IDEAS home Printed from https://ideas.repec.org/a/wly/envmet/v30y2019i4ne2532.html
   My bibliography  Save this article

Increases in the extreme rainfall events: Using the Weibull distribution

Author

Listed:
  • Sazcha Olivera
  • Christopher Heard

Abstract

The frequency of extreme weather events, such as severe floods, storms, hurricanes, and droughts, seems to have increased in recent years. The analysis of trends and other changes in the distribution of these phenomena uses the extreme value theory. This study proposes the use of the Weibull distribution for the evaluation of extreme events in precipitation. A correct assessment of probabilities of extreme precipitation events and their changes is important for stakeholders, particularly in agriculture, infrastructure, tourism, and insurance. This paper provides a simple approach in showing the trends in extreme precipitation in the western part of Mexico. The methodology has an additional virtue as it enables the calculation of probabilities of change in extreme events. With this, it is feasible to develop new methodologies for better understanding of climate change.

Suggested Citation

  • Sazcha Olivera & Christopher Heard, 2019. "Increases in the extreme rainfall events: Using the Weibull distribution," Environmetrics, John Wiley & Sons, Ltd., vol. 30(4), June.
  • Handle: RePEc:wly:envmet:v:30:y:2019:i:4:n:e2532
    DOI: 10.1002/env.2532
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/env.2532
    Download Restriction: no

    File URL: https://libkey.io/10.1002/env.2532?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Esponda-Bernal, Maria del Mar & Echeverri-Sanchez, Andrés Fernando & Aguirre-Gonzalez, Eduar Fernando & Andrade, Robert Santiago, 2024. "A biophysical suitability model to identify best areas for the cultivation of potential cash crops: The case of basil in Valle del Cauca," Agricultural Systems, Elsevier, vol. 216(C).

    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:wly:envmet:v:30:y:2019:i:4:n:e2532. 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: http://www.interscience.wiley.com/jpages/1180-4009/ .

    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.