Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JCLI-D-16-0488.1 |
Distinct Patterns of Tropical Pacific SST Anomaly and Their Impacts on North American Climate | |
Guo, Yuanyuan1,2; Ting, Mingfang2; Wen, Zhiping1; Lee, Dong Eun2 | |
2017-07-01 | |
发表期刊 | JOURNAL OF CLIMATE |
ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2017 |
卷号 | 30期号:14 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA |
英文摘要 | A neural-network-based cluster technique, the so-called self-organizing map (SOM), was performed to extract distinct sea surface temperature (SST) anomaly patterns during boreal winter. The SOM technique has advantages in nonlinear feature extraction compared to the commonly used empirical orthogonal function analysis and is widely used in meteorology. The eight distinguishable SOM patterns so identified represent three La Nina-like patterns, two near-normal patterns, and three El Nino-like patterns. These patterns show the varied amplitude and location of the SST anomalies associated with El Nino and La Nina, such as the central Pacific (CP) and eastern Pacific (EP) El Nino. The impact of each distinctive SOM pattern on winter-mean surface temperature and precipitation changes over North America was examined. Based on composite maps with observational data, each SOM pattern corresponds to a distinguishable spatial structure of temperature and precipitation anomaly over North America, which seems to result from differing wave train patterns, extending from the tropics to mid-high latitudes induced by longitudinally shifted tropical heating. The corresponding teleconnection as represented by the National Center for Atmospheric Research Community Atmospheric Model, version 4 (CAM4), was compared with the observational results. It was found that the 16-member ensemble average of the CAM4 experiments with prescribed SST can reproduce the observed atmospheric circulation responses to the different SST SOM patterns, which suggests that the circulation differences are largely SST driven rather than due to internal atmospheric variability. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000404018600006 |
WOS关键词 | SELF-ORGANIZING MAPS ; SEA-SURFACE TEMPERATURE ; EL-NINO ; LA-NINA ; ATMOSPHERIC CIRCULATION ; PRECIPITATION ANOMALIES ; ENSO ; VARIABILITY ; REGIMES ; HEIGHT |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/20226 |
专题 | 气候变化 |
作者单位 | 1.Sun Yat Sen Univ, Sch Atmospher Sci, Ctr Monsoon & Environm Res, Guangzhou, Guangdong, Peoples R China; 2.Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY 10027 USA |
推荐引用方式 GB/T 7714 | Guo, Yuanyuan,Ting, Mingfang,Wen, Zhiping,et al. Distinct Patterns of Tropical Pacific SST Anomaly and Their Impacts on North American Climate[J]. JOURNAL OF CLIMATE,2017,30(14). |
APA | Guo, Yuanyuan,Ting, Mingfang,Wen, Zhiping,&Lee, Dong Eun.(2017).Distinct Patterns of Tropical Pacific SST Anomaly and Their Impacts on North American Climate.JOURNAL OF CLIMATE,30(14). |
MLA | Guo, Yuanyuan,et al."Distinct Patterns of Tropical Pacific SST Anomaly and Their Impacts on North American Climate".JOURNAL OF CLIMATE 30.14(2017). |
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