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

urosario

Research output: Contribution to Journal › Research Article › peer-review

6 Scopus citations

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.

Original language	English (US)
Article number	062104
Journal	Physics of Fluids
Volume	35
Issue number	6
DOIs	https://doi.org/10.1063/5.0149980
State	Published - Jun 1 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Computational Mechanics
Condensed Matter Physics
Mechanics of Materials
Mechanical Engineering
Fluid Flow and Transfer Processes

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10.1063/5.0149980

Cite this

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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",

language = "English (US)",

volume = "35",

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TY - JOUR

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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UR - https://www.scopus.com/pages/publications/85161032928#tab=citedBy

U2 - 10.1063/5.0149980

DO - 10.1063/5.0149980

M3 - Research Article

AN - SCOPUS:85161032928

SN - 1070-6631

VL - 35

JO - Physics of Fluids

JF - Physics of Fluids

IS - 6

M1 - 062104

ER -

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

Abstract

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