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Explore how machine learning can revolutionize climate physics research in this 48-minute Presidential Lecture from the Simons Foundation. Delve into the critical role of oceans in the climate system, particularly their function in storing and redistributing excess heat from anthropogenic emissions. Learn about the current limitations in climate simulations due to inadequate representations of unresolved processes like clouds and ocean turbulence in global climate models. Discover how machine learning techniques can accelerate the discovery of physics principles and governing equations for multiscale climate processes, with a specific focus on ocean turbulence. Understand the potential impact of these technological advances on improving ocean heat transport simulations and enhancing the accuracy of climate models for better environmental predictions.
