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Nonlinear changes in aridity due to precipitation and evapotranspiration in China from 1961 to 2015
Yin, Yunhe1; Ma, Danyang1,2; Wu, Shaohong1,2
2018
Source PublicationCLIMATE RESEARCH
ISSN0936-577X
Volume74Issue:3Pages:263-281
Corresponding AuthorYin, Yunhe(yinyh@igsnrr.ac.cn)
AbstractChanges in regional aridity have complicated spatio-temporal features during the past several decades and have important implications for hydrologic cycles under global climate change. However, nonlinear changes in aridity and its spatial variability in China remain poorly understood. Here, we analyzed the spatial-temporal changes in hydroclimatic variables, including reference evapotranspiration (ETo), precipitation (P), aridity index (AI) and their relationships, mainly based on the ensemble empirical mode decomposition method. A climate dataset from 573 meteorological stations in China was used for the period 1961-2015. The results show that the nonlinearity of changes in aridity was complex, with distinct spatial differences. Approximately 76.09% of stations showed reversed trends in AI during 1961-2015, among which AI initially decreased and then increased, mainly in Inner Mongolia and the areas south of the middle and lower reaches of the Yangtze River. However, their reversal times were not synchronous. The drying to wetting transition mainly occurred in northern areas, including the southern part of Northeast China, the eastern Loess Plateau and the southern North China Plain. Although the majority of stations experienced reversals from downward to upward trends of ETo (53.92%) mainly around the 1990s, increasing precipitation exerted a larger effect on AI. For most eco-geographical regions in China, the nonlinear variations in ETo and P jointly led to the decline in AI over the past 55 yr, and the P trend contributed more than the ETo trend to the change in AI, except in subtropical regions, where ETo variations played a key role.
KeywordAridity Precipitation Reference evapotranspiration Nonlinear Climate change Ensemble empirical mode decomposition EEMD
DOI10.3354/cr01500
WOS KeywordEMPIRICAL MODE DECOMPOSITION ; REFERENCE CROP EVAPOTRANSPIRATION ; SURFACE WIND SPEEDS ; WATER-LIMITED BASIN ; CLIMATE-CHANGE ; TIBETAN PLATEAU ; POTENTIAL EVAPOTRANSPIRATION ; GLOBAL DRYLANDS ; LOESS PLATEAU ; UNITED-STATES
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41571043] ; Key Program of the National Natural Science Foundation of China[41530749] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA05090304] ; Cultivate Project of the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences[TSYJS03]
Funding OrganizationNational Natural Science Foundation of China ; Key Program of the National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Cultivate Project of the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
WOS Research AreaEnvironmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS SubjectEnvironmental Sciences ; Meteorology & Atmospheric Sciences
WOS IDWOS:000428114400006
PublisherINTER-RESEARCH
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/57191
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYin, Yunhe
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Yin, Yunhe,Ma, Danyang,Wu, Shaohong. Nonlinear changes in aridity due to precipitation and evapotranspiration in China from 1961 to 2015[J]. CLIMATE RESEARCH,2018,74(3):263-281.
APA Yin, Yunhe,Ma, Danyang,&Wu, Shaohong.(2018).Nonlinear changes in aridity due to precipitation and evapotranspiration in China from 1961 to 2015.CLIMATE RESEARCH,74(3),263-281.
MLA Yin, Yunhe,et al."Nonlinear changes in aridity due to precipitation and evapotranspiration in China from 1961 to 2015".CLIMATE RESEARCH 74.3(2018):263-281.
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