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Exploring Randomly Wired Neural Networks for Climate Model Emulation


Dec 09, 2022
William Yik, Sam J. Silva, Andrew Geiss, Duncan Watson-Parris

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Pyrocast: a Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) Clouds


Nov 22, 2022
Kenza Tazi, Emiliano Díaz Salas-Porras, Ashwin Braude, Daniel Okoh, Kara D. Lamb, Duncan Watson-Parris, Paula Harder, Nis Meinert

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* 5 pages, 2 figures, Tackling Climate Change with Machine Learning: workshop at NeurIPS 2022 

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Identifying the Causes of Pyrocumulonimbus (PyroCb)


Nov 18, 2022
Emiliano Díaz Salas-Porras, Kenza Tazi, Ashwin Braude, Daniel Okoh, Kara D. Lamb, Duncan Watson-Parris, Paula Harder, Nis Meinert

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* 14 pages 9 figures. To be published in the 2022 NeurIPS Workshop on Causal Machine Learning for Real-World Impact 

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Physics-Informed Learning of Aerosol Microphysics


Jul 24, 2022
Paula Harder, Duncan Watson-Parris, Philip Stier, Dominik Strassel, Nicolas R. Gauger, Janis Keuper

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* arXiv admin note: text overlap with arXiv:2109.10593 

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AODisaggregation: toward global aerosol vertical profiles


May 06, 2022
Shahine Bouabid, Duncan Watson-Parris, Sofija Stefanović, Athanasios Nenes, Dino Sejdinovic

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Using Non-Linear Causal Models to Study Aerosol-Cloud Interactions in the Southeast Pacific


Nov 03, 2021
Andrew Jesson, Peter Manshausen, Alyson Douglas, Duncan Watson-Parris, Yarin Gal, Philip Stier

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Emulating Aerosol Microphysics with Machine Learning


Sep 29, 2021
Paula Harder, Duncan Watson-Parris, Dominik Strassel, Nicolas Gauger, Philip Stier, Janis Keuper

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Emulating Aerosol Microphysics with a Machine Learning


Sep 22, 2021
Paula Harder, Duncan Watson-Parris, Dominik Strassel, Nicolas Gauger, Philip Stier, Janis Keuper

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