{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "papermill": {
     "duration": 2.392935,
     "end_time": "2020-04-01T01:10:44.350497",
     "exception": false,
     "start_time": "2020-04-01T01:10:41.957562",
     "status": "completed"
    },
    "tags": []
   },
   "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": "code",
   "execution_count": 2,
   "metadata": {
    "papermill": {
     "duration": 0.02198,
     "end_time": "2020-04-01T01:10:44.389797",
     "exception": false,
     "start_time": "2020-04-01T01:10:44.367817",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "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>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "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": {
    "papermill": {
     "duration": 0.019534,
     "end_time": "2020-04-01T01:10:44.425479",
     "exception": false,
     "start_time": "2020-04-01T01:10:44.405945",
     "status": "completed"
    },
    "tags": [
     "parameters"
    ]
   },
   "outputs": [],
   "source": [
    "PATH= '/results2/SalishSea/nowcast-green.201905/'\n",
    "year=2007"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "papermill": {
     "duration": 0.019414,
     "end_time": "2020-04-01T01:10:44.461169",
     "exception": false,
     "start_time": "2020-04-01T01:10:44.441755",
     "status": "completed"
    },
    "tags": [
     "injected-parameters"
    ]
   },
   "outputs": [],
   "source": [
    "# Parameters\n",
    "year = 2009\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "papermill": {
     "duration": 0.021432,
     "end_time": "2020-04-01T01:10:44.498927",
     "exception": false,
     "start_time": "2020-04-01T01:10:44.477495",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "# Year: 2009"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(Markdown('''# Year: '''+ str(year)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.016138,
     "end_time": "2020-04-01T01:10:44.532126",
     "exception": false,
     "start_time": "2020-04-01T01:10:44.515988",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Yearly model-data comparisons of nutrients, chlorophyll, temperature and salinity between 201905 runs and DFO observations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.016229,
     "end_time": "2020-04-01T01:10:44.564385",
     "exception": false,
     "start_time": "2020-04-01T01:10:44.548156",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "#### Define date range and load observations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "papermill": {
     "duration": 0.78381,
     "end_time": "2020-04-01T01:10:45.364515",
     "exception": false,
     "start_time": "2020-04-01T01:10:44.580705",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1122 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>2009.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>51.678333</td>\n",
       "      <td>-127.331667</td>\n",
       "      <td>5.3</td>\n",
       "      <td>None</td>\n",
       "      <td>19.3</td>\n",
       "      <td>30.7</td>\n",
       "      <td>1.01</td>\n",
       "      <td>9.232036</td>\n",
       "      <td>30.451543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>51.675000</td>\n",
       "      <td>-127.283667</td>\n",
       "      <td>5.5</td>\n",
       "      <td>None</td>\n",
       "      <td>19.8</td>\n",
       "      <td>31.8</td>\n",
       "      <td>0.79</td>\n",
       "      <td>9.186134</td>\n",
       "      <td>30.750086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>48.499333</td>\n",
       "      <td>-124.733500</td>\n",
       "      <td>1.5</td>\n",
       "      <td>None</td>\n",
       "      <td>0.7</td>\n",
       "      <td>24.3</td>\n",
       "      <td>15.17</td>\n",
       "      <td>14.772244</td>\n",
       "      <td>32.085822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>48.499333</td>\n",
       "      <td>-124.733500</td>\n",
       "      <td>5.4</td>\n",
       "      <td>None</td>\n",
       "      <td>0.8</td>\n",
       "      <td>23.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.764574</td>\n",
       "      <td>32.088876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>48.499333</td>\n",
       "      <td>-124.733500</td>\n",
       "      <td>10.9</td>\n",
       "      <td>None</td>\n",
       "      <td>2.6</td>\n",
       "      <td>24.3</td>\n",
       "      <td>3.59</td>\n",
       "      <td>14.159156</td>\n",
       "      <td>32.282807</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year  Month   Day        Lat         Lon  Pressure Depth     N    Si  \\\n",
       "0  2009.0    9.0  12.0  51.678333 -127.331667       5.3  None  19.3  30.7   \n",
       "1  2009.0    9.0  12.0  51.675000 -127.283667       5.5  None  19.8  31.8   \n",
       "2  2009.0    9.0  17.0  48.499333 -124.733500       1.5  None   0.7  24.3   \n",
       "3  2009.0    9.0  17.0  48.499333 -124.733500       5.4  None   0.8  23.8   \n",
       "4  2009.0    9.0  17.0  48.499333 -124.733500      10.9  None   2.6  24.3   \n",
       "\n",
       "   Chlorophyll_Extracted      ConsT     AbsSal  \n",
       "0                   1.01   9.232036  30.451543  \n",
       "1                   0.79   9.186134  30.750086  \n",
       "2                  15.17  14.772244  32.085822  \n",
       "3                    NaN  14.764574  32.088876  \n",
       "4                   3.59  14.159156  32.282807  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "start_date = dt.datetime(year,1,1)\n",
    "end_date = dt.datetime(year,12,31)\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": 7,
   "metadata": {
    "papermill": {
     "duration": 164.022249,
     "end_time": "2020-04-01T01:13:29.404320",
     "exception": false,
     "start_time": "2020-04-01T01:10:45.382071",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "data=et.matchData(df1,filemap,fdict,start_date,end_date,'nowcast',PATH,1,quiet=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "papermill": {
     "duration": 0.03474,
     "end_time": "2020-04-01T01:13:29.460917",
     "exception": false,
     "start_time": "2020-04-01T01:13:29.426177",
     "status": "completed"
    },
    "tags": []
   },
   "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": 9,
   "metadata": {
    "papermill": {
     "duration": 0.057793,
     "end_time": "2020-04-01T01:13:29.535256",
     "exception": false,
     "start_time": "2020-04-01T01:13:29.477463",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Parameter values from 01jan09 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 =  0.92\n",
      "   zz_alpha_b_d =  0.0\n"
     ]
    }
   ],
   "source": [
    "# load chl to N ratio from namelist\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'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "papermill": {
     "duration": 0.024141,
     "end_time": "2020-04-01T01:13:29.576425",
     "exception": false,
     "start_time": "2020-04-01T01:13:29.552284",
     "status": "completed"
    },
    "tags": []
   },
   "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": 11,
   "metadata": {
    "papermill": {
     "duration": 0.039734,
     "end_time": "2020-04-01T01:13:29.633020",
     "exception": false,
     "start_time": "2020-04-01T01:13:29.593286",
     "status": "completed"
    },
    "tags": []
   },
   "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": 12,
   "metadata": {
    "papermill": {
     "duration": 0.053467,
     "end_time": "2020-04-01T01:13:29.703983",
     "exception": false,
     "start_time": "2020-04-01T01:13:29.650516",
     "status": "completed"
    },
    "tags": []
   },
   "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": 13,
   "metadata": {
    "papermill": {
     "duration": 0.02921,
     "end_time": "2020-04-01T01:13:29.750590",
     "exception": false,
     "start_time": "2020-04-01T01:13:29.721380",
     "status": "completed"
    },
    "tags": []
   },
   "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": 14,
   "metadata": {
    "papermill": {
     "duration": 0.859396,
     "end_time": "2020-04-01T01:13:30.627206",
     "exception": false,
     "start_time": "2020-04-01T01:13:29.767810",
     "status": "completed"
    },
    "tags": []
   },
   "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": 15,
   "metadata": {
    "papermill": {
     "duration": 0.030116,
     "end_time": "2020-04-01T01:13:30.679822",
     "exception": false,
     "start_time": "2020-04-01T01:13:30.649706",
     "status": "completed"
    },
    "tags": []
   },
   "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": {
    "papermill": {
     "duration": 0.020421,
     "end_time": "2020-04-01T01:13:30.721252",
     "exception": false,
     "start_time": "2020-04-01T01:13:30.700831",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Nitrate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "papermill": {
     "duration": 0.518778,
     "end_time": "2020-04-01T01:13:31.260263",
     "exception": false,
     "start_time": "2020-04-01T01:13:30.741485",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_002ea0ca_73b6_11ea_8cbc_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_002ea0ca_73b6_11ea_8cbc_10c37b4d93celevel0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <th id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93celevel1_row0\" class=\"row_heading level1 row0\" >z < 15 m</th>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow0_col0\" class=\"data row0 col0\" >1.12796</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow0_col1\" class=\"data row0 col1\" >241</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow0_col2\" class=\"data row0 col2\" >6.32333</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow0_col3\" class=\"data row0 col3\" >0.858144</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93celevel0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <th id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93celevel1_row1\" class=\"row_heading level1 row1\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow1_col0\" class=\"data row1 col0\" >0.748741</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow1_col1\" class=\"data row1 col1\" >80</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow1_col2\" class=\"data row1 col2\" >3.55367</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow1_col3\" class=\"data row1 col3\" >0.747282</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93celevel0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <th id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93celevel1_row2\" class=\"row_heading level1 row2\" >z >= 22 m</th>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow2_col0\" class=\"data row2 col0\" >0.0975869</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow2_col1\" class=\"data row2 col1\" >776</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow2_col2\" class=\"data row2 col2\" >2.39782</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow2_col3\" class=\"data row2 col3\" >0.841754</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93celevel0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <th id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93celevel1_row3\" class=\"row_heading level1 row3\" >z > 50 m</th>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow3_col0\" class=\"data row3 col0\" >-0.108215</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow3_col1\" class=\"data row3 col1\" >588</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow3_col2\" class=\"data row3 col2\" >2.13845</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow3_col3\" class=\"data row3 col3\" >0.847405</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93celevel0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <th id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93celevel1_row4\" class=\"row_heading level1 row4\" >all</th>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow4_col0\" class=\"data row4 col0\" >0.371437</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow4_col1\" class=\"data row4 col1\" >1097</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow4_col2\" class=\"data row4 col2\" >3.7111</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow4_col3\" class=\"data row4 col3\" >0.915259</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93celevel0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <th id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93celevel1_row5\" class=\"row_heading level1 row5\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow5_col0\" class=\"data row5 col0\" >nan</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow5_col1\" class=\"data row5 col1\" >0</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow5_col2\" class=\"data row5 col2\" >nan</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow5_col3\" class=\"data row5 col3\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93celevel0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <th id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93celevel1_row6\" class=\"row_heading level1 row6\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow6_col0\" class=\"data row6 col0\" >3.95674</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow6_col1\" class=\"data row6 col1\" >60</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow6_col2\" class=\"data row6 col2\" >9.14013</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow6_col3\" class=\"data row6 col3\" >0.516977</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93celevel0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <th id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93celevel1_row7\" class=\"row_heading level1 row7\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow7_col0\" class=\"data row7 col0\" >-0.803055</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow7_col1\" class=\"data row7 col1\" >62</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow7_col2\" class=\"data row7 col2\" >3.72539</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow7_col3\" class=\"data row7 col3\" >0.933943</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93celevel0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <th id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93celevel1_row8\" class=\"row_heading level1 row8\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow8_col0\" class=\"data row8 col0\" >0.707765</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow8_col1\" class=\"data row8 col1\" >119</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow8_col2\" class=\"data row8 col2\" >5.62354</td>\n",
       "                        <td id=\"T_002ea0ca_73b6_11ea_8cbc_10c37b4d93cerow8_col3\" class=\"data row8 col3\" >0.854868</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f2b48159880>"
      ]
     },
     "execution_count": 16,
     "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": 17,
   "metadata": {
    "papermill": {
     "duration": 0.545305,
     "end_time": "2020-04-01T01:13:31.826013",
     "exception": false,
     "start_time": "2020-04-01T01:13:31.280708",
     "status": "completed"
    },
    "tags": []
   },
   "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": 18,
   "metadata": {
    "papermill": {
     "duration": 0.684435,
     "end_time": "2020-04-01T01:13:32.533557",
     "exception": false,
     "start_time": "2020-04-01T01:13:31.849122",
     "status": "completed"
    },
    "tags": []
   },
   "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": 19,
   "metadata": {
    "papermill": {
     "duration": 0.41978,
     "end_time": "2020-04-01T01:13:32.978746",
     "exception": false,
     "start_time": "2020-04-01T01:13:32.558966",
     "status": "completed"
    },
    "tags": []
   },
   "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": {
    "papermill": {
     "duration": 0.024646,
     "end_time": "2020-04-01T01:13:33.029821",
     "exception": false,
     "start_time": "2020-04-01T01:13:33.005175",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Dissolved Silica"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "papermill": {
     "duration": 0.052683,
     "end_time": "2020-04-01T01:13:33.106630",
     "exception": false,
     "start_time": "2020-04-01T01:13:33.053947",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_0148b0fe_73b6_11ea_8cbc_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_0148b0fe_73b6_11ea_8cbc_10c37b4d93celevel0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <th id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93celevel1_row0\" class=\"row_heading level1 row0\" >z < 15 m</th>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow0_col0\" class=\"data row0 col0\" >-4.44601</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow0_col1\" class=\"data row0 col1\" >241</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow0_col2\" class=\"data row0 col2\" >11.8623</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow0_col3\" class=\"data row0 col3\" >0.816693</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93celevel0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <th id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93celevel1_row1\" class=\"row_heading level1 row1\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow1_col0\" class=\"data row1 col0\" >-3.79019</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow1_col1\" class=\"data row1 col1\" >80</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow1_col2\" class=\"data row1 col2\" >7.39976</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow1_col3\" class=\"data row1 col3\" >0.764308</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93celevel0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <th id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93celevel1_row2\" class=\"row_heading level1 row2\" >z >= 22 m</th>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow2_col0\" class=\"data row2 col0\" >-3.6108</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow2_col1\" class=\"data row2 col1\" >778</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow2_col2\" class=\"data row2 col2\" >6.59373</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow2_col3\" class=\"data row2 col3\" >0.799729</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93celevel0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <th id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93celevel1_row3\" class=\"row_heading level1 row3\" >z > 50 m</th>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow3_col0\" class=\"data row3 col0\" >-3.60678</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow3_col1\" class=\"data row3 col1\" >590</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow3_col2\" class=\"data row3 col2\" >6.77256</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow3_col3\" class=\"data row3 col3\" >0.784428</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93celevel0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <th id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93celevel1_row4\" class=\"row_heading level1 row4\" >all</th>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow4_col0\" class=\"data row4 col0\" >-3.80701</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow4_col1\" class=\"data row4 col1\" >1099</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow4_col2\" class=\"data row4 col2\" >8.10069</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow4_col3\" class=\"data row4 col3\" >0.865874</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93celevel0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <th id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93celevel1_row5\" class=\"row_heading level1 row5\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow5_col0\" class=\"data row5 col0\" >nan</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow5_col1\" class=\"data row5 col1\" >0</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow5_col2\" class=\"data row5 col2\" >nan</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow5_col3\" class=\"data row5 col3\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93celevel0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <th id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93celevel1_row6\" class=\"row_heading level1 row6\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow6_col0\" class=\"data row6 col0\" >4.03938</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow6_col1\" class=\"data row6 col1\" >60</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow6_col2\" class=\"data row6 col2\" >13.331</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow6_col3\" class=\"data row6 col3\" >0.394536</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93celevel0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <th id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93celevel1_row7\" class=\"row_heading level1 row7\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow7_col0\" class=\"data row7 col0\" >-6.35367</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow7_col1\" class=\"data row7 col1\" >62</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow7_col2\" class=\"data row7 col2\" >9.52994</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow7_col3\" class=\"data row7 col3\" >0.830581</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93celevel0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <th id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93celevel1_row8\" class=\"row_heading level1 row8\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow8_col0\" class=\"data row8 col0\" >-7.73046</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow8_col1\" class=\"data row8 col1\" >119</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow8_col2\" class=\"data row8 col2\" >12.1676</td>\n",
