{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "papermill": {
     "duration": 2.36835,
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     "exception": false,
     "start_time": "2020-04-01T01:35:18.532942",
     "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": 0.022013,
     "end_time": "2020-04-01T01:35:20.940575",
     "exception": false,
     "start_time": "2020-04-01T01:35:20.918562",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       " $('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": 0.019318,
     "end_time": "2020-04-01T01:35:20.975928",
     "exception": false,
     "start_time": "2020-04-01T01:35:20.956610",
     "status": "completed"
    },
    "tags": [
     "parameters"
    ]
   },
   "outputs": [],
   "source": [
    "PATH= '/results2/SalishSea/nowcast-green.201905/'\n",
    "year=2007"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "papermill": {
     "duration": 0.019203,
     "end_time": "2020-04-01T01:35:21.011220",
     "exception": false,
     "start_time": "2020-04-01T01:35:20.992017",
     "status": "completed"
    },
    "tags": [
     "injected-parameters"
    ]
   },
   "outputs": [],
   "source": [
    "# Parameters\n",
    "year = 2015\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "papermill": {
     "duration": 0.021177,
     "end_time": "2020-04-01T01:35:21.048508",
     "exception": false,
     "start_time": "2020-04-01T01:35:21.027331",
     "status": "completed"
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    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "# Year: 2015"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(Markdown('''# Year: '''+ str(year)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.016173,
     "end_time": "2020-04-01T01:35:21.080738",
     "exception": false,
     "start_time": "2020-04-01T01:35:21.064565",
     "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": 0.015949,
     "end_time": "2020-04-01T01:35:21.112709",
     "exception": false,
     "start_time": "2020-04-01T01:35:21.096760",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "#### Define date range and load observations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "papermill": {
     "duration": 0.780438,
     "end_time": "2020-04-01T01:35:21.909356",
     "exception": false,
     "start_time": "2020-04-01T01:35:21.128918",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "569 data points\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
       "      <th>Pressure</th>\n",
       "      <th>Depth</th>\n",
       "      <th>N</th>\n",
       "      <th>Si</th>\n",
       "      <th>Chlorophyll_Extracted</th>\n",
       "      <th>ConsT</th>\n",
       "      <th>AbsSal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>48.300833</td>\n",
       "      <td>-124.000333</td>\n",
       "      <td>1.9</td>\n",
       "      <td>None</td>\n",
       "      <td>15.31</td>\n",
       "      <td>32.14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.859421</td>\n",
       "      <td>29.227507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>48.300833</td>\n",
       "      <td>-124.000333</td>\n",
       "      <td>6.6</td>\n",
       "      <td>None</td>\n",
       "      <td>17.13</td>\n",
       "      <td>33.90</td>\n",
       "      <td>2.57</td>\n",
       "      <td>9.777243</td>\n",
       "      <td>29.484341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>48.300833</td>\n",
       "      <td>-124.000333</td>\n",
       "      <td>6.7</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.771987</td>\n",
       "      <td>29.484839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>48.300833</td>\n",
       "      <td>-124.000333</td>\n",
       "      <td>11.0</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.439995</td>\n",
       "      <td>30.144549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>48.300833</td>\n",
       "      <td>-124.000333</td>\n",
       "      <td>11.0</td>\n",
       "      <td>None</td>\n",
       "      <td>20.62</td>\n",
       "      <td>37.65</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.433733</td>\n",
       "      <td>30.157913</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year  Month   Day        Lat         Lon  Pressure Depth      N     Si  \\\n",
       "0  2015.0    2.0  11.0  48.300833 -124.000333       1.9  None  15.31  32.14   \n",
       "1  2015.0    2.0  11.0  48.300833 -124.000333       6.6  None  17.13  33.90   \n",
       "2  2015.0    2.0  11.0  48.300833 -124.000333       6.7  None    NaN    NaN   \n",
       "3  2015.0    2.0  11.0  48.300833 -124.000333      11.0  None    NaN    NaN   \n",
       "4  2015.0    2.0  11.0  48.300833 -124.000333      11.0  None  20.62  37.65   \n",
       "\n",
       "   Chlorophyll_Extracted     ConsT     AbsSal  \n",
       "0                    NaN  9.859421  29.227507  \n",
       "1                   2.57  9.777243  29.484341  \n",
       "2                    NaN  9.771987  29.484839  \n",
       "3                    NaN  9.439995  30.144549  \n",
       "4                    NaN  9.433733  30.157913  "
      ]
     },
     "execution_count": 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": 102.53623,
     "end_time": "2020-04-01T01:37:04.463157",
     "exception": false,
     "start_time": "2020-04-01T01:35:21.926927",
     "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": 0.035225,
     "end_time": "2020-04-01T01:37:04.519531",
     "exception": false,
     "start_time": "2020-04-01T01:37:04.484306",
     "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": 0.045241,
     "end_time": "2020-04-01T01:37:04.581302",
     "exception": false,
     "start_time": "2020-04-01T01:37:04.536061",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Parameter values from 01jan15 namelist_smelt_cfg:\n",
      "   Chl:N =  2.0\n",
      "   zz_bfsi =  6e-05\n",
      "   zz_remin_d_bsi =  1.1e-06\n",
      "   zz_w_sink_d_bsi =  0.00028\n",
      "   zz_alpha_b_si =  0.88\n",
      "   zz_alpha_b_d =  0.0\n"
     ]
    }
   ],
   "source": [
    "# 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": 0.023903,
     "end_time": "2020-04-01T01:37:04.621882",
     "exception": false,
     "start_time": "2020-04-01T01:37:04.597979",
     "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": 0.041946,
     "end_time": "2020-04-01T01:37:04.680923",
     "exception": false,
     "start_time": "2020-04-01T01:37:04.638977",
     "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": 0.053207,
     "end_time": "2020-04-01T01:37:04.751259",
     "exception": false,
     "start_time": "2020-04-01T01:37:04.698052",
     "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": 0.031532,
     "end_time": "2020-04-01T01:37:04.799801",
     "exception": false,
     "start_time": "2020-04-01T01:37:04.768269",
     "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": 0.859098,
     "end_time": "2020-04-01T01:37:05.676281",
     "exception": false,
     "start_time": "2020-04-01T01:37:04.817183",
     "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": 0.028451,
     "end_time": "2020-04-01T01:37:05.725931",
     "exception": false,
     "start_time": "2020-04-01T01:37:05.697480",
     "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": 0.019205,
     "end_time": "2020-04-01T01:37:05.765392",
     "exception": false,
     "start_time": "2020-04-01T01:37:05.746187",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Nitrate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "papermill": {
     "duration": 0.463609,
     "end_time": "2020-04-01T01:37:06.248295",
     "exception": false,
     "start_time": "2020-04-01T01:37:05.784686",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_4b94aac0_73b9_11ea_b3b0_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_4b94aac0_73b9_11ea_b3b0_10c37b4d93celevel0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <th id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93celevel1_row0\" class=\"row_heading level1 row0\" >z < 15 m</th>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow0_col0\" class=\"data row0 col0\" >-0.69409</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow0_col1\" class=\"data row0 col1\" >127</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow0_col2\" class=\"data row0 col2\" >4.84458</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow0_col3\" class=\"data row0 col3\" >0.889856</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93celevel0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <th id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93celevel1_row1\" class=\"row_heading level1 row1\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow1_col0\" class=\"data row1 col0\" >-0.49358</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow1_col1\" class=\"data row1 col1\" >38</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow1_col2\" class=\"data row1 col2\" >3.98725</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow1_col3\" class=\"data row1 col3\" >0.6468</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93celevel0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <th id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93celevel1_row2\" class=\"row_heading level1 row2\" >z >= 22 m</th>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow2_col0\" class=\"data row2 col0\" >-2.13697</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow2_col1\" class=\"data row2 col1\" >368</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow2_col2\" class=\"data row2 col2\" >2.80707</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow2_col3\" class=\"data row2 col3\" >0.767835</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93celevel0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <th id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93celevel1_row3\" class=\"row_heading level1 row3\" >z > 50 m</th>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow3_col0\" class=\"data row3 col0\" >-2.37822</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow3_col1\" class=\"data row3 col1\" >286</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow3_col2\" class=\"data row3 col2\" >2.82053</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow3_col3\" class=\"data row3 col3\" >0.728406</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93celevel0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <th id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93celevel1_row4\" class=\"row_heading level1 row4\" >all</th>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow4_col0\" class=\"data row4 col0\" >-1.67601</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow4_col1\" class=\"data row4 col1\" >533</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow4_col2\" class=\"data row4 col2\" >3.48799</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow4_col3\" class=\"data row4 col3\" >0.934467</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93celevel0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <th id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93celevel1_row5\" class=\"row_heading level1 row5\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow5_col0\" class=\"data row5 col0\" >-1.477</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow5_col1\" class=\"data row5 col1\" >8</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow5_col2\" class=\"data row5 col2\" >3.0851</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow5_col3\" class=\"data row5 col3\" >0.792953</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93celevel0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <th id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93celevel1_row6\" class=\"row_heading level1 row6\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow6_col0\" class=\"data row6 col0\" >-1.77523</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow6_col1\" class=\"data row6 col1\" >67</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow6_col2\" class=\"data row6 col2\" >5.52535</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow6_col3\" class=\"data row6 col3\" >0.743014</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93celevel0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <th id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93celevel1_row7\" class=\"row_heading level1 row7\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow7_col0\" class=\"data row7 col0\" >-1.12733</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow7_col1\" class=\"data row7 col1\" >29</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow7_col2\" class=\"data row7 col2\" >3.46787</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow7_col3\" class=\"data row7 col3\" >0.896596</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93celevel0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <th id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93celevel1_row8\" class=\"row_heading level1 row8\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow8_col0\" class=\"data row8 col0\" >3.2739</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow8_col1\" class=\"data row8 col1\" >23</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow8_col2\" class=\"data row8 col2\" >4.71031</td>\n",
       "                        <td id=\"T_4b94aac0_73b9_11ea_b3b0_10c37b4d93cerow8_col3\" class=\"data row8 col3\" >0.840876</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7fee50819f70>"
      ]
     },
     "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": 0.583383,
     "end_time": "2020-04-01T01:37:06.851887",
     "exception": false,
     "start_time": "2020-04-01T01:37:06.268504",
     "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": 0.63502,
     "end_time": "2020-04-01T01:37:07.508678",
     "exception": false,
     "start_time": "2020-04-01T01:37:06.873658",
     "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": "iVBORw0KGgoAAAANSUhEUgAABIMAAABFCAYAAADZ9SZNAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8li6FKAAANeklEQVR4nO3dTU4c1xrG8ecEaDNJ1PZ1pGR0HdhAgsnAUgaWjJMFBHJ3ADvAuuMMLLyDJjsIZANpkDyI5EHA8wwgurMMIoPkCQYl7x3UKVwp90c14K7zVv1/0hHurq/DQ7uq6+1T1cHMBAAAAAAAgHb4oO4OAAAAAAAAYHooBgEAAAAAALQIxSAAAAAAAIAWoRgEAAAAAADQIhSDAAAAAAAAWoRiEAAAAAAAQItQDAIAAAAAAGgRikEAACAZIYReCMFCCCeF1g8hLNXQl83Yl1Fta9r9AgAAuC6KQQAAIDV7ZnY7b5J6kg5DCKvT7ISZPTOzkDdJu7FvodCeSFIsWq1fdVvXXR4AAGASFIMAAEDSzGxX0pqkH0II3SrLxFE9OzfclVcjpj2S9OM11n3d5QEAACqjGAQAAJIXC0KvJCU5esbMXprZaV3LAwAATIJiEAAA8GJP0pf5gxDCagjhKN675zC/r1AcEbQlaTVefrUzav6bENe7Wnq8Ge93ZCGEnRDCQvyZ3wepO8Hy/cK0pdj/fL39uM5Ko6YAAAAoBgEAAC+OJJULOI/j/Xz2JO1IkpmtSXomaTfed2ht1Pzv0Yayy9sWJa1K6kt6IukzScsaP8qpuPxKoVi0I+mppNuSupL68fdkZBEAAKiEYhAAAPBiUdJx/sDMds0sf9yTtDBq4UnnvwE9MzuN23yp7ObTx7FosyfpX2OW3y0tn/d3If4up8oKTF8OXQMAAMAAFIMAAIAXy8qKIpKkeNnVVgjhUFlRRKMulZp0/htwXPj3K2Ujm4rGbfvXYestjBJ6rPi7AAAAVEUxCAAAJC+EsKLsErGnhaePJB2Z2X1J9yusZtL5U3UsaSOEcCTppZlt190hAADgy2zdHQAAABgljoL5QdJGfl+cwoiefPTNd6XFjpTdZ6erbETRwZj5PVlQdi+h08JlbwAAAJUxMggAAKRmJX471kkI4UTxRsrFETCxKLQtqR9HyCyW1rGnrGjyu7KbRo+b35tDSfk3o53EkVMAAACVBDOruw8AAACoIISwqay49Tg+7ir7VrINM/Ne4AIAAFPCyCAAAAA/TiXdCSEsSJcjpPLnAQAAKuGeQQAAAE6Y2XYcDdQPIdyJT+9JelRjtwAAgDNcJgYAAAAAANAiXCYGAAAAAADQIrVfJnb37l27d+9e3d0AAAAAAABojMPDwz/N7ONB02ovBt27d08HBwd1dwMAAAAAAKAxQgj/GzaNy8QAAAAAAABahGIQAAAAAABAi1AMAgAAAAAAaBGKQQAAAAAAAC1CMQi1CCFcNvzT/Py8Qgian5+vuyuudTqdf7zOqrSPPvpIkrS9va1vvvlG29vbNf8WaLoXL17o6dOnevHixVS3+cUXX2h2dlazs7P69NNPG/laz/cBnU7nnec4BgH+Ff8fe92HsZ8CUKfav00M7VM+qIUQZGY19SYt8/PzevPmjSTpzZs3mp+f19nZWc298qfT6eji4mLi5V6/fv2Pv8HPP/8sSVpfX7/R/gFSVpR59OiRzs/P1el0tL+/rwcPHrz3bX711Vf6+++/L5/7448/tLGxIak5r/XiPuDi4uLyRGvQfoFjEOBP+b2kx30Y+ykAdWNkEJCQvAgx7DGquUohKFfO/Keffrpud4CBnj9/rvPzc/311186Pz/X8+fPp7LNYiGoqEmv9fI+4OLi4lr7BQDp87YPYz8FoG4Ug4CE3Lp1a+RjVDM3N3flZcuZf/vtt9ftDjDQw4cP1el0NDMzo06no4cPH05lmx98MPjQ36TXenkfMDc3d639AoD0eduHsZ8CUDeKQZi68jBXhr2+dXZ2dlmMuHXrFpeIXdH5+fmV3lB9+OGHOjs7U6/X09dff61er+dqyDl8efDggfb39/X9999P5RKxfJu//PKLPv/8c83MzGhmZkaffPJJ417rxX3A3Nyczs/Ph+4XOAYB/pT/33rch7GfAlC3UPfOZXl52Q4ODmrtAwAAAAAAQJOEEA7NbHnQNEYGAQAAAAAAtAjFIAAAAAAAgBahGAQAAAAAANAiFIMAAAAAAABapPYbSIcQXkv6rdZOtNddSX/W3YkGItf6kP10kXd9yH66yLs+ZF8fsp8u8q4P2U8XeU/Xv83s40ETZqfdkwF+G3Z3a7xfIYQDsr955Fofsp8u8q4P2U8XedeH7OtD9tNF3vUh++ki73RwmRgAAAAAAECLUAwCAAAAAABokRSKQdt1d6DFyP79INf6kP10kXd9yH66yLs+ZF8fsp8u8q4P2U8XeSei9htIAwAAAAAAYHpSGBkEAAAAAACAKaEYBAAAAAAA0CJji0EhhKUQwmEIweLPpdL0XgjhJE5bKU3rxumbpecP4zLFtlChLxNvyzMP2Y/rY4qc5LoQQujHPh6V++GVh+xL82x6zt5D3lddX+o8ZB+n5fuak7iv6V7n965L6nmHEFZj38qtfxO/f51Sz76wnZ3C69ztfr3IQ/alaUflPnqSWN5Dz3tG9cMrR9k34nzUQ97j+oiKzGxkk3QkaUVSV9KmJJPUjdN6knbitJUB044knUjaHLDO1bhcN19mTD+utC3PzUn2Q/uYanOU63qcthqnLdSdXRuyL8yzHre3VXduTc77Kuvz0JxkvxC3sx4fL9WdWwvyLrae5/2Ls+z7edaSluI2OaZOJ/udwrR1SSd159aQvIetb+z7G4/NUfaNOB91kre7c9AU27g/wIqkXum5w/yPUQ5d2cF2vTR/f9gfb8IX5ZW25bV5yH5cH1NsHnLN+zlg3onWn1rzkn183I3r3ZHTkzUveV9lfak3R9nvlPvpsXnJuzTfgqSjurNrQ/Zxf26leXfK2/TWnGS/MGDa0aD/E6m3lPIes75K+yBPzUv2VaZ5aB7yHtdHWvU28jIxM9uT9KT09LGkxTgk7NTMTkvTHo9a51VMc1up8JD9qD7edD9uiodcC/3M582HPR7cdD+myUv20ZayTyPccpZ3o3jIPmSXg63K+etc8pH3gNl3JG3cdB+mzUP2peeKhj3vgofslY3CKk97qYTfJw6TSt6jpNKPm+Yh+ybxkLfHc9BUjb1n0ICD6JKyyltX0qvStKP4fBVPJrh2+7rbcslD9iP6mCwPuUqX18JuSdqXtDHiDa0bHrKP1y9/Z2bPKm47WR7yvsL6XHCQfX6d/p3CdfxbFfuQHAd5X4rr6RaL/p45yX43f33HD1hWJP1YsR/JcpJ92bHe7n9cSSTvURp7vuQg+0bxkLfHc9AUTfRtYiGEVUkys21JdwbMcjrk+WE+U/bJWD+MvmnlTWzLNQ/Zl/roQuK53tHbna77A3lZwtn39O6nDe4lnPek63Mn0ezzk7E1M7sv6ZGk9byvniWad9ETNWBE1iCpZm9ma5JWQgim7GRhrQkfsBQlmv2xpG5p+SU14D1NjXmP0orzpUSzbywPeXs8B01F5WJQ/LR8S2+Hgb3Su3/4Rb1bLRzkvpk9NrPT+MnYS2XXFg9znW255yH7AX1MXuq5mtmemW2Y2aKk/4YQRq3PlVSzj59SLDftYJJq3ldcnysJZ38qSWa2EX++VDZS4j8V+pGshPMuWpG0W2H7rqScfQjhUNKepNuS7kvaadI3z6SafdyvHEvait8ItKrs9e+6EFdz3qM0/nwp4ewbyUPeHs9BUzJbZaZYtesru/b6OD59qncr+11V2MEP+DTmleI1fvGAXRw++tl1tuWdh+yH9DFpHnIt2ZO0Jsl9kSLx7NeUfYpppT5vmlkY15cUJZ73yPV5l3j2g/bVR3J6+YaUfN55H/P7Lbg4VlaVcvax6LMUR8BJ0ssQwrayT6bd37cp5ezjvx/H/h0qK4LuSvp1XD9SVXfeY0a0Nfp8KfHsG8dD3h7PQVMzdmRQDHlf2ZDay5Dza91jNS63rOwPMm6d5TebC8rehMrM7pvZ7UI7vc62PPOQ/bA+piz1XAesK+f+IJR69nEkVsibsiLcM+eFoGTzHrc+z1LPPu9TadqiBheJkpd63oXHj+X8ywDKHGR/R4OPn+4vnXGQvczs2MwWY3uibGSQyw+2Ush71LqafL6UevZN4yFvj+egKapymdi+pKeSjuMQz2I1cFfZsKz8Wr0FjbkhX/xUrB9/KoSwqeyAPO7AMPG2GsBD9qP6mKrUc+2G7Iau+fpWlH3rz9NJfslEpZ590ySd9zXW50HS2cdpz/T28o0VSd/J771sPOQtNehT+oKksy+cvGwW1r8uv6/1oqSzj4+X8r6FEHYkbTs+sU4l71Ga+v7GQ/ZN4iFvj+eg6bER3zuvrHpvA9pOnN5V9vWoJ8qGfy4Vlt2Kz+fLnEhajdPW4/ymrJK4MKof19mW1+Yh+3F9TLF5yLXQz35c35H317On7Evz9SVt1Z1dk/O+yvpSb16yj9N7hf3MSt3ZtSBvt/sUz9krO1nhmFpP9pvx+RNJm3Xn1pC8R62v0vsbT81R9o04H/WQ97g+0qq3EIMGAAAAAABAC0z01fIAAAAAAADwjWIQAAAAAABAi1AMAgAAAAAAaBGKQQAAAAAAAC1CMQgAAAAAAKBFKAYBAAAAAAC0CMUgAAAAAACAFqEYBAAAAAAA0CIUgwAAAAAAAFrk//+kR5FdqunyAAAAAElFTkSuQmCC\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": 0.403804,
     "end_time": "2020-04-01T01:37:07.937047",
     "exception": false,
     "start_time": "2020-04-01T01:37:07.533243",
     "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": 0.023791,
     "end_time": "2020-04-01T01:37:07.985157",
     "exception": false,
     "start_time": "2020-04-01T01:37:07.961366",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Dissolved Silica"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "papermill": {
     "duration": 0.052544,
     "end_time": "2020-04-01T01:37:08.061243",
     "exception": false,
     "start_time": "2020-04-01T01:37:08.008699",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_4ca994d4_73b9_11ea_b3b0_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_4ca994d4_73b9_11ea_b3b0_10c37b4d93celevel0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <th id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93celevel1_row0\" class=\"row_heading level1 row0\" >z < 15 m</th>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow0_col0\" class=\"data row0 col0\" >-3.37252</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow0_col1\" class=\"data row0 col1\" >127</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow0_col2\" class=\"data row0 col2\" >8.9829</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow0_col3\" class=\"data row0 col3\" >0.785152</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93celevel0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <th id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93celevel1_row1\" class=\"row_heading level1 row1\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow1_col0\" class=\"data row1 col0\" >-2.93607</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow1_col1\" class=\"data row1 col1\" >38</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow1_col2\" class=\"data row1 col2\" >8.0882</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow1_col3\" class=\"data row1 col3\" >0.646524</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93celevel0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <th id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93celevel1_row2\" class=\"row_heading level1 row2\" >z >= 22 m</th>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow2_col0\" class=\"data row2 col0\" >-6.38061</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow2_col1\" class=\"data row2 col1\" >368</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow2_col2\" class=\"data row2 col2\" >7.96496</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow2_col3\" class=\"data row2 col3\" >0.788195</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93celevel0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <th id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93celevel1_row3\" class=\"row_heading level1 row3\" >z > 50 m</th>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow3_col0\" class=\"data row3 col0\" >-6.87779</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow3_col1\" class=\"data row3 col1\" >286</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow3_col2\" class=\"data row3 col2\" >8.2254</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow3_col3\" class=\"data row3 col3\" >0.790252</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93celevel0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <th id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93celevel1_row4\" class=\"row_heading level1 row4\" >all</th>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow4_col0\" class=\"data row4 col0\" >-5.41828</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow4_col1\" class=\"data row4 col1\" >533</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow4_col2\" class=\"data row4 col2\" >8.22754</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow4_col3\" class=\"data row4 col3\" >0.85954</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93celevel0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <th id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93celevel1_row5\" class=\"row_heading level1 row5\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow5_col0\" class=\"data row5 col0\" >-4.86894</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow5_col1\" class=\"data row5 col1\" >8</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow5_col2\" class=\"data row5 col2\" >6.22762</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow5_col3\" class=\"data row5 col3\" >0.78727</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93celevel0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <th id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93celevel1_row6\" class=\"row_heading level1 row6\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow6_col0\" class=\"data row6 col0\" >-0.781434</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow6_col1\" class=\"data row6 col1\" >67</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow6_col2\" class=\"data row6 col2\" >9.99822</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow6_col3\" class=\"data row6 col3\" >0.711514</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93celevel0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <th id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93celevel1_row7\" class=\"row_heading level1 row7\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow7_col0\" class=\"data row7 col0\" >-6.54298</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow7_col1\" class=\"data row7 col1\" >29</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow7_col2\" class=\"data row7 col2\" >8.17587</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow7_col3\" class=\"data row7 col3\" >0.792911</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93celevel0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <th id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93celevel1_row8\" class=\"row_heading level1 row8\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow8_col0\" class=\"data row8 col0\" >-6.40246</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow8_col1\" class=\"data row8 col1\" >23</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow8_col2\" class=\"data row8 col2\" >7.52265</td>\n",
