DOI: 10.1016/j.atmosres.2017.10.012
Scopus记录号: 2-s2.0-85033590195
论文题名: Multi-scale linkages of winter drought variability to ENSO and the Arctic Oscillation: A case study in Shaanxi, North China
作者: Liu Z. ; Zhang X. ; Fang R.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 200 起始页码: 117
结束页码: 125
语种: 英语
英文关键词: Arctic Oscillation
; Drought
; ENSO
; PDSI
; Shaanxi
; Wavelet analysis
Scopus关键词: Atmospheric pressure
; Drought
; Orthogonal functions
; Water resources
; Water resources exploration
; Wavelet analysis
; Arctic Oscillation
; Empirical Orthogonal Function
; ENSO
; PDSI
; Self-calibrating Palmer drought severity indices
; Shaanxi
; Spatiotemporal variability
; Water resources planning
; Climatology
; Arctic Oscillation
; climate conditions
; drought
; El Nino-Southern Oscillation
; regional climate
; spatial variation
; temporal variation
; wavelet analysis
; winter
; China
; Shaanxi
英文摘要: Understanding the potential connections between climate indices such as the El Niño-Southern Oscillation (ENSO) and Arctic Oscillation (AO) and drought variability will be beneficial for making reasonable predictions or assumptions about future regional droughts, and provide valuable information to improve water resources planning and design for specific regions of interest. This study is to examine the multi-scale relationships between winter drought variability over Shaanxi (North China) and both ENSO and AO during the period 1960–2009. To accomplish this, we first estimated winter dryness/wetness conditions over Shaanxi based on the self-calibrating Palmer drought severity index (PDSI). Then, we identified the spatiotemporal variability of winter dryness/wetness conditions in the study area by using the empirical orthogonal function (EOF). Two primary sub-regions of winter dryness/wetness conditions across Shaanxi were identified. We further examined the periodical oscillations of dryness/wetness conditions and the multi-scale relationships between dryness/wetness conditions and both ENSO and AO in winter using wavelet analysis. The results indicate that there are inverse multi-scale relations between winter dryness/wetness conditions and ENSO (according to the wavelet coherence) for most of the study area. Moreover, positive multi-scale relations between winter dryness/wetness conditions and AO are mainly observed. The results could be beneficial for making reasonable predictions or assumptions about future regional droughts and provide valuable information to improve water resources planning and design within this study area. In addition to the current study area, this study may also offer a useful reference for other regions worldwide with similar climate conditions. © 2017 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/109016
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Department/Center of Water Resources and Environment, Sun Yat-sen University, Guangzhou, 510275, China; College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling, 712100, China; First Geoinformation Mapping Institute, National Administration of Surveying, Mapping and Geoinformation, Xi'an, 710054, China; Guangdong Engineering Technology Research Center of Water Security Regulation and Control for Southern China, Sun Yat-sen University, Guangzhou, 510275, China; Key Laboratory of Water Cycle and Water Security in Southern China of Guangdong High Education Institute, Sun Yat-sen University, Guangzhou, 510275, China
Recommended Citation:
Liu Z.,Zhang X.,Fang R.. Multi-scale linkages of winter drought variability to ENSO and the Arctic Oscillation: A case study in Shaanxi, North China[J]. Atmospheric Research,2018-01-01,200