Grid-Based Precipitation Quantile Estimation Considering Homogeneity Using ERA5-Land Data for the Korean Peninsula

Jinwook Lee, Sejeong Oh (), Jongjin Baik, Changhyun Jun, Jungho Seo and Eui Hoon Lee ()
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Jinwook Lee: Department of Civil, Environmental and Construction Engineering, University of Hawaii at Manoa, Honolulu, HI 96822, USA
Sejeong Oh: School of Civil Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea
Jongjin Baik: Department of Civil and Environmental Engineering, Chung-Ang University, Seoul 06974, Republic of Korea
Changhyun Jun: School of Civil, Environmental and Architectural Engineering, College of Engineering, Korea University, Seoul 02841, Republic of Korea
Jungho Seo: Department of Civil, Environmental and Construction Engineering, University of Hawaii at Manoa, Honolulu, HI 96822, USA
Eui Hoon Lee: School of Civil Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea

Sustainability, 2024, vol. 16, issue 21, 1-26

Abstract: In this study, a grid-based precipitation quantile was estimated using long-term reanalysis precipitation data, considering the homogeneity of the annual maximum series (AMS) for the Korean Peninsula. For regions where significant changes in homogeneity were observed, the precipitation quantile was estimated using only the AMS from after the change point, and these results were compared with those from the original AMS. The examination of homogeneity revealed a significant increasing trend in homogeneity variability in the southeastern region of Korea. This change was particularly pronounced in the location parameter of the Gumbel distribution, resulting in an improved model fit. The change in precipitation quantile was most noticeable for a 2-year return period with a 36 h duration, with an average increase of approximately 11.5%. The results obtained from this study are anticipated to offer crucial foundational data for the design of hydraulic structures in regions with insufficient long-term ground observation data.

Keywords: remote sensing; homogeneity; Pettitt test; annual maximum series; precipitation quantile; Korea (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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