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Occurrence of drought events at the land-atmosphere interface in Central Asia assessed via advanced microwave scanning radiometer data

文献类型：期刊论文

作者Yang, Peng1; Zhang, Shengqing1; Xia, Jun2,3; Zhang, Yongyong2; Wang, Wenyu1; Yao, Tianci2
刊名INTERNATIONAL JOURNAL OF CLIMATOLOGY
出版日期2022-05-22
页码18
关键词AMSR ASWI Central Asia climate change drought event
ISSN号0899-8418
DOI10.1002/joc.7655
通讯作者Xia, Jun(xiaj@igsnrr.ac.cn) ; Zhang, Yongyong(zhangyy003@igsnrr.ac.cn)
英文摘要The timely and effective early warning of sudden drought events is of great importance for reducing disaster losses and drought risk. Satellite microwave remote sensing with the advanced microwave scanning radiometer (AMSR) has enabled the global monitoring of multiple components of water, such as soil moisture (SM), vapour pressure deficit (VPD), and open water fraction (OWF), on a daily scale since 2002. In this study, the applicability of the AMSR surface wetness index (ASWI) and drought features in Central Asia were studied from 2002 to 2017 based on AMSR data. This study concluded that (1) the spatial and temporal differences in the various water components and coefficient of variation of the Central Asia land-atmosphere interface were large, which led to large spatial and temporal differences under both dry and wet conditions in Central Asia; (2) although the ASWI was not significantly correlated with other drought indices (i.e., gravity recovery and climate experiment (GRACE) combined climatological deviation index (CCDI) and GRACE drought severity index (DSI)) over Central Asia, the maximum Pearson correlation coefficient (CC) between the ASWI and Palmer drought severity index (PDSI) in the Irtysh River Basin was 0.824 (p < 0.05), corresponding to a moving average window of 11 months. The CCs of ASWI and Standardized Precipitation Evapotranspiration Index on a 6-month scale (SPEI-6) in Central Asia were generally more than 0.8 (p < 0.05), indicating that the ASWI was effective for retrieving drought conditions in Central Asia. In addition, these four drought indices (ASWI, PDSI, GRACE-DSI, and GRACE-CCDI) revealed that drought occurred continuously after 2003 in Central Asia; (3) the spatial and temporal distribution of dry and wet conditions in Central Asia is closely related to the teleconnection indices (i.e., MEI, SOI, and PDO). Thus, AMSR data are critical for understanding drought events and their evolution in regions influenced by climate change.
WOS关键词WATER STORAGE VARIATIONS ; CLIMATE-CHANGE ; TIANSHAN MOUNTAINS ; SEVERITY INDEX ; RIVER-BASIN ; GRACE ; IMPACTS ; VARIABILITY ; STREAMFLOW ; RUNOFF
资助项目Youth Foundation for Humanities and Social Science Research of the Ministry of Education[20YJCZH207] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20040302]
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000798531000001
出版者WILEY
资助机构Youth Foundation for Humanities and Social Science Research of the Ministry of Education ; Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/177556]  
专题中国科学院地理科学与资源研究所
通讯作者Xia, Jun; Zhang, Yongyong
作者单位1.China Univ Geosci, Sch Geog & Informat Engn, Wuhan, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
3.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan, Peoples R China
推荐引用方式
GB/T 7714		 Yang, Peng,Zhang, Shengqing,Xia, Jun,et al. Occurrence of drought events at the land-atmosphere interface in Central Asia assessed via advanced microwave scanning radiometer data[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2022:18.
APA Yang, Peng,Zhang, Shengqing,Xia, Jun,Zhang, Yongyong,Wang, Wenyu,&Yao, Tianci.(2022).Occurrence of drought events at the land-atmosphere interface in Central Asia assessed via advanced microwave scanning radiometer data.INTERNATIONAL JOURNAL OF CLIMATOLOGY,18.
MLA Yang, Peng,et al."Occurrence of drought events at the land-atmosphere interface in Central Asia assessed via advanced microwave scanning radiometer data".INTERNATIONAL JOURNAL OF CLIMATOLOGY (2022):18.

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来源：地理科学与资源研究所

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