Machine Learning for Forecasting Global Atmospheric Models | AISC

Speaker(s): Troy Acromano Moderator: Peetak Mitra Find the recording, slides, and more info at Motivation / Abstract Data driven approaches to prediction chaotic spatiotemporal dynamical systems have been shown to be successfully for a number of high dimensional, complex systems. One of the most important chaotic systems which impacts our lives daily is the atmosphere. This, naturally, leads t