Physics-informed deep-learning parameterization of ocean vertical mixing improves climate simulations

Uncertainties in ocean-mixing parameterizations are primary sources for ocean and climate modeling biases. Due to lack of process understanding, traditional physics-driven parameterizations perform unsatisfactorily in the tropics. Recent advances in the deep-learning method and the new availability...

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Detalles Bibliográficos
Autores principales: Zhu, Yuchao, Zhang, Rong-Hua, Moum, James N, Wang, Fan, Li, Xiaofeng, Li, Delei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385460/
https://www.ncbi.nlm.nih.gov/pubmed/35992235
http://dx.doi.org/10.1093/nsr/nwac044

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385460/
https://www.ncbi.nlm.nih.gov/pubmed/35992235
http://dx.doi.org/10.1093/nsr/nwac044

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