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Deep Learning-based Extreme Heatwave Forecast. (arXiv:2103.09743v3 [cs.LG] UPDATED)
Jan. 14, 2022, 2:11 a.m. | Valérian Jacques-Dumas, Francesco Ragone, Pierre Borgnat, Patrice Abry, Freddy Bouchet
cs.LG updates on arXiv.org arxiv.org
Because of the impact of extreme heat waves and heat domes on society and
biodiversity, their study is a key challenge. We specifically study
long-lasting extreme heat waves, which are among the most important for climate
impacts. Physics driven weather forecast systems or climate models can be used
to forecast their occurrence or predict their probability. The present work
explores the use of deep learning architectures, trained using outputs of a
climate model, as an alternative strategy to forecast the …
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