{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Identify Coupled Patterns between SLP and SST through Maximum Covariance Analysis" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Maximum Correlation Analysis (MCA; Bretherton et al., 1992) is similar to Empirical Orthogonal Function Analysis (EOF) in that they both deal with the decomposition of a covariance matrix. In EOF, this is a covariance matrix based on a single spatio-temporal field, while MCA is based on the decomposition of a \"cross-covariance\" matrix derived from two variables. The resulting expansion coefficients (ECs) associated with the left and right singular vectors can then be projected onto the original data to obtain homogeneous and heterogeneous regression maps. \n", "\n", "This notebook applies MCA method to real data—the tropical Pacific sea level pressure (SLP) and sea surface temperature (SST) fields—and identify the coupled patterns from the data, including the famous tropical Pacific climate variability known as the El Nin o–Southern Oscillation (ENSO). ENSO has warm El Nino states and cool La Nina states, with changes found not only in the SST but also in the SLP.\n", "\n", "The MCA approach is chosen because it is able to capture patterns of maximum covariance between two variables; it has been found to reasonably capture atmospheric and oceanic processes (Wilks, 2015). It is a robust\n", "method to investigate dominant modes of interaction, because it favors a better understanding of the relationship between groups of variables (Frankignoul et al., 2011). \n", "\n", "The SLP and SST data are downloaded from http://www.esrl.noaa.gov/psd/gcos_wgsp/Gridded/data.hadslp2.html and http://www.esrl.noaa.gov/psd/thredds/catalog/Datasets/kaplan_sst/catalog.html, respectively." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1. Load all needed libraries" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "%matplotlib inline\n", "\n", "import numpy as np\n", "import xarray as xr\n", "import cartopy.crs as ccrs\n", "import datetime as dt\n", "import matplotlib.pyplot as plt\n", "import matplotlib as mpl\n", "import matplotlib.gridspec as gridspec\n", "import matplotlib.dates as mdates\n", "\n", "mpl.rcParams['figure.figsize'] = 8.0, 4.0 \n", "mpl.rcParams['font.size'] = 13 " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2. Load data\n", "\n", "Spatial domain: -180W ~ -70W, and 30N ~ -30S\n", "\n", "Period: 1950~2005\n", "\n", "Raw SLP and SST are converted to monthly anomalies" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2.1 SLP" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": true }, "outputs": [], "source": [ "ds1 = xr.open_dataset('data/slp.mnmean.hadslp2.nc')\n", "slp = ds1.slp.sel(lat=slice(30, -30), lon=slice(180, 290), time=slice('1950-01-01','2005-12-31'))\n", "lon_slp = ds1.lon.sel(lon=slice(180, 290))\n", "lat_slp = ds1.lat.sel(lat=slice(30, -30))\n", "dates = ds1.time.sel(time=slice('1950-01-01','2005-12-31')).values\n", "# climatology\n", "slp_clm = slp.groupby('time.month').mean(dim='time')\n", "# anomaly\n", "slp_anom = slp.groupby('time.month') - slp_clm" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2.2 SST" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": true }, "outputs": [], "source": [ "ds2 = xr.open_dataset('data/sst.mon.anom.kaplan.nc')\n", "sst_anom = ds2.sst.sel(lat=slice(-30, 30), lon=slice(180, 290), time=slice('1950-01-01','2005-12-31'))\n", "lat_sst = ds2.lat.sel(lat=slice(-30, 30))\n", "lon_sst = ds2.lon.sel(lon=slice(180, 290))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2.3 Preprocess\n", "\n", "Convert 3D SLP and SST to 2D arrays and only use none-NaN values of SST." