Numerical study of pressure forcing of wind on dynamically evolving water waves

Yi Liu, Di Yang, Xin Guo, Lian Shen

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

We simulate the dynamic evolution of nonlinear water waves coupled with wind turbulence. We first investigate simple wave trains to obtain pressure distribution, based on which parameters for wave growth are quantified and their dependence on wave age and wave steepness is shown. We then investigate broadband waves to obtain physical insights to wind forcing for phase-resolved wavefield simulation. It is found that for long wave components, the wave growth parameter can be approximated by the value of the corresponding monochromatic waves; for short waves, stochastic modeling is suggested.

Original languageEnglish (US)
Article number049004PHF
Pages (from-to)1-4
Number of pages4
JournalPhysics of Fluids
Volume22
Issue number4
DOIs
StatePublished - Apr 2010

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