Duration of Extreme Wave Conditions.

Abstract

Statistical trends of the duration of extreme wave conditions, as characterized by hindcast wave information, are investigated at five sites along the coastline of the United States (three on the Atlantic coast and two on the Pacific coast). A review of pertinent statistical concepts and water wave characterization conventions and terminology is followed by a description of the Wave Information Studies Program. The database of hindcast wave information in shallow water created by this program is applied to develop a method of identification of extreme events and definition of their duration, based on exceedance of a threshold or zero moment wave heights. The number of events identified is found to be proportional to the percent exceedance of the specified threshold, regardless of geographical location. The External Type I distribution is found to be superior to the Weibull distribution as a model for both distribution of durations and peak zero moment wave heights of extreme events identified. A regression analysis of duration with various parameters representing peak wave conditions reveals only a weak linear relation with peak zero moment wave height and little evidence of a linear relation with any other parameter investigated. The assumption of independence of duration from peak wave conditions is proposed as an expedient method for estimating durations above a specified threshold, given a peak wave condition.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1987
Accession Number
ADA184055

Entities

People

  • Orson P. Smith

Organizations

  • Coastal Engineering Research Center

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Breakwaters
  • Civil Engineering
  • Coastal Engineering
  • Computer Programs
  • Databases
  • Engineers
  • Information Science
  • North Carolina
  • North Sea
  • Ocean Waves
  • Oceans
  • Probability Density Functions
  • Random Variables
  • Regression Analysis
  • United States
  • Wave Propagation
  • Waveforms

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Regression Analysis.
  • Statistical inference.