{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cmocean.cm as cm\n",
    "import h5py\n",
    "import matplotlib as mpl\n",
    "import matplotlib.colorbar as colorbar\n",
    "import matplotlib.colors as mplcolours\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import xarray as xr\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "mesh = xr.open_dataset('~/MEOPAR/grid/mesh_mask201702.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "oildiesel1000 = pd.read_csv('/data/sallen/results/MIDOSS/ParticleNoTests/SB_1000_diesel/new11/resOilOutput.sro', sep='\\s+', skiprows=4)\n",
    "oildiesel1000 = oildiesel1000.drop([0], axis=0)\n",
    "length =len(oildiesel1000)\n",
    "oildiesel1000 = oildiesel1000.drop([length-3, length-2, length-1, length], axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(15,5))\n",
    "oildiesel1000.Area.plot(ax=ax);\n",
    "plt.grid();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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0/a/Zv/LS8ZfoHdKbfpX7lWNlFdPlxkPKl8bDXjQe9qLxsBeNh71oPOxF42E/BWPSvXv3ONM0213p9mUJaO2A74Aupml+bxjGP4Hzpmn+5WLbtGvXzty6deuV1uJyMTExREZGXrLN5LWT2frbVlbdv4pA78DyKayCKst4SPnReNiLxsNeNB72ovGwF42HvWg87KdgTAzDuKqAVpbvoB0Fjpqm+X3+/WVAmyvdkV09FPYQ57POs2z/MqtLERERERGRCu6yAc00zV+BI4ZhNMlf1IO8wx1vCOGh4XSo1YHFuxeTlZtldTkiIiIiIlKBlfUsjn8AlhiGsROIAF52X0nl76GWD3Ey/SQrDq+wuhQREREREanAyhTQTNPcbppmO9M0w03TvM80zRvqtIedb+rMbZVvY0nCEi73nTwRERERERF3KesM2g3NMAxGNxvNvrP7iPstzupyRERERESkglJAy9e3QV9CfENYkrDE6lJERERERKSC8rK6ALvw9/Ln/kb3s3D3Qo6nHuemoJusLkncKDvXQXauw+oyLJWZY3IhK8fqMiSfxsNeNB72ovGwF42HtXJysjl54gRZmZmYmFQKCWH3nhvm/H1XxSDviDir+Pn5UbduXby9vV3SnwJaIcObDmfR7kUs3buUP7b7o9XliAvlOkx2HUvm24On+fbgabb+fJasnIod0ABY87XVFUhhGg970XjYi8bDXjQelvlT12q0aXgTXsFVMAwDLyDX6qIsVr96IMF+rglHV8o0TZKSkjh69Cj169d3SZ8KaIXUCqxFj1t6sOzAMia1mkSAd4DVJck1ME2T7UfO8em2Y/x3x3HOXsgGoGmtYEZ3vJWalXwtrtBahw4fomGDhlaXIfk0Hvai8bAXjYe9aDys1arSBW6uHeqcMcrMzMTXt2K/p/H1su5bW4ZhUK1aNU6dOuWyPhXQihnVbBSrfl7FF4e/YGiToVaXI1fh1+QMPt56hE+3HePw6TR8vTy4p3lNeraoxe0Nq1E9qGL/I1YgxjxCZDf9B2sXGg970XjYi8bDXjQe1kpISKBGJX/n/RSyCQ72s7AicfXhlQpoxbSu0ZpmVZvxUcJHPND4AUuPZ5Wyy8l1sG7fKZZu+YV1+07iMKFj/apM6taQ3mG1qGTRtLeIiIiIyJXQWRyLMQyDUc1GcSj5EN+d+M7qcuQyklIzeXvdQe54dR0TF29l57FkJnVryPpnI4l+tDND29+scCYiIiLiQoZhMGbMGOf9nJwcQkND6d+/PwCLFi0iNDSU1q1b06hRI3r16sWmTZuc7WfMmMGaNWtcUktMTIxzv9eqXr16nD592iV9XQvNoJWid/3evB73Oh8lfETnmzpbXY6UYvfxZBZ9m8jnO46TlePgzkbVmTmwBT2a1cDbU587iIiIiLhLYGAg8fHxpKen4+/vz+rVq6lTp06RNsOGDWPu3LkArFu3jsGDB7Nu3TqaNWvGrFmzrCj7uqF3sqXw9fTlgcYPsP7oeo6cP2J1OZLPNE02HTrNmPe+p99bG/li5wkeaFuX1U935YOHOtK7ZS2FMxEREZFy0KdPH1asWAFAVFQUI0aMuGjb7t2788gjjzB//nwAxo0bx7JlywCYNm0azZs3Jzw8nClTpgDw8ccf07JlS1q1akXXrl0ByMjIYPz48YSFhdG6dWvWrVtXZB8Oh4N69epx7tw557LbbruN3377jVOnTjFkyBDat29P+/bt+fbbbwFISkqiZ8+etG7dmkcffRTTNF307FwbzaBdxNAmQ3lv13t8tPcjpnaYanU5FZppmqza8xv/ijnEjiPnqB7ky3O9mzCqw62EBOjwRREREamY/vrf3ew6chZPT0+X9dn8pkq8MKDFZdsNHz6cWbNm0b9/f3bu3MmECROIjY29aPs2bdrw73//u8iyM2fO8Omnn7J3714Mw3CGq1mzZvH1119Tp04d57K3334bgF27drF371569uzJ/v37nX15eHhw77338umnnzJ+/Hi+//576tWrR82aNRk5ciRPP/00d9xxB7/88gu9evUiISGBv/71r9xxxx3MmDGDFStWOAOk1TTdcBE1AmrQs15PPjv4GWnZaVaXUyGZpsmaPb/Rf85GHv0gjrNpWbw0qCUbp3bnscjbFM5ERERELBIeHk5iYiJRUVH07dv3su1Lm52qVKkSfn5+PPzwwyxfvpyAgLxLXHXp0oVx48bx7rvvkpubd5W3jRs3Or/31rRpU2699dYiAQ3yDquMjo4GYOnSpQwbNgyANWvW8MQTTxAREcHAgQM5f/48KSkpbNiwgdGjRwPQr18/qlSpcpXPhmtpBu0SRjUbxcqfVvL5wc8Z2Wyk1eVUGKZpsuHAaV5ftY8dR5O5tVoArw9txcBWN+GlQxhFREREAHhhQAtSUlIIDg62ZP8DBw5kypQpxMTEkJSUdMm227Zto1mzZkWWeXl5sWXLFr755huWLl3K3LlzWbt2LfPmzeP7779nxYoVREREsH379jIdfti5c2cOHjzIqVOn+Oyzz/jzn/8M5B3+uHnzZvz9/UtsY8cztuvd7iWEh4YTXj2cj/Z+hMN0WF1OhbD7eDKj3/uesQu2cDo1i/8dEs6aP3ZjcJu6CmciIiIiNjJhwgRmzJhBWFjYJdutX7+e+fPnM3HixCLLU1NTSU5Opm/fvrz55pts374dgEOHDtGxY0dmzZpF9erVOXLkCF27dmXJkiUA7N+/n19++YUmTZoU6c8wDAYNGsQf//hHmjVrRrVq1QDo2bOn84QlgHM/hfv88ssvOXv27DU8G66jGbTLGNlsJNNip/HtsW+5s+6dVpdzwzp+Lp3XVu3j023HqOzvzQsDmjOq4634WHhleBERERG5uLp16zJ58uRS10VHR7Nx40YuXLhA/fr1+eSTT0rMoKWkpHDvvfeSkZGBaZq88cYbADz77LMcOHAA0zTp0aMHrVq1omnTpkyaNImwsDC8vLxYtGgRvr6+JfY7bNgw2rdvz6JFi5zL3nrrLR5//HHCw8PJycmha9euzJs3jxdeeIERI0bQpk0bunXrxi233OK6J+caKKBdRs9be/KPrf9gScISBTQ3yMzJ5d0Nh5m77iAOEx7p2iDv+2X++n6ZiIiIiB2lpqaWWBYZGUlkZCSQd5bGcePGXXT7wuFpy5YtJdYvX768xDI/P78i25W2X4B27dqVOByyevXqzu+mFVatWjVWrVrlvF8QEK2mgHYZ3p7eDG0ylLe3v83h5MM0CGlgdUk3jJh9J5n5/3aTmHSBPi1r8XzfZtxcNcDqskRERERELKPjx8rggcYP4O3hTVRClNWl3BB+O5/BpA/iGLfwBzwMg8UTOvDO6LYKZyIiIiJS4WkGrQyq+VejT/0+fH7oc55s8yTBPtacKed6Z5om0T/8wosrEsjKcfBsryY8fGd9fL1cd+0OEREREZHrmWbQymhks5Gk56Tz6YFPrS7lunTkzAVe25rB1E920ax2Jb56qiuPd79N4UxEREREpBAFtDJqUa0FrWu0JmpvFLmOXKvLuW4UzJr1enMDh845ePG+liyd2In61QOtLk1ERERExHYU0K7AyGYjOZp6lNhjsVaXcl04k5bFpA/jmPrJLlrVrcxLd/gzutOteHjY74KAIiIiIiJ2oIB2BXrc0oMaATVYkrDE6lJsb8P+U/R+cwPr9p7iT32bseThjlTz18tNRERE5HpnGAZjxoxx3s/JySE0NJT+/fsDeafRDw0NJSIiwvmzZ88eq8ot1aJFizh+/PgVbZOYmEjLli3dVNHv9I75Cnh7eDOi6Qi+O/Edh84dsrocW8p1mLz29T4eXLCFEH9vPnu8CxO7NtCsmYiIiMgNIjAwkPj4eNLT0wFYvXo1derUKdJm2LBhbN++3fnTvHnzcq8zN/fiX0u6moBWXhTQrtCQRkPw8fDho4SPrC7Fdk6lZDLmve+Zu+4gw9rdzH//cAfNb6pkdVkiIiIi4mJ9+vRhxYoVAERFRTFixIjLbjNs2DBWrlzpvD9u3Dg++eQTEhMTufPOO2nTpg1t2rRh06ZNAMTExNC1a1cGDRpE8+bNmTRpEg6Hw7nPsLAwWrZsydSpU519BgUFMWPGDDp27MjmzZuZNWsW7du3p2XLljzyyCOYpsmyZcvYunUro0aNIiIigvT0dOLi4ujWrRtt27alV69enDhxAoC4uDhatWpF586defvtt132/F2KTrN/har4VaFfg3789/B/ebLNk4T4hlhdki1s+ekMT3z0I+czsvn7/eE80O5mq0sSERERubF9OQ3/Y9vA04Vv6WuFQZ9XLtts+PDhzJo1i/79+7Nz504mTJhAbOzv52mIjo5m48aNzvubN29m+PDhREdH07dvX7Kysvjmm2945513ME2T1atX4+fnx4EDBxgxYgRbt24FYMuWLezZs4dbb72V3r17s3z5cm6//XamTp1KXFwcVapUoWfPnnz22Wfcd999pKWl0bJlS2bNmgVA8+bNmTFjBgBjxozhiy++4P7772fu3Lm89tprtGvXjuzsbP7whz/w+eefExoaSnR0NH/6059YsGAB48ePZ86cOXTr1o1nn33Wdc/zJWgG7SrolPtFffjdz4x89zsCfb349LEuCmciIiIiN7jw8HASExOJioqib9++JdYXP8TR39+fPn36sHbtWjIzM/nyyy/p2rUr/v7+ZGdnM3HiRMLCwnjggQeKfF+tQ4cONGjQAE9PT0aMGMHGjRv54YcfiIyMJDQ0FC8vL0aNGsWGDRsA8PT0ZMiQIc7t161bR8eOHQkLC2Pt2rXs3r27RK379u0jPj6ee+65h4iICF588UWOHj1KcnIy586do1u3bgBFvnfnTppBuwpNqzalbc22RO2NYkzzMXh6VMxreWXnOvjbF3tYvPln7mpagzeHR1DJz9vqskREREQqhj6vkJ6SQnBwsCW7HzhwIFOmTCEmJoakpKTLtvfz8yMyMpKvv/6a6Oho52GRb7zxBjVr1mTHjh04HA78/Pyc2xhG0fMYGIaBaZqX3IenZ95784yMDB577DG2bt3KzTffzMyZM8nIyCixjWmatGjRgs2bNxdZfu7cuRL7Lw+aQbtKo5qN4njacWKOxlhdiiXOXchi3MItLN78M492bcC7D7ZTOBMRERGpQCZMmMCMGTMICwsr8zbDhw9n4cKFxMbG0qtXLwCSk5OpXbs2Hh4efPDBB0VO7rFlyxZ++uknHA4H0dHR3HHHHXTs2JH169dz+vRpcnNziYqKcs5yFVYQxqpXr05qairLli1zrgsODiYlJQWAJk2acOrUKWdAy87OZvfu3VSuXJmQkBDnoZpLlpTPmdwV0K5S95u7UzuwdoU8WcjPSWkM+tcmfvjpLH+/P5zpfZvhqbM0ioiIiFQodevWZfLkyaWui46OLnKa/YITf/Ts2ZMNGzZw99134+PjA8Bjjz3G+++/T6dOndi/fz+BgYHOfjp37sy0adNo2bIl9evXZ9CgQdSuXZvZs2fTvXt3WrVqRZs2bbj33ntL1FC5cmXnoZP33Xcf7du3d64bN24ckyZNIiIigtzcXJYtW8bUqVNp1apVkXoXLlzI448/TufOnfH393fZc3cpOsTxKnl5eDG86XDeiHuDfWf20aRqE6tLKhe7jiYzftEWchwmH03sSLt6Va0uSURERETKUWpqaollkZGRREZGAnnhZ9y4caVu6+3tXeJwyEaNGrFz507n/dmzZztvBwQEEB0dXaKfkSNHMnLkyMvW9uKLL/Liiy+WaDdkyJAi31WLiIhwfo+tsLZt27Jjxw7n/ZkzZ5byqFxLM2jXYEijIfh5+hG1N8rqUsrFhv2nGDZ/M75eniybdLvCmYiIiIiIiymgXYMQ3xD6NejHF4e/4FzGOavLcatPtx1lwqIfuLVaIMsfu53bagRZXZKIiIiI3MAiIyP54osvrC6j3CmgXaORzUaSmZvJJwc+sboUt/lgcyJPR++gfb2qRD/aiZqV/C67jYiIiIiIXDkFtGvUuEpjOtTqwNJ9S8lx5Fhdjsv9J/Ywf/l8N3c3q8HC8e11pkYRERERETdSQHOBUc1G8Wvar3zzyzdWl+JSb687yIsrEugbVot/jWqLn3fFvN6biNHMioAAACAASURBVIiIiEh5UUBzgW51u1E3qC4f7PnA6lJcwjRNXl+9n79/vY/7Im7ireGt8fHSS0VERERExN30rtsFPD08Gd18NDtO7WD7ye1Wl3PN5q49yFvfHGBou7r8Y2gEXp56mYiIiIhIHsMwGDNmjPN+Tk4OoaGh9O/f32X7yMrK4qmnnqJhw4Y0atSIe++9l6NHjzrX33777QAkJibSsmVLl+3XDvTO20UG3TaIYJ9gFu9ZbHUp1+Q/sYf5x+r9DG5Th1cGh+sC1CIiIiJSRGBgIPHx8aSnpwOwevVq6tSp49J9PP/886SkpLB//34OHDjAfffdx+DBgzFNE8B5IekbkQKaiwR4BzC08VC++eUbjqQcsbqcq/Lhdz/z4ooE+oXV5n+HhOOhcCYiIiIipejTpw8rVqwAICoqihEjRjjXbdmyhdtvv53WrVtz++23s2/fPgB2795Nhw4diIiIIDw8nAMHDpCWlka/fv1o1aoVLVu2JDo6mgsXLrBw4ULeeOMNPD3zzoEwfvx4fH19Wbt2LQBBQTfuJZ+8rC7gRjKy2Uje3/M+SxKWMK3DNKvLuSKfxB3lz5/F06NpDd4YpsMaRUREROzu1S2vsvvUbmeIcYWmVZsytcPUy7YbPnw4s2bNon///uzcuZMJEyYQGxub10fTpmzYsAEvLy/WrFnD888/zyeffMK8efOYPHkyo0aNIisri9zcXFauXMlNN93kDHvJyckcPHiQW265hUqVKhXZZ7t27di9ezc9evRw2eO1I70Ld6EaATXoU68Pyw8sJzkz2epyyuybhN94dtkO7ritOm+PaqMTgoiIiIjIJYWHh5OYmEhUVBR9+/Ytsi45OZkHHniAli1b8vTTT7N7924AOnfuzMsvv8yrr77Kzz//jL+/P2FhYaxZs4apU6cSGxtLSEgIpmliGCWP5LrY8huNZtBcbGyLsfz38H9Ztn8ZD4U9ZHU5l7X9yDme+GgbLeuE8O8xOpW+iIiIyPViaoeppKSkEBwcbMn+Bw4cyJQpU4iJiSEpKcm5/C9/+Qvdu3fn008/JTExkcjISABGjhxJx44dWbFiBb169eI///kPd911F3FxcaxcuZLp06fTs2dPnnnmGX7++ecSj+3HH39kwIAB5f0wy52mSlysSdUmdKzdkY8SPiI7N9vqci4p8XQaExb9QGiwLwvGtSfQV3ldRERERMpmwoQJzJgxg7CwsCLLk5OTnScNWbRokXP54cOHadCgAU8++SQDBw5k586dHD9+nICAAEaPHs2UKVP48ccfCQwMZOzYsfzxj38kNzcXgMWLF3PhwgXuuuuucnt8VlFAc4OxzcdyMv0kXyV+ZXUpF3U6NZOxC7cA8P6EDlQP8rW4IhERERG5ntStW5fJkyeXWP7cc88xffp0unTp4gxYANHR0bRs2ZKIiAj27t3Lgw8+yK5du5wnDnnppZf485//DMDs2bPx8/OjcePGNGrUiI8//phPP/1UhzjK1bmjzh3cVvk2FsQvoH+D/rZ7IaVn5fLQoh/47XwGURM7Ub96oNUliYiIiMh1IjU1tcSyyMhI56GMnTt3Zv/+/c51f/vb3wCYPn0606dPL7Jdr1696NWrV4n+fH19mTNnDnPmzLlkDfXq1SM+Pv6qHoddaQbNDQzDYELLCRw8d5DYY7FWl1OEaZpMWbaDnceSmTOiDa1vqWJ1SSIiIiIikk8BzU161+9N7cDavLfrPatLKWLO2oOs2HmCqb2bck/zmlaXIyIiIiIihSiguYm3hzdjW4zlx5M/su3kNqvLAeCr+BO8vno/g1vX4dGuDawuR0REREREilFAc6NBtw2ism9lFuxaYHUp7D6ezNPRO4i4uTIvDw6z3ffiRERERETkCgKaYRiehmFsMwzjC3cWdCMJ8A5gZNORxByN4eDZg5bVcSYti0cWxxHi7818XetMRERERMS2rmQGbTKQ4K5CblQjmo7A38ufhbsXWrL/XIfJ5KXbOJWSyfwH21Kjkp8ldYiIiIiIyOWVKaAZhlEX6Af8x73l3Hgq+1VmcKPBrDy8khOpJ8p9/3PWHiD2wGlmDmxBeN3K5b5/EREREbmxGIbBmDFjnPdzcnIIDQ2lf//+QN7FqUNDQ2ndujWNGjWiV69ebNq0ydl+xowZrFmzptzrLovExERatmxpaQ1lnUF7E3gOcLixlhvW2OZjAcp9Fm3D/lP885sDDG5ThxEdbi7XfYuIiIjIjSkwMJD4+HjS09MBWL16NXXq1CnSZtiwYWzbto0DBw4wbdo0Bg8eTEJC3sF4s2bN4u6773ZLbYUvjH29uuyFqg3D6A+cNE0zzjCMyEu0ewR4BKBmzZrExMS4qsarlpqaaos6ANoFtOPjvR/TIqUFIV4hbt9fUrqDFzalUyfQoFe1s6xfv97t+7wcO42HaDzsRuNhLxoPe9F42IvGw1ohISGkpKQ47+fm5ha5X1569OjBsmXLuO+++1i8eDGDBw9m06ZNpKSkkJGRQVZWlrOudu3aMXbsWObOncsrr7zCpEmT6N27N/fddx8vvPACK1euxMvLi7vuuouXXnqJSZMm4efnR0JCAidPnuTll1+mT58+5Obm8sILLxAbG0tWVhYTJ05kwoQJxMbG8sorr1CzZk127dpFTEwMY8eO5fjx4+Tm5vLcc88xZMgQtm3bxvPPP09aWhpVq1Zl3rx51KpVi23btvH444/j7+9P586dcTgcV/ycZmRkOP8urvVv5LIBDegCDDQMoy/gB1QyDOND0zRHF25kmuZ8YD5Au3btzIIriVspJiYGO9QB0OB8AwZ8NoD9Ift5tv2zbt1Xdq6Dof/eDB7ZLH60Cw1Cg9y6v7Ky03iIxsNuNB72ovGwF42HvWg8rJWQkEBwcDAAv778Mmnxu/HydN0J4HybNaXW889ftt2DDz7IrFmzeOCBB0hISODRRx9ly5YtBAcH4+fnh4+Pj7NOgM6dO/Pvf/+b4OBgvL298ff3Jzs7mxUrVrB3714Mw+DcuXPO9ceOHWPjxo0cOnSI7t27M3DgQKKioggNDeXHH38kMzOTLl26MHDgQAICAoiLiyM+Pp769evzySefcMstt/D1118DkJycjJ+fH9OmTePzzz8nNDSU6OhoZs+ezYIFC3jiiSeYO3cu3bp149lnn8XDw6NI7WXh5+dH69atgWv/G7nsIY6maU43TbOuaZr1gOHA2uLhTC7vlkq30K9+Pz7e/zFnMs64dV9vrN7Ptl/O8eqQcNuEMxERERG5cYSHh5OYmEhUVBR9+/a9bHvTNEssq1SpEn5+fjz88MMsX76cgIAA57qhQ4fi4eFBo0aNaNCgAXv37mXVqlUsXryYiIgIOnbsSFJSEgcOHACgQ4cO1K9fH4CwsDDWrFnD1KlTiY2NJSQkhH379hEfH88999xDREQEL774IkePHiU5OZlz587RrVs3gCLfrbNKWWbQxEUeDn+YLw5/weLdi3mq7VNu2cfmQ0m8s/4Qw9rdTL/w2m7Zh4iIiIhYr9bzz5OSknLFsz2uMnDgQKZMmUJMTAxJSUmXbLtt2zaaNWtWZJmXlxdbtmzhm2++YenSpcydO5e1a9cClLhmr2EYmKbJnDlz6NWrV5F1MTExBAYGOu83btyYuLg4Vq5cyfTp0+nZsyeDBg2iRYsWbN68uci2586ds931ga/oQtWmacaYptnfXcXc6BqENKBXvV5E7Y0iOTPZ5f2fu5DF09HbqV8tkBkDmru8fxERERGRAhMmTGDGjBmEhYVdst369euZP38+EydOLLI8NTWV5ORk+vbty5tvvsn27dud6z7++GMcDgeHDh3i8OHDNGnShF69evHOO++QnZ0NwP79+0lLSyuxv+PHjxMQEMDo0aOZMmUKP/74I02aNOHUqVPOgJadnc3u3bupXLkyISEhbNy4EYAlS5Zc03PiCppBK2cTwyfyVeJXfLDnA55o/YTL+jVNk+nLd5GUlsm7D3Yh0FdDKyIiIiLuU7duXSZPnlzquujoaDZu3MiFCxec3wsrPoOWkpLCvffeS0ZGBqZp8sYbbzjXNWnShG7duvHbb78xb94856GQiYmJtGnTBtM0CQ0N5bPPPiux7127djm/S+bt7c0777yDj48Py5Yt48knnyQ5OZmcnByeeuopWrRowcKFC5kwYQIBAQElZuesoHfx5axxlcbcfcvdfJTwEWNbjCXYxzVT0v+39Qhfxv/KtD5NCavr/rNEioiIiEjFlJqaWmJZZGSk88QY48aNY9y4cRfdftGiRc7bW7ZsKbVNly5digQ2AA8PD15++WVefvnli+4boFevXqUGrYiICDZs2FBiedu2bdmxY4fz/syZMy9ae3m4okMcxTUeCX+ElOwUPtzzoUv6+zkpjZn/bw+3N6zGI3c2cEmfIiIiIiJS/jSDZoFm1ZrR45YeLN6zmJHNRhLie/UzXg6HybPLduLlafCPoa3w8LDXlxxFRERERK5E4Rm2ikgzaBZ5LOIx0rLTWLR70TX18/7mRLb8dIa/9G9O7RB/l9QmIiIiIiLWUECzSOMqjeldvzdLEpaQlH7p05JeTOLpNF79ai/dm4TyQNu6Lq5QRERERETKmwKahR5r9RiZuZm8F//eFW/rcJg8t2wn3p4ezB4cbrvrN4iIiIiIyJVTQLNQvZB6DGw4kOi90fya9usVbbtoUyJbEs/wwoAW1Arxc1OFIiIiIiJSnhTQLDap1SQcOHh357tl3ubImQv879d7uatpDYa0qePG6kREREREijIMgzFjxjjv5+TkEBoaSv/+/YG8k3yEhoYSERFBixYtuP/++7lw4QIA8+bNY/HixZbUfb1QQLNYnaA6DGk0hOUHlnM05ehl25umyZ8+i8fLw4OXBrXUoY0iIiIiUq4CAwOJj48nPT0dgNWrV1OnTtFJg2HDhrF9+3Z2796Nj48P0dHRAEyaNIkHH3yw3Gu+niig2cDEsIl4enjy9va3L9v2vztPsGH/Kab0bKyzNoqIiIiIJfr06cOKFSsAiIqKYsSIEaW2y8nJIS0tjSpVqgB5F4F+7bXXANi+fTudOnUiPDycQYMGcfbs2fIp3uZ0HTQbqBlYk9HNRvNe/Hs82PxBmlVrVmq75AvZzPrvHsLrhjCmc73yLVJEREREbCX2//bzW2Iynp6eLuuz+s1B3Dm08WXbDR8+nFmzZtG/f3927tzJhAkTiI2Nda6Pjo5m48aNnDhxgsaNGzNgwIASfTz44IPMmTOHbt26MWPGDP7617/y5ptvuuyxXK80g2YTD4U9RGXfyvwj7h+Ypllqm1e+2svZC1m8PCgMT12QWkREREQsEh4eTmJiIlFRUfTt27fE+oJDHH/99VfCwsL4+9//XmR9cnIy586do1u3bgCMHTuWDRs2lEvtdqcZNJsI9gnm0fBHefWHV9l0fBNd6nQpsn5r4hmitvzCxDvr07JOiEVVioiIiIhd3Dm0MSkpKQQHB1uy/4EDBzJlyhRiYmJISir9ur6GYTBgwADmzJnDtGnTyrnC65Nm0GxkaJOh1Amqw+txr5PryHUuz8518Pynu6hT2Z+n7r78lLOIiIiIiLtNmDCBGTNmEBYWdsl2GzdupGHDhkWWhYSEUKVKFedhkR988IFzNq2i0wyajfh4+jC5zWSe2/AcK35awcCGAwF4f1Mi+39L5d0H2xHoqyETEREREevVrVuXyZMnl7qu4DtoDoeDunXrsmjRohJt3n//fSZNmsSFCxdo0KABCxcudHPF1we927eZXvV68f7u95mzbQ49b+3J+XR4c80BIpuEcnezGlaXJyIiIiIVXGpqaollkZGRREZGAjBu3DjGjRtX6rYzZ8503o6IiOC7775zQ4XXNx3iaDMehgfPtHuGX9N+5cOED/nfr/aRmZPLjP7Ndc0zEREREZEbnGbQbKh9rfZ0v7k783bMJ2lvII/cEUGD0CCryxIRERERETfTDJpNPdN2Cpk52YTctIo/3NXI6nJERERERKQcKKDZ1Pf7DTKT7iA3cCuHz++xuhwRERERESkHCmg2dD4jm//9ei8tAwYR6h/K7O9n4zAdVpclIiIiIiJupoBmQ/NiDnE6NYu/DmjL022fJj4pnv8e+q/VZYmIiIiIiJspoNnMsXPpvLfxJwa3rkNY3RD6NehHePVw3vzxTdKy06wuT0REREQqOE9PTyIiImjVqhVt2rRh06ZNLu1/5syZvPbaa1e9/aJFi3jiiSdcWFH5UkCzmX98vQ8TeKZXEyDvtPvTOkzjdPpp/rX9X9YWJyIiIiIVnr+/P9u3b2fHjh3Mnj2b6dOnW13SDUUBzUbijyWzfNsxHrqjPnUq+zuXh4WGMaTREJYkLGHfmX0WVigiIiIi8rvz589TpUoV5/2///3vtG/fnvDwcF544QXn8vvuu4+2bdvSokUL5s+f71z+1Vdf0aZNG1q1akWPHj2cy/fs2UNkZCQNGjTgrbfeci7/8MMP6dChAxERETz66KPk5uYCsHDhQho3bky3bt349ttv3fmQ3U7XQbMJ0zR5ccUeqgb68D+RDUusf7rt06w7so5Z383igz4f4GEoW4uIiIhUZOsWzefEoQN4enm6rM8atzag+7hHLtkmPT2diIgIMjIyOHHiBGvXrgVg1apVHDhwgC1btmCaJgMHDmTDhg107dqVBQsWULVqVdLT02nfvj1DhgzB4XAwceJENmzYQP369Tlz5oxzH3v37mXdunWkpKTQpEkT/ud//oeDBw8SHR3Nt99+i7e3N4899hhLlizhnnvu4YUXXiAuLo6QkBC6d+9O69atXfaclDcFNJtYu/ck3x0+w6x7W1DJz7vE+hDfEKa0m8LzG59n2f5lDG0y1IIqRURERKSiKzjEEWDz5s08+OCDxMfHs2rVKlatWuUMR6mpqRw4cICuXbvy1ltv8emnnwJw5MgRDhw4wKlTp+jatSv169cHoGrVqs599OvXD19fX3x9falRowa//fYb33zzDXFxcbRv3x7IC4o1atTg+++/JzIyktDQUACGDRvG/v37y+35cDUFNBvIyXUw+8u9NKgeyIgOt1y0Xf8G/fns4Ge8+eOb3HXLXVT3r16OVYqIiIiInXQf9wgpKSkEBwdbVkPnzp05ffo0p06dwjRNpk+fzqOPPlqkTUxMDGvWrGHz5s0EBAQQGRlJRkYGpmliGEap/fr6+jpve3p6kpOTg2majB07ltmzZxdp+9lnn120n+uRjpOzgeXbjnHwZCrP9W6Ct+fFh8QwDP7c6c9k5GTw2tarP7ONiIiIiIgr7N27l9zcXKpVq0avXr1YsGABqampABw7doyTJ0+SnJxMlSpVCAgIYO/evXz33XdAXrhbv349P/30E0CRQxxL06NHD5YtW8bJkyed7X/++Wc6duxITEwMSUlJZGdn8/HHH7vxEbufZtAslpmTyz/XHKBV3RB6tah12fb1Q+rzUNhDzNsxj3sb3kvnmzqXQ5UiIiIiInkKvoMGeedReP/99/H09KRnz54kJCTQuXPe+9OgoCA+/PBDevfuzbx58wgPD6dJkyZ06tQJgNDQUObPn8/gwYNxOBzUqFGD1atXX3S/zZs358UXX6Rnz544HA68vb15++236dSpEzNnzqRz587Url2bNm3aOE8ecj1SQLNY1Pe/cOxcOq8OCS/z1OzDYQ/z1U9f8dfNf2X5wOUEeAe4uUoRERERkTyXCj+TJ09m8uTJJZZ/+eWXpbbv06cPffr0KbJs5syZRe7Hx8c7bw8bNoxhw4aV6Gf8+PGMHz/+UmVfN3SIo4UuZOUwd91BOjeoRpfbqpV5O19PX2Z1mcXx1OO8EfeGGysUEREREZHypIBmoYXfJnI6NYspvZpc8RcbW9dozahmo1i6byk//PqDmyoUEREREZHypIBmkeQL2fx7/SHublaDtrdWufwGpXiyzZPcHHwzM76dwYXsCy6uUERERETsyDRNq0uQQlw9HgpoFpkfe4jzGTk807PJVffh7+XPrNtncTT1KHO2zXFhdSIiIiJiR35+fiQlJSmk2YRpmiQlJeHn5+eyPnWSEAucTs1kwcZEBra6iWa1K11TX+1qtWNE0xEsSVjC3bfeTduabV1UpYiIiIjYTd26dTl69CinTp0CICMjw6XhQK6cn58fdevWdVl/CmgWmL/hMJk5uTx1dyOX9PdUm6fYeGwjf9r4Jz4e8DHBPtZdrFBERERE3Mfb25v69es778fExNC6dWsLKxJX0yGO5ex0aiYfbP6ZeyPq0CA0yCV9BngHMPvO2fya9isvf/+yS/oUEREREZHyp4BWzt6NzZs9e+Ku21zab6vQVjza6lG+OPwFKw+vdGnfIiIiIiJSPhTQylFSaiaLN/3MwFY30dBFs2eFTQybSERoBC9+9yLHU4+7vH8REREREXEvBbRy9G7sT2Tk5PLEXa757llxXh5evHznyzhwMD12OrmOi1/lXURERERE7EcBrZycScti8eZEBoTfxG01XD97VuDm4Jt5vuPz/HjyR97d9a7b9iMiIiIiIq6ngFZO3o09THp2Lk/2cO13z0ozoMEA+jXoxzs73uH7E9+7fX8iIiIiIuIaCmjl4GxaFos3JdI//CZuq+H+U+AbhsGMTjOoV6kez214jpMXTrp9nyIiIiIicu0U0MrBok2JpGXl8gcXn7nxUgK8A3g98nXSc9J5bsNz5Dhyym3fIiIiIiJydRTQ3Cw1M4dFmxK5p3lNGtcs3wtIN6zckL90+gtxv8Uxd9vcct23iIiIiIhcOQU0N4v6/heS07N5LLKhJfsf0HAA9ze+n/fi3yPmSIwlNYiIiIiISNkooLlRRnYu78Ye5vaG1Wh9SxXL6pjWYRrNqzVnWuw0Dp07ZFkdIiIiIiJyaQpobvTJj0c5mZLJ493L77tnpfH19OWf3f+Jn6cfT659kuTMZEvrERERERGR0l02oBmGcbNhGOsMw0gwDGO3YRiTy6Ow611OroN/rz9Mq5src3vDalaXQ63AWrzZ/U1OpJ3g2fXP6qQhIiIiIiI2VJYZtBzgGdM0mwGdgMcNw2ju3rKufyt2neCXMxd4LLIhhmFYXQ4AETUi+Eunv7D5xGb+sfUfVpcjIiIiIiLFeF2ugWmaJ4AT+bdTDMNIAOoAe9xc23XL4TD517pDNKoRxD3NarpnJ6YJudmQmwWObMjNATMXTAc48n+buXntCi0bFHwb+27pyYcJH3Kb6c2Qm+4oto2jUD/F7psmYOb/ptBt8/eaCtdXZLlJzV/3wPYTF+njYv1d7DYX6UPKqs7RA/DdXqvLkHwaD3vReNiLxsNeNB72ovEAmvaFyrdYXYXLXDagFWYYRj2gNfC9O4q57pgmZKVBVipkpkJWCmSmsuvwUZqc2sXY9jXx+GEf5KRDTiZkp0NORt5Pdkax5Zl5YSs3Cxw5eeGrIHg58oOY83Z2Xmi6SlOAxJqh/C1hATViXuXO9AzXPSeX0Ayggv/7YSeNAA5aXYUU0HjYi8bDXjQe9qLxsBeNB1DtthsqoBlmGWceDMMIAtYDL5mmubyU9Y8AjwDUrFmz7dKlS11Z51VJTU0lKCjo0o1MB145qXhnp+KdnYJXTgre2efxzk4pdD/vxzP3Al456XjmFvxkYFD2mRuH4YXDwxuHh0+Rn1xPHxwe3piGF6bhhcPDC9PwzL/tWWh5wW3PUtuBR/59I/+2gWl4OG/n/c77STdz+FvGKk44zvOngL7U96rhXA9GfjujxLLf5R22aToP3/z9t2kUbvP78rQLFwgIDCzWvqCPwoeBGoX6Ld538eUFdRTtUy4vLS2NQOd4iNU0Hvai8bAXjYe9aDzsReMBuZ5+mB7eVpfhVJBBunfvHmeaZrsr3b5MAc0wDG/gC+Br0zRfv1z7du3amVu3br3SWlwuJiaGyMjIkiuyLsDigZB0ENLPwcVCluEJ/lUgoGreb99K4BsEPkHgG5z/u+j9g8nw1GeHGNutBQ90bgxe/uDlC15+4HlFE5Zud+rCKUavHE1GbgYf9v2Qm4Nvduv+LjoeYgmNh71oPOxF42EvGg970XjYi8bDfgrGxDCMqwpol00MRt4ZLt4DEsoSzq4L536Goz9Ao55QOyI/gFUt9LtK3m/fSuBxZVcieGPJj/zs60mf7l3B116BrLjQgFDeufsdxnw5hsfWPMYHfT6gsl9lq8sSEREREamwypIgugBjgF2GYWzPX/a8aZor3VeWm6Wfzfvd+XFoEOmybn9JusCX8Sd4pGtDgmwezgo0qNyAOXfNYeKqiTyx9gn+0/M/+Hn5WV2WiIiIiEiFdNnpIdM0N5qmaZimGW6aZkT+z/UbzuD3gObi2aL/bDyMp4fB+C71XNqvu7Wp2YZXur7CzlM7mRY7jVzH1Z+ARERERERErt6VHb93oygIaP5VXNblmbQs/m/rEe6LqEPNStffDNQ9t97Dc+2f45tfvuHVH16lrCePERERERER17k+jsNzNTcEtA82/0xGtoNHujZwWZ/lbXTz0ZxIO8HiPYupHVib8S3HW12SiIiIiEiFUkED2rm8MzT6Bruku4zsXBZvTuSupjVoVNM1fVrlmXbP8NuF33g97nWq+1dnQMMBVpckIiIiIlJhVNCAdjZv9sxwzXWzPtt2jKS0LCbeef3OnhXwMDx46Y6XOJdxjj9/+2d8PH3oVa+X1WWJiIiIiFQIFfc7aP6uOUGIaZos+PYnmteuRKcGVV3Sp9V8PX156663iAiNYNqGaaz9Za3VJYmIiIiIVAgVOKC55vtnsQdOs/+3VB66oz6Gi2bk7CDAO4C3e7xN82rNeWb9M8QejbW6JBERERGRG54C2jVa8O1PhAb70r9VbZf0ZydBPkG8c887NKrciKfWPcW3x761uiQRERERkRuaAto1OHgyhZh9pxjT6VZ8vTxdUJj9VPKpxPx75lM/pD5PrH2CrxK/srokERERCrhp1wAAIABJREFUEZEbVsUMaBnnXBLQFnybiI+XB6M63uKCouyrsl9lFvReQHj1cJ5b/xz/t+//rC5JREREROSGVPECmiMXMpKvOaCdTcti+Y9HGRRRh2pBvi4qzr4q+VRi3j3zuLPunfztu7/x7s53dTFrEREREREXq3gBLSM577fftZ3F8aMtv5Dx/9u79yg5qnpf4N9fVfV7piczeRvIAwUEFHnGKwii8hIRRI7iAwXxEbk+cLnWUZB7PMDRpYJ4gteDHEwAuVc8cuSi8cgReRglaCBAeAU0IEnMO5DMTM9MTz+qat8/dlV1dU/3ZGYyM9Uz/f2s1amqvXdV/aor1V2/3jVVZReXvX3JOAQ1NaSsFJa/cznOPeRc/GD9D/Ctx74F27WjDouIiIiIaNpoveegDXbr4QH0oJUdF3f+eTPe/oZZOHze1H4w9WjFjBi+9fZvYXZqNm7fcDu29m3FDe+4Adl4NurQiIiIiIimvNbrQRuHBO2+53Zid66IT7VQ71mYIQa+csJXcN1J1+HxnY/j4vsuxtbc1qjDIiIiIiKa8lowQevRwzEmaEoprFyzCYfMzuAdh80ex8CmngsOvQC3nnkr9hX24aP3fRSP73w86pCIiIiIiKa0FkzQDqwH7ckt3Xh2Wy8+efISGMb0eTD1WJ0470Tcdc5d6Ep24TMPfAYrnlsBV7lRh0VERERENCW1cII2tpuErFyzCR2pGC48bsE4BjW1LcwuxF3vvQtnLjoTNz11E674/RXIlXJRh0VERERENOW0boI2hrs4bt2Xx/0bduEjSxciHW+9+6sMJxPL4PpTr8eVS6/Emm1rcNGvL8KGvRuiDouIiIiIaEppzQQtkQXM0SdYP/nTZhgiuOSkRRMQ2NQnIvjYER/D7WffjrJbxsW/uRgrn1sJx3WiDo2IiIiIaEpozQRtDJc39hdt/HzdVpzz5vmY35GagMCmj2PmHIN7zrsH71z4Tix/ajk+88BnsGtgV9RhERERERE1vdZL0Ao9Y7pByH8+sRV9RbulHkx9IDoSHbjxHTfiupOuw/OvPY8PrPoA1vWvg1Iq6tCIiIiIiJpW6yVog92j/vszx1W4/dHNOH5RJ445eGw3F2lFIoILDr0Av3jfL7CkYwnu3HsnvvjwF7F7YHfUoRERERERNaXWTNBG2YP24Iu78fd9eVx2MnvPxmJhdiHuPPtOXNB5AR7b+Rje/6v3456N97A3jYiIiIioBhO0EbhtzSYsmJHCWUfNnaCgpj/TMPGu7Ltwz3n34IiZR+CaP1+DT/3uU9jUuynq0IiIiIiImkZrJWhKjTpBe357Lx7btA+XnLQIltlab9dEWJhdiBVnrsA33vYN/GXfX3Dhqgvxo6d/hJJTijo0IiIiIqLItVbGURoAXHtUCdptazYhHTdx0YkLJzCw1mKIgQ8e9kGsev8qnL7odNz8zM24cNWFWLdrXdShERERERFFqrUSNP8h1SNM0PbkCvj1szvwoRMORkcqNoGBtaZZqVm4/tTrccvpt6DslnHZ/Zfh6jVXo7vQHXVoRERERESRaNEEbWR3Yvw/a7fAdhUuPWnxxMVEOHnBybj3/Hvx6Td/Gve9ch/O++V5+OXLv+RNRIiIiIio5bRogrb/HrRC2cFPH/s73v3GuVg8KzPBgVHKSuGK467A3e+7G4uzi/FPj/4TvvjwF9Fb7I06NCIiIiKiScMErYFfrt+OfQMlXPb2xRMbE1U5tPNQ/OQ9P8HXTvwaHt3xKC76r4vwwt4Xog6LiIiIiGhSMEGrQymF2x7dhCPmZ/G2Q2ZOQmAUZoiBi4+8GHecfQds18bH7/s4frHxF7zkkYiIiIimvdZK0Ao9erifBO2PL72Gjbv7cdnJiyEikxAY1fOW2W/B3e+7G8fPPR7X/vla3PzMzVGHREREREQ0oVorQRvsBswEEEsN22zFI69gTnsC5x3zukkKjBrpSnbhR6f/COe//nzc8swteHDLg1GHREREREQ0YVovQdtP79kLO3J45KXXcOnJi5GwzEkKjIZjGia+8bZv4OhZR+Pra76Ol7tfjjokIiIiIqIJwQStxoo1ryAdN/GxpYsmKSgaibgZx/dP+z7SVhpfXv1l5Eq5qEMiIiIiIhp3LZag9QyboO3qLWDV096DqdN8MHWzmZuZi++f9n1s79uOK/94JRzXiTokIiIiIqJxZUUdwKQa7AZmNO4Zu+NPm+EqhU+9fckkBkWjcdzc43Dl0ivxzce+ids33I5Pv/nTI5rP3rsX9p49UMUi3GIJqlSEWBYkmYSRSsFIJiGhocRivEEMEREREU26FkvQeoD5b6lb1V+08dPHtuA9b5qPg7vSkxwYjcaHDv8Q1u5ci39/5t9xzpJz8Lq2xjdzUbaNvStvw2s//CFUuTzylRgGjEwGRlsbzLYMjEwbjDb/lYHZ1g6zIwuzsxPmjE5vOANm5wxYM2ZA4vFx2FIiIiIiajUtlqA1/hu0n6/bir6CjU+fwt6zZici+OqJX8WjOx7F9euux/J3Lq/brrBxI3Z+/WoUnn8e7Wedhey579U9ZPEEJB4DHAfuYAFuYRCqUICbH4QqDOqywUG4+Tzc/n79GuiHk8uhvGMH3P5+OP39UPl8wxiNTAZGJgOJxyGJBCQRhxFPBOMSr542Egnd1i+Lx2rK4hArBolZEMsCTLMybZqApcv9F0wLEo9BYnEY8RjAHkEiIiIaAaUUoBQUFKC8aSjogV/u1Xnj+lG1yps3XK78hQbjjZY/3Lpql18ZV1AAOmbPQTw1fTpYWidBs4tAeQBIzRha5bi4bc0mLF3chWMXDn8TEWoO89vm47NHfxY3PXUTHtn2CE456JSq+r0rb8Ory5fDaGvDguX/iuzZZ497DKpUgt3TA6e7B053N5yeHjg93cG4mx+EKnmXVBaL+vLKUhFud15Pl0pwS0WoYgmqUIAqlUbXyzcaIvqyzXg8eM10HPytI6unYzH9Mv2Ez9TjlqmTPdPUyV9ofv3SSaAexqrnsfxxb16zulxiMS8ZTcDwkladsHqJKRNKIqKWpZSCUi6U68J1HD0MjfvTUAqu60K5Ts20W9UumFahaaVC9U7NdJ35ldLtvPG67VSj9VbiHLru2mVU1uOG2tZbh3IV+vpy2Pzru+svV9VuQ+i9c0Pb4CddU9SFV12LxcccH3UY46Z1ErTBxg+pXvXMDmzvGcQ15x01yUHRgbjkyEvwq5d/hW8//m0snb8UCTMBAOi++27sueEGtJ9xBuZdew2srq4JWb/E44jNmYPYnDnjtkzlulDlsk7W/CTOG6qyDdhlKNuGsh1vWAbqTttQpTJUuVRZXqkE1xuqUhl9W7ci0dkZ1CnHgXJsvV5vHLajx+0yULbhlvW8/jxwJu5GLZJMwkinK69UCkYmDQmXpTO6PJ2GkUlXtZdUSteHyiWRYOJHRA0FSYDrVJ28uq4z9MRfDXMi3+CEvPH8Iz8hb3xCX0lSaufHGGINlhEkSl7PhqvQ29uD7Q+s0nEr3QYN5tPn/X5MKjReaQ/vPXZdF8pxgtimKjEMGIYBEQNiGME0/HLDgIhU2oXaNpw2dHsrZgESLjdQhKBrzpxgWkS8ejOYN9y+atkiup0A3j96ANHflwIIRP/Q639/hsZ1G4FUlcvQ5YmEllO9/OHWVbv8RuuavfiQSdm3k6WFErRuPaxJ0BxX4Ye/fxlvnNeO048YvxNtmngxM4arll6FZQ8uwx3P34Flb1mG/Pr12PUv30TmlFOwYPm/6l6bKUQMA5JIAIkE0N4+oevauHo1jjvttANahnKc6gTPtnWC6I87Tv1yL4l0i14PYrGok8lipcfRLejLTFU+ry83zXuXne7d503rlxocHHnAhlFJ6NJpiJ+8paqTOyOd1n9/2JGFmc3CaM9Wxjs6YLa360tJiaawqh6K0IlxpbfCGzq6zLXLcGwbjm3D9YaOU66etsveuAOo0Al76IQcQVn4pN+F4zh6PY7trdOGaztwXQe7du5A7qk/eXHYVT0m4WSjtneldtwNJ0GuA9cJbbeXhE1VjU7oxTBDJ+JGw+QhOFEPzyteeXDCL4AYMOMJJNvag7og4fDaw6jMF24Dv40hlfaGPsk2TL1uwzSD5MLwpitxmjXbWD1evS31t12kdh4Jljs0cTKHJlIjWM9kW716NU47wO9zai6tc4ZRqN+D9pvnduKVVwdw88eO4y/rU9BJC07CGYvOwIrnVuCc7P9A4UtXIDZ/PhZ874Ypl5xNRWKakFQKSKUii0F5f0uoBvNViZubz8Md8IahOlVbl8/D6enRf18Y1A0Atj3seo1MBkZHFma2A2ZWJ3BGNgvTT+ZmzIDZ2QWzsxNWVyfMri6YHR1M7KY4pRQc24ZdKsIpl2GXirBLpepXuQi7VF3n2OVQ8mKHEh0vwQklFkFvhqpMh3s+gvpQYqHqJlbO0OSrpq5piMA0TRimpU/Qg5cFwzJRKBSxrzBYKTPDJ/AWzFj4xH7oSXhwwm8alRNqM1xuVo3XS1r8BKUqWRgm6RFDYEh1L8ZYekyC5GE/PS6TiQkB0cRqnTMFvwctWfkbNNdV+OHDL+HQOW04+6h5EQVGB+qrJ34Va7c8gpf/5zLMHyhj8coVMDs6og6LJomYJsy2DNCWGdfluoUCnN4c3FwvnFxOj/fpoZPLwcn1wg3Gcyht3gwn1wcnl2vcqyeik7muLt0bF7ozaFt3D1599tngjqFme5vuuWtv8xK/dhjZLIxEYly3cypSSsF1bNilMpxyCXa5khwFSVO5HJQ7pRLsste2VNte11USLj3ds3cvNv/67iHLsMulA+tlEYFlxWBYFkzvZVixIOEIeiqCxCDUOxGqt2IWJJHQbb3kIuhdMGuGdcrDPRSN2obrDMOAYcVgxmKhuP1tiA2Z9pelr1aq9Jgg1Msihgy9dKoBJgRE1EpaL0EL9aD97oVd2Li7Hzd9+BgYBnvPpqp5mXn41rpDMG/Ts+j9xjIkDzss6pBoGjCSSRjJJDB39Jc+u6WSvmlMt3fTmH37YHd3w9nXDad7H+x93XBzObj9/Sjv3gW3fwCpnh689vvf7/fkX+JxGO3tQcJmtreHptthtmdhtLd5l2a2B4mg1dUFs6tr3H9pV66LUqGA0mAepcFBlAp5lPKDKJeKdS6Jq3OJ3H56lvy25WIBxfwAigMDKObzcJ3heziHJQIrFocVi8GKx2HG43o6HofplccyGcycN1/XefVmLAYrngjm069EpTzuLzMRzFNpY8GMxXTSQkRENIyWTdCUUvjBQy9jyawMzj268XO0qPl1//xuzHvwWTx8Wid+k/wd7nUuD24YQhQFIx6HMcobyKxevRrvOPVU/bd2A/rxDk4uB7evD06uT/fe9fXroT+d64Pb14fyzp1w+nJwc31QxWLjlVgWrNmzEZszB+bsWbA6ddJmzeyC2dkFty2DAbjoL5dQcG0UCwWU8johKuYHUBrUw2A6n0dxMD/mHiUxjDq9L7pHyfKGflk624HO+QuQSKcRT2cQTyQryZWfDIWTrHiskjwFiZKuMy2LPTZERNS0WitBEwNIZAEAD724By/szOGGfzgaJnvPpqz8U+ux65v6piDHXv0J3PLw5cENQ4imGjEMmG0Zfcnm3LljWoZbKnlJnU7uSt09GNizC327dmFgzy7k9+5FPteDwR2bUdi8EUXHRskyMBizUIoN/UoQAHHTRCwWRzyWQDyRQCaZQmfXbCQObkOirQ3J9iwS2Q4ku2Yi0d6OeCoVJEfVl8PFQgmZyd4kIiKiOlorQUvOAAwDSin874dfwsFdKbz/2AVRR0ZjVN69B9uu+FJwU5CFHR04c9GZ+PFzP8a5rz8XC9q4b2l60JcRDoYu8av0Yvk9WYWBfj3MD6CUH0C+txf93XuRz/XW7eGy0nGk5s9Gur0DM9JpLEil0Z7KIGPG0AZBrK8fsnM3nB3bYG/aBqe7e0SxlpJJOOHLL/3LLtPp6mfu+eMNhzXP2PPKDb8+lYLZ1gaJx8f77SYiIopUCyVoPcFDqu/fsBvPbOvFtz/wZsTMyb8dKh04t1TC9i99Ce5AHgtXrgxuCvKPJ/4jHtn+CL77+Hfxg3f9IOIoiQDXcTDYl0NhoB/lwUGdaA3m9figN14YxN9f2oj7nn8ySMJK+QEv2RrZZYRWLI54Oo1EOoNEJoNMZyfmvv4NaOvsQlvXTGRmdCKdnYFUtgPpjg7EEslR3blW3y1zEO7AQN2X098PN9fnXWoZugxzXzdKW7bAzeeBUhluuawfyD5OD2WXZFIngpmMfs5dMgEjnoAkk5BEHEYiqW+mkdQPRZdkAkYiAUl49cmkLg+NG8kErK1bUXxlk36IetJbRiIBjODySCIiogPRQglaN5DqRMl28e3/fhGHzmnDB48/KOqoaAyU62LXtddi8JlnsGD58qqbgszLzMOyo5dh+VPL8dDfH8K7F747wkhpOnFs20ue+lEcGEBhoD9IpgoD/Sj092GwL4d8rlcnZN54cWBgv8sWw4ARi6PU0YF4OoNkOoPsnHmYnU4jkcnopCt4pZFItwV/i5XMZBBPZ2DFYhO6/fpumW0w29rGZXnKdb0Hqocepj6KoZsfhNvfF/xdnjuQh1sqQhWKUMUinN5e/Xy9QkE/oL1Q8J6zVxzRA9ZnAnilXoVh6Ieox+NDk8CElxgmE9WJYSJU5ieI8URNb2HNy7IA786K8F5imoB3Z8egzjT1XRAtS9ebZmXIRJKIaEpqrQQt3YU7/7wZW/bmcccnT4TF3rMpx+npwfZ//CoGHnkEMy//HLJnnzWkzSeO/ATu33w/rvzjlbj59Jtx4rwTI4iUoqaUglMuo1ws6FehWBmvnS4UUC4M6qTLu4SwMOAlY3mdgNnD3XwDgGlZSGU7kGrPItWeRXbJG4LxdLYDiUwG8VQa8VQqGCZSacRSKVixOP7whz+01E0pxDD05YkRXKKobBtuoQhV8hK48HixBFUs4Lknn8KRb3gDVKkIt1DwHqhe0A9X99q7XjLoFguVxDCXg9pTqJSFEsRJfwiyn6xZln6//XHTBCxT37Y/VB/UmQbErEn4/PaWCXh1VZekhl/+5anh5NOydKLpP5jYG4d/+33/IcZVCakFiVkQy4K1ZQsKf/2rTkQtS8fg1QXTphHE7D8omYhoKmqpBK3YsQQ3PfQS3nHYbJx2+OhvnU3RGtywAdu/dAXsPXsw75prMOOiD9VtFzNjuOWMW3DZby/D5x/6PG4941YcM+eYSY6WhqOfY+XoW6yX9e3U7WJxaPJUKqJcKMAuFlD26wt+ktV42i4VUS4UodQoHsQrgqR3eWAi04ZkJoPM6w4KerCSmbagrno6g2S6DVYiwRPCKUIsC2abBaDxs/OKrouOcUyYlVK6B7BQ0Amf3yMYuuTTDZXBtqEcF1D6IdNw/aECXEfXeQ+dhuPXOVB2ZagcG3DC426lrGxDuU5lXkevTzk2YDu6znZ0nI4TvGDbuvezXIayvVhL5eptmQAzAWwa7UyhXsYg2aw3XSf5hGUOTVJN/XBoPW3o3szwUAzdxjBDw0ovqN92SJtQXe0QhlTa+omnPzTqz6OHNb2uNXXB++D3wtYuN/xehXtq+RlHNClGlKCJyNkAbgJgAlihlPrOhEY1EQa7sf5VIF9y8L/ee0TU0dAo2Hv3Iveb+7Dne9+DOXMmFv30/yJ19NHDztOV7MKPz/wxLv3tpbj8wcux4qwVOGrmUZMU8dgp1w2eDeU6DlxHn4C5rgvlOnBdNyhToXHXdbyEx3u+lOMEz5EKEiHbhms7wTOndrzyNzy6e6tetlLeMh1vXW7d5fllOj7dvhKfO8y4A8dxvGRMxzKW3gQxDMQSScQSiWBoJZOIJVNId3Tq8mTSq0sG01Y8XO7Nm6xuE4snxv0ZYUQ+EQl6DM1sNupwJoxSCihXJ2xB4qYUlKsA5eqEMzyulE4+/Wk/sbR1svrc00/jqDceEUzrOltPD0k4vWTUdXSd43pDJ0hu/Ta100ES6jiVZLVU0s/dc/y4veXVDpUbWm9tnaqanvTe1PHi9XbOAfAXL6ELeivHOm6I15vq96iGksigd1cn0VXJtFEv8R4mwR0yHCYprkpaQ20MqSTZ4TaynyS7NglucLlyJRn2lheuY3LcUvaboImICeDfAJwBYBuAdSKySin1wkQHN25cF6rQi3UDCh9duhCHzm2POqKWo798vS8/pfQXtTf0X05fH5zuHv2A372vIb/+aeTXrkXxpZcAAJmT3obX3XgjrM7O/axNm52ejZVnrcSlv70Uyx5YhqvfejVOWXAK2uJj+xuacqmIQn8fCn19GOzrQ2HAG+/vQ6G/D+Wi92Decjn0AF67KimprQse3lvWQ+WOosdnHOx8ci0M74tQRA/9acM0K8+mMivPqTK8aStmQYxE1TwiofGg3PSed2XqW6wHt173xr1pK54IJV46gbJqkqmRPL+qEf3/DVB6Qpf5/yjAcRRgO1XlKnwSFZq36txKAcqrrGruT/gDb6FBcU19qV+h99V8pW1tu1C5CoKps+w6MQSLqJm3Uq4q7wVC8wzzflUtp8H7VWe06k1qeI5aNW+DZQ5zfqsaVY5iuT2bFf762K66K6zenuFiGuW2NmjUeN4RLH9IXYN5Gr1lI4mppkmj91Y/tEEAGKNe7jbLRcxZDAigLDQ8e6mev8E+qzvj/hrsX8P/d3XWowDAdRF8cLj+d6KfuIZerj7olOtWklz4Ca03j4KX3Ppt/e9ZV6/Mm7fq+7dmuXXra7+vvXhzvTlks+1eLAi1QVW7ymdF+FVpo+qN18bi6m1QjgvYKkjkq5L62nMKV0Epx4ujpKfD73ldI/luOfAkSY050RKdIAt0Aif+tMBVCr/6t7XBdJAAQwD/UVJBnQEYAGAEZf5yJbyNAqigUPxBJY6quFBZx5DyUH1o2UPKw/P665TQPFXth673uH94C+a/9fD9v41ThOzvA0VE3gbgGqXUWd70VQCglPp2o3lOOOEE9cQTT4xnnGPiP2i0f8vf8Pg/fxEbsQiLDz8acf9vz8InHb4RfLGHCyrN9/dFWfsN5q/b/3CTBvWN5q9dvGq4HSPaPiiosgNVrlxi45ZKQLkEt1SGsr3LYvwvAT/hCj5Q3eAksXrFtesb+sHUaBvFtGDO7II1ew6sObNhzphROYDrbUfdIoV8eQB/3rEWeTsPQwQzk7MwNz0HScTh2iW4dhmqXDO0S3CD8TJcuwS4jW8soH/Ri3u/elneB6D3S59hAlI7bgTjwbRY3oeuGfyaKPAum/FOavT2GxAIlOihXy9iemWGXqa/HDH1PN4QXnl/Xx7tbe2Vt9N//1TN2+t/14bGh7TbX1nNvLXrq7v84eKqGdY9qRv+o42IaPTGoxNjHJYxLp0pB7AMV7kwxDjg5QShTPr2NDinknBV/S+RYDXDnj+rqsFI6qW2oPrkrc5o6OzJdfV5R00jabQt9cpHcu5ap0pG8mW73x8v1H7XL0OKqmdYenYbjr5o6H0JouLnICLypFLqhNHOP5JLHBcA2Bqa3gbgrbWNROSzAD4LAHPnzsXq1atHG8u46+/vx+rVq7Fn3XpsHTQAbMWGp7fudz6qw/Bek63YA2x7Rf+vOwDzqqZ6kMfLyAfTJiAxiMQBxACJ63HJBOVmLAaRJGAk9VCSEElBDH+8cgc9F/oXOp1zK7gI/TroKJ2Ui5+c15kWPZfmT3uZiih/Dm+6sga/Ttc4gDjBclSoTi9TT+8pvBZapgraBj8dBPPVTgNK3EocVevQyw+2ScLL9LehEkflZwp/2msplexM1dSF2wZlgqr29csxZN7qbau0Glpeva3h9YTb1iy1ajuGlodLw/8P6sVWU15vu4IYarc3vF3V/9eGlEv1doXLh2xzne2tLLfeOoeqfh+qauqM1ZRL/fJh55f9L7e6NHwGNbp5dYwjWO4o35uRv5cHOv/Q5VS/H/tf5tD5Q+r+/xlm3gb7e+ic9WMkounr8uzl2NcEuYfPz0HGaiQJWr2PtyGfh0qpWwHcCugetGa4G5mfvQ6++U1YE09i9sxZMBPe5W3ezzWVX23CXau13ah+cU1h0FNbuyyvckj7mnbDxTB0gVXrF6mtl6qBblOTUUltG6lat5FMwEimILH6/y1q465d95C3LOhV1yPr16/HscceW105pG3tOmVo2yEBVRgNmqLmvdiT341BlGAm4jBjZrC8yjaGVhHejrrl8Hb31DoTePKJJ3H8CcdHHQZ5uD+aC/dHc+H+aC7cH82F+wM4uP1gtMeb50+Y/BxkrEaSoG0DcHBo+iAAO8a8xgikZs7CGVdcHnUYLe+lnZuw4PBFUYcBAJiL+VGHELk9iT04cuaRUYdBHu6P5sL90Vy4P5oL90dz4f6YfkZy0do6AIeKyBLR14B9GMCqiQ2LiIiIiIio9ey3B00pZYvIFwDcD32b/duUUhsmPDIiIiIiIqIWM6LnoCml7gNw3wTHQkRERERE1NL4VFYiIiIiIqImwQSNiIiIiIioSTBBIyIiIiIiahJM0IiIiIiIiJoEEzQiIiIiIqImwQSNiIiIiIioSTBBIyIiIiIiahKilBr/hYq8CmDLuC949GYBeC3qICjA/dFcuD+aC/dHc+H+aC7cH82F+6O5cH80H3+fLFJKzR7tzBOSoDULEXlCKXVC1HGQxv3RXLg/mgv3R3Ph/mgu3B/NhfujuXB/NJ8D3Se8xJGIiIiIiKhJMEEjIiIiIiJqEtM9Qbs16gCoCvdHc+H+aC7cH82F+6O5cH80F+6P5sL90XwOaJ9M679BIyIiIiIimkqmew8aERERERHRlDEtEzQROVtE/ioiL4vIlVHH02pE5GAR+b2IvCgiG0TkCq/8GhHZLiJPe69zoo61VYjIZhF5znvfn/DKukTkARF5yRt2Rh1nKxCRw0PHwNMikhORL/P4uFCxAAAE1ElEQVT4mFwicpuI7BGR50NlDY8JEbnK+075q4icFU3U01eD/XGDiPxFRJ4VkXtFZIZXvlhEBkPHyi3RRT49NdgfDT+jeHxMrAb74+ehfbFZRJ72ynl8TLBhznPH7Ttk2l3iKCImgI0AzgCwDcA6AB9RSr0QaWAtRETmA5ivlHpKRNoBPAng/QA+BKBfKfW9SANsQSKyGcAJSqnXQmXXA9inlPqO90NGp1Lqa1HF2Iq8z6vtAN4K4JPg8TFpRORUAP0A7lRKvckrq3tMiMiRAH4GYCmA1wF4EMBhSiknovCnnQb740wADyulbBH5LgB4+2MxgP/y29H4a7A/rkGdzygeHxOv3v6oqb8RQK9S6joeHxNvmPPcSzFO3yHTsQdtKYCXlVKvKKVKAP4DwPkRx9RSlFI7lVJPeeN9AF4EsCDaqKiO8wH8xBv/CfSHC02udwP4m1JqS9SBtBql1B8B7KspbnRMnA/gP5RSRaXUJgAvQ3/X0Diptz+UUr9TStne5FoAB016YC2qwfHRCI+PCTbc/hARgf4B/GeTGlQLG+Y8d9y+Q6ZjgrYAwNbQ9DYwOYiM90vOsQAe84q+4F2uchsvqZtUCsDvRORJEfmsVzZXKbUT0B82AOZEFl3r+jCqv1R5fESr0THB75XoXQbgv0PTS0RkvYj8QUROiSqoFlTvM4rHR7ROAbBbKfVSqIzHxySpOc8dt++Q6ZigSZ2y6XUd5xQhIm0A7gHwZaVUDsCPALwewDEAdgK4McLwWs3JSqnjALwHwOe9yyUoQiISB3AegP/0inh8NC9+r0RIRK4GYAP4qVe0E8BCpdSxAL4C4C4RyUYVXwtp9BnF4yNaH0H1D308PiZJnfPchk3rlA17jEzHBG0bgIND0wcB2BFRLC1LRGLQ/2l/qpT6fwCglNqtlHKUUi6AH4OXQEwapdQOb7gHwL3Q7/1u7zpq/3rqPdFF2JLeA+AppdRugMdHk2h0TPB7JSIicgmAcwF8THl/NO9dJrTXG38SwN8AHBZdlK1hmM8oHh8RERELwAcA/Nwv4/ExOeqd52Icv0OmY4K2DsChIrLE+4X6wwBWRRxTS/Guh14J4EWl1PdD5fNDzS4A8HztvDT+RCTj/RErRCQD4Ezo934VgEu8ZpcA+FU0Ebasql89eXw0hUbHxCoAHxaRhIgsAXAogMcjiK+liMjZAL4G4DylVD5UPtu7wQ5E5BDo/fFKNFG2jmE+o3h8ROd0AH9RSm3zC3h8TLxG57kYx+8Qa3xDjp53t6cvALgfgAngNqXUhojDajUnA/g4gOf8274C+DqAj4jIMdDdupsBLIsmvJYzF8C9+vMEFoC7lFK/FZF1AO4WkU8B+DuAD0YYY0sRkTT0nWbDx8D1PD4mj4j8DMBpAGaJyDYA/wzgO6hzTCilNojI3QBegL7U7vO8Q934arA/rgKQAPCA9/m1Vin1OQCnArhORGwADoDPKaVGekMLGoEG++O0ep9RPD4mXr39oZRaiaF/xwzw+JgMjc5zx+07ZNrdZp+IiIiIiGiqmo6XOBIREREREU1JTNCIiIiIiIiaBBM0IiIiIiKiJsEEjYiIiIiIqEkwQSMiIiIiImoSTNCIiIiIiIiaBBM0IiIiIiKiJsEEjYiIiIiIqEn8fzDPgcc9nH++AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(15,5))\n",
    "oildiesel1000.MDissolved.plot();\n",
    "oildiesel1000.MEvaporated.plot();\n",
    "oildiesel1000.MassOil.plot();\n",
    "oildiesel1000.MDispersed.plot();\n",
    "oildiesel1000.MBio.plot()\n",
    "massbeached = (oildiesel1000.VolOilBeached*oildiesel1000.Density/(1-oildiesel1000.VWaterContent)\n",
    "    *(1-oildiesel1000.MWaterContent))\n",
    "\n",
    "massbeached.plot(label=\"Beached\")\n",
    "\n",
    "plt.plot(oildiesel1000.MDissolved + oildiesel1000.MEvaporated + oildiesel1000.MassOil \n",
    "         + massbeached + oildiesel1000.MDispersed);\n",
    "\n",
    "\n",
    "plt.legend();\n",
    "plt.grid();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "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": [
    "(oildiesel1000.Density/(1-oildiesel1000.VWaterContent)\n",
    "    *(1-oildiesel1000.MWaterContent)).plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "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": [
    "oildiesel1000.MDispersed.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ASU1NxRfOQzjJ9fAtcj18y2Bcj6r6Jlo+Xs9Fk8eRsjQZgAlZu6iss5OSspgfbtvIpROiSUmZ2eljVB8s4MVD+5kxey7jYoI77P9TxlamJ5hISVnAgqL97MwqH/TX1YbDxfzy4z2se2QJk+NCBuUY8v3he+Sa+Ba5Hr5Frodv6e/16Emp53IgW2tdorVuAt4BFnV2Y631FmCsUiqq3fZKIBW42vX/Yq11i9baATwHzOvbUxBCCDGU3DP83KWeAPHhAeSW11Hb2MyZmsYuh7cDBJqdWbXaxo6lng6H5lhxDRNHOIOvmaPDKKpuoLi6YaCegldHXHMDj7m6iQohhBDnk54EfrnAAqWUVSmlgMuBzNY3UEqNc+1DKTUbMANlSqloV6YPpVQAziDyiOv/ca0e4gYgo79PRgghxOArr20EICKoVeAXYaWyrolDBc7gqavGLoBn/Z+3kQ655XU0NDmYFOvMBM6MDwUGf55flqspTU5pXTe3FEIIIc49PVnjt1Mp9TawD2gG9gMrlVIPuvY/C3wZuF0p1YRzHeCNWmvtCu5ecq3zMwBvaq3XuB76SaXULJylnjnAAwP71IQQQgyGMpsz4xfZJuPnHN2w9XgJAIlRnY9yAGdXT4Bae8eM3xHX4PaJrsBv6shQjAbFwdOVXDk1tp9n37mTJc5eZKdccwiFEEKI80m3gR+A1vox4LF2m59ttf8J4Akv90sDLurkMW/r+WkKIYTwFd5KPRNcs/y2HC8FYEy3GT93qWfHjN/RohqUgvEjggDw9zMyKTaYg3mDN9JBa01WiTPgy5bATwghxHmop+MchBBCCADKat0ZP4tnm3uWX9rpSqKCLAR1McoB8Oy3eQn8jhXXkBBhxWo++xgzRoeRdroSh2NwJgKV1DRia2zGz6g8A+iFEEKI84kEfkIIIXqlvNZOgJ+RAPPZsQehAX4EW0w4NCR1U+YJYHUFfnX2joHfkaJqJo5o2+lzVnwo1Q3N5AxSNu6kK9u3IDmS8lo7VfVNg3IcIYQQYrhI4CeEEKJXKloNb3dTSjHaVe7ZXZkngNXPGTTa2nX1bGhqIaesztPYxW1mfBgAB08PToOXrFLn+r7LJsUAss5PCCHE+UcCPyGEEL1SVmsnMsjcYXt8uLPcM6mbUQ4ABoPCajZS167U88QZGy0OzYR2gd+46CAC/IyDts4vq6QWfz8DC5IjAcgZhHJPe7ODbflNNLU4BvyxhRBCiO5I4CeEEKJXyr1k/MA50gFgTGT3pZ7gHOlQ267U0z1Dr33Gz2Q0MH1U6OBl/EpsJEUFecZQnCod+IzfJ0fP8Fy6nRe35fTo9lprdmaVSaAohBBiQEjgJ4QQolc6C/zcnT27m+HnFmQxdSj1PFpUg9lk8PoYM+NDOVRQjb154AOhkyW1JEcHEmA2Ehfq77WzZ2Wdnd+vy6ShqeMIip7IcQWTT28+Tpmtsdvbv7X3NDeu3MHNK3dQUFnfp2MKIYQQbhL4CSGEj9qRVcaVf/6U57ZkeW2CMlzKahvbzPBzu3ZGHN+9YgKT40J69DjeSj2PFNUwLjoIk7Hjr6dpo0KxNzs88/YGSmNzC6cr6hjrKlEdE2n12tnzg4MF/PPTLD45cqZPx8ktr8NsgDp7C09tOt7lbbXW/GtbDrEh/mQWVrPi6c/YfKS4T8cVQgghQAI/IYTwWTuzyjlWbOO3azNZ+uQnrNxyckgDwOYWB0ddw9Td6uzNNDQ5iGg1ysEtKsjCw5ePx2hQPXr8QIupwziHo0U1nsHt7SVHOef6DXTjlVNldTg0JEc7Hz8xMtCTnWttz6kKALZnlfXpOLnldYwKNnDL/AT+vTOX48U1nd52Z3Y5mYXVPLJ8PB98ezFxoQHc/eIefrc2c9BGWgghhDi/SeAnhBA+qtTWSGiAH28/uJDJcSH8bu0RLvvDp5ypaRiS4/9n32mufmoL2a2CoDKbe4Zfx4xfbwWajdTZz5ZNVtU1UVTd0Gngl+BaOzjQjVeyXBnE5Ghnxi8xKpCyWjvVDW1HOux1BX47+hj4nSqrIzpA8cjl47GajfxubWant31xWw5hVj++NGsUydFBvPvNRdw8L56VW7LYcrykT8cXQghxYZPATwghfFSprZHoYAtzEiN45Z75rL5/AeW1dn73YecBw0DalV2B1rC1VaBR7hre7m2NX28FWkzUtsr4HSmqBug08AsN8CMi0DzgA9bdM/zOZvycAWZuq+MUVzdwuqKekaH+HCu2UdqDNXqtNbc4yK+sJ8ZqIDLIwrcvG8cnR0vYcqxjEJdXXsf6w0XcNDfBMyvR38/IL66bitloYPvJvgWeQgghLmwS+AkhhI8qtTUS1WpswoLkSB68NJn/Hijg8xOlg378/XnODNe2E2cDDU/g52WcQ28FtSr1bHFo/rzxGAF+RmaMCu30PgkR1gEv9cwqqWVEiIUg11D5RNdav9aZTne274FLxwK9z/oVVDbQ4tDEWJ1lsHcsSiQhwspvP8zs0LXz1R2nUEpx28IxbbYHmI3Mig/rc6mpEEKIC5sEfkII4aNKahqJCmq7lu6by8aREGHlZ+9l0Njct+6SPVFV10RWSS0mg2J7VhktrnVlZbUDV+ppNZs8pZ5PbzrOjqxyHv/SNCKDOq4fdEvspPFKf2SV2jzrB+Fsd9LWAeaenAosJgM3zo0nyGLqddbtVLnzsaIDnL92LSYjP1kxmaPFNdz1r91U1jm/rnX2Zl7flctVU0cwKiygw+MsSI4gI7+qQxmqEOLCc7LERlWd/CwQPSeBnxBC+KhSm53o4LZBkL+fkV9dP5WsklpWfZY9aMc+4JqX9z+zR1FV30RmobMMs7zWWeI4EKWeQRYjtfZmtp0o5enNx/mf2aP4ysWju7xPQmQgBVX1Axb0aq05ecbmWd8HzoB0RIilzVrCvbkVzIwPw9/PyLykiF5n3XLLnY/lzvgBXD0tlie/PIOd2WV86ZltnDhTw7v786luaOauS5K8Ps6CsZE4NOzJKe/V8c9FRVUN/Pg/aRRVDc2aViEGWmNzCxn5Vby1J49ff3CYO17YxdbjA1OtUdPQxHVPb+Xqp7aQNkjzTcX5RwI/IYTwQfX2FmyNzR0yfgDLJsZw9dRYnt50nLzygc1+uR3IrUSps6WN21ylpWW1dsxGg6cssj+sFhNaw7df309yVCCPXz+t2/skRlrRGk5XDMxcO2cTl2bP+r6zxznb2bPe3sKh/CouHhMOOLNuWSW1FFf3PCDJLavDbDQQ7t+24+nX5sbz+n0LsDU2c8Mzn/PM5hNMHRnCHNex2pudEH5BrPOrszdz78u7Wb07j1d25Az36QjRa/ZmB9c89RnX/XUrP3g7jdd2nWJ7Vhkvb88ZkMfflHmG+qYW6pta+Oqz2/nv/vwBedz++O4bB3hzT95wn4boggR+Qgjhg9zNQ6I7KXv8xRemYDQoHnv/0KAc/0BeBeNjghgbHcS4mCC2uQKNcptzeLtSPRvZ0JVAV/BY29jM374+2/P/royJ7FiG2R9ZnsYubQfGJ0YGejJ+B09X0uzQnmBsYXIU0Lt1frnldYyOCMDg5es2JzGC9x5aTHyElYKqBu66JKnTr6+/n5FZCWHsyPKe8TsfSkAdDs13Vh/gcEE18REBrEkrROtzf4SFw6F5fmu2Z52sGFpaazYfKaZiiL7+206UklVSyw+umsim713KoV9dzQ2zRrGjVel8f3yYXkhsiD8bHr2UWfFhfOeNA/z2w8McKqhiXXohz356kl+8l+H50G6wHS+u4Z39+fwj9eR58f16vpLATwghfFCJK/CLCvZeUjkyLIAHLx3L5iNnKKgcmOyXm9aaA3mVzIoPA+CSsZHszi7H3uygvNY+IGWecHad4GNfmNrjoe9jIp0BWk7pwGQ63aMcxka1y/hFBVJqa6SmocnT2GV2gjPwmzIyhBD/3q3zO1VWxxjX2kFvRoUF8PY3FrLytov5n4tGdflYC5MjOVRQRVV92yBv24lSLvr1Bs/5nque/Pgo6w8X87Nrp/DQsnGcKqsjI796QB57+8kymts10xkq6flVPL7mMM9vzRqW41/onvssi7tf3MMP3k4bkuN9mF5IsMXEvUuSGBsdhNGgWDQukuqGZg4X9O/1XNPQxKfHSrhmeizRwRZevXc+dywcw3OfZXPt01v5xr/38X/rjrB6dx63Pb+TV3acGqBn1bkP0goBZ1Os9PyqQT+e6BsJ/IQQwgeV1rgzfv6d3sZdepgzCAPNK+qamBXvfPxF46Kob2rhQF4lZbV2IgegoyfA8skj+M83nPPpeioy0EyQxeRZM9dfWaW1mE0GRoW3baSS6Mks1rH3VAVjowMJdwWqRoNiXlJkj9f5aa3JLa/zBK2dsZpNXDk1FoOh62zqgmTnOr/d2W2zfs98coIWh/aJkq++enNPHs9+epJb5idw1yWJXDU1FpNBsSatoN+PfTCvkpuf28E7w/T1cb8Z/uDg8GQwy2yNPPTaPjYfKR7yYw+3d/ad5ndrjxAX6s/GzOJBXyNrb3aw/lARV0wZgcVk9GxfmBwJwOcn+5eF25R5Bnuzg2unxwHgZzTwq+un8eo98/nHLbNZ8+3FpP3ySvb//AqWTYzh5//N4DdrDg9IptEbrTVr0gqYNioEP6Pi/QP9/34Vg0MCPyGE8EGlrkHpnWX8oHXZ48Cu8zuQ52wUcFGCM+O3ICkSg3JmlAYy42c2Gbh4THivykaVUiREWAcs2M0qsZEUGYixXbDlDtKyS2vZl1vBnDERbfYvHBvJqbK6HmVbK+qasDU2E99Fxq83LkoIw2wytCk1TTtdyecny7CajXx0qGjQ3uANpBaH5pXtOfzsv+nc9vxOljy5mR/9J40l46P45RenopQizGpmyfioASn3dAfqw7U+8lCBM/DLLa/rUUakxeF8M21rNeuyr2obm7n7xd2sSSvk3pf28NrO3H4/5rki9egZfvh2GovGRvLRI0uJDrbwxEdHBjX43naylOqGZla4AjO3mBB/xsUE8Xk/X4PuMk93FYLb4vFRXDM9jmmjQgnx9yPQYmLl7XO4c1Eiq7Zm841X97L9ZBkfphXyyvYcnt50nGPFNf06F4AjRTVkldRy09wELp0QwwdpBefEz6ALkQR+Qgjhg0pcGb