2020
DOI: 10.1016/j.rsma.2020.101390
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Spectral analysis of sea surface elevations produced by big storms: The case of hurricane Wilma

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Cited by 9 publications
(5 citation statements)
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“…so that its effects extend to the Gulf of Oman and the Persian Gulf. These factors increase the wind speed along with the summer Shamal in the Persian Gulf [49][50][51][52][53].…”
Section: Discussionmentioning
confidence: 99%
“…so that its effects extend to the Gulf of Oman and the Persian Gulf. These factors increase the wind speed along with the summer Shamal in the Persian Gulf [49][50][51][52][53].…”
Section: Discussionmentioning
confidence: 99%
“…The energy of MEP I and MEP II not only is distributed in the highfrequency oscillations of 0.1-0.3 Hz but also has peaks of energy at low frequencies (<0.04 Hz) (Figure 4), and LEP has no energy peaks at low frequencies. The low-frequency wave energy is small; however, it affects the transport of seafloor sand layers and has a significant impact on the shape of the nearshore beach (Mendoza et al, 2020).…”
Section: Bed Level Change At Different Sitesmentioning
confidence: 99%
“…Similar spectral patterns have been found in diverse phenomena that experiences abrupt changes of state due to any disturbance that are apparently stochastic, but the spectral analysis showed some periodicity. For example, spectral analysis has been used to study the variations in free surface during the passage of a hurricane, to locate hidden tunnels in archeological subsurface strata of pyramids, to analyze water levels and detect solar particles in the ground, and to understand the periodicity of these events [55][56][57][58]. The pattern of the wavelet spectral power in the prolonged period range that appears before a critical event can be used to model the battery failure function.…”
Section: A Model For Early Battery Failure Detectionmentioning
confidence: 99%