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Machine Learning Methods for Climate Science by Aman Gupta

Offered By: International Centre for Theoretical Sciences via YouTube

Tags

Climate Science Courses Fluid Dynamics Courses Mathematical Modeling Courses Dynamical Systems Courses Convection Courses Monsoon Dynamics Courses

Course Description

Overview

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Explore machine learning applications in climate science through this comprehensive lecture from the Mathematical Modeling of Climate, Ocean, and Atmosphere Processes pedagogical program. Delve into how advanced ML techniques can be applied to atmosphere-ocean processes, enhancing our understanding of climate dynamics. Gain insights from Stanford University researcher Aman Gupta as he discusses the intersection of artificial intelligence and climate modeling. Suitable for Masters students, final year undergraduates, and those interested in interdisciplinary approaches to climate research, this talk requires no prior background in climate-atmosphere-ocean dynamics.

Syllabus

Machine Learning Methods for Climate Science by Aman Gupta


Taught by

International Centre for Theoretical Sciences

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