A new approach to studying ENSO predictability:Conditional nonlinear optimal perturbation

被引：42

作者：

MU Mu & DUAN Wansuo LASG

机构：

来源：

Chinese Science Bulletin | 2003年 / 10期

关键词：

nonlinear; optimal perturbation; predictability; ENSO model;

D O I：

暂无

中图分类号：

P433 [大气动力学];

学科分类号：

0706 ; 070601 ;

摘要：

A new approach, the conditional nonlinear optimal perturbation (CNOP) is introduced to study the predictability of El Ni駉-Southern Oscillation (ENSO) using a theoretical coupled ocean-atmosphere model. The differences between CNOP and linear singular vector (LSV) are demonstrated. The results suggest that the nonlinear model and CNOP are superior in determining error growth for studying predictability of the ENSO. In particular, the CNOP approach is used to explore the nature of the 憇pring predictability barrier?in ENSO prediction.

引用

页码：1045 / 1047

页数：3

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