multimodel_latmean_template.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "caf6cb73-6721-4836-9aa1-11e64d4500c6",
   "metadata": {},
   "source": [
    "### aim: latitudinally-averaged surface variable\n",
    "\n",
    "### date: "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b38bf26-ceb7-4c5d-b993-ded99faa97bb",
   "metadata": {},
   "source": [
    "available variables, for reference\n",
    "ptrc - ['deptht_bounds', 'Alkalini', 'time_centered_bounds', 'time_counter_bounds', 'O2', 'DIC', 'PIIC', 'NO3', 'Si', 'PO4', 'Fer', 'DOC', 'CaCO3', 'ARA', 'POC', 'GOC', 'BAC', 'PRO', 'PTE', 'MES', 'GEL', 'MAC', 'DIA', 'MIX', 'COC', 'PIC', 'PHA', 'FIX', 'C11', 'B14B', 'C14B', 'D14B']\n",
    "\n",
    "diad - ['deptht_bounds', 'DOCTRP', 'time_centered_bounds', 'time_counter_bounds', 'EXP', 'GRAMIC', 'GRAMES', 'GRAMAC', 'PPTDOC', 'PPT', 'TChl', 'Detrit', 'Carniv', 'Herbiv', 'GRAMICPHY', 'GRAMESPHY', 'GRAMACPHY', 'nitrfix', 'denitr', 'DELO2', 'vsink', 'sinksil', 'discarb', 'ExpCO3', 'ExpARA', 'GRAGEL', 'GRAPTE', 'proara', 'prococ', 'D14PRO', 'D14RES', 'fdecay', 'bdecay', 'ddecay', 'qtrC14b', 'qtrB14b', 'qtrD14b', 'qintC14b', 'Cflx', 'PICflx', 'Oflx', 'dpCO2', 'pCO2', 'PPINT']\n",
    "\n",
    "grid_T - ['deptht_bounds', 'e3t', 'time_centered_bounds', 'time_counter_bounds', 'votemper', 'vosaline', 'tos', 'sos', 'zos', 'mldkz5', 'mldr10_1', 'somxl030', 'wfo', 'rsntds', 'tohfls', 'sosflxdo', 'taum', 'sowindsp', 'soprecip', 'sbt']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8c195879-09ac-4d4e-9f27-90435b381ea7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/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",
       "<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": 1,
     "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",
    "<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": 2,
   "id": "856f4cb5-2d96-4ac3-b528-6fe8e00d02f2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Once deleted, variables cannot be recovered. Proceed (y/[n])?  y\n"
     ]
    }
   ],
   "source": [
    "%reset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "93f9af63-a171-4f40-a5c4-fbefd1769475",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from cmocean import cm\n",
    "import cartopy as cp\n",
    "import cartopy.crs as ccrs\n",
    "import netCDF4 as nc\n",
    "import matplotlib.pyplot as plt\n",
    "import xarray as xr\n",
    "import sys\n",
    "sys.path.append('/gpfs/home/mep22dku/scratch/SOZONE')\n",
    "#list of models\n",
    "sys.path.append('/gpfs/home/mep22dku/scratch/SOZONE/UTILS')\n",
    "import lom\n",
    "import utils as ut\n",
    "\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "from datetime import datetime\n",
    "warnings.filterwarnings('ignore')\n",
    "import cartopy.feature as cfeature\n",
    "from importlib import reload\n",
    "import matplotlib.path as mpath\n",
    "import glob\n",
    "import pickle\n",
    "import pandas as pd\n",
    "import seawater\n",
    "import time\n",
    "plt.rcParams.update({'font.size': 12})\n",
    "font = {'family' : 'normal',\n",
    "'weight' : 'normal',\n",
    "'size'   : 12}\n",
    "\n",
    "plt.rc('font', **font)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b1193221-209c-468e-b4c0-1e98cf8f675e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_yearlist(yrst, yrend, dtype, modnam):\n",
    "    '''\n",
    "    open many files together as the same dataset\n",
    "    ylist = make_yearlist(2001,2011,'diad_T','TOM12_TJ_1AS1')\n",
    "    ds = xr.open_mfdataset(ylist)\n",
    "    \n",
    "    '''\n",
    "    bD = f'/gpfs/afm/greenocean/software/runs/{modnam}/'\n",
    "    yrs = np.arange(yrst,yrend+1,1)\n",
    "    ylist = []\n",
    "    for i in range(0,len(yrs)):\n",
    "        ty = f'{bD}/ORCA2_1m_{yrs[i]}0101_{yrs[i]}1231_{dtype}.nc'\n",
    "        ylist.append(ty)\n",
    "    return ylist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f1c71e2f-927f-4f71-9622-f94b4d57375d",
   "metadata": {},
   "outputs": [],
   "source": [
    "tmesh = xr.open_dataset('/gpfs/data/greenocean/software/resources/regrid/mesh_mask3_6.nc')\n",
    "tmesh['csize'] = tmesh.tmask[0,0,:,:] * tmesh.e1t[0,:,:] * tmesh.e2t[0,:,:] #size in m3\n",
    "csize_broad = np.zeros([31,149,182])\n",
    "for i in range(0,31):\n",
    "    csize_broad[i,:,:] = tmesh['csize'].values #broadcast area \n",
    "cvol = csize_broad * tmesh['e3t_0'][0,:,:,:] * tmesh['tmask'][0,:,:,:] # multiply by e3t and size, volume in m3\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "df9e04ad-11e7-48e7-b10e-84c6471f36a5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2ce12df6-d55d-4c4f-b89b-42790cf111fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "## retreive ncs matching the above filetypes for the above years, open\n",
    "def get_weighted_latmean(yst, yen, dtype, modnam, var):\n",
    "    ylist = ut.make_yearlist(yst, yen, dtype, modnam)\n",
    "    tdat = xr.open_mfdataset(ylist)\n",
    "    lats = (tdat['nav_lat'][:,49])\n",
    "    \n",
    "    units = tdat[var].units\n",
    "    longnam = tdat[var].long_name\n",
    "    ## yearly averages for the above var for the above years\n",
    "    tvar = tdat[var].groupby('time_counter.year').mean('time_counter')\n",
    "    \n",
    "    # average of the years one 31 x 149 x 182 product\n",
    "    tvar = np.nanmean(tvar.values, axis = 0)\n",
    "    \n",
    "    #surface\n",
    "    tvar_surf = tvar[0,:,:]\n",
    "    #appropriately weighted latitudinal mean\n",
    "    latmean = np.zeros(149)\n",
    "    for i in range(0,149):\n",
    "        latmean[i] = np.ma.average(tvar_surf[i,:], weights = tmesh['csize'][i,:])\n",
    "    return latmean, lats, units, longnam\n",
    "# plt.plot(latmean, lats) \n",
    "#tvar_yearly = tvar.groupby('time_counter.month').mean('time_counter').values"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e93b1898-60eb-4d2e-8955-e43ce69cde02",
   "metadata": {},
   "source": [
    "## test code for chlorophyll for 5 different runs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "68360cbb-294c-41bd-b5a9-1ed9bb22273a",
   "metadata": {},
   "outputs": [],
   "source": [
    "yst = 1955; yen = 1960\n",
    "dtype =  'diad_T'\n",
    "var = 'TChl'\n",
    "modnam = ['TOM12_RW_3G76','TOM12_RW_3G72', 'TOM12_RW_3G74', 'TOM12_RW_3G83', 'TOM12_RW_3G84']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "98e10a35-1abf-46e4-a93b-f8a7e15444f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x2b655dd91a50>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "findfont: Font family ['normal'] not found. Falling back to DejaVu Sans.\n",
      "findfont: Font family ['normal'] not found. Falling back to DejaVu Sans.\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 582.48x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAgMAAAFkCAYAAAC9wjgoAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAADKH0lEQVR4nOzdd3hUVfrA8e/MZFpm0ntPSAgldEIHEQVRERUEQUVYRbHg6tqW/dlAxbUriGtBVkEs6AqoKKgIhN57CwkhhfReJsn0+/tjJkNCKAETEuB8nmeembn13Jty3nvvOe+RSZIkIQiCIAjCVUve2gUQBEEQBKF1iWBAEARBEK5yIhgQBEEQhKucCAYEQRAE4SonggFBEARBuMqJYEAQBEEQrnIiGBCEK8zJkye5/vrr0el0yGSy1i7OJSeTyfjqq6/+8nYWLlyIm5vbOZfJyMhAJpOxadOmv7w/QWhNIhgQhCvMv//9bwoLC9m3bx95eXmtWpa4uDhmzZp1wevNnj2b6OjoZi9PfV999RXXXHMNXl5e6HQ6unTpwj//+U9ycnJadL+C0BaJYEAQrhBmsxmA1NRU+vbtS/v27QkODm7lUrVNU6dOZerUqVxzzTWsWrWKI0eO8MEHH5Cfn8+7777b2sUThEtPEgThktu4caM0cOBASa/XS3q9XurWrZv022+/SZIkSenp6RIgbdy4scE6sbGx0syZM13fAWnu3LnSXXfdJXl6ekrjxo2TgAavKVOmSJIkSXPmzJG6d+8u6XQ6KSgoSJowYYKUm5vbYPvHjx+Xxo0bJ/n4+EharVbq2rWrtGLFCtf8Xbt2SSNGjJB0Op3k7+8vjRkzRsrIyDjrMQ4dOrRRedLT0yVJkqStW7dKQ4YMkTQajeTt7S3dddddUkFBgSRJkvTFF180Wq/uuL/++mupb9++kqenp+Tn5yfdfPPN0rFjxxrsF5AWL1581nL98MMPEiB9++23Z5xfWlrqKodCoZA2bdok9ezZU9JqtVJiYqK0a9cu17Jn+1kJwuVG3BkQhEvMZrNx66230q9fP/bs2cOePXuYNWsW7u7uF7ytl19+mQEDBrBnzx5ee+018vLyGDBgAHfffTd5eXnMnTvXtew777zDwYMHWb58OVlZWUycONE1Lz8/n4EDB1JWVsbPP//MwYMHefXVV5HLHf8ijhw5wtChQxkwYAC7du1i7dq1KBQKRowYgdFoPGPZli1bRnR0NE8//TR5eXnk5eURERFBfn4+N9xwA+Hh4ezYsYMVK1Zw6NAh7rjjDgAmTJjAjBkzCA8Pd633zDPPAGAymXjxxRfZs2cPq1evRqFQMGrUKNddkaZYvHgxcXFxDY6/Ph8fH9dnu93O//3f/zF37lz27NmDj48Pd955J1artcn7E4TLQmtHI4JwtSktLZUAad26dWecfyF3Bu6///5G6w8dOlSaOnXqOcuwZ88eCZCys7MlSZKkF154QQoKCpIMBsMZl58yZYo0YcKEBtOMRqOk1Wql5cuXn3U/p5e5bl9hYWGSyWRyTdu3b58ESOvXr5ckSZJeffVVKSoq6pzHIEmSVFJSIgHSpk2bXNM4z52BTp06SaNHjz7vtuvuUOzevds1bevWrRIgJScnS5Ik7gwIVw5xZ0AQLjEfHx8eeOABRo4cyU033cQbb7zBsWPHLmpbffv2bdJySUlJjBw5koiICDw8PBg8eDAAmZmZAOzevZuBAwei0+nOuP7OnTtZvnw5er3e9fLz88NoNJKamnpBZT58+DD9+/dHpVK5pnXv3h0vLy8OHz58znX37dvHmDFjiImJwcPDg8jIyAbH0RSSJDW5l4VMJqN79+6u72FhYQAUFBQ0eX+CcDkQwYAgtILPPvuM3bt3M2LECNavX0+XLl349NNPAVy35qXTBhS1WCyNtnO2yru+rKwsbr75ZqKjo1myZAm7du3i559/Bmhwe/1cFaTdbufee+9l3759DV4pKSk88MAD5z/g05xtX+cqQ01NDTfccAMymYzPP/+cHTt2sHPnTmQy2QU9JujQoQNHjhxp0rJyuRyFQtGofHa7vcn7E4TLgQgGBKGVdOnShaeeeopVq1YxdepU5s+fD0BAQAAAubm5rmULCwsvusvbzp07qa2tZc6cOQwaNIgOHTo0urLt3bs3mzdvprq6+ozbSExM5MCBA8TGxhIXF9fgVf8Z++lUKhU2m63BtISEBLZu3dqgAt+/fz8VFRUkJCScdb2jR49SVFTEa6+9xrBhw+jUqRNlZWWNgqbzmTRpEsePH2fJkiVnnF9WVnZB2xOEK4EIBgThEjt+/DgzZsxg06ZNZGZmsnXrVjZu3Ejnzp0B0Gq1DBo0iLfeeov9+/eze/duJk+ejFqtvqj9tW/fHplMxrvvvkt6ejo//vgjr7zySoNlHn30Uex2O7fddhubN28mPT2dX375hVWrVgHw3HPPcfToUSZNmsSOHTtIT09n3bp1PPHEE5w4ceKs+46JiWHz5s1kZWVRXFyM3W7nscceo7Kykr/97W8cOnSITZs2ce+99zJ48GCGDBniWi8/P5+tW7dSXFxMTU0NUVFRqNVq5s2bR1paGmvWrOGJJ5644MRK48aNY/LkyUyZMoUXX3yRrVu3kpWVxfr167nvvvt49dVXL/AMC8LlTwQDgnCJ6XQ6UlNTmThxIvHx8dxxxx0MHDiQDz/80LXM559/jl6vZ+DAgUycOJFp06YREhJyUfvr1q0b8+bN49NPP6Vz58688847zJkzp8EyISEhbNq0CQ8PD26++WYSEhJ4/vnnXVfdnTp1YsuWLRgMBkaOHEnnzp158MEHqa2txdvb+6z7fvnll6moqKBDhw4EBASQlZVFUFAQf/zxB9nZ2fTp04dbbrmFLl26sHTpUtd6t99+O+PHj2fUqFEEBATw1ltv4e/vz1dffcXq1atJSEjgmWee4Z133nE9VrkQixYtYv78+axbt46RI0fSqVMnpk+fTlBQEM8+++wFb08QLncy6ULvsQmCIAiCcEURdwYEQRAE4SonggFBEARBuMqJYEAQBEEQrnIiGBAEQRCEq5wIBgThIslkMr766qu/vJ1Zs2YRFxfXDCVq2vZban+nb3fhwoW4ubk1+36uJklJSchkMrKzs1u7KMIVTgQDgnCJbNq0CZlMRkZGRoPpzzzzDNu2bXN9nz17NtHR0S1WjtP3JwiCIMJ2QWhldbn+r9T9Xa7MZnOD8RME4Uom7gwIQjOZO3cuPXr0QK/XExwczMSJE8nLywMgIyOjQXY9mUzGtddeCzS8vb5w4UJefPFFMjMzkclkyGQyZs2aBUB0dDSzZ89usM8HHnjAtR1wDPH7yCOP4OXlhY+PD4888ggmk6nBOmd7bPDTTz/RsWNHdDodw4YNIy0tzbVMWVkZkyZNIjIyEq1WS4cOHXj33XebnAq4qqoKDw8PvvnmmwbTMzIykMvlJCUlnXE9SZJ48MEHiY2NRavV0q5dO5577jnXMaWmpiKTydiyZUuD9bZv345MJiM5ORkAg8HAE088QVhYGO7u7vTs2ZNly5Y1KIdMJuPrr7/m5ptvRqfT8dxzz513/3XmzJlDeHg47u7ujBw5ksWLFze6vb97925uuOEG9Ho9AQEBjB07ttEAS/PmzWuwnaysrCadX0H4q0QwIAjN6J133uHgwYMsX76crKwsJk6cCEBERAQ//fQTADt27CAvL69BZVRnwoQJzJgxg/DwcPLy8sjLy+OZZ55p8v7/9a9/sXTpUr788ku2bt2KTqfjP//5z3nXy8vL4+OPP+brr79my5YtlJeXc//997vmm0wmunbtyo8//siRI0d48cUXmTlzJgsXLmxSuTw8PLj77rv57LPPGkz/73//S1xcHEOHDj3jepIkERQUxDfffMPRo0eZM2cOX3zxBf/+978BR6rl/v37s2jRogbrLV68mL59+9KxY0ckSWL06NHs37+f7777jkOHDvHII48wceJE1qxZ02C9GTNmcPfdd3Pw4EGmT59+3v0DLFu2jGeeeYZnn32W/fv3c9dddzFjxowG2z1y5AhDhw5lwIAB7Nq1i7Vr16JQKBgxYgRGoxGAn376iSeffJKnnnqKffv2ceedd4psiMKl0zojJwvC5Q+QFi9efNb5e/bskQApOztbkiRJ2rhxowRI6enpDZabOXOmFBsb6/r+6quvSlFRUY22FxUVJb366qsNpk2dOlUaOnSoJEmSZDAYJLVaLc2fP7/BMr17926w/dP3N3PmTEmhUEiFhYWuad9++60kk8mk2trasx7f448/Lg0fPvys2/3iiy8khULh+r57924JkFJSUiRJkiSr1SqFh4dLb7311ln3cSbvvfeeFBcX5/r+8ccfS97e3pLRaJQkSZLMZrPk7+8vffjhh5IkSdK6desktVotlZeXN9jOfffdJ912222SJElSenq6BEivvPLKBe9/4MCB0qRJkxosM2PGDAmQTp48KUmSJE2ZMkWaMGFCg2WMRqOk1Wql5cuXS5IkSYMGDZLuvvvuBss8/fTTDbYjCC1F3BkQhGaSlJTEyJEjiYiIwMPDg8GDBwM0uhXcUtLS0jCZTAwcOLDB9LpynEtoaKhrtESAsLAwJEmisLAQcAzZ+8Ybb9CjRw/8/f3R6/V88sknF3RsvXr1IjExkQULFgCwatUqCgoKmDJlyjnX++yzz+jXrx9BQUHo9Xr+7//+r8F+J0yYQG1trWtY5pUrV1JZWem6K7Nz507MZjNhYWGu9hJ6vZ6vvvqK1NTUBvvq27fvBe//yJEj9O/fv8E6AwYMaPB9586dLF++vMH+/fz8MBqNrjIcOXLkon52gtAcRDAgCM0gKyuLm2++mejoaJYsWcKuXbtclVP9oXr/Crlc3ugZvcVicX2um3eho/gBjRrK1W3DbrcD8O677/L666/z97//ndWrV7Nv3z4eeOCBCz62hx9+mIULF2KxWFiwYAG33347gYGBZ13+f//7H9OnT2fChAmsXLmSvXv38tJLLzU4bh8fH0aPHs2XX34JwJdffsmoUaPw8/NzHYOXlxf79u1r8Dpy5IhrVMY6Op3ugvdf/3ydjd1u5957721UhpSUFB544IEmb0cQWoroTSAIzWDnzp3U1tYyZ84ctFot4GgwVl9dhWuz2c65LZVKdcZlAgMDyc3NbTBt7969+Pr6AhAXF4dKpWLz5s2u4ZCBRo3rLsaGDRu48cYbmTp1qmva6VfVTTFx4kSeeuopPv30U3799VdWrlx53v327NmTp556yjXt9K6ZAJMnT2bs2LEcO3aMX3/9le+++841LzExkfLycoxGI126dLmg8jZl/507d2br1q08+uijrmmnd91MTEzkwIEDxMbGnrXC79y5M5s3b26wnc2bN19QeQXhYok7A4LQDNq3b49MJuPdd98lPT2dH3/8kVdeeaXBMlFRUcjlclauXElhYSEVFRVn3FZMTAz5+fls3bqV4uJiampqABg+fDjfffcdf/zxB8eOHePJJ59scLtap9Px8MMP88ILL/Dzzz9z7Ngx/vnPf7pa1P8VHTp0ICkpiXXr1pGSksILL7zA9u3bL3g7Op2OSZMm8fTTTxMZGcnw4cPPu9+DBw/y008/kZaWxty5c8/Y8PKmm27C19eXiRMnuoZhrnPdddcxfPhwxo4dy/Llyzlx4gS7d+9m3rx5jRo0Xsz+n376aZYsWcK8efM4fvw4X375pesuRV3F/9xzz3H06FEmTZrEjh07SE9PZ926dTzxxBOcOHHCtZ3vvvuOuXPnkpqayhdffMHixYvPf1IFoTm0cpsFQbhscVoDwg8//FAKDw+XNBqNNGjQIGnVqlUSIK1bt861zJtvvimFhoZKcrnc1fDv9IZ3ZrNZuuuuuyQfHx8JkGbOnClJkiRVVlZKkyZNkry9vaWAgABp5syZDRoQSpIk1dTUSNOmTZM8PT0lT09P6cEHH5T+9a9/nbcBYf3vktS4sWN5ebk0fvx4ycPDQ/L19ZUeffRR6YUXXmjQ0PF8DQjr7Nu3TwKkf//73+c9x2azWZo2bZrk4+MjeXh4SHfddZc0b9486Uz/uv7xj39IgPTYY481mldTUyPNmDFDio6OlpRKpRQUFCSNHDlSWrNmjSRJpxoQbty48aL2/95770mhoaGSRqORbrjhBunTTz+VAKm4uNi1zIEDB6Rbb71V8vb2ljQajRQbGys9+OCDUklJiWuZOXPmuLZz/fXXSwsXLhQNCIVLQiZJTewoLAiC0AxWrlzJ7bffTlZWFsHBwa1dnBbxyiuvMHfuXEpKSlq7KILQJKLNgCAIl0RNTQ1ZWVm88sor3H333VdMIGCxWHj33XddyYrWrVvH22+/zfTp01u7aILQZOLOgCAIl8SsWbOYPXs2ffv25ccffzxnL4LLidVq5ZZbbmH37t1UVVURExPD5MmTefbZZ8VATcJlQwQDgiAIgnCVE70JBEEQBOEqJ4IBQRAEQbjKXfEPtPz9/Zt9bPjq6upGmcqE5iXOccsS57fliXPcssT5vXAZGRkUFxefcd4VHwxER0eza9euZt1mUlJSg2FjheYnznHLEue35Ylz3LLE+b1wiYmJZ50nHhMIgiAIwlVOBAOCIAiCcJUTwYAgCIIgXOVEMCAIgiAIVzkRDAiCIAjCVU4EA4IgCIJwlRPBgCAIgiBc5UQwIAiCIAhXOREMCIIgCMJV7orPQChcGpIkOV6AXbIjSc5pSI7Pde+nTbPbT1/G8bm0tpb8inKkRtuWsNlsjne73fWy2m3YJbDaLNgkCavdjs0uYbFZsdslbJIdm9WOVbJjtUvYsWG32rFKEnZJwirZsNtsWO0gSXZskg27TcLiPBa73eZYT5KwS3bsdgmr3YYk2bFKAHasNgnJbsfmLK9NsmNHwm6zY3dNA7tkw2pzlNlit2Gx2rHZrJjtjukWm2O6zbmM1W53fJbsWG021zH3i2lHqLcPdQOP2iQ7djs4vjn2LznL7DiPduyS4xwWFBYScOwQkvN46v9s7M6fgV2q21LddqV6Pz/nNu2Oz3YkcG7j1Hr1ft7g3Ifj52KXHOfJbre7zoXVbnf8nJzHWzff5jzfNunUeVS7KfHUagj19sFqs2OyWhznzfny0GjoGxWDHTBbrZisFsxWG2abFbPVSoSvL59Oug8PjfZS/pkIQpslgoELpHzkPmx2O3z7RWsX5cr345LWLkGb9vOBfX9tAyczmqMYrcJqNlFtNpFXUXHG+XkVkFKQf/YNpMH43n0Z0/Ps6VkF4WoigoELZLdLrV2EJpNd1EoN1zrfNmSnfzrDCo22eIZFT19GkuzIZfIGM+rvq0ExZTLXPMn145HqfZdcV6l1c+qubJHqXbXy13+2MkAmkyFzlrHus1wuc82Tu+Y7lpHL5Mid73Xz5TKZ67NCLnPOA4VMgVzumK5TqXFTyF37ctwtcVw5W513D1x3UJxX3HbnHZPq2hrkbm5YbTbnHQfH1bVdar3f71Pn7tR5ksvlKGRyFHIZbnIFSoUcN7kCvUaDp0aLt7s7aqUSjZsStZsSrUqJVqnE211HtJ8/Kjc3x0vhhspN4Xx3w8ddR5ew8FY7VkFoa0QwcIFsny4UA2S0AJPFQnZ5KZklJWSVlrB9/z6Cw8OpMZupNpuoMZlOfTabqa73ve5zjdl0wZWZUqFAp1bjrlLhp9M7Xno9vs7P/noP/PT6BvP89Xq8te7I5c3T5KbaZOJEcSHHCwvIKi2l2mRyHqfj2Cpqaymrrqa8tppKoxGDyYTJYiHHVobZasVic9xib0vc5Ao8tRraBwbTKzKKge3ac018ByJ8/Vq7aIIgnIEIBoRLJqUgnyN5Oa4K/2Sp4z2rtIT8yjPc7t23C7WbEneVylVh61RqdGo13u7uhHn74K5S4a5Wo1Op6y2nRqdWOaepG61bf3tKxaX7EzheWMDek5kcLyzgeFEhaYUFpBTmk3+WW90ymcx1N+Ns3ORy3BQKtCoVSoUCtZsbKjfHlbJWpcRNoXAEFDU1FBsMmG1W17papdJ1fvRqNR4aLTVmM8n5uVhsNsARLOnVary07vjp9QR6eBLk6UWghye+Op3j5V4XQOnwddfhq9OjVama78QJgtDiRDAgXBIFlRV0fGmG67tWqSLS149IX19u7trd+fnU69j+/Yy87nrcFIpWLHXzMRiNdJ75f1jttiYt76HRcF2HzsQGBhLq5UOotzehXt6Eevvgr9ejVapQubkhk537Qc4DX/6XzzdvaDAtLjCIEJWG7u3jCfHyIsTLmxAvbxRyOTfMeavBssGeXgR4eBCg9yTAwwN/vYfje71pAc5pXlr385ZHEIS2SQQDwiWhqHdLPdLXj47BIQToPfDTe+Cvd9yO16s1yGUyjBYLJqu1WZ7htxV6jYb1zzzHnqwMMkqKySgpIr24iBNFhZTX1jZavspo5Kf9e3CTy1HI5Sidz7zVbm5o3JRoVCrclY47HHqNBg+1Bk+tFi+NFm93HT46d/zc9dzUpRtxAYHUWixUGWsprKoir6KctLxcDmzbTEVtTaN9K+RyNEolCpmcKqORSqOR1MICrDYbZmdvhjNRyGTo1Grns3sV7iolWqXjroNerUGvUaNTa9Cp1M75jpdWWe+za7radeei/jJalarB75IgCM1DBAPCJeGv9+CtOyZwMOckxQYDxYYqUgsLKDZUUWU0nnmlH7/DS+vuChb89XpiA4J49baxl2WXsAGxcQyIjWs0vbK21hkcFJNeXMTBnJNklZZQWFlJpcmIyRkcmaxWqk0mrM6GgBcbKslkMuSAm0KBTqVCIVe4gg610tEAz12tRq9So5DLXQ0STVYL1SYzBpMRg8lIrdmM2XbqTodNkqg0GoGz/DybicrN7QyBRMPgwV2lwlenF3cxBKGJRDAgXDLP3HDzGaebLBZKqh0BQl2gsHXvHnxCQig2GCgxVFFsqCK3vJxVhw6QXVbK/x567Ir5Z+6p1dItPJJu4ZEXtJ4kSRgtFipqaykyVFJUVUWJwUBpjYGy6mrKamqoqK2hsraWKpMJg8noamxZVlmBzM0Nk9XR777GYnb0LDhHQ0SlQoGvu44IX18ifWMJcj5C8HF3x0vr7rriV7kpkCFzNep0NPI0N2oYWW0yUWWspcpowmA2uqaV19acMUCUIcPd2RZEq1KiUihRKRz7Mlos1JhNFFRWYrFZMVqtlFYbqDGbz3osrkceznf/0wIGb627sz2FxtWuQq/WoFEqr5jfPUGoI4IBodWplUpCvX0I9fZxTQs01DbqsSFJEjfOfZtle3dxvLCA9kHBl7ikbYtMJkPrvHUe7OV1QeuerUdMjdlESkE+ezIz2Z+dSXJ+PuklReSVl1NtNlFQVUlBVSUHsk8ik8kwWa2NN46jN0H9OzoBHo5HQgF6D9r5BzqnebqWCdB7oFYqXesbLWYKKivJqygnr6Kc/MoK8ioqyKsop8D5nl9ZwYnKirM+tgDQKJXo1RrcVSo0bkqUbgpHl1VnciWTxUJaUSEHc7IxmIxnDR7qk8lk6J2NVvUax2MP/WlBg7taTVlBIRsM5acCCpUKvUbj/Kx2PDZRnXqEolWqRJAhtBoRDAiXjaV7drH66GH0ag2fbVpP17BwuoaF0yk4tEFFIlw8d5WaHhFR9IiIajSvtNrAkbxctqYdZ0taKpvTUjEZqgDQqVTo1BpUCgUKhQI5MiQkKo21lFQbOJhzklqzhRrL2SvbukpVq1KhUSodL2f7g7rPGqUSfw8PInz90CiVqN3csEl2zBarM6uh3ZXF0WyzYbZaMFos1Fos1NbrilplNFJlNFJtNp33nLg521C4yRXOvAeOHBASkuPORm2tMzOlM9OlM6OiyWrFnnzogs+/VumGRtnwmNVKNzRuKue70vWucuVYcHOeD6XrvJxaVtlgnXN9V7spRZuMq5QIBoTLRq/IKCb3H8SBnJN8sPYPzM6rUoVcTnxQMF1Dw+kYEkq0nz9Rfv5E+foR4et7SbsPXsl8dXoGx8UzOC4ecNypSSnIZ3NaKnuzMqk01rgq2SqjkSqT473GbKbKWHveHBDVzkcKCrnc1YZB4UzEJJOBM+Oxo9J3poO22mx/uZmpUqFArXBD6eaGUqHATSHHTaZAJpc1TIzlTIhUP0V2XcpkJEcqaurSbDvnX6ga52MUqHZNq5+ESlYv4Vb9FN3100D/VQqZHLXSDa1S1ThgOEvQoXZrOO30ZRqvc3pA0jgwcZMrxJ2SS6jN/ZfMyMjg0UcfZevWrajVasaNG8ecOXNwc3NjzZo1TJ8+naysLPr168fChQuJimp8BSNcmdoFBLLwvmkAWGxWUgsKOJiTzcGckxzKzWZnZjr/27OzwT9huUxGqLcPUb5+jgDBGSRE+fkT7edPjH8AKrc292dwWZDJZHQIDqFDcAgMOveyde0bHEFCbcOg4UzTTEYMRqOzTUHD4KLKaMRkNV905efonaFAKVegUJwKOupXuDbJDraGFW1dFse6thWWc/SsuBhymQw3haJBIKSQ1yuXrGFwcvoYH/a68jmzT1qcY3hcKJtkp8ZsxmixnDo38vqZM+v2XzfehHO8Dme2y+ZKgCWXyc4ZQNRWVxO8b0ejZdQNghbHXZaG388cqNRt19eZXOxq0+b+Cz766KMEBgaSl5dHeXk5I0aM4KOPPuLuu+9m7NixLFiwgNGjR/Piiy8yYcIEtm3b1tpFFlqBUuFG59AwOoeGMaFPP9d0k8XCybJSMkuKySwtIbOkmKzSEjJKitmSlsp3u7Y3+AfuJlfQPiiIziGhdA4JIyE0jM4hYcQHBYsgoRnVb98QiOdf3p4kSZitVmotZtcjgFqL2fEowmxyTLOYndMd82vqlnEuV2sxY3StY264vPOzse6zxXJBV/oaNyW+Gg1xIaGEeHm7Glv66fS4q1RYbDZnDxFnT5F6PUbqppmtFkwWxzSzzer8bGm4nnNdq2R1ff+rAUpdwiqNUolK4YZS4eYImuoFJHbnXRGrc2Aox8/Cca64gP0rFQrmT7ofmQxXl2KT89GOyWqt927G3OC7BXNNDQaTiWKD4SzrWJqc1+N0g+PiGd+7L+N69yHEy/uitnG5aXP/7dLT03nsscfQaDQEBwdz4403cvjwYZYtW0ZCQgLjx48HYNasWfj7+5OcnEzHjh1budRCW6FWKokLDCIuMOiM8212O7nlZc6+/sUk5+dxJDeHA9knWb53t+tKSiGX0z4wiI7BIWdMSVz/3VenF89ZLzGZTOa4ClQq8b4E+zs9+Kgxm1wBRf0AosZsprymhrSiQrYfPUyRoYpt6WmuR1rgSLgVGxBIu4AA/PQezqyNOoK9vPHV6fBx1zXI5uih0VzQ7XKbsxtow+DBeoZpdYGI43OlsdbZG6WaUoOBkmoDpdXVlFQbKKisoLymcU6KOgq53HEMngH46hy9S9yVqnqPXk7d8SipNvDD7p0A6NRq1iQfxsvd/dR5cGa4DHBmufTUaPHUahv9jTUlLXz9c2G0WlxBlyNgOHPQcaK4iB927+SJ777iH99/zeDY9kT6+rkaf3o0eHdk7nS8N5yvV6ubLWX5pdDmgoEnnniCJUuWcO2111JWVsaqVat49dVXSUpKonv37q7ldDodsbGxHD58WAQDQpMp5HIifP2I8PVjSPsODebVms2kFORzOC+HI7k5HMnLIbWwgK0n0igxGM55leHt7n5qLAOdHj+9zjW+Qf1AondUNN7uupY+TKGZXUzwUVdZ2ex2sstKSS0s4HhhAamFBaQVFZBeXMTuzAxKq6sdV9RnoZDLGwUIPu7u+Oj09VJC6/DR6Yj09aNrWIQz34K6WY69js1up6ym2hEwOIMER8BgoMQZPJS5godKV++MupfJamm0zfKaGr7avqVJ+5fhGLTLTaFwdCm1S+hX/YhWqUSrUrt6a3ioNXi5a/HSuhPu40v7wCDcVWoiff2Ib2IPpJduuZ0juTl8v3sHqw7tZ+uJ485HV6Zz/qxO565SnSVYUKOvm67WuMp96l1NbEAgsQFnvqhpCW0uGBg6dCifffYZnp6e2Gw2pkyZwu23384vv/xCQEBAg2W9vLyoqqpqtI358+czf/58ALKzs0lKSmrWMhoMhmbfptBQa57jUCDU25/h3v7QyTFNkiRqrBYqTSbHy2yi0mSkwmxqOK22luMV5ew2OebXntb1zkej5Z/9BtMvtHVHzBO/wy3v9HPsBnRETseAEAgIabCsyWqlymymymxyvSrNZqpMJqosJqpMjnmVtbWkVVRQaTY5ckecoWK6Pqodf+/dH0918wYDp9M7X1FuGvDWgLf/OZe32e2YbTZqrVZMNitGm+OORa3VSpXJRIXrWE1UW8xUW8zUWKzUWM0YrTaMzvUsdhsWmx2L3Ua1s2tpUx7gyGUyVtxxD9oL6Hl0rYcP1w64ttFx1Fqt1Fot1Fot1Fgs1Fqt1FgsGK0WaupNq7U4l3EuX1pWxr7KijP+3E6nlMtZOf7eS3bXsU0FA3a7nZEjR/LQQw+xZcsWDAYD999/PzNmzECv11NZWdlg+crKSjw8PBptZ9q0aUyb5mholpiY2OwjDIpRC1velXKOTRYLpTXVFFVVsvLQAV76aRn/t341b4+byNMjbmq1cl0p57cta8lzbLJYKKiqJLe8jJSCfI7m55Kcl8e6Y0dZk3mCw2UlbJnxItH+AeffWAuTJAmLzXaq/YXzsYqx3qOVytoaKmprXa8qYy0G06nun3V3F+racRitFqqqqzFJ9rNmMJXJZET7+TOwXRzdIyK5pn0H+sbEnrOcdY+C6ndHNVotjcpstDSeVmuWY7TKqTXLMClk1Jpl1MokjDKJUrOR7Ipyig2NL159dTrCfXyJ8PElzMeXcG8fInz96Blx4YnI/oo2FQyUlpZy8uRJHnvsMdRqNWq1mvvuu48XXniBxx9/nEWLFrmWra6uJi0tjYSEhFYssSCc3YHsLH45sJ/NaSlsSTvuGgcg3McXXTPfwhWuHLVmM2uSj5BfWU5BZaXzVe9z1dmf33tqtLQPDCLS1++87QysNpurl0ZlraPXhsFkPK2BpeWM32tMJsdjgZoaqk0m1zyz9VSDR4vN0fWzqVfuF0LmfLk5R9XUKJW4K1UEeXrhXy97pNVmo9ZiYdPxFP48erhxBe6q2B0BxsV0B62jrmt46cyNoXXmytAqVYR6+dA3JpYIH19XxR/u40uYtw+6Fr6D01RtKhjw9/cnJiaGjz/+mGeeeQaDwcCiRYvo3r07Y8aM4dlnn2Xp0qWMGjWKV155hW7duon2AkKbNfit1zCYTl21uKtUTOjTn5sSutE5JBSz1Sp6LAgNSJLEbR/N4c+jh13TvLTuBHl6EuThSZfQMAa7t8dL646HRuNKyKR0JkQyOgekqjQaeeO3X5xdMR3fT707Kv8LefZdRyGTu/IonEtdRa12Zn1Uyt1QKuQNGhPK63XndGSEBLvkeARQ13PAkXfB0mjQMsn5MjuTSxlMjuRRWWWluMkVaFWOSriuMtY4x9zQqlQEaDRolY7KWl1//mkVuNaZtbKuZ4VjnbplG25f7eZ2WTUWPJM2959o2bJl/OMf/+DNN99EoVAwbNgw3n//fQICAli6dCmPPfYYkyZNol+/fixZsqS1iysIZ5X0zP+xYv9eNh1PYeuJ49SYzXyxeQNfOIcUdpMriAsM5IVRt3F33wGtXNrLm91+KvtgXTKi+l3vjBYLJuczarPzZbJaMFttjm57zq58ZpsNi9XqeHd2mTPbbFhtVsxWGxbnti2uXAN1V8DO/dbLQ1BWVoZ281rX97p5NnvDfAB26VSOAJtdotpsIsDDMYqn1Xl7Pa+inPTiIiy2pnWVk8tkuMkdCZTk9fIV1L08NBo8tRoaZi44lbvAaDFTZTQ2qILlMhkeWo0rFbPWOVCUvN4dCAmw2GxUGWspr6mhvLaG6ppzZ3mUy2R4ad3xdnfHS6sl2LPuc91Li7e7O971vus1Gg7t28+QgQMbVOAapfKKGfb8UmtzwUCPHj3O2rBp+PDhJCcnX9oCCUI9aUUFpBTkO1tPV1NsqHK0qjZUUWKodg24VFJtwGhp3Hq6Tl3vA0+NtsE/0+YmSY6UwEVVjsGe6vqh787LoebgfmelZGuQ0c8mSVTW1pBVWuKqFOsqwPqf6yo3i93mTMZjxyrZXOl4T1V4EjbnPlyVnmTHbj+VyMdWr2Kse6/LsIfzvf7ny0Zp8UWtVlRVRdEZGkc3lV2SMNusmC+gm70MwJlHQC6TO67qFQqUbo4rfJVC4cgOqXDchbDZ7dRazLjJFa6skW5yOTqVimg/P2cFr3NU5q5KXeeq9L2dAYBefWFdJ+vUZp5scu8A4fzaXDAgCG1NlbGW73ft4IstG9iSdrzBPLlM5upC6K/XE+XnR8/IqAZdDOs+17376nQXffVit9spr61xVBaGKoqqKl2fC6sqKXZNr6LIUEmxwdCgj3sDSX9cVBku1un/7lu7Uq977lyXUq8u+6Bc5pznvIXtuJp2Xlk7xyaoe1co5LjJ5Cict77dnMNBK93cqDYY8PX2dlWgbvXelQrFqWWdt87r3lWudzdUCgVKN+e7wg2Vs9++2vmuUjjSAZ96d2TVU7opUMgc+6uf3tlRccvqfXbMu9xvcQt/nQgGBOE0drud5Pw8Nh5PYUNKMj8f2Eu1yUTH4BDeumMCg2Lj8dc78gd4a93/0j9Sm91OabWBoipHZe6qyJ2fG1bujqv7s2WY89BonMPvehLh40vPyCjXcLx1IwRqlSrc5HIO7N9Pn8TE0yoJuavCGjXvXWx2O6+PuROtSola4YZcIafW5Lh9XFFbQ7mxllKDgeK64afrgpLKSsprGzdwkwA/nZ4gT0+CPb0J9vLC292dP48cJrUwHwmI8ffnug4JdAkLQ+WsBFXOq1KVm6MyVLs5yqNSuqF2c1SEGqXSOc/NlUNf6ebWqrntRY8N4XIiggHhqmexWdmVkcHG48fYfDyFzWmplFY7BooJ8vRiYp/+TB10Df1iYptUuZTXVJNVWlLv6v3UVXxxg++Oxwlna8Hs7e7uqsxjAwLp1y7WkZnNVcF7EKD3JMDDMUywRqlq8jHbc/Pp5+xmZTAaySwtJre8jPzKCgoqK9EqVew9mclDX31BgIcHpdXVFBmqzlhWD42GYE8vgjy96BYWQVAnL4K9vFzTgj0d3wM9PBs1mMwpK+Xj9WsZEBvHp5PuI6GV8y8IwtVKBAPCVclgNPL7kYP8tG8Pvxzc5+qq1SEohNt79HaNzhcbEHjGAKDWbOZ4UQGpBQWkFOaTUpBPakE+KYX5Z3zWK5PJ8NPpnRW4B51DQvFv77hid1Xup13FN9doi5IkkV9ZQVpRIWlFhZwoKmTroYM8t20DJ4qLKKyqbLSO2s0NX52O0hpHOwgvrZZuYeF0Cgmjb3QMvaNiCPP2IcjT6y91jQrz8WV0tx6sPnKY3w4fpENQiGgAJgitQAQDwlXlaF4uM5Z+x+qjhzFZLfjp9NzevRejuvVgSFwHAj0bD6IjSRIbU4/xw55dJOfnklKQz8my0gZXycGeXsQHBXNr917EBwYT5efnzK/uuHr301+68Qsyiov4bNN6DudmOyv/ogbdyOQyGQHuOjqHRzC6e0/a+QcQ7edPqLeP8xa+F15ad2QyGccLC/hhz062nTjO1hPH2Z99kiU7t6FXa+gb3Y7E6Bg6BAU7Ri8MCrmo0d4+vudvPLT4C579YQlfbdvCE9ffwMiErlfNADGC0BaIYEC4qhzOzWHlof3YJQlfnY5XbhvL3X0H4KV1b7RsdlkpX27dzMKtGzleWIC7SkWX0HCGxMXTPiiYeOcrLiAIT622FY6moZ0ZJ3hv9W/8b/cO5DI5HYNDiAsIYkSnLs4854G0Cwgk2s+fLZs2Nel5dlxgEP+68RbAERSdKC5ka9pxtp5IY9uJ47z/528Nurv56fTEBwXTISiY+OAQR6AQFEJsQCDqs6SBDfHy5qfp/+DHfbt5+n/fcv+iBQB0C49gZOeu3NilG4Ni24ucDILQgsRfl3DFqutWl1NWRk75qdet3Xvy0/69lFZXM/2bL3lu+Q+kvfY2ABtSj7E+JZkNKcfYl52FJElcG9+RF0fdxtieic2aLUySJGrM5gZJYaqcSWGqnKlYT59mMNab7lrG8aq1mPHUaHlqxE08ft0Iwn18m62MlcZaKmtrqaitIdDDk8Fx7ekcEkJBZSUHc7I5mHOS9OIiSqoNbHXeRahPpXDjkaHX4a5Wu1K8Gk8bLrjW4rhTk19ZgdFi4UD2SQ5kn+TtP1YS7edP2mvvtGqDQEG4kolgQLhsSZJEdlkph3Mdowtml5WS66zwcyvKySkvo9rUOOGJj7s7HYOC8dK6o3Zzw2q3c+07r3MoNxsAjVJJ/5hYZo0ew919+59x5DCb3U55TY0zx8Cp3AJ1edUbV95Gqky1DSpvg8l43kxudXTO0c08NHUvLeHevo4R0JzTonz9uLV7LxRyOQaTkd2Z6RhMjsFt8ivLySsvp8hZzvTsHNS7tlBtMlFjMWM0WzBazJhsjoQ8dXkEztZz4UKZbVbmrv0DhVzuzO5WP22rypUdztPTiyg/f0cimXrz4oOCRSAgCC1IBANCmydJErnlZRzOy+FwruPlGGI4l0pjrWs5lZsboV7ehHn70DU0nAHt4lAqFNjsdqpNJspqqsmrqCCjpJij+Xmu9dxVKhKjYnhs2HDaBwbhr/d0je3+UdJa1xCtrgRDzpzs58pjrnJzO63y1uDrrifS1w93lcqRxMXZLa6uS19dv3YkCZskYbc7RmYzW23Umk1Um01Umxx3EipqasgqKcFgNlJtMmG0WLBLEk989/UFn1+ZTOboM+/s865UuKFXaxzd9JyVtLtK3SAg8axLGqN1x1unw0OtaVzBn5ayVatSNlujSEEQmpf4yxTaLJvdztiP57IhNcU1yA9AgIcHCSFh3Nt/EAmhYSSEhtEhKIQADw+e+WEJy/buYuuJ4w2uujVKJe38A2jnH0h8UBA7M9IxWiyuMdc3pB5jQ+qxRmVwV6mcyYMciYUiff3w1Z9KIOSn07nmOfIO6PDQaFC5ufHw1wvZduI41SYThVVVVJscFfqFDIaicnNDp1KjcXOjvLbGldb2bNvQKlWuitpXp8NfryfI2cWvLlAK8/Yh4+hRRo+4QTyHFwQBEMGA0IZJksTmtFR0ahWzb7vDVfEHeDRu8Q+wMfUY7//5GyM6JTC5/yDa1TWa8w8g2NPLlRxoyFuzMVmt3NSlmyN7YL3K3K9eNkG/C+y7X9+ujHTmb1jHgHZxdAkNR+fM567XaBzvaseVtk6tduV6r5vnmqZWu66kM0uKGf7+m6QVFQIwrlcfRnfvSaCHp/Pl6JLY1Mq9KiNTBAKCILiI/wZCm+WmUDBlwBDe//M3Plq/hpu7dEcCBse5n/F285fbNgPw7vi76RJ25uQ1i7dtZnNaKm+Pm8jTI25qlnKWVhvYm5XJ3pOZ7M3KZE9WJimF+birVPzy2FP46HR/eR9Rfv4cnvU6Czat55VffmTZ3l28O/4uInz9muEIBEG42olgQGjTZt92B+E+Pqw8uJ8P1v7Bu6tX4anRMqJzAk+PuIl+MbEUG6rILS+nfaCjod8tH77HhmeeQ+nmRoEzo15+ZQWpBfm88dsvXNehM9Ovvf6CymGxWckuKyOzpJjM0hIyios4kH2SvSczySg5NRhNhI8vvSKjmdinH7f16NUsgUAdm91O/3axjO2VyCfr17Z6bn9BEK4cIhgQ2iRJkqisrSW3ooxuYRH46z3oFxPLwq0byS0vZ+meXfx6cD8W55Cw9WWVlhD93NNn3O7wTgksf+SJRrf/q4y1ZJWWkFlSQmZpMVmlJWQ5P2eWlJBbUd7oOX18UDD9YmJ5eOh19IyIcg1Q9FfZ7HbSigo5mHOSgznZHM7N5mBONscLC1ztIEK9vQk6y+MSQRCECyWCAaFNOZybzcTPPiKtsADjkoXnXLZuiGClQoGPu45ADw9Cvb2J8PUn1MsxEE6Qh5cjq57zs16jabCN+xZ+xs/791JWU33W/ajdlPQIj6RrWDgJoeF0C48gITTsjLn2/6p7FnzM8n27Gwx/7O3uzrD4TkxI7EfXsAi6hoUTFxh0yTIaCoJw5RPBgNCmpBYWcDg3h+ui2nFjYh9CvX1YvncXfxw+RJXJ6FrOS+vO6G49uKNXH27u2u2iu6x1CA5hoKHKkVDHmVin0lhLRW2t646DyWpxtAc4mdlofbWbEk+tBk+N1vHSavHUOL57aLX1pmtc87207nhqNIR6+zRKuRsfFEzXsHCS8/OoMjqOt7ymhj+TD5NdXkpGSREpBfl0DA6hW3gEcYGNcyAIgiBcKBEMCG1KXkU5ALfExvOPG24GYEhcPMOyXifMx4eXbrmdTcdT2Hw8la93bOWr7Vt47qbRzL593EXtry7V7ukkScJosbgy79UFCPW/V9YaHe/GWqpqT80/WVbqXMYx1G/9dL31uckVZL85p8F4CDNHj2Hm6DFIkkReRTnJ+XkczctlZ8YJlu7dxc6M9Abb2P/SbLqGRVzUsQuCINQRwYDQZmw+nsKT33/DtfEdSfAPBCCtqIDh779FWXU1v/79KQbFxTOxT38A7l/4GQu3biIxOqbZyyKTyRzJc1Qqgjy9LmjdpXt28ufRwxzKyeZQbk6DHAkRPr50DYugS1g4A2PjCPA4cxsDmUzGsYJ8vtu1nW0njnMoNwdJkpDJZHQOCaV/uziuad+BhJCwv3ScgiAIIIIBoQ35duc2zFYrn0y6j9yjyeSWlzHi/bcwGI2sffpf9IqMbrD8jowTAIz9+APCfXxJjIqmd1QMfaJj6B0Zc1Ej6DWHv3+7mPzKCtf3cB9fHr32eu4feM0ZR0U8m1d++ZH1Kcmu77EBgTxx/Q2M6tqDaD9/kZ5XEIRmI5MuJB3aJbJkyRJefvllsrKyCA4OZuHChQwZMoQ1a9Ywffp0srKy6NevHwsXLiQqKuqc20pMTGTXrl3NWr6kpKQmjfgmXJijebl0ffk5RnfrSbjCjT9zTpJTXsa6p/9F76jGV/81ZhN7sjLZlZHOrkzHK6Ug3zU/xj+ALqFh+Or0eGnd8XF3x9tdh7e7M42ue71pWnc8NJpmqWAra2vZkHqMdceOknTsqGvAI61SRf92sQR7euGh1eKlcbYf0Gqc7Qi0eGnr2hVoUbspSSnIZ3t6GpuPp7I5LdV1lyHU25vEqBhCvX0I9vRyvLwc7yFe3gR5ep2zcaP4HW554hy3LHF+L9y56sM2d2dg9erVzJgxg++++46+ffuSl+fIIV9cXMzYsWNZsGABo0eP5sUXX2TChAls27atlUss/FU2u50d6Sf49eA+/PUe/LR/DwABeg9+fPSJMwYCAO4qNYPj4hkcF++aVlFbw+7MDHZlprM7M53k/Dz2ncyivLbG1SDvbOQyGV71gwStI3DwcgYPjsChLpA4FVTUBRTuKhUymQxPrZZbuvXglm49AEdSorrgYPuJNHZknHC1QTBbrec9PxqlEk+NlgC9njAvb6x2OzUWMxtSjjlG/6vX86A+L62WQA9PQpxpiIO9vAlxBgwF+bn452QT7OWFr7vOlZ1REISrU5sLBmbOnMlLL71E//6O58JhYY5novPnzychIYHx48cDMGvWLPz9/UlOTqZjx46tVl7hrymvqabv6y9zvLAAhVzOoNj23NErkZV795BZWc5bv/9Kr8govN2blrzHS+vOdR07c13Hzo3mWW02Ko21lNVUU15T43jVnnovq66mvLaGinrTjxXkuZavMZvPuW83uYIADw+ifP2I9vcn0tefKD8/onz9aR8YxPCOCY26NposFlfDw4raGlejw4raU0MG102rqmvE6GysKJfJkGo5azBQ4VwutbDgjPOfXfc74Gif4K5S4anR4uvuGGsh0MPRHTPCx49IX19i/AMI9fZxjJKo1ohujYJwhWlTwYDNZmPXrl3ceuutxMXFYTQauf3223n77bc5fPgw3bt3dy2r0+mIjY3l8OHDIhi4jH2UtJbjhQV8Ouk+7uiViK/O8Zx/bUgkyTI7T37/NYPems0vjz1FjH/AX9qXm0KBr07v2seFMlutVDiDhLKa6lOBRL3gIb+ygqySEnZmpLN0z65GPQn8dHpXgBDpfI/y8yPGP4CeEVEXdYVut9upNptcQULD4OJUAFFX7mJDFRl5ediVCqqMRmpMZmqtFvIryl29Oc5HIZejcXNDq1LjoVHjrXUnwMMDf70n+rqulRoNHmrHCId1n+tGPIz288dDo73gYxUEoWW0qWCgoKAAi8XCDz/8wMaNG1Eqldx2223Mnj0bg8FAQEDDysDLy4uqqqpG25k/fz7z588HIDs7m6SkpGYtp8FgaPZtXm1MVivfJR/imyMH6BMcRnsbHNh56llWTXU1nfV6HuzWm4/27mDivPd5c9gNrVjixlRAIBCIDNQ6x8snAKLiALBLEiW1NRRUGyiorqagxuD8bGDPiTRWHdqPsd5jgmk9EpnYqWuzlE3tKhug1Dpenr6u+YZ2BvRnaGBpttmosVgoNdaSb6hylrmaktoayoy1VJiMVJnNGCxmas0Wqs1mig2n/gYVMhlymQy7cxjms5HLZLTz8iEhIJAEf8crWKe/ohpFiv8TLUuc3+bVpoIBrdZxpfD3v/+dkJAQAJ566ilmz57NNddcQ2VlZYPlKysr8ThD16xp06Yxbdo0wNFgorkbmYiGKxevxmzip317eO7HFWSWFDO+dx/mTJjUKPnO8t9WscNUzWcHdhPh48ucyfczIDaudQrdQiRJoqTaQEZxMePnf0i21XLJfq+a43e4rvw5ZWXklJdxND+X7SfS2J6exsmyUgBUCjc6hYTSJTSMzqFh9IqMotJo5FBONltPHGfNiTR+SnX0mAj29GJgbHsGxMYxuf+gs45OebkQ/ydalji/zatNBQM+Pj6Eh4ef8eogISGBRYsWub5XV1eTlpZGQkLCpSyicBGKqir55cA+ft6/lz+OHKLWYqZrWDhrnvoXwzp0AsBgNLIh9Rhrko+wJvkwB7JPAnB7j14smDz1om/tt1U1ZhNrjh7hl4P7WHlwPznlZQQ0w7gGl5JMJsNf74G/3oPuEZHc3PXUY7zc8jK2p6exzdlgcvm+3Xy9YyuzbxvHczePZnzvvpQYDOzISOPLrZv5Yc9O8isrWLZ3F8v27qK8poZXb7ujFY9OEK4ubSoYALjvvvuYN28eN954I0qlkjlz5nDLLbcwZswYnn32WZYuXcqoUaN45ZVX6Natm2gv0IZ9u2Mrn6xfy+a0VOySRLiPL/cNGsJt3XsxrEMn5DIZ765exU/79rDtRBpWuw21