{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Visualising CMIP data\n", "In this lesson we are going to give an inro on how to work with NetCDF files in Python and create a quick plot of the ACCESS1-3 historical precipitation climatology data. " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Create a variable that represents the path of the NetCDF file we will be working with\n", "access_pr_file = '../data/pr_Amon_ACCESS1-3_historical_r1i1p1_200101-200512.nc'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Import all the libraries that are needed for this section:" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import xarray as xr\n", "import matplotlib.pyplot as plt\n", "import cartopy.crs as ccrs\n", "import numpy as np\n", "import cmocean" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Since geographic data files can often be very large, when we first open our data file in xarray it simply loads the metadata associated with the file (this is known as “lazy loading”). We can then view summary information about the contents of the file before deciding whether we’d like to load some or all of the data into memory." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# The xarray library has the function xarray.open_dataset to load our file into an xarray dataset strucutre\n", "dset = xr.open_dataset(access_pr_file)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# Print the dataset to have a look how the file is structured.\n", "print(dset)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can see that our dset object is an xarray.Dataset, which when printed shows all the metadata associated with our netCDF data file: \n", "* Dimensions: lat, lon, time\n", "* Data variables: pr, lat, lon, time\n", "* Attributes: Describes the general dataset = metadata" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this case, we are interested in the precipitation variable contained within that xarray Dataset:" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# Select the variable, the same way you would select a column in a Pandas Dataframe, using square brackets: \n", "dset[\"pr\"]\n", "\n", "#Print out this variable\n", "print(dset['pr']) # or dset.pr" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It returns a snippet of the values in the array, the coordinates and the attributes associated with the precipitation `xarray.Dataset`.\n", "\n", "We can actually use either the dset['pr'] or dset.pr syntax to access the precipitation xarray.DataArray." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Aggregating data\n", "\n", "To calculate the precipitation climatology, we can make use of the fact that xarray DataArrays have built in functionality for averaging over their dimensions. We select the dimension 'time' here. We also want to display the attributes of the original object:" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "scrolled": true }, "outputs": [], "source": [ "clim = dset['pr'].mean('time', keep_attrs=True)\n", "print(clim)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The coordinate 'time' has disappeared since we calculated the mean precipitation over the 'time' dimension." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Calculations with arrays\n", "Now that we’ve calculated the climatology, we want to convert the units from kg m-2 s-1 to something that we are a little more familiar with like mm day-1.\n", "\n", "Convert the units from $kg \\: m^{-2} \\: s^{-1}$ to $mm \\: day^{-1}$.\n", "\n", "(You have to consider that:\n", "- $1 \\: kg$ of rain water spread over $1 \\: m^2$ of surface is $1 \\: mm$ in thickness;\n", "- there are $60 \\times 60 \\times 24 = 86400$ seconds in one day.\n", "\n", "Therefore, $1 kg \\: m^{-2} \\: s^{-1} = 86400 mm \\: day^{-1}$)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Structure of the entire array\n", "print(type(clim))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Strcutre of the data part in the clim array\n", "print(type(clim.data))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The data associated with our xarray DataArray is a numpy array. We can go ahead and multiply that array by 86400 and update the units attribute accordingly:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "clim.data = clim.data * 86400 #multiply only the data part of the array\n", "clim.attrs['units'] = 'mm/day' #adjust the attribute units\n", "clim" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "##### NOTE on VECTORISATION\n", "In order to multiply every value in the array, note that there is no use of a for loop. The advantage of arrays and the homogeneity of the data it contains, is that it is possible to apply a certain function simulatiously over many values instead of a single value. This is called \"Vectorisation\"." