• DocumentCode
    2855959
  • Title

    A Numerical Study of the Modulation of Short Sea Waves by Longer Waves

  • Author

    Pan, Guangdong ; Johnson, Joel T.

  • Author_Institution
    Dept. of Electr. & Comput. Eng. ElectroSci. Lab., Ohio state Univ., Columbus, OH
  • fYear
    2006
  • fDate
    July 31 2006-Aug. 4 2006
  • Firstpage
    1304
  • Lastpage
    1307
  • Abstract
    The spatial spectrum of short sea waves is locally modulated by the presence of longer waves or currents; in the remote sensing literature, this process is described by the "hydrodynamic modulation transfer function" (HMTF). Existing models for the HMTF utilized in remote sensing are based on approximations derived from consideration of conservation of wave action. However the accuracy of these approximations has been quantified only through comparison with experimental data; in such comparisons, numerous empirical models for terms such as wind forcing and breaking wave dissipation are required that make direct evaluation of the hydrodynamic effects difficult. A method for providing direct insight into the hydrodynamic modulation of short sea waves by longer waves is described in this paper, through use of numerical non-linear hydrodynamic codes for sea surface evolution. A Monte Carlo simulation process based on a stochastic spectrum of short waves propagating over a single deterministic long wave is described, including the data analysis techniques developed to extract a numerical HMTF from the simulated surfaces. HMTF values obtained from the simulations are compared to those from a first order wave action solution, and found to be in reasonable agreement.
  • Keywords
    Monte Carlo methods; geophysical fluid dynamics; ocean waves; wind; HMTF; Monte Carlo simulation process; breaking wave dissipation; data analysis techniques; hydrodynamic modulation transfer function; longer sea waves; numerical nonlinear hydrodynamic codes; ocean currents; remote sensing; sea surface evolution; short sea waves modulation; stochastic spectrum; wind forcing; Analytical models; Data analysis; Data mining; Hydrodynamics; Modulation coding; Remote sensing; Sea surface; Stochastic processes; Surface waves; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-9510-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2006.337
  • Filename
    4241484