pyncview_pm.ipynb

{
 "metadata": {
  "name": "",
  "signature": "sha256:4ec02e13ee0310aea1808d82f68cb2f176a0e05f056ab9c8b40d5bd0fcab84be"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "**Task:**\n",
      "\n",
      "    Work with data interactively\n",
      "   \n",
      "**Solution:**\n",
      "\n",
      "    IPython widgets, interact"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "[Notebook file](http://nbviewer.ipython.org/urls/raw.github.com/koldunovn/earthpy.org/master/content/notebooks/pyncview_pm.ipynb)"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "I always wanted to write a GUI to explore my data. This is probably one of the things that you can't get rid of as a former hardcore Windows user. You need all this buttons and sliders and check boxes, or at least you think you do. But every time I looked at GUI toolkits for python I was bored after 10 minutes of reading. I just want to show the plot and control couple of variables, and in order to do so I have to learn first how to place elements on the canvas, create handlers and so on and so forth. Boring and not worth it.\n",
      "\n",
      "Now with IPython 2.0 widgets and `interact` command my dream come true - I can build a GUI for my data visualisation basically with one line of code. Below I will show how to create simple interactive visualization of geophysical variables from netCDF files. It is sort of quick and dirty replacement for great [ncview program](http://meteora.ucsd.edu/~pierce/ncview_home_page.html), but at the same time it allows you to have much more control over how and what to display.\n",
      "\n",
      "**This notebook is going to work properly only in IPython >= 2.0, and you would have to run it on your computer - web version will not be able to show you the widgets.**"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Necessary inputs:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from netCDF4 import Dataset, num2date, date2num\n",
      "from IPython.html.widgets import *\n",
      "%matplotlib inline"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "First let's have a look at simple sine wave with frequency `f`"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "x=linspace(0,1,100)\n",
      "f=2"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plot(x,sin(2*pi*x*f));"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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V9t8Tp2SRVOkHvHEyfnzwZR5Q4pdDxC3xL1gALVr4v7GF+O/CC2HHDvjgA9eR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\ndHmr6+oAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x345d590>"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We can also create a function out of this line and provide frequency as an argument:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def pltsin(f):\n",
      "    plot(x,sin(2*pi*x*f))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "In order to plot with different frequencies we have to always change the value of input argument:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "pltsin(9)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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kS0tuO37M5YBgPvelKj6/4IJJdu2a/MX3br755tSfm2eq537gg8Do8td/6HDM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\nhjb/H6d/blQcuzLWAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x34ec510>"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Bet there is a better way to do this - use `interact`. You give it the name of the function as a first argument, and parameter that you would like to vary (`f` in our case) with some limits (from 1 to 10) and step (0.1)."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "interact(pltsin, f=(1,10,0.1));"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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cWaQnF5s3QhfPkZjxe0i0evKxVeIahT+fU6dkYJCLa7nGJ6B8Zs+Wm7SNsvBy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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x34ff890>"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Now you can interactively change frequency and immediately see the result. This slider will work with both mouse and arrow keys."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Let\u2019s add another parameter - amplitude (`a`):"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def pltsin(f, a):\n",
      "    plot(x,a*sin(2*pi*x*f))\n",
      "    ylim(-10,10)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "interact(pltsin, f=(1,10,0.1), a=(1,10,1));"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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shkao7SHW9BIz7bhMGVkyqCkNio4i21qZFHXSbR1Nhoim0Xnn6KAn2Eeff5i+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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x35ec750>"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Now we have to sliders, and we can vary two parameters independently."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Now for something completely different. We going to explore netCDF data with `interact`, but first we have to download them. Here is a little script, that will download daily air temperature, relative humidity, and wind components from NCEP reanalysis:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "variabs = ['air', 'uwnd', 'vwnd', 'rhum']\n",
      "for vvv in variabs:\n",
      "    for i in range(2000,2010):\n",
      "        !wget ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/{vvv}.sig995.{i}.nc"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:18:23--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/air.sig995.2000.nc\r\n",
        "           => `air.sig995.2000.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE air.sig995.2000.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7700340\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR air.sig995.2000.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7700340 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 101,360      476K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 5% [=>                                     ] 409,288      957K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 9% [==>                                    ] 731,240     1.12M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "13% [====>                                  ] 1,077,312   1.24M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "18% [======>                                ] 1,448,000   1.33M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "23% [========>                              ] 1,827,376   1.40M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "28% [==========>                            ] 2,212,544   1.46M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "34% [============>                          ] 2,624,728   1.51M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "38% [==============>                        ] 2,964,056   1.52M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "42% [===============>                       ] 3,262,344   1.50M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "46% [=================>                     ] 3,572,216   1.50M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "50% [==================>                    ] 3,895,120   1.50M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "54% [====================>                  ] 4,223,816   1.50M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "59% [======================>                ] 4,552,512   1.50M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "63% [=======================>               ] 4,895,192   1.51M/s  eta 2s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "67% [=========================>             ] 5,235,968   1.51M/s  eta 2s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "72% [===========================>           ] 5,583,488   1.61M/s  eta 2s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "76% [=============================>         ] 5,928,112   1.60M/s  eta 2s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "81% [==============================>        ] 6,278,528   1.61M/s  eta 2s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "85% [================================>      ] 6,621,704   1.60M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "90% [==================================>    ] 6,972,120   1.59M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "95% [====================================>  ] 7,326,880   1.58M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "99% [=====================================> ] 7,678,744   1.56M/s  eta 1s      \r",
        "100%[======================================>] 7,700,340   1.57M/s   in 4.8s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:18:28 (1.55 MB/s) - `air.sig995.2000.nc' saved [7700340]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:18:28--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/air.sig995.2001.nc\r\n",
        "           => `air.sig995.2001.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE air.sig995.2001.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679308\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR air.sig995.2001.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679308 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 102,808      481K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 7% [=>                                     ] 566,168     1.29M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "14% [====>                                  ] 1,135,232   1.71M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "16% [=====>                                 ] 1,234,648   1.40M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "24% [========>                              ] 1,850,544   1.61M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "33% [============>                          ] 2,564,408   1.88M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "38% [==============>                        ] 2,982,880   1.88M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "44% [================>                      ] 3,394,112   1.89M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "49% [==================>                    ] 3,782,176   1.86M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "53% [====================>                  ] 4,144,176   1.85M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "57% [=====================>                 ] 4,441,016   1.81M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "61% [=======================>               ] 4,758,128   1.79M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "66% [========================>              ] 5,091,168   1.77M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "70% [==========================>            ] 5,427,104   1.75M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "75% [============================>          ] 5,774,624   1.74M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "79% [==============================>        ] 6,119,248   1.80M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "84% [===============================>       ] 6,474,960   1.76M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "88% [=================================>     ] 6,761,664   1.70M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "92% [===================================>   ] 7,089,408   1.76M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "95% [====================================>  ] 7,357,288   1.69M/s  eta 0s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "99% [=====================================> ] 7,652,680   1.58M/s  eta 0s      \r",
        "100%[======================================>] 7,679,308   1.58M/s   in 4.4s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:18:34 (1.66 MB/s) - `air.sig995.2001.nc' saved [7679308]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:18:34--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/air.sig995.2002.nc\r\n",
        "           => `air.sig995.2002.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE air.sig995.2002.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679308\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR air.sig995.2002.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679308 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 117,288      545K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 7% [=>                                     ] 584,992     1.33M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "14% [====>                                  ] 1,143,920   1.74M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "24% [========>                              ] 1,876,608   2.02M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "33% [============>                          ] 2,591,424   2.26M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "40% [==============>                        ] 3,120,440   2.27M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "47% [=================>                     ] 3,622,400   2.29M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "52% [===================>                   ] 4,039,424   2.25M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "58% [=====================>                 ] 4,471,424   2.23M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "63% [=======================>               ] 4,900,032   2.21M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "69% [==========================>            ] 5,360,496   2.20M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "75% [============================>          ] 5,825,304   2.20M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "82% [===============================>       ] 6,306,040   2.20M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "88% [=================================>     ] 6,782,432   2.20M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "94% [===================================>   ] 7,264,616   2.20M/s  eta 0s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,679,308   2.21M/s   in 3.3s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:18:38 (2.21 MB/s) - `air.sig995.2002.nc' saved [7679308]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:18:38--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/air.sig995.2003.nc\r\n",
        "           => `air.sig995.2003.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE air.sig995.2003.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679308\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR air.sig995.2003.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679308 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 118,736      559K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 6% [=>                                     ] 506,800     1.15M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "18% [======>                                ] 1,388,632   2.11M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "26% [=========>                             ] 2,043,128   2.33M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "34% [============>                          ] 2,661,424   2.43M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "42% [===============>                       ] 3,297,096   2.51M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "50% [==================>                    ] 3,884,488   2.53M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "56% [=====================>                 ] 4,357,032   2.49M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "63% [=======================>               ] 4,840,664   2.47M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "69% [==========================>            ] 5,319,952   2.45M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "75% [============================>          ] 5,828,200   2.43M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "82% [===============================>       ] 6,348,032   2.43M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "89% [=================================>     ] 6,881,848   2.43M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "96% [====================================>  ] 7,412,312   2.43M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,679,308   2.45M/s   in 3.0s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:18:42 (2.45 MB/s) - `air.sig995.2003.nc' saved [7679308]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:18:42--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/air.sig995.2004.nc\r\n",
        "           => `air.sig995.2004.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE air.sig995.2004.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7700340\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR air.sig995.2004.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7700340 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 111,872      517K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 6% [=>                                     ] 533,240     1.22M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "14% [====>                                  ] 1,090,224   1.67M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "23% [========>                              ] 1,820,512   2.09M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "32% [===========>                           ] 2,535,824   2.34M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "42% [===============>                       ] 3,271,408   2.52M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "52% [===================>                   ] 4,024,368   2.66M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "62% [=======================>               ] 4,794,704   2.77M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "72% [===========================>           ] 5,573,728   2.86M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "82% [===============================>       ] 6,371,576   2.94M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "93% [===================================>   ] 7,182,456   3.02M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,700,340   3.06M/s   in 2.4s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:18:45 (3.06 MB/s) - `air.sig995.2004.nc' saved [7700340]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:18:45--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/air.sig995.2005.nc\r\n",
