{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "import pandas as pd\n",
    "import netCDF4 as nc\n",
    "import datetime as dt\n",
    "from salishsea_tools import evaltools as et, viz_tools\n",
    "import gsw\n",
    "import matplotlib.gridspec as gridspec\n",
    "import matplotlib as mpl\n",
    "import matplotlib.dates as mdates\n",
    "import cmocean as cmo\n",
    "import scipy.interpolate as sinterp\n",
    "import pickle\n",
    "import cmocean\n",
    "import json\n",
    "import f90nml\n",
    "from collections import OrderedDict\n",
    "\n",
    "fs=16\n",
    "mpl.rc('xtick', labelsize=fs)\n",
    "mpl.rc('ytick', labelsize=fs)\n",
    "mpl.rc('legend', fontsize=fs)\n",
    "mpl.rc('axes', titlesize=fs)\n",
    "mpl.rc('axes', labelsize=fs)\n",
    "mpl.rc('figure', titlesize=fs)\n",
    "mpl.rc('font', size=fs)\n",
    "mpl.rc('text', usetex=True)\n",
    "mpl.rc('text.latex', preamble = r'''\n",
    " \\usepackage{txfonts}\n",
    " \\usepackage{lmodern}\n",
    " ''')\n",
    "mpl.rc('font', family='sans-serif', weight='normal', style='normal')\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "from IPython.display import Markdown, display\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "from IPython.display import HTML\n",
    "\n",
    "HTML('''<script>\n",
    "code_show=true; \n",
    "function code_toggle() {\n",
    " if (code_show){\n",
    " $('div.input').hide();\n",
    " } else {\n",
    " $('div.input').show();\n",
    " }\n",
    " code_show = !code_show\n",
    "} \n",
    "$( document ).ready(code_toggle);\n",
    "</script>\n",
    "\n",
    "<form action=\"javascript:code_toggle()\"><input type=\"submit\" value=\"Click here to toggle on/off the raw code.\"></form>''')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": [
     "parameters"
    ]
   },
   "outputs": [],
   "source": [
    "PATH= '/results2/SalishSea/nowcast-green.201905/'\n",
    "year=2015"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "# Year: 2015"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(Markdown('''# Year: '''+ str(year)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Yearly model-data comparisons of nutrients, chlorophyll, temperature and salinity between 201905 runs and DFO observations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Define date range and load observations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "48 data points\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
       "      <th>Pressure</th>\n",
       "      <th>Depth</th>\n",
       "      <th>N</th>\n",
       "      <th>Si</th>\n",
       "      <th>Chlorophyll_Extracted</th>\n",
       "      <th>ConsT</th>\n",
       "      <th>AbsSal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>48.300833</td>\n",
       "      <td>-124.000333</td>\n",
       "      <td>1.9</td>\n",
       "      <td>None</td>\n",
       "      <td>15.31</td>\n",
       "      <td>32.14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.859421</td>\n",
       "      <td>29.227507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>48.300833</td>\n",
       "      <td>-124.000333</td>\n",
       "      <td>6.6</td>\n",
       "      <td>None</td>\n",
       "      <td>17.13</td>\n",
       "      <td>33.90</td>\n",
       "      <td>2.57</td>\n",
       "      <td>9.777243</td>\n",
       "      <td>29.484341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>48.300833</td>\n",
       "      <td>-124.000333</td>\n",
       "      <td>6.7</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.771987</td>\n",
       "      <td>29.484839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>48.300833</td>\n",
       "      <td>-124.000333</td>\n",
       "      <td>11.0</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.439995</td>\n",
       "      <td>30.144549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>48.300833</td>\n",
       "      <td>-124.000333</td>\n",
       "      <td>11.0</td>\n",
       "      <td>None</td>\n",
       "      <td>20.62</td>\n",
       "      <td>37.65</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.433733</td>\n",
       "      <td>30.157913</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year  Month   Day        Lat         Lon  Pressure Depth      N     Si  \\\n",
       "0  2015.0    2.0  11.0  48.300833 -124.000333       1.9  None  15.31  32.14   \n",
       "1  2015.0    2.0  11.0  48.300833 -124.000333       6.6  None  17.13  33.90   \n",
       "2  2015.0    2.0  11.0  48.300833 -124.000333       6.7  None    NaN    NaN   \n",
       "3  2015.0    2.0  11.0  48.300833 -124.000333      11.0  None    NaN    NaN   \n",
       "4  2015.0    2.0  11.0  48.300833 -124.000333      11.0  None  20.62  37.65   \n",
       "\n",
       "   Chlorophyll_Extracted     ConsT     AbsSal  \n",
       "0                    NaN  9.859421  29.227507  \n",
       "1                   2.57  9.777243  29.484341  \n",
       "2                    NaN  9.771987  29.484839  \n",
       "3                    NaN  9.439995  30.144549  \n",
       "4                    NaN  9.433733  30.157913  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "start_date = dt.datetime(year,1,1)\n",
    "end_date = dt.datetime(year,3,1)\n",
    "flen=1\n",
    "namfmt='nowcast'\n",
    "filemap={'nitrate':'ptrc_T','silicon':'ptrc_T','ammonium':'ptrc_T','diatoms':'ptrc_T',\n",
    "         'ciliates':'ptrc_T','flagellates':'ptrc_T','vosaline':'grid_T','votemper':'grid_T'}\n",
    "fdict={'ptrc_T':1,'grid_T':1}\n",
    "\n",
    "df1=et.loadDFO(datelims=(start_date,end_date))\n",
    "print(len(df1),'data points')\n",
    "df1[['Year','Month','Day','Lat','Lon','Pressure','Depth','N','Si','Chlorophyll_Extracted',\n",
    "     'ConsT','AbsSal']].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=et.matchData(df1,filemap,fdict,start_date,end_date,'nowcast',PATH,1,quiet=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# density calculations:\n",
    "data['rho']=gsw.rho(data['AbsSal'],data['ConsT'],data['Pressure'])\n",
    "data['mod_rho']=gsw.rho(data['mod_vosaline'],data['mod_votemper'],\n",
    "                        gsw.p_from_z(-1*data['Z'],data['Lat']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Parameter values from 01jan07 namelist_smelt_cfg:\n",
      "   Chl:N =  2.0\n",
      "   zz_bfsi =  6e-05\n",
      "   zz_remin_d_bsi =  1.1e-06\n",
      "   zz_w_sink_d_bsi =  0.00028\n",
      "   zz_alpha_b_si =  0.88\n",
      "   zz_alpha_b_d =  0.0\n"
     ]
    }
   ],
   "source": [
    "# report coefficients used in \n",
    "try:\n",
    "    nml=f90nml.read(os.path.join(PATH,'01jan'+str(year)[-2:],'namelist_smelt_cfg'))\n",
    "    mod_chl_N=nml['nampisopt']['zzn2chl']\n",
    "    print('Parameter values from 01jan'+str(year)[-2:]+' namelist_smelt_cfg:')\n",
    "    print('   Chl:N = ',mod_chl_N)\n",
    "    print('   zz_bfsi = ',nml['nampisrem']['zz_bfsi'])\n",
    "    print('   zz_remin_d_bsi = ',nml['nampisrem']['zz_remin_d_bsi'])\n",
    "    print('   zz_w_sink_d_bsi = ',nml['nampissink']['zz_w_sink_d_bsi'])\n",
    "    print('   zz_alpha_b_si = ',nml['nampissink']['zz_alpha_b_si'])\n",
    "    print('   zz_alpha_b_d = ',nml['nampissink']['zz_alpha_b_d'])\n",
    "except:\n",
    "    print('namelist_smelt_cfg not present in results file')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# chlorophyll calculations\n",
    "data['l10_obsChl']=np.log10(data['Chlorophyll_Extracted']+0.01)\n",
    "data['l10_modChl']=np.log10(mod_chl_N*(data['mod_diatoms']+data['mod_ciliates']+data['mod_flagellates'])+0.01)\n",
    "data['mod_Chl']=mod_chl_N*(data['mod_diatoms']+data['mod_ciliates']+data['mod_flagellates'])\n",
    "data['Chl']=data['Chlorophyll_Extracted']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# prep and load dictionary to save stats in\n",
    "if os.path.isfile('vET-HC1905-DFO-NutChlPhys-stats.json'):\n",
    "    with open('vET-HC1905-DFO-NutChlPhys-stats.json', 'r') as fstat:\n",
    "        statsDict = json.load(fstat);\n",
    "    statsDict[year]=dict();    \n",
    "else:\n",
    "    statsDict={year:dict()};"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "cm1=cmocean.cm.thermal\n",
    "theta=-30\n",
    "lon0=-123.9\n",
    "lat0=49.3\n",
    "with nc.Dataset('/data/eolson/results/MEOPAR/NEMO-forcing-new/grid/bathymetry_201702.nc') as bathy:\n",
    "    bathylon=np.copy(bathy.variables['nav_lon'][:,:])\n",
    "    bathylat=np.copy(bathy.variables['nav_lat'][:,:])\n",
    "    bathyZ=np.copy(bathy.variables['Bathymetry'][:,:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def byDepth(ax,obsvar,modvar,lims):\n",
    "    ps=et.varvarPlot(ax,data,obsvar,modvar,'Z',(15,22),'z','m',('mediumseagreen','darkturquoise','navy'))\n",
    "    l=ax.legend(handles=ps)\n",
    "    ax.set_xlabel('Obs')\n",
    "    ax.set_ylabel('Model')\n",
    "    ax.plot(lims,lims,'k-',alpha=.5)\n",
    "    ax.set_xlim(lims)\n",
    "    ax.set_ylim(lims)\n",
    "    ax.set_aspect(1)\n",
    "    return ps,l\n",
    "\n",
    "def byRegion(ax,obsvar,modvar,lims):\n",
    "    ps1=et.varvarPlot(ax,dJDF,obsvar,modvar,cols=('b',),lname='SJDF')\n",
    "    ps2=et.varvarPlot(ax,dSJGI,obsvar,modvar,cols=('c',),lname='SJGI')\n",
    "    ps3=et.varvarPlot(ax,dSOG,obsvar,modvar,cols=('y',),lname='SOG')\n",
    "    ps4=et.varvarPlot(ax,dNSOG,obsvar,modvar,cols=('m',),lname='NSOG')\n",
    "    l=ax.legend(handles=[ps1[0][0],ps2[0][0],ps3[0][0],ps4[0][0]])\n",
    "    ax.set_xlabel('Obs')\n",
    "    ax.set_ylabel('Model')\n",
    "    ax.plot(lims,lims,'k-',alpha=.5)\n",
    "    ax.set_xlim(lims)\n",
    "    ax.set_ylim(lims)\n",
    "    ax.set_aspect(1)\n",
    "    return (ps1,ps2,ps3,ps4),l\n",
    "\n",
    "def bySeason(ax,obsvar,modvar,lims):\n",
    "    for axi in ax:\n",
    "        axi.plot(lims,lims,'k-')\n",
    "        axi.set_xlim(lims)\n",
    "        axi.set_ylim(lims)\n",
    "        axi.set_aspect(1)\n",
    "        axi.set_xlabel('Obs')\n",
    "        axi.set_ylabel('Model')\n",
    "    ps=et.varvarPlot(ax[0],JFM,obsvar,modvar,cols=('crimson','darkturquoise','navy'))\n",
    "    ax[0].set_title('Jan-Mar')\n",
    "    ps=et.varvarPlot(ax[1],Apr,obsvar,modvar,cols=('crimson','darkturquoise','navy'))\n",
    "    ax[1].set_title('Apr')\n",
    "    ps=et.varvarPlot(ax[2],MJJA,obsvar,modvar,cols=('crimson','darkturquoise','navy'))\n",
    "    ax[2].set_title('May-Aug')\n",
    "    ps=et.varvarPlot(ax[3],SOND,obsvar,modvar,cols=('crimson','darkturquoise','navy'))\n",
    "    ax[3].set_title('Sep-Dec')\n",
    "    return \n",
    "\n",
    "def ErrErr(fig,ax,obsvar1,modvar1,obsvar2,modvar2,lims1,lims2):\n",
    "    m=ax.scatter(data[modvar1]-data[obsvar1],data[modvar2]-data[obsvar2],c=data['Z'],s=1,cmap='gnuplot')\n",
    "    cb=fig.colorbar(m,ax=ax,label='Depth (m)')\n",
    "    ax.set_xlim(lims1)\n",
    "    ax.set_ylim(lims2)\n",
    "    ax.set_aspect((lims1[1]-lims1[0])/(lims2[1]-lims2[0]))\n",
    "    return m,cb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,2,figsize = (13,6))\n",
    "viz_tools.set_aspect(ax[0], coords = 'map')\n",
    "ax[0].plot(data['Lon'], data['Lat'], 'ro',label='data')\n",
    "ax[0].plot(data.loc[data.Si>75,['Lon']],data.loc[data.Si>75,['Lat']],'*',color='y',label='high Si')\n",
    "grid = nc.Dataset('/data/vdo/MEOPAR/NEMO-forcing/grid/bathymetry_201702.nc')\n",
    "viz_tools.plot_coastline(ax[0], grid, coords = 'map',isobath=.1)\n",
    "ax[0].set_ylim(48, 50.5)\n",
    "ax[0].legend()\n",
    "ax[0].set_xlim(-125.7, -122.5);\n",
    "ax[0].set_title('Observation Locations');\n",
    "\n",
    "viz_tools.set_aspect(ax[1], coords = 'map')\n",
    "#ax[1].plot(data['Lon'], data['Lat'], 'ro',label='data')\n",
    "dJDF=data.loc[(data.Lon<-123.6)&(data.Lat<48.6)]\n",
    "ax[1].plot(dJDF['Lon'],dJDF['Lat'],'b.',label='JDF')\n",
    "dSJGI=data.loc[(data.Lon>=-123.6)&(data.Lat<48.9)]\n",
    "ax[1].plot(dSJGI['Lon'],dSJGI['Lat'],'c.',label='SJGI')\n",
    "dSOG=data.loc[(data.Lat>=48.9)&(data.Lon>-124.0)]\n",
    "ax[1].plot(dSOG['Lon'],dSOG['Lat'],'y.',label='SOG')\n",
    "dNSOG=data.loc[(data.Lat>=48.9)&(data.Lon<=-124.0)]\n",
    "ax[1].plot(dNSOG['Lon'],dNSOG['Lat'],'m.',label='NSOG')\n",
    "grid = nc.Dataset('/data/vdo/MEOPAR/NEMO-forcing/grid/bathymetry_201702.nc')\n",
    "viz_tools.plot_coastline(ax[1], grid, coords = 'map')\n",
    "ax[1].set_ylim(48, 50.5)\n",
    "ax[1].legend()\n",
    "ax[1].set_xlim(-125.7, -122.5);\n",
    "\n",
    "# Also set up seasonal groupings:\n",
    "iz=(data.Z<15)\n",
    "JFM=data.loc[iz&(data.dtUTC<=dt.datetime(year,4,1)),:]\n",
    "Apr=data.loc[iz&(data.dtUTC<=dt.datetime(year,5,1))&(data.dtUTC>dt.datetime(year,4,1)),:]\n",
    "MJJA=data.loc[iz&(data.dtUTC<=dt.datetime(year,9,1))&(data.dtUTC>dt.datetime(year,5,1)),:]\n",
    "SOND=data.loc[iz&(data.dtUTC>dt.datetime(year,9,1)),:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "statsubs=OrderedDict({'z < 15 m':data.loc[data.Z<15],\n",
    "                      '15 m < z < 22 m':data.loc[(data.Z>=15)&(data.Z<22)],\n",
    "                      'z >= 22 m':data.loc[data.Z>=22],\n",
    "                      'z > 50 m':data.loc[data.Z>50],\n",
    "                      'all':data,\n",
    "                      'z < 15 m, JFM':JFM,\n",
    "                      'z < 15 m, Apr':Apr,\n",
    "                      'z < 15 m, MJJA':MJJA,\n",
    "                      'z < 15 m, SOND': SOND})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Nitrate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_42756024_72b0_11ea_a93b_10c37b4d93ce\" ><thead>    <tr>        <th class=\"blank\" ></th>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" colspan=4></th>    </tr>    <tr>        <th class=\"blank\" ></th>        <th class=\"blank level1\" ></th>        <th class=\"col_heading level1 col0\" >Bias</th>        <th class=\"col_heading level1 col1\" >N</th>        <th class=\"col_heading level1 col2\" >RMSE</th>        <th class=\"col_heading level1 col3\" >WSS</th>    </tr>    <tr>        <th class=\"index_name level0\" ></th>        <th class=\"index_name level1\" >Subset</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_42756024_72b0_11ea_a93b_10c37b4d93celevel0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <th id=\"T_42756024_72b0_11ea_a93b_10c37b4d93celevel1_row0\" class=\"row_heading level1 row0\" >z < 15 m</th>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow0_col0\" class=\"data row0 col0\" >-0.845001</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow0_col1\" class=\"data row0 col1\" >230</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow0_col2\" class=\"data row0 col2\" >4.8863</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow0_col3\" class=\"data row0 col3\" >0.887092</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_42756024_72b0_11ea_a93b_10c37b4d93celevel0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <th id=\"T_42756024_72b0_11ea_a93b_10c37b4d93celevel1_row1\" class=\"row_heading level1 row1\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow1_col0\" class=\"data row1 col0\" >-0.287201</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow1_col1\" class=\"data row1 col1\" >72</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow1_col2\" class=\"data row1 col2\" >3.71001</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow1_col3\" class=\"data row1 col3\" >0.558504</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_42756024_72b0_11ea_a93b_10c37b4d93celevel0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <th id=\"T_42756024_72b0_11ea_a93b_10c37b4d93celevel1_row2\" class=\"row_heading level1 row2\" >z >= 22 m</th>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow2_col0\" class=\"data row2 col0\" >-0.682046</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow2_col1\" class=\"data row2 col1\" >758</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow2_col2\" class=\"data row2 col2\" >2.95439</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow2_col3\" class=\"data row2 col3\" >0.744281</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_42756024_72b0_11ea_a93b_10c37b4d93celevel0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <th id=\"T_42756024_72b0_11ea_a93b_10c37b4d93celevel1_row3\" class=\"row_heading level1 row3\" >z > 50 m</th>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow3_col0\" class=\"data row3 col0\" >-0.689607</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow3_col1\" class=\"data row3 col1\" >589</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow3_col2\" class=\"data row3 col2\" >2.7814</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow3_col3\" class=\"data row3 col3\" >0.711584</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_42756024_72b0_11ea_a93b_10c37b4d93celevel0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <th id=\"T_42756024_72b0_11ea_a93b_10c37b4d93celevel1_row4\" class=\"row_heading level1 row4\" >all</th>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow4_col0\" class=\"data row4 col0\" >-0.690585</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow4_col1\" class=\"data row4 col1\" >1060</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow4_col2\" class=\"data row4 col2\" >3.51528</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow4_col3\" class=\"data row4 col3\" >0.894704</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_42756024_72b0_11ea_a93b_10c37b4d93celevel0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <th id=\"T_42756024_72b0_11ea_a93b_10c37b4d93celevel1_row5\" class=\"row_heading level1 row5\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow5_col0\" class=\"data row5 col0\" >-0.119254</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow5_col1\" class=\"data row5 col1\" >3</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow5_col2\" class=\"data row5 col2\" >2.54268</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow5_col3\" class=\"data row5 col3\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_42756024_72b0_11ea_a93b_10c37b4d93celevel0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <th id=\"T_42756024_72b0_11ea_a93b_10c37b4d93celevel1_row6\" class=\"row_heading level1 row6\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow6_col0\" class=\"data row6 col0\" >2.68279</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow6_col1\" class=\"data row6 col1\" >60</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow6_col2\" class=\"data row6 col2\" >5.13338</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow6_col3\" class=\"data row6 col3\" >0.530026</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_42756024_72b0_11ea_a93b_10c37b4d93celevel0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <th id=\"T_42756024_72b0_11ea_a93b_10c37b4d93celevel1_row7\" class=\"row_heading level1 row7\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow7_col0\" class=\"data row7 col0\" >-2.1997</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow7_col1\" class=\"data row7 col1\" >59</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow7_col2\" class=\"data row7 col2\" >5.3411</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow7_col3\" class=\"data row7 col3\" >0.873868</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_42756024_72b0_11ea_a93b_10c37b4d93celevel0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <th id=\"T_42756024_72b0_11ea_a93b_10c37b4d93celevel1_row8\" class=\"row_heading level1 row8\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow8_col0\" class=\"data row8 col0\" >-2.08498</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow8_col1\" class=\"data row8 col1\" >108</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow8_col2\" class=\"data row8 col2\" >4.5214</td>\n",
       "                        <td id=\"T_42756024_72b0_11ea_a93b_10c37b4d93cerow8_col3\" class=\"data row8 col3\" >0.789183</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f7258706850>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obsvar='N'\n",
    "modvar='mod_nitrate'\n",
    "statsDict[year]['NO3']=OrderedDict()\n",
    "for isub in statsubs:\n",
    "    statsDict[year]['NO3'][isub]=dict()\n",
    "    var=statsDict[year]['NO3'][isub]\n",
    "    var['N'],mmean,omean,var['Bias'],var['RMSE'],var['WSS']=et.stats(statsubs[isub].loc[:,[obsvar]],\n",
    "                                                                     statsubs[isub].loc[:,[modvar]])\n",
    "tbl,tdf=et.displayStats(statsDict[year]['NO3'],level='Subset',suborder=list(statsubs.keys()))\n",
    "tbl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,2,figsize = (16,7))\n",
    "ps,l=byDepth(ax[0],obsvar,modvar,(0,40))\n",
    "ax[0].set_title('NO$_3$ ($\\mu$M) By Depth')\n",
    "\n",
    "ps,l=byRegion(ax[1],obsvar,modvar,(0,40))\n",
    "ax[1].set_title('NO$_3$ ($\\mu$M) By Region');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x237.6 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x21.6 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,4,figsize = (16,3.3))\n",
    "bySeason(ax,obsvar,modvar,(0,30))\n",
    "fig,ax=plt.subplots(1,1,figsize=(20,.3))\n",
    "ax.plot(data.dtUTC,np.ones(np.shape(data.dtUTC)),'k.')\n",
    "ax.set_xlim((dt.datetime(year,1,1),dt.datetime(year,12,31)))\n",
    "ax.set_title('Data Timing')\n",
    "ax.yaxis.set_visible(False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,2,figsize=(12,4))\n",
    "ax[0].set_xlabel('Density Error (kg m$^{-3}$)')\n",
    "ax[0].set_ylabel('NO$_3$ ($\\mu$M) Error')\n",
    "m,cb=ErrErr(fig,ax[0],'rho','mod_rho',obsvar,modvar,(-3,3),(-15,15))\n",
    "ax[1].set_xlabel('Salinity Error (g kg$^{-1}$)')\n",
    "ax[1].set_ylabel('NO$_3$ ($\\mu$M) Error')\n",
