Wave Groups in Shallow Water

Abstract

The immediate scientific objective of this project was to understand and predict wave groups throughout the shoaling region seawards of the zone of wave breaking. During FY90-91 wave group prediction models based on linear theory were developed and/or implemented. Observations of sea surface elevation were also made in 19 m water depth near the North Carolina coast during the SAMSON and Delilah field experiments (Aug. 1990 - May 1991). Wave group statistics from these data, as well as from data previously obtained were compared to model predictions. The comparisons indicate that, for a wide range of ocean conditions, seaward of the shoaling region wave group statistics are not inconsistent with linear theory. Linear theory does not accurately predict observations of group statistics in shallow depths (eg, less than 10 m) where nonlinear interactions become important to the evolution of the wave field. During FY91 a technique to numerically simulate a wave field with specified power spectrum and bispectrum was developed, thus allowing wave fields with quadratic nonlinearities to be simulated. Comparisons between observed and simulated group statistics are being made. One of the primary results of this study is that wave group statistics observed in the ocean at 3 depths (all greater than 10m) for a very large range of wave conditions are not inconsistent with linear theory.

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Document Details

Document Type
Technical Report
Publication Date
Nov 10, 1991
Accession Number
ADA243681

Entities

Organizations

  • Washington State University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Applied Mechanics
  • Coastal Engineering
  • Computer Science
  • Depth
  • Electrical Engineering
  • Engineering
  • Gravity Waves
  • Network Protocols
  • North Carolina
  • Observation
  • Power Spectra
  • Shallow Depth
  • Shallow Water
  • Signal Processing
  • Statistics
  • Students
  • Waves

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Coastal Oceanography
  • Computational Modeling and Simulation