+t2z4ibmR0i7ZvZObRE3T5LvC+sjwHeD5w5jjjzwIOb+gvSZIkSZIkSdK0ExFvAT7UUH0Pxfflq1Akdm4G5lJsCde4g9mtwEAtWFlh4iZaHmTmZcAfKlXviYiVxunyNopJDsUEP703kUmSJEmSJEmS1DsRsQ7w0fI0ge8D22TmusDPR9pl5uaZuQ6wGrA/YxdR/BHYOTM3n5qoJ9b3BFBEbFoe63Ywxjoj43QztuXQCZXyTsDnImJGY6OIOAA4sVL1jcy8vMexSZIkSZIkSZLUC68GZlMkf84HDsvMa1s1zsyFmXluZr4M2A+4DzgIOG+ChRVTqu8JIOBG4AbgtA7G+FI5xvVdiGe5lZk/AU6tVL0W+HVEvDYinhkRL4iIrwA/pHgmExTL2o6f4lAlSZIkSZIkSeqWZ1bK787M2s/xycwLgOeVpzsDH+5eWJ0ZpGcAjfdApanor8KxwDrAoeX57uXRzB3AczLz9qkITJIkSZIkSZKkHti+/Hl3Zv6uVaOIWCEzl3nOT2b+MiL+F3gx8NqIeG9mLupRrLUNwgogDZDMXJSZz6NIBN3UotkjFCu2dsjMK6YqNkmSJEmSJEmSemBtiu3frmny2pJKedY4Y3yv/Lk6sE+X4urIIK0A6sTI+1jc1ygGSGbO67D/KRHxRWBPYFtgfeBB4Bbg/Mx8sOMgJUmSJEmSJEnqvxnlz4VNXqt+F74exeNomrmlUt6sG0F1algSQJuUP01KdFG5z+HF5SFJkiRJkiRJ0jC6D1gXmNvktfmV8la0TgDNrpTX7U5YnZn2W8BFxL7AThTLs67razCSJEmSJEmSJGm6uQ4IRhebVP2pUn7WOGM8vVJ+uBtBdWpKVwBFxKnjvLzjBK+PGYpir72tgJ0r9T+fZGiSJEmSJEmSJGn5dDmwF7BRRKyVmQsqr11YKb86Iv49M++qdo6ITYE3Vqr+0rtQ65vqLeCOplip0yiAjYCjJjFmlD8fAb4wubAkSZIkSZIkSdJy6gLg2LJ8APCNkRcy88qIuBTYFVgbuCgiPgD8jiLfsTfwPmDNsst84JdTE/b4+vEMoGizvo6/Aa/KzOs7GEOSJEmSJEmSJC1/fgI8DqwEvJRKAqh0HHB+Wd4COK3h9WB08csHMvOx3oTZnqlOAJ3epO4oig/mduBnNcdZSrGH3h3A74FzM3NxVyKUJEmSJEmSJEnLjcy8PyI+BmwPLImI2Zm5sPL6hRHxJuCzFMme6oKWkcRPAJ/JzJOnKu6JTGkCKDOPaayLiJFt3/7Y7HVJkiRJkiRJkqReysz3T/D6FyLit8AJFNvErVq+tIhiy7dPZ+Y5vY2yPf3YAq6ZTrZ/kyRJkiRJkiRJ6qnMvBR4IUBErEWxZdz8zFzS18Ba6HsCKDNX6HcMkiRJkiRJkiRNJxExD9gN2L38uRuwVqXJMZl52iTHXgHYH3hxOf4mwFzgEeAu4DLgHODMzHx4EuNvBRwJHFyOvTrFI1+uAs4Evlndgm0QZeaCfscwkb4ngCRJkiRJkiRJUj0R8RzgdGDtHo2/A3AaRUKp0dzy2BI4HPhoRLwpM79Vc+wVgHcAHwRmNrw8rzyeDbwnIo7IzEsm8RbaFhGnVk4/kJk3TcV1e80EkCRJkiRJkiRJ08e69C75szNwPrBGpXox8Bfgborkz5OAOeVr6wHfjIjXZ+aXalzik8DbK+dLy7EXUCSVnlDWbw2cHxH7ZuZvJvVm2nM0kMBdmfmqKbjelHD7NUmSJEmSJEmSpqebge8C7wU6SlxExAzgfxib/PkUsEFmPjkz/zEz96BIPr0JGNmiLYD/Krd1G2/8lzM2+fMzYOvM3DEz96HYCu4wimQQwCzgexGxZifvq6YHy5/XTMG1powJIEmSJEmSJEmSpo+LKbZJWzczN8vMF2Tmv1Gs3OnEfsAOlfNPZebxmXlPtVFmPpaZJwNHVKpXBl7bauCIWBn4aKXqEuDgzLy+Mm5m5tnAARSrjgDWB941mTfTpjtGQp2Ca00ZE0CSJEmSJEmSJE0TmfnXzPxJZs7v8tB7V8pLgY9NEMd3KLZvG/H0cZofAWxaOT82Mxe1GPdS4HOVqrdExNzxYumC31Ekf7bp8XWmlAkgSZIkSZIkSZK0XqV8V2beXaPPHyvldcZpd3ilfFFmXjbBuCdXyrOBg2rE0omvlT/XiYhn9/haU8YEkCRJkiRJkiRJerBSnlmzzyqV8r3NGkTEbOBZlaofTjRoZl4NXFepOqRmPJOSmT8CfkyxCuizEbF+L683VUwASZIkSZIkSZKkSyrltSJih5YtgYiYCexVqfpFi6bbMzahdFHNeH5VKe9cs08njgR+C2wB/DYiXhgR0zqHsmK/A5AkSZIkSZIkSX13NnALsEl5/h8RcVCrZ/UAH2J027iHgc+2aLd9w/k1NeO5tlLeJiJmZOaSmn3bEhHvK4vnAtsCGwNnAvMj4tcUq5EeoHg20oQy84O9iLNdJoAkSZIkSZIkSVrOZeZjEfFS4AfAmsB+wCUR8VHgQmA+MBfYDXgbo9uyPQS8NDNvajH0vEp5MXBHzZBurpRnAhtRJKh64UQgK+dJsR3cusBzJzGeCSBJkiRJkiRJkrpsrYiYX7PtxzPz4z2NZhrJzIsiYk/gS8DewC7AN1s0X0Lx3Jz3ZOYV4wy7WqX8YGbWWkUD3N9wPrdmv8mKNutbyYmbTA0TQJIkSZIkSZKk2nJpcvedD/U7jGXk0r9/7x7A2jW7ze5NNNNXZl4dEc8H3gO8HWj1HJwLgM9OkPwBmFMpP9pGKI80nK/aRt92XcgAJW66xQSQJEmSJEmSJGmYJLCgZtuFnVwoIp4B/KiTMVrJzF4mPJqKiBWAdwDvZTThshj4C8UWcKtSPNNnVYot4vaLiF8BrxhnC7iVKuXFbYTT2HZmG33bkpn79mrsfjIBJEmSJEmSJEkaJgsyc50putYMxq5wme6+DBxdlhcDHwY+k5n3jTSIiBWBFwP/QfGMnKcBv4iIPTPz9iZjVpNsq7QRS2PbwVt2NuBaLd2SJEmSJEmSJEnLiYg4mtHkD8BLMvMD1eQPQGYuzsz/B/wDoyutNgFObjF0NXEzq42QGrfnMwHUJhNAkiRJkiRJkiRNQmZekJnRi6MPb+eESvmHmfmd8Rpn5rXARytVh0bEFk2azq+UV42Iulvbbdhwfk/Nfm2LiE3LY90OxlhnZJxuxtYJE0CSJEmSJEmSJC3HyqTFNpWq79bselZ1GGCfJm2uajjfrObY1UTKnZl5b81+k3EjcANwWgdjfKkc4/ouxNMVJoAkSZIkSZIkSVq+PaHh/Jaa/W5uON+gSZs/N5zvUnPsXSvlK2v26VSnK6+iC2N0jQkgSZIkSZIkSZKWb481nNd9Vs+chvOFjQ0y8ybgpkrV3hMNGhErA3tUqi6oGY8qTABJkiRJkiRJkrR8u73h/Ck1+zW2u61Fu7Mq5RdGxEQJphcAsyvndbek66cVy5+L+xpFhQkgSZIkSZIkSZKWY5n5N+DqStVrImK1Gl2Prw4DXNii3VfK1wHWBN7aasCIWAl4d6Xq0sy8okYs/bZJ+fPBvkZRYQJIkiRJkiRJkiR9uVJeHzgrItZs1jAiZkTEfwD7V6rPzsy7mrXPzMuBMytVJ0bE/o3tImIGcDKwU6X6PfXC75+I2Jci5gSu62swFStO3ESSJEmSJEmSJA2KiPgrsFljdcP5lyLiC419M3OVFsP+J3Ak8KTy/JnA1RFxGvArYD6wKrAzcDTwxErf+4B3ThD2ccDTgY2BVYBzIuIM4PvAvcBWwOuB3Sp9Ts3Mn04wblsi4tRxXt5xgtfHDEXxrKStKD6TET+fZGhdZwJIkiRJkiRJkqTpZeXyGM+KtJEDyMxHI+JA4IfAk8vqdSi2eTu+ZUf4G3B4Zl4zwfi3R8RzgR8DG5SxHV0ezZwNHFs3/jYczeh2dFUBbAQcNYkxR5JvjwDLJN36xS3gJEmSJEmSJEkSmXkb8FTgHcD1EzRfAHwa2CEzL6o5/uXADsBpFMmSZm4Cjs3MwzJzUZ1xJyEajlb1dQ8oEmEvzMyJPrcp4wogSZIkSZIkSZKmkcyc18OxHwc+GRGfArYGdqV4JtBciqTNPcAVwBWZuXgS498DHBMRb6XYZm6Tcuw7gauAX2dmsxU63XJ6k7qjKFYF3Q78rOY4S4GHgTuA3wPnTubz6CUTQJIkSZIkSZIkaYwyCXN1efRi/AeB7/Vi7Amue0xjXUSMbPv2x2avT1duASdJkiRJkiRJkpZ3MXGT6cUVQJIkSZIkSZIkabmVmUO5WGYo35QkSZIkSZIkSdLyzASQJEmSJEmSJEnSkDEBJEmSJEmSJEmSNGRMAEmSJEmSJEmSJA0ZE0CSJEmSJEmSJElDxgSQJEmSJEmSJEnSkDEBJEmSJEmSJEmSNGRMAEmSJEmSJEmSJA0ZE0CSJEmSJEmSJElDxgSQJEmSJEmSJEnSkDEBJEmSJEmSJEmSNGRMAEmSJEmSJEmSJA0ZE0CSJEmSJEmSJElDxgSQJEmSJEmSJEnSkDEBJEmSJEmSJEmSNGRMAEmSJEmSJEmSJA0ZE0CSJEmSJEmSJElDxgSQJEmSJEmSJEnSkDEBJEmSJEmSJEmSNGRMAEmSJEmSJEmSJA0ZE0CSJEmSJEmSJElDZsV+ByBJkiRJkiRJmj6WZrLgjgf7HcYylmb2OwRpoLgCSJIkSZIkSZIkaciYAJIkSZIkSZIkSRoyJoAkSZIkSZIkSZKGjAkgSZIkSZIkSZKkIWMCSJIkSZIkSZIkacis2O8A1LmIWAd4PnAYsDWwYfnS34DbgEuAC4BfZOZDNcecDbwYeAmwbTnm/cAtwDnA6Zl5XdfehCRJkiRJkiRJ6hoTQNNYRMwA3gx8CJjbpMlW5bEP8E7gHcAna4y7B3BG2bdqvfLYDXhXRLwP+ERmLp3se5AkSZIkSZIkSd1nAmiaioiZwHeA5zS8dBvFKp1HgHWAJwIz2xh3D+B8YFbDmNcBawHbU2wdOBM4CVgXOH5Sb0KSJEmSJEmSJPWEzwCahiIigG8zNvnzNWCHzNw4M/fKzGdl5k7AqsB+wJeAhycYd03gbEaTPwsotpXbJDP3ycwdKbaYO7fS7biIeFkX3pYkSZIkSZIkSeoSVwBNT28GnluWE3hNZp7arGFmLgLOK4+JnACsX5YXAftn5u8bxrs+Ig4CfgHsUVafFBHfyczH2nsbkiRJkiRJkiSpF1wBNM1ExIbARypVn2qV/Glz3LkUiaURn2tM/owok0rHVqo2BV7RaQySJEmSJEmSJKk7TABNP6+l2NYNii3aTuzSuAcz9rk/J4/XODMvAy6uVL2wS3FIkiRJkiRJkqQOmQCaRiJiBeA1laozMnPc5/q04ZBK+ZrMvKZGn3Mq5f0iYnaXYpEkSZIkSZIkSR0wATS9bAdsUjn/fhfH3rlSvqhmn19VyjMp4pMkSZIkSZIkSX1mAmh62aNSXgr8BiAi9ouIMyLiuoh4JCLujYi/RMQXImKfiQaNiBWBrStVdVb/AFzbcG4CSJIkSZIkSZKkAbBivwNQW3aqlP8GEBFnAi9uaLcKsAZFQub1EfEj4IjMvKfFuBtRrOAZcXPNeG4HlgAzyvPNa/aTJEmSJEmSJEk9ZAJoelmnUr4bOAt4ZnmewJ/L+nWBJwFRvnYQ8OuI2Csz5zcZd7WG8/vrBJOZSyLiIWD1smpunX6tRMQ7gXfWbL5WJ9eSJEmSJEmSJGmYmQCaXtaolJ9cKX8X+KfM/PvKnYjYFPgP4Pll1VbAGcCzm4w7p+H80TZieoTRBNCqbfRrZjawdodjSJIkSZIkSZK03DMB1IGIeAbwo16MnZnNkimrNKn7NvCizMyG/jdHxAuBbwKHl9UHRsQzM/P8hjFWajhf3Eao1bYzW7aqZyHQapu6RmsxusJJkiRJkiRJkiRVmADqzAyWXT3TSw83nD8KvKEx+TMiM5dGxBuA5zCaPHoN0JgAWthw3izR1Eq17UNt9FtGZn4c+HidthExH1cLSZIkSZIkSZLU1Ar9DkBtebDh/MeZefd4HcrXf1ip2rdJs8bEzaw2Ypo9zjiSJEmSJEmSJKkPTAB1IDMvyMzoxdHikvMbzi+tGWq13UYRsfIE425YZ9CImMvYBFDjOJIkSZIkSZIkqQ9MAE0vf2k4r/u8nMbEzFrVk8xcAFRXEm1Wc9zGdlfV7CdJkiRJkiRJknrIBND08ueG88aVPK00PtPnkQnG3qXmuLs2nF9Zs58kSZIkSZIkSeohE0DTy+8Y+xygLWr2q7Z7DLi/SZsLK+U9I2JmjXH3rpRvzMybasYjSZIkSZIkSZJ6yATQNJKZjwE/qFQdULNrtd3FmZlN2ny3Up4DPH+8ASNiFnB4i/6SJEmSJEmSJKmPTABNP1+qlJ8YEYe3bAmUr29fqTqrWbvMvAz4Q6XqPRGx0jhDvw1YY6Q7cPp4cUiSJEmSJEmSpKljAmiayczzgR9Vqr4YEbs3axsRTwG+WKm6k7EJpEYnVMo7AZ+LiBlNxj0AOLFS9Y3MvHyC0CVJkiRJkiRJ0hRZsd8BaFLeAPwa2ABYC7goIk6nSAzdDawLHAQczejveAnwisxc2GrQzPxJRJwKvKqsei2wS0R8EbgWWBM4BHhlZdxbgeO79s4kSZIkSZIkSVLHTABNQ5l5U0QcBJwDbAisBLymPJpZCByVmefWGP5YYB3g0PJ89/Jo5g7gOZl5e93YJUmSJEmSJElS77kF3DRVPrPnScApwEMtmi0BzgR2ycxv1Rx3UWY+jyIRdFOLZo8ApwE7ZOYVbYQtSZIkSZIkSZKmgCuAprHMvBc4NiLeDuwDbAasDTxAkby5MDPvn+TYp5Rbv+0JbAusDzwI3AKcn5kPduEtSJIkSZIkSZKkHjABNAQy8xHgxz0YN4GLy0OSJEmSJEmSJE0TbgEnSZIkSZIkSZI0ZEwASZIkSZIkSZIkDRkTQJIkSZIkSZIkSUPGBJAkSZIkSZIkSdKQMQEkSZIkSZIkSZI0ZEwASZIkSZIkSZIkDZkV+x2AJEmSJEmSJGn6yCVLuP+2a/odxjJyyZJ+hyANFFcASZIkSZIkSZIkDRkTQJIkSZIkSZIkSUPGBJAkSZIkSZIkSdKQMQEkSZIkSZIkSZI0ZEwASZIkSZIkSZIkDRkTQJIkSZIkSZIkSUPGBJAkSZIkSZIkSdKQMQEkSZIkSZIkSZI0ZEwASZIkSZIkSZIkDRkTQJIkSZIkSZIkSUPGBJAkSZIkSZIkSdKQMQEkSZIkSZIkSZI0ZEwASZIkSZIkSZIkDRkTQJIkSZIkSZIkSUPGBJAkSZIkSZIkSdKQMQEkSZIkSZIkSZI0ZEwASZIkSZIkSZIkDRkTQJIkSZIkSZIkSUPGBJAkSZIkSZIkSdKQMQEkSZIkSZIkSZI0ZEwASZIkSZIkSZIkDRkTQJIkSZIkSZIkSUPGBJAkSZIkSZIkSdKQMQEkSZIkSZIkSZI0ZEwASZIkSZIkSZIkDRkTQJIkSZIkSZIkSUPGBJAkSZIkSZIkSdKQWbHfAUiSJEmSJEmSpPoiYl3gWcDewJOBrYE1gEXAAuCPwAXAaZl5d80xLwD26SCsmzJzXs1rbQUcCRwMbAKsDtwBXAWcCXwzMxd2EIswASRJkiRJkiRJ0rQQEXsBH6ZI1Mxo0mQmMIciqXIw8KGI+Ajwkcxc3OPw5k/UICJWAN4BfJAi1qp55fFs4D0RcURmXtLlGJcrJoAkSZIkSZIkSZoenkax8qdqCXAtcCfFY1+eCKxbvrYy8AFgt4g4fIIk0G+AR9uI5QnADpXzr9Xo80ng7ZXzpcBfKFYtbVmOCcWKpvMjYt/M/E0bManCBJAkSZIkSZIkSdPLY8BZwBnAhZn5wMgLERHA/sBnKRIpAIdSrLp5T6sBM/Od7QQQEacxmgBaVMYyXvuXMzb58zPg9Zl5fSXuQ4FTgbWAWcD3ImK7zLy3ndhUWKHfAUiSJEmSJEmSpFoWAp8GNs3Ml2bmD6rJH4As/BTYE/hr5aXjImK9bgQREasCL6xU/WC8Zw1FxMrARytVlwAHjyR/KnGfDRwAjKxUWh94VzdiXh6ZAJIkSZIkSZIkaRrIzJMz87jMvKtG2wXAP1WqZgLP7VIoL6F41tCIr0zQ/ghg08r5sZm5qFnDzLwU+Fyl6i0RMXdSUS7nTABJkiRJkiRJkjSc/g94pHK+bZfGPaZS/hvwownaH14pX5SZl03Q/uRKeTZwUP3QNMIEkCRJkiRJkiRJQygzlwD3V6pW63TMiNgaeFql6quZuXic9rOBZ1WqfjjRNTLzauC6StUh7cYpE0CSJEmSJEmSJA2lMvlSfe7PhFvH1XBMw/lE279tT7H93IiLal7nV5XyzjX7qMIEkCRJkiRJkiRJw+n5jM0D/LqTwSJiBnBkperizLxqgm7bN5xfU/Ny11bK25TXVhtMAEmSJEmSJEmSNGQiYkXgXZWqO4FzOxz2AOAJlfNTa/SZVykvBu6oea2bK+WZwEY1+6m0Yr8DkCRJkiRJkiSpi9aKiPk12348Mz/e02j651+BHSvnH8jMxzocs7r920LgmzX6VJ879GBmLq15rfsbzufW7KeSCSBJkiRJkiRJUm25dAkP3Hp1v8NYRi5dMlIMYO2a3Wb3Jpr+iojnAu+tVJ0PnNLhmGsBh1aqvpWZD9ToOqdSfrSNSz7ScL5qG32FCSBJkiRJkiRJ0nBJYEHNtgs7uVBEPAP4USdjtJKZk0p4RMTuwDcYfQTMXcAr21h508orgJUr51+p2W+lSnlxG9drbDuzjb7CBJAkSZIkSZIkabgsyMx1puhaMxi7wqWvImJ7ioTUSEz3AQdm5u1dGL66/dv1wM9r9qsm2VZp43qNbR9qo68YzQBKkiRJkiRJkqRpKiK2An4GjCS/HgIOyszLujD2k4FdKlVfycys2b2auJnVxmUbt+czAdQmVwBJkiRJkiRJkjQJmXkBxTOH+ioi5gHnARuWVY8Ah2Tmr7t0ierqn6XA6W30nV8prxoRq2ZmnWTOhg3n97RxTeEKIEmSJEmSJEmSpq2I2AQ4H9ikrHoMOKxMTnVj/JkUz/8Z8bPMvKWNIa5qON+sZr9NK+U7M/PeNq4pTABJkiRJkiRJkjQtRcQTKJI/88qqx4HDM/OnXbzMIYxuKwdwapv9/9xwvkvTVsvatVK+ss1rChNAkiRJkiRJkiRNOxGxIcW2b1uWVYuAl2TmD7t8qer2b/cCZ7XTOTNvAm6qVO09UZ+IWBnYo1J1QTvXVMEEkCRJkiRJkiRJ00hErAecC2xTVi0GXp6ZZ3X5OhsCz65U/b/MfGwSQ51VKb8wImZN0P4FwOzK+Xcncc3lngkgSZIkSZIkSZKmiYhYG/gZsF1ZtQQ4IjO/1YPLHQnMqJx/ZZLjfAXIsrwm8NZWDSNiJeDdlapLM/OKSV53uWYCSJIkSZIkSZKkaSAi1gD+D9ixrFoKHJWZ3+jRJY+ulK/IzEsnM0hmXg6cWak6MSL2b2wXETOAk4GdKtXvmcw1BSv2OwBJkiRJkiRJklTLR4BdKucLgCMi4oia/e/MzKPqNIyIvYBtK1Wn1rxGK8cBTwc2BlYBzomIM4DvUzxbaCvg9cBu1Wtm5k87vO5yywSQJEmSJEmSJEnTw+yG83WAA9vof1MbbY+plB8HvtZG32Vk5u0R8Vzgx8AGFPmJoxm7yqjqbODYTq65vHMLOEmSJEmSJEmS9HcRMQt4SaXq+5k5v9Nxy63gdgBOAx5p0ewm4NjMPCwzF3V6zeWZK4AkSZIkSZIkSZoGMvNoWq+Y6eZ1HgFW79HY9wDHRMRbgWcCmwBzgTuBq4BfZ2b24trLGxNAkiRJkiRJkiRpSmXmg8D3+h3HMHMLOEmSJEmSJEmSpCFjAkiSJEmSJEmSJGnImACSJEmSJEmSJEkaMj4DaBqLiC2Bo4CnA9sBawAB3EvxsKxfAqdn5rWTGHs28GLgJcC2wIbA/cAtwDnluNd1/i4kSZIkSZIkSVK3mQCahiJiFeDjwJtovoprg/LYF/iXiPg88I7MXFhz/D2AM4CtGl5arzx2A94VEe8DPpGZSyfzPiRJkiRJkiRJUm+YAJpmImIl4HvA/g0v3QLcUJa3ADYe6QK8Edg2Ig7KzMcnGH8P4HxgVqX6NuA6YC1ge4qk00zgJGBd4PjJvh9JkiRJkiRJktR9PgNo+vlnxiZ/fgfsnpmbZuY+5bEJsBdweaXds4B3jjdwRKwJnM1o8mcBcBiwSTnujsDWwLmVbsdFxMs6eUOSJEmSJEmSJKm7TABNIxERwFsqVTcA+2XmpY1tM/PXFFvA3VypflNEjPc7PwFYvywvAvbPzLMzMyvjXg8cBFxS6XdSRKzcznuRJEmSJEmSJEm9YwJoetkSeELl/HOZ+UCrxpl5H/DZStUG5RjLiIi5wJsbxv59i3EXAcdWqjYFXjFu5JIkSZIkSZIkacqYAJpe1ms4/1ONPn9sOF+nRbuDGfvcn5PHGzQzLwMurlS9sEYskiRJkiRJkiRpCpgAml4ebDifWaPPKg3n97Zod0ilfE1mXlNj7HMq5f0iYnaNPpIkSZIkSZIkqcdMAE0vVwLVLd/2qdGn2uYu4OoW7XaulC+qGc+vKuWZwHY1+0mSJEmSJEmSpB4yATSNZOZi4JRK1bERsVOr9hGxK/D6StUnMnNpk3YrAltXquqs/gG4tuHcBJAkSZIkSZIkSQNgxX4HoLadCOwOPBOYA/wyIj4GfAe4HghgC+BFwDsZfa7PfwOfbjHmRozdTu7mmrHcDiwBZpTnm9fs11REvJMi5jrW6uRakiRJkiRJkiQNMxNA00xmLoyIA4GTgNcBc4EPl0czVwOfyswvjjPsag3n99eMZUlEPASsXlbNrdNvHLOBtTscQ5IkSZIkSZKk5Z4JoGkoMxdFxPEUz+r5LLBBi6Z3Ap8DvjHBkHMazh9tI5xHGE0ArdpGv2YWAvfUbLsWxWonSZIkSZIkSZLUwARQByLiGcCPejF2ZrZMpkTEnhRbuj2pUn0LcCOQFFuxbQKsD3wGODEiXp+Z/9tiyJUazhe3EWq17cyWrWrIzI8DH6/TNiLm42ohSZIkSZIkSZKaMgHUmRksu3qmp8rt384GVi6rfgYcn5mXN7TbCfgU8I/AmsCZETErM7/aZNiFDeertBFSte1DbfSTJEmSJEmSJEk9skK/A1B9EbE28DVGkz9nAQc2Jn8AMvMK4MCyDRTbpZ0cEU9oMnRj4mZWG2HNHmccSZIkSZIkSZLUByaAOpCZF2Rm9OJoccnXMbrt2SLgTZm5dJz4lgJvKttCsVrpdU2azm8437DO+4+IuYxNADWOI0mSJEmSJEmS+sAE0PSyf6V8SWbePlGHss1vKlX7NmmzALi7UrVZzXga211Vs58kSZIkSZIkSeohE0DTS3X7tlva6HdzpbxBizZ/rpR3qTnurg3nV9aOSJIkSZIkSZIk9cyK/Q5AbXmsUm7nOT1zKuWFLdpcyOjqoD0jYmZmPj7BuHtXyjdm5k1txNSpNQFY8hiL/vj/pvCyYy3484y+XVtj3TvD38UguTla7WSpqRYr+LsYJBf4+xgYM/xdDJQV/H0MDH8Vg2UF/IUMiiD7HYJGtN4JX/2wdEm/IxgI99z/4HxgQWZu0+9Ypkyfv5NracljE7eRliMmgKaX24Edy/LuERGZOe7/hUZEALtXqm5r0fS7wPvK8hzg+cCZ44w7Czi8of9UGv2bUB9v7On/5wyMXDRxG00d/0omNeetSpIkSRpKa0/cZAiZbJEGngmg6eXnwIFleWPgxYyTpCm9HNiocn5Bs0aZeVlE/IHR7d/eExHfyWz5tfrbgDVGugOnTxBHty2mmL8J3DvF19ZYa1Ek5BJY0OdYpBHOSw0i56UGjXNSg8h5qUHkvNQgcl4OnuXl9zBd3ud0iVPqqZhgAYkGSERsClwNrFxWPQAcmpk/b9H+WcBZwNyyaiGwdWbe3qL9gcCPK1VfAt6QOXadS0QcAHyvEsfXM/Plbb8hDYWImE/xL13uycx1+h2PBM5LDSbnpQaNc1KDyHmpQeS81CByXkqS6nAF0DSSmTdHxIeBD5VVqwHnRcTZwPeBG8r6zYFDy2OFyhDvb5X8Kcf/SUScCryqrHotsEtEfBG4luK5O4cAr2R07twKHN/pe5MkSZIkSZIkSd1jAmiaycwPR8QawD9TLPVdgeJ5Pc8frxvwkcz8ZI1LHAusQ5E8guL5Qbu3aHsH8JzxkkqSJEmSJEmSJGnqrTBxEw2azDwe2A/4CUVyp5WlwDnA3pn53ppjL8rM51Ekgm5q0ewR4DRgh8y8om7ckiRJkiRJkiRpargCaJrKzPOB8yNiLeApwBbAGhQJofsptmz7bWbeN8nxTym3ftsT2BZYH3gQuAU4PzMf7PQ9SJIkSZIkSZKk3jABNM1l5gKKlUC9GDuBi8tDkiRJkiRJkiRNE24BJ0mSJEmSJEmSNGRMAEmSJEmSJEmSJA0ZE0CSJEmSJEmSJElDxgSQJEmSJEmSJEnSkFmx3wFImvY+DswGFvY7EKnCealB5LzUoHFOahA5LzWInJcaRM5LSdKEIjP7HYMkSZIkSZIkSZK6yC3gJEmSJEmSJEmShowJIEmSJEmSJEmSpCFjAkiSJEmSJEmSJGnImACSJEmSJEmSJEkaMiaAJEmSJEmSJEmShowJIEmSJEmSJEmSpCFjAkiSJEmSJEmSJGnImACSJEmSJEmSJEkaMiaAJEmSJEmSJEmShowJIEmSJEmSJEmSpCFjAkiSJEmSJEmSJGnImACSJEmSJEmSJEkaMiaAJEmSJEmSJEmShowJIEkARMS6EfGSiPhcRPwyIu6MiMci4qGIuDkifhgR74iIddsc98aIyDaPqyYR/1YR8cGI+F0Z+6MRcUNE/Cgijo6I2e2Oqf7r1bxsuMbsco78qJwzj5bX+V05p7bsYGzn5ZCKiHkRcXhEfDQifhoR9zTcx46exJjeLzVpvZiTDeN7r1RPRMSJk7j3ZUTs2eZ1ejaHNZy8N6lXImLfSd733t3GNSIiDoqIMyLiqoh4MCLui4g/R8QpEfH0Xr5HSdLgiMzsdwyS+igi9gI+DOwDzKjR5THgI8BHMnNxjfFvBDZrM6y/Zua2dRpGxArAO4APAjPHaXoNcERmXtJmLOqDXs/LynX2AM4Athqn2ePA+4BPZObSmuM6L4dURDwHOB1Ye4Kmx2TmaW2OfSPeL9WmXs7JyjW8V6pnIuJE4P2T6LpXZv665jV6Moc1nLw3qdciYl/g/El0PSEzT6ox/kbAV4ADJmh6BvDmzLx/ErFIkqaJFfsdgKS+exrwrIa6JcC1wJ0UKwWfCIyssFgZ+ACwW0Qc3s6X7cCfgNtqtLuljTE/Cby9cr4U+AuwANgSeEJZvzVwfkTsm5m/aWN89UfP52X5ZdD5wKxK9W3AdcBawPbldWYCJ5XXOr5m/M7L4bUuE3/R3g3eL1VXT+ek90pNsXuBur/j++o06vEc1nDy3qSp9pOa7a6fqEFErA1cQDE/R9wHXAmsRHHPG1m99kpg84jYLzMfqxusJGl6MQEkacRjwFkU/wrowsx8YOSFiAhgf+CzjP6P5KEU/yruPW1c41OT/dfHzUTEyxn7l7OfAa/PzOvL16OM81SKv+DPAr4XEdtl5r3dikM91ZN5GRFrAmcz+mXQAuBVwPeyXBobEVsAXwT2K9scFxGXZubXJxjbebn8uBm4tDxup/iddov3S01GV+ek90r1wRWZ+exuDdbLOazh5L1J/dDN+x7wdUb/brQU+BfgM5n5CEBErE6x6nJknj8N+E/g9V2MQZI0QHwGkKSFwKeBTTPzpZn5g+qX7ABZ+CmwJ/DXykvHRcR6Uxjr30XEysBHK1WXAAeP/OUM/h732RRL30dWhKwPvGvKAtVk9XpenkAxFwAWAftn5tkjXwaV418PHEQxt0acVM69ppyXy4WLgWcD62bmZpn5gsz8Nya3jceUcF4OvV7OSe+Vmu56Moc1nLw3abqLiIMp/oHciH/KzJNGkj8AmXl/Zv4z8O+Vdq+JiCdNVZySpKllAkhazmXmyZl5XGbeVaPtAuCfKlUzgef2KrYJHAFsWjk/NjMXNWuYmZcCn6tUvSUi5vYyOHWml/Oy/N2/uVL1ucz8fYuxFwHHVqo2BV4xTjjOyyGXmX/NzJ9k5vx+x9IG5+UQ69Wc9F6p6a7Hc1jDyXuTprvqLgh/oNgpYby2fyvLK2ASU5KGlgkgSe36P+CRynmth4/3wOGV8kWZedkE7U+ulGdT/EtPDY925uXBjH0OwMmtGgKUc+viStULx2nuvNQgcl5qMrxXarrr5RzWcPLepGkrIjYE/qFS9fnqasdGmfko8JVK1aERsVKv4pMk9Y8JIEltycwlwP2VqtWmOoaImA08q1L1w4n6ZObVFA/7HXFIt+NS/7Q5L6u/+2sy85oalzinUt6vnINjOC81iJyX6oD3Sk13PZnDGk7emzQEngNE5XzCOczYe97qwN5djUiSNBBMAElqS/mXo+rzVSbcoqsHtqfY5mvERTX7/apS3rlr0ajv2pyXO1fKk5k7M4HtmrRxXmoQOS81WTtXyt4rNR3tXCl3cw5rOHlv0nS3c6V8U2beXqPPbymej9ZsDEnSkDABJKldz2fsvePXbfQ9MiIujoj5EfF4RNwdEVdExBci4jkRERMPARR/Qauq8y86Aa6tlLeJiBk1+2nw1ZqXEbEisHWlajJzB1p/qVnlvFQnvF+qb7xXqo+2iIizI+KWiHg0Ih6IiBsi4qyIeGtErFFnkB7PYQ0n703qm4j4akRcHREPRcTCiLg1Is6PiBMjYsuaw1TncK35m5mPAbdUqrznSdIQMgEkqbbyL9PVh0PeCZzbxhDPBPYE1gZWAtYBdgReD/wA+GNEPLXGOPMq5cXAHTWvf3OlPBPYqGY/DbA25+VGjP3XnTe3aNfodmBJ5XzzJm3mVcrOS3XK+6X6yXul+mUT4FBgY2BlYC7FnHke8Bng5oh4V40keC/nsIbTvErZe5Om2hEUSes5FM8uewKwL/B+4K8RcVpEzJ1gjHmVct17XmNb73mSNIRMAElqx79SfAE54gPlvxqq60Hg98B5FA/Z/VvD608CfhkRL51gnOrzXR7MzKU1r39/w/lE/xOt6aGdedn4bKDGOdFU+YyhhypVzeaO81Ld5P1S/eS9Uv2yBLga+AVwAXAlUJ0jc4GTgG9PsNKil3NYw8l7k/rpVoptB88F/gA8WnltBnAU8LuI2GCcMapzuNY9r0lb568kDSETQJJqiYjnAu+tVJ0PnFKj603AiRT7Ca+embtl5n6Z+Q+ZuSGwE/D1SvuVgNMiYo9xxpxTKT/astWyHmk4X7WNvhpAk5iXcxrOJzt/ms0d56U65f1Sg8J7pabSo8AZwCHAapn5xMzcOzOfmZnbU6yEPA54oNLn+cCnxhmzl3NYw8l7k6ZSUvy95Whg/czcJDOflpn/mJm7AqsDLwL+WumzDfD9iFipxZjdmMPOX0kaQiv2OwBJY0XEM4Af9WLszJzU/9BFxO7ANxhNGt8FvLLOv4zLzH0meP2PwMsj4hfAyWX1yhTbfOzZolv1f3oXTxTDOG1nNm2lZQzRvGz8C9Nk50+zueO8nGKDOC87vKb3y2luiOak98rlVD/mcGaeNEG/+4BPR8TZwIWMbrH1loj4Umb+uUm3Xs5hDSfvTZoymflz4FnjvP448K2I+DFwFrBf+dLuwKuBLzTp1o057PyVpCFkAkgaPDNY9l8t9k1EbE/xRcBITPcBB2bm7d28TmZ+PiJ2o/gfWoA9ImKPzLykSfOFlfIqbVymse1DTVupmWGZlwsbzic7f5rNHefl1BuoeTlVvF8OtGGZk94rl18DO4cz87qIeAnF9nBQ/AOQNwNvaNK8l3NYw8l7kwZOZj4UES8ErqF4HiTA22ieAFrI6BZu3vMkSX/nFnCSWoqIrYCfMfo/mw8BB2XmZT265Ecazg9s0a76P6az2hh/9jjjaJrocF42/s4nO3+azR3npaaS90v1kvdKDaTM/CWjCSCod++D7s5hDSfvTRpI5SrIz1eqto2ITZs07cYcdv5K0hByBZA0YDLzAiD6HUdEzKN4+PiGZdUjwCGZ+eteXTMzr4+Im4DNyqptWjSdXymvGhGrZmad/1ndsOH8nnZjXF4N0byc33DeOCdaXXcuY/9y1DhOY53zcgoMyrzsB++Xg2mI5qT3yuXUNJnD5wHPKMubR8RKmbmooU0v57CGk/cmDbLzgH+tnG8D3NzQZj6j87HWPa9JW+95kjSEXAEkaRkRsQnFQyk3KaseAw4rvxTotTsq5XVatLmq4Xyzpq2WVf2XUndm5r21o1LfdWNeZuYC4O5KVd2509iucQ42q3Neqte8X6onvFdqwN3RcL52Y4Mez2ENJ+9NGmSN971m/99XncN15y+MncPe8yRpCJkAkjRGRDyB4kv2eWXV48DhmfnTKQqhulz9kRZtGh/2u0vNsXetlK+sHZH6rsvzsjp/JjN3oPn8cV5qqnm/VC95r9SgatzaqM79r5tzWMPJe5MGWZ37XnUOPykiVppo0PIf2FWT6M5hSRpCJoAk/V1EbEixvHzLsmoR8JLM/OEUXX8msFWl6s5m7TLzJuCmStXeNcZeGdijUnXBJEJUH/RgXl5YKe9ZzruJVOfYjeUcHMN5qank/VJTwHulBtX2lfKjmXl/i3Y9mcMaTt6bNOC2bzhv9v991XveLOApNcbdp+H85+0EJUmaHkwASQIgItYDzmX0ORKLgZdn5llTGMahwJzK+S/HaXtWpfzCiJjoQZcvYOye7t9tLzT1Q4/mZfV3Pwd4/gQxzAIOb9G/0VmVsvNSveT9Ur3mvVIDJyJmA8+rVP1qnOa9nMMaTmdVyt6bNEheXikvBP7QpM2FjH0G1RE1xq22+UNm3th+aJKkQWcCSBIRsTbwM2C7smoJcERmfmuKY/hYpeoR4MfjdPkKkGV5TeCt44y9EvDuStWlmXnFJEPVFOnVvMzMyxj7l6b3TLBFwtuANUa6A6eP09Z5qZ7zfqmp4L1SA+qjwHqV8++0atjjOazh5L1JAyciXgA8p1L1w8x8rLFdZi4BvlqpOjIiNh9n3L2A/StVX+k0VknSYDIBJC3nImIN4P+AHcuqpcBRmfmNLoz97YjYLyJignbbUGzxtUWl+t8zc36rPpl5OXBmperEiNi/sV1EzABOBnaqVL+nTvzqn17Oy9IJlfJOwOfKudIYxwHAiZWqb5RzrynnpSbL+6UGlPdK9VREvCMi3hYRcydot3JE/Adjv5C/EfjvCS7Rkzms4eS9SVMhIg6IiE9HxKY12h4NnFGpWgK8f5wuHwUeLMuzgTPLfzjUOO68ctyR/++8EThlongkSdNTZObErSQNrYg4GXhDpWo+cGkbQ9yZmUe1GPs+YHXgVuBHFP8K8ybgAYp9iedR/Kuj5wMrVrr+HDiw2b9sahh/I+ASYOOyajHF/8h+H7iX4vkYrwd2q3Q7NTNfXfvdqS96OS8r1/gy8KpK1e+ALwLXUvyrz0OAVzI6N28F9sjM2ycY13k55CLir8BmjdVA9fkSiyn+kj5GZq7SYsz78H6pSerFnKyM7b1SPVMmdd4GPErxDz8uoXgI+b0U83U9YE/gFcAGla4PA/tm5u9qXKMnc1jDyXuTei0iDqPYLjCBiyn+X+5PwN0Uq7rXAHYGXsTYJCPAGzLzCxOMfyRjVzDeBnwW+D3Ffe4fKP6etVb5+iLg2Zl53iTfkiRpwJkAkpZzEXEaMO4X5RO4KTPntRj7PoovNNvxv8Brx3mgb+M1nkyx9dEGE7UFzgZelJmL2oxJU6yX87JyjZWAb1E8S2Uid1D8xajW1h7Oy+EWETey7JfttWRm0xU+3i/ViV7MycrY3ivVM5UEUDtupHge4MU1r9GzOazh5L1JvVRJALXjYeCfMnOiVY8j13g38G9MvOvPY8BrMvOMCdpJkqYxt4CT1EunUPwry4n+QrSU4l99HpKZL677ZSb8fauGHYDTKP7FVDM3Acdm5mH+5UwjMnNRZj4POJZijjTzCMXc2qGdL4Ocl5oE75caSN4r1WM/A84BFtRoeyPFM1eeXDf5A72dwxpO3pvUY1cB36D1/ajqforVOzvWTf4AZOZJwDOB37ZqQrGl8FNM/kjS8HMFkKSei4hZFMvYNwLWplhuvhS4D7geuCQzH2zVv43rzKX4H91NgLnAnRT/g/3r9GancZTPXdkT2BZYn2Lv7FuA8zudm85LtcP7pQaZ90r1Sjm3nghsCaxDcf9bhWIbzDuB32XmDV26Tk/msIaT9yb1UkRsSPHM05H73moUq33uAa4A/pSZy2zf2uY1tgF2p/h/yyUUW8JdlJm3djKuJGn6MAEkSZIkSZIkSZI0ZNwCTpIkSZIkSZIkaciYAJIkSZIkSZIkSRoyJoAkSZIkSZIkSZKGjAkgSZIkSZIkSZKkIWMCSJIkSZIkSZIkaciYAJIkSZIkSZIkSRoyJoAkSZIkSZIkSZKGjAkgSZIkSZIkSZKkIWMCSJIkSZIkSZIkaciYAJIkSZIkSZIkSRoyJoAkSZIkSZIkSZKGjAkgSZIkSZIkSZKkIWMCSJIkSZIkSZIkaciYAJIkSZIkSZIkSRoyJoAkSZIkSZIkSZKGjAkgSZIkSZIkSZKkIWMCSJIkSZIkSZIkaciYAJIkSZIkSZIkSRoyJoAkSZIkSZIkSZKGjAkgSZKkNkTEvIjIyjGvk3aTuP6NlTGP7saYw255+swi4rTKez2t3/GMp+HPR+NxdA+vtW83x5a6aSr/XEiSJGn4mQCSJEmSJKmmiDhxgkTNRMeN/X4PkiRJWj6s2O8AJEnS8ClXHhxVnp6emUf3LxqpnvJL2c3K02My87T+RbPc+S2woHJ+W78CkfrsJw3n+wCr9CMQSZIkTX8mgCRJkiT12zsz84J+ByFNUmPSZiJ3tnohM59dPW9ITEuSJEltMQEkSZKkoZaZ8/odg6Th1Zi0kSRJkgaFzwCSJEmSJEmSJEkaMiaAJEmSJEmSJEmShowJIEmS1DURkRGRwFGV6qNG6psc8yYYb7eI+EhE/DoibouIxyLi4Yi4ISJ+EBHviIgtasY2KyKOjohvRsS1EfFARCyMiJsi4rsR8aqImNnB2x9YEfGEiHhPRFxY+RzviYg/RcTnImKfmuPMa/b7i4g5EfH6iPh5RNxejn9H+Tt6aUREm/FuEREfi4g/RsT9EfFgRPwlIk6JiN0q7S6oxHLiOOPdWGl3dMNr+1bmbfU5G19pMWdvbNW/HKPO+5tMnzUj4t0R8Zvyd7cwIq6JiP8XEf9YZ4wJxj8oIr5Qzon55e/w9vIzfndErNPpNXohInaPiC+Wn8XCMvbfR8QHI2LTDsdeIyLeGBHfL+85D0fEQxFxXfm5v2gSc3tuRBwXERdFxN0R8UhEXF/egw4dGS8iTqzMkQvGGW+ZPwNRODgivhYRfy3vdRkRp40zztMj4t8j4g8RcVdEPB4Rd0Zx7/1gREzqGTTdnFfl7+NN5X3lpvL3sbh8f9dExI8i4l0RsWu7vxdJkiRpWPkMIEmSNHAi4gnAycChTV6eCcwrj+cAH4uIF2bmd8YZ70XAp4GNm7y8aXkcBrwnIo7MzIs6iX+QRMQJwHuB2Q0vrVUeTwLeGBHnAK/KzJYPJ28x/i7AN4GtGl7agOL38xzgVRHx/Mx8uMZ4bwY+DsxqeGm78nhtRJwE/Gs7cU5nEbE/8FWKz7Rqq/J4WUR8FTh2EmPvDJwCPLXJyxuWxz7ACRFxfGZ+qd1r9EJErEAxT97O2H/UNgtYG9gFeHtEvCYzz5zE+G8CPkjxZ6TRFuXxMuCyiHhpZv61xpj7AGew7H1o8/I4DDgnIo5oN97KNdYFTgcOqtl+HvB5oNkzbNYrjz2Ad0bEv2Xmh2qOuzNdnFcRcSjw38C6TV6eWx5ble/jJOBdFPNDkiRJWq6ZAJIkSd30k/LnjsBGZfl24I8t2j/SWBERTwbOqfQfcW05VpSvbTnSBVitVUAR8S/Ahxuq7wCuBxaX44x8Ibsl8LOIeF5m/l+rMaeLiPgy8KqG6huAm4DVgR2Alcr6g4FfRsR+mXlzzUtsC5xJ8fkncCVwJ8WX5jsy+sX8/sBXgBdPEO8/A59qqP4bcA2wMrA9sCpwAsXvvRsWMDpv9wFWKct/Am5r0r6tBFmnIuJZwPcYjQvgPuAvFJ/vdhS/yyMpkqOPtTH2gcC3KD7TEQ9S/B4foviSfltG/4x9MSLWz8zGP0/98AXgtQ111wG3UCSAnkTxvr4eEffXHbRMLJ0MvL7hpZuAkT8XT6RIjADsDPyq/HNz+TjjPp3ivlZNxD5I8Xt8HNgGWJ/iz+HZwAV1Y65YGfgh8JTyfD5wNcWfza2bxLRrGdP6lepHypjuB9ah+BxnlGN/MCI2zczGz71x3K7Oq4h4JvBtxv7d9R6K+8JDFJ/phhT/KGDkvuBOF5IkSRJAZnp4eHh4eHh4dPUATqP40jGB09rotw7Fl6wjfZcA/wls0qTt2sCrgd8CR7cY7xWVsZLiy85dm7R7GnB5pd3dwIYtxpzXMOa8TtpN4rO9sTJm0/ddtntzw/V/B+ze5DP8z4Z2vwRm1HxPd5c/vwps3NB2M+DChvbPGCfe3SgSciNtb6ZYPRSVNrMoVnw8Ciyl+IJ7pP2JXfjMarVr6LNv9T12sw+wBkWycqTtQxSrfGZW2qwMvAlYWLa5q9K+5Z89iiTGg5W2VwGHNP7uy9/5tyrtlgIHdGkuV+fGvm30e1lD3z8AuzW02bgS9111rwX8S0Pb/wG2aWgTFIma6nz5KzCnxZhzGXtfewR4G7BKw5jPBW5tEvMF48R7QaXdA+XP6yn+7KxQabcCsHnlfF2KBOdI39uAV1bnVqXd5xs+k9dM5bwCLmv4nPelcl+otFsdeBFwFvCObszRcd7nidXPpMfXqs6zo3t5LQ8PDw8PDw8Pj+E7/JdRkiRpkHwG2KQsLwVekplvzcxbGhtm5j2Z+eXMfArFF4ljRMR6FF9cjvjPzDw4M3/fZKxfUSSBRlYqrcM03mIsItYCPlap+h2wT2b+rtqu/AzfCryvUv004Jial1oH+GRmHpmZtzaMfRPFF9p/q1SPN+6/U6w0gOJf9++bmT/MzKyM+Uhm/jtFYi8oEljD7H2Mbvu2FHhBZn4hMx8faZCZj2Xm54AXUnxB3GyLrGZOZ3SFxsUUCZTvZ+aSaqPMvDEzX0ixgguKz/3fJ/VuuiCK53R9ulL1F4q5cmm1XTkfXwR8g5qfSUTsAHygUnVcZh6RmVc3jJ2ZeQ6wF8WqRChW8LypxdDvYPS+BvDSzPxMZj7aMOYPKJIb99aNucFcikTO08s/O0sr4y/NzBsqbf+L0VWW11Ikxs+ozq2y392Z+Qbg/ZXqkyKicYvGEV2dVxGxMfDkkW7AoZl5QfW+UBnz/sz838w8jLFzRJIkSVpumQCSJEkDISI2B15SqfpUZi6T2GkmMx9qUv1mii9EoUjs/HONMV5XqToqIua2aj/gXsPoVlNLgGNy/Ofv/BtQ/QL9bTWvcw3FdmxNZeYDQPXZHs9o1i4itmt47V8z8/pxxv02xZZQQysiVgGOrlSdlpk/bdW+TEh8tebYz6J4rgsUq6leOsH8AHgLRWIOYPtyjH54PmOfhXRsZjbd4q1MEryJIqFSxzsZTUKek5njJhEy8w7guErVmxvbRMQMipWKI76ZmWePM+a1jE3Ituu4zLx9vAYRsRVFcgyKpMorc+Jnf32IYgs3KBKvL2sybi/mVTVxdnfWeNYSQGPCqdciIts8jp7K+CRJkrT8MgEkSZIGxUsZ/fL1UYoHeXfiyEr5M3W+EMzMX1M8RwSKBMpeHcbQL8+vlP8vM/80XuNypcB/VKp2iIhlnhnSxKmZuXiCNr+slLcsV3A0ek6lvJB6iYzPT9xkWtsXWLNy/l81+tRpA3BUpfytrPHMp/KL/LMqVf9Y81rdVp3bl2fmL8ZrnJkLgK9NNGiZcKs+o6ruCpLvUMxZgE0iYpuG13dh7PPMvlBjzNNp8ny0GuZTLzF6BKN/D/xVZl4yUYcymfb/KlXNfv+9mFfVz2HdiNhwojElSZIkjVpx4iaSJElTYp9K+bzyi9tJiYjNKJ5BM+LcNrr/EdiyLO8OtFx1MYjKBMsulaof1uz6fYrVACMPUd+TYoXPeC6qMW51a7igeE7H3Q1tnlop/6bGqgGAXwCLgJVqtJ2O9qiU78zMyybqkJmXRsTdTLx92N6Vcrt/Nkbs3ka/bqp+Lj+u2edHNFmd02TclcvyYornV00oMx+PiKuBncuq3YHqlnHVuf04YxOircZ8MCJ+y9jfUx2/rpGQhd79/nsx7pXAw8AcivvHDyLi9Y3bWQ6An7TZ/raeRCFJkiQ1MAEkSZIGxXaV8qUtW9WzU8P5KRGxzDMjWtixUp7Mczj6bRNGv8gGuKJOp8y8PyJuZjRxtlWNbn+buMnfV0eMmN2kzaaV8pVNXl9G+cX7dcC2ddpPQ9XPf9wVXA3+BDyz1YvltobzKlVvioiX1hz7CZXylP/ZiIgVGRt73c+lTrvqPWMJ8P2IaNW2UTXZ3Pi5VOf2dZm5qOaYf6H9BNB1EzcBxr7XF0bEnjX7rVUpj3mfvZpXmflYRPwX8O6yalfgtxFxFUUC8BcUq5gm2sKupzLz2f28viRJktSKCSBJkjQoql8u3tXhWGs3nB8wyXFW7zCOfliz4Xx+G33vZvTL7MZxmnl84ibLaPat+hqV8n1tjNX02S9Dovr539Oy1bImatv4Z2OyK3n68WdjjYbzup9LnXbVz2Vl4MCaYzdq/FzWqJTva2OcycztByZqEBErMDamJ5VHuxrfZy/n1fuAjYFXVuq2LY9/AoiIP1Fsf/flzLxlkteWJEmSho7PAJIkSYOiumrl0Q7HmtNh/xHT8f+VVm44bydJ81ilvEoXYum1pf0OoIeqv8fJ/g6bmc5/NiY7tyf6TGDwPpfJzO06fWbRnRgbE7k9+/wyc1FmHgHsR/G8oGb/fdgBeD9wbUR8oEx0SZIkScs9VwBJkqRBcS+wXlnudHXBfZXyw5m5aofjTSf3NZzPbaPvauOM00vV1Q7t/O7rrFIaRHW+nK6u5mjndzhR2/sazp8ygM9TaaVxhUvdz6VOu/sq5T9n5g41x57IQM3tzHw4IqrPznpRZn6rC0Pf13De9XmVmecB50XEyhTPbNobeEZ5zCqbzaRYMTQHOL6b15ckSZKmI/9llCRJGhTV58ls0+FY1edBzImIjTocbzpp3D5vizqdonjgyebjjNNLN1fK27VsVRERK1HzvfXYmFUoZVwTqfPlfnUOb96y1bIm+kzmM3alSKd/1qZMZj4IPFKpqvu51Jkn1c97i/J5Q91Qndtb1ZwfUPPPwSRV/2x36/c/ZfMqMx/LzAsz88OZeSCwDnAUcGul2T9FxGbNR5AkSZKWHyaAJElSL1S/CKz7JPWLK+V9Orz+byge5D5iss8AmnYy827GfhFa9wHvOwHVlVKXdi2oif2mUn5qRMyu0efpFP/av5smM28fbDhfq2mrseqsLvlDpbxdREy4iiUiVgOeOF6bzHyMsb/b6fZno/q5PLVmnzrtLqqUZ1HMr26ozu2ZwD9M1CEiVgWe0qXrN1N9r135/fdzXmXmwsz/396dx8pV1QEc//5YbIGwBVkMIggoYRFwBRRQ1KSsUhEKChqLATcUcEFREIJrCphAgiC4sG8iURJkry2RBAyCoAW1QZZGQGQRFClQ/PnHuc9332Pmzbz3Zt68Xr6fZJI7t+ee+XXuuZPm/Po7J8+vPvPF6vSKlCXjJEmSpFc0E0CSJKkfnq0dr9K21UjX1463iIgJJ4Ey8xlGTnJ+dqJ9LacW1o4P7LKa4aO14+cYOXHdb7+qHa82KpZ2Pt2HOCYybh8a9f5NXVwzu4s29Xu4MvDBLq7Zn+GlvcZybe34gIhYv4trpov697JXlSzp5MOdGmTmPYy8l0eMN7A27gQeqb3/VBfXfAzoJgk6UfX7v2tEdDNmx9vvlI+rzLwXuLd2anka15IkSVJfmACSJEn9UJ/w3LzLa34JPFB7f0ZEdDsJ38qpteO3RcTRk+hreXNO7Xgj4MixGkfEpsBnaqcuzsxn27XvtcxcBNxSO/WtiNikXfuImA0c0IdQxj1uM/Np4L7aqTljtY+IOcD2XfT7F0ZWxX0jImaO0e8qwPGd+q38gOGl1FYFzqqWAFwenFc7Xh346liNI2J3yh4x3fh+7Xi/iNhvnLG9TGYuA35SO3VQROzdrn31LH5zsp/bwcUMj/UAzqn21Zmsno+rCVxfTwg+OZnPliRJkprABJAkSeqHO2rH20fEbp0uyMyXGDmZuzVw/Vj790SxV0S0Wq7pKuCm2vtTIuJrnaphImL1iDgsIq7rFPN0lZkLGVkp8d2I+FCrthHxOkoFzlCy7TlgXn8jbOkLDC/b92pgYUTsUZ8AjoiZEXEkcAmQwBM9jqE+bueMY++oK2vHcyOiZcKheg7OafVnbXy7drwZcEmrpGhErAZcDmzSTaeZ+Sjw3dqp2cDlETHm3kQRsVJ1T24a1P4qmfln4IraqWMj4pBWbSPizcBF4+j+h8CiocuBiyLiE52SEBG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      "text/plain": [
       "<Figure size 819.2x460.8 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 475,
       "width": 832
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds.geolon_t.plot(levels=21)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "312e5b41-fd31-4c15-9ea7-7cd173c4673d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "77.76"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.temp.nbytes/1e9*15*30"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "5130dcad-3262-4f39-83cb-ba1c8400d449",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "172800000"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.temp.size*4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "bbf33539-e068-4f80-b7fc-0e5611089a6b",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;xt_ocean&#x27; (xt_ocean: 360)&gt;\n",
