DOI: 10.1016/j.atmosres.2018.01.006
Scopus记录号: 2-s2.0-85044369079
论文题名: Spatial-temporal changes of maximum and minimum temperatures in the Wei River Basin, China: Changing patterns, causes and implications
作者: Liu S. ; Huang S. ; Xie Y. ; Huang Q. ; Leng G. ; Hou B. ; Zhang Y. ; Wei X.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 204 起始页码: 1
结束页码: 11
语种: 英语
英文关键词: Annual maximum temperature
; Annual minimum temperature
; Atmospheric circulation anomaly
; Cloud model
; Cross wavelet analysis
; Precipitation extremes
Scopus关键词: Agriculture
; Atmospheric movements
; Climate change
; Cloud computing
; Precipitation (meteorology)
; Soil moisture
; Soil surveys
; Solar energy
; Water resources
; Watersheds
; Wavelet analysis
; Annual maxima
; Atmospheric circulation anomaly
; Cloud modeling
; Cross-wavelet analysis
; Minimum temperatures
; Precipitation extremes
; Atmospheric temperature
; air temperature
; Arctic Oscillation
; atmospheric circulation
; atmospheric modeling
; extreme event
; Pacific Decadal Oscillation
; precipitation (climatology)
; soil moisture
; solar activity
; spatial variation
; sunspot
; temporal variation
; wavelet analysis
; China
; Wei Basin
英文摘要: Due to the important role of temperature in the global climate system and energy cycles, it is important to investigate the spatial-temporal change patterns, causes and implications of annual maximum (Tmax) and minimum (Tmin) temperatures. In this study, the Cloud model were adopted to fully and accurately analyze the changing patterns of annual Tmax and Tmin from 1958 to 2008 by quantifying their mean, uniformity, and stability in the Wei River Basin (WRB), a typical arid and semi-arid region in China. Additionally, the cross wavelet analysis was applied to explore the correlations among annual Tmax and Tmin and the yearly sunspots number, Arctic Oscillation, Pacific Decadal Oscillation, and soil moisture with an aim to determine possible causes of annual Tmax and Tmin variations. Furthermore, temperature-related impacts on vegetation cover and precipitation extremes were also examined. Results indicated that: (1) the WRB is characterized by increasing trends in annual Tmax and Tmin, with a more evident increasing trend in annual Tmin, which has a higher dispersion degree and is less uniform and stable than annual Tmax; (2) the asymmetric variations of Tmax and Tmin can be generally explained by the stronger effects of solar activity (primarily), large-scale atmospheric circulation patterns, and soil moisture on annual Tmin than on annual Tmax; and (3) increasing annual Tmax and Tmin have exerted strong influences on local precipitation extremes, in terms of their duration, intensity, and frequency in the WRB. This study presents new analyses of Tmax and Tmin in the WRB, and the findings may help guide regional agricultural production and water resources management. © 2018 Elsevier B.V.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/108927
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
There are no files associated with this item.
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; Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
Recommended Citation:
Liu S.,Huang S.,Xie Y.,et al. Spatial-temporal changes of maximum and minimum temperatures in the Wei River Basin, China: Changing patterns, causes and implications[J]. Atmospheric Research,2018-01-01,204