Cooling
; Piecewise linear techniques
; Time series analysis
; Evolution characteristics
; Global surface air temperature
; Global surface temperature anomalies
; Hiatus
; Multi-decadal evolution
; Piecewise linear regression
; Temperature changes
; Three phase changes
; Climate models
; air temperature
; climate modeling
; CMIP
; decadal variation
; geostatistics
; hiatus
; model validation
; observational method
; regression analysis
; temperature anomaly
State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, China; School of Atmospheric Sciences, Sun Yat-Sen University, Guangzhou, China; Zhuhai Joint Innovative Center for Climate-Environment-Ecosystem, Future Earth Research Institute, Beijing Normal University, Zhuhai, China; Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Chinese Academy of Sciences, Lanzhou, China; Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, China
Recommended Citation:
Zhu X.,Dong W.,Wei Z.,et al. Multi-decadal evolution characteristics of global surface temperature anomaly data shown by observation and CMIP5 models[J]. International Journal of Climatology,2018-01-01,38(3)