{ "metadata": { "name": "" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "About this document" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This is actually something called an iPython notebook, which we will probably be using throughout the term. Basically it's a mixture of text and Python code that can be executed inside a web browers. The adventurous and/or computer-literate among you might like to do some googling to learn about iPython notebooks and why they are useful. When you installed Canopy you also installed the capability to create and run these notebooks yourself on your own computer." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You have a choice to either input the code from this document by hand into your Canopy environment, OR figure out how to run this document directly with iPython. The output should be the same either way." ] }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "The CESM slab ocean model" ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "About the model" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We are using a version of the Community Earth System Model (CESM) which is developed and maintained at the National Center for Atmospheric Research in Boulder, CO. See the CESM website here: http://www2.cesm.ucar.edu\n", "\n", "Our experiments will use CESM in the so-called \"Slab Ocean Model\" mode, in which the ocean is represented by a static layer of water with some heat capacity but no motion. This greatly simplifies the necessary calculations, particularly the time required for the model to reach equilibrium. The net effect heat transport by ocean currents is prescribed through a so-called \"q-flux\", which really just means we prescribed sources and sinks of heat at different locations. For (lots of) details, see http://www2.cesm.ucar.edu/working-groups/pwg/documentation/cesm1-paleo-toolkit/ocean/som\n", "\n", "The atmosphere runs on a grid with resolution of about 2\u00ba (latitude-longitude), and 26 levels in the vertical. The land model uses the same 2\u00ba horizontal grid. The sea ice and ocean models use a finer grid, about 1\u00ba.\n", "\n", "The model runs on one of our local compute clusters here at U. Albany. We can simulate about 5 years per day by running the model on 32 cores. Equilibration time for the slab ocean model is roughly 20 years. Thus it takes a few days to run any particularly scenario out to equilibrium. The atmospheric GCM uses about half of the cpu time, the sea ice uses about one quarter, and the rest goes to the land model, the coupler, and various other bits and pieces.\n", "\n", "We will begin with a \"control run\", i.e. we will set up the model with (approximately) realistic conditions and run it out to equilibrium. We can then measure how well our simulated climate agrees with observations." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Description of input" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "First, let's take a look at some of the ingredients that go into the control run. All of the necessary data will be served up by a special data server sitting in the department, so you should be able to run the code below to interact with the data on any computer that is connected to the internet." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can browse the available data through a web interface here: http://ramadda.atmos.albany.edu:8080/repository/entry/show/Top/Users/Brian+Rose\n", "You should see a folder called CESM runs, and within that folder, another folder called som_input which contains all the input files." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The files are stored in a format called NetCDF. Python has some nice interfaces for working with NetCDF data files, including accessing files remotely over the internet. To begin, we need to import the Python package \"netCDF4\" to read the data files. The second command may or may not be necessary (depending on the details of your Python setup) to make some special array and graphics tools available to us. It won't hurt anyway." ] }, { "cell_type": "code", "collapsed": false, "input": [ "import netCDF4 as nc\n", "from pylab import *" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Wherever you see an example of Python code like the above in this notebook, you should enter this code into your own Python environment exactly as written. Though of course you are encouraged to experiment and tinker with the code." ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Boundary conditions: continents and topography" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here we are going to load the input topography file and list all the variables in that file. The crazy-looking URL is a link to the data server." ] }, { "cell_type": "code", "collapsed": false, "input": [ "topo = nc.Dataset( \"http://ramadda.atmos.albany.edu:8080/repository/opendap/9a144a50-a3fe-4790-9952-1bd38642a09f/entry.das\" )\n", "for v in topo.variables: print(v)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "lat\n", "lon\n", "PHIS\n", "SGH\n", "SGH30\n", "LANDFRAC\n", "LANDM_COSLAT\n" ] } ], "prompt_number": 12 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The output of our little for loop is a list of variable names contained in the file we just opened. Each variables contains some data along with a bunch of descriptive information about the data. Here's an example:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "print topo.variables['PHIS']" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "\n", "float64 PHIS(lat, lon)\n", " _FillValue: 1e+36\n", " missing_value: 1e+36\n", " long_name: surface geopotential\n", " units: m2/s2\n", " from_hires: true\n", " filter: remap\n", "unlimited dimensions: \n", "current shape = (96, 144)\n", "\n" ] } ], "prompt_number": 4 }, { "cell_type": "markdown", "metadata": {}, "source": [ "This shows the syntax for reading a particular variable, which in this code is the surface geopotential (from which we can get surface elevation). It will be handy to store the grid information (latitude and longitude) in some local arrays. The example below shows that by adding [:] at the end of the expression, we reference just the data itself and not the accompanying decription." ] }, { "cell_type": "code", "collapsed": false, "input": [ "lat = topo.variables['lat'][:]\n", "lon = topo.variables['lon'][:]\n", "print lat.shape, lon.shape" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "(96,) (144,)\n" ] } ], "prompt_number": 5 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we have made local copies of these two arrays that contain coordinate information for the actual data in the file. The .shape command used above gives us information about the dimensions of the arrays, in this case, 96 latitude points and 144 longitude points. If you like can also try just typing \"print lat or \"print lon and see the coordinates themselves." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We will now read the geopotential and make a plot of the topography of the Earth's surface as represented on the 2\u00ba grid. The code below makes a colorful plot of the topography. We also use the land-sea mask in order to plot nothing at grid points that are entirely ocean-covered. Execute this code exactly as written first, and then play around with it to see how you might customize the graph. Note that the function pcolormesh does most of the work here. It's a function that makes color 2D plots of an array." ] }, { "cell_type": "code", "collapsed": false, "input": [ "height = topo.variables['PHIS'][:] / 9.8 / 1000 # in meters\n", "height_masked = ma.MaskedArray(height, topo.variables['LANDFRAC'][:] == 0. )\n", "fig1 = figure()\n", "ax1 = fig1.add_subplot(1, 1, 1)\n", "cax1 = ax1.pcolormesh( lon, lat, height_masked )\n", "ax1.set_title('Topography (km) and land-sea mask in CESM')\n", "ax1.axis([0, 360, -90, 90])\n", "ax1.set_xlabel('Longitude'); ax1.set_ylabel('Latitude');\n", "cbar1 = colorbar(cax1);" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAW8AAAEZCAYAAABYR6TIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzsnXl8FEX6/z+dg5CQhBCOgBAYEOVQ7kBAQCIiCCyoqKus\ncqob8UDF8/tTEXThq6sLuuyqeCGXfN1d3VVcFWUlIqAB5EZYRAxyRCCESGLOSer3R9fT3VPTPTOZ\nzNEzqffrNa/qo7q6+qp56nmeekphjDFIJBKJJKKICXcFJBKJRFJ/ZOMtkUgkEYhsvCUSiSQCkY23\nRCKRRCCy8ZZIJJIIRDbeEolEEoHIxttGTJ8+HU8++WTAyrvtttvw7rvvAgDefvttDB8+PCDl3n33\n3Vi+fHlAyvKFnJwcvPnmm6b75s2bhylTpoT8vNFEXl4eMjMzfcq7evVqjBkzJsg1kvhCRDXeycnJ\nSElJQUpKCmJiYpCUlKStr1mzJtzVazCKokBRlICUdfz4cXzxxRe44YYbAlKekbvvvhvPP/98wMu1\nwtN9CdT9qu95Gyu33HIL1q1b5/fxJ0+exJQpU9C1a1c0b94cffr0weLFi1FXV4eCggLExMRo3zT9\n/v73vwMATp06hcceewyXXnopmjdvjl69emlCBB3bv39/l/MVFRWhSZMm6Ny5s/8XbVMiqvEuKytD\naWkpSktL0alTJ3z00Ufa+uTJk8NaN8YY7DTeadGiRZg+fTpiY2MDXnbPnj3RqlUrrF27NuBl1xc7\n3XOJZ37++Wf07t0bpaWlWLJkCYqKirBixQps2LABZWVlWr5ffvlF+65LS0tx4403AgCeffZZnDx5\nEp9++inOnTuHlStXIiMjw+UcFRUV2L9/v7b+zjvvoEuXLlH5JxxRjbcVNTU1WLVqFQYPHowhQ4Zg\n9erVcDqdANQuYYcOHfCXv/wFDocDY8aMQX5+vnZseXk5XnnlFfTq1QujR492aZAYY3jnnXfQs2dP\n9OnTB8uXL0dMTAzq6uoAqN3qhQsXYvTo0WjevDmOHDmCZcuWoWfPnkhLS8O1117rUp63ugDAr7/+\niptuugkZGRm4/fbbceLECQCqtPvQQw+55J04cSJefPFF03vyxRdfYPDgwZb37OGHH8bw4cNx/vx5\nvP322xg2bBjmzZuH9u3bIysrC3v37sU//vEP9OrVC1lZWW7S1uDBg/HFF19Yln/jjTeiXbt2yMzM\nxJw5c3DkyBFt3/Tp0zFnzhzT6wSA/fv347e//S0uuOACPP7449qz8IVQnvfZZ59F37590bx5c/Tu\n3VtrNJxOJ/72t79h5MiR6Nu3L958801UV1cDAEpKSvCb3/wGbdq0wUUXXYS5c+fi9OnTludwOBx4\n5ZVXMGTIEGRkZOCRRx7Br7/+it/+9rdo164d7r//fpSWlvp0/Zs2bcLYsWORnp6ODh064E9/+pPp\nOf/85z/jkksuwcmTJ932ieq3mJgYrF69Gn379kXXrl2xePFiy2t58skn0bJlS/zrX//C2LFjER8f\njz59+uDDDz9Eamqq5XHE3/72N9xxxx3o0KEDYmJi0LdvX1x99dUueaZMmeKi0lu5ciWmTp0anX/y\nLEJxOBzsP//5D2OMsbfeeov17t2bbdu2jX377besb9++bNmyZYwxxjZs2MDi4+PZlClTWGFhIVu2\nbBlr1qwZKysrY4wxNnfuXHbFFVew//73v+w///kPczgcbMOGDYwxxtauXcsuvPBCtmnTJrZnzx42\nZMgQFhMTw2praxljjI0YMYJdcMEF7KOPPmI1NTWspqaG/fvf/2ZHjhxh1dXVbM2aNSwxMZH9+uuv\nPtVl2rRpLDU1lb3//vvszJkz7De/+Q174oknGGOMbd26lV1wwQWsrq6OMcbYmTNnWFJSEjt9+rTb\nvamtrWVJSUns+++/17YtW7aMDRs2jNXV1bHbb7+dXX311ayiokLb16RJE/aHP/yBFRcXs9zcXNal\nSxc2depUdvLkSbZs2TLWpUsXl3O8/vrrbPTo0ZbPZ9myZaysrIydPHmSTZkyhd1yyy3aPk/XWVdX\nx9q0acNeeOEFdubMGTZnzhzWpEkT9uabb5qe56mnnmK33npryM+7b98+1q1bN3bixAnGGGMHDx5k\nhYWFjDHGXnrpJTZy5Ei2b98+dvjwYZaTk8Nee+01xhhjZ8+eZe+//z6rqKhghw8fZmPGjGGPP/64\n5X10OBysX79+bOfOnWz37t0sNTWVDRw4kH344Yfs5MmTLDs7m61YscKn68/KymL//Oc/WW1tLSsp\nKWE7duxgjKnvZYcOHRhjjM2fP58NGDCAFRUVmdaH3iNCURQ2cuRIduDAAfbtt9+ylJQUdvjwYdNj\nL774YvbQQw9ZXuuPP/7IFEVhTqfTdP+MGTPYgAED2Ntvv82OHTtmemxBQQHLzMxkdXV1bP/+/ax7\n9+5s/fr1zOFwWJ43UomKxnvixIls6dKl2r7XX3+dTZw4kTGmvpiKorAffvhB2z9kyBD2j3/8gzHG\nWO/evdm6deu0fY8//jibPXs2Y4yxWbNmsSeffFLb9+abbzJFUbTGOycnh82cOdNjPYcNG6ady1td\npk2bxiZMmKDtW7NmDcvOztbWe/TowT7//HPGGGNLlixh48ePNz3nqVOnmKIo2p8GY+pHl52dzX77\n29+yG264gdXU1LjsS09P165r06ZNTFEUtmfPHsYYYzU1NSwpKYkVFBRox3z88cesW7duHq+d+P77\n71mLFi208j1dZ35+PsvMzNT2lZeXs4SEBJ8b71Cdd/fu3axTp04sLy9PK58YOnQo27x5s7b+z3/+\nk40bN860nM8//5xdeumlpvsYU9/zRYsWaetXXXUVmzRpkra+YMECNm3aNNNjxevv378/e+GFF9i5\nc+dc8m3YsIG1b9+ePfDAA2z48OHs/PnzlvUxa7zfe+89bX3MmDHslVdeMT02KSmJvf/++5ZlUwOc\nlpbm8jt48CBjjLHS0lK2ZMkS1rt3bxYfH88mTZrE9u7d63Ks0+lko0aNYuvWrWOPPvooW7hwYdQ2\n3lGhNtmyZQsGDBigrQ8YMABfffWVtp6cnIwuXbpo6/3798c333yDsrIy7N271/LYrVu3ol+/fi7H\niWRnZ7usb9q0CZMnT0anTp2QlpaGrVu3Ys+ePV7rAqgGsr59+2r72rZt69Ktnzp1KlatWgUAWLVq\nlaWXRevWrZGUlOTW7T18+DDWrl2LuXPnIi4uzmVfz549EROjvg6kR+zVqxcAIC4uDunp6S51OX78\nODp16mR6fgB44YUXMGrUKKSnp2PgwIEoKSnB0aNHvV5nfn4++vTpo+1LTExE9+7dLc8TqvNecskl\nmgFt8+bN6N27NxYsWIDHHnsM7du3x9y5c1FeXo5ff/0VW7Zswfjx49GiRQu0aNEC06dPx5YtWwAA\ndXV1+H//7/9h+PDhSEtLw/XXX4/vvvvOY7feWK+MjAyX9TZt2rg8F0/Xv2LFCuzevRtdunTBjTfe\niN27d2vHlZSU4I033sBjjz2GlJQUn+83AJd72q5dO5f6GMnMzNTugyfOnj2Lc+fOab9u3boBUL+d\ne+65B7t378bhw4cBAHfddZfLsYqiYOrUqVi2bBn+7//+D1OmTIlOlQmiROc9dOhQbN++XVvfvn07\nLr/8cm29rKwMP/zwg7b+7bffYsiQIUhOTkbv3r0tjx00aBB27typ7duxY4fbuY2NIGMMubm5GDFi\nBHbs2IGSkhIMGjTI5eWxqouxDCtuvfVWfPDBB9i9ezcOHjyIa6+91jSfoijo1q2b9oITPXr0wFtv\nvYWxY8fi0KFDlufxhcOHD6Nnz56m+/Lz87Fo0SIsXrwYhYWF2LZtGwDXa7O6zkGDBrk0KhUVFTh4\n8KBlPYyGqGCed//+/ZoBbejQoQBUz4uvv/4a33zzDT777DMsW7YMzZo1Q3Z2NtatW6c1PiUlJTh3\n7hwA4O9//zv+/e9/Y9myZSgqKsJ7771Xb2O3VV5v13/JJZdgxYoVKCwsRK9evXD77bdrx7Zo0QIf\nffQRZsyY4VMD6wkr4+Dll18eMCN3x44d8cADDyA/Px9VVVUu+yZNmoSPP/4YF154ITp06BCQ89mR\nqGi8r7nmGrz66qv49ttvsXPnTrz66qsuDVtsbCyefvpp/Pzzz1ixYgX27duH0aNHa8c+//zzOHTo\nEPLy8rBmzRrt2HHjxmHNmjX4+uuvsW/fPrz11ltuL6bxQ6qursaZM2eQkZGBpk2bYtmyZW4GSU91\n8fYBd+jQAVlZWZg6dSpuuOEGJCQkWOYdOXKk27kB4Oabb8bChQsxatQoF2NWfdm6dStGjhxpuu/E\niRNo1qwZ2rRpg8LCQsydO9dlv6frHDhwIKqqqrB48WKcOXMGTz75pMf8xn2hPO/27duRn5+Pmpoa\nJCYmIi4uTpNYp0yZgrlz52LHjh2oq6vDiRMn8NlnnwFQXeXS0tLQqlUrHDp0CM8995zlOeqLp+uv\nqanB6tWr8csvvwCA5mZr5PLLL8fq1asxadIkreGvL57+iJ555hmcPXsW119/PdatW4fq6mrs3bsX\n1113Hc6fP+9ShhmPPvoo9u/fD6fTiSNHjuDPf/4zbrzxRrfvoFmzZtiwYQPeeOMNv64hUoiKxvvW\nW2/FAw88gLvuuguzZs3C/fffj1tuuUXb37ZtWwwaNAjZ2dlYtWoVPvvsMyQnJwMAHnnkEVx77bWY\nNGkSFixYgEWLFmHEiBEA1Mb7qaeewm233YZbbrkFt9xyC5KSkjT1AuAqZSQkJOCll17C008/ja5d\nu2L79u24+eabXerqqS5mfsXi+rRp07B3716vA1MeeOABLF++XPO6MZY9depUzJ07FyNHjsTRo0d9\nOq+R7777DqdPn8aECRNM91977bWap8WECRNw0003uZTn6XwxMTFYv349Nm/ejD59+iAhIUGTdM0w\nlhXK854/fx6///3vkZ6ejiuuuAKDBg3CrbfeCgC44447MHPmTMydOxfp6em46qqrtJ7OzJkz0b59\ne1x88cWYMmUKZs6cWW83Nqtr8nb9q1atQufOndGxY0fk5+e7eCpRvlGjRuGtt97ChAkTsGvXLtNz\ni+f3tN9IRkYG9uzZg2bNmuGuu+5Cq1atMGXKFFxxxRXaNwAAaWlpLn7eVM+Kigpcd911aNGiBa67\n7jpkZmbiD3/4g2ld+vfv7+LbHY2uggqLVoUQJy8vD1OmTMGxY8caXNZf//pXrFu3Dh9++GHY6rJx\n40ZMnToVBQUFXvPecccduPLKK93+QBrK3XffjezsbEydOjWg5UokEt+J856l8VJZWYkvvvgCo0eP\nxqZNm/Daa6/hjjvuCFt9ampq8Nxzz+HBBx/0Kf/rr78elHr89a9/DUq5EonEd6JCbeINf7tMjDHM\nmzcPLVq0wMMPP4y77roLM2fODEtdDhw4gJYtWyI2NhazZs1qUB0kEknkE/VqE4lEIolGGoXkLZFI\nJNFGROq8+/bt6+KTK5FIJFaMGDECeXl5DSojUVFQ6WPeFi1aoLi4uEHn84WIlLx3796t+ZPa6ffU\nU0+FvQ6yTrJOjbFenur05ZdfNrjNqQTwBx9/NCAr2ESk5C2RSCShJj7cFRCQjbdEIpH4gN0aS7vV\nJ6LJyckJdxXckHXyDVkn3/G3XoqyyMNep+Uexh7xWnYo7lVi0M9QPyLSVVBRFERgtSWSRk0wG2/P\n5214e6EoCnwd8nYHzOOz1NbWIisrCx06dHAL0FVRUYE777wTe/bsQWpqKubMmYNrrrnG43mk5B1k\nFGUBXzJ/ORl7KnSVkUQ9ikLBmEhOpBlqUgCk8+V0YR9B7+hZnhYDoFl6KHBUDU/jhZSakkTDucXU\nPxTlbUPdKoR6qOuMPd6gc/hCQxvLl156CT179nSZ+YhYvnw5mjVrhp07d+Lo0aMYOXIkJk6c6HFQ\nn2y8JRJJiJgkrFMDXAr9z4EaZ3E9/DTEYHn8+HF8/PHHePzxx7FokXsPpHnz5igtLUVNTQ2Ki4uR\nlJTkdTR21DXeivJHvkSXZnXL6cVxGpbVf3BFmW9Yf8ptXT2Pvs0zDbvFZud23b9A2GJ+vQ3tekrs\nhf6eB0a6lXinIV/yAw88gOeff94l9K2RyZMnY+3atWjVqhWcTie+/vrroNZHUi/krZaEAjN1