DOI: 10.1016/j.atmosres.2019.01.005
Scopus记录号: 2-s2.0-85059799465
论文题名: SOM-based synoptic analysis of atmospheric circulation patterns and temperature anomalies in China
作者: Gao M. ; Yang Y. ; Shi H. ; Gao Z.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2019
卷: 220 起始页码: 46
结束页码: 56
语种: 英语
英文关键词: Atmospheric circulation
; Quantitative partition
; Self-organizing map
; Teleconnection
; Temperature anomaly
Scopus关键词: Atmospheric pressure
; Climatology
; Conformal mapping
; Self organizing maps
; Storms
; Atmospheric circulation
; Atmospheric circulation patterns
; Geo-potential heights
; Self-organizing map neural network
; Southern oscillation
; Surface air temperatures
; Teleconnections
; Temperature anomaly
; Atmospheric temperature
; air temperature
; artificial neural network
; atmospheric circulation
; quantitative analysis
; surface temperature
; synoptic meteorology
; teleconnection
; temperature anomaly
; China
英文摘要: Anomalous atmospheric circulation patterns in relation to surface air temperature anomalies during 1979–2017 within China are 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 × 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 Niño-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. © 2019 Elsevier B.V.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/122308
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Chinese Academy of Sciences, Yantai Institute of Coastal Zone Research, Yantai, 264003, China; University of Chinese Academy of Sciences, Beijing, 100049, China; State Oceanic Administration, The First Institute of Oceanography, Qingdao, 266061, China; Laboratory for Marine Geology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266061, China
Recommended Citation:
Gao M.,Yang Y.,Shi H.,et al. SOM-based synoptic analysis of atmospheric circulation patterns and temperature anomalies in China[J]. Atmospheric Research,2019-01-01,220