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A discrete wavelet spectrum approach for identifying non-monotonic trends in hydroclimate data
Sang, Yan-Fang1,2,3; Sun, Fubao1; Singh, Vijay P.4,5; Xie, Ping6; Sun, Jian1
2018-01-26
Source PublicationHYDROLOGY AND EARTH SYSTEM SCIENCES
ISSN1027-5606
Volume22Issue:1Pages:757-766
Corresponding AuthorSang, Yan-Fang(sangyf@igsnrr.ac.cn) ; Sun, Fubao(sunfb@igsnrr.ac.cn)
AbstractThe hydroclimatic process is changing non-monotonically and identifying its trends is a great challenge. Building on the discrete wavelet transform theory, we developed a discrete wavelet spectrum (DWS) approach for identifying non-monotonic trends in hydroclimate time series and evaluating their statistical significance. After validating the DWS approach using two typical synthetic time series, we examined annual temperature and potential evaporation over China from 1961-2013 and found that the DWS approach detected both the "warming" and the "warming hiatus" in temperature, and the reversed changes in potential evaporation. Further, the identified non-monotonic trends showed stable significance when the time series was longer than 30 years or so (i.e. the widely defined "climate" timescale). The significance of trends in potential evaporation measured at 150 stations in China, with an obvious non-monotonic trend, was underestimated and was not detected by the Mann-Kendall test. Comparatively, the DWS approach overcame the problem and detected those significant non-monotonic trends at 380 stations, which helped understand and interpret the spatio-temporal variability in the hydroclimatic process. Our results suggest that non-monotonic trends of hydroclimate time series and their significance should be carefully identified, and the DWS approach proposed has the potential for wide use in the hydrological and climate sciences.
DOI10.5194/hess-22-757-2018
WOS KeywordHYDROLOGIC TIME-SERIES ; GLOBAL-WARMING HIATUS ; PRACTICAL GUIDE ; CLIMATE-CHANGE ; EVAPORATION ; CHINA ; PRECIPITATION ; DECOMPOSITION ; STREAMFLOW ; DROUGHT
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[91647110] ; National Natural Science Foundation of China[91547205] ; National Natural Science Foundation of China[51579181] ; Program for the Bingwei Excellent Talents from the Institute of Geographic Sciences and Natural Resources Research, CAS ; Youth Innovation Promotion Association CAS[2017074] ; Open Foundation of State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering[2015491811] ; National Mountain Flood Disaster Investigation Project[SHZH-IWHR-57]
Funding OrganizationNational Natural Science Foundation of China ; Program for the Bingwei Excellent Talents from the Institute of Geographic Sciences and Natural Resources Research, CAS ; Youth Innovation Promotion Association CAS ; Open Foundation of State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering ; National Mountain Flood Disaster Investigation Project
WOS Research AreaGeology ; Water Resources
WOS SubjectGeosciences, Multidisciplinary ; Water Resources
WOS IDWOS:000423408200003
PublisherCOPERNICUS GESELLSCHAFT MBH
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/56967
Collection中国科学院地理科学与资源研究所
Corresponding AuthorSang, Yan-Fang; Sun, Fubao
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
2.Univ Washington, Dept Atmospher Sci, Seattle, WA 98195 USA
3.Nanjing Hydraul Res Inst, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210029, Jiangsu, Peoples R China
4.Texas A&M Univ, Dept Biol & Agr Engn, 321 Scoates Hall,2117 TAMU, College Stn, TX 77843 USA
5.Texas A&M Univ, Zachry Dept Civil Engn, 321 Scoates Hall,2117 TAMU, College Stn, TX 77843 USA
6.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China
Recommended Citation
GB/T 7714
Sang, Yan-Fang,Sun, Fubao,Singh, Vijay P.,et al. A discrete wavelet spectrum approach for identifying non-monotonic trends in hydroclimate data[J]. HYDROLOGY AND EARTH SYSTEM SCIENCES,2018,22(1):757-766.
APA Sang, Yan-Fang,Sun, Fubao,Singh, Vijay P.,Xie, Ping,&Sun, Jian.(2018).A discrete wavelet spectrum approach for identifying non-monotonic trends in hydroclimate data.HYDROLOGY AND EARTH SYSTEM SCIENCES,22(1),757-766.
MLA Sang, Yan-Fang,et al."A discrete wavelet spectrum approach for identifying non-monotonic trends in hydroclimate data".HYDROLOGY AND EARTH SYSTEM SCIENCES 22.1(2018):757-766.
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