Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/gmd-13-2723-2020 |
Towards an objective assessment of climate multi-model ensembles – a casestudy: the Senegalo-Mauritanian upwelling region | |
admin | |
2020-06-30 | |
出版年 | 2020 |
国家 | 欧洲 |
领域 | 气候变化 ; 资源环境 |
英文摘要 | The most robust representation of climate is usually obtained by averaging a large number of simulations, thereby cancelling individual model errors. Here, we work towards an objective way of selecting the least biased models over a certain region, based on physical parameters. This statistical method based on a neural classifier and multi-correspondence analysis is illustrated here for the Senegalo-Mauritanian region, but it could potentially be developed for any other region or process. |
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来源平台 | European Geosciences Union |
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文献类型 | 科技报告 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/281863 |
专题 | 资源环境科学 气候变化 |
推荐引用方式 GB/T 7714 | admin. Towards an objective assessment of climate multi-model ensembles – a casestudy: the Senegalo-Mauritanian upwelling region,2020. |
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