m5JBse15oFtvHhx1C4lRMVfUrePfDx/kg7V/sO7YUYwWC+4qFTd16caorj0Y3a1naxev2YR6+zCmZyJjeiYCjsabU76Yz4s//cCSndsorq4iv+JULoa4wCBXnojEqBgGXmF3gQShrWtzwcCLL75IcXEx8fHxaDQa7rzzTp5//nk0Gg1Lly7lscceY9KkSfTr148lS5a0dnGFs0gvLmLS558SHxjMczffyu09etEzIqpBxV5jNvHmb7+6njn3ioxizoRJDIptz/r16+kT3a61it9iFm3dyKpDB1zfa8xm1iYfJb24iF8O7CPa359oP39i/AOI8Qsgys8fnVrdiiVuHm4KBfPvvZ+f9+/hUG52g3lezrwK7io1AXoP2gcGXfRYE4IgXJw2mXSoOYmkQ63jxZ+W8vqqFZz497tE+vqddTmD0ciKA3tZsnMbvx0+iMVmo31gEP0Cgnlm7Di6hkVcUXcG6p6zpxcXkVFS7HrPqHsvKW7UVTDQw9MVILQPCqZjcAgdgoLpEBTSqKtiU7XW77DNZmPrieOsPnqYHRknSMnPI6+yotExu8nl+Or0xAcFc3OX7kzs04+oyyzrovg/0bLE+b1wl1XSIeHKIHO2KN9/MuucwYBeo+GuvgO4q+8ASqsNLNu7iyU7tvPNkQN8dXg/8UHBjO/dl/G9+1wRgUH95+xnuvMhSRIFlRWkFxeTUVLkes8sKWZXZjr/270De734PdzH1xkchNAx2PHqEBxCmLdPmzxXCoWCwe07MLh9hwbTa0wmNh53tBnZnZlBakEBhVUVbDqewqbjKTz34/9QKRTEBgQxOK49vaJinENKh+GldW+loxGEK4e4M3ARRER6frVmM4Pfms2J4iIOznyNcB/f869Uz/LfVlGgVfPD7p0kpRzFLknEBwUzrlcf7kzse0UEBhfDZLGQVlRIcn4eyfl5HCvIdX2un2FRr9bQISiYoR06cv/Aa+gc2nBAo8vldzirpITF2zaz4sBe9mdnYTpDxsZIXz+Gd0rgs3vvb1O/E5fLOb5cifN74cSdAeGS06pUfPvgo3R8aQbf7tjGsyNvvqD1fTRaxgy9loeHXkdhZSXL9u7ih907eeO3X/j3qhVXbWCgVirp7OymV58kSeRXVjgDA0eAcCQ3hw/WrOa91b/RLyaW+wddw4TEfnhqL59kP5F+fjw/6laeH3UrVpuNzWmpTJj/HxRyGZ/ccx8Hc7JZumcnn2/ewCf3/A03haK1iywIlyURDAgtxl+vJ9jTixUH9l5wMFBfoKcnDw+9zhUYLN+3m//t2uEKDDoGh/D11EfoGXnuQauuZDKZjBAvb0K8vF3dNQEKKyv5avsWPlj7Bw999QVPfv81H0y8l8utaWZ5TTUrDx5gxYG9FFZVMrZnIruzMsguK8VgMuImV4hAQBD+AhEMCM3OaDHzn6Q1/HvlCspra7hv0DXNtu1AT08eumYYD10zzBUYvLbyZ0b/5z22/WvmBT+OuFJJksS+k1msOLCXXw7sI6u0BIAAD088NBqw1LRyCU+x2+0UGwxkl5eSXVZKdlkZGSVFHMjOIqWggPwzNDBctncXy/ftJtjTizBvH54cPrKVSi8IVwYRDAjNpqy6mi+2bGTeutVklhRzU5duvDH2TrqGRbTI/uoCg8SoaPq+/jIT5v+HzTNebJF9tUWSJDnGGajfK8HZM+FgTjY55WXIZDL6x8Ty2u3juKVbD7qEOpJ6XYo0rmarlcKqSvIrKsivrCC/svzU54pyV8VfWFWJ1W4/63b8dDq6h0fSKzKagbFxxPgHEO7jS4iXl+iCKAjNRPwlCX/ZvpOZ/CdpDd9s30qtxcyg2PYsuPd+ru/U8tkhNx9P4aGvvkCSJBJOe45+uZMkibKa6gYVfXqxo2dB3fdqk6nBOn46PdF+/gxpH88Nnbtyc5fuBHo2X1pfSZIora5uWLFXVpBfUUFBZQV5FeXkV1aQV15OaU31GbehkMmQoEGvCHB0Jwzy9CLS149ekdGM6JzA0PiOoreAIFwCIhgQLlpyfi6Pfr2IpJRktEoV9/QbwPRrh9M9IvKS7H/On7/z1P++IdLXjxWPPcmorj0uyX5biiRJ7M7MYOnenfx++CBpRYUNegiAY4jmGH/HkMgjOnUh2t+fGL8Aov39ifL1b5bGgRablRNFRRx1NkQ85nxll5dRUFnRaCRGcFTkGqUSGTKsdtsZh1X21emI8vUjys+fCF8/Ik97BXl4XtSojYIg/HUiGBAumNVm493VvzFrxXJ0ahVvj5vI/QOvwUenu6RleOO3X7g2viM/T3/yopPvtDa73c729BP8sGcny/buIrOkGIVczjXtOzBlwBBi6mUkjPbzx9u9+c5xRW2Nq1ticn4ux5yfjxcWYrWfqvD99HoC9B74uuvwUGswmIyU1lQ3uCthtdvx0roTGxBIO/+ARpV9hK8v7qrLP5OiIFypRDAgXJDDudncv2gBOzPSGdszkf/cPZkgT69LXo4/jhyisKqSD++afNkFAhW1Naw5eoTfjxx0DVKkVCgY0akLL426jVu798LvDMMLXyirzUZOeVmDtgSZJcWklxRz6GQmJd9+4VpWIZPhq9ejV2uI9vfHZLFQbKii1mKhxGCgxGBALpMR7edPx+AQYgODiAsIIjYgkLjAQNr5B6JVqf5ymQVBaB0iGBCaxGqz8fYfK3n5lx/x1GhZ8uCjjO/dt1X69xdWVvLQV18QGxDIqHoj5bVVdrud3VkZ/H74IH8cOcTWE8ex2e14aDQM75jA2F6J3NKtxwU/G7fabGSXlZ6q7EuKHe0Jios4UVxETnlZo+fyajc3FHI55tOS99gkiaKqKux2x4BSHYNCiA0MdFT2AUHEBQYR5ecnGuwJwhVK/GUL53W8sIC7F3zMrsx0xvfuw7yJk5u1UVpT2e121h07yks/L6Ok2sCWGS+2yatRSZI4XljAumNHSUo5yuojhympNgDQOzKaf44cxcjOXRgQG3fWytVut1NkqCK7rJSc8jKyy8qcre9LSCsqIr2kmMLKijM2wrNLUqPpMpmMIA9Pwn18Cffxgepa+nXpSpi3t3OaL2HePm3yfAqC0PJEMCCc04/7dvO3Lz7DTSHn+2mPMa53n0tehtSCfBZt3cRX27eQVVqCl9ad/06eSo+ItpNkKLOkmLXJR0hKOcq6Y8lkl5UCEOLlzaiu3bkhoSsjOiUQ4OGJ1WYjv7KC3ZkZpyp5Zx/79OIisktLKTRUYTtHd7v65DIZwZ5ezuf0voR5+7oq/bqK/vRueCKVqyAI9YlgQDir11b+zIs/LaVPdAzfT3uMKD//S7Zvg9nE/A3r+HLbJrakHUcukzEyoStvjp3Ard17tuoVrM1u52heLtvT09hy4jhJxxxDEAMEeHgwoF0c9/QdQIi3NxarjayyEpbt2cXcP38ns7SYoqoqmjogiFKhIMjDkwhfP6L9/Ynw8SPM26dBRR/o4YlCtMIXBOEvEMGAcFbrko8CYLXZ2eccfbAl2wjY7HZWHznEl9s2sWzPLsw2G51DQnlz7ATu6TeAUG+fFtv3uRRUVrA9PY1tJ9LYkZ7GjowTGJwt6bVKFcGeXnQOCcVktZJbXsbP+/fy8/69rvUVcjkKmQyLzdYgCNAolYR4ehHp60+0v7+rcg/38XFW+L746fRXzbgLgiC0HhEMCGe16omn+Xr7Vl5b+TNjPp5Lj4hIXr3tjmbvz38kN4dFWzfx9Y4t5JaX46vTcVO79jw/biK9o6IveWVYajAwZ83vrD12lCO5OZTXnkrdK4MGFXqtxUxORRlqNzfsdqnRqHo6tZr4wGDiAgOJCwwmLiCQuMAg2gcGEeTpJSp6QRDaBBEMCGelVLjxt4FDmNRvIF/vcAQFoz98n78NGMycCZP+UoKb0moDS3ZuZ9HWjezMSEchl3Nzl27MnTCYW7r2YOvmzSRGxzTj0ZyZxWblaF4ue09msTszgz+OHCS1IL9Bhe+uUhHo4YGPuw6bXaK02kBuRbmrkZ7azY32zq52cYGnXu0Dgwj08BQVviAIbZ4IBoTzclMomDJgMHf37c+rv/7Mv1f+zLqUZL68bxpD2ndo8nZsdjurDh3gy62b+PnAXsxWK93CI3h3/F3c3XdAi+crMFks7MnKZE9WBvuys9iXlcmh3BxMVke2PJlMhiRJBHp4ck37DujUajKKi9hzMpOMkhIyShyNF/tExzB5wGD6xcSSGB1DsLjCFwThMieCAaHJlAo3Xrl1LDcldGPyF58ycu7bZL85B1/duRPkmCwWvty2mbf/WMnxwgICPDx4ZOh1TBkwuEV7BJitVnZmnGDdsaOsT0lmS9pxai1mwJHDv2dkFI8MvY704iJ+3r8Xf52eruERbE1L5Yc9O3GTK+geHsGkfoPoG9OOfjHtiA8MFilzBUG44ohgQLhgA2Lj+HzKAwx9599sSD3G7T16n3G5KmMtn25Yx/t//k5eRTmJUY5eCbf16NkiyWvMViu7MtNJOpZMUspRNh9PdVX+3cIjeHDItQyN70BiVAzhPr6kFxdx94KP2ZFxglAvb3Irytl8PJW7+w3gvoFD6B0ZLfrdC4JwVWizwUBqaipdu3Zl3LhxfPXVVwCsWbOG6dOnk5WVRb9+/Vi4cCFRUW2nr/nVpG90OzRKJa/9+jM+7jqGxndsML+wspLur75AQWUF13fszKL7pnF9x87Nfju9sLKSXw/u45cD+/jj6CFXvvyuYeFMHTyUa+M7MjS+oyu9r91uJyklmZk/L+P73TswWx05+GUyGa/dPo4Hh1yLv96jWcsoCILQ1rXZYGD69On06XMqwU1xcTFjx45lwYIFjB49mhdffJEJEyawbdu2Vizl1UutVPLppPv459LvGPbu6wyJi+f5UbcyolMXZDIZCzatp6CygjVP/YthHTo1234lSeJIXg4rDuxjxf69bEtPQ5Ikwrx9uKffQEZ0SuCa9h0I8GiYIfFQTjaLt23m253byC4rxUOj4c7EfmQUF3GsIJ8T/35HpNoVBOGq1Sb/+y1ZsgRvb28GDhzI8ePHAVi2bBkJCQmMHz8egFmzZuHv709ycjIdO3Y81+aEFnJv/0GM69WHzzYl8cKPS7lx7jskhIQxsW9//rPuT67v2PkvBQKSJHGyrJQjuTkczc/lcG4OSceOcsKZ4Kd3ZDQvjbqN0d170jMiCoszV/+RvFyyDh/kZGkpWWUl7EhPY9/JLBRyOSMTuvLcTaNp5x9AVlkJ6cVF5FWUk1VaQmxAUHOdGkEQhMtKmwsGKisreemll1izZg3//e9/XdMPHz5M9+6nBqXR6XTExsZy+PBhEQxcYna7ncO5OSzbu5uVB/dxIOekq3/94bwcXvxpKZG+frx869gmbc9mt5NeXMSRvByO5uVxNC+H7SnHyFn2LQaT0bWcn05Hx+BQru+UQKiXNxW1tRzOzWHVoQOcLCslv7IC6bSc/Hq1Bm93LT0iIrHYbGxIOcbKg/td81VubvSMiBLD6wqCcFVrc8HAiy++yNSpU4mIiGgw3WAwEBAQ0GCal5cXVVVVjbYxf/585s+fD0B2djZJSUnNWkaDwdDs22zLJEkirbyMP9JT2Z2fx8mqCqz18ubLZTLCPTzpERhMYkgYnfwCCHDXYT6ZQ9LJnAbbqjSZOFiUz4nyMjIqysmsLOdkZSUWu821jF6pwt3NDV+1Gm+VCqPVSrnJSEl1NZvTUtmclgqAWqHAR6NF66ZEJ5MT4+lNjdVCudGI0eYITgwmIzVmE5LFSpiHJzdEtSPcw5MwD08iPDwJcNehkMs5tncfxy7BuWwrrrbf4dYgznHLEue3ebWpYGDfvn38+eef7N27t9E8vV5PZWVlg2mVlZV4eDRu7DVt2jSmTZsGQGJiYrMPyHI1DPJyLD+PBZvW8/uRg6Tk52O2ncqs56HWkBAWxo2duzKqWw+6hUec9Xl7tcnExtRjrD12lLXJh9mTlema5+Pujk6lxt/Dg/KaGlfLf4PFTI3VQphGQ6SvI0WvznnlXm02UWIwkFVaQlpRIfnO0QBlMhmRvn50CQ0lLjCI+MBg2gcF0T4wmBh/f9Ee4DRXw+9waxPnuGWJ89u82tR/yKSkJDIyMoiMjAQckZ/NZuPIkSM8/PDDLFq0yLVsdXU1aWlpJCQktFZxrxiSJJGcl8sXWzfyx+FDpBTkY3Qm4gHw1enoFdmBO3olcnv33gR5nT05kMliYXt6Gn8cOcSqQwc4kJ2FTZKQy2RolSoUcrlrNL6ymhpUbko6BYfQMSSUDkEheGu1GK0Wtu3fj0mr5lBODsszdmOxOe4cyGUyYgMC6RIazp2J/UgIDSMhNIz2gUFolKIboCAIwsVoU8HAtGnTmDhxouv7O++8Q0ZGBh9//DEAzz77LEuXLmXUqFG88sordOvWTbQX+AuySkt4ecVyfti9k6p6z+Z93XUMbh/PuF59uLvvAPQazXm3dSgnm3+v+plle3Y3uIsAjnz+UX5+dA4Jo2NwKJ1CQukUHEq0vx8pBQVsSD3GhpRkvty6iRqz2bVejH8ACSFhjOrWnYSQMLqEhdMhKET0/RcEQWhmbSoYcHd3x93d3fVdr9ej0WhcbQWWLl3KY489xqRJk+jXrx9LlixpraJetsxWK59tTGLOmt9JKyoEHKPqDY6LZ2KffkzqN6jJYw7Umk28+fuvfL5pA9nlZa7pMf4B3N6jF32i29EpOJT4oGC0KhXVJhNb0lLZkHqMRVs2sj3jBGarFZlMRvfwCO4fNJSeEZF0CQunODWNm0aMaIlTIAiCIJymTQUDp5s1a1aD78OHDyc5Obl1CnOZ23I8lVm/LCfpWDJWZ2O9dv4BPH7dDUy75tom32LPKSvj4w1r+HHvbo7m5SE5h/SJDwpm6qChTOjTj0hfPwCyy0rZnp7G1zu2sin1GLsyM7DabSjkcnpFRvH3YSO4pn0HBsfF46PTNdhPUkZWMx69IAiCcC5tOhgQ/prs0lJmrljGsr27qXAOw6tXq7mj1wBeHj2GSD//827DbLXwzY6tfL19Kzsz0qk01rrmhXn7MLn/IP458mbkcjm7MjP4ZsdWdqafYHtGGrnl5QAoFQr6RrfjmRtuYmh8RwbGxuGhufgRDwVBEITmJYKBK0ytycS7f/7GfzetJ7O0BAA3uZxr4zvy/M2jua5jwnlTAm9JS2X+hnWsTT5CTnmZazhfrVJJv+h2jOnZm37t4jiWn8f2jBMMefvfHM7LcfXxjwsMYlh8J/rGxNI3ph09wiNRK5UtediCIAjCXyCCgStAeXU176/5nSU7t3G8sAAJR6O9ziGhPH7dDUwddA0KheKs628+nsLCLZtYn5pMRnGRK4eAXCYjxj+AbuERdAwKocBQxf6Tmby0YjlmZ5IhX52OfjGx3NErkb4x7egbHesaB0AQBEG4PIhg4DKVV1HG23+sYtmenWSVlrqmR/n5c2fvPjx382i8tLpG60mSxPqUZL7ctpkNKclklpa4uvrJAG93d4I8vfDSasmvqOBEcZEr/W+Ahwc9wiP5+7AR9IiIpF9MLLEBgc0++JAgCIJwaYlg4DJSWFnJq7/+yNI9u8ivrAAcFXh8UDD39BvI48NG4FWvN0ad/Sez+Gj9Gv48episkhJs0qnK312lRqtSUm0yU2sxU1ZTQ3ltLfGBwfRvF8dDQ6+je3gEPSKiCPb0EhW/IAjCFUgEA21ceU01H6xdzcItG8koKQYct++7hUVw38AhPHTNMDSn9bsvMVTx2ab1LN2zi8M52Q0SCKnd3FBIcsw2KxIgIdE+MJjuEZH0CI+ke0QkXULD0alFrn5BEISrhQgG2qBiQxXfbN/KpxvWkZyf62oD0DEohIeGXsejQ69D6XbqR2eyWPjl4D4WbdnE5rRUymqqXfPk9a7k6+4i9IluR7+YWPpGtyMhNAy3c7QnEARBEK58IhhoI+qe5b/+2y+sOXoYu7NlfrCnF5MHDOJfI2/B29kX3263sz7lKF9s3sia5CPk1mvxX1+olzcDY9vTJ7odfWPa0TsyuknZBAVBEISriwgGWllptYGFWzbx3p+rXP3y3RQKxnbvxYujbqNruGP0xsM52by0Yhm/HNhHVmmJK1ioI5fJ6RoWxo0J3ejfLo6+Me0I8fK+xEcjCIIgXI5EMNBKdmem884fq1i6Z5crI6C/Xs9TI27k4WuuQ61w4z/r13Dn/A9JKypsMGQwgMrNjZ4RkYztmcg18R3pGRGFyk38OAVBEIQLJ2qPS8hmt/PTvj28/MtyDuZku6b3jozmuZtHMyAmjlm/LCf+xRkUG6oarKtXqekVFc2kfgO4rmMCMf4BomW/IAiC0CxEMHAJVBlrmbf2T97/8zdKqg0AaJRKJg8YxJDYDny+ZQOT/vsptZZTI/a5yeV0Cgll+rXDuaNXH5HIRxAEQWgxIhhoYd/t3M59Cz9zde/rEBTMsyNH4anWMGXhfOZvSHIt66nRcF3HzswaPYauYRHiyl8QBEG4JEQw0EIkSeLFn5by71UrALiuQyfen3APgR6e3DX/I5JSHaMv+un0PHTNMJ6/eTRalejbLwiCIFx6IhhoAbVmMxM/+w8rDuwDYPZtd/DPkaOYs+Z3nlv+g6vB4OPXjeD9O+8RdwAEQRCEViWCgRbw8i8/suLAPtRubvzw0N8Z1a0Hb/z2C88t/x/gSAT0xz/+yXUdO7dySQVBEAQB5K1dgCtNtcnEx0lrAHh73ERGdetBsaGKN1b9wqgu3Yjy9cMuSfxn3Z8YjMZWLq0gCIIgiGCg2X29fQtVJiNapYopAwYD8PqqXzCYjLxxxwSeHH4jAD/u282Qt18j6dhRJOlM+QMFQRAE4dIQwUAzK6iqBKDWYubZpd9hMBo5UVSIUuGG0WJhVLfuaJRKwn18ySwp5rr33qDzzP/jvdW/UWIwtHLpBUEQhKuRCAaa2XM3jeaevgMAmL9hHd1feZ77Bg0hyNOT2z6ag8ZNye9PPEtFbS16jZp/3z4eX52OZ374lvAZ/+De/37CxtRj4m6BIAiCcMm0qWDAZDIxdepUoqKi8PDwoGfPnqxatco1f82aNXTs2BF3d3eGDRtGZmZmK5b2zBRyOQvvm8Z9g64BoNJoZMzHH/D3YcOprDUy8bOPGNK+A0nP/B8Wm513V69i2SOPs/+l2TwweCi/HNzP0Hf+TbdXnmdDSnIrH40gCIJwNWhTwYDVaiUiIoL169dTUVHBq6++yp133klGRgbFxcWMHTuWV199ldLSUhITE5kwYUJrF/mMFHI5n026Dz+dnlHduqNUKMguL+P+Qdew96QjgOkREcXXUx+mpNrArsx0uoZFMO+ue8l5aw6fT3mAWrOZYe+9wZPff02t2XyePQqCIAjCxWtTXQt1Oh2zZs1yfb/llluIiYlh9+7dlJSUkJCQwPjx4wGYNWsW/v7+JCcn07Fjx1Yq8dnJZDIMJhP+Oj1mq5UAvSf5lRUNBhNq5x8AQEFlpWuau0rN3wYOYXzvvsxY9h1z1/zBqkMHWPi3B+nfLu6SH4cgCIJw5WtTwcDpCgoKSElJISEhgY8//pju3bu75ul0OmJjYzl8+HCjYGD+/PnMnz8fgOzsbJKSkpq1XAaD4bzbrLVaMFktZGRlAVCWl0dWaQlms4U1a9eikMsxWa0AbN67h3YWe6NtjAuJpN2wkby1fROD35rNwlFjCPfwatZjaauaco6FiyfOb8sT57hlifPbvC4oGFi9ejVLliyhsLCQFStWsGvXLiorK7nuuuuavWAWi4V77rmHKVOm0LFjRwwGAwEBAQ2W8fLyoqqqqtG606ZNY9q0aQAkJiZy7bXXNmvZkpKSzrvNo3m58D/INpvQqdU8Pe5Otqef4OeP51Lk4c7EPv0BaLfuNyqVirNu71qg3F3Dv1f+zKjrhuOj0zXrsbRVTTnHwsUT57fliXPcssT5bV5NbjMwb948HnnkEdq3b8+GDRsA0Gq1vPDCC81eKLvdzr333otKpeLDDz8EQK/XU1nvdjpAZWUlHh4ezb7/5nCiuBCAHRkneGbETQR7eTO6Ww/ig4J554+Vrt4CiVEx7MrMOOe2/jh8kH4xsVdNICAIgiBcWk0OBubMmcOff/7Jv/71L+Ryx2odO3bk2LFjzVogSZKYOnUqBQUFLF26FKVSCUBCQgL79+93LVddXU1aWhoJCQnNuv/mUlFb6/r82LARAMjlcp654Sb2ZGUy/dsvsdpsDIxrT2ZJMZ9v3nDG7ZgsFnZmpjOsQ6dLUm5BEATh6tPkYKCqqoqIiAgA18A6FosFlUrVrAV65JFHOHr0KCtWrECr1bqmjxkzhkOHDrF06VKMRiOvvPIK3bp1a5ONBwFu79GLMG8fAH7YvcM1/f6B1/DsDTfzyfq1jP7wfSYm9ueGzl14cPHnfLtja6PtVNTWIkkSIV7el6rogiAIwlWmycHANddcwxtvvNFg2gcffMCwYcOarTCZmZl8+umn7Nu3j+DgYPR6PXq9nq+//pqAgACWLl3K888/j4+PD9u3b2fJkiXNtu/m5q5S89206QA8/9MPWG2OkQrlcjlv3jGBTyfdx5rkIwx//03m3HkP17TvwOQv5rNk57YG26k0Ou4weNYLjARBEAShOV1Qm4Hly5cTHR1NVVUVHTp04H//+x/vvfdesxUmKioKSZIwGo0YDAbX65577gFg+PDhJCcnU1tbS1JSEtHR0c2275YwMLY9t3brSWl1NZ1n/gtjvXwBDw65lpWPP83JslKGvfcGL426jf4xsdy94GOe/P5rzM6eBnq1GoVczo70E611GIIgCMIVrsnBQEhICDt37uS7777jm2++YdGiRWzfvp3g4OCWLN9lb/mjTzA0viPHiwqJe+FZKmtrXPOGd0pgy4wXcVepuOXD95k+bDiPDRvB3DV/MOTt2aQXFxHs5c3UwUOZv3EdaUUFrXgkgiAIwpXqgjIQymQy+vXrx/jx4+nfv7+rIaFwdjKZjLVP/Ytbu/cit6KcmOeeIbXwVKXeKSSUrTNeokdEJHcv+Ji4wEB+eOjvpBQU0Pu1l9iblcnMW25HqVDw2q8/t+KRCIIgCFeqc9bmERERREZGnvclnJtMJuPHR5/gvoFDKKupJmHmv1i0dZNrfqCnJ2uemsGYHr35x3dfc6K4kD0vvIJOpWb8p/PQKpWM7NyV7RniUYEgCILQ/M6ZdOirr75yfd65cyeLFi3i8ccfJyoqiszMTD788EMmT57c4oW8Uvx3ygPE+Afw0s/LuG/hZ/x6cB//uWsyAR6eaJQqlkx7lEn//YR/Lv0Oi83G99MeY+g7/+ZvCz8jxj+Q3w4fRJIkV28OQRAEQWgO5wwGhg4d6vo8ffp0fv/9d8LCwlzTbrrpJm688UaefvrplivhFeaFUbfhp9Mz/dsv+WH3TlYe2M8zI2/mqeE34qnV8vXUR3CTK3j+xx/488kZvDN+Iv/47ms6h4RSazFTZTSKngWCIAhCs2ryQ//c3Fz0en2DaXq9npycnGYv1JXukWuv55fHnsLb3R2Tzcorv/xI7PPP8N7q37DabSyYPJV2/gE8+s0ipg25lg8mTnKkNwbKqg2tXHpBEAThStPkYODWW2/l1ltvZfXq1Rw9epQ//viDMWPGcOutt7Zk+a5YN3ftzoGXXqN/TCwA4T4+PPPDt9z7+aco5HKGduhESkE+i7duJkDvSYDekXb5jk/ntWaxBUEQhCtQkwcq+uSTT5g1axYPP/wwubm5hISEcOeddzJz5syWLN8VLdzHl44hoezMTCchLJz92ScJ9fKh68vPkVpYQJewcN74/VfSi4twk8txkyt49NrhrV1sQRAE4QrT5GBAo9HwxhtvNMpCKFy8vIpyvti8gZEJXflm+1b6xrRj3rrVdAwOIdTLm0M52bQPDEIukxHp68d306bTOyqmtYstCIIgXGGaHAysXbv2rPNaYgjjq4HGTYlCLsdL42gQmFdeTr+YWH54+DEiZjzJv268BY1SyawVy9nx3Cx8dfrzbFEQBEEQLlyTg4GpU6c2+F5UVITZbCY8PJwTJ0T/94vho9NxQ+curD12lGs7dGRDyjEsNhv5FRUAHC8sQKdWo1Qo2JF+ghu7dGvlEguCIAhXoiYHA+np6Q2+22w2Zs+ejYeHR7MX6mry6m13cNMH77IzPZ0AvSf5lRX0f+MVhsZ3ZOneXfjpdPjp9Nw8711uTOjKu+PvplNIaGsXWxAEQbiCXHQ+YYVCwfPPP89bb73VnOW56vSIiGLnc7PoFBJKoaGS27v3wm63sz4lmUl9BxLm7Ut+ZQVPDb+RrSfS6Pv6LHZlpJ9/w4IgCILQRH9pcIHVq1eL8QmaQbiPL+ue/j96hEey9thRPr7nbwAs3r6Zv1/n6D2gVak4NPM1AvQejPrwXQ7mnGzFEguCIAhXkibX5KePU+Dv78/48eN5/fXXW7J8Vw2dWs3yR5/AZLVyMCebvw9zBAGPfL2I/jGx/HvVCn7av5dVjz+Dm1zBwDdfZemena1cakEQBOFK0OQ2A/XHKQDQ6XTEx8fj6enZ7IW6WkX6+nFHr0QWbd3Ep/f+jXnr/iTEy5udGenEBwbz2LdfkhgVw2u3j+OT9WsZ/+mHjOnRm3fH30W0f0BrF18QBEG4TDX5zsDOnTsZOnSo65WYmIinpyfvvfdeS5bvqjNr9BjMNisfrVuDXq1Gq1QytEMHjhXkEeXrR255GfcvWkBOeRn9Y+JYdegAHV6aweTPPxVtCQRBEISL0uRg4JVXXjnj9NmzZzdbYQSICwxi4d8eZEfGCZQKN3LKy1ibfJQOQSGU19aQW1FO+8Ag/PR69mdnYrRaAPh25zb6vj6LqH89yWPffsmao4cxW62tfDSCIAjC5eC8jwnqkg3ZbDbWrVuHJEmueSdOnBBdC1vAxD79ifT1463ff2Xlwf0ApBUVYrXbAMgoKcZisyEDOgQF46vTUWwwcLywgJNlpXyUtIaPktagVCjoEhrO6O49ub17TxLCwlEqmvxkSBAEQbhKnLdmqEs2ZDQauf/++13TZTIZwcHBzJt3aQfOKS0tZerUqfzxxx/4+/vz+uuvc/fdd1/SMlwKA2Pb8+Oj/6CoqpIf9uxkY+oxNqQcI7eiHIvNERRIwLGC/AbrqRQKtCoVdrtEtdnE3pOZ7D2ZySu//AiAUqHAQ6MhQO9BuI8vsQFBtA8MpFNIGF3Cwgn18sZNobjERysIgiC0pvMGA3XJhiZPnsyXX37Z4gU6n+nTp6NSqSgoKGDfvn2MGjWK7t27k5CQ0NpFaxEBHp48MvR6Hhl6PQDZZaXszDjB0bw8tp5I5XhhIbkVZRiMRiTAbLNhrq096/asNhul1dWUVldzrCCfNclHGi3jJpfjrlLjpdUS4OFBiJcPUX5+xAUGER8YTKi3N0GeXgToPUTgIAiCcAVo8j3jthAIVFdXs3TpUg4dOoRer2fw4MHceuutLF68+KoZQCncx5dwH1/G9Gw43Wa3k1NeRnpRIfuyT5Kcn0tqYQGZJcUUG6qoNpmw2u1IZ96sixyQJMddhSpjLSfLSoHMsy7vrlLh664n2MuLKF8/Inz9CPbyItjTiyBPL4I8PQn29MJfBA6CIAht1jmDgU6dOnH06FHAkWdAJpOdcbmsrKzmL9kZpKSkoFAoiI+Pd03r3r0769evvyT7b8sUcjmRvn5E+voxtEOnMy5jtJjJKS8js6SE/dlZ7M5M51h+PlllJZRWV2Oz27EDSJLjdYZ9qBQKFM5EUxabjRqzmRpzKdnlpezKPHdvBj+djmBPb0K8vQny8CTQ0xE0BHt5EebtQ7iPL2HePujU6r96OgRBEIQLcM5g4LPPPnN9Pj3PQGswGAx4eXk1mObl5UVVVVWDafPnz2f+/PkAZGdnk5SU1OzlaO5tXkpyoKebhp6xnSDWEThIkkRetYHU0hJSy0o4XFzI8bISqi2O3gpezgq62myhVrI02J5SLifO25e+oeHUWi3kGQzkVxsorqmm3GRCct6PKKmupqK2lvSiQuQy5yMNu71R+fRKFb4aDUHr/iBYr6e9jx8dfP2J8fbBTWS8bBaX++/w5UCc45