Non‐Linear Dimensionality Reduction With a Variational Encoder Decoder to Understand Convective Processes in Climate Models

Deep learning can accurately represent sub‐grid‐scale convective processes in climate models, learning from high resolution simulations. However, deep learning methods usually lack interpretability due to large internal dimensionality, resulting in reduced trustworthiness in these methods. Here, we...

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Detalles Bibliográficos
Autores principales: Behrens, Gunnar, Beucler, Tom, Gentine, Pierre, Iglesias‐Suarez, Fernando, Pritchard, Michael, 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/PMC9541604/
https://www.ncbi.nlm.nih.gov/pubmed/36245669
http://dx.doi.org/10.1029/2022MS003130

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9541604/
https://www.ncbi.nlm.nih.gov/pubmed/36245669
http://dx.doi.org/10.1029/2022MS003130

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