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

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

Research output: Contribution to journalArticlepeer-review

3 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 languageEnglish (US)
Article number062104
JournalPhysics of Fluids
Volume35
Issue number6
DOIs
StatePublished - Jun 1 2023

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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