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About Getting Your Hands-On Climate Data - Visualize Climate Data With Python
This document provides instructions for visualizing climate data using Python. It explains how to download precipitation and temperature data from the Climate Data Store, inspect the metadata using xarray, and plot the data using matplotlib and cartopy. Examples are given to plot total precipitation from ERA5 reanalysis data for June 2003 with different colormaps and projections. Similar steps are outlined for visualizing 2m air temperature data and data from the CMIP5 climate model projections.
Detailed Information
| Author: | ['Bikas C. Bhattarai'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 20 |
| Language: | English |
| Format: | |
| Price: | FREE |
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