       "                        <td id=\"T_0148b0fe_73b6_11ea_8cbc_10c37b4d93cerow8_col3\" class=\"data row8 col3\" >0.684511</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f2b27949070>"
      ]
     },
     "execution_count": 20,
     "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": 21,
   "metadata": {
    "papermill": {
     "duration": 0.409173,
     "end_time": "2020-04-01T01:13:33.541030",
     "exception": false,
     "start_time": "2020-04-01T01:13:33.131857",
     "status": "completed"
    },
    "tags": []
   },
   "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": 22,
   "metadata": {
    "papermill": {
     "duration": 0.5035,
     "end_time": "2020-04-01T01:13:34.071492",
     "exception": false,
     "start_time": "2020-04-01T01:13:33.567992",
     "status": "completed"
    },
    "tags": []
   },
   "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": 23,
   "metadata": {
    "papermill": {
     "duration": 0.453825,
     "end_time": "2020-04-01T01:13:34.553877",
     "exception": false,
     "start_time": "2020-04-01T01:13:34.100052",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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sUUr1LWZ3hwvhnCdeKdVeax1R2eUQ1SczwUhmghFTrvwZfNXQ5seJomIks8WVlBlnrPUr5onLkMwGLKxUK6WmASMwB3MEEA9cCMZwwBtor5SKBBZqrZ+tgrJeWqY+eeUoKBHok1dGUcNprUlPS8PF1bXE4/p944f+Egy2xcwtbdQoAzIVUi0kv5zLTzJbVFRWVhYADg4OFp9z5+6SV8a9wJSri81zYd0ks0uZUk8p1VYpdQRoAozUWhu01h201v201qPyXv3ythmA0UBTpdRhpVSvKi67Jxd/SVwQBwQXd7BSapJSaqtSamtsbGwVF01Y4vkHnqKFW2P2795X4nFKqWIDOHHjO3zpt5sVQ0/wVeAxVo0p3yqJB3Ye4N/1xS+fK6qJrM5VLpLZorJc16Q9XYPCLTp2/cr1nIg8gTKoUqe1i/w5mS88DnBkSTJgblyZH36SHzqfKnJs5tHFpKy7HZ2bXvYPIK4syWyg9HmqvwT6aq1Ha623l3YxrXWE1noU0B94uzIKWALvYrZdGtj5tNaz8n6RdPD19a3CYglL/Prrr2zc8Q/1GtTHzd2tXNfI3P8R9o6x2LspjNmUu3vIPf0nMK7XWNJS08p1vqgaWlv2EoVIZosymzlzJi+++CK6wA9U0xbNCA5pWuq5UQejuHfwZB69dapF97JzMmDnasDW+WLl25gDppyiP8xZ+z8jK3I+xuRIi64tqpdkdindP7TWHcpz0bzR3OU6twwufYwIRQfFiBpqxowZbNj0F9u2baNBoGWPDM/+k8E/L8XR6xM/PJvZ4ztqLXeMyMLWqxFa63J3AXni7SeIORWDi6tLuc4XlU8jg17KQzJblMdLL71ETEwMTz/9NM7OzgD8tHaZRec2Cm7EPU9NpHPPToW2G7NM/DY2moAeTrS53+vi8f1cmRgTkv9eKcUdOwsPbLzArdePGJMPY+vduqwfSVxhktlmNX72jxIkUjSQ6wDyJ60V+O6779izZw/t2rWz+JyT69I5szGDmG2ZeDazB1t3VN5PcUX6VN90583lPldUoVreonEVksyuodauXUtycnJ+hbosbG1teXza40W2Z8SZOPq/NNLO5BaqVBfnsvltcEQ5+Je5TKKaSGaXXqlWSr1l6cW01s9UrDiW01qvUUpNv2SzJ/DTlSqDKL+AgAACAgJKPe6/NTs59N9ZGgT50+3x1jQe4IJvW/PAmXOzQ9E5adR/PA2lSuvJJKyKLCRQbpLZoqxCQ0PLdPyabyNwcnOg67BW5GTnsHbhJjr1a4uX78U5qF39bRmzPRAnn/Iv8hK34EZyTv1N3ftPYuNefGu2qCEkswHLWqqfAhIwT8FUUnOgBq5YQOeJUkoFFVg8IEimZqo90lIyeKTvyyhs8bRvwfWjw/Br55i/3ylkODo3o9QK9bo5h0k6l8HNT4ZVuEyxMedY8M0P3HbPHXj71Cn9BFFuEtDlJpktqkxujpF3xi3C2d1cqf5zyT+8escH3HL/jTz2yaRCx3o1t6/QvRyb38zvq9pTf2EivSc0YNO6vzh57CSj7xpToeuKqiGZbVml+m1gOOAFLAR+qoq5TS9HKdUe85RLHYBnlFKrtdaz8nZPBEYppS6szjX5SpVLVD1nV0emTB9LakIOHXqZu4nkpGs2vgkthkP9G2dadJ1vH99CSlwWAx8Kxd7x4re81pp1P21l9tTV3P/JULoNv6bUa/309XymP/s69g72TJx6X/k+mCidtHpUhGS2qDK2dja8smIsji52AHTq15ZRjwxmyD1FpyXPStH8/RZccxv4tS57Fz3bax5kwQ+f4/X7DnpPuIap4x/kzIlT9B3SH2+fOnx83zJ2rT/KR/9NwcnV8qn/RBWQzAYsqFRrrZ8CnlJKtcM8/dJapZTG/MhuptZ6Z1UWMK8VIwKYUcy+RGBWkZNErZCTAaMevBk7p4thfGIjbJoB8Udg+I/Fn3d79zHEnDnHrwd/xdbWlhdWDyAzJadQhRrgz6X/8PJtn+JMI2KOJfLz27tpOyCAwNbFTVJgdts9d2DvYM+IcbdWymcUJZD+eeUimS0qm8mkyUwEZ29zFnce3CJ/n7u3Gw+/P6HY846tg83vwJLPfiWpzfd89+e8Mt138acrOc+fDH/YfP2P5n3OmROn8p8Snj4Ux5kjcexcfZrUuBxumNBc1iyoTpLZpU6pl09rvV1r/bTW2hvom3fuOqVUnFLqLaVU2yorpbjqaK15rXEabzYrPD9pkxtg6NfQt4TJv3JycsjJys5/H9SuDqE96hU5Lrh1IPWaO9N8eBZNwxrz3ZP/8cNz20osVx1fHyY9OgUv75IH3oiKk+mZKkYyW1SWFU9k84JvGie2XFzdY+vmf3n2wcdJS0297HlNb4SBM40ccPiC3NzcMt83rGtLQjs3p9sw8+wfnbtfy7DbL65q/8bvd7E46UXmTv2PLyb+TfL5zDLfQ1QeyewyVKoLypvb9N68sB4FjARKro0IUUYN2tsQ0K7wt6jBRtH6DoV7w8u3Rvy0eQFhN7Tkpu4DSgzyhs38OWe/kwWLZ+MRlMvEz65l7DudLnt8dTsedZQNa9ZVdzGuDFlIoFJJZouK8Gup8G6scK5zMXc/f/djvv5kFhH/br3seTZ2inZ32bI6ehnzN/5Q5vuGdW3J7H+m06RVI0b3u5lxNxV+QmhjY8DR2Z6H5/fkkR964uHrVOZ7lMW56Bh+X7Gq0HzeIo9kNlDOSrVSqrFS6nGl1GHgd8yP+kZVaslEjfHrzyvp2iKcg/sOXLF7KqWY/KsT96woe0gqpdizfSe7t+8kJyenxGO/XvI9P/62lMbBjel/X0v8m3uUeHx1unv4HYzqexPHo45Wd1GqnAZMJsteonSS2dZn+YKldGvZgajDR6q7KFx7jz3PRbrgE3yxyvDWJ+/y9ZLv6dqrR6nnK6Uq3C1jx9YIdm0rfmhAi+vq0u3WoApd3xJP3TeVsUNHs3nD31V+L2sjmW1m8TzVSqnGwAjgVqA9sAZ4Wmu9uEpKJmqMPTt2EXnwMKeOnyAktEXpJ1Sigou6ZESfxtbJBTuP0teLWLVlPbk5OTg5lVwpD2rWlKBmpa8aVhFpSVk4udljKGX53tI89uLTbPl7MwGNLFssx+rV8vCtapLZ1m3ntu0cOXCIM6fOVHlGlYdfvboMHDYk//3lFuDKiD6NrbMrdu7lb7BQShFxcn+195ee/OgD+NWrS5vw4ntOpSVm4exhX+3lrDaS2aW3VOe1bvyHeYL+jsCbgJfWup+E89Xh0ReeYvupA9xwY78ret+o/6XymfsRolakkpOcxB9dmvH38N4Wnevo6IirW/mWP69Mx/fEc6fnHL6YvKHC1xo4bAgvv/MmtrbWvGaThSzsmydPYYuSzK4dnnvrZXacPkg3C1qCq1vBrC4oOymBP7o0Y9PIPhW+h4uLS7kWp6lMXbpfx/TP38fF1bXIvgObornTaw7znt1SDSWrASSzActaqmdgnvN0MeY5T0cDo4v7S0xrPbpSSydqBIPBQP2AqlnVymg0YmNT/OIAygAGG/O/Ns4u+PUegFtIqwrdT5s0qoItxmXh4mmPXxM3AlrKasxlZc3hm9dK3B7ztHEXJjSPwzx3dFQVT3EnmV0LGAwG6vnXr9YylJTPBRXM6oJsnV3x7dkPj9A2VVK+C32ba0LLsFsdR3waueLfrOZ2IaxqktmWVapnIxOliCqw6KuFPH/P83z521d069etyP4mA125L7FZ/vtOXy8BYM/Xycx8bBEtH1NMef4ui+8Xs0vzZSfo/pymxwtXJoR9GrjyRZQsVFAuVpg6SqlpmLtcBGHutxyPeXlugHDAG2ivlIoEFmqtn62CYkhmiwr7d/2/jOs1lhc+fZHbp9xe4rGXZvUFBjs7Os9Zlv9++U1nST6ey6A/3Phi1ueMGTOGwMDAcpVPmzQfNwMHd5i8vVyXqFQBIZ7MOl7y16nWs8LUqezMtmSeapmcX1QJJ2cnnF2c+X3u35DlQLchHS06LyfFxNeJj5H+QiJj70rFxf8Bi1oqDLZg5wy2jqUeKmoAa1pIIG96ukWYZ9QYqbUu8dd83gIpT+cNHJykta60aV0ks0VlsHewx8XNhZTYDN59YBaTXr8dN0+XCl0zM95ERqyRZcuW8eyzz3Lu3Dnef/99AEwZEZjSN2PjfS9KWbC0uQJ7V7CvWJFEJZLMLsNAxQIXdtdaJxd43wRzk3nklVy1S1i/QbcNpk2ncEY3ncLxvdEWV6rbPezJz6GLiDs4Edv4h9B1+qIcCw+g3PJmHJFLUxn2WwMcvc0B7RuqeDK+0j9GpYo8cIQ1y1Yz7uG7cHS6emv/2vpW5/oS6Ku1tmhqlrwFUkYppYKABZhXH6wSktmiPNpd245tyRG8cdfH/DJnLZ36taX70IpNOTryT3+0hvSMESSnJjFixIj8fTlnHkSnb8LgfB3KybyCbnpMLstuPEXLcR60e7jw2gBKKe61cBmjY4eP8tviVdz54HicXaq3X3ZtJZltVp4p9dbmLR7wk1LqHvO99GLMTedCFOtAxBHaOXTixpCBmArMqdMguD7vrnqB1xc+Uex5xixNdqr5+MyYWCK//J7ctHT69L0B/6MrWDJ+Bzk5RR87xu7IIn5fNtkp1vVT/ulrH/POM9PZ9IdM2WRNg1601h0sDedLzovSWldZhTqPZLbIt2TOEno2vJ6oA5Es+eIXbqw7hqP7Tlz2+CkzxvLagse5blB4me6jtSYjzsjplWuI3fQfAMqgMNgoErfa4PHZzahjF1evtfP/FFv/z1COF/tfZyWaSDiYQ+yOii3qMnPaZ7zzzAw2/Ppnha4jSiaZXY6Waq11h7yWjj5AP2CGUsoD89KzS8p6PWH9Nv6+kTcffoP3fnyfFm2Kn3IvLSmNrOx0zhw/hclkwmAw/z1nNBoJat0IvwCfQsfnpGQTtyOWP6ZCUmQuk840ZOsDDxP3zz8YnBxpcvtw4vZ7EX8gE2MGcMlEHwO+r09Oiim/ldpaPPLaY7S/LpyufYv2Mb/q1JDwtXaS2bVXdnY2E/reTWh4KM+8Z1n3/BNHjhN9KprEuETizsaTcC6JtJTCK9dqrYk5GUvdhr54+XrQe2RXi8tkzDZyavVBDk57npO7BlDH7TPsvb0YuOvi0/LkE7mknjSScvLi4lwGp7YYnApPVecVYs+EE0HYe5ZrSY18D7z4MKHtrqHXoF4Vuo4ohWR2uVdUPKq1nq21HpW3Qlc/zAEtrkIHdh7g8IHDbNl8+amEwnu14ZvfvqVH16FEH4/N3/7RY18ytME4dvy1p9Dx217azO9Dl+Og9uJmu4r43TEkbluLjSEBZ39fAIb8XJ/G125kZddXyUrJ5MCBA/mjwW3sFMoRTu42T/EUsfowtzeYxu4NZfvD9Ltn/mVCwHfEn00r03nl1SioEXfcPxYHB4crcr+azJpaPYqjlHLPm97uLaXU5wVfV7osktm1U2Z6Jlv/2sq6X9eTkJBg0TkPv/YI/yVupX3XcNKTsrjtkVu4pnMLzpw5Q2KieXzWslm/cnPgXfw6r2xd/fd9GsGC4Fn8c9cbZJ9YRx2PTwh68CXCP3it0HFuwa7UHRBIg95Fp6Z7pcVrjHF7nmM7Ekg+l41jHRsMNsXOXGNxuQICG3DnA+NwcHTkx5e3cnf9bzl/8vLLq4vykcwuZ6X6UlrrPwCvUg8UtdKExydAU8W4+8blh3Jxdm08QMTavez951D+ttBOzWkS2gi/Bhdbqrf+sYtN8fsJGBRIsxEeYMzm4OydpKbcjGuL6/FqGwqYK84Je2IwJp7j07e/oGXLlsybNy//Ol9POshzbf7j8OYkYk8mEXc6mc97JbB4rNHiz5Z4Np3E6Axys6yrG4nVy+ufZ8mrBlsEPAsEY56iqeCrWklm1w7unu4s37eC1ftX07NnT4vOUUrh5uGG1pqlX/zKii/XkJKSQoMGDejSpQsAjVs2JCC4PptXRnB030mLy5MenUZuWg7Zue2xrd+Xbgtm06CbA/ZOhSuwu+dpDv9PcaaYdpizZ9KIT4UX2+/g5S7bir1P5J9GXrDL5odbcovdX5LE6HQSYzLIzrT894CwgGQ2UL6Bir9jXlRgNbCmwACYIGBtWSaRmiAAACAASURBVK8nrJ9SijFjxrBr1y5ci5kU/4Jxz43k2hvbE9q5OQDxMYn0HtGNXsO78/qI+bTtFUS/YY35/IlvOLD9GDfv+RD/Bg1J1e3x8oni7B/N0DFLOLf8SxqMexqAQX9NJeO8kV++XUvzeq0JCwvLv1/4MB8Sz2ZRt6kTza7tgI9LCL/e6Urk/yz/U/mBb3py78we2DlYVzeSWqEGt2hYqAPQuOAgweogmV27NQ5uzJAhQ+jUqWyDCJVSzN//CUopnJ2dGTRoEC1btiQlMY3m7YKZ/OpYXrn9fbz8POk9rBffvriGx+eOpH6QN6nRmt3zoO3d4OStSNh1AJeG/oS/2o1mY69hw92/EPLIazj412PXSG+UjS3XbcrKv/cN0xUtR0LjvN4Yhxencvy3dHp97MtH0a+QkZLF91NP4hdc/Iq4BhtwNNhx7Leyf70mf96dCR92lUyvCpLZZa9UA5Mxz+l3L7Aob+6+RMxz+31Z3oII6/bKK6+Ueoy9gx3XXGvuc33qyFlGN5tCt6EdeeKz+9nyvwMkRqeg3n+W6+1cGLvkJZqENmTH17D+RVvCBmaRk5KJataVvR+twr3TLbg1awR7J+AVPADT4m48lLGMsNZN8u/XabgfnYb75b8PH+1Gg5YaW0fL56hWSkn4VpMa3qJhiTWYW4OrtVKNZHatZmdnx/Lly8t1rn+Tuvn/X7FiBbm5Rvp73I57HTcWHPkMrTWd+7djyTub2LvxOFE7z1I/yJuI2fDXa2DjACF9o1g34B78enSk24/v49HMiyF/medrXnf7ChJOj8HJO5J90z4g9OlHAHBwVzQpsDjuzk+TiP4ni/DHPbHP+AHT0dXc9+3XKNviu8E16WbD5O3avLRRGUmmVx3J7PINVDwKvJ33QinVDvMAmNFKKSPmybNnaq0lrK8SWmvW/rKaVu1aW7wCmHsdN5q3a0JYt5b4BHjw1aFHcfdx4fc+OWQdc6JDt84opQgdqclKhuAbgjmxqAd2BmeOfjmbrLjz5B79ksy988mN3c+ojaMx5VLqaol1w6p/5a1XprxMYnwS7/3wXo1YCawmqul97yz0FLBGKbUGc0txPq31O1eqEJLZtVtmZiZrV66m54DeOLtUbNJmGxsD7Xpeg7u3K3b2dvS//XoA7ny1D9ffGkZQG3O+t58ESSdh9WNg/3ld/G+8noAhPYtcr/VjnYgKgLPznyLl8JH87VprjIl7sHEPQdnY0+7mL4kPiMQjcCZx878g58y/uF3/GrZel5+gxrdV5WTns3c/g9FoZPrcGZVyvauVZLZZhftUa623a63fzpuexAZ4mnL9/Sis1fZ/tzF+8BiemPAIkfsj6dGgB4u+WlTiOe5ernwT8R63PzEMgIBmPrh5OeHY6WHS3SYBJo4t3YfOSqfLVIVvmAvhr3an9UuPMHDvP7jV3QMJb5OVDDF/RGKTvJo6ofYl3jM3x8Sz4euZ4vcnWekl96fbsPwf3nngc3Kyc8r0tbDEmmVrWLN0NUaj9OkribUPegGmYe6b1xHzwMALr77VWSjJ7Nrlxy/nMXnEXXz90exC2zMzMhkaNoTn7nnO4msppXhn5fO8+N0jhbbb2dsS3NY/vxHAta6i9RiwdwNHb2fCXn8ak2qANl38gdyxYS8mPxs6zRjCwAP/0WnWh/n7cs6sIvmXMNJ3mLvx6dO/4ZA8j+zoSM5vPIP2m1yoQr3y7ePc7bie4ztSCn/G9EymTf6Yf1eb1+3Izsxl86KjZKRanturl65m9ZLVFh8vLk8yu3zdP0qUNwDmj8q+rqi5WoaFcud9dzF45FCSEpI4dzqGU0fNg1vORceglCI7zcTmXyIYOrEv9g52Ra6Rk53Lif3nGPhZfZRSnFwZyd/3/EzDm1qzZ3kHQu9woucHHuZHdx7uKGMnjK7tWbwhlX5+h8iJP1NqOTctOMqhiCicnTxLPfbbtxay558DuHm6MerhIXj5epT9C3MZy3evIDcnF1vbSv/xq11qdvhaYiQQpLU+Vt0FKYlktnXrM6Q/e3bsZtCIIYW252TncPTgUVzdL45zyczM5PTxkwSHNCMrI4vls1fT/ebO1GvkW+I9ks6nkZGaRb3GF+eVbtxT8USc+f8bxq/m5IqD3LDkNupd35hTR86yom8WDk5neTLRBzvXwi3oNh6h2Phch139/gAEvbYWU2YqxrREcs6fxJh66RR/xZcrau8Jls36lTPHYujctx3rvjnM7CmbufW19ox4vm2R409HRbPl9x0MmdAHWztz/v526PcyzSQiSmD9X8YKZ3aJv9WVUp9rre8rz4Urcq6wLk7Ozrz52dv571dF/kq9+vXQWtMzqDtuuim9+vfgr5//BUMuI6YMRWvN3eGP4eTqxGcb3mDOc6tY9M6fvLRsPNfddA11uzWi+cRw6vVsyZ7lOcDFASsZh/5H4vK7OXS8JzZZwZzv35iwfhNLLWdYH39uuKc5Ax8KxcG5cJ86k0mTkZyLi6e5wj965LM4xa/m2zd+wqAMTHxtTOV8sQCvOjLpgiVqwe+5NUDclbyhZPbVp0FgQ9758sMi29083Fi6dxmBgYH5256+53HWf7+XGQtexBZ7Pnj4K1bMXcVX/3yAnZ05+6KPn+PuDo9zy/0DueflWwF45NqPOHMkjqXJr+PsVnSl19AHOuPi74ZPB3+MGZnUbeSDm1cyTi7Frwpr49oYj/5/k5Vu5PObfqa5xzSuuT6LuhMiCJ2fRNK6D0nbtxqXUHMD4eAnAxn8ZGCR67Ts0IwPfn2VpmHmsTThgxsSuS2OTjcHkpmai6Nr4SrOjLu+ZeuGzXh6+dJrtHkxG29f7yLXFeUjmV1694+jSqnDSqkJll5QKTUxb230yFIPFlYjPS2dZd8tISU5pci++Pj4/K4MZ86cISg4iIEDB6KUIrzFEHwzexL9e1s0TmzfZp5DSWtNXHQiCbFJAIT3D6FV18YEhZn77Nl7ONJxWj8OzXiYwLq30+Odiy0dxtSzmNJj+WtVe7bv6EfdgHaXLffPP66hkW8L/v4jAs+6Ttw3uxuBrYuG6Jwp+7jXex0ndpk/375FDnC4B7c9PJqhk/qV86smyq12TM+0GohQSj2mlLql4KsK7ymZXQv999cWtv8TUew+o9FIfHx8ke1Lly6lWbNmvP/++/nbmtRrTz2uZeljSax5wwavQAe2RvzJod0XpznNzsohOS6VlPiLWd/ztnZ0HxGGg3PxXex8OgQQ/mZfjn73AyuadSFx6w4eiQ5hcmTRivCR7/dx8hfzt9rpfWlsXuHO35tuQWeZp90zpcUSv/xFzi98vMi5Mbvhr+mQm7fA4rJly7jrkTs4n3TOXI6Grkz5shsz79jPFL/1ZGcU7mLX1OtmGjAcX9fiFykTFSCZDZTSUq21npHXYXuaUmoW5lp8BOaa/IUJiT0xz+HXHvPglzXAKK319rJ/HlFTLfjyR9545FUef+tJJj89JX/7oUOHCAkJ4dZbb+WHH37A3d2djh070sC3Pv42nnz8zVf8+Zo9iZEO9Ooxikfe6IrWmnfbZtCr0Uc8vMmZ5JOaU/Ob8czMZvg2Kdy108m/PgYHB5Th4t9/ru0n4tD0JgK/Xoiv/0aCutx72XL/PncXJ88f5M/vI+l6Q3sA9i/W2LlA0wEX7xUQ6opvkBPOnuYfibuXOZN0yokG7W+tlK+fKLta0OoxOe/fS1t/NVW0kqFkdu1jMpkY02MUTs5O7ErbX2T/+PHjmTdvHvv27aNly5b522fP+IR6Nh60CLlYgbz3tTvxr7uZZU+mkXYqg+mbX+do1AFC25nn/s/N0nzb35OxN85l4ocXu4307t+fnWchJxVsSugJ5+Djjb23J3ZuxU+taszMZfODa7D3dGB0VDCBbZx48rcw/Ju3wcnUk9zkc9j7BVP/3sXY1Qspcv761+DAUk1mPIQMgYiICA4cOMDx48dp0eLi52wQ5oatowEbu8K/TyZ+14zBu4NofK3M/lEVJLMt6FOttY4A+imlPDH3NwnPe11o7osHojBPmj1Ka51kyY3FlREfH8+GDRsYMmQINjblD5IBIwZyMuoEg24t3G/P09OTkCbNyTiWzrmz5/Cr78eWLVv49eeVrFv6K25ezjy6uBMr3zvIne8OwL2OI1prslIAFAaDgcjV5jlPPQLh+lYXr61NJkwmGzzbtCtUqT6zbC77nhlPlynPwZE3SF51FKfxX5OVlcU3n87mhoH9aNbCPBf2jG+nMmDmSPo+2BAAY45myW3mATZPFHjI0/+hQPo/dLFVxc3PgNvF2fiIPHyMk6ePWbzAgqgYjfUHtNa6aTXdVzL7CsjJyWHFihXccMMNeHhU3piLSxkMBl785BUcHYvvStG2bVu2rNvCgk9/4rkPns8fq+Hu7oavry/9+l980ubgZMfIJ3pgk7sLR1d7WnVuSqvOF79NtYasVE1uhk2hmYm2fg77FkDoaAjqU7QMsZsj2PnMdNp/9DJnJt7KaVMuxY1csXG0pef8wdi72ZOTGM9fPQPwvrYPrq+8z/HnO+HYpAsNn9mMa/viGwb7vgUNOsL65+DQzzBs/jC6d+9Ov36Fnybe923rYs93dFM0ua70sSy52Rpbexm7WxaS2RcvctW9wsPD9dVi4sSJGtBLly6t1OtmZWXpjh076gkTJugPX/hAh9Bc/zjzx/z9OdlG/feCKJ0cl1ns+SaTSZtMJq211rlZJn1wuUlnpZj0zs8T9a5ZidpkMumtU5/TS/zb6MUB3XVmQq6OP5iuczMzdPRvi/Q/w+x12g4HHbswXKftX6vTzpv0zMEndCu66nuG36mz0kyXLfu+RSZ9eJVJG3NN+t+PTPrMtssfq7XW/36drX0J04COiooqx1fr6gRs1eX8GW3uhF4fZtmrIveRl3W8amJmz5s3TwP60UcfvWL3jI6O1iEhIXratGmFto/oOFyH0FxH7j9S5JzszFz990+ROi0py6J7GI0Xs/mCtFiTPvzLxe3bP0rQe+ck5e/fMOY1vTSgjV4SOlJ3cPDUd3aeoE0mkzZmZWljVuH75px/S2ceqqvTjq3Xf4S76R0PDdfG7Ex98OUx+u+H52pjjvkel8twk8mkd8w16eN/mbSdnZ12cHAotP/ERpPeNqvoZ7DUya25+jFDql71kmVfr9pEMrviL5l+oJabNGkSAD169KjU62ZlZbFz505MJhPjx4zlIbtH2PVHFPbZ6+k5MpwNc06x6OnTNO95ihfWdc8/LzvTyC/vHKN1P28CWrliY2PLxv9tZt2iTTzT+wH+ejwOg53imrtdObdiDsq2Da5NAll+UzQx/2XRunU3uqzYglN9R2wcknHrci0ODXqxf4nm3G8NuKv7F9T18eEZtzQe+deJhh2Kts63HG5ugTgboVnzmMazbSIO1+1n+DPtWHa/wrOhgZvfv7jogKMn9HB5Apf+/9KwYcNK/TqKy9OV1OqR12I7Ku9tX+AtbW7NLbgvCvMKg2u01lGl7SvmHjJA8CrTp08fJkyYwLhx467YPZOSkjh48CA7d+7M35aWmsqI+25hwhMT+fHdlXTo1Q53Nx86DQrBYDCw+NV9rHwzhjZDY3j852sve+3ILUnsWxtH/6mB5GTk4uBkj429eZo9Zx/Fus0/sOavXCa9egcbn4rH3l0ROs4dgFZPT2Ldvwm4GefzuM9kYndN4ugv6Zya1gR7m2R8R7xF8ANT0VpjytwDxhiS9yzHlJaCS5MWGOwc+HPlPGJ2QIsHIPGskU97ZnDja3b0ebbwAjBKKdqMNf//9ddfLzLX/y/3aiL3nWDXnlhuf7s9347Mxq+FgSHTi19I5lK2Tgpnb3C1eGFqcYFkdhVMqSdqlg4dOtChQ4dKv66bmxuxsbEkJybRIbAVQfVao6ID2LYghZ2rTzDsvhtRKprAMJ9C5/06cyeLXzzP0jf3kW2Mp172zSS2WsWhvXvI+Wcwd84JxLuRQtnY0HzqA5ya+QyeYcPwDnQg48DvuHvFkbhlPbn+bwH3YzCYu4mGDIXuU5MwpXlj29yLI3VzcXAr+fFdvbbQ7c0Mdmzby5oP9xHY2pe9y/3xaGCi8XWK1W9kc/dSZ8KG2bEo9Q7gjkr/OorLqNz5TEdprWcBKKUWANuUUn3zwnY68JTWOjFv/0LMXSYoZd+ljuYN9pumtf7KkkIppSYCTwIzy/m5RDWqW7cuX355ZdfLad68OfHx8bi7u+dve/vlN/ni3U94ddo7LP/yNyJWnCU1RvHKirF0HtyCoHY+KHWeRq19SrgyfHzHZuKOGNiz8RjbVh7Dz9CNrnc05Pa55pmXfnzvZ7Izcsn+6xaG/Vofe5eLXfK8W/vRYdaLHHt6Ni65GzF0uI86oXbE1/fBLi2WmEXvEPzAVNaO+hm/sBiajwTtHIxu8zsN7jBPfTfiR4iPBO+milN/p+PvFoeLV91iy3rB/ZMeJjuz8GDEwV8pXhv+H8s/iqf3hBD2rTQQe8h02Up1Vppm1oB0QgbY0u85B+qFGng1tmKL6FyVJLMBqVSLCnB3d8fFxYXxU+7hmjZhBHg3Z9vK0/Qd2542vXzx732IiC17GJPbjPdfn0GHazuRbkonRm/E3+Uacs/bgGsC9z47le2rznB4fgMc69pTr5O5dTmeJ4mI7EPH0S2wbxCN0XYrcbGt8bbpw5o3TpMY9xIZ123nlSdbM2fZD8SsdyBuTxZ37Peh24POHD16FB9TYwyG4ie5SUvK5qMnfqJhK08enteb60YE0WmgwtZB8ftrWZzdbSLhuIk6TQykJeSw/88E2g/xxWBTvr52CyZlsmd5Lk/uccHVR/rrlaYyRokrpdoDW/OvqXVi3kC+EcAMoMOFAM4Tr5Rqn9cqUtK+wmWVAYLiCvHyKjwl5823juDMyTMMvXMI4Z06k5Nmw6alBwm9rhEAnUbU56Ffkpkxdh7BPcYQ3s88ADAlOZl3XpnGyDtv5Zq2YZj8dxJ9OJa+YTezf6MjSUlHSEpyAsxP5+Zsf48vh6Rz8j+NX7gjDi4XMywhSjNvgDsB7Q4yal0Gzg0D+faRjew68ALj+y0lsPNAAAz2tkQuu4kW903kz7s6cGx7HCGPG3j7scmciFrHkvX3Aw8TvToB55xUGra4/B8CWVlZTGn7DRmnHPgu+U4cnM3VmYBOiudX9yH6SDKNwtx58bgJe5fL521GoubQ30mkZ9rQ77mSK/FllZWmmR6aTqNOBsYvdCr9BCsnmS2V6hrHaDRy/fXX07hxY+bNm1fdxSmVjY0N0z59L/99rxEQFxvH7q27iD4aT3pyJsejjvHuK9MIbXMNayI2ct2gcFLPOLLuiW8J8XyS2CMv0WlkXW5/1xk3v4sV4OC+iuODwon/dRmJu6OJtztCo/Rt2KT8j9/4hd9m5nLN6QhOHE1myx+7uGXBCFJP5ODWyJ6FCxcyatQopk2bxlNPPQVA0uEEEvedp9HQpuRkGZn7+BYC23gRPqgh3W9tysHfjTTpasDRXTHkbQd6PGKPd6C5PAueOczaWad4aFEbOt5SvuDNTjMP0DSvOiaV6tJUUquHN+bWi/BLttdRSvXBPGivoESgj1LK+3L7MAdvEVoGCFYLo9FIz549adiwIfPnz6/u4lxxbTu0Z9ZPcwCo52+ekrTL4Gvy9+/6bydnTyaSFJtG0vm0/O2b1m9k5nufEH8+jo/nzmTGqkdIOJdE/UA/OvU9w9b7HqJpUGfgCQAaNvNn4CvnSDidiINL4dk93BtAm/HQuFc9nBsqUk+kwNzdBJjiiVm5kJT9uwkYOZ5e3w/OP6f7J4l83OExto+pz97Y1cQnJhBz7D38gx+m+/v+hNzhRUDP4luMD/x5hltuGc7++H94+PrZ2Dlesu5AijuNW5oHj3oElDxzsIe/Ismwh/T9BqByK9XaBFnJmuzUSr1sjSWZLZXqGic3N5eIiIhi5x21FvcPm8y2v7eyau8aAps2xs7elrk//0hQ86YYDAYaNQ/g1LHjNE16lsxEOxb8cR/eDZP44HjhVb28mylG/ATbXq6Hrb2JPm+9T+bWxfj1u4m+Qz7GlGOD94mGXEMXwlp3wj3QHvdA8zyqLVq0oJFfU1a/mkC30B2sWbeIltuakLU7jcEbbyfZqFj39WFCe9RlzBsd2Lkwl29vzaTbA7YM+9ARG1uFd+DFim/PiQ0wGjUtepR/4Zbb5zmiNRgMUqG2SCUEtNZ6jVLq0sd/HYCnMLdCJF6yLw7zMrVRJewr7Z6JwOy8l6hiRqORiIgIYmNjq7soNU7kgSMM73QTHXt04ufU73B0udgF4oaB/fjs+y/p1vt6ABydHKgf6Efczlj23zWJuo4rSfh1P7z3RP453z50iJTYHHpNro+Dy8WKrI29YvCsi/e197DHq3UdWtzQjvpNPXBtdrGSf4GztxMdu3aiYbgXLI0lMakh6f+eg2Bw8rUlcIAbANnJRrRJ45A33WlGag6v9vsdh+xggn0SeGHxsEKZmpGo+bBLBl6BiuejSu/GoZRi1FvNsLUvbdmOsnN0U7wW54K6WiJfMrvslWql1G/ASK11ckVvLopycHAgJiYmf3Ura3TbvbdTv2F9GgY1wM7e/C3Wf+jAQsfoXBOpaX2o39WOh95uhXdA8dNFAbR7oQvp5zSu9Q3EO/qRk+ZI3x6fsvoDRzLjdnB/8GxadpqWf3xulsY5qiGjEz4kKiea5T/+zPz5X3BX/zdoNyyUzNP7sMlI5+V1N+Lf3Nya0aS7gba32hB+R/Ff9ybh7twzu1Wx+yyllLp6wrWCNGXKZx+l1NYC72dd6I8HUHCgSl5LR1RecE8q5loXQrm4ZdYuDWyrUNsz297enpiYmPyp5MRFAYENGDR6CL2H9ilUoQawtbXlljGjipyjc01kZITh3TSeDtM+KLRv6s+tSY3LKVShLigtxoSjl8Lew4EhGy5cuwspx5NJPBCPZ4uLP1afdk7DJu5BouxmsOnkOsaFOuAd9FOh6+Wka34M3092kom7z7bGYKPQJo2yVXT1vpE3Nn7AuYX/w/HGG3AJbMCGeUewtTfQ45EAfEMsD9vBTzSx+NiyuloaUSSzzcqTQkeBScA7lVwWkcfNza26i1AhN90xjJvuGFZk+7MDZpOWlMEHmx6k4cAmNDi1nNiTSTzc+TOGTOlCUMfexV5v7aNZ7JyZw/Cfbdhw60IMhmTafTiClLOeuDv+TEqKK39+c4YBDzfBZNS8Wxdys5zJdfTklvFNGfBmHVpfG8KyB9M53yQe+80fk5OcwpDILdg4mFu23esZuPP72t/nzWqUbdDLea11qaNx8x7xTdZaX2gFKe5xkKcF+6xNrc9sV9fiFxu52jk6OfLBjx+XeMyhrSd5YdBX3PfhTfS8tR0+4XW5LfqNQrNq5OYYmdL2YwKa+/DS0uIHbCdEmvi6VRpNh9pw0wLnQvtW9V1CZmwGt0dPwsbBXCF3d9pJsmpF4vqO3Nt7ANfEHcMxwFy51SbNN+EnMMRvAIdW1OvmgTKAMdfEV/ccYuQzPbjpucacWbmGva+/T8qRo7Sd8RIf3bkBeycb5qdfuRlZRB7JbKB8lerVwCylVBDmfir5H0RrXSWrhInql5KcQnZmFnX8ih84suiTlTi5OjJo/A2XvcbZyPOkJGRgMmlsbBRKKbIyckiITiXudCqmXI3Btuhf9fU7Gjj5pwHP5vb4htuSdmAr2au/pGFHV8KcIkk95kpw4GmgCcoA9i6QlprF+awsVs0+iV+PJEJatOTRBe74BrrikdGAnJS0/Ap1eWRnGpk5dj+t+3nT8x7/cl9HlKDyFxJ4BphY4H0iRUO3DublukvaZ20ks62U0Wjk9PHTNApqZNHx//wawZ7NB7nrxVEWL/aVkpBB4rlU4s9eXJb80mnqTEYTsSeTcHSxJzdTm6fau6QF1tFL4dvGgH+XovcNmdiKP+Zs5LsZixj/wmi0MZvrer7Cga0NGBRylJQTMexKDqTB7JcJue0ecuKjOXdoAA6213La7TgJv8XTJy0QY47mv0WxnN6Txs3PN6HeDd255qXHqN+/NwaD4tlf+mJrX7ZFzjKSc/nizn1cd3tdOo+q3D7VVx3JbJQuY89ypdSRy+zSWutmFS9S1evQoYPeunVr6QeKfP1CenEi8gTbk/fg5Fy4RddoNNLDdgTObo6sTv6hyLkz3/mE9b+uZdbiuTg6OeV3CbkgKzOXz5sZ0CqX+w8p7B1L7vqSdvBfIp/ogkMrW9w9c4nbBkEfnME5b5DO+ZNpvHnjak7uTcHFzY2jmd9jNBpZtGchiSc0LfpX/DFx7NEMHgv+h+Au7ry06dLxFAJAKbXNktaI4jR3VPpjC6cEH3CEUu+T99hwQYGploK01lF5ZQwvcNxMYKbWOqKkfeX4SNVGMtt6ffTy+3z8yod88fNsbhjat9Tjx7WdypGdx/jpyGc0CK5/2eMWzv2R+bO/5atl3+HtU4fMtKwi3UMulZtjJP284tNgRaNeuXR5I5bgtpY1KCSeT2aQ7ziahjVm7s73Sd89l6RfxuMUPpVjH31EYpobz63tSRevI9w9NBljwgkC39yDY8OWfHXvHo7vTOGBhaH88Nw2+kwIJTCsDsf/NtBqiC0OrhXrXnF8RwovtN9Km4HePPa/NhW6lrWTzK64MtcudDUtvXs5ZZnsWxR2eP8hhncfxCMvPcHdDxbXVemibv17cPzIcewLtO6uW7yZl259h2k/P8unf76OnUPxleHflq3iv7//5XxMLHYGF+o39sOmQIu0vYMNBvd0Th6M5rHQfXxwaHCh/QVlnM/gj8FPYWPXnqZjR5C683OcOg/in4VOrH4rmrt+8iD+fCwn9sbTpH0dHl/Yi53/eGMympg7MpNz+zUvHHfGs0HFBqX4NnHi9R0d8fIvf2u3KFklLiTQB3MuFOxf1x5zZkRdCOu87UEFArikfVZDMrt6ZWdn069NmqCM9wAAIABJREFUD4JDmvHVsu/KdG7bLu1o3jqEwGZF+/w+O3w629fvYdHRmbi4m7tbvPrT45w8dKbECjXA2l9Ws/XvLZw+cYrMlFzq1DM38GmtMWaDrUPR/LW1s8Fg0GBrYsffB/iu3Q98dehRApqVPP81gKePO4uOziR2Qw5RyxI5uiACL+WH9zVd0RPGE/nbcYZ4/YHvscbsje5E9zG7cG8RgrIxMGV+GACrZx9ky7ITBIX7kBrpw8+PZjFomqb3ExXL4MC2bry6tQO+QZcf1yMsI5ldztk/lFK9MU95EoT5Q76ptV5amQUrg7JM9i0KyEhPJyEugfjYuFKPffGjV0rc37bH5QfxfbvqRxLiEvhgylz+WRXBdX7TmRHdLP8Ro1KKW1fl8Eir9Xgcu47lQ05x4/f+OHoXfYy3ctx5Es8PIcawgvkvneXY/nBu6TOKnWu2k6mj+exeF97bO4SX/hhAg+Z1OLvTQN/burPsh8V4DV1L2C39cPcv+gsj6bQJOyeFs7flrR6NwqQfZ02XN+fpaiCxwCNtT8yrdIH50eIopdSFCt7kAqeXtM/S+9+Sd24hWusr2r9ZMrv6mEwmYs7E4O7hUeZzewzoSY8BPS0+PjAkgMCQgFKPe2/OJzz5+rMYjA6MDLqXaweF887/nufb2zLYvSSXF4654uFfTMODDZxPyyDHK4lg/yA8vEoe/5Odpvl9KoSOhKC+fvwctoM40x42pfnS2O51EpckgWEHTftnsmbpccI9JlIn5npGjb2t0HXioowEBjfhhd9dadm9LmnnDJw7ZKLNiMJVmNjDRlaumktIWHOu7dmt9C9YnsbtrXscU21i7Zldntk/hmOeduQpzOEcDnyllKKaQtriyb5FYWHhbYnMOoO9ffn+0u81/Fp65Swu9ThXNzdc3dy4dmB7Ijel4hdYdOyAb0MPpq8ez78v7sO4eyox6x8j8JZr0VozZ8p+nL1sGfVGMw6u8cfEFP7gH3L2naSOszvZfx/EoBvi7KXofU8TDAZFy+5+3O77PnZJzf/P3llHR3W0cfi5K3F3V5IQLLi7Q3GnOEUqlApQSkuhFErRflCglFKKlOIUd9egCQGSQIgRI+7Z3WTlfn+E0lKgBA2Ufc7ZQ3Z29t65w+5v3zvzCr0/bsnYBe9iamrGjcL4B85dohCZ4aXE2kvg8xvGqIvA0OLhxrVGJXLqW/DvXFpkQM+LQXxO1bnu6sAj/6PuasfPT/paWbibdaMND+ZIFXmJQYN6zS5fjIyMuJoZVWYf57Iyc+vEp36vsbEx3n6+FOQWUa1xIA07lu6YW7oIWLgIyB7hCWJmJzDpljEHB3mSHeqAJgeyY4+Ttm8j/hPmITUxZfuMGNJjlIxYUZk7lyFsFRSmwqX4jUQ0uIhhkRW5Zy5jXbEBlasHIRiasv/Xk5gJhviYXue9m+3uO2d2vI45fgrMpcW0X2qHgZGMnxb8iqG1IbbeA+71S76i5duacewSP8Pbz4eTURcA0KpFNCoeW2H3T0KWi0iNIGiQXt+fBL1ml/I0K9WzgFZ/qyhz5G5Vmo3ASxXof0sEziOSfeu5n6c1qJ+GXmPeoteYt+49j4uOxc3THblcTthq2PyOGiuzUGq4bEV53Ql6NECnFTn+SzImVjL6zvTnqHQYRcps3nK2RaaKwEAi5VCWKzU9zmJex4CffthJUcYUWo91ICnvLBJCCNtvTnf5D1TpdX+OaY1KJD8RrHyhchcptj4CW/tA1C74MEbEwv3B73XKJTg7G9LCoN/OFz5lbzTPseRtedEG8BVFMa6cx6HX7HLmVU2Ram5lytJTM+89b/hZPs2/MsTU+tHucWv7F5N4yRoXexes/KSEvjuPrBN7cO48EKuajTixIpnM2ypqD5JyoEsA9pUFGr53jeGD5pGUlc/7Ts50sNJQu+RLbEtqgVqC31dvEbs2n52x2dyosxSdVE2RxWWW7v6RXb+cJ1+Shau0GYqYYnQ6OVsW7cXIxJBajetQrYUPBoYyzB0k+Ndw5aPai2k1/K9QgfUdIeE0fJwoYvKYSraiTmTfByAzgaBBzz6/bxp6zX46o9r3nyUa7zqIPzbB9gvg3xKB38ddp/dRAB4eZYuk1vN8WbZoCTY2Nmiv1+T61Qus3vsJA0YPYdZP83EKAhtvCYXKrnh9vgXPbi1Rl2jRaXVU+uAaTpZmZIc4YKS1p5L0A1TZISzXbqBIY0JbaV1MlVEc3pdNskLg4PKbtPvYFRO8EZCgq5DIe1/1xqfj/T5zu0dB+AYYFgxDt5a+dnyKSFYUyB/h2eHeELquBvuaxYDeB+9FIoplXdnTvtBxPAMhQGZ5DwK9Zut5BGdPnebI/oNMnDqZqDPZdGwVhJOLExeSwh75HudqAtkxAn5dtahLoNI3y8kPv4xljYYAVBkdT3Z6LgNbjaOzfCcetmak793AYHkJtxp0JulqCg2r2GFkaYNa7oHi0hJ6bb2EUi3SVVoBdb5AeNIZcrlGalIqIhoSxasM+KYZdUabIZFIWBe5iP0rLjC5wyqGz25Hn8+acXoGFF0zYtCCvnjU+8t4tq8MymyQlSFjqiARGHhIRCIv9S8vLi7GyEiv82VFr9lPZ1QfFgRhnCiK8/9sEARhPKU10V82ZU72fTex+M9QGkn+Igf1utCvXz+Cg4OJiIjA1PTxlacACvMLEQWRffv20aVLlzILTnFxMVPHTsPTsD4BGhuUWikBAdWo07A+AA5VRUYcVqKRSzEzaonc0poPA7aQlZpDSP4yrOQyzJevoc2n3dk5axWuuj7Uq9IVVYQZ3tWURMkdaerQn5O7Y+gz0wMjMxlaFBiaC0zaOAC5kfSBJPy+7SE3Hiz/FrHc/BuB5t88+joEicCMHf3YMmgL8fHxuLm5len69TwpAqJY1l0U5QsdSVm564v3dw4DIYIgbAEu/v2Fl5zKTq/ZryFxcXGEhITwySef0KxZM3777TfUajUateaBDExPy3dTphFxPBXDDB9kGZWwFWtgpbVBpSjGyOR+HxBRFFEkF9J3uTnqJVqG2azl2Blzph5pj2WD9vdiZBbP+B6VQkWgT2tCY1fgF3oLjxmTce/ekZuzoripMKXfNwO53vcQIipCtPOwU2/F2DiX7lP86fD2CFJu98LYUYG3vzcek7wZNK0dUulfq+duFZxJTU5GTT6irPT7790a0q6C1T+8YdsteDI3Ds9mpf0//PBDFi9eTHh4OJUqVXrSqX0D0Ws2PJ1R3Qe4JAhCP0r982pSKpTlkVfslUj2/bqSnZ1NdnY2Wm3Z7hqDjwQzrPVQ/FsHsOvwLpYsWcL7779fpvcaGhpSyaEZ8nRPKnZRU5RtzPHTluxddJ6eg3tzftxRNiyNIl0j0sE2mFar38U1wBJzOyPGTl9N4fErSDOVfL9mG3kyJUHaWTSwncg5XT7nbn5LtiKRTiOmkyMNxLa4AsamRrw9pRlGxqYMNF9DgL+aibvbY+7rSXa0SMhyaDAeqr79eMFVFqhBAGOz0i1cNzc3XFxcMDT89xRUep4FCYhlnd9XQ6CBOY9o7839gXgi8DKNar1mv4b079+f8+fPY2xsTE5ODgADmwwgIjSC4MxzmJk/e6B0/YZNUJxM5cjy6ywN6UhC7HAuXl3P+LdmsPjY9Pv6Riy6TMjXZ2m6qiNy4zRMS1IwUNkx02sxJo0C+fpwZ4ryFfx6cCXbF56lUfsG7Ji3i+i0scxobMVZm2F4GnrTxewdXK1tcN7eme3jr5Jz2YQu9W3Ze+47di+LIXNaMm3XO+PdxJHMxELe89xE/Z5ejNvckuTzIlF7wK/BGeo6FsNQf9oOLF2YCewhEPhPE+lvKPJLkEgFjEzL5orj4uKCk5MTJiYmj++sB71ml/I0KfVygQqCIIykdMvusCiKz1wv/Sl5JZJ9v64cOHAAnU5X5gAaaztrHFwd6NShE07eTnTp0qXM5xJFkZT06xiTwbgNMxEkAvkdQqjaKBAA+7rOuO5OxLkoHbnWifSLaXSbU5nU1FTqN6/PF8MTuXT7IobUxAUjVGSRdDEMGZ58Nnw69Sd6k7zVlPOiD5vHQd2xAiOm9acgu5hTC9ZDYjjxa5VUnfoxV1bC+f+BXUWoPuzx4x7tvhFDUynLk0sj0ufNm8e8ef/Z4nSvBuKTrHq8Grxqqev+RK/ZrydTpkzhyJEjfPvtt/du4H0CfVGpip9bLMzxbcdJ1+XR851+eFe3p+lkOQVzfajb9sF8zdZV7LHwt8bcxxKpRKRHzfNoDBqSn5uFpIKErOQMurqPJqhRVWJOq4k7c4KY5DCskCAIAnYZbREDorFyMeVA502Yuxrz9t63iW50GRtZRUbbdkaZPJ4icwk/99QyYpcG17oy7L3McKxQmp3j5HSIPQg5lfYhZBxi3KXdGDs8/p5Mq9UxymUD5nZGLI1/sDT7w5g0aRKTJk16sgl9k9FrNvB02T8OAL3LUZTvcbcW/Ox/NFtRGoCj5zEIgvBEEekVgypyMukUAKP497zWDzvXFz98jk4nYmhc+sVbdPSvlZAKAyrz2YDKFCVnc+MdR+4cWsEn8x25XRBPYnoiMlMTJMgwszDB2liDtmAnt4rMMEIkNjKNQ82SmHulGy4r1Rhaws+zfuanb5ey+cIWfozvT9JOO5xal6ZYqv8p2AaUpnkqCwGNHDAwfvg8TR7xJSpVMfPW6o3s54mIgMjrJdD/RBCEjaIo9v1HWyugtSiKL+3XWq/ZrycdO3akY8eO97V9t/K753qOxRt+ZO2StXz83UguXLhAzz49aNu2LYMnzX+gr0tLT7qeG0T45XC2LN/KR3tXQ6qC1JNRFB/sRNQoGVKxM2bmVsw90Q0TQwu2vdueI1d+Ryoa4urjxLc/NyPjwkm+meCMv5kh3R0NKC5Qc/uOgk52P6A2O4/nhCUcWeqLjbcECzsjfoztw7lj5wgyqcbk2d9Rs2FVNq27yshJYzB2dijTdUokAv4NHTCz0e8uvij0ml3K01TAiIMntKheLLF3y+/+yWtZoOFVYenSpdjb2xMeHv7Mx9q8YjOj3hpJUWERAIM/HMLQj4b+63tk8kLmRmr49rqArEBOu3rtSY9U4+NXHwEtaflheLlcxM49GiTFdKk1nGomM8lJUSBqdfT+Tcf5U+cJ2X0HpULFkpYFXF4vcOKcI5tmRQFgYisQNFhAblzq+pEVq0OR/XCXTUEQ+HJPWyZseXj59cM7jnB42yGetDLpq0LwyTP4mjuzfcOW8h7KPyhd9SjL4xWm9UPaLvHy9VOv2a8gV69exc7Ojl9++eWlnTMjNYOhrYZwbPcxAAKqVWT6shlY2VhRrVo1xowZw8SJ96fqmzBhAt27d0en0wGw8adNbFq2mUsnLmFVyRnvru6IqkIMUOFh0Zre7/ekalNvfOvZMuqwJ2bGluQQQnZWKlm/TyZm1SlkmKBKhxOfTmfSjE8Z82kP9uRu4Uz+aIyOBDHujALHQAk6rciv3ZVs+aCQYmUxcosSgs+eJC7cnXjJgwsdmhKRlKvaB/RYEASmHGzPpxtavKCZfX1IT02jsoMPUz75/DkfWa/Z8HQ+1YeAn++KYgh/85F7ycE3f/LMyb6fhLCwMKKioujd+79ZqyA9PZ3MzEwKCwuf+Vh71u3m3NFzfFZzHx1G1OTouhAa9/elx8Qa3AqP4sjOwwz7ZDhhp26gKiqmabd6GDp4cCrDFp1Sy5KV39Cme2s+9t1N5cI2VLCpQWh2LMER1uQK58nWHeJKaAmb2nWihY8F5zenYuMp45Z0IR3derJ552VWdtGx+30RtH5Ey3YwaE7d+8ZYmCky00+BYxWRA3bd8PLyYsWKFWW+xn2Re9HpxHtBOq8bxSoVRYVFKIoU5T2UfyBFFF/PggyCIPy56mr1t7//pDwybrxxmn3x4kXu3LnzRC5qL5vCwkKysrJIT09/aeeMiYzh3NFzJF+SYfV7ZQwsNCx55wRjV7egYkMnxn88nj3rd1K3Tt17PttbVm5AlVXI9lV7sLdz5NNZn9CkQxNadGkOgKGzD7pu61j8cSxBnZ2p3ak0U0vwvsssHL4F2+IgUoB85R08J67C8GQckaNaclrVgT3/S+W7PvZ8ssUUC4Pp9PT7Guu2ozn+ex6J8eFYJDchcqcOjKvRpH0zFIXFJASDvaQ2fUb2e+D69n1VwvF5aoZtM6JKl383b/Lz82nRogVdunRh6tSpz3WeX2XUajX5uXnk5+U/5yPrNRuezqieDeQAbe8+/uRlB9+UnvQZk30/KW+//TYRERHExcXh5eX1sk770pg6dSoTJ058LmmEhn44GpnCgZxzBtw6l0t8WBa2jgJMrMEPXy8gdGsWdrnNWbZ0DooCJSdKNiOTy2hUrxHnTwbTpEMjcsPNeHt8dcJn5FM50IWosx7oig2p1ug650PV5Clg3PyVmBWPwU/SBqUskRxNJHs3byPrmilD5wVwcp4zdrVM+WBB9wfGaGwJlbtKcQpS89XM0yQlJaHMFTm9WE2tgTJsvP59M8fa7mHJDMpO27ZtyczM5NKlS0gkz1Y6/Wlo3rYVyZqc516Y4tl5/fzz/salu//2pnSV+O8c5uVn3XjjNLtnz54kJiaSlZWFjc2zfUdfFA0bNkSpVL6UlG2ndl7g0LqTTFz+Ad8tXMmWj7JJvFaIXJZIanQ+KVF5VGzoxMrvf+H3H3/DzceDth27cOVX6NiyMzs3b+L7McsQlXJOarbQpsf9C3qVB/WmY8ZV6nXzAiD5osim7/eSmHqDCiadcFcHklsCZ44r8ZcV41vtFCqHuugubkIMCcbV1ouEjHgkTS5h1PZH9vkpUIgaOo7PwdvfhoaLU+nX+gRXDsUTIO3PvEtdkMkf1KyAtlLig7U4VRYoLtRxepGGyl1lOFV6UFvz8vIICQnBzu7xZdZfJdavX8+YMWPYu3cv9erVe+L3u7q7Ea9MfwG/N3rNhqcLVHwlg3FeFgsXLiQ0NPSp8qbejo3D1cMdmeypqsO/NJ5V5LUaLSGHojn0+xkiz0Xz3Zb+VK+oo/qdCZgZ2bDF+zBVCsbgZGXLzrkX6Tp8KP4tjJg5aAW6giJ654/k47nfsLN1OHduNsermRfWBsvZfOMAOaIEfzNbRnaqRls/E774/RgaiYaeXUWyMlSEnU2hV7vJaPJNcfO3I/GPcKwUJ+m2bDAmzhYPjFUqFxj+hzF3rhsy8psYWnQ24do2DQemqlHliXSe+2J98JKTk0lPTy9X95FXz6CG11mgRVGcCyAIQh1RFJ/3HuvTjOeN0+wff/yR2NhYrK2tH9+5HHmRBrVOpyPkUDSB9T3YsewgwXsv0398N7qPbUjzXiqsnA0Jf38gH9SLxN9gGkeCgujz5XJ8AqZRMLsym7+7TcJNT3pNWsTUlGmMqbgWS3f5fXpxfPZN4n6LpdvmhvT+siYACccLWNPWDG+/UQw8mk72knj2bD2BBQH41nDm6shNpN+yJTmmNgP8dNhYnqe3ucD8bQXkXf8DLeOxqphH9aZGdJ5jdzc/gy+7w/ewsOVxdFkazKQP10v/VjL8W8mYX0NBboKIMhdSruoYtP7BeXZ3dyc9PR0Liwd/F15lsrKyyM7OpqCg4KmP8WI0X6/Z8BQ+1YIgHBAE4fX6FD5HWrduzYQJE574Lu/UkePU8w1i+sQpL2hkrw7HN1xlZMcP2XPiN2bvnkiTHjUw869GheEfYhpQD22JlBuFwWTV+A2FmIEqV4rmjge3Nnlz85CK5KhkFn4WzvFwNRYuCZywnMLuBiHUdmpNLSNbKtkEcmDKWq7//j2V1V/QXdyEu/MgKnTJwhh3TFXVmHW2B37di5geOwPfZZUoKCmhr8O3rJ12BAB1sY7UqL9cHmQGYG1ljbW9GUF9ZHT7wYBm4158FbSrV6+SkpLCjk1/MOWTz8uc3vC/jwQwKOPj1UQUxbKlGXjBvIma3alTJ8aOHfvaumU9D87tvMHk9qtYMXE/X60Zy9LTMwmsXXp/Ze1iRHJiEu8dzCcqsCVyWxfEkhLsbMwZ+MFg1IU6DEx1tPwOar8r4da1GFT5AidvLWXG+GnERcURti+DFZNuczRCwqBRg1iyZEnpiUvyMJREUsh1PHy8EdUivpJGyLBmTofjhF3/nHzlBBS5kCwbgM2AA9hGfMH+Kb58Obkra945xfWI03g20tx3PRUqVWD+zUFMPN6aDu3bU8eoNfHhaQ+9dmMrARM76L5ITsdvH60R9vb2r11q1DFjxqBUKom6EsGi2f8r7+H8Db1mw38jUPG1wMPbk8rVq1K3Uf3yHspzZ/WC1bTybklKQgoAVZt5I7HOJTUjHo/Kznz/4XIGBo1D2uQLosXVtDu/kAteS1l3dDpTzzRh7Npm+NazxK2aCZP2DabGyookaPeTJp7C/asQzu2N5dreQsLCzall50Z6qhMJmmCMZUfo67wSR9Md1HovDUXoBUwlLmhTXQBIiInnTkoKKtNiSlQa8jKLyM8qNaRXv3+LiRUvc+tsqV+ZpYfIu6eg5UQDDE0FGn8gx8LpxbtjSKVS5HI5/5s+h58X/Eh66sN/JN40RPH1D3oRBMFCEISNgiBo7z6yBEGY+fh3Pnf0mv0GUqmhB837BxGdfJYeNbvjXtHpvtdTk1O4FZtAvLEHuSatWZA2ig2785BIBYbc8qNPsDcNxgmYOwvs2bWVUOagENP4Zf4yhrYcgpO/KZZOBnjVNmLP6V38srw0FiVTZYjYNJ+QiNtsnBBN4JSOzD33GS50RJFmSnxJMFYGB+lVaRVBmkkUxN9EnZpE+MUfCZ5VCZ+4fXhapuFd48HMHgaWhpj4mZGamkBBcTolSvV9r2cnqchPL0HuncCNWyE41lBh7VXq6vFfwsjIiDlTZjB78vRXJkher9ml/BcCFV8LPH28ORJ6pryH8UKIvRFLcnwyBbn56Nyc+GPdTmxzGtGseT88vDxJvJlCUlQKh35IYv3SNYSGNuaXzWtIiLtN1YZ+nJ6URcIhBZMP1SNkVzoz39mFi4M7+em5qA9Xoo7uQzSCSJvuKVzZ/jlSwAQdEtPVGBnkopKoSJzfg0rKGKbJg5g5ZQ7QlhGfvEuvof2wtindAt6l+uaeH17l1jbcPitgZl26SrH6/ShOrUrly5M1CGj88mtRrN29iTvJd3B2dXnp5341eX23Ev/GUUrTxfWhVCtrAbMEQbASRbFsVZOeD3rNfgOxcjCj0xeVGVz1RxSkoihUYG1bqoVajZb5PY/SPegbZi76kBV9U8nJSedGcDJQWjn273zy1WcIF73xlNUht/5RPPw8Mbcy5r0ljfm1l4rebEd7qzS70vrx0aRFq6gZVJG4rb4s+KOIjy8b4GVfD0UWiKKWYtlafDrVJXHjFjLWTMLKTIKrz03MfALQnvgBX2MH3CuPfeh12TnYE54bi0QiJeGUAQXpOswdJGhKdHzqHYyFowED5vtz54YSOy8jhg0bxpo1a4iMjKRixYovcMZfLnuCjyCKr1KQvF6z4T8QqKin/Jn641TGzx7P+QNX2Lf1GOO+GUtH3+EM+aozAPP2TebckfMUZykwWCnHIUBC/CFT8hwVWFpasrBqMIWRRqz+MJLTG+MREdGlu+EktyVtu4xAuR2OlY6gPOoPaAAdIhIq+6zGxTGc29FuXDg2DY8uuymyP4V3pdIVDkEQ7hnUAHKDvz7uZsbWKKKMOb1QpPdPUL2TLWkxShwrPJ/yv0+Kp483nj7e5XLuVxMpovjsFePKmZpATVEUr9x9Hnc348VF4GUa1XrNfoO4FhxJ5KVb9PqgEx06dECKA1OnzsHV0/WvToKARFpaMyA5JpW+PzhTud1q3GrrOPDDbVq9586q1b8yYcIEjhw5Qs2aNfHMa0HMnTBmHBmH3FDG+k4iofsyKRE1mEvtsPHWodOJaAzTsJVYoYvwRkkaopBDm+oDaSPZim8tN5LDwNYum7zLR/GsFsGdeBey71QhdrMO+4Bl+Pf/BDO/qv96jeYW5sSc0PJLJyVVu0sZusUYqVygfj9HLBwNqNfXnnp97QGoVKkSvr6+WFpavshpf+lUDvr3OXr56DUb9IGKep4DEokEMwszvug7E5mBlHffH8XAgQOpVs8XURQ5vvs4H3cfjyXedBzaEgO1G+vGR+HWJwPySzii/Y3Wo7pRqakXu/euIqFgD2+1H0FeuBGXs6/T1e8QZ256EKm4TEVJI0wlcrSiQGJhPlbWBtR8+wDRsZVJNf6O2wme5MWqKc7TYmj58GAMbbGOmJ9TqFLHgHrDS4W3Tg8H6vQoWyEBPS+D17+QAKUR47n/aIsBQl/mIPSa/WYx94OlRIXGULdNDWbOnElsbCxDp3RBFEVEUUQikRARGs7lpNX4SWvSP+AQi45Np9HIKszvEsqV3Rm4VzXn5vVIdLkqkhISOTorizDTHVzMO0TL3da069kO88Y3sM4uxETU8f6sQFwD6zDK/CTOle0JYR/VXRwxTnTHwHA6JloLLOVZlERZImps0OVkozRRYV/HE+nts4gyeyp1uopjhXBUNuOwad3/sdfpWlNC3WEyjHKzODJKoNXPLrz7W6UH+k2cOPGB3Nt6XgR6zYanW6l+KIIgVP+bda/nDUMQBHJ9YklMSeDo/BxKSkqwMbfCz8uXXQf20aBtXQriDIg8k8KBuKk0bdeZy/vO0lX6LQnnbrHj3BXiIzLwCfDCIfo73CwcOZc4D1NDF2rP/pgznXcgosJIUGIoOKBFh6JwM1V/KCR3WzuysxLYuyqRFkOd2Fw3Ecd6RvQ66v7QsRbn6Eg5UYR9TS0edV/FzBd6/iNbiSHAbEEQDv2trTdwURCEEX82iKL48qp//A29Zv83+XLFR9y6EotngBteFQfdax8yZAh/rNvMqjWraNepI+16tcPHpzJXj8UQvDWWzDgV/WZVJKCpBZ+NGElurIAvDUn6zpnQizfJERzoPLA/4o+SAAAgAElEQVQLh6aJbB5+mBjFKko0RZzSbkUikVCQpcbIXIqjjxnyCBnu3WLw8k4m/ev6uAbWI+9WE9QKARkqzDtNpe0vZpTkZBLXuDIarSkZyW0wsiii2MufhPlvY9v+PUwrN3nkdRqZC/T9xYgVboWkqkRaLnN+hVwh3kT0mg1lMKoFQdCKoij9R9tSURTf+9tzS+AyoLdQ3mBq1K6OebQZOm2pkW1UIiExIoYvPhjHrwd+58Cvl/jhnf1o0XHt0lVMCyqSLmbSrE4Hqvdy57eJF9AhxUKwIu+2AUO+7EWtVtVwqu9F9zH1eLeWNVe3GqCSKriyHQL9I7i1IgYhUoG/WwyTTwdh4aTDvWE6Hl0DHzlOEycZAyN8MbT66+Oq04iE/iLi2UzALlAvzOWN+N8Q6F53/631j3ZfoM3dv0XguRrVes1+swmo4UtAjdJ6FaIooi7RYmAow9DAAFONjK/GTqRn/z5k5t/hxKqDLF54gGVv3+SseSi/59Um6WYWCbGJONIYM/wpumpG0+ZB+PSrTYth/gw23IsMQ2SiE8NnNKFEocPITIK5rZzFqY0BGJpTEalMQnRUJFtla2jUoSYmLmrUSg0FoTrsAtSETj9HhcGVaX8tjjsbJxJ7qgY3Uj+lhe91bq9bjyAzAIuKiFotZl5Oj7ze/iG+oOOhBrUiS+T6WpEqAwVMbPW6/iLRa3YpZVmpftgncRTwXhn66XmD2LhxIxdPh9HdYgqtBtRm8/7tDOn8NlZ3/ZpNXYoxNbXB1/Z9CtKkGLlm4eteyEdbW2DjbE5QWzd+HLsdQ3kOMcc0tP6gBSkXs/m21Rz85JaMONUXw9hqBF+7gIUkFWnkBiLDKkJQMD2/ccXAzoJL45ZSfO0ITl9MBmy4E5vFvKEbGfxNW4Ka/7ULbuFpgDJXJDdJh5WbhKSzcHCsiG97kT479XZG+SMALz6l4YukHN0u9JqtB4Af3t3OvuUX+epQdxYvWcJbbTpga19a7EQiEZAIEqxdjDCxkuLWypw+9XszuM9MqjCVesOklKgL6N7HA5sa8MMHf2DrLWN+VFOiLqQgNxnBz/0SCVt9jnlRjVErRU4sKMGrmYaJzVZSoivAzdOJNkZ22Oz+hH23RiCVwxc3zdhZ9yfMDY6TtL8THXbUQpbxE1U6JGDTYzCi6Ib3tIOYVKjDrlofoSlS0TNhPcIj0tiaOMg4uPIiR38P5cOFA3GtbHLvtaurRI5NEtFpoP44/cf9xaLXbChbSr2H5Wt52Kfz1cjroqfciIyMpG6T6qRLkonZY0sF97rEKlL4fuViAK6HXCO+aC9pqrN8E1qVSt21nD2/m9O7ziOKIkYac66fjuNmSATOASY4+ZtwZGkKSrGYAqkJVk5GbIkeTbzmMCY2t7Aw34mR2W6OBp8j7LfSLB7uXRri1KI6VpU9AYgOTeb6qVjWTjrP6g+j7hvv4qYKpnsqUOaKuDaAVnMEmn/7YtLozZ86i55NO6NUKl/I8f9ziBJ0ommZHq865ZAjWq/ZegCwdjJHY51Jj9bvMNJhP5XcWtG4RVMAftu3iZDUCCo3dWRZditSVWdIO2/OnIlf8OEud0YsaE7izQwuhF0gPvIO53be4OjvV3CuYEmdNgFUCqpAYFNrKjYrXTSJPq5l32Q1c3vvRaHJQK0rIDEulaQ8Oy4WDKHF0BsYaw2Z1f4gSqPTmJvtxaVOCplJdYiIPo5BndUA6FRK4lb9TPrR3fgOboPvkLYIEgkFmSXMeyuM0F0ZD1zniU1XCD0SxcyqqeTf0d1rrzpIoNl0gaqDym5Q79jwB22rNyPpduKzTP2bh16zgafLUw16MX6lObRnP/7W7pw6cvylntfJyYlGjRrRrmU3lDkSNn0WS4eKfdnzx04ARn0+ird69iYvXcWUhis5vvIASbqbxEbdZuMHN/mtUToff/Yui0PHMCeyMRXqWTFxd0s83aqRroS8NBWqEhdE1GSk16BI2whVYWuii3/nwNxMipXF3MhWUvfXCRg5lAq9k7sTVkZ+ZF915thPyei0f310fRvk4egQTtHNK+RfOkidMTocqpZNfIsLRRTZZf8anDp8kgunginIy3+CGX2TkfwXcp56C4IQDcT+rW2WIAjflcNw9Jr9jGRmZFLdLYCpn04q76GUmcHTWrMqbArVvJog5psTdTaHjeNu06l2Z35Z9NN9fT+eMY47RFGkyUdmJFKUq+LmxUQu77hIjdYVmH96NO8v6gLAhqa5rKiURb3+1rw93w8A/9ZSqr+XRFZKAbYWXsw5+i7LbnxAql8gl1OaUuUDH2RmIutuDOan1NNI7BsTvVnJpTkJnFvRhKRLtgCo7iSQcWALKVtXUPXLgWw4bMdQjwVEX8zk6r5szm1Mf+A6v9w0iOEff4SPn5bwr6cg6nTkXTmNXJJKw4kSTB3Kpuu5STounD5PZFg4yQlJzzL1byB6zYanN6r1vMLk5+aRn5tHQf7TlzF9Gqytrdm/5yDdPvalxOIKt3d54BQ1lvOnzgKlWUK+2jSIDelfUtf5NN6WK4nnOpejLzJlaT8Wq+sS0MEKJy9r9v8vgZXv3cQxUEqJNJUSclBn3GBwnRmM6LmHBv4fYSI5g7FDEp17duW9k/788eN+vugxm20/Hbg3Jq1GRKuS026CHXNu1kci/Utcqzc8hb90NAk/TSL8w/ZETh5c5mtdUE/BVJci1Mqy2SrrD23hUsp1HJwcy3yON5s/txLL8nhl2QSM5n6dnYW+EMtrSUlxMRmp6aSnPWjUvcq4ubmx9uTXqL338MfMywT/z4ziy7U4eejYff2uRF3kFmcotlFTu1U1HDysyDNews7QGWg0Gio38sTE3JBihZZEaSKZjtEsHn6CPQvDAZDKBY7s3U0x2Qz9X32qNnfHNcCCt3uco2+dH7AqPEjrOTCyy098VHch2vTTWLueovEMa3pvzEG71Z6E7wdi6lOROlsuU23BFgBSkm9xK/EEZ44e4usLtRj2U8AD12hibkTf/7lT1fYT0vbspiAylGsjmnChsy8lWWX7/4rcp2G6p4JGtlMIjg+lXpMGzzjzbxp6zYYy+lQLgnCgDG16XhF6DuhLp17dyqX86oCKH1OYq6BEpcbOKYi3xtjQbeKMe69LJBLMbYwZfHAhMZsrcWNNFBlHDHH2sKdAp8GlviGqXA3bvryNUqUhPiKWnNsCXpa12datIXYeu/BQfMTthP9hZtqYRvPaUMszkLi9StQRHvgH+VGnTRBKhZJDiy/Sakh9NmmHIQgQczkLa1cD5IZS1Hn5WFUNpPnedZTcuU5k6AG0KvW/XNn9+DSVYuEiIi3jTbexiQnGJiaP76jnLv+JoJeaoige+XsAlSiKuYIgWP/Le54Hes1+Abi4uRKnSEMuf6WNgoeSl1lAQmwMEhKxMjnP9wc+wK/2/Tf4HTt2ZNasWXTv3gOdTkQqFXCqGIiYns0gr2/xquTMrEOjyYhVEhORjcSgGB0aIk6lkHA0gJDvc+k9vB05BTnIIp2YbaYjsA8kn/qKirW9uXa0I9GHpDhGV0VlYsIdcT6B3Z35o0k7MiWO1KkhYKpWc2NtBp7tqyC3Lv3+f39hGMu+NKBN/8Zk5EVQfNUD35oOGBjJKMnNQ5GQhFW1ygA027kGTZECYyc75I7eKG7HocnPxcD28elSrT0lOFQU8KhlgJvnwzNH6fk39JoNZTOqfy5j2/KynlTPi6c8DGqAmi2qoChQMHRad9wruHP7ehpRF5Kp1NDzXp8RAd+jLtbwW8JM6gevIyQyhXXnp2PjVOrGdPDdNPx0DlwQz3PzVAn1DZuSqy0EIDvRGSeJCrmgIrewC41GtkRbImWa+aeYS0yIyYvhf+/9RvSNSOIzLzFo51d8eXogF3bcZk63I7QdYEnLKsfJiFCRfvQMzfZuxqFdH2LDWnH2d0vsowqRW6ixdfr371DvpUYvbhL1lEaSv9orGmXhiCAIPfib64UgCEspzYX6ItFr9gvCwOD1NBp8qnow/+AX/Pz5Vpp2q4OLjzWhB+Oo37nivawZpqamfPbZZwxwn4mBoQGrYiawPeQ8JcUaBnnOuOc65xJoSr+5PtyJS2X/sgSiz2ays1MqAAGOjljn23N2ZwqIZoRvSAetMxeKm6K7EU9muCEWskQ0BckYyr1YMnsutoIHhTo5u/Y35quqX5A+awvHjaSMThlZOjYRPlk4gj0bdzNl1Fc40JRujSowbH5tIn/YQMaJMzQ/uA3LSgEY2tlgaGfDtoEiSl0UvU7lYWBtW6Y5cqokYWL4q+/v+6qi1+xSHmtUi6L47tONTc+byNR1Y3mn7XC61+qCl11NxCwPBFHKTuU0DIxKv3DWjmZo1FrS0tKYtnU4Lrr6xJ0fwm97j3D1eByfzR1OQpgMqxsu+IkyjDAmsGc2jb7MYV/37yjIaIFMFsPNQit0WlMM0JDFFYqlnphb2nLnsjElSmu8zVrQ4dPSLTzv6rZUaemMc9EG7mxag8vI75HIDDD18gDgzjUbMiNhXKu5xKZc5ljBFoxM9IZz+SEgiq+9QI+mtES4tSAIGylNyZTFg+manit6zdbzT+ZNnMuq71dhJfFi0fGpzH57Exd232TeqVFUaex1r9+NGzdYn/wVNZxbAhMAMDCUseHO1HvGd8jOdNZPuEnL0W5MOdyWaV3XkusSS162CbZWdnSc7I1VdYFj31zDSLiDs+8ONtwoxOpOdfwsLUgrvE2GsIcgt1rkRWRT1d4ajcIIaz8nfOupiVymJjUvn3W9bxJQYycfTQ7Gr7o3n89uTt3qVTEtqINj2gKSVh7Cs++nyIyNMPFwu+96k86BMkuKzNymzHOUmZaJoZEh5pbmzzzfbyZ6zYbnWPxFjx4AnU5HcbQnPiZWVK5vRfZtHa37NrtnUAN8f6b0Nz/yegTWFlZ42DvgVsWM5AXZpMZl49zIAM9hEo6P1eAz3oY2oy2wqFCBFWPPERtTgYqm2ThbDaShUQNcfBfRkM8ouh2OdS0ZucH/Q5kvx9P/PJm3pJg52hKysIjCJB1TD7enJKMahZE9sW7SCd/3/nKb6roS2n4Pn/TPJifpFjt+207f0f1e+vzp+RMJovh6u8uIohgHVBAEoRfgDWwSRXFrOQ9LzxuCKJYutgmCQI0GNdhpuxs/rwBm9tlAYkQGHd+tQ4UaLve9R12ixtbCmm7vNr2vXRAEinLVCIKAZ01zqnexotlwV/ILMinMU+D+gYSo2YXkpJohkQs4tpFyZfIVKtWzYFzwexjMuMauqVmYF9vhY3kZa9PdVPlmNNbDDfCwWoChdQpF2bWInHCJwTeOsP0TJSGbTdEEn6JGXS8CrbsTOeEiFdKrEZ3mR+CP8/DrWhUjZ3dcu3R84NpHh4GoBYmsbAGKKqWKZq5NcfVy5WD0oce/Qc9D0Gs26I1qPc+RNWvWMGTIEPq7T8fS0p7ZOyYieURuUYAhHfphmKulU6fufFblNCZm/oz9vhXRJ/NZNvY4Psb1qVzTGIkunaQdVxB2LEe0mERGsZSKLY5iqfDg4hZrTklP4WX2A0ejzlBQZSLDB36HqX01TvySikugKesH5qJI1dFgmjmGDq4cnGfHqXYKxl2So4iMxayCO8VKA+6Eyhk1+R3SMm5Tsfqji8foeRn8J7YSARBFcUt5j0HPm0edOnVISUkhISGBdr3a065XewDG1v0RRUEx7y3sjNzgfhNgzsTpGOcL9OnRGyhdJNFqtWTEFvNF1QtIZCKBHUTO70ig+xQfqrf0ZXvh1xiZGtDiLS1hv+hY5ZeIcxcN1Vrb06C5Bk1hARWqaSjhJgqxDhLJbRIyzqKed4xGw3fw5cq6FGgVLJvRC0EAW2cLes0qIKL6BeRnLlBD2M35q5NJSPOn4diDWNy0xaFhRab6llB/VDHdF/zl6pifoCZ2QxQKrTtB75hjWMbEaAaGBjTp0AR3b70v9dOj12zQG9WvHcmJSfRs2YmRH73HO2NGl/dwABg/fjzR0dEIKg1mMkNGrGxIs+bN/9Wg3rpkL7XrNEbSSMcva38mmhOMDFjB2rFKrOzMsZJ7YaEOYN3gTHRCIR0/KyAzqzuiMhBD85141D5OicKSOkesKVI3IEM7nBPxa3FCpMlwO1R5ImEz7bi6HPoctSZ8ZQ4b68bQdZ8nEjlIDSB5VzgRc4+h0gWSp25AsdqSTr8EsSNs579eb1ZGJjZ2tvqSuC8QURQQxddTnu7mOB0F1AFqUpqe6TLwnSiKLzclj57XDlEU6dWqM1bWVqzYuvapjnF4/0HS4xIxtTLn3XffRaVSsXZt6bEWnHsXUScilT1Y5Kr7gN7IZDIkOgMWjV/J76d+JjziOhPr70epzkJUa6jevjqF2SUUJhowvtsl7CorGbuxHhcWyLmxTUBqZcXB44dISo9EPNGLovWdUOWGYy1dDWpTTAwuUSS9jUe1vbgEnGFYRTsuhQ/DssHbONct9Wku2hSIm6aEO/aDsKlrSO8FtqiLRGwDB5LX9jZXv8tAamCJ9B823I5WYQhZJ1BofClRdqH5N2XTaIlEwk+7lj3RHIuiSHZm1r1iOm86es0uRZ9S7zUjNzuH+OhYIq+Fl9sYNGoNxcrie8937NjBzp07OXHoCHYWVrRs1RKp9NEfLXWJmqVj9pG/vRND+33DsK/ewsrKmvafOhAnW0FqRgwlGvB96wApmniUWi8urjMgTdkFBAUZShvOLWpF8NJOqDUNEDXVCeyylLXLRrD5TKlBrMqB25c0XNmiwdJbRkmOhvw4NcXZWt761pDv8s2oOMQP/3eq4z+kMrZ+YOoMFTr8e4q83Zt3UN2hImuXrX4+k6nnEZSuepTl8SpxN8glHngXyKE0QDAOaAvkCoLwTvmNTs/rgE6nI+xyKFdDwh7btyhf8dD2Les2UJCdy4rly9m+fTvbtm275w4ikUgealAD9BzUh1W713Ni83k2zN+JoJZiZ+3IrdN52NVMx7LtSXxr2SHT2nFgZg7pSQWE7c8h6lwGbedD/fFKMrPluBg3xlseRL7Wk7i09zHEgUZWwbTv6UdC9gKMjNYSuq0nJxeNRJbqjptuJBem5ZReU24JGTmdiQkbiOjcnwyr/3HnJthXlaNTi2ReUZEfrWJmrhld5t4fkF/1Qy+wCURlWBu/Tk8w6U/Bmh9/pbpDRfZs+fdFmDcHvWaDfqX6taNyUFUis+KxtLIqtzGMrDeRiOthaIyyWXl4FZ++/xFR4ZG8P2HsI7OO6HS6eyvXcgM5o6YPYteUXDTFOto36YarGERGTDqZ6itYyF1oaqjFThVKIz81BgZqqneN4/L2MExNHBDTr+JZ4RjqYjkpzhJupWWyZq0/rJXRYUw47yyqiyIuEYXEgpRriajSbGi20IX60xwwspFSkKQmL1qNW3Nz6s5tBUBMAx3KWyA1+veVDRd3V1w93fD09Xquc/qqIIoi097/GhdPF0Z9Xp47Ia/fVqIgCDWALUDvh/nhCYLQGtgkCEKsKIrHHjiAHj2AVColLCXqX3f6AHb/epjv3lnCjM0TaNGr4b32s4fPcmFbKDNn/Y8mLZrz+Yfjyc7KeuTO2t+1+U/6ftoFF18nWvVpRNyFIma2vMSd4mAiDl7Ex6YFUaeteGu8NT6NAnGopaBaaxckEoH8o/txMvCmzZgMFDsGkJA9BM/6xmSfsMfKZhZmDtbEy6xwNCggqMaHFBQ3p/K0piSFFePaojRD1LGvPsc4JwpJzdW4NihgYasCLKxTmHDdCiMnN4Yn+CORQ+6tElTZWpzqGd8bd/WxdqREtCfhV5Abv9idRM8K3rh6uuHi7vpCz/MkKBVKJg39nDY92vBWvxd8V/EAes0G/Ur1a4m1jc1jBfdF4lHRFWtHC4oKilApVaxc/DPrV/yGnb09Hl5eD/TfvXs3UqmUlT/9xuqvDpGZnEefyXVZrWlD/b5OrJx0gPUzjuOcZYG/ZCQ26vZUetuTy2fmkhj3Pyq4rqfSN3tIEaJYeOkw1w39USksKS4yoSgtnZaNviCo0g1q2DTCycWMTfN3safbPgKMN9HcK4jgDv4IEgEjGykJVwtZXvUWO95KJieq5N4YB58Q+DRNwND834W4Zv3anIu/QtM2zZ/zrL4aqJQqNvy0gd8X/17OIxEQRaMyPV4hZvEIcQYQRfEwpVuMn7/UUel57TA1NcXY2Phf+9i52GDjZIW14/0LLCqlCkWhAjc3NwRB4NfFy/h10TJKSkoeOMbixYuRSqWcPn36vvbCrGKy43Ro1SJWXhrkNQ/Sd2RfnGjGjf0iAnK8apnTfY4D0nM3ifzhbnCfb0Ny1V5ERtbgpyvDWH4zhRsntRQVmqDotJYpS6fi3dUYiSBSojRCq8zgwKQ6XP7hDonft2bX7EV42B+hUtVLXP0xiWVt7almuZYGDjUIbueLqNMhNRaY+1YYvzeMZ2vLJFQ52vvG3uFHgU/ThTJXx31amrdrybn4K9So90KT+TwRSXFJ7N+8n00/byqHs+s1G8q4Ui0IwghKoyDz7y6VPxRRFP8o64n1vL5MW/cp8CkajQaZTMbmQzvIzsrG2ubh6YsMDQ0xMTEh8WIhZ389hqGxnH5fNEciKRU9//rOJNxKZsGPv2Ik1kJFGuYdGtDIOobVc+M4cCwdkxVx3I5zQiCdi7eyaWDfEFFjQJIilzryXBpa3SL2dgTrZ4YSVxhK72a9sArLQJAKoFagTI7n9OEsVn1yEbuCIGo2csDC66+7aqmBUOZCLv9ljE2M2R2+BxOz8o7ifi3TM9UWRbHdv3UQRXGLIAhP5rz5FOg1+79P/fY12XVn5QPtLTu35Lo6HJms9Od95+mDqJTKh+bYNjIywtTU9IGCNtsXnmHn4nO4+tuRnZPMzcsx+FX1x9OrAvIiOcVoubArhgVTvybgTiLVzTKwa+rN+o2nkWCAenVL3IWpxGnHsDTmJDKJwNCUVDBLpEpDX/wG/Ezk1HFIpWkkX6yCb8AmjDWnuLg6j6tOrQnKaYRpQTQl3m4YibkgCqArYWrQGMyrt+TmKTu8HaD1aHcMre5fYBIkAkblt5FbrvhV9mPzxS24ebs9vvNzR6/ZUHb3jznAJeDK3b8fem5AL9BvEH+KtqePN54+3o/sZy1xpLG8G43bBVGzdg2a9a1GSkIKA5sO4O1332bbkhCkmKJAjYwC7rCNhX0u8XP815w4oEIINyLj6HzaWgWj1rWiSGtI1Y67KFYZs2DGB9heV+Mru0WMxUoy7/hTgEjISRd8Df2xlb2NXB1MyFcbSfeuQ1ZOAvV7NCMpzBFlPpiVQ4yJTicScTIVv3r2GBq/eh5YFSpVKO8h3C0k8OrNzWuEXrPfYP7UZoAKAX6P7Be27ja9/UdRp06d+9r7ftEcj0oO/LxoNqlhpSvc11Y7ohNtyCAcR9M6nPw9miQSsfT3RerWjfA/3HGyUyHkJuHs1pXidBOm9avBt6uvIBGsUd3ZhTyvB5HbjjL/6DmWTtmLVFATdS2NzPi6rM4cjJ/DeY5fv46xtCOxJd4U3krHtZI/RcpGWBiHcuOmAW6WWSxO7UpGlMjqnmoMK2qoNfDlGnPFCg3RFzMIbOJ0b3HoVaFq7arlcl69ZpdSphkQRdHmb3+X/y+untcKRYGSwjwFarWaTu81AyAlOZGU2ykkxCXSYkAVok4U4qtriqGRMemxfriLbbn4Uz4tO7mQZHKZsyEVqN3sCu1jZaRe7ULwZhuKgtIZ3f936ta8SdYZ6CbPoiirJrKSJtjIY7GWNCIhegoFGnvq+C3i7RUt6P5xIzaP0BEfr0WtEIHHC6JOJxIVnI5vHTvkBg8P8HkSTq+P5YeBJ+j+eTUGfFf7mY/330Qv0M+CXrP1lIXstFzyMgvuBTH+ia2zBe1H1ubrz6OwsnHg/QkfcPEXU7JzEnFz86dhJ28KMzyJDDUl6nQuCZIh5M2R8Vb9i6RHRRGirEvzt2ogM2jBh4HpnLgxHFeDPdQ37IjmlAaNehV/nP2Y5s678XToh864Eq0HnkObriUgLIvghCCsPavgUxBLTlwTVCbjCE9sx3vjcmk63QapTEqqSkv+nRJyEnQvdc7UxVqWDD/F2Y1xjNvcgga9Hr2g9Gah12x4hkDFuylIWgM5+qCbxxMdHY1KpaJKlSrlPZSXTtNu9ThevAm5wV+rCQFVA7iUdxlTc1M0ai0L2xyjSgMf6n7kzEi3KK5qfiUgpTdF63QU6rQsK57DtuiaVLf0pbpoRFJUczaFfc6vU9IwsIa83ABSb3XD3rKEoxm7mDB7NpU7erC1fRqS5BIqDGuHIAiYmBsyaL2IWgmGpgKZMTrM7AWMLB5tXJ9YE82SYafoN70mvSZXf+b5CGzsSO3O7tTr4fn4zm8sAqL47DcwLxlrQRAOlKFfuWxO6zVbzz9Zc3UBolgaHPlPZDIZp1PPIJFKuLQ3Gp95MrhWncIkDc0m25ESlc/xxiFYepRwKmseny57j+K44WwL+4FL+QPQbZuDvdSP00otEjaRvM+L+nIFBpgwbvEQanZzo+iQFWlnv8bY5BymdloKlMakxXWl9cS6pHz/FlZVqpBYcPj/7N13eFRVHsbx782kN1IoCRACoRNqCL2XAFIEEekIqIAVO2WxF5q9CyggiogggqiAgAgiINJ7TSihpfeeufvHTELKJJkkk8wk+X32mWfJ3Hbm7s6bk3NPQaPcIiIlCMdanmisdd09GvbS8HaME3bOuvJGX9di46DgXL1sW443zD/OvrUhNGjnQZPONcv0WhWLZDYYUanW981rr6rqYzneawfszPFzBLq+KXHGXriq6dy5M5GRkaSlpeXrv1YV5KxQZ3F21aXh0W3B7Nizi4P7ztJi0oOka9PQkk6LEdZcz/DgwCpHvGhJHVs/YmPsOFZ9B3WapOP3byf2fD6VTj1GkBjbhtDEVjxyrDcjIkbSur2u8vvQsZpEHmMepJ8AACAASURBVL5IvF1jvp15gQfm+2HvbI2dE0Rf0/J241jsfMKZc8AXN2/DM5c061aTNgPq0HagaUZ51/B1Zs4vQSY5V+VW4Vo9lhq537KyLIRktjCWocp0TvYO9mRmannjvu+wd7JleK2pJN7K5NTtm5zYeZO4yFS82lhz83o8Pj0y+ezF1qTFdaBB3VuMXdCFm/9GceDTGtjgiqoqRPf6mxEPDaT96KYApHtbs+zik3hrfLg4pytt2t9DLd+N1A2YQpJ/K1xbdqBVp7qEfr2Glt1fp9Mz83OXTz+wPD1Z5W2/JNx8FF4KdirycydEpbP901B6TPGmer3iDZxrN7guFw6EM+3zLnjWLfpaVYtktjF3YAawIM97P6IbBPMogKIo6/SFk3WdC/DCCy8QGRlZoSrUqqqyevVq1q34nujbEew4utfgYJfCXAu5yolDxxgy6t4Cp3Rq3b8+7k71SUnM4L3RO7DGiZqu/hz4IYWp77qQUf0qv753iyupGQxs14uFh6eCCmdX3MLBM5bkn22o3v4PGvYPYtOXf+Lq7pxdqbZxdaJW7zZ82yqMa2e1tLs3jvN/x+DkZk3fGT64No0m5PwN/l5px7C5hluOvRtX4+VthY5lECZnhVY1/EeOpcrKQwsgmV1JqarK999/T9OmTfnw1YXcunmLPw7tKbJynNfN6zf4759/GTZ6RJEzSWk0Vvxv7VjiouMJv3SKiz8ncOfndNLSk+g+piVD36hO/XoNCDtrhat3MhFpvxAbGsZ3bxzm8wsT6T0JbFzdsaldH3vNIRTHetnndu86A++mX1K3fgMeeL8W0ctVsHLBvX136n+whQ+f+JL6BzbiYtubrWv603dJBvbO1pzfG8PWl+Np2LQ2gz+1QmMHbUZpcKtn3KxY//0Uzs+vXSEtWcuYBQ2Lde+adKopvw8MkswG4yrVAcCOrB/0LR5+qqrmHP2wANhu4rJVKnPmVLxZtEJCQpg0aRLODk7U1LiSmZlZ9EF5vPjIM+z7829++fcP2nUMyLc96kYK1vZawhNPkkwoXOiJgjPnEv7m69VvUa3XNzRtP4BGzMDTI43mXW6TFh2LrXs1LoUnsH76dWY/7kFtr9u4ON9g0TPHcPVwZsKs+7KvkZECaRdqUs+9Ok16wOIBx3Fyt2bQs/WYtd+Hfd/Z0mV8rVLdK2FaMuilVCSzK6lr164xceJEmjdvjpeNGzeuXUer1Ra7Uv3yk7P545et1KhVg659ehS6b2aGlpbdmjC14xNE3IyiPo+g2Ebj6GrDX/Hv8nzTn1n/xl68anTgzmkVH+URvKxjadWzPgDVO3YDICP8PQ6v/45PnlpMlwmeTP+yBRorGz4+PZtbfx9i79AhBEyJQeNRE1Wr5Y9nprJnszU2bf0ZNqI7Ab3bYe+sy4S/lt0kYm9dEv6xotsscPdTmLSm8CkIc+oyriaZaVo6jJLuG6Yima1jzB2IBdyBrMeEY8gR2HrRpiyUME7w+WBs7WypW79k0+ecPHqch0ZO4M0PFzFo+JB82xs0aMBHH31Eq1at6NatW7Fbqa8HX+f+CWNo2zGAFm38822/ciSOlwMP0GaAF10bzCLBbw397u+Os11t/tn0N/t/0bD8k9WMqjGY+h5defSL5Xj7dOP3VgNo+uzDhF3uAKoNe36ZQ33P9Ww/XY/xMzoy7LnWAFw4EEZKYgat+9Vm7B/JnDlyBmjNG4cDsbHXtWg4udkQ9GTZTD+UEJ/AyYMn6dSnk1nnFa+QVCpi/zxLIZltAudPnsfN041atcvnD+43Zr3MX9t28svebTi7uBjcp169enzyySe0atWK7t27o9VqS/T088n/PYtPA19SE9INLv6S08onzvLXsht0nziIE79F0+f+hnQaWwP/vp6sWAHnd1/n4nw72u4JZ7lzK4bXWkzLegOI21+H2JtaqtXWndvKOYiYuFDQWnPrQhI7+48nJSwCddonbPrfQQZ4Nmf/5mkM33YfanoqLdO3cF+bwdy/chEN2tQkLiqeP9f9Q88RnZjwQWNO9UvAq56uQl1c9s7W9H/CHNPO6Z42/LvrAC0DW2V3gawUJLMB4xZ/WQcsVRTFRVGUfsAsIO+cfQHo1kkX5SQjI4MhzQczKvD+Ep/j9s1bXL9yjcsXLhncrigK/Xr1wc7KpsAKdXJSMn/8tJ2U5JR82yb2msArD7/KzHnPGVxpsZqXLT6tnXFycSXhajUmP/osQx7rQOcxtRkyozf2dg40iXmMkL+sSIlPouXopahOXTmn9OCn9d6kJdnRqK0Vft07cznlQ8JUB/xa+lKvSR2SY1TmD9rFG/23kp6WyZ9//szC599i66pd1G/nQp3mZd8X7r057zG1/xR2btpZ9M4iDwUVjVEvkY9kdilFR0QxvPW9TOk7udyuefLIcc6ePE1SouGlx0GXyX169MIGDRqNJleFOjUllT9+2l7o8VnadWqPneLEY/c+xrb1Wwvdt3FXN+q2cqZTp0HUiBlLQ/8G+Pf1BGDq1Kn8tf1ver/WBCsXDW1SnsLt+iDsMp24c07l92f/458fL6OqKicPOFGzzVwGPlcHK8WOUwnDcG/TgoxUK1JtXYlv8QVJPl3A0QfF1p5Yv1+5cmYIXz1+kKirWpa+vIaXR7/LXxsO4OxhQ+cH3anf27KmszPGX7/9xZR+U1j4/EJzF8XEJLPBiJZqVVVnKIqyHV3rhwosNrBgwCJ0q86IcqLRaJg0cxIuboZbNIwRNGQQp8ND8PA0vGgLwJgBI4gICyc48TaOjvkXBFn7xY+888K7zHr/RSY/+2CubY+8+AjXg6/j6JT7uMjISPr168fEiROZf+wFTuwOptPUeDKTU0iNr8HXw5O5vNuZp73+xepWTRKxIjj9B07vq0/0dYX/bjTF+aYztud3YZORhsZ1PyMnrCdx/TQaBdwDwPzGiXhl3kPvT0OxsdUwYEIvosPi6DIk/xR2cVHxuLg7F9jnu6SGTRhG5J0I2nYp/YwhVVFlD9+yIpldeq7u1bhvyn20aNei3K75/ZafSEpMpJpb4RMNZGXy5YRbODndbRxYv2w982cu5JkFTzNtziNFXm/IuKHcDr1NQHfDKwJePnaTkOArzFz0CMP7jcQjwIOXgpvgXk/h1vFUklMS8evkwZ9fqBxZbYXrxy4EtRhH9Ek3zu7bSB0nRzZvuUX0j7d5IX0k70xch2+NXiRH6Bpo2jSphmur3hw6lIkmpQ4+DSbSuuEfXNu9hToBvbi+6gKdvO1w6NSZt/2S6PvGUNRHtQT2a12MuwrJiSlorDXY2lnGeKbWHVszcNRARjw4wtxFMTnJbOPnqQ5SFKWa/t+xBnaZoarqnyYtmSiUoij878N5pT6PZ3XPQre/vPhN7ty8ZbBCDdDvvr5cOnOZfiP65ts2aeaDBo6AqKgojh8/TsJlBw4v1hIdHkOE7UHupB2juVdvvDwaUV2dx5Vb52hoc4Muc+w5+1Z1FoxZx9Izz9JzjAe3jtyhSeIKULTsveFD3dS6tBzaj4adXQFo3CMdVWPHoCd0vxTrNanN+LEP4myTu8V9988H+N/IRTz/2XRGPn6PwfJu/ywUazuFPo/knv0jPiqJpwI/o8uIFsx4P3/3mYCuAQR0zd+PvKycPHKc1JRUArt2LLdrlh0F5FFiiUlml45Go2HBivJtSbSxsSmyQg13MzlnhRqgz719OHvsPAPuN25modYdW/PRuo/zvX/xcChzen+HkupOaPo+znKWqLOrObH2Bj9f+wpQGBkwnlDtbvaFHOGbLf/DWtuctrefxzk6mQh1A77UY2/8H9hXTyYu/gqhV9rSc3QrOt/ji72NGy0HuLO11YOELDvPPW8vov2I1vh5jSD56GV82jXB1sOBvmvvxb6mA+EhyQT/bkXLfjUY0jn3uLKMZC2hu5Px6euIxjZ3o8ju5TeJj0zmvVf/h08jbx57awYfPrKBV36eiH83801n6lnT0+B9r/gks6EY858UEMxZ28r0+bZ+ichFqqoG53jPDRgNBAN+wI6c24VpjJk8PtfPqqqy7adttAxsSd36dfHx8+Gtr98o1jkbN27M2aNXmN1uM9EJN6nfrAGJ5yKwU65wPewUKWlR+Dqew1mbgV/9hjTz8aTfwItknrlJ2OZN+B8bzbCZbxB+cjSRx35BibxMzYf/pplvfQAij95B+WstTR9uBfQB4M5/KWwacgPfgY4M3XC3cuzp7U7Nup54NzA8YEVVVb6deRFbe6t8leq0lAzuXI3hTohpu6eqqsqVK1eoX79+sVrPR/cZQUJcPCHpt3OtqFYRqShosYyWpYpKMrtyypvJAH9v3YOXj3exs9iQq6fDSUyIw92hJs+8PoXDfwcQdTWJ6DOeLJ9xhke/aUVA1wA0lyKx1lhzPfIQvj6x1LNLwydAg8fhAajxKfTp0oHWw2oRfO4Cznui6Oysoe+UZtnXafvWw9zZ/hsNhnagmacHkf804uyqy2RYfUbTOe9RJ6g+YT+/R9xnC/EOe5krXzbEt3Puxovjn8Vw4NVIen1Yg5bTcv9B8v1zl0iKTadRR1/qNvYm+nY8seGJxEUW3T1GFJ9kto4x81S/YOzJVFV9t3TFyXft/uj6/gWSf/LtRcBsVVVj9PuuAx4w5fVFficOnuCZB56ma1BXlv+xosTnadbWlxXXHyYxIYnIYC2fjPPCMc6V/iPv4fYuR1zSfLEnkNjgW9w5mEqjG9v58VYNUj93pGfDDrgFdKHhk/0JeWMjDc6dwS7uX6A+AHbVHXDxq4a7/901yD1a2NF0vAuNR+ceGNKyc1N+vv5VgeVUFIWX9rTDSpO/cutZ25Wf41/F1t60FdhVq1YxZcoUPv/8cx577LGiD9Cb985rJMYnVPgKdRbVqCEfIi/J7Kol7FYY0+6Zhm9jX7Zd+KPU5+s3qS31/Wvj3dAdB1drvn/rDxyc7Ajo2ZZ2Q2twZlc0dawH89r+54g8bcO45tvx8U5i859f4n7Zn3vHNeX6zzfo2aE7AePdGGTXhQ0+/YklnrTo+7F1rwZAk0cG0OSRAdnXdfRthIt/e9w79sp+z0oJx9Y5GSfvVDxa52/4aDDEiYgTqfj0zz9GZvb2tqQla2nWs1/2e30ntMXeqXgD7oXxJLONa6kekOdnP8ADXWtDlqxBLyYNaFVVdwA7FEUx9DwrMCuc9aIURQlQVfWIKcsgcmvWphkPv/gwfYbl7+5RmPi4OJxdXHK1vHrUdcADBzKT4qjr3hnHxNZEX7xDeHQi3SfbcnU7DF9ZE9/eGi6sn0Ls+N1cCEll/83+fPx6MzwBr7GTSbt2kZDLm3nx/o+Z/82ntOvSjhGHcg8wsnW2ov8yr+yfVVVl4XMLqO1bh8nPFD4YqUm3gh/J2juaPqBbtGhBixYtaNWqVbGOmzi9/AZVlT0FVZWALiHJ7CqkhlcNZr4xkyatmpb4HFqtlqTExOyMbtT+7own3117CSuNFfFhWmJup3JkUwTndsfw77exaDLdiD3nTp+nHUn+MwYnuwiq+2voMNOLR3q9Bq9b8WvKfFq/OoOE4CvYVCt4DJB9HV8CPhiLxqNR9nvO/slEd/Tmr8wT9J70cL5jPJrbMXCVt8Hz+XVwzX8NqVCXIclsMGL2D1VVB+R8AUfQrdYVmPVCF+KHyrqwWfStIVF53o5BtwRvQcdMVxTlkKIoh8LDw3NtS05O5vTxk6YvaCVkZ2/Hi4tnEdgj/4C/guzZsYvG1ery6eIP821LjE5nRvu3+PPaEwQ+kcCVE7dxUL04+Z1Cr1mx+Pa1Yv/WQ9Qe2I0N8a8xYkYP3D1dcXSx59rmSyRcfgdrl0h8nVfTvtklwm6GGVWm5KRkvvnwG75+p+BWanPp0KEDp0+fpnv37uYuihnJSPKSqgqZLe5SFIXHX36C/iMKvJVFevaRJ2nkWodL5y/m2+bq6YSzmwMzW69ifu9DXDx4k05BrfjzVSe826g06paMs8aD9dGvsPjgeA69GcwX9+wkJTOaDKt4FEWh8fTRtFs4CyXH1H0J15PZ/egREm/qZo7KuPMpqRdeJPmkbmyLNjMFbdTHbNsfxx+/HuT4v8dL/PlEeZDMBuOm1Murn6qqITnf0LdOjDZNkYzihi6Qc4oEClwaSVXVpVm/UGrUqJFr27ynXqBf227s3bXH9CW1IKqq8sUXX7BzZ/lO8eZR3ROv2t74+NbLt82hmjW1m7lg62CDZwOFKA5wh22oOHPxmDXL5m5g1rD5vPzAB9hYg/0RH7oljSb+n2R2T/6df98cg6qCqnTghWX/MPD+gle6+ufzNF73SST8ohZHJ0d+PrqR7/asLsuPLkpBt5hA0S9RpEqX2RVZbGwsb775JiEhIUXvXE78GjfEp74vzi4Fz5vs39+dNCKp09qeoFlutB5pzdqPfmLT3x+w+ZWb/P2hyjttk/nb9nv+jF7OvU905pfo97KfTqqZmSSF3so+3z/PHOLaj3vZ97zuQYXGLQiNRy1s6z8JQOrFTcQfhBkD41n20zx6D+ld5OcIO6/ldZ9E9i1JK8XdECUlmV2yhdqjFUX5XFXVx7PeUBRlAeW7mIChOeDyBrbRBg0fypXLV2jcrEkpimT5wsLCePzxx2nQoAHBweU3Pqhl29Ycu3He4DYrK4UVZ18G4Ovu6bgpjfGo4U0SV9i2Ioqm7VOx1bjRdVAn/nviJZL3B9Pm8cU0fMCLlJvtqNH6IZLPWlNtwKfY1mpk8BpZoq6qxN1USYlVAWjetrlpP6gwGRUFrVo5+oZbgEqX2RXZxo0beeWVV4iKiuKDDz4wd3EAeHru8zw99/lC93nt17sr2memq2wYqRCmdcLF3ovIW9Y4uoB3SwUbt7pE77tG3fhqxB6JwL6bbpGVs+8u5fzHK+jy7Yd49e1Ku7ktORCdTLvZuhmarOyb4xhwO/saNjVPYuUCtXs/RIP6hmeSyislVpfxUVfU4t4CUUqS2ToluQOj0fWZG8PdUdwKMMqYg/UjwAuVp9+dIXkfI0L+QTFGGzDsHgYMMzydWmVSq1Yt1qxZQ/369Yt13JUrV6hTp06JVu46dfQE506e5f5Jo1EUhYMHD7Jv3z6eeuqpfEvr+nS2JurcvxyO3oV/+mNY4YDThRS+/ed16naqx+Xl0STfuEPH/3lg62JD23ndUNNcQOmLlW3R08gNXWjLgJdtsXOuPH8pT5gwgZiYGDZv3lzpVm00ZYtGcWejqGQzVVS6zK7IRo0aRXx8PPffX/jCXTExMaSlpVGzZtktpR0VEcmmNRu4/8ExuFbL3wc5y8aNG5kzZw733nsv48ePp03rNji3iCT6QBiaaqnQ8RtWzrWla637uX9eT/xPpBGzIYT/LqUzdPc4ANwDWuLStCFO9XSzKNUMdOfeP+92/9em/wQZP6LYf42iOGPtMYEaU04BTxj9eep11DA/1gnbsl/bSxggmV2CSrV+UImHoiijgAZAsKqqPxlzrP6YoibRjAFmG7FP3kD2BC4bU46qbOzYsUXvlMP+/fvp2rUr06ZNY+nSpWRmZnLq0Cn82/sbNcvE81Nncub4Kdp1CqBh08Y8/fTTHDhwgD59+tCmTZtc+w54V2H2iv/QpMNN/qJRLX+2Ov/L291e41joORo+NIaGD43J3l/NiIf0o0BNMGL8iaIo2FXQVWFDr10nPjaO5q3uLve+YcMGvv/+ezQaDRkZGcVeRt7SmWIkeSlmo6g0M1VIZlsWJycnnnzyyUL3OX/iHIOG3cONWzeIj483uCKtKaz87Gs+eG0xqqry0MyC1wI6cuQI58+f55133uHYsWN88/4WBi1y5+BTVzl+Yjc39rrjZOtOo/sm4TPEi/j7U3jz6zdZPOT97HN4B/XAO6hHwYVJ+wLUnaCdA5p2QHNgY7E/U2VqNDGl+Lg4Th8/RafuXUy+0FkWyeyStVQDoKrq+hIeU+zjDJxnh6Ioi/K87QasLe25RW716tUjICCAXr100xyt/3o9r854hdnvzWHqc1Nz7RsdHsv0TrMJGt+D6W9NAMCuljMxJKK10o0w//STTzl2/FiumS2iL6vsewe6z4WB9hu4xnmuWy3hVuxFuo8LJOLXCOzs8/9SSfrvFdJCwanz01glv4S1x/MoGvcyvBvmM6LnPYRevcbF2FBcXHUtSn5+fjRs2JAFCxZUugq1TumDvxSzUVS6mSoksyuGi6cvMrzNcLzq1qL1Pa1L9ISwMDERcUzrNIt+Y7qzctO3JNukM/A+3fzPGRkZAPkaTF577TXu7/cQS1/awoOzevLlwCTib6t8cH0uzw1J4tKxqyz8/UXa99EtJtZmfHuqb66Bbzs/o8uVfDqBzARwaJGAjVfR+4vi+d+TL7Lu2zWs/WMjvYKKN3uX8SSzK3IHmGBFUfxyNO/7VeRfeJaqTp06HD58OPvngG4BdOrTiY6983e3SElM5WbIHUIv3R2M0r5rB05eOI2rqytT+0/h2P5j7L39T66uCmc3wLHl4NY4E7vakZxJfBklQUPrJt1484OFvPmB4ZXNbH3vJTP6JIpVMNrIr9HaNkVTbZIJP73leGTmowRfuISzy90pqdq2bculS5fMWKqypKCqZdfiVNhsFIqieBS0Dd1MGqJkJLON4F3Pm95De3PP6HsYPsn0S1mnJOlz+uJNmvk3x9bBjlreuin0+vvp5nT+69ruXMdYWVmReNCXPXtXs3vkJ9RxaUlD3/E4OA1h2hsT2LP+MKlHm5EaqGLnotC9by9O3SneQwhr16NYu4KVa2PTfFCRywMPjiUhPp6W7doUvXOJSGaDhVeqFUUJQHdTAoG5iqJsV1V1qX7zNGC0oihZ/WdmmKmYVUpj/8Z88+cqg9u869dkR8Ia7Bzutpq++uqrvPrqqwB4+XjjHXoHaxtrEmKS+Xv9SXo80IrAx+1xbwDOTVIIfjECrb1CWmYkp08c5eKmq9xa+RYt5j5B9Y5tc13Ptk4/bOv0Q824gzahI1YuRnURzfbCCy8QHh7OypUry+xxmKk8+lzhj4srGxXT9s8zoLDZKIIL2SYKIZldes4uzny5eUmZnd+rXg12xOtyOu84jNq+dfLtn5mRydavDhF4f3OqL7UhOlrh6s3jWNGGsOC+dB/WgdR9geyaA47ucPtKKhGXtIz/1h4rq7vf4Utf/UD43wfpuGQBGgNPHm18tgHpWDkabqb+9NNP2bJlC+vXr8fBwaF0N6EK6tm/Dz379ymz80tm61h0pVrfinEEWGxgWwywNN9BwqwcnOyz/62qKo+Om4q7pycLP3uPRd/cffr7xZxf2PTJAT56fC1rbr1EKs5c/cmGV//pzOfd/yDF7hr26W5EHDpB5MHjhP9zKF+lOotiXQuNW8H9AQuyevVqwsPDWbZsWSXtPmGYqqoW/0cEgNb4gK6uKErOOZeX5qjIFaSw2ShkpooSksyuGHLmNMC8mbO4c+s2q/eszpcNX8/ayoYP/gGH7/kt/Dc0VjY85vQf7jbN8W6se3LW4XGwd4Nm98FvgRlEhag8sIRcY1hCN/1B9JFTpEbG4FinFnlZOfUutMw//PAD//zzD2FhYfj6+pbsg4syJZldsnmqhcjl4umLTOw1gZP/ncj1fkZGBr9v2MyWjZuz39v7x14+e+Mz+k8JwMpOS2z6dU6dPMWWeWlsfyudGvWdGPS6LRM/bszzh73p8FIQTee8SdLZLdxZ9yxHpg3i8ievmaTcR48eJTg4uEpVqC+eu4CPrSdvzn7F3EUpnAqqqhj1AiJyLmxiRDhD4bNRyEwVotJZ8Ox8Xn3U8Pf+15828vuGX7h57Ua+bYGDm6JotEQmn+fA/v1YWUOzlq1RMzRc/TcTAFcfhW6zFezdFGbuc+B/lxxzDRiMORuJ37Tp+D00GjuPasQe3cLNlVOJPfUfB0YGEnN0f5Hl//XXXzl//rxUqC2VZDZg4S3VomI4fuAYh/Yc4r/d/9GqQ+vs921sbDh09TTWNjZcORfK2UMX+WLxB1w4eZ5hE4bxS8JbNG/WnJ59enL+QCTEu1LNW8OAl3RT7amqyo+jrxK2JYlWgRFk+m4g9TKEh9+h4VOvlbrcXl5VbzSMtbUGewd77B3si97ZzMp4ptnCZqOQmSpEpfPzNz+TnJjMq5+/lq/bx6QHp7F04RJ2bNxJPZ/G1PHzpknbBgAE9G/EpqQ3+HbVt/QL6s/rr7/OM9te4sp+LY365F8d7/p/mdw+o6XPC7YoikJGcgabu61GY5+Jg/IjHu1bkbZ/Ag6u0UTHQPzpw8SeOIhbuy6Flt/NzQ03N/nb1pJJZkulWpjAyKn307RNMxq3bExYWFiueVVreesqrg80uo/UWJi1YgZoMlj8wiLGzBjDlKlTOHXqFA0Dq+WbtzopGv7dUB07m040S7hDmk132n6zHGu3u+eP2fcTSReewGuMgmL/F4rStHw+dAXVoFFDLsXdNHcxiqRStgFd2GwUqqoekZkqRGWz+eSvZGZmkpiYCIBLjkHP02fPwK9pQ75891MST1fDq34Nvjv9EfMe+h99h/dj6Lih9OjZg969exMUFISrtxWtRxp+0P3zsylEXlYJnGiDq7eCxl5D02mtsXbQEnPgCIeeeJlOiyeRHnaKuo9+inPLICI2vELGiC/ROLZBsfmhXO6HMC3JbB2pVItSs7KyolVgK8aPH8+aNWs4ffo0LVq0yLVPqkMYCQnp9BzWhfeeXMqhjSFoND/x0fqP8p0vZJdK/A1oPVHh4U0O3Fq3liaNQ7B3PI9dzRpY2VXL3jcl5Dg2rndQNIAajVZVyczQYmObvwXFGMlJSWRkZOLi6lL0zqJMlcOaaIXNRiEzVYhKpZa+H7OnpycajYawsLDsba5uroycMpLNG9Zz+NwFOndqzM51e9i39iLXztxm6LihNGnShF27dhV6jdB/VTqOdcCrvRZXb12lW1EUOi7qDcD5z0PJiDiBdfTH2Hl1PV3nRQAAIABJREFUwtreCY0mk8zYy1jZ2KCq1mgztWg0RfdMDb8TRvWaNSrE+JCqQjJb+lQLE0lPT6dNmzb4+/vj6emZa9v14OtE345F1Vrh6OxEWkImGux45MVp7P5jF6qq+yqmxqlsGK/y0zj45SFIjlbxH2qDp+dlbhysRVKkF4pt7lW/PAeOJ/MqRP3kj2LVmUXDdzDJ5VviIlJK9Dn6t+pBe+8WpKenl+xGCJNRjXwVRlGUAEVRZnF3NoqcI1qnoZuOqb/+/RlGbhOiwklKSiItLY0ePXrQvXv37Pfjo5I49XcIqqrSwLcpaZnxXL5yBjtbRzTYMO7RCdy4Fsrh/f8ZPm+kyk9jVUL+VPn9Cfh3oYbazXPPra1mZnJzyy58Rw0mM92NqAsuJF7TzYnt1nsinp1dCfs6nen1nmZOh1+K/Cx/bfuTAK8WfPjmu6W4I8LUJLOlpVqYSLdu3Thx4gQRERE4O+dettDN040G7r3JjHbl3P4bLNg4h5SkNOY+/hw/f7eOb7f+SO+BfYk4C2fXQ90uEDADHNx1LRC3d5/AOk1D9cU/oSh5/g5UtFhXA/RzvrvXdsS9tiMam5L9vRjQOZDwO2H5uqKI8qdVS9/uUdLZKGSmClGZpKamUqNGDRo2bMiJE7kHlL83dT0HfjnH+/sepXtQdw7sOMDir96nScsmdBkcgHM1J/q17M6F0+c4GHoS7zreuY6/cxzObQBrOxjyBdw5AR55ppq+uW0PB6fNpv7E+xh4eAdRf3yFS9v+gK4l27qaFWSAl681TjUccx2rTUvEKs+64951a+PbsAFN/ZuZ6A4JU5DMlkq1MJEWLVoUuFS2SzUX3lz7NFu++g+/Nt5oNBqcXBwYP20SqlbLjCcfxcHJkWPHjvHgLpXqzcHBQ1ehjjt3khpdm+DgMwynpoH5zh25ZgjXrjfhl83DGOUZyqNLupXqc3yyuuzmhxXG07VolMPDRCGqAI1Gg7+/P35++Vc4HDyjI3YONvj616SFaz363tsve5tzNV1l9vHZM9m362+at2jOyPtHsnz58ux96veBSTuhZmuwr6ZQp0P+6zvWccOjfUPqPTAYK2sbqg9+LPsJ5dbPz3Lgy8k8+KYnbx6YnKs7R8qlLUStHYzrgI9x7vBU9vtN/Zux95LhlnNhHpLZOlKpFkZLTExEm5mZvUx2TitXriz02ICgxgQE5W6+6NyzK516dKFp06ZotVrOrFOJCwWfbndD9cxbL3Bn93nSXV6mWttr1B1wdzqlFY+e4+8VSxk8eh0XLjbn+D+naTuwbuk+pLAYEtBCFE1VVcLvhFHTK//cz1msra05ePCgwW0dBzej4+DCW3zvnzSaHgN7s2z9N2i12uz3w8+oHF8J3eboKtSGbP56O39/uIwe8RsI/X0Ee6afov6sXnw44SITPmyEnas1l0ICyKg1KF//aCsHD6wca2LlXLvQ8gnLIJktlWpRDL1adCQqMpILMaFYW5vm/zqKonDhwgUAPvRRSbwDAdNUbPVznLZ46V2sa+3mzPI0Yi9E56pUW9tpsHW0p9n0/3Hju2fZ+Wtd7OvGMHLqSGxsbAxeT1QUqgS0EEb4aP67LHzpTb77bR39Bw8ss+vUrFmTuLi4XO8dXgKHvwDvAIivdYCUpBR6D+mda58f3vuFK2fTGfvefDITfIgPOU5adArWdlZobKzoM7kxfSYbXprctk4nvJ69U1YfSZiUZDZIpVoUQ4dunYiKiCqz/sZjNkFyFNkVagDXZq1wq/cjfl3+pMnkCbn2n/RRYyZ9pAvjJfsW8Nn8j3h1xivUrudNj0E9y6SMovxoJaCFKFKzli2o39CPOj7l/5Sux0tQpwM0Gwkdqz9OYnwip9JP52p0eX/bq4QFh5L44VQ8eyfwwPk5ONR0pNNjjcq9vKJsSWZLpVoUwxffLy96p1LwDjD8+DD2+L8kB+8jMykeG5f8XU8AWnZpxrMLnqV159Z06NWxLIspyoEKaFVtkfsJUdUNGj6EQcOHmOXaTjUUWk3U/XvhN4tIjE/M9xSzlk91qtmk8PfZY9h61MThaUcDZxIVnWS2jlSqhUW6ui2JpPBMmk90od2Xv5KRGI+tu2ehxzRp2YQmLZuUUwkrllu3bnHt2jU6depk7qIYSUVFAlqIiiLovqDsf1/6OQGARvfpZoKy96pLr/0RWDvJ/P+Vl2Q2yDzVwkLtmB7GzunhpCdqsbK1LbBCnRryM+Ff2ZJ67fdyLmHFMnz4cDp37kxwcHDRO1sIFa1RLyGEZdk2OYxtk8NyvWfr7omVgdmhipJwcB7hXzuSGXvJVMUTZUQyWyrVwkzCQiP4fPYqIm5F5du27cE7ONayJmhFDf5dEcd9tafxVv/30KZn5j+RqgU1U/ffldyt67dITUkt0bEzZ85kypQp1K1bcWZHUY38jxCibKUkpbL0pdVcOGr4j/LQy7cY7PYwz3t+x60DKQxd58XQdV759kuPT+Po/IPEnI82/uL6fK8M33VVVbl2+VquGVQqE8lsqVQLM/lj9R5WL/6ZHT/szbct/FgqscHpJCc58fuzqYTdiuDCnotEnYrMt6+d3/3UmJaJne/Q8ii22YRcCKFPvd48/cDMEh0/ceJEVqxYYXAecUuk6h8lVvVWDyEswYl/zvLN2+v55u31BrdHhSYSGxtFdGw4CaEZ+A50xHdg/r7TN/8K5eQ7hznzyTGjr+3caSE1HknBuprhGUIqkm3rtzKgURBfvfOVuYticpLZOtKnWpjFiEcH4urpQr8x3fNtG3uwLtoMyEhV6HuuJg92/YxLyx9h1uB3eGHDU7ToUs8MJTYvz5qetOnchq79S7e4TUWiYuDJhBCi3LXv24p5K58ioE8rg9tb9WzIW/O/49SJQ3z23re81X8Kzm4O+farM6Ae7Uatwcm7LtCnjEtteRo086Np66a07mD4PlZ0ktnSUi3MxLmaE/c+EoSTy93gTU1JA+Dnj/fy8r3LsXJIp/8ihaZDarDxYCQ3b9sQcuKWuYpsVq5urqzd/yMPPv2guYtSTlQyyTDqJYQoWxqNhsGT++JVrwYAS5//jdeGryIlWdcdTVEU+sx1IiwuhHMHrhMXkQTAb+t/4aGhE4mL1s1vrbEGNeoQKZf/Mc8HMbOmrZqy6fgvdO7bxdxFKQOS2SCVamEh9mz8l74OY9iyahf//nqO47uCiY/UBXPoH6HsvX2LC6yh/5S2Zi6pKA8qKqqaadRLCFG+9m86y65f/qS/0zhuhtxdnOXlnybw7fXZ1G6kG1j+/effsv23rfw0bjUAisaaFt/coOmnp8xSblF2JLN1pFIt8klLS+OH5au5fbP8WoWdqjni4uGMq4czb/4+mW+uvEgNHzcAHLyceK7xc3y3bCV2dnblViZhXiqZRr2EqExiY2L5ftkq4uPizV2UAn383xOMeLIHnt7u2NrfXb3W1t6GGnWrZf/8wfJPebHFi7TtHpD9nrWzOxpHmVqvMpLMlkp1lZOZmcnW9VuJDMs/6C/Ljs3bePHhp3n3lYXlVq72fVqxNfJbug3tgIOzHbV83bO3VQ+oyfQLz9D1kV65jlFVle+WrOTov4fLrZyivKgS0KLKyMrlqPAovvtyJbOnP8fa5avNXawCubg78OwnD7PpxtdU9/YocL+a9Wsx8/Rs2r2kmx//8P7/WL30G1S1cs8AUTVJZoNUqquc3b/v5pkHnuadWYsL3KdHUG+e+t+zVPfzYuzYsaSkpJjs+kf+OcqMex7j5rWiW8Fv/nmdXRO3khp99/pjxoxh4kTdEl4hFy8z99EXmD3jOZOVT1gKCWhRdez+7a/sXB458QEenz2TYWNGGNw3MzOThx56iA8//LDMypOZmcm8qS/xzfurSnT89evXae7TjNcGvYSqvVuBnj39WebMeJ6rwVdMVFJhOSSzQSrVVU5gj0DGPT6eCU9OLHAfF1cXZr09j82//cratWsJDQ012fX/3Pgne7fu5eTBk0Xue+n7c1z/LYTo07pWdVVV2bJlC1u3bgWgQeOGLFr6PouWfgBAXGysSf8AEOajAloyjXoJUdEF9uyQncvedWszd+Er1PLOP88zQGxsLCtWrODzzz8vs/LExyawceUm1n75Y4mOv3btGudCz7Nn125SY+7Orf/OVx+xeNkH+PrVByAmOpq0tDRTFFmYmWS2jlIVH8MEBgaqhw4dMncxLF54eDjXr18nICCg6J2NlJKcwpkjZ2nXtS2KohS6b1psKtFnoqjZ2St738jISBRFwcMj9yPHxMREmnnUo1GzJuw6vt9k5RUlpyjKYVVVA0tybA2lpXqfYtwv9GWqf4mvIyoGyezcTp06hYeHB7Vr1y6za1w6fQlXd1dq1q5ZouPPHDiNp60HtQK8DW4Pu32HNrWb0K1PT9bv3FyaogoTkcwuPWmpFgWqUaOGSSvUAPYO9gR0a1dkhTo+NINb/2bmqlADeHp65qtQAyTEJtDCvxXtOrQv9LznTp3lnvZ92b+7ak7pVHGoqGQY9RKiqmnZsmWZVqgBGvk3KrJCnRan5fLGRDLT8jfOtejsX2CFGiDsRhjNW7akbQfjfsf8+ft2Bgf2I+SS4VUdhblJZoNUqoUF+Pr1tcx7YDGZmXcfC21/KIzNI24TedK4R4OT+zzI1aO3eO3d+YXud+7kGU4dOcGRA9LqZcl0a3NlGPUSQpSthdM+4/2nluV7//D7MWwZf4fza4o3U8nNazcZFTiK6o61eWnh60Ydc2D3Pk4ePk7w+UvFupYoH5LZOlKpFma3Y80e/lq/n+SEu/2h27/oRutHXXFvatyy2sMfHMHgsYNxcnEqfL+xI/nr3H4ee/Epg9tPnDjB888/T2xsrPEfQJQBGfQihCVQVZVt3+1m23e7821rOsaZ5pNdqBeUf0nywnjW9KTf8H7cO3G40cfMenseu88foN+QAUbtf/XqVZ555hmTjgkShZHMBlmmXFiAL/YuICk+GedqugpxyO+JHHg1ikHf10JjV3g3kSyPzXvMqP0URaFh08YFbv/oo49Yvnw53bt357777jPqnKJsVPbHhEJUBIqisPbi51hp8rfBeTS3pcNsNzbfd5sOs91oNNLZqHPa2dvx2cbiDbS0trbGr0kjo/f/4Ycf+Oijj/D19eXZZ58t1rVEyUhmS6VaWAC36q64VXfN/vnWgRQiT6cTF5yBe2PjWqpNZf78+fTt25ehQ4eW63VFbipaMpGZXISwBDXrVi9wW9y1DCJPpnFrf4rRlery8Pjjj+Pt7c3IkSPNXZQqQTJbRyrVwuJ0ftWDlg+54lrfpuidTaxWrVpMmDCh3K8r8lJRSTd3IYQQRajb04EHz/rgXMeyqhMuLi48+OCD5i5GFSKZDdKnWlggK41ilgp1TsnJyYwYMYIlS5aYtRxVlwx6EaKicPW1wcrauK56liA+Pp6hQ4fy7bffmrsolYhkNkil2qySk5O5davolQWrmj179hAREVHkflHhUWxdtyXXrCGmcvv2bTZt2sSqVSVbUUyUloqqphv1ElVTbGwskZGR5i5GlXfp0iVOnDhR4PaT/53g2IFj5Viiol29epXffvuN1astdyn4ikcyG6RSbVb33HMPtWvX5saNG+YuisU4dOgQvXr1YtKkSUXu+86sxTwz+hl2//aXycvRoEEDTp06xebNsiiBOcj0TKIorVu3pk6dOqSnV+5f0pauW7dutGnTpsDVbCf1msS4rmOxpIXmWrZsyfHjx1m7dq25i1JpSGbrWFYnqDwURXEDRut/DAIWqKp6JM+2YMAP2KGqaoWaFb5fv36kp6fj5uZm7qKY1NWQKwRfuESfgf2LfWyzZs0YP34848aNK3LfCU9OxMHJgcCeHUpSzCL5+/uXyXmFMaR/XkVUnpkdFBTEnTt3sLa26F9jFufsydPEx8XTsVtnk5xv1qxZ3L59Gzs7O8Pb35tNempakQt+lbfWrVubuwiVjGQ2WPgy5YqiTFdVdan+327AYSBIVdVgRVGWALNVVY3Rb1+nquoDxpxXlrwtWwMCe3Li8DH+OX+Yhk0Knr7OWIf+PkTDFg1x93TP9b6qqvz121+06tCK6rUKHp1eEis/+4oVHy/jhz834l2n4FXBRMFKs+Stu1Jf7ccrRu37Ew9X2iVvKxrJbMvXslZDIsLCCU68jaNj8eaXLi1VVTm4+yAt2rXA2dWZvX/spbF/Y7zqepVrOT5++302rdnA+j2bcfdwL/qAKkIyu/QstvuHoigBQHaK6oN4BzBK/1ZgVjjrRemPEWb2wqtzefS5J/H1a1Dqc504eIKJPScwd8rcfNsO7j7IY8Me5fXHXiv1dfI6ffQkwRcuEx0hfTbNQ0VLulEvYRkksyuGeQteY/abL5V7hRpg3459TO7zIG8+9SbnT5xn2qBHeHHCC+VejhOHjnHh9DniYmSRL9ORzAbL7v7hASwC2ud531NRlP5AVJ73Y4D+wBFDJ1MUZTowHaBevXqmLanIZcCwexgw7B6TnMuvuR+Dxw5m2IR7823zb+/P6OljGDZhmEmuldPCJe8zd+EreFT3NPm5hTHkUWIFJJldAYx7qOjxKmWlRUALBj4wiJFTR+LXzI/xT0ygz9De5V6OL9ctJz42DndPj3K/duUlmQ0WXKlWVXWHoih5Hw0GArMBN3SBnFMk0LCQ8y0FloLuUaIJiyrKkLOLM++v+aDAbW8seaNMrqvRaKRCbUaqvtVDVByS2aIo7p7ufPTjR9k/v/Kpcd0FTM3a2loq1CYmma1jsd0/AHIOYtG3dASrqroDXYtIXnkDW1ig6xdvkpSQbO5iCIuna/Uw5iUsh2R25RJ1J4bwm3kfMAhhiGQ2mKGlWj94pVB5+t1lHTMjx6AWQ9/yyjWFRiV09fwNxjd7ko4D2/LB1lfNXRxhwXSTMyWauxgCyeyqbFLLp0mMS2Jn0g9oNBpzF0dYMMlsnXKtVCuKMgrdNEuFiUH3uDCnucC0PPvkDWRP4HKpCljJxcXFsWPHDoYOHYqtrW25X7+6tzvt+7ai5wjTTOUkKjN5lGgJJLOL7+TJkyQmJtK5c8XPuX5ju5MYl4SVlUU/1BYWQTIbyrlSrarqemB9cY7RD1ZZkGMaJj99371FeXZ1A2Qm90IsXLiQBQsWsHz5cqZOnVru13dydeTjnWXTB1pUNioqaeYuRJUnmV18ffr0ITIykuTkZOzt7c1dnFJ57pNpRe8kBCCZrWOxAxUhu0/ejjyPFgPQLR4QrA/rrD58flmLDAjDJkyYwO3btxk4cKC5iyJEoXSDXiSgKxrJbHj77bcJCwur8BVqIYpDMlvHYivV+vlLtwMxOVZicuPuo8hpwGhFUbJW55pR7oWsYPz9/Vm+fLm5i5HLokWLUBSFWbNmmbsowqLIo8SKRjJbZ8aMSvmxjHLz5k3mzp3Lc889R5s2bcxdHFGuJLPBgivV+haMAtc11beELC2/Eomy8PLLL2NlZWVUpfrkyZOsXr2aefPm4eLiUg6lE+aiopVWjwpGMlvs3LmTVatWUatWLdq0acOVK1f47LPPeP755/HyKt9VE0X5kszWsdhKtagaDh48SI5WrUK9//77rFy5ks6dOzNixIgyLpkwLy0ZJJi7EEKIYhg3bhzVqlWjT58+AKxatYp3332X+vXr88QTT5i5dKJsSWaDVKqFmbVt2zbfez+uXINXHW96BvXO9f78+fPp3bs3Q4YMKafSCXOR/nlCWL7k5GRWfrKMAcPvoWHTxlhbW3PvvXdXv505cyZ169ZlzJgxZiylKA+S2TpSqRbFFnYrjBtXbtCuSzuTnzsuNo7npz5FrdpeHLpxKtc2b29vJk+ebPJrCkukJVMCWohiu3b5GkkJSTRr06zMr7V3x27mz36DsyfO8PF3X+bb7ubmxkMPPVTm5RCWQDIbpFItSuCpkU9y/MBxtpzfSoMmDYp17J+/7MTe0YH23dtjZ2+Xb7trNVc++2EZNb1rmaq4ogKSVg8hSmZ893FE3I7gWNJx7B2KPwPJ7dDb7N+5n2EThmFtfbeKkJSYRGpyCu7V7y6O2XNAH978ZCF9Bvc3SdlFxSWZrSOValFsk5+ZzN9b91LHt06xjosMi+Tx4Y8D0LF3R1bt+tbgfveOuS/fe6pWS1p0InaeMkCxalCl1UOIEnj4xYcJuxlmsNHCGO/MWsxva37Do4YHvQb3yn5/TJcxXD5ziYPR/+Hs4gyAnZ0dU558pFjnT49PRrHWYO1Q/guQibIkmQ0gyySZwb333ktgYCCZmZnmLkqJDB4zhAUrFmBrV7xQ9KjhwdNvPUODpg3o2LtTrm3fL1vFgDY9uX3zlsFjj778PZtaPEXk4Uq3AJswIKvVw5iXEJmZmQQGBjJs2DBzF8Xspj73ELPfnWP0APC8ps2ezvS50+nQq0Ou9zv37kSHnh2Mav2+fP4ifVt0ZevPv+V6PzMljU3+M9ke9GqJyiYsl2S2jrRUm0FISAjXr19Hq9Wi0WjMXZxyoygKj817jMfmPZZv26F9Bzl74gzht8Pwqu2db7ubvw/O9WtiV921PIoqzEzX5iEjyYVxtFotly9fJiUlxdxFqfCatWlmsD/2vI9fMvocoVdDuXj2AscPHWXQfXcHlis21ni0a4CTT3WTlFVYDslsHUVVVXOXodwFBgaqhw4dMtv1MzIyyMzMxM6uZI/nKqOMjAwiwsINVqhFxaQoymFVVQNLcqy9Yq/Wx9eofc9zocTXERWDMZmdmpqKRqPJ1Q9YmM+t0JvUqu2FlZU8EK8oJLNLT9LHDKytrSX487C2tpYKtchBJZNUcxdCVCDSSGFZvOvWNncRRLmSzAapVAshLJCKSkYl73snhBCVhWS2jlSqhRAWR0UrAS2EEBWEZLaOVKqFEBZHi5YE4s1dDCGEEEaQzNaRSrUQwuJkohIjrR5CCFEhSGbrVMnZPxRFCQeumrscOVQHIsxdCAsn96hwlnh/fFVVrVGSAxVF2YruMxkjQlXVQSW5jqgYyjCzLfF7U1nIvS07ZXVvJbNLqUpWqi2NoiiHKuv0MqYi96hwcn+EKD753pQdubdlR+6t5ZIJJIUQQgghhCglqVQLIYQQQghRSlKptgxLzV2ACkDuUeHk/ghRfPK9KTtyb8uO3FsLJX2qhRBCCCGEKCVpqRZCCCGEEKKUpFIthBBCCCFEKcniL8JiKYriBowGggE/YIeqqsHmLZVlyXGPAIKABaqqHjFjkYQQVZRkdtmRrK8YpE+1hZEvzl2KoiwBZquqGqP/eZ2qqg+YuVgWRVGU6aqqLtX/2w04DATJLzIhjCe5axqS2WVHsr5ikO4flme0qqpL9V+eacA6RVH8zF0oMwnMCme9KEVRAsxWGgujvxeHsn7W36sdwCizFUqIikly1zQks8uAZH3FIZVqCyJfnLsURekPROV5Owbob4biWCoPYJmB9z3LuyBCVFSSu6YhmV2mJOsrCKlUWxb54tzlhi6Qc4oEGpqhLBZJVdUdQN5Hq4HAdjMUR4iKSnLXNCSzy4hkfcUhlWoLIl+cXDwMvJc3sKu8nP3p9C1Fwfr/HwkhjCC5azKS2WVIsr5ikEq1hZEvTra8jxFB1xIiDNAPXJkhg4KEKD7JXZOQzC4HkvWWTabUKwf6L0Gh8gzukC+OroUj733zBC6boSwVwVx0A6yEEEjumoFkdvmQrLdgUqkuY4qijEI3RVNhYoDZed6r0l8cVVV3KIqyKM/bbsBac5THkimKMh3dFGBZ01j5yTRLoiqT3C1/ktllT7Le8kmluoypqroeWF+cY+SLky04z2f3k7ljc9M/qt6Rp8UtAN3iC0JUSZK7ZiOZXUYk6ysGqVRbGPni5DINGK0oStbqXDPMXB6Lop8KbDsQoyhK1ttuFN1CJ4TIQXLXZCSzy4BkfcUhKypaEP0X5zC5R0y7oVs1SQbNCCGEiUnuCiFMRSrVQgghhBBClJJMqSeEEEIIIUQpSaVaCCGEEEKIUpJKtRBCCCGEEKUklWohhBBCCCFKSSrVQlgoRVH6K4oSoCjKLP0MBUIIISyQoijTJaeFVKqFsECKovgBD+gXTjiCzPcqhBAWSb+CpyxtL6RSLaoOfYvvEnOXwxiqqgarqppVkQ4A1mVtUxTlsLSICCGqEkvOb/0KngYXCpK8rlqkUm0BFEVZoiiKqihKdI7X9or4RczxWfK9zFyuAGBGjooqiqJc1rcwWCz9Sm8xeRaheIAclWwhhPnpsy9an3eH9cueG3OcReWQJWa4ofwuwTnMdZ8lr6sQqVRbjh2qqrpnvYAlwOHyCAH9LwKjfgEYaYeqqkrelwnPXxKL9K8KRV+ZjsrZQqOqajBwRFGUCvd5hKiMFEXZjm5Z7vaAO7BA/++SnKtYeVwG+Q2Wl+EVMr9B8rqqsTZ3AYRhqqquVxTlAWCZoig7VFWNKfKgkuuH/tGVoiizgA6qqlaa/mGKorgB/VVVDTJ3WbLofwm6Gdh0RFXVHVlPKfR9qncAy8jdr3oButaP2WVdViFEwbLyBXDPkdPr9a+SyM7jkuxf2TLc3PldVFYbeRrJ6ypCKtUWTF+xXgRMBxaX4XWOlNW5LcRodBVTi6Gq6tIidgnk7i9KD/L8klVV9YiiKH6KovjpW0KEEOYViAlyprh5LPldtozIamPOIXldRUj3D8u3A+iQ9YP+i7k9R789vxzbLusHc2Rt357zRIqirMvR5297nuNGKYqyDt0jtlH6/UL075Fn31I9asxxvSVZ5SjgPbccnyVffzhDxxSgPboZNAor0yj9dQL0Pwfo76+qv2/b9ffEUIuFoXu/Tv+/VdY9317QsYbog9xP/5lnY3hk+RF0gxiFEGaib51eDGxXFGWRobEw+ny5nCO3C/ze5s06I3I9e/+KlOGlze/iZnSeY0uV94bOh+6PqjE5fyfnIXldBUil2vJdJvcXcTuwRN+/bbb+55xmoKuANQSSK5N3AAAEt0lEQVT65wjb6YCbvs+2goH+afrHhYuB9fp+3f3QhbOb/hx+6PoN/lhEmfsr+Qe55B21vUz/2R4o5L3DwHZ9ebO6wvQ34jx5+QGRBW3Un3MdEJSj1Wcdukd27uge/W3X37vCuuHkvPej0P1vMxtogC5wi/WLTFXVpaqqrldVdUYBrRtR+s8mhDAjVVWz/vANQDcW5rKBinOQPst2UPyBawZz3UA5KlqGlya/S5LRpsz7bPqcbq+q6uxCWqIlr6sAqVRbvobc7e88Ct2XcpmiKNHogsAjz1/T61VVjckaHMHdL3EUEKj/C93NmL5gOc6RVRmckXX+Ig41NMgl76jtH1VVXZznXNnv6f8IiFFVdbG+LEfQVVDz/jFg6Dx5eQAFbQ9CV/mdkeee+OmDMka/vYPBo3Nbkufe79BPjReD7heppxHnKI6YMjinEKIE9HmRs+K8Myub9duyKltLKH7lqqBcL6pMlp7hpcnvkmS0KfO+uCSvqwCpVFu+QO4++vJD3wKR55UzcP4zdBL9PJoL0LUMRBtodSjIAu4OkBuF7heCKRwu4r3sPyZyCCb/LxND5ymO6frz5m0pCc7RGpQVxEXJWd4odC0wORnd/UMIUXHlqID2h+xue4sURTmMPkuK0x2MAnLdSJac4aXJ75JktCnzXoh8pFJtwfSPqQLQhSLowiBv9wej6VsE3NH1URtdWL++HMesR9caPgrwKMZo56JEFfFe3m4v6H/OG9KGzmPovAX9AluK7n4E5nmkGgzMUBTlMrpR3qUerFIG3CikW4sQwuyyGjwuA5dVVW1PCafaKykLz/DS5HdJMtqceS95XQVIpdpC6b/w69A9poqB7HDMnrNYPwjEqLkvFUXpn6MvW2GP2i6jGyDnlmP/pcBc/X8bW363vC9jj4XsgXoeim56qKzJ/+dy9w+M4gim4Mdu2/X3dxq6bjVZ5fRD96gySN9f0hLlmxVECFG+9NmaNejOTz/obR0QpZ8eMytTsr6ro8u4SJUtwwvK75JktDnzXvK6CpBKteXor+RYURH9wBQDfzG3RxeYKhBSzGss0h93GFhawFRMO9AFTAi6x2Cge1wYgPGPDfsD0XlfxrSM59EeCNKXeR0wTf+HRXEdpohR1/rzHkLXPSbncVkj9qMNDJI0N0Mt90KIcqRv+Z2hfx0Gduo3tddvj0FXmd2ubwltWMZFqmwZXlh+lyijzZT3ktdVgKKqZl09WlQA+nBZpH90WeHoWyOiVSNXBNO3rASp+sUG9MdPR/fUoKx/IRpF/8ttnaWURwhhuSpyhhvKb1NmdHnkveR11SEt1aJAOR6NzcZ0g1vKXdbsG4rxc7PGoHts6Zfj+Kz3LcVcSr5imxCiCqgMGV5Afpsyo8sj7yWvqwipVIvCjNY/toux0IF6xTEbI5eI1X/Wtege12Z1x+mAbs5Xs9OHf4AF9/UWQliGypLhufLblBld1nkveV21SPcPUWXoH/M1NDDfaoWin5ZrtglH8QshhEWrqPkteV21SKVaCCGEEEKIUpLuH0IIIYQQQpSSVKqFEEIIIYQoJalUCyGEEEIIUUpSqRZCCCH+324dCwAAAAAM8rcexN6iCGCSagAAmAIG+u4Q3+xCHgAAAABJRU5ErkJggg==\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": {
    "papermill": {
     "duration": 0.028783,
     "end_time": "2020-04-01T01:13:34.612556",
     "exception": false,
     "start_time": "2020-04-01T01:13:34.583773",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Profiles of NO3 and Dissolved Silica"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "papermill": {
     "duration": 0.619311,
     "end_time": "2020-04-01T01:13:35.260783",
     "exception": false,
     "start_time": "2020-04-01T01:13:34.641472",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'dSi')"
      ]
     },
     "execution_count": 24,
     "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": {
    "papermill": {
     "duration": 0.031489,
     "end_time": "2020-04-01T01:13:35.324923",
     "exception": false,
     "start_time": "2020-04-01T01:13:35.293434",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# dSi:NO3 Ratios"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "papermill": {
     "duration": 0.405354,
     "end_time": "2020-04-01T01:13:35.772103",
     "exception": false,
     "start_time": "2020-04-01T01:13:35.366749",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f2b27ac9370>"
      ]
     },
     "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['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": 26,
   "metadata": {
    "papermill": {
     "duration": 0.419595,
     "end_time": "2020-04-01T01:13:36.226572",
     "exception": false,
     "start_time": "2020-04-01T01:13:35.806977",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f2b2672c8e0>"
      ]
     },
     "execution_count": 26,
     "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": {
    "papermill": {
     "duration": 0.036219,
     "end_time": "2020-04-01T01:13:36.299777",
     "exception": false,
     "start_time": "2020-04-01T01:13:36.263558",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Chlorophyll"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "papermill": {
     "duration": 0.076639,
     "end_time": "2020-04-01T01:13:36.412036",
     "exception": false,
     "start_time": "2020-04-01T01:13:36.335397",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_0340c540_73b6_11ea_8cbc_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_0340c540_73b6_11ea_8cbc_10c37b4d93celevel0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <th id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93celevel1_row0\" class=\"row_heading level1 row0\" >z < 15 m</th>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow0_col0\" class=\"data row0 col0\" >-2.61205</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow0_col1\" class=\"data row0 col1\" >160</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow0_col2\" class=\"data row0 col2\" >8.94811</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow0_col3\" class=\"data row0 col3\" >0.350828</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow0_col4\" class=\"data row0 col4\" >-0.0015592</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow0_col5\" class=\"data row0 col5\" >160</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow0_col6\" class=\"data row0 col6\" >0.502321</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow0_col7\" class=\"data row0 col7\" >0.745257</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93celevel0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <th id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93celevel1_row1\" class=\"row_heading level1 row1\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow1_col0\" class=\"data row1 col0\" >-1.17608</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow1_col1\" class=\"data row1 col1\" >79</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow1_col2\" class=\"data row1 col2\" >3.36087</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow1_col3\" class=\"data row1 col3\" >0.342782</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow1_col4\" class=\"data row1 col4\" >-0.0383487</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow1_col5\" class=\"data row1 col5\" >79</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow1_col6\" class=\"data row1 col6\" >0.490198</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow1_col7\" class=\"data row1 col7\" >0.612162</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93celevel0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <th id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93celevel1_row2\" class=\"row_heading level1 row2\" >z >= 22 m</th>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow2_col0\" class=\"data row2 col0\" >-0.234486</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow2_col1\" class=\"data row2 col1\" >1</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow2_col2\" class=\"data row2 col2\" >0.234486</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow2_col3\" class=\"data row2 col3\" >0</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow2_col4\" class=\"data row2 col4\" >-0.0842336</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow2_col5\" class=\"data row2 col5\" >1</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow2_col6\" class=\"data row2 col6\" >0.0842336</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow2_col7\" class=\"data row2 col7\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93celevel0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <th id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93celevel1_row3\" class=\"row_heading level1 row3\" >z > 50 m</th>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow3_col0\" class=\"data row3 col0\" >nan</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow3_col1\" class=\"data row3 col1\" >0</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow3_col2\" class=\"data row3 col2\" >nan</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow3_col3\" class=\"data row3 col3\" >nan</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow3_col4\" class=\"data row3 col4\" >nan</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow3_col5\" class=\"data row3 col5\" >0</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow3_col6\" class=\"data row3 col6\" >nan</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow3_col7\" class=\"data row3 col7\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93celevel0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <th id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93celevel1_row4\" class=\"row_heading level1 row4\" >all</th>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow4_col0\" class=\"data row4 col0\" >-2.12947</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow4_col1\" class=\"data row4 col1\" >240</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow4_col2\" class=\"data row4 col2\" >7.55628</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow4_col3\" class=\"data row4 col3\" >0.352338</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow4_col4\" class=\"data row4 col4\" >-0.0140136</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow4_col5\" class=\"data row4 col5\" >240</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow4_col6\" class=\"data row4 col6\" >0.497337</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow4_col7\" class=\"data row4 col7\" >0.73716</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93celevel0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <th id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93celevel1_row5\" class=\"row_heading level1 row5\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow5_col0\" class=\"data row5 col0\" >nan</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow5_col1\" class=\"data row5 col1\" >0</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow5_col2\" class=\"data row5 col2\" >nan</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow5_col3\" class=\"data row5 col3\" >nan</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow5_col4\" class=\"data row5 col4\" >nan</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow5_col5\" class=\"data row5 col5\" >0</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow5_col6\" class=\"data row5 col6\" >nan</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow5_col7\" class=\"data row5 col7\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93celevel0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <th id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93celevel1_row6\" class=\"row_heading level1 row6\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow6_col0\" class=\"data row6 col0\" >-10.2441</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow6_col1\" class=\"data row6 col1\" >40</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow6_col2\" class=\"data row6 col2\" >17.3065</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow6_col3\" class=\"data row6 col3\" >0.474607</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow6_col4\" class=\"data row6 col4\" >-0.475099</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow6_col5\" class=\"data row6 col5\" >40</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow6_col6\" class=\"data row6 col6\" >0.726567</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow6_col7\" class=\"data row6 col7\" >0.611964</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93celevel0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <th id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93celevel1_row7\" class=\"row_heading level1 row7\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow7_col0\" class=\"data row7 col0\" >-0.704902</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow7_col1\" class=\"data row7 col1\" >39</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow7_col2\" class=\"data row7 col2\" >4.05881</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow7_col3\" class=\"data row7 col3\" >0.661663</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow7_col4\" class=\"data row7 col4\" >0.112151</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow7_col5\" class=\"data row7 col5\" >39</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow7_col6\" class=\"data row7 col6\" >0.407112</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow7_col7\" class=\"data row7 col7\" >0.639543</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93celevel0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <th id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93celevel1_row8\" class=\"row_heading level1 row8\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow8_col0\" class=\"data row8 col0\" >0.238585</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow8_col1\" class=\"data row8 col1\" >81</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow8_col2\" class=\"data row8 col2\" >1.52307</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow8_col3\" class=\"data row8 col3\" >0.599935</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow8_col4\" class=\"data row8 col4\" >0.177538</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow8_col5\" class=\"data row8 col5\" >81</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow8_col6\" class=\"data row8 col6\" >0.397405</td>\n",
       "                        <td id=\"T_0340c540_73b6_11ea_8cbc_10c37b4d93cerow8_col7\" class=\"data row8 col7\" >0.75714</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f2b27b94d30>"
      ]
     },
     "execution_count": 27,
     "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": 28,
   "metadata": {
    "papermill": {
     "duration": 0.50395,
     "end_time": "2020-04-01T01:13:36.952658",
     "exception": false,
     "start_time": "2020-04-01T01:13:36.448708",
     "status": "completed"
    },
    "tags": []
   },
   "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": 29,
   "metadata": {
    "papermill": {
     "duration": 0.440095,
     "end_time": "2020-04-01T01:13:37.431067",
     "exception": false,
     "start_time": "2020-04-01T01:13:36.990972",
     "status": "completed"
    },
    "tags": []
   },
   "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": {
    "papermill": {
     "duration": 0.038132,
     "end_time": "2020-04-01T01:13:37.508276",
     "exception": false,
     "start_time": "2020-04-01T01:13:37.470144",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Conservative Temperature "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "papermill": {
     "duration": 0.125551,
     "end_time": "2020-04-01T01:13:37.672567",
     "exception": false,
