An eigenfunction parameterization of a time sequence of wave spectra

C. L. Vincent, D. T. Resio

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

A variant of principal component analysis termed eigenvector analysis is shown to provide an effective parameterization of a time sequence of one-dimensional (frequency) spectra of wind-generated water waves. The analysis indicates that as few as five parameters are required to reproduce 85 percent of the variation in a climatological record of wave spectra. Reconstructed spectra reproduce spectral peaks and periods for both uni- and multimodal spectra well, particularly during high energy conditions. The potential of the functions as a universal set of functions for representation of spectra is pointed out as are applications to statistical estimation of a spectral wave climate.

Original languageEnglish (US)
Pages (from-to)185-205
Number of pages21
JournalCoastal Engineering
Volume1
Issue numberC
DOIs
StatePublished - 1977
Externally publishedYes

ASJC Scopus subject areas

  • Environmental Engineering
  • Ocean Engineering

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