LB-SCAM: a learning-based method for efficient large-scale sensitivity analysis and tuning of the Single Column Atmosphere Model (SCAM)
<p>The single-column model, with its advantages of low computational cost and fast execution speed, can assist users in gaining a more intuitive understanding of the impact of parameters on the simulated results of climate models. It plays a crucial role in the study of parameterization schemes, all...
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| 主要な著者: | , , , , , , , , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Copernicus Publications
2024-05-01
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| シリーズ: | Geoscientific Model Development |
| オンライン･アクセス: | https://gmd.copernicus.org/articles/17/3975/2024/gmd-17-3975-2024.pdf |
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