    "m,cb=ErrErr(fig,ax[1],'AbsSal','mod_vosaline',obsvar,modvar,(-2.5,2.5),(-15,15))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dissolved Silica"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93ce\" ><thead>    <tr>        <th class=\"blank\" ></th>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" colspan=4></th>    </tr>    <tr>        <th class=\"blank\" ></th>        <th class=\"blank level1\" ></th>        <th class=\"col_heading level1 col0\" >Bias</th>        <th class=\"col_heading level1 col1\" >N</th>        <th class=\"col_heading level1 col2\" >RMSE</th>        <th class=\"col_heading level1 col3\" >WSS</th>    </tr>    <tr>        <th class=\"index_name level0\" ></th>        <th class=\"index_name level1\" >Subset</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93celevel0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <th id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93celevel1_row0\" class=\"row_heading level1 row0\" >z < 15 m</th>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow0_col0\" class=\"data row0 col0\" >-7.60506</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow0_col1\" class=\"data row0 col1\" >230</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow0_col2\" class=\"data row0 col2\" >14.4057</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow0_col3\" class=\"data row0 col3\" >0.693065</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93celevel0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <th id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93celevel1_row1\" class=\"row_heading level1 row1\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow1_col0\" class=\"data row1 col0\" >-5.77137</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow1_col1\" class=\"data row1 col1\" >72</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow1_col2\" class=\"data row1 col2\" >10.4514</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow1_col3\" class=\"data row1 col3\" >0.483425</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93celevel0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <th id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93celevel1_row2\" class=\"row_heading level1 row2\" >z >= 22 m</th>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow2_col0\" class=\"data row2 col0\" >-5.54415</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow2_col1\" class=\"data row2 col1\" >758</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow2_col2\" class=\"data row2 col2\" >8.32201</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow2_col3\" class=\"data row2 col3\" >0.725874</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93celevel0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <th id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93celevel1_row3\" class=\"row_heading level1 row3\" >z > 50 m</th>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow3_col0\" class=\"data row3 col0\" >-5.48</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow3_col1\" class=\"data row3 col1\" >589</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow3_col2\" class=\"data row3 col2\" >8.0562</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow3_col3\" class=\"data row3 col3\" >0.731126</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93celevel0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <th id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93celevel1_row4\" class=\"row_heading level1 row4\" >all</th>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow4_col0\" class=\"data row4 col0\" >-6.00676</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow4_col1\" class=\"data row4 col1\" >1060</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow4_col2\" class=\"data row4 col2\" >10.0982</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow4_col3\" class=\"data row4 col3\" >0.765622</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93celevel0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <th id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93celevel1_row5\" class=\"row_heading level1 row5\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow5_col0\" class=\"data row5 col0\" >-1.26711</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow5_col1\" class=\"data row5 col1\" >3</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow5_col2\" class=\"data row5 col2\" >2.17827</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow5_col3\" class=\"data row5 col3\" >0.374251</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93celevel0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <th id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93celevel1_row6\" class=\"row_heading level1 row6\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow6_col0\" class=\"data row6 col0\" >5.89464</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow6_col1\" class=\"data row6 col1\" >60</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow6_col2\" class=\"data row6 col2\" >11.7713</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow6_col3\" class=\"data row6 col3\" >0.277451</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93celevel0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <th id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93celevel1_row7\" class=\"row_heading level1 row7\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow7_col0\" class=\"data row7 col0\" >-14.5246</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow7_col1\" class=\"data row7 col1\" >59</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow7_col2\" class=\"data row7 col2\" >17.9863</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow7_col3\" class=\"data row7 col3\" >0.621507</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93celevel0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <th id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93celevel1_row8\" class=\"row_heading level1 row8\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow8_col0\" class=\"data row8 col0\" >-11.5008</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow8_col1\" class=\"data row8 col1\" >108</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow8_col2\" class=\"data row8 col2\" >13.7153</td>\n",
       "                        <td id=\"T_4369882a_72b0_11ea_a93b_10c37b4d93cerow8_col3\" class=\"data row8 col3\" >0.514492</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f7284503e50>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obsvar='Si'\n",
    "modvar='mod_silicon'\n",
    "statsDict[year]['dSi']=OrderedDict()\n",
    "for isub in statsubs:\n",
    "    statsDict[year]['dSi'][isub]=dict()\n",
    "    var=statsDict[year]['dSi'][isub]\n",
    "    var['N'],mmean,omean,var['Bias'],var['RMSE'],var['WSS']=et.stats(statsubs[isub].loc[:,[obsvar]],\n",
    "                                                                     statsubs[isub].loc[:,[modvar]])\n",
    "tbl,tdf=et.displayStats(statsDict[year]['dSi'],level='Subset',suborder=list(statsubs.keys()))\n",
    "tbl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mv=(0,80)\n",
    "fig, ax = plt.subplots(1,2,figsize = (16,7))\n",
    "ps,l=byDepth(ax[0],obsvar,modvar,mv)\n",
    "ax[0].set_title('Dissolved Silica ($\\mu$M) By Depth')\n",
    "\n",
    "ps,l=byRegion(ax[1],obsvar,modvar,mv)\n",
    "ax[1].set_title('Dissolved Silica ($\\mu$M) By Region');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x237.6 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x21.6 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,4,figsize = (16,3.3))\n",
    "bySeason(ax,obsvar,modvar,mv)\n",
    "fig,ax=plt.subplots(1,1,figsize=(20,.3))\n",
    "ax.plot(data.dtUTC,np.ones(np.shape(data.dtUTC)),'k.')\n",
    "ax.set_xlim((dt.datetime(year,1,1),dt.datetime(year,12,31)))\n",
    "ax.set_title('Data Timing')\n",
    "ax.yaxis.set_visible(False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,2,figsize=(12,4))\n",
    "ax[0].set_xlabel('Density Error (kg m$^{-3}$)')\n",
    "ax[0].set_ylabel('dSi Error ($\\mu$M)')\n",
    "m,cb=ErrErr(fig,ax[0],'rho','mod_rho',obsvar,modvar,(-3,3),(-25,25))\n",
    "ax[1].set_xlabel('Salinity Error (g kg$^{-1}$)')\n",
    "ax[1].set_ylabel('dSi Error ($\\mu$M)')\n",
    "m,cb=ErrErr(fig,ax[1],'AbsSal','mod_vosaline',obsvar,modvar,(-2.5,2.5),(-25,25))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Profiles of NO3 and Dissolved Silica"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'dSi')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,2,figsize = (15,8))\n",
    "cols=('crimson','red','orangered','darkorange','gold','chartreuse','green','lightseagreen','cyan',\n",
    "      'darkturquoise','royalblue','lightskyblue','blue','darkblue','mediumslateblue','blueviolet',\n",
    "      'darkmagenta','fuchsia','deeppink','pink')\n",
    "ii0=start_date\n",
    "for ii in range(0,int((end_date-start_date).days/30)):\n",
    "    iii=(data.dtUTC>=(start_date+dt.timedelta(days=ii*30)))&(data.dtUTC<(start_date+dt.timedelta(days=(ii+1)*30)))\n",
    "    ax[0].plot(data.loc[iii,['mod_nitrate']].values-data.loc[iii,['N']].values, data.loc[iii,['Z']].values, \n",
    "        '.', color = cols[ii],label=str(ii))\n",
    "    ax[1].plot(data.loc[iii,['mod_silicon']].values-data.loc[iii,['Si']].values, data.loc[iii,['Z']].values, \n",
    "        '.', color = cols[ii],label=str(ii))\n",
    "for axi in (ax[0],ax[1]):\n",
    "    axi.legend(loc=4)\n",
    "    axi.set_ylim(400,0)\n",
    "    axi.set_ylabel('Depth (m)')\n",
    "ax[0].set_xlabel('Model - Obs')\n",
    "ax[1].set_xlabel('Model - Obs')\n",
    "ax[0].set_xlim(-15,15)\n",
    "ax[1].set_xlim(-40,20)\n",
    "ax[0].set_title('NO3')\n",
    "ax[1].set_title('dSi')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# dSi:NO3 Ratios"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f7284f95af0>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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FxTQ0NESfu1wutNbRawghkotdBhPZR3DJrUso2lQkW0gIEWMixUeQGCnEWJOboZOPdA09BU67Pe0BLpYjyV3XQCAQt8zF6/VGl8lIMbwQIxNZBmP0GViyLdHkTxJAIZKbaPERJEYKMVYiN0MDzQEcZQ6JhZOAzAhmCJ/PR2FhIY2Njfj9/mhhe25uLi6Xi/b2dhobGwGz1uGxxx6LC2YFBQV4vd7oBruBQCC635IQIjlZBiNEZpAYKURq2J12FtculiRwkpBEMEO4XC7q6uqoq6ujpKSE8vJygGiQcjgcPProo+Tk5FBYWIjL5cLr9cZdo6amhqamJhoaGsjJyaGkpAS/3z/kPCGESZbBCJEZJEYKIcToKa11usdwykpLS/WJ9gzavn07F1xwQQpHJJKRn4PIZMGWoCyDmSCUUm1a69J0jyNTSIyc+ORnIIQYC6caH6VGUAghTkBqAoUQQggxGcnSUCGEOIlgS5CXPvYSbe9uY1/9vnQPRwghhBDitKV0RlAp1QM4gLiOC1rrHKWUA7ga8AMFgE9r7U/l+IQQIlGwJcjWD2xFh8xl9If/dhiA/Kr8dA5LTDISH4UQQqRayhLBcCCr1Fr7Eo5F1rN6AY/WOhB+rQGoTNX4hBAiVqQ28Phrx6NJYMSBxw9IIijGjMRHIYQQ6ZDKGcHc2CAXdrXWuj78dWkkyIUdUkoVa63bUzQ+IYQA4vcPVFkKrMDA4OvzrpqXtrGJSUnioxBCiJRLWY1g4jIWpVQx4At/7QIOJbwlALhSMzohxFQWbAmyZ/0egi1BIH7/QN2vsV9ixzLLgpqmOOtfz4rOBia+T4hTIfFRCJFJ9tXvo+PSDqmZnwTS2TW0NOZu55C6COAgUJjaIQkhpprY2T9LtoWiTUU4yhyoLIU2NBgQfHYw0XvjoTeYdvY05l45d8j7pLuoGCMSH4UQE9K++n3sqN4BQM8zPYDUzGeytHQNDd/tjL0DmpvktMTAF3lvlVKqVSnVeuDAgXEZnxBi6oid/TP6DALN5q8ebWjQmH8SvP6D1+l+sDvp+4Q4HacTH8PvlxgphBg3Bx6P/73SdV9XmkYixkK6to+oTaiHSFz2AuZd0CG01vVa61Ktdem8eVKnI4Q4PY4yB5ZsC1jBkm3BUeYwk7r+E7wpnBwmvk+IMXDK8REkRgohxldijfyRLUekPCKDpWtpaGJtQ4ChgW0OsDs1wxFCTFV2p52iTUUEmgM4yhzR5Z0qW6F7k0wHApbpFvLW5JG3Jm/I+4Q4TRIfhRATVn5VPof+cIg3f/0mYK6eCTQHJAZmqJQnguFlL3F3OLXWPqWUN+FUB/BoygYmhJiy7E57XBCzO+2s+p9VdD/YTV93H4f+cAjdr1FWRd51ZgIYOf9kwS8YbCEQaMbhKMNud47r9yEym8RHIUQmOKfmHA7+4SC6T6OylKyIyWDpWBqaS/L6Br9SqiDmeYG0xh6qurqanJwclFKUlJRQX18/5Jz6+npKSkqi5zQ2Ng57PZ/Ph9vtRilFTk4Obrcbny+xi7kQk1cw2MKePesJBlvijtudds67+zwW1Swi77N5LFi7gFXNq6KzgCNZChMMttDRUU5n5zo6OsqHfIYQCSQ+niaJkUKkiE54FBkpXUtD/UmOrQWuVkr5gQKgOrVDmvjcbjcAbW1t5Obm4vP5aGpqijunsrKS9vZ2GhoaKCgooLW1lcrKSp5//nm83vibyhs2bMDj8VBXV0dDQwOHDh3C5/PR3t6OyyWdycXkF0nUDKMPiyWboqJNcbN2wZYgWz+41bzrma3Imp3F3tv3og2NZdrJO4UGAs0YRh8wgGH0EQg0y6ygOBmJj6dIYqQQqRFoDqAHzIZqekCWhmYypXXmpvKlpaW6tbV12Ne3b9/OBRdckMIRjZ9AIEBOTg49PT04HMmn4BsbG1m7di2dnZ1x50Te29bWRnFxMQB+v5/CwsK4Y+NlMv0cxMQUbAmeUq3enj3r6exch7lbvJUlS25l8eLa6OuvfOEVun4W0xFNMXj30wJLvrOExbWLhx/XSRJNMTpKqTatdWm6x5EpJEbGm4gxcjL9DMTUkWzbJUkE0+tU42O6uoZmtOGWkqXCiYK6x+OhtrZ2SBB0OBxUVVXh8XjiznW5XOOeBAox3iIBqXNdJx3lHaPqXuZwlGGxZANWLJZsHI6yE78h5r6Zspy8LsJud1JUtIklS26VJFBMCemMjyAxUohUiDRZW3LrEkkCM5wkgqOUrpofh8NBTU0Nbrcbj8dDe/vQ8hC/3z9s0HK73XEBsr29ncrKynEbrxCpMtw+gCNxskQtb00eKluZM4FZoKYp87emBRZ+deGIgp/d7mTx4lpJAsWkl86aWImRQqSW3Wlnce1iSQIznCSCo5Ss5idVvF4vDQ0NtLe3U1JSQmFhYTTY+f1mWUlBQUHS9zocDgKBwX8g+/1+cnOT7VMsRGZJtg/gaJwoUbM77axqXsWC6gXMfu9ssvOyo6/tvWMvr3zhFdk/SYiwdMZHkBgphBCjJYngKI16KdkYq6iooKmpCa01LpeL8vJyAoFANLhFgl0iv98ftxymoKCAQ4cGu5T7fD6UUtEuakJkilQsUem6r4u3nn2L3j29YAAG6F6DrrquUS9HFWKySnd8BImRQggxGpIIjtJEqvmpq6sDiLayLigoGNIhLaKpqYnS0sEa0uLiYhoaGqLPXS4XWuvoNYXIJGOxRCXYEmTP+j1DkrpAcwBCiWfr6MNol6MKMVlNpPgIEiOFGCuJ8XG4eCkyT7q2j8hodrsz7QEuVuQuptfrpbKyckgxvN/vp7GxMS4Aer3e6LIZKYYXU92JOqDZ5tgSztbmH8sAoFA22UxXiIiJFh9BYqQQpyMxPi7duJRd1+/C6DVQVsWyO5eRX5Wf7mGKUyQzghnC5/NRWFhIY2Mjfr8/Wsiem5sb3c+ooqKCiooKSkpK8Pl8BAIBfD4fJSUl1NTUxO17VFBQgNfrjW64GwgE8Pv9tLW1petbFCJtuh/sxjgebjjTa/Dqza+yr34fe9bv4fCWwwm/KVX4jwUuf5plv5kuxfJCpJnESCHGR2JDtgOPH8DoNcwSiZBm5xd3ysxgBpMZwQzhcrmoq6vD6/VGO5u5XK4hQamhoYH6+vpo17Ti4mLuueceKioqhlyzpqaG4uJivF4v1dXVOBwOSktLh2yqK8RkFmwJ0n1/9+DWEAb0NPXQ80wPWEBlmbN+us+I2T5CgVbMOnI5M898R5pGLoSIkBgpxPiINGQz+gxUNljKWuGPhWa9PKAN2VA+k8mG8mLcyc9BTATDbTq/Z/0eOtd1mnvKJ2OFM94NR5+L/V2pAQXKTBIXXr+QI1uPMO+qebJEZhzJhvKjIzFy4pOfgcgEwZYg3U+9QPf8L6N1CP77E9ByiVklMU02lJ8ITjU+yoygEGLSO1ENYNzdTqu5Z6AOafNupwVUNhwP7gEWYS4J1WALQWgaaNB9mtc3vA5AzzM9HPrDIc6pOUeCohBCiEnB7rQTyP8T+rch+MoPoN8GVoMFa88mb02exLsMJomgEGJSip0BTLbpfCRwRbafiJz79pGXONC0C9vcaRzrfoPDXdvQzavDVw3PCoayk38o8Oav3+Tg7w5KAb0QQohJw+Eog2cOheOfgn7zuCSBmU0SQSHEpJOsy1lk1i/ZpvN2px27004w2MKuDjfGR3oBA578Z/jvG2LODM8IogYPWYjWSkRECuhnXjhTgqQQQoiMZ7c7mTsnxJvD1lGITCRdQ4UQk07iDGDoYIilT1jJ+eoelj5hHTY5CwSaMYw+opnds5GZwEjiF5MEKsAa/tKmOOOCM+J+o0YK6IUQQojJ4Jy1RahpFrNEfpoib01euockTpPMCAohJp3Yuj9LtgVb6V52TXNjfKSPoCWbmcHkm107HGVYLNkYxjHzwOpnofWdxLQLjflamV8aoNFMO2cac66Yw97b96INjWXa0JlHIYQQIhMFgy0E8ptZ9uRqQq0LhzReE5lJEkEhpoCWFmhuhrIycE6svZ7HRaTur/upF6BoK4cXbcPo6gMGMIw+AoHm5Jteb1vB/E1Pc3TZwwQX/gyu+J15/L8+CwdyMKf8wrOCOvw0vDS0x9dDcHOQZXctI3QwJEFSCCHEpBAMttDRUY5h9KF2XkTe8TsAudE5GUgiKMQk19IC5eXQ1wfZ2bBp0+RIBofbDiJqxTb2hy41A1d3FkpZ0Roslmyz6D3hOrY5Nnb+x050nwZbJdy+GdCwcxkcms1gfeCgOVfMwThq0OPrAWNwGeri2sUEgy3s2dOMw1GWPOkUQgghMkC0bOLl89Bf+R5d/f10r99K3ufypGtohpNEUIhJrrnZTAIHBszH5ubMTwRPtB1ExGC93wBaw4IFa5k+fVFcYhZ7HWBwL8E+BY9cDa3vgr5s0AozETTAokFbUTbFoppF5nU2B+Ma0cTePbVYsikqSr4UVQghhJjoomUTT18KIRug0CFNV10X+x/YL/sIZjBJBIWY5MrKzJnAyIxgWVm6R3T6TrQdRMRgvZ+ZjM167dOEWhdCmQOcQ68T2wgUgINzzYCnw8tB1QBkhzjHO5Oso4viZiJjt5+wO+3s2TOYhJ5wKaoQQggxwdntToqKNrFr1qscjg2WevgYLDKDJIJCTHJOp7kcdDLVCCY2g0nWlCUSuAKBZmw7VrPrXwYw+jrjZhDjNpPPAt3fB4YVsvph1RbYuRwsA5AFsyreYMFnFpHvviT6Gfua/syBpl3Mcy9lce3g8cQkNHYpqhBCCJFp7HYnS7+0gq2NW9EhHS2XHy4Gi8wgiaAQU4DTOTkSwIjETeCHuxNptzux253seXgPRl9neAZxgO6nXsDufH/cdY6f9xu6uuph60UwOwh3fQkMBUpzxgcCzJh3Nq/d+gbHtm2m8MvvZ1/Tn9lxxWEILaTnx4fhyT9Hk8TYJFRqBIUQQkwGdqedZT9Zxo7P74geW7pxqcwGZjDZRzBDVFdXo5Siuro67nh7eztKJa5pM8/PyclBKUVJSQn19fVDzqmvr6ekpCR6TmNj47Cf7/P5cLvdKKXIycnB7Xbj8/lO/xsT4hTZnXYW1y4eUQBylDlQ2YClH7J66Z7/ZYLBlrjr5JWXYrlwN/zrf8Nb9vCyUCsYVo42zeGNOwY4vtnB69f3s/uOzRxo2mWeY1ghlGU+jx2f3cnixbWSBAqRAhIjhUiN7oe6QYcbp2ltPhcZSxLBDFJQUEB9fT2BwIk3qXa73fj9ftra2ujp6aG2tpa2tra4cyorK/F6vdxzzz309PTg9XpZu3YtHo9nyPU2bNiA2+2msrKSnp4e2traqKyspL29fUy/PyFGKtgSZM/6PQRbgiM63+60k/eLF+Gffw8fehqtQwQCzfHnhGfxFiyoglUvgnWAuD0DYx4PPP4m89xLwRYyk0tbv/lcCJE2EiOFGHtmB+z10Zunb+88GPd64nORWWRpaAZxuVy0trZSX19PTU1N0nMCgQA+n4+enh4cDnPNdkVFBRUVFdFzGhsb8fl8dHZ2Rs9xuVx0dnaSk5PDNddcQ3FxMQB+vx+Px0NbW1v0mMPhoKqqajy/VTHFnWhriJF0DE1m1qxiup5ZZs7iPXMptuWzYHH8Z8EKjv/qPbD4T3DZH+DJK4i/X2YmhtNm50LnEuZ8ahd9fftYcO05cbWDU8VU259STGwSI4UYW8k6YGdd9jwD/+kkEg+zLnsecKd1nOLUyYzgKRjtbMRYqq2tZf369Sc9r7W1ddjXPB4PtbW10QAXEQlesXc8PR4PLpcrGuCEGAsn+n8okuh1ruuko7xjyDnJOoaORKh1IfRPN5dy9k8n1LqQYEuQrR/cSuc3OtnygS1s/eBWem5fDDd8H2a+bW4VAeGN4wdnBYO/0+yo3sHBBwze/mU+M898x2n8bWSmyP6U69aZjy0t6R6RmAjSGR9BYqQQY2Vf/T62X9GN8UQ5sR2wF39nLnziYTh7L3ziYfO5yFiSCI7Syf6ROt4qKirIzc1NWs8AZqCqqanB7Xbj8XiSLk3x+/3DBi232x0XINvb26msrBybwQvB6Sd6kU6fWM1uZbY5thH9wzP2fco2gK10L69teA3dG+5+FsL8egAITYeGT+1JWI0AACAASURBVJhJY4QBQ/aYMEaXjE4mDz4Ix4/H708pprZ0x0eQGCnEWNhXv48d1Ts4vjkHbv8qPHl5tAN2fn4V53zy/Uz/+G7O+eT7yc+X2e9MJongKJ3qbMRY8ng8eL3eYV/3er00NDTQ3t5OSUkJhYWF0WDn9/sBs5YiGYfDEVdf4ff7yc3NHcPRi6lutIleYlvqSKfPJbcuYenGpey6fteI/uFpd9pZ+oQVdd3P0T+4np07/y8HnxymtkFpGIj59WhEvtAJ503N1tktLXD//YP9ArKyJsf+lOL0TIT4CBIjhTiRffvq6ei4lH37kt8sATjw+IGYZ4rpz19HUdEm7HYnu+/YzOtXLeT4XWX84xPnpm32X4yNlCeCSqlipVSVUqpCKVUVc9wRPu4KPyb/LZxmJ/tHaipUVVVx6NChE3Ywq6iooKmpCa01LpeL8vJyAoFANLhFgl0iv98ftxymoKCAQ4cORZ/7fD6UUtEuakKM1mgSveHq/yKdPkMHQ6P6h2do+bPoT/0CVr6E3rJyMJOJpQbgPX8GWx/xiV9406TwMWVTLKheMOIaxcmkudmcCQRQCj77WakRHAsSH8eGxEghktu3r54dO6rp6XmGHTuq2bevfkgzGIB5V82Le9+iT78bu93JvqY/8/oNx6FfmStieqfmipjJJKWJoFKqGKjWWtdrrRsBd/gYgBd4TGvt01rXh59POCP5R2oqVFVVjagOAqCurg4g2sq6oKCApqampOc2NTVRWloafV5cXExDQ0P0ucvlQmsdvaYQozWaRO9k/38l+4fniWqUIhu9gxV18cuoacr8LWgFbJidQrND8MlH4EdfgQs7QBkkzgRacvtYducyzrv7PIC01kSlQ1kZZGeD1QrTp8OaNekeUeaT+Di2JEYKMdSBA4/HPe/quo+OjnI6O9fR0VEeTQbzq/JZXrecnA/lsLxuOTMvnMmLH3uR3WuOwICV6E1RizHlVsRMNqnuGuoFYhfTr9VaR24llMZ8DXBIKVWstZ5w/ZftTnvaZwBqa2vZsGHDCQveE0XuYnq9XiorK4cUw/v9fhobG+MCoNfrjS6bkWJ4cbpiO3Qurl182tdL3FgeiOsounTjUkIHQ9Huo3EbvV9cBhevoPvBbvp693Mw90cQnAmrtsDKbfDyCtj2DtCKwZlAMyE0DtnY+cWdHNt9jL137EX3aVS2YtX/rEr774ZUcDph06bUdQzdvXs369atG98PST+Jj2NIYqQQQ82bdxU9Pc9En2dn53P4cBuxzWAie9/mV+WTX5VPsCXIltVboB9gGmYcNOslcj5unRD/v09lhmHw0EMPnfL7UzYjqJRykBDMIl8rpVzAoYS3BABXqsaXaSLdyxLrIHw+H4WFhTQ2NuL3+6OF7Lm5ubhc5l9npFV2SUkJPp8v2k67pKSEmpqa6Hlg3hn1er3RDXcDgUB0/yUhRiPYEmRr+RY6v+lna/mWYTuGjnZ2LXb2MK5G6bjBji/soPOb8fWDdrsTx75/J/DTfN5+8W32P7Cfgw8MwJ3Vg0kgwNMfir/zCcTuJ6j7Na//4PVosxndq+l+sDvpMpvJyOmE2trxTQIPHDjAf/zHf3D++efzxBNPjN8HpZnEx7EnMVKIofLzq1i+vI6cnA+xfHkdixbVRFfJRJrBJAo0B8JJYETk5qiFnsc0++r3pWTsYqhnnnmG4uJi1pzGspxULg0tBfzhGojicA1E5LepAzOwxToIFKZwfBnH4/EMqWNwuVzU1dVRV1dHSUkJ5eXlAEOCUkNDAx6PB4/HQ05ODh6Ph3vuuSdpgX1NTQ1NTU00NDSQk5NDSUkJfr//hMX4QiTqfuoF9PEBMBT6mMHr93TEvT4WHQejS0UtDN60TKhjiP2cnV/cidFrgKEglAVbV5kXenkFPHVZ+KqR2sDI1zGM+Od9vfuTLrMRo/P2229z2223UVhYyE9/+lM+97nPsWvXrnQPazxJfBwHEiOFGCo/v4qioqfJz6+KrpJZsuTWaDOYRI4yh1k+EWewg3bXfV3jO2AxxJYtW3C73Vx66aW89dZbPPzww6d8rVQuDS3ADGj+8J3OdqVUk1KqFUjWcitp9Wm4gL4KYNGiReM11gknWb1BQUEBOkmzC5fLFXfHcjhVVVUj3vR2pNcUYjh903eALiCSWL35QD/73rOP/Kp8IHnHwdEuOYksFX315lfpaeqJ5m3KoqJLR2M/R1s0yqrQSqOys5j9gdkEsZoJ4UAW8UtCFfFJoQG2/nCyaUPZLGRf3oFh9JFsmY04uf7+fn7+859z00030dXVxZVXXsn69es5//zz0z208TYm8REkRsaSGCnEydntzpPGKWVV6AENCmzn9hLqzCYSC6flT0vBKAXAq6++yje/+U0eeugh5syZw8aNG/n85z/PtGnT+NSnPnVK10xlIngICCTUObRjBqxk7bmSVp+GC+XrAUpLS5O0/BNCTCSRukC1cxnm+pLwQgRDsfNLO5l54UzsTnt0Ni9S33eqBeh2p51zbz6X4OagOdtngdxv74IV2YBz8HN6DZRFsfArC8lyZNF/xmvsffYYFF0Aq14AWwh6I0tgBpeEYgGyBuDS38GlT5uHO4pZVvl5oJjuhz+NLmrDcuHupMtsMklLS2rqALXWPPnkk9x4441s374dp9NJQ0MDl1xyyfh96MQyJvERJEYKIcZWoDlgJoEAaEJHAmCZY+6za4Nzas5J6/imgkOHDnHbbbdx5513YrFYqK2txePxYLeffn1mKhPBZMEssrylnaGBbQ6we7wHJYQYP5FlmEafgbIqlM2CDg3OqukBHZ35S2z8cioF6LHNaIo2FfH6PR28efBJDs5+ip6O3ebSF6eTpRuXsvNLO9H9mr0/2svCryxk77f70H3/BtZPwmVPM/v/vUjvswvo3XQ2kanFWf+kmOtagq10Lzuz70TrkPnBK//O4UPvYv+ni9B9n0HZ/o2lv5me0bOBLS1QXm5uFp+dbTaHGY9k8K9//Stf//rX2bx5M8uXL+eXv/wlV155JUqpk7958pD4KISYkBxljsEZQQ0cOMt84cKt2JYfB6RJ0ng5duwYP/nJT1i/fj1vvfUWn/nMZ7jllltYuHDhmH1GymoEw93NkgYzrbWPoctfHIAvFWMTQoyPuGWYA5q8zy1gzpVzzXoDC1imxc/8jXTbiGT21e9j6+qt0eYwb7/4NgcfCcFvL4Mbvo/xYiGBQDMAoYOhaFDTIc3r338dfdxi3uEMZcOTl3P4e++kb/URtGUg+hmH/7cfW+le8t2XsGzZnSiVBViwWKZBx6rB77XPyoEfnJnRW0o0N5tJ4MCA+djcPLbX37lzJ5WVlbznPe9hx44d3H333bz00kt87GMfm2pJoMRHIcSEMqRxW9yv5PCTl4oI/fLdbP3g1oyOdRPRwMAADzzwAOeddx4ej4f3vve9dHR0cN99941pEgip3z7Cp5Qq0FpH7n4WM9gu25/wWsFEbI0thBi5xOWeeWvysDvtcTN3Y9F6OtgSjM7wgdkc5sDjB9Ahq1nDF9KojhJsH5vDnj3r6T/jffEX0IlfWNDHNQcfySHXiHQOBQas7Ljzl8x8l4X8/CpmzrzQ3IrCUQa2Fez/fke4+Qz0+HoIbg4O2cIiU0T2CozMCJaVjc1133jjDb797W9TV1fHtGnTuPnmm7nhhhs488wzx+YDMpfERyFE2sWu5LFkW5h/7fxobDWFvw5vrRTpmJ1J8W2i0lrz9NNPU1NTw4svvsg73/lOHnzwQcrGKgAnkdJEUGtdrZSqUUoFMO9oemJqItYCVyul/JiF89WpHJsQYuwNt9xzpHuNtQSDNAcClDkcOE+wFj6+hsFsDjPvqnlmnWCfgbIpFl7+T+za9XmMFwvBczHoacR3A1Vxj1qDoy8InBX/YQcd0SYwkT+RxHbpxqUcePwAPb6eaLfSnV/cidYaS7blpJtsp6ombyTGeq/AI0eOcPvtt/P973+fY8eOUVVVxbe+9S3mz58/FsPNeBIfhRATQWLjNiB6Qxcd7rIdbc1t6uvuS89gJ5G2tjZqamr44x//SEFBAY8++iiVlZXjvkIm1TOCaK03DHM8QLjAXQgxeYwk6Us2Q9gSDFLe0UGfYZBtsbCpqGjYZNBR5sAyzRJuDmOw8Ac28qvymXnhzOh1A/l/w+g8DlsvgpDNvJtpgez8bPr2xgYxMxlUaCyvFgAD6HDvbAXwt3dj2zGTln1mkrR6TpCB6+M3sY8moJZwXYVx8k6oqarJGw2n8/TH0N/fz3333ce3vvUt9u/fz1VXXcV3v/tdli9fPjaDnEQkPgoh0i3ZSp68NXkEmgPsa/kjvU+eS+LN00N/OESwJSizgqegs7OTb3zjGzzyyCPMnTuXH//4x1RXV5OdnZ2Sz095IiiEELESl6FEZs2aAwH6DIMBoM8waA4EhiSCsQnk0ies7Gy4H13Uxj8u3M3c4CZYAeQ3g6MM29tzAA2rtpodQUMala04d9255rLSUOLSFwWGQmGJ2TRCQb+N3b9cyKUPQGFvkGxepUQboM1N7A9vORydBbXNsbHr+l0j6oSarCYv3Yng6dBa88QTT3DjjTfyyiuv8L73vY9f/epXODP5mxJCiClg/rXmSo1ZF8+KxlhHmYPOm84NnxG/nZLu16e05dNUdvDgQb7zne9w1113kZWVxTe+8Q1qamqYPXt2SschiaAQYsyNpgYw2f6B21bAa8ePk6UUaE22xUKZw0Ew2EIg0Ixtx2oO/3Iu3f/Zje43l13O/0UH+lO/wNzDz0p394Ps3/8AhtGHxZLN/PnXAgpWboMf3hDd8iHfnc/BPxzk4K8PMhjcAHRMqItZQqqha+ceCnsdfN/oIBsDjTbP0dB1TxezLp7F4trFAHGzkif6uxivmrx0eO655/j617/Oc889x/nnn8+vf/1rPvrRj065JjBCCJFJYm/MYoEuowu02dgt9xPAgIHZ7U2DMiDLrMM/nS2fppqjR49yxx138L3vfY8jR45w3XXXcfPNN3P22WenZTySCAohTkskOXM4yqL1cslm+IaTuAxlb6kNd3hJqFUp1i5YwJq8PFawjY6OcrPG74aLoS8UzdmMPgM6VmEpz44mfoC5ufvL52FsLeboB4CFVjQDqJU7OOeyyzn4/B/o+mobllAR8ZvFh1NABUoT85p5/Ky3DlJiCWAzjHDr5cim8xYYgJ1f2gkQbRITSQpPZKxr8tLhlVdeoba2ll/96lfk5eVRV1fHddddR1aWhBohhJjoYm/MMtgwG+P4AEeP7gbLYhgIx8kLX2TOJ2YxG1fGNUNLh0gn0Jtuuol//OMfXHHFFaxfv56VK1emdVwSnYUQpywYbDGTs3DyVVS0iUBzftwMX/eD3SecEUtsKPPT/AB9neaSULRm0fTpOO129uxpNhO7aI1f+ALKvBuZd9lF5K3YNNjFE+je9Ff0Dd+FkI3gf4UY+OFm9Mq/8ziVXPPU03DD98xrWY9jZNlQ/eGZvbjEzyCxMP6s985h7f9x0Pt/B6Bfg9WAAUu4iF6h+/WomsREjEVNXjp0d3dzyy23cM899zBjxgy+/e1v89WvfpWZM2eme2hCCCFGKHpj9pgRc9RcCXP00KswUDh4+IUiDm5XLPpfSQJPRGvN73//e2688UZeeukl3vWud/Hwww+zevXqdA8NSOE+gkKIyScQCCdnDGAYfWYSFg4kWEFZFd3/2U3nOnNvv+H2GordP3D1Dhuffljxjpch22Jh9Q4be9bvwbZjtTnTt+oFs8bPatb4LaheEE207HYn+xz/zk8D+WxjBXn774DQNDCs6FAW1q3mzF8BOzG2rjSTQMOKHrBy4MN/oav0H2gMojOC0dwvZqbQojjYu5j2LWD9sA3e+1e47Ckobx48T5s1E2YyPED3Uy+M3w9hjLW0wPr15uPJHD58mJtvvpmlS5dy77338oUvfIHdu3ezbt06SQKFECLD2J12lm5cSrg/GoM3RQ3Ydn74mBr8E4LXNryWhpGmT309XHqp+Xgyzz//PP/0T//E5ZdfzvHjx2loaOAvf/nLhEkCQRLBjFRfX09JSQlKKUpKSmhsbBxyTnV1NUopcnJyon8qKyvx+/1Jrgg+nw+3241SKnrd9nbZpkqYhmwuG+ZwlIWXYVqxWLLN5aHhGb4lty4h77q8mITIoOM3rTzQUcOf9zUlvXawJcjAv+ziM/drNn5N8fSWsxn4l110rutk178McHbgZ6h3vAI//DrqugdY9tsszrv7vCGdRtd1dvLvD21h8yvTwBZOSm399K96gX5sBMlBr9qKtoXQln6w9TP30oeZ85nb6Z8GBrF3Qy0QeW4BbBZuv9fGsp910P+EAX+6BJ68Av7oGvoXp/ohq5fu+V8mGBxBZpViiUlfpHPpunXm43DJYCgU4u6772bp0qXccsstfOQjH2Hbtm385Cc/4ayzzkr+JiFSRGKkECc2XEwHOLzlMIMhMLJCxgIr/k7CzvIAHHzy4JTZUN7jgepqeOYZ83G4ZHD37t1cc801vOtd7+Lll1/mzjvvZNu2bVRUVEy4WnlZGpphKisraW9vp6GhgYKCAlpbW6msrOT555/H6/XGnetyuWhqGvwHt8fjobCwkN27d1NQUBA9vmHDBjweDw0NDTQ0NADw2GOPpeYbEhPeiWr+7HanuRw0pkYQBreMCLYE2f/AfnOpqE1zbOHXWNjzAod7fsyfeZJ37HkXWz+4Fd1nzu7lfTYvuqzUimb274/QE7PM9MifNPojBqx8Cb1yO6El5wGXRMca6TR63suw/gawhY7Sa4UZa+ay9JNBdi/6ON1vv0H5Wz+DlcAPb+DtrU5mrPoL1pUvAxZe+eHd8PNrOb/tTCw6siTUvPs556NzaM5bxJl1AWwYkZJ5cznpAPG9ZpSGki3wmZ+jV7wS3XsQJsZ+gcm2qzhZ51KtNb/61a+ora1lx44drF69mt/85je8+93vTs83IUQCiZFCnFhsTFfZkPeLF8krL43W+Hfd1xVbCUEksNmz3YQumMHR7UfjL6iZ9B1DPR54+GHYuzf++OOPQ1XV4PMDBw5w66238rOf/Qybzca6dev42te+lvJOoKMhiWAGaWxsxOfz0dnZicNhdmdyuVx0dnaSk5PDNddcQ3Fx8bDv93q9tLe3U1dXFw2Ifr8fj8dDW1tb3HurYv/LFlNasq6esb/wI5uqJxNZZnLg8QPsfPf/krPyBawYaELsOtDE3AcXoXvNiKN7NaHuUFzjmDNXnUngjwG0xay1m+deStAy2BDG4SiLa1ZT5lhBtsXCqq0GtpDGapgBrHPuAKvdl5DPJczuuJSe8Pj0ym3MWLmNAWwoLFgwOH/l4xifeQX14vfRvdMGt41Ac/iFgxR/eBH/aXMQ6rOgMOKWVcx+/2wOP3cYbWjUNAWffQS94pXoWGHi7BfY3Ay9vWAY5mMkMR2uc+mf/vQnampqaGlpYcWKFfzmN7/h8ssvn3B3N8XUJTFSiJOLjem6t5+uP/yN/XM90Rp/+pO9SxF8SoM+mngYy7TJ3THU44ENSXd4hauuMh/ffvttNm7ciNfr5ejRo3zuc5/j5ptvZsGCBakb6CmSRDCDeDweamtrowEuwuFwUFVVhcfjibu7mcyhQ4eYM2dO3DUrKipOGBzF1JbY1fNkv/Bjt44AovvozX32QnrnX4ReaS7PXDrPnfBOTSh0kPnX5gHm/kU7/2OnuSG7BZZuXEq+O5+ZwfiGMInNajYVFfGn13xY/msmOpSFxdZPwfsORD8lgCO2z4y52nPOp5l+7K8cPbotPPdnwIeeRm27AHYvI3J7tM9voP5jCz/5ycW0bymiqLsb47ddMADKpij8nllIH/3+V9wVN9Y9e9bT2lpGX58z5fsFJs5CzpljJoFgPkZ+LVx7rfm4Zo153vbt26mtreWJJ54gPz+fe++9l2uvvVY6gYoJR2KkECc3GNMHIKsfjkzHuOEWXvv4NhaVrUBlq+gNWlO4K7ZhCS+B0UxbrqB3GtYZVhZev3BSzwb+/OdDj1ks8LWvwXXX9XPvvT/npptuoquriyuvvJL169dz/vnnD33TBDUlI/n111/P1q1b0zqGVatWsXHjxlG9x+/3DxuM3G43a9euPeF7PR4PADU1NdHj7e3t0eNCJJPY1fNEv/CDLcFhl3qCYsbeH9D5vqdZOs/NJflugmuCdN3fBaEBsBgEnzEIGl1Ysi2EukODwWggXLdA/Azknj3rhzSrcS52kv/+HXR+8Tl49v2wejOLit4LuPjzvib29vyZfEC9vAK9dRVq1Qss/dh72LHjQXjyn+H3H4Fdy1CGJbx3RLg+IvyoezXTn/0Da+5aHF5Kk2duHl+6l0D+T3E4ylgczezMscZ2V73wwmwuumgTL7zgTNl+gZFZyN5eUAquuALy8sxgFkkGv/Y1OHLE/Npmg498pIvq6pu59957mTlzJrfddhvXX389Z5xxxvgPWKRNpsZHkBgpxEhEYnr3Uy/QtfMxeORTABxsVcype5tV/7OKl658idAbfURrArNC0G9uy4SG3lc00AvAji/uYOaFMydVMhh743TGjPjXHA743e80b775JBdddCPbt2/H6XTS0NDAJZdckuxyE9qUTAQzUaSAPbZuIZbD4SAQCMQd8/l8ccu2XC4XmzZtGnLd4a4pRESk5i+Z2BnA7ge745Z69nX3xc0mFn30YlYXlcddd8EjL9L1h7/B/rnw28vNG4+9Bkdff5PB+jxNsGczweChuGWokWY1sUtFAfo7zoa7vmh2BX3xIva/4z76V3s4vvfHLKAXXl6BvuGHELLRb9PsmtMBz38Ybv8qwOByUBXTQTSmSP5w2yG2POTl4n/9KXanE1Zso6PDjdE5ODMZO87Y7qrQxx13NPOnPzlTViMYuwwU4Ne/NpO92FWdhw9Hv6Kv7/t8/OM/RKkQX/rSl/jmN7/JvHnzxn+gQpwiiZFCjJzdaYcVWXS5I9tBmP8f7L1jL9MWTiPHncMbD+0nWiwYSQKjWyrFBI/+yVUj2NICH/zgYInEl78cvzT085//Kzfe+HU2b97M8uXL+eUvf8mVV16ZsWUSUzIRPJU7jekWCUTDBSW/3z9kOUxsIXwgEOCxxx5jyZIlNDQ04HK5otcdrkuaECeT2Egm59KcuNez87JPOpuYV17K/rkejCfKQYcr7gzIeudeeGEe9GdBVj9H37+Rjg5/XJKVrFlNMNjC67/1QehaMKwQ0hx9LpujSzZgDSd1xtZVqJANZVghBDs2Oyj42/vDy0IjiZ8GrYjsLBhXPf/KefDV9bwy43YWXurmwIHHMYxewIjOTJ4oYb3oojLe//6x+zmcTFkZWK2DiSBAKATz5sGB6KrZEFAP3AIcYP78a/jf/72NwsLCxMuJSSwT4yNIjBRitAKBZnj/c/B8CZH4dnTbUY5uM+sAbasOE9p6JoPbRURWyCQkPFlMqhrBBx80b5yC+fjWW1BXBw8+uJNjx/4f3/teI/Pnz+fuu+/mc5/7HDabLb0DPk2yfUQGKSgoGLa+oampidLS0mHfG6mR8Hq9VFZWRo8XFxdHu6AJMVqJjWSy87JR2cqcTMtWzPr4mwTyf4rt2qfp7nqQl657lle+8Epcq+lIMpdjrQBLOMBYYOZZi1Eba+Fz98OPvgorX8Yw+uje1Bq33UT3jbkc/97HYdsKc0yBZihqN/catPSbm73vPwteXgEo+rHQP/ttBpSFAQtoq8GS17fB0p0AaLQZEpdpBmLSQpTCWvCWOUuorRDK4uhz2ezYUU1PzzNENp6PnZlM/B6XLLl1yGzhWEu2JURzM3zlK/EzgOa4CH93DcAK4EuY7VT/xhVX/LckgSKjSIwUYuT6f/0+2FwGriZ4Zzu2RfEBIrR1NoNJYKzB57NXz+biZy+eNLOByRw79gYvvPAl/vrXFbzyyh/41re+xa5du/j85z+f8UkgTNEZwUwVCVCJxfB+v5/GxsaTFsED5ObmDrlmYWEh7e3tUgwvhhW7/DP2F35iI5m8NXnkrRmsmds1zY3R2Qsvnw9f+ZFZC0gX3fd3s6p5Vdw2FOd+bAXBOwdnF/Muu4i8FXfRXf4g3d270dqK2nYR3V+7EN3XibIqc9IuZN7JjFzTsaIM9Y6b0T+8AZ7+EDx1GfzucnjmUt742Z/469sDXHqXG2UotAKLYWD53UdQthD6Ew9zZNcqfr86By4+n3/5P29BCLSCLTfN5l+dNnZccRhCGmz9sCq+lmrWrFKWLt0Yl+jFdjVdvLh2XH9OiR1JN26E6683n2dlmYmgDk9sWiyQlfUsUAP8FXgH8Dvgw0ybplizZlyHKsSYkxgpxPBi4/jbL77N69cPAOZs4FlfttK7ZRbB1xL3A4zdEyn2uXnD1zrdymQQWxO4Zg3cfz/09R3Bar2dhobv09t7jKqqKm666Sby8vLSPdwxJYlgBqmoqKCiooKSkhLq6uooLS2N7pFUU1MTXcoyHJ/Px9q1a6mtHfzHaEFBAV6vN3rNq6++Onqu3++PK5oXU9MJ9xEcppGM3Wlnz56HMTr7AAO2rjKXeEYWWYY0r978KufefO5JrmU2W8nLW0Mg0MyhH7yX4LFwDaJhmBlamA5pAs0BFjudrFrVTHfegxzZvYTDAzaz21m/hQWd/8bBrm6sIY1Vh+fwtNW8TkjDmUfZ8v1HqOc75Gcf59kfwoeeNq8/c7mNPe8q5Pl7fRQ8t4s5Kx+Bldvi/q7OPLN4SBKY2NV0PGcDE/cBfPzxweeGMZgEwja0vpG///1J4Gzgfmy2Ndx5p5WDB9O7v6EQp0pipJjqhrtpG2wJsvUDW80bp1awzopN4BRv/MQANcym8ErDhR2w7R3hOB6moeeZHoKbg3H/Lsg0iTdQn366n+uvv4+7776Zw4e7ueyyj/Pd736X8847L91DHReSCGaYhoYG6uvr8Xg8M1RpgwAAIABJREFU0TuU99xzDxUVFUPO9fl85OQM1mxFAlri/kc1NTUUFxfj9Xqprq7G4XBQWlo6ZPNdMTWddB/BJI1kgi1Bjj/1PtT8i9ArOsyZs6x+s3kL5kxej28wgEQ+x1HmYHHtYoItQfas3xMNZna7kze/exbB370e/gQNGGDVMGD+GlM2hW2OLfy+FZznvJtgZZCtP9sS7WJ60WV5rD0yi+P/tRNCGosV0P0woMA6APvPIu/lI3xi5UNs7VsFrOTSZ8xVpsYzB6n64UFeWjkHrp7DRcziJ3NbMd78L2AApWzk5cVPo8U2iUlWOzjWEvcBvOoq2Lx5cEbQMPYRCn0LuJ/p02dx003rec97vkxLywxJ/sSkIDFSTFXRm7bHDVBwztfOodBrLu/33+iPrp5hAAYC/cQt+TQSLhZTODa7ah9vXfNV+OYt8Of3kVhVZhwf+u+CTDJ4A1XT2/sEV11Vy4EDf+eSSy5hw4bHee9735vuIY4rpbU++VkTVGlpqW5tbR329e3bt3PBBRekcEQiGfk5ZLbYGUFlG2DZb6aT7x6+RXLc+dmQ94sXmfWeaRz+Sy+h3xbR+/JMDrceNgOPFRasXcD+B/ZHZxyXblwa3XswMgMJsOV9W2KClY7+sa04xtzVy5h18ay49y3duJTD/9hN19u3Q/BM1MUvk3Wll2dDy1m9w8bcP+2me/6X0bo3vIT0w+gBK9hCGD/8OqGVO3n6oQe4/P75WA3oV9BeAg98BratNEfx+QUL+F7eobhmNXF/FymeEYSh+wW2tMBTTwV59dUNPProj+jvH6Ci4ovcddc34vZLywRKqTat9fCFXiKOxMiJT34GYjSGm/ED2LN+D53f6Ixbybm8bjkzL5zJlku2xBxP0vAlwRmrzuDYS8fQhkZlG+grH4HHrjEbsMGQ98+5cg6LahZN+GSwpQVuvBH8fvjUp8DrNY+VlbXQ1/d14M8sXnw+d9zxPT760Y9mVCfQU42PMiMohDghu9PO0ies7Gy4H13Uxq5pu5kZHExoEgNT7Ayi7oPpr3yU/I8vho8DHx+61BSIm3E88PiBwee9Bq/e/CrTC6bHlykAkb39QtvOZNaXZxE6GIp7384v7UQPGGCrhi/eid6ykl/zP/xohY3saRae/tQmdNcL8PJ50LUA3W9FaSu6T2F92oVeuQ1WbWXAdim6z5x8LGmDi16EG344mAzG7ms45O8uSVfT8eZ0Ds7s9fX18fzzP+OnP72VN998k09+8pPcdtttLFmyZNzHIYQQYmwEW4J0P9hN9392o/v1kDINANucoY1L9m7ci/H/2Tvz8Kiq+/+/zp0lgZDMQFiGsCpbTYAMCNZUwVRkcasLbbXIF6u2uCCFiuJSbWn9WSqI4oILrqCg1eJaC0iRiNq4gEwCBEjCDslAEpkhLMncmXt+f5xZkwkERUC9r+fxgcncuXMyeeST9zmfz/utGw1EYPyfkEwUWuwWpFTzEzIg4J9Xh129G84MKmrermHf0n2ndItoYSEMGaJGJUBFQmzYsAmr9W4CgbdIT3dx883P8MAD12O1/njk0Y/nOzUxMflG+Av9VC0rR+auhpx1GIYl2uKYbH6woYFMQ1vphrOAQMKJYCt3K3wrfEhDFaF9y/YhrMlcy2K7mrtm76LP832i7yuEQIYkGEK1oz46CWlojNI0NkyC/1xqsDRwBheU9EdO+TsiYENITfmFSoFcMorQyAI+zOnMT//WnuBje8mqUGJQ6qrTtbyvYFwzhsaPJBS/KwzD4I033uCee+5hy5YtDBs2LDrnZGJiYmLy/aBibgWVz1dSu6YWgkQ1WPyYRkQkVj5X2UijHdpwqPFNB6+Csh7ga00yESisgo43dOTg2oNqc1UI9d4JIrDxqWKy0ZFThcJCmDYtJgLBC/yV9957lpYtW/C3v/2N2267jbS0tJO3yJOEKQRNTEwaETnls2Xawu2W3cA6E2bdgdZvM05nPv5CP9umbVPzCOEQeF+Bj253d6PnOxaqlm2l3fCeSYtCw7nCiDCMvJ8MyoR6E51tSCBWhA5tOsTBtQfpcG0HgIQ2UYQFQhpCCrQQTHoUtp4OM/p25PCaO7lYtyOkRqTvVKBhhGws8dyFTbjI/PNetICalw9pELRB4GctKXD3Ic/hoNDvp8DnI9/pJM9x4gpgwxbQCCtWrGDq1KmsWrWK/v37s2TJEkaMGPG9anExMTEx+TGRrOWzYm4FpTeWNr5YgLBDXZ93qVg2kPLLQtE6HMHa1oq9vT2aCRhFM8C9joxLYP9fBiddi/N8J3qNHh2vCKSWUjOtOwQisxnJIiVAWMQpmSc4dy7ceqvKzoVaYBbwEFAP3Mzkyfdx333tT+YSTyqmEDQxMUkgYcZPiOjJHKTSevvtdB/bG0qyY0PpkeJjqNYUv79QxUZcFMCv2RPaSJsiIgy3T9+uxNtRRpcb7UVKKJtQpuYZNEH6nPQEcVl2axlSl6p8hSKpDxLHhg4YSIQWUmYxSGTIQsgm+MDdAfcaiaark8CggK8GwrxrYUCPTOYX+5hRepDFPcoJYmDXNJbn5p4QMdjQ5Wz5cmjVai133XUX//nPf+jSpQvz5s3j9NOv4eOPLWRkmEYwJiYmJqciCTXXKnBdp2KYqhZVNb7YAo5Rgv0X/ZHKNsV4F45F1v+2Uc0M1gRJH5geJwQlEFKxR7lfkXnJT0gtbc/e1/ZCKPG1+z7Yx77l+xB2kJf/E9b0g2B4U1U2MV8owHW965Q5DSwsVMHwXi+8+y4Yhg48B0wD9gK/Ah7AZuvFJZeczJWefEwhaGJikkDCjJ8mERaBFGomofsVl+NwONhekESwaaDX6EmdMinJbnLAPR5bpg2hhds644nUHRkTgdFyJFQrS+QUURqSjRNKSflPb7RbnBT4fJxzSzvko3uRgAVoeQAe+aNyA1Vrl4iJj8HpW5EeN2XuekpybgVUZ6nU1UngvN9CSR8oCexSR4RdBRgSNKg3DAp8vhMiBONjIurrdzFx4p/56quXcDgczJgxg4kTJ7JmTWojsWiKQRMTE5NTB7+/kG1vlaqumxDIkKTymQq88yrpPLEL+z7YF7tYjcWzf3kQeaEOhJC1dlWDEhDRaIf217RHr9KxneGn6tA8ZO5qtH6bCb59LnsX7G16YSGQdRJe/XXifRvZi4aXlqpyhE8mkS6ZzEyYOFHVPvWbwlvA3UApMBR4F4vlp1x6KUydatbFH7wQlFKaLVEnke+zK+0PmSM5jzWc8es5uyd6jR691u8vpK7PKoS9H7KesBAywKZjG7SLNGc+mmaPOmXaSodSdFnyHMKGayqfXK5EoCUsMo1YC4qwCmq6O3GU7QuXI8EX3Toz5EIrPQbYKJ1QigxKBOoUc+4bpbxqU6MN/3cIrtNAGKq9s1e5SrMI3xkpBXK/Q+UC5pSwmNvIZj3uHA9PzMrD4TkdTy6UZIcXK2W4KMuoKjWATFvjYf3m0lSrZzLy88Fm82EYD2IYsykuNrjtttu45557ooHY8+dDXZ1aYiCg7v1jL3gmjTFr5MnDrI8/HpLV3KirdLceavTCSAmbYQtkfZD9of/S8r7NsHIoVpnF/o/3q83Oegt8MErd+PWIUIvbLY3rmdGrdHKXKuftimUWKl8aScrqTvjWt0S1SSYhWnZF3AmgjPsvMT4izZ1G7yd7n9TTQOX8GRF/ET4BpgKFQDbwLnAJILj6anjllRO+zFOSH7QQtNlsHD58mJYtW57spfxoOXz4MCkpKSd7GSZxHCkgHpoOiYe4wtUmALdciv2zXxPosgJaHQR3MbW149Gf/AU9By1D770SpzMf35NZGIGtys2zzsA735u0YERPIlXKOwkFRypx126Yk0nbu5Ot+1gjnWzc6SBlHswe62fNpAp+Pbs9Ugo0m87XuRXonA7Aqlz4PztYddCt8PFQGFBkIPSIyAxG+kUxsDA0w8GE/VOwoaPnvMyUnFmUELYJjSwtqNaFoQJ6CcKazTpkHf1n0HCuMFmrZ1Oirb6+ns8/fwq7/X7q6/cxcuQ1PP30/XTv3j12/0J44YVYgLzVqoqkiUk8Zo08uRw+fBjbt9g8Mjk5+P2FCU7QR9pYhbiaW28gNEGvOb3IGp8V657JWQez7sBecB2Bd3IgZAFLCH/pRhj5AfzqfcRtj4ddOwEJYunFtEo/k1oZ/2t8ZGMhtrHTbnS76BrKLgkiAx2pxQCtCREYuY0G7a9uz94Fe0jsw2lMxtkZJ00ERjZQv/giXgRuQJ0AvoMqyM8B1yKElfR0uPRSUwTG84MWgu3bt2f37t106tSJFi1amLueJwgpJcFgkNraWqqrq+nQocPJXpJJHEcLiIfkIfEQF5C+vg88cSMB3Q6rroRZdyCEDe/YfsjA1rDAvAUqoG6HV+k5NYKH90UvrnGNZwmc+U6ELaR2yQXh08BwL4yQhDQLtgFO5hQ4mDbNgVZRyNX9CyjeP4iZe9vz00tWYJz2GRZPf4LuYnrlnMYY2QGPcFOSncOiWZnc5c/go5wggW4HODBgMa1f36vuP/IDdRoIaBgMDr6LQQDlI6rjxhMTggB7UmBXSyhrBaN3gzQgqMEGJww58udf6PczrKiIesNAE4I5vXpRU5AVbfVs6vTOMAxee+01br/9T1RWbmPw4OHccsuDVFYOoLIS4nQgBQUxdzQh4LrrzNNAk8aYNfLkIKXk8OHD7N6926yP3zMaZsP2rF+mzFrqVctkSpcUUrqlkJadFq1zvgKfet5Qowtlt5aR1i8NZ3Zc90y/zXS/ohVlP78bueTnsGQkvH8JfDASRixFBiMrUKJMBqFV+gAO2LzIQPxpXWxwov017Um7ajvbt8+jbsm5iaZryTs8Y/cISQ6sPxC+UIu7d/zfFZXPVSat6d8lkRnAZ59VtU7TACpRM4DPAWnAA6SnT+ahh1pSU9O8bpsfIz9oIZiRkQFARUUFuq4f5WqT44nVaiU1NZWuXbuSmpp6spdjQiyHSPfqau4PmTTe4Ug4I22fnoFqeM7QIKhMZFJbnE5lIBQVmN753mgsBBCtTzIomxSfvd5NpeyNZ5HpNTBnAugSLCE+dbTgta9z2TzZwfLl8Oc/F1J7cBg2Wz3B9f1Z8p+7KHPnoee8rPL/sHKRUYoQQXRp44nQBDI7Cf6R5+YTv5/cfR7md3Yw6bbHCftiA5HyZkEcLg6LQHVC6MGd+EG0C0CHeujvhyd6gkPHstbJuGeOXggLfD7qDQMDMKTk5o2l3N4pDbvdET0RjD+9KyyE555bzqefTmXTpq8QIhdNW0pR0QhuugmCwcaniPn56muR+40b1+wfscmPCLNGnjxsNhsdOnSI/gxMvh80nIGvWlaOUd8tKqzqt9dTv72e/Sv3433Ri3uFW21yamHjNdQcoHdJMalZn9Cz52x0vSZ6uph2TT+2bStl3/tWVV91CV+3Vl0yRhCwgBZC2ASucS6sGVZ2zthJRJi1/rUGPiftRrcj7artUdEqOvQH28MQSPptJeWQ5yBK+EXEpUFSx9AQJzQ2ItJBc/hw5Cu1GMZMlBtoALgVuBdox803w/jxJ2RZ31tOqBAUQgwEfFLKLUKI04EbpZR3hp9zAr8GtgCnA/+VUm75tu+ZkZFh/kNr8qPHX+jHk+8J7xyCsAk6/r7jMe/iRQLSvdWr8C6wIANETWQA9sxMHhSPFjZ0MY4sPrOGn0PaWRo+XwHB8/Zy4BPJB9ZOvLq6A7keL1RBQYGDc69cgk2vx7L+J2i3T+dS3U7A1oE5s55k3HlldGAPwep5aBggdSZZHkVzSIJ+C1diYMFAx8relpfQ/tC7gEEIjULy8JPJxfJ99Tkh2LhrLBtdfcGqXEf7aw6KNL9qB5UGrQbW0jUllUm3ANl+pm8/cpREvtOZUEYNAbPWenlytqPRruXLLxfz29/eiWEsQYiunH/+yxQUjMEwNCK/tyebAczLU8KwuTOHJiefk1EfwayRJibHgtOZjyjpj1yTgxiwnnbDe+KbHYyKvHhkQEYjlXrN6aXcq0MSkQLeDpOQW4vRNDu5uTFnbYcjj+5XZON/oggjEFK188tzkQbKvvpXC6HVIVoNScGRdz7bpm2Le0cBPmd0JnD79nlR0Sqzi+n46lr89/40ebYgEC3WjS3ZFC0OweHGOXvCdmJjIwoK1Py7En1zgb8BVcCv0bQH6NGjJ4cPw5gx8OCDJ2xZ31tO9IngBcCNQog2wH+B38c99yBwp5TSByCEeAPl72piYvIt8RX4EtpCZFCS2jX1G+3gORx5OK7Mw7W88VzEkYLiG5rOHPH+jjzoBoXn+XllvoeHPqrEpoOOl70+Nx5y6YUNPAPQdBuaoWHVweE5nQ8vOIfPvcuZzitYkUih2j0t4R3NyP6mXeq0O/QeqLNR/smveZYb6ct6RokPsEioq7PzzGu/wejlQmQGuGyond6drKzdvh8jJLFoAn2Yl01SMjEoEB4ISnnEKIk8h4NLMzN5u7omWmNDBqyp99N1jA+cTnbs8HPffffx8ssvI6UTeAgpJ5CRkUpKihJ+Fks45zcYO0VsaDhjCsDvFWZ9NDE5RWhy7q8kG/nHh0GXSJsgraAvvZ44SOnNpY3aLYU9JpCyxmeR1i8NX4GPuj7vUtmmmHhn7fiIpfg5/boddVQ+Wxnu0DSg1SG4ZiEdez8DqBnAeGfRyEwgxHXwhNtYXcMG4erYJ2FTOB5LR4NQZXz7ZwOska4BJRDTctPIyMs44W2hbdpIpPwXcA9QDpwHzADOio5C3H33CVvO954TLQS3SCl7NPHcoEiRC/O1EGKglPKrE7EwE5MfMmr+TsROBO3ffgcv2RxhU0HxUcfRcHGNXBtPssJb4PPRt1hi08NGokIiPT4GuYZxc+XD/Ny9kwttAi0c77B2AKQeOIAuZbSBxUAjhEASCtc2IyrApBFCaCCQ/Io3KORcNmv9SO35LuXLVjHjX4MouTUFbJVIDd4OATvDC5YC+Vkb9HNqMICQIaP3DRwlSuLCzEzerqmJ1lrLISsv9itCL/ajLVyI9tZbCGDMmNt5/fW70fXWALz/Plx8sXqNywUDBhA9RYTmG86YnJKY9dHE5BTgSIZq3vnecHulgIB63OepPqT1S2PnjJ0c2nQIaztrwoxghEh99PsHsacoJtCczvyE947UwW53d8Nf6I9uqAqbRqshKXTs/QxZWarfMWu8cierWlRFu9Htoo8h1sETb2xDHrgL3Hjne6l8rjJ+MoJQlU3ZaYcPBlsPy0yMr6iNfC+q0Nk72OnzVJ/j9bE3i5UrV/LAA1OBz4Ec4D3gYqxWgZSNRytMjs4pMSMohLgA+LrBl32oHVKz0JmYfEsceY7oP/7ACdvBixeGTTmnJTzXoPDmO5287hboNqmy/KSg52jVdnlL78u5hVI+mKUMPz1uFe8gamv5DR4shNCQGBh8zs9IpY4y0ZNfsQirDBIyrAhpIEQIIcCK5PbW2+ndfSx5Dgda7+Fs7LMJ7JWNu2U0wJDIGjtaMJxLEXeNJgT5zpjQbugSuqY27NgWvl+vK/aw6fXXkK+8gnHgAAOuuIK3H3mErl27kp4OzzyjWkB1Hd55J5xeoUFKSkzwTZ/OUQ1nTL5/mPXRxCSRhq6dx5vmGKo1xJHnwPFW82pqUoFG03UwcUP1fPyFfrbP2x7dNM0an5UgABt+PvGfkb/Qz5a7tnB4y2HaX9Wew2WHqf2yNpw3H4x1gooQWic/7a9pz95X94bN2yC+VdTW7sQ43hYWwj//WcLq1XfxySfv0a5dJ2y25wkGr8VisTBnDvTrZ45CfFNOuBAMz0G0Qc05rArvaDpRhS2eGqCp3VETE5NjpCkn0G/L0ayzIyRzTgMVQl/7RS1GncoONOoNtk3bRvdp3cnLc/DkWDefiI/ovLKKzj//CeeMV+9Ro+tIoCRH/RdBAh7c6NiQ6BhYOJtCrBjkUsRjTMQh9+P556WcJrcyacwUhDQIChs92w1XcQ5+P3elbMa4ZH/DWCb1ZwgIatgKXFzU0sXbjm0wcF94bhAMJGvXQcFKyBzqZ2LQgy4lNiEocMcZzxgGLF/O9hdfRFZWwuDB2MbfxE8Pj2b3bgdduyqjl3nzYpmAkUgIw0gUfD5fONZQmLui31fM+mhicmQaunbGz9cdLxpm6cZ3z7jGuVSrZgiwkBCi3nDD70g0FGjQtACN1FVfgY+Daw9SPrm8yfgnv78Qz4IJ4RnGN3BfMyf6PhVzKyi9qTTaibJ3wV7aX9Oeg2sPYgSCqOKlqZiKoKDmxRBY4kPnE01iqv5ZhX+C/zvdVH733QquvPIvhEIvAK246aa/M2vWJIqKWjYSfqYA/GacaCH4VfyAuxBimRDiV6jC15CGhS/ymvHAeICuXbt+J4s0MTFpHkfLJIwnmXNa2YQy9Th+tsKAfcv24f/YT+7yXLKzS9D7Xo2RHUBqdioqlMtap2AOBslNLkrIYYqchVt46MMGhvCpmgtEpxdlzNZug18KSr44n63yUdyah2LcjNF7s76igptLS2NLamCQZgF6W9Lps60jF97kYM0asL3fHX1ARImpb2fCsz7kKw74o5fQxep7DkjJfK+XcS4Xz//73+hPPw3l5bTt25fbn3qKDW3cvDDJybPFDubFtXcuX66ssl98UZ0KGoY6EYwIvrlzYcaM2BonTjSL4veQb10fw68za6TJD5aGrp0N5+uOB0fK0j249qASgQAh9diR54jGAgUM44gz4keiKQEaX2eFJqLz/kZ949PKHU+WIO97EAwNadfxulbhuFJlHZZNKGs0+uf7yEebq6G6+n3otQkenwh6JDBeRAUvFiKzFtF6LY3kDuDHg/379zNjxgxmzHiYUCgITETT7qVr17a0bJk4A99wNt7k2DihQjCJy9kWlBNaw7YXULugye4xF2UTxKBBg5KnW5qY/Iho7oncsV7bHI6lhcaR50h0TrMIZEg2GrAH1MZk+H5kxRf+esrKJiClpCNWcpjF+nC+X7rFQm04PC+b9biFBw9u2rMn4b5RYWeXiJ/VUKLlUEIOdiHwBYPcu3Vr0xFLqLq4kVo2nX6Adx8B3s/CanUwdE0vPh1chkTSN1RCvzYrWNNnFCWdUhPed2NxMX+ZOBF92TJwuRB/+hNVF1zA4AEDOPikg1Cxau+sq1PiL1Lw8vLUTOCiReB2g9MZK3zTpiWu0eM5wjdgckpyPOpj+D5mjTT5wdLQACV+vq65fFqxjPKqZfRsN5xzsoYnvaapDpqqRVWNHmeNz6LA5yNgGIQ4+ox4UyQToP5CP9umbUvopoliQNAXG/LzF/qp+XMPCIULTkBCkRuuDBvGBRv/cxDYHaD6JQOsI+FrB6QeAt1O/A5oypl+0nNaY0vpgDXDyq6HdykH8JRji59qDoFAgKeffpr777+f6upqhg//DStX/j+CwdOTdrpEoiTM2fhvzsmeEdyMam/ZQuPClhl+3sTEpAmO5UTuWK5tLvE7mMIWwjZoF9CtyevjndNsmTbV4hIucPFILc7QJq7wS0DKYDjWVjKOl5jPb1lPToIInCWnYBM6urSxSFyh8gvD9y6jFxAez9Ni73l2RgYP79p1RBEYXR/Ka5SJZbA5jeBGB6OCWfxjQBrv71jMeTVT0C7WGTtqJlO0mZSIHPB64YUXKFi2jDZt2nDRvfeyZMgQDLsdHWWMk5/vwGpVQlBKeOEF1Rqal6cK3uTJUF8PK1bAE0/ECt7o0fDBB7H1jR7djG/C5FTHrI8mJg1oar6uuXxasYza0kvpjE7tvsf4lPeaFIPJaMqlM9/pxK5p0RPB+BnxeCKbsbsG2VjZW2/URtpwrn7NOWvCxUsq11AZsUFTA+YHPAeir/UV+MK1NDx8brHiGtUff6Gf/V/sT/4NSQBN5QJ/OiTpBfX2YuoXDoZgJZpdo9ecXs1yAG8uhYWwYoUkFHqdl166hy1btnD++efz4IMPMmjQoCOe+BUUmLPx35YTJgTDA+93Sinj/4/rAayWUv5XCNEw7cMJ/PNErc/E5PvIsZzIfZMB+KPhyHPQ8x0LZW+8gMxdTVmZjdpPHsU1qn9CMYvf4XTkOSC7BJ+vgJ7vDEVf1Q1bpo3aNbXsqQ/wSJsaWvlh/QCYkw15jjwsPd/h3dInGMH72Ij4tRicyWrcrGUKs1gXPhl0Sw82dCwYSHR6UY6BwCIkQSlwGPsRwBBnBiv3x4pjnWFgyCYOUCScIdLp0zaF96qroxuuCAluH1qpI7pTuevrD9EIYLEYoAU4o/YzShashLfeAiEYO3kyj//lL2wQghVxrUT5Tid53ZT1dcQcJhSKFbaCAiUCDUP9N2GCGpDPy4sF5i5apESgGaD7/cKsjyYmzSfZfF1zKa9aRue4+lBeteyYhGBTLp15DgfLc3OPOCMYvxlbZ4WFs+D+fk23kRaNKEps5bTXweXvwGu/IfKEbdgGKua2o2pRFbYz/Ah7CBmwgCbI/NtmDh6wUX5ZSM3gx6MRHjoXxN6kwRxEVHxKJRQN9buDXqPT7e6mN3yPhcJCyM8vIBCYCnxJjx79WLx4MSNHjkQItZ4jRSHl56uTwMiJoDkbf+ycyBPBVagspHgGSSlvDP99ixDi9Lj2mNNNa2wTkyNzpKH2b3PtsVBb+xVShmBLN+ScW6nUg+yZWUTuchVq2/AUkuyS2LB/ip3cW2LD/m9u3857W2vCYwlqnm6Vdzn7/R+RQQ1WjOiYAuFrNALcwhyeYAIl5FAs3OhBO9KiE8TKSobSn7VII0gwaGftsgt5+vIB4DqYIAR7tWjB6rCbpwb0b9mS4kOHMIJAUGPzPT15fo6DC3tXcEtpGaGghKCGZZ2TOXPCzp3bfayWuVyNjfpAgLffFLy9YBEcrEOMHMnf//Y37ho8GIA8aPSLQ2GhWovNpkSgxQI7dkSKpTKCiRAMxlpHQYk/UwB+bzHro4nJCaBnu+HU7nsMiU4QZRDI7KElAAAgAElEQVR2rDR06YTmGcXEb8ZaJfT3wIac5G2kFXMrMA40EG91qSpH8OqF4BkAbavxb7Sy98WwYc0HEq7+J6TXgXstNdlr+XrhWGTg2rDgUwiroNUvfNS+kwahSLIuJKpOoQqOBD7LU89p6rV1O+rwF357k5h169Zx3XV3EQi8D3RGiJe47rqxjBplAVTdu+su2LIlFg4/diwsXgwXXgivvBKboTdnBL85Qja1A/5dvJlyRBsUftgDeCZS2IQQTtQ8xBaUY9p/k8xMJDBo0CC5atWq73DFJianPidzRtBf6MczbA2yPqQiFAwNpAUscNr9pwGw9b6t0YHz0+4/DcYsZOvW+4AQrO9L6+230/2KyxsN3FuFoLdcxwymYCOAFlekjPAeliUcgiSBADZu4xE2kMONwssZlRt4tkMH1pFNP1HCfdoevEWjSBmYTU1nHzvq6phbWalyeomZgUbQABESGO+7kEtdWDY5uP9+FVRb6Pczv9gHHifjBjliQ+t+P+d/9RWZH7yI78W3OLjnAHnDhzPottv4TV7eEWdG4mcdrFZV6BYvjgXGz54Nt96qzGIi2O0/rlYYIcRqKeWgo1/5/eN410cwa6SJSTKaMyN4LCQzigEaCcOGJ4J3zILNTZwIFp5WSP22+gbvJFUXijDUnzJcuQwt9vxPNsC5n4K7CHLWw/q+MGWmOtFD4rjQRodf9KL0D+shoDVqNY39CYkCUaiiGI5JEnZwvbIW17BBx3w6u2vXLv7yl7/w0ksv0bJlOnV192AYE0lJaRGd8Rs7FhYsSHzdGWfAhg2xx9dco8SgieKb1scTbRbzFU3kHoXDcueeyPWYmPwQOJZYiOMdIeEr8CEDgGFRNpYWtYMYf+LY6BQyMvO3tgdMmcm+YCr+J9QJYl5erL3mi/37aVkTafOU0RIVQmDL/D862FOorHwawl+3EsSNhxJy+Gy9i/N39sXSpRqRDZtEDu8wko+6+6jU18BWsAiBTQiCUqIJgd5gU8wANIvE8nUqcpMjoe0kz+Egb4iDwv5+Cnzbwe/k7IwMPlu+nLQ//YndGzfyE7ebOQtncf755yf97BrOPcTPOgAcOqREYGT2YdEi1RIaT3zrqMn3G7M+mpicGM7JOnYBeKTswoZGMfO9Xubt2RMVhst61tNZX4UzOz9qBrNrkI0xSWYEATbfuTmJCCR8QifiTvcEiBAJJ3llPaG0D9h0mHUHCA0GfQmFeSAF/qVBDhdtg4A1fJ8QieIvnCafIAzD7xfvGFofpHLxF+xpe2ezIzz8fj8PPvggs2fPJhgM8bOfTeZPf7oHhyMzoRaOHJk48x5h06bEx4sXH/UtTZrByTaLMTEx+R6TYBZj1WhzYRvsLntCYH1jG2417F/+zDZqA6kJDqGOPIcSWQ4HN2/axMpwHiDoaBhINCwihdyuvwfA630RKVXBlNgowk32epg+Bex6Nf+wwZRZUJIjWWDshFZEa5shJYMrOzKwcyoDeti4pbQ04URQACmaxuzfO6np07jtJH4XWCstxzl7HlUbPoGOHbHeex/P3fZHzmndOunnlszprOGsw+jR8NFHMWHodic+BnVyaM5EmJiYmHx3HC27sKFRDBAVhj2MtdSV3c5WqUdf2y0vj27AOZH7N+jUqXoz0ZlUpAgyL8yk+t3qsF4LizQRArsOV7yJfefPkSkH0QtOUxuz9RLt/n9gVLeAUJxwDEoCuwLhx2raHi0EvUtpfX4H9u36DBYPVy2jwprYJgMqRgIJ1iC4v2pWhEd9fX3UCbSmpoYRI67ho4/+H4WF3bnySlX/7r5bXTt3bnIRCNClC2zfHnt84YVNvqXJMWAKQROTU4zmtG8e7xbPb7O+3OW5eOd78b7gpea9GjS7lhCym/QUsiSbA4sC0XR0YRGNZhbHuVy86O3L7XIWZ1LE77rkQPBrPOSSQjZ5Dgdu9wq83vkAVKdfyZbyFEZ7DGy6mnG36uD2QEl2+KaRTc6wi+iXC9NZuzyLccvhyd5ExaAV+F3HjoxzudRu7Tk0osDno373boznnye0fDlVLZ1wywS47BcENTuvrNvPOUOSC8FkTmd335046wAx0RcKwaOPqsL3zjux4PjrrjNPA01MTEy+S46WXdjQKAaIngieKYqwSD36Wq93fsLJYkM3704TOzWOeQihRGBcR4iwCeSFS2DEEkTfUnTmI9f1hE8fgnoJWDD2tAzve0YKn0GiIUxYCAKc+ynOqX3p7rwS7/JVBP6dS81LjQ1mej/Zm9rdm/F2mILM3nTECA/DMHj99de555572Lp1KxdccAEPPvggS5cOZPny5E6fixY1/XPYuxdGjIBVq2IzgibfHlMImpicQjQn4uFYYyDihRuAd74XIOHU7tuuz1fgU5mAzXQkTcg0EuC6Xq1lbkUFi6qqGN2uHeOzsljhdlPg644vOIrbfT7WHDhAH7mOVZV3MD9jKKQNZpzrH+Q5HPQBlrGMHUO+xPJKHuiCoBU8bhIEYOQ9CYHM0OOEWBb90tKOOvAPUFNTQ9GMGRjPPqsU2VXXwL574dK9SoEGNdjghGRu3DTtdBbvjjZ9euLpXyAALhekpsZeN27cUX5gJiYmJibfiuZkF0Y6WSJEhOFQ268Ilb+CYQQQwhLuYglGTwd9BVkxN+96g50zdkbvYW1rJS07Df+n/sSIJQGuGzri+seV+HxtqKvbQWXls2omcNYUuGs6HEgnseUTGs0AWoJqvlBIcNRGxanjyjw2LdsEsjLhe3Sc6wib5GTh8s85YoTHhx9+yNSpU1m9ejW5ubksXbqUESNGAMr9Or7+ZWaqepef3zgKqVcvZRYTEY35+bB06dF/ZibNxxSCJianEMkiHiJfj5zAHUsMRLxwE1ahwmjDZiPeF7y4C9zNEoMRMVm3oy7pex/NkbSho5oz3wl2gQxIhF3gGudibkUFN5aWAvDBPpXTND4ri7Lqj1i38z0O4KYXMJMp2NDR989nyv5ZvOjtywq3m2xKCJVfRseuAcSs/pRt+iuP9E6nJCe8CAHtDrbk67RDam9U19CKnY1n/44gAA8fPsxjjz3G9OnTqa2t5ZIxY3BePoHXHziDYJEDw5YB51Vh/V87xk1t+j7NcTrLz1fuoYFwF09E+I0bZzqkmZiY/HA50jzeyeCbZBfGakk3/GnqtdtrywhVz0NgRE8WbZnXIjRBMuPG9IHpdJ/WXdXwSN6uBlqK6rpxOPqoU0V/Id7lnyPX5MDBNDiQHpV8ABIDNANhxJvCGPDzFbBimBKDT9wKo7OVnXUTtMxumfCZJPsc1q5dy5133snixYvp2rUr8+fP55prrkHTYqG98fXP51MmaKEQpKSorz/zTCwKqV+/xDEKcxTi+GMKQROTU4iGgsqWaWt0AncsMRDxolEaMmFzUOqyWVmCDcVkdHbcAu/2qWOQ309euEU0WbtqUke1bLjtIchZE8sLXLQtbi5Cwv2rKzlj87/pVPwEN3j6obufY0lOl2hGIAQYwVIelTkU+HxkEWvfkdnFHPrpCkpqfxG95eVt2/JWft+oKM3c5aRmjKNZgioUCvHyyy9z3333sWvXLi655BKmT59O3759AbglC+av8vN8TjlBYWAZ7IfsNODIYjDZ+8abyBQUqIgIiAXLR15rYmJi8kPjaPN4J4tvk13ocORRQjaTty3g7yzEio5V2LGVDqV0chkyKFU0UINOzEN1m1k/dh9tr2xPWk4atkxb0iD3dV90IzRlFlogdg+BCFusQd05q0jtUgavjSF2KqjB8gvUxdICOtHfByrmVvD1Z5tBpMScSQFrRnLJ4PcXUlLyNk88sY5XX12M0+lk5syZ3HrrraSmpgKqrs2YARUVcMMNsaijoUOVKRqok8LImER8FJIZD/HdYgpBE5NTCEcDQZXs9K/b3d2aFF0NSTRzSTwRFLbGc3nJSBCTUka3GQMS5lZWcrvHy/UuF2O77aDzmFXgzCd+W7HA56OHsZb+eCgy3Mz3dsAbCLAmW7ImGwSSGTt2UOfTEoRqRupn1K95BsvUGQjdht2m03rWWxg5FjQMNCQXsoT/GqPI3DUAZ99Y+w7CzgYxMOJ0jV0IpnbpAsTt1MZP6zeBlJIlS5Zw5513snbtWgYPHswrr7zCeeedl3BdXh4UZPkwthpIIEhiNlRDh9Ajfa2hicxTTx31R2RiYmLyg+Bo83jHkxN58ljg81Ess5nCLAbi4SzXhVgWtiVUX4lFhue+E14hqV/ZGpDs3bKXLlO7JA1xL/T7eev1j7ko0C4cI6GEngxHTRhXvYrt3P8hXrqW2ExgWAxKqcxfZBBsBs58JxVzKyi9cRPQotF77Xp4F20vbwvEupR8WZ9zzz0X869/KTV3661j+Otfn6B1nFHa3Llw880x1+svvlB/1tQkOmFLqU4IG3KkQHmTb48pBE1MTjEamqskO/2LPB9pHW1KDDYUlnDsM4IJYlKI6MmiFlKBuOtyJB9X/pfLKqewlWDCLq6/0M8575YzsPNzWHOK0bFxR+Us1pETvb8E3q6paZRl69Y8aMX9ELpNuaDpEudHV1Bz9kHa1y5EQ6LJEP03lTN5igOWZVPf4RVc+pf8vboLnv2d1a0MmGTrdcSWz2SsWrWKqVOnsmLFCnr06MH/+3+vI8QvsdtFUhHX0DkuYhqQTNyBeq2uq/bPyLB8MhMZswCamJj8WGjOPN7x4ESfPEbqwyYjh61aP27a0ZOdmytpbVFj5U2jWjmr3qyix4M9GonXTzY/yij3GwjbTKRuA0NDRAr05NlK5016NOwcKlRBlAIIQkoQJjwB+x1kDjsNR94Itk3blvC+irC4DEm8873smbeHuvo63tHeYUHqS+w/GGT4cLj+eo2zz+4bFYGFhaqj5dlnG0cfLVoE06apdtC6OiUCpVSnhj16JJ4Imny3mELQxOQUpqGQiwi3YzGMaSgsj9UgJn4NQV+QnQ/vxACCNihyq2ty8WBb3ws8/Qm5iynusIT+Jdnh2QaB3TYdMWsKMmcj/aWHdSImBLNZjxsPHuGmROZE649HDkDv+xx2mw66JIjGmRfksbJFLc7af2GVOkFseHbkcfjmTdxS70VWtgFjFIYWU5VSwsPP61xubZ6o2rJlC3/605947bXXaNu2LY8//jj9+49n+OTD6Dk7sLzuxLLREQ16jwTgNnSOiwjPggLV8mIY6s/58+Grr2Kzf4GA+lpeXtMmMiYmJiY/Br7JPN434bs8efQX+ile4mXpGQHW54DLbmecyxUzkCm1EbqsHFfAIKDB3rbQvrqpuykR1u7KdlRUzKWs7Fbkuj6Iok0489/gzKzZiByp6utrV8GnPwNpQVjCTmOPTkKELEQyB7XBG+g0Jpe9ZcupP+MtyClBCDtd3QX4C/0YNl/c+0YQ0T8MabC0binPy+fZY+zh3A5ncd09RZx+ejBBuEc2QCMiryGjR8dmBceNg/Ly2HOLFplC8ERiCkETk1OcZPELx2IY822Idxx15jtZM8xDKKQ6UJ6+FTJ/5gC/H//6PLQpo9WOpE3n4YcruW2PV63R0EC3EvIMIJi9GY/hjjpWZ4v1PMIfsRIkiJU/ikcokTloCHpvv5w9Z/Yi8PCXsPynnDHyTLSr4L417ekjZ+EWHjwhNyXD2oNWGYtKkomzkITAWO086uladXU1999/P0899RQ2m417772XO+64g4yMDG5+3E/g70VgMwjqGsHbc2G9o9GpXTKzmczM2G6oYcDzz6uTwHi83vDrm2EiY2JiYvJD5tvM4zWX7+rk0V/oV3WyXnKuDd6aBW/nwIteLyvcbu7u1o3tC7ezNVy/rYAjqCb6ImgtNDpNF/g3bqfug850+GUX2t6zF49nAnJdb5iiTv++nq8jZi1F5JSoVxf+DCHDoi9ogZXnhdtFw7urmsQxaQvWc2rJdl4MXByNXzr4hUHZZWuQ9SFVn+NfF2bHL3cwacUkimUxvejFFNsdbPhzPnu678aydT09e8aEe2QDtKEIFALuuCMm9PLy1OMbb4xdM3r0cflRmDQTUwiamJwgjmf237EYxjRFsvbGhuuNP3XscG0HZL2MzjOk++GwpiGAXp400G0Iw4LUJaetacnSgTDCrhEMGAStGovdXfiAWZR8OhQQMKSaESzFho4AbOiMZCmtvBdwQ1cX/X4Jw4pSCGT/DHtfjeW5as4iJCUlIkedHgJoMjb2YKDaXozw7IMBYklHrKUOduxQ33NeXszFNNNmo3L/fioXLuTVRx/lwIED3HDDDUybNo2srCx13fbteHPrQDfC8xQGljN9sNHR5Kld/GdbU6OKX6QgRgbj43HFYhfNeQgTExOT75qSbDosXwq5HlzDBh034ekr8Kk6aYCM5NjmQEDK6Nx4xDU7WKfsXNb2kgz+MnaPThM70WNSD+Lzh7Zvfx0pQyoPKW5cQnjcyJwShMcN8a6gFkHGoI7s91ggpFxD0+8rxN/5afZtVeK3Z8/Z7NkzT+UbvnEYWT9O3ZegaiEVgEWjoncFc+VcPnr9I7p3786z054l/fBZ/K3L15R0rYVQBrxxLeI/WYwZo/L94jdA49E0cDb4dSUiCiNOoeZp4InFFIImJieAhqKq5+yeSd2/mktTLaPNpam5tXhhmHDqWGcQ8AYQKYJgvSRog/UDBDe1a8cKn09VO9t5oEuwBZF9i5j57CgunO1iz9adTOtcTUnOSCXWvshUbzakOmZgFkaGVMi7Zze4H9lGvTSUP6hhRFsuU4RGfVDNOVje7Ix21S50ZDQbkA/bwfC96oYaDOmYTqFUltQvvgiPLfczOVREna4jlyyBl16C6mrOvfBCnnnoIbKzVfp8vNupRQhsFkFQSuxWjcfGO6n5SXIR3fCznTgxcVdU0xLzAa1WMw/QxMTE5ESRWI9zcS0/cmzCseDMdyKsENIhZAnn2KIMy/KdTiqWfUrVsnK+vtqCY34WmiHoVyzYe3lLuq4zaDFiNwfGTKeiYjRZWTFFZLNlAhLcHmR4XELYgki3R5VQtwfsujKDExJ++Tq188aozVCrhV5P/AR95JfUbo21w1ZVLYo5beeuRtquQQQM5SIqDbyikvk/mc6SdRto3bo1f3jgAdr+8pcYrVpx744dlNfFfeNDq5DvZ7FgAXTqpMSepikxKISqc4bRODcwUj/HjzcF4MnCFIImJieABFFVb1A2oQwpZbMC4ZsiWctoc2loSvL+DD+7/u1jteHkrzYH110HYwc4ERY1II6Emvdq6DKlCxWpQTbkwpxhrmgb5BNyPaNm3Y3Vk0Ow/3o+WDqDULGDlTXATT42blUDEAIgvwpZkQoSPtBGMool0dbQD7SRyMmlBIKCLwwl7jSImq/kORysGJDL/GIfeJyMG+dgfpsgz1RWKj80K5w+WGeziPmj1aXo0VbM+np4btU+6g99ipw7F7ZtgzPOQLvvPi667DKyu8Vc2Qp8PgKGQQhASn7fsSNdU1Nj839NOI42/Gw9nlhB1DQ480z48suwS5yA3/3OPAE0MTExOVEc79GK+G4fAGEILFIiDBjqyGBoxzQGpKez+dFPqP9rChhdaC3U7qCQghQ9RIvum9j2QCUd9t4J+2DfPpWqHhGDul6j3iynRM0DetwYbk+sLTT8dTxuJQo9bmS9Gs2QQqqN5wbtsO3ajWaf72MMGSCYswkx6zasL/0fB1b1ZgGv8abxJtoGmDp1Kq5rr2XKnj0YFRVqHQ2y6VnZLvp5vPmmmntPSYltiM6erbpjMjNh8uTETWiz/p1cTCFo8qPleLZqHo0E500tLK6M73a+70jEm5L0t/jJf68IETK4Go0p9bk884yDeakOFp+dCSvDU+whZR/tXulmSNx6x2dlAZczFeibswZP/e/ZOPcsUuzg6+SnoLAOi0tVDEOAGLQPS0gQ0qCEHG7jEWUWg5sSkaPUmy3mpS2B2T17snYdTCvfzuieTp4a0i3WNeN3MW/PHurDJ3dX9m/F47v96nFII3VDfB/KF2x5+I8YO/4HnTor27JzhmKzWqIun9HPKM4F1CrUYjJ3OSlY6GDtUD81nRNNYZJ9tnY7uN3w4YfquZQUlaG0dm3sefM00MTExOTEcTxGKyI07PZJH5yODCp1pIVgwiI7tZe6mLDAw8y/piINDRGObhCA1EJg02nV8x9U7z0IxPRVVdUisrLG4/cXUle3A/UrexBySiCnjP/xU36KhgUDDY3UMwPU5SyMLc5ugK6h2TWCOR+xbdsCOnWaiNXqxOnMp4RsbiPIGayhPXsYqZfz5qF/8wprOMhBRmoXcP1Dp/PhqOuYWVkZizmMiMAg4E2F17rC+1nRt73yyqbn3adPN52xTzWOKgSFEL8DXpdS7hdCXNnUdVLKN4/rykxMvkOOxXXzeBDfymnLtFE+ufy4FaFvImaDb1fwfGYVu05vx9nZOqG56p94iYEbHyXSQY96P8FPa7DEvU4ayUPoa3Sd9WRTTDZaClxwuw+3gBntlcEKAUE3e0t2cEhtIFokQzMy+Hj/fkrIoSQuTgKImsmoNcGCshpW1pVBF8kHBwR86mb8ObE1jGzThveqqwlJyeO7dzNR9OThl3RCq518VurAai0nGLwHeAOjtj39Rz5EcevL4MuWiHKd685ykpef+D1FXEDne7284PUyt7ISo24P4n89kQPK0bYapGgay3NzG+UFNtz9NAywWNTXx4+Hfv1MQ5gfCmaNNDH5fvFtRyvi8c73YtQZINXG7uHNhxOer6+op8DnI2eNREREIJHAdwMGrkb8dh4ypwQVbhs7ZGvVys2mTTfj9b6AlCGEsNKmzSXY7S5crnFYvUsIVv4vesfWrS/A692JlAFE3830ercF+qrOBHM+YmfGtdGTxt69n8HhyKNg+3aKZTZrjJ9w3sw3WLjkc/aygZ8ymN+f15sev1rDv3Na8HRFZcOQQ7XIoAb/OAPWq8+vTRvV4fLgg+qSZPPupjP2qUdzTgRnAKsAT/jvyZCAWeRMvjd8166byQRafCtnWr+0b12EvqmYfW1sBR0WlOICXLv2Ibt0QUvRMOoNEBoHsTHW2I5L1GFpYPmlpSQXrg0z9KZd7mTa2z4lAi0Akh3GIWRY4AmgsLYWiXp6SpcuPLJzp8q6Fw29ymDDgcPQMnxKaJf87XMv/TQHZKs5vjrDiF5fbxi8ua8KY3V3jEAVgdMmIcoWYLenMHbsn/nNb27n4ovTIRzfYE+Bcbck/6zyHA7mF/vQDamil6wGckgV2BJnF/McjoTZQIsFrr8eduxQjyNzEjXh7h7TEOYHhVkjTUy+Z3yb0YoI/kI/3he90WIlLIIO13Rg54yd0Ws63tCRfGcabwwQ6Daw63HRRrZQnAiEnXTmf+TRi3J6tD4Ly+7HMYw6Im8gpSQj4yy6dbsbgP5A0Z6Z0VZPl2scLte4xOiN4VBUtAD2xda9Y8dM0tL6ke/MxrJ6NWkPPsVHVZvpTW/u5E4GMAAy3kXmlLAxNIqLLe8xVK5kJUN5X1yqbvJJW2xvdkGUOQhZlKj797+PXtdMZ+xTj6MKQSllm7i/9/xul2NicmI4nq0hDWmOQDseRehYxGxEmO7KdLJrYRUdiImtms8PcH7caeXkP6jTSkMDNAFBibAKXNe5jhhCf1vrCtoHvsDpzKfA58N9uo0PDmogDUAgw9l+AujdsiUlhw4Byt9lfzDIDR07Rmf9IOxgLdUSLGmhBGW4exfkT/BHDWUkRNtVDKA8tQIGPgb/eg3q6hCXXMKimTO5pHdvpk+PmbUIAddd13QxKiyEFyY5kX/XwGpAUEN83A7Z349mSQyOj58NDIWUOY3drkQhmLufP1TMGmli8uPEV+CLtoEiwHW9ix4P9qBFjxZULaqi3eh2ZI3PIguYc42b99vsIHVhGZ2/PsDuNq04PKYXIwePZ0fFc7QLbeAcCtFZxeMpc7jKuZet+wIkbokaYdMYRVOZiw0dUNu1Gx2dOQSoq9vMG2/8nAUL+hMo+JJMOjKJe8nn52hoSFTbalAKztI+Z4j8FIDBrKIjqbSxTsBpzSL/SXW/ZKKusFCFw1dUqHGIeCMYcyP01OIbzQgKITKAC4B9UsoVx3dJJibfPcezNaQhzRVofn/htwrNba6YjRemIU2jVHbiTPZFy4txeqvo5+Ar8EHQQJNghOC9CyWXuzvSf1RyAVhYCPNX+fms3wKmcxs2dPTaJ5nJLDZr/bjG15NX39cxfDaYUI6WYmAxNNoebgEcSrhXxucuZPs96tQtJJAb06HvfgwNvKI+plx1AaXpBP5exBeGEXMLDQkoS4Utr8O8eer47dwh8PvfYXTtyvNeydpFql0zvjWlqRm9Qr+faaU+groTpuQiBvq4rJuTs37mIDM9rdGMYKTlJRKgK6WKivj976FrV3P388eEWSNNTH6YNMzWja/BrnEu/P5C9JEFdL8qH4cjNjeX53CwakAZvVxjsKHjwsYnmS8xpMck3jjsxVJdggUDic5v08txOn8RNnaJnQiCFjONCdOczMWI4Uzptgep2L6FF56XLF9ej9NZxB/6X8zFxbdiJxUAGTl97FWGFBbaGjWqSyccgXTRvlVccUVWfLJFUufsc8+NxUd88YX603QFPTU5ohAMzz6cKaW8Oe5rA4DlcY+rgUFSyv3f2SpNTL4DjsepXDKaI9D8/kKKioZFWzpyc5cfsxhsrpiNF6aaNDg88ACzKrswdL+Psq6C0ct2sfW/Ei0lHGthVe7TQRssGQ5b+sNbeQ78hX6Kl3jx5MKgYS4ocTBsGNSN9vGbnDXYND1ayPrjYYORQ1W9jni1G4RAbEtDun3oa5z8zwq22V8TRGITggHVLm55CBjWAVoH4Oyvod9+JfLCswkCGKy1xnNXd/QcH9JmxMThxlbw6f9g2Wyo3go5OWh/+QtGv37Rz+G99+C9R9QJ3UUXqey+ceOSi7NIdER9NwNjpoZ2Ry4pi7oxNepw5h7IE18AACAASURBVAj/FyPS8jJ/voqpCAZjQtMUgD9MzBppYvLjIVm3T3wNJrskoa73rF+Gvqpz9Ln+B+YQJIAFiURnZ82HFPovZESXX7C6ZjYhqaMJGyO6/CJ62uf1zo/OCH7T4PtCv5+5O/rz/iPd2ffOFjQBY8bAbwacRqt7/oDERkQCirALjNzvoIye/IeLOION0Qiktm2PnvY+Y0bjDMFFi0wheKpytBPBG4HpDb72Omow/iYAIcQbwFzg6uO/PBOT48eJcgltjkDz+QpUfs/6PhiegXirV+G48tjVwtHEbKHfz6o+dfSzCwhI6q3guX4fMrQPhwfaV4FtE1EH081rdP54cxq5Bw7icUNJNmzwHOLTjX70yR5C9ZJeNpjwsJefhtwEAg7kV0484wagCxtS6ASxUYwbu6YxuqeTj+1Q38OPdPuQXzmhxEEQuOnLAGePWEbPdsN5ZRGEZoSNZaRQSjQSEh9u+bQJwWx3d5jjYP4qeNGiEcSADSWEnn4a1q2FLl3Q7r+f3//ylwzMyOAPZWUEpEQzBHKJCyPctvnOO5Ca2vRpYCQ6wgC0VIMLbvcxrbejWfMPeXnqvuYMxI8Cs0aamPxAadi1k6zbp9vd3XCEN0q3PVCK0a0H5KzDWNuDstvrkPpWhB146DZkdhEakhAaQWx8RS4FPh84s1nvWoCbIvq7RiW0eJaQTTHDGz13pHVGHu+yDeLd3ZUse+4JihaswzhcT+eROcy4bgOudgYsOBNClphxjZBKDtqD4PbwHy5CzxyHdX8fqqsX0bbtaIYMObqaiyRMxDP66PrR5CRxNCE4EPhv5EF4p/N0KWWvuGumA8u+g7WZmBw3ToZL6JHu73TmI0r6I6f8HXQb3gUWXMv9x7SmownbQr+ffI8HvY2k/0NwfXk6z/aoxQBmTQVbOPA2GJ5hs2iCXV/VIYdIFo4hetom03WW/WcbQ+slFgOkDjlrJN7/8yLG+hCrnWxYMowpl8zCjYdi3GS1Ppe53burtsllfm45XIQhDLhGgym5ZFPC6AGXYd0XIOR/Avq/ACGXEn8hqdpQIHoaeFZ6OrN7qvGrgqztjBvnJL88jfvvu4/1ixdD69bwxz/CxRcjLRa6tWjB+Kws+qWlUeDzkbnLyeTNDupErG3zSNbVycxvKGkcgtsU5gzEjwazRpqY/ICI1FXboF2UpwxP6Npx5mc36vbxF/rxzvfifdGLDHYD60yYdQei6EykboEQyICENTmQvQaJxmoGMo/fKrfsg1/wzLZlrJa5bNaGsdyVHc22j3SmBIw2WMT5nH0whTq5mhs6dozWtk7BIrJ2XoVGAE2kYOk8ncCuu5DBAIuXCea/EKK6Cs46W6N6/F2cfdpe2rNBlffcWDi9tIVgwhNo+zMw3B6+yMnE2f4GXsnOBnKB5h/n3XBDrB30/7N35+FNlWnjx78naVqkYCKLlCIUZNMWaIGqk8Gl7yAu48jwyuA4oLgCr9sPFCiUtchSKYuowyggIHUXURRcsWMFtC4oLUsRymIBSxEqiYC0SXPO74+TtGmatGkbynZ/rmuukuTk5KRT8+R+nue+b4AhQ2Q18GxWUyBoBy4BPFta/onXoOd2DCHOcqe7SmhteGbrmh9I4agzAlQFzUGtrslfYAtUCgwziopwuPdz5MbCF9eFk19s4JHXDhHuaInBXcJz7S2gZLfg5mPFRH1/iHk/KIxuD3mejg5tT7Hyhj/40xoIc+pbRrckwE9aEa57NbS7DLCwE3ml3fmpURwRBgOPn2hP1n/MkAQfF9pwNXNXD9VUSLCRGJZFWJgDcKGqDv7gv2AYDBqYjApPtL2MZw4exKVpRBgM5UFg39xcSo8eRXnlFVizhkaNGvFQSgoZ112H46KLAH3lMMlicbdyMNO8uZniYr11w+bNlbdtVle85d5WrQAYGlWxDVaa4AofMkYK0cACTYLWd9eP97iqmFxoc92re6oDmy2LGKu18lZQ0I93t4/QNeKSgjG0HNSJ3a+69O8dJihN2IbRvRKY4Q4C/8Yarv71Wa5G5S7CGavOI2//VzRWs2jZciAZx28or4jt0jTW/65/zHx3/DhhikKZpjGYNTyAAwMqZVop3+5/BfW7Ul5arLF3L3S9AiZOgG7xsJxfydES9N07mhOt204Ozn2OA5tv54eERjzRIxM0B2GGcB6OfwmzOTao35unbZJnktQT9K1apa8EShB4dqspEFwJLFYU5R/A1UAy8A+fY3oBP5yGaxMiZE5nldDaKFz3Ffkrl6DF/4DS1oQSMR/NQa2vyTewLcoo4vCKw5UDw2Y+TzoWzhXPlnJL+zdQtJFoaBhUyD/QCvOxSMI4iqJBuKZyb24uK7qZyNPiwKiR1w1Gz4WEzZBzsjk7fw5HjT1U3lKBi50YxsZz4xgbAztZGNXPjMMBBgM4u1hgrrt6aJmBNkct9B2S5E6Ed+BSTPyo6YGsosCDraOY3bEjA1q00FfzTCaybDb2FBdTsnw52ltvgcPBNYMH8/6cObRq1YoH7HYyioqAyoFbaameq2Aw6M3cMzNr3rZZMQurrwYOjYqqVBFUmuAKLzJGCtGAAu3uCcWuH+9xVcOor+rF7aiUm+e926cgrUA/3hMEKvpY3v5/B2C2monM1APTJR1+572oh0gghxwS2Ekc3djOSJ7FgMu9+cbBXbxJx+KNHEPv98f26fwr51o9TcOn1W6Ze5I3hwScmNBwkrfTyJxFv1K8WSM6GiZMMXL9DQpGRaUMEzkkkKfEMZp5JCg55GgJ5F0RB3tbs6hXFD27XcH+/ek4HIWcPLk1qLoF3m2TvCdJhw+XAPBcUW0gqGnaCEVR1qHPempAup+muLOpzZqxEGfA6awSGix7tp38/iVojnvAdBfavLG0fnUrjXb2r/U1+Qa2QJUVz6GPRLHcvSoYrihE5UYRGfkuYb83RVFU0Iyoioq59xG2nLTg3KegKCqKqZTeCUvpQT7jlflsUWPRgLxukHclsOxilE8saH0PV7RU2GIhYo+Z1C7mKm0U2G6G0fGQYIMcC4d+MvN/G6ysW5dJTIyex7BndwQGVcWoKPRs2hSgvBrnX374gdK1a9FefhmOHYPrrydi+HCe+dvfaOU+xmo2lx8PkJZV0b8P9J+eAC4lpfogzpMf6KKiT2BSklma4IoqZIwUomEF2t0Til0/vuNqp0HDcHboGrCytyXJghKmoLnckaABOi3ohNlqJttuJyvaRtIjFoqLSsg7FKdvBQViGzdmmHEPxuNaeb0zDQO9Ik5AqX4qbXss/xh9NTjBaYIx82C7OxiM3Q4JObgDxDgeL0zBuTSDgv/uBfPvRD3+D677W1NWm3qzWoEELYccJaH89fOI0yd5VWBBF2K2RTN8PhQWbqW4eDUAx4/rezs9FUcDkUnSc18wfQT7KYpidv/b7ueQEZqm/TfkV3YG1Lecvzi7na4qof74+1uyZdn0nAEVcGooub2JujsR8x0xFc8LcmuLb2C77cRJSpYfIkyDsjA4mGiij9nMFwkJeiBjsbC6ANa37IozZiXh4XpeQJnJwJbeGo1vPk5KMQzOyaVXwlKMcdswYGSi4TD/WjAA12P5egEXpx70he00UzY2Hq2HDWWLhX7RZlIXVwwA3m0UAMgzo+zQ34/qzs9bv95KSoqVGGABhTyan49L0xi1ezfdIyP508UXs/DNNymZORMOHIBu3THc+h+G/5+VoT0slQI/X55WDt4rgv4CuGy7vfz3U94Gwic/MMliwRojTXCFfxfSGCnEmRZod08odv34nzDuU+3xUfdHcWjRofJVQWexs6LqtKpiUBSe+rUlo18Flwaf3Qw74v5gCR2ZgwkTTjQUnmMkA5q0oGNpDgBKTgKKMwyDOy9/6sEWvH69RtimU/zfmFPg0DgaZueRP7/C7o3v6+Ww774H7vonRZGRvOV9oe5gECgPBnEBC7rAh9EUmvSVvcaNV1V6f0eOrKoxEPSMtTJJeu4Kqo9ggMHN81hmoMfOJaEo5y8EBP5b8h6oFJNC50HDKv2NBbO1xTdQ9Dy+vsDG6/OgR46evze4i5M+VKyUfbWukENf5kNCM57s8hA33ZOD4urAZz1bsbubgVsN8P6lGo44E93Jx4ARoyGcotxbYG005EdCgo3rL7Zwy2AzzZvDqFFmHDv0lTLvINC7jcKyZXo+nsEATz4Jzz/vf8AodjrRNA0VfRVuRWYmY+bN4+uvv4Z2MTBtBlx1LVpyAntnmCEVqOY/T881ZGXpfQOLi/00vPXZApoZH1/++8qMj68SIEoBGBHIhTBGCnE2CLS7J1S7fmo7YRw1NKpSWoYlycLrNhul7qrTV2zT6PXEr4Q79eNv/QSeeAa2xbm3aLq3i+YRx+3Nu9CleXOOHFlFk9tv5sBrRjSHRli4wk392zKou5mCtQXscOxglbqK1x1vcOrLU/DXW+G++6B5C/1FvHrQxyrbmaeN1nv8KiZGq/NoYv4TjV7qxPoP3ZOzqj5W3ntv5cbzLVvWXOrTe6yVSdJzU019BMcEeyJN0+bW/3LOnPJy/u7iFTZblgSCok4C/S3VNFDVtLWlukCxucnEtjjY5p7sa5NbRsHrBeWzoiX987nXoTHYBKPTY1nQpDWKAdgHYcui+KAMtDmHyQuLY7RrPqkXHeam+Fswmaz6bN9OM+H7zDztVSSle/fAH/6B2igMGFD5tifJvPn1+ipc6c8/oy1ZwqKNG2ndujWLFy+mrMsd/L/lJ3CttKBtM/N5HmzY4L9gi2/Suudxz/2eawN9C6hnsC51bwG1BthqKoQ/F9IYKcTZIlCw1pC7frxf03dcT7KXF7wmIQdMZRW3w/TODOTFQZ7m3i6q6Ns9j7x3kMi7/km0dTjEQ4vMyhO/LpeLD45/wFPqUxzlKH8y/JkjKcPYc2P78jZL3vmKaPpKoAknRkVF05wkGnL5v053w1AzfVdUnpj1rP4dObKKli0Hlt/OztYndsF/X1yZJD231bQieJPP7cvRS1Ds9brPkwh/Tg9yFktF8Yq6Nu0UAur+t2RJsqAYFTRVQzEqVba2eAeKrlKV1ak2uqTqve2KnU4M6LtO47ZD9JgD7HPqieut7m2F0amBe4tJQg7k/bMILUzf6un8VC+u4snjy8vpye67zQy6vvrZvmA+/H2P8Q3OPEnmJtMprr75ZTauzaBR48akTJ/OE088QWRkJAAJ4c1JTYXP8yrn+1Va4QuQtB7o/uYHLaglBghTUcsMND9ogYpdukIE44IZI4UQ/vkGoFazmdtbtGD10aPkJIAzjPIVwTIFcnpQKXCL3QbzxoDJ+QffLdrM1V/0LD+n2WpG0zTWrl3L+PHj2b59Oxe1v5Ibu02m8JYe7PEu7Km6z6lU3JWn9ATCUTUnKCaGdxmkT3IGGNujo4dX2g6anQ3/8z96mgXou3wkD/D8UlOxmEqDnKIobwPjNE3b53XfjUCtW0W6n4emaZ+7b1uAO9EH0MuBzzVN2xv4DKFlNluJj8+UHEFRb4H+loKqaqb4/PRyMNFESRh6HqAJ5u42saev/mHePMZE7HZ9a+ilh0FxUN4kHvSA0FWqUqYo5JxqBmHF5e0clF42tDyzHgzmmTEaK2/bPF2zfVlZUFp6HFWdi8s1j41rSnn00UeYPHkyLVu2rHSs1QqpqfpKYKBchEBJ64HuL15vxvB6PGoPG4YtFjZfayZtvWxvEcE7XWPk2TY+CiFqJ7ltWz4uLmZHnMboedDvU0CBz/6ikLflMrjyIBg0PX8vV+/r6+nT+8wbO0i1/gmA7777jrFjx7J+/Xouu/xySE3l1HXX87ni9SVBA8qAbRdDwu8VQSZQevQ6Evv91+9320Bju/fOGs/46eF0SiB4vgkqR9BLX+8BDvSBSlGUt4CHa3mu2cA439uaptkAFEVZCQyq5TnrxWy2SgAogi7YUt1x/v6Watr6acuyoZVpehP3Mq3K46+2O876ee5qYfGQt+c4xuchY5OdbzfnM2e0PpiUGfVG8Rp64ZgP+mzj6tZHMHx4JVsbdaZLx0j2GI/hQEUxKIwckEux4XV++CGJn36ysmxZNtHRWdjtp29CxOl0Uly8BFWdBvyK0TiI1NRZGI2d2L0bfOJAoOZchEBJ69XdHzFdz3M0GmF5fkV/QekTKOooVGPkWTc+CiGCZ/Uq1vaJrYQFTxzSJ1/LNGIjviLh6x3kEE/en6PIidfHbTR97F7ZpYTCN77C9t6zrFy5EkuLFlw7eTIlt93GwVOnKl7EE/CpwEetYUFXeGgP3HVAv78MRrVuh9lsDroVREZGRa9dgwE6ddLr0JSV6ceYTFIQ5nxT20DwmKIo/9E07RHPHYqipFHLhrnu2c5NPncnegY5t98URemladqPtbxGIeos2F5EdelZVFNVs2CqnuXFufsJacA+PWghwUZchlYxowh8eBv82grsCXt53P486qw0cJYRr+3ijW96MvLmTjyj5tPVsI2bmo8m/N4y7rknnIiIBWjaKPbtOz1FkzRN49133yUlJYX8/HwSEq7Hav2AhIRrGDUqcMP28uqesRZSAvyeAwWKwdy/fz8sWSIlsEW91XuMlPFRiHOH9+rZ1phClh46RHREBMlt25bnmu//wM76zodBU4k1bmfelXrxlrKyCF44sox8Lap8R6ddO8ahla+wZOMHGMPDaTdsGAcGDGBj48bgCQK9isFQBpQZ4LMoFAUavdaRx69rQY6m9/Qd3qfmnEm7PZstW7IYOTKJnBxrebVvlwt27ND/ff31EBvrP0dQnNtqGwjeCXyuKMo/qdiiolC1gW5A7i0uv/ncd6PvfYANuBGQgU40mGB7EdW2Z5Fn9bDTgk7s+eU4OfFgiq1c+NI36Rz0hrWWJAt5mGFTFKbuRZShEaYoPNg+iqGZQKyFR3sqOE0amhO0cMi6BXJj4V9kY3otDsVpAtVImKIR57SRsxfUGI0e5GDSnBgMKqrqQFVXoWm1K5rkW6AlkI0bNzJ27Fi++eYbYmNjWbNmDbfddhuKopCWFrgXUaDqnv4E2upS0/3Z2bBihZTAFvVWrzFSxkchQifYsak+5/fknyu3F1I2cpf+wPHjrDl6lGGtWzM0KoqhiWZeejiessE/k5CYg8ngxIgKYQ6uOrmDDp9G4XSe4i3e4c2yNzm1oQRuuw3Xvfeyv0XzKq+ruNyxYEFj+G8ryLFgyjfz4AhPoGYGgiua46ly7nI5mDUrnNGjM8nLq/rLatQIXnih7r8rcfaqVSDonn1spijKP4AOwF5N01bV8DRfie6tMt73WdAHNm/FQMdanluIoPnb2hlsL6La9CzyXj0kXOHJubClmUZ47uEqQY3nOooyiihaXqRvFQ0z8KQWzxaXGWOPBEY8a9P76CV5nmdm4ZAENkUVkZALPW6J4j+xkFFUxNeHeuKMX0K4yd03UAtju8nC/3WCDS4Dua4EnJjQXGWUlYVTUDCQzp03BF3oJlAhFm87duxg/PjxfPDBB0RHR7NkyRLuu+8+wsIqPn6q60Xkr8F7qCt6SglsEQohGCNlfBQiBIIZm3wFmxbi4Z1/zp+PVMrNcwEvHjrES0VFLOzcmfUvRJP+YXu2qD1xKiY0nJQ5w/n26b9w+d613MtyiinGqvTh1wnD2NM3pmqtAPdKnaYATgPM74rhJzP9+0PySzXn+/l73FPlXFFchIU56NUri927rfzpT7B+fcVxA2tdCUScK2q7IgiApmnv1OV5iqJcTuVqah7N/NznO/B5zjEcGA7Qrl27ulyGEAG3dgbbiyjQcf4GEluWDbVU1at2lmrEbYbNsXpQk7HFRtZGc/mHdPl1lagVH/qqyv9q+3kIB8Wbw7G83g7rdeaK1gvNobjYTFKSGesd+nOswNa3zCxZGMXovlHcPHA7Sa52nOhcxPO3RNCnj5Xu9ngytsQwfn4XujfZxPbtSSxcaCU2tnvQRZMCFWIBKCwsJDU1laVLlxIZGcnMmTOx3n8/3zgcfH/yZKVgrrpAzF+Dd2/+msLXhZTAFqFSlzEyFOOj+zwyRooLhr8x155tZ1eqjY6lFrap5qC2+5ePvaUqilGh8787Ez08utrX9p7AVL5uSdlV+g7w2O3uXP4EyIvTeHjXLjb2jOQ9q5ls+xCWfBRFyXc5bFzVBHvhg6zR9hBHHFOYyr6/dWdBX68X0fy8sBFQVLjrAO06HKDwylK2tm6NlcrX6xsML1hQtaeud5XzsLBwrr46iUce0R9fvBhWrdKDwOHV95UX57A6BYL10CvAAOm77QX0WdAqNE1bDCwGSExM9PefiBA1qm5rZ7C9iHyPCxRcmpqb9GRu9M/uE2b9czwMA9kPmTiRX8BKk4WFWWaiPdfl1QtIMcC1ruLy11GWFPNVz570G2WmpAQ0DT03oFHllgmPPgquMjPbt9yB0i2bvy7oS1OjA5crnK++ymT9eitDk8wMTY4hK6tf+Yc/BF80yd9K3u+//86cOXOYP38+TqeTxx57jEmTJrE7PLzaLZ4Bt28GaPAOtds2KsRZrt7jI8gYKS4c/sZcgNy+ucSUqsxRDYw1xLMn3Fzjdv9KE7aqRv6j+UR2j6z2u0DlCcxotsbAuk8PMnz0Hxic4DTB6Hl6Xn/6/v281707VrOZ93Ojmb3gGWAj4S3bMunYU1zvuhZXuMIiTx1iPz0By1cIPf++9ig/K/Dzcfju+HEAhkdXBIPeE7UlJfCwu1xVRETFdwXfKudJSRWD8PDhEgBeCBosEFQUpRfweYCHbVQd2JoDe07rRYkLVm22dgarKKOofCXPO7h0Fjspb/JngCcjW3N1h0acfNbEtbt2Y0LF6TCwKSOegT1NKIqCZtBQwhSiHoiiaP0JtLzjFbtEXLB7lY3SUnN5Urem6X1+vFsmqGrFtfXsmYXRWJH7t2xZFq++ai3fMpOSoh9X25wK74GwTx8HmzYt4u9/n86RI0f45z//ycyZM+nYUd/B9lJBQZ23eAZq8N4Q20aFON1kfBSi9vxN6IK7bZIKjQwqY26s6LdbHe8+vqAHgzXl/kPlCUwr0dxc5GRf2b7KfXvjoNDhYNeuXUyYMIFVq1YBreCqGTimX8O7u8PY66kGHoff9lHlvINDH6uOHKkUCHomaktL9e8Dnu8L3t8VQCrmX+gackUwEUj0yn1IBD05XtO0dxRFme1zvAV4qwGvT1xAgt0CGix7tp2i5UXlH9LeDeEtSRYMERVBZ49borguxszKfQWYUPV2fqi0zSti94rD5Q3lOz/fmcjukWz7cj/NqPj8V42QP6AE5ZAdtlZct8Hg0xohQv/ANxjgxhsrtn+4XOH88ENSle2c/nIqoObA8E9/0jh48B0eeCCFPXv2kJSURHp6OldddVWl42ra4lkXp+OcQpwBMj4KUUuBJnS97xuQaiGYGMdsNdP5353JfzQfTdUwRNRtgthzTS6HSlmYvj2U337jopdfJvbVVzEaG/G3v6Xy8c8P4frXYQj/nbxYyIvFfwDouxqoVPSMV6HS1tGE36v2383M1HvwrltXEQj69goWF7YGCwTd21XKKYrSG1jpaZgL7FUU5XKvJrmXS2lscToFuwU0GOU9AAEUiHogqtJWU9+gMzsb0j6yMAsDGiplGPjqK7hNc29NUTSObz7O7lG7aV6q4gR+oTEHzSZWzfydrVceIvaZTLp/eJicT29h504rCxdW1zLBit2ub/84eDCJPXusGI0V2zmzs/XBwjNz6HDo/YS8K2n6S7b/8ssvSU5O5rvvvqNbt258+OGH3HrrrfgUu9CvqZotnnV1Os4pREOT8VGI2gs0oVvXSd7o4dFEdo+s1wSx9zV9ermd0i9fJGJcBhtLSoBhlJVN5bNfLsLwbC6u8pwRrxNo+v+ijl5MkeU4GDV9R5E7GDQB/+7Shc17nLw030RZr9+geSl83JrnM6MZ4DNOW6362L5hQ8XE8L//LfnwokJD5wgC5cnsN6JXV8M92A0D7lQUxVNye8SZuDYh6sJ3ZjJqaFSVJHbvQSUrC7a4zIwmngRs5GDBoMEtxsMYFf0cULHFJcwAP98RQe7jjdiq2unKdtINozH9zYnzpjmMG5cJWElLq1i9882582z/iImpHCSCvhLoCQINBnd/QgIXgtm+fTvjx49n7dq1tGnThmXLljF06FCMRmO1v6dAWzxry7dAjASA4nwh46MQwfM3oVufSd5QTBBHXhXJm1veZOrIqRw+fJg77riDmJhZPPdcV1QVnHEFesEA75w/Dxcoz3ZhwGXRLPvWjjPOhvGEib89cZyoVjA0Kgqr2UzaCtDWAKsrtoI6jP6L4mzdCt27Q3Q0JCdLECgqOyOBoHcyu9d9Nt/7xPnHbs8OuiLlmVDb8tEe/noA+ktiL8ooAuD6nlGEh5v5qdRMnmrGYNC3cjZaEI+6WQ8Me/UEQ/hhVIdKaRisSjrGLk0hTFFIcOVgUpwYDSpamINu3bJ47DErqhpcqWzvINHTw88TBN54oz6DCFV76/3yyy9MnTqV5cuX06RJE9LS0hg5ciQXXXRRbX/VdSYFYsT5TMZHIRpedfnx1VXP9J6U/NPFF/P+++8zfvx4du7cSZ8+fXj33Xd5//0/89prelE3oxEM2yyoLgOqUdVjQAW938Suphj+04l4Ux6Dk1dw991JrF9v9XtNvvl/nglc3y2fixfDCK9po1tvlUBQVHZGAkFxYfI0LvX0qIuPz6wSDNY1EAvJ9QWo+hks75nEgrSCSkns5X0BS/WpPyW8iHXPJ7C+2Oxu/+D5ADfTb5S5PPhatyCefbt/Zm7MMbbFgVHTGNa6NT+9eyvO3q+hGRyUlYWTk6Pn/Hm2ddZUKtubb+XP1NSK53pWDhMT7axdm84zzzxDWVkZI0eOZOLEiTRvXrXZ7ekmBWKEEEKEind+vNEIDzzgacxeOZD67DP9pycY9J6UNObl0TUjg63ffkvXrl1ZvXo1/fv3Z/x4ErHMWQAAIABJREFUhfR09wvF2om61cavJ8tQd0WCwwCxv4NBgzIDA37pxF+G59G9u97gXdPCeeSRyt+TvINSz/js/R3Cd9xftarqbakEKrxJICgajKdxqadypc2WVekDrr6BWL2vr5qWErXlu1UUQHNU7P/QnBqXFdtISal8fs/qnGc75vpiM0kT27Mn147RvQI2NCqKrc27MvqJTBISssjJSaJnTyv79vlvyF6T6nr49e7t4PvvX2Tw4OkcPXqUwYMHM2PGDDp06FCn30soSIEYIYQQoeLdZsHlgkWL9N0wmZmwdGnlY5curQiksmw2Sn/+GfWll3Bt2MDPLVuyaNEirhw4kI0nTvD1K7+zYB0w2AZ2Ezy2m6JwtVJOoPJWW2hchsEItw6Amy/LYt8+/9+TfIPSRYsqKn4HMnBgRQDruS2ENwkERYPxblxqMIRjsSRVejyUgVidri+ELSXMVjOdFnTiyKojtBzYksjukZVXBE2K3/P768vnryCKdTiAlVWrrIwcqQ9MtW394M03n1DTNN5++20mTJjA3r17+ctf/kJ6ejq9e/eu2y8khKRAjBBCXBhCtUuouvHRM+56+vJqWsXOGq9uDEDF7bW7dvHq1Kmob78NERGEPfAAq6dP56LISPrm5nLKpUI0MFvRV/xU90+vwi9o0GpAMcWmElxGlVGuw6wzJQb8nhTM6p5v+o3ncWkMLwJRNE2r+aizVGJiorZp06YzfRmiFqrLETzTK4KeawjFoOP7Xjq9b+T48R9xro3HFNGKqKFRAc9f24Au1HmXX3zxBcnJyWzatIkePXqQnp7OTTfd5LcSqBANSVGUHzRNSzzT13GukDFSnMtC9Z3AX2sk37E1O1uvlL18OZSVVW6hdN11+kqh0QiffHKcNz6fybLnngOHA0P//twzZgwj4uL0Ii4FBUzat69yawdPDiDogaDXUBrbuDE7//gDF2AEpnfowCOWQr9jum++36JFlQO7YNJvxPmrruOjrAiKBlVd49JQ9/ari/pWDPMEkiX7SyqtbuavXIY2+FUM93k+nLsGfG5skgVrSnDXEMoP/q1btzJ+/Hg++ugj2rZty4oVKxgyZEiNlUCFEEKIUAvVLiHvrZ+Bcug9u2KGDq08EZudDWFh4HI5UZSXuPPOVI4d+xXlhhvQHnoI5bLL6NqmTfnOlPJUBa9VPzTAAMrWi9F6/F7+mgZg5GWXMWr37kqpDmZzjN9xvKbVvZrSb4TwRwJBcXaJzYPoLLAkAYE/wM5kUZlAvGcvlTAFxaigoaGYXGjxP1Ddh3NdZz5D8cF/8OBBpkyZwssvv4zZbCY9PZ3HH3+cRo0a1eo8QgghRKiEKl3DO+Wih9HOtftt2LP9f3fwTZP44gsNp/M9IIWysl00a/Rn0h54nkW9W+G8bBsJrKdN2d+AmPLnqFC5N6A7ILwu3kS2y4BTUzEoCi9c0Znh0dF0j4wMOtVh+PDA2ztrSr8Rwh8JBMVZI9jVrbNhC6k/3rOXGhqth7WmUbtGmBIPsjtiD+rWbii5vTENut57zKjy3NrMfNbng99mszF79mwWLFiAqqo8+eSTTJgwgWbNmtXynQshhBCh5b1L6GBzC//JMpNE3XLgMzNhU4ad7stzcS1RyV1R83eHjRs38sYbyahqNhBL++jlvHC0PaYVMPd1FefclwiL24LzQAZfXbSGPtH9SN+/v/JJFK+fx8JxToyHBBtqjgVGmmF46Prrms1W4uMzz+oWXeLsI4GgOGsEu7oVbNDUEKuG3q/hr6m8/roxsG4d+WNK0JxGdr/qIjLTXuma6jrzWZcP/tLSUl544QWmT5/OsWPHGDJkCNOnT6d9+/Z1/C0IIYQQoWe2msnDTL8acvyqY8+2E51l4yZKOFRW83eHHTt2kJKSwvvvv090dDQpKS9RfOkASrZvw7BMAxUUNEw5cRjictBw8sOhj5lbHMXq4mK/1xChKJR8EAV5Zv1/VC32Ul2/wmBVl34jhD8SCIqzRrCrW8EETQ2xaujvNQLlODo3XYbm3BdwAKpPfmSwH/yqqvLmm28yceJEfv75Zzp16se8ebO5776etXvjQgghRAhVVyQtmBy/QAKlbPj77nDo0CFSU1N56aWXiIyMZObMmYwaNYrGjRuTVlDA6yaNf5lAc+qVv8sStmPEQBkmlh3vRC5Vg8CrmzZlQIsWJFksbN1p5rvlFY95t3Korl+hEKeTBILVCHU1RlG9YFe3ggmaGqIVhb/XiEmJqfQ6nhVDU3NTjcGrb6Eaz8BYXbPYYGVmZpKcnMyPP/5I584JhId/xr59/XjkEejate7nFUIIIeqjpqqe/toqBStQyob3d4fjx48zZ84c5s2bh9Pp5LHHHmPSpEnsDg/n2SNHSLJYSLJYmN7dwNh5Kr1zFf7yt7bMv3gYcWxmCwnkEUss20kghxwSyCMOgAEtWpASo+eCWKsp9iKN38WZIoFgAFKG98wIdnWrpuqeoewJWNfXqNJCYkEnnMXOoFb8PANjaSmoKhgMEBFR+y0xW7ZsYdy4cXzyySfExMTwyiuvUFAwmKlTDXWaXRVCCCFCqaYVP0+OX1365AZO2QCn08nixYuZNm0aR44c4Z///CczZ86kY8eOZNvt9M3NLa/mmRkfT2Z8PBmtiuBGyKaMbYdiySUWAxBHHumMxoQTJyZGM489SjeSLJZKq52Bir1I43dxpkggGEBtqjHKyuHZpyFaUdT0Gr4rhs5iJzEpMQHOVplnYFRV/baq6kFhsEHbgQMHmDx5MhkZGVgsFubOncujjz5Ko0aNyM6GmTPrNrsqhBBCBCuYvrjBrPhZrRCLvsPGTvBjur9xWtM0Vq1aRUpKCrt37yYpKYn09HQ2t2nDI0eOMLCwkGKnE4eq4gJKVJWMoiKGRkWx4vBhHKqKUVEIUxTQNMINBiY3O0DEUScKKgpljGi6h6s63Q155hp7GELNrSGEOF0kEAwg2Hw1WTk8e9W3J2B9X6M+q5KegbGkBDR3U1pV1beJVufYsWOkpaXx3HPPATBmzBhSUlK45JJLyo+pz+yqEEIIEYxgGrlDcGNSffL+vcfp9evXk5yczLfffku3bt348MMPufXWW1ly6BAjdu0C4LNjx0hu25YwRcGlaWjAsqIiihwOSlRV7xOvaYxvXkRn9Uc6texHt8j+5P72LKrqIMwQzr2dBmE2m0nLCj6/sbrWEEKcLhIIBhBsvpo08BTgv0JpfVYlPQNjaiqsW6cHgwaDnivoT0lJCQsXLmTmzJnYbDbuuecepk+fTrt27QKeXwJAIYQQp0ttirzUNCZVl/cfTIXwvLw8xo8fz5o1a2jTpg3Lli1j6NChGI1GAFYdOVLp+JwTJ7g/KopFhw6hAWWaxpriYtzzsnQjjxt/GwOag1Lb8zzRZBFJbd7khrDtlb4z1ie/UYiGIIFgNYLJV5MGnqK6mcr6rEparXoguGFD4EFEVVVef/11Jk6cyP79+7nlllt4+umniY+Pr9+bEkIIIeohlEFQoB02Na0UFhYWMnXqVJYtW0aTJk1IS0tj5MiRXHTRRZXOP7BlSz47dqzS7e6RkeVbQRVFQXVvz1GAB5ruhuPuRQBNo/T4Bu49PoRFXe5luDm6/DyyA0ec7SQQrCdp4ClOZ4XS6gaRdevWkZycTE5ODr169WLZsmX07ds3JK8rhBBC1Ecog6BAO2wCjb92u5309HSeeeYZysrKGDlyJBMnTqR5gPyK4dF68LbqyBEGtmxZfjszPp4sm43mJhOjdu8uLx7Tu/WtuE6+iFN1UEYYOSSUP9/zXO/fgwSA4mwlgWAISAPPC9vprlDqO4hs3ryZcePGsW7dOtq3b89rr73GXXfdhcFgCOnrCiGEEPURyiDI3w4b3/G3cZ/GPPfcc0yfPp2jR48yePBgZsyYQYcOHWo8//DoaIZHR5Ntt5NWUECSxYLVbGbryZOsOnKEx9u0wRIWVn6/PTKTzw58QOrRy8rbRQxs2TI0b1aIBiKBoBD15G+mMphKabVVUFDApEmTeO2117jkkkuYP38+jzzyCBEREaF5ASGEEOIc4hl/j31xjC9cX/DAAw+wZ88e/vKXv5Cenk7v3r1rdT7fthGPt2lD+oEDQEURGavZnfphtjLIbOVYYWGVlUQhzhUSCHrJttvJstnKZ3vE+cvz//X1u0xctim43n7VMVvN5MXC6zYbzb+CUf3MNVZKC9Zvv/3GrFmzeP755zEYDCQnJzN+/HgsltD3RhRCCCHOJZtLN5O8Opnvv/+eHj168PHHH3PzzTejKEpQz/eeuM2KtpW3jXCoKu/6FJFJLzjAmvEtGNXPXF7h07OSKMS5SAJBN3/NQyUYPD99ta6QJSvzKW6q0XMh7Cuj1uWofXn//RhcBlwd41G3mevVsL2kpITnn3+eWbNmYbfbue+++5g2bRpt27at0zUKIYQQ54tt27Yxbtw4PvroI9q2bcvLL7/M3XffXV4JNBi+LS4WrLMQbjCUfxe8o2XL8hVBAFTYEW5jxAj9u4K0exDnOgkE3bJslWeBsmw2CQTPQ/ZsOyX987nHoaEqYFABrW7lqL15//1oRhVDbxvKDnOdKqW5XC5ee+01Jk2axIEDB/jrX//K008/Tffu3Wv9foUQQojzycGDB5kyZQorVqzg4osvJj09nccee6xKJdBg+La4KF5vJvOR+Cq7w+YUHEBTgTID5Oi7cVatkkBQnPskEHRLslSeBUqSbXfnBd+AzpZlw+jUQAVNAc1dX6U25aj98f37WTDMQnHX2uUIaprGp59+yrhx49iyZQuJiYlkZGSQJI2HhBBCXODsdjtPP/00CxYsQFVVnnjiCSZMmECzZs38Hl9Tuk+23c7+a20Ye1hgS8XErdVsrnT87I4d6VjUgodftKH+aIE8/bGBA0/L2xSiQUkg6GY1m8vLBEuO4PnBX0DnXWFMMSmEP30Z7f4IC6octe+5vQNMv38/fYK/1h9++IFx48aRmZnJ5ZdfzptvvsmgQYOkEqgQQogLjvcY26hXI1544QVmzJjBb7/9xpAhQ5g+fTrt27cP+Pya0n28Hw+bb2DY1niGJpoDTtwO72Omu8FMejoUNoEHH5TVQHF+kEDQi+8skDi3+QvoYlJiiM+MpyijCICoq1vUWI7atx1EoBXDuvz97Nu3j4kTJ/LGG2/QvHlzFixYwMMPP0x4eHj93rwQQghxDvKMsWWlZXxh/IKMFhnsP7Sffv36MXv2bHr27FnjOTZlFjHwY5UfE2BnXNV0H+90DlBp19+GNab68dtqhffeq997E+JsI4GgOG/5C+js2XaKMoooWl6EVqZxeMXhKls/AzWu9QhFA/ni4mJmzJjBwoULCQsLY8KECSQnJ2OWiQghhBAXMFuWje9Lv2eRuoh8NZ9YYvnss8/o169fwOd4ryACdL+7iNhSGGKC8fNhf+sSsu328mDQO53DqCjsL6n8uBAXCgkExXnLN6AD9JW8EhU0/RjvQM53u2eg4K4+DeRPnTrFs88+S1paGidOnOD+++9n2rRptGnTpt7vVwghhDjbVVeMbcuWLYz+YDSfq5/TilZMNE1k9MrRXNLnkoDn+2pdISX98zE6NQzhBlrd2wocGkYVlDKIz4ElsYdYcfhw+RZRTzpHRlERSw8VsajwEMsPHeaLnlIxXlxYGjQQVBTlcuBG983ewEpN0z53P2YB7gT2ApcDn2uatrchr0+cf7wDuoK0An0lzx0EouhFYkzNTex8eCdFy4rQXFqNBWJqWjH0x+VykZGRweTJk/nll1+4/fbbSUtLIy4uLlRvVQhxDpPxUZzNaltJu7rzeFIrCDOw9f54EoeaadNmP1OmTCEjIwOLxcL0x6YzqOUgovpFVft62XY7q/+9i1tLKa8ADpRP1momhR/jNb8V4a1mMxlbbDhdGhihtEwlY4sN63USCIoLR0OvCP5D07R0zw1FUY4pitJB0zQbMBsY5/43iqKsBAY18PWJ81ilQjFGhagHomjasym7R+0OuEoYSHUrht40TePjjz9m3LhxbNu2jauvvprXX3+d66+/PlRvSwhxfpDxUZyV6lJJOxDv1Ioyl8qGFwt48qXXMBieRVFgzJgxpKSkcMklgVcAvW3KLOLGj0HR9CFcM0LU0CiihkZhy7JxMNHEnojdGANVhM+xQGcDaKreGmKHBa6r01sT4pzU0IHgbEVRFnsGM+A39NnNH4FEr/sBflMUpZemaT828DWK84z3TKbvSl6gVcLabPcM5Pvvvyc5OZmsrCw6duzI22+/zT/+8Q8URan3uYUQ5x0ZH8VZKRR58R6eCdlTp0p4h/dZxeuoZXZ69ryH1aun065du1qdLyEXHC5QAJcCpiHNy6/NbDUTA2TaIwNWhB+aaGbZo/E442yYtlsYulBWA8WFpaEDwUt8BrNmwF5FUW5EH/S82dC3ychAd44J1RaSUF2L70xmTEpM+eOVVgnDFKLu12cS63Pde/bsYeLEibz11lu0bNmS559/nuHDh0slUCFEdWR8FGel+uTF+2p6TVN+GvsTU+c/RdGJX4BbiIh4moUL46llDMjiwkK+6XiCIeEKmlPDGK4QP6zqSaqr6G21QtZCM1lZZpIeCb7vrxDniwYNBL0HOUVRhgNpmqbZ3PkPNp/Di4GODXl9ov5CuYUkFGqayaxLvl8gR44cYcaMGbzwwguYTCYmTZrE2LFjufjii0PxVoQQ5zEZH8XZKlTj5Lp16xg3bhybN2+mZ8+epNz3MidP3qg3ca8mAPM3uby4sJARu3ZBO/h2LqQebMFN/dvW6dqsVgkAxYWrwauGeiXEd9Q0bZz77mZ+DvUd+DzPHw4MB2q9hUCcfrXdQhLK1UO7PRubLQuLJQmzWf9UD2Ym07uRvPftYP3xxx8888wzzJ49m5MnT/LQQw+RmppK69at6/V+hBAXlvqOj+5zyBgpQi7YvHh/Nm/ezLhx41i3bh3t27fntdde46677sJgMNT43ECTy6uOHCk/Ji8O5v6plEG9KzeMz7LZuN60i8ucmyp9LxBCVGjwQNBd6WyxoigWRVF+APpSddsLgN+9B5qmLQYWAyQmJmr+jhFnTm22kFSqHhausPXVKBL7RvndwuH5UPe3xx/0IDA3ty+q6sBgCCc+PhOz2RrUTGZdVzHLysp4+eWXmTp1KoWFhfz9738nLS2NK6+8ssbnCiGEr/qOj+5zyBgpzgoFBQVMmjSJ1157DYvFwvz583nkkUeIiIgI+hyBJpcHtmzJZ8eOlR/34/HjZNvtAGQUFbGsqIgu2jZ6Mpp9lFX6XiCEqHDG+gi6t7xsAlKAdVQd2JoDexr8wkS91GYLSaXqYaUa3318iHEtKvr8eGTb7fTNzcXhrvrl+ziAzZaFqjoAF6rqwGbLKv/Ar2kms7armJqmsXbtWsaPH09eXh7XXHMNb775JtddJ6XGhBD1J+OjOBcE2tHz22+/MWvWLJ5//nkURWHs2LGMHz8+6Eqg3gJNLg+Pjubj4mJWFxcDer23jKIiVhw+TImqogE9yMGEE1CrfC8QQuhqXpcPEUVRhiuKss7nbhtwubtXku/2FwvweYNcnAgps9VMTEpMjatqng94zQhlJvgxoaLPj7csmw2HqlbqA1TlXJYkDIZwwIjBEI7FklT+mN2eTUFBGnZ7drXXgbHmiqHffvstN9xwA/3798fpdPLOO++QnZ0tQaAQos5kfBTnGs9Omn2T95HbNxd7tp2SkhKmPzadDm06MH/+fAYPHkx+fj6zZ8+uUxAIFZPLrScaafVqLsTmlT+W3K4dFxkMGIFw9zZThzsIBMglAScm/H0vEELoGnJFcBN6M1xvNwKePIi9iqJc7tUk93IpjX1+83zAb/mkiNGtitgZq/nt85NksRBuMJSvCFbpAwSYzVbi4zOr5AgG2jLq7zqqW8XMz89nwoQJvPPOO1x66aUsXLiQYcOGYTKZQvgbEUJcoGR8FOcU7500zlInS+cv5ZkNz3Dw8EGu4RpGRIzgjuF3YG4bgmJxsXkcdt6Mqjo4nFsxjlvNZjLj48vTRgBWHD6MQ1UJUxSui7qRpk3XSI6gENVosEBQ07QfFUXp5U5kB73iWZp7thNgGHCnoih70XsnjWioaxMNx3cridlq5jqrmYX2qIA5gL4f9oHKQJvN1iof9NVtGa303ADbR3/99VeeeuopFi1aRHh4OFOmTGHMmDE0bdq07r8EIYTwIuOjONdYkiwoJoVvtW9ZpC1m7zt76NqyO/MMT9BL7QVl1KvfoMfiwkIK97/BDaoDxWsczyO2/DtBSkxFS6iq3xW6Av3q92aFOI81dPuIHwnQ98hdOntxQ16PaFjVFWWprs9PMI8H4tky6lkRDHZryMmTJ5k/fz7p6emcOnWKhx56iKlTp0olUCHEaSHjoziX7InYw9RuU/ly05eEE4OivM5FtlvoZdoKZfXvNwgVLSJi6cqfCCMCMBrCOWhKpF+AugF1/a4gxIWqwXIEz2XZdjtpBQXlFan8sWfbKUgrwJ4d+JgLnb+iLP6E8nfp2TLaocP0oCqGlZWVsXjxYjp16sSUKVPo168f27Zt48UXX5QgUAghxAVt3759DBkyhN69e7Nt3zZuu20BZYadaNq/2Kpewtb74+kwvUNIegh7WkTkEcdo5vFlo0eIj89kvbNLjXUDhBDBOWNVQ88VwVSsPNuaqJ+tgmktcTp+l/62jPrSNI0PPviA8ePH89NPP/HnP/+Zd955hz59+tTrtYUQQohzQXY2ZGXht8F7cXExM2fOZOHChRgMBlJSUhg3bhx5eWb++19wOCA8HBKHmokJ0fcf7xYRecQR3e5/MZujab7NjsFlQDMGrhsghAiOBII18Fexskrrglq2H7hQVVeUxZM7WLK/pMF/l9988w1jx45l48aNdO3alffee4+///3vKIpyWl9XCCGEONOysyEjA5YtA5dLD+gyM/Vg8NSpUzz33HOkpaVx/Phx7rvvPqZNm8Zll10G6MdkZgYOIOtjeHQ0oK8MDmzZkuHR0WRnw6h+Zlwd4zH0trFgWOC6AUKImkkgWINgKlbWpon6hc5fURbvVUAlTEExKmhop/13uWvXLiZMmMCqVato1aoVL774Ig8++CBhYfKfhRBCiPNfdjb07QslJaC5+y44HPDf/7rYufMVJk+ezMGDB7ntttt4+umn6datW5VzWK2BA8Bsu73GQm/V6R4ZSbHTSffISEAPOB0OULeZIc/MqkPQPTW0AagQFxL5xluDYCpW1qaJuqjKe0VVQ6P1sNY0atco4KphfX/Hhw8fLq8E2qhRI6ZNm8aTTz5JkyZNQvF2hBBCiHOCJ7DyBIGgYTR+wvLl49izZytXXXUVr776KjfccEOtz11Tak1NQaK/5yclmQkPh9JSUFX4/HPYsKFiBVMIUTsSCAYhmCpUgdoPnIvs9uwq/fhOJ98V1aihUdWuGtY1d/DEiRPMmzePuXPnUlJSwogRI5gyZQqtWrUK5dsRQgghzglJSfpWUIcDDIZNtGyZTGHhF0BH3nrrLQYNGlTrNAnPpO2mriU4mvlPrakuSPQEiN/9/jsl7gbxnuenWM1kZkJqqh4Eqqp+7VlZEggKURcSCIpKgmnAHmrBrKjWJw/T6XSydOlSUlNTOXz4MAMHDmTWrFl06dIl1G9FCCGEOGdYrZCRsZfp0yeyZcubOBwteO655xgxYgTh4eG1Pp/3pG33cIUecxW2xGpVUmsC1V/wBIilqorqOVgDg6KUP99q1QPBDRsqitQkJdX3NyHEhUkCQVFJsA3YQ62mFdW65GFqmsbq1atJSUlh586dXHvttbz33ntYZdpQCCHEBe7o0aPMmDGD//znP4SFhTFx4kSSk5O5+OKL63xO70lbHBrPHm7NxtsalQdxaQUFJFksAesveAJE1fukKqifREGEGdzD9+ksUiPEhUQCQVFJXRuwn261zcP8+uuvGTt2LF9//TVXXHEF77//PrfffrtUAhVCCHFB++OPP3j22Wd5+umnOXHiBA8++CCpqalEu6t01ofvpG2PW6K4LqZipa+jupWdSi7DOg8iM/7qKjmCngCxVFVRNfSAssyA9kkUWc0qB3zVFakRQgRHAkFRiacBe6hyBEOZbxhMHubOnTtJSUnhvffeo3Xr1ixevJj7779fKoEKIYS4oLlcLlasWMGUKVP45Zdf6N+/P2lpacTGxtb6XIGKtwWatM2y2eiobmUOozFpTkryXyEx4b9YYyp/L/Au0Gfbb2L+CifqDxYi9phl+6cQp4F8OxZVBNOAvTqeAcKUeJDdEf0aJN+wqKiIadOmsWTJEho3bsyMGTMYNWoUke6S00IIIcSFSNM0PvroI8aNG8f27du55ppreOONN7juuusqHRdsZe6aird5Jm2z7XayvLaC7lRyMWlOjKhompPVP79Hl/axFUViyhvam0mxmiEGBoTJ9k8hTicJBEVIVeoJaHKhze0IcdtOW77h8ePHmTt3LvPmzaO0tJSHH36YyZMnc+mll4b0dYQQQohzzXfffUdycjJffvklnTt3ZuXKlQwcOLBKmkR1wZ1vgBhM8TZ/VUGHdR5ESf4raJqTUsKYeyyGPfZcMuPjIc9M374VxV887SBk+6cQp5cEgiKkKvcENKLk9kaL2xHyfEOn08mSJUuYNm0av/76K3feeSczZ86kU6dOIXsNIYQQ4ly0e/duJkyYwMqVK7n00ktZuHAhw4YNw2Qy+T0+UHDnL0Csrnibp/XD/pKSKlVBU2L6YY/8L6t/fo+5x2LYRhxG92NkmXE4wOWSdhBCNCQJBEVI+Q4QnQYNw9mha8h6EmqaxrvvvktKSgr5+fnccMMNrFmzhquvvjoEVy+EEEKcu3799VemT5/Oiy++SHh4OFOmTGHMmDE0bdq02ucFCu78BYgxKTF+8wC9VwGNikKYooBWuXWE2WylS/tY9thzMXp8FfLWAAAgAElEQVRXDE2q6Gco7SCEaDgSCIqQ8p8o3ick596wYQPJycl88803xMXFsXbtWv76179KJVAhhBAXtJMnT/LMM8+Qnp7OH3/8wUMPPcTUqVNp3bp1UM8PVOQlUIDor3ibd29ANI1hrVvTrlHV1hHeBWHKK4ZKOwghzggJBEXIBVPdszZ27NjB+PHj+eCDD4iOjmbp0qXce++9GI3GkL2GEEIIca4pKytj+fLlTJ06lUOHDjFgwADS0tK44ooran0uf2N3bVo3+fYG7Nm0KcVOJ1tPnmTU7t2V8gWtZnN5kRgPyQcUouFJICjOWoWFhaSmprJ06VKaNGnCzJkzGTVqFI0bNz7TlyaEEEKcMZqmsWbNGsaPH8+OHTuwWq2sXLmSPn3qvwPHk+fnWa0LdnLXe6WvuclUHvwZFAWXpqFSkS/oGwQKIc4MCQQFEHzZ6Ibw+++/M2fOHObPn4/T6eTxxx9n0qRJtGjR4oxelxBCCHGmffPNN4wdO5aNGzfSpUsX3n33XQYMGBCSNAl/1T5rE7R5VvrSCgrKt4lqmoZBUVB88gWFEGeeBIKixp5ADcXhcLB48WKeeuopjhw5wl133cXMmTO5/PLLG/xahBBCiLPJrl27mDBhAqtWraJVq1a88MILPPjggwErgdaFd55