Dynamic changes in temperature extremes and their association with atmospheric circulation patterns in the Songhua River Basin, China

doi:10.1016/j.atmosres.2017.02.012

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	Dynamic changes in temperature extremes and their association with atmospheric circulation patterns in the Songhua River Basin, China
	Qin, Chao 1; Zhong, Keyuan 1; Zheng, Fenli 1,2; Wu, Hongyan 1; Xu, Ximeng 1; Zheng, FL (reprint author), Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, 26 Xinong Rd, Yangling 712100, Shaanxi, Peoples R China.
刊名	ATMOSPHERIC RESEARCH
	2017
卷号	190 页码:77-88
关键词	Extreme Temperature Events Arctic Oscillation Index Subtropical High Asia Polar Vortex Multivariate Enso Index
ISSN号	0169-8095
DOI	10.1016/j.atmosres.2017.02.012
文献子类	Article
英文摘要	Understanding dynamic changes in climate extremes is important in forecasting extreme climate events and reducing their associated impacts. The objectives of this study were to analyze the spatiotemporal variations in temperature extremes and their association with atmospheric circulation, based on daily maximum (TX) and minimum temperatures (TN) collected from 60 meteorological stations in the Songhua River Basin (SRB) and its surroundings from 1960 to 2014. Following the ETCCDI (Expert Team on Climate Change Detection and Indices), eight extreme temperature indices, including three warm indices, three cold indices and two extreme indices, were chosen to quantify temperature extremes. The Mann-Kendall method and linear trend analysis were used to examine the trends, and Pearson correlation analysis was used to analyze the correlation between the temperature extremes and each atmospheric circulation. The results showed that warm indices, including the number of warm nights, warm days, and summer days, and extreme indices, including minimum TN and maximum TX, showed increasing trends in the SRB from 1960 to 2014. On the other hand, cold indices, including the number of cold nights, cold days and frost days, showed decreasing trends; Warm indices and maximum TX showed significant positive correlations with latitude (P < 0.01). The Arctic Oscillation index (AO) displayed significant negative correlations with the cold indices (P < 0.01) and positive correlations with the warm indices. The warm indices and extreme indices had positive correlations with the Northern Hemisphere Subtropical High area and intensity indices, while the reverse relationship was found between the cold indices and Northern Hemisphere Subtropical High. The Asia polar vortex area and intensity indices showed negative correlations with warm indices and extreme indices, while they were positively correlated to cold indices. The multivariate ENSO index (MEI) showed no linear correlation with any of the temperature extremes. These findings will provide useful information in forecasting extreme climate events and taking measures to reduce their associated impacts. (C) 2017 Elsevier B.V. All rights reserved.
学科主题	Meteorology & Atmospheric Sciences
URL标识	查看原文
出版地	NEW YORK
语种	英语
出版者	ELSEVIER SCIENCE INC
WOS记录号	WOS:000399631900008
资助机构	National Natural Science Foundation of China [41571263] ; National Natural Science Foundation of China [41571263] ; National Natural Science Foundation of China [41571263] ; National Natural Science Foundation of China [41571263]
内容类型	期刊论文
源URL	[http://ir.iswc.ac.cn/handle/361005/7973]
专题	水保所科研产出--SCI_2017--SCI
通讯作者	Zheng, FL (reprint author), Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, 26 Xinong Rd, Yangling 712100, Shaanxi, Peoples R China.
作者单位	1.Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, 26 Xinong Rd, Yangling 712100, Shaanxi, Peoples R China 2.Chinese Acad Sci, Inst Soil & Water Conservat, 26 Xinong Rd, Yangling 712100, Shaanxi, Peoples R China 3.MWR, 26 Xinong Rd, Yangling 712100, Shaanxi, Peoples R China
推荐引用方式 GB/T 7714	Qin, Chao,Zhong, Keyuan,Zheng, Fenli,et al. Dynamic changes in temperature extremes and their association with atmospheric circulation patterns in the Songhua River Basin, China[J]. ATMOSPHERIC RESEARCH,2017,190:77-88.
APA	Qin, Chao,Zhong, Keyuan,Zheng, Fenli,Wu, Hongyan,Xu, Ximeng,&Zheng, FL .(2017).Dynamic changes in temperature extremes and their association with atmospheric circulation patterns in the Songhua River Basin, China.ATMOSPHERIC RESEARCH,190,77-88.
MLA	Qin, Chao,et al."Dynamic changes in temperature extremes and their association with atmospheric circulation patterns in the Songhua River Basin, China".ATMOSPHERIC RESEARCH 190(2017):77-88.