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Effects of interaction of multiple large-scale atmospheric circulations on precipitation dynamics in China

文献类型：期刊论文

作者Dong, Haixia12; Huang, Shengzhi12; Wang, Hao11; Shi, Haiyun10; Singh, Vijay P.7,8,9; She, Dunxian6; Huang, Qiang12; Leng, Guoyong5; Gao, Liang3,4; Wei, Xiaoting12
刊名SCIENCE OF THE TOTAL ENVIRONMENT
出版日期2024-05-01
卷号923页码:15
关键词Interaction effects Standardized precipitation index Teleconnection factors Partial wavelet coherence Multiple wavelet coherence
ISSN号0048-9697
DOI10.1016/j.scitotenv.2024.171528
英文摘要Different scenarios of precipitation, that lead to such phenomena as droughts and floods are influenced by concurrent multiple teleconnection factors. However, the multivariate relationship between precipitation indices and teleconnection factors, including large-scale atmospheric circulations and sea surface temperature signals in China, is rarely explored. Understanding this relationship is crucial for drought early warning systems and effective response strategies. In this study, we comprehensively investigated the combined effects of multiple large-scale atmospheric circulation patterns on precipitation changes in China. Specifically, Pearson correlation analysis and Partial Wavelet Coherence (PWC) were used to identify the primary teleconnection factors influencing precipitation dynamics. Furthermore, we used the cross -wavelet method to elucidate the temporal lag and periodic relationships between multiple teleconnection factors and their interactions. Finally, the multiple wavelet coherence analysis method was used to identify the dominant two -factor and three -factor combinations shaping precipitation dynamics. This analysis facilitated the quantification and determination of interaction types and influencing pathways of teleconnection factors on precipitation dynamics, respectively. The results showed that: (1) the Atlantic Multidecadal Oscillation (AMO), EI Nino-Southern Oscillation (ENSO), East Asia Summer Monsoon (EASM), and Indian Ocean Dipole (IOD) were dominant teleconnection factors influencing Standardized Precipitation Index (SPI) dynamics; (2) significant correlation and leading or lagging relationships at different timescales generally existed for various teleconnection factors, where AMO was mainly leading the other factors with positive correlation, while ENSO and Southern Oscillation (SO) were mainly lagging behind other factors with prolonged correlations; and (3) the interactions between teleconnection factors were quantified into three types: enhancing, independent and offsetting effects. Specifically, the enhancing effect of twofactor combinations was stronger than the offsetting effect, where AMO + NAO (North Atlantic Oscillation) and AMO + AO (Atlantic Oscillation) had a larger distribution area in southern China. Conversely, the offsetting effect of three -factor combinations was more significant than that of the two -factor combinations, which was mainly distributed in northeast and northwest regions of China. This study sheds new light on the mechanisms of modulation and pathways of influencing various large-scale factors on seasonal precipitation dynamics.
WOS关键词ASIAN SUMMER MONSOONS ; WAVELET COHERENCE ; VARIABILITY ; SOUTH ; TRANSFORM ; CLIMATE
资助项目National Natural Science Foundation of China[52279026] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA28060100] ; National Key Research and Development Program of China[2021YFC3000203] ; Natural Science Foundation of Inner Mongolia Autonomous Region[2021ZD12]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001208135800001
出版者ELSEVIER
资助机构National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Key Research and Development Program of China ; Natural Science Foundation of Inner Mongolia Autonomous Region
源URL[http://ir.igsnrr.ac.cn/handle/311030/204942]  
专题陆地水循环及地表过程院重点实验室_外文论文
通讯作者Huang, Shengzhi
作者单位1.Univ Leipzig, Remote Sensing Ctr Earth Syst Res, D-04103 Leipzig, Germany
2.UFZ Helmholtz Ctr Environm Res, Dept Remote Sensing, Permoserstr 15, D-04318 Leipzig, Germany
3.Univ Macau, Dept Ocean Sci & Technol, Macau 999078, Peoples R China
4.Univ Macau, State Key Lab Internet Things Smart City, Macau 999078, Peoples R China
5.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
6.Wuhan Univ, State Key Lab Water Resources Hydropower Engn Sci, Wuhan 430072, Peoples R China
7.UAE Univ, Natl Water & Energy Ctr, Al Ain, U Arab Emirates
8.Texas A&M Univ, Zachry Dept Civil & Environm Engn, College Stn, TX 77843 USA
9.Texas A&M Univ, Dept Biol & Agr Engn, College Stn, TX 77843 USA
10.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen Key Lab Precis Measurement & Early Warnin, Shenzhen 518055, Peoples R China
推荐引用方式
GB/T 7714		 Dong, Haixia,Huang, Shengzhi,Wang, Hao,et al. Effects of interaction of multiple large-scale atmospheric circulations on precipitation dynamics in China[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2024,923:15.
APA Dong, Haixia.,Huang, Shengzhi.,Wang, Hao.,Shi, Haiyun.,Singh, Vijay P..,...&Peng, Jian.(2024).Effects of interaction of multiple large-scale atmospheric circulations on precipitation dynamics in China.SCIENCE OF THE TOTAL ENVIRONMENT,923,15.
MLA Dong, Haixia,et al."Effects of interaction of multiple large-scale atmospheric circulations on precipitation dynamics in China".SCIENCE OF THE TOTAL ENVIRONMENT 923(2024):15.

入库方式： OAI收割

来源：地理科学与资源研究所

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