SOM-based synoptic analysis of atmospheric circulation patterns and temperature anomalies in China
文献类型：期刊论文
| 作者 | Gao, M ; Yang, Y; Shi, HH; Gao, ZQ
|
| 刊名 | ATMOSPHERIC RESEARCH
 |
| 出版日期 | 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 |
| 产权排序 | [Gao, Meng ; Yang, Ye ; Gao, Zhiqiang] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China ; [Yang, Ye] Univ Chinese Acad Sci, Beijing 100049, Peoples R China ; [Shi, Honghua] State Ocean Adm, Inst Oceanog 1, Qingdao 266061, Peoples R China ; [Shi, Honghua] Qingdao Natl Lab Marine Sci & Technol, Lab Marine Geol, Qingdao 266061, Peoples R China |
| 文献子类 | Article |
| 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. |
| 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 |
| WOS记录号 | WOS:000459364100005 |
| 资助机构 | Youth Innovation Promotion Association of CAS [2016195] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China [31570423] |
| 源URL | [http://ir.yic.ac.cn/handle/133337/24941]  |
| 专题 | 烟台海岸带研究所_海岸带信息集成与综合管理实验室 烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室 |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 2.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China; 3.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Geol, Qingdao 266061, Peoples R China 4.State Ocean Adm, Inst Oceanog 1, Qingdao 266061, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Gao, M,Yang, Y,Shi, HH,et al. SOM-based synoptic analysis of atmospheric circulation patterns and temperature anomalies in China[J]. ATMOSPHERIC RESEARCH,2019,220:46-56. |
| APA | Gao, M,Yang, Y,Shi, HH,&Gao, ZQ.(2019).SOM-based synoptic analysis of atmospheric circulation patterns and temperature anomalies in China.ATMOSPHERIC RESEARCH,220,46-56. |
| MLA | Gao, M,et al."SOM-based synoptic analysis of atmospheric circulation patterns and temperature anomalies in China".ATMOSPHERIC RESEARCH 220(2019):46-56. |
入库方式： OAI收割
来源：烟台海岸带研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。