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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Bibliografiske detaljer

Principais autores:	Kyuhyun Byun, Alan F Hamlet
Format:	Artigo
Sprog:	Inglês
Udgivet:	IOP Publishing 2024-01-01
Serier:	Environmental Research Letters
Fag:	climate model bias correction climate projection empirical quantile mapping extrapolation extreme values
Online adgang:	https://doi.org/10.1088/1748-9326/ad9b3d
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