        "           => `air.sig995.2005.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE air.sig995.2005.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679308\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR air.sig995.2005.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679308 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 102,808      480K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 5% [=>                                     ] 437,296      928K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "12% [===>                                   ] 948,440     1.31M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "17% [=====>                                 ] 1,348,088   1.44M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "22% [=======>                               ] 1,757,872   1.53M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "28% [==========>                            ] 2,174,896   1.59M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "33% [============>                          ] 2,604,456   1.65M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "39% [==============>                        ] 3,037,904   1.69M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "45% [================>                      ] 3,484,840   1.72M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "50% [==================>                    ] 3,853,128   1.70M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "53% [===================>                   ] 4,128,248   1.67M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "56% [=====================>                 ] 4,371,512   1.63M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "60% [======================>                ] 4,611,880   1.59M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "63% [=======================>               ] 4,860,440   1.56M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "66% [========================>              ] 5,102,752   1.54M/s  eta 2s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "69% [==========================>            ] 5,363,392   1.57M/s  eta 2s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "72% [===========================>           ] 5,558,872   1.55M/s  eta 2s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "75% [============================>          ] 5,764,488   1.48M/s  eta 2s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "77% [=============================>         ] 5,977,344   1.43M/s  eta 2s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "80% [==============================>        ] 6,152,552   1.34M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "82% [===============================>       ] 6,326,312   1.28M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "84% [================================>      ] 6,508,760   1.22M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "87% [================================>      ] 6,692,656   1.12M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "89% [=================================>     ] 6,878,952   1.05M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "92% [==================================>    ] 7,070,584   1.01M/s  eta 0s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "94% [===================================>   ] 7,264,120    985K/s  eta 0s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "97% [====================================>  ] 7,455,752    971K/s  eta 0s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "99% [=====================================> ] 7,651,232    958K/s  eta 0s      \r",
        "100%[======================================>] 7,679,308    966K/s   in 5.9s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:18:52 (1.24 MB/s) - `air.sig995.2005.nc' saved [7679308]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:18:52--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/air.sig995.2006.nc\r\n",
        "           => `air.sig995.2006.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE air.sig995.2006.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679312\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR air.sig995.2006.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679312 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 105,704      489K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 6% [=>                                     ] 511,896     1.15M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "12% [===>                                   ] 950,144     1.45M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "21% [=======>                               ] 1,660,160   1.91M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "28% [==========>                            ] 2,208,952   2.04M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "36% [=============>                         ] 2,772,224   2.13M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "42% [===============>                       ] 3,237,032   2.13M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "47% [=================>                     ] 3,654,056   2.11M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "53% [===================>                   ] 4,094,248   2.10M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "59% [======================>                ] 4,538,288   2.09M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "64% [========================>              ] 4,984,768   2.09M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "70% [==========================>            ] 5,446,680   2.09M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "77% [=============================>         ] 5,920,176   2.10M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "83% [===============================>       ] 6,396,568   2.11M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "89% [=================================>     ] 6,877,304   2.11M/s  eta 0s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "95% [====================================>  ] 7,359,488   2.21M/s  eta 0s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,679,312   2.27M/s   in 3.4s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:18:56 (2.13 MB/s) - `air.sig995.2006.nc' saved [7679312]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:18:56--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/air.sig995.2007.nc\r\n",
        "           => `air.sig995.2007.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE air.sig995.2007.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679304\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR air.sig995.2007.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679304 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 141,904      665K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 8% [==>                                    ] 655,448     1.51M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "22% [=======>                               ] 1,705,744   2.56M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "32% [===========>                           ] 2,482,824   2.79M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "44% [================>                      ] 3,436,104   3.08M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "53% [===================>                   ] 4,123,904   3.11M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "60% [======================>                ] 4,668,352   3.03M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "68% [=========================>             ] 5,248,504   3.00M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "76% [============================>          ] 5,845,576   2.97M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "82% [==============================>        ] 6,297,352   2.89M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "89% [=================================>     ] 6,882,344   2.87M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "95% [====================================>  ] 7,339,912   2.81M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,679,304   2.77M/s   in 2.6s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:19:00 (2.77 MB/s) - `air.sig995.2007.nc' saved [7679304]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:19:00--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/air.sig995.2008.nc\r\n",
        "           => `air.sig995.2008.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE air.sig995.2008.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7700340\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR air.sig995.2008.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7700340 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 124,528      581K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 7% [==>                                    ] 606,216     1.39M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "15% [====>                                  ] 1,168,040   1.79M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "25% [=========>                             ] 1,996,296   2.29M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "35% [============>                          ] 2,729,480   2.49M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "42% [===============>                       ] 3,268,136   2.50M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "50% [==================>                    ] 3,853,128   2.53M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "55% [====================>                  ] 4,307,800   2.48M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "61% [=======================>               ] 4,772,608   2.44M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "68% [=========================>             ] 5,257,688   2.42M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "74% [============================>          ] 5,745,664   2.40M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "81% [==============================>        ] 6,242,328   2.39M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "87% [=================================>     ] 6,750,576   2.39M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "94% [===================================>   ] 7,263,168   2.39M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,700,340   2.40M/s   in 3.1s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:19:04 (2.40 MB/s) - `air.sig995.2008.nc' saved [7700340]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:19:04--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/air.sig995.2009.nc\r\n",
        "           => `air.sig995.2009.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE air.sig995.2009.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679308\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR air.sig995.2009.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679308 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 117,664      572K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 7% [=>                                     ] 556,408     1.24M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 7% [=>                                     ] 557,856      743K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "10% [===>                                   ] 818,496      851K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "12% [===>                                   ] 976,328      833K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "20% [=======>                               ] 1,598,968   1.13M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "29% [==========>                            ] 2,228,352   1.36M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "37% [=============>                         ] 2,886,240   1.56M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "46% [=================>                     ] 3,566,800   1.73M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "55% [====================>                  ] 4,278,720   1.88M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "65% [========================>              ] 5,007,560   2.01M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "69% [==========================>            ] 5,370,512   1.96M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "75% [============================>          ] 5,828,080   1.97M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "79% [=============================>         ] 6,102,248   1.92M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "83% [===============================>       ] 6,386,056   1.88M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "86% [================================>      ] 6,680,000   1.85M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "90% [==================================>    ] 6,981,184   1.89M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "94% [===================================>   ] 7,280,920   2.06M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "98% [=====================================> ] 7,593,688   2.04M/s  eta 0s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,679,308   2.03M/s   in 4.1s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:19:09 (1.78 MB/s) - `air.sig995.2009.nc' saved [7679308]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:19:09--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/uwnd.sig995.2000.nc\r\n",
        "           => `uwnd.sig995.2000.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE uwnd.sig995.2000.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7700324\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR uwnd.sig995.2000.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7700324 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 105,704      417K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 6% [=>                                     ] 495,216     1.04M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "19% [======>                                ] 1,497,232   2.15M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "25% [=========>                             ] 2,001,136   2.16M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "38% [=============>                         ] 2,955,368   2.60M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "44% [================>                      ] 3,411,488   2.53M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "50% [==================>                    ] 3,877,744   2.48M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "56% [=====================>                 ] 4,374,408   2.46M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "63% [=======================>               ] 4,884,104   2.45M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "70% [==========================>            ] 5,403,440   2.45M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "76% [============================>          ] 5,922,320   2.44M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "83% [===============================>       ] 6,457,584   2.44M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "90% [==================================>    ] 6,986,600   2.44M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "97% [=====================================> ] 7,526,704   2.45M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,700,324   2.45M/s   in 3.0s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:19:12 (2.45 MB/s) - `uwnd.sig995.2000.nc' saved [7700324]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:19:13--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/uwnd.sig995.2001.nc\r\n",
        "           => `uwnd.sig995.2001.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE uwnd.sig995.2001.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679292\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR uwnd.sig995.2001.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679292 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 148,648      697K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 9% [==>                                    ] 737,032     1.55M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "20% [======>                                ] 1,555,152   2.17M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "31% [===========>                           ] 2,384,360   2.57M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "38% [=============>                         ] 2,923,512   2.56M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "45% [================>                      ] 3,514,296   2.59M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "53% [===================>                   ] 4,112,320   2.61M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "61% [======================>                ] 4,720,480   2.63M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "69% [==========================>            ] 5,341,672   2.66M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "77% [=============================>         ] 5,973,000   2.69M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "86% [================================>      ] 6,607,224   2.71M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "94% [===================================>   ] 7,247,240   2.73M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,679,292   2.72M/s   in 2.7s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:19:16 (2.72 MB/s) - `uwnd.sig995.2001.nc' saved [7679292]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:19:16--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/uwnd.sig995.2002.nc\r\n",
        "           => `uwnd.sig995.2002.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE uwnd.sig995.2002.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679292\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR uwnd.sig995.2002.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679292 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 110,048      499K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 6% [=>                                     ] 530,920     1.19M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "15% [====>                                  ] 1,172,384   1.77M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "25% [========>                              ] 1,938,376   2.20M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "35% [============>                          ] 2,743,464   2.51M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "46% [=================>                     ] 3,580,408   2.73M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "57% [=====================>                 ] 4,436,672   2.90M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "68% [=========================>             ] 5,244,656   3.00M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "76% [============================>          ] 5,886,120   2.99M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "85% [================================>      ] 6,550,752   3.00M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "94% [===================================>   ] 7,228,416   3.01M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,679,292   3.04M/s   in 2.4s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:19:19 (3.04 MB/s) - `uwnd.sig995.2002.nc' saved [7679292]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:19:19--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/uwnd.sig995.2003.nc\r\n",
        "           => `uwnd.sig995.2003.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE uwnd.sig995.2003.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679292\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR uwnd.sig995.2003.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679292 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 120,392      555K/s              "
       ]
      },
      {
       "output_type": "stream",
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       "text": [
        "\r",