/IwM5HG8SFBuBnVAMe+O3PrcBqNjJhhHOQeqjVj2mjQvn85MAGfn2VGGVtM1y9P7JKajus73MfA+CTI2eorGvyZFfd3J/c92Sdn3s9Ylelnr3h72dkdkLbeX7/3JJFsMXEz6+bQklN4znR9XNXdjk/f+8Q7x8ooLqhmdkJ4Xx3+QSeuWU2fsazb0+umzGS/Mp69uX2r3PhTtfXa0dW2bBk3NLzq5g+KhQ/o2KNqyyuM1prHns/g4de28/v12b267j2ZgcPvrqXjIJqnrppFksnRPOTd9P50/qj5/1arIN5lXzz3/uYMCKYf952MaFWPx6+fDy7cyrYfOTMoB13bZqzzHPJhKgO+y4ZG8nuHGfpfF+0LvPsrjoAnBUKv/ziVB77whQ2ZhZz83M7+NZr+/j5e4f404ZjPPrGARz9DNLWpBVgNCiumRbLF2eNpLi6kV3Zvv8z6EIkgZ8QQvigUlsjoQF+mE2d/5g2GhTxgzDQ/EBeJdNHhbbJgi0aG8X+3Epsjc0DMsOvPxIiAsmrqOv3J8r2Zgenyuu8Bn5Ws4mYYAvrMooAuDixbeA3KTaYMKtfj7JH7rJUd4Z2ICxIjuRwYTVVdU3kltWxLr2QWxaM4YszR2IxGTzn7csyXFmvT76fwnvfuoSnbrqIb18+nhB/vza3u2LqCMxGQ7/KPVscmj05FQRbTBRWNXgtFW5oauE3aw73e/2VN43NLRwtqmHRuEiWjo/mw7TCLt9s/3H9MV7dkcvo8ADe2J3X5w86HA7ND94+yGfHS/n9DdO5ftYonrt9Dl+bM5qnN5/gh2+n0TRMax4HwucnSjnTSXfdE2dquOvF3UQGmXnx7rkEu15XN82NJzHSypMfHR2UrFRTi4P1h4tZ3q7M023h2Cjq7C19HsHQvsyzp+66JIl1jyzltXvn89F3lrDrp5fz5JdncKigmo8O9f3nhbPMs5BFYyOJDLKwfHIMVrOR9w9KuYy04OcAACAASURBVKcvksBPCCF8UKmtscMMP2/GRFjbzJvrr4amFg4XVnNRuxKiRWMjaXa9SYroIgs5FBIjrTS16H43tcktdwaPye0au3iOExVIfVML4VY/kqPaBocGg2J+D+f5ud+0D1SpJzgzjlrDzuwyVm3NwmhQ3HVJIoEWEykTo1mX0XVg4QsyCqoYGepPZCeda91C/P24dGI0a9P7/pwyC6upaWzmzksSAe+Z2vWHi1m1NZsbV24f8Izp8WIbTS2a6aNCuW5mHPmV9ezP896EZ9VnWfztkxPcPC+etx9chNGg+MumY70+ptaa33yYyXsHCvjBVRP52lznWlo/o4EnvjyDhy8fz1t7T/PqEDT+GAzF1Q18fdVOrnfNwGwtr7yOW1btxKAUL989n5jgs2ul/YwGvnflRI4W1wzKethtJ0qpqm/qUObptiA5AqXoc7lnZ2WePTExNphF46KYFBtCTLA/X754NONigvjj+r4HwRn51Zwqq+O6Gc7nazWbuGLKCNamF/Y6q1lU1cCmzGLWpBXw1p48Xtmew8otJ3l603Ge+OgIv/rgUK+6KYuOJPATQggfVFLTSFQPmqiMiQwkt6x2wEq2DhVU09SiPR093eYmRmB2ld8Nd6mne/1df0tcT7o6enrL+MHZBi+drUNcmBzJ6Yr6bmcpniqvY0SIBX+/jp/+99WshDBPZu/NPXnccNEoRoQ439yumB5HcXUj+3J9u7tnRn4VU0eF9ui2X5jpLB/b3ceAbKer7Ozr8xOICjJ7zdSuSy8kKshMdJCFW5/fyafHSvp0LG/ca/qmjwpl+eQRmE0GPjjYsdzzrT15/ObDTFZMj+U3X5pObKg/ty8cw3/353cIbrrz180neGFbNncuSuSbKWPb7FNK8d0rJjBtVMg5m5lxX8Oahma+8ux29rte70VVDXx91Q4amx28eu88kqI6fn9fOz2OaaNC+NOGYzQ2t3R6jLzyOlKPnuH9gwW8uuMUf089wf+tO8L/vpPOt17bx13/2sXH7bJla9MLCbKYWDK+Y5knQJjVzNSRIX1q8NLbMs/uGA2K710xgZMltbzbTRBcVdfE3S/u5qmNx9v8vlmTVoDJoLhqaqxn2/WzRlJV38Rnx3v+PVRV38TVT23hnpf28NBr+/nB22n8/L1D/G7tEf604RjPf5bNaztzuXXVTj44R1+zvkACPyGE8EGltkavw9vbS4y0Umtv8TSD6a/2jV3cAsxGz7aB6urZV56mNuX9K3HNLKxGKTxrGTsex/mG8eJ2jV3cUibGAM5MUVdyy+oYE9F1R8/espiMXDwmnHf359PQ5OD+pcmefZdNisFsMvBhetfryLpzqqyWh1/fT2bhwJc+1jY2k1Vay7SRPQv8Lp8Ug7+fodu1cZ3ZmVVGQoSVuNAA5idHsiOrvM2b13p7C6lHS7h6WixvPriQ5Kgg7n1pN2t7+TXck1PutXQyI7+KYH8TCRFWgv39uGxiDGvTC9tkWT4+VORpbvPnG2d5Sq2/kTKOAD8jf9rQ86zfC1uz+dOGY/zP7FH84ropnTZQunb6SPbnVnK6YmDXCQ+F7SfLCPE38cG3FxMa4MfXn9vJewfyufX5nZTb7Lx01zwmxXofE2MwKH509STyK+v5fx95X+u4/lARy/6Qyp3/2s3Dr+/nZ//N4MmPjvLC1mw2HC4ms7CaY8U2Hnx1L6t3OZvleMo8J8d0+UHPorFR7DtVSUNT50GnN30t8+zK1dNimT4qlL9sPNZphq6yzs4tz+9g85Ez/HnjMX75/iEcDu0p81wyPoow69nfC4vHRRNm9evVhwqrPsuisq6JlbddzPpHl/LZD5ex+6fLyfjVVZz47TUc++017P7ZcmaPCefh1fsvqAZFA0kCPyF8SFVdkycLIS5spTZ7z0o9XcFJbj+DILf9uRWMDPX3ZI9aWzTW+Qn2cGf8YkP8MZsM/c74HSqoJikqsNPB8e6AcF6S98AvMSqQyXEhrOsmOMgtrxvQMk+3Ba4GM8snxzAu5mzwGuzvx9Lx0XyUUdTn0sgzNQ3c9vwu3j9YwE0rd3g+EBgomYXVaA3TRvVsfmOgxcTlk0awLqOw13P4HA7N7pxyz3VckBxJUXVDm9fPp8fOUN/UwoppcUQFWXj9/gXMHB3GQ6/t483deT06zsG8Sr7y7Hb+7aV0MiO/imkjQz0B2HUz4zhTc7YBxucnS/n2a/uZGR/Gs7de3GZtWESgmXsWJ7E2vcizLrIrb+7O49drDnP11Fie/PKMLjND7gCitwGuL9ieVcb85EiSogJ568GFJEUF8sjqA+SV1/H8nXOZ2a5qob0l46O5dUECq7Zm86sPDrf5XtmUWcy3XtvH1FGhvP3gQjZ+dym7fno5Rx6/mmO/vYY9P1vO5u+lsPG7l7J0fDQ/fiedVZ9l8fnJMirrOi/zdFs4NhJ7i4M9OW2z8kVVDV1mIPtT5tkZpRTfv2oipyvqeWN3x2DKZtfcsmonx4psvHDnHO5bksRL20/xw/+ksfdUBfmV9Vw3Y2Sb+5hNBlZMj2P9oWLq7N13pS2zNfLC1myunRHHlVNjmTAimPgIK9HBFoIsJkyuapMQfz9evnseKa4GRc9+enJgvggXEO+/7YQQw+JPG47y7v589v38Cs8POnHhqbe3YGts7lHGz539yimt6zQzZW92sO1kKR9nFJFXUcffb7mY0AA/r7c9kFfJrATvb5huXZCA1WzssN5tqBkMrpEOpf0Ldg8XVHfIbLZ2+aQY3npwYYeOnq2tmBbLHzcco6iqgdjQjsFyQ1MLRdUNA9rYxXN+k2P4R+pJvrlsXId9186IZWNmMfvzKrs8f2+qG5q444XdlNoa+dvXL+LJj45yy3M7eOHOucx3BZv95Q5gpvWw1BPguhlxfJheyK6ccs+HED1xosRGRV0T812BX+uOrImu1/K6jCLCrX6e4DA0wI+X75nHg6/u44f/SaO6oYl7lyR7P4CLO3hak1bInZckebY3tTjILKrhzkWJnm2XTYohwM/ImrQCAi1G7ntpD0lRgfzrzrleP4i4d2kyL20/xZ82HOOFO+d22G9vdlBnbyb1aAk/fseZNXzq5lnd/h5JiLQyY3QoH6YVcv/SsV3e1pfkV9aTW17n+ZrGBPuz+oEFPLHuCNdMi/N8KNKdx6+fhr/JyKqt2dQ2NvN/X57BZ8dL+Mar+5gUG8LLd8/r9GclOCshnrt9Do++eYDffJjJqLAAgiwmlk6I7vK4cxMjMBkUn58sZbGrJHTzkWIefGUfU0aG8JKX4767/zSbMou5Z3HSgJR5trZ0fBTzkiJ4evMJvnJxPAFm5wcPFbV2ntzdQFE9rLz9YlImxrBsYgyBFhN/2XicjZnFmI0Grpg6osNjfnHmSF7bmcuTHx1lbEwQaA1KkTIhusMHYc9+epL6phYeXT6h23P19zPyz9vm8L23DvJ/647wxu48lHI+vEPrNn9rrfnCzJH86OpJ3X7NbI3NfP/Ngx1GrSyfHMOvrp/W7XmdKyTwE8KHHC2uobqhmcOF1cwY3fWnleL8VWpzD2/vPvAbHW7FoPDa2bOyzs4/0xr49icbqGlsJshiotbezLOfnuRHV0/qcPuSmkZOV9Rzx8JEr8eKDLJw39Ku3/wOlcRIa7dD3G2Nzbx3IJ+b5yZ0+KVfWWcnv7KeWxeM6fT+BoNibqL3YNrtmulx/HHDMT7KaPtm3y1vEDp6uk0dGcqhX13l9Q3N5ZOdnTDXpRf2KvBraGrhvpf2cLy4hhfunMvSCdHMGRPBLat2cMe/dvHP2+ZwaTdvalurbmjq0KUTIKOgmqggCzE9yGq7LZkQjdGg+PxEWa8CP/cYh/lJzmBgbHQgUUEWdmSVcdO8BJocmk2ZZ7h2elybQMlqNrHq9jl85439/ObDTKrrm3j0igleyya11qzNKMSgYM+pCgqr6okLDQCcjV3szY42Qa7VbGL5lBF8mF7I2vRCIoLMvHzPvDblcq2F+PvxwKXJPPnRUb7w163UN7VQ19hMrb2FOnszTS1ns1VzE8P5520Xe+0o6c11M+L43doj5A1SZnow7HCt71s49myAF+Lvx29vmN6rx1FK8dNrJxNoMfHUpuMUVNWzO6eCcTFBvHJP10Gfm9lk4OmbLiLYYmL17jyunzWy2/W8QRYTM+PDPA1eNh4u5hv/3ktChJVDBVXcumonr7R6Pby7/zTfe/Mg85Mi+e4VE3v1HHtCKcUPrprIV5/dTsofPsFkMODQmpqGZhqbHKy6c57n+14pxXeWTyDQbOK3azO5YsoIr9/j8xIjSIy08uLnOW22RwSaefWe+UwZ6cz2F1c38PL2U9xwkbPRTE+YTQb+cuMsJo4IIrOwBqXAoFSHv8tr7fxzSxZltXae+PKMDvNa3arqmrjjX7tIz6/iuhlxbcbJjOtkKcC5SgI/IXxITqnzTeKu7HIJ/C5gJa7Ar6vh7W5mk4GRYQGc8hIEvbz9FDsKWvjKxaO5Znosl4yL4sf/SeeFrdncvnCM542p285s55uQzjJ+viQhIpBtJ5zz2Dpbv/SP1BM888lJEiMDuWRc20DhsGvdmvvNR1+Niwli4ohg1mYUeQ383MHpYL2h7uxT7BB/P5aMj2JdRhE/vXZyp1+j1locmu+sPsDO7HLPvDeA2FB/3nxgIbc9v4t7X9rNB99e3Onaqdb25JRz48odvHz3vA5f/4z8KqaNCunRebkFWUxMGxXqeZ321M7scuJC/YmPcL7elVIsSI7wrPM7VOrMsF89PbbDfc0mA3+9eTZBljSe3nyC6oZmfnHdlA5f94z8avLK63ng0mT++WkW69KLuHtxkue5Akxr91q7bkYcHxwsIDrYwqv3zPdaXt3anYsSST9dRa29hXiLEavZRKDZiNXi+ttsIjTAj6unxWI19/zt3YrpzsBvTVoh30g5N7J+27PKCLf6MXEA3pQrpXj0igkEWZyBzKTYYP597/xOg3BvjAbF7/9nOguSI5mf3PWHRW6LxkbyzCcneHf/aX74dhpT4kJ4+Z757D1VzoOv7uOmlTv4973z2XK8hO++eZCFyZE8f8dcTzZuoM1NjOAHV03keHENBoPCZFAYDQaS1BmvH/bctzSZmfFhniZY7RkMio++s5Tq+iZQoFCcqWng3pf2cPNzO3jlnnnMGB3G3zafoMWheeTy8b06X6NB8dBlXd9Ha83Tm07w543HqG9q4S83zmoT1IHzg9bbnt/FyTM2/nHLbK6c2vHnwPlEAj8hfES93VkSBs7Ar7uyInH+Kq1xZ/y6fiPolhgZ6HWkw95TFYwMUvy/r870bPvuFRP4MK2Qv2w4zhNfmeHZXmZr5PE1h0l0lX75usQoK/VNLZTUNBLj5Q2zrbGZV7Y711rtzC7vGPi5ZrVNietf4AdwzfRYntp0nDM1DW3axsPZzqMDNby9d+cVx6YjZzh4uqpDl1Zv3tl3mo8OFfHz66Zw/axRbfZFBll45Z55LPj9Jt7dl8//ruj+6/bUpuO0ODTv7s9v8/VvaGrh+Bkbyyd3LA/rzoKkCP61LYeGppYedUnVWrMzu5xFYyPbBJkLkiNZk1ZITlkde4pbCPY3cUknWUSjQfHEl2cQ7O/H81uzGRcT1CFTvDajEKNB8eDSsXx6tIS16YWewC89v4ogi4nEyLYl0ssmxvDQsnF8cdZIz1rdrljNJv5x68Xd3q63RodbmRUfxofpBb0O/LafLKOwqp6mFgf2Fk1Ts4OmFofn/w6H5ub5CYwKC+j+wXp53PlJkQNa8njf0mTmJkWQHB3oNYPVHaUUX7poVPc3dFk4NpK/bj7Bo28cZGZ8mKes9LJJI1h1+xzue3kPX/zbNgqq6gc96HP7lpey8dTU1E5v39n6Zzd/P2Ob79PoYAtvPrCQm5/bwS3P7eQ3N0xj9e5cvjY3noRBqIpQSvHI8vEEmA38bu0RGpta+MNXZ3oyf+W1du5+cTf5lfU8d0fvqhnOVT1aRKSUelQpdUgplaGUel0p5d9u//VKqTSl1AGl1B6l1GLXdn+l1C6l1EHX/X/V6j4RSqkNSqnjrr8HbqWqEOcgd4fC0AA/dueU+/wMLjF4epPxA+c6ndx2pZ4Oh2Z/bgVjw9q+UYiPsHLbwjG8tTeP48U1nts++uZBKuqaeOaW2T0uERtO7jfKnc0wfGN3HtUNzYRb/djlJUN0uKCamGBLjxrodGfF9Di0ho+9DE3PLa8jyGIaloY4V0wegZ9R9ahxR4tD84/Uk0yOC+Fu16y79iKDLFwyLoq1GYXdjg85mFfJZ8dLCbaYWH+oqE23wCNFNbQ4dI8bu7Q2PzkCe4vD66iKkppGvvrs523a6+eU1VFS09jhDap7DdjW4yXsP9PMFa4RC51RSvGzayczZ0w4z3xyok0DDq0169KdA6zDA81cOz3OU+4JznmFU0eGdAhSzCYD379qYqddZYfSdTPiyMiv7tW62bTTldz83A6+++ZBfvSfdH7+3wx+veYwv193hD+sP8bTm47zt09O8PgHhwf0XPPK68ivrG9T5jlQZsWH9Sno64vZCeGEBvgxKz6sQ1np0gnRvHjXPCrq7EMW9A2V+Agrbz6wkMggM4+sPoBSim9f1jHgHEj3Lx3L49dPZWPmGWb9egPTf7me6b9cz6X/L5Xi6kZeumveBRH0QQ8CP6XUKOBhYI7WehpgBG5qd7NNwEyt9SzgbmCVa3sjcJnWeiYwC7haKbXAte/HwCat9XjX/X/c3ycjxLnM/Qv3S7NGUiHdPS8I5bV23jvQcXZSaY1zNENkDwelJ0Zaqahroqq+ybMtq9RGdUMz48I6/ph/aNk4Ai0mnvjoCAB/Tz3BlmMlPPaFKUztYXv94ebOoHlb29jU4uD5z7KYlxjBDReNZn9uZYdOeYcKqpnazzJPt/ExQYyNDmRtuvfALz7C2quSxoESavVzBmrp3Qdq6zIKySqt5VvLxnZ5riumxZFXXs+hgq5HPPztkxOEBvjxmxumUd3Q3GbQvbv0sS+vtTmJERgU7MzqOM9vTVoBu3Mq+Na/93k6rbZf3+fmXuf37KdZ1DY5W9p3x509KKxq4M09pz3bMwtryCmr83RyXOEaZL0uvYjmFgeZhdW9amIzHNzn3psRIH/ZeJwwqx8bHl3K5z++jN0/Xc7BX1zJ4V9fxfHfXkP271fw8OXj+ehQkSfDPhDcr6WeNnDxVf5+RjZ+91LefGCh12Bz4dhItv/4cl65Z/55E/S5jQwL4M0HFnJRQhgPXzauw7KDwXDbwkT+fe98fnbt5DZ/3v3mogFrWnUu6GnbQBMQoJQyAVagzWAOrbVNn/2tEgho13attXa/e/Vz/XHf7nrgJde/XwK+1KdnIMR5Itu1vu+rc+KBswOHxfnrj+uPetqPt1ZqayQ0wK/LDERrCa4Zcbmtsl/7Tjnb748L6/iGITzQzDdSxrIx8wx/23ycP204xhdnjuTr8xL6+lSG3KjwAIwG5XWkw4dphRRUNfDApcnMS4qgsdlB+umzndoamlo4UWLr9/o+N6UU106PY2d2macxj9upstphKfN0WzE9jtMV9R061bWmteaZT06SHB3INdO6bkN/xZQRGA1dZxGPFFWz4XAxd12SyFVTYwmymNqMvDhUUEVogB+jw3v/Zi/E348pI0O8rvNbl17E2OhAZsaH8dDr+/kwrZBd2eVEBpoZG922lNK9zi+/sh6LkW67MLotHhfFxWPC+UerrN86V1OXK6c4S1fHRgcxKTaYtemFnCix0dDkYLqPB34jwwK4eEx4j+ckHsyrZPORM9y3JJnxI4IZGRZAdLCFUKsfVrMJP6MBpRT3LE4i2N/EU5t6PoOwOztOlhEZaGbCiJ41AvFl0cGWLn/Oh1r9Om1Icq6LCfHn3W9e0u06vYF0ybgo7l2S3ObPeB/IuA+lbtf4aa3zlVJ/AHKBemC91np9+9sppW4Afg/EANe22m4E9gLjgGe01jtdu0ZorQtdxyhUSsV4O75S6n7gfoARI0Z0WWs8VGw2m0+ch3A6X67H9oxGQsxQcmwfoRbFmp2ZjG7IHu7T6rXz5XoMBHuLpqReMyqo4y/2+mbN23ucQcvq9Z8zN/bsj+PM7AYCDY4efx1LapxldGs/201ZnPNx1mQ0YjVBkK7z+jjjWjThFsUf1h8j1qq4JrqSTz/9tJfPcHhFWGBXZjaplrNvVrXW/PHzBkYGKlTRYeyuJOjqTXuwjXWWW2ZXtTgHZ1ecJjW1Y5auL6IbHTg0/PWdLSxLcH5679CaU2V1TAiye67BUH9/WO0ao4JnP9zF1yZ6Lzc9cKaZzMJG7plm5rMt3b8GJoUr/rMri7mWQq/ZwX8caMDfCOMc+ezYVsC0CM2aA3lcEV6G0aDYfqSeUVb6/HobZWpkc04zGzZ/gp/rTXFlg4PdOfV8aZwfVyZq/lSl+Pbr+zAbYFqU0euxIpqdL46p4Zod2z7r8fGXRbfwh1MN/Pa1zSyLN/HWznomhhtI37Pdc5spwXbeOd7Eyg93AFCXf5TUquN9er5DZWJAE6+dsvPLVzYQYFJowKhgepQRf1Pb6/ynvQ0E+kFySx6pqae9P6DL5aMV/z1UzEvvb2JMyNkPolocms15zUyPMhIbePZnpPt7pMWh2Zjr3D/S9TNUa01qZj1jwwzn3M+rc5X8Tvct/b0e3QZ+rrV31wNJQCXwllLqVq31q61vp7V+F3hXKbUUeBxY7treAsxSSoW59k/TWmf09AS11iuBlQBz5szRKSkpPb3roElNTcUXzkM4nS/X4+9HtzMhTrNs2SIWF+5j36kKLr300mEpEeuP8+V6DIQXtmbz+MbDfPDQ4g6lXi9vz6Gx5ZDzP+GjSUk5O17hb5mfkxCoSElZ2KPj1Nmb+fm2jwkcMYaUFOenp7/b/ylzkwMICa7r9Ho0RhXw+JrD/OvueUwegCYnQ23SyZ1U1TeRkrLYs23LsRLyanbx5FdmcJkre/7XjE8pUQGkpMwDoGhXLpDOV5cv9Mxx6y+tNS8c/ZST9gB+lTIfgMKqepo/3swlMyeS4moGMhzfH2+e3kVGaS3PePl5orXm6X98zqgwAz++OaVDxztv8gNO8dN3M4iddHGH183JEhu7Pv6UB5aO5borna/phqgiHnx1L/4J05mbGEHBho+565JEUlIm9+n52KOL+PiVvYQmzfSs3Xt5ew6aQ3zzCwsZPyKYJUuauftfu9mVU8618yaS4qXj6tjyOlYf+5RLx/j16ppcqjWflGxnY349X7t8NkUfb+VbV0z1XGOA+Kk23vnjp2zM01jNRm5cscznMzeTqhp4+8lPePGQvc32ixLCeOnueZ5yxAN5laR9tI0fXDWRa7w0A2nvovlNbH5iM1srQ7nji3MAaG5x8J03DrAms5CoIDOv3zfXk3lJTU1l8ZKlzv1HCvk40Myr98xhysgQTpXVUv5xKo8umNzm6y0Gj/xO9y39vR49qSNaDmRrrUu01k3AO8Cizm6std4CjFVKRbXbXgmkAle7NhUrpeIAXH+f6f3pC3H+yCmt9bwJnZ8UQWFVA6cr6of5rER/pOdXoTU8+fHRNtu11ryy/RQzRocyOS6EjPy2619KbY09Gt7uZjWbiAm2eMoeqxuaOH7GxuyErntmfWHmSHb+5PJzMugD52y89s0oVm7JIibYwvWzRnq2zU+OYO+pCppbnJnRQwXVBFlMJAxgCaZSihXTY9meVcYtq3Zw/TPbuPGfOzznOZxWTIslt7zO67q87Vll7Mut5MFLk3sU9AFcOSUWg6JN+abbP1JPYjEZuHfJ2UArZWI0VrORtemFHD9Tg73FwdR+lD7OS4pAqbPr98A5PH1cTJAneAiymPjXXXN57AtT+JrrA4D24iOspD12JTOje9fgXCnFI5ePp6CqgYdX70cpuKrdAGt3uWd1QzNTR4b4fNAHzrEdW364jI+/s5QNjy5l43eX8ucbZ5J+uorbn99FdYMzQ/qXjccIt/pxR6uB9F0JDfDjnsXJbDhcTEZ+FU0tDh5ZfYA1aYXcvzQZg1LctHIHR4uczaZaHJpH3nDuf2BpMhaTga+v2kFGfhXb3fP7ejgyQQjRVk9+yucCC5RSVuX8qPByILP1DZRS41z7UErNBsxAmVIq2pXpQykVgDOIPOK62/vAHa5/3wG8198nI8S5qraxmTM1jSS5Aj/30Ohdss7vnJZZWI3ZaGDLsRI+P1nq2b4ru5zjZ2zcumAM00aGkJFf1ab5RqnN3utuk4mRgZ7A70BuJVrD7DHdt/A/1zLKrSVGBlLd0MwP3z7It17bx62rdrL1RCl3L05q05l0XlIktsZmMgudbywPF1YzOS54QFvBA3xtTjwzRofS2OQgLMCPaaNCuGPhmG6HwA+2K6fGdrou75lPThAdbPGsLe6J6GAL85IiWNeui2lGfhX/3Z/PzfMS2nxw4e9nZNmkGD4+VETaae8z7XojzGpm4ohgzzrokppGdmWXexqUuAVaTNx1SRKBls4Du56MhPBmyfgoZieEkVVSy7zEiA5jPACudZ2Przd2aS021J+JscGMHxHMuJhgbrhoNM/cMpuMfGfw99nxElKPlnDf0mSCuvi6tnfX4kRC/E38cf1RHn59Px+mF/LTFZP5yYrJrL5/ASaj4uvPOYO7Z9Ma+TCtkJ+smMT/rpjMG/cvJNBs4pZVO3ljTx7RwRbGRp/76/uEGA7dBn6uNXlvA/uAdNd9ViqlHlRKPei62ZeBDKXUAeAZ4EZXs5c44BOlVBqwG9igtV7jus//AVcopY4DV7j+L8QFKcfVmdA952niiGBC/E0S+J3D7M0OTpY4g7u4UH+e+OioJ7h7ZccpQvxNfGHGSKaODKGs1k5xtbMpSL3dOUy6Nxk/cI50cI8E2ZdbgVL0aHbbuWxuYgRhVj82Hykhs7CamsZmbrhoFLfMb9ukZp77g5Sccloc8/ELkwAAIABJREFUmszC6kHpXjomMpB3v3kJb39jES/dPY+/33Ixv7p+Wp+Di4ESEWhmYXJkh+6ea9IK2HaijPuWJPX6HFdMj+P4GZtnJMix4hpuf2EXMcEWr7PgVkyLo9Rm56XPcwg0GzvMtOutBcmR7D1VQVOLg/WHi3BoWOFlAPtgUUrxneUTAOcoBG+umzkSP6NifjezznzdVVNjPcHfHS/sItzqx+0LE3v1GCH+fty3JJlPjpawLqOIn107mfuWOmfVJkcHsfr+hfgZDXzxb1vZXdTCz66dzP1Lna+jhEgrq+9fQJDFxP7cShYkR57TH1gJMZx69HGN1vox4LF2m59ttf8J4Akv90sDLurkMctwZg+FuODluDp6JkY5S8IMBsXcxAh250jgd67KKrXR1KKZGR/KpNhgfvifND4+VMTsMeF8lFHEHYsSCTAbPdmAQwVVxIb6e7pCRvcy8EuMtPL23kbq7M3sy61kQkwwwUM0j2q4zIwP48Avruz2drGh/oyJtLIru4xlE6Ops7cMWEfPc8WK6XH85N10MgtrmDIyhI2Hi/nO6gPMGRPObQsSe/14V02N5bH3D7EuowijQfH153ZiMiheu2+B1+xXysRo/P0MHCmqYV5iRL+zrfOTInjx8xzSTlexLr2I5KhAJg5xd76lE6J555uLmNFJRi8pKpCdP1lOuPXc/z68amosf79lNg+9tp9vLRvXq2yf252XJLLleAlfmDmyQ+CYFBXI6vsX8PDq/UwPqufeJclt9sdHWHnjgQX86D9p3Dy359lpIURbPR3nIIQYRO0zfuBcx5JVWsuZmobhOi3RD0dcZYWT40L4n9mjGBsdyJMfH+W1nbk0O7QnKzU5LgSl8Kzz6+3wdrcE12vnVFkd+3MrelTmeSGZlxjBruxyMlzr3Kaco+sa++rKqSMwKOdauC3HSvjmv/cxdWQI/7qrb4OhR4T4M2dMOP/Zd5qvP7cT0Lx234JOm+UEWkykTHA2757ah8Ht7bmbunyUUcj2rDKumR47LFmg2QnhmLpYGxkRaD5vslNXTo3lwGNXdAjKeirY34+3HlzUabYwMSqQ9x9azBWJ3gPl0eFW/n3vAhaNi/K6XwjRPQn8hPABOaW1xARb2qxFcb+x2ZNTMVynJfohs8i5vi8pKhCT0cAPrppEVkktf918giXjo0h2rVEJtJhIjgoko8C59qm0xp3x65g16Uqiq4HI5iNn+P/t3Xl03Gd97/H3d7TLWmxZq2VL3i3ZzmJbdUwWx05sQuCGJAVKUkiABAK96S2kvd249zSUNqeklJZyDpeQEE4SGggBQllOKYkdjJ2V2I7JYklxbEvetFuWRrL2ee4fMyOPpJE0kkaasfR5nZNj6bfNM/PkNzNfPc/z/Xq7+8dN7DLXbF6WQ+v5Pn5+6AxJCcbqOVa7KTcjhS3LF/LD/Sf5zBP7WZGfweN3bZ7SqPCN64uobTlPT/8AT356Cyvzx153dWNgKmY0ptkuzEhhVX4Gj79Uy4DPjVt/UKIjPXniI30iEj8U+InEgZqWzhFrXtYXZ5OWlKB1fhepqjovK/MzBjMl3rCugA0l8xnwOT52xdA05OuLs3k7UGB7siN+pYEi7s8c9NfU2liqwC/UFcsWArC7qoGV+ZljFk2erW68pIgmbw8lOen8x92bmZ8+sf/HhrtlQzEfvGwR37v7CtYUjh9I37i+iP/7gfKorcW7YnkOvQM+SnLSWTfHpu6KiEzG3PvkE4lDx5vPD67vC0pK8LCxdP5g5jq5uFTXeykruvBl2Mx44JZLuPM9pewozx9y7PpF2Zxp6+ZsZy/NXn8NrYXzJrbGLzs9ifnpSRxt6mR+ehLLo1SfbrZYkpNGYVYqzjFng4Q/3FDMfTtW8+Snr2DhBNeQhpMzL5lv3L4h4qyVyYkePn3N8qiNGgWD+fdfUjRrplOKiEwnBX4iMebt7qO5oyfs2ph1i7I52tgxJBOfxL/Wzl7q27spLxwaYKxdlMWXb14/Yk1QMBB5+0wbzR09ZKclTWpEqjQwarxhyXx9ER7GzAanT8+19X1B81IS+fyOVeRnTWwacby6dk0e71tXyB9vLhn/YBERUeAnEmvB2mvLwqQ3z81IpnfAR3t3/0w3S6agKlCIOHTEbyzBNU9vnW6nydsz4Rp+QaWBguRa3xdeMPCbqyN+s01WahIP3bGJkoXp4x8sIiKRlXMQkelzvDmQ0TPMiF8wAAiOAsnFoarenzkyknVP4J+muSQnjbcCI365GZNbexVM8KL1feF9aONiPGYxL6guIiISCxrxE4mxmuaRpRyCgkW8g5ke5eJQVedl4bzkCdXiW7/In+DFH/hNbsRv6+o8KkoXsKFEpRzCSUtO4I+vKJlyDTkREZGLkQI/kRg73tJJYVZq2Fpag4FfR+9MN0umoKq+nbKizAmts1tfnE1Ny3nOtHVPeqpnxdIcfvwnVyrluoiIiIygwE8kxmqaO0dk9Ay6EPhpxO9iMeBzVDd4KSuc2Dqy4Lqz3n7fpEf8REREREajwE8kxmpazoed5gn+dOkeU+B3MTlx9jzdfT7KIlzfFxRa1HoiU0RFREREIqHATySG2rr6ONvZGzaxC0CCx8iZl6zA7yJSVedP7FI+wZIBeZkpFGT5A76JFm8XERERGY8CP5EYqm0ZPbFLUG5GCk1K7nLRqKz34jFYmZ8x4XPXB0b98jJmR501ERERiR8K/ERiKFjKYdkoI37gHwlqUnKXi0ZVXTvL8zJITRqZrGc864r9gZ9G/ERERCTalPpNJIZqmv3F20vHKECcm5HCsabOmWqSTFFVvZdLF2ePf2AYH7+ihJz0JAqzNOInIiIi0aURP5EY+u07jazMH3t0KDfDv8bPOTeDLZPJ6Ojp58TZ8xNO7BKUn5XKJ69aNqEyECIiIiKRUOAnEiNvnmrj4Ilz3L65ZMzjcjNS6On30dHTP0Mtk8mqrvcCTLiUg4iIiMh0U+AnEiNPvFxDWlICH960eMzjVMT94vHW6TYA1kxyxE9ERERkuijwE4mB1s5efvb7M9y6sZjstKQxj83N9Ad+yuw5/bp6B3j7TNukznXO8YPfnaCsMJPFC9Ki3DIRERGRqVHgJxIDP9x/kt5+H3e+p3TcY/MGR/wU+E2nvgEfn37iNT7wjRd49IXjEz7/paMtVNV7uetqrdETERGR+KPAT2SGDfgc33u5liuW5US0FiyY2l+B3/T68i8O8+K7LawvzuIffnmYb+05OqHzH33hOLkZyXzwskXT1EIRERGRyVPgJzLDnq9q5PS5Lj5x5dKIjs9JT8YMmjXVc9o88XIN33ulls9uXc5//s+ruOmyRTz431X8+64jEWVTPdrUwfNVjXx8S+mk6veJiIiITDfV8ROZYU+8XENhVio71xZEdHxigoec9GQVcZ8m+4408fe/OMyO8nz+6n1lJHiMr3/0cpITPPzbrnfoHRjgf793zZjTN7/7wnGSEz18fMv4U3dFREREYkGBn8gMerexg31HmvmLnatJSoh8wD03I0VTPaPk9Lku6s51Ud/eTX1bN/+++wir8jP4+m0bSPD4g7sEj/HVD19KcqLxzd8cpbffxxffXx42+Gvt7OUnB09x6+XFgxlYRUREROKNAj+RafT6iVYef6mGM23dnDnXRUN7N0kJxm3j1O4bLjczWYHfFDnn+PtfHOaxl2qGbF+8II1H7qwgI2Xo26HHYzxwyyUkJ3h4ZN9xevt93H/TOjyeocHf9393gu4+H3ddvWy6n4KIiIjIpCnwE5lGj+w7xu7KRi5bPJ9NpQsoyk5j25o88jInNjKUl5HC/trWEdufO9zAb99p5B9vuSRaTZ61HnuphsdequG2P1jCjZcUUZCVQmFWKtlpSaNO4/R4jC99cB3JiYHgb8DHA7dcMhj89fb7eOLlGq5ZlavafSIiIhLXFPiJTKOqOi/b1+Tz0B2bpnSd4FRP59yQIOXHB07y67cb+Kv3lZGVOnY9wLns+aoG/uGXh3nv2gIeuPWSwSmdkTAzvvj+cpITPXzzN0c51drFwnnJNHf0cqati4b2Hr7yoUunsfUiIiIiU6fAT2SadPUOcLylk5uikN4/NzOF7j4fnb0DQ6YkVtV7Aaiu9/IHS3Om/DizUWVdO//r+6+zdlEWX7/t8gkFfUFmxl/eUEZ6ciKP7DtGVmoSCzOSWZ6bwR9uKObaVXnT0HIRERGR6Iko8DOz+4BPAw54E/iUc647ZP/NwD8APqAf+IJz7gUzWwI8ARQG9j3snPv3wDlfAj4DNAUu80Xn3H9F40mJxIMjjV6cg/KiqU8BDCYNafb2DAZ+nT39nDh7HvAHNwr8Rmr0dnP3Y6+RmZrEd+78A9KTp/a3rnu3r+Te7Suj1DoRERGRmTNuWkEzKwb+DKhwzq0HEoDbhh22G7jMOXc5cBfwncD2fuAvnHPlwBbgXjNbG3LevznnLg/8p6BPZpWqOv9oXCRF2seTmzGyiPs7Df7AEqAy8Fgy1GMv1tDo7eE7n6igMDs11s0RERERiZlI88knAmlmlgikA2dCdzrnOtyFKsfz8I8M4pyrc84dDPzsBSqB4mg0XCTeVda3k5aUQElO+pSvNTjiFxL4Bad5Fs9Po7KufcqPMRvtr2llXXE264uzY90UERERkZiyC/HaGAeZfR54AOgCnnXOfSzMMbcC/wTkAx9wzr08bP9SYC+w3jnXHpjq+UmgHdiPf2RwRNpCM7sHuAegoKBg01NPPRX5s5smHR0dZGRkxLoZEhCv/fHg77roGYC/e0/alK91rtvHF/Z0cefaZK4r8Sdx+d7hHl483c9VxYnsO93PQzvS8YxRZHymxEt/9Pscf7LrPNctSeT28rlbXy9e+kP81B/xR30SX9Qf8UX9EV+C/bF9+/YDzrmKiZ4/7oIXM1sA3AwsA84BPzKzjzvn/iP0OOfcT4GfmtlW/Ov9doRcIwP4Cf61f8GhiW8FjnOBf7+Gf5roEM65h4GHASoqKty2bdsm+BSjb8+ePcRDO8QvHvvDOcd9e5/jhnWFbNs29YyP/QM+7vvtr5hfVMq2basB+Fb1y6xb7HhvxWJ2n3iTZZdsZlnuvCk/1lTFS3+8fqKVvmdf4uarL2XbJUWxbk7MxEt/iJ/6I/6oT+KL+iO+qD/iy1T7I5KpnjuA4865JudcH/AMcOVoBzvn9gIrzCwXwMyS8Ad9Tzrnngk5rsE5N+Cc8wGPAJsn/SxE4kyTt4fW831Rq+2WmOBhQfqFIu7OOarqvawpzKS8yL+GsCrMdM/uvgEa27tHbJ8LDgTqHm4qXRDjloiIiIjEXiSB3wlgi5mlm7+A2PX41+oNMrOVgX2Y2UYgGWgJbHsUqHTO/euwc0L/BH8r8Nbkn4ZIfAmuv4tGYpeg3Ixkmr3+wK++vZu2rj7KCzNZXZCJxwi7zu+rv67mhq/vpad/IGrtuFgcqG1l8YI0CrKU1EVERERk3MDPOfcq8GPgIP5SDh7gYTP7nJl9LnDYh4C3zOwQ8E3go4FkL1cBdwDXmdmhwH/vD5zzz2b2ppm9AWwH7ovqMxOJoap6fxBWFqURP7hQxB1CMoYWZZGalMCy3HlU1g/N7Omc41dv1tF6vo9Xjp2NWjsuBs459te2UqHRPhEREREgwjp+zrn7gfuHbX4oZP+DwINhznsBCJttwjl3R+TNFLm4VNV5KchKYcG85KhdMzcjhUMnzwH+jKEAqwv8gWVZURa/D+wbbEO9lzNt/mmeuw43cO3quVNk/FRrF03eHk3zFBEREQmItJyDiExAVb03qtM8AfIyL4z4Vdd7KZ6fRnaaP8Pn2qIsTrV20d7dN3j881WNAGwsmc+uygYiyeA7Vb39Ptp6In+c9u4+3jh1bvwDJyi4vm+jAj8RERERQIGfSNT1Dfh4t7GDsqLoTfME/4jf+d4BOnv6qarzDplGWh54rOqQ6Z67Kxu4bHE2t20uoa6tm7fPTL3W32MvHmf7v+yhf8AXdv83dh/hiy+cp2+U/cN9+ReHufX/vcSJlvNTbluoA7WtzEtOiHrwLSIiInKxUuAnEmXHmzvpHfBFdX0f+JO7ANS1dXG0aWhgGQxwgpk9mzt6eP3kOa4rK+C6snzMYFdlw5TbsKuykePNneyvHVFyE4D/erOOzj7/azCehvZufnboNAM+xyP7jk25baH217ayoWQBCZ7Y1zUUERERiQcK/ESibDoyegLkZvqLkL9y7Cz9PseakOsXZaeSnZbE4UDSlz3VTTgH15fnk5uRwsaSBVMO/AZ8jtdP+AO+XYdHXutoUwfHAgFfuAyjwz32Ug0DPsc1q3J5ev/JwWmsU+Xt7qO6vl3r+0RERERCKPATibKqunYSPcaKvIyoXjcvwx/4vXCkGYDykBFFM6OsMHMwm+jzVQ0UZKWwbpE/ONxRXsBbp9upa+ua9ONX13vp7B0gJdHDc2HWDO4OBJYeg8PjBH6dPf08+Uot71tfyP03raN3wMfjL9WM2wbn3LilKQ6dPIfPqX6fiIiISCgFfiJRVlXvZUVeBsmJ0b29cgOB30tHm0lO8LAsd96Q/eVFWVTXe+nuG2DvO81cV1ZAoLwmO9fmA/6pmmN5t7GDZw6eCrvvQGC075NXLaW25TzvNnYM2b+rspGywkyKMzxU1nnDXWLQ0/tP0t7dz2euWc7K/Ax2lhfwxMu1dPb0j3neEy/XcuU/Pc/53tGPO1DbihlsKJk/5rVERERE5hIFfiJRVl3vjXpiF4CFgTV+7d39rMzPIDFh6O1bXpTJ+d4BfnzgFB09/Vxflj+4b0VeBksXpoedohnqa89W8+dP/57G9u4R+w7WtpKXmcKnrlwGwHMhU0fPne/lQG0rO8oLKMn0DK41DKd/wMd3XzxORekCNpT4R+U+t20FbV19PPXayTHb95vqRlo6ewdHPcM5UNvKmoJMMlOTxryWiIiIyFyiwE8kitq6+jh9rmtaskkmJXhYkO4PZsIFluVF/sd86LdHSUn0cNXK3MF9ZsaO8gJePtpCxyijaj39A+x9pwm4UAoi1IHaVjaVLKAwO5VLF2cPCSL3VDcx4HNcX57PkkwPjd4eWkZZs/frtxs4ebaLz2xdPrhtY8kCNi/L4dF9x0bNCOrzOQ4Gkso8N0oA61+HeI6KpZrmKSIiIhJKgZ9IFFUPJnaJ/ogfXJjuWR4msFxdkInH/MXLr1yxkLTkhCH7d6wtoHfAx75AcDfcq8fO0tk7gCdMBtBGbzcnzp4fXDe3o7yA10+eo8nrD+6eq2wgNyOFyxbPpyTL/7YSbrqnc46H9x1j6cJ0dpQXDNn3J9eu4ExbNz8/dCZs+440dtDe3U9mSiLPVzUy4BtZL/CdBi8dPf1a3yciIiIyjAI/kSiqDiRXmY6pnnAh8At3/dSkhMF1f9cPC6oAKkoXkJ2WNGSKZqjdlQ2kJHr4yKYl7DvSTFfvhSQqB2v9RdY3hgR+zsFvqhrp7fext7qJ68vy8XiMxZnBwG/kdM/9ta38/uQ57r5m+YhSC9vW5LGmIJNv7z0atth8sCj7Z69dTktnLwdPjCwp8bvjZwHYVJIT9jmKiIiIzFUK/ESiqLLeS3ZaEoVZqdNy/WBJhzWjjCiWBaZ7Xheyvi8oMcHDdWX57K5spLtvaGZM5xy7Khu5ZlUuN122iJ5+Hy++e2Ed3cETrSQnelhf7L9+eVEmxfPTeK6ygddqzuLt6ef6cv9jZiUb+ZkpVNaPDPx+tP8kmamJfHjj4hH7zIw7ryzlnYYOqhtGjhburz1LbkYyd165lKQEG7Fe0TnHk6/WUlaYyZKctLCvj4iIiMhcpcBPJIqq6tpZU5g5mE0z2tYvymJVfsZgaYfh7txSyn07VrNofvjA548qltDW1cczB08P2V7d4OX0uS6uLy9g87IcMlMSh0z3PFDbyqXF2aQk+qeP+tcM5rPvSBO/fKOO5EQPV6+6sKawvChrxFRPn8/xfFUj29fkj5iGGrRzrX+kMlwSmgO1rWwsWUBWahJbli8csc5vT3UT7zR0cM/W5dP2+ouIiIhcrBT4iUSJz+d4p6FjSH29aPvstSt49r6towY2VyxfyOd3rBr1/C3Lc7h0cTbf2XcMX8gaud2BMg/Xl+WTnOhh65o8dlU24vP56+a9eaptxLq5HWsL6O7z8fT+k1y9Mpf05MTBfeVFWbzb6KW3/0KilkOnztHc0cuOtSOnoQblZ6Zy+ZL5I4K6Jm8PtS3nB5O27FxbwLHmziElJb699yhF2ancdNmiUa8vIiIiMlcp8BOJktPnuujo6R+cbjldpjKaZWZ85prlHGvuHDKit6uygUsXZ5MfmKK6s7yA5o4e3jjdxlun2+kd8A2u7wu6YtlCMlMSB7N5hiovyqRvwHG06UJgtutwA4ke49rVeWO2cefaAn5/qo2GkJISwfV9m0r9a/eCiWGCz+GNU+d45dhZ7rpqGUkJelsTERERGU7fkESiJJjMZLT1d/HixvWFLF6QxiP7jgHQ3NHDoZPnuL7swkjctjV5JHj86+iCJRQ2lgwN/JITPVy7xh/EhZ4LF0pLhCZ42VXZwOZlOWSnjV1fLzjdc3dIsfkDtWeHrDFcND+NdYuyBkcGv733GJkpidy2eUmEr4KIiIjI3KLATyRKgqUc1hTEd+CXmODh7quX8VpNKwdPtPJ8VSPOMWTUbn56MhWlC9hV2cCB2lZKF6aTlzlyXeF9O1fz1Q9fSmH20GQ2y3PnkZzooSrwmtS2dPJOQ8eIEg7hrMrPoCQnnecO1w9u2z9sjSH4A8SDJ/zP4Vdv1vGxLaUq2i4iIiIyCgV+IlFSVe+ldGE681ISxz84xv6oYglZqYl8Z98xdlc2UJSdyrpFQ6eo7lxbQFW9l31HmthUEr4u3oq8DD5SMXKULTHBw+qCjMERv12B0btIAr9gsfkXj7bQ2dNPd98Ab51uY9Owouw71/pLStz75EESPManrloayVMXERERmZMU+IlESWV9e9yP9gXNS0nk41tK+e+36tlT3cR1Zfkj1g4GawF29g6MWN8XibLCrMHAb3dlA6sLMihZmB7RuTvXFtDb72PfkSbePN1G34AbEXyuLcqieH4adW3d3HJ5MQXTVEJDREREZDZQ4CcSBd19A9Q0d057Ypdo+uSVS0n0eOjp94UdiVuWO48Vef6C8MMzekaivCiL5o5e3m3s4NXjZyMa7QuqWBooNn+4kf01wcQuQ9tgZoPrAe/ZunzC7RMRERGZSxT4iUTBkYYOfI5pLeUQbflZqXxoUzFZqYm8Z8XCsMd88LJiCrNSWT2JkczyIv8539pzlAGfG7OMw3BJCR62r8nj+Sp/gfjlufNYGKZ24Rd2rOIHn9nCqotkpFVEREQkVhT4iURBZf3FkdFzuPtvWsez911LalL4gup/et1K9vzlNhI8Ey8hUV7oH/38z0Onyc1I5vLF8yd0/s61hbSe72NPdeOoU03npyePGrSKiIiIyAUK/ESioLreS2qSh9KF82LdlAlJTUoYkZEzVILHRg0Kx7NgXjKFWakM+BzXleXjmWDwuHV1LkkJhs9BxSSmmoqIiIjIBQr8RKKgqr6d1QWZkxoZm82C0z0nsr4vKDM1iS3L/aN5FUsV+ImIiIhMhQI/kSioqvNSdpFN85wJFUtzyEpN5OpVuZM6/66rlnHDugKW52ZEuWUiIiIic0v8FxwTiXNN3h5aOnspK7x4MnrOlHu2Luf2zSWkJ0/urWZ7WT7by/LHP1BERERExqQRP5EpqgokdtGI30hJCR5y5iXHuhkiIiIic54CP5EpqqrzAhdfRk8RERERmTsU+IlMUVW9l/zMlLB15kRERERE4kFEgZ+Z3Wdmb5vZW2b2AzNLHbb/ZjN7w8wOmdl+M7s6sH2Jmf3GzCoD538+5JwcM3vOzI4E/lXaPrkoVdW3a7RPREREROLauIGfmRUDfwZUOOfWAwnAbcMO2w1c5py7HLgL+E5gez/wF865cmALcK+ZrQ3s+xtgt3NuVeD8v5nqkxGZaf0DPo40dlBepMQuIiIiIhK/Ip3qmQikmVkikA6cCd3pnOtwzrnAr/MAF9he55w7GPjZC1QCxYHjbgYeD/z8OHDLZJ+ESKzUtHTS2+9TYhcRERERiWt2IV4b4yD/FM0HgC7gWefcx8IccyvwT0A+8AHn3MvD9i8F9gLrnXPtZnbOOTc/ZH+rc27EdE8zuwe4B6CgoGDTU089FfmzmyYdHR1kZKiuWLyIZX+8WtfPt37fw99fmUppVkJM2hBvdH/EF/VHfFF/xB/1SXxRf8QX9Ud8CfbH9u3bDzjnKiZ6/riBX2Dt3U+AjwLngB8BP3bO/ccox28F/s45tyNkWwbwW+AB59wzgW0RBX6hKioq3P79+yN6YtNpz549bNu2DYCH9x7leHPnkP3hXtKw23ARHDO5a412cvjrjdwa+eNO/nrh2xfmXDf2703NTeTmjiwQPpXXM9yR4Y6raemkpuU8h798AymJCvxg6P0hsaf+iC/qj/ijPokv6o/4ov6IL8H+MLNJBX6RVFXeARx3zjUBmNkzwJVA2MDPObfXzFaYWa5zrtnMkvAHjk8Gg76ABjMrcs7VmVkR0DjRxseDA7WtvH7i3IjtZiOPNUZuDH9cmG3hDozkWjPQjrAti/L1xnoenZ0+Ojg/6nFhmzeVxw3ZlpacwB1bShX0iYiIiEhciyTwOwFsMbN0/FM9rweGDLuZ2UrgqHPOmdlGIBloMf+360eBSufcvw677s+BTwBfCfz7syk9kxj59h0TDrYlyvx//dga62aIiIiIiMStcQM/59yrZvZj4CD+LJ2vAw+b2ecC+x8CPgTcaWZ9+IPDjwaCwKuBO4A3zexQ4JJfdM79F/6A72kzuxt/cPmRKD83ERERERERIbIRP5xz9wP3D9v8UMj+B4EHw5z3AqPMBHTOteAfPRQREREREZFpFGkqVVy8AAAF70lEQVQ5BxEREREREblIKfATERERERGZ5RT4iYiIiIiIzHIK/ERERERERGY5BX4iIiIiIiKznDnnYt2GiJlZE1Ab63YAuUBzrBshg9Qf8UX9EV/UH/FF/RF/1CfxRf0RX9Qf8SXYH6XOubyJnnxRBX7xwsz2O+dUuT1OqD/ii/ojvqg/4ov6I/6oT+KL+iO+qD/iy1T7Q1M9RUREREREZjkFfiIiIiIiIrOcAr/JeTjWDZAh1B/xRf0RX9Qf8UX9EX/UJ/FF/RFf1B/xZUr9oTV+IiIiIiIis5xG/ERERERERGY5BX4TYGbvM7NqM3vXzP4m1u2Za8xsiZn9xswqzextM/t8YPuXzOy0mR0K/Pf+WLd1LjGzGjN7M/Da7w9syzGz58zsSODfBbFu51xgZmtC7oNDZtZuZl/QPTJzzOy7ZtZoZm+FbBv1fjCzvw18plSb2Q2xafXsNUp/fNXMqszsDTP7qZnND2xfamZdIffJQ7Fr+ew0Sn+M+v6k+2N6jdIfPwzpixozOxTYrvtjmo3xPTdqnyGa6hkhM0sA3gF2AqeA14DbnXOHY9qwOcTMioAi59xBM8sEDgC3AH8EdDjn/iWmDZyjzKwGqHDONYds+2fgrHPuK4E/kixwzv11rNo4FwXes04DVwCfQvfIjDCzrUAH8IRzbn1gW9j7wczWAj8ANgOLgF3AaufcQIyaP+uM0h/vBZ53zvWb2YMAgf5YCvwyeJxE3yj98SXCvD/p/ph+4fpj2P6vAW3OuS/r/ph+Y3zP/SRR+gzRiF/kNgPvOueOOed6gaeAm2PcpjnFOVfnnDsY+NkLVALFsW2VjOJm4PHAz4/jf+OSmXU9cNQ5Vxvrhswlzrm9wNlhm0e7H24GnnLO9TjnjgPv4v+skSgJ1x/OuWedc/2BX18BFs94w+aoUe6P0ej+mGZj9YeZGf4/rP9gRhs1h43xPTdqnyEK/CJXDJwM+f0UCjpiJvCXpw3Aq4FNfxqYtvNdTSuccQ541swOmNk9gW0Fzrk68L+RAfkxa93cdRtDP7B1j8TOaPeDPldi7y7gVyG/LzOz183st2Z2TawaNQeFe3/S/RFb1wANzrkjIdt0f8yQYd9zo/YZosAvchZmm+bJxoCZZQA/Ab7gnGsHvgWsAC4H6oCvxbB5c9FVzrmNwI3AvYGpIxJDZpYMfBD4UWCT7pH4pM+VGDKz/wP0A08GNtUBJc65DcCfA983s6xYtW8OGe39SfdHbN3O0D8e6v6YIWG+5456aJhtY94jCvwidwpYEvL7YuBMjNoyZ5lZEv6b4Unn3DMAzrkG59yAc84HPIKmgswo59yZwL+NwE/xv/4NgbnqwTnrjbFr4Zx0I3DQOdcAukfiwGj3gz5XYsTMPgH8D+BjLpDsIDBdqiXw8wHgKLA6dq2cG8Z4f9L9ESNmlgj8IfDD4DbdHzMj3PdcovgZosAvcq8Bq8xsWeCv6bcBP49xm+aUwHzzR4FK59y/hmwvCjnsVuCt4efK9DCzeYEFyJjZPOC9+F//nwOfCBz2CeBnsWnhnDXkL7W6R2JutPvh58BtZpZiZsuAVcDvYtC+OcXM3gf8NfBB59z5kO15gaRImNly/P1xLDatnDvGeH/S/RE7O4Aq59yp4AbdH9NvtO+5RPEzJDG6TZ69Atm//hT4NZAAfNc593aMmzXXXAXcAbwZTC8MfBG43cwuxz+8XQN8NjbNm5MKgJ/636tIBL7vnPtvM3sNeNrM7gZOAB+JYRvnFDNLx599OPQ++GfdIzPDzH4AbANyzewUcD/wFcLcD865t83saeAw/imH9ypjYXSN0h9/C6QAzwXeu15xzn0O2Ap82cz6gQHgc865SBORSARG6Y9t4d6fdH9Mv3D94Zx7lJFrxEH3x0wY7Xtu1D5DVM5BRERERERkltNUTxERERERkVlOgZ+IiIiIiMgsp8BPRERERERkllPgJyIiIiIiMssp8BMREREREZnlFPiJiIiIiIjMcgr8REREREREZjkFfiIiIiIiIrPc/wcc0bz4izA8PAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x252 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(15, 3.5))\n",
