El Nino prediction and predictability

被引:129
作者
Chen, Dake [1 ,2 ]
Cane, Mark A. [1 ]
机构
[1] Columbia Univ, Lamont Doherty Geol Observ, Palisades, NY 10964 USA
[2] State Key Lab Satellite Ocean Environm Dynam, Hangzhou, Zhejiang, Peoples R China
基金
美国海洋和大气管理局; 美国国家航空航天局;
关键词
El Nino-Southern Oscillation; prediction; predictability;
D O I
10.1016/j.jcp.2007.05.014
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
El Nino-Southern Oscillation (ENSO) is by far the most energetic, and at present also the most predictable, short-term fluctuation in the Earth's climate system, though the limits of its predictability are still a subject of considerable debate. As a result of over two-decades of intensive observational, theoretical and modeling efforts, ENSO's basic dynamics is now well understood and its prediction has become a routine practice at application centers all over the world. The predictability of ENSO largely stems from the ocean-atmosphere interaction in the tropical Pacific and the low-dimensional nature of this coupled system. Present ENSO forecast models, in spite of their vast differences in complexity, exhibit comparable predictive skills, which seem to have hit a plateau at moderate level. However, mounting evidence suggests that there is still room for improvement. In particular, better model initialization and data assimilation, better simulation of surface heat and freshwater fluxes, and better representation of the relevant processes outside of the tropical Pacific, could all lead to improved ENSO forecasts. (c) 2007 Elsevier Inc. All rights reserved.
引用
收藏
页码:3625 / 3640
页数:16
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