Can machine learning improve the model representation of turbulent kinetic energy dissipation rate in the boundary layer for complex terrain?
<p>Current turbulence parameterizations in numerical weather prediction models at the mesoscale assume a local equilibrium between production and dissipation of turbulence. As this assumption does not hold at fine horizontal resolutions, improved ways to represent turbulent kinetic energy (TKE) diss...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Copernicus Publications
2020-09-01
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| Series: | Geoscientific Model Development |
| Acceso en liña: | https://gmd.copernicus.org/articles/13/4271/2020/gmd-13-4271-2020.pdf |
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