Journal article
Identifying changes and critical drivers of future temperature and precipitation with a hybrid stepwise-cluster variance analysis method
Abstract
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 models (GCMs), stepwise-cluster analysis (SCA), and analysis of variance (ANOVA) techniques within a general framework. It has advantages in (1) dealing with continuous/discrete variables as …
Authors
Sun J; Li YP; Suo C; Huang GH
Journal
Theoretical and Applied Climatology, Vol. 137, No. 3-4, pp. 2437–2450
Publisher
Springer Nature
Publication Date
August 2019
DOI
10.1007/s00704-018-02758-9
ISSN
0177-798X