nbren12/latent_heating_product.ipynb

## latent_heating_product.ipynb

      
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## trmm.ipynb
{
 "metadata": {
  "name": "",
  "signature": "sha256:7e190237fed23d864d05fe020d5335303e6ca31dbdbc168110126e6b12479487"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "In this ipython notebook, I will show how to download and plot data from the Tropical Rainfall Measuring Mission (TRMM). The data obtained is the postprocessed gridded product made by Remote Sensing Systems (RSS) [http://www.remss.com/missions/tmi](http://www.remss.com/missions/tmi)."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "year  = 2014\n",
      "month = 7\n",
      "day   = 1\n",
      "\n",
      "freq = 'daily' # daily or monthly\n",
      "\n",
      "if freq == 'daily':\n",
      "    filename=\"tmi_{year:04d}{month:02d}{day:02d}v4.gz\".format(year=year, month=month, day=day)\n",
      "elif freq =='3daily':\n",
      "    filename=\"tmi_{year:04d}{month:02d}{day:02d}v4_d3d.gz\".format(year=year, month=month, day=day)\n",
      "elif freq =='monthly':\n",
      "    filename=\"tmi_{year:04d}{month:02d}v4.gz\".format(year=year, month=month)\n",
      "\n",
      "\n",
      "dirpath =\"ftp://ftp.ssmi.com/tmi/bmaps_v04/y{year}/m{month:02d}/\".format(year=year, month=month)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 70
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import os, os.path as path\n",
      "\n",
      "if not path.exists(filename):\n",
      "    !wget {dirpath}/{filename}\n",
      "    "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-07-10 15:28:20--  ftp://ftp.ssmi.com/tmi/bmaps_v04/y2014/m07//tmi_20140701v4.gz\r\n",
        "           => \u2018tmi_20140701v4.gz\u2019\r\n",
        "Resolving ftp.ssmi.com... 173.167.106.241\r\n",
        "Connecting to ftp.ssmi.com|173.167.106.241|:21... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "connected.\r\n",
        "Logging in as anonymous ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Logged in!\r\n",
        "==> SYST ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> PWD ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> TYPE I ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.  ==> CWD (1) /tmi/bmaps_v04/y2014/m07/ ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE tmi_20140701v4.gz ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "1745808\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR tmi_20140701v4.gz ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 1745808 (1.7M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
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       "text": [
        "\r",
        " 0% [                                       ] 4,104       11.2KB/s             "
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        "\r",
        " 0% [                                       ] 13,680      20.4KB/s             "
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        "\r",
        " 1% [                                       ] 25,992      26.2KB/s             "
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        "\r",
        " 4% [>                                      ] 79,192      59.6KB/s             "
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       "text": [
        "\r",
        " 8% [==>                                    ] 144,728     89.3KB/s             "
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       "text": [
        "\r",
        "10% [===>                                   ] 181,592     92.6KB/s             "
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       "text": [
        "\r",
        "12% [===>                                   ] 214,360     98.5KB/s             "
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       "text": [
        "\r",
        "15% [====>                                  ] 267,608      112KB/s             "
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       "text": [
        "\r",
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        "\r",
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       "text": [
        "\r",
        "23% [========>                              ] 410,968      129KB/s  eta 10s    "
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        "\r",
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        "\r",
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       "text": [
        "\r",
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        "\r",
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       "text": [
        "\r",
        "70% [==========================>            ] 1,230,168    190KB/s  eta 4s     "
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       "text": [
        "\r",
        "72% [===========================>           ] 1,271,128    187KB/s  eta 3s     "
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      },
      {