       "                        <td id=\"T_4ca994d4_73b9_11ea_b3b0_10c37b4d93cerow8_col3\" class=\"data row8 col3\" >0.598907</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7fee743a7250>"
      ]
     },
     "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": 0.411133,
     "end_time": "2020-04-01T01:37:08.496592",
     "exception": false,
     "start_time": "2020-04-01T01:37:08.085459",
     "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": 0.501268,
     "end_time": "2020-04-01T01:37:09.023625",
     "exception": false,
     "start_time": "2020-04-01T01:37:08.522357",
     "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": 0.361466,
     "end_time": "2020-04-01T01:37:09.411658",
     "exception": false,
     "start_time": "2020-04-01T01:37:09.050192",
     "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('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": 0.028451,
     "end_time": "2020-04-01T01:37:09.468230",
     "exception": false,
     "start_time": "2020-04-01T01:37:09.439779",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Profiles of NO3 and Dissolved Silica"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "papermill": {
     "duration": 0.668337,
     "end_time": "2020-04-01T01:37:10.163692",
     "exception": false,
     "start_time": "2020-04-01T01:37:09.495355",
     "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": 0.029167,
     "end_time": "2020-04-01T01:37:10.222565",
     "exception": false,
     "start_time": "2020-04-01T01:37:10.193398",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# dSi:NO3 Ratios"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "papermill": {
     "duration": 0.394031,
     "end_time": "2020-04-01T01:37:10.645384",
     "exception": false,
     "start_time": "2020-04-01T01:37:10.251353",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fee75639220>"
      ]
     },
     "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": 0.404171,
     "end_time": "2020-04-01T01:37:11.081941",
     "exception": false,
     "start_time": "2020-04-01T01:37:10.677770",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fee505e1910>"
      ]
     },
     "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": 0.031802,
     "end_time": "2020-04-01T01:37:11.146441",
     "exception": false,
     "start_time": "2020-04-01T01:37:11.114639",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Chlorophyll"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "papermill": {
     "duration": 0.073566,
     "end_time": "2020-04-01T01:37:11.251915",
     "exception": false,
     "start_time": "2020-04-01T01:37:11.178349",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_4e9032da_73b9_11ea_b3b0_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_4e9032da_73b9_11ea_b3b0_10c37b4d93celevel0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <th id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93celevel1_row0\" class=\"row_heading level1 row0\" >z < 15 m</th>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow0_col0\" class=\"data row0 col0\" >-0.114974</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow0_col1\" class=\"data row0 col1\" >90</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow0_col2\" class=\"data row0 col2\" >4.03009</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow0_col3\" class=\"data row0 col3\" >0.521973</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow0_col4\" class=\"data row0 col4\" >0.0107832</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow0_col5\" class=\"data row0 col5\" >90</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow0_col6\" class=\"data row0 col6\" >0.472198</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow0_col7\" class=\"data row0 col7\" >0.537946</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93celevel0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <th id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93celevel1_row1\" class=\"row_heading level1 row1\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow1_col0\" class=\"data row1 col0\" >-0.38143</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow1_col1\" class=\"data row1 col1\" >34</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow1_col2\" class=\"data row1 col2\" >1.02139</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow1_col3\" class=\"data row1 col3\" >0.632218</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow1_col4\" class=\"data row1 col4\" >-0.0871032</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow1_col5\" class=\"data row1 col5\" >34</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow1_col6\" class=\"data row1 col6\" >0.295501</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow1_col7\" class=\"data row1 col7\" >0.728333</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93celevel0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <th id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93celevel1_row2\" class=\"row_heading level1 row2\" >z >= 22 m</th>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow2_col0\" class=\"data row2 col0\" >0.0577223</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow2_col1\" class=\"data row2 col1\" >1</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow2_col2\" class=\"data row2 col2\" >0.0577223</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow2_col3\" class=\"data row2 col3\" >0</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow2_col4\" class=\"data row2 col4\" >0.0547041</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow2_col5\" class=\"data row2 col5\" >1</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow2_col6\" class=\"data row2 col6\" >0.0547041</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow2_col7\" class=\"data row2 col7\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93celevel0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <th id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93celevel1_row3\" class=\"row_heading level1 row3\" >z > 50 m</th>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow3_col0\" class=\"data row3 col0\" >nan</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow3_col1\" class=\"data row3 col1\" >0</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow3_col2\" class=\"data row3 col2\" >nan</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow3_col3\" class=\"data row3 col3\" >nan</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow3_col4\" class=\"data row3 col4\" >nan</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow3_col5\" class=\"data row3 col5\" >0</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow3_col6\" class=\"data row3 col6\" >nan</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow3_col7\" class=\"data row3 col7\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93celevel0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <th id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93celevel1_row4\" class=\"row_heading level1 row4\" >all</th>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow4_col0\" class=\"data row4 col0\" >-0.186068</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow4_col1\" class=\"data row4 col1\" >125</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow4_col2\" class=\"data row4 col2\" >3.46089</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow4_col3\" class=\"data row4 col3\" >0.580621</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow4_col4\" class=\"data row4 col4\" >-0.0154906</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow4_col5\" class=\"data row4 col5\" >125</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow4_col6\" class=\"data row4 col6\" >0.429319</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow4_col7\" class=\"data row4 col7\" >0.676774</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93celevel0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <th id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93celevel1_row5\" class=\"row_heading level1 row5\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow5_col0\" class=\"data row5 col0\" >-0.859972</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow5_col1\" class=\"data row5 col1\" >3</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow5_col2\" class=\"data row5 col2\" >1.07978</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow5_col3\" class=\"data row5 col3\" >0.552293</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow5_col4\" class=\"data row5 col4\" >-0.34048</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow5_col5\" class=\"data row5 col5\" >3</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow5_col6\" class=\"data row5 col6\" >0.361261</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow5_col7\" class=\"data row5 col7\" >0.561712</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93celevel0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <th id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93celevel1_row6\" class=\"row_heading level1 row6\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow6_col0\" class=\"data row6 col0\" >-0.187168</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow6_col1\" class=\"data row6 col1\" >46</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow6_col2\" class=\"data row6 col2\" >4.96997</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow6_col3\" class=\"data row6 col3\" >0.508131</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow6_col4\" class=\"data row6 col4\" >0.0641398</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow6_col5\" class=\"data row6 col5\" >46</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow6_col6\" class=\"data row6 col6\" >0.476528</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow6_col7\" class=\"data row6 col7\" >0.553956</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93celevel0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <th id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93celevel1_row7\" class=\"row_heading level1 row7\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow7_col0\" class=\"data row7 col0\" >1.39006</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow7_col1\" class=\"data row7 col1\" >23</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow7_col2\" class=\"data row7 col2\" >2.9852</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow7_col3\" class=\"data row7 col3\" >0.506031</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow7_col4\" class=\"data row7 col4\" >0.284276</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow7_col5\" class=\"data row7 col5\" >23</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow7_col6\" class=\"data row7 col6\" >0.475082</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow7_col7\" class=\"data row7 col7\" >0.490188</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93celevel0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <th id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93celevel1_row8\" class=\"row_heading level1 row8\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow8_col0\" class=\"data row8 col0\" >-1.72941</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow8_col1\" class=\"data row8 col1\" >18</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow8_col2\" class=\"data row8 col2\" >2.55016</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow8_col3\" class=\"data row8 col3\" >0.436722</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow8_col4\" class=\"data row8 col4\" >-0.416492</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow8_col5\" class=\"data row8 col5\" >18</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow8_col6\" class=\"data row8 col6\" >0.473701</td>\n",
