Statistical characterization of short wind waves from stereo images of the sea surface

Abstract : We propose a methodology to extract short-scale statistical characteristics of the sea surface topography by means of stereo image reconstruction. The possibilities and limitations of the technique are discussed and tested on a data set acquired from an oceanographic platform at the Black Sea. A validation is made with simultaneous {\it in situ} measurements as well as results from the literature. We show that one- and two-point properties of the short-scale roughness can be well estimated without resorting to an interpolation procedure or an underlying surface model. We obtain the first cumulants of the probability distribution of small-scale elevations and slopes as well as related structure functions. We derive an empirical parametrization for the skewness function which is of primary importance in analytical scattering models from the sea surface.
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https://hal.archives-ouvertes.fr/hal-00756028
Contributor : Catherine Cardon <>
Submitted on : Thursday, November 22, 2012 - 1:22:17 PM
Last modification on : Monday, August 19, 2019 - 2:22:06 PM

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Alexey Mironov, Maria V. Yurovskaya, Vladimir A. Dulov, Danièle Hauser, Charles-Antoine Guérin. Statistical characterization of short wind waves from stereo images of the sea surface. Journal of Geophysical Research. Oceans, Wiley-Blackwell, 2012, 117, pp.C00J35. ⟨10.1029/2011JC007860⟩. ⟨hal-00756028⟩

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