Deep Learning Based Cloud Cover Parameterization for ICON

A promising approach to improve cloud parameterizations within climate models and thus climate projections is to use deep learning in combination with training data from storm‐resolving model (SRM) simulations. The ICOsahedral Non‐hydrostatic (ICON) modeling framework permits simulations ranging fro...

Descripción completa

Detalles Bibliográficos
Autores principales: Grundner, Arthur, Beucler, Tom, Gentine, Pierre, Iglesias‐Suarez, Fernando, Giorgetta, Marco A., Eyring, Veronika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078328/
https://www.ncbi.nlm.nih.gov/pubmed/37035630
http://dx.doi.org/10.1029/2021MS002959

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078328/
https://www.ncbi.nlm.nih.gov/pubmed/37035630
http://dx.doi.org/10.1029/2021MS002959

Ejemplares similares