       "                        <td id=\"T_4e9032da_73b9_11ea_b3b0_10c37b4d93cerow8_col7\" class=\"data row8 col7\" >0.465577</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7fee759b2fa0>"
      ]
     },
     "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": 0.458938,
     "end_time": "2020-04-01T01:37:11.744450",
     "exception": false,
     "start_time": "2020-04-01T01:37:11.285512",
     "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": 0.44349,
     "end_time": "2020-04-01T01:37:12.222597",
     "exception": false,
     "start_time": "2020-04-01T01:37:11.779107",
     "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": 0.035476,
     "end_time": "2020-04-01T01:37:12.293834",
     "exception": false,
     "start_time": "2020-04-01T01:37:12.258358",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Conservative Temperature "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "papermill": {
     "duration": 0.064323,
     "end_time": "2020-04-01T01:37:12.393967",
     "exception": false,
     "start_time": "2020-04-01T01:37:12.329644",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_4f3ebf30_73b9_11ea_b3b0_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_4f3ebf30_73b9_11ea_b3b0_10c37b4d93celevel0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <th id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93celevel1_row0\" class=\"row_heading level1 row0\" >z < 15 m</th>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow0_col0\" class=\"data row0 col0\" >-0.132824</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow0_col1\" class=\"data row0 col1\" >136</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow0_col2\" class=\"data row0 col2\" >0.89454</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow0_col3\" class=\"data row0 col3\" >0.977581</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93celevel0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <th id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93celevel1_row1\" class=\"row_heading level1 row1\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow1_col0\" class=\"data row1 col0\" >-0.159216</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow1_col1\" class=\"data row1 col1\" >40</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow1_col2\" class=\"data row1 col2\" >0.554603</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow1_col3\" class=\"data row1 col3\" >0.934825</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93celevel0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <th id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93celevel1_row2\" class=\"row_heading level1 row2\" >z >= 22 m</th>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow2_col0\" class=\"data row2 col0\" >0.0553272</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow2_col1\" class=\"data row2 col1\" >390</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow2_col2\" class=\"data row2 col2\" >0.35997</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow2_col3\" class=\"data row2 col3\" >0.933263</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93celevel0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <th id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93celevel1_row3\" class=\"row_heading level1 row3\" >z > 50 m</th>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow3_col0\" class=\"data row3 col0\" >0.0955125</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow3_col1\" class=\"data row3 col1\" >303</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow3_col2\" class=\"data row3 col2\" >0.3517</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow3_col3\" class=\"data row3 col3\" >0.930767</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93celevel0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <th id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93celevel1_row4\" class=\"row_heading level1 row4\" >all</th>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow4_col0\" class=\"data row4 col0\" >-0.00504425</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow4_col1\" class=\"data row4 col1\" >566</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow4_col2\" class=\"data row4 col2\" >0.550725</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow4_col3\" class=\"data row4 col3\" >0.977906</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93celevel0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <th id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93celevel1_row5\" class=\"row_heading level1 row5\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow5_col0\" class=\"data row5 col0\" >-0.233373</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow5_col1\" class=\"data row5 col1\" >13</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow5_col2\" class=\"data row5 col2\" >0.493924</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow5_col3\" class=\"data row5 col3\" >0.740153</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93celevel0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <th id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93celevel1_row6\" class=\"row_heading level1 row6\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow6_col0\" class=\"data row6 col0\" >-0.0808868</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow6_col1\" class=\"data row6 col1\" >69</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow6_col2\" class=\"data row6 col2\" >0.396238</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow6_col3\" class=\"data row6 col3\" >0.748258</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93celevel0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <th id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93celevel1_row7\" class=\"row_heading level1 row7\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow7_col0\" class=\"data row7 col0\" >0.0112905</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow7_col1\" class=\"data row7 col1\" >29</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow7_col2\" class=\"data row7 col2\" >1.68229</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow7_col3\" class=\"data row7 col3\" >0.904618</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93celevel0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <th id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93celevel1_row8\" class=\"row_heading level1 row8\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow8_col0\" class=\"data row8 col0\" >-0.391056</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow8_col1\" class=\"data row8 col1\" >25</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow8_col2\" class=\"data row8 col2\" >0.714121</td>\n",
       "                        <td id=\"T_4f3ebf30_73b9_11ea_b3b0_10c37b4d93cerow8_col3\" class=\"data row8 col3\" >0.922247</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7fee5059a4f0>"
      ]
     },
     "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": 0.496613,
     "end_time": "2020-04-01T01:37:12.927286",
     "exception": false,
     "start_time": "2020-04-01T01:37:12.430673",
     "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": 0.51947,
     "end_time": "2020-04-01T01:37:13.484561",
     "exception": false,
     "start_time": "2020-04-01T01:37:12.965091",
     "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": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.037614,
     "end_time": "2020-04-01T01:37:13.560274",
     "exception": false,
     "start_time": "2020-04-01T01:37:13.522660",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Reference Salinity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "papermill": {
     "duration": 0.066243,
     "end_time": "2020-04-01T01:37:13.664237",
     "exception": false,
     "start_time": "2020-04-01T01:37:13.597994",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_5000966e_73b9_11ea_b3b0_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_5000966e_73b9_11ea_b3b0_10c37b4d93celevel0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <th id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93celevel1_row0\" class=\"row_heading level1 row0\" >z < 15 m</th>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow0_col0\" class=\"data row0 col0\" >-0.209793</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow0_col1\" class=\"data row0 col1\" >136</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow0_col2\" class=\"data row0 col2\" >1.28597</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow0_col3\" class=\"data row0 col3\" >0.972119</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93celevel0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <th id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93celevel1_row1\" class=\"row_heading level1 row1\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow1_col0\" class=\"data row1 col0\" >0.113384</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow1_col1\" class=\"data row1 col1\" >40</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow1_col2\" class=\"data row1 col2\" >0.478224</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow1_col3\" class=\"data row1 col3\" >0.923512</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93celevel0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <th id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93celevel1_row2\" class=\"row_heading level1 row2\" >z >= 22 m</th>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow2_col0\" class=\"data row2 col0\" >0.0939602</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow2_col1\" class=\"data row2 col1\" >390</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow2_col2\" class=\"data row2 col2\" >0.262561</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow2_col3\" class=\"data row2 col3\" >0.985888</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93celevel0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <th id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93celevel1_row3\" class=\"row_heading level1 row3\" >z > 50 m</th>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow3_col0\" class=\"data row3 col0\" >0.0901776</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow3_col1\" class=\"data row3 col1\" >303</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow3_col2\" class=\"data row3 col2\" >0.224463</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow3_col3\" class=\"data row3 col3\" >0.988481</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93celevel0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <th id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93celevel1_row4\" class=\"row_heading level1 row4\" >all</th>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow4_col0\" class=\"data row4 col0\" >0.0223463</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow4_col1\" class=\"data row4 col1\" >566</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow4_col2\" class=\"data row4 col2\" >0.678989</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow4_col3\" class=\"data row4 col3\" >0.983453</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93celevel0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <th id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93celevel1_row5\" class=\"row_heading level1 row5\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow5_col0\" class=\"data row5 col0\" >0.320075</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow5_col1\" class=\"data row5 col1\" >13</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow5_col2\" class=\"data row5 col2\" >0.682321</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow5_col3\" class=\"data row5 col3\" >0.383104</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93celevel0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <th id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93celevel1_row6\" class=\"row_heading level1 row6\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow6_col0\" class=\"data row6 col0\" >-0.226097</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow6_col1\" class=\"data row6 col1\" >69</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow6_col2\" class=\"data row6 col2\" >0.89296</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow6_col3\" class=\"data row6 col3\" >0.95965</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93celevel0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <th id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93celevel1_row7\" class=\"row_heading level1 row7\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow7_col0\" class=\"data row7 col0\" >-0.922775</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow7_col1\" class=\"data row7 col1\" >29</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow7_col2\" class=\"data row7 col2\" >2.21028</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow7_col3\" class=\"data row7 col3\" >0.960429</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93celevel0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <th id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93celevel1_row8\" class=\"row_heading level1 row8\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow8_col0\" class=\"data row8 col0\" >0.386733</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow8_col1\" class=\"data row8 col1\" >25</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow8_col2\" class=\"data row8 col2\" >0.941498</td>\n",