fsKt3viuI2XY7+0tKKhWLWdCpE8VOZ0VOoBDirCCBoAiqJ9DppGka77zzDikpKezZs4f/+Z//IT09ncTExAa7BiGEEOJsdPjwYZ566ikWL15MREQEqampjB49miZNmoT8tXzz/GpavfNdQVzQqVP5llCjojCsdWuGRkVJ8CfEWUoCQVFtT6DT7csvvyQ5OZnvvvuO7t2789FHH3HLLbdIJVAhhBAXtBMnTjB//nzmzJlDSUkJw4cPZ8qUKbRq1eq0vabfip7V8F1BXHXkSKXKoe0aNZIgUIizmASColZVwUJl+/btjB8/nrVr13LZZZexfPly7rnnHqkEKoQQ4ryRnV37lghOp5OlS5eSmprK4cOHueOOO0hLS6NLly61eu265v77q+gZiO8KYsLvLfnCZUczBreiKIQ4syQQFEDoWz4E8ssvvzBlyhRefvllmjZtytNPP83/+3//j4suuui0v7YQQgjRULKzoW/fiibpmZnVB4OaprF69WpSUlLYuXMn1157Le+99x7WOvRU8Jf7D9QqMPTN/fOnUqXQgxZG9TPj6hiJobeNBcOqPq8ugbEQ4vSRQFA0CLvdzuzZs1mwYAEul4tRo0YxYcIEmjdvfqYvTQghhAi5rCw9CHS59J9ZWYGDn6+//pqxY8fy9ddfc8UVV/D+++9z++231zlNwjf3vyijiMMrDgddFK421UPLK4W+DqWloG4zQ56Z4q6AVzeL2gbGQojTz3CmL6A+HEUO7Nn2M30ZZx27PZuCgjTs9uwzfSk4HA6effZZOnbsSFpaGnfccQc7d+5k3rx5EgQKIYQ4byUl6QGP0aj/TEqqesxPP/3E//7v/9KnTx/27t3L4sWL2bp1K/37969Xrrwn9x8j+k+oUhSuOv6qh9akeXNQVf3fqqrfrnTOrKqBsRDizDqnVwRLfyklt2/uGWt3cDay27PJze2LqjowGMKJj8/EbA79lJvdno3NloXFkuT3/Kqq8vbbbzNx4kT27t1L3759SU9Pp1evXiG/FiGEEOJsY7Xqq17+tkIWFRUxbdo0lixZQuPGjZk+fTpPPPEEkZGRIXlt39x/oNKKYE1F4WpbPRSguBgMBj0INBj025XOmaQHxJ4VQX+BsRCiYTVoIKgoigW4032zH5CmadqPPo/tBS4HPtc0bW9N5zwT7Q7OZjZbFqrqAFyoqgObLSvkgWBNweYXX3xBcnIymzZtIj4+nk8++YSbbrpJKoEKIUQAp2N8FHW3eDGsWgUDB8Lw4XU/j9VaOQA8fvw4c+fOZd68eZSWlvLwww8zefJkLr300hrPVdviL765/7UpCldd9dBAeX5JSRARETjQqy4wFkKcGQ29IninpmmLARRFeRv4QVGUfu4BbTYwTtM0m/vxlcCgmk7ob2arptWq85nFkoTBEF4epFksSSF/jUDB5tatWxk3bhwff/wxbdu2ZcWKFQwZMkQqgQohRM1CPj6Kulm8GEaM0P/92Wf6z/oEg6BXAl2yZAnTpk3j119/ZdCgQcyaNYtOnToF9Xx/xV9qOwFe26Jw/qqHVpfnF0yg5xsYCyHOrAbLEVQUpRewyXPbPaB9DvzDfVeiZ5Bz+839nIAi2kRU+TD0rFbt2zeZ3Ny+Z0WeXEMym63Ex2fSocP007Yt1BNsghGDIZwTJ67k/vvvJz4+nuzsbObMmcOuXbsYOnSoBIFCCFGD0zE+irpburT627WhaRqrVq0iLi6ORx99lCuvvJJvv/2Wt99+O+ggEKoWf6kpx6++su120goKyLZXrsNQU56f1QopKRLsCXGuaMgVwWbos5q9fe5vrijKjcBvPvfbgBuBHwOdMDwqvMrsVkNsjTzbmc3W0/qePcFmQcHHLF++jxdf/BeqqjJ69GhSUlJo1qzZaXttIYQ4D4V8fBR1Fx1d/e1gbdiwgeTkZL755hvi4uJYu3Ytf/3rX+uUJuEp/hJsjl99VFcxVPL8hDi/NFggqGna54qi+G5lSQTGARb0gc1bMdCxtq/TEFsjL3SlpaUsW/YNM2Ys5NixY9x9991Mnz6dmJiYM31pQghxzmmo8VEEJzkZPvwQnE4wmfTbtbFjxw5SUlJ4//33iY6OZunSpdx7771B75DxlwvoW/zldNZF8Fcx1BMISp6fEOeXBs0R9E5ud89y7nUPgP523/vd9+A+djhAu3btqjzuWa06n3IEz5acR1VVeeONN5g0aRI///wzN910E7NnzyYhIeGMXZMQQpwPQjE+up9b7Rgpama1wpdf1j7YKSwsJDU1laVLl9KkSRNmzZrFyJEjady4cdCvXV0uYG1z/OqqpoqhkucnxPnjjLSPcFdAG6FpmmcG1HfbC+izoFW4k+kXAyQmJmr+jjndWyMbUmHhYvLzH0XTVAyGiNOW91eTzz//nOTkZDZv3kxCQgKfffYZ/fr1a/DrEEKI81l9xkcIbowUNatNsPP7778zZ84c5s+fj9Pp5PHHH2fixIm0bNmy1q/rLxewoauiV1cxVAhxfjlTfQRTgGFet21UHdiaA3sa7IrOQnZ7Nvn5j6FpZQCoammD5zzm5uYybtw4Pv30U2JiYnj11Vf517/+hcHQYHWGhBD/v717j46yuv89/t4TEwTUGUErYlETQRQWBjFaR2uNBWoPy3qpoP7Uemk1+kOttUCGYAS5mISoVA6iB4rQlMaKYNulYqsk/Y3t6pmy5BZED0WBRlFBC860IuY2z/ljJhjC5D4zzzOZz2stFsyTmczOHuTr99l7f7+SThwdH52yQ8UJ6uvrWbp0KXPmzOGzzz7jpptu4rHHHiMnJ6fb3zOZZwEhch7QHwwyMDOT/Q0NhxO/WBVDRaT3SXoiGN22UtqiDHZOdPvL/FZP9QCrkj0+JwkG/VhW0+HHxriSdubxgw8+4JFHHmHlypV4PB6eeOIJ7rvvPo499tikvL+ISLpxenzsqIdsurAsizVr1lBUVMTOnTvJz8+nvLycCy+8sMffO5lnAZuLwtSFw4SJlJHv06o4jIj0bkld1omee6hqVQa7uQT2LmNMy9toOc3NdNNVpPBNH8CFMZkMG7Y44UH3888/Z9q0aZx99tmsWrWKqVOnsnPnTqZMmaIkUEQkQVIhPsaqyp0qQqEAtbWlPW4p9eabb3LxxRdzww030LdvX9auXcuf//znuCSBzdxeN2cUnZHwLaEb9lZzfXgl5/AOAGG+Lg4jIukhaSuC0Z5H64Bgi9LJHqD5oNndwA3GmF1ADnBPssbmVMksfPPVV1/x9NNPU1JSQjAY5LbbbmPOnDkqNiAikmCpEh9TrSp3c/XNzLw9vN9nfI9WMt955x2mT5/Oq6++ymmnncby5ctTulduKBRg1N5bGUEdt5DJFJ5kOyNjFocRkd4rme0jNgFtNs+J3gVdmqzxpIpEF74Jh8NUVlZSXFzMBx98wJVXXsn8+fPJzc1N2HuKiMjXUiU+plJV7pbVN01mE9YTZ8HIbTH7C8dq19Dso48+YtasWaxYsYLjjjuO0tJSHnzwQfr27ZvsHymugkE/WPVkEMZFI4+etIf3j79KxWFE0oxdxWLEAdatW0dhYSFbtmxhzJgxLF++nLFjx9o9LBERcahUqcrdsvqmRQam5gKskf/vqJXMtto1hEIhysvL+cUvfkFjYyMPPvggDz/8MAMHDrTvh4qjlqu7Ga4svjfkaia51QtYJN0oEUwx7d257KzNmzfj8/lYt24dZ555JpWVldx0002qBCoiIr1C6+qbQyfdTUP28KNWMlu3a/i06lMq3qpg7ty5/Otf/+Lmm29m3rx5ZGdn2/jTxF/L1d09e/J55hmvGsSLpCElgimkvUaznVFbW0txcTG/+c1vGDBgAAsWLGDy5Mn06dMngaMWERFJrtjVNy896nnNCWNTXRNvut6k4v9U8M+P/8l3v/tdysvLueCCC5I/+CRxu728+66X8eOhvh6ysqC6WsmgSDpRIphCutto9sCBA5SUlLBo0SJcLhfTp0/H5/Ph0YFwERHppdxed4cx0u118+/H/01xWTE1e2o476Tz+ONzf+TKK6+kReGeuGru3eeE83h+fyQJbGqK/O73KxEUSSdKBFNIVxvNfvXVVyxatIiSkhJCoRC33347c+bMYciQIUkasYiIiDNt27YNn8/Ha6+9xpAhQ/jVr37FrbfemtBKoM29++rDYc5717Bw3yDO+/6ghLeKaEt+fmQlsHlFMD/flmGIiE2UCKaQzjaabWpqOlwJ9MMPP2TChAmUlZUxatSoJI9YRETEWfbs2cPMmTOpqKjg+OOPp7y8nPvvvz8plUD9wSD14TDD34GSKRaNDZ9Q8/i+Lh/1iBevN7Id1O9HZwRF0pASwRQQCgW+Ltft9bYZLCzL4vXXX8fn87F161by8vKoqKjgiiuuSPKIRUREnCUUClFWVsZTTz1FOBzmoYceYsaMGQwYMCBpY8j3eMhyuRizJUxmA5hw1456JILXqwRQJF0pEXS4UChATc3YDhvhbtq0icLCQqqrq8nOzuaFF15g0qRJqgQqIiIJ46Tzbm2pq6vj2WefZd68eezfv58bbriSBx44j1GjrsPtTl4SCOB1u6nOzWXDv/aSUbkX6q1OHfUQEUkEZQkOFwz6CYfrgabDjXBb2r17N7fccgsXXHABNTU1LFy4kO3bt3PjjTcqCRQRkYRpPu/2yO7djK2pIRAK2T2kI4TDYX77299y7rnn8tBDDzFmzBjefHMFky//lMaKT9hSeR+hUCDp4/K63Tzww+GcXz2a7LnZtm0LFRHRiqDDtWz62rIR7v79+5k3bx7PPPMMGRkZFBUV4fP5cDv0jqyIiPQuzefdmoD6cBh/MOiYVcHq6mp8Ph8bN24kNzeX119/ne9973v843eL+OTnJdCQiZXZwN5BG3D/MD77Io84xhFj505rnalqmiiBgM4FiogSQcdr2fTV48knK2s0ZWVllJaW8sUXX3DnnXcye/ZsTjvtNLuHKiIiaaT5vFt9OEyWy0W+A1oSbd26FZ/Px5/+9CfOOOMMVq5cyc033/z1Dpma0dBQD+EMaLAij3/Y8/ft7DEOJwgEYOxY9Q4UEW0NTQlut5dvfrOQ3/1uO8OGDaOoqIjLL7+crVu3smzZMiWBIiKSdM3n3eZmZ1Odm2vrauAHH3zAHXfcwejRo1m/fj1PPPEE27dv59Zbbz3imMSg75+H6ZMBGRamzzEM+v55cXn/jo5xxEsgAP+9KMR//7W221txY/UOFJH0pBVBh7Msiz/+8Y/4fD62bdvGRRddxPPPP893vvMdu4cmIiJpzut225oAfv7555SVlbFw4UIApk6dSlFRESeeeGLM57u9bkZXn99hG6auausYRzwFApB/X4j6khqoD7Nis4vqs+v4ZsOGTm9HBfUOFJGvKRF0iFAgdFRg2rBhA9OmTcPv9zN06FBefPFFJk6ciDHG5tGKiIjYp66ujsWLFzNv3jyCwSA/+tGPmDt3LqeffnqHr03E2bzWxzgSsS3U74eGkUHIDEMGDLXe5qv3prLbaujSdlT1DhSRZkoEHSAUCFEztoZwfRhXlosTKk6g7KUyVq1axcknn8yiRYsoKCggKyvL7qGKiIjEXaybobGEw2Gef/55iouLqa2t5corr2T+/Pnk5uYmcbSxud3ehJ4LzM+HzNUe6htcYIW54JgaMqwGWm5H7ez7q3egiIASwbjpbBCLJegPRhrKNgVZ+dVKXvmvV8jsk0lxcTHTpk3jhBNOSNCoRURE7NX6Zmhb7RTWrVuHz+dj8+bNnH/++Sxbtoxx48Z17j26WNHTibxe8C928+sNuTA6yK1nTaLp/d8kdDuqiPRuSgTjoLNBrC1ZF2dRaSp5nuf5yvqK2666jZJnSzj11FMTOGoRERH7Nd8MpYnITVF/8IgYumXLFnw+H2+88QZnnnkmlZWV3HTTTZ3uldtRRc9UShIjK3luwA2cQah/YrejikjvpkQwDjoKYm1pbGykoqKCmTNn8nHjx4w/dzzzHpnHRf91URJGLSIiYj9PvgdXluvwzVRPfqQNRW1tLcXFxVRWVnLiiSeyYMECJk+eTJ8+fbr0/WNV9GxOmlKp7UMsid6OKiK9mxLBOGgriLXFsizWrl2Lz+fj3Xff5eKLL2bVqlV8+9vfTtKIRUREnMHtdZNbnXv4eEXT8CamTp3KokWLcLlc+Hw+fD4fnm72KWyvomd7SaKISG+nRDAOWgex9lYD169fT2FhIX/5y184++yzeemll7juuutUCVREROKuJ+fXk8ntddPn/D4sWrSIkgklhEIh7rjjDmbPns2QIUN69r3bqeiZjLYPIiJOpUQwTjoqR/3ee+8xY8YM1qxZwze+8Q2eeeYZ7rrrLjIzM5M4ShERSRdNB5t6dH49WZqamqisrKS4uJgPP/yQCRMmUFZWxqhRo+L2Hm1toUxG2wcREadSIphgn376KXPmzGHJkiX06dOHWbNmMWXKFI4//ni7hyYiIr1Y03+aunV+PVksy+L111/H5/OxdetW8vLyqKio4IorrkjqOHTOTkTSlRLBBDl48CALFiygvLycQ4cOcffddzNr1iwGDRpk99BERCQNZByfgetA58+vJ9OmTZsoLCykurqa7OxsXnjhBSZNmtTpSqAiItJzSgTjrLGxkeXLlzNr1iz27t3LddddR2lpKcOHD7d7aCIikkYy+md0+vx6suzevZvi4mKef/55Bg4cyMKFC7n33nvJysqye2giImlHiWCcWJbFyy+/zPTp09m+fTuXXnopL730EpdccondQxMRkTTV0fn1ZNm/fz+PPfYYixcvJiMjgxkzZlBYWIjbbf/YRETSlRLBOAgEAkybNo2//e1vDB8+nN///vdcc801qgQqIiJp7dChQyxcuJCysjL+85//cOeddzJ79mxOO+00u4cmIpL2tBm/B3bs2MH111/PJZdcwvvb3+exax7jb7/8G9dee62SQBERSVtNTU2sWLGCs88+m6KiIi677DK2bt3KsmXLlASKiDhE0hNBY8wSY0xOq2seY0yBMWZc9Pectl6fKKFAiNrSWkKBUIfP3bdvH5MnT2bEiBG88cYbzLh7Br86+CsuefUS3rnynU59DxERkZacGh+7wrIsXnvtNUaPHs2Pf/xjBg8ejN/v55VXXmHkyJF2D09ERFpI2tZQY8w4YAyQB7QuXTYf8FmWFYw+dzUwKVljCwVCR/RaGvrUUBr2Nxx1uP6LL77gySef5PHHH6euro57772XmTNncui5Q+xu2O3YEt0iIuJcTo6PXfHWW29RWFiI3+9n6NChvPjii0ycOFE7ZEREHCppiaBlWVVAlTFmfIwv5zUHuagDxpgxlmVtSsbYgv7g172W6sK8d/97WGHrcAPefnn9eO6553j00UfZt28fEydOpKSkhGHDhgEQyg/hynJmiW4REXE2J8fHzti5cycPP/wwq1at4uSTT2bRokUUFBSoEqiIiMPZXiwmeif0QKvLQWAckJRA58n3HE7kjDFYTRaEoamuiRcWv8CCtxawY8cOLrvsMv7whz9w8cUXH/F6t9ftuBLdIiKS2pwQH9vz2WefMW/ePJ599lkyMzMpLi5m2rRpnHDCCXYPTUREOsH2RJDINphgq2v7gbOSNYCWiVzmwEze/9n71NTVsJSlbKvcxrnnnsvLL7/MVVdd1eYWF6eU6BYRkV7D9vgYy5dffslTTz1FWVkZBw8e5Cc/+QmPPvoogwcPtnNYIiLSRU5IBAfEuNY68B1mjCkACgBOP/30br1hKBQgGPTj8eTjdnuBrxO57du3U35hOWv/spZBJw1iaclS7rzzTo45xglTJSIiaaRL8RHiEyPb0tjYSEVFBTNnzuTjjz/m6quvprS0lBEjRsT1fRIlFAhp546ISAtOyG5ab3uBow/LH2ZZ1lJgKUBeXp7V1TcLhQLU1IwlHK7H5coiN7cat9vLJ598wuzZs1m2bBn9+vVj3rx5/OxnP6N///5dfQsREZF46FJ8hJ7HyDa+J2vXrsXn8/Huu+/yrW99ixdeeIHLLrssHt8+KVoXhcutzlUyKCJpzwl9BIMcHdgGAjt78k3bagcRDPoJh+uBJsLhevbseZ1Zs2YxdOhQnnvuOSZPnnz44LuSQBERsVFC4mNXrF+/nvz8fH7wgx/Q0NDAmjVrCAQCtiaBseJ7Ry2gjigKF63u3Z5AKERpbS2BkNpBiUjvZfuKoGVZVcaY+a0ue4BV3f2e7d3583jycbmyqK+vY+1aF5WV/5vPPvucSZMmUVJSwtChQ3vw04iIiMRHIuJjZ73//vvMmDGD1atXc/LJJ/P0009TUFBAZmZmot+6XbHiO9Dhal/LonAdVfcOhEKMramhPhwmy+WiOjcXr1urhyLS+zhhRRBgV6smuTk9KY3d3p2/E064mH/+82EKCk7kqacaGDHiPNavX8+LL76oJFBERJwmrvGxI59++ikPPPAA5557LmvXrmXmzJns3LmT++67z/YkEGLH986s9jUXhcuem93htlB/MEh9OEwTUB8O4w+2v3ooIpKqktlQfgyRktd5QJExZl30LAPA3cANxphdQA5wT0/eq607f3/9618pLCzk73//OyNHjuTVVyuYMGGCmt2KiIhtkhkf23Lw4EEWLFhAeXk5hw4d4q677mLWrFmceuqpiXi7bmsrvndmta+z1b3zPR6yXK7DK4L5nvj2Bo5VsE5ExA7GsuJyltwWeXl51oYNG2J+rWV1sI/cHzF9+nReeeUVBg8ezNy5c7n99tvJyMhI8ohFRKS7jDEbLcvKs3scqaK9GNmssbGR5cuXM2vWLPbu3cu1115LaWkp55xzTpJG2XWxqn/GuyJoIBTCHwyS7/HEbVtoIAAbNgQYNWoscGTBOhGRnuhufLT9jGCiuL1uDp5xkKmzprJ8+XKOO+44SkpKePDBB+nXr5/dwxMREbFN8P8GWf3sap746xPsqN2B1+tlzZo1XHrppXYPrUOxVvbi3cvX63bH9VxgIAD5+TBxop8RI+rJyIgUrAsG/UoERcQ2vTIR/Pe//015eTkLFiygsbGR+++/n0ceeYSTTjrJ7qGJiIjYquqXVfz83p/zdvhthpghrCxdyS2+W3RMIoF+/Wuor4ctW/JpaMjCmHqOOSYLjyff7qGJSBpzSrGYbqnfW39Eqej6+nrKf15O9qnZPPbYY1xzzTVs376dhQsXKgkUEZG0tmPHDiZOnMj4gvHsCe/hIR5iuVnOZdZlSgKT5N13vUyZUs22bXO1LVREbJfSK4J1H9VRM7aG86rO4409bzD959PZ/dFuzud8SvuUcuNPb8Sdo5LPIiKSvvbt28ecOXNYsmQJxx57LNN/Mp3LKy/n2IZjO2ylIN0XCIDfH9kSetttsGJFZFVw504vF17oRR0pRMRuKZ0IAmyq28RPb/wpNXtqOGfQOZS5yrgofBGm0RD0B+N6ZkBERCRVhMNh5syZw+OPP86hQ4e45557mDlzJqeccgqhn8S3uIocKRCAsWMjiV9WFlRXw//8z9eJoVcLgSLiACmdCH7ERzwUfojT6k9jxYoVXD30arZ9b1unGsaKiIj0Zm+//TabN2/m+uuvp6SkhFP2n0JweZBQfijuxVXkSH5/JAlsaor87vdDUZESQBFxlpROBA+ZQ0y5aApTy6YyKH8QALnVue3e5Yx3iWkREREnOvbYY3njjTfwer2EAiFqxtYQrgtjXIZhi4cxuGCw3UPstfLzIyuBzSuC+fl2j0hE5GgpnQjmkMNVG65ix4Qd9K3ue/gOZ1sJ3uFAGF0xzK3OVTIoIiK90vDhw/FGl6CC/iDhujCEwQpbvHf/e/Qf1V8xMEG83sh2UG0FFREnS+mqoS7LBU0Qrg8T9Ac7fH7QHyRcH+7Sa0RERFKdJ9+DcX1dGdRqshQDE8zr1XZQEXG2lE4EjTGQQafPA3ryPbiyXF16jYiISKpze90MWzwMk2nABa4+ioEiIukupbeG9h3el+zbsjt93s/tdXd4hlBERKQ3GlwwmP6j+isGiogIkOKJYEb/DM4oOqNLr1GlNBERSVctY6CKp8XWsv+ftnWKSG+W0omgiIiIdJ2Kp8UWq/+fkkER6a1S+oygiIiIdF1vKZ4WCoSoLa0lFAjF5fvF6v8nItJb9aoVQW1zERER6Vhz8bTmFcFEFY4JhQIEg348nnzc7vgurSViVVP9/0QknfSaRFDbXERERDonGcXTQqEANTVjCYfrcbmyyM2tBohbYhhrVbOnP4f6/4lIOuk1iWAiAoKIiEhv1ZniaaFQgL3VG/qGf8MAAAnkSURBVKBmNIO+f16X4mow6CccrgeaCIfr2bv31+zbV3FEYtiTZDBRq5perxJAEUkPveaMoHoEioiIxE8oFGBL5X18cvMwPplXz5axm7t0Fs/jycflygIyor9zRGIYDPp7NL7mVc3sudnaBSQi0g29ZkVQPQJFRETiJxj0Y20eCQ2ZEM7Aqre6tNvG7faSm1t9eCsocMSKYPO1nlBLKBGR7kvpRLDpYBO1pbWHEz8FBBERkfjwePIx56/GymyABguTdUyXd9u43d4jtn+2TAzjXTxGRES6JqUTwUP/OMTuR3arOIyIiEicud1eRt+ymL2DundGsK3vqQRQRMQZUjoRtCxLxWFEREQSxO324v6hF35o90hERCTeUrpYjDFGxWFEREQcLN5N3+16DxGR3ialVwT7Du9L9m3ZKg4jIiLiQMno8as+wiIi3ZPSK4IZ/TM4o+gM/YMvIiLSCaFQgNraUkKhQFLeb++fthKuazriGEe8xeojLCIiHUvpFUERERHpnFAoQE3N2Lg1dO/M++095UHILIGGY7pVdbQzEtVYXkSkt3NMImiM8QA3ALuAHKDKsqxd9o5KRETEXvGKj8Gg/6iG7p1JBEOBULd69AaDfqwRW+HJKbBlDIP+10W4vfldHXaH1EdYRKR7HJMIAvMBn2VZQQBjzGpgkr1DEhERsV1c4qPHk4/LldVuQ/fWSV9Pzt8dfr+R/8A1ajeDcid3dcidpj7CIiJd56REMK85yEUdMMaMsSxrk20jEhERsV9c4qPb7W23oXuspC/W+bvOJlwdvZ+IiNjLEYmgMWYccKDV5SAwDlAiKCIiaSne8bG9hu6xkr6enr9TA3kREedyRCIIeIgEtpb2A2fZMBYRERGnSFp8jJX06fydiEjv5ZREcECMazHrPxtjCoCC6MM6Y8y2hI1K2nMS8C+7B5GmNPf20dzba7jdA7BBp+Mj9DxG9qNf/370O/7LQ1/+58tLvjzYldfKEfRvhX009/bR3NunW/HRKYlg620vELkLehTLspYCSwGMMRssy8pL5MAkNs29fTT39tHc28sYs8HuMdig0/ERFCOdQnNvH829fTT39ulufHRKQ/kgRwe2gcBOG8YiIiLiFIqPIiKSEI5IBC3LquLo7S8eoMqG4YiIiDiC4qOIiCSKIxLBqF3GmJwWj3M6URp7aSIHJO3S3NtHc28fzb290nX+uxMfIX3nywk09/bR3NtHc2+fbs29sSwr3gPpFmOMB7gB2AXkAFWWZe2yd1QiIiL2UnwUEZFEcEwiKCIiIiIiIsnhpK2hIiIiIiIikgROaR/Radoik3zGmCXA/JbzrM8h8VrMMcB4oLT5XJDmP7Gi57HGRR9eAKyOFu3Q3CeRMWYcHC6YornvBM1R8ilG2kMx0j6Kkc4QlxhpWVZK/QKWAJ4Wj1fbPabe+ovIf+SFwEZgjD6HpM9/QYs/e4iUi8/R/Cdl7gtbPf68eb4190n9HDYC41o81tx3PGeao+TNtWKkvfOvGGnf3CtGOuBXPGJkKm4NzbMsK9ji8QFjzBjbRtOLWZZVZVlWObEbGutzSKDoXB5uDhqd6ypgYvSS5j+x5kfvrDU7QOTuGmjukyJ6p7N1g1zNfcc0R0miGGkfxUjbKUbaLF4xMqUSwegP3fof3CBfL09LEuhzSIoBwC9jXB+o+U+KE1v9YzqASAl/zX0SRP8H40Cra5r7DmiOnEGfQ1IoRtpLMdJG8YyRKZUIEln6D7a6th84y4axpDN9DglmRfZ7T2p1OQ9Yh+Y/4VoGOGNMAZGzJ0E098mSZx3dJ09z3zHNkTPoc0gwxUh7KUbaLm4xMtUSwQExrrX+oSXx9DkkgXVk4YFxwK5o8NP8J4ExJica4M6Kbv8CzX3CRYsQxDrcrrnvmObIGfQ5JIFipL0UI+0R7xiZalVDY+3D98S4JomlzyGJolsA7rEsq/nup+Y/CaL/k7HUGOMxxmwExqK5T4YxlmWtiXFdc98xzZEz6HNIIsVIeyhG2iauMTLVVgSbl51bGkikUpQkjz6H5CoC7m7xWPOfRNHtLhuIfA6a+wSKHmqvauPLmvuOaY6cQZ9DcilG2kgxMnkSESNTKhFsY8nfQ9uTIgmgzyF5Wu29xxiTo/lPLGNMgTFmXavLQSJlyTX3iZUH3BD9DAqijycZYyZq7jumOXIGfQ7JoxiZfIqRtop7jEy1raEQqUqU02JveE6MA5OSePocEix65qGqVWWuMUT2hmv+E2cDR++/Hwf4on/W3CeIZVlLWz42xhzRqBjNfWdojpxBn0OCKUbaRjHSJomIkSbacDBlRPeC30DkL2EOkX8EYh2alB6KLkGPI7LcXwWsa/5LqM8hsaJzv5EjD/p6gPGWZVVp/hMrOv950YdnAW8178nX3CdH9G6nD9gELNHf+87RHCWPYqR9FCPtpRhpv3jFyJRLBEVERERERKRnUuqMoIiIiIiIiPScEkEREREREZE0o0RQREREREQkzSgRFBERERERSTNKBEVERERERNKMEkEREREREZE0o0RQxCbGmCXGGMsYs6TV9THGmJh9XYwxBcaYjdHXbTTGTIzxnBxjzLroc3ZGm+6KiIikBMVHkeRQIihir11AQbQJaLuMMauJNA+9Gzgx+udfGmPmt3rqOmB1i+esM8bkxHXUIiIiiaX4KJJgSgRF7FUFbAIK2ntS9M7mOOACy7I2WZYVtCyrCsgGCo0xY1o8/R7LspZGn7Mmek2BTkREUonio0iCKREUsV8pUNTBc+YDpZZlBVtejD5eGv1687Wq5j+3CIAb4jNUERGRpFF8FEkgJYIiNovelTxgjGnvrmcOkTujsawD8lpeiJ6jmA9UE7kDGoz5ShEREYdSfBRJLCWCIs4wn8h5haO0OL+wq43XBoHWZygGRK8diPE1ERGRVKH4KJIgSgRFHMCyrKXAgFhVzizLag5wbZ1jyCES7Fq+psqyrHssyzoLKOrgbqqIiIgjKT6KJI4SQRHnWErbZyF2AePb+Np42j/jUAVM6sG4RERE7KT4KJIASgRFnKMUGEOr8wxRPiLVz47YxhLdFjOR6GH4dspg6wyEiIikKsVHkQRQIijiEC0qnB11FiJ6YH4NsNEYM84Y44k2wt0IlLeohOaJNtIdBxD9fSKRICoiIpJyFB9FEsNYlmX3GETSkjFmCYBlWfe0uJYD7IxeNzFeUwDcQ+TO6CYiJbPXtHrOOCLBchyRLTO+1s8RERFxKsVHkeRQIigiIiIiIpJmtDVUREREREQkzSgRFBERERERSTNKBEVERERERNKMEkEREREREZE0o0RQREREREQkzSgRFBERERERSTNKBEVERERERNKMEkEREREREZE0o0RQREREREQkzfx/z+5RpWbtuO8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,2,figsize=(15,6))\n",
    "p1=ax[0].plot(dJDF['N'],dJDF['Si'],'b.',label='SJDF')\n",
    "p2=ax[0].plot(dSJGI['N'],dSJGI['Si'],'c.',label='SJGI')\n",
    "p3=ax[0].plot(dSOG['N'],dSOG['Si'],'y.',label='SOG')\n",
    "p4=ax[0].plot(dNSOG['N'],dNSOG['Si'],'m.',label='NSOG')\n",
    "ax[0].plot(np.arange(0,41),1.35*np.arange(0,41)+6.46,'k-',label='OBC')\n",
    "ax[0].set_title('Observed')\n",
    "ax[0].set_xlabel('NO3')\n",
    "ax[0].set_ylabel('dSi')\n",
    "ax[0].set_xlim(0,40)\n",
    "ax[0].set_ylim(0,85)\n",
    "ax[0].legend()\n",
    "\n",
    "p5=ax[1].plot(dJDF['mod_nitrate'],dJDF['mod_silicon'],'b.',label='SJDF')\n",
    "p6=ax[1].plot(dSJGI['mod_nitrate'],dSJGI['mod_silicon'],'c.',label='SJGI')\n",
    "p7=ax[1].plot(dSOG['mod_nitrate'],dSOG['mod_silicon'],'y.',label='SOG')\n",
    "p8=ax[1].plot(dNSOG['mod_nitrate'],dNSOG['mod_silicon'],'m.',label='NSOG')\n",
    "ax[1].plot(np.arange(0,41),1.35*np.arange(0,41)+6.46,'k-',label='OBC')\n",
    "ax[1].set_title('Model')\n",
    "ax[1].set_xlabel('NO3')\n",
    "ax[1].set_ylabel('dSi')\n",
    "ax[1].set_xlim(0,40)\n",
    "ax[1].set_ylim(0,85)\n",
    "ax[1].legend()\n",
    "#ax[0].plot(np.arange(0,35),1.3*np.arange(0,35),'k-')\n",
    "#ax[1].plot(np.arange(0,35),1.3*np.arange(0,35),'k-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f72843c0520>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,2,figsize=(15,6))\n",
    "p1=ax[0].plot(dJDF['AbsSal'], dJDF['Si']-1.3*dJDF['N'],'b.',label='SJDF')\n",
    "p2=ax[0].plot(dSJGI['AbsSal'],dSJGI['Si']-1.3*dSJGI['N'],'c.',label='SJGI')\n",
    "p3=ax[0].plot(dSOG['AbsSal'],dSOG['Si']-1.3*dSOG['N'],'y.',label='SOG')\n",
    "p4=ax[0].plot(dNSOG['AbsSal'],dNSOG['Si']-1.3*dNSOG['N'],'m.',label='NSOG')\n",
    "ax[0].set_title('Observed')\n",
    "ax[0].set_xlabel('S (g/kg)')\n",
    "ax[0].set_ylabel('dSi-1.3NO3')\n",
    "ax[0].set_xlim(10,35)\n",
    "ax[0].set_ylim(0,45)\n",
    "ax[0].legend()\n",
    "\n",
    "p5=ax[1].plot(dJDF['mod_vosaline'],dJDF['mod_silicon']-1.3*dJDF['mod_nitrate'],'b.',label='SJDF')\n",
    "p6=ax[1].plot(dSJGI['mod_vosaline'],dSJGI['mod_silicon']-1.3*dSJGI['mod_nitrate'],'c.',label='SJGI')\n",
    "p7=ax[1].plot(dSOG['mod_vosaline'],dSOG['mod_silicon']-1.3*dSOG['mod_nitrate'],'y.',label='SOG')\n",
    "p8=ax[1].plot(dNSOG['mod_vosaline'],dNSOG['mod_silicon']-1.3*dNSOG['mod_nitrate'],'m.',label='NSOG')\n",
    "ax[1].set_title('Model')\n",
    "ax[1].set_xlabel('S (g/kg)')\n",
    "ax[1].set_ylabel('dSi-1.3NO3')\n",
    "ax[1].set_xlim(10,35)\n",
    "ax[1].set_ylim(0,45)\n",
    "ax[1].legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Chlorophyll"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93ce\" ><thead>    <tr>        <th class=\"blank\" ></th>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" colspan=8></th>    </tr>    <tr>        <th class=\"blank\" ></th>        <th class=\"index_name level1\" >Variable</th>        <th class=\"col_heading level1 col0\" colspan=4>Chl</th>        <th class=\"col_heading level1 col4\" colspan=4>Chl log10</th>    </tr>    <tr>        <th class=\"blank\" ></th>        <th class=\"blank level2\" ></th>        <th class=\"col_heading level2 col0\" >Bias</th>        <th class=\"col_heading level2 col1\" >N</th>        <th class=\"col_heading level2 col2\" >RMSE</th>        <th class=\"col_heading level2 col3\" >WSS</th>        <th class=\"col_heading level2 col4\" >Bias</th>        <th class=\"col_heading level2 col5\" >N</th>        <th class=\"col_heading level2 col6\" >RMSE</th>        <th class=\"col_heading level2 col7\" >WSS</th>    </tr>    <tr>        <th class=\"index_name level0\" ></th>        <th class=\"index_name level1\" >Subset</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93celevel0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <th id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93celevel1_row0\" class=\"row_heading level1 row0\" >z < 15 m</th>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow0_col0\" class=\"data row0 col0\" >-1.09113</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow0_col1\" class=\"data row0 col1\" >164</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow0_col2\" class=\"data row0 col2\" >3.54545</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow0_col3\" class=\"data row0 col3\" >0.489677</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow0_col4\" class=\"data row0 col4\" >-0.189204</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow0_col5\" class=\"data row0 col5\" >164</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow0_col6\" class=\"data row0 col6\" >0.446323</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow0_col7\" class=\"data row0 col7\" >0.73195</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93celevel0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <th id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93celevel1_row1\" class=\"row_heading level1 row1\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow1_col0\" class=\"data row1 col0\" >-0.471902</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow1_col1\" class=\"data row1 col1\" >58</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow1_col2\" class=\"data row1 col2\" >1.07406</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow1_col3\" class=\"data row1 col3\" >0.670933</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow1_col4\" class=\"data row1 col4\" >-0.164835</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow1_col5\" class=\"data row1 col5\" >58</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow1_col6\" class=\"data row1 col6\" >0.363038</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow1_col7\" class=\"data row1 col7\" >0.628456</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93celevel0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <th id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93celevel1_row2\" class=\"row_heading level1 row2\" >z >= 22 m</th>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow2_col0\" class=\"data row2 col0\" >-0.0490161</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow2_col1\" class=\"data row2 col1\" >27</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow2_col2\" class=\"data row2 col2\" >0.489433</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow2_col3\" class=\"data row2 col3\" >0.324892</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow2_col4\" class=\"data row2 col4\" >0.0152399</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow2_col5\" class=\"data row2 col5\" >27</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow2_col6\" class=\"data row2 col6\" >0.393419</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow2_col7\" class=\"data row2 col7\" >0.469347</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93celevel0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <th id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93celevel1_row3\" class=\"row_heading level1 row3\" >z > 50 m</th>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow3_col0\" class=\"data row3 col0\" >0.0818484</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow3_col1\" class=\"data row3 col1\" >4</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow3_col2\" class=\"data row3 col2\" >0.0858041</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow3_col3\" class=\"data row3 col3\" >0.379112</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow3_col4\" class=\"data row3 col4\" >0.206992</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow3_col5\" class=\"data row3 col5\" >4</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow3_col6\" class=\"data row3 col6\" >0.212853</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow3_col7\" class=\"data row3 col7\" >0.41876</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93celevel0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <th id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93celevel1_row4\" class=\"row_heading level1 row4\" >all</th>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow4_col0\" class=\"data row4 col0\" >-0.833894</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow4_col1\" class=\"data row4 col1\" >249</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow4_col2\" class=\"data row4 col2\" >2.92812</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow4_col3\" class=\"data row4 col3\" >0.520093</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow4_col4\" class=\"data row4 col4\" >-0.16136</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow4_col5\" class=\"data row4 col5\" >249</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow4_col6\" class=\"data row4 col6\" >0.422712</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow4_col7\" class=\"data row4 col7\" >0.74179</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93celevel0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <th id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93celevel1_row5\" class=\"row_heading level1 row5\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow5_col0\" class=\"data row5 col0\" >-5.56901</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow5_col1\" class=\"data row5 col1\" >3</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow5_col2\" class=\"data row5 col2\" >5.77952</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow5_col3\" class=\"data row5 col3\" >0.295425</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow5_col4\" class=\"data row5 col4\" >-0.874356</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow5_col5\" class=\"data row5 col5\" >3</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow5_col6\" class=\"data row5 col6\" >0.890711</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow5_col7\" class=\"data row5 col7\" >0.160394</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93celevel0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <th id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93celevel1_row6\" class=\"row_heading level1 row6\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow6_col0\" class=\"data row6 col0\" >-2.6436</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow6_col1\" class=\"data row6 col1\" >47</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow6_col2\" class=\"data row6 col2\" >5.98685</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow6_col3\" class=\"data row6 col3\" >0.394372</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow6_col4\" class=\"data row6 col4\" >-0.234814</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow6_col5\" class=\"data row6 col5\" >47</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow6_col6\" class=\"data row6 col6\" >0.395813</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow6_col7\" class=\"data row6 col7\" >0.648459</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93celevel0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <th id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93celevel1_row7\" class=\"row_heading level1 row7\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow7_col0\" class=\"data row7 col0\" >0.0180185</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow7_col1\" class=\"data row7 col1\" >40</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow7_col2\" class=\"data row7 col2\" >2.17551</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow7_col3\" class=\"data row7 col3\" >0.622982</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow7_col4\" class=\"data row7 col4\" >0.00370198</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow7_col5\" class=\"data row7 col5\" >40</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow7_col6\" class=\"data row7 col6\" >0.275985</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow7_col7\" class=\"data row7 col7\" >0.582558</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93celevel0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <th id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93celevel1_row8\" class=\"row_heading level1 row8\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow8_col0\" class=\"data row8 col0\" >-0.523109</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow8_col1\" class=\"data row8 col1\" >74</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow8_col2\" class=\"data row8 col2\" >1.08681</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow8_col3\" class=\"data row8 col3\" >0.467974</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow8_col4\" class=\"data row8 col4\" >-0.236734</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow8_col5\" class=\"data row8 col5\" >74</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow8_col6\" class=\"data row8 col6\" >0.518303</td>\n",
