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Machine Learning Emulation of Gravity Wave Drag in Numerical Weather Forecasting
We assess the value of machine learning as an accelerator for the parameterization schemes of operational weather forecasting systems, specifically the parameterization of nonorographic gravity wave drag. Emulators of this scheme can be trained to produce stable and accurate results up to seasonal f...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365632/ https://www.ncbi.nlm.nih.gov/pubmed/34434491 http://dx.doi.org/10.1029/2021MS002477 |