       "                        <td id=\"T_5000966e_73b9_11ea_b3b0_10c37b4d93cerow8_col3\" class=\"data row8 col3\" >0.859428</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7fee7548e1c0>"
      ]
     },
     "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": 0.385679,
     "end_time": "2020-04-01T01:37:14.089313",
     "exception": false,
     "start_time": "2020-04-01T01:37:13.703634",
     "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": 0.498665,
     "end_time": "2020-04-01T01:37:14.627566",
     "exception": false,
     "start_time": "2020-04-01T01:37:14.128901",
     "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": 0.040887,
     "end_time": "2020-04-01T01:37:14.709622",
     "exception": false,
     "start_time": "2020-04-01T01:37:14.668735",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Density"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "papermill": {
     "duration": 0.068826,
     "end_time": "2020-04-01T01:37:14.819229",
     "exception": false,
     "start_time": "2020-04-01T01:37:14.750403",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_50b0c5fc_73b9_11ea_b3b0_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_50b0c5fc_73b9_11ea_b3b0_10c37b4d93celevel0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <th id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93celevel1_row0\" class=\"row_heading level1 row0\" >z < 15 m</th>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow0_col0\" class=\"data row0 col0\" >-0.135476</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow0_col1\" class=\"data row0 col1\" >136</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow0_col2\" class=\"data row0 col2\" >1.08503</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow0_col3\" class=\"data row0 col3\" >0.97379</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93celevel0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <th id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93celevel1_row1\" class=\"row_heading level1 row1\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow1_col0\" class=\"data row1 col0\" >0.113226</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow1_col1\" class=\"data row1 col1\" >40</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow1_col2\" class=\"data row1 col2\" >0.437475</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow1_col3\" class=\"data row1 col3\" >0.909251</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93celevel0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <th id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93celevel1_row2\" class=\"row_heading level1 row2\" >z >= 22 m</th>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow2_col0\" class=\"data row2 col0\" >0.0645063</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow2_col1\" class=\"data row2 col1\" >390</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow2_col2\" class=\"data row2 col2\" >0.224873</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow2_col3\" class=\"data row2 col3\" >0.990031</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93celevel0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <th id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93celevel1_row3\" class=\"row_heading level1 row3\" >z > 50 m</th>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow3_col0\" class=\"data row3 col0\" >0.0552939</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow3_col1\" class=\"data row3 col1\" >303</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow3_col2\" class=\"data row3 col2\" >0.189724</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow3_col3\" class=\"data row3 col3\" >0.991191</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93celevel0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <th id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93celevel1_row4\" class=\"row_heading level1 row4\" >all</th>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow4_col0\" class=\"data row4 col0\" >0.019897</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow4_col1\" class=\"data row4 col1\" >566</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow4_col2\" class=\"data row4 col2\" >0.575545</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow4_col3\" class=\"data row4 col3\" >0.98673</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93celevel0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <th id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93celevel1_row5\" class=\"row_heading level1 row5\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow5_col0\" class=\"data row5 col0\" >0.280876</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow5_col1\" class=\"data row5 col1\" >13</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow5_col2\" class=\"data row5 col2\" >0.577165</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow5_col3\" class=\"data row5 col3\" >0.331427</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93celevel0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <th id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93celevel1_row6\" class=\"row_heading level1 row6\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow6_col0\" class=\"data row6 col0\" >-0.163554</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow6_col1\" class=\"data row6 col1\" >69</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow6_col2\" class=\"data row6 col2\" >0.712289</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow6_col3\" class=\"data row6 col3\" >0.957209</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93celevel0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <th id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93celevel1_row7\" class=\"row_heading level1 row7\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow7_col0\" class=\"data row7 col0\" >-0.691679</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow7_col1\" class=\"data row7 col1\" >29</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow7_col2\" class=\"data row7 col2\" >1.90624</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow7_col3\" class=\"data row7 col3\" >0.958068</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93celevel0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <th id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93celevel1_row8\" class=\"row_heading level1 row8\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow8_col0\" class=\"data row8 col0\" >0.37071</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow8_col1\" class=\"data row8 col1\" >25</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow8_col2\" class=\"data row8 col2\" >0.784719</td>\n",
       "                        <td id=\"T_50b0c5fc_73b9_11ea_b3b0_10c37b4d93cerow8_col3\" class=\"data row8 col3\" >0.882801</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7fee743422b0>"
      ]
     },
     "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": 0.45345,
     "end_time": "2020-04-01T01:37:15.313238",
     "exception": false,
     "start_time": "2020-04-01T01:37:14.859788",
     "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": 0.538839,
     "end_time": "2020-04-01T01:37:15.894383",
     "exception": false,
     "start_time": "2020-04-01T01:37:15.355544",
     "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,(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": 0.042584,
     "end_time": "2020-04-01T01:37:15.980826",
     "exception": false,
     "start_time": "2020-04-01T01:37:15.938242",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Temperature-Salinity by Region"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "papermill": {
     "duration": 0.126791,
     "end_time": "2020-04-01T01:37:16.150697",
     "exception": false,
     "start_time": "2020-04-01T01:37:16.023906",
     "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": 0.390923,
     "end_time": "2020-04-01T01:37:16.585759",
     "exception": false,
     "start_time": "2020-04-01T01:37:16.194836",
     "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": 0.059316,
     "end_time": "2020-04-01T01:37:16.690105",
     "exception": false,
     "start_time": "2020-04-01T01:37:16.630789",
     "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": 0.043509,
     "end_time": "2020-04-01T01:37:16.778987",
     "exception": false,
     "start_time": "2020-04-01T01:37:16.735478",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Display All Stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "papermill": {
     "duration": 0.075338,
     "end_time": "2020-04-01T01:37:16.901595",
     "exception": false,
     "start_time": "2020-04-01T01:37:16.826257",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_51ed1934_73b9_11ea_b3b0_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_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel0_row0\" class=\"row_heading level0 row0\" rowspan=9>Chl</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row0\" class=\"row_heading level2 row0\" >z < 15 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow0_col0\" class=\"data row0 col0\" >-0.114974</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow0_col1\" class=\"data row0 col1\" >90</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow0_col2\" class=\"data row0 col2\" >4.03009</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow0_col3\" class=\"data row0 col3\" >0.521973</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row1\" class=\"row_heading level2 row1\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow1_col0\" class=\"data row1 col0\" >-0.38143</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow1_col1\" class=\"data row1 col1\" >34</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow1_col2\" class=\"data row1 col2\" >1.02139</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow1_col3\" class=\"data row1 col3\" >0.632218</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row2\" class=\"row_heading level2 row2\" >z >= 22 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow2_col0\" class=\"data row2 col0\" >0.0577223</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow2_col1\" class=\"data row2 col1\" >1</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow2_col2\" class=\"data row2 col2\" >0.0577223</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow2_col3\" class=\"data row2 col3\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row3\" class=\"row_heading level2 row3\" >z > 50 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow3_col0\" class=\"data row3 