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Explore cloud computations in this 59-minute lecture delivered by Rama Govindarajan at the International Centre for Theoretical Sciences. Delve into the computational aspects of cloud modeling and simulation as part of the Advanced Machine Learning for Earth System Modeling program. Learn about the role of cloud computations in Earth System Models (ESMs) and how they contribute to understanding climate dynamics and atmospheric processes. Discover the computational challenges associated with modeling cloud behavior and the potential applications of machine learning techniques to improve cloud parameterizations in climate models. Gain insights into how cloud computations fit within the broader context of Earth system modeling and their importance for accurate weather and climate predictions. Understand the intersection of computational methods, atmospheric physics, and modern machine learning approaches in advancing our understanding of cloud processes and their impact on global climate systems.