        " 7% [==>                                    ] 597,736     1.36M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "20% [=======>                               ] 1,593,008   2.36M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "33% [===========>                           ] 2,552,536   2.88M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "43% [===============>                       ] 3,337,848   3.04M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "54% [====================>                  ] 4,206,648   3.21M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "66% [========================>              ] 5,089,928   3.33M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "78% [=============================>         ] 5,995,880   3.44M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "90% [==================================>    ] 6,914,408   3.53M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,679,292   3.58M/s   in 2.0s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:19:22 (3.58 MB/s) - `uwnd.sig995.2003.nc' saved [7679292]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:19:22--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/uwnd.sig995.2004.nc\r\n",
        "           => `uwnd.sig995.2004.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE uwnd.sig995.2004.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7700320\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR uwnd.sig995.2004.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7700320 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 136,112      630K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 5% [=>                                     ] 446,936      924K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "11% [===>                                   ] 922,376     1.29M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "20% [======>                                ] 1,548,864   1.66M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "26% [=========>                             ] 2,037,336   1.78M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "33% [===========>                           ] 2,547,032   1.87M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "39% [==============>                        ] 3,063,968   1.94M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "46% [=================>                     ] 3,596,336   2.00M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "53% [===================>                   ] 4,132,592   2.06M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "60% [======================>                ] 4,675,592   2.10M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "67% [=========================>             ] 5,221,488   2.14M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "75% [============================>          ] 5,776,072   2.17M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "82% [===============================>       ] 6,335,952   2.20M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "89% [=================================>     ] 6,892,480   2.23M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "96% [====================================>  ] 7,459,600   2.25M/s  eta 0s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,700,320   2.27M/s   in 3.2s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:19:26 (2.27 MB/s) - `uwnd.sig995.2004.nc' saved [7700320]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:19:26--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/uwnd.sig995.2005.nc\r\n",
        "           => `uwnd.sig995.2005.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE uwnd.sig995.2005.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679292\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR uwnd.sig995.2005.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679292 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 141,408      661K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 8% [==>                                    ] 667,528     1.50M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "18% [======>                                ] 1,410,352   2.15M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "31% [===========>                           ] 2,397,888   2.76M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "42% [===============>                       ] 3,237,728   2.98M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "50% [==================>                    ] 3,877,744   2.94M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "58% [=====================>                 ] 4,496,992   2.92M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "64% [========================>              ] 4,966,640   2.84M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "69% [==========================>            ] 5,373,032   2.74M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "75% [============================>          ] 5,802,136   2.66M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "81% [==============================>        ] 6,245,224   2.61M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "87% [=================================>     ] 6,699,896   2.57M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "93% [===================================>   ] 7,156,016   2.53M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "99% [=====================================> ] 7,623,720   2.51M/s              \r",
        "100%[======================================>] 7,679,292   2.52M/s   in 2.9s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:19:30 (2.52 MB/s) - `uwnd.sig995.2005.nc' saved [7679292]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:19:30--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/uwnd.sig995.2006.nc\r\n",
        "           => `uwnd.sig995.2006.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE uwnd.sig995.2006.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679296\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR uwnd.sig995.2006.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679296 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 131,768      614K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 5% [=>                                     ] 460,464      986K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "11% [===>                                   ] 915,136     1.32M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "18% [======>                                ] 1,395,872   1.53M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "24% [========>                              ] 1,899,776   1.69M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "31% [===========>                           ] 2,422,504   1.80M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "38% [==============>                        ] 2,961,160   1.90M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "45% [================>                      ] 3,521,536   1.98M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "53% [===================>                   ] 4,092,048   2.05M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "60% [======================>                ] 4,674,144   2.11M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "68% [=========================>             ] 5,262,032   2.17M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "76% [============================>          ] 5,871,144   2.22M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "83% [===============================>       ] 6,389,528   2.22M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "90% [==================================>    ] 6,966,328   2.25M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "96% [====================================>  ] 7,409,416   2.24M/s  eta 0s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,679,296   2.24M/s   in 3.3s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:19:34 (2.24 MB/s) - `uwnd.sig995.2006.nc' saved [7679296]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:19:34--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/uwnd.sig995.2007.nc\r\n",
        "           => `uwnd.sig995.2007.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE uwnd.sig995.2007.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679284\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR uwnd.sig995.2007.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679284 (7.3M) (unauthoritative)\r\n",
        "\r\n",
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        " 0% [                                       ] 0           --.-K/s              "
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        "\r",
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        "\r",
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        "\r",
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        "\r",
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        "\r",
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        "\r",
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       "text": [
        "\r",
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      },
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       "text": [
        "\r",
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        "\r",
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      },
      {
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        "\r",
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      {
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       "text": [
        "\r",
        "71% [==========================>            ] 5,505,720    772K/s  eta 4s      "
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      },
      {
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       "text": [
        "\r",
        "75% [============================>          ] 5,814,144    806K/s  eta 4s      "
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      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        "84% [===============================>       ] 6,493,256    929K/s  eta 4s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "96% [====================================>  ] 7,444,592   1.08M/s  eta 0s      \r",
        "100%[======================================>] 7,679,284   1.13M/s   in 9.6s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:19:45 (778 KB/s) - `uwnd.sig995.2007.nc' saved [7679284]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:19:45--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/uwnd.sig995.2008.nc\r\n",
        "           => `uwnd.sig995.2008.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE uwnd.sig995.2008.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7700324\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR uwnd.sig995.2008.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7700324 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
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       "text": [
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       "text": [
        "\r",
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       "text": [
        "\r",
        "80% [==============================>        ] 6,235,664   1.57M/s  eta 2s      "
       ]
      },
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       "stream": "stdout",
       "text": [
        "\r",
        "86% [================================>      ] 6,693,232   1.60M/s  eta 2s      "
       ]
      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        "93% [===================================>   ] 7,165,280   1.67M/s  eta 0s      "
       ]
      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        "99% [=====================================> ] 7,648,912   1.71M/s  eta 0s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,700,324   1.71M/s   in 4.4s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:19:50 (1.66 MB/s) - `uwnd.sig995.2008.nc' saved [7700324]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:19:50--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/uwnd.sig995.2009.nc\r\n",
        "           => `uwnd.sig995.2009.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE uwnd.sig995.2009.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679292\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR uwnd.sig995.2009.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679292 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
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       "text": [
        "\r",
        " 1% [                                       ] 134,664      622K/s              "
       ]
      },
      {
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       "text": [
        "\r",
        " 9% [==>                                    ] 719,656     1.64M/s              "
       ]
      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        "11% [===>                                   ] 871,200     1.13M/s              "
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      },
      {
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       "text": [
        "\r",
        "16% [=====>                                 ] 1,232,248   1.25M/s              "
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      {
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       "text": [
        "\r",
        "17% [=====>                                 ] 1,371,256   1.14M/s              "
       ]
      },
      {
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       "text": [
        "\r",
        "24% [========>                              ] 1,850,544   1.31M/s              "
       ]
      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        "31% [===========>                           ] 2,397,888   1.47M/s              "
       ]
      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        "38% [==============>                        ] 2,971,296   1.61M/s              "
       ]
      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        "46% [=================>                     ] 3,576,560   1.74M/s              "
       ]
      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        "54% [====================>                  ] 4,196,304   1.84M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "62% [=======================>               ] 4,834,872   1.94M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "71% [==========================>            ] 5,487,920   2.03M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "80% [==============================>        ] 6,159,792   2.11M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "89% [=================================>     ] 6,851,936   2.18M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "98% [=====================================> ] 7,549,872   2.25M/s  eta 0s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,679,292   2.26M/s   in 3.2s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:19:54 (2.26 MB/s) - `uwnd.sig995.2009.nc' saved [7679292]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:19:54--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/vwnd.sig995.2000.nc\r\n",
        "           => `vwnd.sig995.2000.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE vwnd.sig995.2000.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7700324\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR vwnd.sig995.2000.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7700324 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
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        " 1% [                                       ] 114,768      541K/s              "
       ]
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      {
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       "text": [
        "\r",
        " 7% [=>                                     ] 576,680     1.18M/s              "
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      {
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        "\r",
        "18% [======>                                ] 1,449,824   2.04M/s              "
       ]
      },
      {
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       "text": [
        "\r",
        "29% [==========>                            ] 2,308,488   2.49M/s              "
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      {
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       "text": [
        "\r",
        "39% [==============>                        ] 3,026,696   2.64M/s              "
       ]
      },
      {
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        "\r",
        "47% [=================>                     ] 3,669,608   2.69M/s              "
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      {
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       "stream": "stdout",
       "text": [
        "\r",
        "56% [====================>                  ] 4,338,584   2.74M/s              "
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      },
      {
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       "text": [
        "\r",
        "65% [========================>              ] 5,021,544   2.80M/s              "
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      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        "74% [===========================>           ] 5,717,080   2.84M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "81% [==============================>        ] 6,258,632   2.80M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "87% [=================================>     ] 6,713,304   2.74M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "92% [==================================>    ] 7,086,888   2.66M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "97% [====================================>  ] 7,479,296   2.60M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,700,324   2.56M/s   in 2.9s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:19:58 (2.56 MB/s) - `vwnd.sig995.2000.nc' saved [7700324]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:19:58--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/vwnd.sig995.2001.nc\r\n",
        "           => `vwnd.sig995.2001.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE vwnd.sig995.2001.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679292\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR vwnd.sig995.2001.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679292 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
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        "\r",
        " 1% [                                       ] 122,008      560K/s              "
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      {
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        " 7% [==>                                    ] 604,192     1.37M/s              "
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      {
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        "\r",
        "13% [====>                                  ] 1,044,384   1.18M/s              "
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      {
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        "\r",
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      {
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        "\r",
        "18% [======>                                ] 1,454,168   1.11M/s              "