col0\" >nan</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow3_col1\" class=\"data row3 col1\" >0</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow3_col2\" class=\"data row3 col2\" >nan</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow3_col3\" class=\"data row3 col3\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row4\" class=\"row_heading level1 row4\" >4</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row4\" class=\"row_heading level2 row4\" >all</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow4_col0\" class=\"data row4 col0\" >-0.186068</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow4_col1\" class=\"data row4 col1\" >125</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow4_col2\" class=\"data row4 col2\" >3.46089</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow4_col3\" class=\"data row4 col3\" >0.580621</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row5\" class=\"row_heading level1 row5\" >5</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row5\" class=\"row_heading level2 row5\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow5_col0\" class=\"data row5 col0\" >-0.859972</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow5_col1\" class=\"data row5 col1\" >3</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow5_col2\" class=\"data row5 col2\" >1.07978</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow5_col3\" class=\"data row5 col3\" >0.552293</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row6\" class=\"row_heading level1 row6\" >6</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row6\" class=\"row_heading level2 row6\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow6_col0\" class=\"data row6 col0\" >-0.187168</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow6_col1\" class=\"data row6 col1\" >46</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow6_col2\" class=\"data row6 col2\" >4.96997</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow6_col3\" class=\"data row6 col3\" >0.508131</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row7\" class=\"row_heading level1 row7\" >7</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row7\" class=\"row_heading level2 row7\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow7_col0\" class=\"data row7 col0\" >1.39006</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow7_col1\" class=\"data row7 col1\" >23</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow7_col2\" class=\"data row7 col2\" >2.9852</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow7_col3\" class=\"data row7 col3\" >0.506031</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row8\" class=\"row_heading level1 row8\" >8</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row8\" class=\"row_heading level2 row8\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow8_col0\" class=\"data row8 col0\" >-1.72941</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow8_col1\" class=\"data row8 col1\" >18</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow8_col2\" class=\"data row8 col2\" >2.55016</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow8_col3\" class=\"data row8 col3\" >0.436722</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel0_row9\" class=\"row_heading level0 row9\" rowspan=9>Chl log10</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row9\" class=\"row_heading level1 row9\" >0</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row9\" class=\"row_heading level2 row9\" >z < 15 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow9_col0\" class=\"data row9 col0\" >0.0107832</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow9_col1\" class=\"data row9 col1\" >90</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow9_col2\" class=\"data row9 col2\" >0.472198</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow9_col3\" class=\"data row9 col3\" >0.537946</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row10\" class=\"row_heading level1 row10\" >1</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row10\" class=\"row_heading level2 row10\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow10_col0\" class=\"data row10 col0\" >-0.0871032</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow10_col1\" class=\"data row10 col1\" >34</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow10_col2\" class=\"data row10 col2\" >0.295501</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow10_col3\" class=\"data row10 col3\" >0.728333</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row11\" class=\"row_heading level1 row11\" >2</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row11\" class=\"row_heading level2 row11\" >z >= 22 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow11_col0\" class=\"data row11 col0\" >0.0547041</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow11_col1\" class=\"data row11 col1\" >1</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow11_col2\" class=\"data row11 col2\" >0.0547041</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow11_col3\" class=\"data row11 col3\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row12\" class=\"row_heading level1 row12\" >3</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row12\" class=\"row_heading level2 row12\" >z > 50 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow12_col0\" class=\"data row12 col0\" >nan</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow12_col1\" class=\"data row12 col1\" >0</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow12_col2\" class=\"data row12 col2\" >nan</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow12_col3\" class=\"data row12 col3\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row13\" class=\"row_heading level1 row13\" >4</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row13\" class=\"row_heading level2 row13\" >all</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow13_col0\" class=\"data row13 col0\" >-0.0154906</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow13_col1\" class=\"data row13 col1\" >125</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow13_col2\" class=\"data row13 col2\" >0.429319</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow13_col3\" class=\"data row13 col3\" >0.676774</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row14\" class=\"row_heading level1 row14\" >5</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row14\" class=\"row_heading level2 row14\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow14_col0\" class=\"data row14 col0\" >-0.34048</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow14_col1\" class=\"data row14 col1\" >3</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow14_col2\" class=\"data row14 col2\" >0.361261</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow14_col3\" class=\"data row14 col3\" >0.561712</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row15\" class=\"row_heading level1 row15\" >6</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row15\" class=\"row_heading level2 row15\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow15_col0\" class=\"data row15 col0\" >0.0641398</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow15_col1\" class=\"data row15 col1\" >46</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow15_col2\" class=\"data row15 col2\" >0.476528</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow15_col3\" class=\"data row15 col3\" >0.553956</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row16\" class=\"row_heading level1 row16\" >7</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row16\" class=\"row_heading level2 row16\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow16_col0\" class=\"data row16 col0\" >0.284276</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow16_col1\" class=\"data row16 col1\" >23</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow16_col2\" class=\"data row16 col2\" >0.475082</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow16_col3\" class=\"data row16 col3\" >0.490188</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row17\" class=\"row_heading level1 row17\" >8</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row17\" class=\"row_heading level2 row17\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow17_col0\" class=\"data row17 col0\" >-0.416492</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow17_col1\" class=\"data row17 col1\" >18</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow17_col2\" class=\"data row17 col2\" >0.473701</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow17_col3\" class=\"data row17 col3\" >0.465577</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel0_row18\" class=\"row_heading level0 row18\" rowspan=9>Density</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row18\" class=\"row_heading level1 row18\" >0</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row18\" class=\"row_heading level2 row18\" >z < 15 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow18_col0\" class=\"data row18 col0\" >-0.135476</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow18_col1\" class=\"data row18 col1\" >136</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow18_col2\" class=\"data row18 col2\" >1.08503</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow18_col3\" class=\"data row18 col3\" >0.97379</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row19\" class=\"row_heading level1 row19\" >1</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row19\" class=\"row_heading level2 row19\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow19_col0\" class=\"data row19 col0\" >0.113226</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow19_col1\" class=\"data row19 col1\" >40</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow19_col2\" class=\"data row19 col2\" >0.437475</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow19_col3\" class=\"data row19 col3\" >0.909251</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row20\" class=\"row_heading level1 row20\" >2</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row20\" class=\"row_heading level2 row20\" >z >= 22 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow20_col0\" class=\"data row20 col0\" >0.0645063</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow20_col1\" class=\"data row20 col1\" >390</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow20_col2\" class=\"data row20 col2\" >0.224873</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow20_col3\" class=\"data row20 col3\" >0.990031</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row21\" class=\"row_heading level1 row21\" >3</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row21\" class=\"row_heading level2 row21\" >z > 50 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow21_col0\" class=\"data row21 col0\" >0.0552939</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow21_col1\" class=\"data row21 col1\" >303</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow21_col2\" class=\"data row21 col2\" >0.189724</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow21_col3\" class=\"data row21 col3\" >0.991191</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row22\" class=\"row_heading level1 row22\" >4</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row22\" class=\"row_heading level2 row22\" >all</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow22_col0\" class=\"data row22 col0\" >0.019897</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow22_col1\" class=\"data row22 col1\" >566</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow22_col2\" class=\"data row22 col2\" >0.575545</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow22_col3\" class=\"data row22 col3\" >0.98673</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row23\" class=\"row_heading level1 row23\" >5</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row23\" class=\"row_heading level2 row23\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow23_col0\" class=\"data row23 col0\" >0.280876</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow23_col1\" class=\"data row23 