气候变化
适应(眼睛)
气候科学
气候模式
计算机科学
领域(数学分析)
域适应
危害
气候学
数据科学
人工智能
生态学
地质学
数学分析
物理
数学
分类器(UML)
光学
生物
作者
Tapio Schneider,Swadhin K. Behera,Giulio Boccaletti,Clara Deser,Kerry Emanuel,Raffaele Ferrari,L. Ruby Leung,Ning Lin,Thomas Müller,Antonio Navarra,Ousmane Ndiaye,Andrew M. Stuart,Joseph Tribbia,Toshio Yamagata
标识
DOI:10.1038/s41558-023-01769-3
摘要
There are contrasting views on how to produce the accurate predictions that are needed to guide climate change adaptation. Here, we argue for harnessing artificial intelligence, building on domain-specific knowledge and generating ensembles of moderately high-resolution (10–50 km) climate simulations as anchors for detailed hazard models.
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