{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from salishsea_tools import evaltools as et, viz_tools\n", "import cmocean as cmo\n", "import datetime as dt\n", "import netCDF4 as nc\n", "import matplotlib.dates as mdates\n", "import matplotlib as mpl\n", "import matplotlib.gridspec as gridspec\n", "from matplotlib.colors import LogNorm\n", "\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# path to model files:\n", "PATH= '/results/SalishSea/nowcast-green.201812/'\n", "\n", "# start and end dates for analysis:\n", "start_date = dt.datetime(2015,1,1)\n", "end_date = dt.datetime(2015,3,1)\n", "\n", "# number of days per model file: \n", "flen=1\n", "\n", "# dictionary mapping desired model variables to the file types where they are found\n", "filemap={'vosaline':'grid_T','votemper':'grid_T'}\n", "\n", "# dictionary mapping model file types to their time resolution in hours (1 is hourly files, 24 is daily)\n", "fdict={'ptrc_T':1,'grid_T':1}\n", "\n", "# results format\n", "# -- nowcast: files like 01jan15/SalishSea_1h_20150101_20150101_ptrc_T.nc\n", "# -- long: files like SalishSea_1h_20150206_20150804_ptrc_T_20150427-20150506.nc, all in one directory\n", "namfmt='nowcast'" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "5419\n" ] }, { "data": { "text/html": [ "
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YearMonthDayHourLatLonZSACTFluordtUTC
02015.02.011.05.29611148.613333-123.2438331.98309929.8496118.9427530.5042015-02-11 05:17:46
12015.02.011.05.29611148.613333-123.2438332.97464129.8521778.9425110.5002015-02-11 05:17:46
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" ], "text/plain": [ " Year Month Day Hour Lat Lon Z SA \\\n", "0 2015.0 2.0 11.0 5.296111 48.613333 -123.243833 1.983099 29.849611 \n", "1 2015.0 2.0 11.0 5.296111 48.613333 -123.243833 2.974641 29.852177 \n", "2 2015.0 2.0 11.0 5.296111 48.613333 -123.243833 3.966178 29.869012 \n", "3 2015.0 2.0 11.0 5.296111 48.613333 -123.243833 4.957711 29.915690 \n", "4 2015.0 2.0 11.0 5.296111 48.613333 -123.243833 5.949239 29.913935 \n", "\n", " CT Fluor dtUTC \n", "0 8.942753 0.504 2015-02-11 05:17:46 \n", "1 8.942511 0.500 2015-02-11 05:17:46 \n", "2 8.941135 0.491 2015-02-11 05:17:46 \n", "3 8.936661 0.482 2015-02-11 05:17:46 \n", "4 8.936489 0.490 2015-02-11 05:17:46 " ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# load DFO CTD data (returns pandas dataframe)\n", "# SA is Absolute (actually reference) Salinity, and CT is Conservative Temperature\n", "df1=et.loadDFOCTD(datelims=(start_date,end_date))\n", "print(len(df1))\n", "df1.head()" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "progress: 0.0%\n", "progress: 92.26794611551948%\n" ] } ], "source": [ "# match model output to observations and return both in a dataframe\n", "# the model variables will have their original names prefixed by mod_, eg mod_vosaline\n", "# the observation file names are unchanged. \n", "data=et.matchData(data=df1,filemap=filemap, fdict=fdict, mod_start=start_date, mod_end=end_date, \n", " mod_nam_fmt=namfmt, mod_basedir=PATH, mod_flen=flen)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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YearMonthDayHourLatLonZSACTFluordtUTCjimod_vosalinemod_votemperk
02015.01.09.016.99444449.328833-124.0808330.99148725.1461116.992043NaN2015-01-09 16:59:4052620623.1482056.3031940
12015.01.09.016.99444449.328833-124.0808332.08211725.2434277.082535NaN2015-01-09 16:59:4052620625.7397947.3127642
22015.01.09.016.99444449.328833-124.0808332.97444625.3197527.117362NaN2015-01-09 16:59:4052620625.7397947.3127642
32015.01.09.016.99444449.328833-124.0808333.96591925.3787897.148240NaN2015-01-09 16:59:4052620627.2791487.8675533
42015.01.09.016.99444449.328833-124.0808334.95738625.4232547.173524NaN2015-01-09 16:59:4052620627.3476627.8931164
