Bayesian networks
; Climate models
; Decision making
; Information management
; Water resources
; Bayesian model averaging
; Central Asia
; Down-scaling
; General circulation model
; Meteorological observation
; Spatiotemporal characteristics
; Spatiotemporal heterogeneities
; Water resources management
; Climate change
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China; Department of Geography, Ghent University, Ghent, Belgium; University of Chinese Academy of Science, Beijing, China; Sino-Belgian Joint Laboratory of Geo-information, Urumqi, China and Gent, Belgium; Research Fund Flanders (FWO), Brussels, Belgium
Recommended Citation:
Luo M.,Liu T.,Meng F.,et al. Spatiotemporal characteristics of future changes in precipitation and temperature in Central Asia[J]. International Journal of Climatology,2019-01-01,39(3)