GSTDTAP  > 资源环境科学
DOI10.5194/gmd-13-2723-2020
Towards an objective assessment of climate multi-model ensembles – a casestudy: the Senegalo-Mauritanian upwelling region
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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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