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      },
      {
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        "\r",
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      {
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        "\r",
        "25% [=========>                             ] 1,971,104   1.13M/s              "
       ]
      },
      {
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       "text": [
        "\r",
        "40% [==============>                        ] 3,125,160   1.59M/s              "
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      },
      {
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       "text": [
        "\r",
        "53% [====================>                  ] 4,143,104   1.90M/s              "
       ]
      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        "67% [=========================>             ] 5,150,912   2.15M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "76% [============================>          ] 5,864,776   2.23M/s              "
       ]
      },
      {
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       "text": [
        "\r",
        "85% [================================>      ] 6,562,712   2.31M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "92% [===================================>   ] 7,140,464   2.34M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,679,292   2.35M/s   in 3.1s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:20:02 (2.35 MB/s) - `vwnd.sig995.2001.nc' saved [7679292]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:20:02--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/vwnd.sig995.2002.nc\r\n",
        "           => `vwnd.sig995.2002.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE vwnd.sig995.2002.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679292\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR vwnd.sig995.2002.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679292 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
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       "text": [
        "\r",
        " 1% [                                       ] 108,600      504K/s              "
       ]
      },
      {
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       "text": [
        "\r",
        " 6% [=>                                     ] 531,416     1.20M/s              "
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      },
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        "\r",
        " 7% [=>                                     ] 538,656      722K/s              "
       ]
      },
      {
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       "text": [
        "\r",
        "10% [===>                                   ] 796,400      831K/s              "
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      },
      {
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       "text": [
        "\r",
        "11% [===>                                   ] 870,248      744K/s              "
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      },
      {
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       "text": [
        "\r",
        "12% [====>                                  ] 985,936      543K/s              "
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      },
      {
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       "text": [
        "\r",
        "15% [=====>                                 ] 1,213,272    598K/s              "
       ]
      },
      {
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       "text": [
        "\r",
        "23% [========>                              ] 1,840,256    821K/s              "
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      },
      {
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       "text": [
        "\r",
        "29% [==========>                            ] 2,257,280    918K/s              "
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      },
      {
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       "text": [
        "\r",
        "36% [=============>                         ] 2,775,664   1.01M/s              "
       ]
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      {
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       "text": [
        "\r",
        "41% [===============>                       ] 3,207,168   1.09M/s              "
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      },
      {
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       "text": [
        "\r",
        "47% [=================>                     ] 3,653,152   1.15M/s  eta 3s      "
       ]
      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        "53% [===================>                   ] 4,115,064   1.22M/s  eta 3s      "
       ]
      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        "59% [======================>                ] 4,578,424   1.27M/s  eta 3s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "65% [========================>              ] 5,049,024   1.32M/s  eta 3s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "71% [===========================>           ] 5,523,968   1.37M/s  eta 3s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "78% [=============================>         ] 6,007,600   1.45M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "84% [===============================>       ] 6,491,232   1.50M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "90% [==================================>    ] 6,982,104   1.65M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "97% [====================================>  ] 7,478,768   1.75M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,679,292   1.77M/s   in 4.7s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:20:07 (1.55 MB/s) - `vwnd.sig995.2002.nc' saved [7679292]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:20:08--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/vwnd.sig995.2003.nc\r\n",
        "           => `vwnd.sig995.2003.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE vwnd.sig995.2003.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679292\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR vwnd.sig995.2003.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679292 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
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       "text": [
        "\r",
        " 1% [                                       ] 98,800       462K/s              "
       ]
      },
      {
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       "text": [
        "\r",
        " 4% [>                                      ] 353,648      823K/s              "
       ]
      },
      {
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       "text": [
        "\r",
        " 8% [==>                                    ] 679,448     1.04M/s              "
       ]
      },
      {
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        "\r",
        "13% [====>                                  ] 1,029,864   1.19M/s              "
       ]
      },
      {
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       "text": [
        "\r",
        "18% [======>                                ] 1,409,240   1.30M/s              "
       ]
      },
      {
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       "text": [
        "\r",
        "23% [========>                              ] 1,792,960   1.38M/s              "
       ]
      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        "28% [==========>                            ] 2,196,952   1.45M/s              "
       ]
      },
      {
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       "text": [
        "\r",
        "32% [===========>                           ] 2,527,096   1.46M/s              "
       ]
      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        "36% [=============>                         ] 2,836,968   1.45M/s              "
       ]
      },
      {
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       "text": [
        "\r",
        "41% [===============>                       ] 3,152,632   1.46M/s              "
       ]
      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        "45% [================>                      ] 3,472,640   1.46M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "49% [==================>                    ] 3,805,680   1.46M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "53% [====================>                  ] 4,141,616   1.47M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "58% [=====================>                 ] 4,483,344   1.48M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "62% [=======================>               ] 4,833,760   1.49M/s  eta 2s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "67% [=========================>             ] 5,185,128   1.55M/s  eta 2s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "71% [===========================>           ] 5,527,352   1.60M/s  eta 2s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "76% [============================>          ] 5,873,424   1.60M/s  eta 2s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "81% [==============================>        ] 6,220,944   1.60M/s  eta 2s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "85% [================================>      ] 6,572,808   1.59M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "90% [==================================>    ] 6,930,464   1.59M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "94% [====================================>  ] 7,289,568   1.57M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "99% [=====================================> ] 7,657,360   1.57M/s  eta 1s      \r",
        "100%[======================================>] 7,679,292   1.58M/s   in 4.8s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:20:13 (1.54 MB/s) - `vwnd.sig995.2003.nc' saved [7679292]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:20:13--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/vwnd.sig995.2004.nc\r\n",
        "           => `vwnd.sig995.2004.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE vwnd.sig995.2004.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7700320\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR vwnd.sig995.2004.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7700320 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 133,968      611K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 8% [==>                                    ] 690,000     1.57M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "19% [======>                                ] 1,482,056   2.20M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "31% [===========>                           ] 2,421,808   2.74M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "38% [==============>                        ] 2,993,768   2.70M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "46% [================>                      ] 3,546,904   2.69M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "52% [===================>                   ] 4,018,952   2.62M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "58% [=====================>                 ] 4,511,272   2.58M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "65% [========================>              ] 5,020,968   2.56M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "71% [===========================>           ] 5,540,800   2.54M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "78% [=============================>         ] 6,069,320   2.54M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "85% [================================>      ] 6,596,392   2.53M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "92% [===================================>   ] 7,137,944   2.52M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "99% [=====================================> ] 7,680,944   2.52M/s              \r",
        "100%[======================================>] 7,700,320   2.53M/s   in 2.9s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:20:17 (2.53 MB/s) - `vwnd.sig995.2004.nc' saved [7700320]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:20:17--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/vwnd.sig995.2005.nc\r\n",
        "           => `vwnd.sig995.2005.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE vwnd.sig995.2005.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679292\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR vwnd.sig995.2005.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679292 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 125,976      586K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 7% [=>                                     ] 547,344     1.23M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "16% [=====>                                 ] 1,269,896   1.89M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "23% [========>                              ] 1,821,584   2.06M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "29% [==========>                            ] 2,291,688   2.07M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "35% [============>                          ] 2,732,376   2.07M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "39% [==============>                        ] 3,019,080   1.97M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "43% [===============>                       ] 3,323,160   1.90M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "47% [=================>                     ] 3,641,224   1.85M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "51% [===================>                   ] 3,962,680   1.81M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "55% [====================>                  ] 4,284,632   1.78M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "60% [======================>                ] 4,614,776   1.76M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "64% [========================>              ] 4,950,712   1.74M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "68% [=========================>             ] 5,289,544   1.73M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "73% [===========================>           ] 5,627,880   1.72M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "77% [=============================>         ] 5,957,072   1.77M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "81% [==============================>        ] 6,293,008   1.78M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "86% [================================>      ] 6,630,392   1.65M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "90% [==================================>    ] 6,977,912   1.59M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "95% [====================================>  ] 7,322,536   1.55M/s  eta 0s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "99% [=====================================> ] 7,675,848   1.51M/s  eta 0s      \r",
        "100%[======================================>] 7,679,292   1.51M/s   in 4.4s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:20:22 (1.68 MB/s) - `vwnd.sig995.2005.nc' saved [7679292]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:20:22--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/vwnd.sig995.2006.nc\r\n",
        "           => `vwnd.sig995.2006.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE vwnd.sig995.2006.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679296\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR vwnd.sig995.2006.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679296 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 117,288      535K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 7% [==>                                    ] 596,576     1.35M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "20% [=======>                               ] 1,582,664   2.40M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "32% [===========>                           ] 2,515,176   2.87M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "45% [================>                      ] 3,517,192   3.22M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "59% [======================>                ] 4,552,512   3.48M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "73% [===========================>           ] 5,608,104   3.68M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "87% [================================>      ] 6,683,968   3.84M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "99% [=====================================> ] 7,603,448   3.84M/s              \r",
        "100%[======================================>] 7,679,296   3.88M/s   in 1.9s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:20:25 (3.88 MB/s) - `vwnd.sig995.2006.nc' saved [7679296]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:20:25--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/vwnd.sig995.2007.nc\r\n",
        "           => `vwnd.sig995.2007.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE vwnd.sig995.2007.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679284\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR vwnd.sig995.2007.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679284 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 112,944      528K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 7% [=>                                     ] 550,240     1.27M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "15% [====>                                  ] 1,178,672   1.79M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "25% [========>                              ] 1,953,352   2.25M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "34% [============>                          ] 2,649,840   2.44M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "43% [================>                      ] 3,370,944   2.59M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "53% [===================>                   ] 4,115,216   2.71M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "63% [=======================>               ] 4,866,728   2.80M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "73% [===========================>           ] 5,636,568   2.89M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "83% [===============================>       ] 6,410,296   2.95M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "93% [===================================>   ] 7,200,904   3.02M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,679,284   2.99M/s   in 2.4s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:20:28 (2.99 MB/s) - `vwnd.sig995.2007.nc' saved [7679284]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:20:28--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/vwnd.sig995.2008.nc\r\n",
        "           => `vwnd.sig995.2008.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE vwnd.sig995.2008.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7700324\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR vwnd.sig995.2008.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7700324 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 0% [                                       ] 33,304      --.-K/s              "
