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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Dades bibliogràfiques

Autors principals:	Le Xinlong, Kang Ling, Wu Xilong, Zhou Liwei
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2026-07-01
Col·lecció:	Ain Shams Engineering Journal
Matèries:	Statistical downscaling and bias correction Typical zones in China Global climate models Uncertainty assessment Extreme climate indicators
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2090447926002170
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