       "array([-279.5, -278.5, -277.5, ...,   77.5,   78.5,   79.5])\n",
       "Coordinates:\n",
       "  * xt_ocean  (xt_ocean) float64 -279.5 -278.5 -277.5 -276.5 ... 77.5 78.5 79.5\n",
       "Attributes:\n",
       "    long_name:       tcell longitude\n",
       "    units:           degrees_E\n",
       "    cartesian_axis:  X</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'xt_ocean'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>xt_ocean</span>: 360</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-26af2482-58ca-402f-aed4-470f21526fea' class='xr-array-in' type='checkbox' checked><label for='section-26af2482-58ca-402f-aed4-470f21526fea' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-279.5 -278.5 -277.5 -276.5 -275.5 -274.5 ... 75.5 76.5 77.5 78.5 79.5</span></div><div class='xr-array-data'><pre>array([-279.5, -278.5, -277.5, ...,   77.5,   78.5,   79.5])</pre></div></div></li><li class='xr-section-item'><input id='section-5a8738e7-6051-49b2-871c-b464939d55d5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5a8738e7-6051-49b2-871c-b464939d55d5' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xt_ocean</span></div><div class='xr-var-dims'>(xt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-279.5 -278.5 -277.5 ... 78.5 79.5</div><input id='attrs-785c11d2-7597-479b-9111-6bd1d756c83e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-785c11d2-7597-479b-9111-6bd1d756c83e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba758cbf-b2fd-45c8-8fe6-3458ad76f3f1' class='xr-var-data-in' type='checkbox'><label for='data-ba758cbf-b2fd-45c8-8fe6-3458ad76f3f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell longitude</dd><dt><span>units :</span></dt><dd>degrees_E</dd><dt><span>cartesian_axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-279.5, -278.5, -277.5, ...,   77.5,   78.5,   79.5])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3ccac97a-1c69-4ce1-b52c-969e1b0fe823' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3ccac97a-1c69-4ce1-b52c-969e1b0fe823' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell longitude</dd><dt><span>units :</span></dt><dd>degrees_E</dd><dt><span>cartesian_axis :</span></dt><dd>X</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'xt_ocean' (xt_ocean: 360)>\n",
       "array([-279.5, -278.5, -277.5, ...,   77.5,   78.5,   79.5])\n",
       "Coordinates:\n",
       "  * xt_ocean  (xt_ocean) float64 -279.5 -278.5 -277.5 -276.5 ... 77.5 78.5 79.5\n",
       "Attributes:\n",
       "    long_name:       tcell longitude\n",
       "    units:           degrees_E\n",
       "    cartesian_axis:  X"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.xt_ocean"
   ]
  },
  {
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   "execution_count": 29,
   "id": "66f970aa-d22e-4dc3-b59d-e61eb0ebe0c7",
   "metadata": {},
   "outputs": [
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       "}\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.DataArray &#x27;yt_ocean&#x27; (yt_ocean: 200)&gt;\n",
       "array([-81.5     , -80.5     , -79.5     , -78.5     , -77.5     , -76.5     ,\n",
       "       -75.5     , -74.5     , -73.5     , -72.5     , -71.5     , -70.5     ,\n",
       "       -69.5     , -68.5     , -67.5     , -66.5     , -65.5     , -64.5     ,\n",
       "       -63.5     , -62.5     , -61.5     , -60.5     , -59.5     , -58.5     ,\n",
       "       -57.5     , -56.5     , -55.5     , -54.5     , -53.5     , -52.5     ,\n",
       "       -51.5     , -50.5     , -49.5     , -48.5     , -47.5     , -46.5     ,\n",
       "       -45.5     , -44.5     , -43.5     , -42.5     , -41.5     , -40.5     ,\n",
       "       -39.5     , -38.5     , -37.5     , -36.5     , -35.5     , -34.5     ,\n",
       "       -33.5     , -32.5     , -31.5     , -30.5     , -29.5     , -28.501426,\n",
       "       -27.507105, -26.519792, -25.542121, -24.576562, -23.625377, -22.690584,\n",
       "       -21.773917, -20.876803, -20.000333, -19.145246, -18.311912, -17.500333,\n",
       "       -16.710136, -15.940584, -15.190584, -14.458711, -13.743228, -13.04212 ,\n",
       "       -12.353125, -11.673771, -11.001426, -10.333333,  -9.666666,  -9.002051,\n",
       "        -8.343542,  -7.695041,  -7.060205,  -6.442354,  -5.844389,  -5.268724,\n",
       "        -4.717221,  -4.191149,  -3.691149,  -3.217221,  -2.768724,  -2.344389,\n",
       "        -1.942354,  -1.560205,  -1.195041,  -0.843542,  -0.502051,  -0.166666,\n",
       "         0.166667,   0.502052,   0.843543,   1.195042,   1.560206,   1.942354,\n",
       "         2.34439 ,   2.768725,   3.217222,   3.69115 ,   4.19115 ,   4.717222,\n",
       "         5.268725,   5.84439 ,   6.442354,   7.060206,   7.695042,   8.343543,\n",
       "         9.002052,   9.666667,  10.333334,  11.001426,  11.673772,  12.353125,\n",
       "        13.042121,  13.743229,  14.458711,  15.190584,  15.940584,  16.710137,\n",
       "        17.500334,  18.311913,  19.145246,  20.000334,  20.876804,  21.773918,\n",
       "        22.690585,  23.625378,  24.576563,  25.542122,  26.519792,  27.507106,\n",
       "        28.501427,  29.500001,  30.500001,  31.500001,  32.500001,  33.500001,\n",
       "        34.500001,  35.500001,  36.500001,  37.500001,  38.500001,  39.500001,\n",
       "        40.500001,  41.500001,  42.500001,  43.500001,  44.500001,  45.500001,\n",
       "        46.500001,  47.500001,  48.500001,  49.500001,  50.500001,  51.500001,\n",
       "        52.500001,  53.500001,  54.500001,  55.500001,  56.500001,  57.500001,\n",
       "        58.500001,  59.500001,  60.500001,  61.500001,  62.500001,  63.500001,\n",
       "        64.500001,  65.500001,  66.500001,  67.500001,  68.500001,  69.500001,\n",
       "        70.500001,  71.500001,  72.500001,  73.500001,  74.500001,  75.500001,\n",
       "        76.500001,  77.500001,  78.500001,  79.500001,  80.500001,  81.500001,\n",
       "        82.500001,  83.500001,  84.500001,  85.500001,  86.500001,  87.500001,\n",
       "        88.500001,  89.500001])\n",