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": true }, "outputs": [], "source": [ "slp2d = slp_anom.values\n", "ntime, nrow_slp, ncol_slp = slp2d.shape\n", "slp2d = np.reshape(slp2d, (ntime, nrow_slp*ncol_slp), order='F')\n", "\n", "sst2d = sst_anom.values\n", "ntime, nrow_sst, ncol_sst = sst2d.shape\n", "sst2d = np.reshape(sst2d, (ntime, nrow_sst*ncol_sst), order='F')\n", "\n", "nonMissingIndex = np.where(np.isnan(sst2d[0]) == False)[0]\n", "sst2dNoMissing = sst2d[:, nonMissingIndex]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 3. Carry out Maximum Covariance Analysis\n", "\n", "The key step is to apply SVD to decompose the covariance matrix of SLP and SST. It is worth noting that np.linalg.svd will produce V.T, instead of V. In practice, have to transpose it." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 3.1 MCA" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": true }, "outputs": [], "source": [ "Cxy = np.dot(slp2d.T, sst2dNoMissing)/(ntime-1.0)\n", "U, s, V = np.linalg.svd(Cxy, full_matrices=False)\n", "V = V.T" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 3.2 Postprocess\n", "* Calculate cumulative fraction of squares covariance explained\n", "* Extract the leading SLP MCA pattern and EC\n", "* Extract the leading SST MCA pattern and EC\n", "\n", "Normalize MCD mode 1 by standardizing the EC1, so patterns correspond to a 1-std deviation variation in EC1. The positive EC1 of SST should match the Nino SSTA." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### 3.2.1 Calculate cumulative fraction of squares covariance explained" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": true }, "outputs": [], "source": [ "scf = s**2./np.sum(s**2.0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### 3.2.2 Extract the leading SLP MCA pattern and EC" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# SLP MCA pattern\n", "U1 = np.reshape(U[:,0, None], (nrow_slp, ncol_slp), order='F')\n", "# EC1 of SLP\n", "a1 = np.dot(slp2d, U[:,0, np.newaxis])\n", "# normalize\n", "U1_norm = U1*np.std(a1)\n", "a1_norm = a1/np.std(a1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### 3.2.3 Extract the leading SST MCA pattern and EC" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# SST MCA pattern\n", "V1 = np.ones([nrow_sst*ncol_sst,1]) * np.NaN\n", "V1 = V1.astype(V.dtype)\n", "V1[nonMissingIndex,0] = V[:,0]\n", "V1 = V1.reshape([nrow_sst,ncol_sst], order='F')\n", "\n", "# EC1 of SST\n", "b1 = np.dot(sst2dNoMissing, V[:,0, np.newaxis])\n", "\n", "# normalize\n", "V1_norm = V1*np.std(b1)\n", "b1_norm = b1/np.std(b1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 4 Visualize MCA results\n", "### 4.1 Plot cumulative fraction of squares covariance explained" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(-0.5, 40)" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot(np.cumsum(scf),'x') \n", "plt.xlabel('SVD mode')\n", "plt.ylabel('Cumulative squares covariance fraction')\n", "plt.ylim([0.7,1.1])\n", "plt.xlim([-0.5, 