IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v36y2022i9d10.1007_s11269-022-03194-1.html
   My bibliography  Save this article

An Integrated Extreme Rainfall Modeling Tool (SDExtreme) for Climate Change Impacts and Adaptation

Author

Listed:
  • Myeong-Ho Yeo

    (Water and Environmental Research Institute of the Western Pacific, University of Guam)

  • Van-Thanh-Van Nguyen

    (McGill University)

  • Yong Sang Kim

    (Water and Environmental Research Institute of the Western Pacific, University of Guam)

  • Theodore A. Kpodonu

    (Auckland Council, Bledisloe House)

Abstract

The estimation of the Intensity–Duration–Frequency (IDF) relation is often necessary for the planning and design of various hydraulic structures and design storms. It has been an increasingly greater challenge due to climate change conditions. This paper therefore proposes an integrated extreme rainfall modeling software package (SDExtreme) for constructing the IDF relations at a local site in the context of climate change. The proposed tool is based on a temporal downscaling method to describe the relationships between daily and sub-daily extreme precipitation using the scale-invariance General Extreme Value (GEV) distribution. In addition, SDExtreme provides a modified bootstrap technique to determine confidence intervals (CIs) of the estimated IDF curves for current and the future climate conditions. The feasibility and accuracy of SDExtreme were assessed using rainfall data available from the selected rain gauge stations in Quebec and Ontario provinces (Canada) and climate simulations under three different climate change scenarios provided by the Canadian Earth System Model (CanESM2) and the Canadian Regional Climate Model (CanRCM4).

Suggested Citation

  • Myeong-Ho Yeo & Van-Thanh-Van Nguyen & Yong Sang Kim & Theodore A. Kpodonu, 2022. "An Integrated Extreme Rainfall Modeling Tool (SDExtreme) for Climate Change Impacts and Adaptation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(9), pages 3153-3179, July.
  • Handle: RePEc:spr:waterr:v:36:y:2022:i:9:d:10.1007_s11269-022-03194-1
    DOI: 10.1007/s11269-022-03194-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-022-03194-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11269-022-03194-1?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. T.A. Buishand, 1989. "Statistics of extremes in climatology," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 43(1), pages 1-30, March.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Fahad Alzahrani & Ousmane Seidou & Abdullah Alodah, 2022. "Assessment and Improvement of IDF Generation Algorithms Used in the IDF_CC Tool," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(12), pages 4591-4606, September.
    2. Ioannis M. Kourtis & Ioannis Nalbantis & George Tsakiris & Basil Ε. Psiloglou & Vassilios A. Tsihrintzis, 2023. "Updating IDF Curves Under Climate Change: Impact on Rainfall-Induced Runoff in Urban Basins," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(6), pages 2403-2428, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dutfoy Anne & Parey Sylvie & Roche Nicolas, 2014. "Multivariate Extreme Value Theory - A Tutorial with Applications to Hydrology and Meteorology," Dependence Modeling, De Gruyter, vol. 2(1), pages 1-19, June.
    2. Muhammad Uzair Qamar & Muhammad Azmat & Muhammad Adnan Shahid & Daniele Ganora & Shakil Ahmad & Muhammad Jehanzeb Masud Cheema & Muhammad Abrar Faiz & Abid Sarwar & Muhammad Shafeeque & Muhammad Imran, 2017. "Rainfall Extremes: a Novel Modeling Approach for Regionalization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(6), pages 1975-1994, April.
    3. van Noortwijk, J.M. & van der Weide, J.A.M. & Kallen, M.J. & Pandey, M.D., 2007. "Gamma processes and peaks-over-threshold distributions for time-dependent reliability," Reliability Engineering and System Safety, Elsevier, vol. 92(12), pages 1651-1658.

    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:spr:waterr:v:36:y:2022:i:9:d:10.1007_s11269-022-03194-1. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.