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" ], "text/plain": [ " Year Month Day Hour Lat Lon Z SA \\\n", "0 2015.0 1.0 9.0 16.994444 49.328833 -124.080833 0.991487 25.146111 \n", "1 2015.0 1.0 9.0 16.994444 49.328833 -124.080833 2.082117 25.243427 \n", "2 2015.0 1.0 9.0 16.994444 49.328833 -124.080833 2.974446 25.319752 \n", "3 2015.0 1.0 9.0 16.994444 49.328833 -124.080833 3.965919 25.378789 \n", "4 2015.0 1.0 9.0 16.994444 49.328833 -124.080833 4.957386 25.423254 \n", "\n", " CT Fluor dtUTC j i mod_vosaline mod_votemper \\\n", "0 6.992043 NaN 2015-01-09 16:59:40 526 206 23.148205 6.303194 \n", "1 7.082535 NaN 2015-01-09 16:59:40 526 206 25.739794 7.312764 \n", "2 7.117362 NaN 2015-01-09 16:59:40 526 206 25.739794 7.312764 \n", "3 7.148240 NaN 2015-01-09 16:59:40 526 206 27.279148 7.867553 \n", "4 7.173524 NaN 2015-01-09 16:59:40 526 206 27.347662 7.893116 \n", "\n", " k \n", "0 0 \n", "1 2 \n", "2 2 \n", "3 3 \n", "4 4 " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data.head()" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/data/eolson/results/MEOPAR/tools/SalishSeaTools/salishsea_tools/viz_tools.py:123: UserWarning: No contour levels were found within the data range.\n", " contour_lines = axes.contour(\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# plot matched data locations\n", "fig, ax = plt.subplots(figsize = (6,6))\n", "viz_tools.set_aspect(ax, coords = 'map')\n", "ax.plot(data['Lon'], data['Lat'], 'ro',label='matched obs')\n", "grid = nc.Dataset('/data/vdo/MEOPAR/NEMO-forcing/grid/bathymetry_201702.nc')\n", "viz_tools.plot_coastline(ax, grid, coords = 'map')\n", "ax.set_ylim(48, 50.5)\n", "ax.legend()\n", "ax.set_xlim(-125.7, -122.5);" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "# create dictionary of dataframe views by year\n", "datyr=dict()\n", "yy=np.array([ii.year for ii in data['dtUTC']])\n", "yys=np.unique(yy)\n", "for yr in np.unique(yy):\n", " datyr[yr]=data.loc[yy]" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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AAACiQxELAACA6FDEAgAAIDoUsQAAAIjO/wIgwj5xtj7mtQAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# plot mathced data sampling times\n", "clist=('gold','aqua','plum','c','m','r','g','b','brown','gray')\n", "fig,axL=plt.subplots(1,1,figsize=(12,1))\n", "for ii, yr in enumerate(yys):\n", " dshift=dt.datetime(yys[0],1,1)-dt.datetime(yr,1,1)\n", " axL.plot(datyr[yr].dtUTC+dshift,np.zeros(np.shape(datyr[yr].dtUTC))+.1*ii,'.',\n", " color=clist[ii],markersize=4,label=str(yr))\n", "axL.set_yticks(());\n", "yearsFmt = mdates.DateFormatter('%d %b')\n", "axL.xaxis.set_major_formatter(yearsFmt)\n", "axL.xaxis.set_ticks([dt.datetime(int(yys[0]),1,1), dt.datetime(int(yys[0]),3,1),dt.datetime(int(yys[0]),5,1),dt.datetime(int(yys[0]),7,1),\n", " dt.datetime(int(yys[0]),9,1),dt.datetime(int(yys[0]),11,1),dt.datetime(int(yys[0])+1,1,1)])\n", "for tick in axL.get_xticklabels():\n", " tick.set_rotation(90)\n", " tick.set_horizontalalignment('center')\n", "axL.set_ylim(-.1,.1*(len(datyr.keys())+1))\n", "axL.set_xlim(dt.datetime(yys[0],1,1),dt.datetime(yys[0],12,31))\n", "axL.legend()\n", "axL.set_frame_on(False)\n", "xmin, xmax = axL.get_xaxis().get_view_interval()\n", "ymin, ymax = axL.get_yaxis().get_view_interval()\n", "axL.add_artist(mpl.lines.Line2D((xmin, xmax), (ymin, ymin), color='black', linewidth=2))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Display stats" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CT:\n", " N: 243\n", " bias: -0.35999605360143505\n", " RMSE: 0.5905521915554878\n", " WSS: 0.7384473023813822\n", "SA:\n", " N: 243\n", " bias: -0.1526168398159058\n", " RMSE: 1.0348822231362511\n", " WSS: 0.870339636399721\n" ] } ], "source": [ "print('CT:')\n", "et.printstats(data.loc[data.Z<15,:],'CT','mod_votemper')\n", "print('SA:')\n", "et.printstats(data.loc[data.Z<15,:],'SA','mod_vosaline')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### mod