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DOI: 10.1002/joc.5901
Scopus ID: 2-s2.0-85056279111
Title:
Spatiotemporal characteristics of future changes in precipitation and temperature in Central Asia
Author: Luo M.; Liu T.; Meng F.; Duan Y.; Bao A.; Frankl A.; De Maeyer P.
Source Publication: International Journal of Climatology
ISSN: 8998418
Indexed By: SCI ; SCI-E ; EI
Publishing Year: 2019
Volume: 39, Issue:3
pages begin: 1571
pages end: 1588
Language: 英语
Keyword: Central Asia ; climate change ; downscaling ; general circulation model
Scopus Keyword: 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
English Abstract: The arid and semi-arid areas in Central Asia have scarce water resources and fragile ecosystems that are especially sensitive and vulnerable to climate change. Reliable information regarding future projections of change in climate is crucial for long-term planning of water resources management and structural adjustment of agriculture in this region. However, the low-density meteorological observation network brings great challenges for investigating the effects of climate variations. In this study, variations of precipitation and temperature in Central Asia were examined by a combination of gridded climate dataset of the Climate Research Unit and the latest general circulation models (GCMs) under a representative concentration pathway 4.5. Three downscaling methods, Delta, Advanced Delta, and Bayesian model averaging (BMA) methods, translate the coarse GCMs to local climatic variations for the period 2021–2060 relative to 1965–2004. Major results suggested that the Advanced Delta and BMA methods outperformed the Delta method in precipitation downscaling. Projected precipitation exhibited a general increasing trend at a rate of 4.63 mm/decade for entire Central Asia with strong spatiotemporal heterogeneity. While a declining trend was observed in the southwestern and central parts of Central Asia in summer. The projected temperature was revealed an obvious ascending at 0.37°C/decade, while the warming rate accelerated in higher latitude and mountainous areas. [Correction added on 03 December 2018, after first online publication: The preceding statement has been corrected in this version.] The surface land coverage had significant effects on the variations of precipitation and temperature, respectively. The driven factors of local climate were suggested by analysing the relationships between climate variations and large-scale atmospheric circulation fields anomalies. The findings of this study aims to provide useful information to improve our understanding for future climate change and benefit local decision makers. © 2018 Royal Meteorological Society
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被引频次[WOS]:2   [查看WOS记录]     [查看WOS中相关记录]
Document Type: 期刊论文
Identifier: http://119.78.100.177/globalchange/handle/2HF3EXSE/116538
Appears in Collections:全球变化的国际研究计划

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Affiliation: 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)
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