Machine Learning-Based Causally Informed Atmospheric Parametrizations for Climate Models

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    W[2022AGUFMNG16A..03E]
    LA["Linked Authors (5)"]
    LI["Linked Institutions (4)"]
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ADS bibcode
2022AGUFMNG16A..03E
year
2022
Listed Authors
Eyring, Veronika
Grundner, Arthur
Iglesias-Suarez, Fernando
Beucler, Tom
Gentine, Pierre
Marco, Giorgetta A.
Pritchard, Mike S.
Runge, Jakob
Schwabe, Mierk
Listed Institutions
German Aerospace Center DLR Oberpfaffenhofen, Oberpfaffenhofen, Germany
German Aerospace Center DLR Oberpfaffenhofen, Oberpfaffenhofen, Germany
German Aerospace Center DLR Oberpfaffenhofen, Oberpfaffenhofen, Germany
University of Lausanne, Lausanne, Switzerland
Columbia University, New York, NY, United States
Max Planck Institute for Meteorology, Hamburg, Germany
University California Irvine, Irvine, United States
German Aerospace Center DLR Jena, Jena, Germany
German Aerospace Center DLR Oberpfaffenhofen, Oberpfaffenhofen, Germany

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