    "ax.plot(oildiesel1000.MDissolved + oildiesel1000.MEvaporated + oildiesel1000.MassOil \n",
    "         + massbeached + oildiesel1000.MDispersed + oildiesel1000.MBio);\n",
    "ax.grid();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "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": [
    "massbeached.plot(label=\"Beached\");\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "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": [
    "(oildiesel1000.MDispersed/(oildiesel1000.MDispersed + oildiesel1000.MassOil)).plot()\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "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": [
    "oildiesel1000.VolumeOil.plot();\n",
    "plt.legend();\n",
    "plt.grid();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "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": [
    "oildiesel1000.AnalyteMass1.plot()\n",
    "oildiesel1000.AnalyteMass2.plot()\n",
    "oildiesel1000.AnalyteMass3.plot()\n",
    "oildiesel1000.AnalyteMass4.plot()\n",
    "oildiesel1000.AnalyteMass5.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "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": [
    "oildiesel1000.Thickness.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  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",
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       "\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",
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       "\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",
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       "\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><div class='xr-wrap'><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-b66c88f8-3700-4e97-8f7b-2f81eda41687' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b66c88f8-3700-4e97-8f7b-2f81eda41687' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>grid_x</span>: 396</li><li><span class='xr-has-index'>grid_x_latlon</span>: 397</li><li><span class='xr-has-index'>grid_y</span>: 896</li><li><span class='xr-has-index'>grid_y_latlon</span>: 897</li><li><span class='xr-has-index'>grid_z</span>: 40</li><li><span class='xr-has-index'>time</span>: 191</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2b2fc20e-076f-4901-b5b0-fb95731f9dbe' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2b2fc20e-076f-4901-b5b0-fb95731f9dbe' 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'>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'>2018-01-15T00:30:00 ... 2018-01-22T22:30:00</div><input id='attrs-00025925-08a7-40a8-aea7-b150a5a3ced5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00025925-08a7-40a8-aea7-b150a5a3ced5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb16387c-1798-4b03-8b5b-76bd3f7e582b' class='xr-var-data-in' type='checkbox'><label for='data-eb16387c-1798-4b03-8b5b-76bd3f7e582b' 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>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>tz_name :</span></dt><dd>UTC</dd></dl></div><pre class='xr-var-data'>array([&#x27;2018-01-15T00:30:00.000000000&#x27;, &#x27;2018-01-15T01:30:00.000000000&#x27;,\n",
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       "       &#x27;2018-01-21T18:30:00.000000000&#x27;, &#x27;2018-01-21T19:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-21T20:30:00.000000000&#x27;, &#x27;2018-01-21T21:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-21T22:30:00.000000000&#x27;, &#x27;2018-01-21T23:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-22T00:30:00.000000000&#x27;, &#x27;2018-01-22T01:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-22T02:30:00.000000000&#x27;, &#x27;2018-01-22T03:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-22T04:30:00.000000000&#x27;, &#x27;2018-01-22T05:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-22T06:30:00.000000000&#x27;, &#x27;2018-01-22T07:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-22T08:30:00.000000000&#x27;, &#x27;2018-01-22T09:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-22T10:30:00.000000000&#x27;, &#x27;2018-01-22T11:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-22T12:30:00.000000000&#x27;, &#x27;2018-01-22T13:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-22T14:30:00.000000000&#x27;, &#x27;2018-01-22T15:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-22T16:30:00.000000000&#x27;, &#x27;2018-01-22T17:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-22T18:30:00.000000000&#x27;, &#x27;2018-01-22T19:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-22T20:30:00.000000000&#x27;, &#x27;2018-01-22T21:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-22T22:30:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>grid_y</span></div><div class='xr-var-dims'>(grid_y)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 891 892 893 894 895</div><input id='attrs-36b1c2cd-08e6-4c26-a8f1-c3042a699972' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36b1c2cd-08e6-4c26-a8f1-c3042a699972' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84a6c875-74d5-4a25-ac6d-f23ed4e326b9' class='xr-var-data-in' type='checkbox'><label for='data-84a6c875-74d5-4a25-ac6d-f23ed4e326b9' 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>standard_name :</span></dt><dd>model_y_index</dd><dt><span>long_name :</span></dt><dd>y index</dd></dl></div><pre class='xr-var-data'>array([  0,   1,   2, ..., 893, 894, 895], dtype=int16)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>grid_x</span></div><div class='xr-var-dims'>(grid_x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 391 392 393 394 395</div><input id='attrs-cd35705b-f767-44f1-a9b0-28a0d436ff6c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd35705b-f767-44f1-a9b0-28a0d436ff6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec96590a-b514-4f51-9d25-6b566b26c1ad' class='xr-var-data-in' type='checkbox'><label for='data-ec96590a-b514-4f51-9d25-6b566b26c1ad' 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>standard_name :</span></dt><dd>model_x_index</dd><dt><span>long_name :</span></dt><dd>x index</dd></dl></div><pre class='xr-var-data'>array([  0,   1,   2, ..., 393, 394, 395], dtype=int16)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>grid_z</span></div><div class='xr-var-dims'>(grid_z)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 34 35 36 37 38 39</div><input id='attrs-1bd0ca37-c5ea-4db7-a252-d1c0b1d2eef8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1bd0ca37-c5ea-4db7-a252-d1c0b1d2eef8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5307a95f-83ba-451c-9d3f-3ce9e96727b8' class='xr-var-data-in' type='checkbox'><label for='data-5307a95f-83ba-451c-9d3f-3ce9e96727b8' 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>standard_name :</span></dt><dd>model_level_index</dd><dt><span>long_name :</span></dt><dd>depth level</dd></dl></div><pre class='xr-var-data'>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39], dtype=int16)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>grid_y_latlon</span></div><div class='xr-var-dims'>(grid_y_latlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 ... 894.0 895.0 896.0</div><input id='attrs-eb8ced34-247d-4cf8-9ef9-8acf7db6b630' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb8ced34-247d-4cf8-9ef9-8acf7db6b630' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49442630-dbcc-4cb3-b979-19753d75646b' class='xr-var-data-in' type='checkbox'><label for='data-49442630-dbcc-4cb3-b979-19753d75646b' 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>standard_name :</span></dt><dd>model_latlon_y_index</dd><dt><span>long_name :</span></dt><dd>latlon y index</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><pre class='xr-var-data'>array([  0.,   1.,   2., ..., 894., 895., 896.], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>grid_x_latlon</span></div><div class='xr-var-dims'>(grid_x_latlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 ... 394.0 395.0 396.0</div><input id='attrs-8e4a24b6-869e-48b3-9a9d-e5b69845a1e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e4a24b6-869e-48b3-9a9d-e5b69845a1e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6ac63b0-d996-4fe8-85cf-1efeb790ce64' class='xr-var-data-in' type='checkbox'><label for='data-f6ac63b0-d996-4fe8-85cf-1efeb790ce64' 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>standard_name :</span></dt><dd>model_latlon_x_index</dd><dt><span>long_name :</span></dt><dd>latlon x index</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><pre class='xr-var-data'>array([  0.,   1.,   2., ..., 394., 395., 396.], dtype=float32)</pre></li></ul></div></li><li class='xr-section-item'><input id='section-2b5e5e93-d2b1-411c-bff9-2abfe598698c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2b5e5e93-d2b1-411c-bff9-2abfe598698c' class='xr-section-summary' >Data variables: <span>(10)</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>OilConcentration_2D</span></div><div class='xr-var-dims'>(time, grid_y, grid_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eddba93d-6048-49b0-b62e-df66b86b7c4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eddba93d-6048-49b0-b62e-df66b86b7c4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a450ec1-0a83-4fa4-b234-985d5bb7874c' class='xr-var-data-in' type='checkbox'><label for='data-7a450ec1-0a83-4fa4-b234-985d5bb7874c' 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>standard_name :</span></dt><dd>OilConcentration_2D</dd><dt><span>long_name :</span></dt><dd>OilConcentration_2D</dd><dt><span>units :</span></dt><dd>ppm</dd></dl></div><pre class='xr-var-data'>[67769856 values with dtype=float64]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>Thickness_2D</span></div><div class='xr-var-dims'>(time, grid_y, grid_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-791ee12e-f21f-40e7-8be2-9945f581986e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-791ee12e-f21f-40e7-8be2-9945f581986e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12ddca3b-6dc9-4e3a-bdf1-a5057dd08b78' class='xr-var-data-in' type='checkbox'><label for='data-12ddca3b-6dc9-4e3a-bdf1-a5057dd08b78' 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>standard_name :</span></dt><dd>Thickness_2D</dd><dt><span>long_name :</span></dt><dd>Thickness_2D</dd><dt><span>units :</span></dt><dd>microns</dd></dl></div><pre class='xr-var-data'>[67769856 values with dtype=float64]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>Dissolution_3D</span></div><div class='xr-var-dims'>(time, grid_z, grid_y, grid_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b529c4a5-5ce5-4fb8-bd0e-e59cccaa55b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b529c4a5-5ce5-4fb8-bd0e-e59cccaa55b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cdacbe7-6a83-4cc8-9d92-f7b52b058208' class='xr-var-data-in' type='checkbox'><label for='data-8cdacbe7-6a83-4cc8-9d92-f7b52b058208' 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>standard_name :</span></dt><dd>Dissolution_3D</dd><dt><span>long_name :</span></dt><dd>Dissolution_3D</dd><dt><span>units :</span></dt><dd>Kg/m3</dd></dl></div><pre class='xr-var-data'>[2710794240 values with dtype=float64]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>OilConcentration_3D</span></div><div class='xr-var-dims'>(time, grid_z, grid_y, grid_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b1c4b693-9480-48cd-b0a3-0955f136b3bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1c4b693-9480-48cd-b0a3-0955f136b3bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6bd1a049-826e-4190-95ca-d83e623870ec' class='xr-var-data-in' type='checkbox'><label for='data-6bd1a049-826e-4190-95ca-d83e623870ec' 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>standard_name :</span></dt><dd>OilConcentration_3D</dd><dt><span>long_name :</span></dt><dd>OilConcentration_3D</dd><dt><span>units :</span></dt><dd>Kg/m3</dd></dl></div><pre