Investigating a nonlinear characteristic of El Nino events by conditional nonlinear optimal perturbation

被引:33
|
作者
Duan, Wansuo [1 ]
Xue, Feng [1 ]
Mu, Mu [1 ]
机构
[1] Chinese Acad Sci, LASG, Inst Atmospher Phys, Beijing 100029, Peoples R China
关键词
ENSO model; Nonlinearity; Optimal perturbation; Strong El Nino events; SOUTHERN-OSCILLATION; ENSO; MODEL; PREDICTABILITY; DYNAMICS; PACIFIC; GROWTH;
D O I
10.1016/j.atmosres.2008.09.003
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
We use the approach of conditional nonlinear optimal perturbation (CNOP) to investigate the optimal precursory disturbances in a theoretical El Nino-Southern Oscillation (ENSO) model and then an intermediate model. By exploring the dynamical behaviors of the El Nino events caused by these CNOP-type precursors, a characteristic for this kind of theoretical El Nino events is shown, i.e., the stronger El Nino events tend to decay faster and have shorter durations of the decaying phase. By examining the observed El Nino events, it is found that the Nino-3.4 SSTA are more potential than the Nino-3 SSTA in illustrating the decaying characteristic of the theoretical El Nino events. In particular, it is the Nino-3.4 indices for the strong El Nino events during 1981-2007 that roughly show the decaying characteristic. Based on the physics of the theoretical model, the mechanism responsible for the above decaying characteristic of strong El Nino events is explored. The analysis demonstrates that the property of the stronger El Nino event decaying faster can be realized only through the linear dynamics with the combined effects of the rising of thermocline and the mean upwelling, but that of the stronger El Nino event having a shorter duration of the decaying phase results from a nonlinear mechanism. It is shown that the nonlinearity related to the anomalous temperature advection in the tropical Pacific shortens the duration of the decaying phase for El Nino event. The stronger the El Nino event, the stronger the nonlinearity, then the more considerable the suppressing of the nonlinearity on the duration of the decaying phase for El Nino event. This explains why the stronger El Nino events have shorter durations of the decaying phase. Also, this sheds light on why the observed strong El Nino events are more likely to show this characteristic. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:10 / 18
页数:9
相关论文
共 50 条
  • [41] Nonlinear modeling of El Nino/southern oscillation index
    Ahn, JH
    Kim, HS
    JOURNAL OF HYDROLOGIC ENGINEERING, 2005, 10 (01) : 8 - 15
  • [42] A nonlinear mechanism for decadal El Nino amplitude changes
    Timmermann, A
    Jin, FF
    GEOPHYSICAL RESEARCH LETTERS, 2002, 29 (01) : 3 - 1
  • [43] The characteristic variability of boreal wintertime atmospheric circulation in El Nino events
    Lee, EJ
    Jhun, JG
    Kang, IS
    JOURNAL OF CLIMATE, 2002, 15 (08) : 892 - 904
  • [44] An extension to ensemble forecast of conditional nonlinear optimal perturbation considering nonlinear interaction between initial and model parametric uncertainties
    Mu, Bin
    Zhao, Zi-Jun
    Yuan, Shi-Jin
    Chen, Xing-Rong
    Qin, Bo
    Dai, Guo-Kun
    ATMOSPHERIC RESEARCH, 2024, 311
  • [45] Applications of conditional nonlinear optimal perturbation in predictability study and sensitivity analysis of weather and climate
    Mu Mu
    Wansuo Duan
    Hui Xu
    Bo Wang
    Advances in Atmospheric Sciences, 2006, 23 : 992 - 1002
  • [46] PPSO: PCA based particle swarm optimization for solving conditional nonlinear optimal perturbation
    Mu, Bin
    Wen, Shicheng
    Yuan, Shijin
    Li, Hongyu
    COMPUTERS & GEOSCIENCES, 2015, 83 : 65 - 71
  • [47] Extended application of the conditional nonlinear optimal parameter perturbation method in the common land model
    Bo Wang
    Zhenhua Huo
    Advances in Atmospheric Sciences, 2013, 30 : 1213 - 1223
  • [48] Applications of conditional nonlinear optimal perturbation in predictability study and sensitivity analysis of weather and climate
    Mu Mu
    Duan Wansuo
    Xu Hui
    Wang Bo
    ADVANCES IN ATMOSPHERIC SCIENCES, 2006, 23 (06) : 992 - 1002
  • [49] Extended application of the conditional nonlinear optimal parameter perturbation method in the common land model
    Wang Bo
    Huo Zhenhua
    ADVANCES IN ATMOSPHERIC SCIENCES, 2013, 30 (04) : 1213 - 1223
  • [50] A new approach to the generation of initial perturbations for ensemble prediction:Conditional nonlinear optimal perturbation
    MU Mu1 & JIANG ZhiNa1
    2 LaSW
    Chinese Science Bulletin, 2008, (13) : 2062 - 2068