{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Si Ratio 2.2\n", "Nutrient comparisons with edited dataset using surface instead of 2m for depth. (" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import numpy as np\n", "import netCDF4 as nc\n", "import matplotlib.pyplot as plt\n", "import pandas as pd\n", "import datetime\n", "import xarray as xr\n", "from salishsea_tools import tidetools, geo_tools, viz_tools, nc_tools\n", "import pytz\n", "import os\n", "import glob\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "\n", "
" ], "text/plain": [ "" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from IPython.display import HTML\n", "\n", "HTML('''\n", "
''')\n" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [], "source": [ "#load model grid stuff\n", "grid = nc.Dataset('/data/vdo/MEOPAR/NEMO-forcing/grid/bathymetry_201702.nc')\n", "bathy, X, Y = tidetools.get_bathy_data(grid)\n", "mesh = nc.Dataset('/data/vdo/MEOPAR/NEMO-forcing/grid/mesh_mask201702.nc')" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/data/vdo/MEOPAR/tools/SalishSeaTools/salishsea_tools/geo_tools.py:170: RuntimeWarning: invalid value encountered in greater\n", " (np.logical_and(model_lons > lon - tols[grid]['tol_lon'],\n", "/data/vdo/MEOPAR/tools/SalishSeaTools/salishsea_tools/geo_tools.py:171: RuntimeWarning: invalid value encountered in less\n", " model_lons < lon + tols[grid]['tol_lon'])),\n", "/data/vdo/MEOPAR/tools/SalishSeaTools/salishsea_tools/geo_tools.py:172: RuntimeWarning: invalid value encountered in greater\n", " (np.logical_and(model_lats > lat - tols[grid]['tol_lat'],\n", "/data/vdo/MEOPAR/tools/SalishSeaTools/salishsea_tools/geo_tools.py:173: RuntimeWarning: invalid value encountered in less\n", " model_lats < lat + tols[grid]['tol_lat']))\n" ] } ], "source": [ "# Load CitSci data and clean it up\n", "nutrients_2015 = pd.read_csv(\n", " '/ocean/eolson/MEOPAR/obs/PSFCitSci/PSFbottledata2015_CN_edits_EOCor2.csv')\n", "Yinds = np.array([])\n", "Xinds = np.array([])\n", "for n in nutrients_2015.index:\n", " Yind, Xind = geo_tools.find_closest_model_point(nutrients_2015['lon'][n], \n", " nutrients_2015['lat'][n], \n", " X, Y, land_mask = bathy.mask)\n", " Yinds = np.append(Yinds, Yind)\n", " Xinds = np.append(Xinds, Xind)\n", "nutrients_2015 = nutrients_2015.assign(Yind = Yinds)\n", "nutrients_2015 = nutrients_2015.assign(Xind = Xinds)\n", "nutrients_2015 = nutrients_2015.dropna(subset=['Yind'])\n", "nutrients_2015 = nutrients_2015[~nutrients_2015.flagged]" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "(890, 13)" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "nutrients_2015.shape" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# load model data and load it into arrays\n", "model_nutrients = sorted(glob.glob(\n", " '/data/vdo/MEOPAR/completed-runs/SiRatio2.2/test*/SalishSea*1d*ptrc*'))" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "times is done\n", "Si is done\n", "Nitrate is done\n" ] } ], "source": [ "with nc_tools.scDataset(model_nutrients) as f: #takes a while to run, prone to killing kernal\n", " times = f.variables['time_counter'][:]\n", " print('times is done')\n", " model_si = f.variables['silicon'][:, :19, ...]\n", " print('Si is done')\n", " model_n023 = f.variables['nitrate'][:, :19, ...]\n", " print('Nitrate is done')" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [], "source": [ "h = nc.Dataset(model_nutrients[0])" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# convert into datetime\n", "converted_timesa = nc.num2date(times, h.variables['time_counter'].units)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# mask everything outside of daterange of modelled results \n", "# apply same mask to everything in CS data\n", "dates = nutrients_2015['date'].values\n", "dates = np.array([pd.to_datetime(dates[n]) for n in range(890)])\n", "dates = np.ma.masked_outside(dates, datetime.datetime(2015,1,31), datetime.datetime(2015,5,2))\n", "Yinds = np.ma.masked_array(nutrients_2015['Yind'].values, mask = dates.mask)\n", "Xinds = np.ma.masked_array(nutrients_2015['Xind'].values, mask = dates.mask)\n", "depths = np.ma.masked_array(nutrients_2015['depth'].values, mask = dates.mask)\n", "cs_si = np.ma.masked_array(nutrients_2015['si'].values, mask = dates.mask)\n", "cs_no23 = np.ma.masked_array(nutrients_2015['no23'].values, mask = dates.mask)\n", "stations = np.ma.masked_array(nutrients_2015['station'].values, mask = dates.mask)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "273" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "np.ma.count(cs_si)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/vdo/anaconda3/lib/python3.6/site-packages/ipykernel/__main__.py:19: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", "/home/vdo/anaconda3/lib/python3.6/site-packages/ipykernel/__main__.py:20: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", "/home/vdo/anaconda3/lib/python3.6/site-packages/ipykernel/__main__.py:11: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", "/home/vdo/anaconda3/lib/python3.6/site-packages/ipykernel/__main__.py:12: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n" ] } ], "source": [ "list_of_model_si = np.ma.masked_array(np.zeros((890)), mask = True)\n", "list_of_model_ni = np.ma.masked_array(np.zeros((890)), mask = True)\n", "t = 0\n", "for n in range(890):\n", " if dates.mask[n] == False:\n", " Yind = Yinds[n]\n", " Xind = Xinds[n]\n", " date = dates[n]\n", " if ((depths[n] == 20) and (mesh.variables['tmask'][0,18,Yind,Xind] == 1)):\n", " index = np.argmin(np.abs(converted_timesa - date))\n", " s_val = model_si[index, 18,Yind, Xind]\n", " n_val = model_n023[index, 18, Yind, Xind]\n", " list_of_model_si.mask[t] = False\n", " list_of_model_si[t] = s_val\n", " list_of_model_ni.mask[t] = False\n", " list_of_model_ni[t] = n_val\n", " if ((depths[n] == 2) and (mesh.variables['tmask'][0,0,Yind,Xind] == 1)):\n", " index = np.argmin(np.abs(converted_timesa - date))\n", " s_val = model_si[index, 0,Yind, Xind]\n", " n_val = model_n023[index, 0, Yind, Xind]\n", " list_of_model_si.mask[t] = False\n", " list_of_model_si[t] = s_val\n", " list_of_model_ni.mask[t] = False\n", " list_of_model_ni[t] = n_val\n", " t = t + 1" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": false }, "outputs": [], "source": [ "cs_no23.mask = list_of_model_ni.mask\n", "cs_si.mask = list_of_model_si.mask" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": true }, "outputs": [], "source": [ "stations = np.ma.masked_array(stations, mask = list_of_model_si.mask)" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "267" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "np.ma.count(cs_no23)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "collapsed": true }, "outputs": [], "source": [ "cb_model_si = np.array([])\n", "cb_model_ni = np.array([])\n", "cb_cs_si = np.array([])\n", "cb_cs_ni = np.array([])\n", "cb_depths = np.array([])\n", "for n in range(890):\n", " if stations.mask[n] == False:\n", " if stations[n][:2] == 'CB':\n", " cb_model_si = np.append(cb_model_si, list_of_model_si[n])\n", " cb_model_ni = np.append(cb_model_ni, list_of_model_ni[n])\n", " cb_cs_si = np.append(cb_cs_si, cs_si[n])\n", " cb_cs_ni = np.append(cb_cs_ni, cs_no23[n])\n", " cb_depths = np.append(cb_depths, depths[n])\n", " list_of_model_ni.mask[n] = True\n", " list_of_model_si.mask[n] = True\n", " cs_no23.mask[n] = True\n", " cs_si.mask[n] = True" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "bias = 7.1015441631\n", "RMSE = 9.18659665621\n", "Willmott = 0.672916478427\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfIAAAHwCAYAAABdWe3bAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize = (8,8))\n", "ax.plot(cs_no23, list_of_model_ni, 'r.')