Machine Learning Methods for Climate Science by Aman Gupta

Machine Learning Methods for Climate Science by Aman Gupta

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.