IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v49y2000i4p499-508.html
   My bibliography  Save this article

A model for extreme wind gusts

Author

Listed:
  • David Walshaw
  • Clive W. Anderson

Abstract

Estimates of the largest wind gust that will occur at a given location over a specified period are required by civil engineers. Estimation is usually based on models which are derived from the limiting distributions of maxima of stationary time series and which are fitted to data on extreme gusts. In this paper we develop a model for maximum gusts which also incorporates data on hourly mean speeds through a distributional relationship between maxima and means. This joint model is closely linked to the physical processes which generate the most extreme values and thus provides a mechanism by which data on means can augment those on gusts. It is argued that this increases the credibility of extrapolation in estimates of long period return gusts. The model is shown to provide a good fit to data obtained at a location in northern England and is compared with a more traditional modelling approach, which also performs well for this site.

Suggested Citation

  • David Walshaw & Clive W. Anderson, 2000. "A model for extreme wind gusts," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 49(4), pages 499-508.
    • Handle: RePEc:bla:jorssc:v:49:y:2000:i:4:p:499-508
    DOI: 10.1111/1467-9876.00208
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1467-9876.00208
    Download Restriction: no
    File URL: https://libkey.io/10.1111/1467-9876.00208?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jorssc:v:49:y:2000:i:4:p:499-508. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.