{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "Testing gsw python for TEOS-10 compatibility\n", "\n", "TEOS-10 - http://www.teos-10.org/\n", "\n", "gsw python - https://pypi.python.org/pypi/gsw" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import gsw\n", "import matplotlib.pyplot as plt\n", "import netCDF4 as nc\n", "import numpy as np\n", "import scipy.io\n", "import datetime\n", "\n", "from salishsea_tools import viz_tools, teos_tools\n", "from nowcast import analyze\n", "\n", "%matplotlib inline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Matlab tests" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# Load gsw Matlab demo file\n", "f = scipy.io.loadmat('/data/nsoontie/GSW/library/gsw_data_v3_0.mat')\n", "demo = f['gsw_demo_data']\n", "# grab data - subsampled like in matlab demo. Why is creating a list of indices so hard?\n", "ind_sub = np.arange(28,48,4)\n", "ind_sub = [i for i in ind_sub]\n", "indices = [0,21]\n", "for i in ind_sub:\n", " indices.append(i)\n", "\n", "p = np.array([demo['p'][0][0][i,0] for i in indices])\n", "t = np.array([demo['t'][0][0][i,0] for i in indices])\n", "SP = np.array([demo['SP'][0][0][i,0] for i in indices])\n", "\n", "\n", "long = demo['long'][0][0][0,0]\n", "lat = demo['lat'][0][0][0,0]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Practical salinity to absolute salinity" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [], "source": [ "#copied from Matlab gsw_demo output\n", "SA_Mat = np.array([ 34.7392, 34.4652, 34.7738, 34.8435, 34.8637, 34.8739, 34.8776,] )" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "array([ 34.73922653, 34.46519542, 34.7738161 , 34.84347021,\n", " 34.86368827, 34.87389077, 34.87760285])" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "SA_py = gsw.SA_from_SP(SP,p, long, lat)\n", "SA_py" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "(np.abs(SA_py-SA_Mat) < 1e-4).all()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Yes, up to the accuracy I copied from Matalb results, the answers are the same.\n", "\n", "## In-situ temperature to conservative temperature" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "array([ 19.51302027, 3.55877109, 1.81571146, 1.34340125,\n", " 1.15831711, 1.05175362, 1.0073248 ])" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#copied from output of gsw_demo\n", "CT_Mat = np.array([ 19.5130, 3.5588, 1.8157, 1.3434, 1.1583, 1.0518, 1.0073, ] )\n", "\n", "CT_py = gsw.CT_from_t(SA_py, t, p)\n", "CT_py" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "(np.abs(CT_py - CT_Mat) < 1e-4).all()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Again, up to accuracy copied from matlab, the results are the same.\n", "\n", "## Density" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "array([ 1024.57149173, 1031.93720792, 1037.00233755, 1041.6688784 ,\n", " 1046.17966141, 1050.59166961, 1054.90183236])" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#copied from output of gsw_demo\n", "rho_Mat = np.array([ 1024.5709, 1031.9377, 1037.0031, 1041.6695, 1046.1799, 1050.5915, 1054.9014, ] )\n", "\n", "rho_py = gsw.rho(SA_py, CT_py, p)\n", "rho_py" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "False" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "(np.abs(rho_py-rho_Mat) < 1e-4).all()" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "array([ 0.00059173, -0.00049208, -0.00076245, -0.0006216 , -0.00023859,\n", " 0.00016961, 0.00043236])" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "rho_py-rho_Mat" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Ok, I'm starting to get some differences here. They are pretty small (< 1e-3)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Summary\n", "* Matlab teos-10 and python gsw give comparable results. \n", "* There are small differences in the matlab/python gsw density (<1e-5 kg/m^3)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Notes\n", "\n", "## What is conservative temperature?\n", "From TEOS-10 primer:\n", "\n", "$CT = \\frac{h_0}{c_p^0}$\n", "\n", "where $h_0$ is the potential enthalpy and $c_p^0$ is a scale factor that makes potential temperature and conservative temperature numerically similar for typical seawater (practical salinty =35 psu, in-situ temperature = 0 deg C). Potential enthalpy is a measure of heat content. \n", "\n", "The primer says that the difference between potential temperature and conservative temperature can be high (like 1 deg C) when salinity is low and temperature is high. So, I think that applies to the Strait of Georgia. \n", "\n", "### Model Potential temperature vs Conservative temperature" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def compare_calculations(fnames, j, i, col, mesh_mask, gridB, axs):\n", " # Loading\n", " SP, times = analyze.combine_files(fnames, 'vosaline', np.arange(0,40), j, i )\n", " PT, times = analyze.combine_files(fnames, 'votemper', np.arange(0,40), j, i )\n", " SP = SP.mean(axis=0) #practical salinity\n", " PT = PT.mean(axis=0) #potential temperature\n", " d = mesh_mask.variables['gdept'][0,:,j,i] #depth\n", " tmask = mesh_mask.variables['tmask'][0,:,j,i]\n", " lon = gridB.variables['nav_lon'][j,i]\n", " lat = gridB.variables['nav_lat'][j,i]\n", " # caclulate gsw variables\n", " p = gsw.p_from_z(-d,lat) # pressure\n", " SA = gsw.SA_from_SP(SP,p,lon, lat) #calculate absoluate salinity with gsw\n", " Sref = teos_tools.psu_teos(SP) # calculated reference salinity with teos_tools\n", " CT = gsw.CT_from_pt(SA,PT)*tmask # calculate conservative temp using gsw\n", " CT_from_Sref = gsw.CT_from_pt(Sref, PT)*tmask # calculate conservative temperature from Sref\n", " # set up comparisons\n", " diffs = [PT - CT, Sref - SA, CT_from_Sref - CT]\n", " titles = ['Model Pot. temp - \\n gsw Cons. temp',\n", " 'Ref. salinity - \\n gsw absolute salinity',\n", " 'Cons. temp calculated with Ref. Salinity - \\n gsw Cons. temp']\n", " xlabels = ['Temp C', 'Salinity [g/kg]', 'Temp C']\n", " # plotting\n", " for ax, diff, title, xlabel in zip(axs[0:3], diffs, titles, xlabels):\n", " plot_diff(ax, diff, d, tmask,col, title,xlabel )\n", " ax=axs[-1]\n", " viz_tools.plot_coastline(ax,b)\n", " ax.plot(i,j,'o', c=col)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def plot_diff(ax, difference, depth, tmask, col, title, xlabel):\n", " ax.plot(np.ma.array(difference, mask=1-tmask), depth, c = col)\n", " ax.set_ylim([400,0])\n", " ax.set_ylabel('Depth [m]')\n", " ax.set_xlabel(xlabel)\n", " ax.set_title(title)\n", " for tick in ax.get_xticklabels():\n", " tick.set_rotation(45)\n", " print('{} --- max diff: {}'.format(title.replace('\\n', ''), np.abs(difference).max()))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### In SoG\n", "#### Avaerage over summer months\n", "Differences between conservative temperature and potential temperature are highest in fresh and warm water. So, I would expect a considerable discrepancy between the two in the surface SoG during the summer. How much of a discrepancy?" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": true }, "outputs": [], "source": [ "to = datetime.datetime(2016,6,17)\n", "tf = datetime.datetime(2016,8,17)\n", "fnames = analyze.get_filenames(to, tf, '1d', 'grid_T', '/results/SalishSea/nowcast/')\n", "b = nc.Dataset('/data/nsoontie/MEOPAR/NEMO-forcing/grid/bathy_meter_SalishSea2.nc')\n", "mesh = nc.Dataset('/data/nsoontie/MEOPAR/NEMO-forcing/grid/mesh_mask_SalishSea2.nc')" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "color: b\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/data/nsoontie/MEOPAR/tools/SalishSeaNowcast/nowcast/analyze.py:170: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n", " if kss == 'None':\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Model Pot. temp - gsw Cons. temp --- max diff: 0.5766911511544031\n", "Ref. salinity - gsw absolute salinity --- max diff: 0.005304500074011287\n", "Cons. temp calculated with Ref. Salinity - gsw Cons. temp --- max diff: 9.379352142246944e-05\n", "--------------------------------------------------\n", "color: r\n", "Model Pot. temp - gsw Cons. temp --- max diff: 0.44017595159473544\n", "Ref. salinity - gsw absolute salinity --- max diff: 0.004785012257716659\n", "Cons. temp calculated with Ref. Salinity - gsw Cons. temp --- max diff: 8.692335176796462e-05\n", "--------------------------------------------------\n", "color: g\n", "Model Pot. temp - gsw Cons. temp --- max diff: 0.34506356879045796\n", "Ref. salinity - gsw absolute salinity --- max diff: 0.00863725568810736\n", "Cons. temp calculated with Ref. Salinity - gsw Cons. temp --- max diff: 0.0001531677141315413\n", "--------------------------------------------------\n" ] }, { "data": { "image/png": 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uZ/JD9HyNMBGZDumLl2Y3F3ArOnJniIikuVyOAY4Bv4p2s9kEBORB1sy/V6PnNkagA7Tc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UIFR8nNlaFDh3Ly5EnefvttOncuORm280y8YquQkVrqCaAlGXNn/yci/3WAtvw0ya10azTFyeH4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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Model potential - gsw conservative temperature\n", "iss = [300, 280, 260]\n", "jss = [450, 400, 450]\n", "cols = ['b','r','g']\n", "fig,axs = plt.subplots(1,4,figsize=(15,5))\n", "for j,i,col in zip(jss, iss, cols):\n", " print ('color: {}'.format(col))\n", " compare_calculations(fnames, j, i, col, mesh, b, axs)\n", " print ('--------------------------------------------------')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* There are significant differences (on average > .5 deg C) between the potential temperature and conservative temperature in the surface SoG. This suggests we should be careful about how we are inputting river temperatures in nowcast-green. I'm not sure what NEMO does about heat fluxes from the atmopshere but there is a flag ln_useCT that converts sea surface temp frmo CT to PT before computer air-sea fluxes (see NEMO 3.6 docs page 93).\n", "* The differences between reference salinity and absolute salinity (or Delta S) are small in the SoG (<0.01 g/kg). They get larger with depth. \n", "* There is practically no difference if we calculate conservative temperature with reference salinity vs calculating it with absolute salinity. Not sure why I cared about this... " ] }, { "cell_type": "markdown", "metadata": { "collapsed": false }, "source": [ "### In SJDF\n", "#### Avaerage over summer months\n", "How much difference between conservative and potential temperature is there in Juan de Fuca Strait?" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "color: b\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/data/nsoontie/MEOPAR/tools/SalishSeaNowcast/nowcast/analyze.py:170: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n", " if kss == 'None':\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Model Pot. temp - gsw Cons. temp --- max diff: 0.08106197365938073\n", "Ref. salinity - gsw absolute salinity --- max diff: 0.007581382302326745\n", "Cons. temp calculated with Ref. Salinity - gsw Cons. temp --- max diff: 0.00010909172036299708\n", "--------------------------------------------------\n", "color: r\n", "Model Pot. temp - gsw Cons. temp --- max diff: 0.07859283906558012\n", "Ref. salinity - gsw absolute salinity --- max diff: 0.006444467627410688\n", "Cons. temp calculated with Ref. Salinity - gsw Cons. temp --- max diff: 9.334706586017205e-05\n", "--------------------------------------------------\n", "color: g\n", "Model Pot. temp - gsw Cons. temp --- max diff: 0.0756420093625163\n", "Ref. salinity - gsw absolute salinity --- max diff: 0.005340388187647704\n", "Cons. temp calculated with Ref. Salinity - gsw Cons. temp --- max diff: 7.85492384265396e-05\n", "--------------------------------------------------\n" ] }, { "data": { "image/png": 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8PS6UJk1gx46MljTjsHqWNFRh506YPv4sY+6bz6Aqj/DmQyUZ8WNBXgjuzLLG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oMvNQAvL0ebpXExtNY0jqJLF2sGzvgEI02awObNjrao9BIWFsbmzZsZOHAgv/zyi6PNKZMsXrwY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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Model potential - gsw conservative temperature\n", "iss = [20, 50, 75]\n", "jss = [400, 370, 350]\n", "cols = ['b','r','g']\n", "fig,axs = plt.subplots(1,4,figsize=(15,5))\n", "for j,i,col in zip(jss, iss, cols):\n", " print ('color: {}'.format(col))\n", " compare_calculations(fnames, j, i, col, mesh, b, axs)\n", " print ('--------------------------------------------------')" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "* PT and CT differences are smaller than in surface SoG (<0.1 deg C)\n", "* Again, Ref Salinity and abs salinity are pretty small (<0.01 g/kg)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Summary\n", "* This notebook looked at differences between conservative temperature and potential temperature for model nowcast results. The conservative temperature was calculated with the gsw library. \n", "* The point was to understand if we may have significant errors in model results because we haven't converted the inititial conditions and boundary conditions to conservative temperature. Also, we need to understand how we should compare model conservative temperature to temperature measurements/observations. \n", "* Differences between conservative and potential temperature are large (>.5 deg C) in the surface SoG. We should recognize this discrepancy when constructing initial conditions and boundary files.\n", "* I also compared matlab teos-10 calculations for absolute salinity, conservative temperature and density and found very little difference. \n", "\n", "# Next steps\n", "* We should probably convert initial conditions and boundary conditions to Conservative Temperature. Right now they are in Potential Temperature but NEMO assumes they are in Conservative Temperature.\n", "* What do we do about river temperatures? Do they need to be converted to Conservative temperature? Look up in docs/code...\n", "* Figure out what ln_useCT is and if we need to use it. ln_useCT converts sea surface temp from CT to PT before computing air-sea fluxes (see NEMO 3.6 docs page 93). TEOS-10 primer page 5 says the appropriate temperature to use in air-sea interactions is insitu temperature. So I think we could use ln_useCT=True.\n", "* Is Delta S big in our region. In other words, is reference salinity a good representation of absolute salinity? The TEOS-10 manual says that, in the absence of other any information, it is ok to use Delta S = 0 in coastal areas. I have an email from Rich that says how to report absolute salinity calculated with Delta S =0. Also see the TEOS-10 primer. \n", "* LiveOcean BCs will need to be converted to TEOS. Acutally, the units on salinty are a little bit unclear. I'm assuming they are PSU but it would be best to check. Temperature is described as potential temperature.\n", "* We should think about how to compare model conservative temperature with observed 'in-situ' temperature. My understanding is for our depth ranges, potential temperature and insitu temperaure are not much different. But given the large differences between potential temperature and conservative temperature, we will need to be careful when comparing with observations." ] }, { "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": "3.5.2" } }, "nbformat": 4, "nbformat_minor": 0 }