       "Coordinates:\n",
       "  * yt_ocean  (yt_ocean) float64 -81.5 -80.5 -79.5 -78.5 ... 86.5 87.5 88.5 89.5\n",
       "Attributes:\n",
       "    long_name:       tcell latitude\n",
       "    units:           degrees_N\n",
       "    cartesian_axis:  Y</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'yt_ocean'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>yt_ocean</span>: 200</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5ba59822-ce40-4a76-962a-70883e933e8a' class='xr-array-in' type='checkbox' checked><label for='section-5ba59822-ce40-4a76-962a-70883e933e8a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-81.5 -80.5 -79.5 -78.5 -77.5 -76.5 ... 84.5 85.5 86.5 87.5 88.5 89.5</span></div><div class='xr-array-data'><pre>array([-81.5     , -80.5     , -79.5     , -78.5     , -77.5     , -76.5     ,\n",
       "       -75.5     , -74.5     , -73.5     , -72.5     , -71.5     , -70.5     ,\n",
       "       -69.5     , -68.5     , -67.5     , -66.5     , -65.5     , -64.5     ,\n",
       "       -63.5     , -62.5     , -61.5     , -60.5     , -59.5     , -58.5     ,\n",
       "       -57.5     , -56.5     , -55.5     , -54.5     , -53.5     , -52.5     ,\n",
       "       -51.5     , -50.5     , -49.5     , -48.5     , -47.5     , -46.5     ,\n",
       "       -45.5     , -44.5     , -43.5     , -42.5     , -41.5     , -40.5     ,\n",
       "       -39.5     , -38.5     , -37.5     , -36.5     , -35.5     , -34.5     ,\n",
       "       -33.5     , -32.5     , -31.5     , -30.5     , -29.5     , -28.501426,\n",
       "       -27.507105, -26.519792, -25.542121, -24.576562, -23.625377, -22.690584,\n",
       "       -21.773917, -20.876803, -20.000333, -19.145246, -18.311912, -17.500333,\n",
       "       -16.710136, -15.940584, -15.190584, -14.458711, -13.743228, -13.04212 ,\n",
       "       -12.353125, -11.673771, -11.001426, -10.333333,  -9.666666,  -9.002051,\n",
       "        -8.343542,  -7.695041,  -7.060205,  -6.442354,  -5.844389,  -5.268724,\n",
       "        -4.717221,  -4.191149,  -3.691149,  -3.217221,  -2.768724,  -2.344389,\n",
       "        -1.942354,  -1.560205,  -1.195041,  -0.843542,  -0.502051,  -0.166666,\n",
       "         0.166667,   0.502052,   0.843543,   1.195042,   1.560206,   1.942354,\n",
       "         2.34439 ,   2.768725,   3.217222,   3.69115 ,   4.19115 ,   4.717222,\n",
       "         5.268725,   5.84439 ,   6.442354,   7.060206,   7.695042,   8.343543,\n",
       "         9.002052,   9.666667,  10.333334,  11.001426,  11.673772,  12.353125,\n",
       "        13.042121,  13.743229,  14.458711,  15.190584,  15.940584,  16.710137,\n",
       "        17.500334,  18.311913,  19.145246,  20.000334,  20.876804,  21.773918,\n",
       "        22.690585,  23.625378,  24.576563,  25.542122,  26.519792,  27.507106,\n",
       "        28.501427,  29.500001,  30.500001,  31.500001,  32.500001,  33.500001,\n",
       "        34.500001,  35.500001,  36.500001,  37.500001,  38.500001,  39.500001,\n",
       "        40.500001,  41.500001,  42.500001,  43.500001,  44.500001,  45.500001,\n",
       "        46.500001,  47.500001,  48.500001,  49.500001,  50.500001,  51.500001,\n",
       "        52.500001,  53.500001,  54.500001,  55.500001,  56.500001,  57.500001,\n",
       "        58.500001,  59.500001,  60.500001,  61.500001,  62.500001,  63.500001,\n",
       "        64.500001,  65.500001,  66.500001,  67.500001,  68.500001,  69.500001,\n",
       "        70.500001,  71.500001,  72.500001,  73.500001,  74.500001,  75.500001,\n",
       "        76.500001,  77.500001,  78.500001,  79.500001,  80.500001,  81.500001,\n",
       "        82.500001,  83.500001,  84.500001,  85.500001,  86.500001,  87.500001,\n",
       "        88.500001,  89.500001])</pre></div></div></li><li class='xr-section-item'><input id='section-b75eed80-1868-421f-bf36-472f44e92df4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b75eed80-1868-421f-bf36-472f44e92df4' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yt_ocean</span></div><div class='xr-var-dims'>(yt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-81.5 -80.5 -79.5 ... 88.5 89.5</div><input id='attrs-831084d7-2d63-4e82-a6fb-22bda1ded3e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-831084d7-2d63-4e82-a6fb-22bda1ded3e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-306ae13f-8280-4cc4-add4-3280825d5d3e' class='xr-var-data-in' type='checkbox'><label for='data-306ae13f-8280-4cc4-add4-3280825d5d3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell latitude</dd><dt><span>units :</span></dt><dd>degrees_N</dd><dt><span>cartesian_axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-81.5     , -80.5     , -79.5     , -78.5     , -77.5     , -76.5     ,\n",
       "       -75.5     , -74.5     , -73.5     , -72.5     , -71.5     , -70.5     ,\n",
       "       -69.5     , -68.5     , -67.5     , -66.5     , -65.5     , -64.5     ,\n",
       "       -63.5     , -62.5     , -61.5     , -60.5     , -59.5     , -58.5     ,\n",
       "       -57.5     , -56.5     , -55.5     , -54.5     , -53.5     , -52.5     ,\n",
       "       -51.5     , -50.5     , -49.5     , -48.5     , -47.5     , -46.5     ,\n",
       "       -45.5     , -44.5     , -43.5     , -42.5     , -41.5     , -40.5     ,\n",
       "       -39.5     , -38.5     , -37.5     , -36.5     , -35.5     , -34.5     ,\n",
       "       -33.5     , -32.5     , -31.5     , -30.5     , -29.5     , -28.501426,\n",
       "       -27.507105, -26.519792, -25.542121, -24.576562, -23.625377, -22.690584,\n",
       "       -21.773917, -20.876803, -20.000333, -19.145246, -18.311912, -17.500333,\n",
       "       -16.710136, -15.940584, -15.190584, -14.458711, -13.743228, -13.04212 ,\n",
       "       -12.353125, -11.673771, -11.001426, -10.333333,  -9.666666,  -9.002051,\n",
       "        -8.343542,  -7.695041,  -7.060205,  -6.442354,  -5.844389,  -5.268724,\n",
       "        -4.717221,  -4.191149,  -3.691149,  -3.217221,  -2.768724,  -2.344389,\n",
       "        -1.942354,  -1.560205,  -1.195041,  -0.843542,  -0.502051,  -0.166666,\n",
       "         0.166667,   0.502052,   0.843543,   1.195042,   1.560206,   1.942354,\n",
       "         2.34439 ,   2.768725,   3.217222,   3.69115 ,   4.19115 ,   4.717222,\n",
