Wave-by-wave forecasts in directional seas using nonlinear dispersion corrections

Eytan Meisner; Mariano Galvagno; David Andrade; Dan Liberzon; Raphael Stuhlmeier

doi:10.1063/5.0149980

Wave-by-wave forecasts in directional seas using nonlinear dispersion corrections

Eytan Meisner, Mariano Galvagno, David Andrade, Dan Liberzon, Raphael Stuhlmeier

Producción científica: Contribución a una revista › Artículo de Investigación › revisión exhaustiva

4 Citas (Scopus)

Resumen

We develop a new methodology for the deterministic forecasting of directional ocean surface waves based on nonlinear frequency corrections. These frequency corrections can be pre-computed based on measured energy density spectra and, therefore, come at no additional computational cost compared to linear theory. The nonlinear forecasting methodology is tested on highly nonlinear synthetically generated seas with a variety of values of average steepness and directional spreading and is shown to consistently outperform a linear forecast.

Idioma original	Inglés estadounidense
Número de artículo	062104
Publicación	Physics of Fluids
Volumen	35
N.º	6
DOI	https://doi.org/10.1063/5.0149980
Estado	Publicada - jun. 1 2023

Áreas temáticas de ASJC Scopus

Mecánica computacional
Física de la materia condensada
Mecánica de materiales
Ingeniería mecánica
Procesos de transferencia y flujo de líquidos

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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title = "Wave-by-wave forecasts in directional seas using nonlinear dispersion corrections",

abstract = "We develop a new methodology for the deterministic forecasting of directional ocean surface waves based on nonlinear frequency corrections. These frequency corrections can be pre-computed based on measured energy density spectra and, therefore, come at no additional computational cost compared to linear theory. The nonlinear forecasting methodology is tested on highly nonlinear synthetically generated seas with a variety of values of average steepness and directional spreading and is shown to consistently outperform a linear forecast.",

author = "Eytan Meisner and Mariano Galvagno and David Andrade and Dan Liberzon and Raphael Stuhlmeier",

note = "Funding Information: The authors would like to thank the anonymous reviewers of this manuscript for numerous helpful suggestions. R.S. and D.A. were funded by EPSRC Grant No. EP/V012770/1. R.S. gratefully acknowledges funding from an IMA QJMAM Fund Grant supporting research visits by M.G. to the University of Plymouth, and a UUKi UK-Israel Mobility Award supporting collaboration with Technion's Faculty of Civil and Environmental Engineering. E.M. gratefully acknowledges the financial support by the scholarships from the Nancy and Stephen Grand Technion Energy Program and the funding by SolarEdge Technologies Ltd., as part of the Guy Sela Memorial Project at the Technion. Publisher Copyright: {\textcopyright} 2023 Author(s).",

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doi = "10.1063/5.0149980",

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T1 - Wave-by-wave forecasts in directional seas using nonlinear dispersion corrections

AU - Meisner, Eytan

AU - Galvagno, Mariano

AU - Andrade, David

AU - Liberzon, Dan

AU - Stuhlmeier, Raphael

N1 - Funding Information: The authors would like to thank the anonymous reviewers of this manuscript for numerous helpful suggestions. R.S. and D.A. were funded by EPSRC Grant No. EP/V012770/1. R.S. gratefully acknowledges funding from an IMA QJMAM Fund Grant supporting research visits by M.G. to the University of Plymouth, and a UUKi UK-Israel Mobility Award supporting collaboration with Technion's Faculty of Civil and Environmental Engineering. E.M. gratefully acknowledges the financial support by the scholarships from the Nancy and Stephen Grand Technion Energy Program and the funding by SolarEdge Technologies Ltd., as part of the Guy Sela Memorial Project at the Technion. Publisher Copyright: © 2023 Author(s).

PY - 2023/6/1

Y1 - 2023/6/1

N2 - We develop a new methodology for the deterministic forecasting of directional ocean surface waves based on nonlinear frequency corrections. These frequency corrections can be pre-computed based on measured energy density spectra and, therefore, come at no additional computational cost compared to linear theory. The nonlinear forecasting methodology is tested on highly nonlinear synthetically generated seas with a variety of values of average steepness and directional spreading and is shown to consistently outperform a linear forecast.

AB - We develop a new methodology for the deterministic forecasting of directional ocean surface waves based on nonlinear frequency corrections. These frequency corrections can be pre-computed based on measured energy density spectra and, therefore, come at no additional computational cost compared to linear theory. The nonlinear forecasting methodology is tested on highly nonlinear synthetically generated seas with a variety of values of average steepness and directional spreading and is shown to consistently outperform a linear forecast.

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JF - Physics of Fluids

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Wave-by-wave forecasts in directional seas using nonlinear dispersion corrections

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Áreas temáticas de ASJC Scopus

ODS de las Naciones Unidas

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