Examination of the SeaSonde wave processing settings and the effects of shallow water on wave measurements

Evans, Colin; Roarty, Hugh; Kohut, Josh; Glenn, Scott

doi:10.1109/oceans.2012.6405004

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…In order to further observe the relationship between surface current and wave height, Fig. 1 presents the simulation results based on (2) and (6). Fig.…”

Section: Numerical Simulationmentioning

confidence: 99%

“…In 1977, according to the first-order [1] and second-order [2] sea surface scattering theory, Barrick [3] proposed a wave height inversion algorithm for HF radar which is based on the integral ratio of the second-order continuum spectrum to the first-order spectrum. Since then, many scholars have worked on simplifying and optimizing this algorithm [4], [5], [6]. Besides, since the wave height can be easily calculated from the ocean wave spectrum, much effort has been put into inversion of the wave spectrum from the second-order continuum spectrum of HF radar [7], [8], [9], [10], [11].…”

Section: Introductionmentioning

confidence: 99%

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Wave Height Mapping From HF Radar-Measured Surface Current Data Based on a Cascaded LSTM Network

Tian,

Ma,

Yang

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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High-frequency (HF) surface wave radar has been widely used for measuring sea surface current, but its accuracy and spatial coverage of sea wave measurement are limited. A wave height mapping method based on HF radar-measured surface currents is proposed in this article. The tidal currents are firstly estimated and subtracted from the radar-measured surface currents, and then the geostrophic currents are removed. The remaining currents, along with the wind directions, are used as input data to a cascaded long short-term memory (LSTM) network. This network contains two stages. The first stage divides the input data into two groups of high and low sea states, and the second stage performs wave height inversion for each group separately. By combining the inversion results of the two groups, wave height maps are obtained. The algorithm is verified using the experimental data from the southwestern Taiwan Strait. Using the numerical wave height fields as the ground truth, the proposed algorithm has a root-mean-square error (RMSE) of 0.35 m and a correlation coefficient (CC) of 0.90.

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“…In order to further observe the relationship between surface current and wave height, Fig. 1 presents the simulation results based on (2) and (6). Fig.…”

Section: Numerical Simulationmentioning

confidence: 99%