{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fetch the data using Python's `urllib` package\n",
    "This will download the data to your local drive if it doesn't exist already."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Import the packages needed to fetch the data\n",
    "import os, urllib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Set the URL pointing to the data\n",
    "url='http://thredds.northwestknowledge.net:8080/thredds/fileServer/' + \\\n",
    "    'NWCSC_INTEGRATED_SCENARIOS_ALL_CLIMATE/macav2livneh/bcc-csm1-1/' + \\\n",
    "    'macav2livneh_pr_bcc-csm1-1_r1i1p1_historical_1990_2005_CONUS_monthly.nc'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "macav2livneh_pr_bcc-csm1-1_r1i1p1_historical_1990_2005_CONUS_monthly.nc\n"
     ]
    }
   ],
   "source": [
    "#Get the filename from the url\n",
    "fileName = url.split(\"/\")[-1]\n",
    "print(fileName)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data already downloaded\n"
     ]
    }
   ],
   "source": [
    "#Fetch the data and store as the local file\n",
    "if not os.path.exists(fileName):\n",
    "    print(\"Fetching the dataset\")\n",
    "    urllib.request.urlretrieve (url, fileName);\n",
    "    print(\"Done!\")\n",
    "else:\n",
    "    print(\"Data already downloaded\")"
   ]
  }
 ],
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