Evaluating statistical downscaling and bias-correction methods for climate extremes across major Chinese River basins

Statistical downscaling and bias correction (SDBC) translate coarse-resolution global climate model (GCM) output into regional information, yet skill for extremes is strongly regime-dependent. We evaluate seven widely used SDBC methods for daily precipitation and temperature across four major Chines...

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Autores principales:	Le Xinlong, Kang Ling, Wu Xilong, Zhou Liwei
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2026-07-01
Colección:	Ain Shams Engineering Journal
Materias:	Statistical downscaling and bias correction Typical zones in China Global climate models Uncertainty assessment Extreme climate indicators
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S2090447926002170
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