Statistical geometry of a small surface patch in a developed sea

Based on short-range asymptotics for the structure function, D(r) = L2μ(μ)r2−2μ − B(μ)r2, the fractal (μ>0) and the marginal fractal (μ = 0) regimes in surface geometry are studied. The analysis is self-contained in that it provides a brief exposition of basic notions of fractal geometry (for a monofractal case) as applied to a small surface patch corresponding to the equilibrium wave number spectrum of the form αk−4+2μϒ(θ). Effects of the fractal codimension μ and of the inner and outer scales on the steepness of small-scale wavelets are examined, and the cascade pattern in the geometry of an essentially fractal surface (i.e., when μ≥1/4) is shown to be solely responsible for the observed rms wave slope. On the contrary, the slope of a marginally fractal sea is influenced by the dominant wavelength. The inner scale of the equilibrium range, h, is evaluated for the case of the intermediate degrees of wave development (i.e., when the nondimensional fetch x∼104) by employing a geometrical-statistical theory of breaking waves. The resulting theoretical predictions of whitecap and foam coverage are in good agreement with field observations at h≈0.5 m. Finally, a “fractal decomposition” for a surface patch is developed based on the Karhunen-Loeve expansion. The resulting series formalizes the cascade process of constructing realizations of a Gaussian random patch. The influence of the sea maturity on surface geometry is highlighted by showing it as the main factor of L and μ. The work is aimed at improving the present understanding of microwave remote sensing signatures.

[1]  W. T. Martin,et al.  The Orthogonal Development of Non-Linear Functionals in Series of Fourier-Hermite Functionals , 1947 .

[2]  C. Sparrow The Fractal Geometry of Nature , 1984 .

[3]  G. G. Pihos,et al.  Scatterometer wind speed bias induced by the large-scale component of the wave field , 1988 .

[4]  S. Kitaigorodskii,et al.  On the Theory of the Equilibrium Range in the Spectrum of Wind-Generated Gravity Waves , 1983 .

[5]  Jin Wu Variations of whitecap coverage with wind stress and water temperature , 1988 .

[6]  Roman E. Glazman,et al.  Statistical characterization of sea surface geometry for a wave slope field discontinuous in the mean square , 1986 .

[7]  B. Mandelbrot,et al.  Fractional Brownian Motions, Fractional Noises and Applications , 1968 .

[8]  Kimmo K. Kahma,et al.  A Study of the Growth of the Wave Spectrum with Fetch , 1981 .

[9]  O. Phillips Spectral and statistical properties of the equilibrium range in wind-generated gravity waves , 1985, Journal of Fluid Mechanics.

[10]  M. Longuet-Higgins,et al.  An ‘entraining plume’ model of a spilling breaker , 1974, Journal of Fluid Mechanics.

[11]  J. Hannay,et al.  Topography of random surfaces , 1978, Nature.

[12]  R. Adler,et al.  The Geometry of Random Fields , 1982 .

[13]  M. Longuet-Higgins The statistical analysis of a random, moving surface , 1957, Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences.

[14]  K. Hasselmann On the non-linear energy transfer in a gravity-wave spectrum Part 1. General theory , 1962, Journal of Fluid Mechanics.

[15]  R. Glazman Mathematical Modeling of Breaking Wave Statistics , 1985 .

[16]  R. Glazman Wind-fetch dependence of Seasat scatterometer measurements , 1987 .

[17]  George Z. Forristall,et al.  Measurements of a saturated range in ocean wave spectra , 1981 .

[18]  M. Longuet-Higgins A stochastic model of sea-surface roughness. I. Wave crests , 1987, Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences.

[19]  W. Meecham,et al.  Use of C-M-W representations for nonlinear random process applications , 1972 .

[20]  N. Wiener,et al.  Nonlinear Problems in Random Theory , 1964 .

[21]  M. Donelan,et al.  Directional spectra of wind-generated ocean waves , 1985, Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences.