Three-Parameter Characterization of Shallow-Water Directional Wind Wave Spectra

Abstract

A 5-year, 6,759-case database of high resolution, shallow-water, frequency-direction spectra is examined by classifying spectra in discrete ranges of three parameters: characteristic wave height, spectral peak frequency, and spectral peak direction. Counting the number of cases in each classification reveals the distribution of the spectral population in the three-parameter domain. Averaging spectra within parametric classes defines characteristic spectra that can be used to describe nearshore wave conditions more completely when only three parameters are known or estimated. Though the results are specifically unique to the North Carolina outer banks experiment site (the Field Research Facility of the U.S. Army Engineer Waterways Experiment Station Coastal Engineering Research Center), they are illustrative of the variability of wave energy distributions possible in nature. Computation of longshore energy fluxes and radiation stress tensor components using characteristic spectra and the three-parameter guidance of the Shore Protection Manual reveals significant differences, and suggests that the ability to measure directional distributions of wave energy with high resolution is critical to the further improvement of modeling and predictive ability. Energy flux, Wave climate, Frequency-direction spectra, Wave database, Radiation stress, Wind waves.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1994
Accession Number
ADA278532

Entities

People

  • Charles E. Long

Organizations

  • Coastal Engineering Research Center

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Army Corps Of Engineers
  • Civil Engineering
  • Classification
  • Coastal Engineering
  • Computations
  • Databases
  • Energy
  • Engineering
  • Engineers
  • Frequency
  • Frequency Bands
  • High Resolution
  • Research Facilities
  • Shallow Water
  • Three Dimensional
  • Waterways
  • Wave Power

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Coastal Oceanography
  • Psychometric Testing or Psychological Assessment.