       ]
      },
      {
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       "text": [
        "\r",
        " 0% [                                       ] 37,648      25.9K/s              "
       ]
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        "\r",
        " 0% [                                       ] 40,544      19.0K/s              "
       ]
      },
      {
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       "text": [
        "\r",
        " 0% [                                       ] 40,544      13.1K/s  eta 9m 32s  "
       ]
      },
      {
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       "text": [
        "\r",
        " 0% [                                       ] 41,992      11.6K/s  eta 9m 32s  "
       ]
      },
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       "text": [
        "\r",
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       "text": [
        "\r",
        " 1% [                                       ] 80,016      19.6K/s  eta 9m 32s  "
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        "\r",
        " 1% [                                       ] 100,288     23.3K/s  eta 5m 19s  "
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       "text": [
        "\r",
        " 1% [                                       ] 132,144     29.2K/s  eta 5m 19s  "
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      },
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       "text": [
        "\r",
        " 2% [                                       ] 165,448     35.0K/s  eta 5m 19s  "
       ]
      },
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       "text": [
        "\r",
        " 2% [>                                      ] 213,232     43.2K/s  eta 5m 19s  "
       ]
      },
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       "text": [
        "\r",
        " 3% [>                                      ] 269,704     52.3K/s  eta 5m 19s  "
       ]
      },
      {
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       "text": [
        "\r",
        " 4% [>                                      ] 313,144     58.1K/s  eta 2m 4s   "
       ]
      },
      {
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       "text": [
        "\r",
        " 4% [>                                      ] 371,064     66.0K/s  eta 2m 4s   "
       ]
      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        " 5% [=>                                     ] 434,776     74.3K/s  eta 2m 4s   "
       ]
      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        " 6% [=>                                     ] 489,800     80.6K/s  eta 2m 4s   "
       ]
      },
      {
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       "text": [
        "\r",
        " 7% [=>                                     ] 540,480     86.0K/s  eta 2m 4s   "
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      },
      {
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       "text": [
        "\r",
        " 7% [==>                                    ] 598,400     92.0K/s  eta 75s     "
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      },
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        "\r",
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        "\r",
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        "\r",
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        "\r",
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        "\r",
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        "\r",
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        "\r",
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        "\r",
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        "\r",
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        "\r",
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        "\r",
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        "\r",
        "27% [=========>                             ] 2,115,904    479K/s  eta 25s     "
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        "\r",
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        "\r",
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        "\r",
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      },
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        "\r",
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        "\r",
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        "\r",
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        "\r",
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      },
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        "\r",
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        "\r",
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        "\r",
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        "\r",
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      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
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      {
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       "stream": "stdout",
       "text": [
        "\r",
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      },
      {
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        "\r",
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      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        "86% [================================>      ] 6,662,784    740K/s  eta 5s      "
       ]
      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        "89% [=================================>     ] 6,869,848    760K/s  eta 2s      "
       ]
      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        "92% [==================================>    ] 7,087,048    782K/s  eta 2s      "
       ]
      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
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       ]
      },
      {
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       "stream": "stdout",
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        "\r",
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       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,700,324    854K/s   in 17s     \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:20:48 (453 KB/s) - `vwnd.sig995.2008.nc' saved [7700324]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:20:48--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/vwnd.sig995.2009.nc\r\n",
        "           => `vwnd.sig995.2009.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE vwnd.sig995.2009.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679292\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR vwnd.sig995.2009.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679292 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
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       "text": [
        "\r",
        " 1% [                                       ] 113,896      519K/s              "
       ]
      },
      {
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       "text": [
        "\r",
        " 3% [>                                      ] 257,248      596K/s              "
       ]
      },
      {
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        "\r",
        " 5% [=>                                     ] 409,784      636K/s              "
       ]
      },
      {
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       "text": [
        "\r",
        " 7% [=>                                     ] 573,408      671K/s              "
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      {
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        "\r",
        " 9% [==>                                    ] 747,168      701K/s              "
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        "\r",
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        "\r",
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        "\r",
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        "\r",
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        "\r",
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        "\r",
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        "\r",
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        "\r",
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        "\r",
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        "\r",
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        "\r",
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        "\r",
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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",
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       ]
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        "\r",
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        "\r",
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       ]
      },
      {
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        "\r",
        "90% [==================================>    ] 6,982,640   1.30M/s  eta 2s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "97% [=====================================> ] 7,518,896   1.57M/s  eta 2s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,679,292   1.59M/s   in 8.5s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:20:58 (880 KB/s) - `vwnd.sig995.2009.nc' saved [7679292]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:20:58--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/rhum.sig995.2000.nc\r\n",
        "           => `rhum.sig995.2000.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE rhum.sig995.2000.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7700344\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR rhum.sig995.2000.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7700344 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 123,080      551K/s              "
       ]
      },
      {
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        "\r",
        " 4% [>                                      ] 364,896      843K/s              "
       ]
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      {
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       "text": [
        "\r",
        "11% [===>                                   ] 857,216     1.28M/s              "
       ]
      },
      {
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        "\r",
        "17% [=====>                                 ] 1,348,088   1.54M/s              "
       ]
      },
      {
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        "\r",
        "20% [=======>                               ] 1,608,728   1.45M/s              "
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      {
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       "text": [
        "\r",
        "24% [========>                              ] 1,896,880   1.41M/s              "
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      {
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        "\r",
        "28% [==========>                            ] 2,230,872   1.43M/s              "
       ]
      },
      {
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        "\r",
        "32% [===========>                           ] 2,510,832   1.41M/s              "
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      {
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        "\r",
        "35% [============>                          ] 2,748,304   1.35M/s              "
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      },
      {
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       "text": [
        "\r",
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      {
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       "text": [
        "\r",
        "39% [==============>                        ] 3,068,312   1.24M/s              "
       ]
      },
      {
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       "text": [
        "\r",
        "41% [===============>                       ] 3,230,488   1.20M/s              "
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      },
      {
       "output_type": "stream",
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       "text": [
        "\r",
        "44% [================>                      ] 3,392,664   1.17M/s              "
       ]
      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        "44% [================>                      ] 3,457,824   1.11M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "46% [=================>                     ] 3,580,904   1.07M/s  eta 4s      "
       ]
      },
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       "text": [
        "\r",
        "48% [=================>                     ] 3,719,912   1.05M/s  eta 4s      "
       ]
      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        "50% [==================>                    ] 3,864,712   1.05M/s  eta 4s      "
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      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        "52% [===================>                   ] 4,015,304   1.01M/s  eta 4s      "
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      },
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       "stream": "stdout",
       "text": [
        "\r",
        "54% [====================>                  ] 4,174,584    964K/s  eta 4s      "
       ]
      },
      {
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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",
        "60% [======================>                ] 4,664,008    783K/s  eta 3s      "
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      },
      {
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       "text": [
        "\r",
        "62% [=======================>               ] 4,834,872    736K/s  eta 3s      "
       ]
      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        "64% [========================>              ] 4,936,232    687K/s  eta 3s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "65% [========================>              ] 5,065,104    687K/s  eta 3s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "67% [=========================>             ] 5,208,456    675K/s  eta 3s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "69% [==========================>            ] 5,360,496    675K/s  eta 3s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "71% [==========================>            ] 5,497,560    668K/s  eta 3s      "
       ]
      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        "73% [===========================>           ] 5,633,672    682K/s  eta 3s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "74% [============================>          ] 5,755,800    682K/s  eta 2s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "76% [============================>          ] 5,881,776    681K/s  eta 2s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "78% [=============================>         ] 6,009,200    674K/s  eta 2s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "79% [==============================>        ] 6,138,072    668K/s  eta 2s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "81% [==============================>        ] 6,271,288    664K/s  eta 2s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "83% [===============================>       ] 6,410,296    659K/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "85% [================================>      ] 6,550,752    654K/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "87% [================================>      ] 6,699,896    650K/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "88% [=================================>     ] 6,786,776    568K/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "88% [=================================>     ] 6,801,256    546K/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "89% [=================================>     ] 6,905,016    533K/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "91% [==================================>    ] 7,032,936    527K/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "93% [===================================>   ] 7,199,456    535K/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "96% [====================================>  ] 7,416,656    556K/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "99% [=====================================> ] 7,675,352    589K/s  eta 0s      \r",
        "100%[======================================>] 7,700,344    596K/s   in 9.5s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:21:08 (795 KB/s) - `rhum.sig995.2000.nc' saved [7700344]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:21:08--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/rhum.sig995.2001.nc\r\n",
        "           => `rhum.sig995.2001.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE rhum.sig995.2001.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679312\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR rhum.sig995.2001.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679312 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 136,112      590K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 8% [==>                                    ] 649,656     1.25M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "15% [====>                                  ] 1,175,776   1.55M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "22% [=======>                               ] 1,734,704   1.74M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "29% [==========>                            ] 2,297,976   1.90M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "36% [=============>                         ] 2,804,776   1.96M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "43% [===============>                       ] 3,331,848   2.03M/s              "
       ]
      },
      {
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       "stream": "stdout",
       "text": [
        "\r",
        "50% [==================>                    ] 3,864,712   2.08M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "57% [=====================>                 ] 4,414,456   2.12M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "64% [========================>              ] 4,965,192   2.16M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "70% [==========================>            ] 5,450,272   2.17M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "76% [============================>          ] 5,864,400   2.15M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "81% [==============================>        ] 6,296,856   2.14M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "87% [=================================>     ] 6,734,648   2.13M/s  eta 0s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "93% [===================================>   ] 7,186,424   2.13M/s  eta 0s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "98% [=====================================> ] 7,581,728   2.20M/s  eta 0s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,679,312   2.19M/s   in 3.5s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:21:12 (2.10 MB/s) - `rhum.sig995.2001.nc' saved [7679312]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:21:12--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/rhum.sig995.2002.nc\r\n",