class='xr-var-data'>[2710794240 values with dtype=float64]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>OilWaterColumnOilVol_3D</span></div><div class='xr-var-dims'>(time, grid_z, grid_y, grid_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6d5e8902-0fd8-49d1-80d2-039ab53cea54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d5e8902-0fd8-49d1-80d2-039ab53cea54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a30ca89a-3010-43cc-80c6-9088381b96e8' class='xr-var-data-in' type='checkbox'><label for='data-a30ca89a-3010-43cc-80c6-9088381b96e8' 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>standard_name :</span></dt><dd>OilWaterColumnOilVol_3D</dd><dt><span>long_name :</span></dt><dd>OilWaterColumnOilVol_3D</dd><dt><span>units :</span></dt><dd>m3/gridcell</dd></dl></div><pre class='xr-var-data'>[2710794240 values with dtype=float64]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>Latitude</span></div><div class='xr-var-dims'>(grid_y_latlon, grid_x_latlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6ae79d7c-1798-4b76-9b27-cde2a040cfab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ae79d7c-1798-4b76-9b27-cde2a040cfab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6d38427-1494-4d2b-8f3c-faeadde93f8d' class='xr-var-data-in' type='checkbox'><label for='data-c6d38427-1494-4d2b-8f3c-faeadde93f8d' 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>standard_name :</span></dt><dd>Latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><pre class='xr-var-data'>[356109 values with dtype=float64]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>Longitude</span></div><div class='xr-var-dims'>(grid_y_latlon, grid_x_latlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-26f7ff21-c3f4-4696-9436-0a58f2cb24f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26f7ff21-c3f4-4696-9436-0a58f2cb24f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffd3a542-3e1f-4e66-9517-cc6223b69f37' class='xr-var-data-in' type='checkbox'><label for='data-ffd3a542-3e1f-4e66-9517-cc6223b69f37' 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>standard_name :</span></dt><dd>Longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><pre class='xr-var-data'>[356109 values with dtype=float64]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>Beaching_Time</span></div><div class='xr-var-dims'>(grid_y, grid_x)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-427d1619-cdd8-43a2-abc2-124190d024c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-427d1619-cdd8-43a2-abc2-124190d024c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-519aaf7c-a0e6-4c2a-bb60-bf873b41d9f2' class='xr-var-data-in' type='checkbox'><label for='data-519aaf7c-a0e6-4c2a-bb60-bf873b41d9f2' 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>standard_name :</span></dt><dd>Beaching_Time</dd><dt><span>long_name :</span></dt><dd>Beaching Time</dd></dl></div><pre class='xr-var-data'>[354816 values with dtype=datetime64[ns]]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>Beaching_Volume</span></div><div class='xr-var-dims'>(grid_y, grid_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-50a9fef6-8cf3-4f74-acf2-4f88255acc9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50a9fef6-8cf3-4f74-acf2-4f88255acc9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aaaf27d2-5668-4adf-b7ee-883071b01a02' class='xr-var-data-in' type='checkbox'><label for='data-aaaf27d2-5668-4adf-b7ee-883071b01a02' 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>standard_name :</span></dt><dd>Beaching_Volume</dd><dt><span>long_name :</span></dt><dd>Beaching Volume</dd><dt><span>units :</span></dt><dd>m3</dd></dl></div><pre class='xr-var-data'>[354816 values with dtype=float64]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>Oil_Arrival_Time</span></div><div class='xr-var-dims'>(grid_y, grid_x)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9f25a5d3-5523-4694-a735-643a4468ae79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f25a5d3-5523-4694-a735-643a4468ae79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc992919-91e4-488e-bd17-d73675e392a0' class='xr-var-data-in' type='checkbox'><label for='data-dc992919-91e4-488e-bd17-d73675e392a0' 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>standard_name :</span></dt><dd>Oil_Arrival_Time</dd><dt><span>long_name :</span></dt><dd>Oil Arrival Time</dd></dl></div><pre class='xr-var-data'>[354816 values with dtype=datetime64[ns]]</pre></li></ul></div></li><li class='xr-section-item'><input id='section-a628f661-917d-447a-90a8-e173f9f6960f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a628f661-917d-447a-90a8-e173f9f6960f' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd><dt><span>history :</span></dt><dd>Mon Nov 23 19:05:38 2020: ncks -4 -L4 -A /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_oil_times.nc /localscratch/allen.41074661.0/Lagrangian_SB_1000_diesel_SB_1000_diesel.nc\n",
       "Mon Nov 23 18:59:39 2020: ncrcat -4 -L4 -O -o /localscratch/allen.41074661.0/Lagrangian_SB_1000_diesel_SB_1000_diesel.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-15T0030.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-15T01:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-15T02:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-15T03:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-15T04:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-15T05:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-15T06:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-15T07:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-15T08:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-15T09:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-15T10:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-15T11:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-15T12:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-15T13:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-15T14:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-15T15:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-15T16:30.nc 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/localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-20T05:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-20T06:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-20T07:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-20T08:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-20T09:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-20T10:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-20T11:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-20T12:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-20T13:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-20T14:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-20T15:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-20T16:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-20T17:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-20T18:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-20T19:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-20T20:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-20T21:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-20T22:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-20T23:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-21T00:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-21T01:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-21T02:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-21T03:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-21T04:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-21T05:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-21T06:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-21T07:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-21T08:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-21T09:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-21T10:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-21T11:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-21T12:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-21T13:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-21T14:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-21T15:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-21T16:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-21T17:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-21T18:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-21T19:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-21T20:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-21T21:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-21T22:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-21T23:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-22T00:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-22T01:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-22T02:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-22T03:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-22T04:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-22T05:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-22T06:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-22T07:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-22T08:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-22T09:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-22T10:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-22T11:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-22T12:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-22T13:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-22T14:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-22T15:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-22T16:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-22T17:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-22T18:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-22T19:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-22T20:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-22T21:30.nc /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_2018-01-22T22:30.nc</dd><dt><span>NCO :</span></dt><dd>4.6.6</dd><dt><span>history_of_appended_files :</span></dt><dd>Mon Nov 23 19:05:38 2020: Appended file /localscratch/allen.41074661.0/tmpmylsyu0c/Lagrangian_SB_1000_diesel_SB_1000_diesel_oil_times.nc had no &quot;history&quot; attribute\n",
       "</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                  (grid_x: 396, grid_x_latlon: 397, grid_y: 896, grid_y_latlon: 897, grid_z: 40, time: 191)\n",
       "Coordinates:\n",
       "  * time                     (time) datetime64[ns] 2018-01-15T00:30:00 ... 2018-01-22T22:30:00\n",
       "  * grid_y                   (grid_y) int16 0 1 2 3 4 5 ... 891 892 893 894 895\n",
       "  * grid_x                   (grid_x) int16 0 1 2 3 4 5 ... 391 392 393 394 395\n",
       "  * grid_z                   (grid_z) int16 0 1 2 3 4 5 6 ... 34 35 36 37 38 39\n",
       "  * grid_y_latlon            (grid_y_latlon) float32 0.0 1.0 2.0 ... 895.0 896.0\n",
       "  * grid_x_latlon            (grid_x_latlon) float32 0.0 1.0 2.0 ... 395.0 396.0\n",
       "Data variables:\n",
       "    OilConcentration_2D      (time, grid_y, grid_x) float64 ...\n",
       "    Thickness_2D             (time, grid_y, grid_x) float64 ...\n",
       "    Dissolution_3D           (time, grid_z, grid_y, grid_x) float64 ...\n",
       "    OilConcentration_3D      (time, grid_z, grid_y, grid_x) float64 ...\n",
       "    OilWaterColumnOilVol_3D  (time, grid_z, grid_y, grid_x) float64 ...\n",
       "    Latitude                 (grid_y_latlon, grid_x_latlon) float64 ...\n",
       "    Longitude                (grid_y_latlon, grid_x_latlon) float64 ...\n",
       "    Beaching_Time            (grid_y, grid_x) datetime64[ns] ...\n",
       "    Beaching_Volume          (grid_y, grid_x) float64 ...\n",
       "    Oil_Arrival_Time         (grid_y, grid_x) datetime64[ns] ...\n",
       "Attributes:\n",
       "    nco_openmp_thread_number:   1\n",
       "    history:                    Mon Nov 23 19:05:38 2020: ncks -4 -L4 -A /loc...\n",
       "    NCO:                        4.6.6\n",
       "    history_of_appended_files:  Mon Nov 23 19:05:38 2020: Appended file /loca..."