Ylzm/zOmcwMHjwYNfnwsJCxo8f32iZH374oflLdRZ6vZ7KysoG0yorKxv1aJg2bRrTpk0DIDExkWuvvbZZy5GUlNTs22wraswm9mRlsiP9BDvS0/h+9w4AekTFsO7p/wMcdxh2pKezZOc2PtmwFovdztHSYrrGtGPJ359ssD2b3U5ueRnJ+Xkczs3hSF4Oh3Nz2HriODH+AWyZ8SKVtbXklJeRXVZKdnkZOWVl7DuegkmhYGPuSVYcPwaA2k3JjQldeXvcROICgy7tibnCXMm/w22FOMctS5zf5nVBQxifKRiYNm0a48aNa9ZCnU18fDxWq5XU1FTat28PwP79+6/YxoMtzW63czQ/l+3pJ9iR4aj8D+ZkY3NerUf5+TMhsR/3DRrC8I4JpBbks2zvLlYdOsDBnJOU1dS4thXp68cNCV0b7UMhl7vaEXi7u1NWU83uzAwAInx88dd7EOTpRfug4Abr1f2hS5JEWlEhuzLT2XYijQ/W/sGfyYfJfnMOXlr3ljs5giAIV5HzBgMnTpwAHBVHenp6ozwDGo2m5Up3Gp1Ox9ixY3nppZdYsGAB+/bt46effmLLli2XrAyXM5vdzpa0VDYdT2Hz8VS2nEil3Fmhe2nd6RMdw4yRo+gXE0vvyGjSigtZsnM7T3//LceLCjDVS2KkUSrpGhbObT168/iwEfg7785IkkRRVRXHiwrYdzLL0bUxK4NDuTmYrVbkMhkDY9vz7vi7mH7tcFf7g7Ox2m2o3NxQKhSkFjq6UfYIj8RDfel+7wRBEK505w0G4uLikMlkSJJEbGxsg3nBwcHMmjWrpcp2Rh999BH3338/gYGB+Pn58fHHH4s7A+eRWpDP51s2sHjbZnLLywHoFBLKHb36MCi2Pf3bxWKz2fh+907WpyQzf2MSJQaD61k/gI+7O32jYxneKYHxvftgsds4UVREenERr678iYziIk4UF5FRUky1yeRaz0+np2dkFI9fdwO9IqMY3ikBf/2pwCGrtITMkmLHI4KyMk6WlZJTVsqRrEwqVy4nv7LCFYCGefvwwqjbeOK6G8RomYIgCM3ovMGA3XnLeOjQoW2i1b6vry8//vhjaxfjsiBJEnPX/MEzP3wLwE1duvHe+Lu5vmMCfno9kiTx383rGTnnbWcXQgeVmxuxAQH0iorhtu49Gdm5K4dys1mfeowNKcm8+fsv1JjNruX1ag0x/v7EBQQxvFMCMf4BtPMPpHt4BOE+vq5gMrOkmPUpyezKTGdPZga7szIora5uUGZPjZZwHx88VCoGxnYm3NuHCF9HcqRr2nc4750EQRAE4cI1uc1AWwgEhKaprK1l2d5dfLl1E0kpyYzp0ZsP755MiJc3x/LzeOO3Ffx++BApBXmYndkMu4dHMHnAYG7v3otqs5ldmensykzng7WruX/RfzFZLchkMrqGhXP/oKH0bxdLXEAg7QIC8dPpXd1OTRYLaUWFHCvI4+sdW0kpyCelII/k/DxXxe8mV9A1LJyxPRPpFRlNu4AAInz8CPP2wVOrBUTjIEEQhEupycGA1Wrlo48+Yv369RQXFzdoO7Bhw4YWKZxwYbamHWfumt/5+cBejBYLsQGBvD1uomN8gg/f50heDkbLqW6Bfjo913fqzJQBg1l95DDL9uzixZ+Wuq769WoNvSKjmD7seq5p34HBcfH46vSu9a02G0kpyaw6dICjeTmkFOSTUVKMvd7vRoiXN/FBwdzRqw89I6LoHRVN17BwNErVpTsxgiAIwjk1ORh48sknWbt2LdOmTeP555/ntdde4+OPP2bixIktWT6hCbanpzHr5+X8fuQgvjodUwcN5a4+/TlWkMdLPy8jp7wMAB93HYNi4xnfuw+ju/VkxYG9zN+4jlHz3kOjVJIYFcODQ66ld2Q0idExxAcGN3o2XxcAfL9rOz/u20OxoQqNUkmn4FD6xrTjnn4D6RAcQoegYNoHBruu9AVBEIS2q8nBwLJly9i6dSuRkZHMnDmTJ554gpEjR/LQQw9d8kaEgkNBZQVPfv81S3Zux1/vwRtj72T6tcP548hBbvtoDiXVBgD6x8Ty6aT76BoewYmiQj5Yu5pnly6hymika1g4H941mXv6DThvV701Rw/zwOLPySwpRqdWM7pbD8b16suNXbrirhJZAwVBEC5XTQ4GampqiIiIAECr1VJTU0PHjh3Zu3dvixVOOLvPN2/gmR++pcZs5qVbbueZETdRWFVJv9dncSQvF4BhHToxf9J9xAYGsSsjnXGfzOPHfbuRy+TcmdiX6dcOp3+72LOmma5TbTLx7NIlfLJ+LR2CQvjfQ49xc5fuaFXiVr8gCMKVoMnBQKdOndi5cyd9+/YlMTGRWbNm4enpSVhYWEuWTziD1IJ8Hvjyv/SMiOLrBx6mY3AoALf+532O5OXiJlew/f9m0jMyCnD0KrjtoznkVZTz9+tG8M8bbibMx7dJ+zJZLNz6n/dJSknmqRE38uqtd4ggQBAE4QrT5H5ac+fORalUAvDee++xZ88efvnllwbjFwiXRmxAIHGBQWhVSlcgAPDZvfcT4uWF1W5j+Ptvsv+kYwApmUzGO+MmIpPJSMnPJ8DDs0n7sdnt3L9oAeuOHWXR3x7knXF3iUBAEAThCnTOOwNr164967TnnnsOAHO9/ubCpVFSbUCrVLIjPZ0as8n1vD42MIgd/zeLri8/T1lNNU989xVJzzh+Tnf1HUBOeRn/XPodm9NSGXaWkQ3rHMnN4f5FC9iRcYLXx9zJpP6DWvy4BEEQhNZxzmBg6tSp592ATCZzpSwWWl56cRE3znUkCfr+oemuQECSJBZv28w/vv+aKpMRgNfHNBxLQi5z3AjqcNo4APVZbTbe/mMlL//yIx5qDd888AgT+/RvoaMRBEEQ2oJzBgPp6ecen164tOx2O6M/fI9ig4HV//gng+LiAcdz/Ue+WcTCLRvpHxPL9vQ0Hhg8lAGx7RusvzcrgzBvH0K9fc66j5krlvP6qhWM792HeRMnE+jZtEcKgiAIwuVL5Ha9jCzft5sjebl8dPcUVyBQVFXJiDlvsXDLRl4YdRtrnvoXEo48/qcL9PSitLralWL6dNllpbz/52/c3XcA3017TAQCgiAIV4km9yYQWpckSbyx6hfig4IZ17sPALnlZQx5+zXyKsob3M4P8PAgt6K80TZCvb2ptZjJrSgn/Ay9CV799SfsksTs2+5o0WMRBEEQ2hYRDFwmtqensTsrg4/unoJCLqfWbGbMx3MprKpk3dP/R7+YUyNKatyUWJxjDtTJLivl7d9XEh8UTOAZehPUmE18u2Mb9/QbSLR/QIsfjyAIgtB2iMcEl4lPN6xDr9ZwT78BSJLE1C8XsCszg6/uf7hBIABgttlQKhSu7yaLhfGffkiN2czyR55A5dY4Bvx5/14MJiOT+g1s8WMRBEEQ2hYRDFwmVh89xC3duuOh0ZJVWsKSndt5ZsRN3NajV6NltUolmSXFru87Mk6wPT2Nt+6YQKeQ0EbLH8vP45kfviXKz59r2ndo0eMQBEEQ2h4RDFwm/PUeGIwmwNEmAMBDoznjslMHD+WPI4fYm5UJ4AoAymqqGy17KCeba999HavNzorpT6KQi18JQRCEq41oM3CZiPDx5WRZKQDuKjVh3j4cLyw447LTr72e11b+zFu//8q3Dz6Kh1pDqLc3G1OP8cT1N3A4N4dDOdkczMlm8bbNqJVu/PnkvxpkMxQE4dKw2+1kZ2dTXd04WBfOzsvLi6NHj7Z2MdoUpVJJYGAgnhfRE0wEA5cBSZJILy5ypRGWJAmT1dpoeGFwNAR87NvFGC0W7JLE88t/4NMNaymtqabGZMbj8YeQJAkArVJFYlQ0/53yAHGBQZf0mARBcCguLkYmk9GhQ4cz/k0LZ1ZVVYWH8y6p4KgXamtrycnJAbjggEAEA5eBQ7nZHMnL5T/DhgNworiQYkMV/WNikSSJvIpyDuVmk3TsKJ9uWEdZTQ0KmYz/7d7h2ka4ty/92rWjS2g4XcMi6BoWTruAQPFYQBBaWXl5OdHR0SIQEP4SmUyGu7s7YWFh5ObmimDgSnM4N5u/f7sYhVzOHT37UFhZyUs/LQNgd2YGs399kuzysgbreGm1GEwm1AoFDw65lldvvQMvd/fWKL4gCOdhs9lcg8AJwl+l1WqxWCwXvF6bCEVNJhNTp04lKioKDw8PevbsyapVqxoss2bNGjp27Ii7uzvDhg0jMzOzlUp7aWSXlXL/ogV0f+UF9mef5L3xd/HfzeuJee4pvt25DRnw2aYkCiorAJDLZK51vbTuPDL0elJnv80HE+8VgYAgtHGyen+/gvBXXOzvUpu4M2C1WomIiGD9+vVERkaycuVK7rzzTg4ePEh0dDTFxcWMHTuWBQsWMHr0aF588UUmTJjAtm3bWrvoza68ppo3fvuVD9b+gV2SeOL6Gwj38WHmiuWU19S4lpMAGWBxphbuFh7B7T16c2v3nnQPjxT/XARBEIQmaxPBgE6nY9asWa7vt9xyCzExMezevZvo6GiWLVtGQkIC48c7RuGbNWsW/v7+JCcn07Fjx1YqdfOrqK1hyNuvcSQvl3v6DuDl0WN4/qelvP/n742WVcjlXBvfkTE9ExndrQcRvn6tUGJBEAThStAmgoHTFRQUkJKSQkJCAgCHDx+me/furvk6nY7Y2FgOHz58xmBg/vz5zJ8/H4Ds7GySkpKatXwGg6HZt2mz23l+w58k5+fyxtARJAaH8sD8j1iX5Rg5UobjboCXWsP93XpyXVQ7dEoVAGkHDpLWrKVpfS1xjoVTxPlteU09x15eXlRVVbV8gS5QSEiI63NNTQ1qtRqFM7PpnDlzmDBhAsnJycycOZPNmzdjt9vp2bMnL730Ev369QMgMzOTrl270r17dzZu3OjaXklJCfHx8YSEhHDo0CEAPv30U7755hsOHz7MuHHj+OSTT1zL79ixg9dee429e/eiUCgYMmQIr7/+OmFhYec8hocffpj//e9/qFQqlEolPXv25O233yY+Pp53332XLVu2sHTpUtfyPXr0IDY2ttG0F154gXHjxp11P6NGjeLIkSOYzWaioqJ4/vnnGTVqlGt+fn4+r732Gr///jtVVVUEBAQwcOBAnnrqKeLj49myZQt33NFwTJjq6moWL17MbbfdBjhGEf7nP//J5s2bUalU3Hvvvbz66qtnLI/RaLzwv2+pjTGbzdL1118vTZs2zTXt/vvvl2bMmNFguYEDB0pffPHFebfXu3fv5i6itG7dumbf5pPffS3Jpk2WPlm/VpIkSRrznzmSbNpkSTZtsqR4aIqkeuQ+6Z8/LJEqamqafd9tUUucY+EUcX5bXlPP8ZEjR1q2IM0gKipKWr16dYNpx48fl7y9vaXnnntOKikpkSorK6W5c+dKOp1O2rJliyRJkpSeni4BUnx8vHTw4EHXunPnzpXi4+OlqKgo17SlS5dKy5cvlx5++GFpypQpDfa1cuVK6fvvv5cqKiqk6upq6b777pOuv/7685Z7ypQp0vPPPy9JkiTV1NRIU6ZMkQYOHChJkiRt2rRJ8vT0lKxWqyRJkpSXlydFRUVJQUFBDaYBUk5Ozjn3s3//fslisUiSJEnbtm2T9Hq9lJubK0mSJBUXF0vR0dHS3XffLR0/flyy2+1SWVmZ9Pnnn0sffPDBGbe3bt06Sa/XSwaDQZIkSTKZTFK7du2kd999VzIYDFJtba20f//+s5bnbL9T56oPL0kDwmuvvRaZTHbG1+DBg13L2e127r33XlQqFR9++KFrul6vp7KyssE2Kysrr5g+ppIk8dH6NUxI7MdD1wxj/bGj/Lh/j2v+TV26ceTl13nzjgl4arWtWFJBEASHWbNmMWDAAF577TV8fX3x8PDg8ccf595772XGjBkNlr333ntZtGiR6/uXX37J5MmTGywzduxYbr/9dvz8Gj/yvOmmmxg/fjyenp64u7vz2GOPsX379gsqr1ar5c4772Tfvn0A9OnTB4vF4vq+YcMGhg0bRocOHRpMi42NJTT03AnZunXrhptzzBeZTIbFYuHkyZMAvP/++3h6erJ48WJiY2ORyWR4e3tz33338fe///2M21u0aBHjxo1Dp9MBsHDhQkJDQ3nqqafQ6XRoNBq6det2Qcd/PpfkMUFTbldIksTUqVMpKChg5cqVDbraJCQkNPhFqq6uJi0tzfUY4XInk8kI9vRCqVBwLD+POz6dB0Cwpxc1ZjPfT3sMrUrVyqUUBKGl/eO7r9mfndWi++geHsmcCff85e2sXr2a119/vdH0O++8k+HDh1NTr8HzpEmTGDJkCG+88QYpKSlUVVXRr18/Pvvss4va94YNGy64vVh1dTXffvstcXFxAKhUKvr168eGDRvo3bs3GzZsYMiQIYSGhjaYds011zRp+7fccgt//vknJpOJkSNHkpiYCMCff/7JmDFjmpxHoqamhh9++IEVK1a4pm3bto3o6Ghuuukmdu7cSZcuXZg3bx5du3a9oHNwLm2iayHAI488wtGjR1mxYgXa065+x4wZw6FDh1i6dClGo5FXXnmFbt26XVGNB2MDAjmSl8t1771BrdnRR7S8toaxPXuLQEAQhDanuLi4QbuCOiEhIdjtdsrKTuU/CQ8Pp0OHDvz5558sWrSo0V2BC3HgwAFeeeUVZs+e3aTl33nnHby9vfHw8GDTpk0sXrzYNW/o0KFs2LABgI0bNzJkyBCGDBnSYNrQoUObtJ9ffvmFqqoqVq5cyciRI12Vf3FxMcHBwa7lfv75Z1d5brjhhkbbWbp0Kf7+/g32m52dzZIlS3j88cfJzc1l1KhR3HbbbZjN5iaVrSnaRAPCzMxMPv30U9RqdYOT9umnn3LPPfcQEBDA0qVLeeyxx5g0aRL9+vVjyZIlrVji5hfu48OO9BPYJDtRvn4cK8jHaLEwqf+g1i6aIAiXSHNcsV8q/v7+5OXlNZqel5eHXC7Hx8eHwsJC1/TJkyezcOFCtmzZwoYNG0hNTb3gfR4/fpybbrqJuXPnMnBg04Zbf+aZZ5g9ezZZWVnceOONHDt2zHWL/ZprruE///kPZWVlFBUV0b59e4KCgpgyZQplZWUcOnSoyXcGwDE2QF35YmNjufXWW/Hz82twnm699VbKy8tZsGABX331VaNt1AVL9buHa7VaBg8ezE033dTgmI4ePdqgcf1f0SbuDERFRSFJEkajEYPB4Hrdc8+pP4zhw4eTnJxMbW0tSUlJREdHt16BW4DVZqfabGLKgMGkFOQD0M4/gGEdOrVyyQRBEBobPnw4//vf/xpN//777xkwYADupyU7u+OOO/j1119p164dUVFRF7y/zMxMhg8fzosvvsi99957wetHRkYyd+5cnnjiCWprawEYMGAAFRUVzJ8/n0GDHBdenp6ehIaGMn/+fEJDQ4mJibngfVmtVtLSHH28rr/+en788Ufszpww53Ly5EmSkpIa3Tnp1q1bi+eOaRPBgADJ+bkAZJYUIzmn9W8XK5IHCYLQJs2cOZMtW7bw/PPPU1paSlVVFfPmzePLL7/kzTffbLS8Tqdj7dq1LFiw4Izbs1qtGI1GbDYbNpsNo9GI1WoFICcnh+uuu47p06fz8MMPX3SZR4wY4arowXHFnZiYyHvvvceQIUNcyw0ePJj33nuvSXcFkpOTWbVqFbW1tVgsFr766is2bNjgus3/1FNPUVZWxr333ktaWhqSJFFVVeVqpFjf4sWLGThwILGxsQ2mT5o0iW3btvHnn39is9mYM2cO/v7+dOrUfBeLIhhoI54ecRNymYzfDh8EHI0Kv92xjc3HU1q5ZIIgCI21b9+eTZs2sX//fqKjowkJCWHp0qX8/vvvrqvs0yUmJjaq6OrMnj0brVbLG2+8wVdffYVWq3W1C1iwYAEnTpzg5ZdfRq/Xo9frz9heoSmeffZZ3nrrLUwmE+BoN1BYWNigZ9uQIUMoLCxsUjAgSRKzZs0iMDCQgIAA5s6dy3fffUevXr0Ax+OUbdu2odFoGDx4MB4eHvTo0YOqqio+/vjjBtv68ssvmTJlSqN9dOjQga+++oqHH34YHx8ffvrpJ37++WdUzdieTCZJknT+xS5fiYmJ7Nq1q1m3mZSUxLXXXtus2wT488ghbp73LgBW5y0lN7mCTf98nr4xZ/4DulK11DkWHMT5bXlNPcdHjx5t1iu8q4UYwvjszvY7da76UNwZaEOGd+7CgslTsdrtyAA5Mqx2G/3feAX/px5l8uefsGBTEikF+VzhMZwgCIJwCbWJ3gTCKZMHDEanVjPli/kYLRbqGhCUVlezZOd2vtq+FXDkILimfQeGtO/ANfEdSAgJE+OhC4Jw1UlISDjjKLZ1vdGaw8aNG10t+U9nMBiaZR+tTQQDbdAdvfrQJTSc2z+awzFnz4K6ZoQyZAxpH0+IpxebTxzn+907APBx1zGkfbwjOGjfgZ4RUbg584gLgiBcqQ4fPtzi+xgyZMgVU+mfjQgG2qgOwSHsfO5lJnz2H/44fBCbJGG12+kUEsrG4yl0CArm5+n/wFvrzobUY2xIPcbG1GP8vH8vAHq1hoGxca7goE90DBqlSF4kCIIgNCaCgTZMr9Gw+P6H6Pry8xgtZspqajial8s/R45i8bbN9H/jFd4cO4HHhg1n8gBHS9i8inI21gsOXvzJMfqW2k1Jv5h2DGnfgaHxHekb3U6McyAIgiAAIhho83x1ej6f8gA3ffAOOpWKarOZt3//lf7tYokPDOLJ77/mrd9/ZWzPRO5M7Mug2PbcmdiPOxMdQ4iWGAxsTktxBQdv/PYLr638GXCkQO4REUmPiCh6RETSMyKKEC9vkdtAEAThKiOCgcvAyISuLH347zz5/TdUl5agkMvZesKR3SrEy5soXz/+u3k9/0n6k1Bvb8b27MOdiX0Z2C4OP72eW7v34tbujj6vVcZatp44zq6MDPZnZ7L3ZBZL95zqahLg4UHPiCi6h0fSM9IRJLQPDEYhGicKgiBcsUQwcJkY0zORm7p0Y97aP3lt5c8YTEY8NVryKsrJqyjHR+vOLV17YLJa+GxjEh+uW02otzd39OrDnb37MqBdHHK5HA+Nlhs6d+WGzqdGu6qsreVAzkn2ZmWyLzuLfVmZzFnzOxabDQB3lYpuYRH0ioqmb3Q7+sa0Iz4wWPReEARBuEKIYOAyolGqeHbkzfxt4GBe/uVHPtuYhEIuJ0DvQUFlBT/s2YmbXMGtPXrSPTySPZkZzN+QxLy1qwnz9nEEBol96R8T26Ai99RqGRwXz+C4eNc0s9XK0bxc9mVnsTcrk/3ZWSzetpmPktYA4KV1p090jCs46BcTS5Cn16U+JYIgCEIzEJd2l6EAD08+vGsyJ157hyeuvwGDyYQEhHh6YbPbWLZnFzN/XsaxgjxmjR7DJ/f8jcSoGD7ZsJbBb80m+rmnefL7r9madvysyYtUbm50j4hkyoDBzJlwD+ue/j9K3/+YQzP/zX8nT2Vin36U/H97dx5XRbk/cPxz2PdFWeSwqCAC4i5GbCIKiWaamppXxe1mmmY3b5b3qrl2teWa3Kx+ESVuuaRZuWWgKbivqIAogiAoiAjCAQQPh/P7A506grIIrs/79Tqv5JlnZp4zDcx3nnnm+RYX8/Gu7bz6VTh2M6bR6l/TGR6xnM9+30FcynnKlcpHe2AEQWg0d6f9NTExQUtLC0NDQ+nntWvXApCUlMSAAQMwNzfH1NSUoKAgDh48KG0jPT0dmUwmTc17V15eHnp6ehoJ55YvX46Xlxf6+vqMHTtWo/7hw4cJCQmhWbNmWFtbM3ToUHJycmr9DmPHjkVPTw8TExOaNWtGSEgIycnJACxevJh+/fpp1Hd1da2xrLYsuUFBQVhbW2NmZkanTp345ZdfNJZnZ2fzxhtvIJfLMTExwdnZmbFjx0ptiYuL0zjeJiYmyGQyNm+uGgC+cuVKunXrhpmZGQ4ODrz//vtS3obGIoKBp5i9ZTM+e20EGYuXsnDgECrUlaiBZkbGAJzPyeZfWzby7sa1uNvZkTx/CavHv0lXp5Z8vW8Pfp8spPt/5rLh2BEq7jwSeBBtLS3aye0Z59eDr0eO5cTsBRSG/x9xM2bx2Wsj8HFuw7H0S7y/eQOBn/0Hu/enMWHVd0QnJdRp+4IgPDn+mkHWycmJrVu3amSUTU1Nxc/Pjw4dOnDp0iWuXr3KoEGDeOmllzh06JDGtkpKSkhISJB+/uGHH6plA5TL5cyePZvx48dXa0tBQQETJ04kPT2djIwMTE1NmTx5cp2+x/vvv09xcTFXrlzB3t6eCRMmAFXpiw8cOIDqzt+mnJwclEolJ0+e1Ci7ePFirTkKwsPDyc7OpqioiIiICEaNGiWlLb5x4wa+vr6UlpYSFxeHQqHg5MmTBAYGEh0dDfw5j8Hdz7Zt2zAxMSE0NBSA0tJSli1bRl5eHkeOHGH37t189tlndfr+dSUeEzwDLI2NmdVvANODQ1l1+ADhu3eRX1qCga4u5RUV3FIq+fi37YTv/p13e/fh+zF/R1tLi43Hj7I0+jdGRH6Fs5U100P6MtbXHyM9/Trv20hPH782bfH7yyOG3KIiDqVdZMup42w6cZQVB2KxMTXjtW7dGdH9RWn8giAIT6958+bh4+PDRx99JJVNmzaNc+fO8cEHHxAbGyuVjx49mpUrV/Lpp58CVQl5wsLC+Pbbb6U6gwcPBuD48eNkZWVp7Ove2f+mTp0qZQWsK0NDQ4YNG8bQoUMB6N69O0qlkvj4eLp160ZsbCxBQUGkpaVplLm4uCCXyx+47Y4dO0r/lslkKJVKMjMzsbOz4/PPP8fMzIzVq1dLf/csLCwYN27cfbe3cuVKXnvtNYyNq27s/hr42NvbM3LkSP744496ff/aiGDgGWKop8ebPYJ4wz+Q6HOJhO/exW+JZ9HW0kJbpkWZUsni37axbPcu3g/tz4yX+jLBrwe/njnFJ79tZ+q6VczbuoW3e4XwVmBvmpuYNKgdNmZmDOzclYGdu/L17dvsTDjD+mOH+f5ALF/t3Y2jZTN6e3jS2dGJTg5OdHJwxOJOb4YgPM/+sWEtp7MuN+k+Ojk4sWz4w0/TGx0dzeLFi6uVDxs2jODgYEpLS6WyUaNGERAQwJIlS7hw4QIKhQJvb2+NYKA+YmNjcXd3r9c6JSUlrFu3jjZt2gCgp6eHt7c3sbGx0oU/ICAAuVyuUVaXzIUA/fv3JyYmhvLycvr06YOXlxcAMTExDBo0qM43QKWlpWzatImtW7fet05sbCyenp512l5diWDgGaSlpUUfzw708ezAueyr/G/P76w/dpjbtyrQksm4pVQyf+sW/hezi8+Hj2SUty8DO3Vl/8ULfLJrO3N//YmPf9vG3/178m5wH1o2t2pwWwz19Bjc1YvBXb1QlN3il/iT/HjiKDvOnibqYJxUr1Vzqz+DA0cnyooVqNVqMeeBIDyh8vLyakwjbGdnR2VlJQUFBVKZg4MDbm5uxMTE8McffxAWFtbg/Z45c4YFCxawbt26OtX/7LPPWL58OUVFRbRs2VLjeX5gYCCxsbG8++67xMXF8c477yCXy/nmm2+ksunTp9dpP9u2bUOpVBITE0NycrJ08c/Ly6NFixZSvV9//ZWwsDBUKhU+Pj78/vvvGtvZvHkzVlZW9+35WLFiBcePHycyMrJO7aorEQw84zzs5Hw9cizLho3kt8SzrD92mC3xJ7hdUUHBrVLGRn3LzJ82Mj2kD6O9/dk6dToJV7L4b/ROvtq7my/3xjCi+4uM9PalvdweuYVlgy/QpgaGjHrRj1EvVuU6zym8SXzmZeKzLnM68zLxmZf55fQpaVDj5JgdGr0HrrYtcLaypoWZuXjMIDyTGuOO/VGxsrKSnov/VXZ2NlpaWlhaWpKbmyuVh4WFERUVxcGDB4mNjSUlJaXe+7x48SJ9+/YlPDwcX1/fOq3z3nvvsWjRIi5fvkxoaCjnz5+XuvV79OjBl19+SUFBAdevX8fV1RVbW1vGjBlDQUEBCQkJde4ZANDV1ZXa5+LiwoABA2jevLnGcRowYAA3b94kMjKSNWvWVNvGypUrCQsLq/Hv7M8//8zMmTOJiYnByqrhN2k1EcHAc0JfV1fqui8pL+fn+BP89/edxGddJqeokPc3b+T9zRuRyWSY6hvgYm3NeN8AispvseXUCdYcqRohbGFkRDs7Oe3s7GlnZ4+nvOrTkJkLW5hbEGpuQWj7P5+3lZSXk3A1i427oyk1NOB05mUi9++l9PbtP7+Lji6traxwtrKh1Z3/Oltb42xlTWsra0wNxDTLgtDUgoOD+fHHH6s9+964cSM+Pj4YGRlplA8ZMoSpU6fSrVs3WrZsWe9gICMjg+DgYObMmcPo0aNRKBT1Wt/JyYnw8HDGjBlD//79MTQ0xMfHh8LCQiIiIvDzq7pJMTMzQy6XExERgVwurzbQsS4qKipITa2aGK537978/PPPzJ07t9abmMzMTPbu3cs333xTbdlvv/3GG2+8wfbt2+nQoUMNaz+cJy4YSElJoUOHDrz22msaUdPu3buZMmUKly9fxtvbm6ioKFq2bPkYW/r0MtbXZ6S3LyO9fckrLmL14YNsPX2KxKtXyC8toajsFqcyL3Mq889nl7ra2pgaGGBpZMx1hYIfrx6l8NYtaflfgwRPuQPt7OQNChKM9fXxbu3CrTaZ9OzZEwBVZSVp13NJy7tOWl4uadevk37jOmnXr7P/4gWKym5pbMPKxFQKDFpbWd8JFGxobWWNo2Uzkc1REBrB3Llz6d69O7NmzeKf//wnurq6REVFsWrVqmpd3wDGxsbs2bMHS0vLGrdXUVFBRUUFKpUKlUpFWVkZOjo66OjocOXKFXr16sWUKVOYNGlSg9scEhIiXejfeecdDA0N8fLyYunSpcyaNUuq5+/vz9KlSwkODq51m8nJyVy6dImePXuio6PDhg0biI2N5ZNPPgFg+vTprFmzhtGjR7NgwQKcnZ0pLi4mPj6+2rZWr16Nr68vLi4uGuV79uxh5MiRbNmyhRdeeKHB3/9BnrhgYMqUKXTv3l2jLC8vj8GDBxMZGckrr7zCnDlzGD58OIcPH35MrXx2WJmY8W5wKO8Gh0plRbdusSuxatDf8Yx0cooKUapU5JeUkF9SorG+ka4ezYyNMdY3IKewkLNZWSjK90nLTfQNcLG2oY2NDc5WNrhY29z52RYHy2Z1muZYW0sLV9sWuNq2qLZMrVZTUFrCpbzrVcHC9aqAIT3vOsczLrH55HEqKv98rVFXWxtXG1s87OS4t5DTzk6Oh50cN1s7DPVEVkdBqCtXV1f279/PzJkzadWqFZWVlXh5ebFr1y7pLvtedwfV1WTRokXMnz9f+nnNmjXMnTuXefPmERkZSVpaGvPnz9eo05C0wjNmzGD69OlMmjQJfX19AgMDOXToEP7+/lKdgIAAli9fXqdHBGq1mnnz5pGUlIS2tjaurq5s2LBBmlvBysqKw4cPM2fOHPz9/VEoFNja2uLv78/XX3+tsa1Vq1YxY8aMavtYuHAhhYWFGnMgBAQEsHPnznp///uRqe8368xjsH79en766SfatWvHxYsXpZ6BiIgI6VkTVI0KtbKy4tSpU7WOKPXy8uL48eMPrFNfe/fule5anxcFJSXEpiTzc/xJ4lLOk5mfj7Ly/nMHaMlkWBgaYWJggAy4pVRyo6QYVWWlVEdPR4dWza3uBAi2UqDgYm1DZlISL/WuPSqvTYVKRVZBPpdu5JF2PZeU3Gsk51zlXPZVUq/nUnnn9JfJZLRqbkW7O0GCh50cjxZyPOzsnsk3HZ7Hc/hRq+sxPnfuHB4eHk3foGeMQqHA1NT0cTfjiXS/c+pB18MnpmegqKiIDz/8kN27d/Pdd99pLEtMTKRTp07Sz8bGxri4uJCYmFjv10uEhrE0NmZg524M7NwNqIqGL+ffYHdyIjvOnuFYehpZBfncjSwr1WryS0soLi9DS6ZFWcWfsxFqa2nR3NgEMwMDdLW1uXAth9gL5ym5XS7VkQEO0dtxtWlB15at8L4z5bGDZbN6tVtHW5tWVta0srImyE3zl6NcqSQl9xpJ2Vc4l32V5JxszuVcJeZcEuV/aa+duQXdW7Vm3d/fEr0HgiA8k56YYGDOnDlMmDABR0fHasuKi4uxtrbWKDM3N7/vAJKIiAgiIiIAyMrKYu/evY3a1uLi4kbf5tPKGZjq3gHcO3C5qJCPD8dx7sZ1ZICpnj5Ft8v5m0c7Brt5cqW4iCxFEVcVVf9Nu1nAxetVo421ZDKczMxxNDXHQt+ASpWK26jJup5LbEoyFXd6FJobGuHR3AqP5tZ4NLfGrZkVhrq6D/UdbAAbU0sCTS3BtR2qykpySorJKLrJpuRE4nNzOJmWyr7YWAx0nphfmYcizuGmV9dj/KC/ZcL9qVQqFAoFL7zwApmZmdWWL1u2jOHDhzfKvg4ePMiQIUNqXFbTGxWPW1lZWb1/vx/JX7aePXuyb9++Gpf5+fmxfPlyYmJiOHXqVI11TExMKCoq0igrKiq6bxfRxIkTmThxIlDVLdLY3aGii/VPxWVl7EtJZsOxI6w7dhgtmYwBnbpgrK/PuqOHGe/Xg4hR4+47iragpISj6WkcTrvIkUupHL6Uys07k5VYGBnh3cqFYT5+dHZ04nJ+PkcvpXLkUir7T58AqoIIT7k93q1dGNSlG6GeHR9qboKbpSWkXs/lxvVc8stLOH39Gj7Obfhlyj+wMnl2uiTFOdz06vOYQHR319/dxwTnzp1r8n316dOnQeMTHhcDAwO6dOlSr3UeSTBQW4SybNky0tPTcXJyAqoiapVKRVJSEidPnsTT05OVK1dK9UtKSkhNTW30GZiE2lVWVnLycga/JyUQcy6BA6kpKFUq9LS1sTe3ILdYwa+nq4K6SYG9WP766Ae+TmNpbCxNkHR3+xdyc4jasZ2b+rocSUtl0Y5fAejr2ZE3ewSxavybFJSWcPRSGkcupXL0UhqbTh4jcv8+POX2/DOkLyO6v4h+DT0GlZWVZBfeJPV6rvRJy/vz3/cOkBzu5c33Y/4uHg8IgvBMeyL6PCdOnMjrr78u/fzZZ5+Rnp4ujbQcNGgQM2bMYPPmzbz88sssWLCAjh07ivECj0h24U12JpwhOimBmHOJ3CipipCN9fSlAYG3VSosjU0Y0LkbPVzdCHBt26CUxlpaWri3kBPq7CrdVWXm3yBy/z4i9+9j4FfLcLRsxt8DejI9OJR+HarGktyuqGDD8SP89/edjF8ZyfubN9CvfUc6O7Yk/UYel/LuXvivU6bUHL/g1Kw5LtY2vNbtBVz+8saDs7WYs0AQhOfDExEMGBkZaUxQYWJigoGBgTROwNrams2bNzN16lRGjRqFt7d3rSklhYZTq9WczrrM1jPxbDtzimPplwDQ19GRnt1ryWS0t3cgwNWNHq5u+Lm4YmncNKPuHZs1Z/6Awczq9wrrjh5haczOqhTNOdm0bG7FlYJ8MgvyySrIJzM/H4C8YgWrDh9g1eEDGOnp4WJtQ1vbFoS276jx1oJTs+boaj8RvwaCIAiPzRP5V3DevHnVyoKDg6Xcz0LjK1cq+eP8ObaeiWfrmVNkFVRdVA10/uxqt7ewpG/7ToS270CgqzsmBgaN2oYy5W1Scq+RceMGu1OSib6Zp3Ghzyoo4Jbyz5kIfzh6CG0tLewtLHGwtKSLY0tC2rXnj+RznMu5SpiPH/8Z+Bp2DzGFsiAIwvPgiQwGhEfjuqKI7WdPs+1MPL8nnaW4vFxjEiB9HR2C3D0I9exI3/YdaWNj2yj7LVPeJjknm6TsqyRevcK57CskZV/lYu416b1/QLrQO1o2o4tjSzo5OHE66zIpudcY/aIfiwcNxdbMnOLyMraePsXmk8f5bn8sSlUFX48cy5s9ghqlvYIgCM86EQw8R9RqNUnZV6Tu/0NpqajVagx0dLmtqgCgubEJAzt35dXOXenZ1uOhBs7dun2bczlXSbpadbFPunPRT/vLZD86Wtq42trSwd6BYV7etLOT42xlzeVz5xkUGoparWbb2XgW79zKsfRLtDAz5+PBwwl70Y9dSWfZfPIYu5ISuF1Rgb2FJW/2CCLMx4+uTq0a45AJgiA8F0Qw8AxTq9VcyrvOnvNJ7D2fzO5ziVxTVL2iaaCjK2UHbGFuzqAuXgzq0g0f5zZ1miL4r1SVlVzMvUbC1SzOXski4UoWZ69kaszwp6utTVvbFnRxdOJvL/jgKbennZ0cV5sW6P3l3X1VZSXxmRnszkhl5VfLiE05j6KsDEfLZoz18UdLW4vVhw8wc8tG1Go1jpbNeCuwN0O7vYB3a2eRzVAQGomJiYn079LSUvT19dG+k9fjm2++YeTIkSQlJTFz5kz27dsnTUf80UcfSRkF09PTad26NV26dOHkyZPS9vLy8pDL5cjlctLT0wFYvnw5UVFRnD17lhEjRhAVFSXVvzud74kTJ9DW1qZnz5785z//qfWVzLFjx/LDDz+gp6eHnp4e3bp144svvsDd3Z3FixcTFxfHjh07pPqurq64urpWK1u4cKHGIPd7BQUFkZCQQHl5Oa1bt2bBggUMHDhQWp6dnc2HH37I9u3bKSoqwsbGhh49ejBz5kzc3d2Ji4ujb9++GtssKSlh06ZN1eY36NWrF3/88QdKpRKdRpz3RAQDz5isgnz+OH+OP5KTiD6XyJWbVTnFtbW0pJH/xvr6d0b8uxHq2YFODk51eqauVqu5erOAhKtXOHslk4QrWSRczSIp+6o0Ql9LJqONjS0dHRwZ8YIP7eUOeMrtaWNjU+NAvco7F/8/zp9j34VkYlPOS/MM2JiaYW1iio6WFpkF+UQd2o+ZgSE+zm0Y5vUCIe3a80IrZzEeQBCawF/fq2/VqhWRkZEaiXtSU1Px8/PjrbfeIioqCl1dXVasWMFLL71EdHQ0Pj4+Ut2SkhISEhJo3749AD/88AOtW7emvPzPWUflcjmzZ89m165d3LqlmXysoKCAiRMn0qdPH3R0dJg6dSqTJ08mJiam1u/x/vvvs2jRIm7dusXkyZOZMGECBw4coEePHixZsgSVSoW2tjY5OTkolUpOnjypUXbx4sVacxSEh4fTrl07dHR0OHLkCMHBwVy4cAE7Oztu3LiBr68vvr6+xMXF4ezsTGFhIVu2bCE6Ohp3d3cCAgI0jvfevXt55ZVXCA0N1djP2rVrqaioqPU7N4QIBp5y14oK2Xs+mT3nk4hOSiD9Rh5QdVG+e1duZmBIYFs3erR1J9DVnc6OTg/M3Fd4q5QL13KkT0puDudzcriQm0PJX3557cwt6GDvwFs9e9Ne7kAHewfa2dk/8NHCrdu3OZaexv6LKRxIvcDB1BQp+6GZgSF62tpS4JKrKMJQz4q+7Tvh6+KKfxtXPOUO9e65EASh8c2bNw8fHx8++ugjqWzatGmcO3eODz74gNjYWKl89OjRrFy5kk8//RSoSsgTFhbGt99+K9UZPHgwAMePHycrK0tjX/feNU+dOpXAwMB6tdfQ0JBhw4YxdOhQALp3745SqSQ+Pp5u3boRGxtLUFAQaWlpGmUuLi7I5fIHbrtjxz/TsMtkMpRKJZmZmdjZ2fH5559jZmbG6tWrpZ5LCwuLaqmf/2rlypW89tprGP/lDa3CwkLmz5/PqlWrNAKtxiKCgafMzdKSqjv/8+f4LfEsF3OvAVVz+d8demdhaESQmweBblUX/w72DtW6z1WVlX9e5K9VXegv5GRzIfca14oKpXpadxL4tLVtgb9rW9ratKC9vQPt5Q40/0s34v0UlJQQd/E8+y+mEHshmZOX06XXE/V1dCj/S5Sro61FZ6eWdHZsiWFxCW8MeLXeuQgE4Wn2jw1rOZ11ufaKD6GTgxPLho986O1ER0ezePHiauXDhg0jODiY0js9fACjRo0iICCAJUuWcOHCBRQKBd7e3hrBQH3ExsbWe56ZkpIS1q1bR5s2bQDQ09PD29ub2NhY6cIfEBCAXC7XKKtL5kKA/v37ExMTQ3l5OX369JEyNMbExDBo0KA6P8IsLS1l06ZNbN26VaP83//+N5MnT6ZFi+rZWxuDCAaeAiXl5fx6+iTrjx3mt8SzKFUqZDKZ9My/ubEJvT3aEXjnzt/DTl6t6/xKQT5H09M4cimNo5dSOZ6RTnF5mbTcxtSMtrYt6NehE262LWhr24K2Ni1wsbapcSa/B0nPu84vp0/xc/wJ9qecR6VWV7VHrZYClhZmZni1dKazU0u6OrWki2NLnJo1l9q9d+9eEQgIwhMsLy8POzu7auV2dnZUVlZSUFAglTk4OODm5kZMTAx//PEHYWFhDd7vmTNnWLBgAevWratT/c8++4zly5dTVFREy5Yt+eWXX6RlgYGBxMbG8u677xIXF8c777yDXC7nm2++kcqmT59ep/1s27YNpVJJTEwMycnJ0sU/Ly9P4wL+66+/EhYWhkqlwsfHh99//11jO5s3b8bKykqj5+P48eMcOHCA8PDwar0mjUUEA0+oW7dvE3MukfXHDvNz/EluKW+jq62NUlWVNtjXuQ2vd3+Rl9q1p42NrcbF/2ZpCfGZl6UL/9H0NGnsgK62Np0cnAjz8aN7K2c8WtjR1rbFQ6XprVCpiM+8zLYzp/jx5DHOZV8F7oxTuBOwdLR3pI9nBwLbutHVqVWDZicUhGddY9yxPypWVlY1JunJzs5GS0sLS0tLcnNzpfKwsDApFX1sbCwpKSn13ufFixfp27cv4eHh0iDF2rz33nssWrSIy5cvExoayvnz56Vu/R49evDll19SUFDA9evXcXV1xdbWljFjxlBQUEBCQkKdewYAdHV1pfa5uLgwYMAAmjdvrnGcBgwYwM2bN4mMjGTNmjXVtrFy5UrCwsKkv+mVlZW89dZbhIeHN+qAwXuJYOAJcfe1v12JCfyWeIbYC+e5rapAWybTuKC+/sKLDOv2Ao7NmlNZWUla3nV+OnWc01mZnMm6THzmZS7n35C262JtQ2Bbd7q3csa7tTOdHZ0w0H24efazCvI5nJZKbEoye88nc/5athSk3NXcxIR+7TsS4tGekHbtxcVfEJ4xwcHB/Pjjj9WefW/cuBEfHx+NWWUBhgwZwtSpU+nWrRstW7asdzCQkZFBcHAwc+bMYfTo0fXO9Ojk5ER4eDhjxoyhf//+GBoa4uPjQ2FhIREREfj5+QFgZmaGXC4nIiICuVxO69at67UfgIqKClJTUwHo3bs3P//8M3Pnzq31UUFmZiZ79+7lm2++kcqKioo4fvy4lIFRdedvrYODAz/++CMBAQH1bl9NRDDwGJUrlWw/e5odCafZlXhWunu/+whAW0uLwLZu9GvfmX7tO1JWoeTIpTQW/7aNM1mXOZOVJXX1a8lkuLWww9elDZMCe9HJwZHurZwfOtNeSXk5xzMucTA1heikBE5lZkgD/v5Kbm6BXxtXAtt64OfiWuM4BUEQnh1z586le/fuzJo1i3/+85/o6uoSFRXFqlWrqnV9AxgbG7Nnzx4sLS1r3F5FRQUVFRWoVCpUKhVlZWXo6Oigo6PDlStX6NWrF1OmTGHSpEkNbnNISIh0oX/nnXcwNDTEy8uLpUuXMmvWLKmev78/S5cu1Xh74n6Sk5O5dOkSPXv2REdHhw0bNhAbG8snn3wCwPTp01mzZg2jR49mwYIFODs7U1xcTHx8fLVtrV69Gl9fX1xcXKQyc3Nzrl69Kv2cmZnJCy+8wIkTJ6Qp+xuDCAYeg5RrOXy7fx9RB+PIK1agr6ODqrLq7l9ubsErnboQ5OaBsZ4+Jy6n83vSWeZv24KirOrCb2ZgSCcHR8b4+NPJ0ZHODi3xlD94FH9dVFZWkpyTzeFLqUQnJXAo7SKZ+TdQ31PP1MCAzo5O9HJrh1+btni1bPVQjxkEQXj6uLq6sn//fmbOnEmrVq2keQZ27dol3WXf6+6guposWrSI+fPnSz+vWbOGuXPnMm/ePCIjI0lLS2P+/PkadRqSVnjGjBlMnz6dSZMmoa+vT2BgIIcOHcLf31+qExAQwPLly+v0iECtVjNv3jySkpLQ1tbG1dWVDRs20LVrV6DqccrdeRL8/f1RKBTY2tri7+8vJeO7a9WqVcyYMUOjTCaTaYw5KLtzHbC1tW3UxwYytVp979/6Z4qXlxfHjx9v1G02JBe8Wq1mZ8IZlkb/xp7zSWhradGquRWZ+fncVlUwsFNXerq5k56Xx4HUFE5lZqCqrEQmk9Febo9fm7b4ubji49yG1lbWjfJuvVJVweG0VHYlnuX3pATOXsnUGN0PoKOlhZttCwLauhPk5oF3axccLZs1+bv9DTnGQt2J49v06nqMz507h4eHR9M36BmjUChqnXToeXW/c+pB10PRM/AIxGdmMGPTenYnJ+HUrDmjvH2JPpfApbzreLd2wVBXj+hzCfxy+iQGurq82NqFD/q8jH+btrzo7NKod93pedf5LfEMP544xqHUi5RVKDWW21tY4t3ahWAPT3yc2+Apt3/gnASCIAjC008EA01IVVnJ9B9/YPkfMVgaGbFs2EgSs7P4Nm4fhrq6VKrVHEq7iFOz5ozxCaB/x04PnQ+gJjeKi/kmdg/fxP5B5p1shHfJzS0Ibd+Rfu070dPNnWbGtc8dIAiC8KTw9PQkIyOjWvndKZMbQ03TBd/VkEcVTyIRDDQRVWUlf1/1HSsP7eetnr2Z1/9Vpv+4jjVHDgLgbGXD37x96N+xM+3lDk3S7Z6cc5X/7NjKhuNHpNH++jo6vNSuPYO6eBHs4Sne5RcE4amWmJjY5Pu4d7rgZ5EIBprIF3uiWXloP/NeGcSclwfy0rJP2J2chJmBAd+P+Tuvdu7WpKPtfzp5nKHffCEN/uvq2JK3e7/Ea127Y6yv32T7FQRBEJ4+IhhoIvGZGThaNuPD/q+y9shBdicnoSWT8VbPYAZ37d6k+75ZWsLktVHS4MMf33ybtrZNM4WlIAiC8PQTL4I3gZulJexOTsLVxpaPf9vOuKhIujq1xEhPT0oh3FR+TzqL86z3uF6soLmJKTunvScCAUEQBOGBRDDQBD74aSPZhTcpvX2bf23ZyMDOXRjm9QLF5eWM922c2aLupVareXvdKkLDP+NmaSk927pzes5C5BY1T/AhCIIgCHeJYKCRlZSXs/rQAVo1t+LwpVS++tsYNk6cSq5Cgb6OLr4urk2y34Xbf+HLvbvR0dLmhwmT2PPPf9HC3KJJ9iUIgiA8W56oYGD9+vV4eHhgbGyMi4sLcXFx0rLdu3fj7u6OkZERQUFBNb5K8iQ4kHqBsgolaXnXWTxoGJMCeyGTyWjd3JryCiVnr2Q2+j6Ly8qYt3ULMuC3d97j9RcaP9e1IAiC8Ox6YoKB6OhoPvjgA1asWIFCoSA2NhZnZ2egKgXk4MGDWbhwIfn5+Xh5eUlJG540pbdvA2BpZMyMl/58L3V4d2/MDY3415YfG32fRnp6GOvrI5PJ8G7l3OjbFwTh+WNiYiJ9tLS0MDQ0lH5eu3YtAElJSQwYMABzc3NMTU0JCgri4MGD0jbS09ORyWTS1Lx35eXloaenR6tWraSy5cuX4+Xlhb6+PmPHjtWof/jwYUJCQmjWrBnW1tYMHTqUnJycWr/D2LFj0dPTw8TEhGbNmhESEkJycjIAixcvpl+/fhr1XV1dayxbv379A/cTFBSEtbU1ZmZmdOrUSSNNMlRlcnzjjTeQy+WYmJjg7OzM2LFjpbYA7Nmzh65du2JmZoazszMRERHSsvXr1+Pm5oa5uTk2NjaMGTOGoqLGHX/2xAQDc+fO5cMPP+TFF19ES0sLe3t77O3tAfjpp5/w9PRk6NChGBgYMG/ePE6fPq1xIJ8URncmDHK1sdV4ddDKxJRZ/V5hZ8IZfk8626j71NLSYkgXLyrValr/+59cvVlQ+0qCIAgPUFxcLH2cnJzYunWr9PPIkSNJTU3Fz8+PDh06cOnSJa5evcqgQYN46aWXOHTokMa2SkpKSEhIkH7+4YcfqmUDlMvlzJ49m/Hjx1drS0FBARMnTiQ9PZ2MjAxMTU2ZPHlynb7H+++/T3FxMVeuXMHe3p4JEyYAVemLDxw4IGUBzMnJQalUcvLkSY2yixcv1pqjIDw8nOzsbIqKioiIiGDUqFFS2uIbN27g6+tLaWkpcXFxKBQKTp48SWBgINHR0QAolUoGDRrEm2++SWFhIRs2bGD69OmcPn0aAD8/Pw4cOEBhYSFpaWlUVFQwe/bsOn3/unoiXi1UqVQcP36cAQMG0KZNG8rKynj11Vf59NNPMTQ0JDExkU6dOkn17z5GSExMxN3dvdr2IiIipKgqKyuLvXv3Nmp7i4uL77vNnKKbANy4ebNanY7a+tgZm/BW1Hd8EzoA7UacZ2BMK1euZmcTk5FGy5nvMtyjAxM6dm3yHAJN5UHHWHh44vg2vboeY3Nz83qn433U1Go1paWlGu2cNWsW3bt3Z+bMmVLZuHHjOHPmDO+99x6//fabNFHPsGHD+Pbbb1m0aBEAUVFRDB8+nJUrV0rbDAkJAeDAgQMUFRVp7OuvSYRUKhXjxo2jX79+tR43pVJJeXm5VK9///6MGTMGhUKBu7s7SqWSAwcO0KVLF3bt2oW/vz/p6ekaZa1bt8bU1PSB+2rdujW37mRzLS0tRalUkpycjImJCUuWLMHExISvvvoKLS0tiouL0dbW5rXXXgOqcizk5uZSVFTEq6++SnFxMe7u7rRt25YTJ07g7OyMhYWFVLe4uLgqqVxy8n3bVFZWVu/f7yciGLh27RpKpZJNmzYRFxeHrq4uAwcOZNGiRXz00UcUFxdXS9X4oF+giRMnMnHiRKAqMUNjJ2R5UAKS0tvljN2+hdsyaqyzzMKU4RFfcklPi7/7N267goKCWL4nmhmb1/ND0hl+z0hj6bC/MerFmjOIPclEIp2mJY5v06tPoqK7CXf+sWEtp7MuN2m7Ojk4sWx4/abplclkGBkZaSQG2rt3L4sXL66WLGjkyJEEBwejra2NiUnV9OYTJkwgICCApUuXcuHCBUpKSujRowerVq2qtr6+vj66uroPTEJ04sQJ3N3da01UpKuri76+PqamppSUlPDLL7/Qpk0baT1vb29OnDhBjx49OHbsGL169SI1NVWjrGfPnnVKiNS/f39iYmIoLy+nT58+BAYGoqWlRVxcHEOGDMHc3Py+65qamjJixAg2bdrEpEmTOHr0KFlZWYSEhEj73r9/Py+//DJFRUUYGRmxZcuW+7bLwMCALl261Nrmv3okjwl69uyJTCar8ePv74+hoSEAb7/9NnZ2dlhZWTF9+nR27NgBVD27uvf5SFFR0ROZscpITx99HR0K70SJ93qta3e8Wrbms993UllZ2ej7n9orhPzPv2JApy7cKCkmbEUEdu+9zdojB2tfWRAEoY7y8vKws7OrVm5nZ0dlZSUFBX8+rnRwcMDNzY2YmBhWrlxJWFhYg/d75swZFixYIPUy1Oazzz7DwsICU1NT9u/fz+rVq6VlgYGBxMbGAlX5BwICAggICNAoCwwMrNN+tm3bhkKhYMeOHfTp00d6TJyXl6eRgvjXX3+V2vPSSy9J5SNGjGDBggXo6+sTEBDARx99hKOjo7Tc39+fwsJCsrKymDFjhsZ4i8bwSHoG6tJd4eBw//n5PT09WblypfRzSUkJqampeHp6NlYTG5WJvgFFZTUHAzKZjAn+gUxeG8X5azl42Mkbff+Gevr8/NY/yCy4wfioSPYkJzH6+29YtONXfp78Dm4tqv8CC4Lw+NX3jv1xsrKykp6L/1V2djZaWlpYWlqSm5srlYeFhREVFcXBgweJjY0lJSWl3vu8ePEiffv2JTw8HF9f3zqt895777Fo0SIuX75MaGgo58+fp2PHjkDVuIEvv/ySgoICrl+/jqurK7a2towZM4aCggISEhJqHS/wV7q6ulL7XFxcGDBgAM2bN9c4TgMGDODmzZtERkayZs0aAJKTkxk+fDhbtmwhJCSElJQU+vfvj1wu5+WXX9bYh729PaGhobz++uucPHmyzm2rzRMzgHDcuHF88cUX5ObmUlBQwLJly+jfvz8AgwYNIiEhgc2bN1NWVsaCBQvo2LFjjeMFngQqdeUDxwMoVRUATZ4jwNGyOdHvfsCl/yyli2NLzudk027evzhw8XyT7lcQhGdfcHAwP/5Y/e2ojRs34uPjg5GRkUb5kCFD2L59O87OzrRs2bLe+8vIyCA4OJg5c+YwevToeq/v5OREeHg477zzjvR838fHh8LCQiIiIvDzq3qcamZmhlwuJyIiArlcXm2gY11UVFSQmpoKQO/evfn5558f2BOckJCAm5ub1KPg5ubGyy+/zM6dO2vdfmN5YoKBOXPm0L17d9q2bYuHhwddunRh1qxZAFhbW7N582ZmzZqFpaUlR44cqfVVj8eluKyMm6Wl2N9n5r8KlYpvYv+gnZ0ch0c0O6BT8+acmL2A1ePeRK1WMyLy/x7JfgVBeHbNnTuXgwcPMmvWLPLz81EoFHzxxResWrWKjz/+uFp9Y2Nj9uzZQ2RkZI3bq6iooKysDJVKhUqloqysjIqKqhunK1eu0KtXL6ZMmcKkSZMa3OaQkBDpQg9gaGiIl5cXS5cuJSDgz9lh/f39Wbp0aZ16BZKTk9m5cye3bt1CqVSyZs0aYmNjpccL06dPp6CggNGjR5OamoparUahUBAfHy9to0uXLqSkpLBnzx7UajWpqals27ZNGji/du1aLl++jFqtJiMjg1mzZtG7d+8GH4eaPDHBgK6uLl999RU3b94kJyeH//3vfxgYGEjLg4ODSU5O5tatW+zdu7fRn5c0lgXbfgaqxgbU5NPfd5B49QrzBwxu0qyFNXnR2QUZUHSf8QyCIAh15erqyv79+zl9+jStWrXCzs6OzZs3s2vXLuku+15eXl64uLjUuGzRokUYGhqyZMkS1qxZg6GhoTQuIDIykrS0NObPny/NdVDTeIW6mDFjBp988gnl5eVA1biB3NxcjTcWAgICyM3NrVMwoFarmTdvHjY2NlhbWxMeHs6GDRukuRWsrKw4fPgwBgYG+Pv7Y2pqSufOnVEoFHz99dcAuLi48P333zNt2jTMzMwIDAxkyJAh0muQSUlJ+Pr6YmJigp+fH25ubnz77bcN+v73I1Or1eraqz29vLy8OH78eKNu836jhCsrK7H4xyRuKZUUhf8fhnqajwGuFOTTZvb7vNKxMxsmTnmkr/2pKitpO+d9LuVdZ9mwkUzr/VLtKz1GYrR70xLHt+nV520CDw+Ppm/QM0ahUDyRg8ifBPc7px50PXxiegaeBZ/8voPi8nKGdu1eLRAAiNy/j9uqCj4ZMvyRv///6+mTXMq7TicHR97uFfJI9y0IgiA82UQw0EjKlUo+2v4rWjIZX40cU2Od/NISdLS0aGVlXePypqJWqzlwsWrkrq62zlM7EZEgCMK9PD09NaZOvnfK5MYQFxdX4z7uzqPwLHgiJh16Frz61TJKbpczMaAnFkbG1ZZn5t9gxYE4+rTr8MjapFar+Sb2Dz78dTN5xcXoaGkxrolSKAuCIDwOiYmJTb6PgIAAaTbFZ5UIBhrBzrNn2JWUgJ25BV/9rXqvgKqykik/rEJVWcn/Xh/VpG2prKzkt8SzrDgYR3TSWYrKypAB/dp3Yu2ESZjf87qPIAiCIIhg4CGpVCr+9t1XAGx/e3q1NwQqKyt5Y/X3bDsbz7LhI5vkEcHZrMt8ve8Pos8lkJ53HdWdMaG62toM6tKNr/82Bhuz+0+FKQiCIDzfRDDwkMav+o7CW7cY7e1LZ0fNiTTUajWT1kYRdTCOOS8PZFqvxhnBf62okIjYvfxy+iRJV69QVqEEQAbYW1gS6ObO3/170sPVTYwPEARBEGolgoGHkJp7jTWHD2BuaMj3Y/5ebfknu3YQuX8fM0P7M++VQQ3aR7lSyd4LyfxxPomjl9I4lZmhkffA0siIwLbu/M37RV73ehFdHfG/VBAEQagfceV4CIO+DkcNRIwaj7a2tlR+u6KCN9esYOWh/Qzp6sVHr75Wpzv0yzfy2HD8KHuSk0jOuco1RRFlSqVGHUNdXbxatWZQ5268ERCIlYlZY38tQRAE4TkjgoEGOph6gYSrV3BvYcdQrxekcrVazfiVkfxw9BBzXh7Ih/1fvW8gsO9CMpH793EwNYWsgnyUKpW0TFtLC0sjIzzl9nS0d8TftS192nVA/oimMBYEQRCeH2KegQb6109VCTq+HjlWo3zNkYP8cPQQCwcOYf6AwRoJiyorK/l67246zP83epPHEfTfxaw9cpCMG3k0Mzamt3s7Fg18jQsLP0H59Qpy//slx/49n+/G/J1xvj1EICAIwiPz13fptbS0MDQ0rPYOf1JSEgMGDMDc3BxTU1OCgoI4ePDPdOnp6enIZDJpat678vLy0NPT05hWfvny5Xh5eaGvr8/YsWM16h8+fJiQkBCaNWuGtbU1Q4cOJScnp9bvMHbsWPT09DAxMaFZs2aEhISQnJwMwOLFi+nXr59GfVdX1xrLasuFExQUhLW1NWZmZnTq1IlffvlFY3l2djZvvPEGcrkcExMTnJ2dGTt2rNQWgD179tC1a1fMzMxwdnaW8ifcq1evXshkMilvQ2MRwUADqNVqjqanYaKvT2BbzcyJ4bt30dnRiX+F9pfKopMSCPzsIwymTGDKulUkXr2ClYkpQ7p2Z+uUd7n91fdkf/oF0e9+wL/7vUIbG9tH/ZUEQRA0FBcXSx8nJye2bt0q/Txy5EhSU1Px8/OjQ4cOXLp0iatXrzJo0CBeeuklDh06pLGtkpISEhISpJ9/+OGHatkA5XI5s2fPZvz48dXaUlBQwMSJE0lPTycjIwNTU1MmT55cp+/x/vvvU1xczJUrV7C3t5fm++/RowcHDhxAdadHNicnB6VSycmTJzXKLl68WGuOgvDwcLKzsykqKiIiIoJRo0ZJaYtv3LiBr68vpaWlxMXFoVAoOHnyJIGBgURHRwOgVCoZNGgQb775JoWFhWzYsIHp06dz+vRpjf2sXbu20YOAu8Rjgga4VFhAeUUFvi6uGuVqtZqU3GuM9Q1AS0uLdUcPMXXdagpKSwBoZmTMkG7dmffKq9iZi7t8QRCeXvPmzcPHx4ePPvpIKps2bRrnzp3jgw8+IDY2ViofPXo0K1eu5NNPPwVg1apVhIWFaSTbGTx4MADHjx8nKytLY199+/bV+Hnq1KlSVsC6MjQ0ZNiwYQwdOhSA7t27o1QqiY+Pp1u3bsTGxhIUFERaWppGmYuLC3K5/IHb7tixo/RvmUyGUqkkMzMTOzs7Pv/8c8zMzFi9erX06rmFhQXjxo2T1snPz6eoqIjRo0cjk8no3r07Hh4eJCUlSZkLCwsLmT9/PqtWrcLHx6de370uRDDQADtTLwDwevcXNcrPXslEUVaG4tYtHN5/h6uFN5Eho49nBxYOHIJXy/rnxRYE4fnxjw1rOZ11uUn30cnBiWXDRz70dqKjo1m8eHG18mHDhhEcHExpaalUNmrUKAICAliyZAkXLlxAoVDg7e3d4Mx7sbGxuLu7117xL0pKSli3bh1t2rQBQE9PD29vb2JjY6ULf0BAAHK5XKOsLpkLAfr3709MTAzl5eX06dMHLy8vAGJiYhg0aNADs9Ta2toyYsQIVqxYwaRJkzh69CgZGRkamRT//e9/M3nyZFq0aFGv711X4jFBAxzLuQrAKG/N6GzloQPoamkTdWg/2YU38XVpQ9pHn7Fz2nsiEBAE4ZmSl5dXYxphOzs7KisrKSgokMocHBxwc3MjJiaGlStXEhYW1uD9njlzhgULFkjpjWvz2WefYWFhgampKfv372f16tXSssDAQKkHIy4ujoCAAAICAjTK6toDsW3bNhQKBTt27KBPnz7SxT8vL0/jAv7rr79K7XnppT/nnhkxYgQLFixAX1+fgIAAPvroIxwdHYGq3pIDBw7w9ttv16ktDSF6BhrgWkkxzYyNq2UmTLmWg5GeHoVlt9gwcQqvdXvhPlsQBEGorjHu2B8VKysr6bn4X2VnZ6OlpYWlpSW5ublSeVhYGFFRURw8eJDY2FhSUlLqvc+LFy/St29fwsPD8fX1rdM67733HosWLeLy5cuEhoZy/vx