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Extreme heat wave sampling and prediction with analog Markov chain and comparisons with deep learning

We present a data-driven emulator, a stochastic weather generator (SWG), suitable for estimating probabilities of prolonged heat waves in France and Scandinavia. This emulator is based on the method of analogs of circulation to which we add temperature and soil moisture as predictor fields. We train...

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I tiakina i:
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Ngā kaituhi matua: George Miloshevich, Dario Lucente, Pascal Yiou, Freddy Bouchet
Hōputu: Artigo
Reo:Inglês
I whakaputaina: Cambridge University Press 2024-01-01
Rangatū:Environmental Data Science
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Urunga tuihono:https://www.cambridge.org/core/product/identifier/S2634460224000074/type/journal_article
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