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diesel1000 = xr.open_dataset('/data/sallen/results/MIDOSS/ParticleNoTests/SB_1000_diesel/new11/Lagrangian_SB_1000_diesel_SB_1000_diesel.nc')\n",
    "diesel1000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "imin, imax = 200, 350\n",
    "jmin, jmax = 150, 280"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<xarray.DataArray 'OilWaterColumnOilVol_3D' ()>\n",
      "array(1860.458)\n",
      "Coordinates:\n",
      "    time     datetime64[ns] 2018-01-15T20:30:00\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7faa95dd1950>]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(1, 2, figsize=(15, 5))\n",
    "it = 20\n",
    "\n",
    "field = diesel1000.OilWaterColumnOilVol_3D[it]\n",
    "(field[:, imin:imax , jmin:jmax].sum(axis=0)).plot(ax=axs[0], cmap='copper')\n",
    "print (diesel1000.OilWaterColumnOilVol_3D[it, :, imin:imax, jmin:jmax].sum(axis=0).sum(axis=0).sum(axis=0))\n",
    "\n",
    "axs[1].plot(diesel1000.time[0:72], diesel1000.OilWaterColumnOilVol_3D[0:72].sum(axis=1).sum(axis=1).sum(axis=1)\n",
    "           )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7faa91c62850>"
      ]
     },
     "execution_count": 18,
     "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": [
    "oildiesel1000.VolumeOil.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tmax = 20\n",
    "fig, axs = plt.subplots(1, 3, figsize=(15, 5))\n",
    "diesel1000.OilWaterColumnOilVol_3D[1:tmax+1, 39, 200:300, 200:300].sum(axis=0).plot(ax=axs[0]);\n",
    "diesel1000.OilWaterColumnOilVol_3D[1:tmax+1, 38, 200:300, 200:300].sum(axis=0).plot(ax=axs[1]);\n",
    "diesel1000.OilWaterColumnOilVol_3D[1:tmax+1, 0:38, 200:300, 200:300].sum(axis=0).sum(axis=0).plot(ax=axs[2]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(2, 2, figsize=(15, 15))\n",
    "imin, imax = 250, 290\n",
    "jmin, jmax = 230, 270\n",
    "diesel1000.OilWaterColumnOilVol_3D[:, 39, imin:imax, jmin:jmax].sum(axis=0).plot(ax=axs[0, 0], cmap='gist_ncar');\n",
    "#ds2000.OilWaterColumnOilVol_3D[:, 39, imin:imax, jmin:jmax].sum(axis=0).plot(ax=axs[0, 1], cmap='gist_ncar');\n",
    "#ds5000.OilWaterColumnOilVol_3D[:, 39, imin:imax, jmin:jmax].sum(axis=0).plot(ax=axs[1, 0], cmap='gist_ncar');\n",
    "#ds10000.OilWaterColumnOilVol_3D[:, 39, imin:imax, jmin:jmax].sum(axis=0).plot(ax=axs[1, 1], cmap='gist_ncar');\n",
    "axs[0, 1].set_title('2000');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(2, 2, figsize=(15, 15))\n",
    "imin, imax = 220, 350\n",
    "jmin, jmax = 150, 280\n",
    "diesel1000.OilWaterColumnOilVol_3D[:, 39, imin:imax, jmin:jmax].sum(axis=0).plot(ax=axs[0, 0], cmap='gist_ncar');\n",
    "#ds2000.OilWaterColumnOilVol_3D[:, 39, imin:imax, jmin:jmax].sum(axis=0).plot(ax=axs[0, 1], cmap='gist_ncar');\n",
    "#ds5000.OilWaterColumnOilVol_3D[:, 39, imin:imax, jmin:jmax].sum(axis=0).plot(ax=axs[1, 0], cmap='gist_ncar');\n",
    "#ds10000.OilWaterColumnOilVol_3D[:, 39, imin:imax, jmin:jmax].sum(axis=0).plot(ax=axs[1, 1], cmap='gist_ncar');\n",
    "axs[0, 1].set_title('2000');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<xarray.DataArray 'Beaching_Volume' ()>\n",
      "array(615.75950367)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(2, 2, figsize=(15, 15))\n",
    "imin, imax = 250, 350\n",
    "jmin, jmax = 150, 250\n",
    "diesel1000.Beaching_Volume[imin:imax , jmin:jmax].plot(ax=axs[0,0], cmap='copper')\n",
    "print (diesel1000.Beaching_Volume.sum(axis=0).sum(axis=0))\n",
    "#ds2000.Beaching_Volume[imin:imax , jmin:jmax].plot(ax=axs[0,1], cmap='copper')\n",
    "#print (ds2000.Beaching_Volume.sum(axis=0).sum(axis=0))\n",
    "#ds5000.Beaching_Volume[imin:imax , jmin:jmax].plot(ax=axs[1,0], cmap='copper')\n",
    "#print (ds5000.Beaching_Volume.sum(axis=0).sum(axis=0))\n",
    "#ds10000.Beaching_Volume[imin:imax , jmin:jmax].plot(ax=axs[1,1], cmap='copper')\n",
    "#print (ds10000.Beaching_Volume.sum(axis=0).sum(axis=0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7faa912bb250>]"
      ]
     },
     "execution_count": 23,
     "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": [
    "plt.pcolormesh(mesh.tmask[0, 0, imin:imax, jmin:jmax])\n",
    "plt.plot(218-jmin, 290-jmax, 'r*')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "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": [
    "#scale = 86400 * 1e9\n",
    "#days = np.ma.masked_array((diesel1000.Beaching_Time[imin:imax, jmin:jmax]-diesel1000.Beaching_Time[:].min())/scale,\n",
    "#                         diesel1000.Beaching_Time[imin:imax, jmin:jmax] == diesel1000.Beaching_Time[:].min())\n",
    "#plt.pcolormesh(diesel1000.Beaching_Time[imin:imax, jmin:jmax]);\n",
    "bt = np.array(diesel1000.Beaching_Time[imin:imax, jmin:jmax] - diesel1000.Beaching_Time[imin:imax, jmin:jmax].min())\n",
    "plt.plot(bt/1e9/3600, 'ro');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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",
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       "</style><div class='xr-wrap'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'time'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 191</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1a6039c7-36b1-40f2-b012-17998cfdbf19' class='xr-array-in' type='checkbox' ><label for='section-1a6039c7-36b1-40f2-b012-17998cfdbf19' 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>2018-01-15T00:30:00 2018-01-15T01:30:00 ... 2018-01-22T22:30:00</span></div><pre class='xr-array-data'>array([&#x27;2018-01-15T00:30:00.000000000&#x27;, &#x27;2018-01-15T01:30:00.000000000&#x27;,\n",
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       "       &#x27;2018-01-17T22:30:00.000000000&#x27;, &#x27;2018-01-17T23:30:00.000000000&#x27;,\n",
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       "       &#x27;2018-01-18T04:30:00.000000000&#x27;, &#x27;2018-01-18T05:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-18T06:30:00.000000000&#x27;, &#x27;2018-01-18T07:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-18T08:30:00.000000000&#x27;, &#x27;2018-01-18T09:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-18T10:30:00.000000000&#x27;, &#x27;2018-01-18T11:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-18T12:30:00.000000000&#x27;, &#x27;2018-01-18T13:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-18T14:30:00.000000000&#x27;, &#x27;2018-01-18T15:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-18T16:30:00.000000000&#x27;, &#x27;2018-01-18T17:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-18T18:30:00.000000000&#x27;, &#x27;2018-01-18T19:30:00.000000000&#x27;,\n",
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       "       &#x27;2018-01-19T00:30:00.000000000&#x27;, &#x27;2018-01-19T01:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-19T02:30:00.000000000&#x27;, &#x27;2018-01-19T03:30:00.000000000&#x27;,\n",
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       "       &#x27;2018-01-19T06:30:00.000000000&#x27;, &#x27;2018-01-19T07:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-19T08:30:00.000000000&#x27;, &#x27;2018-01-19T09:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-19T10:30:00.000000000&#x27;, &#x27;2018-01-19T11:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-19T12:30:00.000000000&#x27;, &#x27;2018-01-19T13:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-19T14:30:00.000000000&#x27;, &#x27;2018-01-19T15:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-19T16:30:00.000000000&#x27;, &#x27;2018-01-19T17:30:00.000000000&#x27;,\n",
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       "       &#x27;2018-01-19T22:30:00.000000000&#x27;, &#x27;2018-01-19T23:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-20T00:30:00.000000000&#x27;, &#x27;2018-01-20T01:30:00.000000000&#x27;,\n",
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       "       &#x27;2018-01-21T00:30:00.000000000&#x27;, &#x27;2018-01-21T01:30:00.000000000&#x27;,\n",
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       "       &#x27;2018-01-21T14:30:00.000000000&#x27;, &#x27;2018-01-21T15:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-21T16:30:00.000000000&#x27;, &#x27;2018-01-21T17:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-21T18:30:00.000000000&#x27;, &#x27;2018-01-21T19:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-21T20:30:00.000000000&#x27;, &#x27;2018-01-21T21:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-21T22:30:00.000000000&#x27;, &#x27;2018-01-21T23:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-22T00:30:00.000000000&#x27;, &#x27;2018-01-22T01:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-22T02:30:00.000000000&#x27;, &#x27;2018-01-22T03:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-22T04:30:00.000000000&#x27;, &#x27;2018-01-22T05:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-22T06:30:00.000000000&#x27;, &#x27;2018-01-22T07:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-22T08:30:00.000000000&#x27;, &#x27;2018-01-22T09:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-22T10:30:00.000000000&#x27;, &#x27;2018-01-22T11:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-22T12:30:00.000000000&#x27;, &#x27;2018-01-22T13:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-22T14:30:00.000000000&#x27;, &#x27;2018-01-22T15:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-22T16:30:00.000000000&#x27;, &#x27;2018-01-22T17:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-22T18:30:00.000000000&#x27;, &#x27;2018-01-22T19:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-22T20:30:00.000000000&#x27;, &#x27;2018-01-22T21:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-22T22:30:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-section-item'><input id='section-3470bd13-12c7-40d9-8dc0-ec6693820328' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3470bd13-12c7-40d9-8dc0-ec6693820328' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>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'>2018-01-15T00:30:00 ... 2018-01-22T22:30:00</div><input id='attrs-ea09aaa3-fd73-4fc7-9d5c-90b544b6c1b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea09aaa3-fd73-4fc7-9d5c-90b544b6c1b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53799e53-65ae-422c-838a-ebf4da7f83e9' class='xr-var-data-in' type='checkbox'><label for='data-53799e53-65ae-422c-838a-ebf4da7f83e9' 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>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>tz_name :</span></dt><dd>UTC</dd></dl></div><pre class='xr-var-data'>array([&#x27;2018-01-15T00:30:00.000000000&#x27;, &#x27;2018-01-15T01:30:00.000000000&#x27;,\n",
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       "       &#x27;2018-01-22T18:30:00.000000000&#x27;, &#x27;2018-01-22T19:30:00.000000000&#x27;,\n",
       "       &#x27;2018-01-22T20:30:00.000000000&#x27;, &#x27;2018-01-22T21:30:00.000000000&#x27;,\n",
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      ],
      "text/plain": [
       "<xarray.DataArray 'time' (time: 191)>\n",
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       "       '2018-01-15T12:30:00.000000000', '2018-01-15T13:30:00.000000000',\n",
       "       '2018-01-15T14:30:00.000000000', '2018-01-15T15:30:00.000000000',\n",
       "       '2018-01-15T16:30:00.000000000', '2018-01-15T17:30:00.000000000',\n",
       "       '2018-01-15T18:30:00.000000000', '2018-01-15T19:30:00.000000000',\n",
       "       '2018-01-15T20:30:00.000000000', '2018-01-15T21:30:00.000000000',\n",
       "       '2018-01-15T22:30:00.000000000', '2018-01-15T23:30:00.000000000',\n",
       "       '2018-01-16T00:30:00.000000000', '2018-01-16T01:30:00.000000000',\n",
       "       '2018-01-16T02:30:00.000000000', '2018-01-16T03:30:00.000000000',\n",
       "       '2018-01-16T04:30:00.000000000', '2018-01-16T05:30:00.000000000',\n",
       "       '2018-01-16T06:30:00.000000000', '2018-01-16T07:30:00.000000000',\n",
       "       '2018-01-16T08:30:00.000000000', '2018-01-16T09:30:00.000000000',\n",
       "       '2018-01-16T10:30:00.000000000', '2018-01-16T11:30:00.000000000',\n",
       "       '2018-01-16T12:30:00.000000000', '2018-01-16T13:30:00.000000000',\n",
       "       '2018-01-16T14:30:00.000000000', '2018-01-16T15:30:00.000000000',\n",
       "       '2018-01-16T16:30:00.000000000', '2018-01-16T17:30:00.000000000',\n",
       "       '2018-01-16T18:30:00.000000000', '2018-01-16T19:30:00.000000000',\n",
       "       '2018-01-16T20:30:00.000000000', '2018-01-16T21:30:00.000000000',\n",
       "       '2018-01-16T22:30:00.000000000', '2018-01-16T23:30:00.000000000',\n",
       "       '2018-01-17T00:30:00.000000000', '2018-01-17T01:30:00.000000000',\n",
       "       '2018-01-17T02:30:00.000000000', '2018-01-17T03:30:00.000000000',\n",
       "       '2018-01-17T04:30:00.000000000', '2018-01-17T05:30:00.000000000',\n",
       "       '2018-01-17T06:30:00.000000000', '2018-01-17T07:30:00.000000000',\n",
       "       '2018-01-17T08:30:00.000000000', '2018-01-17T09:30:00.000000000',\n",
       "       '2018-01-17T10:30:00.000000000', '2018-01-17T11:30:00.000000000',\n",
       "       '2018-01-17T12:30:00.000000000', '2018-01-17T13:30:00.000000000',\n",
       "       '2018-01-17T14:30:00.000000000', '2018-01-17T15:30:00.000000000',\n",
       "       '2018-01-17T16:30:00.000000000', '2018-01-17T17:30:00.000000000',\n",
       "       '2018-01-17T18:30:00.000000000', '2018-01-17T19:30:00.000000000',\n",
       "       '2018-01-17T20:30:00.000000000', '2018-01-17T21:30:00.000000000',\n",
       "       '2018-01-17T22:30:00.000000000', '2018-01-17T23:30:00.000000000',\n",
       "       '2018-01-18T00:30:00.000000000', '2018-01-18T01:30:00.000000000',\n",
       "       '2018-01-18T02:30:00.000000000', '2018-01-18T03:30:00.000000000',\n",
       "       '2018-01-18T04:30:00.000000000', '2018-01-18T05:30:00.000000000',\n",
       "       '2018-01-18T06:30:00.000000000', '2018-01-18T07:30:00.000000000',\n",
       "       '2018-01-18T08:30:00.000000000', '2018-01-18T09:30:00.000000000',\n",
       "       '2018-01-18T10:30:00.000000000', '2018-01-18T11:30:00.000000000',\n",
       "       '2018-01-18T12:30:00.000000000', '2018-01-18T13:30:00.000000000',\n",
       "       '2018-01-18T14:30:00.000000000', '2018-01-18T15:30:00.000000000',\n",
       "       '2018-01-18T16:30:00.000000000', '2018-01-18T17:30:00.000000000',\n",
       "       '2018-01-18T18:30:00.000000000', '2018-01-18T19:30:00.000000000',\n",
       "       '2018-01-18T20:30:00.000000000', '2018-01-18T21:30:00.000000000',\n",
       "       '2018-01-18T22:30:00.000000000', '2018-01-18T23:30:00.000000000',\n",
       "       '2018-01-19T00:30:00.000000000', '2018-01-19T01:30:00.000000000',\n",
       "       '2018-01-19T02:30:00.000000000', '2018-01-19T03:30:00.000000000',\n",
       "       '2018-01-19T04:30:00.000000000', '2018-01-19T05:30:00.000000000',\n",
       "       '2018-01-19T06:30:00.000000000', '2018-01-19T07:30:00.000000000',\n",
       "       '2018-01-19T08:30:00.000000000', '2018-01-19T09:30:00.000000000',\n",
       "       '2018-01-19T10:30:00.000000000', '2018-01-19T11:30:00.000000000',\n",
       "       '2018-01-19T12:30:00.000000000', '2018-01-19T13:30:00.000000000',\n",
       "       '2018-01-19T14:30:00.000000000', '2018-01-19T15:30:00.000000000',\n",
       "       '2018-01-19T16:30:00.000000000', '2018-01-19T17:30:00.000000000',\n",
       "       '2018-01-19T18:30:00.000000000', '2018-01-19T19:30:00.000000000',\n",
       "       '2018-01-19T20:30:00.000000000', '2018-01-19T21:30:00.000000000',\n",
       "       '2018-01-19T22:30:00.000000000', '2018-01-19T23:30:00.000000000',\n",
       "       '2018-01-20T00:30:00.000000000', '2018-01-20T01:30:00.000000000',\n",
       "       '2018-01-20T02:30:00.000000000', '2018-01-20T03:30:00.000000000',\n",
       "       '2018-01-20T04:30:00.000000000', '2018-01-20T05:30:00.000000000',\n",
       "       '2018-01-20T06:30:00.000000000', '2018-01-20T07:30:00.000000000',\n",
       "       '2018-01-20T08:30:00.000000000', '2018-01-20T09:30:00.000000000',\n",
       "       '2018-01-20T10:30:00.000000000', '2018-01-20T11:30:00.000000000',\n",
       "       '2018-01-20T12:30:00.000000000', '2018-01-20T13:30:00.000000000',\n",
       "       '2018-01-20T14:30:00.000000000', '2018-01-20T15:30:00.000000000',\n",
       "       '2018-01-20T16:30:00.000000000', '2018-01-20T17:30:00.000000000',\n",
       "       '2018-01-20T18:30:00.000000000', '2018-01-20T19:30:00.000000000',\n",
       "       '2018-01-20T20:30:00.000000000', '2018-01-20T21:30:00.000000000',\n",
       "       '2018-01-20T22:30:00.000000000', '2018-01-20T23:30:00.000000000',\n",
       "       '2018-01-21T00:30:00.000000000', '2018-01-21T01:30:00.000000000',\n",
       "       '2018-01-21T02:30:00.000000000', '2018-01-21T03:30:00.000000000',\n",
       "       '2018-01-21T04:30:00.000000000', '2018-01-21T05:30:00.000000000',\n",
       "       '2018-01-21T06:30:00.000000000', '2018-01-21T07:30:00.000000000',\n",
       "       '2018-01-21T08:30:00.000000000', '2018-01-21T09:30:00.000000000',\n",
       "       '2018-01-21T10:30:00.000000000', '2018-01-21T11:30:00.000000000',\n",
       "       '2018-01-21T12:30:00.000000000', '2018-01-21T13:30:00.000000000',\n",
       "       '2018-01-21T14:30:00.000000000', '2018-01-21T15:30:00.000000000',\n",
       "       '2018-01-21T16:30:00.000000000', '2018-01-21T17:30:00.000000000',\n",
       "       '2018-01-21T18:30:00.000000000', '2018-01-21T19:30:00.000000000',\n",
       "       '2018-01-21T20:30:00.000000000', '2018-01-21T21:30:00.000000000',\n",
       "       '2018-01-21T22:30:00.000000000', '2018-01-21T23:30:00.000000000',\n",
       "       '2018-01-22T00:30:00.000000000', '2018-01-22T01:30:00.000000000',\n",
       "       '2018-01-22T02:30:00.000000000', '2018-01-22T03:30:00.000000000',\n",
       "       '2018-01-22T04:30:00.000000000', '2018-01-22T05:30:00.000000000',\n",
       "       '2018-01-22T06:30:00.000000000', '2018-01-22T07:30:00.000000000',\n",
       "       '2018-01-22T08:30:00.000000000', '2018-01-22T09:30:00.000000000',\n",
       "       '2018-01-22T10:30:00.000000000', '2018-01-22T11:30:00.000000000',\n",
       "       '2018-01-22T12:30:00.000000000', '2018-01-22T13:30:00.000000000',\n",
       "       '2018-01-22T14:30:00.000000000', '2018-01-22T15:30:00.000000000',\n",
       "       '2018-01-22T16:30:00.000000000', '2018-01-22T17:30:00.000000000',\n",
       "       '2018-01-22T18:30:00.000000000', '2018-01-22T19:30:00.000000000',\n",
       "       '2018-01-22T20:30:00.000000000', '2018-01-22T21:30:00.000000000',\n",
       "       '2018-01-22T22:30:00.000000000'], dtype='datetime64[ns]')\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2018-01-15T00:30:00 ... 2018-01-22T22:30:00\n",
       "Attributes:\n",
       "    standard_name:  time\n",
       "    long_name:      time\n",
       "    tz_name:        UTC"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diesel1000.time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'mplcolours' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-1-f7aa77bd24c7>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mwatercolour\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'lightskyblue'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mlandcolour\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'papayawhip'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m waterland_cmap = mplcolours.LinearSegmentedColormap.from_list('mycmap', [(0, watercolour),  (0.85, watercolour), \n\u001b[0m\u001b[1;32m      4\u001b[0m                                                     (0.850001, landcolour), (1, landcolour)])\n\u001b[1;32m      5\u001b[0m \u001b[0mxs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mjmin\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mjmax\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'mplcolours' is not defined"
     ]
    }
   ],
   "source": [
    "watercolour = 'lightskyblue'\n",
    "landcolour = 'papayawhip'\n",
    "waterland_cmap = mplcolours.LinearSegmentedColormap.from_list('mycmap', [(0, watercolour),  (0.85, watercolour), \n",
    "                                                    (0.850001, landcolour), (1, landcolour)])\n",
    "xs = range(jmin, jmax)\n",
    "ys = range(imin, imax)\n",
    "xx, yy = np.meshgrid(xs, ys)\n",
    "mymask = oilLag.Beaching_Time[imin:imax, jmin:jmax] == oilLag.Beaching_Time[imin:imax, jmin:jmax].min()\n",
    "days = np.ma.array(bt/1e9/86400., mask=mymask)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cnorm = mplcolours.Normalize(vmin=0, vmax=7)\n",
    "mycmap = mpl.cm.copper\n",
    "fig, ax = plt.subplots(1, 1, figsize=(5, 5))\n",
    "ax.set_aspect(500/440.)\n",
    "ax.tick_params(axis='both', which='both', bottom=False, left=False, labelbottom=False, labelleft=False)\n",
    "ax.pcolormesh(1-mesh.tmask[0, 0, imin:imax, jmin:jmax], cmap=waterland_cmap)\n",
    "ax.scatter(xx-jmin, yy-imin, s=10, c=days, cmap='copper', vmin=0, vmax=7);\n",
    "ax_cbar = fig.add_axes([0.9, 0.12, 0.05, 0.76])\n",
    "cb = colorbar.ColorbarBase(ax=ax_cbar, cmap=mycmap, norm=cnorm);\n",
    "cb.set_label('Days to Beaching')\n",
    "fig.suptitle('10,000,000 $\\ell$ Oil Spilled on Jan 15, 2018 at Salmon Bank');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(2, 2, figsize=(15, 15))\n",
    "imin, imax = 250, 350\n",
    "jmin, jmax = 150, 250\n",
    "np.log(diesel1000.Beaching_Volume[imin:imax , jmin:jmax]).plot(ax=axs[0,0], cmap='copper_r', \n",
    "                                                               vmax=3, vmin=-1);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(imin, imax):\n",
    "    for j in range (jmin, jmax):\n",
    "        if diesel1000.Beaching_Volume[i , j] > 0:\n",
    "            print (i, j, diesel1000.Beaching_Volume[i, j], diesel1000.Beaching_Time[i, j])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "222*850"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}