2016
DOI: 10.1016/j.apor.2016.11.002
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A simple early warning method for large internal solitary waves in the northern South China Sea

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Cited by 10 publications
(6 citation statements)
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“…The propagation speed and direction of internal waves are significant characteristics that can be used to identify possible generation sites. Typically, propagation direction can be determined from wave‐induced velocities in the earth‐coordinate data (e.g., Li et al, ; Mirshak & Kelley, ). In practice, the earth‐coordinate velocity data acquired from the data archive are highly biased by beam separation effects.…”
Section: Resultsmentioning
confidence: 99%
“…The propagation speed and direction of internal waves are significant characteristics that can be used to identify possible generation sites. Typically, propagation direction can be determined from wave‐induced velocities in the earth‐coordinate data (e.g., Li et al, ; Mirshak & Kelley, ). In practice, the earth‐coordinate velocity data acquired from the data archive are highly biased by beam separation effects.…”
Section: Resultsmentioning
confidence: 99%
“…The design and optimization of hydrokinetic turbines [13,14] and wave power converters [7] should consider these transient changes in the local hydrodynamics generated during low sea states. The generation of transient current accelerations has been identified in internal solitary waves through ADCP (acoustic Doppler current profilers) measurements [15], where kinetic and viscous parameters have been analyzed [16]. The internal solitary waves convey transient accelerations, which vary along the water column and provoke torque and forces over the structures [17,18].…”
Section: Introductionmentioning
confidence: 99%
“…On the one hand, the early warning of the ISWs must ensure timeliness and real-time data. On the other hand, the near-surface current velocity is a major factor affecting the force loads on offshore structures (Li et al, 2016). However, the above two methods are not capable of velocity quantification, and cannot provide good services for engineering applications.…”
Section: Introductionmentioning
confidence: 99%
“…In terms of the prediction of the ISWs, Tian et al (2023) proposed a method for predicting the shear stress induced by shoaling ISWs base on machine learning, and provide reference for reducing damage to the seabed caused by the ISWs. In terms of the real-time warning of the ISWs, only a few research studies (Yuan et al, 2013;Li et al, 2016) on the operational forecast of the ISWs in the SCS were conducted. By providing the mooring with the satellite instant communication system, the mooring data and the parameters of the ISWs can be obtained in real-time.…”
Section: Introductionmentioning
confidence: 99%