Nonlinear Fourier Structure of Complex Surface Wave Trains: A Search for Integrable and Chaotic Effects in the Dynamics of Ocean Waves.

Abstract

The main focus of the research reported on here is the development of new nonlinear Fourier spectral analysis methods, based upon the inverse scattering than form (IST), for analyzing measured time series of laboratory and oceanic wave trains. A major emphasis has been the use of the technique for the analysis of substantial quantities of wave data in order to better understand the nonlinear effects which are important in oceanic surface and internal wave fields. A secondary objective of the research has been the analysis of time series of measured wave trains for the effects of chaos and to contrast these results with nonlinear stochastic models. New data analysis procedures for the study of chaotic and stochastic dynamics in ocean waves have also been developed.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1994
Accession Number
ADA300275

Entities

People

  • A. R. Osborne

Organizations

  • University of Turin

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Adriatic Sea
  • Data Analysis
  • Doppler Effect
  • Electrical Solitons
  • Equations
  • Fourier Analysis
  • Frequency
  • Internal Waves
  • Inverse Scattering
  • Ocean Waves
  • Scattering
  • Shallow Water
  • Simulations
  • Sine Waves
  • Surface Waves
  • Water Waves
  • Wave Propagation

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Theoretical Analysis.
  • Wave Propagation and Nonlinear Chaotic Dynamics.