       "         5.268725,   5.84439 ,   6.442354,   7.060206,   7.695042,   8.343543,\n",
       "         9.002052,   9.666667,  10.333334,  11.001426,  11.673772,  12.353125,\n",
       "        13.042121,  13.743229,  14.458711,  15.190584,  15.940584,  16.710137,\n",
       "        17.500334,  18.311913,  19.145246,  20.000334,  20.876804,  21.773918,\n",
       "        22.690585,  23.625378,  24.576563,  25.542122,  26.519792,  27.507106,\n",
       "        28.501427,  29.500001,  30.500001,  31.500001,  32.500001,  33.500001,\n",
       "        34.500001,  35.500001,  36.500001,  37.500001,  38.500001,  39.500001,\n",
       "        40.500001,  41.500001,  42.500001,  43.500001,  44.500001,  45.500001,\n",
       "        46.500001,  47.500001,  48.500001,  49.500001,  50.500001,  51.500001,\n",
       "        52.500001,  53.500001,  54.500001,  55.500001,  56.500001,  57.500001,\n",
       "        58.500001,  59.500001,  60.500001,  61.500001,  62.500001,  63.500001,\n",
       "        64.500001,  65.500001,  66.500001,  67.500001,  68.500001,  69.500001,\n",
       "        70.500001,  71.500001,  72.500001,  73.500001,  74.500001,  75.500001,\n",
       "        76.500001,  77.500001,  78.500001,  79.500001,  80.500001,  81.500001,\n",
       "        82.500001,  83.500001,  84.500001,  85.500001,  86.500001,  87.500001,\n",
       "        88.500001,  89.500001])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5b265633-e7c5-4b26-ab54-d66f58882baf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5b265633-e7c5-4b26-ab54-d66f58882baf' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell latitude</dd><dt><span>units :</span></dt><dd>degrees_N</dd><dt><span>cartesian_axis :</span></dt><dd>Y</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'yt_ocean' (yt_ocean: 200)>\n",
       "array([-81.5     , -80.5     , -79.5     , -78.5     , -77.5     , -76.5     ,\n",
       "       -75.5     , -74.5     , -73.5     , -72.5     , -71.5     , -70.5     ,\n",
       "       -69.5     , -68.5     , -67.5     , -66.5     , -65.5     , -64.5     ,\n",
       "       -63.5     , -62.5     , -61.5     , -60.5     , -59.5     , -58.5     ,\n",
       "       -57.5     , -56.5     , -55.5     , -54.5     , -53.5     , -52.5     ,\n",
       "       -51.5     , -50.5     , -49.5     , -48.5     , -47.5     , -46.5     ,\n",
       "       -45.5     , -44.5     , -43.5     , -42.5     , -41.5     , -40.5     ,\n",
       "       -39.5     , -38.5     , -37.5     , -36.5     , -35.5     , -34.5     ,\n",
       "       -33.5     , -32.5     , -31.5     , -30.5     , -29.5     , -28.501426,\n",
       "       -27.507105, -26.519792, -25.542121, -24.576562, -23.625377, -22.690584,\n",
       "       -21.773917, -20.876803, -20.000333, -19.145246, -18.311912, -17.500333,\n",
       "       -16.710136, -15.940584, -15.190584, -14.458711, -13.743228, -13.04212 ,\n",
       "       -12.353125, -11.673771, -11.001426, -10.333333,  -9.666666,  -9.002051,\n",
       "        -8.343542,  -7.695041,  -7.060205,  -6.442354,  -5.844389,  -5.268724,\n",
       "        -4.717221,  -4.191149,  -3.691149,  -3.217221,  -2.768724,  -2.344389,\n",
       "        -1.942354,  -1.560205,  -1.195041,  -0.843542,  -0.502051,  -0.166666,\n",
       "         0.166667,   0.502052,   0.843543,   1.195042,   1.560206,   1.942354,\n",
       "         2.34439 ,   2.768725,   3.217222,   3.69115 ,   4.19115 ,   4.717222,\n",
       "         5.268725,   5.84439 ,   6.442354,   7.060206,   7.695042,   8.343543,\n",
       "         9.002052,   9.666667,  10.333334,  11.001426,  11.673772,  12.353125,\n",
       "        13.042121,  13.743229,  14.458711,  15.190584,  15.940584,  16.710137,\n",
       "        17.500334,  18.311913,  19.145246,  20.000334,  20.876804,  21.773918,\n",
       "        22.690585,  23.625378,  24.576563,  25.542122,  26.519792,  27.507106,\n",
       "        28.501427,  29.500001,  30.500001,  31.500001,  32.500001,  33.500001,\n",
       "        34.500001,  35.500001,  36.500001,  37.500001,  38.500001,  39.500001,\n",
       "        40.500001,  41.500001,  42.500001,  43.500001,  44.500001,  45.500001,\n",
       "        46.500001,  47.500001,  48.500001,  49.500001,  50.500001,  51.500001,\n",
       "        52.500001,  53.500001,  54.500001,  55.500001,  56.500001,  57.500001,\n",
       "        58.500001,  59.500001,  60.500001,  61.500001,  62.500001,  63.500001,\n",
       "        64.500001,  65.500001,  66.500001,  67.500001,  68.500001,  69.500001,\n",
       "        70.500001,  71.500001,  72.500001,  73.500001,  74.500001,  75.500001,\n",
       "        76.500001,  77.500001,  78.500001,  79.500001,  80.500001,  81.500001,\n",
       "        82.500001,  83.500001,  84.500001,  85.500001,  86.500001,  87.500001,\n",
       "        88.500001,  89.500001])\n",
       "Coordinates:\n",
       "  * yt_ocean  (yt_ocean) float64 -81.5 -80.5 -79.5 -78.5 ... 86.5 87.5 88.5 89.5\n",
       "Attributes:\n",
       "    long_name:       tcell latitude\n",
       "    units:           degrees_N\n",
       "    cartesian_axis:  Y"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.yt_ocean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "e582fa49-5a6e-4e38-a5c3-5b030f798674",
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   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;st_ocean&#x27; (st_ocean: 50)&gt;\n",
       "array([5.000000e+00, 1.500000e+01, 2.500000e+01, 3.500000e+01, 4.500000e+01,\n",
       "       5.500000e+01, 6.500000e+01, 7.500000e+01, 8.500000e+01, 9.500000e+01,\n",
       "       1.050000e+02, 1.150000e+02, 1.250000e+02, 1.350000e+02, 1.450000e+02,\n",
       "       1.550000e+02, 1.650000e+02, 1.750000e+02, 1.850000e+02, 1.950000e+02,\n",
       "       2.050000e+02, 2.150000e+02, 2.250000e+02, 2.361228e+02, 2.506000e+02,\n",
       "       2.706208e+02, 2.983049e+02, 3.356756e+02, 3.846343e+02, 4.469366e+02,\n",
       "       5.241706e+02, 6.177363e+02, 7.288285e+02, 8.584215e+02, 1.007257e+03,\n",
       "       1.175835e+03, 1.364406e+03, 1.572971e+03, 1.801279e+03, 2.048829e+03,\n",
       "       2.314879e+03, 2.598456e+03, 2.898365e+03, 3.213206e+03, 3.541390e+03,\n",
       "       3.881162e+03, 4.230621e+03, 4.587743e+03, 4.950409e+03, 5.316429e+03])\n",