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       "text": [
        "\r",
        "76% [============================>          ] 1,336,664    189KB/s  eta 3s     "
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      },
      {
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       "text": [
        "\r",
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      {
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       "text": [
        "\r",
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      {
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       "text": [
        "\r",
        "87% [=================================>     ] 1,533,272    198KB/s  eta 1s     "
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      },
      {
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       "text": [
        "\r",
        "91% [==================================>    ] 1,598,808    199KB/s  eta 1s     "
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      },
      {
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       "text": [
        "\r",
        "93% [===================================>   ] 1,631,576    196KB/s  eta 1s     "
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      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        "95% [====================================>  ] 1,664,344    191KB/s  eta 1s     "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "97% [====================================>  ] 1,697,112    175KB/s  eta 0s     "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 1,745,808    195KB/s   in 9.9s   \r\n",
        "\r\n",
        "2014-07-10 15:28:32 (172 KB/s) - \u2018tmi_20140701v4.gz\u2019 saved [1745808]\r\n",
        "\r\n"
       ]
      }
     ],
     "prompt_number": 71
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Read in the data"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import gzip\n",
      "import numpy as np\n",
      "from numpy import ma\n",
      "\n",
      "\n",
      "nlon, nlat = 1440,320\n",
      "s_lat=-39.875\n",
      "s_lon=.125\n",
      "g_lat=0.25\n",
      "g_lon=0.25\n",
      "\n",
      "lons = s_lon + g_lon*np.arange(nlon)\n",
      "lats = s_lat + g_lat*np.arange(nlat)\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "dtype = np.uint8\n",
      "size  = 1\n",
      "\n",
      "fields = []\n",
      "\n",
      "if freq == 'daily':\n",
      "    fields.append(('TIME', (nlat, nlon, ), .1, 0., ))\n",
      "\n",
      "fields.extend(( ('SST', (nlat, nlon), .15, -3.0, ),\n",
      "    ('WSPD_LF', (nlat, nlon), .2, 0.0, ),\n",
      "    ('WSPD_MF', (nlat, nlon), .2, 0.0, ),\n",
      "    ('VAPOR', (nlat, nlon), .3, 0.0, ),\n",
      "    ('CLOUD', (nlat, nlon), .01, 0.0,),\n",
      "    ('RAIN', (nlat, nlon), .1, 0.0, ),\n",
      "    ))\n",
      "\n",
      "\n",
      "f = gzip.open(filename)\n",
      "data ={}\n",
      "offset  = 0\n",
      "f.seek(offset)\n",
      "for field, shape, scale, offset in fields:\n",
      "    rawdata  = np.fromstring(f.read(np.prod(shape) * size), dtype=dtype).reshape(shape)\n",
      "    \n",
      "    mask     = rawdata > 250\n",
      "    rawdata  = scale * rawdata + offset\n",
      "    \n",
      "    rawdata[mask]= np.nan\n",
      "    data[field]= ma.masked_array(rawdata, mask)\n",
      "    \n",
      "    offset += np.prod(shape)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 60
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Plotting the data near the marine continent"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%matplotlib inline\n",
      "import matplotlib.pyplot as plt\n",
      "import matplotlib.mlab as mlab\n",
      "from mpl_toolkits.basemap import Basemap"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 61
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.figure(figsize=(14,10))\n",
      "\n",
      "plotdata = data['RAIN']\n",
      "x0 = 120\n",
      "xlen = 60\n",
      "\n",
      "mask = plotdata.mask\n",
      "x, y = np.meshgrid(lons, lats)\n",
      "\n",
      "#z = mlab.griddata(x[~mask].ravel(), y[~mask].ravel(),  plotdata[~mask].ravel(), x, y)\n",
      "z = plotdata\n",
      "m = Basemap(projection='merc', llcrnrlat=-30.0, urcrnrlat=30.0, llcrnrlon=x0-xlen, urcrnrlon=x0+xlen)\n",
      "m.contourf(x, y, z, np.arange(10), latlon=True)\n",
      "plt.colorbar()\n",
      "m.drawcoastlines()\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 62,
       "text": [
        "<matplotlib.collections.LineCollection at 0x118de6150>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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NDRs2xIULF1CvXj1D3B2L9/jxY7Rp0waTJk2Cu7s7nJ2d4erqii5duiAvLw8T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\nnjzp7+3tfdXb2/tqdHR0d3XtbUxpHEEQ4kJsk0mTJk1w584doc0gCNFy8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       "text": [
        "<matplotlib.figure.Figure at 0x119ae7d10>"
       ]
      }
     ],
     "prompt_number": 62
    }
   ],
   "metadata": {}
  }
 ]
}