Machine Learning for Prediction of Terrestrial Climate and Weather

Explore cutting-edge applications of machine learning in terrestrial climate and weather prediction through this insightful lecture by Edward Ott from the University of Maryland. Delivered as part of the Third Symposium on Machine Learning and Dynamical Systems, delve into the intersection of artificial intelligence and atmospheric sciences. Gain valuable insights into how advanced computational techniques are revolutionizing our ability to forecast and understand complex climate systems. Discover the latest developments in this rapidly evolving field and their potential impact on improving the accuracy and reliability of weather and climate models.