A classified El Nino index using AVHRR remote-sensing SST data
文献类型：期刊论文
| 作者 | Song, Wanjiao1; Dong, Qing1; Xue, Cunjin1 |
| 刊名 | INTERNATIONAL JOURNAL OF REMOTE SENSING
 |
| 出版日期 | 2016 |
| 卷号 | 37期号:2页码:403-417 |
| 关键词 | RIVER DELTA GLOBAL CHANGE GROWTH URBANIZATION INFORMATION PATTERNS DECADES CITIES AREAS RAIN |
| 通讯作者 | Dong, Q (reprint author), 9 Dengzhuang South Rd, Beijing 100094, Peoples R China. |
| 英文摘要 | A process-orientated El Nino index (PEI) is constructed to determine the detailed classification of two major types of El Nino events during 1985-2009 from remote-sensing monthly sea surface temperature (SST) anomaly data sets. Four revised Nino regions are defined in the tropical Pacific, and the index uses SST anomalies and their duration in each region. Based on their varying evolution, the index allows eastern Pacific (EP) El Nino events to be either weak or strong EP type, and central Pacific (CP) El Nino events to be either weak CP, strong CP, or mixed EPCP type. The El Nino types identified by this index are compared to those obtained using previously published methods, and the differences are examined and discussed. The results suggest that the PEI is optimal for monitoring El Nino events of weaker amplitude and shorter duration. The PEI is focused on the development process of El Nino events, providing a novel perspective for classifying El Nino types. Analysis of the SST evolution of the El Nino events identified here reveals several misclassifications in previous studies, stressing the disadvantage of relying solely on single areas or short time periods. Existing EP and CP El Nino events in the study period were reclassified by the PEI into weak, strong, and mixed events. The listing of El Nino types produced here can be used for selecting El Nino events for further study of their dynamics and climatic impacts. |
| 学科主题 | Remote Sensing; Imaging Science & Photographic Technology |
| 类目[WOS] | Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000368724700009 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39318]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, PR, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Song, Wanjiao,Dong, Qing,Xue, Cunjin. A classified El Nino index using AVHRR remote-sensing SST data[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2016,37(2):403-417. |
| APA | Song, Wanjiao,Dong, Qing,&Xue, Cunjin.(2016).A classified El Nino index using AVHRR remote-sensing SST data.INTERNATIONAL JOURNAL OF REMOTE SENSING,37(2),403-417. |
| MLA | Song, Wanjiao,et al."A classified El Nino index using AVHRR remote-sensing SST data".INTERNATIONAL JOURNAL OF REMOTE SENSING 37.2(2016):403-417. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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