{ "metadata": { "name": "" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "Compare harmonics from currents between measured and modelled. Measured harmonics are taken from Table 3 of Foreman et al (1995)\n" ] }, { "cell_type": "code", "collapsed": false, "input": [ "#Preamble\n", "%matplotlib inline\n", "from salishsea_tools import tidetools" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "code", "collapsed": false, "input": [ "#Load in text file containing measured current constituents taken from Table 3 of Foreman et al (1995). \n", "#latitude and longitude taken from http://www.charts.gc.ca/copyright-droitdauteur/documents/currents-courants-eng.asp\n", "import pandas\n", "import numpy as np\n", "from math import radians, cos, sin\n", "\n", "measured = pandas.read_csv('/ocean/klesouef/meopar/tools/compare_tides/obs_tidal_current_const_Foreman95.csv'\\\n", " ,delimiter=';')#,index_col='Site')\n", "\n", "#convert M2 velocity to U and V component, and from cm/s to m/s\n", "M2_amp_U = measured.M2amp*np.cos(np.radians(measured.M2dir))/100\n", "M2_amp_V = measured.M2amp*np.sin(np.radians(measured.M2dir))/100" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "#find the model co-ordinates of each of the measured locations\n", "model_x1 = []\n", "model_y1 = []\n", "\n", "for i in np.arange(0,len(measured.Lon)):\n", " x1, y1 = tidetools.find_closest_model_point(-measured.Lon[i],measured.Lat[i])\n", " model_x1.append(x1)\n", " model_y1.append(y1)\n" ], "language": "python", "metadata": {}, "outputs": [ { "ename": "TypeError", "evalue": "find_closest_model_point() takes exactly 5 arguments (2 given)", "output_type": "pyerr", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0marange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmeasured\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mLon\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m \u001b[0mx1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my1\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtidetools\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfind_closest_model_point\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m-\u001b[0m\u001b[0mmeasured\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mLon\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mmeasured\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mLat\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 7\u001b[0m \u001b[0mmodel_x1\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 8\u001b[0m \u001b[0mmodel_y1\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mTypeError\u001b[0m: find_closest_model_point() takes exactly 5 arguments (2 given)" ] } ], "prompt_number": 3 }, { "cell_type": "code", "collapsed": false, "input": [ "#Get modelled current harmonics\n", "import netCDF4 as NC\n", "harmU = NC.Dataset('/ocean/klesouef/meopar/tools/NetCDF_Plot/WC3_Harmonics_gridU_TIDE2D.nc','r')\n", "harmV = NC.Dataset('/ocean/klesouef/meopar/tools/NetCDF_Plot/WC3_Harmonics_gridV_TIDE2D.nc','r')\n", "X_U = harmU.variables['nav_lon']\n", "Y_U = harmU.variables['nav_lat']\n", "\n", "#Get amplitude and phase\n", "mod_U_M2_amp = harmU.variables['M2_amp'][0,:,:]\n", "mod_U_M2_pha = harmU.variables['M2_pha'][0,:,:]\n", "mod_V_M2_amp = harmV.variables['M2_amp'][0,:,:]\n", "mod_V_M2_pha = harmV.variables['M2_pha'][0,:,:]\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 4 }, { "cell_type": "code", "collapsed": false, "input": [ "#print a text file showing the modelled and measured components (similar to Table 3 of Foreman et al 1995)\n", "import csv\n", "loc = \"/ocean/klesouef/meopar/tools/compare_tides\"\n", "with open('current_harm_comps.csv', 'wb') as csvfile:\n", " writer = csv.writer(csvfile, delimiter=',')\n", " writer.writerow(['Station Number','Station Name','Longitude','Latitude','Model U M2 Amp','Model U M2 Phase',\\\n", " 'Model V M2 Amp','Model V M2 Phase','Measured U M2 Amp','Measured U M2 Phase',\\\n", " 'Measured V M2 Amp','Measured V M2 Phase'])\n", " for t in np.arange(0,len(measured.Lat)):\n", " a = model_x1[t]\n", " b = model_y1[t]\n", " print(a,b)\n", " writer.writerow([str(t+1),measured.Site[t],-measured.Lon[t],measured.Lat[t],mod_U_M2_amp[a,b],mod_U_M2_pha[a,b],\\\n", " mod_V_M2_amp[a,b],mod_V_M2_pha[a,b],M2_amp_U[t],'??',M2_amp_V[t],'??'])\n", "\n", "print('Results saved here: '+loc+'/current_harm_diffs.csv')" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "(76, 150)\n", "(89, 159)\n", "(181, 262)\n", "(230, 240)\n", "(261, 235)\n", "(266, 222)\n", "Results saved here: /ocean/klesouef/meopar/tools/compare_tides/current_harm_diffs.csv\n" ] } ], "prompt_number": 5 }, { "cell_type": "code", "collapsed": false, "input": [ "# get the bathy to check if this grid point is on land ('masked')\n", "grid = NC.Dataset('/ocean/klesouef/meopar/nemo-forcing/grid/SubDom_bathy_meter_NOBCchancomp.nc','r')\n", "bathy = grid.variables['Bathymetry'][:,:]\n", "\n", "# define a function to plot the measured and model locations\n", "def plot_mod_meas_on_bathy(t):\n", " modlon = X_U[model_x1[t],model_y1[t]]\n", " modlat = Y_U[model_x1[t],model_y1[t]]\n", " measlon = -measured.Lon[t]\n", " measlat = measured.Lat[t]\n", " \n", " plt.contourf(X_U,Y_U,bathy)\n", " plt.colorbar()\n", " plt.title('Domain of model (depths in m)')\n", " hold = True\n", " plt.plot(modlon,modlat,'g.',markersize=10,label='model')\n", " plt.plot(measlon,measlat,'m.',markersize=10,label='measured')\n", " plt.xlim([modlon-0.2,modlon+0.2])\n", " plt.ylim([modlat-0.2,modlat+0.2])\n", " plt.legend(numpoints=1)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 6 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Some of the measured locations don't have any model points near them" ] }, { "cell_type": "code", "collapsed": false, "input": [ "#Active Pass is not well resolved in the bathymetry\n", "plot_mod_meas_on_bathy(2)\n" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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X+fLLLxk7dqzNkVY1NTXMmjWLvLw8iouLWbduHd988w1Qd1Jmz57Nvn372Ldvn01RBwuj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\nNwTckG9foAthS7af97esAznv6zdBS3b+B7/L+ty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"text": [ "" ] } ], "prompt_number": 7 }, { "cell_type": "code", "collapsed": false, "input": [ "#Gabriola Passage is not well resolved in the bathymetry\n", "plot_mod_meas_on_bathy(4)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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LL+PevXt46KGH6PzgMpkM4eHhkMlk9JA+iw2DsIJLT5mNLDn2vLWJSCkqAndpAw9kwyQZ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\nj+LF3MI01hekZ02wOjh/KK2gly3qZdNEgqXV19I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"text": [ "" ] } ], "prompt_number": 8 }, { "cell_type": "code", "collapsed": false, "input": [ "#Dodd Narrows is not well resolved in the bathymetry\n", "plot_mod_meas_on_bathy(5)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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ODg6wsLDAiRMncPLk0xBYWloabt68CYqi0LNnT1haWtJOm7e3Nw4ePIi2tjZk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\nL1+O9PR0AB1z4+/duwdra2skJCSgZ8+eAIANGza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