tutorials/05-Python-netcdf.ipynb

   1 {
   2   "nbformat": 4,
   3   "nbformat_minor": 0,
   4   "metadata": {
   5     "colab": {
   6       "name": "read_wrfout.ipynb",
   7       "provenance": [],
   8       "collapsed_sections": []
   9     },
  10     "kernelspec": {
  11       "name": "python3",
  12       "display_name": "Python 3"
  13     },
  14     "language_info": {
  15       "name": "python"
  16     }
  17   },
  18   "cells": [
  19     {
  20       "cell_type": "markdown",
  21       "metadata": {
  22         "id": "OFIaHCyd0qEQ"
  23       },
  24       "source": [
  25         "**Python basics 05 - download a NetCDF file and read it**"
  26       ]
  27     },
  28     {
  29       "cell_type": "markdown",
  30       "metadata": {
  31         "id": "IKDq7FUT1KMG"
  32       },
  33       "source": [
  34         "Run rhe code below to upload a file. Try to run it twice to see what happens."
  35       ]
  36     },
  37     {
  38       "cell_type": "code",
  39       "metadata": {
  40         "id": "7K6rHVEh0rYE"
  41       },
  42       "source": [
  43         "! wget --no-clobber --output-document=wrf.nc https://home.chpc.utah.edu/~u0703457/people_share/jan/simulation_canopy/wrfout_d01_2018-09-16_00:00:00\n"
  44       ],
  45       "execution_count": null,
  46       "outputs": []
  47     },
  48     {
  49       "cell_type": "markdown",
  50       "metadata": {
  51         "id": "tBF5Sq-M0sHO"
  52       },
  53       "source": [
  54         " **Exercise 1** Find the documenation of the wget command online and describe the meaning of the arguments used."
  55       ]
  56     },
  57     {
  58       "cell_type": "markdown",
  59       "metadata": {
  60         "id": "PkltxD-y0g-3"
  61       },
  62       "source": [
  63         "**Exercise 2** Complete the code below to read the arrays XLAT, XLONG as lats, lons, and variable tr17_1 from the file you uploaded similarly as in https://github.com/openwfm/wrfxpy/blob/829abe55c950840693dfae09adbb928ffdf3652a/src/forecast.py#L522, and print their shape (i.e., dimensions). Hint: look up NumPy shape online. "
  64       ]
  65     },
  66     {
  67       "cell_type": "code",
  68       "metadata": {
  69         "id": "3EuCTj_WHNTH"
  70       },
  71       "source": [
  72         "import netCDF4 as nc4\n",
  73         "your code here\n"
  74       ],
  75       "execution_count": null,
  76       "outputs": []
  77     }
  78   ]
  79 }