Joint bias correction and downscaling of subseasonal forecasts via diffusion models
Subseasonal forecasts provide valuable guidance for decision-making but remain limited by systematic biases and coarse spatial resolution, particularly over regions with complex orography. Quantile mapping (QM) is widely used for post-processing because it enables effective bias correction and downs...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Cambridge University Press
2026-01-01
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| Serie: | Environmental Data Science |
| Soggetti: | |
| Accesso online: | https://www.cambridge.org/core/product/identifier/S2634460226100478/type/journal_article |
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