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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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Cambridge University Press
2024-01-01
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| Serier: | Environmental Data Science |
| Fag: | |
| Online adgang: | https://www.cambridge.org/core/product/identifier/S2634460224000074/type/journal_article |
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