{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import netCDF4 as nc\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from salishsea_tools import geo_tools, nc_tools, tidetools\n", "import xarray as xr\n", "import glob\n", "import datetime\n", "\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 103, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from matplotlib.colors import LogNorm" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": true }, "outputs": [], "source": [ "grid = nc.Dataset('/data/vdo/MEOPAR/NEMO-forcing/grid/bathymetry_201702.nc')\n", "ferry_data = 'https://salishsea.eos.ubc.ca/erddap/tabledap/ubcONCTWDP1mV1'\n", "bathy, X, Y = tidetools.get_bathy_data(grid)\n", "ferry = nc.Dataset(ferry_data)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [], "source": [ "threemonthsa = sorted(glob.glob('/ocean/vdo/MEOPAR/completed-runs/threemonthsa/test*/*1h*grid_T*'))" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": true }, "outputs": [], "source": [ "threemonthsb = sorted(glob.glob('/ocean/vdo/MEOPAR/completed-runs/threemonthsb/test*/*1h*grid_T*'))" ] }, { "cell_type": "code", "execution_count": 53, "metadata": { "collapsed": true }, "outputs": [], "source": [ "threemonthsbase = sorted(glob.glob('/ocean/vdo/MEOPAR/completed-runs/threemonthbase/test*/*1h*grid_T*'))" ] }, { "cell_type": "code", "execution_count": 113, "metadata": { "collapsed": true }, "outputs": [], "source": [ "mesh_mask = nc.Dataset('/data/vdo/MEOPAR/NEMO-forcing/grid/mesh_mask201702.nc')\n", "tmask = mesh_mask.variables['tmask'][:]" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "salinity is done\n", "temperature is done\n", "time is done\n" ] } ], "source": [ "with nc_tools.scDataset(threemonthsa) as f:\n", " threemonthsa_sal = f.variables['vosaline'][:,1,...]\n", " print('salinity is done')\n", " threemonthsa_temp = f.variables['votemper'][:,1,...]\n", " print('temperature is done')\n", " timesa = f.variables['time_counter'][:]\n", " print('time is done')" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "datetime.datetime(2017, 6, 3, 18, 0)" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "nc.num2date(ferry.variables['s.time'][135000], ferry.variables['s.time'].units)" ] }, { "cell_type": "code", "execution_count": 43, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "salinity is done\n", "temperature is done\n", "time is done\n" ] } ], "source": [ "with nc_tools.scDataset(threemonthsb) as f:\n", " threemonthsb_sal = f.variables['vosaline'][:,1,...]\n", " print('salinity is done')\n", " threemonthsb_temp = f.variables['votemper'][:,1,...]\n", " print('temperature is done')\n", " timesb = f.variables['time_counter'][:]\n", " print('time is done')" ] }, { "cell_type": "code", "execution_count": 54, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "salinity is done\n", "temperature is done\n", "time is done\n" ] } ], "source": [ "with nc_tools.scDataset(threemonthsbase) as f:\n", " threemonthsbase_sal = f.variables['vosaline'][:,1,...]\n", " print('salinity is done')\n", " threemonthsbase_temp = f.variables['votemper'][:,1,...]\n", " print('temperature is done')\n", " timesbase = f.variables['time_counter'][:]\n", " print('time is done')" ] }, { "cell_type": "code", "execution_count": 97, "metadata": { "collapsed": true }, "outputs": [], "source": [ "h = nc.Dataset('/ocean/vdo/MEOPAR/completed-runs/threemonthbase/testA/SalishSea_1h_20170307_20170316_grid_U_20170313-20170313.nc')" ] }, { "cell_type": "code", "execution_count": 88, "metadata": { "collapsed": true }, "outputs": [], "source": [ "converted_timesa = nc.num2date(timesa, h.variables['time_counter'].units)\n", "converted_timesb = nc.num2date(timesb, h.variables['time_counter'].units)\n", "converted_timesbase = nc.num2date(timesbase, h.variables['time_counter'].units)" ] }, { "cell_type": "code", "execution_count": 125, "metadata": { "collapsed": false }, "outputs": [], "source": [ "list_of_model_sals = np.array([])\n", "list_of_model_temps = np.array([])\n", "list_of_ferry_sals = np.array([])\n", "list_of_ferry_temps = np.array([])\n", "unit = ferry.variables['s.time'].units\n", "for n in range(14500,135000):\n", " if ((ferry.variables['s.latitude'][n].mask == False) \n", " and (ferry.variables['s.salinity'][n].mask == False)):\n", " Yind, Xind = geo_tools.find_closest_model_point(ferry.variables['s.longitude'][n], \n", " ferry.variables['s.latitude'][n], \n", " X, Y, land_mask = bathy.mask)\n", " if tmask[0,1,Yind, Xind] == 1:\n", " date = nc.num2date(ferry.variables['s.time'][n], unit)\n", " if date.minute <= 30:\n", " before = datetime.datetime(year = date.year, month = date.month, day = date.day, \n", " hour = (date.hour), minute = 30) - datetime.timedelta(hours=1)\n", " index = np.argmin(np.abs(converted_timesa - date))\n", " delta = (date - before).seconds / 3600\n", " s_val = ((delta * (threemonthsa_sal[index-1, Yind, Xind])) + \n", " (1- delta)*(threemonthsa_sal[index, Yind, Xind]))\n", " t_val = ((delta * (threemonthsa_temp[index-1, Yind, Xind])) + \n", " (1- delta)*(threemonthsa_temp[index, Yind, Xind]))\n", " if date.minute > 30:\n", " before = datetime.datetime(year = date.year, month = date.month, day = date.day, \n", " hour = (date.hour), minute = 30)\n", " index = np.argmin(np.abs(converted_timesa - date))\n", " delta = (date - before).seconds / 3600\n", " s_val = ((delta * (threemonthsa_sal[index, Yind, Xind])) + \n", " (1- delta)*(threemonthsa_sal[index+1, Yind, Xind]))\n", " t_val = ((delta * (threemonthsa_temp[index, Yind, Xind])) + \n", " (1- delta)*(threemonthsa_temp[index+1, Yind, Xind]))\n", " list_of_ferry_sals = np.append(list_of_ferry_sals, ferry.variables['s.salinity'][n])\n", " list_of_ferry_temps = np.append(list_of_ferry_temps, ferry.variables['s.temperature'][n])\n", " list_of_model_sals = np.append(list_of_model_sals, s_val)\n", " list_of_model_temps = np.append(list_of_model_temps, t_val)" ] }, { "cell_type": "code", "execution_count": 110, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 110, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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alFwSrb5nt8mT+oq0CCu96jKTJzdfWXafEHcesCuSNLfnHr8vtozVZHKqhnv/6aRLJK0q\n6a2PJ3UgaBktFTw3luB/OaK1KC5zzr1Ufe5xklU5vfd7vfd7vPd7RkZGWtlMQgghhLQRLZ35OYH3\nfsY5dxeA1yFaHGur9/6Ii8zxaCRHCCGEnEY8gPp3DQo2Pi2b+WksaT/Q+H8XIs+k7wC4Fc+vYHwj\nGkvvE0IIIYSsBa2c+dkK4JaG7ieFaFn2251z3wDweefc2xAt4/8TLWwDIaTFaN0EANxZb4XDytoS\n6pdmtfqp61oP49eqNl97zYdEutxrLbT23/q+2HJed/EHRPqOhz9k8hx991UiPfqxr5s8Y78q8+y8\nzTquHLtaSlgWXnOlyVM/V4qgX/KbHzN5lm6+4vn/33S3+by1eNR8+8z8tDLa60EARj3mvZ9EwLiT\nEEIIIWQtWBPNDyGEEELOXCLNT/vYXdHeghBCCCFtBWd+CCGEEMJoL0IIIYSQjUrLvL1Wkz179vh2\nXeE5SUTFeosUOZ3RQaG60xeeJ9KhqJBW0cqxONPPi7VsX5LIn7h9ku63ViQ5d5L0QUdXhZjd1Wm2\n9R8qxe4XV06ojLGrpMVE52T8d1Q9Z10gsvNyv65Ja90wc558+TF3XtXkSfXJ1ZuHNi2YPMPdBZG+\nfPCQyfPw/FaRfm6h3+SZunv0u/8//Kc3o/TcM2tmb7H70pz/yj+OxmdcBfq3P3Of937PmlR2Evja\nixBCCCFrybBzrnlGY6/3fu9aNoAPP4QQQghZy2ividM980PNDyGEEELaCj78EEIIIaStoOCZrFtW\nIl5Osk+Iyuae2DyprzwQW27tkcdFuv5qswg6sseloFLvAwDz118h0vmjS7HlhPqgrQMqefl7KFuw\noa9J8mhy85XYPLq9AFA4d5NIF4fSJo8WsobqKox2iPTkS62OtHPq1LWl2++QVgehMZ66QIp8Bx+1\nIl+dp2fMinOToI9NCH2uhMb9udeNiPTA41YIPPa98lhkSnb8crMyvbhFft/Uc4HvH9WFjknbp+IO\neYwz01bBUdsq++mmc7auYZknnbbn8tmbp0T6rPy0yfPy3mdEekt2xuS5r/Aikf7ys+ebPNNPPX++\nH/nIH2Lp6bUTPL/80pzf94+b16Su4e3PnXbBM2d+CCGEENJWUPBMCCGEENpbEEIIIYRsVDjzQwgh\nhLQ5HkBtHWiAVwvO/BBCCCGkreDMD3lBtMqiIMnS/aG69HL+oXI0OpqqdN1lJk/n7feect2hyJ8s\nVASYihADgDtU2Un6sO8ua2Og26MjigAbeTRznrQWSFXs76N6Vm+J/w1V7re3mt6nlP1ArykYUxfJ\n/XIz9pfp+G6Zp+dpGxE2faFMu0CA2twFMqLJlW2gjavKbUeulVFR5V5bbm5epkNWEXPnyPTiNjte\npc2yfalSYNzVptyMzZM/KtNPXT9i8mx6RA6QHmMAyEpHB3g77Jg/V0atdY7Knby3Y6wnH0qb7HmB\nsqysvsNG0O0YkRFXfWfbPMWqLDsTODHeuFVeo9uyNtrr3OykSPenbLRe3ctj8feLl5g8XUee71cq\nPkBy1WkfW1PO/BBCCCGkzeDMDyGEENLmeHjUGO1FCCGEELIx4cwPIYQQ0u54oNY+Ez98+CEvjNUS\nOCcpVwt/Q/YR2s5Ci35D6H2SkESQHcqjZZBJrDVCaEuJUF3aOiNkmaCtDQYelwLQkJ3E8L0TIh0U\ndqtyJy4bNnmWBqXYtdZh68osynRpyApkRx6QQuCJl9nbWkZpXXW5ANA1LvcLCU612Funq93226O4\nVR6r1JKdcHfq0KSsWwlykwFFsaLaq+wj0rY9T/6otHlwVStzPXa5TKdLtpxqn9yvYyLQPlV0pSzH\neGjAWmvU6nJ8FgOWE6mUbM/Zm6wIuTMtD+B82QrNt+elKHowZ0+M+brcb7HeYfKM1/IiXYMt59HS\nVpnn6bzJs+v3v/7d/z/nC+Zzsnrw4YcQQghpczwY7UUIIYQQsmHhzA8hhBDS9jjUsGYm8qcdzvwQ\nQgghpK3gww8hhBBC2gq+9iLrhiSRZTq6S0dyhaKikthH6Lp1JNVKywlx9Rs+KtL7A/tce43sV6g9\nKWWdkQvkee510tpg8/1Fuc+8DXnSlg7Z+UCE0+XSJiNkS6HZsn/CbNN15cdsOZV8/G+4TlV0yQaf\nmciokF2DJjsvXxNU87Z9mQXZvlqnzZObk3nK/YHoqk1Vs02T6pZ5qrCRST4Xfyx8jww/CwlhnYq4\nqg1Z+whXk/3SNefSNgKx4mSuc4fnTJ5cSvazM23HJqWsKsp1+3W3tVOWvTU3Y/JoW4ruQCje8VrA\n10TxzdntIl0btNdW8/3BOXdfbKGriAdQb6NQd878EEIIIaSt4MwPIYQQQih4JoQQQgjZqHDmhxBC\nCGlzPNpr5ocPP2TdkMSqovbI4yKdRDyshcpJrDWyIWsNtZ8WJQPAFTfcZLZp8kpkvPsdN5s8gypd\nGLXC1uqNV8bXNSZFodqW4tjVVhmsLR1qtmrsvG1cpA/92IjJk1XOBlp8DQAdU1KBWdxib861DmWT\nERD0pmoyj7aTAIDcosxTGrTl1JVYuTIkhbapglVJV0bl8cwezZo8WlxdHQqIm5XAuKvfCoy1fURt\nwIpqnRIUp/usnDmTlQM00GPtGiampci3s6ts8mi29s6LdLFqx6IzI/t+vGDtU7QFxnmbxk0e/WJj\nIGBdkQ2dCIoXdxwV6Vxgn4tzx0X6zsIFJs+2LimufqDePg8aZyJ8+CGEEEII6r59Hsio+SGEEEJI\nW8GZH0IIIaTNaTfND2d+CCGEENJWcOaHEEIIaXM8HGptNB/Ch5/TyGrZIWwEdCSXjtoCrIVDuddG\niux/WI6XLjcUgbWvvvw+AJAORHfFEYrAyhZkZE3IPkLbUgzC2lKMXSXtIzon49elT9tV+VHtlNPc\nOrqrPBA/DR4qV9tShPIsbpFtdgEPhUxBpqvdNo+2pQhZTKTLsh9LQ7ay7jF549eRXdE2uV9mWt5C\nq302EsgtylCuykggkmtclpOZtLfm9DkyPG7pWRsFhSE50B15G4HV1SG3lcr2OkqnZT91dBUA1FUE\nXSZlx7RH1dWbKy2bBoDFak6k81nbh+mSPP8nS3mTZ0deWlWknD2eL+48JtI1v7Iv/3Oz8ljMdx00\nef7uiLyOs+P8+j2dcPQJIYQQwmgvQgghhJCNCmd+CCGEkDaH0V6EEEIIIRsYzvycRrSYOYkAeqOi\nBc4hgfGdd0kh8krGa99dVsycxDbjjoelUDq0j7ah6ClYAWhI4KzRfQ/ogNF/UNlSBOqa26XEuFYT\nauwtuiZlujJrfx9pkXTI3mL4oaJIT13QafKM3lOKzdMxK0WqIQH20oBMd47bNi8pqwotbg7RMWnz\nuKrcpoXmUy+35biqbLO3+mJonW2txx7PlNJj1HutcLq7W4qDtXA5hLa7AIC6sl6oBawYRkdmRXp6\nwarR+7vkMX5qRhqzdGVtH4a7pMp9omhP3P4OWW7IJkMLnKfLXSbPWHmTSJ/Tcdzkqas5gu8sbTZ5\nvqME/ffOvMjkOb4gRdG1gKC++Z7Wi02vNBk2DsPOuQNN6b3e+71r2QA+/BBCCCFtj1txtNsKmPDe\n71mrykLwtRchhBBC2grO/BBCCCFtjod9xbeRaZ+eEkIIIYSAMz8GLaJd6QrLK1m9ebXqWstVoZPU\nnWT1Zo0WGIfKWUl7Qis8a6lkZbNdOVfXHcqjxbkrRfc91GZNJW9/x3SNx4uiQ/s1kz9ql2bWwuRQ\nv/Xq1knGppq3olotcM4s2v1SFZmnsM3W1TEVL9IeeUCKb49clTZ5svOynIWdqi0lO55agF0aMVns\n6tY9VgjslejYZezxrNVUXYs5k2dgQAqKR/vnTR692F1ohefpRSkg7s8XTZ5js70ivWtoKrbcp2el\ngn1Tty1XC5w70na8sim52nZ/1q4mXVeh3fcVdpk8/RlZf0/alnOoJFdG70rbwAYt/p7ptMev+X7l\nnLvPZGgxDHUnhBBCCNmgcOaHEEIIaXO8X9Nor9NO+/SUEEIIIQSc+SGEEEIIrAZqI8OZH0IIIYS0\nFZz5UaxWpFTIniGOldpbtCq6K0kkV/3Vu2PL0ZFRqUdW1p4kUVCzu2Qk0p63SsuJAwF7i6vf8NHY\nusu9chn8kE2Ftn0I/bao5GWYUWGbzaPbXAvYPqRtEJZhaTC+PaMf+7pIT994pUhriwwASJVlNFWo\nDyk1PH2HbDTO2FUyWqjSa6O0eg/JdCgiTJMfs3nqKqQvN2nrGt8t++pTNo9Xw6HL9Tm7T3GrjDpK\nLdnxMuUE8lTn5HnQtX3B5EmpNg/3FUyemorkyphQM6DsZaSbtooAgD4VvXR277TJ80RdRkFNLEqr\nilC5lZqse7FirSuGumTYX2cgumpG2VnMVex1NJCV5fRlbCTX4eKQSI/kbHTcxJK8x+3qnjR5nlvs\nF+nMnI0mPJ1ExqbtMx/SPj0lhBBCCAFnfgghhBCytt5ep5326SkhhBBCCDjzQwghhLQ97ebtxYef\nVWClQuXTaUuxEkIC49RXHhDpkAWFkSsmEIOHytHC6exxK/js6pW1afuGK264yezTe/u9Il267jKT\nZ+Y8ealkClasaMS4UyaLQQuDAaBrUgpkQ6Lj9FK8XYQue+u+cZOnEOhrM9Vuu23wkGyfHhsAKEtX\nAxSH7Hhp3Win1Ygae4t6QCOqRchLQ1bAm5uR50G124qinewWqn01k6em9usclw3yafvl4bPyWNUG\nrPgbNVluxyYrvNXUA9YQGWXzMF+yPh5dOXlidGRse1xNttl7O14d6lgsVq2Vxua8vEa1mDmbtmO8\nq19eOCnEn+tHFvvMtu35WZGeLNqT+bmstNIo5qx/SkjgrEkp0fhMxdaVSck8ofOr+TuhF5teGVsx\nWTHt85hHCCGEEALO/BBCCCEEdhmEjQxnfgghhBDSVnDmhxBCCGlzPBwXOSSEEEII2ahw5ieGUCSX\njspKEqW10ogwTSgKSts+rCSKbLWsNULlaAuMUJSWpnDuJrMt/6RcPv/wj4yYPP0HZURF/qj0gdD2\nF4CN7upU0V8AMKrSIVuPsoo00+0FbL/6D9lwLzs+dix0hFXHlI2I6RpXESiXDJk82ppC2110BaLB\ndARdpmDr7lCRbjqCLapb334CthQqWElHZIXQkV2h/cp9ts06Oi47Y0PLusZV9JkKZax32Eiz7Kxs\nT27M2jUUR2R7lrI2SgtVWXe2r2yyzC9KS4dMLjDui7LsmYUuk0eTzdpyKhU5Ppt6baSUtqEwbanY\nCDFtgTGat9FWxxZl5OdswfZhTkW6dWVtVNuz8zLaa+dme80eWZK2FF0BK41STR7TZxbsNVtWkW5I\n23Ow+X7qnLvPZGgxdS5ySAghhBCyMeHMDyGEENLm0NiUEEIIIWQDw5kfQgghpM3xcG21zs+GefhJ\nIthdiX3EallOhMpZichYi5tDpBPYR+i6Q/vUHnlcpPfdZcXWmlA/QyJtjbauyM1bUaEWC+/4/a+b\nPPPXXyHSWuA8fO+E2UcLgYs3Xmny9B+SdgNa3AzYNus+Adaqou+QyYLCqGxPtmBFtFrgvOmWb5g8\nWpRdGLUiWl2OHr+lfnsz7BmrqTxWGJwpyXIXtsXbW4SsNCo5WU523ran2i3zZBZtHm2BEbIV0XTM\nBATY6rCXe+OtF9LleIuObEHmGfyWPb8K22Se4vaAlUZGWWlMW0GxTynrii1Fk6dalo1cmrKC4sHt\nMyIdEh1Xlch3RNldlMr2nKwp245yYMD6O+T1qOsBgAuHjqpy7NfdsUXpw/JMMV6o/PC8Dn8AimV5\nvIZ7CibPXFEFW2Tjzx3SOjbMww8hhBBCVk47GZu2T08JIYQQQsCZH0IIIaTt8R6ocZ0fQgghhJCN\nCWd+CCGEkLbHoR5YZX2jsmEeflYrKms9shI7i9WyvNCRXKFoNL0tSfRX2AJDRk9NvN1GZdVz8uLV\nFg8Tlw2bfZYG5T4hu4Yk1hXHrpZld8zacrbuGzfbNDqqrTgUiHZR0Wchjr9CRt+ELDAqvarvKkor\nLd1BTtoezfzZclK5NGjr7nlWphe32ai2jIruyo/ZcqYvlOlUwAKjsFVu1JYTIULRZ6XtMWFiNfvl\nsbRJ9SvFOdKzAAAgAElEQVTBfPvEf7D99Mo6wxXjC6p32jGFk2VXxm2Ulq4LgWKmJ2WkVL7fRo3V\n6nI8pkvxVhpLVXl+JdknxHemtoj05ry9p2zpliGHuZS1wPjm2HaR7szZcyCXkfulnD1+hWfkeCGf\nwKuFtAy+9iKEEEJIW7FhZn4IIYQQsjI8KHgmhBBCCNmwcOaHEEIIIW1lbMqHH0USAW+SPElYiUg7\nJEKOKyckMNZtDpWr7RFCaAuMJGJmvQ8A7HtY9mH3O242ebbsV9YUF3SaPNl5KTTMH5WK3dRXHjD7\naEuHJISE09r2IWTRoUXRWqANAGWli9TWDABQ2CZFoP5VV5k8XceUsLXX1rW4RebpOySVrcURW3mq\nHC+KziyqdHd83T2H7Y23sC2+D1rUm6rYPB1TUkTrAlrTmrLSWBq2mbLjcjzyY7Iu3ScA8EofXuu2\neUwfFgPWFV1yP1cP2HhAlR0Q3rolWXawHOU6kSrb9mSHpcC5p9OeCD25skhXlXXFwpK1t8ik5Fgs\nLgUsOlQ6FKPU3yWDApZq9lze3i0tOuYr9p5ywebjIn1s0drWTM7IbaWytSfxSuA88lWbB2+1m0hr\n4MMPIYQQ0uZ4ONTbyNi0fea4CCGEEELAmR9CCCGEoL00P+3TU0IIIYQQcObHsFLxchxJhMrXXmPr\n3neXFBCnLzwvtmxdbkhgrIXJIdG0bs/Vb/ioyZNToujAQrCWzVZIrcvuyK/subxrUooKn3uVFAb3\n7LKrQusVnusBHWJuJv5d+MTL5OWUCggs9arBnRMmi1mhOBVYzFm3sSuw8rHuV3HE5tGCXd2H/oP2\niOrVm+uBBZ+1SDs3a/MUR2S63G/z5OZk+7QAGgByM7I9oXK0wFmLmwGg+5isq1SzHUspTe/MRWpl\n31L8eetTtu70vKyrlmD133oojzpcrtPm8UrXke6zQmU/JYXIfsCK94f6CiLdky2bPF2Z5VfEnirY\nZbS17sQFRNudWTnuSxV7rdV0P509l7Nq20DOrlJ9eF6uuD6zYNvsD8ttmWP2fpFW526SVdrXEg+g\nznV+CCGEEEI2Jpz5IYQQQtoeh1obGZty5ocQQgghbQVnfgghhJA2h5ofQgghhJANzLqY+XnsvoMi\noimJLcRKbCCSoqOnQnVpQlFampD1QlzdgO1XXPQXYKO9QrYUhUuGRDpbsNEShVEZFdL7ubtj2xeK\nGtMMPDhptum+168dMXlmzpOntLZ40BFQAJBSASlVu8I9OmZlOTriCQAyKngjFHXUraKy5nfZPNU+\nOc7937FRR9ZGwfZLR5bpyK5QnqqyXpg9x/ZzaVDm6ZiK1wmUBm3ETqYo9wtFYPWMyXRovPR+QeuK\nPGLzLOzQ9hE2j45sSxdUlFafjEICgMy0PCdD/az1xkd3OVWXG7TRVfWCrMtX7fEb3iEtHQolax9R\n65X7bRpcMHku2nRMpLd0zJk8MxV5gk2VZXrngGwLYC0wtN0FADw3Ky+u3oC1RldWXtjDnQWT59nF\nAZEOWVccOybzpMYD47VZ1pU5aENGX3S7vEHoSN4zAWp+VgHn3E7n3F3OuW875x52zv1SY/tvOeee\nc879e+Pvh1rVBkIIIYQQTStnfqoA3uu9v9851wvgPufcnY3PPua9/4MW1k0IIYSQhHjv2krz07KH\nH+/9EQBHGv+fd849AmB7q+ojhBBCCEnCmjzmOed2AdgN4J7Gpl90zj3onPsL59ymk+zzdufcAefc\ngQrs+1xCCCGEkJXQcsGzc64HwBcA/LL3fs45978B/C6iyLrfBXATgJ/V+3nv9wLYCwB9LqCWjGG1\nRNEhIbAWL4csMXTZIaFyXLlJ82gbCv1EG+qDprLZCv206HjismGTZ9Mt34htn65/f2C8Ln3Xx0S6\nOGTr6jpXPidv3Tdu8hxRIuieMSkknboo/pTvnLSnmxZ79x62+y31S7FgPmA5oQXEvYdCp7bMUxqy\nOUYekPsVtlmhYmYRKk+8vYW2nKhn7T5d43Kf3Eygn+o0CImttWi71m2FrYvKYiLUnnqH3M9VA9YC\nJbktNLufKcULsMtD8nzKTSrBc+BWVd8hha4Btwb4iiynb9CKc+cmpWq7s9NaR3T2yYM+2jtv8kyX\nlOVLl/1xqbd1Z21dsxUZGXBxz3Mmz47clEh/tXy+SGcCqvKKl2PRnbHC7otHjor0RClv8syXZTDG\nocqgyZNSB+P4RJ/J42vqvAjZiihbE33fAc5MgbOm1kavvVraU+dcFtGDz2e8918EAO/9Me99zXtf\nB/BnAC5rZRsIIYQQQppp2cyPc84B+ASAR7z3Nzdt39rQAwHAGwF8q1VtIIQQQkg8HkC9jULdW/na\n63sAvAXAQ865f29s+wCAG5xzL0c01ocA/JcWtoEQQgghRNDKaK+vIbTyGvClVtVJCCGEkJXgqPkh\nhBBCCNmorAt7i/NfeQ7uPLA61hSnykrsJFZKKGrsihtuEum7A3l0NFX8Qvm2rpDlRLlXRlf1HyqZ\nPJqZS2xoUv6ojBwJ1ZUdshYOGh2pFYoI6zsk7QX0PjUZAALARkWVhgI2EHlV94gN2Rl4VKZD1hDa\nAiNUV/9BGQFTz9k82l5D2y6EqNsV9429RVq1L7No69ZjWB6webIqWClkb5EtqAistB2velrup9sX\n7aeiz+ZsOWVlGaKjvwCg2pkgqDQQbSZYCvShIre5cmBCXEWWLSxYj5WO3vglP4pL0nrhiLfRS05F\nOGk7iRD5nI240pFSO7NTJs9kTUaRbu+SdhbdaVvu0SXZ5p2d0ybPtLLNeGrORnKd3Sv3W6jai//J\nCXW/Grd5XEb2s+uIvdiKW+Vdt5K3xziJ7dDpJDI2bR/ND2d+CCGEENJWrIuZH0IIIYS0lto6nQ9x\nzv0IgP8EoA/AJ7z3/xy3z/rsKSGEEEI2LA0HiOPOuW+p7a9zzj3qnHvCOfd+APDe/733/ucBvAPA\n9UnK58MPIYQQ0uZ4ONT92vwl5C8BvK55g3MuDeCPAPwggIsQLZ1zUVOWX298HsuGee2VRHSsBWZJ\nBGehPLqu+qt3mzzZ4wsincQCI2QNoQXOSSw5dJ5Q3VokXQxYV2iBs+4TAMxcf4VIa3EzAMzusuJN\nTdekFgza5/LRe2R7jr+iy+TpPySX4e86puwHAoJnLToO2Vtoeq37AOZfJMvpDthbVPPxFhgz58u+\npxNY22khNQCklCOBFjcDQLlXCYqVGNcH7hDVLmVLkbN5tFC62h8op1eJkAPi6qpqX73LyvlTRXWM\nA7YUXm0LBQXoPOipmjyZo7KzlX5lrVG3fXBKXF0fsOW6lOrnglWnV5QDTV9v0eTR4uWZSWtb49Kq\nzWk7Xh3KOqNQtgd5LiOv60dK22w56iTU1hUhrux7MjbPfE3W3ZO1wunxkux7CoF+ZuWxKGYCwvxZ\nOaaha230/8ljrK2BAAAJ7IvaiGHn3IGm9N6GpdV38d5/teEL2sxlAJ7w3h8EAOfcXwP44YZx+ocB\n/KP3/v4kDdgwDz+EEEIIWTn1tXsZNOG937OC/bYDeKYp/SyAywH8IoDXAOh3zr3Ye/8ncQXx4YcQ\nQggh6xbv/ccBfPxU9uHDDyGEENLmeA/Uzvx1fp4DsLMpvaOx7ZSh4JkQQggh64F/A3Cec+5Fzrkc\ngJ8EcOtKCuLDDyGEEELOKJxznwXwDQAXOOeedc69zXtfBfBOAP8E4BEAn/feP7yS8jfMa6/VWio8\nyRLkq1WXju4KWWloQpFlK1k2vbJZRkIM3zsRmyfUvl61bfrGK02eJJFcxaH4qKz8UZnW0UyAjSwr\nbpHTuKP32AiZcq+MrFnYZiNStMVEKHIqN6vKDdg+6P0qPfHTzKG6NC6Bp0nI3iI3u3yk28JOGGrd\nKiKmHsijAvy6xm0/F7fJckKeil5FQWUn7S2rpmwpOmYC466CnoIWGOeqc2PSnoS1HhUppaLj6v02\nkst3qDF+2kZOlUblfqnFgE2Gk32frcWfGKmcPTHqZXl+Z56zJ0b6QhliqK0sAKAvJ8OeZqs2+nKr\nssXYnJ0X6bGlAbPPcEZGldYC/thPFaQtxVTRjkUmLfvenbU3jFJZ9t1VbV3dx+S2VNmORWGbPF4D\nD5osKJy7yW48wziT7C289zecZPuXsAoG6Zz5IYQQQkhbsWFmfgghhBCyMqJFDttnPqR9ekoIIYQQ\nAs78EEIIIQRhfVWLiF3hudWsi4efx+47KES9qyU4DhFnFbHS+kPlaMFzEiuNbGCJdG0xoa0rQkK7\nvLKq0OJmIGBnEah7QtlihITK+299n0jvfsfNJs+W/VZwHVdXdt4KD3X9XcdknpAlRqagrAVy9gZQ\n7pXpVEBgrAXFmUWbR4u082NWLXxMacZTJduezim5LVTXkjrseh8AqCtttxVpBywBJuWEcXGHFZKm\nCrLg0qBtX98TspzFLbauurKLCImZddmLowEFtt5na0AtPy8PYN9hOzE+d4ESNPdqDxG7jx6L8oBt\nX9dz8lYcsugo52XaB+qCttcICJ5TWb3NCp5LxYBnieLb41tEujoU/yJhriqV8NNlK1SuY6tIz5Tt\nNbtQkRf6QtHeeEYH5kR6qmDrWirKvqcD19r82UpQH7iOHvm9d4v06+74gMnTefu9Zlsbs9IVnleN\ndfHwQwghhJDW4XFmRXu1Gmp+CCGEENJWcOaHEEIIaXsY7UUIIYQQsmHhzA8hhBBCUF+7aK/Tzrp4\n+Dn/lefgzgMvPMJrJTYQKy1nJXlWSrYgo0eMDcW5l5l9dASYjsgCgKvf8NHYukPRXZprr/mQSHeM\n2p10e3LzNhpH19UzZiNZ5nZlVB4ZndN/yJarLTHqgUCX/oNyjCcutTeJTFFu6z1so3r0MvjVTltO\n3xNyW98ha5mg7UCWBm05PU/LKJXZF5ss6HlGpud3yXR23pabkw4F6Ji20UI60iy9ZLKY6K7MYnxU\nWwidR0fmAUBNjXMoHqxjSkeo2Yir9LzMM/gNmZ54pS05NyOP+dKgPW+rXSriMGBF4pZkOT4V6IWy\nA+l8otNkKe6SlhP1IXt+6S+Gctl+VWzdJKOpRjvnTZ6Kl+MzXpJRpT1Ze2J8Y2yXbF9AhNvdIfvg\n7aFCrS7H68LhYybP/Us7ZHs7bUE9z+hr1talI2zvePhDsXnI6WVdPPwQQgghpHV4D9QY7UUIIYQQ\nsjHhzA8hhBBC2iraiw8/hBBCCFlLaG+xEpJYTiSxk0jCagmVk4jdQnnqr94t23NXfDm6fSHx8D5V\nTqhPeTVeRkgNIKfaV+61Sk1tk1HdZRWD+aOyjYWAKLo0pKwOZgNWAuWA8nGZtgAAVHtCAuOJl8lL\npWPGFqOtK0JiZi1kDQmVdTkL29Imj7YDeexnh00eW78dm8VtMk9a6khRDwjas2OynEqv7UNWDbPu\nE2AFzlXrPoByvyonIJzWbQyJpIsjss3Zgh3TbtWvmZcsfy4BQHGLPAdTS/ac1AJnpy0oAqRLdpvP\nqmM1aW/f1T5ZV8gmw6XltlAvqwVl+5APHEDFg1PbzLbBTum7MlWSB3mxaqMLshnZh0LJ5jn6dMAv\nRXHWDqnm70rH98HVAoEMyv4mPxaw1VH3Rh3kAQD7AiLoNob2FoQQQgg5vXg42lsQQgghhGxUOPND\nCCGEkLZa5JAzP4QQQghpK9blzM9KV2YOrboZx0qF00naqAXOlc09Jo8WEIdE0bpfuu6Q+E73ayVi\ncMAKiLPHbZ6ZS4ZEumvSrnCrV1k+8Mn3mDxJROO6rkpePt9PXGaFwaH2aIYfsiJoTUiYrMnNSLFk\necD+0uqYihcUH7l2RKS7xm1dGak1hc/YcvTKy3qfkh0us1J0/xMBAagSIddztm69CvTAY3bF4vHd\narXrMdue0BhqusbVKtD9Ns+sugRyc/a3YWmrFM3W0zJPtmDbUlG/MWu99nzTq4qnyrZun5HjXOu2\n456dkedgLbAacSon60+n7bhXj0hh8o6z7Qk2vdgl0lv75kyeZ+bkQGdVXTVvFfXjx9TBCYwFlGg7\nPWO/yhYqsuznCvagV9TK1UPfslVlSkrwfNSq7nVgSogkq0CfTjzCq2lvVDjzQwghhJC2Yl3O/BBC\nCCFkdWmnRQ7bp6eEEEIIIeDMDyGEEEI81/khhBBCCNmwbNiZn1C0VRK1/WpFQSUpx9hFbLYRA523\n3ys3JGiPju5KfeUBk6d03WUivf/W95k8KxmL0JjqcU9ik7HnrTebPAdU2aHor7s/+16R1mMRsrfQ\nEWLZgo1+yT85LdLPvH7E5Nl5m4yI0RFZAJCdl5EjOroqRGGbjerpPSTT1WH7i01HlvU8bcueuUDv\nI9Oh5f67J+JtM3R0VyhqbMddRZE+enmXydM5JdOL1kEh0RhWVdRTabON3tO2E6kpG7038JCMvpy5\nVEZ/uYC9hSY9b8ut9cn21HP2HEQ2PsJJ47OBYzMjQ8uyI0WTx2+SPic6sgsAFhdlNFWlx/arXpfj\n0dkhyz38jD0x0lNyjP2o9frw+lhV7FjMLMk2H5vtNXlwXPahuMWe7ztvmzDbNPqeFrpXnmnRXRqP\nNV3nh95ehBBCCGkr6O1FCCGEkNMPNT+EEEIIIRsUzvwQQgghbU67rfDcVg8/WpQWsq7QQumV5omr\nO1RO0LoiQV16v31KWBfaxwipA2hRtBb9AsnGVDN945VmW/8hKWrcdMs3TJ7dHVIE3aGEygBwxQ03\niXRV2WYUA6LawW9Lsam2xACsLUbvYStIPXa1zNM1bvMs9cubi7Z4AICU1ITixZ+2gkvdntysLadj\nVopdtVUEAPQ8K7cVt8jPfcCxQ7e5HLDfyI/JugsBofLYVfJYpAIuI6VBWU7IPqKeXj4dKrvzuL31\n6TEMWWDMjchjmtLi5cBcuk/JPtQ77HmRKshyOsdtQeV+WU7o2FRGpQA7PZk1eVKqkUuFnMnTkZcn\n4VLZjlc2J6+brkzF5OnMyW1HpvtkhsB3bS2vDlY53jYmtDZfVYmtlxbtWEBZhoSua207FAqaiNuH\nnHnwtRchhBBC2oq2mvkhhBBCSJh2eu3FmR9CCCGEtBWc+SGEEELaHA/aWxBCCCGEbFg2zMyPjjIK\n2VuEtsWRZJ+VlAvYKC1ts5AUvWy6sXQILLWuoxFCkWYV1Z5QxJqm/mpr0VEYlUvI68guACj3ykiM\nfKDNPWMyCiQ3b6NLjr9CRhBtvl8u3d8ViH4pDsloklqHyYL0kkxXOwNRR8rSIVuw4UvzZ8tLrpaz\n9gPDe2Wk28z1V5g8S4OyLm3fAACz58jfNtmCzZMqy/o7pmW5IWuNdFnmCUUdTb1Upl0gkiujTgMd\n2QUATgXfhOrKxgffoKKCbzoDjgU6iq3aadujo7BKKvorZEuRKqnfmIGfnPVuud/iLjtgOiKs3mnr\nynTKCKxqIHIx1assOWxzDB05aweyMC9Puslit8nj1UxC5Zi8Pl1gLNILcqM/q2zy1JRFRz1wHS2W\n5bXe9R17kRS3ynEOWdvo+9dAINpL21nceZe9n64H1tDe4rTDmR9