Machine Learning-Based Causally Informed Atmospheric Parametrizations for Climate Models
- 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
Linked Authors [?]
Linked Institutions