Climate-Invariant, Causally Consistent Neural Networks as Robust Emulators of Subgrid Processes across Climates

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Serval ID
serval:BIB_EE901951DBA9
Type
Inproceedings: an article in a conference proceedings.
Publication sub-type
Abstract (Abstract): shot summary in a article that contain essentials elements presented during a scientific conference, lecture or from a poster.
Collection
Publications
Institution
UNIL/CHUV
Title
Climate-Invariant, Causally Consistent Neural Networks as Robust Emulators of Subgrid Processes across Climates
Title of the conference
EGU General Assembly 2022, Vienna, Austria
Author(s)
Beucler Tom, Iglesias-Suarez Fernando, Eyring Veronika, Pritchard Michael, Runge Jakob, Gentine Pierre
Publisher
Copernicus GmbH
Publication state
Published
Issued date
26/03/2022
Language
english
OAI-PMH
oai:serval.unil.ch:BIB_EE901951DBA9
DOI
10.5194/egusphere-egu22-722
Publisher's website
https://doi.org/10.5194/egusphere-egu22-722
Create date
21/02/2023 14:36
Last modification date
16/10/2023 6:07
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