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Explore how artificial intelligence can be applied to predict rainfall and temperature patterns in this 55-minute conference talk by Ravi S Nanjundiah from the International Centre for Theoretical Sciences. Learn about the intersection of machine learning and meteorological forecasting as part of the Advanced Machine Learning for Earth System Modeling program. Discover how AI techniques are revolutionizing weather prediction, moving beyond traditional physics-based differential equations to data-driven models powered by deep learning. Understand the challenges and opportunities in using machine learning to improve Earth System Models, including the development of low-cost surrogate models and enhanced parameterization of localized processes. Gain insights into state-of-the-art AI approaches for weather and climate forecasting, including Transformer-based models like FourCastNet and Graph Neural Networks such as GraphCast, which are increasingly being adopted by national meteorological agencies for operational use.
