Numerical Verification of the Weak Turbulent Model for Swell Evolution

Abstract

The purpose of this article is numerical verification of the theory of weak turbulence. We performed numerical simulation of an ensemble of nonlinearly interacting free gravity waves (swell) by two different methods: solution of primordial dynamical equations describing potential flow of the ideal fluid with a free surface and, solution of the kinetic Hasselmann equation, describing the wave ensemble in the framework of the theory of weak turbulence. In both cases we observed effects predicted by this theory: frequency downshift, angular spreading and formation of Zakharov-Filonenko spectrum Iomega ~ omega -4. To achieve quantitative coincidence of the results obtained by different methods, one has to supply the Hasselmann kinetic equation by an empirical dissipation term Sdiss modeling the coherent effects of white-capping. Using of the standard dissipation terms from operational wave predicting model (WAM) leads to significant improvement on short times, but not resolve the discrepancy completely, leaving the question about optimal choice of Sdiss open. In a long run WAM dissipative terms overestimate dissipation essentially.

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Document Details

Document Type
Technical Report
Publication Date
Jul 13, 2007
Accession Number
ADA522809

Entities

People

  • A. O. Korotkevich
  • A. Pushkarev
  • D. Resio
  • V. E. Zakharov

Organizations

  • Landau Institute for Theoretical Physics

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Boundary Layer
  • Distribution Functions
  • Equations
  • Frequency
  • Gaussian Distributions
  • Gravity Waves
  • Integrals
  • Personal Information Managers
  • Physics
  • Physics Laboratories
  • Probability
  • Probability Distributions
  • Simulations
  • Statistics
  • Surface Roughness
  • Verification
  • Wave Power

Fields of Study

  • Physics

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Computational Modeling and Simulation
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)