Accession Number:
ADA300275
Title:
Nonlinear Fourier Structure of Complex Surface Wave Trains: A Search for Integrable and Chaotic Effects in the Dynamics of Ocean Waves.
Descriptive Note:
Final rept.,
Corporate Author:
TURIN UNIV (ITALY) ISTITUTO DI FISICA
Personal Author(s):
Report Date:
1994-01-01
Pagination or Media Count:
26.0
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.
Descriptors:
- *MATHEMATICAL MODELS
- *OCEAN WAVES
- ALGORITHMS
- FOURIER TRANSFORMATION
- STOCHASTIC PROCESSES
- SURFACE WAVES
- OCEAN SURFACE
- CHAOS
- TIME SERIES ANALYSIS
- POWER SPECTRA
- OCEANOGRAPHIC DATA
- SHALLOW WATER
- MATHEMATICAL FILTERS
- NONLINEAR SYSTEMS
- ITALY
- NONLINEAR ANALYSIS
- INVERSE SCATTERING
- NUMERICAL METHODS AND PROCEDURES
- RESEARCH MANAGEMENT
- OCEAN MODELS
- DEEP WATER
- SCHRODINGER EQUATION
- FOURIER ANALYSIS
- INTERNAL WAVES
- WAVE EQUATIONS
- LYAPUNOV FUNCTIONS
- ADRIATIC SEA
Subject Categories:
- Physical and Dynamic Oceanography
- Operations Research