vs. obs plots" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, '$\\\\Theta$ ($^{\\\\circ}$C)')" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize = (7.5,3.25))\n", "gs1=gridspec.GridSpec(1,4,left=.08,right=.91,bottom=.1,top=.97,\n", " wspace=.2,width_ratios=[1,.1,1,.1])\n", "axT=fig.add_subplot(gs1[0,0])\n", "axS = fig.add_subplot(gs1[0,2])\n", "gscb=gridspec.GridSpecFromSubplotSpec(7,1,subplot_spec=gs1[:,3])\n", "axcb = fig.add_subplot(gscb[1:-1])\n", "\n", "axS.plot((0,36),(0,36),'k-',alpha=.2)\n", "axT.plot((0,25),(0,25),'k-',alpha=.2)\n", "\n", "iiT=(~np.isnan(data['CT']))&(~np.isnan(data['mod_votemper']))\n", "iiS=(~np.isnan(data['SA']))&(~np.isnan(data['mod_vosaline']))\n", "counts, xedges, yedges, m1=axT.hist2d(data.loc[iiT,['CT']].values.flatten(),\n", " data.loc[iiT,['mod_votemper']].values.flatten(),bins=25*3,norm=LogNorm())\n", "counts, xedges, yedges, m2=axS.hist2d(data.loc[iiS,['SA']].values.flatten(),\n", " data.loc[iiS,['mod_vosaline']].values.flatten(),bins=36*3,norm=LogNorm())\n", "\n", "cb=fig.colorbar(m1,cax=axcb)\n", "cb.set_label('Count')\n", "\n", "ntick=np.arange(0,36,10)\n", "ntickl=[str(i) for i in ntick]\n", "axS.set_xlim((0,36))\n", "axS.set_ylim((0,36))\n", "axS.set_xticks(ntick)\n", "axS.set_xticklabels(ntickl)\n", "axS.set_yticks(ntick)\n", "axS.set_yticklabels(ntickl)\n", " \n", "stick=np.arange(0,25,10)\n", "stickl=[str(i) for i in stick]\n", "axT.set_xlim((0,25))\n", "axT.set_ylim((0,25))\n", "axT.set_xticks(stick)\n", "axT.set_xticklabels(stickl)\n", "axT.set_yticks(stick)\n", "axT.set_yticklabels(stickl)\n", " \n", "for ax in (axT,axS):\n", " ax.set_aspect(1, adjustable='box')\n", " \n", "axT.set_ylabel('Modeled',fontsize=12)\n", "axS.set_ylabel('Modeled',fontsize=12)\n", "axT.set_xlabel('Observed',fontsize=12)\n", "axS.set_xlabel('Observed',fontsize=12)\n", "\n", "axS.set_title('S$_A$ (g/kg)',fontsize=12)\n", "axT.set_title('$\\Theta$ ($^{\\circ}$C)',fontsize=12)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/data/eolson/results/MEOPAR/tools/SalishSeaTools/salishsea_tools/viz_tools.py:123: UserWarning: No contour levels were found within the data range.\n", " contour_lines = axes.contour(\n" ] }, { "data": { "text/html": [ "
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YearMonthDayHourLatLonZSACTFluordtUTCjimod_vosalinemod_votemperk
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" ], "text/plain": [ "Empty DataFrame\n", "Columns: [Year, Month, Day, Hour, Lat, Lon, Z, SA, CT, Fluor, dtUTC, j, i, mod_vosaline, mod_votemper, k]\n", "Index: []" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "## where is that weird point from?\n", "fig, ax = plt.subplots(figsize = (5,5))\n", "viz_tools.set_aspect(ax, coords = 'map')\n", "ax.plot(data.loc[((data.mod_votemper-data.CT)<-3),['Lon']], data.loc[((data.mod_votemper-data.CT)<-3),['Lat']], 'ro',label='high obs')\n", "grid = nc.Dataset('/data/vdo/MEOPAR/NEMO-forcing/grid/bathymetry_201702.nc')\n", "viz_tools.plot_coastline(ax, grid, coords = 'map')\n", "ax.set_ylim(48, 50.5)\n", "ax.legend()\n", "ax.set_xlim(-125.7, -122.5);\n", "data.loc[(data.mod_votemper-data.CT)<-3]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Alternatively, color by depth (Z), or other variable:" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, '$\\\\Theta$ ($^{\\\\circ}$C)')" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize = (8,8))\n", "ps=et.varvarPlot(ax,data,'CT','mod_votemper','Z',(15,50,100,200),'z','m',('darkorange','gold','mediumseagreen','darkturquoise','navy'))\n", "ax.legend(handles=ps)\n", "ax.set_xlabel('Obs')\n", "ax.set_ylabel('Model')\n", "ax.set_title('$\\Theta$ ($^{\\circ}$C)')" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python (py39)", "language": "python", "name": "py39" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.2" } }, "nbformat": 4, "nbformat_minor": 4 }