       "                        <td id=\"T_44f5d144_72b0_11ea_a93b_10c37b4d93cerow8_col7\" class=\"data row8 col7\" >0.431156</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f728502deb0>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obsvar='l10_obsChl'\n",
    "modvar='l10_modChl'\n",
    "statsDict[year]['Chl log10']=OrderedDict()\n",
    "for isub in statsubs:\n",
    "    statsDict[year]['Chl log10'][isub]=dict()\n",
    "    var=statsDict[year]['Chl log10'][isub]\n",
    "    var['N'],mmean,omean,var['Bias'],var['RMSE'],var['WSS']=et.stats(statsubs[isub].loc[:,[obsvar]],\n",
    "                                                                     statsubs[isub].loc[:,[modvar]])\n",
    "obsvar='Chlorophyll_Extracted'\n",
    "modvar='mod_Chl'\n",
    "statsDict[year]['Chl']=OrderedDict()\n",
    "for isub in statsubs:\n",
    "    statsDict[year]['Chl'][isub]=dict()\n",
    "    var=statsDict[year]['Chl'][isub]\n",
    "    var['N'],mmean,omean,var['Bias'],var['RMSE'],var['WSS']=et.stats(statsubs[isub].loc[:,[obsvar]],\n",
    "                                                                     statsubs[isub].loc[:,[modvar]])\n",
    "\n",
    "tempD={'Chl log10':statsDict[year]['Chl log10'],'Chl':statsDict[year]['Chl']}\n",
    "tbl,tdf=et.displayStatsFlex(tempD,('Variable','Subset','Metric',''),\n",
    "                        ['Order','Subset','Metric'],\n",
    "                        ['Variable','Metric'],\n",
    "                        suborder=list(statsubs.keys()))\n",
    "tbl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,2,figsize = (14,6))\n",
    "ax[0].plot(np.arange(-.6,1.6,.1),np.arange(-.6,1.6,.1),'k-')\n",
    "ps=et.varvarPlot(ax[0],data,'l10_obsChl','l10_modChl','Z',(5,10,15,20,25),'z','m',('crimson','darkorange','lime','mediumseagreen','darkturquoise','navy'))\n",
    "ax[0].legend(handles=ps)\n",
    "ax[0].set_xlabel('Obs')\n",
    "ax[0].set_ylabel('Model')\n",
    "ax[0].set_title('log10[Chl ($\\mu$g/L)+0.01] By Depth')\n",
    "ax[1].plot(np.arange(0,35),np.arange(0,35),'k-')\n",
    "ps=et.varvarPlot(ax[1],data,'Chlorophyll_Extracted','mod_Chl','Z',(5,10,15,20,25),'z','m',('crimson','darkorange','lime','mediumseagreen','darkturquoise','navy'))\n",
    "ax[1].legend(handles=ps)\n",
    "ax[1].set_xlabel('Obs')\n",
    "ax[1].set_ylabel('Model')\n",
    "ax[1].set_title('Chl ($\\mu$g/L) By Depth');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,2,figsize = (14,6))\n",
    "obsvar='l10_obsChl'; modvar='l10_modChl'\n",
    "ps,l=byRegion(ax[0],obsvar,modvar,(-.6,1.6))\n",
    "ax[0].set_title('Log10 Chl ($\\mu$g/L) By Region');\n",
    "\n",
    "obsvar='Chlorophyll_Extracted'; modvar='mod_Chl'\n",
    "ps,l=byRegion(ax[1],obsvar,modvar,(0,30))\n",
    "ax[1].set_title('Chl ($\\mu$g/L) By Region');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conservative Temperature "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93ce\" ><thead>    <tr>        <th class=\"blank\" ></th>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" colspan=4></th>    </tr>    <tr>        <th class=\"blank\" ></th>        <th class=\"blank level1\" ></th>        <th class=\"col_heading level1 col0\" >Bias</th>        <th class=\"col_heading level1 col1\" >N</th>        <th class=\"col_heading level1 col2\" >RMSE</th>        <th class=\"col_heading level1 col3\" >WSS</th>    </tr>    <tr>        <th class=\"index_name level0\" ></th>        <th class=\"index_name level1\" >Subset</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93celevel0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <th id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93celevel1_row0\" class=\"row_heading level1 row0\" >z < 15 m</th>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow0_col0\" class=\"data row0 col0\" >-0.0926801</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow0_col1\" class=\"data row0 col1\" >236</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow0_col2\" class=\"data row0 col2\" >0.706706</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow0_col3\" class=\"data row0 col3\" >0.968923</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93celevel0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <th id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93celevel1_row1\" class=\"row_heading level1 row1\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow1_col0\" class=\"data row1 col0\" >-0.151182</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow1_col1\" class=\"data row1 col1\" >74</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow1_col2\" class=\"data row1 col2\" >0.477925</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow1_col3\" class=\"data row1 col3\" >0.927271</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93celevel0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <th id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93celevel1_row2\" class=\"row_heading level1 row2\" >z >= 22 m</th>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow2_col0\" class=\"data row2 col0\" >-0.146105</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow2_col1\" class=\"data row2 col1\" >793</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow2_col2\" class=\"data row2 col2\" >0.353202</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow2_col3\" class=\"data row2 col3\" >0.94665</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93celevel0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <th id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93celevel1_row3\" class=\"row_heading level1 row3\" >z > 50 m</th>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow3_col0\" class=\"data row3 col0\" >-0.122045</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow3_col1\" class=\"data row3 col1\" >619</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow3_col2\" class=\"data row3 col2\" >0.315127</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow3_col3\" class=\"data row3 col3\" >0.958586</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93celevel0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <th id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93celevel1_row4\" class=\"row_heading level1 row4\" >all</th>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow4_col0\" class=\"data row4 col0\" >-0.135015</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow4_col1\" class=\"data row4 col1\" >1103</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow4_col2\" class=\"data row4 col2\" >0.460298</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow4_col3\" class=\"data row4 col3\" >0.964884</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93celevel0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <th id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93celevel1_row5\" class=\"row_heading level1 row5\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow5_col0\" class=\"data row5 col0\" >-0.447043</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow5_col1\" class=\"data row5 col1\" >3</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow5_col2\" class=\"data row5 col2\" >0.675534</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow5_col3\" class=\"data row5 col3\" >0.0961237</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93celevel0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <th id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93celevel1_row6\" class=\"row_heading level1 row6\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow6_col0\" class=\"data row6 col0\" >-0.142572</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow6_col1\" class=\"data row6 col1\" >61</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow6_col2\" class=\"data row6 col2\" >0.196061</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow6_col3\" class=\"data row6 col3\" >0.619533</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93celevel0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <th id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93celevel1_row7\" class=\"row_heading level1 row7\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow7_col0\" class=\"data row7 col0\" >0.010624</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow7_col1\" class=\"data row7 col1\" >60</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow7_col2\" class=\"data row7 col2\" >1.11232</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow7_col3\" class=\"data row7 col3\" >0.936198</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93celevel0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <th id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93celevel1_row8\" class=\"row_heading level1 row8\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow8_col0\" class=\"data row8 col0\" >-0.111356</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow8_col1\" class=\"data row8 col1\" >112</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow8_col2\" class=\"data row8 col2\" >0.596994</td>\n",
       "                        <td id=\"T_4586cb04_72b0_11ea_a93b_10c37b4d93cerow8_col3\" class=\"data row8 col3\" >0.952276</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f7254cffe80>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obsvar='ConsT'\n",
    "modvar='mod_votemper'\n",
    "statsDict[year]['Temperature']=OrderedDict()\n",
    "for isub in statsubs:\n",
    "    statsDict[year]['Temperature'][isub]=dict()\n",
    "    var=statsDict[year]['Temperature'][isub]\n",
    "    var['N'],mmean,omean,var['Bias'],var['RMSE'],var['WSS']=et.stats(statsubs[isub].loc[:,[obsvar]],\n",
    "                                                                     statsubs[isub].loc[:,[modvar]])\n",
    "tbl,tdf=et.displayStats(statsDict[year]['Temperature'],level='Subset',suborder=list(statsubs.keys()))\n",
    "tbl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,2,figsize = (16,7))\n",
    "ps,l=byDepth(ax[0],obsvar,modvar,(5,20))\n",
    "ax[0].set_title('$\\Theta$ ($^{\\circ}$C) By Depth')\n",
    "\n",
    "ps,l=byRegion(ax[1],obsvar,modvar,(5,20))\n",
    "ax[1].set_title('$\\Theta$ ($^{\\circ}$C) By Region');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x237.6 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x21.6 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,4,figsize = (16,3.3))\n",
    "bySeason(ax,obsvar,modvar,mv)\n",
    "fig,ax=plt.subplots(1,1,figsize=(20,.3))\n",
    "ax.plot(data.dtUTC,np.ones(np.shape(data.dtUTC)),'k.')\n",
    "ax.set_xlim((dt.datetime(year,1,1),dt.datetime(year,12,31)))\n",
    "ax.set_title('Data Timing')\n",
    "ax.yaxis.set_visible(False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reference Salinity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93ce\" ><thead>    <tr>        <th class=\"blank\" ></th>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" colspan=4></th>    </tr>    <tr>        <th class=\"blank\" ></th>        <th class=\"blank level1\" ></th>        <th class=\"col_heading level1 col0\" >Bias</th>        <th class=\"col_heading level1 col1\" >N</th>        <th class=\"col_heading level1 col2\" >RMSE</th>        <th class=\"col_heading level1 col3\" >WSS</th>    </tr>    <tr>        <th class=\"index_name level0\" ></th>        <th class=\"index_name level1\" >Subset</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93celevel0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <th id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93celevel1_row0\" class=\"row_heading level1 row0\" >z < 15 m</th>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow0_col0\" class=\"data row0 col0\" >-0.154293</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow0_col1\" class=\"data row0 col1\" >236</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow0_col2\" class=\"data row0 col2\" >1.54972</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow0_col3\" class=\"data row0 col3\" >0.907624</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93celevel0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <th id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93celevel1_row1\" class=\"row_heading level1 row1\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow1_col0\" class=\"data row1 col0\" >0.0786495</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow1_col1\" class=\"data row1 col1\" >74</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow1_col2\" class=\"data row1 col2\" >0.362279</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow1_col3\" class=\"data row1 col3\" >0.973817</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93celevel0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <th id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93celevel1_row2\" class=\"row_heading level1 row2\" >z >= 22 m</th>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow2_col0\" class=\"data row2 col0\" >0.0998034</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow2_col1\" class=\"data row2 col1\" >793</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow2_col2\" class=\"data row2 col2\" >0.299041</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow2_col3\" class=\"data row2 col3\" >0.986938</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93celevel0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <th id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93celevel1_row3\" class=\"row_heading level1 row3\" >z > 50 m</th>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow3_col0\" class=\"data row3 col0\" >0.0944484</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow3_col1\" class=\"data row3 col1\" >619</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow3_col2\" class=\"data row3 col2\" >0.296436</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow3_col3\" class=\"data row3 col3\" >0.986564</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93celevel0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <th id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93celevel1_row4\" class=\"row_heading level1 row4\" >all</th>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow4_col0\" class=\"data row4 col0\" >0.0440172</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow4_col1\" class=\"data row4 col1\" >1103</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow4_col2\" class=\"data row4 col2\" >0.766132</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow4_col3\" class=\"data row4 col3\" >0.960376</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93celevel0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <th id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93celevel1_row5\" class=\"row_heading level1 row5\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow5_col0\" class=\"data row5 col0\" >-1.06164</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow5_col1\" class=\"data row5 col1\" >3</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow5_col2\" class=\"data row5 col2\" >1.74162</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow5_col3\" class=\"data row5 col3\" >0.106754</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93celevel0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <th id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93celevel1_row6\" class=\"row_heading level1 row6\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow6_col0\" class=\"data row6 col0\" >-0.0262992</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow6_col1\" class=\"data row6 col1\" >61</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow6_col2\" class=\"data row6 col2\" >0.735035</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow6_col3\" class=\"data row6 col3\" >0.939549</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93celevel0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <th id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93celevel1_row7\" class=\"row_heading level1 row7\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow7_col0\" class=\"data row7 col0\" >-0.00339569</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow7_col1\" class=\"data row7 col1\" >60</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow7_col2\" class=\"data row7 col2\" >2.34858</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow7_col3\" class=\"data row7 col3\" >0.903338</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93celevel0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <th id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93celevel1_row8\" class=\"row_heading level1 row8\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow8_col0\" class=\"data row8 col0\" >-0.280538</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow8_col1\" class=\"data row8 col1\" >112</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow8_col2\" class=\"data row8 col2\" >1.31537</td>\n",
       "                        <td id=\"T_4612e616_72b0_11ea_a93b_10c37b4d93cerow8_col3\" class=\"data row8 col3\" >0.887514</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f7284470df0>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obsvar='AbsSal'\n",
    "modvar='mod_vosaline'\n",
    "statsDict[year]['Salinity']=OrderedDict()\n",
    "for isub in statsubs:\n",
    "    statsDict[year]['Salinity'][isub]=dict()\n",
    "    var=statsDict[year]['Salinity'][isub]\n",
    "    var['N'],mmean,omean,var['Bias'],var['RMSE'],var['WSS']=et.stats(statsubs[isub].loc[:,[obsvar]],\n",
    "                                                                     statsubs[isub].loc[:,[modvar]])\n",
    "tbl,tdf=et.displayStats(statsDict[year]['Salinity'],level='Subset',suborder=list(statsubs.keys()))\n",
    "tbl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,2,figsize = (16,7))\n",
    "ps,l=byDepth(ax[0],obsvar,modvar,(0,36))\n",
    "ax[0].set_title('S$_A$ (g kg$^{-1}$) By Depth')\n",
    "\n",
    "ps,l=byRegion(ax[1],obsvar,modvar,(0,36))\n",
    "ax[1].set_title('S$_A$ (g kg$^{-1}$) By Region');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x237.6 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x21.6 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,4,figsize = (16,3.3))\n",
    "bySeason(ax,obsvar,modvar,(0,36))\n",
    "fig,ax=plt.subplots(1,1,figsize=(20,.3))\n",
    "ax.plot(data.dtUTC,np.ones(np.shape(data.dtUTC)),'k.')\n",
    "ax.set_xlim((dt.datetime(year,1,1),dt.datetime(year,12,31)))\n",
    "ax.set_title('Data Timing')\n",