Ca3T\nPm8yZEueZujl0KHteeoQ0nY8TYP1q06aDxrtQu7QJwAc58sFPNUCb9KOw4bMgKrSAUIpmVvdtX0A\n9lvsA4CPPvoIbdq0Qb9+/SwHC/3lL39BXFwcCgsLsXfvXowfPx5Hjx51CT8tIlsUiUQi8QGrxrsf\n/xF/E/Zv2bIFH374IT7++GNUVlbi/PnzmDp1KlasWKHl2bhxI2677TYkJSUhOzsbF1xwAQ4dOuRx\nCkDZeAu4qyGiA1dLv248leoU++BJFaeq74zvpt2GjEQ//iqmFi5ciIULFwIAvvzyS7zwwgsuDTcA\nXHnllVi7di2uuuoqFBQUoLi42OvcrVHYeHuzdLtaqdW0RsgT52K9NtM1h8pLxNt5qJ7ufzpR+Ggl\nPuDLcxe/AfH9pz+GDF3rQnMM03zbNO1qX9Ulrl2XAn7EKbTk3ipJKHcp1YlYAEApL/QsWgEAjpVn\nomyXuoxveOY8nn7C56B0kpqE1CbpYEyfLSsUBOqLIkPk0qVLAQC5ubm4+eab8d133yErKwutW7fG\nSy+9FLL6SLygSr6iu6D40Vi7PLkbUQPTQ3CtV43HOngvy5vkaL6/MbpL1vf5RWuPMJIIRF9nxIgR\n2jSLubm52vbmzZv71GAbibrGm7F7XdYVZQlfokt1bahC6ScaXER/W0+vGu1z//OQhBN/Pkd6hnQs\nSdP0jI3vO+0TfbcBxnKgKKv5GvVWM4DSHuri9nTX4qj4NFWKLG2rStOZSceQya2NlKahxKXG5bz8\n08gAAJxMugDfXdYTAHAgmWuPC3lmcrooEq839NitsbRbfSQSicSW2M3KIBvvIOEu8Qey7D96zxSw\nc7mrOkQ1hy8+7777xUc3Uv0RuditsbRbfQKOuxrF86CX4JEI9yG+8fXw9hDVIVY+u54eqVVe67gS\nwaQx6rp1PPlci6oBUdVnts/K39lYfoWQAoyNNSx7NwAqymZ14euhavq9mpRx42PpyBTEohYAkMLV\nMy25ziMB1QCAciS5rNciFqfQRi0omccESVTcqw8gXO8qICXvqMd95Ju3/EZJTHwxw/N4vEn2oZT8\nJcFFUdYCBq8Qxm4KX2Vsjt3GsDa6xjv00p7Rp1rsBdSnC21lkKRXKkXYXgPrPwPRYGmU2kQJzvsr\n665Gsbqu8ElN9sEqoJMRbz2iGrgHiCLomFJhPQXgEm9DYEyVuBXlfXXDP3i8EoeaHBucidKkZJdj\nSAJvwQ2X5DKYxodYVqEJ9qCXmrmES9w0sJIMlzjK0wwwNqHB1+EPUvIOM4ryCl8ydlvFYDgAY3OC\ncO4FUeDV4o5+T+t73AL40tvwds/cewKusWo8H0uDl4yfpqieoHclXdviq4Sq/5HZ7dM3R1HyAZzm\nawUA3IUOu+GLXSYQ2K2xtFt9oghRgvXFxcnscVh99KLEnSFsd5rUwQr603IajheldE9Su3iedMM+\nKleiYnZ/vQUDsVoXyzHDrHdFEjg9p/ZCXu8wpkrcirJe3fDXUQCAspRW+Gru5QCAzrzx74b/AoCm\nC2+i6br16z6GTHXhX3zDMtqjx70Ol8RNxPvaWobodZeNt0QikfhAnGy8Q4PeHSaJtL1VVovj34BV\n4HcVekLiLfTcPfY8m4jEDFW686TDr09ZpMZo6AQBewz1oZ7LKejR7qKnt6FOhgAwNj2s9Qg38bHh\nroErUdt4W9Obp9QgF8N1FhAgMGEmRaOTWfc4UcjjS7dVNFTy2A/gI+E0NYoT7gHtjTHMjRjDhop5\nRX1vD0Ne8HOcEso13ltAj0dhrI84VI+g83HXMS08qSeoTuQ1UWyV0QS6DuPsMmLDbqVC8gXRJdB4\nr2m7WJ54H81jQLuWa/VnZCxbdBWk+5Uk5KXUAX1WHSu4ZbGCp990QOGhzgCAUxerglMRdyMkQ2U1\nEgAA/0U3AMBKTMHRh3kQpr9Sufk89Xb+0Dkh+Cx5hwibVUciCSzSrTFwKMq7AMLrTki9AFcvrttD\ncu74hJCcxmeiuPF28JS7ILlJuSQtxsP7QBdR8qrwcIy4nSQsM8mIJCpy66pPzBE6H0ly6a6ba+MB\nRuf0VQI3K5/qxK8jjqcUfL8sFSjh28hDLI2nFNKilM6/g6cnYO3RQWouB09JInZClxRFQ6h4XVRn\nesZG1IFR+ghYcfKCNoY6pMMV8Xyi8dEJ3ceNehvifIViL8+Tms2qBxgHd7WdVblGlV+pYdkMul6H\nYZ16QAVe6shd+Qo6AE2d/Ai1HBqAQxL3d1DjmBQuVCV0LAZQRO8GwFh/UPhCRTlgcd4wYLPW0mbV\naTia/6lEYoEqjdttyIXEiN5jamPY9rZl3pDEpbdZa2mz6gSSrjwVo6uRFEh60fpEKROlG+M2by59\niYZzWUljns5ptS5Ig05j3UQJ2xeJWyyX4PfNycs4bnK9pH6/RNh+iku1u3LUtPQ8rPXSvk7VBbj7\n54vR8jxdZ42Qmrk1xrtWqRmt8w3Uw6DudG08UHkRX6GU8zNPz9F1FwjnNULPmCRh6l0Ze1LicWKv\nwCx6pnFY/CMmxts44Rjje2ourTM2CwCN1ARQBqBMLaeE36AtxZcBAKqf4O/BKip+j6Gc/qblu/dy\nROpj32ggNmstbVYdiUQisSnS2yTwqG59ADAorPWQSCIFGd3QD2zWWtqsOoGARzvTut3UhSbDBxmS\njMYtb65aInGwHnkoYlQDiIZDGPZ5WjeD6ih2w1MMeUSjldV1eVKniOfZqiaM/OZToXXv2/JNrYUi\nqEqkXtiVCpzlXWhmVQdRJeKEe3eenuVxYbuoFvCEaCxOhJt7ZBzfR9dF10lqE6NERsW0EvL+yNN/\n8zILyfh6Au73XXT/E9UoiXBXEZndL8CzWlCMsyJ+M8Zyvfl58/OUQTNUk4tg9ev8Wb8iGiV7wwrS\nYeuGZSvSQ+ZtApt5m1jPK29zFGW+jBEtkUg0qE0IWrsQ5+PPgtraWvTr1w8TJrgP81+9ejX69OmD\nPn364He/+x0OHTrkU3WiADGiHuBuiCoWUsIoRRu3GfG0vz7HNiQ4kZWE7x6j2fuxokQuDiAxHgMP\neagMXk4Rz1MiZKH1E4Z1Jg7kEd39aDtJmMb60LYCnpobKD0FpdKlctFIZzTs8fOUcon3ZyErnY5c\nJI1VFG8fSelkRy8kd8TTbvV2R3xuiXB/hu69OuP1uzZoVu6FohHXd/RYJwXAHxwAgOOX8ItdyjOl\n9AfzNN7ItFwbBcVqYGv50ksvoWfPnigtFR0WgC5dumDjxo1o3rw5li9fjmeeeQYrV670WF7ESt4S\niS+I0pjssfmPorzidwTJqCDWx58Jx48fx8cff4zbb78djDG3/UOGDEHz5s0BAOPHj8eXX37ptTpR\nInkbB8+IbmNWum5fsIqwZ0b9YpyY16U+krkoJYnD2c2uU9TTU5oh7DceL9bJgxvZXp73MG2mvIdd\n86HGcLw+/JmxmwyT4IqSuBGjdOlv6F6nRRpnKJ90tLwO5/jqOX6PDzvUNJGn7aEPXiL9eKVwWtKF\nt+D36pwD+j0Q9dTiMzU+PytXQXOMQ8jdw9T68s74JjIz5jCc522+ZHxXgidJB32YfANaywceeADP\nP/88zp/3fh9fe+01U9VKAKsjkUgkjQiL1jLvnPqz4qOPPkKbNm3Qr18/5OXleTzF+vXrsWrVKmzZ\nssXf6kgkoSfYo2Mbm7qErjfQEimNfgzJqMZ6YDYFYUB15hatZU5r9UfM/9F1/5YtW/Dhhx/i448/\nRmVlJc6fP4+pU6dixYoVLvn27NmDO++8E59++inS0tLgDYWZKWBsjqIoLnojvXtmHIUlGiqtDHpG\n40994k5YQWWIkdrioXePT8Mznv5TxbrRukNYNyuPIvRxAxzZHsmIlga9m3+Gp7/ylHrUtTylXnoZ\nDMZHUk0VCKm1m5n+7IxR9gCze9WQxsJq4mn3Dz4R+v0yqmdm+XCOHdAiHA7n5XW1yHyMp3nQR61a\nGm/NVFdixEaK4+Iev8R6mjpyPcyAK3TeJOj3hZ7HUS1XpDTeYnvhX9kK2EQf834Iy/N9+eWXeOGF\nF7B27VqX7T/99BOuvPJKrFq1CtnZ2T6dR0rekohBUeYHTIqMtOnJGoLaqNXfg8R7ueo9jMap/UwJ\nUGupKOo8nUuXqm44ubm5ePrpp1FcXIw777wTABAfH4+tW7d6LicaJG99+3z4ZlyEIV+qyTGi9Fqf\nmCCEGCc6Du7SkrcPylMMcLH89sJ2QK9vomtK4a8pBgn10OKhS94FPCUJsYqnVJ2mPK0x5HVu1s5M\nE9V6Qx8dS9Ef6XoO8pTiXzh5uf413qLk7bnx9n0OTPfz0GQb6rRg6McHolzKN5NbIblPHoRuz3Xz\nIBPdXY1xeUoNy8Z9ouuoJ8MvvSv0QrQRthvfPeoBUZxt3eXWLo23fu+NkveswEneN/qY9+/Wkncg\niVjJ26h3a2y6zEhAdSmz3wcOiH/ykoYSbgk8ULMjecVmr4zNqtNQPA24sRrObnaMla7RDFEq9/QC\nUXlinGixLKN+XoinrSlReZrI95MLGkl2zQyHlggpSc2kvya9NqBL3iTYkcQtmgyMUiKVoynRN8N3\nhAExGvUczeE37hJpQxohcl3UehQ7+bOO5SEXB/KM7Q3pML5Mo/z38vSwGBGT7CjGe2UWU9yIcYo2\nq2nkxFjqxt6b+Bwojxil0w4EWQVms9bSZtWRSCQSmyKjCgYWOc1V40OqySRhwWatZVir43A4kJqa\nitjYWM26WlpailtvvRU7d+5E//79sWrVKiQnJ3spyWiQ8zZ5rDiarKGzfIuj4nyZWCHRIhUj6hl1\nFVxN0pUbl8h44uApqTuchuy0719CKt5OUqf8bCinjKdFYlWOCxsyoHezaTaGdPEgD9B92+O2x//R\nk77gDPIqJT3IAAAgAElEQVSIPHLd+1RNtt+ipn35s+YzgKEp9GfmsCiiVHxPaqDfW1FdYmXgNo4+\nFveJkz0Yy7Sari6Qk3UHCv9js/hEU+9ZQklYY5soioK8vDzs3LlTc4t55ZVX0LFjR3z//ffo0KED\nXn311XBWURIgFGWBjCEd5UT9M25AbJNgEPaOgOhSs3XrVjzxxBNISEjAzJkz8b//+78WR8bB3W2u\nP3SDijjwgcSYCuGYRLi7W4nxLkRqYC0lW7jnuUwaS6k3A6Yxwh2/rky+SkauS3lZlXEuRSd2OIc2\nqeo1Hy3prm4UpWgyNFK0PDNBSxOsKEaMeI+MEzhTjGq6t6eFY8xwl9y8GQyDHsMiAIjXoCifqAvr\nxqopGYId0F01CYoBLo6dod4QS4W7+6A3MqC/Z/SQU4U84vtZAWtXRMJ9QFOocb/XQfoDCXtr6UpY\nq6MoCkaOHInOnTtj5syZmDhxIrZt24bu3dXGpnv37l4d1SWRia63ttkXIZFYYbNXNazV2bx5M9q1\na4cDBw5gwoQJGDRoUD2c2z+H6g8HAKMBZAEteuhqV5JSfiTxRZSMyVcrA/ook7NCXk+4D0NWsRJd\njcPwRUg672CyjyQeLiWRvppLa4lp7rGBAaBl6lmkUB0d/Jq7u0rnbmmBoQDtzaD6n4I5J0z2iW6Z\nntB7N5EgUfsLY6rErSjvqhtWXqWmPdKB8TwTRSQkSZzmMKbbqU1inAj33pqnwTgQ8lvFdxef4wm4\nx0y3wk4jVb8H1XvevADqv23mbRJWnXe7durb2qNHD0ycOBFr167FwIEDceCA2kU/cOAABg4caHH0\nOKhWuxsBZIWiuhKJJCLoDOAKAFdg3rx5gSu2gTPpBJqwNd7l5eXajBJnzpzBunXrcPXVVyM7Oxtv\nvfUWKioq8NZbb2Hw4MHhqqIkCMjJECQRi80a77CpTU6dOoXrrrsOANCyZUs8+OCDyMzMxKxZs3Dr\nrbeiW7du6N+/P5577jmLEtpDt+i00Te7DdijbhO5Q8UJ68ZtdJDVJAlGN8QUIa9ohBQNORWGfWJd\naOQcpwVP+wLoy9Ul5KZEKe9CVyS3cN0ep6qdSptWobpJE161WNcqUpXEeCXGqILa/fOmEnHCfWo5\n0dCbzmNMmDfa0awusYa/S82gG45JXdKXp9fwlAasruHpDwDOkbHRV4Olp4kWCDES5yn4Pml2kNzz\n/CBo75PNJiAOW+PduXNn7Nq1y217SkoKPvjggzDUSBJM9KBBEklw0MML6246ZGsICNJgGSh6QJdg\nueR67rw+VZVbfGPKS1Yg4jz0YBKiFCPGFSEjpwO6FE7Hkiud1S11wjr+SYrroeQqdiuQeIN6QVUV\nqhRd9wM30q7nebgHmmbsylLDTf5ykAqB+xy+xomAAd0IOhi6UewjOlg09NK9SDHst3LHtBrgoe5v\nnBI3v48Kvxc50E02fPzVhb33AwDS+AP6rkdPAEDFcd7LqoX+7JgY70QcNGbWm7QyyNN2Mtyfh3sv\nSrdyN7rnZ7PW0mbVkUgkkvqh9+qsxksECJt5m0Rw450CXQo4ZUhF/StB8aJFHXUx9IeeDsbGGibB\n1V8GxsZCodUB0CeYXePgCwX1q76x/HZcwr+Bb76apw6gooRLuCX8UdFAG1HFTjpv49B3ykM6VVEC\nTxbWndBn0Cmle2p1P43377i2VdVtL7E4Ji7IQ94jCLr3vaB3BltVuWSJ5Q/OkVoAADhwZwt9p2UM\ncE9xvK1CRFBKz/wEdPyPbR56+vO0h8dcfmOz1tJm1ZFIJBKbYrPWMqx+3naEz1Dkvv2O0NZDIpHY\nDD9jm1RWViI7Oxt9+/bF4MGDsXjxYtPit23bhoEDB6JHjx7IycnxWh2b/ZfUhyQAH/JlmhTVGO9E\njHtiNpUUoPY7HXyZd7c68whwPCSIZqe8n6eXQnfr2sfTvVZTpxHGSR+4NbwV7y/z2Fu/m/gWAKAX\nN4JuRxbe+5DXZTs/lAxVonFzutrlvvACtT9djiQUHuKh60irQeoTMsZTdcg9cB+A9XRfdgiZRNdI\n3bjry+S8Ul1C8PtnfH5chRIT62ocJLUJGS4HXKz6DH47bCjwtlCe2/tN60bXTtL70bMknQsZ20ld\nYj15sb0R1JCBxs+ogk2bNsWGDRuQlJSEqqoqDBgwABMmTEDXrvrs1IwxzJw5E4sXL8aoUaNQVFTk\noUSVCG68JXbDWtctkVjjbdCWbf5AGtBaJiWpXkFlZWVwOp1ISHB1Gt++fTt69+6NUaPUuU9btWrl\nVkYAqxNuygG05MstwdgEofEwGtQAXbog1yqjxELLgqGDJFLynDJGgiODE7l57aVjyegjTqWWCl3y\n4cZTrooZNHEjAOCPeAQA0D5fPeGG7CF4r5XQC+DEXKnOXTYxYy0AIJtPDJvJZww+hkxsufgyAMDa\npupgKKyPc70uukU0128eoEvcBTw1TqAMuA/kMEM0iEl0uLRLLq3noPWe6pJdP8da3geP1eeZ09GE\ndNHoKLoKGuOXiLG/jVOkAZFvUOb39oznXH7TAG+Turo69OvXD/v378eLL76IzMxMl/3r1q2DoigY\nPnw40tLScM8992DMmDEey4zgxlsikUhCSANay5iYGOzevRsFBQUYN24chg4din79+mn7KysrsWvX\nLqxfvx7l5eW46qqrsG/fPiQmWs+JGzWNt6JYRb2TBBt9ZJtEEsVYtJZ5e9SfLzgcDowbNw75+fku\njfeQIUNQVVWFtm3VblhWVhY2btzoUfqO4Mb7NHTfbfp3GgW920/deurmHwVjj5jMeWk05HB+FFKR\nEgDX8uVLeTplqJqSAZNGKhp9qsngQUZGPqFCFrdGtv+E62e4HfaK01+jeIKq5mnRucJlH24S6shP\nj7t52hRAwosAgH9feiUAYNr05QCAs//iFtg8npdGaRbtga4uEUPekjFLjG1i7I47hH3tAzs8OQpg\n7F4AhskZnhur+/UPU/Wgp9JUi3KTpGoAQALX12nqE+MsaG4jIEX1CX0bbeAej6SAp+ZhhUOFmU67\nfsHLqP55auI0qvSGImBYqE1y+qk/Yv47rvuLiooQFxeHtLQ0nD17Fp999hkefPBBlzyDBw/G/Pnz\nUV5ejsrKSuzcuRNDh3quewQ33hKJRBJC/PQ2KSwsxLRp01BbW4u2bdvioYceQrt27bB06VIAQG5u\nLlq2bIkZM2YgKysLrVu3xtNPP+117l6F+T77gW1QFAW6aAvo0sZp6NKEGNsEYOwRQxkkgbtK3oxN\nh6JQH4jcDNNd11OgC5kkgdM6ufKRffRXQxUp/giPcpv4G9VqdUPqPwAAf8ATAICOz/Dpw/ZCm0ms\nmEeW28wFKrKhknxF/9E9KIJuM73a59eocVHaV6nSc9kb3JKdx/P+k8S4d+HeY1FH1umSkNnkyeLE\nyrqEx9gkSNxRlFf40iggkbuM5vBN09SkyVWqQTEtXX2pmkCVxI+/3FXvYWkTN1PPSHx+7Q2paGym\nl9T4jdjEs8MPFOV9vjRI28ZYByiKUo9JXqzKVsA2+Zh3mPv0jsGg0Une7moTiTdk/O3Gi/HZ26Fh\nN6uPorzBtwQ5tonNWkubVaceDM8A6J+QGfXcomRoFUFNv3TGprvsYaw3AEBRqFyH66GlBcBeklq4\nTnceX9XiavO0gI6B7lbI04qf1VgVKwtUn8GVcWra/FG1V1Fyoh1Wd3EtRtRw0lXm8/T8N2qaAcDB\nvRfLY9VcZUV8ZNExuKbaKJ4KkzNY6VTN7u9pk21S8jaDBjYpyhKggs/T+gm34cSp7191vNrTO009\nPnLx/MZYEknN7gNsVIyS+Hkhb7RNQcfftduDVLzNWkubVUcikUhsis1aS5tVJ7hYjQDUVSkkVdL4\n8f4muSUSSaNEhoQNECUANJuAcWozcUp0Mp4VC3lh2C+qBohE89UKw3bSnoihCEh9YnzgdBrq/lJY\nz1U85RML/VKi+hJOLX4NL8b9HgDwIT+WFBMEXQ2ZVmn++TbNoRotAZRRLAsaYfktz6RF/qSudzz0\nixRHVLqGBBVnxonskXnhg7F73e0wn6hqE3Tj6zR4lz9P9ZGIE2CQSkR8l2l/PNzdCL2rS+ymTjGv\nDzfKUsTcX02yBAKbtZY2q45EIpFY4248bwM3m1SwkHNYBoi9BXCPnJYK/ZK6CgeQmEuisjHuBkVZ\no3KEoO5dhWw7M6DJuk4+H1kuL28sN2D+RiiyCnpkQKrCf3m6lqQocvtSpaWVyh1YuVw1Ym6dqhqz\npg9URwEV8LJI3ur9El+YwNPv+Q/AHhrMRFOb0cxtWm+BSkmEbrEnCdwYmN9IdLiX2QMhUiMNMtnF\nnwWFwWhmPIacRcWp56x6kdEMl7wpXszfDbveEfM2AJu1ljarjsTu1Mdt0G5uZhJ36BnJ5+MDNmst\nbVad+mB0C3TwNNF1XlwAcJJUQzvIGFluUiZFHKTbwo+titeKB6BKQsdIOtec9NSE3BdJWqdBO/ug\nC6u0rahAKIPE9Jb69mnqAI5Bh1Vx+fpt6hRts/FnAICDOxHOgPoRbuAjPW7u/C6uH60O/vkKl6vF\nkR5em21LdPsLsp+sxBSyJeh2BD4iaz3vRg3hm8mgkQno74o+MTQNvbciuvz1jQPD6F7wXojTGAYg\ngO+0zVpLm1VHIpFI7AmT3iaSSEVRFoS7CpIgIdUn3qm1WWsZwbFNvoFmWLyCd5OMtpoCnh4j1QAZ\nLI3GOcDVhUqMpEfb+XmyuMqlCrrq4xiNTuSGSzeDEalrUg3bhG6eVifqF3cylGVVN9FJkHcPFW5k\n/RToNFqdZeH0ebXeFau4L9Vf+CEHxBniK+A+nZZ436JtVJ790F0H+XtwHQ8hSdPwHQTwLF/+8X3t\nOG9xZHxRm0TKM9Vjwzigx29xn/6MsR4Bi21S6aMLYtNmMraJRCIJENGi79b/2FI85gsGVQlNfMxZ\nHdR6EBHeeJtMNOrmKUV5aKSDODWXE+7uVu6DGQDo0nY89AmItfggVpOeksSsSrfGyXq9B8mKM9Ql\nTkjFOBVc8mZcCnk1FUePC3On0aHUWdC6J4QT7pK3cR8/RYRIZ5GLHoMeAPBPvvoHnl4KPX7H48LU\nfY2GVEMqDswLzvR7tbH2UnpHeOMtkQQG15C3xqBlkTly1F9JmwQKY/hkiUqtzcbHR3DjbXAB2uUh\nG03CrI1o5xIyCTdFZhKzEL+bjiH1bzsYBkyQnlqca06cGNY9uiF9ILoETtKucbaaVGGfGLlP1OHz\n7UWputsihT6nGXM0/fwe12O0ej1uYpyMcxkeLwkeYs9GUfLUhcdy1HQ6gCv5zlf9kbzNQkREGmZN\nl/W3FgicsvGWSCSSyKPWZs2lvWojkUj8RlHUAVyM3RKAshbxsiJTbRQMpNokoHCVwTmDG57CU7rP\nojZD7CHGAXBaTeNFFm0ajcm7ZWUZuncSqWWKaOTmKde8mhHFU1dONLDEmewTjTFUXiIYm2VwneIG\nzO0ZumFSmzGO1CQUF4NINPlI6R4Ex/hjN/RZWew30xJjOQAAReHBai69SJ3QGtAjD65fLRxF77Lx\n+fka9ySSmgWz7yo4aiB/G+/KykqMGDECVVVVaNq0KW666SY88MADbvn+53/+B++++y5atGiB1atX\no3v37ial6UTSU5JEKDLGiX/4e9+0Rj7AdfCnLoE4r13emSr46iroStOmTbFhwwYkJSWhqqoKAwYM\nwIQJE9C1qx48b+vWrfjqq6+wfft2rFu3Dg899BA++ugjD6VGdONdAX1wCUkU6XqMbyf/Ry4t4Ckd\nR9I0NzQmAnCS0ZHKodtC/+CiW14GcJFQ3AaaApikW5pCTXe5szL46bEtyKJoNFJydzGIA2ogxLIQ\nIhNWAPiRugckndBN8EUCI6NtcIw/doWxR2zsE71WTf73XiCPv5tnaB8N0KHulvg+urqpAmYjZsXm\nwI4RCgU3SlRAdxoQv9vA0hCdd1KSGjeprKwMTqcTCQmu8WXz8/Nxww03ID09HZMnT8YTTzzhtcwY\nv2sjkUgiCkVZoP0aVs78kP7Bhfp8VtQi1qefGXV1dejTpw8yMjJwzz33IDMz02X/1q1b0bNnT229\ndevW+OGHHzzWJ8IlbzN9Mun6zgsp/RtziZKuPM14OEm8og6c9IaGf/RKIdUQpZX2bhMcW2Mm6VDl\nrCRu2kbSO+lsD7gc40oEP/YQYJduulgPo11CUQr4EvWQjDHtAf29IVsM5TeW57vrpx0aT+8YXWwD\nj1XDvD3vV2zPM4tSqhMTE4Pdu3ejoKAA48aNw9ChQ9GvXz9tP2PMbUi9GgbEGvkVSyQSiQ9Y+Xn3\nzUlF3xzdaeK1+eKciDoOhwPjxo1Dfn6+S+OdnZ2N7777DmPGjAEAnDlzBl26dPFYH6k2iRJC0bUM\nRJdbIolUahHn00+kqKgIJSVqbI2zZ8/is88+wzXXXOOSJzs7G++99x7Onj2Ld955Bz16eB98FcGS\ntxPuaoaz0LtO4rRQ8a4pxSZpBn3i0nPi5Ls8bwtuEGnJ0yoA/+JZGBmEtmq1YOx2+DPzPGNq8H1F\noXnSjOogh7bfMxVg7Cnup0vXIU4yQesZsEaMItg4XAYjBcYcptt1ozef+k6bFSQd+vx30UQ83OP+\nBAd/XQULCwsxbdo01NbWom3btnjooYfQrl07LF26FACQm5uLQYMGYdiwYcjKykJ6ejpWrVrlpVQf\nrzY/Px8bNmzAY489hp9++gk///wzBg0a5NeFNAZU6VQGcpJEFnqvyujjb0ePk/BQ7aerYK9evbBj\nxw637bm5uS7rzz77LJ599lm3fFZ4bbwXLlyIffv2YefOnXjssceQnJyMu+66C9u3b/d2aJCpQIP+\ncWsNy5rRUZC4SWjJ4Wk7nh4GsIaO6Q3GAEWhh2M1YW99ILdAJ8yna/OFCuhxUMif0Sr+ihniRxuJ\n8S8aHxTTW++9RSa+CzypcI2VDwSrlxhxsU3Wrl2LzZs3Y8CAAQCA9PR0VFeHJl5tpKAo0eML7Rpd\nz99jZW/D7ijKEgCq55I+d6bEExEX26RDhw4ujfWBAwdw8cUXB7VS/mPUf1Hjk2LYB2iS7DnuYnUO\n0HXLJPE61OQqvnotT2ko/DcAaPBTKR1LgyIoYp/7oAjfMUpNDem2iu6S9YGkF5Jq6t+YE7IhDz2M\nuRq8FOVd6N9CqVt+lVE8pcFdh6Hbcuxm86DvPB1AG75M34qVi2zDiLjYJrm5uZgwYQJOnz6NGTNm\n4KuvvsLrr78eirpJJBKJbYi4xnvUqFG47LLL8Mknn6Curg4vv/wyEhP9l8Ik/kMGpXDH1RYjzkXG\nAA6JGapE7u+xjWvS4ojReRcXu3Y9rrjiCgBARUUFKioqkJ6ebnZYCDEaLI1/JsIECpo7nDjFmcmo\nSSs8ai7EqH85bl3W+kLqFnW0JF2jP3p1/drUmB3kTeCLJ4yTuxwuEbZ7VsE0lg858jhtso3UDRQX\nRRTKMqC7vFLMFGoXrFQvwcV9oorNITt3NRK8Zwohlo13//79tVmXf/rpJy2QSlVVFTp16oQff/wx\nZJVsLATK4GdmgHJvhL0fp/55BKeXJV6rL9cergh3Es80FtfYiFGbFBQUAABmz56NPn364JZb1ADv\na9asMfVZDD2noEu9BTy9CJrRhdz6mvL0R2GaMBeJm/YJvYlveNqWpw6eHgRQSsZN+uenOgD6ZMcN\nQ5WWffUEEHshiYZl+rBSTeOiuEJGLavBOdLvNxJRvUroz4/eFf4u0GTG63h6rEBNlR5Ad/4uU/TC\nIgo3+yVP6TsIF/kwzKhtQv0Hy1kRMWoT4rPPPsOLL76ImBh1JP20adPw3HPPBb1ikuDhLvW+4iF3\neJBuh5GLosyPymcWca6C48ePx/3334/p06eDMYaVK1di/PjxoaibF1Tdm6suV5whxke02Xe4vrw1\nrfOUJHCa6HgvoLvz0aCchvt6m73wvk5DpUcVJEk9Ffrj9VVadkDXaRujGM7x2APw50N1j5jnvYxo\nbBBCibu+WMigvcL82RuH4NcKebVeKr0vYjiK0KC+mxRJM9jxvCNM8n7yySfx1ltv4bHHHgMAjB07\nFjNnzgx6xSQSicRORFzjnZaWhjlz5mDOHDkRaTQgRgVUpZYU88w2JZgqlcbm/ibxnYhrvMlF0Iii\nKPjiiy+CUiFfYewRwzKpDJZAMyAWduJ7KYKeOHEvXXoq0JSrSy7hm2iSCzJ2buPpYTKMHIRuJNEN\noMY6hZ846AbLYiEVu5cOnvaArg7KAGNjTcoNzUg72XiGAHo9aMIWLQy1IT7PARptSe8OGSjJJbe3\nsL0ggBX0jVB9d1WR4ipIPP/889pycXExVq5c6TVIeEPZuHEjcnNz4XQ6MXv2bNx7rzcPCUkw8Obp\nYpdBQxIdX9wptaBViYHximosRJzknZWV5bJ+xRVXYNCgQZg/P3ij6u677z4sXboUnTp1wpgxYzB5\n8mS0atXK+4GogC4B0ACEJIu8Tj0l4WIITynWN92dg3QMDXQogNFFyk6Nlz7q8Y16HBVvsrzHLCNc\nw4VKIhqKpqkFCC3gKRn+zxu2iYPRxJg3wTUW2oGIa7yNIy2rqqqQl5eH1FQxBGPg+OWXXwAAl19+\nOQBg9OjRyM/Pt4mHi0QiaaxEnJ83jbQEgKZNm2LIkCF48cUXg1ahbdu2oXv37tp6z5498c0338jG\n28bos7fo7pIUV1rdbz6aMhB6bWlgtCeiYdxOvVN/iTg/74MHD6Jp06Yu2yor3aZMDznz5s3TlnNy\ncpCTk8PXvHXnxZgmifqAyME8pculu0N+3i4zudvNQClSAb1LK0wBp0EXSKPmTkGPBUMj06jndVg4\nlnpfbRBqqKEORkCsRvEnoPAXniYrL6XnT/pBilvi6VsSDf/GcQ7hVanl5eUhLy8v4OX6qzY5duwY\npk6ditOnT6N169b4/e9/j9/97nemebdt24YhQ4bgb3/7GyZNmmSah/DaeF922WVuw+HNtgWKgQMH\n4uGHH9bW9+/fj6uvvtotn7HxltgPNWCQ+2wuxgZXSs2NB30gDeDaQwv8s3cV5hAw+5y/jXd8fDwW\nL16Mvn37oqioCIMGDcKECROQkuLqoltbW4tHH30UV199NRhjFqXpWDbehYWFOHnyJMrLy7Fjxw4w\nxqAoCk6fPq0FqQoGzZs3B6B6nHTs2BGff/45nnrKtwesjrakod6+jvRKhKUHEN2dMtpAo8nsb6xT\nY1mIw96tHjd9TMZIce3NMppgvM806s5Kwg/s6DvZ6Lvj0z2hnqXWhgZ6VGR0Gi2r/JzDsm3btmjb\nVg2Q1KpVK1xyySXYvn27mxv2kiVLcMMNN2Dbtm1mxbhh2XivW7cOy5cvx4kTJ/Dggw9q2zt16oRn\nnnnGn2vwmRdffBG5ubmoqanB7NmzffQ0sRcyNofvkFRmFzVUtD47bZ7VxMAFa2oodnv2ngiEzvvw\n4cPYv3+/2wTuJ06cwAcffIAvvvgC27Zt0+yMnrCszfTp0zF9+nS89957uP766xtc6fowYsQIHDjg\n7wSq4mACB09J/0u6WsOl/5enNINZB54246lWFSrbAcZu8bN+oUOPC07+2olu+4yojVYBX6OBGqKL\nGFEhpIBuPOBpHJ8ajnqH58j9cL1JeZKQ4fbVixto3ayHKUrVBtsRALX3JT5b8dujHqxoR7E3DXUV\nLC0txU033YTFixejWbNmLvvuv/9+PPvss1oY7gapTVauXIkpU6agoKAAixbpgzVIfSKHy0skksaE\nVeN9Iu8wTuT9YLqPqKmpwfXXX48pU6bgmmuucdv/7bff4uabbwYAFBUV4ZNPPkF8fDwmTpxoWaZl\n411erk7UW1pa6pMIL2k4oeyuq/pwkpD8maA48MgRmxI7Y+XnnZHTDRk53bT17fM/c9nPGMNtt92G\nSy+9FPfff79pGUeOHNGWZ8yYgQkTJnhsuAEPjXdubi4AdQ7LYcOGuezbtGmTx0LDiR7nhObm4102\n6rr7orYq4SkZKrWYD76HfbWTrlQfdVmfuN2+GmWNo1rJyMlvMvWWtXfe2MUWQ4jaxwhsp2cXSBhT\ndd2K1zF2RtWIlXrLEBvIZd3MWNlGyEvvywmTvPbFX5335s2bsWrVKvTu3Rv9+vUDACxcuBA//fQT\nAL2trS9ea3Pvvfdi586dXrc1VqLVuBVOIm2Ah3wHQk847rm/Ou9hw4ahrq7O5/zLli3zKZ9l4/31\n119jy5YtOHPmDBYtWqQp0M+cOYOWLVv6XJHwIUgMXXlqVnWafMEhHFpIGcRJi4NDsF9C3YBJjWOi\nkPoC3RxjL6RUmIeSR3Ys5a6DpaKolwijW6LrhBqSoEOPkOzLTS9S050kNZMazZNsRx8SuYcavw0q\nR5S4CTEeSmRQ7aerYLCwvHvV1dUoLS1FbW0tSktLNUNl9+7dMXv27FDWURIg3OcwtAdqvazrFEmS\nbbROASaJoNgmI0aMwIgRIzB9+nQ4HI4QVilQ8H97is1N4VLIZdwomItjSCjVZlWz1nVH5ofq9Fpv\n63CwcXzqKU+j1pxcEidpuhiMPW7QucdDv+mlFsfoZUkCC1N9EaDcwTcM5+nbDjXdQL6x56Hff3pe\nFKWTpGpxkusa6JK2Q9hnNhjMP8Lx3UVcbJPU1FQsXboU69atw7lz5wDYYzIGiUQiCSURFxL2iSee\ngMPhwHfffYdnn30Wy5cvR9++fUNRN1ujS57kxuJ5AEy04xq7wh7I2CmSQBJxjffXX3+Nl19+GStX\nrsTEiRMxevRoDB8+3Od4I+GDDz+9ga+KEyxQYMQy/QjNRZBSzUWQuoEUcS+yRoYR9WnEvM9ab2bk\n9Pw6Gf/UrNUuuprEWN9gRBAMFBH758DtiqOnfggAKJjqAAAceplPf3f3eQAU7pe+AXIHFZ+/Ub3C\n8yTyE1SQAZNcBEktEw/Gbve7+qEmYnTeBAWhGjx4MN5++2107drVp6GbkuhC10X7NxFHKAfgiA29\nuFZhJPoAACAASURBVO5vY+vLFGOS6CXidN6PP/44SkpK8Mgjj2DBggVYs2YN/vSnP4Wibg2ENzLe\n/ixjAfzKl0ni/pmnBZSJYpqQBNEDjE0AYJxujFymGgvG6yU3Md8NUVaNnmwMQ8jnatKNB/ehdNRd\napCfl/8xB9hABkoxJrxoyDTENqFRQG7RC+k76q8NGIokIsZVkJgwQW2k0tLS8PbbbwNQo/6ZzSrf\nmFCU98NdhZDgbRJi6+NCpwMPlkrFl3KlXt1+BMu1NOLUJmb86U9/shyjbx+4JEBS9a/CbtJ5lxi2\nkTBBkvcxEhn4oBPDpMO65Ongqb26VIGHRjmRJGacQeW8YRnQbyTdo+DNeWpFoKdbi0YYn0BHUaYC\nAPqyHwEAj+I5AMCpLzLw3mU8eubX9O6L9h4y2PNQnCmG+PhuI+XtEwLBHyJObSKRSCSSCPQ2kUgC\niaK8DQBgbLqfx/smTXsyWgZDEo+kUaAS/4iYxjs5OdkyFCyFi7U3vAtfxtUnyXwz9dwqDSltq+Jp\nAZWxQ9hgDJ3qOhNGIEaN2RMyRGUI69QnNk50LEYIJLUJHVsQhPoFD7OJjiPFfbE+MKY+H2WFmqZN\nVXWJw7EReZtyAABnu3L3vx9JheghLo5l6JLQfCPB+vOMmMa7rKzMapekHlh94HaUzlR3PnHWk+Cd\ny8xtMNzxV6SeXGJFleVkt+EhitUmXGou5FNx0aBQsq+QUfIMgFq+rM3sRQs0mCDRbTCBohQIB9lj\nQoPAkyGsmzXu6cK+CiGPeIw/U9zFwZc4J67RDQODN7fGaFGZMNVuidhTHwEAZmcswfwY9XruyeEu\nsT9SbvFZcINmaQaQLPR2qQPPTiGSiRjJW2KN6ibo2U81krrUMhyr+fOKlkZZEhhk4x0y+ICAAr5K\nsYtb+HLscZ76Ik2TlJlhOfAgcj78VOiuj22EfaTjFnXfTrhHXTSbTYXKN6buiPfK9Y8lzlTVIh4T\naok4cp6vb9QVqJPjlmakoJxcQ9vSXvFZi7Hua4AaQQ/OaF8xIpmo8POWSCSSxobd/Lxjwl0BSeNF\nUZZAUZaEuxoSiU/UItann8jMmTORkZGBXr16mZZbUVGBadOmoV+/fhgxYgQ++OADn+pjr7+SAKLF\nHqEBgRQhkAzGdOWtobsNajYYcVYGkfPQ9THGrqCuNomsrrRx2qp+fJmPmNOtuDw1i+FChii6F6Ru\nIvUIjc6kY3vAV6NlQwJZ1S+KonveyHqGgSOxhxq3vwRpKCA12ue0V1Sb0DfC8yEeKOJ5isitUH/W\njN0byKqGFH913jNmzMC9996LqVOnmu5fvnw5mjVrhp07d+Lo0aMYOXIkJk6caOmqTURt4y2RSCSB\npKrav8BUw4cPR0FBgeX+5s2bo7S0FDU1NSguLkZSUpLXhhtoDI13BZcGD3Kpj+J6U8Sz9tAH5+gH\n8dQ8FgNj0w3RBK2nSItMrIyNApr7F6DfJ1FKF10HiRToPpsSu5GZegwAkI9snDzVTt24i/bSs7Ro\nOhQArICvtAdjPQCMCkY1Q06tMzjN5eTJk7F27Vq0atUKTqcTX3/9tU/HRX/jLZFEKKF2VVQuV9OL\nNwb9VBFJrdNcbVL71SbUbdrkd7l/+ctfEBcXh8LCQuzduxfjx4/H0aNHERPj2STZCBrvfDXZyWcH\nIZenLOjrpPPW7gZJjJO45OBOJM0AUj9MXL8AAOWu64wk9PMATgh5SQ9Kw6EpEp1xFhZx8I/ELpyq\nVt1Ef9neFniIb3Tm8QXxGZMkzu0eLBX6+wDoPrqRj1XjjSEjEDNkhL7+bP3CIW/cuBG33XYbkpKS\nkJ2djQsuuACHDh1C9+7dPR4nvU0kEonEB5w1sT796suVV16JtWvXoq6uDkeOHEFxcbHXhhtoFJK3\nRCKRNJy6Wv+ay8mTJ+PLL79EUVERMjMzMX/+fNTUqD2Y3Nxc3Hzzzfjuu++QlZWF1q1b46WXXvKp\n3KhvvBlT1SWKwiPP/3yRmhrtLnQX7DWAKmQw9ggACtcqGh0pPS2sG6c+I5WKODUW5REjz8XDZ8No\nIybsropFADTbWQFPxciR5BZKqrF4qLGAhga7dqHHSm3ihTVr1njc37x5c58bbCNR33hLJBJJQKi0\nV3Npr9oEFS4ZlHDJ+6xhF7dp4iuSKh1gzCROcdRTAffJlkmy4j0Xbb/RHZAG41i5/4mDnhrjvY0A\n+Cfyy6fcqv8NYO0Ka4znbjhYez+iUfIOdwVcaUSNt0QiAWS0RL+RjXe44BIkxSOmB5EA4DBFEVxr\nyD8rJLWyFxVw122Tu98JYbs6dF2dXZ6kMJK8rfTZxtctWuOfRzAU454G5BwE9C6q2HKJtg/diMTY\nnKBUL+zIxlsikUgiEPMB12FDNt6SiMNsqrSGBLCSSHyi1nuWUNKIGm8yqPAQpMdc96rRzhqjqsRI\nBcyi/ZEroRmMzTFMmCBGE0wR1o2xThyWk1dIgoulnpvxlDRlxwBgr5BJjFcjjriMYmx2iY2o8ZZE\nM4qiDkn29EcjiT5COmF0pfcsoaTRNN6yW+0df+8RHaerM8TBOi15WopAoE9ztkg4nyQgkI3yFGDt\nKqgrgBvNt2Wz16zRNN4SiUTSIGTjLZE0DDl1WmDRezBR6uIXKGTjLYlW3GdtF0djOg15AzEdFk2r\nFm0TYoSZAp6WANYTbdijJQvpICPpKiiRSCSBI2QjRqWroCTaET+gwBsWyV1NjK8h8Q8h1gxN1l0G\nuE+60Ig9euzR2dCQjbckYlCUvHBXQdKYka6CEklDoenUCrQtjDX2AVYBpIynDPA2GbcdCJneW0re\nEolEEoHIxlsiqT+K8j507xJveee7rMuwp5KAYLPGW05ALIkg0uHagDvA2CypMmkwwrR0lfyH81DV\nJhUAUsHY441nNKUZNT7+BGbOnImMjAz06tXLtNjVq1ejT58+6NOnD373u9/h0KFDPlVHNt4+oCjz\ntZ8vebzllUgkEUitjz+BGTNm4NNPP7UstkuXLti4cSN2796NMWPG4JlnnvGpOlJtIgk6gQnOfwL6\noB+Asds9nE+qSeqHw3WVDJY4BemGacBPb5Phw4ejoKDAcv+QIUO05fHjx+PJJ5/0qVzZeIcRM+lc\nNjwSiU0Jgc77tddew4QJE3zKG5bGe968eXjjjTfQunVrAMDChQsxduxYAMCf//xnLFmyBPHx8Xjt\ntdcwbNiwcFTRBV8aVNnoBpfADKeXmEODdHg89lKKv34adnYRDDlWt+KnPOBYXoOLX79+PVatWoUt\nW7b4lD8sjbeiKJgzZw7mzHHtTp8+fRovv/wy/vOf/+DHH3/E7NmzsWPHjnBUUSKRSFyxGh7fPkf9\nEV/X3961Z88e3Hnnnfj000+Rlpbm0zFhU5swxty25efn4+qrr0bHjh3RsWNHMMZQWlqKlJQUkxIk\njQHp9mcvGvXM80FSm/z000+4/vrrsXr1anTt2tXn48LWeC9ZsgR///vfcd111+Guu+5CSkoKtm7d\nih49emh5unXrhq1bt+LKK68MVzUlkkYATV9HvVxyGyyA6o55S8hrZEv8bLwnT56ML7/8EkVFRcjM\nzMT8+fNRU6PqYHJzc/H000+juLgYd955JwAgPj4eW7du9Vpu0Brvq666Cj///LPb9gULFmDWrFmY\nO3cuzp8/j4cffhhLly7FQw89ZCqNK4piWv68efO05ZycHOTk5ASq6hIbE9JpryQaZsZ1uz6LvLw8\n5OXlBb5gP9X/a9as8bj/jTfewBtvvFHvchVm1mKGkN27d+Ouu+7C5s2bsXbtWqxfvx4vvfQSAKBv\n37746quv3NQmiqKYNvSS6KZRd9mDiKK8wpeE6IJ82jrG7vU4bsHuzyIQ7YWiKMAUH8tYGZr2KSxq\nk8LCQrRr1w5OpxPvvPMOxo0bBwAYNGgQHn74Yfz00084cuQIYmJiPOq7o+1jjrbr8Qd5D+yHoiwI\ncHkR6iJrs+HxYWm8H330UezatQtNmjTB5Zdfjlmz1OHNGRkZmDVrFkaOHIkmTZpg6dKl4aiexKZE\nxAcekdDgJ3IRpGahBvognbjGPTQesJ3XZFga7xUrVljuu++++3DfffeFsDYSiUTiA3ImHYlEIjHH\n1mozm6lNwm6w9AdpsJRIgoc+bZ1KYGLT+HruwDfeATNYjvWxjE+i2GApkUgk3rCdK6LUeUskEjsT\nSkk7oqgKdwVckY23RCIJCrbWX/uDzXTesvGWSCS2xHYNvlSbSCQSSQQiXQUlEkmkonuikA5BF0ej\nfhCPVJtIJBKJObZTlRiRjbdEIokUFOWPfEkMWtUIkTpviUQSuVAj7q42EbG1FO0P0lUwOlEUiseb\nztN4bR9jvk0o2rDzv8+XEg0p1YEiMxrr1MNwDAXjr+D7ZtXjfOlw/6ABxob6WnWL8qPMzUwS+Ui1\niUQiiRzShfUKIY0HY4+EsD5hxGZqk5hwV0AikUgigloffyZs3LgRPXr0wEUXXYQlS5aY5tm2bRsG\nDhyIHj16+DQzmJS8/UBR3gZwEV/r4SEnz38RgMMAcIpvofQwTwu0vOLQZF09QROT8vOlcBVIB5+q\n7F6nOzzsM848RxqR9sK6t/IHAthOa/k8Paztl/Mi2hd9Zh3v73ajogFqk/vuuw9Lly5Fp06dMGbM\nGEyePBmtWrXS9jPGMHPmTCxevBijRo1CUVGR1zJl4x0oEm9X00v4ehpPC0J0/uGTXM+bDKApX27J\nU1J5n+FpP37MMb5eAt9f0CH8WIfhnGU8PeBjGZIIYBBPT2hbGBsbnqqEGz8b719++QUAcPnllwMA\nRo8ejfz8fIwfP17Ls337dvTu3RujRo0CAJeG3Yqob7xVKRlwNabd7uWYT/gSSbvU+on6v8CjKGsB\n9FNXMv0UqyMA5QK+UMnTc7Sn2D2zpN7Ux+CrT3OWKKRW+d/l5d7kb/UiEz913tu2bUP37t219Z49\ne+Kbb75xabzXrVsHRVEwfPhwpKWl4Z577sGYMWM8lhv1jXdQyJoOXMWXh6lJ4jC19clOVVUEbbhq\npJR7euxCPxR+2FnN/EaGmq4V/wzi4cYsLuGOonOrf0JtOv4EAEhDiUvahPsz1RoebS1iXYos5x9n\nCVqoabkqOpeXJqKuKkHNFKcq75q3Uq+rc5MCAEAyn5Q2AdUAgFjUIpb/MdK1HqjrCQA4+ynXtXyU\nraa7ePoz9EbbknvBWPD/LCVmcJWgkgNQm3OgN194Nwz1sQlB9DaprKzErl27sH79epSXl+Oqq67C\nvn37kJho/UcasY23ohyHpvAlAbkdfLoipTWAXw0bSL3gCFDlJAFBmQhgE185Vwxgh7aPsVFmhzQK\nvE0IHPXD1A0oyhLoPWIyzOh/+oz1Fg8JAnn8Z87AgQPx8MMPa+v79+/H1Vdf7ZJnyJAhqKqqQtu2\nbQEAWVlZ2Lhxo0fpO2Ibb58ZMl1NS/j6GauMBm7nOr0hfJ1LH4mXqlLoZalbcBm2AAAcXKmdhHIA\nqiQK6NJuCVcIZ+IY/jNRbXB+KOOK8QP8z+cwl8TbccmbT+HZ8uETmBCzFgDQFzu1cgAgA6cBAClc\nEhbPX4UmmiRcxlNaL0eSlgcAapP4a5Ck3wIqj8pvIoxQqEaCVoYmwfNrHRqj3ptj4zIBACfHqTqS\nk1DTs3UtUVWpHl9Wwn3QC7jE/xX/8DZD0gDq5xsvWqX5C38hgLZ803GelraERCSH/4j5LnubN28O\nQPU46dixIz7//HM89ZTr8xk8eDDmz5+P8vJyVFZWYufOnRg61PNYiehvvCUSiSTMvPjii8jNzUVN\nTQ1mz56NVq1aYenSpQCA3NxctGzZEjNmzEBWVhZat26Np59+GsnJyR7LlI23RBICVEO0GaoVjLFJ\nPpTxR6951HxW3Rb63OOF9chBd0AIhxuj/6N0RowYgQMHXN2wcnNzXdZnzZqFWbO8j24mIu/pcS5k\nv+BCrgPthT0AgAtQaNnNr+A6AVIZVHOVgROxLsY9AEjgx1JZZAxsibM8LUISH2FGeZ1cTULn0VQE\n0LuZpNLQfLOn8LSIf0yXqknyraqP55Ux65HFnaV7YS8AXU2TUa6qTRLO8jKMOnxAfbJqbw3n09Vr\nLYlV1Rqk3iC1iX5ILZpwQySpTWidoPtG97EEaZrxku4FpWTcJFUPqW1KY1JQkqTW4VSSqjL6oe2F\nAICzlbzrTp5pu3h6rga2G+IWNhKhqzpIv9vSsK++UPgGh5qQ+q4ddCOdzYaG69wLkOfitTwdFqxz\n2esmRGzjLZGECz2OTXshdQBIVRcpnIznnq9eZgwARkPOxcFcFe4HRDmusXMA/R6HE3sJDxHbeD+E\nF3ABTgIA2nDjXQZOaVJyynn1hY8TI4GJkoTxzzRO2EZDXSuF9VhDXi7d/pquRho4naBKkiXayBWV\naiRovYHkLFWyru2rSuttUtWPtCt+AAD0xHda2g3/BaBLr5nF6rUqJ3nBv/DUg+Sd+osqGaekcyNn\nuioRlxstlAKxFlJGLO9h0H7VVbBWWzamJJFX8zSRS/NOxGpSP92T2Jhavd5maecMsCMRPDikM5du\nyWuT3qVSAGdN8ptCA2ZSoTdm3Nid6brqFiusBKqLJmDwqRdowVPyviqCbuivsEnDpUxX0xy+fgMQ\nc7368mdnbAWgfz8qdwfw5Pb6E43YxlsikUhCi03+wDiy8ZZEDHrMDd/C1vp3jkVwH2lI+uQ2QTln\nY0WfUi0d+iALh2leeyB13gGhHElat7+Cf2SlSNG77s141z1O7bI34aoPLeaSUTVCKgdSj9B6lZCX\n0jjod64ZT5rXAQA6X1Conq81Py9XGSSjVFOBlCep9SajoFHtA+iG0QycQpsqdVuz02r5IHUJjSIX\n6040NdSf51F42uIXtfvXIllNndzFurxZE1TH6oZcQPfnJr/1cs3wS/c8WTdEWviRV2tpgpaSYZd8\n0E+f5P39fbzOZKj8kS5oPewDV4EovM4X8s0XQW97yChNISq4CsttEG0N9OdUxv8sihyuKaku6P1r\nCj2ejJgmC3lJVbILeuwZTW1SwFMez/1cvLC/BsZwBYzlQB/qG2y49w2pg7rxtC9Ps3g6kKFzRgEA\n3cFAHFEcOKTkLZGEHX2UYuS6zdkRtXdE99S9sWNslsHdL9KQkndAOIuWbtLgOaShBcX6iOVpEjdg\nJqn/yinlqviRQM/BaNC0MmaKBkwjouTLDYjtj6jSc/umajoU3/p2YUacsO4NUFppyAu4Gl1pX4KQ\nN9Y1byxfj3U6AS55i66VunSdLKynWI7gJOm8QiijBGk4xS1rx+q4aHWQV/IgXFNNOjwLID0EwZAS\n4e5+R+oSh5ooqS6rLmknvkwSI41QJMmYjIHG52TljicabZPVDDEJVYiLd30ZnTXqQ6z7lRuhf1Zc\njz0G/T3QDG/kj1nA0/PCfvV8wZtsoYchdaiLQuRjTeKmCMw8G7oyAEBLx0mtd0s9vFLN1SfQSMlb\nIvEb1U2PGhlv8yiaSUryla8vqm7a6p/Ft0iEeln53jPZFultEhBO4gIXSQ5QXdFo8Azpv8SUJHEt\nRQnSqlQlX7NirlcmKZfc8EhiFaVeI+I+UbJ3muyzkuiNKjvxCcUJeUTpjCS7BOiSFqXNXFPG0/Jm\nqptjaYIuRYsStyhFV2iDnRJQpcU5IZ22Z+n9HNK0wUvnznCRlPSxBF0H+U2jJYITHF1s+J0Af1cs\nVSqM67p/5CnFzS+AOrAF0F32WvOUJG/SfRv9wJMNy8Y8fD2mufpCtmitvrOJMRWaqyYNMKN7XlKs\nvkzVZfy+0TNPM9StgDe0Tuom0D2g66Trr0D9pc106EFyxBGddNE5PHWoSQuY92IAvQcj2g6a8qiW\nMbVaD5zev+BJ3lJtIpFIJBGIVJtIJBJJBCIl74BQjkQ9Vgin1hCnRI/BQRMPqP3WIt5dJ/VKEsqR\nkqB2ExPbuYZB1UZrVqnrmlrlF+iqFTEVVSzG0ZniPk+GUMB1JKf4pEgVQuqFZiapFzVJdYJaiNHl\nslxQdVCXlO4ruRA6te3ubllOYRs9iyqDyyB1cbXJHwhSHZD7XSk3HhaNgG4NJEMbubGJM5pTWgP3\nD86b9GTcf17YJpbPz1/Ku+mlLYHDXCVBKuBWQko2UKN6hZZp0CTdg6Zq3VNaqO9fcgyF/3VXm9B7\nXpXM73Eyr1MLbrjsDP09IxXOYe7P+D1PneLw/GK42xdEXTeptVIM67RN2CWqktoaUvE+UZom5G2l\n1iM5Tb0XxhG+tR7eycAgJW+JRCKJQKTkHRDSUKLFzjBGwDPG3PCEbuRogliLGB+aFM8l1AoumSem\nl6PZeS6Fk6FNdOUzk7J9lbiNkBDR1GKdpGvRKNkUYHxbNc9blcClMmEgjlFS0eOSmFll9ZgmdO/L\nUeHWU6FBUyRdk1RodCnUekId1TgUZzuqImnRRDU9W66KXmU/c1H1eDxQyP3FTvGUBqBQWiSkJdAH\nuGgxOsQrEqVpI6LBTfCooFXjQBmrwTNWkmVbGKRKXmxb1YCelsp7fhYTbgBArSB1JjVRr6O6FX8W\nTh6wpKnhPOSO53a/+AWVONS0zOE++EtzW4RervE6jQZYM+OsMa/xmDTV9S+mmXqNSSm8Z5zEvzl+\n7WI0z0RUaPfFKhJm4JCSt0QikUQg0lUwIHTDIU0KjBOi2RmX9dQ6rzjYh9arBcmRjm2SUI3Y1lwC\nbV3tUp4o8Ruj88X5JGr7hqhXJjxNPGy1blaWKIHTdZBUU2twyRTL1SX6OJfzGPN5y+NM4s+gCx+e\n3yXWRWcOwG3dbFCQ6E5K6TmeltXx3gCfjq26JAWo5Hpiq0mS3dwzdanRm8RI0qFxO93jJtqkzp67\n57WIM9gRXN0ztfVUvs7T6osT9GnvPDwXI64RI82/H/f3xD3KpHGft2Pc74XVdr0HSHkoQqXrd3aL\n6bX5h5S8JRKJJAKxl847JtwV+P/t3X9ME+cfB/D3AQOdOiNBmd/xQ2kcYJG2A1qSOSkuASKbmMwM\n3MaSoZEsks2ZReZfuP3j2KIyzTRskYRkMZmJWeLcSPWfAzVbW0fVBTVTRKZOXcd32gJW4Mvn+wfh\ntKWlKPSeXvJ5JffHHc/dffjkeHjuubvnYYwxbRie4jJRR0cHsrOzsWzZMuzfvz9omR07diAjIwN5\neXm4fPly0DKP02zL+z/4a9KHkoG3nqG6LB6/ZRv36HW4sdvwoYDpwoLtAwCdshcF1uAPP8PdCkfK\nb3I/8qxjT4oCp3sLFOz2OdQt9VReERwXeLvskj3ItY6P/D/eDRN838ePGXi7HxhLsK6YCd0xgWVi\nxtavXPgLGdZUjCTGhj1PKMGuicm60YDg1+X4Pt3yTeisKcr2yc4/lW60JxXsmo3D/3BNvoEMa6pf\nrI/2ebzrcvLfNVg358QYJs/f+HEvym4stS6c9FjT9/R/wx9++CGam5uRnp6O0tJSbNiwAUlJScrP\nHQ4HTp06hbNnz8Jms+Hjjz/G8ePHJz0mt7xnkEv2hi+kst/kwCl2xPtdDjWVizjX5JuiQ5igW74V\nvpAA0ZirS7JbhbM8Xcv7/v2xcTZWrVqF9PR0lJSUwG73H+PFbrdj/fr1SExMxIYNGyZMVhyMZlve\n8zBzFWW4FtZUXzzy4b9+Ew5HgwEM4G/l64joNbWWV6ReAQNc+FuZ5DlauOAOmNIrOlyIwlzNgk95\nVTVynq7l7XQ6kZWVpawvX74cv/76K8rLy5VtDocD1dXVyvrChQvR3d0NnU6HUDRbeTPGmLpCvSrY\ng+kOmkZEICK/bZIkhSj9aCfNMRgMBIAXXnjhJexSVFQ07TrnSc63YMECv33v3btHRqNRWa+rq6Pj\nx4/7ldm3bx/t2bNHWc/IyAgbkyZb3ufOnQtfiDHGZggFtIqfxPz5Y5+adnR0IC0tDSdPnkRDQ4Nf\nGYvFgm3btuHdd9+FzWZDdnZ2sEP50WTlzRhjWtLU1ITa2loMDw/jgw8+QFJSEpqbmwEAtbW1MJvN\nWLlyJfLz85GYmIjvvvsu7DElms6/FMYYY0Jo7lXBqbzsroYlS5YgNzcXJpMJZrMZAOD1elFRUYG0\ntDSsW7cO/f2B08PMrJqaGiQnJ2PFihXKtsli2LdvH5YtW4bly5fj9OnTqsW0c+dOpKSkwGQywWQy\noa2tTdWYbty4geLiYuj1elitVhw+fBiA+FyFiktkvnw+HywWC4xGIwoLC7F3714AYnMVKibR15Vw\n0+nEF8FoNFJ7eztdv36dMjMzye12C4ljyZIl1NfX57etsbGR6urqyOfz0ZYtW+jLL7+MaAwdHR3U\n2dlJOTk5YWO4e/cuZWZmUm9vL8myTCaTSbWYdu7cSbt3755QVq2Ybt++TS6Xi4iI3G43LV26lDwe\nj/BchYpLdL4GBgaIiMjn85Fer6c//vhDeK6CxSQ6T6JpquU9lZfd1UQBPU4OhwMbN25EQkICampq\nIh7bK6+8ggULFvhtCxWD3W5HWVkZ0tLSUFRUBCKC1zvzHxUFiwkI/sBHrZief/55GI1GAEBSUhL0\nej2cTqfwXIWKCxCbr2efHftKuL+/HyMjI0hISBCeq2AxAWLzJJqmKu9QL7uLIEkSVq9ejXXr1uHY\nsWMT4svKyoLD4VA9rlAx2O12vyfYmZmZqsa3f/9+FBYWorGxUflDcjgcqsd09epVdHV1wWw2R1Wu\nxuOyWCwAxOZrdHQUBoMBycnJqKurQ1pamvBcBYsJiJ7rSgRNVd7R5MyZMzh//jx27dqFbdu24c6d\nO9N6nWimPEkMYT8CmCHvv/8+enp6YLPZ0N3drTxlDxZrJGPyer2orKzE3r17MXfu3KjJ1eNxzZkz\nR3i+YmJicP78eVy9ehUHDhyAy+USnqtgMYnOk2iaqrwLCgr8Rtvq6upCYWGhkFgWLx6beDA7Oxtr\n167Fjz/+iIKCAmVMgkuXLqGgoED1uELFYLFYcPHio0+tL1++rFp8ixYtgiRJmD9/PrZs2YIfEZ0p\nawAABOBJREFUfvhB9ZiGh4fxxhtvoLq6GhUVFQCiI1fB4oqGfAFjD+XXrFkDu90eFbkKjCla8iSK\npirvx192v379Ok6ePKncZqppcHBQuUVzu92w2WwoKyuDxWJBS0sLHjx4gJaWFiH/WELFYDabYbPZ\n8Oeff0KWZcTExGDevHlhjjYzbt++DQAYGRnB4cOHsWbNGlVjIiJs3LgROTk52Lp1q7JddK5CxSUy\nX//88w/u3RsbI6Svrw8nTpxARUWF0FyFikn0dSWcyg9Ip02WZcrKyiKdTkdfffWVkBiuXbtGBoOB\nDAYDrV69mg4dOkRERB6Ph9auXUupqalUUVFBXq83onFUVVXR4sWLKT4+nlJSUqilpWXSGJqamkin\n01F2djZ1dHRENKZnnnmGUlJS6NChQ1RdXU0rVqygvLw8+uijj/ze0lEjplOnTpEkSWQwGMhoNJLR\naKS2tjbhuQoW188//yw0XxcuXCCTyUS5ublUUlJCra2tRDT5tS0qJtHXlWj8kQ5jjGmQprpNGGOM\njeHKmzHGNIgrb8YY0yCuvBljTIO48maMMQ3iypsxxjSIK2+mmrlz50b0+OXl5fB4PLh//z4OHjz4\nxPvLsozXX389ApExNvO48maqifT4Ej/99BOee+45/Pvvvzhw4EBEz8WYaFx5M6GuXLmCmpoaGI1G\nNDQ0KMMOWK1WfPrpp8jPz0dRURFcLhcA4OHDh/jss8+g1+tRVVWFl19+GZ2dnQDGxr3o6+vDJ598\ngu7ubphMJmzfvh3t7e1+Leq6ujq0trYCGBuF8dVXX4XJZILNZlPKPHjwAHv27EFRURHKy8shy7JK\nGWFsarjyZkLV19ejtLQUZ8+ehdvtVubukyQJvb29sNvt2Lx5szJr0rFjx9DV1QWXy4Xa2lr88ssv\nyrEkSYIkSWhsbIROp4PL5cIXX3wxYZS58XIAsGnTJuzatQunT5/GuXPnlO3ff/894uLi0N7ejpaW\nFtTX16uRDsamjCtvJszQ0BCcTifefPNNxMXF4b333lPGRgeAt99+G7GxsSguLlYqaZvNhqqqKsTH\nx6O4uBjp6ekTjjvVER9u3rwJIoLZbMacOXNQWVmp7Hv06FF8++23MJlMKCsrw927d9HT0zMDvzVj\nM4Nnj2fCEREkSZpQ6Y7PyBMfHw+fzwfg6frNZ8+ejYcPHyrrfX19YY81OjqKr7/+GqtWrXri8zGm\nBm55M2Hi4+NhNptx9OhRjIyMoLW1VRnTOpTS0lIcOXIEQ0NDaG9vR29v74QyycnJ8Hg8yrrBYMDF\nixfR39+PW7du4cSJEwCAF154AbGxsXA6nRgYGMCRI0eUfd566y00NzcrffDjfe6MRQuuvJlqBgcH\nkZqaqixNTU34/PPP0dbWhvz8fCQlJeGdd94Juu94K/m1115DZmYmjEYjDh48CL1eP6HrZPbs2ais\nrMRLL72E+vp6zJo1C9u3b0dhYSFqampQUlKilP3mm2+wY8cOrFy5EgaDQTnP+vXrYTabUVpaipyc\nHDQ0NEQoK4w9HR4SlmnK6OgohoeHkZCQAKfTia1bt+LMmTOiw2JMddznzTRlcHAQxcXF8Pl8ePHF\nF7F7927RITEmBLe8GWNMg7jPmzHGNIgrb8YY0yCuvBljTIO48maMMQ3iypsxxjSIK2/GGNOg/wNA\nXGJMY2BW2QAAAABJRU5ErkJggg==\n", "text": [ "" ] } ], "prompt_number": 6 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note that at 2\u00ba resolution we can see many smaller features (e.g. Pacific islands). The model is given a fractional land cover for each grid point. Here let's plot the land-sea mask itself so we can see where there is at least \"some\" water:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "ocean_mask = ma.MaskedArray( topo.variables['LANDFRAC'][:], topo.variables['LANDFRAC'][:] == 1. )\n", "fig2 = figure()\n", "ax2 = fig2.add_subplot(1, 1, 1)\n", "cax2 = ax2.pcolormesh( lon, lat, ocean_mask )\n", "ax2.set_title('Ocean mask in CESM')\n", "ax2.axis([0, 360, -90, 90])\n", "ax2.set_xlabel('Longitude'); ax2.set_ylabel('Latitude')\n", "cbar2 = colorbar(cax2);" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAW8AAAEZCAYAAABYR6TIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nLeav6ONHNwAAAABJRU5ErkJggg==\n", "text": [ "" ] } ], "prompt_number": 7 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Ocean boundary conditions" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's look at another immportant input file containing information about the slab ocean. You can see this file in the data catalog here: http://ramadda.atmos.albany.edu:8080/repository/entry/show/Top/Users/Brian+Rose/CESM+runs/som_input/pop_frc.1x1d.090130.nc?entryid=1c86bd86-871e-45c0-9cb4-80d1c8648d40\n", "\n", "Getting the correct hyperlink to read the data from the server is a bit tricky (we'll work on simplifying that later). Here's what you have to do:\n", "\n", "- click on the little down-arrow button in the upper left corner of the window\n", "\n", "- under File, select \"all services\"\n", "\n", "- now you see, under Links, at the end of the list, a button for OPeNDAP. Click on that.\n", "\n", "- You will now see a bunch of information about the data file on the screen. \n", "\n", "Just copy the URL from your web browser address bar. Hopefully it will be the following:\n", "http://ramadda.atmos.albany.edu:8080/repository/opendap/1c86bd86-871e-45c0-9cb4-80d1c8648d40/entry.das.\n", "\n", "We will use this URL to access the data over the internet:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "som_input = nc.Dataset( \"http://ramadda.atmos.albany.edu:8080/repository/opendap/1c86bd86-871e-45c0-9cb4-80d1c8648d40/entry.das\" )\n", "for v in som_input.variables: print v" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "area\n", "mask\n", "yc\n", "xc\n", "time\n", "S\n", "T\n", "U\n", "V\n", "dhdx\n", "dhdy\n", "hblt\n", "qdp\n" ] } ], "prompt_number": 9 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The ocean / sea ice models exist on different grids than the atmosphere (1\u00ba instead of 2\u00ba resolution). Let's store the new coordinate information just like we did for the atmosphere grid." ] }, { "cell_type": "code", "collapsed": false, "input": [ "lon_som = som_input.variables['xc'][:]\n", "lat_som = som_input.variables['yc'][:]\n", "print lon_som.shape, lat_som.shape" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "(360,) (180,)\n" ] } ], "prompt_number": 10 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we are going to look at the annual mean heat flux out of the ocean, which is the prescribed 'q-flux' that we give to the slab ocean model.\n", "It is stored in the field 'qdp' in the input file. The sign convention in CESM is that qdp > 0 where heat is going IN to the ocean. We will change the sign to plot heat going OUT of the ocean INTO the atmosphere (a more atmosphere-centric viewpoint). First, let's just look at the size of the data array:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "shape(som_input.variables['qdp'][:])" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 21, "text": [ "(12, 180, 360)" ] } ], "prompt_number": 21 }, { "cell_type": "markdown", "metadata": {}, "source": [ "This means that there are 12 x 180 x 360 data points. One 180 x 360 grid for each calendar month!" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we are going to take the average over the year at each point. We will use a very convenient array function np.mean(), which just computes the mean point-by-point. This leaves us with a single grid on 180 latitude points by 360 longitude points:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "qdp_an = np.mean( som_input.variables['qdp'][:], axis=0 )\n", "print qdp_an.shape" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "(180, 360)\n" ] } ], "prompt_number": 24 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now make a nice plot of the annual mean q-flux. This code also overlays a contour of the land-sea mask for reference. " ] }, { "cell_type": "code", "collapsed": false, "input": [ "fig3 = figure()\n", "ax3 = fig3.add_subplot(111)\n", "cax3 = ax3.pcolormesh( lon_som, lat_som, -qdp_an, cmap=plt.cm.seismic, vmin=-700., vmax=700. )\n", "cbar3 = colorbar(cax3)\n", "plt.title( 'CESM: Prescribed heat flux out of ocean (W m$^{-2}$), annual mean' )\n", "plt.axis([0, 360, -90, 90])\n", "plt.xlabel('Longitude')\n", "plt.ylabel('Latitude')\n", "plt.contour( lon, lat, topo.variables['LANDFRAC'], [0.5,0.5], colors='k');\n", "ax3.text(65, 50, 'Annual', fontsize=12 );" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAYwAAAEdCAYAAAAfA1CsAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngikMBoPBYGiCKQwGg8FgaOL/Ae+TTchKQu27AAAAAElFTkSuQmCC\n", "text": [ "" ] } ], "prompt_number": 29 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Notice all the spatial structure here: lots of heat is going in to the oceans at the equator, particularly in the eastern Pacific Ocean. The red hot spots show where lots of heat is coming out of the ocean -- particularly in the mid-latitudes off the eastern coasts of Asia and North America, as well as in the northern North Atlantic. All this structure is determined by ocean circulation, which we are not modeling here. Instead, we are prescribing these heat flux patterns as an input to the atmosphere." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This pattern changes throughout the year. Recall that we just averaged over all months to make this plot. We might want to look at just one month:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "qdp_jan = som_input.variables['qdp'][1,:,:]\n", "qdp_jan.shape" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 30, "text": [ "(180, 360)" ] } ], "prompt_number": 30 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here we got just the first month (January) by specifying [1,:,:] after the variable name. This is called slicing or indexing an array. We are saying \"give me everything for month number 1\". Now make the plot:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "fig4 = figure(); ax4 = fig4.add_subplot(111)\n", "cax4 = ax4.pcolormesh( lon_som, lat_som, -qdp_jan, cmap=plt.cm.seismic, vmin=-700., vmax=700. )\n", "cbar4 = colorbar(cax3)\n", "plt.title( 'CESM: Prescribed heat flux out of ocean (W m$^{-2}$)' )\n", "plt.axis([0, 360, -90, 90])\n", "plt.xlabel('Longitude')\n", "plt.ylabel('Latitude')\n", "plt.contour( lon, lat, topo.variables['LANDFRAC'], [0.5,0.5], colors='k');\n", "ax3.text(65, 50, 'January', fontsize=12 );" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEdCAYAAAACUaxyAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nuMehEb0GDRo03OP4/6mwxzXMa5ZsAAAAAElFTkSuQmCC\n", "text": [ "" ] } ], "prompt_number": 31 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now try to plot a different month by indexing the array differently. Take a look at how the pattern of heat flux in and out of the oceans changes throughout the year." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "The control run" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Output from the control run is available on the same data server as above. Look in the folder called som_control.\n", "\n", "There are climatology files for the atmosphere, sea ice, and land surface. I created these files by averaging over the last 10 years of the simulation. Let's take a look at the atmosphere file. You can look up the necessary URL by following the procedure outlined above. The file is called\n", "\n", "som_control.cam.h0.clim.nc\n", "\n", "(the file extension .nc is used to indicate NetCDF format).\n", "\n", "Or just copy the following:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "atm_control = nc.Dataset( \"http://ramadda.atmos.albany.edu:8080/repository/opendap/f7a4ac85-623d-4996-be2c-555907cf99b8/entry.das\" )" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 33 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we would like to see what's in this file, same as before:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "for v in atm_control.variables: print v" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "lev\n", "hyam\n", "hybm\n", "ilev\n", "hyai\n", "hybi\n", "P0\n", "time\n", "date\n", "datesec\n", "lat\n", "lon\n", "slat\n", "slon\n", "w_stag\n", "time_bnds\n", "date_written\n", "time_written\n", "ntrm\n", "ntrn\n", "ntrk\n", "ndbase\n", "nsbase\n", "nbdate\n", "nbsec\n", "mdt\n", "nlon\n", "wnummax\n", "gw\n", "ndcur\n", "nscur\n", "co2vmr\n", "ch4vmr\n", "n2ovmr\n", "f11vmr\n", "f12vmr\n", "sol_tsi\n", "nsteph\n", "AEROD_v\n", "CLDHGH\n", "CLDICE\n", "CLDLIQ\n", "CLDLOW\n", "CLDMED\n", "CLDTOT\n", "CLOUD\n", "CONCLD\n", "DCQ\n", "DTCOND\n", "DTV\n", "EMIS\n", "FICE\n", "FLDS\n", "FLDSC\n", "FLNS\n", "FLNSC\n", "FLNT\n", "FLNTC\n", "FLUT\n", "FLUTC\n", "FSDS\n", "FSDSC\n", "FSDTOA\n", "FSNS\n", "FSNSC\n", "FSNT\n", "FSNTC\n", "FSNTOA\n", "FSNTOAC\n", "FSUTOA\n", "ICEFRAC\n", "ICIMR\n", "ICWMR\n", "LANDFRAC\n", "LHFLX\n", "LWCF\n", "OCNFRAC\n", "OMEGA\n", "OMEGAT\n", "PBLH\n", "PHIS\n", "PRECC\n", "PRECL\n", "PRECSC\n", "PRECSL\n", "PS\n", "PSL\n", "Q\n", "QFLX\n", "QREFHT\n", "QRL\n", "QRS\n", "RELHUM\n", "SFCLDICE\n", "SFCLDLIQ\n", "SHFLX\n", "SNOWHICE\n", "SNOWHLND\n", "SOLIN\n", "SWCF\n", "T\n", "TAUX\n", "TAUY\n", "TGCLDCWP\n", "TGCLDIWP\n", "TGCLDLWP\n", "TMQ\n", "TREFHT\n", "TS\n", "TSMN\n", "TSMX\n", "U\n", "U10\n", "UU\n", "V\n", "VD01\n", "VQ\n", "VT\n", "VU\n", "VV\n", "Z3\n" ] } ], "prompt_number": 34 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Lots of different stuff! These are all the different quantities that are calculated as part of the model simulation. Every quantity represents a long-term average for a particular month. Want to get more information about a particular variable?" ] }, { "cell_type": "code", "collapsed": false, "input": [ "print atm_control.variables['SOLIN']" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "\n", "float32 SOLIN(time, lat, lon)\n", " Sampling_Sequence: rad_lwsw\n", " units: W/m2\n", " long_name: Solar insolation\n", " cell_methods: time: mean\n", "unlimited dimensions: time\n", "current shape = (12, 96, 144)\n", "\n" ] } ], "prompt_number": 35 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Apparently this is the incoming solar radiation, with shape (12,96,144) meaning it's got 12 months, 96 latitude points and 144 longitude points. Following the example above from the ocean data, try to make a plot of incoming solar radiation for (1) the annual mean, and (2) one particular month." ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Your task, for now...." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Is just to play with the data in this file. Try to figure out what some of the different fields are. Get familiar with the data and with making plots.\n", "\n", "Some fields you might want to look at:\n", "\n", "- surface temperature, 'TS'\n", "\n", "- Outgoing longwave radiation, 'FLNT'\n", "\n", "- Net absorbed shortwave, 'FSNT'\n", "\n", "These are all 12 x 96 x 144 -- i.e. a two-dimensional grid for every calendar month.\n", "\n", "Many other fields are three-dimensional. For example, here is the shape of the array that hold the air temperature at every point and every month:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "shape( atm_control.variables['T'] )" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 44, "text": [ "(12, 26, 96, 144)" ] } ], "prompt_number": 44 }, { "cell_type": "markdown", "metadata": {}, "source": [ "And here is some code to plot the average sounding (temperature as function of pressure) at a particular point in the month of January." ] }, { "cell_type": "code", "collapsed": false, "input": [ "plot( atm_control.variables['T'][1,:,70,115], atm_control.variables['lev'] )\n", "gca().invert_yaxis()\n", "ylabel('Pressure (hPa)')\n", "xlabel('Temperature (K)')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 70, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAZAAAAEPCAYAAABsj5JaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nhthBqEEAAAAASUVORK5CYII=\n", "text": [ "" ] } ], "prompt_number": 70 }, { "cell_type": "markdown", "metadata": {}, "source": [ "What was the location we just used for that plot? Let's check by indexing the latitude and longitude arrays we previously stored:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "lat[70], lon[115]" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 71, "text": [ "(42.631578947368418, 287.5)" ] } ], "prompt_number": 71 }, { "cell_type": "markdown", "metadata": {}, "source": [ "These are actually the coordinates of the Albany area (read longitude in degrees east)." ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "So go ahead and mess around with the model output and see what you can do with it. And have fun." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "When we are done it's a good idea to close the data files:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "atm_control.close()\n", "som_input.close()\n", "topo.close()" ], "language": "python", "metadata": {}, "outputs": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Thanks for playing!" ] } ], "metadata": {} } ] }