40])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 4.2 Plot the leading SLP/SST MCA spatial pattern and EC" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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3/oq3j0+at8kegnPnI+7pE+5cv0qu0ORu97qvdmTnuuX0GpV54tB1XJNVJ28k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\n+k+iVdxA5hY4aTnqbkQXOI6LGq11OuM7ttbGgnl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We/z6T0y97hy23GLTlsfu++f7PPjC\nG0y971pKutSse5JPNE11SsWr/5rKcedeyrZbbUmXzp04+bijWVvWkSFDhtC/f6a0dWNjI1tvvTUf\nffQR48aN4+CDD2bfffela9eupo/RTGojOYUiOIbckPYy2O05Zc1i01/sxmO3TqS+rq6V5Ox76gT+\n75DdGHfCWfTou5624/37rdd55P67uf+Zl+k3YFDL/RsM26jVdp27ZGSnrLyca/5wl7bjG/IfnWlo\naZi0rrMNhSY3Fs42+0lPmCgPtH798114siU3ECw41jZbbpCRilpH4ZiTxu3B3U++xD/enc5++4xZ\n94D13Q0R1bHz08/z+dXpF/D05DvZcfTWAJT0HdZmu+LiYgYMGMBHH33EY489Rnl5eeD5GKKRSslJ\nWnAMhYmzWELaRUcn+RbFgcyinzV9+1NWUcE/HryLrfbYjx59+1PdpRv7HH8W1515NL++7wk6d68J\n3pkCH73/HnuPP6SV4Ljx4D130ne9ASxZtJC5c2bTr/9ALcc35BeRqqD5kFRUxCLb5ZNV25aPYuNH\nUtKjW3qzIU1x2hz0+YkjOBblpSWUFhezQe8aHv37a/Rdrx87bTYcVi3nxnOP4/ir/0jfmq5suc3W\nrZ8YUXb+Pe1jtt9qC1/BAXj99dd5//33KS8v56233mKPPfZQPidDOFIlOVErp4UVnGxGcbKRqmYw\n5CN9Bg1hvQ1HcPF+27Fy6WJemnIPNz7/PmUVFYz51UmsWb2S3xx3AJf/6RF6Nq9g7WTugoXM/eJj\nevXrz8Ah7h2KxRefTOPwE0733UZKyR03XMOU51/h5b89wx+v+x3X33lv5HP0pLg4FSu1GzJEXrdG\no9jEnaCfpBBFaZtuuQkzuI1C1IUTk4z0xCGpuVxxZSxqxC/K+9+wfDnn7b8Tm517Iytq6wCY8/it\n1HSuZrcRA/njhJPZ9/zf8fhtv2XHrTZtu4Pa5dTXN/D6xzPo3qUzo0YOp7i4GHAvTPDhJ5+ydXNa\nnJfgAFx11VX87ne/o2vXrpxzzjn873//C31ugZg+BkiR5BSi4GSDJNfGybcoiNVeK6KT5vYXaqra\nwlX11HRQ+44Vl5Rw5g2TmP7GS3z67hssWzifS8Ztz55HncKYI09h/5POo2ePntx43vFMuPV+eq23\nLqJSX7eG/773FlNunkinbjXM+PgDutb0YONR23LAMSczcqvRLdvOW7qCx++6ic8/nkavvv182ySE\nYI+x+/P2a6+weNFCRmzi0vGlCCFEMXAdcBxQAbwCnCqlXOiy7T7ABGBToBj4DLhcSvm2bRsJ1AL2\nH71+UsplSZ1DrgklOIqllIPIdcWxRNeqiTgITlpidB0/SIbs5x80nyeb0hOGJFIp46QzxvlsXHXE\nXhy43aZc/9RrdO5QycjjL+fw3Ubz2xMOYvyuo6nuUMnF19/BNReexm6jR61rS1MT73z0GRPvfIDF\nS5fzyYxvANj9F9tywqHjOHTfMeuiOlJyx4OP8shTf+M3553mKzgABx10EC+++CJjxoxhiy22iHxu\n2SDf+5jUFB6oWzQ31HOipKelMYID0aM4RnDyE92Ck+tUtYWr3BfKVJUdOz99N5O/XHs562+8OYec\nczkAz95+DW889xijdvwlY485hRnT/8PT997GehsMZbs992f+3O+pX7mcHffaj59/mMOUO2/kqDMv\nYp/DjqZ21Somnn0cXTp15sRzJjBspLe0dCjLXKGbOeNLDttrF0rLynjy1bdYrzm9beM+nfVNCh2x\ngXxv8g2+25Rvf3DgpFAhxBXAscBewCJgMlAlpdzbZdsjgdXAG8BK4GTgRmCElHJO8zYS2FFKOTX0\nSaUcr8IDjbOmez8pROEA3WvEhJGFNFRRCtPeXAuNTsJEgJJ6n9IiR27ETWsM81mpW7KC8q6tL5g7\n35+FspQr7nuSOfMX89INEyiq7sKjr7zNsVfdxgG7bMs5xx/BT/MX8ZvbJ1NVUc6he+9GXUMD3/3w\nE3vvPJri8g5M/OMkdt1uK268/HyKi4s5f+JNvPPhx9x05QXsfMgJlJT4xw9WrVrF0KFDWbRoEc8+\n+yx77bUXkLnIZvoYveSl5BjBMYKTjxRSRTUvsXESRXTeeOIhpj7/GFc++AJCCJYunM/X77/Jx++8\nyZyZXzJgw+EcfNoF9Ow3gFsnnErHzl3p2a8/rz7+EL++4890renJ7845ge69+zDv+9lsss12nH3V\njfToWOF7XEtyAJYvW0qHjtUtqQmQWsmZDUyUUt7f/PcGwExgfSnld0HtEEIsAE6RUj7T/Hf7lhzN\n1dDSOG8l7kA7XyM12SIN0tPqGDkQIF3lw8MKjkWQ6Hzw41J2Oe9aVr44idIu3Vi9po6n33iPdz75\nkrc++pyBvXtwwUlH8svttuSSm+/hw89msN+u23P7lKe4+MQjOGLsLzn6suspKhbMm7+QqspKnrv3\nVrpttrNye1euXElpaWmrogMplZy87mNSk66mSnsXHCM3+Um+p6epSo3X88LIzsjtd+H1Jx7gsvE7\nsPjnnxix1S/YdIfdOPSMCfRvnnfz+tOP8NuTD2PzHXbl5P+7nrLyCgYN35iLjj6Amx7+G3c+8xpf\nf/4JdbW1bLrtLxBCsLi2oU1xCjur6htbRKdT51RcGa0RQnxo+3uSlHKS9YcQojMwAJhm3Sel/EYI\nsZxMusB3fjsXQmwKdCeTUmDnCSFEKfANcL2U8ulYZ5F2NEVrLKJOqM4Wfse3Bt262piU2NgHtNnE\nOXh2w3nOftITZj5PVPw+jzoFKGy0MugzpvrZifJZ2HhQP3YftREjjruUOfMXs8NmI9h9m005au+d\nufvS0wB455P/MWyvXzGgXx8evvFK+vXqwdidt2PkfsdSXFzM3+6YyBczZzN3/gJ22nEHOo7YPlQb\nOnbsGLrdCVDwfUxeSU425t+AERyDXpISnGxEcaLKjdt+VEWnR78BXP3oP/n3P57m3b8/xc4HHsmn\n777B8/fdxkW3Taa0tIzPPniHzbbfmTN/d1vL8/oPGYYoKmKD4SMpLilh+GZbttl3kOhkC1FcolL9\naGHAVTZr9OTMZV5qe8z9+EL0BJ4EbpBSfm176JfAO83/Hwc8LIQYL6V8KaixhYjq3IQkxEbXHJEw\npE1uciUzXri1J0h84kiPCnHEyO1zG0Z8os7tSiJ647zf/r40LF/e6nWvql/FC9dewIczZnHstZO4\n6JA9eeWTrzj88pu44+JTqCwv54tZc6iuquTvN11KWWkRAMPW748Qgm02HUFRUREjh67PyKHrUxxS\ncLKB6WMy5I3kFJLghCVJuQEjOEmRZPQmnwTHvj9V0SkqKmL7sQez/diDARi161507dWHq44/kOKS\nEm597i3OGbs92+y+D9vsnkkN7jNwA3qtN4D3pv6L3fbcx3PfaREdDVg9fGfH/V0Az5GCEKIv8CqZ\nCaSX2R+TUr5m+/MxIcQvgSOBdiE5Sa/Q7kZcIQjzfJ1CFLUNXqRNaFRxtlun9Kjg9TmLKj9BkZ84\nRSt0RW9Az+dlq2Hr8/kD1wIwZuuR7LDZCI769a3UN6xlwasPccntD3LN5Ce5+tQjWn4bDtlrF/72\n+jtsMWJDAIo32iV2O1JM3vcxqZecbKWnQfYEJ0wUx0Rv8pP2mp6mut8oc3X2P+k89jn2DC7cZ2su\nPHA3dj3gcDayVVETQnDqb27ikduupaJDR7bfYSdt7U4jUsqlQojvgVHAxwBCiMFkrrD91+05QohB\nwGvAM1LKCQqH+MAHRgAAIABJREFUaQK05IinFV3V0HRdnbYIGsSppE7paIcOdAvMmkW5nd9T0d1b\nTPzO1e090/GeuIlSEoUrdM21sQh77mE+R0HRnKZli9qc9wFbj2DZC39ij4tvZuB+J7PLliM5euwu\nrbaZeOLBHPV/t7JezxpO+c1NodqfbxRCH5NqyWnPgmOiN/lL0oKTdBQnKcFxHiOK6JSUlvG7J96g\ntKycnt3aplVstNV2HHrmRdx+2Vn0e/QlBvbr67ofr2iOfV5OnjAJuEQI8QaZyjfXAy+7TQgVQgwH\n/gk8IKW80uXxkUAVmc5MAmOBo4HDE2t9CokrNBA8eNMx6I+7jyiSpLsNTnIlL3VLA4SyS+vXyqud\nfvIDyYgrqMmC7jS5qCQpNirHDhIdgKd+cwaNTU1069MXIVqPv9fv24uHf3sBO558GSP3OJDtt09f\nqppm8rqPSa3kGMFJBiM3yZGN6E0hCI7zWGFlp7pLNyDzWnSqaCsqm4zekZHb7sAHr79El0OPoXN5\nCn/mRLHratoRuA7oCnwAlJNJETgKWsp53iOltGa4XgL0A84TQpxn28epUsqHgR7AHcAgoJ7MpNAT\npJR/09HQtJK01IQZpMUd5AcNsu1kMz1Mt7wESYlu3I7nFB9QP0+v90nXe6IrYqQrvTGJSKbqPqKI\nY6cOlQDIlcuQtJ2nNKhvTy4+5kAmT56cXskxfQyQUskxgpMMRnCSwwhOvONGieqAt+gMGbkFs77M\nFHRZVrfWVXTCzM3p0DzxNG1IKRvJLL7WJi2guVN52Pb38cDxPvt6A9g4gWbmFUlFabIRpYh6DFU5\nysY5ZFNgVi8KsRAsUNV93djEq51u8uNE1+sYVZZUB/7ZSm/MpnCrRnPsWBdC7LKz9UZDeGRSYRee\nhPzvY1IlOVHkBrJbIhqSLTKQFEZw9JLtOTdJCk6u5MbZBp2is3Thz9TV1rb87SU6BkNSURqVgWzS\nA3qVATckLy9JnGdYQYnCmiVrqOi6bn0t5zHt0mMR9lxV3yM3VN43NxHKZapjtgtMuEVzoogOtJad\neYuWsGpV8p9BQzxS0+vng+BElZtcRnGM3Oghl4UECl1wLHSKzteffsReh7e+oOQmOgVUac2giSQi\nNXEG+dbA2m1AHUS207p0kA15sVizZE3obfykB8K/T7rfI9X5Q07SmuqYLVRFBzKy8/5Hn3HwwQcn\n3CpDXFIjOVEwguOPEZxopKkyWnsRHAtdojN81LZ89ck0tt5tr1bbmIiOwUk2pSbOAD7u4D+KJOlE\nt7yoCEpUal32XdksN37SA8lLWtD76CdNflGjKNG8MGKUS1SiOdA6qhskPL8YuSF3vfWevkYaEiFv\ne3sjOP4YwQlPmuQG2p/gWMQRHYtBQzfilccfanN/FMFJYj6OLCpClud20GlwJ0oKmk6pUR28OwfX\nQWQzQhKXJAXGjpvMqGxbaXvtg6RHN2HeR6cQRY0aeclRkBilXYLcRMfCEh4v2dlkcH8+uu1h18fS\ngOljMuSl5KRdcHK1Do4Rm2gYuSk8vpj2HhtuOipwO2eqWp6VjzZoQKfUgPcgVPfAPc7+kh6Iu5GU\nuIQRlcB9LVzt+3hlTVWbY1Y6XstsCZobqlElnSl1uqNDQUQVp6iV1rxkZ+qnMxg9erTbUwwpIu8k\nJ1uCk3T0BvQITrbFxi4E+Z72017kJh/FJm40p6bPejxz723sMu4wevbrD7T9vJq5OAY3dEVrVAa7\nOgfozsG2H7kciKug83XxPEaA0Cxfve73uFNVaZvnuAkPhHsf3J7vRMf7qjulTleVuShEXaPIC79o\njh1nKltN52reffcpXnnlFcaMGRPp2IbkyatRapoFJ4zcQDzByabY+ImA87F8kZ40yY2J2ngTR3Qq\nKqvo2rM3XWp6KD/HLYqT1tLRBn3onFvjNsjMxoA9znHCDsrjkgaBccMuNX6P+QkP6D8/He+r7hTI\nqFXmkhIfaP099iut7bWGUJg1gZqWLaITDZSVlTF8+PDwjTVkjfwYlZIdwcmG3EA0wcmW2MQRgHyQ\nnrQIjpGb5Jg35zse+eO1XPXnZygrz3TaQVEck6ZmsHAbnIWN1rgNTKMMvONgH3j7kS0JC0vSr5ef\n1Cyoa9tH9ygvbvO8IOHxIolzcx7Xr3iCF2EifGFLa0P2xScMVgESFdlZXVfPibc/yl133cOAAQOS\nbpohBukbhWogrdEbUBectERrdO43l9JT6HKTC7FZvDL4mN06xisgECaaU1y/mmcf/gvvvvwc4044\ni/UGb+jepjQsACqKaapIR+fe3kkyWhNnMOs2CLcG1SpEPbaqHOkgm+IXVmoAFtc30q35Aoh9G6fw\n2N+XbMts0HF1R5lUqsypSg9kX3yC5ubYqy06haexqYn7X32fv3/4BaM26M9BBx2UWDtjY/oYIE8k\nJ0wUJxuCE0VuIF2Ck4tBv98xkxKgNMhNvkdtVGRG5blRhUdVdB688SpWLF3M2KNOZsex6zqfoM+W\nieIYnLgJjo6ojd9AW4Wg54eRIC9yNUgPIu5r54af3Dj/3832O7GgrrFFdOxtC/P6J3E+bsd3vp9x\nJdb6vPsVXPCbA6RS9CDuPB8rdc0vbQ2CFzV1lpe//93PeOiNDzhm1605YqctlNpiyC2pl5wkBSdb\n0RtIj+CkYdDvRlrbFYd8jtrEERuVfcaN8Ljx1ScfcuEt99F/yDDPbVTT1MxcnPZLmEnZXlfGK2uq\nXGWhU1VpIoNbiyiD7faKl+BARmjsotMtTy6EuKXSOdElPV6yAxnh8ZrfEybK4ySoBHbQQqhO6XFW\nVgySnvc+m8lpu27JEduPpLSqMqi5hhSQaslJk+BElRtIh+AUokSkFSM34Y8TJD1B0ZwHr7mEpYsW\nUFzS+ictjfPCDO0b++AzKeExshMfp+jYsUdxopCk6Lodw+9zoJLm5kdQZCeomEHYKI8fTgnykx63\nKI9XOfnyrtXc+/qH/P3jGYzbKlNooOqQi2O11ZAdUjsCMIITHyM22SOfU9KyJTZBbYgqOt98Oo2v\nP/6AccefQd9BG3g+P1XFBoqKkGVmobZ8IUrVNK9ojp2khWf56gYjOi74RXHs5EsEJwhV4bETVn6i\npLE50Sk80Fp6wgqPnRkzf+C5/3zObkMHst+o4XQ+8Xex25Y4po8BUiw5KqQ5PQ1yJzhGbrJDkmJj\nkaTgpEFu7KiIjp0v/jOVlx66m5+++4aDzryEX447uNXjflEcP8HJp1Q1IUQxcB1wHFABvAKcKqVc\n6LH9XsDNwGDgG+ACKeUrtseHAH8CtgOWALdKKW9O8hwMGazBp27ZKRTRSTrVT5V8iOKoHj/K58KS\nn7CyA9GFJype6/kEpbVZzF7bwM2v/oe3vp7DaTttwWk7bZEfgqORfO9jUik5UcpFB5HG6A3oFZyk\n5cZtUN+pIv87z7AYuckd9mjOG08+xIDhIzn7lsmUlpVTVOQtJwW88OelwDhgW2ARMBn4C7C3c0Mh\nxGDgaeAU4HHgEOAZIcTGUsrvmjuz54F/AvsDw4GXhBA/SCkfy8bJ5AtJll1OIrpTKKKjA9Uojhtx\nBSdtxBEeFdnxK1kdRnii4hUZ8hMeO8+9/wUrV9byr1PG06tfD3pOuC2RdqacvO5jUic5qoITJoqT\ntuppFnEFJ1sRG79BvfOxQpWebIgNGLlRTVvrVlHMwrnfs8N+h1JaVt5mm/YQxWnmFGCilPJbACHE\nxcBMIcQgKeV3jm2PBaZJKac0//2wEOK05vuvBnYCBgKXSSlXA9OFEPcApwHtQnLCVFVTQSVlzY+k\nojuG3JDm99HZtrBpbW6y4xfVsRNWeKIsbmp9t51pcH7zeL5fuoJNenenc0V5exUcyPM+JlWSk2vB\nyVb0BqIJTjbT0KIO6u3Py3fhyZbYQHJykw9i40RFdKY+/zhV1Z3YdIfdA/eXx1GcGiHEh7a/J0kp\nJ1l/CCE6AwOAadZ9UspvhBDLgU2B7xz728y+bTPTm++3Hv9KSrnS8fiZcU7CkA5MNCe3UZw0CY6z\nBLYbYaVHRXZA74KkQbgVPwia92NJz6fzl/Cvb37g9VMPZMC1f9bWppRR8H1MqiRHhSQjOFEIKzcQ\nTnDyQWyC9pdvspNNuYFkozfdOpblpegE8a/nHmf8qechhMh1UyIhESoXdRZKKbfyedyaLbvMcf9S\n22N2qj223Tjg8eAlwNsRYVPV4kZzQN98FCM67YcgoXNb3NSPsNXagubsQLDwqOBZxt22b69IkZ/w\nPPPVbI4cuQEb3/Jw7DbmAtPHZEiN5CQxDycMYaM4ScpNPouNyjHSJj3Zlho72SgLnW+i4xfFkVLy\nzwf/yIIfZjFs1Gitx83DVDUrz6Kz4/4ugNtM2hUB2wY93u7QeVU5LaRFdKKUuY4je4UaxYlzXs59\nqJ6nynsXJDsQTXhULzJ47durtLVdeF6YPZcXvp7D2x86gxLtjrzvY1IjObpJMk0t3wUnl4N6v+Nn\nS35yff6QHbmxk2+i48fUJx7g5Fsecp2LkxSVJemLGEkplwohvgdGAR9Dy8TPTsB/XZ7yCbCr474t\ngNdsjw8VQnSQUq6yPf6J7rbnK1ELDqQpmpMG7OcRt9pX0qS12IAOufHbp67ojorsgLeUqHzn3L5b\n9uO5zQ3ymwf0zKwfuPYPtzFy5MjAYxcyhdDH5JXkhC0ZrUIYwYkiN5AOwUnDwD6IJOQnbeedbbmx\nkw+iEzQXRwhBn8HDqK+NNmDM6do4yTAJuEQI8QaZyjfXAy+7TAgFeAi4SAhxBPAkcDCwJXBM8+Nv\nAbOB3wshLgWGAacC5yZ6BilBR8naNOE37yIt0RwnSQlPVCHQITi6xTSO3Lgtbuq1FlBU4QmSHQgn\nPJ7bBFw0cDteUHQHMsKz/eFHsWpVYf0exCCv+5i8khxVVKM4aRGcpOQmbQP8qBTKeeRScCzyQXT8\nkFIiiopYvmg+382dR5fyIrrU9Iy932ynqjVJbRdtrgO6Ah8A5cCrwFEAQogjgXuklB2hZcLogWTW\nMJgMfAuMtzorKWWjEGI/4B4yndlS4EYp5aM6GmrIHtYANY2iozro1yU8YaWg0CI3bmLj9XiQ8OiQ\nHQgnPF7PczumHfvx3aJJXpXfNnv8HxSddx4//vgjtbW1/PDDD2y44YbKbUwLpo/JIKRMfnJ+YCOE\nkMtXBVi55oIDSQtOrqI3hSIEhUQa5MaNNMpOUCSnfk0tNx8zho13HMM309+ja/caJtyd+X20R/zs\nJaTt1dW8Ijl+kmOlqvXq0hEppZa8tc23GCVfefNt3216dek4LWBSqCEEQgjp1t99fXpmEVlnJMc5\nH0fH2jhxU9YgWBLcBsN+g9Nsik620+3CiIEOuXG+ljrON4rcBIlNEF6yYyfM66X6GXOtzBZCbMIc\n33msyq4VbPvqGwCMGTOGkpISysrKeO+995g1axZVVeoyFhUhhOljNJN3M22D0F1RLSnBWVa3Vpvg\nLF/T0HLLBmkdtKeRNL9WQUKRbVTaU1ZRyTn3PsfyhT/TuWcfvv38IxrqCm9yuCF96KgEVVlTFerK\ntRtBA0bn4DMtgqODTlWlodrsd+49yotb3XS0TeW+sERpm4qkxCEJwUmS5asb2khR7cLVrQTKfhHj\nhRdeYMSIESxcuJD6+nq+/PLLrLXVoJe8SFdTjeLoTlNLUnB0kA2p8RqkW/dbq88bWpNmubGTj+lr\nHTp344j/u5U/nX04B599OaXl8QafKlEcQ+FjLyG7etGqVpOR1zhSW+JGdVRFx+sqdlDEII7YxJUw\nv2iV/dhx0tHctve6sq8r/SzqYN3reWEiEUHn4BbtcROdMHNyVI9tEfb1Uf2ctcyncXyuoiyU6/aZ\ns+/3H4M2Y+/vPqGsrIybb76Zk08+mQ033JBRo0YpH8OQLvJCcnSSlOBkMz0tCbmJOii3P88IT/7I\njZ00iE6YqFLtimU89vsJVHfvya4HHxP8BIPBB/sK59ZCgJbwWClsTuGJG9VRlSTV9B0veXB7XOUY\ncWg170FReHQQRSZyGWXwO3bYNDcvEXHKj640tDCvm67Pl1eFwqhVB93mDi1f3cBjPTfiwLmfcPHF\nF/P222/zwQcfRG+0IecUjOTonocThmxFb3TLje4BeXsXnnwUHIs0iI4KC77/lgevOJXho3dl71Mv\nytvFQJtkdhYrNoTDEh6n7IC78FiEXU8nSJL8JMg5aPS6wu17fM1io3KcOPORfNdaCdhvNkQmTvvc\nCNvmsFGsMIUEkhYav++C83ugM6pj4XzOqqZGNuvQhYG778S7775LdXW1xzPTjeljMqRecpIoGx1E\nmChONgRHp9xkayDeXtLZ8llsnGRLdOLMBfr73deyzdjD2Onwk0I/163ogElVM1R0X7fY9ppFmTXp\n/KI70LZIgZv4+BEkRV4DPzf5CZIet22iHFuFqHIWR7p0CUZS4hdYLllDMYqwUSEvuYlTIMB3+4if\nKa/0UN1RHYsFdY38fc1CKmUxe7/zDd26dYu8L0M6SL3kqKAziqMqOEmnp+Wj2AQdu5CEp5Dkxo5u\n0dFZ3GDBnFnM/epzjrz6Dm37NBjsRBEeJyrr7fhJkZ8AOQeLKtLjh45iCn77CyM9SZCtiFUcdLQx\nqbTAbMmMk4quFa2+B5VdK5SjOlGwIltrpWRqwzLOq+rP0oYmJlYO4de1M2Pv35A7Ui052Y7i6BSc\nONEbHYKTxkG4s035Jj1pfE2TIIzoZLNCW3FJCbKpkbX1dZSWlSs9x14+2mBwo7yrTWKWrGj5v5/w\nWLLjhp8AWfiJkJcAuclPKKnQLDQqhF25PmgfYdBR8tuNsO1Jqh124kaLsiHGYaOdbqIDwVGdsNEc\n+7ylxfWNFEmY39BAv6JMtMuITn6TaslRQVcUJw2CE1du8m0Q7tbeNIlPvr2eOklbeWmAbn36M3y7\n3XjnyQf45XHnKD1ncW1Di+isqm/0XCcn2zRJmdgcQUN0VIXHHt3xIooIhZEfFekJS9iBqBPVKJRr\nBCrhqFKuSLIdcQpYBD4nQrvjfn689pdUVMcSHKvqXIkQ7FDSlTfXLmEfsW6R6fNL1ufWtbPCn0AO\nMX1MhryXnGySlOC0N7nxo5DOxaCfUWMO4PHrLm6RnIWr6lvEePmahpYFQZfVrW21IKgXqxqafOfl\nGAqf0k7rBKZh+fKW/6sID6yL8jjxEyEvAXKTHy/xiVoAQfdA1GvfYdLuoh7DSdgCEPmOjqhS2H3o\n/Pyopn2qpK/BuqiOSjTHKTgASxoaGSArealpIauLGqkS6y6K5aPoGNqB5OgyWdU5OGFIu9z4pSyl\n8Uq/ofB54+G7GTJqe6SULZXVvETHImo0p3atNMUH2hl24YF10mMXHvCXHiduEuQmQEmJT65QFR7V\nfSSxfZKkUbhUhSbq66iSqhl2X/aqhirpayo4BWdJwzrR+VAup4YyKmh98csITn6S15KjqzxelEU/\n3QgTxYkjODrkJu7kcrfnG/ExJM1Oh53M87dP5M+XnMghl15Pdbcentvaozl+omOiOe2bos7dW/7f\ntGxRq8dUojwWdvGx4yVBTvlJSnxU0DE4jZtqlyZB0UGhnY+FTpFRPZ6zfLtfVMer8pqFn+AAjBAd\nmCfreLjpR/750X/YfPPN9ZyIISekVnJyUTraC51parmUm6TLAxvxMSTNhlv9gnPvf4HXp9zFXWcc\nwjHX3E2fDUYopa1FieiYaE77wi480Fp6vKI8Fm7iY+EmQCppb3HFJ5v4ldh2EkUAcnl+cQQyn4j7\nGqvMVVPF/jm3iw6oRXXcUtaCBAfgoca5SCn561//yh577MF9993HuHHjNJyRIRekVnKyhY4ojorg\n5Epucr3AoxEfg26KS0rZ47hz6TVwCPdPOI4z7nqSbn36t9pGRXTsZDua0yj1RZAN8Siq7tLy/6YV\nS1s/FkJ6LJzyA2qRnzhzffyKHOQC52A5iiTkWtrsqLbF7zzTdD5R0Skxqsdylm33Sl8D77k64C84\nzlQ0IQRHHnkkQ4cOZfz48ZSUlDB27Ni4p5RVTB+ToaAlR8d8nKAoTpDgRJWbfBabIIz4GHSw6a5j\nmfv1F7z37BTGnn5Zq2gOBBciaC9pa0KIKuAOYDwggKeAs6SUtR7bHwOcBowAGoEPgIullJ82Pz4I\nmAWsBqyc4aVSyvWSO4vsYBceCJYe8E9xsxMU+QmSHohW5CBbqFaT8xKBMBKQ5PnGEcZ8FRmdr2fQ\nHDUnXp9pi/Iu1Z5RHbf0NQguQOAWwXFj66235pZbbuGGG27IO8nJJmnuYwpacuKSb4KTdrnxw4iP\nIQqj9/8Vt582nm33/xU1/Qb6io5F2LS1AkhZuw0Y3nyTwLPALcDpHttXA78B3gXWAr8GXhFCDHZ0\nWsOklD8k1uosUdwsLo0OWYFg6QE18YHw6W4qKW4QPEjMFm6LproRRQRyEUFwI5cRszSIrEVYkYm6\nL6/1qfzS16xojp/odC0tbiU6fpXTxo8fz4UXXshLL73EXnvtFeEM2wWp7WOElHom78dqhBBy+arW\nE8WC5uToWB8nKJQXR3KiCE7a5Gb+ijrPx3pWqy3GmBaMMBUei1fW061jGe//7RHeevx+zpn0LOVV\nHdustWSXHHs0x562Zhcdt2hOZYmgV5eOSCm12M6ITbeQD73wuu822wzsNk1KuVWc4wghKoHFwL5S\nytea79sdeB7oJqUMLE0khOgArARGSSk/sl1l659PkiOEkG79XeMXb7a9z0VS3HCTHtftFPbnluZm\nx6uwgRdpkZ+oYpCmQb0XOqUnreerU2ii4PwcO19zZ2TQkh0rbc0qQrB8dYPSnBw32Zk6dSrjx4/n\nrbfeYsSIEVFOQwkhhOljNPcxBRvJiZuqFjeKE4ZcyI2fwER9fprFR+W1MiKUP1jv5+KV9Wy7/xF8\n8/G/ef/5x9jpsBOV09ZyOT+nsUmqFDSpEUJ8aPt7kpRyUshDDQMqgGm2+6YDlcBQ4L8K+9idTNqA\nc9nv94UQZcDnwFVSyjdDti21FDuiM17SoxLpAf+5PRZRCxuEreoWlajSpBrhcW6bDxTSuen6vPgV\n4AjCL3rpF9WBtnN13CI6dhbXN7aJ6IB7VGeHHXbgoosu4uqrr+bRRx+NfH7ZxPQxGQpWcpJEZ5pa\nFMHJpdyE3XeaxcdJ1Nc17XLkjGzYycfFV93ep12PPI0HLj2Z7cYfRWlZ289c2Pk5TnSVqw/JQr+r\nbEKIB4BjfZ5/DfBy8/+X2e63/h84qhFCDAXuAy6UUlojkIXAdmQ6slLgBOAfQohtpZQqHVq6qLS9\nDLXuA/k0So9FmHLWcYiyHpCTbA30dbQ1LGmRmGxHXuJITdC+3NajUpEdP9FZvrqBHuWZ33o/0YHW\nUZ3TTz+dwYMH8/XXX7PhhhtqO+ccU/B9TColJxvlo/1S1fzsV5fgZFNukhSbKMfOJ/FRwf6+pEl4\n/OQmzDZRSEKevD7/i1fW02eDEfQZMoLpLz/Dtvsd3iaaA+Hm5+RJEYKzgAk+j68mcyUNoDOw1PZ/\nAN+RnhBiI+BV4CYp5Z+s+6WUK4F/N/9ZD9wuhNgfOAS1q3bppdLRJ+dIekCtoEEY8fFDhxSpVofT\nSdQBvf15aUnrUyWX6WM6hSbM8cLKThjRseMnO9XV1Zx++unccMMN3HvvvZrPNLXkfR+TSskJIkdX\nVbUITnuRGz+c7Sok6UmL8CQlL2GPr0t2VL4Duxx5Go9fexFb7XMwxcUlrqJjobJ+TtpFp7kjWOm3\njRBiBrAGGAVYCdpbALXAVz7PGwW8BPxWSnm7QnOayFTVyTtkeQdEnUfpX4UoD0SXHtAb7bEImt/j\nJOwaPyrolJ4kB/ZpFZ5cyYxOkfH6fAbhlarplB37+2WvwhZGdBbUNdKtrLglqgPesnPFvA8YOnQo\nV111Ff369Yt0bvlEIfQxqZScytIi32hOZYlITHS8oji5EJwocpNWsfGjUKUnLcKTS2o6lGUtJW7Q\nyC3pXNObT9/8B5vvvp/rNmHn5+Q7UspaIcQUYKIQ4rPmuycCD3lNCBVC/AJ4AbjELT9bCDGaTMf3\nJZk+5BhgZ+DyBE4hK8jydRW/lIQHtEgPqIuPahU38B9c6hKgsPLjJz25ntxukQvhKQSZgehCE7Qv\n++fVKTtuUZ24ogNtq69ZXNN7awY1NXLzzTdzyy23aDvffCbtfUxqq6tB/AprfsUHvNLVoqaqBUmO\nEZz4FIL8ZEt2ch3JcZJ0RMd6Xb/6YCov3PFbzp38d3p1qnLd1q3amkqltUE11doq32yw8Wby2kf+\n4bvNYZv1i135BlqtYXBg812t1jAQQlwOHCml3Lj57zfIdCjOH+W9pZRvCyGOAH4L9CFzBe8LYKKU\n8tW4bU0Sr+pqa3+c4f88L+lx4iM9bqhWcLPQWcnNi7AC5CSJuUBpJKoAJSk02Uwl0yk0qrh9Np2f\nN/v7YsmOVZDAr+oarFssFNZVX4O2UZ0Vci1Tmn7k27lz6Nu3b7ST8UBndTXTxzS3Lc2SA/FEJ2oJ\n6SjRHJ2SE1ZwdMnNopXR9tO9Y7rlI41ylLTspE1yQO88Ha8omZSS+y48hh32Gc+O4w5v87w45aTz\nVXIMGbwkp37xjwAUrVEboCclPXZyUcLajbjSA+1HfCysgXYhCI0umXGLQqrg9rkNkh0/0YGM7HiJ\nDtCmzDS0FZ23mhbTgOS/TXqjffkqOWkmlelqdiqbBxlesuOXutahtCh2Kem0E1dwoopN0D7SJD5B\nr1EuJMha4yUp/Oaj5Aqd83S8XjshBIeedQn3XH4m2+55AGUVFS2POYsOBGEXnDxfDNSgQFNF64Gj\nl/TYU9sgRHobKIuPM93Nwik/cVLdIFh+VCu8+aGyyGnSlHetztpxdctNNoRGZ2QmqtD47cv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sOiS3TiUtOzF0+8/j4P3X0bB+2xAxNvuj3XTWqDlHIl4DuhRAgxg8xVslHA6813bwHUAl+pHqr5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\nqJGzghGRRuD7QBdwnjGm3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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "gs = gridspec.GridSpec(2, 2)\n", "gs.update(wspace=0.1, hspace=0.15)\n", "fig = plt.figure(figsize = (14,10))\n", "levels = np.arange(-1.0, 1.01, 0.05)\n", "\n", "# SLP Pattern\n", "ax0 = fig.add_subplot(gs[0,0], projection=ccrs.PlateCarree())\n", "x1, y1 = np.meshgrid(lon_slp, lat_slp)\n", "cs = ax0.contourf(x1, y1, U1_norm,\n", " levels=levels,\n", " transform=ccrs.PlateCarree(),\n", " cmap='RdBu_r')\n", " \n", "cb=fig.colorbar(cs, ax=ax0, shrink=0.8, aspect=20) \n", "ax0.coastlines()\n", "ax0.set_global()\n", "ax0.set_extent([-180, -70, -19, 19])\n", "ax0.set_title('Normalized SLP MCA Mode 1')\n", " \n", " \n", "# SST Pattern\n", "ax1 = fig.add_subplot(gs[0,1], projection=ccrs.PlateCarree())\n", "x2, y2 = np.meshgrid(lon_sst, lat_sst)\n", "cs2 = ax1.contourf(x2, y2, V1_norm,\n", " levels=levels, \n", " transform=ccrs.PlateCarree(),\n", " cmap='RdBu_r')\n", " \n", "cb=fig.colorbar(cs, ax=ax1, shrink=0.8, aspect=20) \n", "ax1.coastlines()\n", "ax1.set_global()\n", "ax1.set_extent([-180, -70, -19, 