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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2022
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| Materias: | |
| 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 |