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A simplified consistent nonlinear mild-slope equation model for random waves propagation and dissipation
https://orcid.org/0000-0003-1442-4632
Abstract The model for ocean surface wave propagation can be formulated either in the form of deterministic models or stochastic models. The stochastic models appear to be particularly attractive in the global domain due to their computational efficiency. However, in the nearshore region, the phase becomes highly correlated, and the phase information therefore becomes critical. Therefore, a simplified consistent nonlinear mild-slope equation model has been developed in order to take advantage of the deterministic model for handling phase information, as well as the stochastic model for numerical simplicity. We demonstrate the advanced performance of the present model for random waves by comparing it with laboratory data and previous models.
Highlights A simplified consistent nonlinear mild-slope equation model has been developed for random wave propagation by employing a closure scheme. The new model demonstrated improved performance in simulating both narrow-banded waves and random waves compared to previous models. The inclusion of additional quasi-cubic terms of the new model provides better descriptions at the spectral peaks and over the high-frequency range.
A simplified consistent nonlinear mild-slope equation model for random waves propagation and dissipation
https://orcid.org/0000-0003-1442-4632
Abstract The model for ocean surface wave propagation can be formulated either in the form of deterministic models or stochastic models. The stochastic models appear to be particularly attractive in the global domain due to their computational efficiency. However, in the nearshore region, the phase becomes highly correlated, and the phase information therefore becomes critical. Therefore, a simplified consistent nonlinear mild-slope equation model has been developed in order to take advantage of the deterministic model for handling phase information, as well as the stochastic model for numerical simplicity. We demonstrate the advanced performance of the present model for random waves by comparing it with laboratory data and previous models.
Highlights A simplified consistent nonlinear mild-slope equation model has been developed for random wave propagation by employing a closure scheme. The new model demonstrated improved performance in simulating both narrow-banded waves and random waves compared to previous models. The inclusion of additional quasi-cubic terms of the new model provides better descriptions at the spectral peaks and over the high-frequency range.
A simplified consistent nonlinear mild-slope equation model for random waves propagation and dissipation
https://orcid.org/0000-0003-1442-4632
Abstract The model for ocean surface wave propagation can be formulated either in the form of deterministic models or stochastic models. The stochastic models appear to be particularly attractive in the global domain due to their computational efficiency. However, in the nearshore region, the phase becomes highly correlated, and the phase information therefore becomes critical. Therefore, a simplified consistent nonlinear mild-slope equation model has been developed in order to take advantage of the deterministic model for handling phase information, as well as the stochastic model for numerical simplicity. We demonstrate the advanced performance of the present model for random waves by comparing it with laboratory data and previous models.
Highlights A simplified consistent nonlinear mild-slope equation model has been developed for random wave propagation by employing a closure scheme. The new model demonstrated improved performance in simulating both narrow-banded waves and random waves compared to previous models. The inclusion of additional quasi-cubic terms of the new model provides better descriptions at the spectral peaks and over the high-frequency range.
A simplified consistent nonlinear mild-slope equation model for random waves propagation and dissipation
Kim, In-Chul (author) / Kaihatu, James M. (author)
Coastal Engineering ; 189
2023-12-17
Article (Journal)
Electronic Resource
English
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