Towards implementing artificial intelligence post-processing in weather and climate: proposed actions from the Oxford 2019 workshop

The most mature aspect of applying artificial intelligence (AI)/machine learning (ML) to problems in the atmospheric sciences is likely post-processing of model output. This article provides some history and current state of the science of post-processing with AI for weather and climate models. Deri...

Descripción completa

Detalles Bibliográficos
Autores principales: Haupt, Sue Ellen, Chapman, William, Adams, Samantha V., Kirkwood, Charlie, Hosking, J. Scott, Robinson, Niall H., Lerch, Sebastian, Subramanian, Aneesh C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society Publishing 2021
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7898128/
https://www.ncbi.nlm.nih.gov/pubmed/33583264
http://dx.doi.org/10.1098/rsta.2020.0091

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7898128/
https://www.ncbi.nlm.nih.gov/pubmed/33583264
http://dx.doi.org/10.1098/rsta.2020.0091

Ejemplares similares