19])\n", "ax1.set_title('Normalized SST MCA Mode 1')\n", "\n", "\n", "# EC1\n", "ax2 = fig.add_subplot(gs[1,:]) \n", "ax2.plot(dates, a1_norm, label='SLP')\n", "ax2.plot(dates, b1_norm, label='SST')\n", "r = np.corrcoef(a1[:,0], b1[:,0])[0, 1]\n", "ax2.set_title('Expansion Coefficients: SFC = '+ str(round(scf[0],2)) + ', R = ' + str(round(r,2)))\n", "ax2.legend()\n", "ax2.set_ylim([-4,4])\n", "\n", "ax2.format_xdata = mdates.DateFormatter('%Y')\n", "fig.autofmt_xdate()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 5. Summary\n", "\n", "The above figure shows the first MCA mode calculated between the monthly anomaly fields of Sea Surface Pressure (SLP) and Sea Surface Temperature (SST) for the region of the equatorial Pacific. Mode 1 explains a large portion of the squared covariance (93%) and shows the strong large scale coupling between SLP and SST anomalies (e.g. areas with positive MCA values in SLP appear to coincide with negative SST). This is what we would expect of the El Niño Southern Oscillation (ENSO) - High SLP anomalies in the western Pacific is typical of the warm El Niño phase, which results in warmer SST anomalies throughout the equatorial Pacific. The opposite La Niña phase results from low SLP in the western Pacific.\n" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "## References\n", "\n", "Allan, R., and T. Ansell, 2006: A New Globally Complete Monthly Historical Gridded Mean Sea Level Pressure Dataset (HadSLP2): 1850-2004. J. Climate, 19, 5816-5842.\n", "\n", "Kaplan, A., M. Cane, Y. Kushnir, A. Clement, M. Blumenthal, and B. Rajagopalan, Analyses of global sea surface temperature 1856-1991, Journal of Geophysical Research, 103, 18,567-18,589, 1998\n", "\n", "Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, Édouard Duchesnay. Scikit-learn: Machine Learning in Python, Journal of Machine Learning Research, 12, 2825-2830 (2011)\n", "\n", "Stéfan van der Walt, S. Chris Colbert and Gaël Varoquaux. The NumPy Array: A Structure for Efficient Numerical Computation, Computing in Science & Engineering, 13, 22-30 (2011), DOI:10.1109/MCSE.2011.37\n", "\n", "Fernando Pérez and Brian E. Granger. IPython: A System for Interactive Scientific Computing, Computing in Science & Engineering, 9, 21-29 (2007), DOI:10.1109/MCSE.2007.53\n", "\n", "John D. Hunter. Matplotlib: A 2D Graphics Environment, Computing in Science & Engineering, 9, 90-95 (2007), DOI:10.1109/MCSE.2007.55\n", "\n", "Hoyer, S. & Hamman, J., (2017). xarray: N-D labeled Arrays and Datasets in Python. Journal of Open Research Software. 5(1), p.10. DOI: http://doi.org/10.5334/jors.148\n", "\n", "Bretherton CS, Smith C, Wallace JM (1992) An intercomparison of methods for finding coupled patterns in climate data. J Clim 5:541–560\n", "\n", "Frankignoul C, Chouaib N, Liu Z (2011) Estimating the observed atmospheric response to SST anomalies: maximum covariance analysis, generalized equilibrium feedback assessment, and maximum response estimation. J Climate 24(10):2523–2539. doi:10.1175/2010JCLI3696.1\n", "\n", "Wilks DS (2015) Multivariate ensemble model output statistics using empirical copulas. Q J R Meteorol Soc 141(688):945–952" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.13" } }, "nbformat": 4, "nbformat_minor": 1 }