Investigating the Impact of the Spatiotemporal Bias Correction of Precipitation in CMIP6 Climate Models on Drought Assessments

Precipitation of future climate models is critical for the assessments of future drought but contains large systematic biases over the Tibetan Plateau. Although the common precipitation bias correction method, quantile mapping has achieved remarkable results in terms of temporal bias correction, it...

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Autori principali:	Xin Wang, Jiawei Yang, Junnan Xiong, Gaoyun Shen, Zhiwei Yong, Huaizhang Sun, Wen He, Siyuan Luo, Xingjie Cui
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2022-12-01
Serie:	Remote Sensing
Soggetti:	CMIP6 drought assessment precipitation Qinghai–Tibet Plateau spatiotemporal bias correction SPEI
Accesso online:	https://www.mdpi.com/2072-4292/14/23/6172
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