col1\" >13</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow23_col2\" class=\"data row23 col2\" >0.577165</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow23_col3\" class=\"data row23 col3\" >0.331427</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row24\" class=\"row_heading level1 row24\" >6</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row24\" class=\"row_heading level2 row24\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow24_col0\" class=\"data row24 col0\" >-0.163554</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow24_col1\" class=\"data row24 col1\" >69</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow24_col2\" class=\"data row24 col2\" >0.712289</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow24_col3\" class=\"data row24 col3\" >0.957209</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row25\" class=\"row_heading level1 row25\" >7</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row25\" class=\"row_heading level2 row25\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow25_col0\" class=\"data row25 col0\" >-0.691679</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow25_col1\" class=\"data row25 col1\" >29</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow25_col2\" class=\"data row25 col2\" >1.90624</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow25_col3\" class=\"data row25 col3\" >0.958068</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row26\" class=\"row_heading level1 row26\" >8</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row26\" class=\"row_heading level2 row26\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow26_col0\" class=\"data row26 col0\" >0.37071</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow26_col1\" class=\"data row26 col1\" >25</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow26_col2\" class=\"data row26 col2\" >0.784719</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow26_col3\" class=\"data row26 col3\" >0.882801</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel0_row27\" class=\"row_heading level0 row27\" rowspan=9>NO3</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row27\" class=\"row_heading level1 row27\" >0</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row27\" class=\"row_heading level2 row27\" >z < 15 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow27_col0\" class=\"data row27 col0\" >-0.69409</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow27_col1\" class=\"data row27 col1\" >127</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow27_col2\" class=\"data row27 col2\" >4.84458</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow27_col3\" class=\"data row27 col3\" >0.889856</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row28\" class=\"row_heading level1 row28\" >1</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row28\" class=\"row_heading level2 row28\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow28_col0\" class=\"data row28 col0\" >-0.49358</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow28_col1\" class=\"data row28 col1\" >38</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow28_col2\" class=\"data row28 col2\" >3.98725</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow28_col3\" class=\"data row28 col3\" >0.6468</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row29\" class=\"row_heading level1 row29\" >2</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row29\" class=\"row_heading level2 row29\" >z >= 22 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow29_col0\" class=\"data row29 col0\" >-2.13697</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow29_col1\" class=\"data row29 col1\" >368</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow29_col2\" class=\"data row29 col2\" >2.80707</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow29_col3\" class=\"data row29 col3\" >0.767835</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row30\" class=\"row_heading level1 row30\" >3</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row30\" class=\"row_heading level2 row30\" >z > 50 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow30_col0\" class=\"data row30 col0\" >-2.37822</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow30_col1\" class=\"data row30 col1\" >286</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow30_col2\" class=\"data row30 col2\" >2.82053</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow30_col3\" class=\"data row30 col3\" >0.728406</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row31\" class=\"row_heading level1 row31\" >4</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row31\" class=\"row_heading level2 row31\" >all</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow31_col0\" class=\"data row31 col0\" >-1.67601</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow31_col1\" class=\"data row31 col1\" >533</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow31_col2\" class=\"data row31 col2\" >3.48799</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow31_col3\" class=\"data row31 col3\" >0.934467</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row32\" class=\"row_heading level1 row32\" >5</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row32\" class=\"row_heading level2 row32\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow32_col0\" class=\"data row32 col0\" >-1.477</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow32_col1\" class=\"data row32 col1\" >8</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow32_col2\" class=\"data row32 col2\" >3.0851</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow32_col3\" class=\"data row32 col3\" >0.792953</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row33\" class=\"row_heading level1 row33\" >6</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row33\" class=\"row_heading level2 row33\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow33_col0\" class=\"data row33 col0\" >-1.77523</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow33_col1\" class=\"data row33 col1\" >67</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow33_col2\" class=\"data row33 col2\" >5.52535</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow33_col3\" class=\"data row33 col3\" >0.743014</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row34\" class=\"row_heading level1 row34\" >7</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row34\" class=\"row_heading level2 row34\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow34_col0\" class=\"data row34 col0\" >-1.12733</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow34_col1\" class=\"data row34 col1\" >29</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow34_col2\" class=\"data row34 col2\" >3.46787</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow34_col3\" class=\"data row34 col3\" >0.896596</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row35\" class=\"row_heading level1 row35\" >8</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row35\" class=\"row_heading level2 row35\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow35_col0\" class=\"data row35 col0\" >3.2739</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow35_col1\" class=\"data row35 col1\" >23</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow35_col2\" class=\"data row35 col2\" >4.71031</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow35_col3\" class=\"data row35 col3\" >0.840876</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel0_row36\" class=\"row_heading level0 row36\" rowspan=9>Salinity</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row36\" class=\"row_heading level2 row36\" >z < 15 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow36_col0\" class=\"data row36 col0\" >-0.209793</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow36_col1\" class=\"data row36 col1\" >136</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow36_col2\" class=\"data row36 col2\" >1.28597</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow36_col3\" class=\"data row36 col3\" >0.972119</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row37\" class=\"row_heading level2 row37\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow37_col0\" class=\"data row37 col0\" >0.113384</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow37_col1\" class=\"data row37 col1\" >40</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow37_col2\" class=\"data row37 col2\" >0.478224</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow37_col3\" class=\"data row37 col3\" >0.923512</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row38\" class=\"row_heading level2 row38\" >z >= 22 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow38_col0\" class=\"data row38 col0\" >0.0939602</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow38_col1\" class=\"data row38 col1\" >390</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow38_col2\" class=\"data row38 col2\" >0.262561</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow38_col3\" class=\"data row38 col3\" >0.985888</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row39\" class=\"row_heading level2 row39\" >z > 50 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow39_col0\" class=\"data row39 col0\" >0.0901776</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow39_col1\" class=\"data row39 col1\" >303</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow39_col2\" class=\"data row39 col2\" >0.224463</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow39_col3\" class=\"data row39 col3\" >0.988481</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row40\" class=\"row_heading level1 row40\" >4</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row40\" class=\"row_heading level2 row40\" >all</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow40_col0\" class=\"data row40 col0\" >0.0223463</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow40_col1\" class=\"data row40 col1\" >566</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow40_col2\" class=\"data row40 col2\" >0.678989</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow40_col3\" class=\"data row40 col3\" >0.983453</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row41\" class=\"row_heading level1 row41\" >5</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row41\" class=\"row_heading level2 row41\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow41_col0\" class=\"data row41 col0\" >0.320075</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow41_col1\" class=\"data row41 col1\" >13</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow41_col2\" class=\"data row41 col2\" >0.682321</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow41_col3\" class=\"data row41 col3\" >0.383104</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row42\" class=\"row_heading level1 row42\" >6</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row42\" class=\"row_heading level2 row42\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow42_col0\" class=\"data row42 col0\" >-0.226097</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow42_col1\" class=\"data row42 col1\" >69</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow42_col2\" class=\"data row42 col2\" >0.89296</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow42_col3\" class=\"data row42 col3\" >0.95965</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row43\" class=\"row_heading level1 row43\" >7</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row43\" class=\"row_heading level2 row43\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow43_col0\" class=\"data row43 col0\" >-0.922775</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow43_col1\" class=\"data row43 col1\" >29</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow43_col2\" class=\"data row43 col2\" >2.21028</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow43_col3\" class=\"data row43 col3\" >0.960429</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row44\" class=\"row_heading level1 row44\" >8</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row44\" class=\"row_heading