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Deep learning to represent subgrid processes in climate models

, , and . Proceedings of the National Academy of Sciences, 115 (39): 9684--9689 (2018)

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Moral Machines?. Science and Engineering Ethics, 18 (2): 411-417 (2012)Engineering Ethics: Looking Back, Looking Forward., , , , , , , and . Sci. Eng. Ethics, 19 (3): 1395-1404 (2013)Understanding and Visualizing Droplet Distributions in Simulations of Shallow Clouds., , , , , , , , , and . CoRR, (2023)Deep learning to represent subgrid processes in climate models, , and . Proceedings of the National Academy of Sciences, 115 (39): 9684--9689 (2018)Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System Model., , , , , , , and . CoRR, (2024)Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators., , , , , , , , , and 5 other author(s). CoRR, (2024)Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling., , , , , , , , , and 1 other author(s). CoRR, (2024)ACE: A fast, skillful learned global atmospheric model for climate prediction., , , , , , , , , and 2 other author(s). CoRR, (2023)Towards Physically-Consistent, Data-Driven Models of Convection., , , and . IGARSS, page 3987-3990. IEEE, (2020)Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators., , , , , , , , , and 6 other author(s). CoRR, (2024)