     "start_time": "2020-04-01T01:13:37.547016",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_04015b8e_73b6_11ea_8cbc_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_04015b8e_73b6_11ea_8cbc_10c37b4d93celevel0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <th id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93celevel1_row0\" class=\"row_heading level1 row0\" >z < 15 m</th>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow0_col0\" class=\"data row0 col0\" >0.023639</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow0_col1\" class=\"data row0 col1\" >244</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow0_col2\" class=\"data row0 col2\" >1.4207</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow0_col3\" class=\"data row0 col3\" >0.942963</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93celevel0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <th id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93celevel1_row1\" class=\"row_heading level1 row1\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow1_col0\" class=\"data row1 col0\" >-0.206281</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow1_col1\" class=\"data row1 col1\" >81</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow1_col2\" class=\"data row1 col2\" >0.642737</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow1_col3\" class=\"data row1 col3\" >0.920731</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93celevel0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <th id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93celevel1_row2\" class=\"row_heading level1 row2\" >z >= 22 m</th>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow2_col0\" class=\"data row2 col0\" >-0.0626896</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow2_col1\" class=\"data row2 col1\" >778</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow2_col2\" class=\"data row2 col2\" >0.470799</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow2_col3\" class=\"data row2 col3\" >0.93255</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93celevel0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <th id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93celevel1_row3\" class=\"row_heading level1 row3\" >z > 50 m</th>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow3_col0\" class=\"data row3 col0\" >-0.0100127</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow3_col1\" class=\"data row3 col1\" >590</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow3_col2\" class=\"data row3 col2\" >0.442389</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow3_col3\" class=\"data row3 col3\" >0.937771</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93celevel0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <th id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93celevel1_row4\" class=\"row_heading level1 row4\" >all</th>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow4_col0\" class=\"data row4 col0\" >-0.0541372</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow4_col1\" class=\"data row4 col1\" >1103</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow4_col2\" class=\"data row4 col2\" >0.795723</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow4_col3\" class=\"data row4 col3\" >0.95304</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93celevel0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <th id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93celevel1_row5\" class=\"row_heading level1 row5\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow5_col0\" class=\"data row5 col0\" >nan</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow5_col1\" class=\"data row5 col1\" >0</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow5_col2\" class=\"data row5 col2\" >nan</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow5_col3\" class=\"data row5 col3\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93celevel0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <th id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93celevel1_row6\" class=\"row_heading level1 row6\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow6_col0\" class=\"data row6 col0\" >0.110444</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow6_col1\" class=\"data row6 col1\" >60</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow6_col2\" class=\"data row6 col2\" >0.400089</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow6_col3\" class=\"data row6 col3\" >0.711228</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93celevel0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <th id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93celevel1_row7\" class=\"row_heading level1 row7\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow7_col0\" class=\"data row7 col0\" >0.446745</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow7_col1\" class=\"data row7 col1\" >62</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow7_col2\" class=\"data row7 col2\" >2.37849</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow7_col3\" class=\"data row7 col3\" >0.877163</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93celevel0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <th id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93celevel1_row8\" class=\"row_heading level1 row8\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow8_col0\" class=\"data row8 col0\" >-0.234073</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow8_col1\" class=\"data row8 col1\" >122</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow8_col2\" class=\"data row8 col2\" >1.0407</td>\n",
       "                        <td id=\"T_04015b8e_73b6_11ea_8cbc_10c37b4d93cerow8_col3\" class=\"data row8 col3\" >0.955068</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f2b0c35df10>"
      ]
     },
     "execution_count": 30,
     "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": 31,
   "metadata": {
    "papermill": {
     "duration": 0.434481,
     "end_time": "2020-04-01T01:13:38.146175",
     "exception": false,
     "start_time": "2020-04-01T01:13:37.711694",
     "status": "completed"
    },
    "tags": []
   },
   "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": 32,
   "metadata": {
    "papermill": {
     "duration": 0.512461,
     "end_time": "2020-04-01T01:13:38.699300",
     "exception": false,
     "start_time": "2020-04-01T01:13:38.186839",
     "status": "completed"
    },
    "tags": []
   },
   "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,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": {
    "papermill": {
     "duration": 0.041375,
     "end_time": "2020-04-01T01:13:38.782019",
     "exception": false,
     "start_time": "2020-04-01T01:13:38.740644",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Reference Salinity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "papermill": {
     "duration": 0.06877,
     "end_time": "2020-04-01T01:13:38.892875",
     "exception": false,
     "start_time": "2020-04-01T01:13:38.824105",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_04bb9d0a_73b6_11ea_8cbc_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_04bb9d0a_73b6_11ea_8cbc_10c37b4d93celevel0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <th id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93celevel1_row0\" class=\"row_heading level1 row0\" >z < 15 m</th>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow0_col0\" class=\"data row0 col0\" >-0.336329</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow0_col1\" class=\"data row0 col1\" >244</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow0_col2\" class=\"data row0 col2\" >1.87368</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow0_col3\" class=\"data row0 col3\" >0.89086</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93celevel0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <th id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93celevel1_row1\" class=\"row_heading level1 row1\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow1_col0\" class=\"data row1 col0\" >-0.12303</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow1_col1\" class=\"data row1 col1\" >81</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow1_col2\" class=\"data row1 col2\" >0.426764</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow1_col3\" class=\"data row1 col3\" >0.963202</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93celevel0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <th id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93celevel1_row2\" class=\"row_heading level1 row2\" >z >= 22 m</th>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow2_col0\" class=\"data row2 col0\" >0.145867</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow2_col1\" class=\"data row2 col1\" >778</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow2_col2\" class=\"data row2 col2\" >0.34555</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow2_col3\" class=\"data row2 col3\" >0.98092</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93celevel0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <th id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93celevel1_row3\" class=\"row_heading level1 row3\" >z > 50 m</th>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow3_col0\" class=\"data row3 col0\" >0.186182</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow3_col1\" class=\"data row3 col1\" >590</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow3_col2\" class=\"data row3 col2\" >0.327591</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow3_col3\" class=\"data row3 col3\" >0.981713</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93celevel0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <th id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93celevel1_row4\" class=\"row_heading level1 row4\" >all</th>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow4_col0\" class=\"data row4 col0\" >0.0194515</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow4_col1\" class=\"data row4 col1\" >1103</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow4_col2\" class=\"data row4 col2\" >0.934993</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow4_col3\" class=\"data row4 col3\" >0.944222</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93celevel0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <th id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93celevel1_row5\" class=\"row_heading level1 row5\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow5_col0\" class=\"data row5 col0\" >nan</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow5_col1\" class=\"data row5 col1\" >0</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow5_col2\" class=\"data row5 col2\" >nan</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow5_col3\" class=\"data row5 col3\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93celevel0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <th id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93celevel1_row6\" class=\"row_heading level1 row6\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow6_col0\" class=\"data row6 col0\" >-0.715961</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow6_col1\" class=\"data row6 col1\" >60</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow6_col2\" class=\"data row6 col2\" >1.10126</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow6_col3\" class=\"data row6 col3\" >0.79516</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93celevel0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <th id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93celevel1_row7\" class=\"row_heading level1 row7\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow7_col0\" class=\"data row7 col0\" >-1.01601</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow7_col1\" class=\"data row7 col1\" >62</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow7_col2\" class=\"data row7 col2\" >3.26089</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow7_col3\" class=\"data row7 col3\" >0.869287</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93celevel0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <th id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93celevel1_row8\" class=\"row_heading level1 row8\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow8_col0\" class=\"data row8 col0\" >0.195787</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow8_col1\" class=\"data row8 col1\" >122</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow8_col2\" class=\"data row8 col2\" >1.01047</td>\n",
       "                        <td id=\"T_04bb9d0a_73b6_11ea_8cbc_10c37b4d93cerow8_col3\" class=\"data row8 col3\" >0.930358</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f2b267d0af0>"
      ]
     },
     "execution_count": 33,
     "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": 34,
   "metadata": {
    "papermill": {
     "duration": 0.388112,
     "end_time": "2020-04-01T01:13:39.322730",
     "exception": false,
     "start_time": "2020-04-01T01:13:38.934618",
     "status": "completed"
    },
    "tags": []
   },
   "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": 35,
   "metadata": {
    "papermill": {
     "duration": 0.498172,
     "end_time": "2020-04-01T01:13:39.863948",
     "exception": false,
     "start_time": "2020-04-01T01:13:39.365776",
     "status": "completed"
    },
    "tags": []
   },
   "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": {
    "papermill": {
     "duration": 0.044287,
     "end_time": "2020-04-01T01:13:39.952666",
     "exception": false,
     "start_time": "2020-04-01T01:13:39.908379",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Density"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "papermill": {
     "duration": 0.071378,
     "end_time": "2020-04-01T01:13:40.067319",
     "exception": false,
     "start_time": "2020-04-01T01:13:39.995941",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_056ecd62_73b6_11ea_8cbc_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_056ecd62_73b6_11ea_8cbc_10c37b4d93celevel0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <th id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93celevel1_row0\" class=\"row_heading level1 row0\" >z < 15 m</th>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow0_col0\" class=\"data row0 col0\" >-0.260878</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow0_col1\" class=\"data row0 col1\" >244</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow0_col2\" class=\"data row0 col2\" >1.59456</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow0_col3\" class=\"data row0 col3\" >0.901594</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93celevel0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <th id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93celevel1_row1\" class=\"row_heading level1 row1\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow1_col0\" class=\"data row1 col0\" >-0.0623826</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow1_col1\" class=\"data row1 col1\" >81</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow1_col2\" class=\"data row1 col2\" >0.381269</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow1_col3\" class=\"data row1 col3\" >0.955658</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93celevel0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <th id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93celevel1_row2\" class=\"row_heading level1 row2\" >z >= 22 m</th>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow2_col0\" class=\"data row2 col0\" >0.12318</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow2_col1\" class=\"data row2 col1\" >778</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow2_col2\" class=\"data row2 col2\" >0.30079</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow2_col3\" class=\"data row2 col3\" >0.984131</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93celevel0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <th id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93celevel1_row3\" class=\"row_heading level1 row3\" >z > 50 m</th>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow3_col0\" class=\"data row3 col0\" >0.146373</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow3_col1\" class=\"data row3 col1\" >590</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow3_col2\" class=\"data row3 col2\" >0.279697</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow3_col3\" class=\"data row3 col3\" >0.983849</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93celevel0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <th id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93celevel1_row4\" class=\"row_heading level1 row4\" >all</th>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow4_col0\" class=\"data row4 col0\" >0.024594</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow4_col1\" class=\"data row4 col1\" >1103</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow4_col2\" class=\"data row4 col2\" >0.798098</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow4_col3\" class=\"data row4 col3\" >0.957876</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93celevel0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <th id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93celevel1_row5\" class=\"row_heading level1 row5\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow5_col0\" class=\"data row5 col0\" >nan</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow5_col1\" class=\"data row5 col1\" >0</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow5_col2\" class=\"data row5 col2\" >nan</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow5_col3\" class=\"data row5 col3\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93celevel0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <th id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93celevel1_row6\" class=\"row_heading level1 row6\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow6_col0\" class=\"data row6 col0\" >-0.572594</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow6_col1\" class=\"data row6 col1\" >60</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow6_col2\" class=\"data row6 col2\" >0.895731</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow6_col3\" class=\"data row6 col3\" >0.79336</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93celevel0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <th id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93celevel1_row7\" class=\"row_heading level1 row7\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow7_col0\" class=\"data row7 col0\" >-0.856234</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow7_col1\" class=\"data row7 col1\" >62</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow7_col2\" class=\"data row7 col2\" >2.80215</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow7_col3\" class=\"data row7 col3\" >0.875496</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93celevel0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <th id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93celevel1_row8\" class=\"row_heading level1 row8\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow8_col0\" class=\"data row8 col0\" >0.194983</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow8_col1\" class=\"data row8 col1\" >122</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow8_col2\" class=\"data row8 col2\" >0.836831</td>\n",
       "                        <td id=\"T_056ecd62_73b6_11ea_8cbc_10c37b4d93cerow8_col3\" class=\"data row8 col3\" >0.936495</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f2b0c14a9d0>"
      ]
     },
     "execution_count": 36,
     "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": 37,
   "metadata": {
    "papermill": {
     "duration": 0.451077,
     "end_time": "2020-04-01T01:13:40.563083",
     "exception": false,
     "start_time": "2020-04-01T01:13:40.112006",
     "status": "completed"
    },
    "tags": []
   },
   "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": 38,
   "metadata": {
    "papermill": {
     "duration": 0.61471,
     "end_time": "2020-04-01T01:13:41.224153",
     "exception": false,
     "start_time": "2020-04-01T01:13:40.609443",
     "status": "completed"
    },
    "tags": []
   },
   "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": {
    "papermill": {
     "duration": 0.047549,
     "end_time": "2020-04-01T01:13:41.318611",
     "exception": false,
     "start_time": "2020-04-01T01:13:41.271062",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Temperature-Salinity by Region"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "papermill": {
     "duration": 0.060714,
