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Deep learning and process understanding for data-driven Earth system science

, , , , , , и . Nature, 566 (7743): 195--204 (2019)

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Saskia Björn

Bolli Björnsson

Barrie Stevens

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Angela Stevens

 

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Climate science: Uncertain then, irrelevant now. Nature, 503 (7474): 47--48 (07.11.2013)Putting the Ocean into the Center: A coupled ICONAtmosphere/Ocean Simulation in Spilhaus Projection, , , , , , , , , и 5 other автор(ы). (ноября 2021)Deep learning and process understanding for data-driven Earth system science., , , , , , и . Nat., 566 (7743): 195-204 (2019)Earth Virtualization Engines - A Technical Perspective., , , , , , , , , и 10 other автор(ы). CoRR, (2023)What Are Climate Models Missing?, и . Science, 340 (6136): 1053--1054 (31.05.2013)Digital twins of Earth and the computing challenge of human interaction., , , и . Nat. Comput. Sci., 4 (3): 154-157 (2024)Buoyancy reversal in cloud-top mixing layers, , , и . Quarterly Journal of the Royal Meteorological Society, 135 (641): 963-978 (2009)Deep learning and process understanding for data-driven Earth system science, , , , , , и . Nature, 566 (7743): 195--204 (2019)Combining crowd-sourcing and deep learning to understand meso-scale organization of shallow convection., , , и . CoRR, (2019)Visualization of Climate Science Simulation Data., , , , и . IEEE Computer Graphics and Applications, 41 (1): 42-48 (2021)