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DOI	10.1504/IJGW.2010.036135
	Robust weighted regression as a downscaling tool in temperature projections
	Goyal, Manish Kumar; Ojha, C. S. P.
通讯作者	Goyal, Manish Kumar
来源期刊	INTERNATIONAL JOURNAL OF GLOBAL WARMING
ISSN	1758-2083
出版年	2010
卷号	2 期号:3 页码:234-251
英文摘要	Downscaling models are developed using robust version of locally weighted regression smoothing scatter plots technique (LOWESS) regression approach for obtaining projections of mean monthly maximum and minimum temperatures (Tmax and Tmin) to Pichola watershed in an arid region in India. Variable Importance in the Projection (VIP) score from Partial Least Squares (PLSs) regression is used to select the variables. A comparison is also done with LOWESS regression approach. The results show that an increasing trend is observed for Tmax and Tmin for A1B, A2 and B1 scenarios whereas no trend is discerned with the COMMIT.
英文关键词	LOWESS regression robust VIP score temperature
类型	Article
语种	英语
国家	India
收录类别	SCI-E
WOS记录号	WOS:000289945200004
WOS关键词	ARTIFICIAL NEURAL-NETWORKS ; CLIMATE-CHANGE SCENARIOS ; SUPPORT VECTOR MACHINE ; BRITISH-COLUMBIA ; PLS-REGRESSION ; PRECIPITATION ; RUNOFF ; IMPACTS ; MODELS ; BASIN
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
来源机构	Arizona State University
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/164675
作者单位	Indian Inst Technol, Dept Civil Engn, Roorkee, Uttar Pradesh, India
推荐引用方式 GB/T 7714	Goyal, Manish Kumar,Ojha, C. S. P.. Robust weighted regression as a downscaling tool in temperature projections[J]. Arizona State University,2010,2(3):234-251.
APA	Goyal, Manish Kumar,&Ojha, C. S. P..(2010).Robust weighted regression as a downscaling tool in temperature projections.INTERNATIONAL JOURNAL OF GLOBAL WARMING,2(3),234-251.
MLA	Goyal, Manish Kumar,et al."Robust weighted regression as a downscaling tool in temperature projections".INTERNATIONAL JOURNAL OF GLOBAL WARMING 2.3(2010):234-251.