Abstract

We investigate the statistical properties of a three‐dimensional simple and versatile model for weakly nonlinear gravity waves in infinite depth, referred to as the “choppy wave model” (CWM). This model is analytically tractable, numerically efficient, and robust to the inclusion of high frequencies. It is based on horizontal rather than vertical local displacement of a linear surface and is a priori not restricted to large wavelengths. Under the assumption of space and time stationarity, we establish the complete first‐ and second‐order statistical properties of surface random elevations and slopes for long‐crested as well as fully two‐dimensional surfaces, and we provide some characteristics of the surface variation rate and frequency spectrum. We establish a relationship between the so‐called “dressed spectrum,” which is the enriched wave number spectrum of the nonlinear surface, and the “undressed” one, which is the spectrum of the underlying linear surface. The obtained results compare favorably with other classical analytical nonlinear theories. The slope statistics are further found to exhibit non‐Gaussian peakedness characteristics. Compared to observations, the measured non‐Gaussian omnidirectional slope statistics can only be explained by non‐Gaussian effects and are consistently approached by the CWM.

Highlights

  • The development of fully consistent inversions of sea surface short wave characteristics via the ever increasing capabilities of remote sensing measurements has considerably advanced

  • Nonlinear surface gravity waves are generally prescribed in the context of the potential flow of an ideal fluid

  • Zakharov [1968] showed that the wave height and velocity potential evaluated on the free surface are canonically conjugate variables

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Summary

Introduction

The development of fully consistent inversions of sea surface short wave characteristics via the ever increasing capabilities (radiometric precision, spatial resolution) of remote sensing measurements has considerably advanced. The aim of this paper is to build on this latter simplified phase-perturbation methodology to propose a simple, versatile model, that can reproduce the lowest-order nonlinearity of the perturbative expansion but does not suffer from its related shortcomings This analytical model is certainly not properly new, as it is widely used by the computer graphics community Fournier and Reeves [1986]; Tessendorf [2004] to produce real-time realistic looking sea surfaces. Its main strength is to provide a good compromise between simplicity, stability and accuracy It is a) numerically efficient, as time evolving sample surfaces can be generated by FFT, b) analytically tractable, as it provides explicit formulas for the first- and second-order point statistics, c) robust to the frequency regime, as it is found to be equivalent to the canonical approach (Creamer et al [1989]) at low-frequencies while remaining stable at higher frequencies. The CWM brings the excess kurtosis of omnidirectional slopes significantly closer to the data

Definition
Statistical properties of the space process
First-order properties
High frequency asymptotics
Second-order properties
The 3D model
First-order properties of the space process
Second-order properties of the space process
Undressing the spectrum
Frozen surface
Time evolution
Comparison with classical non-linear theories
Stokes expansion
Longuet-Higgins theory
Weber and Barrick theory
Creamer theory
Comparison with experimental data
Conclusion
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