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Plotting arrays\n", "We could now go ahead and plot our climatology using matplotlib, but it would take many lines of code to extract all the latitude and longitude information and to setup all the plot characteristics. Recognising this burden, the xarray developers have built on top of matplotlib.pyplot to make the visualisation of xarray DataArrays much easier. \n", "\n", "Cartopy has exposed an interface to enable easy map creation using matplotlib. Creating a basic map involves telling matplotlib to use a specific map projection, and then adding some coastlines to the axes:\n", "\n", "(Use the built in `%matplotlib inline` magic command to make plots appear in the notebook rather than in a separate window.) " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "fig = plt.figure(figsize=[12,5]) #create a new figure\n", "\n", "ax = fig.add_subplot(111, projection=ccrs.PlateCarree(central_longitude=180)) # Add an Axes to the figure \n", "\n", "#add the filled contour plot to the already-set-up plot region\n", "clim.plot.contourf(ax=ax,\n", " levels=np.arange(0, 13.5, 1.5),\n", " extend='max',\n", " transform=ccrs.PlateCarree(),\n", " cbar_kwargs={'label': clim.units})\n", "\n", "\n", "ax.coastlines() \n", "plt.show()\n", "#plt.savefig('../fig/02-visualisation-viridis.svg')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The default colorbar used by matplotlib is `viridis`. It used to be `jet`, but that was changed a couple of years ago in response to the [#endtherainbow](https://www.climate-lab-book.ac.uk/2014/end-of-the-rainbow/) campaign.\n", "\n", "Putting all the code together (and reversing viridis so that wet is purple and dry is yellow)..." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import xarray as xr\n", "import matplotlib.pyplot as plt\n", "import cartopy.crs as ccrs\n", "import numpy as np\n", "\n", "access_pr_file = '../data/pr_Amon_ACCESS1-3_historical_r1i1p1_200101-200512.nc'\n", "\n", "dset = xr.open_dataset(access_pr_file)\n", "\n", "clim = dset['pr'].mean('time', keep_attrs=True)\n", "\n", "clim.data = clim.data * 86400\n", "clim.attrs['units'] = 'mm/day'\n", "\n", "fig = plt.figure(figsize=[12,5])\n", "ax = fig.add_subplot(111, projection=ccrs.PlateCarree(central_longitude=180))\n", "clim.plot.contourf(ax=ax,\n", " levels=np.arange(0, 13.5, 1.5),\n", " extend='max',\n", " transform=ccrs.PlateCarree(),\n", " cbar_kwargs={'label': clim.units},\n", " cmap='viridis_r') \n", "\n", "ax.coastlines()\n", "#plt.savefig('../fig/02-visualisation-viridis_r.svg')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Challenge:** Copy and paste that slab of code into your own Jupyter notebook. Make the following additions/edits to the plot: \n", "\n", "1. The viridis color palette doesn’t seem quite right for rainfall. Change it to the “rain” [cmocean](http://matplotlib.org/cmocean/) palette used for ocean salinity data. The **cmocean library** contains colormaps custom made for the ocean sciences. \n", "\n", "2. Add a title to the plot which gives the name of the model (taken from the dset attributes, i.e `dset.attr`), followed by the words “precipitation climatology (JJA)”. \n", "\n", "3. Rather than plot the annual climatology, edit the code so that it plots the June-August (JJA) season. HINT: the **groupby functionality** can be used to group all the data into seasons (`groupby('time.season')`) prior to averaging over the time axis.\n" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import xarray as xr\n", "import matplotlib.pyplot as plt\n", "import cartopy.crs as ccrs\n", "import numpy as np\n", "\n", "access_pr_file = '../data/pr_Amon_ACCESS1-3_historical_r1i1p1_200101-200512.nc'\n", "\n", "dset = xr.open_dataset(access_pr_file)\n", "\n", "clim = dset['pr'].groupby('time.season').mean('time', keep_attrs=True) \n", "#clim = dset['pr'].mean('time', keep_attrs=True)\n", "\n", "clim.data = clim.data * 86400\n", "clim.attrs['units'] = 'mm/day'\n", "\n", "fig = plt.figure(figsize=[12,5])\n", "ax = fig.add_subplot(111, projection=ccrs.PlateCarree(central_longitude=180))\n", "clim.sel(season='JJA').plot.contourf(ax=ax,\n", " levels=np.arange(0, 13.5, 1.5),\n", " extend='max',\n", " transform=ccrs.PlateCarree(),\n", " cbar_kwargs={'label': clim.units},\n", " cmap=cmocean.cm.rain) #\"cmocean.cm.rain\"\n", "\n", "title = '%s precipitation climatology (JJA)' %(dset.attrs['model_id'])\n", "plt.title(title)\n", "\n", "\n", "ax.coastlines()\n", "#plt.savefig('../fig/02-visualisation-viridis_r.svg')\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.1" } }, "nbformat": 4, "nbformat_minor": 2 }