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Y. Tony Song
Researcher at California Institute of Technology
Publications - 31
Citations - 1046
Y. Tony Song is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Sea-surface height & Tsunami earthquake. The author has an hindex of 19, co-authored 29 publications receiving 911 citations.
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Statistical and dynamical analyses of generation mechanisms of solitary internal waves in the northern South China Sea
TL;DR: In this article, the effects of thermocline shoaling on the ocean internal wave (IW) generation in the north South China Sea (NSCS) were analyzed using seven years of satellite synthetic aperture radar (SAR) images from 1995 to 2001.
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Sea surface salinity and barrier layer variability in the equatorial Pacific as seen from Aquarius and Argo
TL;DR: In this paper, the authors investigated the sea surface salinity (SSS) and barrier layer variability in the equatorial Pacific using recently available Aquarius and Argo data, showing that Aquarius is able to capture most of the SSS features identified by Argo.
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Sub-mesoscale ocean vortex trains in the Luzon Strait
Quanan Zheng,Quanan Zheng,Hui Lin,Junmin Meng,Junmin Meng,Xiaomin Hu,Y. Tony Song,Yuanzhi Zhang,Chunyan Li +8 more
TL;DR: In this paper, the authors used the Argos satellite-tracked surface drifter trajectory data and ENVISAT (European satellite) ASAR (advanced synthetic aperture radar) images to illustrate the ocean vortex trains (OVT) in the Luzon Strait.
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The 26 December 2004 tsunami source estimated from satellite radar altimetry and seismic waves
TL;DR: In this article, a three-dimensional ocean-general-circulation-model (OGCM) coupled with the fault information has been used to simulate the satellite-observed tsunami waves.
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Estimation of interbasin transport using ocean bottom pressure: Theory and model for Asian marginal seas
TL;DR: In this article, the combination of the geostrophic control formula of Garrett and Toulany (1982) and the hydraulic control theory of Whitehead et al. (1974) is proposed to estimate the seasonal variability of the strait transports and is significantly better than the method of using SSH or OBP alone.