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DOI	10.1016/j.atmosres.2020.104954
	Spatiotemporal variability of the precipitation concentration and diversity in Central Asia
	Yang T.; Li Q.; Chen X.; De Maeyer P.; Yan X.; Liu Y.; Zhao T.; Li L.
发表日期	2020
ISSN	0169-8095
卷号	241
英文摘要	More extreme precipitation is expected to occur in the arid and wet regions due to climate warming. This intensification will increase the risk of floods, soil erosion, and droughts in the world's dry regions. Exploring the precipitation's irregularity and the daily precipitation concentration in Central Asia (CA) has significant implications for regional agricultural development and ecosystem services. However, the irregularity of precipitation was poorly understood throughout the entire CA due to the sparse meteorological observations. Using the daily Multi-Source Weighted-Ensemble Precipitation (MSWEP-V2.2) from 1979 to 2016 across CA, this study investigated the spatiotemporal variations of the daily precipitation concentration index (CI) and the precipitation diversity and analyzed their attributes and implications. The results demonstrated that the CI was significantly negatively correlated with the precipitation frequency and amount. The distribution of the precipitation frequency diversity (Hfre) and the precipitation amount diversity (Hamount) showed an opposite pattern with the CI, implying that the low Hfre and Hamount values were corresponding to a high precipitation concentration. The high CI values were found in the Tarim Basin and near the Aral Sea, revealing a strong irregularity in precipitation. The decrease regarding the light precipitation frequency or increase in the torrential precipitation frequency generated the increasing precipitation frequency diversity, corresponding to a widespread significant reduction of the CI in CA. The decreased CI and increased precipitation diversity over past decades were likely related to the warming phase of the Atlantic Multidecadal Oscillation. The shift from light to extreme precipitation will trigger the risk of flooding and soil erosion and bring about big challenges for water resources management in the arid and semi-arid regions. © 2020 Elsevier B.V.
英文关键词	Central Asia; Climate change; Daily precipitation concentration; MSWEP; Precipitation diversity
语种	英语
scopus关键词	Climate change; Ecosystems; Erosion; Precipitation (meteorology); Water resources; Arid and semi-arid regions; Atlantic multidecadal oscillations; Central Asia; Daily precipitations; Meteorological observation; MSWEP; Spatiotemporal variability; Water resources management; Floods; agricultural development; Atlantic Multidecadal Oscillation; climate change; concentration (composition); ecosystem service; flooding; precipitation (climatology); soil erosion; spatiotemporal analysis; Aral Sea; China; Tarim Basin; Xinjiang Uygur
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/141928
作者单位	State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China; Ili Station for Watershed Ecosystem Research, Chinese Academy of Sciences, Xinyuan, 835800, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Department of Geography, Ghent University, Ghent, 9000, Belgium; Sino-Belgian Joint Laboratory of Geo-information, Urumqi, 830011, China; CAS Research Centre for Ecology and Environment of Central Asia, Urumqi, 830011, China; Sino-Belgian Joint Laboratory of Geo-information, Ghent, 9000, Belgium; CAS Key Laboratory of Regional Climate-Environment Research for East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 10029, China
推荐引用方式 GB/T 7714	Yang T.,Li Q.,Chen X.,et al. Spatiotemporal variability of the precipitation concentration and diversity in Central Asia[J],2020,241.
APA	Yang T..,Li Q..,Chen X..,De Maeyer P..,Yan X..,...&Li L..(2020).Spatiotemporal variability of the precipitation concentration and diversity in Central Asia.Atmospheric Research,241.
MLA	Yang T.,et al."Spatiotemporal variability of the precipitation concentration and diversity in Central Asia".Atmospheric Research 241(2020).