Abstract

The problem of unidirectional shoaling of a water-wave field with a narrow energy spectrum is treated by using a new Alber equation. The stability of the linear stationary solution to small non-stationary disturbances is analysed; and numerical solutions for its subsequent long-distance evolution are presented. The results quantify the physics which causes the gradual decay in the probability of freak-wave occurrence, when moving from deep to shallow coastal waters.

Highlights

  • Beginning with a Schrödinger equation in infinite or constant depth as their starting point, Longuet-Higgins (1976) and Alber (1978) obtained two rather different stochastic evolution equations.Longuet-Higgins assumed that the wave field is a homogeneous and nearly Gaussian random process

  • Alber’s findings are the stochastic counterpart of the well-known deterministic Benjamin–Feir instability, which can be described with the cubic Schrödinger equation

  • The deterministic evolution of a nonlinear, shoaling, ocean wave field with a narrow spectral band is governed by a cubic Schrödinger equation, see (Iusim & Stiassnie 1985):

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Summary

Introduction

Beginning with a Schrödinger equation in infinite or constant depth as their starting point, Longuet-Higgins (1976) and Alber (1978) obtained two rather different stochastic evolution equations. Longuet-Higgins assumed that the wave field is a homogeneous and nearly Gaussian random process His result is the narrow-band limit of the Hasselmann kinetic equation. On the other hand, enabled the random process to be inhomogeneous but required Gaussianity He used his equation to study the instability of a homogeneous wave field to inhomogeneous disturbances. Stiassnie, Regev & Agnon (2008) solved the Alber equation in infinite depth numerically and showed that a stochastic parallel to the Fermi–Pasta–Ulam recurrence exists. This stochastic recurrence enabled them to study the probability of waves that are higher than.

Background and formulation
Linear stability analysis
Numerical approach
Long-distance evolution
Full Text
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