AI-driven Climate Modeling: Present and Future

Join a comprehensive webinar presentation where Dr. Chris Bretherton from the University of Washington explores the cutting-edge developments in AI-driven climate modeling. Discover the innovative Ai2 Climate Emulator (ACE), a groundbreaking AI-driven model that achieves daily weather variability and climate simulation at a fraction of the computational cost compared to traditional physics-based models. Learn how ACE can be trained across different climate scenarios and integrated with simple ocean models, creating a pathway toward affordable, hyper-realistic digital twin models of atmospheric and oceanic systems. Understand how the combination of ACE with digital twins promises to deliver more accurate, localized climate predictions, enabling improved decision-making for climate-sensitive regions without relying on complex traditional downscaling methods. The 51-minute presentation, part of the SIAM MPE Community Meetings series by the SIAM Activity Group on Mathematics of Planet Earth, offers valuable insights into the future of climate modeling and its practical applications.