     "end_time": "2020-04-01T01:13:41.424943",
     "exception": false,
     "start_time": "2020-04-01T01:13:41.364229",
     "status": "completed"
    },
    "tags": []
   },
   "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": 40,
   "metadata": {
    "papermill": {
     "duration": 0.387674,
     "end_time": "2020-04-01T01:13:41.859449",
     "exception": false,
     "start_time": "2020-04-01T01:13:41.471775",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Modelled')"
      ]
     },
     "execution_count": 40,
     "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": {
    "papermill": {
     "duration": 0.062631,
     "end_time": "2020-04-01T01:13:41.969897",
     "exception": false,
     "start_time": "2020-04-01T01:13:41.907266",
     "status": "completed"
    },
    "tags": []
   },
   "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": {
    "papermill": {
     "duration": 0.047054,
     "end_time": "2020-04-01T01:13:42.064434",
     "exception": false,
     "start_time": "2020-04-01T01:13:42.017380",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Display All Stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "papermill": {
     "duration": 0.078384,
     "end_time": "2020-04-01T01:13:42.188912",
     "exception": false,
     "start_time": "2020-04-01T01:13:42.110528",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_06b10140_73b6_11ea_8cbc_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_06b10140_73b6_11ea_8cbc_10c37b4d93celevel0_row0\" class=\"row_heading level0 row0\" rowspan=9>Chl</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row0\" class=\"row_heading level2 row0\" >z < 15 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow0_col0\" class=\"data row0 col0\" >-2.61205</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow0_col1\" class=\"data row0 col1\" >160</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow0_col2\" class=\"data row0 col2\" >8.94811</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow0_col3\" class=\"data row0 col3\" >0.350828</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row1\" class=\"row_heading level2 row1\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow1_col0\" class=\"data row1 col0\" >-1.17608</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow1_col1\" class=\"data row1 col1\" >79</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow1_col2\" class=\"data row1 col2\" >3.36087</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow1_col3\" class=\"data row1 col3\" >0.342782</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row2\" class=\"row_heading level2 row2\" >z >= 22 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow2_col0\" class=\"data row2 col0\" >-0.234486</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow2_col1\" class=\"data row2 col1\" >1</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow2_col2\" class=\"data row2 col2\" >0.234486</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow2_col3\" class=\"data row2 col3\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row3\" class=\"row_heading level2 row3\" >z > 50 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow3_col0\" class=\"data row3 col0\" >nan</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow3_col1\" class=\"data row3 col1\" >0</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow3_col2\" class=\"data row3 col2\" >nan</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow3_col3\" class=\"data row3 col3\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row4\" class=\"row_heading level1 row4\" >4</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row4\" class=\"row_heading level2 row4\" >all</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow4_col0\" class=\"data row4 col0\" >-2.12947</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow4_col1\" class=\"data row4 col1\" >240</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow4_col2\" class=\"data row4 col2\" >7.55628</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow4_col3\" class=\"data row4 col3\" >0.352338</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row5\" class=\"row_heading level1 row5\" >5</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row5\" class=\"row_heading level2 row5\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow5_col0\" class=\"data row5 col0\" >nan</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow5_col1\" class=\"data row5 col1\" >0</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow5_col2\" class=\"data row5 col2\" >nan</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow5_col3\" class=\"data row5 col3\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row6\" class=\"row_heading level1 row6\" >6</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row6\" class=\"row_heading level2 row6\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow6_col0\" class=\"data row6 col0\" >-10.2441</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow6_col1\" class=\"data row6 col1\" >40</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow6_col2\" class=\"data row6 col2\" >17.3065</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow6_col3\" class=\"data row6 col3\" >0.474607</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row7\" class=\"row_heading level1 row7\" >7</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row7\" class=\"row_heading level2 row7\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow7_col0\" class=\"data row7 col0\" >-0.704902</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow7_col1\" class=\"data row7 col1\" >39</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow7_col2\" class=\"data row7 col2\" >4.05881</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow7_col3\" class=\"data row7 col3\" >0.661663</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row8\" class=\"row_heading level1 row8\" >8</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row8\" class=\"row_heading level2 row8\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow8_col0\" class=\"data row8 col0\" >0.238585</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow8_col1\" class=\"data row8 col1\" >81</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow8_col2\" class=\"data row8 col2\" >1.52307</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow8_col3\" class=\"data row8 col3\" >0.599935</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel0_row9\" class=\"row_heading level0 row9\" rowspan=9>Chl log10</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row9\" class=\"row_heading level1 row9\" >0</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row9\" class=\"row_heading level2 row9\" >z < 15 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow9_col0\" class=\"data row9 col0\" >-0.0015592</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow9_col1\" class=\"data row9 col1\" >160</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow9_col2\" class=\"data row9 col2\" >0.502321</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow9_col3\" class=\"data row9 col3\" >0.745257</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row10\" class=\"row_heading level1 row10\" >1</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row10\" class=\"row_heading level2 row10\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow10_col0\" class=\"data row10 col0\" >-0.0383487</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow10_col1\" class=\"data row10 col1\" >79</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow10_col2\" class=\"data row10 col2\" >0.490198</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow10_col3\" class=\"data row10 col3\" >0.612162</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row11\" class=\"row_heading level1 row11\" >2</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row11\" class=\"row_heading level2 row11\" >z >= 22 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow11_col0\" class=\"data row11 col0\" >-0.0842336</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow11_col1\" class=\"data row11 col1\" >1</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow11_col2\" class=\"data row11 col2\" >0.0842336</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow11_col3\" class=\"data row11 col3\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row12\" class=\"row_heading level1 row12\" >3</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row12\" class=\"row_heading level2 row12\" >z > 50 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow12_col0\" class=\"data row12 col0\" >nan</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow12_col1\" class=\"data row12 col1\" >0</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow12_col2\" class=\"data row12 col2\" >nan</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow12_col3\" class=\"data row12 col3\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row13\" class=\"row_heading level1 row13\" >4</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row13\" class=\"row_heading level2 row13\" >all</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow13_col0\" class=\"data row13 col0\" >-0.0140136</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow13_col1\" class=\"data row13 col1\" >240</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow13_col2\" class=\"data row13 col2\" >0.497337</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow13_col3\" class=\"data row13 col3\" >0.73716</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row14\" class=\"row_heading level1 row14\" >5</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row14\" class=\"row_heading level2 row14\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow14_col0\" class=\"data row14 col0\" >nan</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow14_col1\" class=\"data row14 col1\" >0</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow14_col2\" class=\"data row14 col2\" >nan</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow14_col3\" class=\"data row14 col3\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row15\" class=\"row_heading level1 row15\" >6</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row15\" class=\"row_heading level2 row15\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow15_col0\" class=\"data row15 col0\" >-0.475099</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow15_col1\" class=\"data row15 col1\" >40</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow15_col2\" class=\"data row15 col2\" >0.726567</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow15_col3\" class=\"data row15 col3\" >0.611964</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row16\" class=\"row_heading level1 row16\" >7</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row16\" class=\"row_heading level2 row16\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow16_col0\" class=\"data row16 col0\" >0.112151</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow16_col1\" class=\"data row16 col1\" >39</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow16_col2\" class=\"data row16 col2\" >0.407112</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow16_col3\" class=\"data row16 col3\" >0.639543</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row17\" class=\"row_heading level1 row17\" >8</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row17\" class=\"row_heading level2 row17\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow17_col0\" class=\"data row17 col0\" >0.177538</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow17_col1\" class=\"data row17 col1\" >81</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow17_col2\" class=\"data row17 col2\" >0.397405</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow17_col3\" class=\"data row17 col3\" >0.75714</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel0_row18\" class=\"row_heading level0 row18\" rowspan=9>Density</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row18\" class=\"row_heading level1 row18\" >0</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row18\" class=\"row_heading level2 row18\" >z < 15 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow18_col0\" class=\"data row18 col0\" >-0.260878</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow18_col1\" class=\"data row18 col1\" >244</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow18_col2\" class=\"data row18 col2\" >1.59456</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow18_col3\" class=\"data row18 col3\" >0.901594</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row19\" class=\"row_heading level1 row19\" >1</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row19\" class=\"row_heading level2 row19\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow19_col0\" class=\"data row19 col0\" >-0.0623826</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow19_col1\" class=\"data row19 col1\" >81</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow19_col2\" class=\"data row19 col2\" >0.381269</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow19_col3\" class=\"data row19 col3\" >0.955658</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row20\" class=\"row_heading level1 row20\" >2</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row20\" class=\"row_heading level2 row20\" >z >= 22 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow20_col0\" class=\"data row20 col0\" >0.12318</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow20_col1\" class=\"data row20 col1\" >778</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow20_col2\" class=\"data row20 col2\" >0.30079</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow20_col3\" class=\"data row20 col3\" >0.984131</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row21\" class=\"row_heading level1 row21\" >3</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row21\" class=\"row_heading level2 row21\" >z > 50 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow21_col0\" class=\"data row21 col0\" >0.146373</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow21_col1\" class=\"data row21 col1\" >590</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow21_col2\" class=\"data row21 col2\" >0.279697</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow21_col3\" class=\"data row21 col3\" >0.983849</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row22\" class=\"row_heading level1 row22\" >4</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row22\" class=\"row_heading level2 row22\" >all</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow22_col0\" class=\"data row22 col0\" >0.024594</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow22_col1\" class=\"data row22 col1\" >1103</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow22_col2\" class=\"data row22 col2\" >0.798098</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow22_col3\" class=\"data row22 col3\" >0.957876</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row23\" class=\"row_heading level1 row23\" >5</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row23\" class=\"row_heading level2 row23\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow23_col0\" class=\"data row23 col0\" >nan</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow23_col1\" class=\"data row23 col1\" >0</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow23_col2\" class=\"data row23 col2\" >nan</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow23_col3\" class=\"data row23 col3\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row24\" class=\"row_heading level1 row24\" >6</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row24\" class=\"row_heading level2 row24\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow24_col0\" class=\"data row24 col0\" >-0.572594</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow24_col1\" class=\"data row24 col1\" >60</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow24_col2\" class=\"data row24 col2\" >0.895731</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow24_col3\" class=\"data row24 col3\" >0.79336</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row25\" class=\"row_heading level1 row25\" >7</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row25\" class=\"row_heading level2 row25\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow25_col0\" class=\"data row25 col0\" >-0.856234</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow25_col1\" class=\"data row25 col1\" >62</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow25_col2\" class=\"data row25 col2\" >2.80215</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow25_col3\" class=\"data row25 col3\" >0.875496</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row26\" class=\"row_heading level1 row26\" >8</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row26\" class=\"row_heading level2 row26\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow26_col0\" class=\"data row26 col0\" >0.194983</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow26_col1\" class=\"data row26 col1\" >122</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow26_col2\" class=\"data row26 col2\" >0.836831</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow26_col3\" class=\"data row26 col3\" >0.936495</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel0_row27\" class=\"row_heading level0 row27\" rowspan=9>NO3</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row27\" class=\"row_heading level1 row27\" >0</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row27\" class=\"row_heading level2 row27\" >z < 15 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow27_col0\" class=\"data row27 col0\" >1.12796</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow27_col1\" class=\"data row27 col1\" >241</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow27_col2\" class=\"data row27 col2\" >6.32333</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow27_col3\" class=\"data row27 col3\" >0.858144</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row28\" class=\"row_heading level1 row28\" >1</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row28\" class=\"row_heading level2 row28\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow28_col0\" class=\"data row28 col0\" >0.748741</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow28_col1\" class=\"data row28 col1\" >80</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow28_col2\" class=\"data row28 col2\" >3.55367</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow28_col3\" class=\"data row28 col3\" >0.747282</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row29\" class=\"row_heading level1 row29\" >2</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row29\" class=\"row_heading level2 row29\" >z >= 22 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow29_col0\" class=\"data row29 col0\" >0.0975869</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow29_col1\" class=\"data row29 col1\" >776</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow29_col2\" class=\"data row29 col2\" >2.39782</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow29_col3\" class=\"data row29 col3\" >0.841754</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row30\" class=\"row_heading level1 row30\" >3</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row30\" class=\"row_heading level2 row30\" >z > 50 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow30_col0\" class=\"data row30 col0\" >-0.108215</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow30_col1\" class=\"data row30 col1\" >588</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow30_col2\" class=\"data row30 col2\" >2.13845</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow30_col3\" class=\"data