Computational Tools for Climate Science
Using real-world and modeled data, explore the social and environmental effects of climate change.
What you'll learn
- Overview of the climate system and Xarray.
- Climate data: Students will use reanalysis products, remote sensing data, and paleoclimate proxy data to understand multi-scale climate interactions, climate monitoring, and variations in past marine, terrestrial, and atmospheric climates.
- Future of the climate system: Students will learn about climate models, how to interpret their projections of future climate, and explore the socio-economic pathways that shape climate risks.
- Responses to climate change: Extreme climate events (e.g. precipitation patterns, heatwaves), and the application of AI techniques to develop predictive models that enhance our understanding of and ability to anticipate the effects of climate change.
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Still have questions?
Please email us at nma@neuromatch.io
