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http://dx.doi.org/10.17663/JWR.2019.21.s-1.51

Assessment of Frequency Analysis using Daily Rainfall Data of HadGEM3-RA Climate Model  

Kim, Sunghun (chool of Civil and Environmental Engineering, Yonsei University)
Kim, Hanbeen (chool of Civil and Environmental Engineering, Yonsei University)
Jung, Younghun (chool of Civil and Environmental Engineering, Yonsei University)
Heo, Jun-Haeng (chool of Civil and Environmental Engineering, Yonsei University)
Publication Information
Journal of Wetlands Research / v.21, no.spc, 2019 , pp. 51-60 More about this Journal
Abstract
In this study, we performed At-site Frequency Analysis(AFA) and Regional Frequency Analysis(RFA) using the observed and climate change scenario data, and the relative root mean squared error(RMMSE) was compared and analyzed for both approaches through Monte Carlo simulation. To evaluate the rainfall quantile, the daily rainfall data were extracted for 615 points in Korea from HadGEM3-RA(12.5km) climate model data, one of the RCM(Regional Climate Model) data provided by the Korea Meteorological Administration(KMA). Quantile mapping(QM) and inverse distance squared methods(IDSM) were applied for bias correction and spatial disaggregation. As a result, it is shown that the RFA estimates more accurate rainfall quantile than AFA, and it is expected that the RFA could be reasonable when estimating the rainfall quantile based on climate change scenarios.
Keywords
Climate Change; Frequency Analysis; HadGEM3-RA; Monte Carlo simulation; Rainfall Quantile;
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Times Cited By KSCI : 12  (Citation Analysis)
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