Facing the Challenge of Climate Change with Xarray and Dask

Explore how to tackle climate change analysis using xarray and Dask in this 24-minute EuroPython 2017 conference talk. Learn to retrieve, analyze, process, and visualize complex climate forecast and projection data using Python's scientific ecosystem. Discover the power of xarray's n-dimensional array library, which combines pandas data structures with dask's performance and parallelization capabilities. Gain insights into accessing and utilizing the Copernicus Climate Change Service's open cloud platform, the CDS Toolbox, based on Python 3 xarray/dask/pandas stack. Follow along as the speaker demonstrates a generic use case for handling climate data with xarray and the Copernicus CDS Toolbox, covering topics such as data selection, interpolation, climatology, task arrays, open data sets, memory management, and distributed systems.

Intro
Climate change
The optimistic scenario
Data sources
Models
Data
Python
xarray
Selection
Interpolate
climatology
task arrays
open data set
save memory
distributed system
toolbox
expert interface
dead zone
optimistic scenario
Questions
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