        "           => `rhum.sig995.2002.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE rhum.sig995.2002.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679312\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR rhum.sig995.2002.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679312 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 101,360      472K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 6% [=>                                     ] 486,528     1.11M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "15% [=====>                                 ] 1,224,512   1.83M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "25% [========>                              ] 1,957,696   2.23M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "32% [===========>                           ] 2,493,456   2.29M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "38% [==============>                        ] 2,964,056   2.18M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "44% [================>                      ] 3,408,592   2.16M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "47% [=================>                     ] 3,660,544   2.04M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "51% [==================>                    ] 3,925,528   1.95M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "54% [====================>                  ] 4,196,304   1.89M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "58% [=====================>                 ] 4,471,424   1.83M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "61% [=======================>               ] 4,753,784   1.79M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "65% [========================>              ] 5,010,080   1.72M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "68% [=========================>             ] 5,267,328   1.69M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "71% [==========================>            ] 5,485,024   1.64M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "74% [===========================>           ] 5,708,016   1.67M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "77% [=============================>         ] 5,939,696   1.66M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "80% [==============================>        ] 6,174,272   1.49M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "83% [===============================>       ] 6,413,192   1.37M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "86% [================================>      ] 6,652,112   1.32M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "89% [==================================>    ] 6,895,376   1.20M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "92% [===================================>   ] 7,132,848   1.16M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "95% [====================================>  ] 7,329,776   1.13M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "98% [=====================================> ] 7,578,832   1.12M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,679,312   1.13M/s   in 5.1s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:21:18 (1.44 MB/s) - `rhum.sig995.2002.nc' saved [7679312]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:21:18--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/rhum.sig995.2003.nc\r\n",
        "           => `rhum.sig995.2003.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE rhum.sig995.2003.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679312\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR rhum.sig995.2003.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679312 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 142,856      664K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 9% [==>                                    ] 709,520     1.62M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "18% [======>                                ] 1,408,904   2.16M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "27% [=========>                             ] 2,144,488   2.47M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "37% [=============>                         ] 2,903,240   2.68M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "48% [=================>                     ] 3,699,640   2.84M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "57% [=====================>                 ] 4,399,024   2.90M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "64% [========================>              ] 4,984,016   2.87M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "72% [===========================>           ] 5,596,520   2.87M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "80% [==============================>        ] 6,217,712   2.87M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "89% [=================================>     ] 6,849,992   2.88M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "97% [=====================================> ] 7,494,848   2.89M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,679,312   2.89M/s   in 2.5s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:21:22 (2.89 MB/s) - `rhum.sig995.2003.nc' saved [7679312]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:21:22--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/rhum.sig995.2004.nc\r\n",
        "           => `rhum.sig995.2004.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE rhum.sig995.2004.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7700344\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR rhum.sig995.2004.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7700344 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 120,272      554K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 7% [==>                                    ] 614,040     1.39M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "15% [====>                                  ] 1,158,488   1.74M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "25% [========>                              ] 1,941,856   2.21M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "33% [============>                          ] 2,580,424   2.36M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "39% [==============>                        ] 3,032,200   2.31M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "44% [================>                      ] 3,427,504   2.24M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "49% [==================>                    ] 3,828,600   2.20M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "55% [====================>                  ] 4,242,728   2.16M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "60% [======================>                ] 4,669,888   2.15M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "66% [========================>              ] 5,099,944   2.13M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "71% [===========================>           ] 5,535,792   2.12M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "77% [=============================>         ] 5,980,328   2.12M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "82% [===============================>       ] 6,356,992   1.59M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "83% [===============================>       ] 6,425,048   1.51M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "88% [=================================>     ] 6,802,976   1.57M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "94% [===================================>   ] 7,254,752   1.60M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,700,344   1.63M/s   in 4.6s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:21:27 (1.59 MB/s) - `rhum.sig995.2004.nc' saved [7700344]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:21:27--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/rhum.sig995.2005.nc\r\n",
        "           => `rhum.sig995.2005.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE rhum.sig995.2005.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679312\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR rhum.sig995.2005.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679312 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 105,704      489K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 6% [=>                                     ] 534,200     1.22M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "15% [=====>                                 ] 1,216,208   1.81M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "24% [========>                              ] 1,889,528   2.14M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "33% [============>                          ] 2,594,704   2.37M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "43% [===============>                       ] 3,315,808   2.53M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "52% [===================>                   ] 4,052,840   2.66M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "62% [=======================>               ] 4,817,384   2.76M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "72% [===========================>           ] 5,580,480   2.85M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "82% [===============================>       ] 6,360,952   2.92M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "91% [==================================>    ] 7,035,720   2.91M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,679,312   2.97M/s   in 2.5s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:21:30 (2.97 MB/s) - `rhum.sig995.2005.nc' saved [7679312]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:21:31--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/rhum.sig995.2006.nc\r\n",
        "           => `rhum.sig995.2006.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE rhum.sig995.2006.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679316\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR rhum.sig995.2006.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679316 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 140,456      655K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 5% [=>                                     ] 445,984      699K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 8% [==>                                    ] 679,112      801K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "10% [==>                                    ] 768,888      726K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "17% [=====>                                 ] 1,340,848   1.03M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "28% [==========>                            ] 2,208,200   1.46M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "43% [===============>                       ] 3,311,576   1.91M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "59% [======================>                ] 4,542,376   2.34M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "72% [===========================>           ] 5,532,808   2.57M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "86% [================================>      ] 6,620,256   2.79M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,679,316   3.00M/s   in 2.4s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:21:34 (3.00 MB/s) - `rhum.sig995.2006.nc' saved [7679316]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:21:34--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/rhum.sig995.2007.nc\r\n",
        "           => `rhum.sig995.2007.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE rhum.sig995.2007.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679308\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR rhum.sig995.2007.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679308 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 111,496      521K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 4% [>                                      ] 327,680      253K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 5% [=>                                     ] 407,320      268K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "10% [===>                                   ] 805,520      466K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "20% [=======>                               ] 1,597,576    825K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "35% [============>                          ] 2,693,712   1.23M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "48% [=================>                     ] 3,707,312   1.54M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "61% [=======================>               ] 4,748,424   1.81M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "73% [===========================>           ] 5,646,184   1.96M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "86% [================================>      ] 6,623,584   2.14M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "96% [====================================>  ] 7,417,088   2.24M/s  eta 0s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "100%[======================================>] 7,679,308   2.28M/s   in 3.2s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:21:38 (2.28 MB/s) - `rhum.sig995.2007.nc' saved [7679308]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:21:38--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/rhum.sig995.2008.nc\r\n",
        "           => `rhum.sig995.2008.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE rhum.sig995.2008.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7700344\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR rhum.sig995.2008.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7700344 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 111,496      521K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 6% [=>                                     ] 500,312     1.15M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "17% [=====>                                 ] 1,311,192   1.98M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "24% [========>                              ] 1,878,312   2.14M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "34% [============>                          ] 2,649,144   2.43M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "42% [===============>                       ] 3,254,408   2.50M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "50% [==================>                    ] 3,874,152   2.55M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "58% [=====================>                 ] 4,501,136   2.59M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "66% [=========================>             ] 5,149,840   2.64M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "75% [============================>          ] 5,805,288   2.68M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "83% [===============================>       ] 6,463,176   2.71M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "84% [===============================>       ] 6,488,064   1.91M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "84% [================================>      ] 6,538,248   1.79M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "87% [=================================>     ] 6,732,776   1.74M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "89% [=================================>     ] 6,884,816   1.68M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "91% [==================================>    ] 7,044,096   1.63M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "93% [===================================>   ] 7,206,272   1.63M/s  eta 0s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "95% [====================================>  ] 7,368,448   1.61M/s  eta 0s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "97% [=====================================> ] 7,527,728   1.53M/s  eta 0s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "99% [=====================================> ] 7,692,304   1.34M/s  eta 0s      \r",
        "100%[======================================>] 7,700,344   1.34M/s   in 4.9s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:21:45 (1.49 MB/s) - `rhum.sig995.2008.nc' saved [7700344]\r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2014-06-04 06:21:45--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.dailyavgs/surface/rhum.sig995.2009.nc\r\n",
        "           => `rhum.sig995.2009.nc'\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... 140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|: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) /Datasets/ncep.reanalysis.dailyavgs/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE rhum.sig995.2009.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7679312\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR rhum.sig995.2009.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 7679312 (7.3M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 91,224       422K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 5% [>                                      ] 386,616      902K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "10% [==>                                    ] 774,680     1.18M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "15% [=====>                                 ] 1,183,016   1.35M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "21% [=======>                               ] 1,617,416   1.48M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "26% [=========>                             ] 2,063,400   1.58M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "32% [===========>                           ] 2,522,416   1.66M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "38% [==============>                        ] 2,991,568   1.72M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "45% [================>                      ] 3,473,752   1.77M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "50% [==================>                    ] 3,886,432   1.79M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "55% [====================>                  ] 4,239,744   1.77M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "60% [======================>                ] 4,617,672   1.77M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "64% [========================>              ] 4,937,680   1.75M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "67% [=========================>             ] 5,212,800   1.71M/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "71% [==========================>            ] 5,503,848   1.69M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "75% [============================>          ] 5,802,136   1.74M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "79% [==============================>        ] 6,106,216   1.75M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "83% [===============================>       ] 6,410,296   1.73M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "86% [================================>      ] 6,676,728   1.69M/s  eta 1s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "89% [==================================>    ] 6,911,304   1.64M/s  eta 0s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "93% [===================================>   ] 7,151,672   1.56M/s  eta 0s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "96% [====================================>  ] 7,400,728   1.51M/s  eta 0s      "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "99% [=====================================> ] 7,652,680   1.46M/s  eta 0s      \r",
