{ "cells": [ { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import netCDF4 as nc\n", "import matplotlib.pyplot as plt\n", "import os\n", "import glob\n", "import numpy as np\n", "\n", "from salishsea_tools import viz_tools\n", "\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def get_files(run, base_dir, grid_dir, grid_type):\n", " \n", " fname = glob.glob(os.path.join(bas_dir, run,'*{}.nc'.format(grid_type)))[0]\n", " f = nc.Dataset(fname)\n", " \n", " mesh_mask = nc.Dataset(os.path.join(grid_dir,'mesh_mask.nc'))\n", " \n", " return f, mesh_mask" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "collapsed": false }, "outputs": [], "source": [ "b = 'base_aug'\n", "sufs = ['', '_noHoll', '_enst', '_eng']\n", "runs = ['{}{}'.format(b, suf) for suf in sufs]\n", "bas_dir = '/data/nsoontie/MEOPAR/SalishSea/results/2Ddomain/3.6/mixing_paper/'\n", "grid_dir = '/data/nsoontie/MEOPAR/2Ddomain/grid/'" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "collapsed": false }, "outputs": [], "source": [ "fUs = {}\n", "fWs = {}\n", "fVs={}\n", "meshs = {}\n", "\n", "for run in runs:\n", " fUs[run], meshs[run] = get_files(run, bas_dir, grid_dir, 'grid_U')\n", " fWs[run], meshs[run] = get_files(run, bas_dir, grid_dir, 'grid_W')\n", " fVs[run], meshs[run] = get_files(run, bas_dir, grid_dir, 'grid_V')" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "collapsed": false }, "outputs": [], "source": [ "def calculate_average_KE(u, v, mesh_mask,):\n", " tmask = mesh_mask.variables['tmask'][...,1:,1:]\n", " e3t = mesh_mask.variables['e3t_0'][...,1:,1:]\n", " e1t = mesh_mask.variables['e1t'][...,1:,1:]\n", " e2t = mesh_mask.variables['e2t'][...,1:,1:]\n", " print(e2t.shape,tmask.shape)\n", " \n", " umask = mesh_mask.variables['umask'][:] + np.zeros(u.shape)\n", " vmask = mesh_mask.variables['vmask'][:] + np.zeros(v.shape)\n", " \n", " um = np.ma.array(u,mask=1-umask)\n", " vm = np.ma.array(v,mask=1-vmask)\n", " \n", " us, vs = viz_tools.unstagger(um,vm)\n", " \n", " KE = us**2 + vs**2\n", " volume = np.sum(tmask*e3t*e2t*e1t)\n", " print(run, volume)\n", " KE_vol = KE*e3t*e2t*e1t*tmask\n", " KEavg =np.sum(np.sum(np.sum(KE_vol, axis=-1),axis=-1),axis=-1)/volume\n", " \n", " return KEavg" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(1, 9, 1099) (1, 40, 9, 1099)\n", "base_aug 396128361845.0\n", "(1, 9, 1099) (1, 40, 9, 1099)\n", "base_aug_noHoll 396128361845.0\n", "(1, 9, 1099) (1, 40, 9, 1099)\n", "base_aug_enst 396128361845.0\n", "(1, 9, 1099) (1, 40, 9, 1099)\n", "base_aug_eng 396128361845.0\n" ] } ], "source": [ "KE_avgs = {}\n", "KEs = {}\n", "\n", "for run in runs:\n", " v = fVs[run].variables['vomecrty'][:]\n", " u = fUs[run].variables['vozocrtx'][:]\n", " KE_avgs[run] = calculate_average_KE(u,v, meshs[run])" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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Wq25+8glezZtzrVcvHIzgHjF3/oiO5u3ffuPfQYPAyNPSp7/+mv7W1kwdM8ao/T6ImHv8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\nMj9uPi8sfYGry11Nu6B2hNYJpVWdVlQPqO71cY4nHSf2UCz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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "for run in runs:\n", " plt.plot(KE_avgs[run][:] ,label=run)\n", "plt.legend(loc=0)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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cLtevg7V1xrm6Q4fS9vx5tlXwaaPwhARSDAbcTFhQTkpNYs3JNYxpPSZb26pV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\nZ3u5JoSDB52ZNJ9/Hnr1Kn7/nBzo1l05cdsNPBA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GZQnBGGMMYAnBGGOMyxKCMcYYwBKC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\ngg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "for run in runs:\n", " plt.plot(KE_avgs[run][:] ,label=run)\n", "plt.legend(loc=0)" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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eqVKlpGbMgpysLF5MSmJ2tWo4GzG9MLcgl94/9SY1JxUvey+8qirHmcNe/LzO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\n776DEiVSfD2vdO8YY3yAvUBN4BiwHnhRRHYn2Kce0E1EGhh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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "for run in runs:\n", " plt.plot(KE_avgs[run][:] ,label=run)\n", "plt.legend(loc=0)" ] }, { "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": "3.5.1" } }, "nbformat": 4, "nbformat_minor": 0 }