{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%load_ext load_style\n", "%load_style talk.css" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Compute and Plot ACW - Hovmoeller\n", "\n", "* Hovmöller diagram\n", "> A Hovmöller diagram is a commonly used way of plotting meteorological data to highlight the role of waves. The axes of a Hovmöller diagram are typically longitude or latitude (abscissa or x-axis) and time (ordinate or y-axis) with the value of some field represented through color or shading. Hovmöller diagrams are also used to plot the time evolution of vertical profiles of scalar quantities such as temperature, density, or concentrations of constituents in the atmosphere or ocean. In that case time is plotted along the abscissa and vertical position (depth, height, pressure) along the ordinate. The diagram was invented by Ernest Aabo Hovmöller (1912-2008), a Danish meteorologist, in a paper of 1949 (https://en.wikipedia.org/wiki/Hovm%C3%B6ller_diagram).\n", "\n", "* Antarctic Circumpolar Wave (ACW)\n", "> The Antarctic Circumpolar Wave (ACW) is a coupled ocean/atmosphere wave that circles the Southern Ocean in approximately eight years at 6–8 cm/s (2.4–3.1 in/s). Since it is a wave-2 phenomenon (there are two ridges and two troughs in a latitude circle) at each fixed point in space a signal with a period of four years is seen. The wave moves eastward with the prevailing currents (https://en.wikipedia.org/wiki/Antarctic_Circumpolar_Wave)." ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "## Data\n", "\n", "Sometimes, we have to deal with GrADS data in grd format, a kind of binary file, which is commonly writtern in Fortran. Through the corresponding ctl file, we can get some basic information such as variables, time, units, etc.\n", "\n", "If you are not familar with GrADS data, there are some libraries to convert them into other formats, such as NetCDF format.\n", "\n", "This time, we take the HadISST1.1 SST data during the period 1982 - 1999 as an example." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1. Load basic libs" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": true }, "outputs": [], "source": [ "% matplotlib inline\n", "\n", "import numpy as np\n", "import numpy.ma as ma\n", "from scipy.signal import butter, lfilter, filtfilt\n", "\n", "import matplotlib.pyplot as plt\n", "from matplotlib.pylab import rcParams\n", "rcParams['figure.figsize'] = 5, 10" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2. Read HadISST1.1 SST data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2.1 Set file name" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": true }, "outputs": [], "source": [ "infile ='data/SST_19821999.T42.grd'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2.2 Set up basic info from ctl file" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* resolution, number of years, undefined value" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": true }, "outputs": [], "source": [ "resol = [128, 64] # Resolution\n", "itt = 216 # Time series length\n", "undef = -32768.0\n", "\n", "ngrd = resol[0]*resol[1]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* lon & lat .. from ctl (lat in T42 grid)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": true }, "outputs": [], "source": [ "lon = np.arange(0.0, 360.0, 2.81250) \n", "lat = np.array([ -87.86,-85.10, -82.31, -79.53, -76.74, -73.95,\n", "-71.16, -68.37, -65.58, -62.79 ,-60.00, -57.21,\n", "-54.42, -51.63, -48.84, -46.04, -43.25, -40.46,\n", "-37.67, -34.88, -32.09, -29.30, -26.51, -23.72,\n", "-20.93, -18.14, -15.35, -12.56, -9.77, -6.98,\n", "-4.19, -1.40, 1.40, 4.19, 6.98, 9.77,\n", "12.56, 15.35, 18.14, 20.93, 23.72, 26.51,\n", "29.30, 32.09, 34.88, 37.67, 40.46, 43.25,\n", "46.04, 48.84, 51.63, 54.42, 57.21, 60.00,\n", "62.79, 65.58, 68.37, 71.16, 73.95, 76.74,\n", "79.53, 82.31, 85.10, 87.86])\n", "\n", "[X, Y] = np.meshgrid(lon, lat)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2.3 Load HadISST1.1 SST grd data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "> Note: use numpy.fromfile to read the file, and specify that the type is big-endian specifying in the dtype parameter:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(8192L, 216L)" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "var = np.zeros( (ngrd,itt) )\n", "with open(infile,'rb') as f:\n", " for k in xrange(itt):\n", " data = np.fromfile(f, dtype='>f', count=ngrd)\n", " var[:,k] = data \n", "var = var.reshape( (ngrd, itt) )\n", "var.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2.5 undef -> nan " ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": true }, "outputs": [], "source": [ "var[var==undef] = np.nan" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2.4 Weight by cos(lat) " ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": true }, "outputs": [], "source": [ "fcos = np.cos(Y*3.14/180.0)\n", "fcos = fcos.T\n", "fcos = fcos.reshape (ngrd, 1, order=\"F\") \n", "\n", "num_repeats = itt\n", "fcos = np.hstack([fcos]*num_repeats)#, axis=-1) # 8192*216 \n", "var = var*fcos" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 3. Calculate anomaly " ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": true }, "outputs": [], "source": [ "sst = var.reshape((resol[0],resol[1],itt), order=\"F\") # 128x64x216 \n", "sst56s = sst[:,11,:] # lat(11)= -57.21 ~= -56 % 128x216 \n", "sst56s_m = sst56s.reshape( (resol[0],12,itt/12), order=\"F\" ) # 128x12x18 \n", "sst56s_clima = np.mean(sst56s_m, axis=2); # 128x12 \n", " \n", "num_repeats = itt/12\n", "sst56s_clima_r = np.stack([sst56s_clima]*num_repeats, axis=-1) # 128x12x18 \n", "sst56s_anoma = sst56s_m-sst56s_clima_r; # 128x12x18 \n", "sst56s_anoma_r = sst56s_anoma.reshape( (resol[0],12*itt/12), order=\"F\") # 128x216 " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 4. Band pass filtering 3 - 7 months " ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": true }, "outputs": [], "source": [ "[b, a] = butter(1., [ 1/7.,1/3. ],'stop')\n", "#y = lfilter(b, a, sst56s_anoma_r)\n", "y = filtfilt(b, a, sst56s_anoma_r)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 5. Plot ACW Hovmoeller " ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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L+jop3DOkcMXXaQFNjo/3ZZkXsEISIbfBUiZfPxx6SVWbFpLEz4OFL5Zms8xLVnx+JVtz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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "im = ax.pcolormesh(y.T, cmap='seismic', vmin=-1., vmax=1.)\n", "fig.colorbar(im)\n", "\n", "ax.set_title('Interannual Anomalies along 56 Sud HadISST', fontsize=12)\n", "ax.set_yticks(np.linspace(1,216,19))\n", "ax.set_yticklabels(np.linspace(1982,1999,18, dtype=np.int))\n", "ax.set_ylabel('Time [years]')\n", "ax.set_xticks(np.linspace(1,128,8))\n", "ax.set_xticklabels(lon[0:128:16])\n", "ax.set_xlabel('Longitude')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## References\n", "\n", "http://unidata.github.io/netcdf4-python/\n", "\n", "Matplotlib: A 2D Graphics Environment by J. D. Hunter In Computing in Science & Engineering, Vol. 9, No. 3. (2007), pp. 90-95\n", "\n", "Jones E, Oliphant E, Peterson P, et al. SciPy: Open Source Scientific Tools for Python, 2001-, http://www.scipy.org/ [Online; accessed 2017-09-11]\n", "\n", "Hovmöller, E. (1949), The Trough-and-Ridge diagram. Tellus, 1: 62–66.\n", "\n", "Rayner, N. A.; Parker, D. E.; Horton, E. B.; Folland, C. K.; Alexander, L. V.; Rowell, D. P.; Kent, E. C.; Kaplan, A. (2003) Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century J. Geophys. Res.Vol. 108, No. D14, 4407 10.1029/2002JD002670\n", "\n", "White, W. B.; Peterson, R. G. (1996). \"An Antarctic circumpolar wave in surface pressure, temperature and sea-ice extent\" (PDF). Nature. 380: 699–702. Bibcode:1996Natur.380..699W. doi:10.1038/380699a0.\n", "\n", "Jacobs, G. A.; Mitchell, J. L. (1996). \"Ocean circulation variations associated with the Antarctic Circumpolar Wave\" (PDF). Geophysical Research Letters. 23 (21): 2947–50. Bibcode:1996GeoRL..23.2947J. doi:10.1029/96GL02492. Retrieved May 2015.\n", "\n", "Connolley, W. M. (2002). \"Long-term variation of the Antarctic Circumpolar Wave\". Journal of Geophysical Research. 107 (C4). Bibcode:2002JGRC..107.8076C. doi:10.1029/2000JC000380." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Python [default]", "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": "2.7.12" } }, "nbformat": 4, "nbformat_minor": 2 }