气候变化领域集成服务门户(CCPortal): A new two-stage multivariate quantile mapping method for bias correcting climate model outputs

CCPortal

DOI	10.1007/s00382-019-04729-w
	A new two-stage multivariate quantile mapping method for bias correcting climate model outputs
	Guo, Qiang; Chen, Jie; Zhang, Xunchang; Shen, Mingxi; Chen, Hua; Guo, Shenglian
发表日期	2019-09-01
ISSN	0930-7575
EISSN	1432-0894
卷号	53 期号:5-6 页码:3603-3623
英文摘要	Bias correction is an essential technique to correct climate model outputs for local or site-specific climate change impact studies. Most commonly used bias correction methods operate on a single variable, which ignores dependency among multiple variables
关键词	Bias correction Inter-variable correlation Statistical downscaling Climate change Global climate model
学科领域	Meteorology & Atmospheric Sciences
语种	英语
WOS记录号	WOS:000483626900065
来源期刊	CLIMATE DYNAMICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/79231
作者单位	Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China
推荐引用方式 GB/T 7714	Guo, Qiang,Chen, Jie,Zhang, Xunchang,et al. A new two-stage multivariate quantile mapping method for bias correcting climate model outputs[J],2019,53(5-6):3603-3623.
APA	Guo, Qiang,Chen, Jie,Zhang, Xunchang,Shen, Mingxi,Chen, Hua,&Guo, Shenglian.(2019).A new two-stage multivariate quantile mapping method for bias correcting climate model outputs.CLIMATE DYNAMICS,53(5-6),3603-3623.
MLA	Guo, Qiang,et al."A new two-stage multivariate quantile mapping method for bias correcting climate model outputs".CLIMATE DYNAMICS 53.5-6(2019):3603-3623.