5qVu/R48efPnllxQUFHD9+nVcXV2xtbVlzJgxFBQUkJCQUOeeAQBdXV2pfS4uLgwYMIDmzZtrHKcBAwZw8+ZNIiMjWbNmDQDJyckMHz6cLVu2EBISQkpKCv3790cul9O3b1/eeustwsPD0WnCeWREz0ADKCsrsTCsPse/UqWSpgK2NRXv/wuC8OwKDg7mxx9/rFa+ceNGfHx8MLonD8qQIUPYvn07zs7OtGzZstp6tcnIyCA4OJg5c+YwevToeq/v5OREeHg477zzDrfuTNzm4+NDYWEhERER+Pn5AWBmZoZcLiciIgK5XF5toGNdVFRUkJqaCkDv3r35+eefqaysvG/9hIQE3NzcpB4FNzc3Xn75ZXbu3ElRURHHjx9n+PDhtGjRgu7duwNVvS1xcXH1btv9iGCgntRqNZVqNZbG1TMT2ltaontn8qHen3/CzM0bKS0vf9RNFARBaHJz587l4MGDzJo1i/z8fBQKBV988QWrVq3i448/rlbf2NiYPXv2EBkZWeP2KioqKCsrQ6VSoVKpKCsrk0bOX7lyhV69ejFlyhQmTZrU4DaHhIRIF3qoGlTo5eXF0qVLCQj4M6Orv78/S5curVOvQHJyMjt37uTWrVsolUrWrFlDbGys9Hhh+vTpFBQUMHr0aFJTU1Gr1SgUCuLj46VtdOnShZSUFPbs2YNarSY1NZVt27bRqVMnzM3NuXr1KvHx8cTHx7Njxw4ATpw4gbe3d4OPxb1EMFBPecUKAKxMTKstO5SWQkFpCcZ6+lRUqvjk9+2YTJuIUtU0r4IIgiA8Lq6uruzfv5/Tp0/TqlUr7Ozs2Lx5M7t27ZLusu/l5eWFi4tLjcsWLVqEoaEhS5YsYc2aNRgaGkrjAiIjI0lLS2P+/PnSXAc1jVeoixkzZvDJJ59QfudGLTAwkNzcXI3BegEBAeTm5tYpGFCr1cybNw8bGxusra0JDw9nw4YN0twKVlZWHD58GAMDA/z9/TE1NaVz584oFAq+/vprAFxcXPj++++ZNm0aZmZmBAYGMmTIECZMmIBMJqNFixbSx9q6Ktmdra0tenp6DToGNZGp1Xf6tR+z9PR03nrrLQ4dOoS+vj6vvfYay5Ytk56R7N69mylTpnD58mW8vb2JioqqU1eTl5cXx48fb7R2HkxNwf+TRYT5+BM19g2p/LqiCNv3/hzcoaetzW2ViiA3D2Le/UAkDKqnvXv30rNnz8fdjGeWOL5Nr67H+Ny5c3h4eDR9g54xCoUCU9PqN2XC/c+pB10Pn5gBhG+99RY2NjZkZ2dz8+ZNQkJC+Oqrr5g2bRp5eXkMHjyYyMhIXnnlFebMmcPw4cM5fPjwI29nR3sH5vgG8vpLoRrl1qZmzH9lMIGubvi6tGnSgR6CIAiC0JiemMcEly5dYtiwYRgYGNCiRQtCQ0NJTEwE4KeffsLT05OhQ4diYGDAvHnzOH36tMZUjo+KiYEhQS2d8bCrPgnFnP4D6eHmLgIBQRCER8TT01Nj6uR7p0xuDHFxcTXuw8TEpNH28bg9MVetd955h/Xr19OzZ08KCgrYuXMnCxcuBCAxMVGahQmqBqK4uLiQmJhY74knBEEQhGfH3ZvGphQQEEBxcXGT7+dxemKCgcDAQL799lvMzMxQqVSMGTOGV199FaiaI/vuoIm7zM3NUSgUNW4rIiJCGi2alZXF3r17G7WtxcXFjb5NQZM4xk1LHN+mV9djbG5uTlFRkRhXVE8qleq+14DnmVqtpqysrN6/348kGOjZsyf79u2rcZmfnx+xsbH06dOHN998k4MHD1JcXMz48eP54IMP+OSTTzAxMaGoqEhjvaKiovsOHpk4cSITJ04EqgZMNPZAKTH4qumJY9y0xPFtenU9xhcuXMDAwKBRR4Y/D8QAwpqVlpZiampKly5d6rXeIxkzsHfvXtRqdY2f/fv3k5+fT2ZmJlOnTkVfX5/mzZszbtw46X1KT09PjexNJSUlpKam4unp+SiaLwiC0GQsLCy4du3aAyelEYTaqNVqSktLuXLlCjY2NvVe/4l4TGBlZUXr1q35+uuvee+99yguLmblypXSOIFBgwYxY8YMNm/ezMsvv8yCBQvo2LGjGC8gCMJTz8rKiqysLM6fP/+4m/JUKSsrw8DA4HE344miq6uLra0tZmb1nwH3iQgGoOqNgX/84x98/PHHaGtrExQUxOeffw6AtbU1mzdvZurUqYwaNQpvb2/Wr1//mFssCILw8LS0tHBycnrczXjq7N27t95d4cL9PTHBQOfOnR844CE4OPixvEooCIIgCM+6J2aeAUEQBEEQHg8RDAiCIAjCc04EA4IgCILwnHtiEhU1FSsrK1q1atWo27x+/Xq1SZCExiWOcdMSx7fpiWPctMTxrb/09HTy8vJqXPbMBwNNobEzIQrViWPctMTxbXriGDctcXwbl3hMIAiCIAjPOREMCIIgCMJzTgQDDXA374HQdMQxblri+DY9cYyblji+jUuMGRAEQRCE55zoGRAEQRCE55wIBgRBEAThOSeCgRrk5+czaNAgjI2NadmyJT/88MN9637++ee0aNECc3Nzxo8fT3l5+SNs6dOrrsc4KioKbW1tTExMpM+DclgIVZYvX46Xlxf6+vqMHTv2gXXFOdwwdT3G4hxumPLyciZMmEDLli0xNTWlS5cu7Ny58771xXn8cEQwUIMpU6agp6fHtWvXWLt2LZMnTyYxMbFavV27drFkyRJ2795Neno6aWlpzJ079zG0+OlT12MM4OPjQ3FxsfTp2bPno23sU0gulzN79mzGjx//wHriHG64uh5jEOdwQ1RUVODo6Mi+ffsoLCxk4cKFDBs2jPT09Gp1xXncCNSChuLiYrWurq76/PnzUtmoUaPUH3zwQbW6I0aMUP/rX/+Sfo6JiVHb2to+knY+zepzjFesWKH28/N7lM17psyaNUs9ZsyY+y4X5/DDq+0Yi3O48XTo0EG9adOmauXiPH54omfgHhcuXEBbW5u2bdtKZZ06darxrjUxMZFOnTpp1Lt27Ro3btx4JG19WtXnGAOcOnUKKysr2rZty8KFC6moqHhUTX3miXP40RDn8MO7du0aFy5cwNPTs9oycR4/PBEM3KO4uBhzc3ONMnNzcxQKRa117/67prrCn+pzjHv06EFCQgK5ubls3ryZdevW8emnnz6qpj7zxDnc9MQ5/PCUSiUjR45kzJgxuLu7V1suzuOHJ4KBe5iYmFBUVKRRVlRUhKmpaa117/67prrCn+pzjJ2dnWndujVaWlp06NCBDz/8kE2bNj2qpj7zxDnc9MQ5/HAqKysZPXo0enp6LF++vMY64jx+eCIYuEfbtm2pqKggJSVFKjt9+nSNXVOenp6cPn1ao56trS3Nmzd/JG19WtXnGN9LJpOhFvNkNRpxDj964hyuO7VazYQJE7h27RqbN29GV1e3xnriPH54Ihi4h7GxMYMHD+bDDz+kpKSEAwcO8MsvvzB69OhqdcPCwvjuu+9ISkqioKCARYsW1foal1C/Y7xz506uXbsGQHJyMgsXLmTgwIGPuslPnYqKCsrKylCpVKhUKsrKymp8Ti3O4Yar6zEW53DDTZ48mXPnzrF161YMDQ3vW0+cx43gMQ9gfCLduHFDPXDgQLWRkZHa0dFRvXbtWrVarVZnZGSojY2N1RkZGVLd//73v2obGxu1qampeuzYseqysrLH1eynSl2P8T//+U+1jY2N2sjISN26dWv1nDlz1Ldv336cTX8qzJ07Vw1ofObOnSvO4UZU12MszuGGSU9PVwNqfX19tbGxsfRZs2aNOI+bgMhNIAiCIAjPOfGYQBAEQRCecyIYEARBEITnnAgGBEEQBOE5J4IBQRAEQXjOiWBAEARBEJ5zIhgQBEEQhOecCAYEQWhyMpmMixcv1rgsKioKf3//R9wiQXg8li9fjpeXF/r6+k02MdL69evx8PDA2NgYFxcX4uLial1HBAOCIDy07OxsJkyYgJ2dHaampri7uzN37lxKSkoatL2DBw/i6+sLPDiQEISnjVwuZ/bs2YwfP75Jth8dHc0HH3zAihUrUCgUxMbG4uzsXOt6IhgQBOGh5Ofn4+Pjw61btzh06BAKhYLo6Ghu3rxJampqg7a5Y8cO+vXr18gtFYTHb/Dgwbz66qs15k3Ytm0bnTt3xsLCAl9fX86cOVPv7c+dO5cPP/yQF198ES0tLezt7bG3t691PREMCIJQzcmTJ+nSpQumpqYMHTqU4cOHM3v27BrrLl26FFNTU9asWUOrVq0AcHR0JDw8nI4dO0r1YmJicHV1xdLSkilTpjwwWY8IBoTnzcmTJxk/fjzffPMNN27c4M0332TAgAGUl5fXeRsqlYrjx49z/fp12rRpg4ODA1OnTuXWrVu1riuCAUEQNNy+fZtBgwYxduxY8vPzGTFiBFu2bLlv/ZiYGAYPHoyW1oP/nGzbto1jx45x+vRpNm7cyK5du2qsl52dzbVr1+jSpctDfQ9BeJp8++23vPnmm3h7e6Otrc2YMWPQ19fn8OHDdd7GtWvXUCqVbNq0ibi4OOLj4zl16hSLFi2qdV0RDAiCoOHw4cNUVFQwbdo0dHV1GTx4MC+88MJ969+4cQM7O7tatztz5kwsLCxwcnIiKCiI+Pj4Guvt2LGD0NBQZDJZQ7+CIDx1MjIy+O9//4uFhYX0yczM5OrVqwD07NkTmUxW4+fuANy7mR3ffvtt7OzssLKyYvr06ezYsaPW/es03VcTBOFpdPXqVezt7TUuxo6Ojvet37x5c7Kzs2vdbosWLaR/GxkZUVxcXGO9HTt28Le//a0eLRaEp5+joyOzZs1i1qxZNS7fu3dvrduwtLTEwcGhQYG06BkQBEGDnZ0dV65c0Ximn5mZed/6wcHBbNmyhcrKyofet1KpZN++fYSEhDz0tgThSVRRUUFZWRkqlQqVSkVZWRkVFRW88cYb/N///R9HjhxBrVZTUlLC9u3bUSgU9dr+uHHj+OKLL8jNzaWgoIBly5bRv3//WtcTwYAgCBp8fHzQ1tZm+fLlVFRU8Msvv3D06NH71p8+fTpFRUWMGTOGjIwMAK5cucL06dPrPRo6Li6Ojh07YmZmplF++/ZtysrKpI9Kpar/FxOEJ8CiRYswNDRkyZIlrFmzBkNDQxYtWoSXlxfffvstU6dOxdLSkjZt2hAVFVXv7c+ZM4fu3bvTtm1bPDw86NKly317G/5KBAOCIGjQ09Pjp59+4rvvvsPCwoI1a9bQv39/9PX1a6zfrFkzDh48iK6uLt7e3piamtK7d2/Mzc1p06ZNvfZ9v7cIPD09MTQ0lD4rVqxo0HcThMdt3rx5qNVqjc+8efMACA0N5dixY9y8eZPs7Gx+/PFHTE1N67V9XV1dvvrqK27evElOTg7/+9//MDAwqHU9mfpB7/cIgiAA3t7eTJo0iXHjxjXpftq1a8emTZto165dk+5HEARNomdAEIRq9u3bR05ODhUVFaxcuZIzZ84QGhrapPu8ffs2YWFhIhAQhMdAvE0gCEI158+fZ9iwYRQXF+Pi4sKmTZvq9Prgw9DT02PmzJlNug9BEGomHhMIgiAIwnNOPCYQBEEQhOecCAYEQRAE4TknggFBEARBeM6JYEAQBEEQnnMiGBAEQRCE55wIBgRBEAThOff/ssM2dXFsBWEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 582.48x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#https://www.rgbtohex.net/\n",
    "fact = 5\n",
    "fig, axs = plt.subplots(1,1, figsize=(1.618*fact, 1*fact), facecolor='w', edgecolor='k')\n",
    "\n",
    "for m in range(0, len(modnam)):\n",
    "    tmod = modnam[m]\n",
    "    latmean, lats, units, longnam = get_weighted_latmean(yst, yen, dtype, tmod, var)\n",
    "    axs.plot(latmean, lats, label = tmod)#, color = '#01665E') \n",
    "    axs.set_xlabel(units)\n",
    "    axs.set_ylabel('latitude')\n",
    "    axs.set_yticks(np.arange(-80,100,20))\n",
    "    axs.grid()\n",
    "    axs.set_title(f'surface {longnam} \\n latitudinally averaged')\n",
    "axs.legend()\n",
    "\n",
    "\n",
    "#https://www.rgbtohex.net/\n",
    "fact = 5\n",
    "fig, axs = plt.subplots(1,1, figsize=(1.618*fact, 1*fact), facecolor='w', edgecolor='k')\n",
    "\n",
    "for m in range(0, len(modnam)):\n",
    "    tmod = modnam[m]\n",
    "    latmean, lats, units, longnam = get_weighted_latmean(yst, yen, dtype, tmod, var)\n",
    "    axs.plot(latmean, lats, label = tmod, color = '#01665E') \n",
    "    axs.set_xlabel(units)\n",
    "    axs.set_ylabel('latitude')\n",
    "    axs.set_yticks(np.arange(-80,100,20))\n",
    "    axs.grid()\n",
    "    axs.set_title(f'surface {longnam} \\n latitudinally averaged')\n",
    "axs.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "850a1ab4-f48c-4bf4-860b-46149ebda931",
   "metadata": {},
   "source": [
    "## latitudinally averaged, regridded"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "006f1b9a-6aff-4b93-a507-e22b05714384",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt, dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (deptht: 1, lat: 180, lon: 360, time: 12)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 0.5 1.5 2.5 3.5 4.5 ... 355.5 356.5 357.5 358.5 359.5\n",
       "  * lat      (lat) float32 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5\n",
       "  * deptht   (deptht) float32 4.999938\n",
       "  * time     (time) datetime64[ns] 1959-01-31 1959-02-28 ... 1959-12-31\n",
       "Data variables:\n",
       "    TChl     (time, deptht, lat, lon) float32 ...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-434afee3-d9a2-494a-9276-1dfc8acbe340' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-434afee3-d9a2-494a-9276-1dfc8acbe340' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>deptht</span>: 1</li><li><span class='xr-has-index'>lat</span>: 180</li><li><span class='xr-has-index'>lon</span>: 360</li><li><span class='xr-has-index'>time</span>: 12</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8a357f3d-7631-4721-aef0-67c8648f71ec' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8a357f3d-7631-4721-aef0-67c8648f71ec' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.5 1.5 2.5 ... 357.5 358.5 359.5</div><input id='attrs-691043a5-d4bc-4bf5-bf72-382ffd1017ee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-691043a5-d4bc-4bf5-bf72-382ffd1017ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bcef4eb1-f814-45fe-add6-86cd2d5444d9' class='xr-var-data-in' type='checkbox'><label for='data-bcef4eb1-f814-45fe-add6-86cd2d5444d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0.5,   1.5,   2.5, ..., 357.5, 358.5, 359.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-6d4b9d21-a030-47a2-9160-e106de2f52b1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6d4b9d21-a030-47a2-9160-e106de2f52b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be28581f-049e-473b-b6e8-a9d402228b21' class='xr-var-data-in' type='checkbox'><label for='data-be28581f-049e-473b-b6e8-a9d402228b21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
       "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
       "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
       "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
       "       -49.5, -48.5, -47.5, -46.5, -45.5, -44.5, -43.5, -42.5, -41.5, -40.5,\n",
       "       -39.5, -38.5, -37.5, -36.5, -35.5, -34.5, -33.5, -32.5, -31.5, -30.5,\n",
       "       -29.5, -28.5, -27.5, -26.5, -25.5, -24.5, -23.5, -22.5, -21.5, -20.5,\n",
       "       -19.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5,\n",
       "        -9.5,  -8.5,  -7.5,  -6.5,  -5.5,  -4.5,  -3.5,  -2.5,  -1.5,  -0.5,\n",
       "         0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,   9.5,\n",
       "        10.5,  11.5,  12.5,  13.5,  14.5,  15.5,  16.5,  17.5,  18.5,  19.5,\n",
       "        20.5,  21.5,  22.5,  23.5,  24.5,  25.5,  26.5,  27.5,  28.5,  29.5,\n",
       "        30.5,  31.5,  32.5,  33.5,  34.5,  35.5,  36.5,  37.5,  38.5,  39.5,\n",
       "        40.5,  41.5,  42.5,  43.5,  44.5,  45.5,  46.5,  47.5,  48.5,  49.5,\n",
       "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
       "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
       "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>deptht</span></div><div class='xr-var-dims'>(deptht)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>4.999938</div><input id='attrs-af84ac40-4422-44d5-a639-5ae5954d2649' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-af84ac40-4422-44d5-a639-5ae5954d2649' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7de8f4d-ec60-46df-bec1-b92eb9a0d652' class='xr-var-data-in' type='checkbox'><label for='data-f7de8f4d-ec60-46df-bec1-b92eb9a0d652' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([4.999938], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1959-01-31 ... 1959-12-31</div><input id='attrs-c296d963-4829-4fc9-bb4e-c4827ba682a9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c296d963-4829-4fc9-bb4e-c4827ba682a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9e7b974-a60b-458f-86ee-ec94d491ded7' class='xr-var-data-in' type='checkbox'><label for='data-a9e7b974-a60b-458f-86ee-ec94d491ded7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1959-01-31T00:00:00.000000000&#x27;, &#x27;1959-02-28T00:00:00.000000000&#x27;,\n",
       "       &#x27;1959-03-31T00:00:00.000000000&#x27;, &#x27;1959-04-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;1959-05-31T00:00:00.000000000&#x27;, &#x27;1959-06-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;1959-07-31T00:00:00.000000000&#x27;, &#x27;1959-08-31T00:00:00.000000000&#x27;,\n",
       "       &#x27;1959-09-30T00:00:00.000000000&#x27;, &#x27;1959-10-31T00:00:00.000000000&#x27;,\n",
       "       &#x27;1959-11-30T00:00:00.000000000&#x27;, &#x27;1959-12-31T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6d8d7c36-da99-434b-9929-a0f42b032bd8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6d8d7c36-da99-434b-9929-a0f42b032bd8' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>TChl</span></div><div class='xr-var-dims'>(time, deptht, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c14b189c-6e79-4762-9521-d0108f1f0f1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c14b189c-6e79-4762-9521-d0108f1f0f1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e26c1137-9940-4326-a618-08e33f2e173e' class='xr-var-data-in' type='checkbox'><label for='data-e26c1137-9940-4326-a618-08e33f2e173e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>total Chl</dd><dt><span>units :</span></dt><dd>g Chl/L</dd><dt><span>online_operation :</span></dt><dd>average</dd><dt><span>interval_operation :</span></dt><dd>5760 s</dd><dt><span>interval_write :</span></dt><dd>1 month</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 5760 s)</dd><dt><span>coordinates :</span></dt><dd>time_centered deptht nav_lon nav_lat</dd></dl></div><div class='xr-var-data'><pre>[777600 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a961f30b-61d2-4871-84ae-03dfcf06602d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a961f30b-61d2-4871-84ae-03dfcf06602d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (deptht: 1, lat: 180, lon: 360, time: 12)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 0.5 1.5 2.5 3.5 4.5 ... 355.5 356.5 357.5 358.5 359.5\n",
       "  * lat      (lat) float32 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5\n",
       "  * deptht   (deptht) float32 4.999938\n",
       "  * time     (time) datetime64[ns] 1959-01-31 1959-02-28 ... 1959-12-31\n",
       "Data variables:\n",
       "    TChl     (time, deptht, lat, lon) float32 ..."
