An Soon-Il, Kim Soong-Ki, Timmermann Axel
Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea.
Center for Climate Physics, Institute for Basic Science (IBS), Busan, 46241, South Korea.
Sci Rep. 2020 Oct 1;10(1):16282. doi: 10.1038/s41598-020-73449-7.
The asymmetric nature of the El Niño-Southern Oscillation (ENSO) is explored by using a probabilistic model (PROM) for ENSO. Based on a Fokker-Planck Equation (FPE), PROM describes the dynamics of a nonlinear stochastic ENSO recharge oscillator model for eastern equatorial Pacific temperature anomalies and equatorial Pacific basin-averaged thermocline depth changes. Eigen analyses of PROM provide new insights into the stationary and oscillatory solutions of the stochastic dynamical system. The first probabilistic eigenmode represents a stationary mode, which exhibits the asymmetric features of ENSO, in case deterministic nonlinearities or multiplicative noises are included. The second mode is linked to the oscillatory nature of ENSO and represents a cyclic asymmetric probability distribution, which emerges from the key dynamical processes. Other eigenmodes are associated with the temporal evolution of higher order statistical moments of the ENSO system. The model solutions demonstrate that the deterministic nonlinearity plays a stronger role in establishing the observed asymmetry of ENSO as compared to the multiplicative stochastic part.
利用厄尔尼诺 - 南方涛动(ENSO)概率模型(PROM)探究了ENSO的不对称性。基于福克 - 普朗克方程(FPE),PROM描述了一个用于东赤道太平洋温度异常和赤道太平洋盆地平均温跃层深度变化的非线性随机ENSO再充电振荡器模型的动力学。PROM的本征分析为随机动力系统的稳态和振荡解提供了新的见解。第一个概率本征模代表一个稳态模式,在包含确定性非线性或乘性噪声的情况下,它表现出ENSO的不对称特征。第二个模式与ENSO的振荡性质相关联,代表一种周期性不对称概率分布,它源自关键的动力过程。其他本征模与ENSO系统高阶统计矩的时间演化相关。模型解表明,与乘性随机部分相比,确定性非线性在确立观测到的ENSO不对称性方面发挥着更强的作用。