Climate researchers have increasingly adopted AI/ML to tackle complex challenges, including prediction, process parameterization, and knowledge discovery. In this session, explore how scientists are using full-scale climate models, explainable AI, and physics-informed AI models to facilitate a deeper understanding of climate processes, climate impacts, and the potential impacts of climate intervention techniques designed to mitigate the worst effects of global warming, such as increasing the reflection of sunlight from particles in the atmosphere. Join the session to understand how AWS HPC clusters and training networks on GPU nodes are pushing the frontiers of climate science and climate-risk research.


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