Skip to content

Instantly share code, notes, and snippets.

@cet900
Created November 30, 2016 07:04
Show Gist options
  • Save cet900/c12a8bfc745d7cb19a902e623d84b250 to your computer and use it in GitHub Desktop.
Save cet900/c12a8bfc745d7cb19a902e623d84b250 to your computer and use it in GitHub Desktop.
Create Australian monthly grid climate data example
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Get monthly timeseries data over Australia to feed into other model.\n",
"\n",
"In this case, the data already spans the full time range of interest and is in monthly steps. \n",
"To extract data from multiple files (e.g. for daily data), use Unidata's Siphon tool for python to loop through the files. Similarly to utilise the Australian Gridded Climate Data. \n",
"See this notebook for further exmaples: http://nbviewer.jupyter.org/github/nci/nci-notebooks/blob/master/Data_Access/Using_Siphon/Python_Siphon_I.ipynb"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"First, ensure all required python libraries are present - python, numpy, matplotlib, netcdf4..."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from netCDF4 import Dataset"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Define the file you want to point to (or use siphon with a catalog for multiple files)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"url='http://dapds00.nci.org.au/thredds/dodsC/ua6/authoritative/CMIP5/CSIRO-BOM/ACCESS1-0/historical/mon/atmos/Amon/r1i1p1/files/tas_20120115/tas_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Tell the netCDF library you want to read that file"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"f = Dataset(url, 'r')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Check file contents - in this case, atmopsheric temperature at Earth's surface ('tas')."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"time 1872\n",
"bnds 2\n",
"lat 145\n",
"lon 192\n"
]
}
],
"source": [
"## Display file dimensions\n",
"for item in f.dimensions:\n",
" print item, f.dimensions[item].size"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Variable: \ttime\n",
"Dimensions: \t(u'time',)\n",
"Shape: \t(1872,) \n",
"\n",
"Variable: \ttime_bnds\n",
"Dimensions: \t(u'time', u'bnds')\n",
"Shape: \t(1872, 2) \n",
"\n",
"Variable: \tlat\n",
"Dimensions: \t(u'lat',)\n",
"Shape: \t(145,) \n",
"\n",
"Variable: \tlat_bnds\n",
"Dimensions: \t(u'lat', u'bnds')\n",
"Shape: \t(145, 2) \n",
"\n",
"Variable: \tlon\n",
"Dimensions: \t(u'lon',)\n",
"Shape: \t(192,) \n",
"\n",
"Variable: \tlon_bnds\n",
"Dimensions: \t(u'lon', u'bnds')\n",
"Shape: \t(192, 2) \n",
"\n",
"Variable: \theight\n",
"Dimensions: \t()\n",
"Shape: \t() \n",
"\n",
"Variable: \ttas\n",
"Dimensions: \t(u'time', u'lat', u'lon')\n",
"Shape: \t(1872, 145, 192) \n",
"\n"
]
}
],
"source": [
"## Look at variables\n",
"vars = f.variables.keys()\n",
"for item in vars:\n",
" print 'Variable: \\t', item\n",
" print 'Dimensions: \\t', f[item].dimensions\n",
" print 'Shape: \\t', f[item].shape, '\\n'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We only want Australia, so either use NetCDF Subset Service with Siphon, or figure out the indices to use with the opendap URL.\n",
"\n",
"Load in lat and lon dimension variables so we can work out the index range for Australia."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"lat=f.variables['lat'][:]\n",
"lon=f.variables['lon'][:]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's assume Australia is found in the box (110E:155E,-5S:-45S)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Need to be able to find nearest values, write a function for that"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import numpy as np\n",
"def find_nearest(array,value):\n",
" idx = (np.abs(array-value)).argmin()\n",
" return idx"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"lat_min=-45\n",
"lat_max=-5\n",
"lon_min=110\n",
"lon_max=155"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"latidx1=find_nearest(lat,lat_min)\n",
"latidx2=find_nearest(lat,lat_max)\n",
"lonidx1=find_nearest(lon,lon_min)\n",
"lonidx2=find_nearest(lon,lon_max)"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"bbox=(latidx1, latidx2, lonidx1, lonidx2)"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"tas_Aus=f.variables['tas'][:,latidx1:latidx2,lonidx1:lonidx2]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's just check we've grabbed the right data area"
]
},
{
"cell_type": "code",
"execution_count": 76,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"time=f.variables['time'][:]\n",
"tas=f.variables['tas'][1,1,1]"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt \n",
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0xbd5c240>"
]
},
"execution_count": 50,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAW0AAAHaCAYAAADLzhjvAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSJ7QfspTnvKUDyT/PykLLK2oJ8JhAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0xc3cb470>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(8,8))\n",
"plt.imshow(np.flipud(tas_Aus[10,:,:]), cmap='gist_earth')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Yep looks reasonably like Australia, I think that'll do. Let's save this as our input dataset for the model."
]
},
{
"cell_type": "code",
"execution_count": 127,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# Create and open new file\n",
"f1=Dataset('tas_Aus_ACCESS1-0.nc','w')\n",
"# Create new dimensions\n",
"xdim = f1.createDimension('lon', lonidx2-lonidx1)\n",
"ydim = f1.createDimension('lat', latidx2-latidx1)\n",
"tdim = f1.createDimension('time', f.dimensions['time'].size)\n",
"# Create new variables\n",
"lon_new = f1.createVariable('lon', 'f8', ('lon',))\n",
"lat_new = f1.createVariable('lat', 'f8', ('lat',))\n",
"time_new = f1.createVariable('time', 'f8', ('time',))\n",
"tas_new = f1.createVariable('tas', 'f8', ('time','lat','lon',))\n",
"# Write data from subset\n",
"lon_new[:] = lon[lonidx1:lonidx2]\n",
"lat_new[:] = lat[latidx1:latidx2]\n",
"time_new[:] = time[:]\n",
"tas_new[:,:,:] = tas_Aus\n",
"# Copy metadata and variable attributes into new file\n",
"# Global attributes\n",
"for item, value in f.__dict__.items():\n",
" f1.__setattr__(item, value)\n",
" \n",
"# Variable attributes\n",
"#variables = [('time', 'time'), ('lat', 'lat'), ('lon', 'lon'), ('tas', 'tas')]\n",
"\n",
"#for vold, vnew in variables:\n",
"# for item, value in f.variables[vold].__dict__.items():\n",
"# # Special attributes that begin with '_' (e.g., _FillValue, _ChunkSize, etc.) \n",
"# # need to be defined when first creating the variable, \n",
"# # in this simple example these attributes are ignored\n",
"# if not item.startswith('_'):\n",
"# f1.variables[vnew].__setattr__(item, value)\n",
" \n",
"variables = ['time', 'lat', 'lon', 'tas']\n",
" \n",
"for v in variables:\n",
" for item, value in f.variables[v].__dict__.items():\n",
" # Special attributes that begin with '_' (e.g., _FillValue, _ChunkSize, etc.) \n",
" # need to be defined when first creating the variable, \n",
" # in this simple example these attributes are ignored\n",
" if not item.startswith('_'):\n",
" f1.variables[v].__setattr__(item, value)\n",
" \n",
"f1.close()"
]
},
{
"cell_type": "code",
"execution_count": 132,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"f.close()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now we have an input file of monthly data for the Australian region from 1850 till 2005, the CMIP5 historical period, from the ACCESS1.0 model."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.11"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment