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DOI10.1016/j.atmosres.2020.105256
Potential linkages of extreme climate events with vegetation and large-scale circulation indices in an endorheic river basin in northwest China
Cheng, Qingping; Zhong, Fanglei; Wang, Ping
通讯作者Zhong, FL (通讯作者),Lanzhou Univ, Sch Econ, Lanzhou 730000, Peoples R China.
发表日期2021
ISSN0169-8095
EISSN1873-2895
卷号247
英文摘要Extreme climate events have devastating effects on human society and environment, and understanding the characteristics of past change is critical for reliable projections of future changes. This study aimed to analyze the spatiotemporal variations in extreme climate events and their impact on vegetation, and considered the associations with individual and multi-factor large-scale circulation indices. Extreme warm indices increased, accompanied by corresponding decreases in extreme cold indices. Indices of nighttime warming were higher than those of daytime warming, indicating instability associated with climate change. Extreme precipitation indices also showed significant increase, whereas abrupt changes were more prevalent in extreme temperature indices than in extreme precipitation indices. Overall, the Heihe River Basin has become warmer and wetter between 1961 and 2016 and the extreme events frequency has increased. Spatially, more annual frost days (ice days) and max 1-day precipitation amount (max 5-day precipitation amount, very wet days) were observed in Qilian Mountain, whereas summer days, tropical nights and consecutive dry days were distributed in the Hexi Corridor and Desert areas. Different vegetation types of normalized-difference vegetation index net primary productivity and vegetation coverage were significantly positively correlated with extreme temperature, whilst significant positive or negative correlations were observed between extreme climate indices and large-scale circulation indices in the Qilian Mountain. In contrast, a significant positive correlation with extreme precipitation more significant, meanwhile, correlations between large-scale circulation indices with extreme temperature more obviously was found in the Hexi Corridor and Desert areas. Multiple wavelet coherence revealed that combinations of large-scale circulation indices are better predictors of changes in 5-day maximum precipitation, cool nights and warm nights in the Qilian Mountain than in Hexi Corridor and Desert areas. These findings have important implications for research of hydrometeorological-ecohydrological processes in alpine endorheic river basins.
关键词MULTIPLE-WAVELET COHERENCEPRECIPITATION EXTREMESTEMPERATURE EXTREMESINNER-MONGOLIAARID REGIONSPATIOTEMPORAL VARIABILITYSTREAMFLOW VARIABILITYHEAVY-PRECIPITATIONHYDROLOGICAL CYCLESPATIAL VARIATIONS
英文关键词Extreme climate events; Large-scale circulation indices; Different vegetation types; Multiple wavelet coherence; Heihe River Basin
语种英语
WOS研究方向Meteorology & Atmospheric Sciences
WOS类目Meteorology & Atmospheric Sciences
WOS记录号WOS:000586020600047
来源期刊ATMOSPHERIC RESEARCH
来源机构中国科学院西北生态环境资源研究院
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/254538
作者单位[Cheng, Qingping] Southwest Forestry Univ, Sch Geog & Ecotourism, Kunming 650224, Yunnan, Peoples R China; [Cheng, Qingping] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China; [Zhong, Fanglei] Lanzhou Univ, Sch Econ, Lanzhou 730000, Peoples R China; [Wang, Ping] Yunnan Normal Univ, Sch Tourism & Geog Sci, Kunming 650500, Yunnan, Peoples R China
推荐引用方式
GB/T 7714
Cheng, Qingping,Zhong, Fanglei,Wang, Ping. Potential linkages of extreme climate events with vegetation and large-scale circulation indices in an endorheic river basin in northwest China[J]. 中国科学院西北生态环境资源研究院,2021,247.
APA Cheng, Qingping,Zhong, Fanglei,&Wang, Ping.(2021).Potential linkages of extreme climate events with vegetation and large-scale circulation indices in an endorheic river basin in northwest China.ATMOSPHERIC RESEARCH,247.
MLA Cheng, Qingping,et al."Potential linkages of extreme climate events with vegetation and large-scale circulation indices in an endorheic river basin in northwest China".ATMOSPHERIC RESEARCH 247(2021).
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