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gridmask = xr.open_dataset('/gpfs/data/greenocean/software/resources/regrid/mesh_mask3_6.nc')\n",
    "gridmask\n",
    "\n",
    "tw = xr.open_dataset('/gpfs/home/mep22dku/scratch/test_regrid_RW/TOM12_RW_3G76/WOA_TChl_1959_0.nc')\n",
    "tchl = (tw['TChl'][:,0,:,:].values)\n",
    "yr = 1959\n",
    "times = pd.date_range(f\"{yr}/01/01\",f\"{yr+1}/01/01\",freq='M',closed='left')\n",
    "#tw.assign_coords({\"time2\": (\"time\", times)})\n",
    "tw.assign_coords(time=times)\n",
    "# plt.pcolormesh(tw['TChl'][0,0,:,:].values)\n",
    "\n",
    "# tw\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e9630865-233d-4da7-8f18-e89a82508797",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x2b655de4d710>]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def make_yearlist_WOA(yrst, yrend, dtype, modnam):\n",
    "    '''\n",
    "    open many files together as the same dataset\n",
    "    ylist = make_yearlist(2001,2011,'diad_T','TOM12_TJ_1AS1')\n",
    "    ds = xr.open_mfdataset(ylist)\n",
    "    \n",
    "    '''\n",
    "    bD = f'/gpfs/home/mep22dku/scratch/test_regrid_RW/{modnam}/'\n",
    "    yrs = np.arange(yrst,yrend+1,1)\n",
    "    ylist = []\n",
    "    for i in range(0,len(yrs)):\n",
    "        ty = f'{bD}/WOA*{yrs[i]}*'\n",
    "        ty2 = glob.glob(ty)[0]\n",
    "        ylist.append(ty2)\n",
    "    return ylist\n",
    "\n",
    "\n",
    "yst = 1955; yen = 1960; dtype = 'diad_T'; modnam = 'TOM12_RW_3G76'; var = 'TChl'\n",
    "\n",
    "def get_weighted_latmean_regridded(yst, yen, dtype, modnam, var):\n",
    "  \n",
    "    ylist = make_yearlist_WOA(yst, yen, dtype, modnam)\n",
    "    tdat = xr.open_mfdataset(ylist)\n",
    "    lat = tdat['lat']\n",
    "\n",
    "    times = pd.date_range(f\"{yst}/01/01\",f\"{yen+1}/01/01\",freq='M',closed='left')\n",
    "\n",
    "    tdat = tdat.assign_coords(time=times)\n",
    "    tvar = tdat[var].groupby('time.year').mean('time')\n",
    "    tvar = np.nanmean(tvar[:,0,:,:].values, axis = 0)\n",
    "    tvar = np.nanmean(tvar, axis = 1) #lat mean, not weighted\n",
    "\n",
    "    return lat, tvar\n",
    "\n",
    "lat, tvar = get_weighted_latmean_regridded(yst, yen, dtype, modnam, var)\n",
    "\n",
    "plt.figure()\n",
    "plt.plot(tvar, lat, 'r-')\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a4adcf34-0ed0-4086-851b-1b0991566cdf",
   "metadata": {},
   "source": [
    "### open observations and model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "86065c8d-9eb4-482d-ae34-017c1d25afcc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt, dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (AX: 360, AY: 180, TMONTH: 12, X: 360, Y: 180, Z1_1: 1)\n",
       "Coordinates:\n",
       "  * AX         (AX) float64 0.5 1.5 2.5 3.5 4.5 ... 356.5 357.5 358.5 359.5\n",
       "  * AY         (AY) float64 -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
       "  * TMONTH     (TMONTH) float64 0.5 1.5 2.5 3.5 4.5 ... 7.5 8.5 9.5 10.5 11.5\n",
       "  * Z1_1       (Z1_1) float32 0.0\n",
       "  * X          (X) float32 0.5 1.5 2.5 3.5 4.5 ... 355.5 356.5 357.5 358.5 359.5\n",
       "  * Y          (Y) float32 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5\n",
       "Data variables:\n",
       "    TCHL_CLIM  (TMONTH, AY, AX) float64 ...\n",
       "    P1_TCHL    (TMONTH, Z1_1) float64 0.3517 0.3457 0.3405 ... 0.5412 0.4122\n",
       "    P2_TCHL    (TMONTH, Z1_1) float64 0.1319 0.1293 0.1217 ... 0.1073 0.1246\n",
       "    P4_TCHL    (TMONTH, Z1_1) float64 0.08186 0.0835 0.08925 ... 0.09603 0.08687\n",
       "    P5_TCHL    (TMONTH, Z1_1) float64 0.3456 0.2598 0.2218 ... 0.2595 0.3886\n",
       "    A1_TCHL    (TMONTH, Z1_1) float64 0.3005 0.2631 0.3048 ... 0.5314 0.4199\n",
       "    A2_TCHL    (TMONTH, Z1_1) float64 0.1661 0.1647 0.1606 ... 0.1372 0.1578\n",
       "    A4_TCHL    (TMONTH, Z1_1) float64 0.1609 0.1506 0.1521 ... 0.1976 0.1803\n",
       "    A5_TCHL    (TMONTH, Z1_1) float64 0.578 0.4854 0.3567 ... 0.354 0.5359\n",
       "    I4_TCHL    (TMONTH, Z1_1) float64 0.133 0.1296 0.1335 ... 0.1527 0.1438\n",
       "    I5_TCHL    (TMONTH, Z1_1) float64 0.275 0.2216 0.1896 ... 0.2353 0.3104\n",
       "    EQ_TCHL    (TMONTH, Z1_1) float64 0.1575 0.1557 0.1491 ... 0.1501 0.154\n",
       "    P1         (Z1_1, Y, X) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
       "    P2         (Z1_1, Y, X) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
       "    P4         (Z1_1, Y, X) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
       "    P5         (Z1_1, Y, X) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
       "    A1         (Z1_1, Y, X) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
       "    A2         (Z1_1, Y, X) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
       "    A4         (Z1_1, Y, X) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
       "    A5         (Z1_1, Y, X) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
       "    I4         (Z1_1, Y, X) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
       "    I5         (Z1_1, Y, X) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
       "    EQUATOR    (Z1_1, Y, X) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
       "Attributes:\n",
       "    history:      FERRET V7.6 (optimized) 14-Oct-22\n",
       "    Conventions:  CF-1.6</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-366770ab-c63e-4a8e-aae4-f3cda1d90b33' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-366770ab-c63e-4a8e-aae4-f3cda1d90b33' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>AX</span>: 360</li><li><span class='xr-has-index'>AY</span>: 180</li><li><span class='xr-has-index'>TMONTH</span>: 12</li><li><span class='xr-has-index'>X</span>: 360</li><li><span class='xr-has-index'>Y</span>: 180</li><li><span class='xr-has-index'>Z1_1</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5f4c8a62-0d67-43c8-be01-0b2c336bce11' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5f4c8a62-0d67-43c8-be01-0b2c336bce11' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>AX</span></div><div class='xr-var-dims'>(AX)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5 1.5 2.5 ... 357.5 358.5 359.5</div><input id='attrs-5b7ec0aa-02a1-493f-a28d-684233bb9665' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b7ec0aa-02a1-493f-a28d-684233bb9665' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae99ea05-0cc3-478f-b77b-818dc995f49a' class='xr-var-data-in' type='checkbox'><label for='data-ae99ea05-0cc3-478f-b77b-818dc995f49a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>point_spacing :</span></dt><dd>even</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>modulo :</span></dt><dd>360.0</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.5,   1.5,   2.5, ..., 357.5, 358.5, 359.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>AY</span></div><div class='xr-var-dims'>(AY)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-3978a937-4985-4af0-bf39-145217f864b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3978a937-4985-4af0-bf39-145217f864b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee98deed-48f3-4675-9116-a32d44c1aacd' class='xr-var-data-in' type='checkbox'><label for='data-ee98deed-48f3-4675-9116-a32d44c1aacd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>point_spacing :</span></dt><dd>even</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
       "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
       "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
       "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
       "       -49.5, -48.5, -47.5, -46.5, -45.5, -44.5, -43.5, -42.5, -41.5, -40.5,\n",
       "       -39.5, -38.5, -37.5, -36.5, -35.5, -34.5, -33.5, -32.5, -31.5, -30.5,\n",
       "       -29.5, -28.5, -27.5, -26.5, -25.5, -24.5, -23.5, -22.5, -21.5, -20.5,\n",
       "       -19.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5,\n",
       "        -9.5,  -8.5,  -7.5,  -6.5,  -5.5,  -4.5,  -3.5,  -2.5,  -1.5,  -0.5,\n",
       "         0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,   9.5,\n",
       "        10.5,  11.5,  12.5,  13.5,  14.5,  15.5,  16.5,  17.5,  18.5,  19.5,\n",
       "        20.5,  21.5,  22.5,  23.5,  24.5,  25.5,  26.5,  27.5,  28.5,  29.5,\n",
       "        30.5,  31.5,  32.5,  33.5,  34.5,  35.5,  36.5,  37.5,  38.5,  39.5,\n",
       "        40.5,  41.5,  42.5,  43.5,  44.5,  45.5,  46.5,  47.5,  48.5,  49.5,\n",
       "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
       "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
       "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>TMONTH</span></div><div class='xr-var-dims'>(TMONTH)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5 1.5 2.5 3.5 ... 9.5 10.5 11.5</div><input id='attrs-39099fc4-61ad-4f1d-b152-c9fc4aaa8c26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39099fc4-61ad-4f1d-b152-c9fc4aaa8c26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01314ae5-b49c-4569-ada2-ae2d0e1cd86b' class='xr-var-data-in' type='checkbox'><label for='data-01314ae5-b49c-4569-ada2-ae2d0e1cd86b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>tmonth(noleap) since 1998-01-15</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>modulo :</span></dt><dd> </dd><dt><span>time_origin :</span></dt><dd>15-JAN-1998</dd><dt><span>calendar :</span></dt><dd>NOLEAP</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([ 0.5,  1.5,  2.5,  3.5,  4.5,  5.5,  6.5,  7.5,  8.5,  9.5, 10.5, 11.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Z1_1</span></div><div class='xr-var-dims'>(Z1_1)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-9d1555c9-7014-4e59-b826-88874dd1c0ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d1555c9-7014-4e59-b826-88874dd1c0ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6f6840d-c269-403c-83c6-7b35835c819d' class='xr-var-data-in' type='checkbox'><label for='data-e6f6840d-c269-403c-83c6-7b35835c819d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>point_spacing :</span></dt><dd>uneven</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>standard_name :</span></dt><dd>altitude</dd></dl></div><div class='xr-var-data'><pre>array([0.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>X</span></div><div class='xr-var-dims'>(X)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.5 1.5 2.5 ... 357.5 358.5 359.5</div><input id='attrs-094bcf27-8fa1-4942-9554-3287974ef9f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-094bcf27-8fa1-4942-9554-3287974ef9f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d437c15-bc9d-44b9-8cff-e74a422e3d05' class='xr-var-data-in' type='checkbox'><label for='data-3d437c15-bc9d-44b9-8cff-e74a422e3d05' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>modulo :</span></dt><dd>360.0</dd><dt><span>point_spacing :</span></dt><dd>even</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.5,   1.5,   2.5, ..., 357.5, 358.5, 359.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Y</span></div><div class='xr-var-dims'>(Y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-df2bf629-dc01-4ca9-b009-1d6a51bbb9ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df2bf629-dc01-4ca9-b009-1d6a51bbb9ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-535ff8e5-d2cd-4cb1-8beb-845a6d925f83' class='xr-var-data-in' type='checkbox'><label for='data-535ff8e5-d2cd-4cb1-8beb-845a6d925f83' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>point_spacing :</span></dt><dd>even</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
       "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
       "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
       "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
       "       -49.5, -48.5, -47.5, -46.5, -45.5, -44.5, -43.5, -42.5, -41.5, -40.5,\n",
       "       -39.5, -38.5, -37.5, -36.5, -35.5, -34.5, -33.5, -32.5, -31.5, -30.5,\n",
       "       -29.5, -28.5, -27.5, -26.5, -25.5, -24.5, -23.5, -22.5, -21.5, -20.5,\n",
       "       -19.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5,\n",
       "        -9.5,  -8.5,  -7.5,  -6.5,  -5.5,  -4.5,  -3.5,  -2.5,  -1.5,  -0.5,\n",
       "         0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,   9.5,\n",
       "        10.5,  11.5,  12.5,  13.5,  14.5,  15.5,  16.5,  17.5,  18.5,  19.5,\n",
       "        20.5,  21.5,  22.5,  23.5,  24.5,  25.5,  26.5,  27.5,  28.5,  29.5,\n",
       "        30.5,  31.5,  32.5,  33.5,  34.5,  35.5,  36.5,  37.5,  38.5,  39.5,\n",
       "        40.5,  41.5,  42.5,  43.5,  44.5,  45.5,  46.5,  47.5,  48.5,  49.5,\n",
       "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
       "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
       "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-72476745-9bd9-4c2c-99af-3a5d5e3640a7' class='xr-section-summary-in' type='checkbox'  ><label for='section-72476745-9bd9-4c2c-99af-3a5d5e3640a7' class='xr-section-summary' >Data variables: <span>(23)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>TCHL_CLIM</span></div><div class='xr-var-dims'>(TMONTH, AY, AX)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-098e0fd9-732a-42ad-88e9-463ec023f1a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-098e0fd9-732a-42ad-88e9-463ec023f1a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b454085f-3315-4a39-9598-40ddb5c3ddf5' class='xr-var-data-in' type='checkbox'><label for='data-b454085f-3315-4a39-9598-40ddb5c3ddf5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>TCHL[GT=TMONTH@MOD]</dd><dt><span>climatology_time_range :</span></dt><dd>JAN-1998:DEC-2020</dd></dl></div><div class='xr-var-data'><pre>[777600 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>P1_TCHL</span></div><div class='xr-var-dims'>(TMONTH, Z1_1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-81c4e28d-b8b0-45b7-a284-ab14ee20abb4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81c4e28d-b8b0-45b7-a284-ab14ee20abb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51877358-2981-4f64-a0de-2d57db61bcb5' class='xr-var-data-in' type='checkbox'><label for='data-51877358-2981-4f64-a0de-2d57db61bcb5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>10^AV_P1</dd><dt><span>long_name_mod :</span></dt><dd>X=0E:0E(360), Y=90S:90N</dd><dt><span>history :</span></dt><dd>From ../../basin_masks.nc</dd></dl></div><div class='xr-var-data'><pre>array([[0.351728],\n",
       "       [0.345699],\n",
       "       [0.34051 ],\n",
       "       [0.412745],\n",
       "       [0.569568],\n",
       "       [0.57105 ],\n",
       "       [0.470221],\n",
       "       [0.45844 ],\n",
       "       [0.497152],\n",
       "       [0.556689],\n",
       "       [0.541221],\n",
       "       [0.412152]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>P2_TCHL</span></div><div class='xr-var-dims'>(TMONTH, Z1_1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-487568d2-b47b-4cda-af04-6a60bba13eb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-487568d2-b47b-4cda-af04-6a60bba13eb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98d897f3-0b67-42d9-846d-43b3215fcb75' class='xr-var-data-in' type='checkbox'><label for='data-98d897f3-0b67-42d9-846d-43b3215fcb75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>10^AV_P2</dd><dt><span>long_name_mod :</span></dt><dd>X=0E:0E(360), Y=90S:90N</dd><dt><span>history :</span></dt><dd>From ../../basin_masks.nc</dd></dl></div><div class='xr-var-data'><pre>array([[0.131868],\n",
       "       [0.129287],\n",
       "       [0.121736],\n",
       "       [0.110727],\n",
       "       [0.098817],\n",
       "       [0.092074],\n",
       "       [0.084844],\n",
       "       [0.080272],\n",
       "       [0.080138],\n",
       "       [0.089786],\n",
       "       [0.107336],\n",
       "       [0.124612]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>P4_TCHL</span></div><div class='xr-var-dims'>(TMONTH, Z1_1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2536f8db-d140-427e-8bda-76eac185dbf8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2536f8db-d140-427e-8bda-76eac185dbf8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f37370d-6e48-4895-9701-5cd34c736d2d' class='xr-var-data-in' type='checkbox'><label for='data-7f37370d-6e48-4895-9701-5cd34c736d2d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>10^AV_P4</dd><dt><span>long_name_mod :</span></dt><dd>X=0E:0E(360), Y=90S:90N</dd><dt><span>history :</span></dt><dd>From ../../basin_masks.nc</dd></dl></div><div class='xr-var-data'><pre>array([[0.081859],\n",
       "       [0.083499],\n",
       "       [0.089251],\n",
       "       [0.098541],\n",
       "       [0.108354],\n",
       "       [0.114289],\n",
       "       [0.119661],\n",
       "       [0.124354],\n",
       "       [0.123912],\n",
       "       [0.11104 ],\n",
       "       [0.096033],\n",
       "       [0.086874]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>P5_TCHL</span></div><div class='xr-var-dims'>(TMONTH, Z1_1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-90eeb147-db4d-4866-b7d8-b89fa131fb9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90eeb147-db4d-4866-b7d8-b89fa131fb9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c616e2be-4a66-4b04-8e65-632a04cc4c52' class='xr-var-data-in' type='checkbox'><label for='data-c616e2be-4a66-4b04-8e65-632a04cc4c52' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>10^AV_P5</dd><dt><span>long_name_mod :</span></dt><dd>X=0E:0E(360), Y=90S:90N</dd><dt><span>history :</span></dt><dd>From ../../basin_masks.nc</dd></dl></div><div class='xr-var-data'><pre>array([[0.345624],\n",
       "       [0.259834],\n",
       "       [0.221757],\n",
       "       [0.167368],\n",
       "       [0.167855],\n",
       "       [     nan],\n",
       "       [0.139169],\n",
       "       [0.139782],\n",
       "       [0.147163],\n",
       "       [0.172286],\n",
       "       [0.259508],\n",
       "       [0.388637]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A1_TCHL</span></div><div class='xr-var-dims'>(TMONTH, Z1_1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-47dc10f0-5de0-4456-999a-d32729c31c98' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47dc10f0-5de0-4456-999a-d32729c31c98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fbebda7-b79c-48c9-9be1-7e48512772a6' class='xr-var-data-in' type='checkbox'><label for='data-8fbebda7-b79c-48c9-9be1-7e48512772a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>10^AV_A1</dd><dt><span>long_name_mod :</span></dt><dd>X=0E:0E(360), Y=90S:90N</dd><dt><span>history :</span></dt><dd>From ../../basin_masks.nc</dd></dl></div><div class='xr-var-data'><pre>array([[0.300548],\n",
       "       [0.263073],\n",
       "       [0.304796],\n",
       "       [0.517763],\n",
       "       [0.817717],\n",
       "       [0.825417],\n",
       "       [0.691284],\n",
       "       [0.620224],\n",
       "       [0.605618],\n",
       "       [0.580945],\n",
       "       [0.531392],\n",
       "       [0.419868]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A2_TCHL</span></div><div class='xr-var-dims'>(TMONTH, Z1_1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-03695271-fb70-4ba4-af03-30428d243a70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03695271-fb70-4ba4-af03-30428d243a70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4809ce1a-082a-47ff-ae71-b8f36796b398' class='xr-var-data-in' type='checkbox'><label for='data-4809ce1a-082a-47ff-ae71-b8f36796b398' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>10^AV_A2</dd><dt><span>long_name_mod :</span></dt><dd>X=0E:0E(360), Y=90S:90N</dd><dt><span>history :</span></dt><dd>From ../../basin_masks.nc</dd></dl></div><div class='xr-var-data'><pre>array([[0.166058],\n",
       "       [0.164711],\n",
       "       [0.160621],\n",
       "       [0.144349],\n",
       "       [0.117562],\n",
       "       [0.099612],\n",
       "       [0.09125 ],\n",
       "       [0.086812],\n",
       "       [0.092274],\n",
       "       [0.108814],\n",
       "       [0.137201],\n",
       "       [0.157752]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A4_TCHL</span></div><div class='xr-var-dims'>(TMONTH, Z1_1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9138a5d2-8b68-4b7a-8fdc-49d3979b9e1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9138a5d2-8b68-4b7a-8fdc-49d3979b9e1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a4d5056-7e09-4cea-be04-218801510544' class='xr-var-data-in' type='checkbox'><label for='data-7a4d5056-7e09-4cea-be04-218801510544' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>10^AV_A4</dd><dt><span>long_name_mod :</span></dt><dd>X=0E:0E(360), Y=90S:90N</dd><dt><span>history :</span></dt><dd>From ../../basin_masks.nc</dd></dl></div><div class='xr-var-data'><pre>array([[0.160852],\n",
       "       [0.150557],\n",
       "       [0.152056],\n",
       "       [0.163265],\n",
       "       [0.177166],\n",
       "       [0.181353],\n",
       "       [0.185678],\n",
       "       [0.195031],\n",
       "       [0.208355],\n",
       "       [0.210298],\n",
       "       [0.197561],\n",
       "       [0.180328]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A5_TCHL</span></div><div class='xr-var-dims'>(TMONTH, Z1_1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-011d6332-7b3c-47d0-844c-921160783fea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-011d6332-7b3c-47d0-844c-921160783fea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1fbeaf9-06a6-4fc8-968e-b141238e9e78' class='xr-var-data-in' type='checkbox'><label for='data-c1fbeaf9-06a6-4fc8-968e-b141238e9e78' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>10^AV_A5</dd><dt><span>long_name_mod :</span></dt><dd>X=0E:0E(360), Y=90S:90N</dd><dt><span>history :</span></dt><dd>From ../../basin_masks.nc</dd></dl></div><div class='xr-var-data'><pre>array([[0.578018],\n",
       "       [0.48537 ],\n",
       "       [0.356706],\n",
       "       [0.247923],\n",
       "       [0.254871],\n",
       "       [     nan],\n",
       "       [0.190584],\n",
       "       [0.176383],\n",
       "       [0.194292],\n",
       "       [0.255594],\n",
       "       [0.353966],\n",
       "       [0.535863]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>I4_TCHL</span></div><div class='xr-var-dims'>(TMONTH, Z1_1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0b66f1de-d458-485c-9a37-b1ad972bd317' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b66f1de-d458-485c-9a37-b1ad972bd317' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46809036-f4a6-4568-abd3-6c0b8ac4e1a4' class='xr-var-data-in' type='checkbox'><label for='data-46809036-f4a6-4568-abd3-6c0b8ac4e1a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>10^AV_I4</dd><dt><span>long_name_mod :</span></dt><dd>X=0E:0E(360), Y=90S:90N</dd><dt><span>history :</span></dt><dd>From ../../basin_masks.nc</dd></dl></div><div class='xr-var-data'><pre>array([[0.132975],\n",
       "       [0.129599],\n",
       "       [0.133532],\n",
       "       [0.142472],\n",
       "       [0.150403],\n",
       "       [0.152066],\n",
       "       [0.153053],\n",
       "       [0.15642 ],\n",
       "       [0.157979],\n",
       "       [0.158519],\n",
       "       [0.152674],\n",
       "       [0.143796]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>I5_TCHL</span></div><div class='xr-var-dims'>(TMONTH, Z1_1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a03f3037-739d-47a0-bbc2-87240c4bc7df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a03f3037-739d-47a0-bbc2-87240c4bc7df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a97ab53-3121-49ca-9654-bec53e3b4d77' class='xr-var-data-in' type='checkbox'><label for='data-2a97ab53-3121-49ca-9654-bec53e3b4d77' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>10^AV_I5</dd><dt><span>long_name_mod :</span></dt><dd>X=0E:0E(360), Y=90S:90N</dd><dt><span>history :</span></dt><dd>From ../../basin_masks.nc</dd></dl></div><div class='xr-var-data'><pre>array([[0.27496 ],\n",
       "       [0.22161 ],\n",
       "       [0.189552],\n",
       "       [0.167916],\n",
       "       [0.146209],\n",
       "       [     nan],\n",
       "       [0.138931],\n",
       "       [0.148743],\n",
       "       [0.161205],\n",
       "       [0.177453],\n",
       "       [0.235331],\n",
       "       [0.310405]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>EQ_TCHL</span></div><div class='xr-var-dims'>(TMONTH, Z1_1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-91ed5fbe-5fd0-4281-b8e7-9cc33d96b760' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91ed5fbe-5fd0-4281-b8e7-9cc33d96b760' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ecd083f1-d5e6-4374-aaaf-e76984b65965' class='xr-var-data-in' type='checkbox'><label for='data-ecd083f1-d5e6-4374-aaaf-e76984b65965' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>10^AV_EQ</dd><dt><span>climatology_time_range :</span></dt><dd>JAN-1998:DEC-2020</dd><dt><span>long_name_mod :</span></dt><dd>X=0E:0E(360), Y=90S:90N</dd><dt><span>history :</span></dt><dd>From ../../basin_masks.nc</dd></dl></div><div class='xr-var-data'><pre>array([[0.15752 ],\n",
       "       [0.155733],\n",
       "       [0.149094],\n",
       "       [0.14563 ],\n",
       "       [0.149491],\n",
       "       [0.160856],\n",
       "       [0.173143],\n",
       "       [0.17671 ],\n",
       "       [0.170013],\n",
       "       [0.157853],\n",
       "       [0.150124],\n",
       "       [0.153978]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>P1</span></div><div class='xr-var-dims'>(Z1_1, Y, X)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9ac17a45-b88a-4375-9e41-8aa5b98121f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ac17a45-b88a-4375-9e41-8aa5b98121f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7843c0c-a515-42b4-9db2-c2e4d584c88c' class='xr-var-data-in' type='checkbox'><label for='data-f7843c0c-a515-42b4-9db2-c2e4d584c88c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>IF Y[G=GEY1] GT 40 AND Y[G=GEY1] LE 65 THEN PAC</dd><dt><span>history :</span></dt><dd>From WOA09_basins_map</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>P2</span></div><div class='xr-var-dims'>(Z1_1, Y, X)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d7a4ebbc-16e4-4780-acac-5ed3a3d887b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7a4ebbc-16e4-4780-acac-5ed3a3d887b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f1518e3-0287-4b21-97bd-829f0abd1125' class='xr-var-data-in' type='checkbox'><label for='data-9f1518e3-0287-4b21-97bd-829f0abd1125' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>IF Y[G=GEY1] GT 15 AND Y[G=GEY1] LE 40 THEN PAC</dd><dt><span>history :</span></dt><dd>From WOA09_basins_map</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>P4</span></div><div class='xr-var-dims'>(Z1_1, Y, X)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-db469176-4c90-4700-a49a-5b73c31e0b35' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db469176-4c90-4700-a49a-5b73c31e0b35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0e57b1d-54cf-419d-b338-f99d3dec137a' class='xr-var-data-in' type='checkbox'><label for='data-f0e57b1d-54cf-419d-b338-f99d3dec137a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>IF Y[G=GEY1] GT -50 AND Y[G=GEY1] LE -15 THEN PAC</dd><dt><span>history :</span></dt><dd>From WOA09_basins_map</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>P5</span></div><div class='xr-var-dims'>(Z1_1, Y, X)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-07d1c434-ad35-4710-84fe-ed4328428916' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07d1c434-ad35-4710-84fe-ed4328428916' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9525d41f-8346-4072-b019-2e981364f76b' class='xr-var-data-in' type='checkbox'><label for='data-9525d41f-8346-4072-b019-2e981364f76b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>IF Y[G=GEY1] LE -50 THEN PAC</dd><dt><span>history :</span></dt><dd>From WOA09_basins_map</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A1</span></div><div class='xr-var-dims'>(Z1_1, Y, X)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5d050317-bbc2-40cc-abf8-906c093acdca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d050317-bbc2-40cc-abf8-906c093acdca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8783378d-3e00-42cf-ab0b-04badf0ec042' class='xr-var-data-in' type='checkbox'><label for='data-8783378d-3e00-42cf-ab0b-04badf0ec042' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>IF Y[G=GEY1] GT 45 AND Y[G=GEY1] LE 75 THEN ATL</dd><dt><span>history :</span></dt><dd>From WOA09_basins_map</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A2</span></div><div class='xr-var-dims'>(Z1_1, Y, X)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c87ff225-5104-4879-a435-f8ba2746f708' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c87ff225-5104-4879-a435-f8ba2746f708' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18d2f789-68ee-4fa3-b657-8e306e206f3b' class='xr-var-data-in' type='checkbox'><label for='data-18d2f789-68ee-4fa3-b657-8e306e206f3b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>IF Y[G=GEY1] GT 15 AND Y[G=GEY1] LE 45 THEN ATL</dd><dt><span>history :</span></dt><dd>From WOA09_basins_map</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A4</span></div><div class='xr-var-dims'>(Z1_1, Y, X)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a04105d5-e1e9-4698-a620-d037bea84849' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a04105d5-e1e9-4698-a620-d037bea84849' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4668c01a-6e6f-4e07-b2a1-0be0b9455a62' class='xr-var-data-in' type='checkbox'><label for='data-4668c01a-6e6f-4e07-b2a1-0be0b9455a62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>IF Y[G=GEY1] GT -50 AND Y[G=GEY1] LE -15 THEN ATL</dd><dt><span>history :</span></dt><dd>From WOA09_basins_map</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A5</span></div><div class='xr-var-dims'>(Z1_1, Y, X)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b4b2fe9f-be2c-4208-9f04-dcdb7080aa10' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4b2fe9f-be2c-4208-9f04-dcdb7080aa10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a0473b4-1371-40e1-ab7a-f157bf883947' class='xr-var-data-in' type='checkbox'><label for='data-4a0473b4-1371-40e1-ab7a-f157bf883947' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>IF Y[G=GEY1] LE -50 THEN ATL</dd><dt><span>history :</span></dt><dd>From WOA09_basins_map</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>I4</span></div><div class='xr-var-dims'>(Z1_1, Y, X)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-379630af-a745-4605-b507-977b9e1bc206' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-379630af-a745-4605-b507-977b9e1bc206' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bccde7d7-ce20-4307-84ba-a3c13c11c78d' class='xr-var-data-in' type='checkbox'><label for='data-bccde7d7-ce20-4307-84ba-a3c13c11c78d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>IF Y[G=GEY1] GT -50 AND Y[G=GEY1] LE -15 THEN IND</dd><dt><span>history :</span></dt><dd>From WOA09_basins_map</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>I5</span></div><div class='xr-var-dims'>(Z1_1, Y, X)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9afcac30-2fa2-49c3-97ad-94c1df759cd1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9afcac30-2fa2-49c3-97ad-94c1df759cd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83ebd7f2-8391-4892-930d-a4d8eaa5e2a0' class='xr-var-data-in' type='checkbox'><label for='data-83ebd7f2-8391-4892-930d-a4d8eaa5e2a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>IF Y[G=GEY1] LE -50 THEN IND</dd><dt><span>history :</span></dt><dd>From WOA09_basins_map</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>EQUATOR</span></div><div class='xr-var-dims'>(Z1_1, Y, X)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-872298e8-e14b-4956-8661-65f76650f78a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-872298e8-e14b-4956-8661-65f76650f78a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13822a61-8b6f-490e-8e5a-8d75e84eab24' class='xr-var-data-in' type='checkbox'><label for='data-13822a61-8b6f-490e-8e5a-8d75e84eab24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>IF I3 GT 0 THEN 1 ELSE EQUATOR1</dd><dt><span>history :</span></dt><dd>From ../../basin_masks.nc</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d69f433f-b0e4-4b70-93b9-36d3ee41066e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d69f433f-b0e4-4b70-93b9-36d3ee41066e' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>history :</span></dt><dd>FERRET V7.6 (optimized) 14-Oct-22</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (AX: 360, AY: 180, TMONTH: 12, X: 360, Y: 180, Z1_1: 1)\n",
