Skillful statistical prediction of subseasonal temperature by training on dynamical model data
This paper derives statistical models for predicting wintertime subseasonal temperature over the western US. The statistical models are trained on two separate datasets, namely observations and dynamical model simulations, and are based on least absolute shrinkage and selection operator (lasso). Sur...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Cambridge University Press
2023-01-01
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| Serie: | Environmental Data Science |
| Soggetti: | |
| Accesso online: | https://www.cambridge.org/core/product/identifier/S263446022300002X/type/journal_article |
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