Characterizing the signature of a spatio-temporal wind wave field SCIE SCOPUS

Cited 10 time in WEB OF SCIENCE Cited 11 time in Scopus
Title
Characterizing the signature of a spatio-temporal wind wave field
Author(s)
Benetazzo, Alvise; Bergamasco, Filippo; Yoo, Jeseon; Cavaleri, Luigi; Kim, Sun-Sin; Bertotti, Luciana; Barbariol, Francesco; Shim, Jae-Seol
KIOST Author(s)
Yoo, Jeseon(유제선)
Publication Year
2018-09
Abstract
This study aims at characterizing the distinctive features of a spatio-temporal nonlinear wave surface. We analyze wind-generated 3-D wave fields observed during the passage of an atmospheric front, which led to a wide directional spreading of wave energy. Data were acquired from the ocean research station Socheongcho-ORS (Yellow Sea) with a stereo wave imaging system. They include 3-D (i.e. 2-D + time) measurements of the sea surface elevation with high spatial and temporal resolution over a swath larger than any previous similar deployment. We examine the shape and the nonlinear properties of the wavenumber/frequency 3-D wave spectrum, and the characteristic spatial, temporal and spatio-temporal length scales of the wave field. We then focus on analyzing the probability of occurrence and the spatio-temporal size of the rogue waves we identified in the data. In particular, we provide for the first time an empirical estimate of the extent of the horizontal sea surface spanned by rogue waves. We also propose and assess a novel strategy to determine from the 3-D wave spectrum the vertical current profile, to be then used to map the spectrum on intrinsic frequencies.
ISSN
1463-5003
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/2100
DOI
10.1016/j.ocemod.2018.06.007
Bibliographic Citation
OCEAN MODELLING, v.129, pp.104 - 123, 2018
Publisher
ELSEVIER SCI LTD
Subject
SHORT GRAVITY-WAVES; OCEAN SURFACE-WAVES; MARINE RADAR IMAGES; NUMBER SPECTRA; WATER-WAVES; SEA WAVES; AIRBORNE MEASUREMENTS; DISTRIBUTIONS; CURRENTS; HEIGHT
Keywords
Wind waves; Spatio-temporal length scales; Stereo wave imaging; 3-D wave spectrum; Extreme waves; Rogue waves
Type
Article
Language
English
Document Type
Article
Publisher
ELSEVIER SCI LTD
Related Researcher
Research Interests

Coastal disaster,Coastal numerical modeling,Coastal remote sensing,연안재해,수치모델링,연안 원격탐사

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