row30 col3\" >0.847405</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row31\" class=\"row_heading level1 row31\" >4</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row31\" class=\"row_heading level2 row31\" >all</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow31_col0\" class=\"data row31 col0\" >0.371437</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow31_col1\" class=\"data row31 col1\" >1097</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow31_col2\" class=\"data row31 col2\" >3.7111</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow31_col3\" class=\"data row31 col3\" >0.915259</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row32\" class=\"row_heading level1 row32\" >5</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row32\" class=\"row_heading level2 row32\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow32_col0\" class=\"data row32 col0\" >nan</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow32_col1\" class=\"data row32 col1\" >0</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow32_col2\" class=\"data row32 col2\" >nan</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow32_col3\" class=\"data row32 col3\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row33\" class=\"row_heading level1 row33\" >6</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row33\" class=\"row_heading level2 row33\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow33_col0\" class=\"data row33 col0\" >3.95674</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow33_col1\" class=\"data row33 col1\" >60</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow33_col2\" class=\"data row33 col2\" >9.14013</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow33_col3\" class=\"data row33 col3\" >0.516977</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row34\" class=\"row_heading level1 row34\" >7</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row34\" class=\"row_heading level2 row34\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow34_col0\" class=\"data row34 col0\" >-0.803055</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow34_col1\" class=\"data row34 col1\" >62</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow34_col2\" class=\"data row34 col2\" >3.72539</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow34_col3\" class=\"data row34 col3\" >0.933943</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row35\" class=\"row_heading level1 row35\" >8</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row35\" class=\"row_heading level2 row35\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow35_col0\" class=\"data row35 col0\" >0.707765</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow35_col1\" class=\"data row35 col1\" >119</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow35_col2\" class=\"data row35 col2\" >5.62354</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow35_col3\" class=\"data row35 col3\" >0.854868</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel0_row36\" class=\"row_heading level0 row36\" rowspan=9>Salinity</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row36\" class=\"row_heading level2 row36\" >z < 15 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow36_col0\" class=\"data row36 col0\" >-0.336329</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow36_col1\" class=\"data row36 col1\" >244</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow36_col2\" class=\"data row36 col2\" >1.87368</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow36_col3\" class=\"data row36 col3\" >0.89086</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row37\" class=\"row_heading level2 row37\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow37_col0\" class=\"data row37 col0\" >-0.12303</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow37_col1\" class=\"data row37 col1\" >81</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow37_col2\" class=\"data row37 col2\" >0.426764</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow37_col3\" class=\"data row37 col3\" >0.963202</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row38\" class=\"row_heading level2 row38\" >z >= 22 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow38_col0\" class=\"data row38 col0\" >0.145867</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow38_col1\" class=\"data row38 col1\" >778</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow38_col2\" class=\"data row38 col2\" >0.34555</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow38_col3\" class=\"data row38 col3\" >0.98092</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row39\" class=\"row_heading level2 row39\" >z > 50 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow39_col0\" class=\"data row39 col0\" >0.186182</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow39_col1\" class=\"data row39 col1\" >590</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow39_col2\" class=\"data row39 col2\" >0.327591</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow39_col3\" class=\"data row39 col3\" >0.981713</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row40\" class=\"row_heading level1 row40\" >4</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row40\" class=\"row_heading level2 row40\" >all</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow40_col0\" class=\"data row40 col0\" >0.0194515</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow40_col1\" class=\"data row40 col1\" >1103</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow40_col2\" class=\"data row40 col2\" >0.934993</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow40_col3\" class=\"data row40 col3\" >0.944222</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row41\" class=\"row_heading level1 row41\" >5</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row41\" class=\"row_heading level2 row41\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow41_col0\" class=\"data row41 col0\" >nan</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow41_col1\" class=\"data row41 col1\" >0</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow41_col2\" class=\"data row41 col2\" >nan</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow41_col3\" class=\"data row41 col3\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row42\" class=\"row_heading level1 row42\" >6</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row42\" class=\"row_heading level2 row42\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow42_col0\" class=\"data row42 col0\" >-0.715961</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow42_col1\" class=\"data row42 col1\" >60</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow42_col2\" class=\"data row42 col2\" >1.10126</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow42_col3\" class=\"data row42 col3\" >0.79516</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row43\" class=\"row_heading level1 row43\" >7</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row43\" class=\"row_heading level2 row43\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow43_col0\" class=\"data row43 col0\" >-1.01601</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow43_col1\" class=\"data row43 col1\" >62</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow43_col2\" class=\"data row43 col2\" >3.26089</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow43_col3\" class=\"data row43 col3\" >0.869287</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row44\" class=\"row_heading level1 row44\" >8</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row44\" class=\"row_heading level2 row44\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow44_col0\" class=\"data row44 col0\" >0.195787</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow44_col1\" class=\"data row44 col1\" >122</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow44_col2\" class=\"data row44 col2\" >1.01047</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow44_col3\" class=\"data row44 col3\" >0.930358</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel0_row45\" class=\"row_heading level0 row45\" rowspan=9>Temperature</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row45\" class=\"row_heading level1 row45\" >0</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row45\" class=\"row_heading level2 row45\" >z < 15 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow45_col0\" class=\"data row45 col0\" >0.023639</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow45_col1\" class=\"data row45 col1\" >244</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow45_col2\" class=\"data row45 col2\" >1.4207</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow45_col3\" class=\"data row45 col3\" >0.942963</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row46\" class=\"row_heading level1 row46\" >1</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row46\" class=\"row_heading level2 row46\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow46_col0\" class=\"data row46 col0\" >-0.206281</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow46_col1\" class=\"data row46 col1\" >81</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow46_col2\" class=\"data row46 col2\" >0.642737</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow46_col3\" class=\"data row46 col3\" >0.920731</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row47\" class=\"row_heading level1 row47\" >2</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row47\" class=\"row_heading level2 row47\" >z >= 22 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow47_col0\" class=\"data row47 col0\" >-0.0626896</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow47_col1\" class=\"data row47 col1\" >778</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow47_col2\" class=\"data row47 col2\" >0.470799</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow47_col3\" class=\"data row47 col3\" >0.93255</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row48\" class=\"row_heading level1 row48\" >3</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row48\" class=\"row_heading level2 row48\" >z > 50 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow48_col0\" class=\"data row48 col0\" >-0.0100127</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow48_col1\" class=\"data row48 col1\" >590</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow48_col2\" class=\"data row48 col2\" >0.442389</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow48_col3\" class=\"data row48 col3\" >0.937771</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row49\" class=\"row_heading level1 row49\" >4</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row49\" class=\"row_heading level2 row49\" >all</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow49_col0\" class=\"data row49 col0\" >-0.0541372</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow49_col1\" class=\"data row49 col1\" >1103</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow49_col2\" class=\"data row49 col2\" >0.795723</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow49_col3\" class=\"data row49 col3\" >0.95304</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row50\" class=\"row_heading level1 row50\" >5</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row50\" class=\"row_heading level2 row50\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow50_col0\" class=\"data row50 col0\" >nan</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow50_col1\" class=\"data row50 col1\" >0</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow50_col2\" class=\"data row50 col2\" >nan</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow50_col3\" class=\"data row50 col3\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row51\" class=\"row_heading level1 row51\" >6</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row51\" class=\"row_heading level2 row51\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow51_col0\" class=\"data row51 col0\" >0.110444</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow51_col1\" class=\"data row51 col1\" >60</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow51_col2\" class=\"data row51 col2\" >0.400089</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow51_col3\" class=\"data row51 col3\" >0.711228</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row52\" class=\"row_heading level1 row52\" >7</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row52\" class=\"row_heading level2 row52\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow52_col0\" class=\"data row52 col0\" >0.446745</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow52_col1\" class=\"data row52 col1\" >62</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow52_col2\" class=\"data row52 col2\" >2.37849</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow52_col3\" class=\"data row52 col3\" >0.877163</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row53\" class=\"row_heading level1 row53\" >8</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row53\" class=\"row_heading level2 row53\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow53_col0\" class=\"data row53 col0\" >-0.234073</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow53_col1\" class=\"data row53 col1\" >122</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow53_col2\" class=\"data row53 col2\" >1.0407</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow53_col3\" class=\"data row53 col3\" >0.955068</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel0_row54\" class=\"row_heading level0 row54\" rowspan=9>dSi</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row54\" class=\"row_heading level1 row54\" >0</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row54\" class=\"row_heading level2 row54\" >z < 15 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow54_col0\" class=\"data row54 col0\" >-4.44601</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow54_col1\" class=\"data row54 col1\" >241</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow54_col2\" class=\"data row54 col2\" >11.8623</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow54_col3\" class=\"data row54 col3\" >0.816693</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row55\" class=\"row_heading level1 row55\" >1</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row55\" class=\"row_heading level2 row55\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow55_col0\" class=\"data row55 col0\" >-3.79019</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow55_col1\" class=\"data row55 col1\" >80</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow55_col2\" class=\"data row55 col2\" >7.39976</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow55_col3\" class=\"data row55 col3\" >0.764308</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row56\" class=\"row_heading level1 row56\" >2</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row56\" class=\"row_heading level2 row56\" >z >= 22 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow56_col0\" class=\"data row56 col0\" >-3.6108</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow56_col1\" class=\"data row56 col1\" >778</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow56_col2\" class=\"data row56 col2\" >6.59373</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow56_col3\" class=\"data row56 col3\" >0.799729</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row57\" class=\"row_heading level1 row57\" >3</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row57\" class=\"row_heading level2 row57\" >z > 50 m</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow57_col0\" class=\"data row57 col0\" >-3.60678</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow57_col1\" class=\"data row57 col1\" >590</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow57_col2\" class=\"data row57 col2\" >6.77256</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow57_col3\" class=\"data row57 col3\" >0.784428</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row58\" class=\"row_heading level1 row58\" >4</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row58\" class=\"row_heading level2 row58\" >all</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow58_col0\" class=\"data row58 col0\" >-3.80701</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow58_col1\" class=\"data row58 col1\" >1099</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow58_col2\" class=\"data row58 col2\" >8.10069</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow58_col3\" class=\"data row58 col3\" >0.865874</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row59\" class=\"row_heading level1 row59\" >5</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row59\" class=\"row_heading level2 row59\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow59_col0\" class=\"data row59 col0\" >nan</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow59_col1\" class=\"data row59 col1\" >0</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow59_col2\" class=\"data row59 col2\" >nan</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow59_col3\" class=\"data row59 col3\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row60\" class=\"row_heading level1 row60\" >6</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row60\" class=\"row_heading level2 row60\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow60_col0\" class=\"data row60 col0\" >4.03938</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow60_col1\" class=\"data row60 col1\" >60</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow60_col2\" class=\"data row60 col2\" >13.331</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow60_col3\" class=\"data row60 col3\" >0.394536</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row61\" class=\"row_heading level1 row61\" >7</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row61\" class=\"row_heading level2 row61\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow61_col0\" class=\"data row61 col0\" >-6.35367</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow61_col1\" class=\"data row61 col1\" >62</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow61_col2\" class=\"data row61 col2\" >9.52994</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow61_col3\" class=\"data row61 col3\" >0.830581</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel1_row62\" class=\"row_heading level1 row62\" >8</th>\n",
       "                        <th id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93celevel2_row62\" class=\"row_heading level2 row62\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow62_col0\" class=\"data row62 col0\" >-7.73046</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow62_col1\" class=\"data row62 col1\" >119</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow62_col2\" class=\"data row62 col2\" >12.1676</td>\n",
       "                        <td id=\"T_06b10140_73b6_11ea_8cbc_10c37b4d93cerow62_col3\" class=\"data row62 col3\" >0.684511</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f2b0c177910>"
      ]
     },
     "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 (py38)",
   "language": "python",
   "name": "py38"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.1"
  },
  "papermill": {
   "duration": 181.93282,
   "end_time": "2020-04-01T01:13:42.240294",
   "environment_variables": {},
   "exception": null,
   "input_path": "vET-HC1905-DFO-NutChlPhys-Base.ipynb",
   "output_path": "vET-HC1905-DFO-NutChlPhys-2009.ipynb",
   "parameters": {
    "year": 2009
   },
   "start_time": "2020-04-01T01:10:40.307474",
   "version": "2.0.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}