level2 row44\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow44_col0\" class=\"data row44 col0\" >0.386733</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow44_col1\" class=\"data row44 col1\" >25</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow44_col2\" class=\"data row44 col2\" >0.941498</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow44_col3\" class=\"data row44 col3\" >0.859428</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel0_row45\" class=\"row_heading level0 row45\" rowspan=9>Temperature</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row45\" class=\"row_heading level1 row45\" >0</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row45\" class=\"row_heading level2 row45\" >z < 15 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow45_col0\" class=\"data row45 col0\" >-0.132824</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow45_col1\" class=\"data row45 col1\" >136</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow45_col2\" class=\"data row45 col2\" >0.89454</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow45_col3\" class=\"data row45 col3\" >0.977581</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row46\" class=\"row_heading level1 row46\" >1</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row46\" class=\"row_heading level2 row46\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow46_col0\" class=\"data row46 col0\" >-0.159216</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow46_col1\" class=\"data row46 col1\" >40</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow46_col2\" class=\"data row46 col2\" >0.554603</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow46_col3\" class=\"data row46 col3\" >0.934825</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row47\" class=\"row_heading level1 row47\" >2</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row47\" class=\"row_heading level2 row47\" >z >= 22 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow47_col0\" class=\"data row47 col0\" >0.0553272</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow47_col1\" class=\"data row47 col1\" >390</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow47_col2\" class=\"data row47 col2\" >0.35997</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow47_col3\" class=\"data row47 col3\" >0.933263</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row48\" class=\"row_heading level1 row48\" >3</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row48\" class=\"row_heading level2 row48\" >z > 50 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow48_col0\" class=\"data row48 col0\" >0.0955125</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow48_col1\" class=\"data row48 col1\" >303</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow48_col2\" class=\"data row48 col2\" >0.3517</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow48_col3\" class=\"data row48 col3\" >0.930767</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row49\" class=\"row_heading level1 row49\" >4</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row49\" class=\"row_heading level2 row49\" >all</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow49_col0\" class=\"data row49 col0\" >-0.00504425</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow49_col1\" class=\"data row49 col1\" >566</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow49_col2\" class=\"data row49 col2\" >0.550725</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow49_col3\" class=\"data row49 col3\" >0.977906</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row50\" class=\"row_heading level1 row50\" >5</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row50\" class=\"row_heading level2 row50\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow50_col0\" class=\"data row50 col0\" >-0.233373</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow50_col1\" class=\"data row50 col1\" >13</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow50_col2\" class=\"data row50 col2\" >0.493924</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow50_col3\" class=\"data row50 col3\" >0.740153</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row51\" class=\"row_heading level1 row51\" >6</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row51\" class=\"row_heading level2 row51\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow51_col0\" class=\"data row51 col0\" >-0.0808868</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow51_col1\" class=\"data row51 col1\" >69</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow51_col2\" class=\"data row51 col2\" >0.396238</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow51_col3\" class=\"data row51 col3\" >0.748258</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row52\" class=\"row_heading level1 row52\" >7</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row52\" class=\"row_heading level2 row52\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow52_col0\" class=\"data row52 col0\" >0.0112905</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow52_col1\" class=\"data row52 col1\" >29</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow52_col2\" class=\"data row52 col2\" >1.68229</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow52_col3\" class=\"data row52 col3\" >0.904618</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row53\" class=\"row_heading level1 row53\" >8</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row53\" class=\"row_heading level2 row53\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow53_col0\" class=\"data row53 col0\" >-0.391056</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow53_col1\" class=\"data row53 col1\" >25</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow53_col2\" class=\"data row53 col2\" >0.714121</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow53_col3\" class=\"data row53 col3\" >0.922247</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel0_row54\" class=\"row_heading level0 row54\" rowspan=9>dSi</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row54\" class=\"row_heading level1 row54\" >0</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row54\" class=\"row_heading level2 row54\" >z < 15 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow54_col0\" class=\"data row54 col0\" >-3.37252</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow54_col1\" class=\"data row54 col1\" >127</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow54_col2\" class=\"data row54 col2\" >8.9829</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow54_col3\" class=\"data row54 col3\" >0.785152</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row55\" class=\"row_heading level1 row55\" >1</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row55\" class=\"row_heading level2 row55\" >15 m < z < 22 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow55_col0\" class=\"data row55 col0\" >-2.93607</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow55_col1\" class=\"data row55 col1\" >38</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow55_col2\" class=\"data row55 col2\" >8.0882</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow55_col3\" class=\"data row55 col3\" >0.646524</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row56\" class=\"row_heading level1 row56\" >2</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row56\" class=\"row_heading level2 row56\" >z >= 22 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow56_col0\" class=\"data row56 col0\" >-6.38061</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow56_col1\" class=\"data row56 col1\" >368</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow56_col2\" class=\"data row56 col2\" >7.96496</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow56_col3\" class=\"data row56 col3\" >0.788195</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row57\" class=\"row_heading level1 row57\" >3</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row57\" class=\"row_heading level2 row57\" >z > 50 m</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow57_col0\" class=\"data row57 col0\" >-6.87779</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow57_col1\" class=\"data row57 col1\" >286</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow57_col2\" class=\"data row57 col2\" >8.2254</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow57_col3\" class=\"data row57 col3\" >0.790252</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row58\" class=\"row_heading level1 row58\" >4</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row58\" class=\"row_heading level2 row58\" >all</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow58_col0\" class=\"data row58 col0\" >-5.41828</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow58_col1\" class=\"data row58 col1\" >533</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow58_col2\" class=\"data row58 col2\" >8.22754</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow58_col3\" class=\"data row58 col3\" >0.85954</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row59\" class=\"row_heading level1 row59\" >5</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row59\" class=\"row_heading level2 row59\" >z < 15 m, JFM</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow59_col0\" class=\"data row59 col0\" >-4.86894</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow59_col1\" class=\"data row59 col1\" >8</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow59_col2\" class=\"data row59 col2\" >6.22762</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow59_col3\" class=\"data row59 col3\" >0.78727</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row60\" class=\"row_heading level1 row60\" >6</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row60\" class=\"row_heading level2 row60\" >z < 15 m, Apr</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow60_col0\" class=\"data row60 col0\" >-0.781434</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow60_col1\" class=\"data row60 col1\" >67</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow60_col2\" class=\"data row60 col2\" >9.99822</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow60_col3\" class=\"data row60 col3\" >0.711514</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row61\" class=\"row_heading level1 row61\" >7</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row61\" class=\"row_heading level2 row61\" >z < 15 m, MJJA</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow61_col0\" class=\"data row61 col0\" >-6.54298</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow61_col1\" class=\"data row61 col1\" >29</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow61_col2\" class=\"data row61 col2\" >8.17587</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow61_col3\" class=\"data row61 col3\" >0.792911</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel1_row62\" class=\"row_heading level1 row62\" >8</th>\n",
       "                        <th id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93celevel2_row62\" class=\"row_heading level2 row62\" >z < 15 m, SOND</th>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow62_col0\" class=\"data row62 col0\" >-6.40246</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow62_col1\" class=\"data row62 col1\" >23</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow62_col2\" class=\"data row62 col2\" >7.52265</td>\n",
       "                        <td id=\"T_51ed1934_73b9_11ea_b3b0_10c37b4d93cerow62_col3\" class=\"data row62 col3\" >0.598907</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7fee47fadc10>"
      ]
     },
     "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": 120.057245,
   "end_time": "2020-04-01T01:37:16.949969",
   "environment_variables": {},
   "exception": null,
   "input_path": "vET-HC1905-DFO-NutChlPhys-Base.ipynb",
   "output_path": "vET-HC1905-DFO-NutChlPhys-2015.ipynb",
   "parameters": {
    "year": 2015
   },
   "start_time": "2020-04-01T01:35:16.892724",
   "version": "2.0.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}