DOI: 10.1016/j.atmosres.2018.12.015
Scopus记录号: 2-s2.0-85059025461
论文题名: Assessment of extreme precipitation events and their teleconnections to El Niño Southern Oscillation, a case study in the Wei River Basin of China
作者: Jiang R. ; Wang Y. ; Xie J. ; Zhao Y. ; Li F. ; Wang X.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2019
卷: 218 起始页码: 372
结束页码: 384
语种: 英语
英文关键词: El Niño Southern Oscillation
; Extreme precipitation index (EPI)
; Linear and nonlinear relationships
; Spatiotemporal change pattern
; Wei River Basin (WRB)
Scopus关键词: Atmospheric pressure
; Climate models
; Correlation methods
; Nickel compounds
; Nonlinear analysis
; Precipitation (meteorology)
; Principal component analysis
; Rivers
; Spatial distribution
; Stream flow
; Watersheds
; Wavelet analysis
; Extreme precipitation
; Non-linear relationships
; Southern oscillation
; Spatio-temporal changes
; Wei river
; Climate change
; El Nino-Southern Oscillation
; extreme event
; precipitation assessment
; precipitation intensity
; spatial variation
; teleconnection
; temporal variation
; China
; Jing Basin
; Wei Basin
英文摘要: Extreme precipitation index (EPI) is used to assess the extreme precipitation events, to further monitor and detect climate change impacts. The primary objective of the paper is to assess the extreme precipitation events and their spatiotemporal variability of 14 EPIs, and further investigate the linear and nonlinear relationships between typical EPIs and global climate anomalies El Niño Southern Oscillation (ENSO), using Niño 3.4 and SOI as climate indices, for the period of 1969–2016 in the Wei River Basin (WRB) of China. Observed daily precipitation data from 18 meteorological stations in the WRB were selected to calculate 14 EPIs derived or modified from core indices of the CCI/WCRP Expert Team for Climate Change Detection Monitoring and Indices (ETCCDMI). The trends of EPIs were estimated using Mann-Kendall non-parametric test. The teleconnections of ENSO to EPIs were revealed using principal component analysis (PCA), Pearson's correlation and wavelet analysis. Results indicate that: (1) The change patterns of extreme precipitation events varied for different EPIs and different meteorological stations for the period of 1969–2016 in the WRB. Four EPIs were negative trends dominated, and six EPIs were positive trends dominated, indicating that the extreme precipitation events had mainly increased for the past 48 years. (2) The spatial distributions of seven categories of trends were scattered and irregular for different EPIs and different areas of WRB. However, some of the EPIs had similar spatial distributions of trends. For example, the stations that had increasing trends mainly located at the northern part of WRB, especially in the Jing River Basin (JRB), for six precipitation intensity EPIs except R150, which was stationary trend dominated. (3) The nonlinear teleconnection relationships between typical EPIs and two climate anomalies revealed using wavelet analysis were consistent with linear relationships using correlation analysis. The Niño 3.4 and SOI had similar wavelet coherence but opposite phase difference with PC1 of typical EPIs. The phase differences between Niño 3.4 and PC1 of EPIs were anti-phase dominated, and in-phase dominated between SOI and PC1 of EPIs, indicating that the Niño 3.4 exerted negative climate impacts on the extreme precipitation events in the WRB and vice-versa for SOI. (4) The results should be beneficial to assess the extreme precipitation events, which provide references for the water resources planning and management in the WRB. It is possible to estimate and predict the future extreme precipitation events using climate models and global climate anomalies as potential predictors, which should be further studied in our future work. © 2018 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/122329
Appears in Collections: 气候变化事实与影响
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作者单位: State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi'an University of Technology, Xi'an, 710048, China; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China; State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin, 300072, China
Recommended Citation:
Jiang R.,Wang Y.,Xie J.,et al. Assessment of extreme precipitation events and their teleconnections to El Niño Southern Oscillation, a case study in the Wei River Basin of China[J]. Atmospheric Research,2019-01-01,218