View in EDS

A generalised equivalent storm model for long-term statistics of ocean waves.

Saved in:
Bibliographic Details
Title: A generalised equivalent storm model for long-term statistics of ocean waves.
Authors: Mackay, Ed1, Johanning, Lars1
Source: Coastal Engineering. Oct2018, Vol. 140, p411-428. 18p.
Subjects: Wave mechanics, Altitudes, Crests (Hydrology), Statistics, Storms
Abstract: Abstract To calculate the return periods of individual wave or crest heights, the long-term distribution of sea states must be combined with the short-term distribution of individual wave or crest heights conditional on sea state. This is normally achieved using an equivalent storm model to parameterise the distribution of the maximum wave or crest height in a storm. A new equivalent storm model is introduced that generalises the approach of Tromans and Vanderschuren (1995). The generalised equivalent storm (GES) method is significantly simpler than equivalent storm methods that model the temporal evolution of the significant wave height in a storm. The GES method is applied to long time series of wave buoy measurements for deep and shallow water sites and demonstrated to be more accurate than existing methods at representing the statistical characteristics of measured storms. Return periods of crest heights from the GES method are shown to be more robust to uncertainties in the fitted models of the equivalent storm parameters than estimates from temporal evolution methods such as the equivalent triangular storm and equivalent power storm model. Highlights • New equivalent storm model defined in terms of generalised extreme value (GEV) distribution. • GEV model simplifies existing methods that model temporal evolution of H s in a storm. • GEV model applied to deep and shallow water datasets and shown to be more accurate and more robust than existing methods. [ABSTRACT FROM AUTHOR]
Copyright of Coastal Engineering is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 131689649
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A generalised equivalent storm model for long-term statistics of ocean waves.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Mackay%2C+Ed%22">Mackay, Ed</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Johanning%2C+Lars%22">Johanning, Lars</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Coastal+Engineering%22">Coastal Engineering</searchLink>. Oct2018, Vol. 140, p411-428. 18p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Wave+mechanics%22">Wave mechanics</searchLink><br /><searchLink fieldCode="DE" term="%22Altitudes%22">Altitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Crests+%28Hydrology%29%22">Crests (Hydrology)</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Storms%22">Storms</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Abstract To calculate the return periods of individual wave or crest heights, the long-term distribution of sea states must be combined with the short-term distribution of individual wave or crest heights conditional on sea state. This is normally achieved using an equivalent storm model to parameterise the distribution of the maximum wave or crest height in a storm. A new equivalent storm model is introduced that generalises the approach of Tromans and Vanderschuren (1995). The generalised equivalent storm (GES) method is significantly simpler than equivalent storm methods that model the temporal evolution of the significant wave height in a storm. The GES method is applied to long time series of wave buoy measurements for deep and shallow water sites and demonstrated to be more accurate than existing methods at representing the statistical characteristics of measured storms. Return periods of crest heights from the GES method are shown to be more robust to uncertainties in the fitted models of the equivalent storm parameters than estimates from temporal evolution methods such as the equivalent triangular storm and equivalent power storm model. Highlights • New equivalent storm model defined in terms of generalised extreme value (GEV) distribution. • GEV model simplifies existing methods that model temporal evolution of H s in a storm. • GEV model applied to deep and shallow water datasets and shown to be more accurate and more robust than existing methods. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Coastal Engineering is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=131689649
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.coastaleng.2018.06.001
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 411
    Subjects:
      – SubjectFull: Wave mechanics
        Type: general
      – SubjectFull: Altitudes
        Type: general
      – SubjectFull: Crests (Hydrology)
        Type: general
      – SubjectFull: Statistics
        Type: general
      – SubjectFull: Storms
        Type: general
    Titles:
      – TitleFull: A generalised equivalent storm model for long-term statistics of ocean waves.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Mackay, Ed
      – PersonEntity:
          Name:
            NameFull: Johanning, Lars
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: Oct2018
              Type: published
              Y: 2018
          Identifiers:
            – Type: issn-print
              Value: 03783839
          Numbering:
            – Type: volume
              Value: 140
          Titles:
            – TitleFull: Coastal Engineering
              Type: main
ResultId 1