\n", "ax.plot(cb_cs_ni[cb_depths == 2], cb_model_ni[cb_depths == 2], 'b.', label = 'CB surface')\n", "ax.plot(cb_cs_ni[cb_depths == 20], cb_model_ni[cb_depths == 20], 'g.',label = 'CB 20 m' )\n", "ax.plot(np.arange(0,38), np.arange(0,38), 'b-')\n", "ax.grid('on')\n", "plt.legend()\n", "ax.set_title('Citizen Science Data vs Nowcast-green: Nitrate')\n", "ax.set_xlabel('Citizen Science')\n", "ax.set_ylabel('Nowcast-green');\n", "print('bias = ' + str(-np.mean(cs_no23) + np.mean(list_of_model_ni)))\n", "print('RMSE = ' + str(np.sqrt(np.sum((list_of_model_ni - cs_no23)**2) /\n", " 267)))\n", "xbar = np.mean(cs_no23)\n", "print('Willmott = ' + str(1-(np.sum((list_of_model_ni - cs_no23)**2) / \n", " np.sum((np.abs(list_of_model_ni - xbar) \n", " + np.abs(cs_no23 - xbar))**2))))" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "bias = 8.70518027562\n", "RMSE = 13.7929413074\n", "Willmott = 0.677237072313\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfIAAAHwCAYAAABdWe3bAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize = (8,8))\n", "ax.plot(cs_si, list_of_model_si, 'r.')\n", "ax.plot(cb_cs_si[cb_depths == 2], cb_model_si[cb_depths == 2], 'b.', label = 'CB surface')\n", "ax.plot(cb_cs_si[cb_depths == 20], cb_model_si[cb_depths == 20], 'g.',label = 'CB 20 m' )\n", "ax.plot(np.arange(0,56), np.arange(0,56), 'b-')\n", "ax.grid('on')\n", "plt.legend()\n", "ax.set_title('Citizen Science Data vs Nowcast-green: Si')\n", "ax.set_xlabel('Citizen Science')\n", "ax.set_ylabel('Nowcast-green');\n", "print('bias = ' + str(-np.mean(cs_si) + np.mean(list_of_model_si)))\n", "print('RMSE = ' + str(np.sqrt(np.sum((list_of_model_si - cs_si)**2) /\n", " 267)))\n", "xbar = np.mean(cs_si)\n", "print('Willmott = ' + str(1-(np.sum((list_of_model_si - cs_si)**2) / \n", " np.sum((np.abs(list_of_model_si - xbar) \n", " + np.abs(cs_si - xbar))**2))))" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAA70AAAH2CAYAAAC83esqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(1,2, figsize = (16,8))\n", "ax[0].plot(cs_no23[nutrients_2015['depth'].values == 2], \n", " cs_si[nutrients_2015['depth'].values == 2], \n", " 'b.', alpha = 0.5)\n", "ax[0].plot(cs_no23[nutrients_2015['depth'].values == 20], \n", " cs_si[nutrients_2015['depth'].values == 20], \n", " 'g.', alpha = 0.5)\n", "ax[0].plot(cb_cs_ni[cb_depths == 20], cb_cs_si[cb_depths == 20], \n", " '.', alpha = 0.5, color = 'saddlebrown')\n", "ax[0].plot(cb_cs_ni[cb_depths == 2], cb_cs_si[cb_depths == 2], \n", " '.', alpha = 0.5, color = 'purple')\n", "ax[0].plot(np.unique(cs_no23), np.poly1d(np.polyfit(cs_no23, cs_si, 1))(np.unique(cs_no23)))\n", "x = np.arange(0,50)\n", "#ax[0].plot(x,x, 'r-', alpha = 0.3)\n", "ax[0].plot(x, 2*x, 'g-', alpha = 0.3)\n", "ax[0].plot(x, 2*x+30, 'y-', alpha = 0.3)\n", "ax[1].plot(list_of_model_ni[nutrients_2015['depth'].values == 2], \n", " list_of_model_si[nutrients_2015['depth'].values == 2], 'b.', \n", " alpha = 0.5, label = 'surface')\n", "ax[1].plot(list_of_model_ni[nutrients_2015['depth'].values == 20], \n", " list_of_model_si[nutrients_2015['depth'].values == 20], 'g.', \n", " alpha = 0.5, label = '20m')\n", "ax[1].plot(cb_model_ni[cb_depths == 2], cb_model_si[cb_depths == 2], \n", " '.', alpha = 0.5, color = 'purple', label = 'CB surface')\n", "ax[1].plot(cb_model_ni[cb_depths == 20], cb_model_si[cb_depths == 20], \n", " '.', alpha = 0.5, color = 'saddlebrown', label = 'CB 20m')\n", "ax[1].plot(np.unique(list_of_model_ni), \n", " np.poly1d(np.polyfit(list_of_model_ni, \n", " list_of_model_si, 1))(np.unique(list_of_model_ni)))\n", "x = np.arange(0,53)\n", "#ax[1].plot(x,x, 'r-', alpha = 0.3, label = 'slope = 1')\n", "ax[1].plot(x, 2*x, 'g-', alpha = 0.3, label = 'slope = 2')\n", "ax[1].plot(x, 2*x+30, 'y-', alpha = 0.3, label = '2*N + 30')\n", "ax[0].set_title('Citizen Science', fontsize = 16)\n", "ax[1].set_title('Model', fontsize = 16)\n", "for ax in ax:\n", " ax.grid('on')\n", " ax.set_ylabel('Si', fontsize = 14)\n", " ax.set_xlabel('N', fontsize = 14)\n", " ax.set_ylim(0,105)\n", " ax.set_xlim(0,40)\n", "plt.legend();" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CitSci slope = 1.20089704365\n", "CitSci y int = 16.3134925754\n", "model slope = 1.68000705857\n", "model y int = 0.593825971486\n" ] } ], "source": [ "m1, b1 = np.polyfit(cs_no23, cs_si, 1)\n", "print('CitSci slope = ' + str(m1))\n", "print('CitSci y int = ' + str(b1))\n", "m2, b2 = np.polyfit(list_of_model_ni, list_of_model_si, 1)\n", "print('model slope = ' + str(m2))\n", "print('model y int = ' + str(b2))" ] }, { "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 }