       "Coordinates:\n",
       "  * st_ocean  (st_ocean) float64 5.0 15.0 25.0 ... 4.588e+03 4.95e+03 5.316e+03\n",
       "Attributes:\n",
       "    long_name:       tcell zstar depth\n",
       "    units:           meters\n",
       "    cartesian_axis:  Z\n",
       "    positive:        down\n",
       "    edges:           st_edges_ocean</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'st_ocean'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>st_ocean</span>: 50</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0ef00521-035b-49f7-89a9-d04be6166825' class='xr-array-in' type='checkbox' checked><label for='section-0ef00521-035b-49f7-89a9-d04be6166825' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.0 15.0 25.0 35.0 45.0 ... 4.231e+03 4.588e+03 4.95e+03 5.316e+03</span></div><div class='xr-array-data'><pre>array([5.000000e+00, 1.500000e+01, 2.500000e+01, 3.500000e+01, 4.500000e+01,\n",
       "       5.500000e+01, 6.500000e+01, 7.500000e+01, 8.500000e+01, 9.500000e+01,\n",
       "       1.050000e+02, 1.150000e+02, 1.250000e+02, 1.350000e+02, 1.450000e+02,\n",
       "       1.550000e+02, 1.650000e+02, 1.750000e+02, 1.850000e+02, 1.950000e+02,\n",
       "       2.050000e+02, 2.150000e+02, 2.250000e+02, 2.361228e+02, 2.506000e+02,\n",
       "       2.706208e+02, 2.983049e+02, 3.356756e+02, 3.846343e+02, 4.469366e+02,\n",
       "       5.241706e+02, 6.177363e+02, 7.288285e+02, 8.584215e+02, 1.007257e+03,\n",
       "       1.175835e+03, 1.364406e+03, 1.572971e+03, 1.801279e+03, 2.048829e+03,\n",
       "       2.314879e+03, 2.598456e+03, 2.898365e+03, 3.213206e+03, 3.541390e+03,\n",
       "       3.881162e+03, 4.230621e+03, 4.587743e+03, 4.950409e+03, 5.316429e+03])</pre></div></div></li><li class='xr-section-item'><input id='section-8860a687-366d-4881-8b5d-be0a93b33367' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8860a687-366d-4881-8b5d-be0a93b33367' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>st_ocean</span></div><div class='xr-var-dims'>(st_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 ... 4.95e+03 5.316e+03</div><input id='attrs-d892b695-28c5-48c8-b999-2070ec2e7e87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d892b695-28c5-48c8-b999-2070ec2e7e87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77234502-847f-47b3-82ea-bc0db3144806' class='xr-var-data-in' type='checkbox'><label for='data-77234502-847f-47b3-82ea-bc0db3144806' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell zstar depth</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>cartesian_axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>edges :</span></dt><dd>st_edges_ocean</dd></dl></div><div class='xr-var-data'><pre>array([5.000000e+00, 1.500000e+01, 2.500000e+01, 3.500000e+01, 4.500000e+01,\n",
       "       5.500000e+01, 6.500000e+01, 7.500000e+01, 8.500000e+01, 9.500000e+01,\n",
       "       1.050000e+02, 1.150000e+02, 1.250000e+02, 1.350000e+02, 1.450000e+02,\n",
       "       1.550000e+02, 1.650000e+02, 1.750000e+02, 1.850000e+02, 1.950000e+02,\n",
       "       2.050000e+02, 2.150000e+02, 2.250000e+02, 2.361228e+02, 2.506000e+02,\n",
       "       2.706208e+02, 2.983049e+02, 3.356756e+02, 3.846343e+02, 4.469366e+02,\n",
       "       5.241706e+02, 6.177363e+02, 7.288285e+02, 8.584215e+02, 1.007257e+03,\n",
       "       1.175835e+03, 1.364406e+03, 1.572971e+03, 1.801279e+03, 2.048829e+03,\n",
       "       2.314879e+03, 2.598456e+03, 2.898365e+03, 3.213206e+03, 3.541390e+03,\n",
       "       3.881162e+03, 4.230621e+03, 4.587743e+03, 4.950409e+03, 5.316429e+03])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-48f798b3-504b-4529-a4df-500f29143ae2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-48f798b3-504b-4529-a4df-500f29143ae2' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tcell zstar depth</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>cartesian_axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>edges :</span></dt><dd>st_edges_ocean</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'st_ocean' (st_ocean: 50)>\n",
       "array([5.000000e+00, 1.500000e+01, 2.500000e+01, 3.500000e+01, 4.500000e+01,\n",
       "       5.500000e+01, 6.500000e+01, 7.500000e+01, 8.500000e+01, 9.500000e+01,\n",
       "       1.050000e+02, 1.150000e+02, 1.250000e+02, 1.350000e+02, 1.450000e+02,\n",
       "       1.550000e+02, 1.650000e+02, 1.750000e+02, 1.850000e+02, 1.950000e+02,\n",
       "       2.050000e+02, 2.150000e+02, 2.250000e+02, 2.361228e+02, 2.506000e+02,\n",
       "       2.706208e+02, 2.983049e+02, 3.356756e+02, 3.846343e+02, 4.469366e+02,\n",
       "       5.241706e+02, 6.177363e+02, 7.288285e+02, 8.584215e+02, 1.007257e+03,\n",
       "       1.175835e+03, 1.364406e+03, 1.572971e+03, 1.801279e+03, 2.048829e+03,\n",
       "       2.314879e+03, 2.598456e+03, 2.898365e+03, 3.213206e+03, 3.541390e+03,\n",
       "       3.881162e+03, 4.230621e+03, 4.587743e+03, 4.950409e+03, 5.316429e+03])\n",
       "Coordinates:\n",
       "  * st_ocean  (st_ocean) float64 5.0 15.0 25.0 ... 4.588e+03 4.95e+03 5.316e+03\n",
       "Attributes:\n",
       "    long_name:       tcell zstar depth\n",
       "    units:           meters\n",
       "    cartesian_axis:  Z\n",
       "    positive:        down\n",
       "    edges:           st_edges_ocean"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.st_ocean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "529fe06b-504f-426d-ac06-b82b1195343d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[added]: PROJ_LIB = /tigress/wenchang/miniconda3/share/proj\n"
     ]
    }
   ],
   "source": [
    "from geoplots import xticks2lat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "a52fc08c-0810-4d94-b013-c829612455c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 819.2x460.8 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 475,
       "width": 832
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds.temp.sel(xt_ocean=slice(-170,-120)).mean('xt_ocean').mean('time') \\\n",
    "    .sel(st_ocean=slice(0,300)) \\\n",
    "    .sel(yt_ocean=slice(-40,40)) \\\n",
    "    .plot.contourf(yincrease=False, levels=21, center=False)\n",
    "xticks2lat(range(-40,41,10))"
   ]
  }
 ],
 "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": "3.9.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}