       "Coordinates:\n",
       "  * AX         (AX) float64 0.5 1.5 2.5 3.5 4.5 ... 356.5 357.5 358.5 359.5\n",
       "  * AY         (AY) float64 -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
       "  * TMONTH     (TMONTH) float64 0.5 1.5 2.5 3.5 4.5 ... 7.5 8.5 9.5 10.5 11.5\n",
       "  * Z1_1       (Z1_1) float32 0.0\n",
       "  * X          (X) float32 0.5 1.5 2.5 3.5 4.5 ... 355.5 356.5 357.5 358.5 359.5\n",
       "  * Y          (Y) float32 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5\n",
       "Data variables:\n",
       "    TCHL_CLIM  (TMONTH, AY, AX) float64 ...\n",
       "    P1_TCHL    (TMONTH, Z1_1) float64 ...\n",
       "    P2_TCHL    (TMONTH, Z1_1) float64 ...\n",
       "    P4_TCHL    (TMONTH, Z1_1) float64 ...\n",
       "    P5_TCHL    (TMONTH, Z1_1) float64 ...\n",
       "    A1_TCHL    (TMONTH, Z1_1) float64 ...\n",
       "    A2_TCHL    (TMONTH, Z1_1) float64 ...\n",
       "    A4_TCHL    (TMONTH, Z1_1) float64 ...\n",
       "    A5_TCHL    (TMONTH, Z1_1) float64 ...\n",
       "    I4_TCHL    (TMONTH, Z1_1) float64 ...\n",
       "    I5_TCHL    (TMONTH, Z1_1) float64 ...\n",
       "    EQ_TCHL    (TMONTH, Z1_1) float64 ...\n",
       "    P1         (Z1_1, Y, X) float64 ...\n",
       "    P2         (Z1_1, Y, X) float64 ...\n",
       "    P4         (Z1_1, Y, X) float64 ...\n",
       "    P5         (Z1_1, Y, X) float64 ...\n",
       "    A1         (Z1_1, Y, X) float64 ...\n",
       "    A2         (Z1_1, Y, X) float64 ...\n",
       "    A4         (Z1_1, Y, X) float64 ...\n",
       "    A5         (Z1_1, Y, X) float64 ...\n",
       "    I4         (Z1_1, Y, X) float64 ...\n",
       "    I5         (Z1_1, Y, X) float64 ...\n",
       "    EQUATOR    (Z1_1, Y, X) float64 ...\n",
       "Attributes:\n",
       "    history:      FERRET V7.6 (optimized) 14-Oct-22\n",
       "    Conventions:  CF-1.6"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "26eb64d6-13dd-45a3-9536-7b15d8b8a077",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(12, 180, 360)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "ds = xr.open_dataset('/gpfs/home/vsz14eru/_obs/occciv5/climatology_OCCCIv5_monthly.nc', decode_times=False)\n",
    "times = pd.date_range(f\"{1960}/01/01\",f\"{1961}/01/01\",freq='M',closed='left')\n",
    "ds = ds.assign_coords(TMONTH=times)\n",
    "obs_clim = (ds['TCHL_CLIM'].values)\n",
    "plt.pcolormesh(obs_clim[3,:,:], vmin = 0, vmax = 2)\n",
    "\n",
    "print(np.shape(obs_clim))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "f4fc1ac5-080a-456e-8cad-be8a7335a693",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "yst = 1955; yen = 1960\n",
    "dtype =  'diad_T'\n",
    "var = 'TChl'\n",
    "modnam = ['TOM12_RW_3G76','TOM12_RW_3G72', 'TOM12_RW_3G74', 'TOM12_RW_3G83', 'TOM12_RW_3G84']\n",
    "\n",
    "ylist = make_yearlist_WOA(yst, yen, dtype, modnam[0])\n",
    "tdat = xr.open_mfdataset(ylist)\n",
    "lat = tdat['lat']\n",
    "times = pd.date_range(f\"{yst}/01/01\",f\"{yen+1}/01/01\",freq='M',closed='left')\n",
    "tdat = tdat.assign_coords(time=times)\n",
    "tdat = tdat[var].groupby('time.month').mean('time')\n",
    "tmod_3G76 = tdat[:,0,:,:].values*1e6\n",
    "\n",
    "ylist = make_yearlist_WOA(yst, yen, dtype, modnam[1])\n",
    "tdat = xr.open_mfdataset(ylist)\n",
    "lat = tdat['lat']\n",
    "times = pd.date_range(f\"{yst}/01/01\",f\"{yen+1}/01/01\",freq='M',closed='left')\n",
    "tdat = tdat.assign_coords(time=times)\n",
    "tdat = tdat[var].groupby('time.month').mean('time')\n",
    "tmod_3G72 = tdat[:,0,:,:].values*1e6\n",
    "\n",
    "ylist = make_yearlist_WOA(yst, yen, dtype, modnam[2])\n",
    "tdat = xr.open_mfdataset(ylist)\n",
    "lat = tdat['lat']\n",
    "times = pd.date_range(f\"{yst}/01/01\",f\"{yen+1}/01/01\",freq='M',closed='left')\n",
    "tdat = tdat.assign_coords(time=times)\n",
    "tdat = tdat[var].groupby('time.month').mean('time')\n",
    "tmod_3G74 = tdat[:,0,:,:].values*1e6\n",
    "\n",
    "ylist = make_yearlist_WOA(yst, yen, dtype, modnam[3])\n",
    "tdat = xr.open_mfdataset(ylist)\n",
    "lat = tdat['lat']\n",
    "times = pd.date_range(f\"{yst}/01/01\",f\"{yen+1}/01/01\",freq='M',closed='left')\n",
    "tdat = tdat.assign_coords(time=times)\n",
    "tdat = tdat[var].groupby('time.month').mean('time')\n",
    "tmod_3G83 = tdat[:,0,:,:].values*1e6\n",
    "\n",
    "ylist = make_yearlist_WOA(yst, yen, dtype, modnam[4])\n",
    "tdat = xr.open_mfdataset(ylist)\n",
    "lat = tdat['lat']\n",
    "lon = tdat['lon']\n",
    "times = pd.date_range(f\"{yst}/01/01\",f\"{yen+1}/01/01\",freq='M',closed='left')\n",
    "tdat = tdat.assign_coords(time=times)\n",
    "tdat = tdat[var].groupby('time.month').mean('time')\n",
    "tmod_3G84 = tdat[:,0,:,:].values *1e6\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "49c0c483-f393-45e9-b1b5-c4161528390a",
   "metadata": {},
   "outputs": [],
   "source": [
    "obs_clim[np.isnan(tmod_3G76)] = np.nan\n",
    "tmod_3G76[np.isnan(obs_clim)] = np.nan\n",
    "tmod_3G72[np.isnan(obs_clim)] = np.nan\n",
    "tmod_3G74[np.isnan(obs_clim)] = np.nan\n",
    "tmod_3G83[np.isnan(obs_clim)] = np.nan\n",
    "tmod_3G84[np.isnan(obs_clim)] = np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "83021121-97d0-43ec-89a7-2a0558997503",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(72,)"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "5cdaad2a-9ac0-420b-b535-5973a06efb85",
   "metadata": {},
   "outputs": [],
   "source": [
    "times = pd.date_range(f\"{1960}/01/01\",f\"{1961}/01/01\",freq='M',closed='left')\n",
    "\n",
    "tmod_3G83_ar = xr.DataArray(\n",
    "    data=tmod_3G83,\n",
    "    dims=[\"time\", \"y\", \"x\"],\n",
    "    coords=dict(\n",
    "        lon=([\"x\",], lon),\n",
    "        lat=([\"y\"], lat),\n",
    "        time=times,\n",
    "    ),\n",
    "    attrs=dict(\n",
    "        description=\"Ambient temperature.\",\n",
    "        units=\"degC\",\n",
    "    ),\n",
    ")\n",
    "\n",
    "tmod_3G74_ar = xr.DataArray(\n",
    "    data=tmod_3G74,\n",
    "    dims=[\"time\", \"y\", \"x\"],\n",
    "    coords=dict(\n",
    "        lon=([\"x\",], lon),\n",
    "        lat=([\"y\"], lat),\n",
    "        time=times,\n",
    "    ),\n",
    "    attrs=dict(\n",
    "        description=\"Ambient temperature.\",\n",
    "        units=\"degC\",\n",
    "    ),\n",
    ")\n",
    "\n",
    "tmod_3G72_ar = xr.DataArray(\n",
    "    data=tmod_3G72,\n",
    "    dims=[\"time\", \"y\", \"x\"],\n",
    "    coords=dict(\n",
    "        lon=([\"x\",], lon),\n",
    "        lat=([\"y\"], lat),\n",
    "        time=times,\n",
    "    ),\n",
    "    attrs=dict(\n",
    "        description=\"Ambient temperature.\",\n",
    "        units=\"degC\",\n",
    "    ),\n",
    ")\n",
    "\n",
    "tmod_3G76_ar = xr.DataArray(\n",
    "    data=tmod_3G76,\n",
    "    dims=[\"time\", \"y\", \"x\"],\n",
    "    coords=dict(\n",
    "        lon=([\"x\",], lon),\n",
    "        lat=([\"y\"], lat),\n",
    "        time=times,\n",
    "    ),\n",
    "    attrs=dict(\n",
    "        description=\"Ambient temperature.\",\n",
    "        units=\"degC\",\n",
    "    ),\n",
    ")\n",
    "\n",
    "tmod_3G83_ar = xr.DataArray(\n",
    "    data=tmod_3G83,\n",
    "    dims=[\"time\", \"y\", \"x\"],\n",
    "    coords=dict(\n",
    "        lon=([\"x\",], lon),\n",
    "        lat=([\"y\"], lat),\n",
    "        time=times,\n",
    "    ),\n",
    "    attrs=dict(\n",
    "        description=\"Ambient temperature.\",\n",
    "        units=\"degC\",\n",
    "    ),\n",
    ")\n",
    "\n",
    "tmod_3G84_ar = xr.DataArray(\n",
    "    data=tmod_3G84,\n",
    "    dims=[\"time\", \"y\", \"x\"],\n",
    "    coords=dict(\n",
    "        lon=([\"x\",], lon),\n",
    "        lat=([\"y\"], lat),\n",
    "        time=times,\n",
    "    ),\n",
    "    attrs=dict(\n",
    "        description=\"Ambient temperature.\",\n",
    "        units=\"degC\",\n",
    "    ),\n",
    ")\n",
    "\n",
    "obs_clim_ar = xr.DataArray(\n",
    "    data=obs_clim,\n",
    "    dims=[\"time\", \"y\", \"x\"],\n",
    "    coords=dict(\n",
    "        lon=([\"x\",], lon),\n",
    "        lat=([\"y\"], lat),\n",
    "        time=times,\n",
    "    ),\n",
    "    attrs=dict(\n",
    "        description=\"Ambient temperature.\",\n",
    "        units=\"degC\",\n",
    "    ),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "48cd2e03-eb21-4964-8352-c0e5bea1a926",
   "metadata": {},
   "outputs": [],
   "source": [
    "tmod_3G83_ar_y = tmod_3G83_ar.groupby('time.year').mean('time').mean(dim = 'x')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "76b3b619-8e7c-4167-9880-f5e8e0623fc3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt, dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (y: 180)&gt;\n",
       "array([       nan,        nan,        nan,        nan,        nan,\n",
       "              nan,        nan,        nan,        nan,        nan,\n",
       "              nan,        nan, 0.70191681, 0.48108852, 0.26104002,\n",
       "       0.21977334, 0.18661553, 0.16532092, 0.13419334, 0.14523583,\n",
       "       0.11623337, 0.13006614, 0.13214086, 0.12691387, 0.12727712,\n",
       "       0.13865117, 0.14490413, 0.15504467, 0.15575221, 0.14164864,\n",
       "       0.13841161, 0.13245012, 0.13360494, 0.13328499, 0.13554118,\n",
       "       0.13663444, 0.14051949, 0.14202553, 0.14481332, 0.14962287,\n",
       "       0.15156264, 0.15259472, 0.15578216, 0.15520531, 0.15276355,\n",
       "       0.15313549, 0.14897256, 0.14596869, 0.14419136, 0.132161  ,\n",
       "       0.12740243, 0.10486876, 0.10097896, 0.09585091, 0.08629457,\n",
       "       0.06864612, 0.0569043 , 0.04939204, 0.04556907, 0.04021587,\n",
       "       0.03506957, 0.03372063, 0.03329576, 0.03337004, 0.03319444,\n",
       "       0.03412658, 0.03423332, 0.03447622, 0.03597054, 0.04206132,\n",
       "       0.05066445, 0.05518253, 0.05856092, 0.06137298, 0.06475307,\n",
       "       0.06833839, 0.07084104, 0.073577  , 0.08087851, 0.08972115,\n",
       "       0.10189576, 0.10709127, 0.11239728, 0.11882228, 0.12574193,\n",
       "       0.12850295, 0.12539808, 0.13434648, 0.14132117, 0.14818865,\n",
       "       0.15121273, 0.14126603, 0.13632386, 0.13299858, 0.130039  ,\n",
       "       0.12363364, 0.11085978, 0.09132241, 0.0765127 , 0.0697389 ,\n",
       "       0.06480141, 0.06477952, 0.05976987, 0.05521302, 0.05440888,\n",
       "       0.05554294, 0.05697923, 0.05646988, 0.05564135, 0.05472614,\n",
       "       0.05372709, 0.05277069, 0.05132281, 0.04977749, 0.04801977,\n",
       "       0.04750389, 0.04839476, 0.04873546, 0.04882328, 0.04668779,\n",
       "       0.04776998, 0.0530228 , 0.05648585, 0.06462127, 0.07196561,\n",
       "       0.0782343 , 0.08609092, 0.10588116, 0.12012111, 0.13084387,\n",
       "       0.14664505, 0.17101648, 0.20394676, 0.24518622, 0.26845978,\n",
       "       0.26276333, 0.2880536 , 0.28001029, 0.28534995, 0.30212941,\n",
       "       0.32630987, 0.34685695, 0.36433776, 0.35263779, 0.31130234,\n",
       "       0.28201964, 0.27599372, 0.36374592, 0.37247757, 0.38476172,\n",
       "       0.34142712, 0.33073162, 0.22673983, 0.26205019, 0.34806872,\n",
       "       0.33259156, 0.3223865 , 0.44227758, 0.43309569, 0.43536154,\n",
       "       0.50912077, 0.47591362, 0.40317065, 0.3397348 , 0.33087888,\n",
       "       0.30181043, 0.32684733, 0.37049347, 0.39736853, 0.53502761,\n",
       "       0.60407374, 0.47386867, 0.29346367, 0.4539328 ,        nan,\n",
       "              nan,        nan,        nan,        nan,        nan])\n",
       "Coordinates:\n",
       "    lat       (y) float32 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5\n",
       "    quantile  float64 0.25\n",
       "Dimensions without coordinates: y</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>y</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dede9fdb-3677-4751-974d-4d0ea69f1443' class='xr-array-in' type='checkbox' checked><label for='section-dede9fdb-3677-4751-974d-4d0ea69f1443' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... 0.4539 nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
       "              nan,        nan,        nan,        nan,        nan,\n",
       "              nan,        nan, 0.70191681, 0.48108852, 0.26104002,\n",
       "       0.21977334, 0.18661553, 0.16532092, 0.13419334, 0.14523583,\n",
       "       0.11623337, 0.13006614, 0.13214086, 0.12691387, 0.12727712,\n",
       "       0.13865117, 0.14490413, 0.15504467, 0.15575221, 0.14164864,\n",
       "       0.13841161, 0.13245012, 0.13360494, 0.13328499, 0.13554118,\n",
       "       0.13663444, 0.14051949, 0.14202553, 0.14481332, 0.14962287,\n",
       "       0.15156264, 0.15259472, 0.15578216, 0.15520531, 0.15276355,\n",
       "       0.15313549, 0.14897256, 0.14596869, 0.14419136, 0.132161  ,\n",
       "       0.12740243, 0.10486876, 0.10097896, 0.09585091, 0.08629457,\n",
       "       0.06864612, 0.0569043 , 0.04939204, 0.04556907, 0.04021587,\n",
       "       0.03506957, 0.03372063, 0.03329576, 0.03337004, 0.03319444,\n",
       "       0.03412658, 0.03423332, 0.03447622, 0.03597054, 0.04206132,\n",
       "       0.05066445, 0.05518253, 0.05856092, 0.06137298, 0.06475307,\n",
       "       0.06833839, 0.07084104, 0.073577  , 0.08087851, 0.08972115,\n",
       "       0.10189576, 0.10709127, 0.11239728, 0.11882228, 0.12574193,\n",
       "       0.12850295, 0.12539808, 0.13434648, 0.14132117, 0.14818865,\n",
       "       0.15121273, 0.14126603, 0.13632386, 0.13299858, 0.130039  ,\n",
       "       0.12363364, 0.11085978, 0.09132241, 0.0765127 , 0.0697389 ,\n",
       "       0.06480141, 0.06477952, 0.05976987, 0.05521302, 0.05440888,\n",
       "       0.05554294, 0.05697923, 0.05646988, 0.05564135, 0.05472614,\n",
       "       0.05372709, 0.05277069, 0.05132281, 0.04977749, 0.04801977,\n",
       "       0.04750389, 0.04839476, 0.04873546, 0.04882328, 0.04668779,\n",
       "       0.04776998, 0.0530228 , 0.05648585, 0.06462127, 0.07196561,\n",
       "       0.0782343 , 0.08609092, 0.10588116, 0.12012111, 0.13084387,\n",
       "       0.14664505, 0.17101648, 0.20394676, 0.24518622, 0.26845978,\n",
       "       0.26276333, 0.2880536 , 0.28001029, 0.28534995, 0.30212941,\n",
       "       0.32630987, 0.34685695, 0.36433776, 0.35263779, 0.31130234,\n",
       "       0.28201964, 0.27599372, 0.36374592, 0.37247757, 0.38476172,\n",
       "       0.34142712, 0.33073162, 0.22673983, 0.26205019, 0.34806872,\n",
       "       0.33259156, 0.3223865 , 0.44227758, 0.43309569, 0.43536154,\n",
       "       0.50912077, 0.47591362, 0.40317065, 0.3397348 , 0.33087888,\n",
       "       0.30181043, 0.32684733, 0.37049347, 0.39736853, 0.53502761,\n",
       "       0.60407374, 0.47386867, 0.29346367, 0.4539328 ,        nan,\n",
       "              nan,        nan,        nan,        nan,        nan])</pre></div></div></li><li class='xr-section-item'><input id='section-f72933a7-c182-425b-9dd4-6931a7ed67f3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f72933a7-c182-425b-9dd4-6931a7ed67f3' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-59554cc0-831c-4743-94b1-9310bca69a05' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-59554cc0-831c-4743-94b1-9310bca69a05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c3fbf27-435a-4a2d-8852-91d8fb26bfbc' class='xr-var-data-in' type='checkbox'><label for='data-3c3fbf27-435a-4a2d-8852-91d8fb26bfbc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5,\n",
       "       -80.5, -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5,\n",
       "       -71.5, -70.5, -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5,\n",
       "       -62.5, -61.5, -60.5, -59.5, -58.5, -57.5, -56.5, -55.5, -54.5,\n",
       "       -53.5, -52.5, -51.5, -50.5, -49.5, -48.5, -47.5, -46.5, -45.5,\n",
       "       -44.5, -43.5, -42.5, -41.5, -40.5, -39.5, -38.5, -37.5, -36.5,\n",
       "       -35.5, -34.5, -33.5, -32.5, -31.5, -30.5, -29.5, -28.5, -27.5,\n",
       "       -26.5, -25.5, -24.5, -23.5, -22.5, -21.5, -20.5, -19.5, -18.5,\n",
       "       -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5,  -9.5,\n",
       "        -8.5,  -7.5,  -6.5,  -5.5,  -4.5,  -3.5,  -2.5,  -1.5,  -0.5,\n",
       "         0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,\n",
       "         9.5,  10.5,  11.5,  12.5,  13.5,  14.5,  15.5,  16.5,  17.5,\n",
       "        18.5,  19.5,  20.5,  21.5,  22.5,  23.5,  24.5,  25.5,  26.5,\n",
       "        27.5,  28.5,  29.5,  30.5,  31.5,  32.5,  33.5,  34.5,  35.5,\n",
       "        36.5,  37.5,  38.5,  39.5,  40.5,  41.5,  42.5,  43.5,  44.5,\n",
       "        45.5,  46.5,  47.5,  48.5,  49.5,  50.5,  51.5,  52.5,  53.5,\n",
       "        54.5,  55.5,  56.5,  57.5,  58.5,  59.5,  60.5,  61.5,  62.5,\n",
       "        63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,  70.5,  71.5,\n",
       "        72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,  80.5,\n",
       "        81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quantile</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.25</div><input id='attrs-cb32bab0-ab36-4cb2-aec1-b9ec09cc60f5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cb32bab0-ab36-4cb2-aec1-b9ec09cc60f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45b6f726-ec43-4655-a9f8-bc67b499ec89' class='xr-var-data-in' type='checkbox'><label for='data-45b6f726-ec43-4655-a9f8-bc67b499ec89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.25)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-18e11607-3172-4f9d-9022-e485924d221a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-18e11607-3172-4f9d-9022-e485924d221a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (y: 180)>\n",
       "array([       nan,        nan,        nan,        nan,        nan,\n",
       "              nan,        nan,        nan,        nan,        nan,\n",
       "              nan,        nan, 0.70191681, 0.48108852, 0.26104002,\n",
       "       0.21977334, 0.18661553, 0.16532092, 0.13419334, 0.14523583,\n",
       "       0.11623337, 0.13006614, 0.13214086, 0.12691387, 0.12727712,\n",
       "       0.13865117, 0.14490413, 0.15504467, 0.15575221, 0.14164864,\n",
       "       0.13841161, 0.13245012, 0.13360494, 0.13328499, 0.13554118,\n",
       "       0.13663444, 0.14051949, 0.14202553, 0.14481332, 0.14962287,\n",
       "       0.15156264, 0.15259472, 0.15578216, 0.15520531, 0.15276355,\n",
       "       0.15313549, 0.14897256, 0.14596869, 0.14419136, 0.132161  ,\n",
       "       0.12740243, 0.10486876, 0.10097896, 0.09585091, 0.08629457,\n",
       "       0.06864612, 0.0569043 , 0.04939204, 0.04556907, 0.04021587,\n",
       "       0.03506957, 0.03372063, 0.03329576, 0.03337004, 0.03319444,\n",
       "       0.03412658, 0.03423332, 0.03447622, 0.03597054, 0.04206132,\n",
       "       0.05066445, 0.05518253, 0.05856092, 0.06137298, 0.06475307,\n",
       "       0.06833839, 0.07084104, 0.073577  , 0.08087851, 0.08972115,\n",
       "       0.10189576, 0.10709127, 0.11239728, 0.11882228, 0.12574193,\n",
       "       0.12850295, 0.12539808, 0.13434648, 0.14132117, 0.14818865,\n",
       "       0.15121273, 0.14126603, 0.13632386, 0.13299858, 0.130039  ,\n",
       "       0.12363364, 0.11085978, 0.09132241, 0.0765127 , 0.0697389 ,\n",
       "       0.06480141, 0.06477952, 0.05976987, 0.05521302, 0.05440888,\n",
       "       0.05554294, 0.05697923, 0.05646988, 0.05564135, 0.05472614,\n",
       "       0.05372709, 0.05277069, 0.05132281, 0.04977749, 0.04801977,\n",
       "       0.04750389, 0.04839476, 0.04873546, 0.04882328, 0.04668779,\n",
       "       0.04776998, 0.0530228 , 0.05648585, 0.06462127, 0.07196561,\n",
       "       0.0782343 , 0.08609092, 0.10588116, 0.12012111, 0.13084387,\n",
       "       0.14664505, 0.17101648, 0.20394676, 0.24518622, 0.26845978,\n",
       "       0.26276333, 0.2880536 , 0.28001029, 0.28534995, 0.30212941,\n",
       "       0.32630987, 0.34685695, 0.36433776, 0.35263779, 0.31130234,\n",
       "       0.28201964, 0.27599372, 0.36374592, 0.37247757, 0.38476172,\n",
       "       0.34142712, 0.33073162, 0.22673983, 0.26205019, 0.34806872,\n",
       "       0.33259156, 0.3223865 , 0.44227758, 0.43309569, 0.43536154,\n",
       "       0.50912077, 0.47591362, 0.40317065, 0.3397348 , 0.33087888,\n",
       "       0.30181043, 0.32684733, 0.37049347, 0.39736853, 0.53502761,\n",
       "       0.60407374, 0.47386867, 0.29346367, 0.4539328 ,        nan,\n",
       "              nan,        nan,        nan,        nan,        nan])\n",
       "Coordinates:\n",
       "    lat       (y) float32 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5\n",
       "    quantile  float64 0.25\n",
       "Dimensions without coordinates: y"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#x = tmod_3G83_ar.groupby('time.year').mean('time').mean(dim = 'x')\n",
    "q25 = obs_clim_ar.quantile(0.25, dim = 'x').quantile(0.25, dim = 'time')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "208a6ab6-1a96-4e15-b571-1878820a25bd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(12, 180, 360)"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.shape(tmod_3G84)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "fc516e5d-07eb-4f94-99dc-025619f4b2c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "times = pd.date_range(f\"{1960}/01/01\",f\"{1961}/01/01\",freq='M',closed='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "195aea1e-e3d2-4751-b587-207cfc1f2a45",
   "metadata": {},
   "outputs": [],
   "source": [
    "tmod_3G84_ar = xr.DataArray(\n",
    "    data=tmod_3G84,\n",
    "    dims=[\"time\", \"y\", \"x\"],\n",
    "    coords=dict(\n",
    "        lon=([\"x\",], lon),\n",
    "        lat=([\"y\"], lat),\n",
    "        time=times,\n",
    "    ),\n",
    "    attrs=dict(\n",
    "        description=\"Ambient temperature.\",\n",
    "        units=\"degC\",\n",
    "    ),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "e50b417c-b718-42f5-ba24-8b28cf793d66",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x582.48 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tmod_3G84_ar.mean(dim = 'x').mean(dim = 'time')\n",
    "\n",
    "\n",
    "modnam = ['TOM12_RW_3G76','TOM12_RW_3G72', 'TOM12_RW_3G74', 'TOM12_RW_3G83', 'TOM12_RW_3G84']\n",
    "\n",
    "fact = 5\n",
    "fig, axs = plt.subplots(1,1, figsize=(1*fact, 1.618*fact), facecolor='w', edgecolor='k')\n",
    "\n",
    "axs.plot(tmod_3G84_ar.mean(dim = 'x').mean(dim = 'time'),tvar.lat, color = '#01665E', linewidth = 0.75)\n",
    "axs.plot(tmod_3G83_ar.mean(dim = 'x').mean(dim = 'time'),tvar.lat, color = '#01665E', linewidth = 0.75)\n",
    "axs.plot(tmod_3G74_ar.mean(dim = 'x').mean(dim = 'time'),tvar.lat, color = '#01665E', linewidth = 0.75)\n",
    "axs.plot(tmod_3G72_ar.mean(dim = 'x').mean(dim = 'time'),tvar.lat, color = '#01665E', linewidth = 0.75)\n",
    "axs.plot(tmod_3G76_ar.mean(dim = 'x').mean(dim = 'time'),tvar.lat, color = '#01665E', linewidth = 3)\n",
    "axs.plot(obs_clim_ar.mean(dim = 'x').mean(dim = 'time'),tvar.lat, color = '#BF812D', linewidth = 3)\n",
    "\n",
    "\n",
    "# axs.plot(tmod_3G84_ar.mean(dim = 'time').mean(dim = 'x'),tvar.lat, color = '#01665E', linewidth = 0.75)\n",
    "# axs.plot(tmod_3G83_ar.mean(dim = 'time').mean(dim = 'x'),tvar.lat, color = '#01665E', linewidth = 0.75)\n",
    "# axs.plot(tmod_3G74_ar.mean(dim = 'time').mean(dim = 'x'),tvar.lat, color = '#01665E', linewidth = 0.75)\n",
    "# axs.plot(tmod_3G72_ar.mean(dim = 'time').mean(dim = 'x'),tvar.lat, color = '#01665E', linewidth = 0.75)\n",
    "# axs.plot(tmod_3G76_ar.mean(dim = 'time').mean(dim = 'x'),tvar.lat, color = '#01665E', linewidth = 3)\n",
    "# axs.plot(obs_clim_ar.mean(dim = 'time').mean(dim = 'x'),tvar.lat, color = '#BF812D', linewidth = 3)\n",
    "\n",
    "\n",
    "axs.fill_betweenx(tvar.lat, obs_clim_ar.quantile(0.25, dim = 'x').quantile(0.25, dim = 'time'),\\\n",
    "                  obs_clim_ar.quantile(0.75, dim = 'x').quantile(0.75, dim = 'time'), color = 'grey', alpha = 0.75)\n",
    "# axs.plot(tvarmed/1e6, lat, linewidth = 3, color ='dimgrey', alpha = 0.5)\n",
    "# axs.fill_betweenx(lat, tvar25/1e6, tvar75/1e6, color = 'grey', alpha = 0.2)\n",
    "axs.set_xlabel('µg Chl/L')\n",
    "axs.set_ylabel('latitude')\n",
    "axs.set_yticks(np.arange(-80,100,20))\n",
    "\n",
    "axs.set_title(f'latitudinally averaged surface Chl')\n",
    "axs.set_xlim([0,4.5])\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9e3f680e-6070-49d9-8a40-9c89a181c8f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "# tvar = ds['TCHL_CLIM'].groupby('TMONTH.year').mean('TMONTH')\n",
    "# print(np.shape(tvar))\n",
    "# tvarmed = np.nanmedian(tvar[0,:,:].values, axis = 1)\n",
    "# tvar25 = np.nanpercentile(tvar[0,:,:].values, 25,  axis = 1) \n",
    "# tvar75 = np.nanpercentile(tvar[0,:,:].values, 75,  axis = 1) \n",
    "# print(np.shape(tvar))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "3ce6f21f-53f7-4afd-acae-604a832c6a0c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "69.63485578884118\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2b655ec3bc90>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds = xr.open_dataset('/gpfs/home/vsz14eru/_obs/occciv5/climatology_OCCCIv5_monthly.nc', decode_times=False)\n",
    "times = pd.date_range(f\"{1960}/01/01\",f\"{1961}/01/01\",freq='M',closed='left')\n",
    "ds = ds.assign_coords(TMONTH=times)\n",
    "\n",
    "ds\n",
    "\n",
    "print(np.nanmax(ds['TCHL_CLIM'].values))\n",
    "plt.pcolormesh(ds['TCHL_CLIM'][3,:,:], vmin = 0, vmax = 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "c0987cd9-a1f0-43ff-a753-be934eca5e4d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<xarray.DataArray 'TChl' (month: 12, deptht: 1, lat: 180, lon: 360)>\n",
      "dask.array<stack, shape=(12, 1, 180, 360), dtype=float32, chunksize=(1, 1, 180, 360), chunktype=numpy.ndarray>\n",
      "Coordinates:\n",
      "  * lon      (lon) float32 0.5 1.5 2.5 3.5 4.5 ... 355.5 356.5 357.5 358.5 359.5\n",
      "  * lat      (lat) float32 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5\n",
      "  * deptht   (deptht) float32 4.999938\n",
      "  * month    (month) int64 1 2 3 4 5 6 7 8 9 10 11 12\n"
     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "47ac41a0-619c-4e07-ad9c-c79040634258",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TOM12_RW_3G76\n",
      "TOM12_RW_3G72\n",
      "TOM12_RW_3G74\n",
      "TOM12_RW_3G83\n",
      "TOM12_RW_3G84\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 582.48x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#https://www.rgbtohex.net/\n",
    "modnam = ['TOM12_RW_3G76','TOM12_RW_3G72', 'TOM12_RW_3G74', 'TOM12_RW_3G83', 'TOM12_RW_3G84']\n",
    "\n",
    "fact = 5\n",
    "fig, axs = plt.subplots(1,1, figsize=(1.618*fact, 1*fact), facecolor='w', edgecolor='k')\n",
    "\n",
    "for m in range(0, len(modnam)):\n",
    "    tmod = modnam[m]\n",
    "    print(tmod)\n",
    "    lat, tvar= get_weighted_latmean_regridded(yst, yen, dtype, tmod, var)\n",
    "    if tmod == 'TOM12_RW_3G76':\n",
    "        axs.plot(tvar, lat, linewidth = 3, color = '#01665E', ) \n",
    "    else:\n",
    "        axs.plot(tvar, lat, linewidth = 0.75, color = '#01665E', ) \n",
    "    \n",
    "    axs.plot(tvarmed/1e6, lat, linewidth = 3, color ='dimgrey', alpha = 0.5)\n",
    "    axs.fill_betweenx(lat, tvar25/1e6, tvar75/1e6, color = 'grey', alpha = 0.2)\n",
    "    axs.set_xlabel('g Chl/L')\n",
    "    axs.set_ylabel('latitude')\n",
    "    axs.set_yticks(np.arange(-80,100,20))\n",
    "    axs.grid()\n",
    "    axs.set_title(f'surface {longnam} \\n latitudinally averaged')\n",
    "    axs.set_xlim([0,5.5e-6])\n",
    "# axs.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dec73709-3f5b-4984-8d44-7e580cffce23",
   "metadata": {},
   "source": [
    "## put into a function and test for different variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a9da2753-71a6-497e-ac85-a48527873ff4",
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_summarylat(yst, yen, dtype, modnam, var):\n",
    "    fact = 5\n",
    "    fig, axs = plt.subplots(1,1, figsize=(1.618*fact, 1*fact), facecolor='w', edgecolor='k')\n",
    "\n",
    "    for m in range(0, len(modnam)):\n",
    "        tmod = modnam[m]\n",
    "        latmean, lats, units, longnam = get_weighted_latmean(yst, yen, dtype, tmod, var)\n",
    "        axs.plot(latmean, lats, label = tmod)#, color = '#01665E') \n",
    "        axs.set_xlabel(units)\n",
    "        axs.set_ylabel('latitude')\n",
    "        axs.set_yticks(np.arange(-80,100,20))\n",
    "        axs.grid()\n",
    "        axs.set_title(f'surface {longnam} \\n latitudinally averaged')\n",
    "    axs.legend()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67e70664-bc5a-4ad8-b21f-8b594d2f2fd2",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "9dc5befb-e5ad-44c0-b8f1-3d192efc2d22",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 582.48x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 582.48x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 582.48x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "yst = 1955; yen = 1960\n",
    "dtype =  'diad_T'\n",
    "var = 'TChl'\n",
    "modnam = ['TOM12_RW_3G76','TOM12_RW_3G72', 'TOM12_RW_3G74', 'TOM12_RW_3G83', 'TOM12_RW_3G84']\n",
    "\n",
    "make_summarylat(yst, yen, dtype, modnam, var)\n",
    "\n",
    "var = 'PPT'\n",
    "make_summarylat(yst, yen, dtype, modnam, var)\n",
    "\n",
    "var = 'DIC'\n",
    "dtype =  'ptrc_T'\n",
    "make_summarylat(yst, yen, dtype, modnam, var)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}