AI and the Second Revolution in Climate Modeling: Promises and Challenges
Artificial intelligence (AI) is transforming weather and climate modeling. For example, AI-based weather models now outperform traditional physics-based models for short- and medium-range forecasting, while requiring only a fraction of the computing time. AI “emulators” for long-term simulations of the atmosphere, ocean, and coupled climate system are also emerging, offering new possibilities for reducing internal variability and scenario uncertainty. At the same time, growing evidence highlights AI models’ difficulties in capturing the rarest (yet most impactful) weather extremes and learning multi-scale dynamics. In this talk, I will discuss these advances and challenges, as well as ideas for making further progress, especially based on integrating tools and concepts from AI, climate physics, and applied mathematics.
ZOOM:
https://illinois.zoom.us/j/82767407475?pwd=7ca6OfzVOPneyOwAULFkntXaYWaBvo.1
Meeting ID: 827 6740 7475
Pass Code: 809774