| Indices of El Nino and El Nino Modoki： An Improved El Nino Modoki Index |
| |
| 作者姓名： | LI Gen REN Baohu YANG Chengyun ZHENG Jianqiu |
| |
| 作者单位： | 中国科学技术大学,,, |
| |
| 摘 要： |
|
| 关 键 词： | 厄尔尼诺现象 IEMI 热带太平洋 EOF分析 海表温度异常 信号干扰 监测指标 权重系数 |
| 收稿时间： | 25 October 2007 |
Indices of El Nino and El Nino Modoki: An improved El Nino Modoki index |
| |
| LI Gen,REN Baohu,YANG Chengyun,ZHENG Jianqiu.Indices of El Nino and El Nino Modoki: An improved El Nino Modoki index[J].Advances in Atmospheric Sciences,2010,27(5):1210-1220. |
| |
| Authors: | LI Gen REN Baohu YANG Chengyun and ZHENG Jianqiu |
| |
| Institution: | School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026,School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026,School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026,School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026 |
| |
| Abstract: | In recent years, El Nino Modoki (pseudo-El Nino) has been distinguished as a unique large-scale ocean warming phenomenon happening in the central tropical Pacific that is quite different from the traditional El Nino. Empirical Orthogonal Function (EOF) analysis is used to successfully separate El Nino and El Nino Modoki. The abilities of the NINO3 index, NINO3.4 index, NINO1+2 index and NINO4 index in characterizing the El Nino are explored in detail. It is suggested that the NINO3 index is comparatively optimal to monitor the El Nino among the four NINO indices, since other NINO indices either cannot well distinguish El Nino and El Nino Modoki signals or are easily disturbed by El Nino Modoki signals. Further, an improved El Nino Modoki index (IEMI) is introduced to better represent the El Nino Modoki that is captured by the second leading EOF mode of monthly tropical Pacific sea surface temperature anomalies (SSTA). The IEMI is an improvement of the El Nino Modoki index (EMI) through adjusting the inappropriate weight coefficients of the three boxes of EMI, and it effectively overcomes the lack of EMI in monitoring the two historical El Nino Modoki events and also avoids the possible risk of EMI in excluding the interference of El Nino signal, indicating the realistic and potential advantages. |
| |
| Keywords: | El Nino El Nino Modoki NINO3 index improved El Nino Modoki index (IEMI) |
| 本文献已被 维普 万方数据 SpringerLink 等数据库收录！ |
| 点击此处可从《大气科学进展》浏览原始摘要信息 |
| 点击此处可从《大气科学进展》下载免费的PDF全文 |
|
