Estimation of internal wave velocity in the shallow South China Sea using single and multiple satellite images SCIE SCOPUS

Cited 15 time in WEB OF SCIENCE Cited 21 time in Scopus
Title
Estimation of internal wave velocity in the shallow South China Sea using single and multiple satellite images
Author(s)
Hong, Dan-Bee; Yang, Chan-Su; Ouchi, Kazuo
KIOST Author(s)
Yang, Chan Su(양찬수)
Alternative Author(s)
홍단비; 양찬수
Publication Year
2015-06-03
Abstract
This paper presents results on the estimation of the phase velocity of internal waves (IWs) in the shallow waters of the South China Sea in terms of the water depth using satellite data. To calculate the phase velocity, two methods are considered. The first is based on the different positions of IW images acquired by Environmental Satellite-advanced synthetic aperture radar (ASAR) and Terra-Moderate Resolution Imaging Spectroradiometer (MODIS) in a very short time interval, and the second method uses the images of several packets of IWs associated with semidiurnal tidal period in either a single ASAR or MODIS image. The former is termed as the multitemporal images (MTI) method, and the latter is referred to as the tidal period images (TPI) method. The results show that the wave velocities estimated by the MTI method have strong correlation with those derived from a depth-dependent IW propagation theory, while those by the TPI method have moderate correlation. Both the methods can be used to estimate the IW phase velocity but with reduced accuracy by the TPI method. The main reason of this reduced accuracy is the long tidal period during which the characteristics of IWs change as they propagate over long distance in the water of variable currents and/or bottom topography.
ISSN
2150-704X
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/2456
DOI
10.1080/2150704X.2015.1034884
Bibliographic Citation
REMOTE SENSING LETTERS, v.6, no.6, pp.448 - 457, 2015
Publisher
TAYLOR & FRANCIS LTD
Subject
SOLITARY WAVES; OCEAN; GENERATION; SOLITONS; PROPAGATION; EVOLUTION; TIDES; SAR
Type
Article
Language
English
Document Type
Article
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