CCCGEtBUbZuaHEEIIISvEM9qL\nEEIIIWTDwpkfQgghpM1ZY3uLYefcgab0Xu/93rWqHNhADz8rFR1rtPBXi4kBK67WYrcQhXOtj8F+\nVXZIdKy3herS7dmXwBKjfK60rij32vYNPDgp0pWAmHmfEvZpsTUA5I9KtXBoeXhdf0hcnYfsu7aT\nAID8mBQsarHi/Nl2sjOzKNPZeSuezJTktukLbTmbHrFiSU1KabR7nrF5Jt4u7T+q+fgbUv9BW7cW\nZWuRNGBF2n2HpLA1FbAWKA+odK8dL93P7LytW4uQUzWbJ7Wo85gsppyQiDwXqF+ztEmOYbpk9/Hq\njplRdhu5o/aWqgX0pRHbicyMEt332OPpVb9yk4FjAykETpXteVpflG10SwErjUGZTqUCQu60bM9s\nwVrHVLQthq4qcMlk1LhXn7bldqo8S8N2TGdnpQB7S+ga6ZYNquTtuaPvXyFC3xNkWSa893tOZwM2\nzMMPIYQQQlYONT+EEEIIIRsUzvwQQgghbQ5XeCaEEEII2cBw5ocQQgghZkXujcy6ePh57L6DImIp\nFNkVimjSJIkI06r9UARW3D7B9qjoqlCekDVEKDJKoyPAdJtD5Xbefm9suTq6a3aXXR7e9DNQl7au\nyB6PrToY1Xbk2hGR1pFJADB1kTylew/LCI+QdcXgt2U5lYAlwFK/vCnoCDHARpL1HrZ5tA1FJmA5\noa00oiBUyeCj0hti6oKAv4VCR8IBwMz5qq+HZFJHgwF2vPSYA3Z8SjYwD91jsl/FLfE33qp1UEBK\njVc6sER/6Lib9hyVYxGKYtPHJr0k6wrtoyPN0ov2/MqqqLFaj8kCp2xFyqP2/M9MymMRsn3Q0V3p\nYRvN1N0tt4Veh2SV5UVxzp6D2S4Z9uezKqJuLhAdp9pc3xGww5mQBzQ7HYhY65LRcCHrilRN1r/U\nb7Jg4EF5D05i80POfPjaixBCCCFtxbqY+SGEEEJIa6GxKSGEEELIBoUzP4QQQkib49vM2HRdPPyc\n/8pzcOeB5cXKWsycRACdhJC4LU5gHMqz/9b3mTxGmByoP4kAu7I5oI5sQltQAMksOkpKqDx874Qt\nXO/3lQds+66/Ytn2JWX4oWJsnoxaul+LHAcei69Hi5sBoGdMLp+/AGstoMXBoXKGH7Ii1TgWttm6\ntPg8JEyuy8MXEFIDXhWtxd4hgfHMeZnYPHVVbrXTCm+1bUc2oO3XAnEtbgaAjNLDdkzZugrblKA4\nIIDW9YcsMZYGZNkdM0qEPGRtFnLzcry0fQNgbRV8yvbB3K0rtpzqgKo/cFNJD5TtRkWxKG0ygoLn\nrKwrlbN9ry4pK42KPL9qvXafrLIIyTxq7S06pmVan+sAUOuUG0PWFfp8Conu9T14tb5byOllXTz8\nEEIIIaS1tFOoOzU/hBBCCGkrOPNDCCGEtD20tyCEEEII2bBw5ocQQggha6n5GXbOHWhK7/Xe712r\nyoEN9PCTRIG/EguMUBSUjgBLYktx9Rs+avJ0qnKysHXp6K5Q9JneT+e59hprv1G+Ttpt5J+cNnly\n83Jp+mNXW4+CjlkZQXF3wOojVL/G2G0Exl1Hre15680mT6os2xPql0aPV/HGK02euV3yUukat2E0\nOjKpa9JGshSHbOSWJlNSEUWzNkolf1SGqYxdZSNilgblfqlAdFBuVqa1RUcSnO2mIVWJ31bYZvvp\nVXNCkVJ1VX+l1+bx6k4XinxL0p78mCx7Yac6DzrseVEyx8HWraPuUiV7HFLK3sIFIrlq3arNAeuK\nellVFrCYQL+ypdD7AOgallFjlUrg3M7IRqYWZL90v0OEjpWOMAyNab1L1p0t2OPZOSnHVNvGAPZ7\nI4lNEollwnu/53Q2YMM8/BBCCCFkZXi01zo/1PwQQgghpK3gzA8hhBDS7vholed2gTM/hBBCCGkr\nNszMT6tEaHppc8AKeFMhSwclgtbiYSAglA6UowXXIXG11j2mHpHpcq9d+10LgQvnbjJ5tAi5Y9Ta\nVGjhbQgt/g7ZccSJtgE77v2BunRfZy4ZkvUUrEo0t1mOaUioDGVnUdhmfzcMPC6tK0LHXAuny722\npvyYTIeW3C+OSIFzbt6WM/yQ7Ie2pQCAjBKBLuyUn3cfC1l0SJuRkNha0zlly9Hi9HQ5XpCtReWA\nFb/2HrbHeO4cmc4UbF2ZRbktNxcad9VmJcBOle21tu1r8jhMXWSPQ005ThR3WBuUTEHZivTan+lO\nidrrMzmTJ61Ex8YSA4Cbl/0IiasXn+qTdQWsKnJHl29z5zF7HS2eLfveczAwXsqeJCR4zk7LsnPz\nVsysr+uJl9lzeRj2nhtHyIYo9F1ypkFXd0IIIYSQDQoffgghhBDSVmyY116EEEIIWRkeNDYlhBBC\nCNmwtNXMz0pWeA4J1/Yp4VqoXC2CDgmyk6x8HFcuYEXRM9dLYfLAg5Ox5YZWQtbyxSTi5tCqy/1K\n4KwF0CFCwm4tZjarQgOAXrlatTk0fsffeZVI9x2yYlONFgoDwMI2KZ4sDdnLK6UGNT8WH1uam7F5\nSkPxv9C0uDrEzEtk2QPfkeWWpF4cgBU4d07a9lXzp/4LMrRStBY4VwIi344ZWdfM+fY3nc/JwjPj\nNk9daZVHHrDnwTM/IOvyGdmezJxdsvj4HnkcMosmi6UWEIjXdN1WhdxzWParOBIYC7Vp4Fv2PFnc\nEn9elkfkmHYftGLvqlpxOq1E5XUlXAaATiWS1iJzAOhX8RDzu2w5erXrZ6+xYuaUuqVlQproFbAe\nxM0WGpsSQgghhGxY2mrmhxBCCCFhuMghIYQQQsgGhTM/hBBCCGG0FyGEEELIRmVdzPw8dt9BEVGV\nxMoiFIGlI4hCkT+akM2CjgDT0VYn20+j6w9FOGnLi1BdGm3hoC0eAKD3c3eLdGhMTaRbgvHqT7AU\nfJKxwWZbjraLCI6XYuoCGS6U3nWlybN133hs+4o32v3i6D9oo3F05F2orrFfldFnoeggHSW2NBhv\nH5ENWGCkKvL3T8+YjHCq5+wtQkdFdcxaoUB5QLYn1IfBR2VoTXnMRgvpCLpKwA5Elx2qq5aT/QxF\njUEt7X/0chu55TMqJC0ty6nnApFvKp1assdqaUieK64ayLNLhSYt2GOzsFOdc4GftyllyVHYZtuc\nKaqov5GABYayIwlZrOgINX1sQvYuupy6PQyo52S5oXNb26XoyC7Ange5eTvuSaJT9fdNq+yWWon3\nnPkhhBBCCNmwrIuZH0IIIYS0Fq7zQwghhBCyQeHMDyGEEELWcp2fYefcgab0Xu/93jWrHS18+HHO\n7QTwKQBbEHmm7fXe/6FzbhDA5wDsAnAIwE947623QhPnv/Ic3HlgeQFZqwRnScoJWWCsJM9KKZy7\nSaS1VUVF2UsAVjh99Rs+avLsV0u0h/IELSYU2pYin0C0baXC8eWGeOBP3iPSSSxF5pU9CAD0H5Li\n3Mt0/FEAACAASURBVJAIUh8HLdAGgInLhmW5gWMz+G0pkZ05z16mNWUL0DEVf9fKlGye4pblp7m1\nuBkIW3todPuSELLj0ILY3kMhKw2ZrtghNWiLB8AKbZcGbR5XVxYTSvCcGrX+CNWZnEhnSrafGSW0\nLW+2AuOMsuio1W05fQfjJ/O1EH42cDlWUqpfSwGbjKzMExIvW2F5vEhan3Oj99ixKA5JFXRI8KyD\nAMr9No8WRVe7bR5N6F6eJPiCCCa893tOZwNa+dqrCuC93vuLAFwB4BeccxcBeD+Afd778wDsa6QJ\nIYQQchrx3q3J35lAyx5+vPdHvPf3N/4/D+ARANsB/DCAWxrZbgHwI61qAyGEEEKIZk0Ez865XQB2\nA7gHwBbv/ZHGR0cRvRYL7fN259wB59yB8fHxUBZCCCGEkFOm5Q8/zrkeAF8A8Mve+7nmz7z3HpEe\nyOC93+u93+O93zMyMtLqZhJCCCFti8favPLa8K+9AMA5l0X04PMZ7/0XG5uPOee2Nj7fCuB4K9tA\nCCGEENJMK6O9HIBPAHjEe39z00e3ArgRwIcb//5DK+oP2VtoVmqTsZJyQujIo1AEkY5z0NFCADB8\n74RI6+iuwqgNvcnqCKwnlw24O2meGRUZpa01AGD/re8T6dCY6uizJNYjuO4ys0lHgejIjFTIWkPV\nnT9q18E/enmXSI/eY4vR0V2hcS9s0796Ok0eHVmWKdj1/XvG5JkRipTqOySjxip5+1snNyMnXnVk\nWcoGrGHL/gm70SAtVQrbbN0TL5NjGoosS6kLoDRkfzV61XWn/SQAZKo6qicQNaYifWp5G2VkC5bl\n6MiuqD3xv3R7npHpqRG7T21Knk/pRTumug9LA7afXeOy7PyYbY+OHpx9sc2TnpP162MFAFu/Ljce\nuUqey/W07WddXTbH99hzOzcr0/mxQHzolM5jx2LmfNkHHWkJWAualX5vrAfLi7WLdD/9tHKdn+8B\n8BYADznn/r2x7QOIHno+75x7G4DDAH6ihW0ghBBCCBG07OHHe/816EUdnufaVtVLCCGEkFOExqaE\nEEIIIRsX2lsQQgghpK1EP2318KNFtSG0UG0l+4QIid20wDlkQ1G4RAqKtbg5hC63NyAeLimxsLZm\nAKxY+I6HrTWEzpOknIm3X2nyDD6qbAE2xy8XHxLwaguHY1dLgfhgYIxLSvwdKlcLIbVYN0TXuBVh\n9h+U20Liai2U7pi1dyTdxux8QMypxMtJbCmS2GTo8zQk1F9JuSFLjLQaHm1ZAACb7y+K9LPX2GNT\nHpDjXg+ImX1ajdecFZrXO2U/9BEOiZv1tpQ95FjYKdPpvrLJU1Ni6uqmgLJ7SgUyjNn2aHuLRSPC\nB4pqdZHeQ7aq8oBM1+1wYeoiOaZbvy7bvLDN7qQtVwYes9fR5EtlnnrWXrPbPvJ1kQ7Z1vQ8Lcci\nZEmThFbZK5HW0VYPP4QQQggJQ80PIYQQQsgGhTM/hBBCCIFvI80PZ34IIYQQ0lZw5ocQQghpczza\nS/OzYR5+WqWuD0U4JVH26zw64ilEKGpGR2olWHA/EZ233yvSoT7oNifpQ8gCQy8PvyWwn44g2neX\nrUvXPxAYr5lLpK2CjhzBo7ZubYmh7SUAYHaXtKEIRVd1TcYfHW1DkS1YTwe95P7IAzaqR49zKFIw\ne68cHz02IbQ9SSjyTUej5QPlFEfio9GSjJdmadDeso6/QkZ3lftsdJBPqfrTtj3psjxXdtxVNHme\nfo08D8rbZV0dT1t7i02PyDwTl9q6s/PKcqLH1j2tzpVUwPZE25VU8/bLrLBNprvGTRbo9Wnrtlvo\nOibrGv9ee552H5Rt1hGIxRE7Fh0zMh2yRhn6lhzTgQdtFKw+u3o/d7fJowlF996R4LuF0V3rjw3z\n8EMIIYSQFeIBtNHMDzU/hBBCCGkr+PBDCCGEkLaCr70IIYQQ0lah7s6vg972uUF/uXveCD6JuCxk\nOaHFbFqIGyo7STkhtFB6pRYYSdBCYN2v+qutVURKCalDebTo+Oo3fNTk0cLb0JiuZLyuvcYKzTXl\nXisW1kLuUL80UxdIEWtIJJpSq94PP2QFqZqQBUZI+KvRQuCQ6FijBcYA8M2Pv1ukQ8dPC7A1oX5q\ngXES64oQ2qoiZL+hrT1C/dTMXGotCro2yX6UClbB2/9vnWabZnGLsrdQp6C2vwCA9KLsZ63b5ql3\nSgFvyN7CH5ft65iMH4tswHlEn8vVbptHW434gHWFU4pibUUCxAuwkxxzLcIHkgUp6ACSJPf7Mwnn\n3H3e+z1rVV/HOdv99t/7hTWp66k3fXBN+xaCMz+EEEIIaStjU2p+CCGEENJWcOaHEEIIaXvcWi5y\nOOycO9CU3uu937tWlQN8+CGEEELI2jJBzU8Czn/lObjzwPLCNC36baWQTQvnQoJeLXBOIigOraAc\nWmFaUzh3k0jvf1j2PVSuXv00tLq07sP+BKtAz19/hckz8ODksu0FrMBZC7IBO87lXlvO2K9eJdIP\nf1iKfkNC6p4xORpaNA3Y46dF0iG6xq1QMyTe1OTmtWDXCrsXtknBZ6iu3e+4WaTtGtCWvkNylV69\nsjUA5MdkXUn6NHWRvdUMflvWpVf/BeyxCdU19r1yLNIztpxSUa5D3TluFbxa+KvFuoBdBbqaV0Ll\nRfvLOVOU2yoDgZWtnayrFlj5O6W67uyCylgalOV0TNv26H6GBM8pJV7e9bd2GehjVw+LdD1n69LH\nT5+3WtwMAPmjsvLQvUCflUkCG0Lo+1eS++2GhpofQgghhJCNybqY+SGEEEJIC/HtZWzKmR9CCCGE\ntBWc+SGEEEIINT+EEEIIIRuVdTnzE7KKWK3oLl12qNwkEQK6nFA0lSZJOSFyKtIhyT6l6y4TaW1T\nAQDTN14ZW45GR3YBwMwlQyLd+7m7TR49zqEINV1OKPJn520yKmX3jIx46hhV6/YDqHaqaJxAxJqu\nS0exADZKK2S/YSO5LHo/vZQ/YK0EdB8AG30TssnQ0V2aTbd8w2x79tdkRN3wQ/Y46OiuzOKy1QAA\nNt9vrTR0VF0ooiijnA1qOfvzNVWRfQ9ZMWjbhy37J0yeZ14/IusuKOuKQBBgcYu0qkhP2fMirfpQ\n2WTHtN4tty3utHm6jshxX9gRsNJQ45Mu2TF1NblNR3YBQHGLzNNhbyEGfd2Ezm1Nknt76H5R2Szj\nG/c9fOZaWZw5UPNDCCGEELIhWZczP4QQQghZZaj5IYQQQgjZmPDhhxBCCCFtxbp87bVSEXISQlYV\nmrVcAj2JEBiB5d+bCS39vv/W94l0SCSdUQLjkDWElm5q6w8AyCo7i5CQOtgvhV72PomIXAsskwiO\nj7+iy2zbfH/8kvshaw9NcUgqYrsmrXBaC5OH77XC2yPXSuHt8ENWLKwJjZcWslbzSvD4biluBoD8\nWPzceNcxZddgdeZG7BoS3Q+q9KEftIrinmdlmxe32LpSSsC7OGrFwklEvtoKonKWPC/cdM7skxuT\nV0kmYIFR7pfj5TN2jPseVWLmgODZ7HPQbps7R9bfNW7b0zEVf4xHHpBi+bld9utEn8tJrFD0tRW6\nN+n7dOi+k3oktqpEAS5J8mwY+NqLEEIIIWRjsi5nfgghhBCyingAtLcghBBCCNmYcOaHEEIIIfDU\n/BBCCCGEbEzWxczPY/cdFIr7kNpeR2CFood0niQ2EEnyhNARVnfeZdujo6dCEUS6r6GoBo2OhEgH\nonySRFdpG4pQ1FhBRXLtDywhH4oSi0MvTQ8ARy+XUVg7b7P90u3R0Sadt9sxPv5OGdEUslnQlhPa\nUgSwkSwz59nLKz8m84QsJ7RVRSjqKDsvf6LN7rJRUJVeHdVjQ650NJxuj46wA6zlRCiCbmFbvG1B\nEnTk3bavWTsObaVRt+4R6JyS6YqOagOQVVYVPWO2rvKArMs9IcdiachGM5WH5BhXe+0xr+fkfq5s\n2zd3nmxPumDHWFt7LOw0WZCblWWX+22eSo/ME7IDWRqUY6HtQQB7Tehjte0jX7c7KUL3nZK+HjcH\nrscE0aBJ2NDRXRrO/BBCCCGEbEzWxcwPIYQQQloMo70IIYQQQjYmnPkhhBBCCFwbaX7WxcPP+a88\nB3ceWF50lsTeYrWWKdflhAR5WmwXEk7vS2BdobeFLBQGHpwUaS36DdkGrEQ4HVqYvvP2e2PL0WJh\nbWsQIdscEtFqy4SVELIv6RpXoswLrHi4Y1bWPb7bWmD0PC3zhCwCQgJiTWFUCpO7Ju3IayuBvkNW\nnDt8rzzuz7x+xOTJLMrJ3637xmP3yc3Ifun2AkA9J6fPtS1EqJygnYQ6FCELBW1V4XN23DMHZT9z\nc3Z6X4t6J14WsGvoVTYUau48NxMQM6eVwHjIWppo8XKofdUuWXdl1F4j2aelvUZu1mQxY+psc5BV\nWuHtd4ybPBOXyeO1NBj/ymTnbbKcQNXmvhy6d+5PkCdUdlxdpH1YFw8/hBBCCGkhHoz2IoQQQgjZ\nqHDmhxBCCGl7HKO9CCGEEEI2Knz4IYQQQkhbsS5fe7XSlmIl++0LWFfoKK1QVIHOE4rA0vslsaWw\n0VSbTJ7KJTZqTKOjyEL2G9M3XinSF37wYyaPjeGxaFuF3LzNM3zvhEiHooN0xE6mJBV8M5cMmX2W\n+uVUr47sAoDiiGxfhw2gM3Vpm4oQoUgpbQkQinzLzqdj8+jx6T1so8YK22S/dKSgjs4BbASYjuwC\nbPRZqH06qm7L/gmTRx8vfawAoE9Fcs2+xMb5VJWdhbPBcaipQ6GjqwAgrWwnSptlQa5uIxk7ZlTk\nW8DeotYr2+wL9tZc65TtyR61Ph6h6C5NtVuW030s/viF7GY0oYgwfU9LEoGlSRKRFYriDEX8roTV\nihJeF1DwTAghhBCyMVmXMz+EEEIIWWU480MIIYQQsjFZdubHOTe43Ofe+6nVbQ4hhBBCTgttNPMT\n99rrPkTDEVJuegDnrHqLEhASnCURKrdKqLZScbUW5IXEzLrskLBPc+CT74ktVwtJez93t8lTuO4y\nkS5edqXJo0W+/Qfjr57+QyWzTVtgzO6yFhOblOC6IyBe1iJtLfrtGbOSy6X+tErHC0AXtllh68z5\nciI1ZMehRb6Dj9qx0CLo4pAdCy3ODY2XJmStMX2hteloJiQQT4K2odACbcD2PVSXFn/Pn21vWdo6\no/OYrWvg8fjjVxqKF6j3PiWPaWZRtqc0aI+5bl+qFLDWWAxZvkhycyooICBurisNdOgcrGdl/cMP\nFU2eJOdT16S8lkJWKINKQL//1veJdOjeee018r4YCrTQ9/LVEjcnIdTmDS2C3qAs+/DjvX/RWjWE\nEEIIIacJDy5yqHERb3bO/UYjfZZz7rK4/QghhBBCzjSSCp7/GMCVAN7USM8D+KOWtIgQQggha47z\na/MHYNg5d6Dp7+1r3dekoe6Xe+9f4Zx7AAC899POuVwL20UIIYSQjcmE937P6WxA0oefinMujYYW\n3Dk3AsAuF0sIIYSQ9QmjvQwfB/B3ADY7534PwI8B+PWWtUrx+MPPiYilVi1bnpQkyn5ddijiKmRn\noUkS3aWXntfREggsTa8jf+qv3m3Lzce/FdVRYqXrrBQsSeSPjhxZGrTCO91GHdkFABOXLR/dZa0/\n4i0xQoSixgYflRYOSSJmQvYW+tiE8mRUkFgoQk3bdOiIOgDYfCDg8xBTrra8OHKtjfIx9giBc0lH\nvunjAADZgkwH3COQWZTpxVH7u+z4HnkO1tOBqKy83K/nGdvm4hZbv9jn2cB5a4bd5tGRW/kx24fZ\nc2R7MgXbh/KALFtfV9E2mU5iz6NtTwAg/6T0eKnkbbReyNYkjlB7NCuJ7l1pRPBKyiFnPokefrz3\nn3HO3QfgWkRX7o947x9pacsIIYQQQlrAqSxyeBzAZ5s/4yKHhBBCCFlvnMoih2cBmG78fwDA0wC4\nDhAhhBCyAXBtpPlZVtThvX+R9/4cAF8G8Hrv/bD3fgjAdQD+eS0aSAghhBCymiQVPF/hvf/5Ewnv\n/T865z7SojYZzrt4O+448LyId7UEZyFxmxYLJxHfJSEk0taiwpAAOokoGpulEFgvBx8STWsrgZB4\nOK/SIeGtLluLIAEgN28F13E8dNP7zDY9XlrcDFjbhyRou43s8QWTR4t6taAXsALnkI2HHsOQoPju\nz8p+Xvquj5k8W/fFi47zR2X9oeNX2CZ//2gbCC2aBqxlSGgsQsJyzfDeb4h0SCyvy+mctO3RthR9\nB+1vOm0xUbTDhVRZlhOyqhj6ltymRcjZ+fifzqlKvCh68qU2z1lfljYUoeOpBc+h61GLl02ABIB9\n6n514QftObj/VpkndF/W9wdzf01gVZREhJwEWlAkoI1WeE768DPmnPt1AH/VSP8UgLHWNIkQQggh\npHUkXeH5BgAjiMLd/w7A5sY2QgghhJB1RdJQ9ykAv+Sc642S3r4XIIQQQsj6xKOtFjlMamz6soa1\nxbcAPOycu88599LWNo0QQgghZPVJqvn5UwDv8d7fBQDOue8DsBfAVS1q1ymzWmI2LRYOkURwnWRl\nZi1mDu2jRb2bbvmGyRMncA6KppXgWa8SHSJbsKvOavFkSGC5EkJjHBLEavTKy3qF2c7b740td+oC\nK6QefqhotmmmLpKXU9ekXVFZr4hdvfFKk2f3O26WG3JWhKjHPSS01SsoDz5qBdgDD8pJXH2+hUTb\n+aMyHVo5WhNaNfv4O+XtIzTG+nwKCbv7D8rzsjhif9PlZmT9vYdte7R4udodWAW6Ux4Lr+6goX5O\nXCr3SZdNFvQ+JffLFGye46/oEulUYPHkbR/5utyQ4D4UOn5X3HCTSA8Hrn1N6P6l7ys6mCAktk6q\nxThVQvcUCqcVnPkx5E88+ACA9/5fYYOBCCGEEELOeJLO/Bx0zv0GgE830m8GcLA1TSKEEELIWsNF\nDi0/iyja64uNv5HGNkIIIYSQdUXSaK9pAO9qcVsIIYQQcrpoo5mfOGPTW5f73Hv/htVtDiGEEEJI\na4mb+bkSwDOI3NzvQWRqetoJqe2TLImuIwtCNgZx+wD2XWEoykHbWaw0quHAJ98j0q+9xUYszF9/\nhUjriKIkY5Ekyi336t1mm15iP2TjoSNHQugIna7RK0webcFRyQ+ZPJW8LGdhm4x46um1EWM6Igyw\n1gzauiIU1dN1TG5b2BaweFCRZUksMLKFmskzt0teuqmybU9dRYmFonp0ZJu2nJgORKMlsRBJL8l0\nKAIrSQSdjlSsvt5Ge2mLDm0VAQAZdeta6rd5UmqY+5+weZYGZTlZdQsJ9dOn5LHJzdpyuyZl5TPn\n2Vuz7tdDN73b5LlaWY3o6wGw94cg6jwNlZPIZmizvWc0E7IPSlJukjytisoK2oGskg3SaYczP99l\nFMBrEa3m/CYA/xfAZ733D7e6YYQQQgghrSDO1b3mvb/De38jgCsAPAHgX51z71yT1hFCCCGk5Ti/\ndn9nArGCZ+dcB4D/hGj2ZxeAjyPy9yKEEEIIWXfECZ4/BeClAL4E4Le9999ak1YRQgghZG3xZ4Ss\nd01w3p98Dso5VwdwYqH15owOkcFpXwvb9l363KC/3F27bB4tOg4Jb193sRSlBW0fFCsVV8ftAwD1\ngIBYo0XZSQTF2obCCnotITGsFjnqpf2BsN2GJokthW6jFv2GCNltFIekyFgLk/NHlRIXVsysxadJ\nSSJC7piNb49mpWOxkuMeErZqtPA8dB3pczsUXKCtNELjnsTeomtc9n2p356ni9vktlRg2Cu98thk\n5205ww9JQbGxNDlmj/nkbrmt57Ad44HHZbn6PAaSnctJAhdWcq8Moa0rQnXr80Cfb/tvfV9sPcFg\nkQT9XMl9eaX38pXUHYdz7j7v/Z4XXFBCOnfs9Dve9Z74jKvAk//tPWvatxDLzvx471tls0IIIYSQ\nM4kzRI+zFvDhhhBCCCFtBR9+CCH/v727D9a0ru87/vnusuvi4bALnGVBRXEZMGMIopwBZMTi0FiS\nWh86qUo7U+o4WW1rmig11XRamWlM01gkkzGJs4kPZEYRp60RqcXiluo2uuJZNTxIQMR1Ik/L8uSy\nYdmnX/84N3qu7++75/6dH9f9eL1fMzvsdXPd1/N9c/G7P9/rCwCdUtrYFAAATLFxKUMfBkZ+AABA\np0zNyE9UseD5qpSSSq7aR637ioqSdUUOumqJqApjtk/VWklVWVQZtHZvczqqsPD7ue+ME7J5Sip2\njt/VnI4qdnzrhaitiNRc/7obbw3maVqv/sdnzy8d25g+ddsj2TwzP2xO+2oYKT+GD/z2Rdk8p32p\nuewNQaVUdJw9X2H18MVz2Tzf/XizuqOkInKPa3mRL1Xa61t0BNWEc7fuaUxH14U/phF/rTx1Wj6P\nv5YjxzztKsKCor+HLmhWYa2/t/m/ylHbk81faFZl+epCKa8aO/T8fN0nLzQ3KGzPE34mmvw5Lans\neuKcvJVMVvUXvM+3fSj5zqtpvRN9F/h1RVWn2yuqu0raGU0sRn4AAACm09SM/AAAgEpj1HpiGBj5\nAQAAncLIDwAA6FTmZyJufs46b7NuXlg+mFYS2vOh4yh8VzNPLR+ci8KlPtQYhWjX6Mxl54naI+y4\n7srGdHT8fIjv4jd+JJvHB6WjgPE+FzScu/3pbB4fAj3x7v3ZPD6wWNK+wR/j6Pg9dEEzzPyCP/hG\nNs/xs811RwFQH7xdHbRQeOZVzYBztC5/vHxgXMr3/bGX5SHadTc2r6dN+eZk4dIDLkj91MXNcLMk\nHfdAM9oaXpOu3UbUNsNfXyWf4TV782/nw+7yPumOfJ6nNzbPjW+JsTjPqr7zPHp2cznPnNicPuGa\nvN3L7vc0z3nU9mT2x811Ra0rohY0XknLnr1vu7C57ut39H3PmiBg7z8DG4L39Qs4R/++5ueI2sCx\nv+ai5fjv++h7sKZNBkZrIm5+AADAgHVo5IfMDwAA6JSB3fyY2SfNbLeZ3bHktavM7H4z+17vz68O\nav0AAKCcpeH8GQeDHPn5tKTLgtevSSmd2/vz5QGuHwAAIDOwm5+U0tclPTao5QMAANSwlAY3BmVm\np0u6MaV0dm/6KknvkPSkpAVJV6aU8lKWxXm3SNoiSev0/PNes+QXspIkfclj1KPHlPtqiag1RMnj\n1r3a9hY1yy55HLuv1IiqSzz/qHopr3x4+qTV2Tz+kf9RdYmvQIm2J6pa8/z7dr+qWcn1vMfy6/3Y\nR5vVS1HFWknFjq9Qi6pzfOVWVCnl3xdVSh1al7f/8NbvyivmPH9OSyqufJuMqDLPi46Fr1iLzq8/\nn9FyfGuIiG8ZErUH8dtz/2uPzeY5cHzzvJ94R/Pf++ovSdrwg0ON6T2/lG/v+vua1V6+dUQkquzy\nn/WSKqjoe8hXVpa0iSkxqIrbQc7jlfx3o41qLzPbmVKaf84LKrTuhaell7z7ff1nbME9//F9Q923\nyLADz38qabOkcyU9KOnqo82YUtqaUppPKc2vUf//6AEAgOcgDenPGBjqzU9K6eGU0uGU0hFJfyYp\n7zQHAAAwQEO9+TGzU5dMvkXSHUebFwAAYBAG9pBDM7tO0iWS5szsJ5I+JOkSMztXiwNfuyS9a1Dr\nBwAAhcaoDH0YBnbzk1K6PHj5EzXLKmlvUSMKm666y00H4eYo8Ob5AFxJkC4KV/v2FlFQ04eOZwq2\nzwdJozCz3+ZwH1ww0oebo3Xt2ZK3TDiythkUXbMvD7b6lglR24cHL93YmPZh0+g9meD4+VYHUSB1\nz/nNILBvuyDlLSeePD8/FnO37mlMl4Sio1Yf/tqNQpi+vYWCdXmbtvffPr/utQXX9qHT8xYdJcvx\nX2O+VYRUFvD3geuoPclLb1w+1H7M/v6D6T7cHG1PSZg5UvO948PNUh5wjtZd01KirSKPkuXUtJyo\nDSq3tV8YHtpbAACAsQkjDwPtLQAAQKcw8gMAABj5AQAAmFaM/AAA0HEmqr3Gzj0772uk6aNEfslj\n+UseZe4rrnxFilRX5RBtn19OtD0H3fZEj5n32xxVhHm+6inaPl8FElUU+ddmfpgfL789UTsEXzXz\n1AvyNhm+Iuynp2/M5jl1W7ONQVSJ5Pl5ogq/WVdFsy+okPFtMsLKMlc14yu7pLwyKRK1CPF8y5CI\n31d/zrff8P7sPdl1enJegfX4Fc0qtmg//fUfXYOH3XTU3sJXdz29MR/QPn5Xs+ovbFHjjtcxf5fP\n0k9UBegrsEqqMf3nXpJudhWZtRWkUWWn589FdE3WVDj5qrGoqq2kSstvX7ScNlpMREraZGD8TcTN\nDwAAGLAOjfyQ+QEAAJ3CyA8AAF3XsSc8M/IDAAA6ZSJHfmoDZyVBOj/PTQXLzVoEKA5K91MU5A7C\nkvnD8puioHIJH9iNwsO+JcCGYL/9+v17pLx1hW+hIOXtI9bvyoPTPpi57wXN+/sNP8gDsz5EHoVE\nn3StF6J1P3TBsW65eQjTB4Gj5ZS08fCB62geH4q+9KH8Ot3Wpwhg/h0fzd5zbEEQ3ouuHd+WZV0Q\nWi05XgdnmtfTX//Re7N5/Gc0Osc+KH0kv1T02Mua14G/TkuCt9H3hQ8h+2Mj1QWBfUg6mqdkm8OC\nEvddFBWCZN+nFcUiEb/N0fkclKjVR00rjbHEyA8AAMB0msiRHwAA0DJGfgAAAKYTNz8AAKBTJvJn\nryhM5kOE0RNco6Bav2WXPMV0TcFyo1ChDxFGodBVAwr2lTz52Icww9BjEF72fPj7kAsPL2reh0fH\na85NR0+dnXnomcb0htua6y55+rUPN0v5E4qj4+efNOzDulL+FOjoicX+qcrRNTij5jUXXztuOnqq\ncR/Rk5lLjqEPJofrDp6S7R12l1d0bo7Z3xyrf+W785D2oVc1w+irgoy2DzjPPJCXEvjry1+n0XfT\nK/7NNY3p44Nz7s9x9AmpET41O/hs1Sh5Qr1XEwwuKXCpedp0rWE+TXrYJrXU3cw2S/r3ktanWTPK\npgAAIABJREFUlH6t5D2M/AAAgLFiZp80s91mdod7/TIzu9vM7jWzD0hSSum+lNI7V7J8bn4AAMBi\n4HkYf8p8WtJlS18ws9WS/ljSr0h6uaTLzezlK99Rbn4AAMBwzZnZwpI/W/wMKaWvS3rMvXy+pHt7\nIz0HJH1O0ptqNmAiMz8AAKBFKxuVea72pJTmK973Qkl/u2T6J5IuMLOTJH1Y0ivN7IMppf/cb0Hc\n/AAAgImVUnpU0rtX8p6JuPk567zNunlh+TS9ryYpahURaOsx5f7x9GtPzqu0Vle0wIj4iiHfriGq\ncvOVGtGx8cdif1Cds+G2RxvTYdWROze+akvKW1eUbHPUeqHfcsPqJbdfUQsFX+F0cCb/xdgfi6ga\nzfPnSsqvnae25FVjJ97d3MaoasxXU0UtMPy6nnYVaidc+83sPf5aDtftHHzbhdlrvv1GVMk4t/Wb\nfefxfIWfJN1/2cbmcoJNPmZf8397/fmU+ld3RVVHc26bSypRa9tA1FRg1bZryFppDKjiqWS5g6y2\nqqkkq23BNGoTUO11v6TTlky/qPfaipH5AQAAk+Dbks40s5ea2VpJb5d0Q82CuPkBAABjVe1lZtdJ\n+qakl5nZT8zsnSmlQ5LeI+krku6S9PmU0p01uzoRP3sBAIDuSCldfpTXvyzpy891+dz8AACAScj8\ntGZqb34GGTgrCcD5x9OXBHiLWmkEIek1u5vTewpCqz6sGAUs/Txr9+Y9AXwQOJrHB6Wj4K1v+/Dg\npRuzefz2rC8JV+9uHveoNcPTJ63OXvPy/coTsw9f7MLVW/PjvtcFf7cH16QPIW/a3r/FRBSc9tdc\n9Fj+rE3GTDOkHYXc/fnbd0oe7F6zr9ka4tA6y+bxxyIKGD/4nosa08fvOpTN489NFLr/u03Nb/W1\nT+bbs+EHzWsw+kxcePnV2WtLRZ/zmwvaxNQEnP11IuWtUSIlIe2S78q22mTUKPmuHFTAuDYgjvEy\ntTc/AABgBRj5AQAAGIg5M1tYMr01pbR1mBvAzQ8AAF03GU94bg2l7gAAoFO4+QEAAJ0ytT97laTt\nS6ocosqMKO3v+YqTqJVFyePh/TxRtZKv9PFVUFFLgCNu+tLX5dUmq1w1x4Ez+lf++HYSUl7JVdL2\nYe72p7PXSipifAWMPzYHz8nbLByzvznWG1VORVVPnq/KOhzM46ugouqhWb/+4HrLKtSC7fP7EV1f\n/jOwpqB6z1+DUSXXM+ub23fcA/nR8Nv3RNAC49Rtjyy7bimvgPRVd5J05rV5xVw/UfuUY935858b\n/5mJ5tlWUFlZcq1HVZM1Sq6LkvfVVI21VZVbsg8l368lFWzRPCX/TRh31vvTFYz8AACATpnakR8A\nALACHSp1Z+QHAAB0CiM/AACA9hbj5p6d9zXCa4N8dHhJAM4HiPed8rxsnh3XXdl3XT4IWRL+i4LJ\nfnu2FTxO3weyo7YZB91yo4ClD6DO3dq/FUMUkF2/a3/zPcExrQmF+iDi7PU7snn88YsC4n7fo+vC\nt2I4Ngh2+/X7Nijh9gTz+OPlz7lUFlqN9nWlfKBdyoPSB2bzdiAlgVkf9q4N+frzFX2H+M9WdC33\nW27En5voM3zAfUZKzl2JkiBwdA1sKzk3Betq4z2DbFVUcv4ed+2CouvdX5eD3Ga0YyJufgAAwIAx\n8gMAADAQtLcAAABjgPYWAAAA04mRHwAAui5R7TWRSpL0UdVTP9Fjy32ripngfb7NQtQmYNXXvtt3\n/dk2uyotKa/UytYdvCdbd7Cffp59QQuFgzMrHzyMqiW8mYee6TtP1BrC1xT5SrMZBY+hLzgPft9/\neulF2TzH7zrUmI7OeUmbjO03vL8xHVYHueqpsD2Jm47m8dfOqq81q1+iSiC/X1GloHdgNm9LUfJ5\nzM5fUO3l26V89+Pvy9e1vbmuqBpnjfsMlFQC+eMTfaazFiJhK4T8M+r57yJfsVmqpIVPTbVZWxVO\nJdVoba275Pz576u22opgtKbm5gcAADwHHRr5IfMDAAA6hZEfAADQqcwPIz8AAKBTJmLk56zzNuvm\nhZUF53zoV4qDyTV8CHPdjbdm8/i2BVFw2rePiIKjPnS56q58e7L48BnNUG0YSK0Id0Z8MDkKYfqA\nbBQqrGmzsGZf3vih37qeeNuF2Xt2uDYZUQDUL3fu9jzM7I9zdExLrgsfTI5aQ/Rbt5RfF2HA3q3f\nb0/UWsOL2oz4Y+hD3FIeUq19/L9fV3T+/DbOv+Oj2Ty+nUV0brLPozumYauIoPWIN6hjEV2DftnR\n+asJPLfVvqGmeCV6T0mgfltBixx/LKLvkA23Pdp3ezBeJuLmBwAADBg/ewEAAEwnRn4AAMAwA8/0\n9gIAAJ0y8t5eU3Pz40NpPlgqBcHggA8zR/wTPqMA3KF11phev2t/3+WWhBNLgpp++6JAow/Vbrsz\nD+j50Hj0ZNM95881pk+49pv5PFte3Zg+bjZ/yrFfdhSc9ucmerr0zA9d8NeFVqMnR/trJ3oKc8lT\njf35iwKz/lyUhDKjJ0X7EHR0vHw4Ptovfwxnr9/RmF4TPBHb72dJwDgK0PrjU/IE6pLPSLQ9/rW5\nbI5c9Lnpt9zoaeF+36ProiQgW/LkYx/grQkuR0YZ4C3Zh0E9XVrKz9eO664set/ESSLzAwAAMK2m\nZuQHAAA8B4z8AAAATCdGfgAA6DgT7S0AAACm1tSM/PhEfskj26NqCf8Y/qgCxVfWRG0WZq9vtrwo\neVR+SauDuaDKyFdB+cqpqBLB3/VG82QVc8H2HbO/+b8Kj1/x6myeTdub1WjRubnw8qsb075aTsqr\n2koq87LqoJNX3kZDKqs68ufviXNOyuYpqQo54NqTlLRPiY77CV9z7wmWs9Z9BvxnImpv4avISj5r\nJe0HojYQtZU+/YTtZtznuqSCqKQirETJ8SqpahtUdVdtNVUbbTuic+XVtufx27c3qNz1FZBTUdl1\nNIz8AAAATKepGfkBAAD1LHVn6IeRHwAA0CmM/AAA0HUde8Lz1Nz8lLQN8I/3j9oG+JYOa4N1rXKP\nsPehUSkP6UXtB3z4dr9rWSDFLSU8vx8+CLzOBVSj7fNtKiRp4VPva0xH4e8Ntz3amH7w0o3ZPH57\nouXMBm0BvIPuOEfnz4eMN7h/HwV4/bGIjnlJOL2k1YcXBSz9MY3asvj1l7RPidpb+IC//9xEofKZ\nggCqV9vewg9NR4HZmgBqVeuK4LW2As8l/PHJvy1ytW0p2ggqlyw3MqhQecm6SoLdJS1pMP742QsA\nAHTK1Iz8AACAekN8yOGcmS0smd6aUto6tLWLmx8AADBce1JK86PcAG5+AABApwLPZH4AAECnWJqA\nhxrNz8+nhYWF/jMuEaX2S6q9fCVXxFeplLQ6iCoWfPVGzbojWfuNoCWGV7IPUUWYr2iKtq9f+41S\nWRVb0K6hqMrOKTnuUSsUr+Q4l5ybmm0uqeRqqw1ESSsBf7xqW1fUfNYiJRVD8+/4aGM6qtbz1Xkz\nDz3TmI6upbZaRXglFXSDrJQaVEXYMLV1DZZY6fExs53D/GloZu609ItveO9Q1vXta68c6r5FGPkB\nAACdQuYHAACQ+QEAAJhWjPwAANB1aajP+Rm5qb35KQmXRY8p9y0UogBjFlpVHrgsCa36sGvUxsAr\nCtu5thlR6NG38YhaYHjHPlqyhTkfTC5ZSknbhycK5smOccHxe/yKV2evzd26pzEdtX3Yd4prreG2\nJdqeyAHX5iQK5vtAsQ83S3mYMwoGP3xxM8T+3Y83W5qUBEKjsLU/59Fnra2gcsl+lrSl8O1c9Km+\nqy4K/dYEzaP3ZCHygu+4tsLVkUEFuUvUtMmonadk3ZMY9u66qb35AQAAK9ChkR8yPwAAoFMY+QEA\noONM3cr8MPIDAAA6hZEfAAAgTUDHh7ZMRHuL4+3EdIFduuw8JWn7tiozSloo+Mf5X3j51dk8a/Yd\naUyXVOyU8PsVVdr4qqeofYOvdIvm8ZVJUcsJr6SSKzqmvlKqpg3Eni15JZevcPJtDqS81UG0nLmt\n/Vt9VFUBttTSwbdTKV2XV1NJGVVX1XweayvE2qoOwngadaXZINqKDLu9xXEnnZbOvuy3hrKub332\n39LeAgAAYJj42QsAAAwz8DxnZku7lW9NKW0d2trFzQ8AABiuPaP+2YubHwAAui6pUw85nIibn7PO\n26ybF5YPr9UElWvCxFIeCl0VtIbwgc+ZglB0bQsA32qhJGxawh+fqDXDmt3uhWB7/fbtuO7KbB7f\nbuPgTBBHO+V5jcmofYTnW2ls2r4nm8cfr/XBufJh7+c9mX9L+HlWB8fLB7Cj8/vEOc02GfLTkmav\n35G95vn92lYROo4+I9F16vlrzp9fSdpeEMwfZiuGNgwyeDuoz/Uog97TEkQvajuEsTIRNz8AAGCw\n7Ej/eaYF1V4AAKBTGPkBAACdyvww8gMAADqFkR8AANCpxqYDu/kxs09KeoOk3Smls3uvnSjpekmn\nS9ol6a0ppcdXuuzaigpfcbIuqNLyFTtRhVMJ38bAV/lIebuBNdkcZcvx+3GTOxZRpc3MD5uHPapW\n2P+G85d9TyRajt++qKrnsX+0sTF9yree7ruukvX7VhpRpVl2PZ2ct/HIrgNXeSZJ+9xrs8G58tVd\nvhJOkg6ts8b03K15hdrBguvUL7vkc1NSfeOvSb/f0XJmgqq2mtYVkZIqqJIKNT9PdC0Ps2VCzbpL\nKrmGWT3Vb3sGVc03bKNeP1ZukD97fVrSZe61D0jallI6U9K23jQAABilpMXGpsP4MwYGdvOTUvq6\npMfcy2+SdG3v79dKevOg1g8AABAZduZnU0rpwd7fH5K06WgzmtkWSVsk6cUvfvEQNg0AgO7qUuZn\nZNVeKaVlH6adUtqaUppPKc1v3LjxaLMBAACsyLBHfh42s1NTSg+a2amSfHOEIlG4LAsPBwHQ7S4I\nGYUM/fui0KMPZoaPNneh2Wib/fp9iFUqa4Hhg63+WBwMAqk+FBotd92NtzbX4wLQkrR278HGdNTq\nw4fIFQSBTykIdpeEc/25mXnomcZ0SfC1JDwc8S0nsv1W3vLi6ZNW911upCRcvf3O/serX9DWB8Yl\nac2+5mNg/TGW8vOQteyQNOs+N1FQuSTAW9JaoGaeks9sTYB3kC0womtulPrt1yCPxaCM+/Y9J4z8\nDMwNkq7o/f0KSV8c8voBAEDHDezmx8yuk/RNSS8zs5+Y2Tsl/b6kXzazH0j6+71pAACAoRnYz14p\npcuP8q8uHdQ6AQDAypkIPAMAAEwtS2PywKHlHG8npgvs5wNGtYGzkie41jxltiRMWbLNURjXLzsK\nNEbh4H7rLgmS+nmi8OuG2x5ddt1SHhbefsP7+66rZj+l/k9Qjp5S7efxIe5o3SXB0ujJx8+sbz69\nedP24OnNLvxdouRJ5LWB4n58wF6qO17RPpR8tkqeyt7WZ9Rr4/hNqraeSj1KbZ2/QVwHZrYzpTT/\nnBdUaHbDi9K5l/zmUNb1/77420Pdtwi9vQAAwDDNmdnCkumtKaWtw9wAbn4AAMAwMz97Rj3yQ+YH\nAAB0CiM/AACAhxwCAABMq4kY+TnrvM26eeHn6fmSR6KXtDGIRBUx/ZRUPZS0YohaKKxz7SKiCiK5\nKixfgVVyLMKKHTft2zdI0mE3vT9ogeGru0qORdQCo+97lFdK+XWXtPGI9mFd363Jq4yilhOzbrqk\nZUhJ9dJNBdV6kX7VjSWftbDSrOJ8RsfCX//R9vqWIW2JrpWa74dx01Zl0rhXcpVoax+m4VhIPOcH\nAABgak3EyA8AABigJOlId4Z+GPkBAACdwsgPAADoVLXXRN781LZr6PceKQ85RgFHHw7eFqyrZDk1\nom32bSdKWmLo5P7tBny4tKQdSNS64sLLr25M+9CvFLR0CLbPB2uj7VnlArIloV9/fA7O5AOiM24/\no5CtP8dRiNzvQ9Ruw++XD5W3yR/3mrYnkZIChJLj5ZdT0kqjdntK+Pf55ZYExCPDbBXR1jYDk2wi\nb34AAEC7qPYCAACYUtz8AACATuFnLwAAIKXu/O7FyA8AAOiUiRj5uWfnfY2KhLY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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize = (10,10))\n", "c, xedge, yedge, im = ax.hist2d(list_of_ferry_sals, list_of_model_sals, bins = 100, norm=LogNorm())\n", "im\n", "fig.colorbar(im, ax=ax)\n", "ax.set_xlabel('Ferry Data')\n", "ax.set_ylabel('Model')\n", "ax.set_title('Test A salinity, rn_crban = 150, rn_charn = 20000, nn_z0_met = 1')" ] }, { "cell_type": "code", "execution_count": 98, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "bias = 1.94161838071\n", "RMSE = 5.56267806197\n", "Willmott = 0.743195687801\n" ] } ], "source": [ "print('bias = ' + str(-np.mean(list_of_ferry_sals) + np.mean(list_of_model_sals)))\n", "print('RMSE = ' + str(np.sqrt(np.sum((list_of_model_sals - list_of_ferry_sals)**2) / len(list_of_model_sals))))\n", "xbar = np.mean(list_of_ferry_sals)\n", "print('Willmott = ' + str(1-(np.sum((list_of_model_sals - list_of_ferry_sals)**2) / \n", " np.sum((np.abs(list_of_model_sals - xbar) + np.abs(list_of_ferry_sals - xbar))**2))))" ] }, { "cell_type": "code", "execution_count": 92, "metadata": { "collapsed": true }, "outputs": [], "source": [ "list_of_modelb_sals = np.array([])\n", "list_of_modelb_temps = np.array([])\n", "list_of_ferryb_sals = np.array([])\n", "list_of_ferryb_temps = np.array([])\n", "unit = ferry.variables['s.time'].units\n", "for n in range(14500,135000):\n", " if ((ferry.variables['s.latitude'][n].mask == False) \n", " and (ferry.variables['s.salinity'][n].mask == False)):\n", " Yind, Xind = geo_tools.find_closest_model_point(ferry.variables['s.longitude'][n], \n", " ferry.variables['s.latitude'][n], \n", " X, Y, land_mask = bathy.mask)\n", " date = nc.num2date(ferry.variables['s.time'][n], unit)\n", " if date.minute <= 30:\n", " before = datetime.datetime(year = date.year, month = date.month, day = date.day, \n", " hour = (date.hour), minute = 30) - datetime.timedelta(hours=1)\n", " index = np.argmin(np.abs(converted_timesb - date))\n", " delta = (date - before).seconds / 3600\n", " s_val = ((delta * (threemonthsb_sal[index-1, Yind, Xind])) + \n", " (1- delta)*(threemonthsb_sal[index, Yind, Xind]))\n", " t_val = ((delta * (threemonthsb_temp[index-1, Yind, Xind])) + \n", " (1- delta)*(threemonthsb_temp[index, Yind, Xind]))\n", " if date.minute > 30:\n", " before = datetime.datetime(year = date.year, month = date.month, day = date.day, \n", " hour = (date.hour), minute = 30)\n", " index = np.argmin(np.abs(converted_timesb - date))\n", " delta = (date - before).seconds / 3600\n", " s_val = ((delta * (threemonthsb_sal[index, Yind, Xind])) + \n", " (1- delta)*(threemonthsb_sal[index+1, Yind, Xind]))\n", " t_val = ((delta * (threemonthsb_temp[index, Yind, Xind])) + \n", " (1- delta)*(threemonthsb_temp[index+1, Yind, Xind]))\n", " list_of_ferryb_sals = np.append(list_of_ferryb_sals, \n", " ferry.variables['s.salinity'][n])\n", " list_of_ferryb_temps = np.append(list_of_ferryb_temps, \n", " ferry.variables['s.temperature'][n])\n", " list_of_modelb_sals = np.append(list_of_modelb_sals, s_val)\n", " list_of_modelb_temps = np.append(list_of_modelb_temps, t_val)" ] }, { "cell_type": "code", "execution_count": 109, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 109, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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abiovXIRG152l7bQyWVktl5h2XHloN5XnUdF5qsr9lTeOLKcvPdYZpENrVJzw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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize = (10,10))\n", "c, xedge, yedge, im = ax.hist2d(list_of_ferryb_sals, list_of_modelb_sals, bins = 100, norm=LogNorm())\n", "im\n", "fig.colorbar(im, ax=ax)\n", "ax.set_xlabel('Ferry Data')\n", "ax.set_ylabel('Model')\n", "ax.set_title('Test B salinity, rn_crban = 100, rn_charn = 70000, nn_z0_met = 1')" ] }, { "cell_type": "code", "execution_count": 100, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "bias = 1.79176312479\n", "RMSE = 5.34840517666\n", "Willmott = 0.767047886945\n" ] } ], "source": [ "print('bias = ' + str(-np.mean(list_of_ferryb_sals) + np.mean(list_of_modelb_sals)))\n", "print('RMSE = ' + str(np.sqrt(np.sum((list_of_modelb_sals - list_of_ferryb_sals)**2) / len(list_of_modelb_sals))))\n", "xbar = np.mean(list_of_ferryb_sals)\n", "print('Willmott = ' + str(1-(np.sum((list_of_modelb_sals - list_of_ferryb_sals)**2) / \n", " np.sum((np.abs(list_of_modelb_sals - xbar) + np.abs(list_of_ferryb_sals - xbar))**2))))" ] }, { "cell_type": "code", "execution_count": 93, "metadata": { "collapsed": true }, "outputs": [], "source": [ "list_of_modelbase_sals = np.array([])\n", "list_of_modelbase_temps = np.array([])\n", "list_of_ferrybase_sals = np.array([])\n", "list_of_ferrybase_temps = np.array([])\n", "unit = ferry.variables['s.time'].units\n", "for n in range(14500,135000):\n", " if ((ferry.variables['s.latitude'][n].mask == False) \n", " and (ferry.variables['s.salinity'][n].mask == False)):\n", " Yind, Xind = geo_tools.find_closest_model_point(ferry.variables['s.longitude'][n], \n", " ferry.variables['s.latitude'][n], \n", " X, Y, land_mask = bathy.mask)\n", " date = nc.num2date(ferry.variables['s.time'][n], unit)\n", " if date.minute <= 30:\n", " before = datetime.datetime(year = date.year, month = date.month, day = date.day, \n", " hour = (date.hour), minute = 30) - datetime.timedelta(hours=1)\n", " index = np.argmin(np.abs(converted_timesbase - date))\n", " delta = (date - before).seconds / 3600\n", " s_val = ((delta * (threemonthsbase_sal[index-1, Yind, Xind])) + \n", " (1- delta)*(threemonthsbase_sal[index, Yind, Xind]))\n", " t_val = ((delta * (threemonthsbase_temp[index-1, Yind, Xind])) + \n", " (1- delta)*(threemonthsbase_temp[index, Yind, Xind]))\n", " if date.minute > 30:\n", " before = datetime.datetime(year = date.year, month = date.month, day = date.day, \n", " hour = (date.hour), minute = 30)\n", " index = np.argmin(np.abs(converted_timesbase - date))\n", " delta = (date - before).seconds / 3600\n", " s_val = ((delta * (threemonthsbase_sal[index, Yind, Xind])) + \n", " (1- delta)*(threemonthsbase_sal[index+1, Yind, Xind]))\n", " t_val = ((delta * (threemonthsbase_temp[index, Yind, Xind])) + \n", " (1- delta)*(threemonthsbase_temp[index+1, Yind, Xind]))\n", " list_of_ferrybase_sals = np.append(list_of_ferrybase_sals, \n", " ferry.variables['s.salinity'][n])\n", " list_of_ferrybase_temps = np.append(list_of_ferrybase_temps, \n", " ferry.variables['s.temperature'][n])\n", " list_of_modelbase_sals = np.append(list_of_modelbase_sals, s_val)\n", " list_of_modelbase_temps = np.append(list_of_modelbase_temps, t_val)" ] }, { "cell_type": "code", "execution_count": 108, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 108, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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ee0Lp1GkAaDuuRLSqOblpK6rVIu2Ys+3VERNaRux1UVKa9krZsSUrEW0Ftq6Z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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize = (10,10))\n", "c, xedge, yedge, im = ax.hist2d(list_of_ferrybase_sals, \n", " list_of_modelbase_sals, bins = 100, norm=LogNorm())\n", "im\n", "fig.colorbar(im, ax=ax)\n", "ax.set_xlabel('Ferry Data')\n", "ax.set_ylabel('Model')\n", "ax.set_title('Base Case Salinity, rn_crban = 100, rn_charn = 70000, nn_z0_met = 2')" ] }, { "cell_type": "code", "execution_count": 102, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "bias = 1.52707575253\n", "RMSE = 5.24464144716\n", "Willmott = 0.777509231541\n" ] } ], "source": [ "print('bias = ' + str(-np.mean(list_of_ferrybase_sals) + np.mean(list_of_modelbase_sals)))\n", "print('RMSE = ' + str(np.sqrt(np.sum((list_of_modelbase_sals - list_of_ferrybase_sals)**2) \n", " / len(list_of_modelbase_sals))))\n", "xbar = np.mean(list_of_ferrybase_sals)\n", "print('Willmott = ' + str(1-(np.sum((list_of_modelbase_sals - list_of_ferrybase_sals)**2) / \n", " np.sum((np.abs(list_of_modelbase_sals - xbar) \n", " + np.abs(list_of_ferrybase_sals - xbar))**2))))" ] }, { "cell_type": "code", "execution_count": 126, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 126, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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/vODfJLoquHvz4lQ8vvCuz6V18fgsuAH2wP54gC74hAqDpKX0XZ9D/QcWvHb4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\n6xTCax0upffNkF7f3xeUqyVOpxOcB96YE8X0PRO+dinMtVb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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize = (10,10))\n", "c, xedge, yedge, im = ax.hist2d(list_of_ferry_temps, \n", " list_of_model_temps, bins = 100, norm=LogNorm())\n", "im\n", "fig.colorbar(im, ax=ax)\n", "ax.set_xlabel('Ferry Data')\n", "ax.set_ylabel('Model')\n", "ax.set_title('Test A temperature, rn_crban = 150, rn_charn = 20000, nn_z0_met = 1')" ] }, { "cell_type": "code", "execution_count": 117, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "bias = 0.258567960931\n", "RMSE = 1.29489138075\n", "Willmott = 0.936657379399\n" ] } ], "source": [ "print('bias = ' + str(-np.mean(list_of_ferry_temps) + np.mean(list_of_model_temps)))\n", "print('RMSE = ' + str(np.sqrt(np.sum((list_of_model_temps - list_of_ferry_temps)**2) \n", " / len(list_of_model_temps))))\n", "xbar = np.mean(list_of_ferry_temps)\n", "print('Willmott = ' + str(1-(np.sum((list_of_model_temps - list_of_ferry_temps)**2) / \n", " np.sum((np.abs(list_of_model_temps - xbar) + \n", " np.abs(list_of_ferry_temps - xbar))**2))))" ] }, { "cell_type": "code", "execution_count": 129, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 129, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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elI61w0nE/AAAAPQqRn4AAAAPOQQAAOhVjPwAAJB3juf8AAAA9CxGftBx7coc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\nIN6eTfv8LK2+Uly6otrvz1dcjLO9xj9xp9euBK/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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize = (10,10))\n", "c, xedge, yedge, im = ax.hist2d(list_of_ferryb_temps, \n", " list_of_modelb_temps, bins = 100, norm=LogNorm())\n", "im\n", "fig.colorbar(im, ax=ax)\n", "ax.set_xlabel('Ferry Data')\n", "ax.set_ylabel('Model')\n", "ax.set_title('Test B temperature, rn_crban = 100, rn_charn = 70000, nn_z0_met = 1')" ] }, { "cell_type": "code", "execution_count": 119, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "bias = 0.251609941141\n", "RMSE = 1.28521044168\n", "Willmott = 0.937553154873\n" ] } ], "source": [ "print('bias = ' + str(-np.mean(list_of_ferryb_temps) + np.mean(list_of_modelb_temps)))\n", "print('RMSE = ' + str(np.sqrt(np.sum((list_of_modelb_temps - list_of_ferryb_temps)**2) \n", " / len(list_of_modelb_temps))))\n", "xbar = np.mean(list_of_ferryb_temps)\n", "print('Willmott = ' + str(1-(np.sum((list_of_modelb_temps - list_of_ferryb_temps)**2) / \n", " np.sum((np.abs(list_of_modelb_temps - xbar) + \n", " np.abs(list_of_ferryb_temps - xbar))**2))))" ] }, { "cell_type": "code", "execution_count": 128, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 128, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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J6+LiZ/v27dq3b99qDwNY1y7tiG/VtHvfxxM9Aaw2M/tBK/f3+HhZt39+W0v2VTrte0/2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\nABc/K+Dyp7+jofWCGzFrbmRL1Gf8mf43k+Xe+NJ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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize = (10,10))\n", "c, xedge, yedge, im = ax.hist2d(list_of_ferrybase_temps, \n", " list_of_modelbase_temps, bins = 100, norm=LogNorm())\n", "im\n", "fig.colorbar(im, ax=ax)\n", "ax.set_xlabel('Ferry Data')\n", "ax.set_ylabel('Model')\n", "ax.set_title('Base case temperature, rn_crban = 100, rn_charn = 70000, nn_z0_met = 2')" ] }, { "cell_type": "code", "execution_count": 121, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "bias = 0.210272817755\n", "RMSE = 1.27960250075\n", "Willmott = 0.937364638967\n" ] } ], "source": [ "print('bias = ' + str(-np.mean(list_of_ferrybase_temps) + np.mean(list_of_modelbase_temps)))\n", "print('RMSE = ' + str(np.sqrt(np.sum((list_of_modelbase_temps - list_of_ferrybase_temps)**2) \n", " / len(list_of_modelbase_temps))))\n", "xbar = np.mean(list_of_ferrybase_temps)\n", "print('Willmott = ' + str(1-(np.sum((list_of_modelbase_temps - list_of_ferrybase_temps)**2) / \n", " np.sum((np.abs(list_of_modelbase_temps - xbar) + \n", " np.abs(list_of_ferrybase_temps - xbar))**2))))" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "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": "3.6.0" } }, "nbformat": 4, "nbformat_minor": 2 }