An improved empirical quantile mapping approach for bias correction of extreme values in climate model simulations
Quantifying and correcting biases in modeling simulations is crucial for deriving meaningful findings across various scientific disciplines. Climate model simulations, in particular, often exhibit systemic biases when compared to observations. These biases may persist in future climate simulations,...
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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
IOP Publishing
2024-01-01
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| Collection: | Environmental Research Letters |
| Sujets: | |
| Accès en ligne: | https://doi.org/10.1088/1748-9326/ad9b3d |
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