干旱区生态环境知识资源中心(Arid): Extreme Temperature Events during 1960-2017 in the Arid Region of Northwest China: Spatiotemporal Dynamics and Associated Large-Scale Atmospheric Circulation

Arid

DOI	10.3390/su12031198
	Extreme Temperature Events during 1960-2017 in the Arid Region of Northwest China: Spatiotemporal Dynamics and Associated Large-Scale Atmospheric Circulation
	Pi, Yuanyue 1,2; Yu, Yang 1,2; Zhang, Yuqing 3; Xu, Changchun 4; Yu, Ruide 1,2
通讯作者	Yu, Yang ; Yu, Ruide
来源期刊	SUSTAINABILITY
EISSN	2071-1050
出版年	2020
卷号	12 期号:3
英文摘要	Studying the dynamic changes of extreme temperatures and associated large-scale atmospheric circulation is important for predicting the occurrence of extreme temperatures and reducing their adverse impact and damage. Based on the surface temperature data sets collected from 87 weather stations over the arid region of Northwest China (ARNC) during 1960-2017, the Sen's slope estimator, Mann-Kendall test, Cumulative anomaly, Moving t-test, and Synthetic analysis methods were used to analyze the spatiotemporal dynamics and breaking-point change characteristics of extreme temperatures, and to discuss its associated large-scale atmospheric circulation. The results revealed that at the temporal scale, summer days (SU25), warm days (TX90p), warm nights (TN90p), and warm spell duration indicator (WSDI) showed a remarkable increasing trend at the rates of 2.27, 1.49, 3, and 2.28 days/decade, respectively. The frost days (FD), cold days (TX10p), cold nights (TN10p), and cold spell duration indicator (CSDI) significantly decreased at the rates of -3.71, -0.86, -1.77, and -0.76 days/decade, respectively, during the study period. Spatially, the warming trend in the study area is very obvious as a whole, despite pronounced spatial differences in warming rate. After the breakpoint years, the frequency and probability distribution for extreme warm and cold indices were all inclined to the hotter part of the density distribution. This indicates that the climate over the study region shifted sharply and tended to be warmer. The analysis of large-scale atmospheric circulation indicates that the warming trend in the arid region of Northwest China (ARNC) is positively correlated with geopotential height at 500 hPa and negatively correlated with total cloudiness. The findings from this study have important implications for forecasting extreme temperature events and mitigating the impacts of climatological disasters in this region.
英文关键词	extreme temperature events climate change atmospheric circulation arid area
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	Green Published, gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000524899603032
WOS关键词	DAILY CLIMATE EXTREMES ; PRECIPITATION EXTREMES ; SURFACE-TEMPERATURE ; LOESS PLATEAU ; HUMAN HEALTH ; RIVER-BASIN ; TRENDS ; VARIABILITY ; INDEXES ; PATTERNS
WOS类目	Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
来源机构	中国科学院新疆生态与地理研究所 ; 新疆大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/315621
作者单位	1.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 3.Huaiyin Normal Univ, Sch Urban & Environm Sci, Huaian 223300, Peoples R China; 4.Xinjiang Univ, Coll Resource & Environm Sci, Urumqi 830046, Peoples R China
推荐引用方式 GB/T 7714	Pi, Yuanyue,Yu, Yang,Zhang, Yuqing,et al. Extreme Temperature Events during 1960-2017 in the Arid Region of Northwest China: Spatiotemporal Dynamics and Associated Large-Scale Atmospheric Circulation[J]. 中国科学院新疆生态与地理研究所, 新疆大学,2020,12(3).
APA	Pi, Yuanyue,Yu, Yang,Zhang, Yuqing,Xu, Changchun,&Yu, Ruide.(2020).Extreme Temperature Events during 1960-2017 in the Arid Region of Northwest China: Spatiotemporal Dynamics and Associated Large-Scale Atmospheric Circulation.SUSTAINABILITY,12(3).
MLA	Pi, Yuanyue,et al."Extreme Temperature Events during 1960-2017 in the Arid Region of Northwest China: Spatiotemporal Dynamics and Associated Large-Scale Atmospheric Circulation".SUSTAINABILITY 12.3(2020).