Abstract
The occurrence of extreme rainfall events and their impacts on hydrologic systems and society are critical considerations in the design and management of a large number of water resources projects. As precipitation records are often limited or unavailable at many sites, it is essential to develop better methods for regional estimation of extreme rainfall at these partially-gauged or ungauged sites. In this study, an innovative method for regional rainfall frequency analysis for ungauged sites is presented. The new method (hereafter, this is called the RRFA-S) is based on corrected annual maximum series obtained from a satellite precipitation product (e.g., PERSIANN-CDR). The probability matching method (PMM) is used here for bias correction to match the CDF of satellite-based precipitation data with the gauged data. The RRFA-S method was assessed through a comparative study with the traditional index flood method using the available annual maximum series of daily rainfall in two different regions in USA (11 sites in Colorado and 18 sites in California). The leave-one-out cross-validation technique was used to represent the ungauged site condition. Results of this numerical application have found that the quantile estimates obtained from the new approach are more accurate and more robust than those given by the traditional index flood method.
Highlights
IntroductionAn accurate estimation of extreme rainfall (magnitude, duration, and frequency) is fundamental for the planning and design of various hydraulic structures
An accurate estimation of extreme rainfall is fundamental for the planning and design of various hydraulic structures
Using historical data from both gauged sites and the satellite precipitation product PERSIANN-CDR, at-site extreme rainfall quantiles were estimated by applying the generalized extreme value (GEV) distribution along with the L-moments
Summary
An accurate estimation of extreme rainfall (magnitude, duration, and frequency) is fundamental for the planning and design of various hydraulic structures. Many studies have focused on the development of methods for improving the accuracy of extreme rainfall estimation. In this regard, rainfall frequency analysis (RFA) is commonly used to estimate the rainfall rate/volume for a given return period at a given site of interest. As precipitation records are often unavailable at many sites, regional rainfall frequency analysis (RRFA) has become an essential tool for extreme rainfall estimation for these ungauged sites. RRFA is often used to improve the accuracy of at-site extreme rainfall estimation at gauged sites. The study concluded that the city’s storm drainage design criteria were
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