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.
Harnessing AI and computing to advance climate modelling and prediction / Tapio Schneider, Swadhin Behera, Giulio Boccaletti, Clara Deser, Kerry Emanuel, Raffaele Ferrari, L. Ruby Leung, Ning Lin, Thomas Müller, Antonio Navarra, Ousmane Ndiaye, Andrew Stuart, Joseph Tribbia & Toshio Yamagata. - In: NATURE CLIMATE CHANGE. - ISSN 1758-678X. - STAMPA. - 13:(2023), pp. 887-889. [10.1038/s41558-023-01769-3]
Harnessing AI and computing to advance climate modelling and prediction
Giulio Boccaletti;Antonio Navarra;
2023
Abstract
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.| File | Dimensione | Formato | |
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