Tuning the ICON-A 2.6.4 climate model with machine-learning-based emulators and history matching
<p>In climate model development, “tuning” refers to the important process of adjusting uncertain free parameters of subgrid-scale parameterizations to best match a set of Earth observations, such as the global radiation balance or global cloud cover. This is traditionally a computationally expensive...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Copernicus Publications
2025-06-01
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| coleção: | Geoscientific Model Development |
| Acesso em linha: | https://gmd.copernicus.org/articles/18/3681/2025/gmd-18-3681-2025.pdf |
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