气候变化领域集成服务门户(CCPortal): Identifying changes and critical drivers of future temperature and precipitation with a hybrid stepwise-cluster variance analysis method

CCPortal

DOI	10.1007/s00704-018-02758-9
	Identifying changes and critical drivers of future temperature and precipitation with a hybrid stepwise-cluster variance analysis method
	Sun, J.; Li, Y. P.; Suo, C.
发表日期	2019-08-01
ISSN	0177-798X
EISSN	1434-4483
卷号	137 期号:3-4 页码:2437-2450
英文摘要	In this study, a hybrid stepwise-cluster variance analysis (HSVA) method is developed for generating future climate projections and identifying critical drivers of temperature and precipitation changes. The proposed HSVA method incorporates global climate
关键词	ANOVA Climate change Precipitation Stepwise-cluster analysis Temperature
学科领域	Meteorology & Atmospheric Sciences
语种	英语
WOS记录号	WOS:000477054700056
来源期刊	THEORETICAL AND APPLIED CLIMATOLOGY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/79329
作者单位	Beijing Normal Univ, Sch Environm, Beijing 100875, Peoples R China
推荐引用方式 GB/T 7714	Sun, J.,Li, Y. P.,Suo, C.. Identifying changes and critical drivers of future temperature and precipitation with a hybrid stepwise-cluster variance analysis method[J],2019,137(3-4):2437-2450.
APA	Sun, J.,Li, Y. P.,&Suo, C..(2019).Identifying changes and critical drivers of future temperature and precipitation with a hybrid stepwise-cluster variance analysis method.THEORETICAL AND APPLIED CLIMATOLOGY,137(3-4),2437-2450.
MLA	Sun, J.,et al."Identifying changes and critical drivers of future temperature and precipitation with a hybrid stepwise-cluster variance analysis method".THEORETICAL AND APPLIED CLIMATOLOGY 137.3-4(2019):2437-2450.