A statistical method for correlating paired wave spectra

Clarence O. Collins, C. Linwood Vincent, Hans C Graber

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

Ocean wave spectra are complex. Because of this complexity, no widely accepted method has been developed for the comparison between two sets of paired wave spectra. A method for intercomparing wave spectra is developed based on an example paradigm of the comparison of model spectra to observed spectra. Canonical correlation analysis (CCA) is used to investigate the correlation structure of the matrix of spectral correlations. The set of N ranked canonical correlations developed through CCA (here termed the r-sequence) is shown to be an effective method for understanding the degree of correlation between sets of paired spectral observation. A standard method for intercomparing sets of wave spectra based on CCA is then described. The method is elucidated through analyses of synthetic and real spectra that span a range of correlation from random to almost equal.

Original languageEnglish (US)
Pages (from-to)2130-2146
Number of pages17
JournalJournal of Atmospheric and Oceanic Technology
Volume32
Issue number11
DOIs
StatePublished - Nov 1 2015

Keywords

  • Atm/Ocean Structure/ Phenomena
  • Buoy observations
  • Data processing
  • Mathematical and statistical techniques
  • Observational techniques and algorithms
  • Principal components analysis
  • Quality assurance/control
  • Sea state
  • Statistical techniques

ASJC Scopus subject areas

  • Atmospheric Science
  • Ocean Engineering

Fingerprint Dive into the research topics of 'A statistical method for correlating paired wave spectra'. Together they form a unique fingerprint.

  • Cite this