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

Myeong-Ho Yeo (), Nguyen Van-Thanh-Van, Yong Sang Kim and Theodore A. Kpodonu
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Myeong-Ho Yeo: Water and Environmental Research Institute of the Western Pacific, University of Guam
Nguyen Van-Thanh-Van: McGill University
Yong Sang Kim: Water and Environmental Research Institute of the Western Pacific, University of Guam
Theodore A. Kpodonu: Auckland Council, Bledisloe House

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2022, vol. 36, issue 9, No 15, 3153-3179

Abstract: 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).

Keywords: Extreme rainfalls; Intensity–duration–frequency relation; Statistical downscaling; Generalized extreme value distribution; Confidence interval of IDF curves; Climate change impacts (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11269-022-03194-1

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