    "ax.yaxis.set_visible(False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Density"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93ce\" ><thead>    <tr>        <th class=\"blank\" ></th>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" colspan=4></th>    </tr>    <tr>        <th class=\"blank\" ></th>        <th class=\"blank level1\" ></th>        <th class=\"col_heading level1 col0\" >Bias</th>        <th class=\"col_heading level1 col1\" >N</th>        <th class=\"col_heading level1 col2\" >RMSE</th>        <th class=\"col_heading level1 col3\" >WSS</th>    </tr>    <tr>        <th class=\"index_name level0\" ></th>        <th class=\"index_name level1\" >Subset</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93celevel0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <th id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93celevel1_row0\" class=\"row_heading level1 row0\" >z < 15 m</th>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow0_col0\" class=\"data row0 col0\" >-0.107181</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow0_col1\" class=\"data row0 col1\" >236</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow0_col2\" class=\"data row0 col2\" >1.23291</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow0_col3\" class=\"data row0 col3\" >0.919497</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93celevel0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <th id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93celevel1_row1\" class=\"row_heading level1 row1\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow1_col0\" class=\"data row1 col0\" >0.0831493</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow1_col1\" class=\"data row1 col1\" >74</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow1_col2\" class=\"data row1 col2\" >0.325284</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow1_col3\" class=\"data row1 col3\" >0.967282</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93celevel0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <th id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93celevel1_row2\" class=\"row_heading level1 row2\" >z >= 22 m</th>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow2_col0\" class=\"data row2 col0\" >0.0993469</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow2_col1\" class=\"data row2 col1\" >793</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow2_col2\" class=\"data row2 col2\" >0.257235</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow2_col3\" class=\"data row2 col3\" >0.989164</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93celevel0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <th id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93celevel1_row3\" class=\"row_heading level1 row3\" >z > 50 m</th>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow3_col0\" class=\"data row3 col0\" >0.0916767</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow3_col1\" class=\"data row3 col1\" >619</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow3_col2\" class=\"data row3 col2\" >0.249632</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow3_col3\" class=\"data row3 col3\" >0.988553</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93celevel0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <th id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93celevel1_row4\" class=\"row_heading level1 row4\" >all</th>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow4_col0\" class=\"data row4 col0\" >0.054071</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow4_col1\" class=\"data row4 col1\" >1103</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow4_col2\" class=\"data row4 col2\" >0.616368</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow4_col3\" class=\"data row4 col3\" >0.971349</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93celevel0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <th id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93celevel1_row5\" class=\"row_heading level1 row5\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow5_col0\" class=\"data row5 col0\" >-0.774649</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow5_col1\" class=\"data row5 col1\" >3</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow5_col2\" class=\"data row5 col2\" >1.2803</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow5_col3\" class=\"data row5 col3\" >0.10581</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93celevel0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <th id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93celevel1_row6\" class=\"row_heading level1 row6\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow6_col0\" class=\"data row6 col0\" >-0.00113046</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow6_col1\" class=\"data row6 col1\" >61</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow6_col2\" class=\"data row6 col2\" >0.575546</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow6_col3\" class=\"data row6 col3\" >0.938949</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93celevel0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <th id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93celevel1_row7\" class=\"row_heading level1 row7\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow7_col0\" class=\"data row7 col0\" >-8.30478e-05</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow7_col1\" class=\"data row7 col1\" >60</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow7_col2\" class=\"data row7 col2\" >1.89455</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow7_col3\" class=\"data row7 col3\" >0.915124</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93celevel0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <th id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93celevel1_row8\" class=\"row_heading level1 row8\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow8_col0\" class=\"data row8 col0\" >-0.204436</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow8_col1\" class=\"data row8 col1\" >112</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow8_col2\" class=\"data row8 col2\" >1.02754</td>\n",
       "                        <td id=\"T_4691a08c_72b0_11ea_a93b_10c37b4d93cerow8_col3\" class=\"data row8 col3\" >0.892563</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f72549f2ac0>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obsvar='rho'\n",
    "modvar='mod_rho'\n",
    "statsDict[year]['Density']=OrderedDict()\n",
    "for isub in statsubs:\n",
    "    statsDict[year]['Density'][isub]=dict()\n",
    "    var=statsDict[year]['Density'][isub]\n",
    "    var['N'],mmean,omean,var['Bias'],var['RMSE'],var['WSS']=et.stats(statsubs[isub].loc[:,[obsvar]],\n",
    "                                                                     statsubs[isub].loc[:,[modvar]])\n",
    "tbl,tdf=et.displayStats(statsDict[year]['Density'],level='Subset',suborder=list(statsubs.keys()))\n",
    "tbl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,2,figsize = (16,7))\n",
    "ps,l=byDepth(ax[0],obsvar,modvar,(1010,1030))\n",
    "ax[0].set_title('Density (kg m$^{-3}$) By Depth')\n",
    "\n",
    "ps,l=byRegion(ax[1],obsvar,modvar,(1010,1030))\n",
    "ax[1].set_title('Density (kg m$^{-3}$) By Region');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x237.6 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1440x21.6 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,4,figsize = (16,3.3))\n",
    "bySeason(ax,obsvar,modvar,(1010,1030))\n",
    "fig,ax=plt.subplots(1,1,figsize=(20,.3))\n",
    "ax.plot(data.dtUTC,np.ones(np.shape(data.dtUTC)),'k.')\n",
    "ax.set_xlim((dt.datetime(year,1,1),dt.datetime(year,12,31)))\n",
    "ax.set_title('Data Timing')\n",
    "ax.yaxis.set_visible(False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Temperature-Salinity by Region"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "def tsplot(ax,svar,tvar):\n",
    "    limsS=(0,36)\n",
    "    limsT=(5,20)\n",
    "    ss,tt=np.meshgrid(np.linspace(limsS[0],limsS[1],20),np.linspace(limsT[0],limsT[1],20))\n",
    "    rho=gsw.rho(ss,tt,np.zeros(np.shape(ss)))\n",
    "    r=ax.contour(ss,tt,rho,colors='k')\n",
    "    ps1=ax.plot(dJDF[svar],dJDF[tvar],'b.',label='SJDF')\n",
    "    ps2=ax.plot(dSJGI[svar],dSJGI[tvar],'c.',label='SJGI')\n",
    "    ps3=ax.plot(dSOG[svar],dSOG[tvar],'y.',label='SOG')\n",
    "    ps4=ax.plot(dNSOG[svar],dNSOG[tvar],'m.',label='NSOG')\n",
    "    l=ax.legend(handles=[ps1[0],ps2[0],ps3[0],ps4[0]],bbox_to_anchor=(1.55,1))\n",
    "    ax.set_ylim(limsT)\n",
    "    ax.set_xlim(limsS)\n",
    "    ax.set_ylabel('$\\Theta$ ($^{\\circ}$C)')\n",
    "    ax.set_xlabel('S$_A$ (g kg$^{-1}$)')\n",
    "    ax.set_aspect((limsS[1]-limsS[0])/(limsT[1]-limsT[0]))\n",
    "    return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Modelled')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,2,figsize=(16,4))\n",
    "tsplot(ax[0],'AbsSal','ConsT')\n",
    "ax[0].set_title('Observed')\n",
    "tsplot(ax[1],'mod_vosaline','mod_votemper')\n",
    "ax[1].set_title('Modelled')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "# save stats dict to json file:\n",
    "with open('vET-HC1905-DFO-NutChlPhys-stats.json', 'w') as fstat:\n",
    "    json.dump(statsDict, fstat, indent=4);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Display All Stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93ce\" ><thead>    <tr>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" colspan=4></th>    </tr>    <tr>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank level1\" ></th>        <th class=\"col_heading level1 col0\" >Bias</th>        <th class=\"col_heading level1 col1\" >N</th>        <th class=\"col_heading level1 col2\" >RMSE</th>        <th class=\"col_heading level1 col3\" >WSS</th>    </tr>    <tr>        <th class=\"index_name level0\" >Variable</th>        <th class=\"index_name level1\" ></th>        <th class=\"index_name level2\" >Subset</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel0_row0\" class=\"row_heading level0 row0\" rowspan=9>Chl</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row0\" class=\"row_heading level2 row0\" >z < 15 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow0_col0\" class=\"data row0 col0\" >-1.09113</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow0_col1\" class=\"data row0 col1\" >164</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow0_col2\" class=\"data row0 col2\" >3.54545</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow0_col3\" class=\"data row0 col3\" >0.489677</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row1\" class=\"row_heading level2 row1\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow1_col0\" class=\"data row1 col0\" >-0.471902</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow1_col1\" class=\"data row1 col1\" >58</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow1_col2\" class=\"data row1 col2\" >1.07406</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow1_col3\" class=\"data row1 col3\" >0.670933</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row2\" class=\"row_heading level2 row2\" >z >= 22 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow2_col0\" class=\"data row2 col0\" >-0.0490161</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow2_col1\" class=\"data row2 col1\" >27</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow2_col2\" class=\"data row2 col2\" >0.489433</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow2_col3\" class=\"data row2 col3\" >0.324892</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row3\" class=\"row_heading level2 row3\" >z > 50 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow3_col0\" class=\"data row3 col0\" >0.0818484</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow3_col1\" class=\"data row3 col1\" >4</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow3_col2\" class=\"data row3 col2\" >0.0858041</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow3_col3\" class=\"data row3 col3\" >0.379112</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row4\" class=\"row_heading level1 row4\" >4</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row4\" class=\"row_heading level2 row4\" >all</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow4_col0\" class=\"data row4 col0\" >-0.833894</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow4_col1\" class=\"data row4 col1\" >249</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow4_col2\" class=\"data row4 col2\" >2.92812</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow4_col3\" class=\"data row4 col3\" >0.520093</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row5\" class=\"row_heading level1 row5\" >5</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row5\" class=\"row_heading level2 row5\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow5_col0\" class=\"data row5 col0\" >-5.56901</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow5_col1\" class=\"data row5 col1\" >3</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow5_col2\" class=\"data row5 col2\" >5.77952</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow5_col3\" class=\"data row5 col3\" >0.295425</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row6\" class=\"row_heading level1 row6\" >6</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row6\" class=\"row_heading level2 row6\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow6_col0\" class=\"data row6 col0\" >-2.6436</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow6_col1\" class=\"data row6 col1\" >47</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow6_col2\" class=\"data row6 col2\" >5.98685</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow6_col3\" class=\"data row6 col3\" >0.394372</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row7\" class=\"row_heading level1 row7\" >7</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row7\" class=\"row_heading level2 row7\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow7_col0\" class=\"data row7 col0\" >0.0180185</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow7_col1\" class=\"data row7 col1\" >40</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow7_col2\" class=\"data row7 col2\" >2.17551</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow7_col3\" class=\"data row7 col3\" >0.622982</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row8\" class=\"row_heading level1 row8\" >8</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row8\" class=\"row_heading level2 row8\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow8_col0\" class=\"data row8 col0\" >-0.523109</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow8_col1\" class=\"data row8 col1\" >74</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow8_col2\" class=\"data row8 col2\" >1.08681</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow8_col3\" class=\"data row8 col3\" >0.467974</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel0_row9\" class=\"row_heading level0 row9\" rowspan=9>Chl log10</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row9\" class=\"row_heading level1 row9\" >0</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row9\" class=\"row_heading level2 row9\" >z < 15 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow9_col0\" class=\"data row9 col0\" >-0.189204</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow9_col1\" class=\"data row9 col1\" >164</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow9_col2\" class=\"data row9 col2\" >0.446323</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow9_col3\" class=\"data row9 col3\" >0.73195</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row10\" class=\"row_heading level1 row10\" >1</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row10\" class=\"row_heading level2 row10\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow10_col0\" class=\"data row10 col0\" >-0.164835</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow10_col1\" class=\"data row10 col1\" >58</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow10_col2\" class=\"data row10 col2\" >0.363038</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow10_col3\" class=\"data row10 col3\" >0.628456</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row11\" class=\"row_heading level1 row11\" >2</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row11\" class=\"row_heading level2 row11\" >z >= 22 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow11_col0\" class=\"data row11 col0\" >0.0152399</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow11_col1\" class=\"data row11 col1\" >27</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow11_col2\" class=\"data row11 col2\" >0.393419</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow11_col3\" class=\"data row11 col3\" >0.469347</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row12\" class=\"row_heading level1 row12\" >3</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row12\" class=\"row_heading level2 row12\" >z > 50 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow12_col0\" class=\"data row12 col0\" >0.206992</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow12_col1\" class=\"data row12 col1\" >4</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow12_col2\" class=\"data row12 col2\" >0.212853</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow12_col3\" class=\"data row12 col3\" >0.41876</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row13\" class=\"row_heading level1 row13\" >4</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row13\" class=\"row_heading level2 row13\" >all</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow13_col0\" class=\"data row13 col0\" >-0.16136</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow13_col1\" class=\"data row13 col1\" >249</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow13_col2\" class=\"data row13 col2\" >0.422712</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow13_col3\" class=\"data row13 col3\" >0.74179</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row14\" class=\"row_heading level1 row14\" >5</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row14\" class=\"row_heading level2 row14\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow14_col0\" class=\"data row14 col0\" >-0.874356</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow14_col1\" class=\"data row14 col1\" >3</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow14_col2\" class=\"data row14 col2\" >0.890711</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow14_col3\" class=\"data row14 col3\" >0.160394</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row15\" class=\"row_heading level1 row15\" >6</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row15\" class=\"row_heading level2 row15\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow15_col0\" class=\"data row15 col0\" >-0.234814</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow15_col1\" class=\"data row15 col1\" >47</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow15_col2\" class=\"data row15 col2\" >0.395813</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow15_col3\" class=\"data row15 col3\" >0.648459</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row16\" class=\"row_heading level1 row16\" >7</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row16\" class=\"row_heading level2 row16\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow16_col0\" class=\"data row16 col0\" >0.00370198</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow16_col1\" class=\"data row16 col1\" >40</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow16_col2\" class=\"data row16 col2\" >0.275985</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow16_col3\" class=\"data row16 col3\" >0.582558</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row17\" class=\"row_heading level1 row17\" >8</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row17\" class=\"row_heading level2 row17\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow17_col0\" class=\"data row17 col0\" >-0.236734</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow17_col1\" class=\"data row17 col1\" >74</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow17_col2\" class=\"data row17 col2\" >0.518303</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow17_col3\" class=\"data row17 col3\" >0.431156</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel0_row18\" class=\"row_heading level0 row18\" rowspan=9>Density</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row18\" class=\"row_heading level1 row18\" >0</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row18\" class=\"row_heading level2 row18\" >z < 15 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow18_col0\" class=\"data row18 col0\" >-0.107181</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow18_col1\" class=\"data row18 col1\" >236</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow18_col2\" class=\"data row18 col2\" >1.23291</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow18_col3\" class=\"data row18 col3\" >0.919497</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row19\" class=\"row_heading level1 row19\" >1</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row19\" class=\"row_heading level2 row19\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow19_col0\" class=\"data row19 col0\" >0.0831493</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow19_col1\" class=\"data row19 col1\" >74</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow19_col2\" class=\"data row19 col2\" >0.325284</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow19_col3\" class=\"data row19 col3\" >0.967282</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row20\" class=\"row_heading level1 row20\" >2</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row20\" class=\"row_heading level2 row20\" >z >= 22 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow20_col0\" class=\"data row20 col0\" >0.0993469</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow20_col1\" class=\"data row20 col1\" >793</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow20_col2\" class=\"data row20 col2\" >0.257235</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow20_col3\" class=\"data row20 col3\" >0.989164</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row21\" class=\"row_heading level1 row21\" >3</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row21\" class=\"row_heading level2 row21\" >z > 50 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow21_col0\" class=\"data row21 col0\" >0.0916767</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow21_col1\" class=\"data row21 col1\" >619</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow21_col2\" class=\"data row21 col2\" >0.249632</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow21_col3\" class=\"data row21 col3\" >0.988553</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row22\" class=\"row_heading level1 row22\" >4</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row22\" class=\"row_heading level2 row22\" >all</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow22_col0\" class=\"data row22 col0\" >0.054071</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow22_col1\" class=\"data row22 col1\" >1103</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow22_col2\" class=\"data row22 col2\" >0.616368</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow22_col3\" class=\"data row22 col3\" >0.971349</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row23\" class=\"row_heading level1 row23\" >5</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row23\" class=\"row_heading level2 row23\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow23_col0\" class=\"data row23 col0\" >-0.774649</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow23_col1\" class=\"data row23 col1\" >3</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow23_col2\" class=\"data row23 col2\" >1.2803</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow23_col3\" class=\"data row23 col3\" >0.10581</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row24\" class=\"row_heading level1 row24\" >6</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row24\" class=\"row_heading level2 row24\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow24_col0\" class=\"data row24 col0\" >-0.00113046</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow24_col1\" class=\"data row24 col1\" >61</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow24_col2\" class=\"data row24 col2\" >0.575546</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow24_col3\" class=\"data row24 col3\" >0.938949</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row25\" class=\"row_heading