SOM-based synoptic analysis of atmospheric circulation patterns and temperature anomalies in China

doi:10.1016/j.atmosres.2019.01.005

	SOM-based synoptic analysis of atmospheric circulation patterns and temperature anomalies in China
	Gao, Meng 1; Yang, Ye 1,2; Shi, Honghua 3,4; Gao, Zhiqiang 1
刊名	ATMOSPHERIC RESEARCH
	2019-05-15
卷号	220 页码:46-56
关键词	Atmospheric circulation Self-organizing map Temperature anomaly Quantitative partition Teleconnection
ISSN号	0169-8095
DOI	10.1016/j.atmosres.2019.01.005
英文摘要	Anomalous atmospheric circulation patterns in relation to surface air temperature anomalies during 1979-2017 within China arc investigated using the self-organizing map neural network. The SOM-based synoptic analysis begins with classifying the normalized daily anomalies of 500-hPa geopotential height, zonal and meridional winds fields into 4 x 4 SOM arrays in winter and summer, respectively. The synoptic analysis shows that the spatial distributions of anomalous geopotential height (anticyclones or cyclones) are highly consistent with that of surface air temperature anomalies within China. The influences of two teleconnections, the El Nifio-Southern Oscillation and the Arctic Oscillation, on anomalous atmospheric circulation patterns and surface air temperature anomalies are also visually investigated based on the above SOM classification. Changes of node frequencies in winter and summer for the two periods 1979-1998 and 1999-2017 are also observed indicting the changes of regional atmospheric circulations. Our analysis also shows that the decrease of cold extreme and the increase of warm extreme in the two periods are mainly caused by the thermodynamics factor within China, while change in atmospheric circulation sometimes contributes negatively to temperature extreme changes.
资助项目	National Natural Science Foundation of China[31570423]
WOS关键词	SELF-ORGANIZING MAP ; ARCTIC OSCILLATION ; PRECIPITATION EXTREMES ; CLIMATE-CHANGE ; TRENDS ; ENSO ; ASSOCIATION ; VARIABILITY ; PERFORMANCE ; FREQUENCY
WOS研究方向	Meteorology & Atmospheric Sciences
语种	英语
出版者	ELSEVIER SCIENCE INC
WOS记录号	WOS:000459364100005
内容类型	期刊论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/25773]
专题	自然资源部第一海洋研究所
通讯作者	Gao, Meng
作者单位	1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.State Ocean Adm, Inst Oceanog 1, Qingdao 266061, Peoples R China 4.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Geol, Qingdao 266061, Peoples R China
推荐引用方式 GB/T 7714	Gao, Meng,Yang, Ye,Shi, Honghua,et al. SOM-based synoptic analysis of atmospheric circulation patterns and temperature anomalies in China[J]. ATMOSPHERIC RESEARCH,2019,220:46-56.
APA	Gao, Meng,Yang, Ye,Shi, Honghua,&Gao, Zhiqiang.(2019).SOM-based synoptic analysis of atmospheric circulation patterns and temperature anomalies in China.ATMOSPHERIC RESEARCH,220,46-56.
MLA	Gao, Meng,et al."SOM-based synoptic analysis of atmospheric circulation patterns and temperature anomalies in China".ATMOSPHERIC RESEARCH 220(2019):46-56.