Stochastic pumping of nonlinear modulated waves

IF 5.3 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Chaos Solitons & Fractals Pub Date : 2024-12-19 DOI:10.1016/j.chaos.2024.115896
Natalia V. Kuznetsova, Denis V. Makarov, Alexey V. Slunyaev, Efim N. Pelinovsky
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Abstract

The stochastic nonlinear Schrödinger equation with time- and space-correlated forcing in the form of additive noise is used for modeling the nonlinear evolution of modulationally unstable irregular waves. The additive noise leads to the growth of the wave energy giving rise to abnormally high waves (rogue waves). In the nonlinear regime the increase of the average wave energy occurs much more slowly as compared to the linear regime, but the probability of rogue waves greatly increases during the transient stage of developing modulational instability. The stochastic noise leads to softening of the evolution of all spectral and statistical characteristics, and can significantly change the variation of the fourth statistical moment, but reduces the peak probability of extreme waves just a bit. The results are discussed in application to the wind-generated surface waves in the ocean, where the considered mechanism is responsible for stochastic fluctuations of the surface pressure.
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随机非线性薛定谔方程与时间和空间相关的加性噪声形式的强迫用于模拟调制不稳定的不规则波的非线性演变。加性噪声会导致波能增长,从而产生异常高波(流氓波)。与线性机制相比,非线性机制中平均波浪能量的增加要缓慢得多,但在调制不稳定性发展的瞬态阶段,出现流氓波的概率会大大增加。随机噪声会导致所有频谱和统计特征的演化软化,并显著改变第四统计矩的变化,但只是稍微降低了极端波的峰值概率。讨论结果应用于海洋中风产生的表面波,其中所考虑的机制负责表面压力的随机波动。
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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