        "100%[======================================>] 7,679,312   1.46M/s   in 4.8s    \r\n",
        "\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-04 06:21:51 (1.53 MB/s) - `rhum.sig995.2009.nc' saved [7679312]\r\n",
        "\r\n"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "First consider simplest one file case. We open the file:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "f = Dataset('air.sig995.2000.nc')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 10
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Get our variable:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "air = f.variables['air']"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 11
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "And display first time step:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "imshow(air[0,:,:])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 12,
       "text": [
        "<matplotlib.image.AxesImage at 0x34f18d0>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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HuM4AKNemwySlCGs3JEvqPNBs9lxUVzRujzMeHx17v2LoC8KdJb4xyUfyltTn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A6oFmaGGvxC9Xytmvnk1RcfsdMkuR3Abd95EuIlnXqLBXXtNe3cArUthFBdJ5jt12Tm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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x35073d0>"
       ]
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Obvious thing to do is to browse through days. We make our plotting function:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def sh(time):\n",
      "    imshow(air[time,:,:])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 13
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "That will take day's number as an argument:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sh(0)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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HuM4AKNemwySlCGs3JEvqPNBs9lxUVzRujzMeHx17v2LoC8KdJb4xyUfyltTn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A6oFmaGGvxC9Xytmvnk1RcfsdMkuR3Abd95EuIlnXqLBXXtNe3cArUthFBdJ5jt12Tm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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x3525b10>"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "And make it interactive:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "interact(sh, time=(0,355,1));"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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WhrUC9B12Kms+a575qcBNFsdOv8Ix8FtXkAKFLafnr1Vh3uuSyInV8plly/q+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\nHb8RBe7HqIVg2buTbAApcj1C2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       "text": [
        "<matplotlib.figure.Figure at 0x35e8590>"
       ]
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "But what if we would like to switch between variables? We can do this by adding another argument (we just open different files):"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def sh(var='air', time=0):\n",
      "    f = Dataset(var+'.sig995.2000.nc')\n",
      "    vv = f.variables[var]\n",
      "    imshow(vv[time,:,:])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 16
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "For our `interact` function we also have to have list of all possible variables:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "variabs = ['air', 'uwnd', 'vwnd', 'rhum']"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 17
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "interact(sh, time=(0,355,1), var=variabs);"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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yaItZLa/HOnW6yYc95e+SRZYeddT5tEddAJx3vKKOkU6rtW39eU3WMT2sPK7uKao+Ox0H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A6oFmaGGvxC9Xytmvnk1RcfsdMkuR3Abd95EuIlnXqLBXXtNe3cArUthFBdJ5jt12Tm\n0z3GvTgqjNqhjbb17HOtZWhcm86nqCvhAWaWnUx7dlr2gkUvBra7vDbyRPrjAe0KLObkgcYqZaDd\nqXqizHpSZtB1lcdEYD4EGGRCPRzhi0k0qXuWR0j6oixAWwddE2Haw6hbWm1yg3YQZwB7dea7uq7N\n7Eo3DwraKGDnRNl+67fre5/TeuLVybOZ6goROd1GWYY56gREyN0ga0Hmb23rAnYYQgCea7teIcTI\nTrX3ZMySKVWbALtGtJuI1NvIXIcAeusGrgHnvADrmFuIyG7AwMyuDLyHsUQctEMeZoYdyviZ3+Pe\n5w8lCJFyBFnSvHLZPGQMfM1k4vOuZfkM2itlsTSbaPIS2Ou8fWRJ32b27MxIoZyMU4+X2jUHSgf6\nyvmx700ga+Pe8jPiUNupWmTwWF5mRzPt1NirlcFI3ih1aCKzu1197uZcVk8aU3meB7mmR9kFOY5F\nODYr7TmfPJScmcS9b5YZWYjIrNV4c6UXLDWG+Ln6RPrwoO3pLSxtOr6wIBXxTryNgncLWx0cbQtx\nA3GLbHe3waIzJx6hSeLb6ZmIxz3T4EAX05IA/24PuwnGQ1nEsQMZ/MQKa41dAfCqnlyrSGu6sJvZ\nwQa7B25/bJPlW7Ml7wpRDwhX1inD0IuQu1ch5913fRVsRb1Dd6Tp38/1ehHgWVBTZC7qugftLogt\nfdOKC9dmC5cDxF7trwpMu04WfT3LC1A2Lvz/7b1rzG7LVhb4VNV8L99lrb3PEUUNKheDR2k6os3B\nC8rSaJQg8kdNt6GN0iFCJ7bxBtGk20PknxiNGokxkogYuuMFlcSoIbrUqMiJHGz0cI7g4S4c2iN7\nr7W+y/u+s6r6x6gx66kxa77ftzZn7f1tfUcyv/l+81o1quoZzxh1mTp6p+TVmc4vX+rCUM4Nyr5T\nZdbN0DAjDOi65dLhpetd60JXAZWBp1KGWhxc1AG1A3XSh8e0kBg3ehb9CkrOqOtHM8CTe87D/ODM\ndSAQbzJLOmDXiEFGz1mSwpWEAcfTPej8tsLEDZC2/xiIjz3GM488OAyHiOHNhMNzYLwCsC+6W5Xy\nL4MQJqLDbozWjwwZ4HAA0h5IN7KN+q1JJQce7bR01HbvXA3LpCTkYCqX0r49UNRzoYUAACAASURB\nVL3iXq+3ps/qr+MN9+TtAW0GLKVyXLjccLiTorhNg4N8xDMKiLst4B5BqKA+u8TEwgvpXOMIgupJ\nw9YDhDE6CAt7lsTSXkTg/FYapoZFgkezoHl3thNXDAZull6LtGJZM7tUykr4i9aMDPqbe+35fR0W\nNEZZdP7FrYSRnkMAWUOZmmQlRw51fRYd4fE6BLQvHXARhP0cSvhAk6Wy8hISWa+A1RYYzoGLvXxA\nOGuM1QFhLY1RezBzLM9xqDF9TWAHKFwsjShJ7D6n8oxoytCjy24nldE5XTcnemD0UkdSlpDLNEQz\n15i/9TJ0yYKGaRdw8Et1BpgWU3Oo/Ru+sEsAtawLuNg1tNsMLRzjwlbAZuDma2197zFFS0R66WFM\nGM2+rLUdX/fYXawQB4ezPTC8kXB4Bly/KKTsDBhWqKPLcmG2ZURaMxNM69IOiFdCzMa9kBadBMeL\nP+mQ2sZ4U/uZvm1Zyk9nQ05q7nm37F1wJy7o3AKRYHl7QFsTrDXZMmzQMUUD3R+E1XgdGqR0T6e/\n8lT3K1Hg+go49zKEbZ3bJKj+1uURCZiGCukXuL2rQD0tBjN0rCdXYp4N1pNsNqBfmfkcJ5gBWy1S\nMs/g5/eAW6WUQxyB21HWt9bQxxrzZGoyLorOBg+cBdHxhZNFfLZeWHROwDBKOGsCj1Lph6EA9hoI\nGwFmn4QJw2Naltdty4tupZFlWr53aqCW4bExjaWsVAeFeStoLzaQXoPJ9RkK3ChxeHaRU6oAO01Y\norJ0roZllI0rm5s+Xu36759W8tPrQ3XVeVljQMCH17rp1TVn89/LMxuSu8iIJS/6XHa1OC18Tymv\nCRd04sTrgLvMcCHD752M4f44ML4J7MrosI1DGz5U0Rg5T7m9kfdMQ10Lu1ZjOKCy7Gk9kUAemTJp\n0oOLxavja5Z0wj3Otg7bOvmOh0d0+M6AWjhaKSzDTuX6c9SZHEANGr5ABW7NoIJ3GYLkM7B5A7gM\nslLXTZJjHK7T2/TYxMRdnbbKY7I9gfbighyW8QEdXxdtz5UF1Z5Lqs9Vdq3soWcgLOvuAbiGHMow\np12qnYups2XUdqT2YhtkmOR2I3paDTUOiLG4njTWXTtS/aqwaJ0QVNKalSkqjdcZcdeAKwH06ctF\n6j5pPq1bqeVh8goPuIO5znofvY406m10Baxdafy8KqP+D3vcAhcq0E+s2ZN7bchME+4oXgbPEeiN\nCXYo4MSdYAzajp5xzPuzTFqvtx6zDUfwtdZlY0OrIT5Na4CU/yWA14FwlrAZR+QXwPBTCfgxIL0h\nI8jggGQNtqZFMcFiiA4fDhWc1wyeqPoLA7FnDseRoXMJUwdvs/wtb9wXxXtOu/VWlohfkbcPtPWL\nskuDXLXgtOFqb3JAXdhCFaEukBbyOWrs81bGW28dcO4EkKa27tr6tXWkp1KRvZPOzvUKdZidR11g\nXZGLFc2xM3Zbe8KDfdmHZnbDhcagzR2Q1uj1XFJ2d1n3hWnoxyF4zZDG8Luiq6Kbi8KszzbA2UX5\nwAXH14FpskTe1ZifXwlQO71WDTSPduHGpqGvolenq05pw1a3uhc+Ypai77Bj/Zb2XLaqR71fgbuA\ndlO+DIy8144xZuEaSinx9Qm0A9UxZhhcKDZ/LAokJT3TsD62wJpWTrclDhZ0vPnf3sdgyeERjzlo\ns+vGxlXrpTbOsiyzDxnr6xH4L0D6SSD+OBDfkA7DECCfJWTQU5zRsacbyntp9NMch3Vt8xomy6W+\n5oz5WiIWWB3q6BAW660xUFvssHpb8nyMvD2jRzixWlAWuLVnUEFlh5bVnkEKN5T9OdpPix0g7vQN\npoXTfQa2JVZ15sWd0gHzGr+avoJRXBtevUsn9UwMm8dGL4VHLHhaUfdMgYC9j55bykxmqTB7TIgZ\nGDdafef0QU5MEadz0LIPHnjdA6+Vjt+wkmn+qzJzNChgWyAp5eAOmPoGHMcdtcaVRYGgYHUGGWP4\nGgSwL+nZGrvRWTha5srcVE/8fM0rAzcbF8tsPKonw7qMdL8tKxU2kNZNUTaWhKXrx2K9xtcLg54x\nVuvBHfPkltLC6eZx2T0jw4SBddPz6rieWz068yxrZGwdZl1ymENXAbwB0o8B+x8Bdj8JHK5Ed17D\nSmxgtSKz4VUd6PO3JYm65/SUOSEuYj5qyxoyNUq99sbP7JWjZdm23N9x0LZLxS2FBkDHDub/AGnU\nQI3lcgMj0MYtgTZKDNZJ/HWjrMZRzKoozJlK6VjZqlCbFxseuY/wcKdIe+uBWGtsGywLVyQb5+YG\n1GvMqeLVOeryqY8d8PoAvGcNDBfSaeguAFdCV86yfhUthwOq+2h1pnktKzKK2wMB7fegMm29XvXP\ns6RUdwza+h4VBlL2bnqML6B6eRwi0ft0WuexcELvPZahc3xd7ztWz7Se93RtQdiyfC1niuE2hkg9\nFQW8nvdhj1k5VkcZtHvtnfOhetARYTrZ5uNA+hiw+xHgxcelg9slIGzQLiWhHqVdglVJUnG33baQ\nhI6n5A6QiX1KDi1oa3575WDbnUrP8LKuVEeWMByR+4L2D0HWA9Lq+35Is/oWAJ8HWVP7yyFR51Y0\nPMKFx8JAzcpURWsD11juGSqQK2vnFcJuxBKHIMx6VQB6s2onZXhi0zNFWQvIrs0x0D6mbM0nDxZm\nFtRj3NxoemJZuWVEfA70jgIOQwDOA/Cal3HHPgtYP3YC1ufnwPoc8JdAUAqu/Q0KJNZt1tW4FOA0\npBHo/z1oamS5V1m2zuixutdGqfXHGjrrxtt02XBBpnvYOFgjbIHrLtDmMrTsm0DbcTyKDZMdIaT7\nga7X/V3vYS/BLm1sr7E647Qx47bg22PmPTKj79V3aF61nnDZ6GSAPaa1f90O02JQDkAoIIsdvQ/0\nfn3nSO/Q9/bKUTFmjZZYcd45z5ZpszfL0vPoLPtW47yhc0fkvqCdATwB8F/p2FdDJpX+LgB/BsBX\nAfiG2Z0626LXqPTJCtq68UcP1OXh4TtceW5Qp+pdQz4CHFEn4ARx7QeNq5a0TCNBejEkaxEt++Hw\nCF/Xq/gqWiltpV4CbpU7rO4M2HsGSBsLM61RYveXpYN1iMBZBh456cS92ADnl0B4DLhLCP3W+AmD\nti0PNeu20xmoYa+MtmNVB3y/jumboA0YKBMJaPPQY86qM9ZzJ++NfvW6wfzusc1joA06r/sF0G46\n5ZggaB1THWu9C/RMW8eWgLgX2umxcF78pceI1XDqeTZMFojY+LCxVgNr86zp4gVjdqjrT7wobXrE\ntORCBhBKPcseNfSmaWVA1frIBqUXstE60jNixgvv1vkl0OZ7rPfMRprb1B2o/DLhEQsf7wfw9RAV\nfxOAP96965x+M3CrIpiNDXRcmQEXNLsqXOF0Bf3CXsIaWF2gDpHSzgdulPo+6+YA8wK2TJvHEPI1\nnD+rMRtbZbC2wK0szMYarfGzhpDBhfPEzIDSFgBskoB2iLL41tkg2/oSWL0O+NdQA926sIhOfuIx\n+BZMLUhkVMAeUcNd+kyNY2/pHmZl/I4eaGe0erDGlD0dC4BLjcmyI2uEWMe8t+d6IYuXAW1mh+wh\n9LyoEfM6tbR6lrJQnlbOaVZhILEhmB7B4XSzN6zeEtdjNaAKrg4yU/FNVKZ9Lazau5K0jGmt/BHi\nIQY2zCzWY+6FNpidc+wfRsf8vwVtzR8wT0M29zGeKXHhNrXCUXkZpv1PAPwgBKD/PoDPB/CRcv4j\nEBCfyyXmjRC053gWAyRXvh6QK1Aryy7XuS1keN45mhmMjhsHu6NsPHqFpfcwy+YOONuwe2CqFcrG\nPJtViNA2NLbcttBt+qxb2mPn2mDIsvvSqeh3wJCAswQMGxl9Ey4Ar0B6hro0H++5J5xDEBa4qdMT\nB1Q3cIUactFNY9ccc2U3W8V2rgH9slPDrOk7psOeEdbrFHx6ntQxlqXCQMegDcyNhWVebHQ1PZxO\nrl/2e6q9usXneiNSep4nhxzYaCqB6bn63I/Fe24fajCUYR8ggL2G1IM3ISB+qK8fAenQ3QvzXjsh\nZ02d0/foRxe4vapo3WEymM3Wa0sW9NkwWoPHdYPrHeOKtift3F/jqNwXtH8tgJ+AfHn92wF8F/rZ\nmckH/jmmgn7yWbLNRK3dgFoR1PJyLI4tto4+0Pgp5D7nqY1bi8cAoCDcczMteHOD4o4hblCW6fbc\n6l5HETOeXsOygGDjiRZorBfD9ykglOe6LRDOgTDKJCRk1AqkIKpL9vGm1/BiLj2mrZt+Ok7Pu/KM\njDZOrsydP2fDeWKQtTFt67arfixo90JJtrysLrnROfMMmLT06pwFPC1nFSYRTAxsSJCv50bP9YsX\nRLF1y7Jw9VKt+28NE7/fGmfLqhmItN2o3hPmRoK9CC335+WaPYA3gPwciLvWMdCROICQtCZNTARZ\ntxybZg+IvRmY8/cR1rltr4mO98hBwZSnPwk8/Qk6dkTuC9o/UfbfB2HZXwrggxAQ/1DZf7B34wd+\nJ+adM7ahWYamlWrAnCno9QPaxsmWTsW+z7KoYK5jj4CfYS2jraQ90D7GfG0sbIkJcYH3XK/e+4AW\npHp61+MbVPDQ5zBg8JJ97PYudcbqs60rrs9UsNeOIU3Dhp6Vy7Xs6jLYsudi65I1dN48F2jjt9ab\n6jFYNt4w1+q5XiiI69wS6KkwS7V9KNabY6Ni89czmjx6xLYlBW2dBmsZoQrrXoXboQ0/8H3cPpQ4\naNvV8i8znycSdiPPzldA/gRw+ATw7AXwCQJDHRU2TS/veUaMblxuQFtGNnTSC4ew2Dal9ZvbMF/H\nYTVm/VS2Tz4TePI/YGLcX/ePsCj3AW39aPZzAD8bwG8B8Gchg7O+AsDXlP13du++oN/MNJfc6V6M\nV2dBqiKYgSmQ9iwjV0SgrfC2ETFocyOzccz7gLaNp1qmyGC0pAPLyiwYwDzXVjgLYEusQcGAO1jZ\ns+D8LeW951FY70jL9cLkx44ssvlXfS0ZP/7N3gqP0ukxSa0XvfBS774eC7fGvqdzqyfQeRUbXujF\nifk51mBynbJhGAbtHuPWtQssS2VZqmNWp/a86oufofWMw5xnqCExBe0S184/BRx+Gnh2C3w8U8jX\nAWcOMpPUtkMbGmNvqie2jHokjMXiBWMZhwKXQmZLITn2so7IfUD7UwF8W/n9CchIkR8F8I2QIX8f\nhQz5+9ru3XayAjCv6L1YLjNNHVHCFc+CvmWVQFsBudIwmMLcl80xy3ptOIL/t0yt535b8ObNslQ+\nxsZFxTJGFfusuPAMvY/BwbIjmGvtO+w5W9nZyGr4i/PMulAvR5kfG2QLFL282rRqedtGx0zdMtde\n2TpzjuvzkrfIBMDWEVuGlqlaJm2BuxeaW9IJA4n16JTd6sQlHsu95NHZtsz5UKC0k674Pl43J6HO\naNYwhQL4HjJJq9Qh/aCF8oohyKzl9RYyHPUStbOcZ95y+jgvNvxjPZdeu9V61ANsNpQ9TLLpANqw\njH3nEbkPaP8ggF/eOf4cwJfdeTd/VqjnXi0xTFYGDwe0Y057oQRWlAVS3qzbqmLDFsxUuLH3Grm1\n2D32bcFb02krQw/ULbtc8i6s9WdXmQGyVzEtKC29g0MrnA/eq640TQrCnH4OS/H9SyEHFi4na0i4\nbHr36Tt7daMHnLbsesbV1mUbVuFyZ6PJfSwW6C1w97wdFUuMet6r/lbQ1mUibB+SSo9pWybJbJGN\nCjNda5wS6qwuj7qGUPk4gdtBOswDpslvvmR/E4DNFthcQFb8fIw6LJW/eLLknVovyqZPr7X613T3\nogYWvK0uLVnrebM9Zm/kZYb8vTXhQuQE9ZjlEihpZbLuXQ+0OZ7Uq/y2IfTcPduJ02Mk1ij0GNrS\n+7lCWxeMdcDv6IH2kr74Wmt4tCJZZqp73mCOc1rsu5YqnD1mn20ru3ozweTD6kSPaRiEwdEa1p7+\nuCH16saSoec602ustj6qWKbO5W7B7Bhoc2elDbv06oJNH7c5BUiNJStw247Vnkd3zEBaUsJ51HN6\nb0AdiaT36tyLCLg3geGqLPwXZTmKsyATvzaPgfAYdQatdpzzAAPNb698bdnwkMulc1ov9dlLJItD\ndUugzZ6Jvrc3msfI2wPadqEUlSUmp6LX9oDHWjIOI+h9S7Eqrkg9F5OtpYJ2mSI/gTf3FvMzratl\nWf2x2BlQK5MF0B5oY+F/G25hls2/bYVjZsjv7unIvi/R/0uhDPssG2Kw4THL5vh9mi9Or3ZwWe+J\ny9KmpQfGnG8bY7aeCNACdUBbJ3vvY8/zmLe2BNi9/hQLGujsezrU0COPxLJhFL6Hf/fq/pLRZh0D\ntYwd6vBAHbOvbS3IfojAe1fyIZRhI9v6MbB6L2RSlk760g50R8/XvLAueW0SkB7t7FOYa6w31PPs\nmUz0+mcsaGvZake9XYCtI28faNtvfQHzuJItcD1mwYZDJT1XRStyr8OGn80sqyg0A43infawa0W6\nLhsz70zPtI3QxtAZqC2A9dLH6e6BtgXInntsXXfVX68DVO/tgTYDTY+VZ3OvTac1lFzelqX2wiYc\nktB6oMe5v0HfxeEh/S4gv9uOgrHp1frRY8GcP62bPZfZ5t8CtK0LltXbESU9wGa9WODuGV4uL9Uj\nM232bDkkaBl7Ns+3adH327ADg/6AOoJEP4OkbSsDeAEMN8BrEXhthxq7fi+AT4HMotURSDwunEOq\nDI7MmFUYzHl5BqDFFB7RE3C889bWid41to7xyK0j8upBW10fG9umTZdYzEVRLhedcSVgdsVMu1eZ\nWBm20XGlpcqWPZBcTYM+10XIQjK3suEa0rOtIM4TQawhYMbE+bHgYtNlxTJHmwcWy7R7QLIUYjrW\nedJjppYZLoGayrFrOB027TZ/mgctW/aw+PnceJmRKiO2zInF5rdXdzU96n7bTmT7vCVvjOuCBWrL\nrnsdkAoqqkd+Hz+3V9/Ys+l5tHbMt+1o1XexcP4tMbIeo8a0H0EA+HXUNqbM+wIC5gdI7PoRZOza\nzyrHFfA0X1zHtfw5NGlB2zJeDl9qW+Dy0Pz0jCQoj7FzzoqtZ8q2j8irB22emqkZZ7AsSmDA9EsZ\nTQLoXZDh/4E5aJct9xoo5HgKsvH7dNF7r6B9BalkOhPzFrWCWMt5jOH3gNvkdbGwjwF9D7CtcHiE\nQZD12gvHLLHBpfCBlWNGyoZHrLHhBqQxQwZKfj4zIXX79ZzmR0GbDSqnswfaS/myurMhHU4b7y2Z\n8HSMZ+D2RotoXri8GbiP5cGjBSYL3rY/x4K4DZ2gkxY2otzm+D6H+tGLRxAAfg9qmWiM+gLVU9I1\nat4DYduXmJeNBW3u91gCbdUJG4AesFuvQfNu28qx9meF28UncRr7Wxe1XATa2dM2OKTgkLxD1M9D\nZExf5HAl17qfgDvl8jmpXJa9zHDl66rT1zw8kIO8I6/kPdnJZiU7IHnZVOSr1Rk+JlnDZJXhhwy3\nBtwZ2nWe7aSNYP4H/baMsGdI7gJt65IC89hajwmwgeNGZkHHutv83iUXvgduVtX2uE1DL86u1/Ge\ngcOGZfT9yoC1MTKDYZZrSQIbp94QUU73EsO3ebbMl/VowyM9dm3B3eovYF7W/B6uKz3PYaDncQhK\nw0u9PiXW/TGPl9M6UtoG1OnbW7TDM7m/SBnoBdp1cDT+u6QX9iD0uPWwnDlnGbU9x+eBufegGxNK\nve4ub5rL/4i8vR2RQZh19kAMELAODmnwGF3A6AYB1Sy5c8jNBuQK5jnDIcGlDJ8FsH1M8FGucbka\nhhgc4sojhoDkPFJjJqtko1SXEzwSQkpIIcGvEoYVELYZ2KF+UcWyUwamHlvtMe0e+C4xth6DmWWm\n7HvM1bIA66n0QJtBsQfWPdC2zHTJgDBg2wZg77PM0ObF0W8OoeiMNRZmpraMLHj2yobBaQm0bWPt\nGW3rvRzr/OT7WfR4LyzTM6S2jOw7euB9bAQXl53tJLb1mQGd19zQkIP2I/FyBvrdxzO63noLPQ/X\nhvwYtFXvXLcsMLN+bFycy5Xrg/VYYZ59TLS8j8grB+28AXJRUgpOmLV3iAGI3iMGAdPRDRjdgAQ/\nwbQFbUc10kEA1WUBbZ8KaKckzDsDcFli1cEhDgHRh3KXvGNKY3lifbYckSsjok8IPiGEiDxk5HWG\n32TgkCXeHbMMT6LK4fTBHPtT6TSUTI0qAy1osVDDzd7VAnYQndlPcaeSrphnYZPJIyng6bjSmWtn\nTLYXJimVPFsw4Kzwu8u7XI/dM8O2LrcFlSWA5wam+WoSg34Z9cIUfL0FJ4/qgjNoZzqmYoH3mC6P\nGUJrCOxxOpePpGFyOq3npzq2hnWpAzt1rmV96TmOb3vUBcgUBLkeeAg468gQXQ3yMWroRD+a4NCG\nknhMNadBdcsditY78XSNJ/0FIPcA3dQJ/diF64G2to8lOUbEirxy0I5nEKAegBiCsF3vEZ1DdAGj\nF8COCIhQUG1pQw2RqOQCu2mqdN4neJfhcoLLoPMJ2QHZOQLrhrsjGy3pGQFtD+8yopeUjT4hhIQw\nJPh1YfYxwY+F4avBUPDuAYthyzlIWCbbAl0A7exc8SJKuMdLfuCKB0LA7TKasJHTBYnL86c0l3Q6\nBqNeXI7T1wGbHKqHMxkhzRe/N9V3I9WK3vUIemEee6zH4u96Dp/n+GyPaatYEOLhZL0lB6wXBcwB\nmEM1d/UXLLF2ZpuGxWdfwIallIdn4635Y/G0Z6PEejvmyVld81KwCrRreo+WQ4AA+uuojDlCAPwS\n7fA41YEdaaPPtMBpx0Tb+u3quRyAxHXaAzk40adpq9LWIFjQI2tKttwR4LZ1pSNvA2j7KRRyCAPG\nMCA6AecRw7RVwBbQznek3BdQBVAYg8Kv3p0REOERG4auklFBXE1AfXYSwEd9pncZLuRiWiJCls2n\nhBABH6N0WqbaEJytyA1wu6mxpSDhotwD7k665RoB6+S9GKQSq/cpwTegneFSnvaeVMGA7UsDzhNT\nyPNONetBAE3lnlVyvc1hSnPzXgWNJMZkAu4lFp4xBwcu2l5D4XNLQG7jj71wxbwg5sNQdSQLp7kH\n2jYccd8wiWVhHfDPfK93U3kkC9rA1Knv2QszADYtaax5tnV5qWwy5nU+o12GAph3CDNo6zBAXtBK\nGXZvMS0b2uBymwC33Du4pkOxQQgyfhLCbUlV9tLe6uV50qePWb5hmSF4MNM6kJxsfLKHUEvyykH7\nan2GVDI5+oBIrFo3AW2JNTNoK2jmCcQr527DJvXOUEDaISHBwcMTaDO7rmBtDYTerylRA+EZESYW\nKVd75yS2ngpQgkGxstsMCQ9NHaLOITo36Si7nolpEjddkx0Dthdi5yTt0+Uuy5azrCvOgA6U8FLZ\nowB7kr4CYQt5ug5ZmTwqOPrKrhFcqdxiWFTS5A1gKkf1RjyqQZnAu+hQQjaVtTSezDE2xyAB83uJ\nFS6FgSzD5aqi94xms14Dv78XYrKMe6m/wHSOVRCRY1lZYAlBZu+lXnk3IwJa6z0ZdJe1nLXvqG0Z\nqvfJkwSVS68MepsuDcyeiDVKGgrROrah9/GYbI5f88bhDwXbsqXBIa080iBtJvnqeatMnrn3SNMe\nE0u2SNz47D7DB/Hdfa4hXW7VCbWdt0FfluvuUeDtAu2iFGHYDNgeEQP9DhNXFmBOBNoa8GhDGb5w\ndIV+CWgk4tFp0rEqaYlhqywBdmh8aEwAmpyDDwra9YncGDQBEs+XEJGmIcIjudDw+/tIctXoaF6c\nS/COQBuQkFGnarDZUvD0Who5wxXWPjXoaY/pe30N+/AFnH07QicVo7Ts1eQCHolAhAEcjRcD9WLu\ny/AapR25xwK3JLAfU2axY5x7HXU90LYx67uYNnWgKVjrUFnudE+DR/RSp6KTGtyOmKLwYi4tLmcD\n4Fl0zn0kpRxYr76UT8F4yaL1eI6VEetYZU3nNEyicp9VNmmopHoe6m2Mg8NYBiVEBCQXqA1pcl1p\n7QVdXFtn5/1reWq5PjBu5DpggtXhajtfbu/vIGjfuO1URZhNR2g3n0JujWlPbKxki+PQQGv/BaLj\nBNMBoQFs37RejmX3AVuumgO2L+lg4I8IUuEdgbxvratzGT6n6V3Je0RPjQmuyfe8yxVTnlUPKhzA\nsZWK7/SOU45JH6wjCQGJBr2Cti+hFm3MxLQ1BKPMQzwHTB6EgkSGGJfk9C2WquRGb94Xll/e7UuM\n3k/vZdYPcOgHDPSWEdbXzd37HmgDLbu2YQzOBodZeBLKXSzePqsD3Jm2tPIyfLUYxTSRhrpP3k9b\nD3CmOqE1yhF4F4/M+zT1jdRQW+3wnxg5AKSMrEybdUz/Twy96MEJmUdmfbj2+ulfjXurmM7GbNi0\nhoQQUDwOX4cUe+lXO4SA6NuQLLe7ttXPBy7MW2ietd4pVOvqtfp0e9V9SZrKKwftW5yxHZo4bFVI\nDZGMhWmzOmxgBGhBWzOfCmufs+x89N6eKLwkUn4ohqGy4zAB9cTMHRdDrpY314JKziM6seLsPXBB\ncr5UON5f0+9n99h8cQipV6k0FdWMFv050l3QRlkqX84Fawpwy4vKC6u2J+24ULwo120AchtV9CCs\nOxQTL0MvlbWUGqKsLuepb0HiiSWmWNitM8yQFNoH8KWYuGXDFJLg+x0DdW8EherK029njpsOxBjE\nrR8Hj7gqpVQ8sww3MTdxu/0ULkumfrDOtT5M/6v+ndF1NvUlRfK+ZHRW402qGNC2oS3tjGvqDqka\ngAwy8KRHoBlCnAtwq7eh8ecc3NTfE33A6IdJR9EFHEyIlvGJ8UQJhm2bVqZ6S5lua3qejjmqBMeZ\n9rK8ctDeY91Yq9QopkajR1KgSJs9Zcw2e/o8B4+MhARv1NwPDVg+yv/XkEE1NQkOgbg3M1THOXO1\nGKY0uNzkP4Lhst4NyqEFN7b6KrYi9SqXBeqar374pzWvkvbyoO4zj4k+m/4IPQAAIABJREFUiT2s\nnpFpnqvMz2Xyydry4Hf7nKZO4RAjQkwIKSNEDU+1Lv5kfCzTtpuVCaRdYcCugvZUAM4YA9JQpv8t\ns9QLyGtBCYHw8NhxCBiH2ntjjX3PLPcAodculHQwA7f69jkhuAif0+QRiUeWwRlt31j6TFKeOp19\nzpK3JazKou6p0zCp3pzM8yhxe2Xa0rEncz5iEGIknYVeRqaRgate/WDYtKUybSjWsnEuQKt1Pqa/\nJx0bVqBI8TJyX9C+APCXAPxqiPP3+wB8GPIRhM+DfAThyyEfvm/kgAEJoVEQZ69WLDcBXeVvFf4S\nZW2JOTNgA6ok1xyr77VWtIIeg3EokBPhi1mREAwzU2uOqh9sbSz7AZ7Sw4GcfoPrATKD3xIQsr6s\ngeGnanCqCZfAdL52nsn/23LRrWek7FZ1VZ/nKS2twSEtudpLsgoHDH5EyBkhVxdfWWP9Hy04837J\nDhW15uCQgq/DLW15ZIdcwFn2tCliz4qINODqc7W/JDqP6DTkwca7LffWCZ+z7DmQ9Ix539ADmLwv\n7yJCrt6YhFAYyuqbFew99Y8oxmeHNtSiEZcyAQ/rqsNEzDkVXeTSwZqKviSO76eQUFK9ITRQmkw7\nbP3yeVik1uPQ/G/1egy82429nJeX+4L21wH4EQC/HwLaFwC+uhz7XZCv2XwVgG+wN9bhfDZmPRfO\nCENA7Zi0wZMqArapeXbGfILOPHY8D6ZwF6ECdEBApNHk1E3RADYbBwZqBmLLqjkd1uKzXpb01qtI\nPd22jTM159pR8jUktATavefztfMqWhuJ1Tvrag7cC2A96V3Y3+Ai1thjhcOUbr5mYoVJQGQRnO+Q\nVCaESUdy3/NhV3teB5aYb26eYcFDw2nWjV8S1n8PQOq7W8/KpsnZY077P3T4gOZyft+UWvKGpM+B\nPZ9cR5+o6DC8YsC08z4GHSa8atpKbb8txnCb6uvIz67VvY13t8dqG67GqT7Jtpmlussl+TJyX9D+\nTRCWfVv+fxPA+wF8PWT1jW8C8Md7N1YF962XKM/NEt426gpYfKetjKBj8lufNG8UQAuC/IRUiiQV\ny+rhS0R7MD5D25RsGtq0z/Osv1sXrT5NDVX1OloNzA0PwHqpemiv5kqj18dOKirTPgYPy9LL73yb\na0/z7JGhvQEMjgCNOimGNJYcxMnImmZdwAYhF6Y9byiqjVqGNfXTNc6VpRBaltYnAL5zbA622ugd\ngNTVT1syPcPfPs+W/zKgaAR5Xm+4jdkanGd1pVeaUxtxpAWfasgNysRzA9qTD6C6pn6g2ADzEkNu\nTMYCaM+Jgy3H2spDs9ccat3oEQtbFvPzLQr2sGxJ7gPanwYZdPONkK+u/x0Afx7A5wP4SLnmIxAQ\nn8mIwSiiVSizAQusvcpuFdWviFWWFDA3AnlSmwB2ggZsIj1LU92rsDDX8bFe45pb8bnt1SvQ6KEd\ndcJsQs/20tKmdx7WOdb4bCxurs+72R/roddgappTA9hWj1xfAoF2hPSNVE+oBW2nQyEX2oTmFh0d\nTNe4ef3tTQxbYnFcn2t++6DNaZo/Y0l3vfKL0/wF1R3rkutOT6wXKces/9TqnCHPIQtQO+mDsG3F\nsk1+wgSYrvpP89bXM47tuX5Zt7pkDSQq2x5oJ/hOqcw7JNtyaTt/2/Lv17ee3Ae0twA+G8AfA/Ad\nAP4yJCRyL/L1zR/44SmJn/vkPfjcJ+8t8NjGdLUytZW12iF9XZp+1yvYOdN7eY/p7Fxh+n/vmOXs\n8ourzRzw+Hk2P3ZvLfqxRqjc01ZSvk+vt0bMAne79StdP2/LkKzpuo/0G0zVrw3TaB7kPdrxrGXf\nBq/GZhbA3Ik2xVnSo29uQXteGsQCDTBYQnLcI+KAAhafb3W1HG1uyx/mSmtOGiMEdO4F5jXVAk37\nLAvatRwj5S+XjuZqN9lg2TRxuIOJjQVu1Su9ZaaF9ly/TPga3VfA9iVH7H+Aflf8qtjRem0y0a+t\nz3rV9z79BP7905+e6bkn9/V6vw/CsgHgiwH8HsgQ+K8H8CEAvxISHvkd5r78j/MXNspKTbOcg05P\nefV+ZlpyVDNhO1+sMbDFWBXQc5P5yvYKBjJvbH8NJ9gQCVeQ2pTaRrwc61exTIt1pE2hFyNbyq+1\n7scAe9m5b9N2H7ENpvo0ytjGKV5q2Yfew+XZBt+0eUdTy/oMiNMzz8NyjqpG+h3ItpvJmkcb7rH1\nn4G9pqLNQXt8buxhzrb/J7TgOW89mD21l4o5u2dCo+G1em2rP6sxqy8bW557NbX99NLdK4fevIil\n8kgmN/pUfnMPaDkF9k09U2JZ+xe7f9YmnOS+Me3vB/AFAD4I4EsgjPtnAfgKAF9T9t/Zu3FuAZdc\nxmX32lbkfjXqb1yYS2yj9765IZG/PHbbwzVmh0Gbn9OP/s2bieaEc9VL0xIzAKXPVlarLd3POSI3\nkTSxA492ZM68XJbLj99X75UjFrS52c1BpL6Ln2037iRuA09pliarW5v+Vs9truZ1cdms9epme07u\nn18/l7ZWaspagO8bdU7lcpjCbvP392O2c1PcctKePhxqqIXPaR6WOgQt/AmPnXfwWT3zM4+Vu4oN\nedU8p6J1bW3zsqtGl99Shwuz7nQIRUYb3uzJfUH7jwL4Zkio5DsA/N+Q+Ma3APgoZMjf1/Zu3Jtv\n57TFOo+A2crG9/RAO09VYzkMUe/0ZP2XK589xuEBy/64UtbKJXdb/sex55ruWtx3GRathBXc5rpI\npRkcq4g95smGjR1SG7ix77IuLJcfP1N1zrqU/2sTq88WpzpSGVT+NGf0/K76vr4XNDd91Rjwnp/d\n5r4F8RYMqy6tzPsrjjN6TWNPmNnVck5UJjI7h4HOdsbZNC61i9zcA6OJfqd27ZOwmmHJzfN6RtQC\n7LEwIoCphQO5mY/DOkimVugz+uax9W71WbXVqr6q3lqckrbA9dgatrZtuakkj8l9Qfs/AvhVneNf\ndteNh863c2yzSVCXZT4Bw17fA+2lzoZaEDWelJELb7SgVZXPBTk3F23qGHx7oQ+GvwhdFYedUjTV\nqFaKpbzwe/u6ZO7fq5S8+kt9fh0lYs0qp62+s7qaI+zSujwcKpepDOP0Pu0U02e2XY5uem7NK1DN\n2dzLsO+zjEvzwYuJ8cSdJT23pT8Hvl4Z9Vz9ms6+Ie3ddyyc0+qufabqTSPJbd1bFmuYe+nldNaA\ngXZyKt+v1xwLqFkPVQFP3611wIK2fR6XOceXVTisYucL6DkbglOxdZKPy7vlP4+WSNm+jV75aR0E\n6iqkS+Vt5ZXPiOyBNtBGyzJlbgmcqhrsFVI9evda68Zv1WOchmqNtYAti6xVhKX1F2IBKZ4GUdlr\nm862uDIcxlIkmq6laG1dIVHf1i7EZQGbgWuYRruOBXIP07H5kl5z11VBYMSAPdY4YIUDVuWJ9UMW\nqq3VdMUBa+zLtsMa+0Y3NrxU3ym5aBtDLWUbLmnvastW0zQ2AJSx1HCOn22Fzc88D45SND+qYj2t\nY2/sGxg9x+De3sFEQ39bZsrPrHczO5TcanuR69v8KYC1kezWkHJ+9V3zzse2LrdtzXaAMnj66Xk9\nYfLAe0GUOfGyYUnJW5jeasvC0j4uBZ1VEhE6OHVcXjloj/d4hc0YW3v+nwvWSq+St/8v3anWWMZl\njwgTxAggrct+wAGrCZJ7gKiAtMEOG9xiMwHUniooVy5lAR48XYejsXVdlrpJ+oaSNgHLCpy8houb\n0hcQG+C0QKq/W3NVJ9dwRRawljt2JZey30w6koi/5HNTAHqLG5yV7RzXOMf1pJ8VDpMp0IbN9YPL\nikG7wkAtD8uQVMe24chewehukLxLjoG2pFXfqNcvh6iOMe2ltlJBxYFblY554BxqsIr1t8QsVQRm\nUqkJSpbqIiotO7cBKEkVAy2DJueLCQh7bgCmFlHJUV2RX1PBgH8ML2qra/eugCkbDcWx1gNk3zg3\nZcFlZcHepqNqb3nIIMsrB22Occ5ZyzwEomeWjtVz7VH7TsvkWXn6myvHobDGPdbY5S1u8wa7uMVu\nPMM+rhHzgDGFaXlZhAy3ihjCiI3fYeN2uMAVznGFi7KsolZOznvCAA0HKTvdNfAuMGo/EMF75caH\ntMIhrzBm3Q8Y84CYCmhnJzPYXERwESt3wOAOWLmx/C77ia+P7dTvsuWyGHPOHik70UUe6ntTMSR5\nJaw/C5fStbxXYY8h7LENtzgbrnHur3GBK1zgClvcTqC+xh4DxsZ15lKuNYV5d24qfC8uK3ViDkTS\n3PqgfYz99NJ1n2vm727faetpz+vg6/h/BmxLU+bX9ofN2TazlD99hkM7yMBGvK0ZsGSAwyIM1gdD\nQiLqerjVS9yXenNAwgEZh4kUsdeu71UNS6xdTVaP08/XBrG66Omph27H5Fi9uEveFtDWhNiAga1M\nwLFG0sb9sjnK7gyDXD+kMDRseleY4i3OcIstrvIFruI5dvtz7G7OcNhtkEeHNPrpizFhM2I432Gz\nvcHl8ByPwnO8jjcQIZ2dzGC1QqrFVmZ6jXPc4KzA10XhoFvssJ1AvGXeLScY04BDHBDjgDENiDEg\nxoCUAnJZbNn5DOcjfIgIfsTQ7KOs6kZLy+bokJJHjg45OaQo4J+zQ44eOXnkFJBy2Y9e9JK93Det\nvSHvRgD8eoTbHLDZ3uJse4PzNYP2Dba4bUBbjZ1tCNzodRvIz9AG7Rtg4Dpja9W878L+rw263jXv\njGs321U2r889INDfClA6Yuc+om9tQxHKqOcjtDhg12PW/HueP2aTcyMo5aRvljdwWelen61tgwnK\nHmvcYjuZcpmgJ2nV8haPVq/aTXVHyr+tMxpr1x4tlTbwYcM0aprmQwG5/6ga/vnw1CUAt3XimPHv\nySsH7Z/Geya1jFxseUDMAciYGjqyo8V9ygNyZVX6dRVA2N9U6bJDykX1uVSAHIQRIiDmGvcdy7FD\nrpHVXdaAxha32OI6XuA6nWO3O8P+Zou4XwHRiU+5ArDKWGGH9eYaF/k5cgYGRJzhhkIXYhC0IFUH\nCtZXuMDz/AjP8yO8iI/wPD7CTTrDbRKWf8Aa+7wuS3D6aVEc/tZlHAPiOCBGjxQDUhQATbGsjp88\n4BJckC2EBO8jfPntXCpsGNrbh3SQZ8SxPHP0yEkAPEePPOqaoU7eEV27yL+KfkFkALCNwDZiNe6x\nSbc4i7dTmGSThWmvcMCQD1JKuY1RKmP3LmHwIwY/YuX3WPs9Nm5XSu22hKV2WBVjyXH6XmNYIgrc\nAMVTYohvu7rmoMbXVLisUV25S8fNzKVt6vdpxJb71fDIHBBqXu4Gjp4x63krNvXcMzQQYGvrZ+9T\nQxjKsG+xLYGz86lED1hNoK0GeoMdeZ/SRtbYA0AB7jYtYgJbD1xpH+djydyyEQcwmVTl9c48x+rH\nGkb7rt7/S/LKQfv78L5iG2sM9pDX2Kc1DnGFcRwQxwBEjxwDEN30IVrVqayJnJsV2nIBeyRUUClb\nSsIIk/4ubj0fjzk02xRayJWFj2lA1i946hczLjOwSfCrEZvVDmfDzeTubwv4OEhMbIcNRgy4xnmB\nEwHs57jE8/wYb8bX8GZ8DbfXF7i5vsDhdo1xH0QnOSDlUD8q4FG/COMgx5IYK2HFZR8dMDrR3fQh\nOo/sMqLLSC7DefkN5OnjASgL+Oe9Q9455INDHr3sI4CxPFvX0/QOKGmB9Me03+ZTfa0B7D2wA+Lt\nGvsrjzSsscM5rnBAyBFDjvC5LPmZU/nkWQbUoPgMFwC3SnCbEX4z4mxzg7PNDS6cMPZLvJhCUwri\n6+I+K1jMww3cXFrw1hFGlRUreZiPepg/zRfYrHe33Y+AdeH1t8o8ZHMMvNtOWh5bwsd9Ywqjyb0+\nid/Xnl8Cl+o1cCejADYDteqfPWAFagZrJTXCozfTYIYMN3lkB6wm7Uv1E99BupjVU6nlzdF4Oxol\nNhpoy0j7uxzylBebdy5/9mps4KXfX1WXoFNiuzR4Q+WVg/ZH8vuos0oKYRc3uI1b7MYN9rs1DrsV\n8mGFfBiAvQMOTtYS7H3Pj3/3vhbS+22vH+k5vb3gXAWeLeQL0JcAzjIQMsJqxHoooK2sEbvSIeKm\nURRaSFe4xFW+wDM8wpt4DW+k1/DG+DrePLwHh+dbHH76DOlFAK4gS3Bpeuy373ofeGWd2C+CJyCX\n37Nmr9frh2kPkCXBbgDs6ZhurB8Lzvrtvi1temzvgE1AGgL2wxp7Trv9ukukTUOZUzlk4HKEuxxx\n6V7gcvUcj/0zvIY38RrexCM8ww7PcIErjBiwRUBsXGcOc1QHV8GJwVjUWidn6dCs+4Q+GH41+ttj\nzG0XXru1o0jmnoKFmWpiZIx7je07cGeZdg/zUDMWfZ+8Yz7UrgU8vUPfVD0MO0KEGWqGm+LVSmQU\nqHW7xgVuSpjwgNX0Fu3/0HKR8EuawiYJNf7NeuRRGpp+bZv3ERv6sGVhR3ex98ADCHjEVe3DWk2+\niJK7Y/LKQfvH3/hFGOOAUWOvccB4GHDYrzDuB8TbgLwLwM4DOycNfIf61Wb+zp79dJMFcPv/seur\nfyvC4LiGgIQC9wbyodFzwG0T3HqEGxLghTXc4AwDRuyxxgtcTp1pGQ77Eoa52V3gen+Bm90Zbndn\nuNltcXN7jsPtGeLzAfmZE8DcoRqVjPqVFN4raPfyFc391hhxW2ejp/ft0QK2NQLZPEPTYj9Cy/rk\nd+n9DNJLZcUfb10D/ixhON9hdXGLy00L2K/hTTzGMzzCs9LkryhUUtkeT3pogxg1cs3gKWuayBrq\nlTHGqXwtU56DazvNBKjA3r++PkmvrbDdsjjbkbgUo+6NWec4bvUY6p3KmysQmf6UEvRoh8LlUh1S\ncxWvJaPpUpZ5KP07Ot5qh20hPGJ47FK7GgLb4rb0AN1SB3YbVpNq56f9fPwWB65aWeq70GcJKGsu\nKyjXAa0Sbt1T/upgg7LlNQ55hUNaSTg3DdP/x+RtAe289+J267YD8q0Dbh3yjSu/Aej+BhW8DmiB\nhRu1Sjb7pWP8P4OguvbrsimTZNDeYgJtv45w8mkURATcYosM17iA6urc5DPc5DPc7i5w++IC4/MV\n0jOP9MIjXcmGa4987SqbTZTWAXMQVDJhvQRm2np/pucdY+iR7u99VXxpkT99JuvSptW+yzJqa5D1\nmY6euc5wZwnr8z3OLq9w6Z7jNS9g/TrewGM8mzYeTjiUsejaZNkVreyIgYdj3Qn60Qv5DqlcN0DD\nC/POJ7mvDZnwuH4LqgpkdqS/ZW61e9ZPrMzORLXhCn0id9i2g0dp1BAqw1ZRXY2TFofp3YeJIfIE\nGMmRb3LThpRU9Mw4pWzVvCPDTfcDddQIgzaPPNK8WK+kNXTWdNkx/lr95uXZsnS5j0d/3U4pkoGt\nHOrRga4a7tHtkFdTmDhGXwYSyICCY/LqvxH57KyGOw6oTE63HkjkzmZDGMdCfHzOGlJm2BZcLCjy\n82JJ/41H9gFxXON2d448DNi5car4KEPkcvIY04BdXGMXNzi82OLwYov0PMj3fV5AQiHXEAO1R8to\nNY0WCPk3GybWU0Rl1cyMLdOuIe/6PP3EkwVrTpOmQw3dhjb1Uvir2Vaf/Bx9rv7mPG8z3CbBX0SE\nyxHrix0uti9wEZ7jEV7gsmzaPJR5zYcQ8kgUiW9adxmoQNIWfQ1wyLoRGbFxH6obzve0MVE7Y9Ua\njcpJ67QnOy5/RRBbQZtd/OpMtZOpatf4YYrxW+BmsKuehxiJdvhp6+pbg6HeCY/Z4ti2HamhU8GG\nEotmT6JWFf1eaDtaqI7vV6IUMJZOS8vsrVfFadXfurcsW++r+hCN3paRXjYWf4ULvEiXeJEucRPP\ncXs4wy5usY9rGaZbtjHVUV8pyQCClGU7Jq8ctPFmaQLsCmvD1GVJuCNLma265grmGpu2AN6Tu0Bd\nhQGCY7TKblHecYCwfwfkg0e+WWG/9oirNXZlFIb3uaQrA9Ehj0AePeLBI+0D0nVAvvbyHN1uy9Yz\nWNzBZ5msbg4tEDND7W3MfFkHms+eseTrrKHTMrQgvZROFgXpAXODUJ7pzmTUyXC+w/biFufba1wO\nz3GB53iE57gogG3B2gJEO3qkXXVOXssTMhiAMLs2o84A1CMyiqAdDVIbeg0rtDAWaEqTwA9P5uK4\np3bGtROohunZllkzuw5op15Zts3LGYge5vFZBms78UXzyX6CvoMjtxoc0HCHGhI7NFPHWddwC7Pe\nyr4Z+DVUpTrhaDuDcWtOtQ+jHVpq5wfYocI13CGh0KtCHZRG6P5ZfITnh0e4vT3H4XqL8WaDtPey\nlWGyKbkyhNaVEXSQb5C6fshG5dWD9v+H2hh7nU4Kzr34KTBnifcBYys2fs3Ps+yVQSxCGLC+dwTy\nygMDEIeAyKDE+eOOPWXRCtA7OqZ7G+IAPbMXM+aQiQVSzhs65+051qvVee9+C9o9sO6FR6bn5vLO\nAo269xnOQ77Evs7AOsNvDvCbA7bbG1ycXeFiJU1ER4tcEGAzIDBgs4sNoLDudj1uZlJ2WJgmXP9r\nY8c6JqN1p9kdT6bRc1BiN82f5VhnJ/ZJ45V7s14FNHWIYh25UXn5oQHoYTIhdqxJO+mM2b9MmjJg\n7WoHax0tcqCcSBhDDFodZ68Md02miMfei8bbGHvbF+GacgB4VLit3hy3556Aqq/5yOsqtlNxhw1u\nSgjkBR7hGR7jednr9hyP8Cw+xrPDY+xvzhCfb5BeDJWsaZShF1nQ9nNEXj1o/yD97nUYKovubbaj\nLNK9wHEAX2KZzGAtCCr48Ps0pKPg1Ots02dyh54dlcEgbUdmWL0w07YxYx5FYgH0GLjeBdwqves4\nv5ZF9zwUe/2Uj1S2LF/znvZlDHlI8EPE4CNCiBiGPVZhh+1wizN/Q06oOKI6YkeZ3XxIXxUbp8wl\nSGJjnrVZy/+gZmx5HzvVer4dUmZBux3edTC8V9k6T0DxkOURelO7bQxbuz25c5FzpSJHdHCqBerW\nMETIfAfZl0lV2U1l6p14msriJa3yMe8K1Gni6jrCo4XGCug8qarVsAQ7aijIlkmFeQ5vSFBLDYuW\ne5/JcihFn8A6aQ3rxowCqSZojzUOcY1xv0LcDcg6uOIGEg5VAqfAzZ72cZIN4O0A7R/CvBPqGHj3\nOqd64ZElsQxVNztczjJEjc9qPFcBt8duvXmPSm/Yoe7t8LkDnbc6sWGJHggPdM6msXfurrRbpm6P\n94wcg3RPn817MxAyEBLcEOEKQIdQtlXEMIxYDTVgsCmz3bbTXNU6YkC7fNYFtLWxt424bQFu1sTb\nRs/xZx66pY3Xgnuia+yYXB5hoEDNLFVDMXxOB+Rp/4iw0f0snVaWQEilpsXGqGuopQdAtWNQZtnK\nLFhx5dXoBkR4J6yZmbV2JHJMe4VDo1OOg3OMu1dG/D0Yq/NafnWIJo+jEaCuVVtXiKm602fXiLaa\nPAbidmWh7dSxaD2iQ15jjCvE/RppN5SRcRCgvkbty1oicHdEE+4D2r8Esn62ymcC+D8hH/P9GwA+\nD7Ke9pdDutda0frEfTc8+oE7wAL6w/WODeHD3Zls3sdsVscC90Y+2PBDL0as0nsuD1Xk33d1uLLe\neky7B8L2eG+Y4H1CJL1QitXN0m8FbAva2hHpHTA4YAjIK4e8ykirgDwkpCEjrhLGdcRhFTGEPXbh\ngH1YYzOscXA8jGpTmsottjijplOnM+v/ymPbkMmxNcJ1zyMNREl28goDDoCJ5XPIBaidm3yvvION\nhYWZ/vA9a5DsfUudnMoWNR7fdufx4mhlT2vZxBSmTQEbAJyXfpwcHAKA0SV4N8BjbXTaTlPXclSA\n5xV36jT0edxapQ16tV4NrwC5ZMasQVBD3453qUtG1GUutNdkO40Euc7F54sXuDpc4nosnY6HM+yu\ntkhXA3Dl6qADHhW3hGX3kPuA9kchwAxI8/txAN8G4H8H8COQ70X+GQBfBeAbFjRV70YngQp42ill\nR0Nkc92xDsne/ZwGvueAOXjxc2waW3PdTwMft4YG5n9+J/9vjcWxmPYSm16KL9sYs2XcS7HwY5vD\nMmBz2lYeWGVg5ZE2Ga54NnFVfq8z/CbCrw8I6z0OmxUOYYW9U8DeT6N569Cv+luhZ2NAm7cWyiow\nSJbvmsTSgiUgYJ3oNwDorLn6jKpYPm7ZZO+9PYbdRu15hp1HHT43THFYfpZ+/Niy6mlPY4djWRpB\n17SZ1pRBlq+q+4ycAecyoi9zER2adOvQVw0xqLndTIa2BW0dDcLhEr9QLuy19AyfNYKW5bejd9oF\n2fS3rku0M7VOqcJt3uL2sMXtzRl2N1vk2wHpZoV07ZFvPHDjaixb+7PUy2Z8eAl52fDIbwLwAwB+\nFPL19a8vyfgmyDci58IfrumBKJ+zFsf+fyy80gP2njXLnWMwx5dGUtzHONi0gvbWeFnmexdQ9mLG\nNuZswyjWECwBNBsVdH7rdUvx8GOx9cbguBKKcsjEzvMKwDojrz3S2iGtPfImIK5XOIQRt27Eyo91\npUJfNv3tZE2S4Ees/AFrd0DwEcHJwljBj2WBrLE97njRrPmQtDnXZfvaMsoaVW3PVfXl2f+965aY\ndQtAdpHTQGNF6vC8A3QllnXLrHP5vzDqQxagP+QBYxmOlmIZhpb8tBiYc/r1JMDljOQDYiz5cJiW\nXZCvp7cjLuoaljwX8IDaWRonw2o7k+deke0+bEeH90JWk6ku6xTFFDDmIPnNA2KSZSxk75FSwL4Y\nsGk1yyzLcBzyCoe4wiENOOzWsgTF7QDcBuDG9wccaCiER8X1Bh58EsIjLP8zgG8tvz8fwEfK749A\nQHwuW/O/7WSz5+76/1hs3LJcDk30GHA097ISLUBbsYDHDFbDPXxdL87OLHoJ6HpMuxef9uZ6C668\nZzlm0FQPdry2NXb8u1euvTyztzB1aCqQD4iDR14NiKsN9kGYnXSDxjCNAAAJSklEQVRU0hZy879b\nJbhVpusy3JDhhgS3inCrhBBG+GFEGCSGPgQFcR7QxjP5GDwsNMwBfmkyie1Ys8drcTCbr+zRxsnb\n8AdPfqlDCu247rpYW8CYV7LmTiwhkBwmoIolfp0iD0dzU7k6l6cF3lLMSM5jzAOS90jeI/qAwY0T\nYA+dlHCK7GBIhuClfggby+6VTGx0Utb2KAvVjVnWPBrHgHFcYYwD0jggj0NZGM0hjx5pdHUhtrIY\nmxqyrMcOMrQXey9zUjhGbeeg2D47bTP3BGzg5UB7DeBLUb8FeY9+TgD/8gP196c/AT7jyTJo3yU9\nYOmFSnTfmyLdizv3ji0x75eRXrjjGCAvxZF7bHoplKK/l/Rn/7e68eYYX2f3S0YTaMunF4JZjNk7\n5OCA4BED6rDK3kgV/r2mjY+XVRmxzsA6wa9G6QBdRYTViGEooB0KN3UjwaB0smkYJSDBu1h/IyI4\nhldi6q79kANQV6icdNAtIl9Wcux1kHJAhztD/QycbKdoa4LKZI4cygqRviw+5pCpszEXdl3LLUtI\nxCl4Ai44jKF0TJYwiQ8JB28nvvPbeyxaJ9Awq676U4huDVrHC8ktaGtJpqygHaa18cdDkFUyDwHx\nMCCPATgEYPTzoch2WYeI+VDlY8B8rK04AD/8VLZ7yMuA9hcD+LeQkdeAfJn9lwL4UNl/sHvXb/hA\n/2kvC4B6j1omlYDKdC1gsILs8d65pbDJXYB9zAD1wMmClo0tM4ihc40NT1gmfSyt99G7gn6i3xzH\nv6sSWj3flQ5m8QnSCDivvQ5iawA5pj4bnlhCMoNHDgNSKB2gYYUYUh1+qGESl+BdpqVr9f9202tE\nPeY8clMnnJP/m3kTpt7kciy7NjzCv5lzZuencMRSXLd7LJdj2bVMOpf35PrORhyQTL6yk2GbcChr\nt7c6sHy49R9yN2fVK2kri4L2lLYyIUX9Fc5DKvnTGYZ1nXcvK35mZc5OmHX0QPR1qWH21JeGHfdG\nuvUAGWjbVMC8XfziJ7Kp/POvw5K8DGj/L6ihEQD4NwC+AsDXlP13du/6wafCrlmy2b8VeStM/WWk\nl+5j6Vhityq9mPLP9JlWtLJ8/1Pgs57Mz/H+2Lth3m3T3QNte86CsgVwy+YjgJ94Cvw8k259v2Xr\n9hx7HN1zDvAO2Xvkcjz2QkxLIaxj5wDgo0+B9z2ZX3csD706Ye87Jsf0cl/53qfA5z7pn+ukpVd9\n4icrLS8jGcD3PG3Tbjv1LMG469xS3X0r5/i3bVMfewp8JqX7JeW+oH0B6YT8Sjr2jQC+BTK65LtR\nwyat/NDT+4HfQ5P7plsL564e4KV475K8VaOUAfynp8CnP5kfX2K+PaDmWJu975gXcuxYLz0sH34K\n/BKTbk7jEmjb7a7zS/dwWWpDvO+9/+Ep8AueLKfl2LH75LMnnwzi8l1PgZ/7ZPnZL/P8V02kWDKA\nf/0U+NQn7bFj9XGpTtprjt1/n2fb59trP/Z03j5fQu4L2lcAPsUcew7gy97ym/9bkvt4DG/Fq3ir\noK0hhvtcu/Qu+/99whz3ec+x4xsAjzrX3dc7uc/xY/9ro3qZe1QOQPk06N1petlrXsW9KtcA/ssr\nfserkisAP0X/v2wd7QHtkvxMn/2y54/Iq58R+d+L/ExCPZ/sZx6LJR+TYw307Wi8HtJx+E7LyzRm\nlfsayocmI2RI2rtRRsgsw3ebvNX2WeRVN8WnAL7oFb/jJCc5yUn+W5N/BuDJO52Ik5zkJCc5yUlO\ncpKTnOQkJznJSU5ykpOc5CQnOclJHqr8egDfB+D7AfyBdzgtd8kvAPBPAfwHSOfp7y7HHwH4e5DV\nDP8ugMt3InH3kACZmfrt5f93S7ovAPw1AP8RwIcBfAHeHWn/SgD/CjJD+M+VYw813d8E4OMAvpeO\nHUvr/wFpsx8G8IVvUxp70kv3n4ZgyndD9H5G5x5KuoF+2lX+CGSs0Xvp2INJ+4cgwP2LIAtK2XHe\nD0l+LoBfXn5/CoCPQSr21wD4C5ARxH8RwB99R1J3t/xhyNrmf7/8/25J9zcA+FOQZcUGAK/h4af9\nvZDvMV1ABin+AwC/BQ833b8OsrQyA8hSWn8OpK3+Qsior+9++5I5k166fzPqPM2/AuB/K8cfUrqB\nftoBIYf/EFJ/FLQfTNpfg4C2yp8H8CXvUFreinw7gN8I4G+hgvmvAPA337EULcunAfgOAL8BlWm/\nG9INAN+Dli0BDz/tZ5DvMf18CHA/hXgIDzndn44WQJbS+qWongMgbbg33entkk9Hn60CwO8A8M3l\n90NLN9BP+98E8D+iBe2XTvvLrm5xX+FlWwGh/b/qFb3rky2/GMDnAPgu3Hf52XdW/iyAP4Z2Iv27\nId2fBmHY3whZx+ZrIYD40NN+A+CrIcD9kwD+JST9Dz3dLEtp/QJI+EHlo3i4+fhKVJLyfjz8dH8Z\ngB8D8P+a4y+d9lcF2u9WeQTg/wHwhyAfCXrIk3gB4LdBJvJ+CPNVLR66bAF8NoC/DZlE8DmQryA9\n9LT/bIih+WUQNvWrIeXw0NPN8jJpfRVzfX+m8n9BltFQD6GXn4eU7nMAfwLAn6RjzuxZjqb9VYH2\nBwG8j/7/HCytAvhwZAUBkL8O6aQB6vKzwLHlZ985+TUAfjvE3fpWSEjnr+PhpxuQLyB9FMKWbiDp\n/614+Gl/P6Qu/wCAT0CA49fh4aebZSmt/wZijFTeh4eXj98L6UP4cjr20NP9WRAD/+8gbfXTIJ3Y\nn4q3kPZXBdpvlv2vhyT2N0MS91DFAfirAP492viSLj97hmPLz75z8icgnRufAfmq0D8B8L/i4adb\n5fshLrmH9Hl8Bx5+2v8FgP8JEpPcQNaZ/8d4+OlmWUrrd0EA8RdCvJ8EYbQPRX4rJBT429GuOvLQ\n0/29EID+jLL9GKQv4eN4YGn/Ikis5gcgQ1oesnwhRFnfAwk1fAhSQR7qMK6efBHq6JF3S7o/GwIY\n3wMZSXKBd0fafy9kbYgPQka/eDzcdH8rgP8MWRbqRwH8PhxP6x+EtNkPQzyId0o03XtIur8CYuR/\nGLWN/iW6/qGkG+jrnOVjaIf8PaS0n+QkJznJSU5ykpOc5CQnOclJTnKSk5zkJCc5yUlOcpKTnOQk\nJznJSU5ykpOc5CQnOclJTnKSk5zkJCc5yX938v8D3omGBPunMaAAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x3522650>"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Since we give is a list, `interact` creates not a slider, but drop-down list."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Let's add years to the picture:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def sh(year='2000',var='air', time=0):\n",
      "    f = Dataset(var+'.sig995.'+year+'.nc')\n",
      "    vv = f.variables[var]\n",
      "    imshow(vv[time,:,:])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 19
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "I don't want to select years with slider, I want them to be also a drop down list, so I form the the list with years: "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "years = [str(x) for x in range(2000,2010)]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 20
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "interact(sh, year=years, time=(0,355,1), var=variabs);"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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HuM4AKNemwySlCGs3JEvqPNBs9lxUVzRujzMeHx17v2LoC8KdJb4xyUfyltTn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A6oFmaGGvxC9Xytmvnk1RcfsdMkuR3Abd95EuIlnXqLBXXtNe3cArUthFBdJ5jt12Tm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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x351b490>"
       ]
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Two drop-down lists and a slider. Already looks pretty much like a serious GUI and all in just a few lines of code."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The problem with previous versions is that color scale is jumping together with data. This is not always nice, especially if we want to compare things. So let's add a check-box (boolean variable) that will switch from \"jumping\" to constant color scale, and upper and lower limits:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def sh(year='2000',var='air', FixedColor=False, vm=-3., vma=0., time=0):\n",
      "    f = Dataset(var+'.sig995.'+year+'.nc')\n",
      "    vv = f.variables[var]\n",
      "    if FixedColor==False:\n",
      "        imshow(vv[time,:,:])\n",
      "        colorbar()\n",
      "    else:\n",
      "        imshow(vv[time,:,:], vmin=vm, vmax=vma)\n",
      "        colorbar()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 22
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "interact(sh, year=years, time=(0,355,1), var=variabs,\\\n",
      "         vm=FloatTextWidget(value=250), vma=FloatTextWidget(value=300));"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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K7nZZYvIoabm7oV3yMzTWx92uGbFizKoLCQud2o8E70KyfctXZ9ysGS0r4pVF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\nEhISEhISEhISEhISEhISEhJOhf8Ps4I6oIWtALUAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x35e32d0>"
       ]
      }
     ],
     "prompt_number": 23
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Here in case of the limits it is not clear what widget `interact` should use, so you can provide the name of it directly. The list of widgets is quite long and can be obtained like this: "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.html import widgets\n",
      "[widget for widget in dir(widgets) if widget.endswith('Widget')]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 24,
       "text": [
        "['AccordionWidget',\n",
        " 'BoundedFloatTextWidget',\n",
        " 'BoundedIntTextWidget',\n",
        " 'ButtonWidget',\n",
        " 'CheckboxWidget',\n",
        " 'ContainerWidget',\n",
        " 'DOMWidget',\n",
        " 'DropdownWidget',\n",
        " 'FloatProgressWidget',\n",
        " 'FloatSliderWidget',\n",
        " 'FloatTextWidget',\n",
        " 'HTMLWidget',\n",
        " 'ImageWidget',\n",
        " 'IntProgressWidget',\n",
        " 'IntSliderWidget',\n",
        " 'IntTextWidget',\n",
        " 'LatexWidget',\n",
        " 'PopupWidget',\n",
        " 'RadioButtonsWidget',\n",
        " 'SelectWidget',\n",
        " 'TabWidget',\n",
        " 'TextWidget',\n",
        " 'TextareaWidget',\n",
        " 'ToggleButtonWidget',\n",
        " 'ToggleButtonsWidget',\n",
        " 'Widget']"
       ]
      }
     ],
     "prompt_number": 24
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Often you want to have not just simple *heat-map* representation of your data, but really the map. You can do this with help of Basemap. It will work surprisingly fast (at least in case of this small data)."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from mpl_toolkits.basemap import Basemap"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 25
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "m = Basemap(projection='npstere',boundinglat=60,lon_0=0,resolution='l')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 26
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "lon = f.variables['lon'][:]\n",
      "lat = f.variables['lat'][:]\n",
      "lon, lat = np.meshgrid(lon, lat)\n",
      "x, y = m(lon, lat)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 27
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def sh(year='2000',var='air', FixedColor=False, vm=-3., vma=0., inte=10, time=0):\n",
      "    f = Dataset(var+'.sig995.'+year+'.nc')\n",
      "    vv = f.variables[var]\n",
      "    tt = f.variables['time']\n",
      "    dd = num2date(tt[time], tt.units)\n",
      "    if FixedColor==False:\n",
      "        m.fillcontinents(color='gray',lake_color='gray')\n",
      "        m.drawparallels(np.arange(-80.,81.,20.))\n",
      "        m.drawmeridians(np.arange(-180.,181.,20.))\n",
      "        m.drawmapboundary(fill_color='white')\n",
      "        cs = m.contourf(x,y,vv[time,:,:]-273.15)\n",
      "        #imshow(vv[time,:,:])\n",
      "        colorbar()\n",
      "        title(str(dd))\n",
      "        \n",
      "    else:\n",
      "        m.fillcontinents(color='gray',lake_color='gray')\n",
      "        m.drawparallels(np.arange(-80.,81.,20.))\n",
      "        m.drawmeridians(np.arange(-180.,181.,20.))\n",
      "        m.drawmapboundary(fill_color='white')\n",
      "        cs = m.contourf(x,y,vv[time,:,:]-273.15, levels = linspace(vm,vma,inte))\n",
      "        #imshow(vv[time,:,:])\n",
      "        colorbar()\n",
      "        title(str(dd))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 28
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "interact(sh, year=years, time=(0,355,1), var=variabs,\\\n",
      "         vm=FloatTextWidget(value=250), vma=FloatTextWidget(value=300), inte=FloatTextWidget(value=10));"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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DaUyMwhlqILW6ppvHrizL1NXVcfHMGW6//Xbq6+ux2+14PJ4xWRalubmZnJyc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l7VQNXIOpSHx2TA4ApNM6qCggLOnj3LddddF5LjNUcaJHghZ3cOyfYk+t8QBkE6HaHygADeesHB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\nRosDxGwrp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       "text": [
        "<matplotlib.figure.Figure at 0x35e9590>"
       ]
      }
     ],
     "prompt_number": 29
    }
   ],
   "metadata": {}
  }
 ]
}