level1 row25\" >7</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row25\" class=\"row_heading level2 row25\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow25_col0\" class=\"data row25 col0\" >-8.30478e-05</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow25_col1\" class=\"data row25 col1\" >60</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow25_col2\" class=\"data row25 col2\" >1.89455</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow25_col3\" class=\"data row25 col3\" >0.915124</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row26\" class=\"row_heading level1 row26\" >8</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row26\" class=\"row_heading level2 row26\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow26_col0\" class=\"data row26 col0\" >-0.204436</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow26_col1\" class=\"data row26 col1\" >112</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow26_col2\" class=\"data row26 col2\" >1.02754</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow26_col3\" class=\"data row26 col3\" >0.892563</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel0_row27\" class=\"row_heading level0 row27\" rowspan=9>NO3</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row27\" class=\"row_heading level1 row27\" >0</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row27\" class=\"row_heading level2 row27\" >z < 15 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow27_col0\" class=\"data row27 col0\" >-0.845001</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow27_col1\" class=\"data row27 col1\" >230</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow27_col2\" class=\"data row27 col2\" >4.8863</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow27_col3\" class=\"data row27 col3\" >0.887092</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row28\" class=\"row_heading level1 row28\" >1</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row28\" class=\"row_heading level2 row28\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow28_col0\" class=\"data row28 col0\" >-0.287201</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow28_col1\" class=\"data row28 col1\" >72</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow28_col2\" class=\"data row28 col2\" >3.71001</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow28_col3\" class=\"data row28 col3\" >0.558504</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row29\" class=\"row_heading level1 row29\" >2</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row29\" class=\"row_heading level2 row29\" >z >= 22 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow29_col0\" class=\"data row29 col0\" >-0.682046</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow29_col1\" class=\"data row29 col1\" >758</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow29_col2\" class=\"data row29 col2\" >2.95439</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow29_col3\" class=\"data row29 col3\" >0.744281</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row30\" class=\"row_heading level1 row30\" >3</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row30\" class=\"row_heading level2 row30\" >z > 50 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow30_col0\" class=\"data row30 col0\" >-0.689607</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow30_col1\" class=\"data row30 col1\" >589</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow30_col2\" class=\"data row30 col2\" >2.7814</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow30_col3\" class=\"data row30 col3\" >0.711584</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row31\" class=\"row_heading level1 row31\" >4</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row31\" class=\"row_heading level2 row31\" >all</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow31_col0\" class=\"data row31 col0\" >-0.690585</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow31_col1\" class=\"data row31 col1\" >1060</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow31_col2\" class=\"data row31 col2\" >3.51528</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow31_col3\" class=\"data row31 col3\" >0.894704</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row32\" class=\"row_heading level1 row32\" >5</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row32\" class=\"row_heading level2 row32\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow32_col0\" class=\"data row32 col0\" >-0.119254</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow32_col1\" class=\"data row32 col1\" >3</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow32_col2\" class=\"data row32 col2\" >2.54268</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow32_col3\" class=\"data row32 col3\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row33\" class=\"row_heading level1 row33\" >6</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row33\" class=\"row_heading level2 row33\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow33_col0\" class=\"data row33 col0\" >2.68279</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow33_col1\" class=\"data row33 col1\" >60</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow33_col2\" class=\"data row33 col2\" >5.13338</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow33_col3\" class=\"data row33 col3\" >0.530026</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row34\" class=\"row_heading level1 row34\" >7</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row34\" class=\"row_heading level2 row34\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow34_col0\" class=\"data row34 col0\" >-2.1997</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow34_col1\" class=\"data row34 col1\" >59</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow34_col2\" class=\"data row34 col2\" >5.3411</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow34_col3\" class=\"data row34 col3\" >0.873868</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row35\" class=\"row_heading level1 row35\" >8</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row35\" class=\"row_heading level2 row35\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow35_col0\" class=\"data row35 col0\" >-2.08498</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow35_col1\" class=\"data row35 col1\" >108</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow35_col2\" class=\"data row35 col2\" >4.5214</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow35_col3\" class=\"data row35 col3\" >0.789183</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel0_row36\" class=\"row_heading level0 row36\" rowspan=9>Salinity</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row36\" class=\"row_heading level2 row36\" >z < 15 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow36_col0\" class=\"data row36 col0\" >-0.154293</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow36_col1\" class=\"data row36 col1\" >236</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow36_col2\" class=\"data row36 col2\" >1.54972</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow36_col3\" class=\"data row36 col3\" >0.907624</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row37\" class=\"row_heading level2 row37\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow37_col0\" class=\"data row37 col0\" >0.0786495</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow37_col1\" class=\"data row37 col1\" >74</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow37_col2\" class=\"data row37 col2\" >0.362279</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow37_col3\" class=\"data row37 col3\" >0.973817</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row38\" class=\"row_heading level2 row38\" >z >= 22 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow38_col0\" class=\"data row38 col0\" >0.0998034</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow38_col1\" class=\"data row38 col1\" >793</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow38_col2\" class=\"data row38 col2\" >0.299041</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow38_col3\" class=\"data row38 col3\" >0.986938</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row39\" class=\"row_heading level2 row39\" >z > 50 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow39_col0\" class=\"data row39 col0\" >0.0944484</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow39_col1\" class=\"data row39 col1\" >619</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow39_col2\" class=\"data row39 col2\" >0.296436</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow39_col3\" class=\"data row39 col3\" >0.986564</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row40\" class=\"row_heading level1 row40\" >4</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row40\" class=\"row_heading level2 row40\" >all</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow40_col0\" class=\"data row40 col0\" >0.0440172</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow40_col1\" class=\"data row40 col1\" >1103</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow40_col2\" class=\"data row40 col2\" >0.766132</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow40_col3\" class=\"data row40 col3\" >0.960376</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row41\" class=\"row_heading level1 row41\" >5</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row41\" class=\"row_heading level2 row41\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow41_col0\" class=\"data row41 col0\" >-1.06164</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow41_col1\" class=\"data row41 col1\" >3</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow41_col2\" class=\"data row41 col2\" >1.74162</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow41_col3\" class=\"data row41 col3\" >0.106754</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row42\" class=\"row_heading level1 row42\" >6</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row42\" class=\"row_heading level2 row42\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow42_col0\" class=\"data row42 col0\" >-0.0262992</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow42_col1\" class=\"data row42 col1\" >61</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow42_col2\" class=\"data row42 col2\" >0.735035</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow42_col3\" class=\"data row42 col3\" >0.939549</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row43\" class=\"row_heading level1 row43\" >7</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row43\" class=\"row_heading level2 row43\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow43_col0\" class=\"data row43 col0\" >-0.00339569</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow43_col1\" class=\"data row43 col1\" >60</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow43_col2\" class=\"data row43 col2\" >2.34858</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow43_col3\" class=\"data row43 col3\" >0.903338</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row44\" class=\"row_heading level1 row44\" >8</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row44\" class=\"row_heading level2 row44\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow44_col0\" class=\"data row44 col0\" >-0.280538</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow44_col1\" class=\"data row44 col1\" >112</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow44_col2\" class=\"data row44 col2\" >1.31537</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow44_col3\" class=\"data row44 col3\" >0.887514</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel0_row45\" class=\"row_heading level0 row45\" rowspan=9>Temperature</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row45\" class=\"row_heading level1 row45\" >0</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row45\" class=\"row_heading level2 row45\" >z < 15 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow45_col0\" class=\"data row45 col0\" >-0.0926801</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow45_col1\" class=\"data row45 col1\" >236</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow45_col2\" class=\"data row45 col2\" >0.706706</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow45_col3\" class=\"data row45 col3\" >0.968923</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row46\" class=\"row_heading level1 row46\" >1</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row46\" class=\"row_heading level2 row46\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow46_col0\" class=\"data row46 col0\" >-0.151182</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow46_col1\" class=\"data row46 col1\" >74</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow46_col2\" class=\"data row46 col2\" >0.477925</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow46_col3\" class=\"data row46 col3\" >0.927271</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row47\" class=\"row_heading level1 row47\" >2</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row47\" class=\"row_heading level2 row47\" >z >= 22 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow47_col0\" class=\"data row47 col0\" >-0.146105</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow47_col1\" class=\"data row47 col1\" >793</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow47_col2\" class=\"data row47 col2\" >0.353202</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow47_col3\" class=\"data row47 col3\" >0.94665</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row48\" class=\"row_heading level1 row48\" >3</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row48\" class=\"row_heading level2 row48\" >z > 50 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow48_col0\" class=\"data row48 col0\" >-0.122045</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow48_col1\" class=\"data row48 col1\" >619</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow48_col2\" class=\"data row48 col2\" >0.315127</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow48_col3\" class=\"data row48 col3\" >0.958586</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row49\" class=\"row_heading level1 row49\" >4</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row49\" class=\"row_heading level2 row49\" >all</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow49_col0\" class=\"data row49 col0\" >-0.135015</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow49_col1\" class=\"data row49 col1\" >1103</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow49_col2\" class=\"data row49 col2\" >0.460298</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow49_col3\" class=\"data row49 col3\" >0.964884</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row50\" class=\"row_heading level1 row50\" >5</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row50\" class=\"row_heading level2 row50\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow50_col0\" class=\"data row50 col0\" >-0.447043</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow50_col1\" class=\"data row50 col1\" >3</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow50_col2\" class=\"data row50 col2\" >0.675534</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow50_col3\" class=\"data row50 col3\" >0.0961237</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row51\" class=\"row_heading level1 row51\" >6</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row51\" class=\"row_heading level2 row51\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow51_col0\" class=\"data row51 col0\" >-0.142572</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow51_col1\" class=\"data row51 col1\" >61</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow51_col2\" class=\"data row51 col2\" >0.196061</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow51_col3\" class=\"data row51 col3\" >0.619533</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row52\" class=\"row_heading level1 row52\" >7</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row52\" class=\"row_heading level2 row52\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow52_col0\" class=\"data row52 col0\" >0.010624</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow52_col1\" class=\"data row52 col1\" >60</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow52_col2\" class=\"data row52 col2\" >1.11232</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow52_col3\" class=\"data row52 col3\" >0.936198</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row53\" class=\"row_heading level1 row53\" >8</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row53\" class=\"row_heading level2 row53\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow53_col0\" class=\"data row53 col0\" >-0.111356</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow53_col1\" class=\"data row53 col1\" >112</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow53_col2\" class=\"data row53 col2\" >0.596994</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow53_col3\" class=\"data row53 col3\" >0.952276</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel0_row54\" class=\"row_heading level0 row54\" rowspan=9>dSi</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row54\" class=\"row_heading level1 row54\" >0</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row54\" class=\"row_heading level2 row54\" >z < 15 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow54_col0\" class=\"data row54 col0\" >-7.60506</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow54_col1\" class=\"data row54 col1\" >230</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow54_col2\" class=\"data row54 col2\" >14.4057</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow54_col3\" class=\"data row54 col3\" >0.693065</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row55\" class=\"row_heading level1 row55\" >1</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row55\" class=\"row_heading level2 row55\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow55_col0\" class=\"data row55 col0\" >-5.77137</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow55_col1\" class=\"data row55 col1\" >72</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow55_col2\" class=\"data row55 col2\" >10.4514</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow55_col3\" class=\"data row55 col3\" >0.483425</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row56\" class=\"row_heading level1 row56\" >2</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row56\" class=\"row_heading level2 row56\" >z >= 22 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow56_col0\" class=\"data row56 col0\" >-5.54415</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow56_col1\" class=\"data row56 col1\" >758</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow56_col2\" class=\"data row56 col2\" >8.32201</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow56_col3\" class=\"data row56 col3\" >0.725874</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row57\" class=\"row_heading level1 row57\" >3</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row57\" class=\"row_heading level2 row57\" >z > 50 m</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow57_col0\" class=\"data row57 col0\" >-5.48</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow57_col1\" class=\"data row57 col1\" >589</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow57_col2\" class=\"data row57 col2\" >8.0562</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow57_col3\" class=\"data row57 col3\" >0.731126</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row58\" class=\"row_heading level1 row58\" >4</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row58\" class=\"row_heading level2 row58\" >all</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow58_col0\" class=\"data row58 col0\" >-6.00676</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow58_col1\" class=\"data row58 col1\" >1060</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow58_col2\" class=\"data row58 col2\" >10.0982</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow58_col3\" class=\"data row58 col3\" >0.765622</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row59\" class=\"row_heading level1 row59\" >5</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row59\" class=\"row_heading level2 row59\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow59_col0\" class=\"data row59 col0\" >-1.26711</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow59_col1\" class=\"data row59 col1\" >3</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow59_col2\" class=\"data row59 col2\" >2.17827</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow59_col3\" class=\"data row59 col3\" >0.374251</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row60\" class=\"row_heading level1 row60\" >6</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row60\" class=\"row_heading level2 row60\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow60_col0\" class=\"data row60 col0\" >5.89464</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow60_col1\" class=\"data row60 col1\" >60</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow60_col2\" class=\"data row60 col2\" >11.7713</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow60_col3\" class=\"data row60 col3\" >0.277451</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row61\" class=\"row_heading level1 row61\" >7</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row61\" class=\"row_heading level2 row61\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow61_col0\" class=\"data row61 col0\" >-14.5246</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow61_col1\" class=\"data row61 col1\" >59</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow61_col2\" class=\"data row61 col2\" >17.9863</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow61_col3\" class=\"data row61 col3\" >0.621507</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel1_row62\" class=\"row_heading level1 row62\" >8</th>\n",
       "                        <th id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93celevel2_row62\" class=\"row_heading level2 row62\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow62_col0\" class=\"data row62 col0\" >-11.5008</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow62_col1\" class=\"data row62 col1\" >108</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow62_col2\" class=\"data row62 col2\" >13.7153</td>\n",
       "                        <td id=\"T_4765b3cc_72b0_11ea_a93b_10c37b4d93cerow62_col3\" class=\"data row62 col3\" >0.514492</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f72549a4640>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tbl,tdf=et.displayStats(statsDict[year],level='Variable',suborder=list(statsubs.keys()))\n",
    "tbl"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python (py39)",
   "language": "python",
   "name": "py39"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}