A data set of sea surface stereo images to resolve space-time wave fields

Type Article
Date 2020-05
Language English
Author(s) Guimarães Pedro Veras1, Ardhuin FabriceORCID2, Bergamasco Filippo3, Leckler Fabien4, Filipot Jean-Francois1, Shim Jae-Seol5, Dulov Vladimir6, Benetazzo Alvise7
Affiliation(s) 1 : France Energies Marines, Plouzané, France
2 : Univ. Brest, CNRS, IRD, Ifremer, Laboratoire d’Oceánographie Physique et Spatiale (LOPS), IUEM, Plouzané, France
3 : DAIS – Università Ca’ Foscari, Venice, Italy
4 : Service hydrographique et océanographique de la Marine (SHOM, HOM, REC), Brest, 29200, France
5 : KIOST – Korea Institute of Ocean Science and Technology, Busan, South Korea
6 : Marine Hydrophysical Institute, Sebastopol, Russia
7 : Institute of Marine Sciences, Italian National Research Council (ISMAR-CNR), Venice, 30122, Italy
Source Scientific Data (2052-4463) (Springer Science and Business Media LLC), 2020-05 , Vol. 7 , N. 1 , P. 145 (12p.)
DOI 10.1038/s41597-020-0492-9
Abstract

Stereo imaging of the sea surface elevation provides unique field data to investigate the geometry and dynamics of oceanic waves. Typically, this technique allows retrieving the 4-D ocean topography (3-D space + time) at high frequency (up to 15–20 Hz) over a sea surface region of area ~104 m2. Stereo data fill the existing wide gap between sea surface elevation time-measurements, like the local observation provided by wave-buoys, and large-scale ocean observations by satellites. The analysis of stereo images provides a direct measurement of the wavefield without the need of any linear-wave theory assumption, so it is particularly interesting to investigate the nonlinearities of the surface, wave-current interaction, rogue waves, wave breaking, air-sea interaction, and potentially other processes not explored yet. In this context, this open dataset aims to provide, for the first time, valuable stereo measurements collected in different seas and wave conditions to invite the ocean-wave scientific community to continue exploring these data and to contribute to a better understanding of the nature of the sea surface dynamics.

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