Machine Learning Methods for Climate Science - Lecture 2

Explore machine learning applications in climate science through this lecture, part of a pedagogical program on mathematical modeling of climate, ocean, and atmosphere processes. Delve into advanced techniques for analyzing and predicting complex climate systems, with a focus on Masters and final-year undergraduate students. Gain insights from Stanford University's Aman Gupta as he presents the second installment in a series on machine learning methods for climate research. Discover how these cutting-edge approaches are revolutionizing our understanding of atmospheric and oceanic dynamics, convection, monsoon patterns, and climate models. Benefit from a comprehensive introduction to the intersection of artificial intelligence and climate science, designed for students with diverse academic backgrounds.

Machine Learning Methods for Climate Science (Lecture 2) by Aman Gupta