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

Author

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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
    Department of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Republic of Korea)

  • Eui Hoon Lee

    (School of Civil Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea)

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.

Suggested Citation

  • Jinwook Lee & Sejeong Oh & Jongjin Baik & Changhyun Jun & Jungho Seo & Eui Hoon Lee, 2024. "Grid-Based Precipitation Quantile Estimation Considering Homogeneity Using ERA5-Land Data for the Korean Peninsula," Sustainability, MDPI, vol. 16(21), pages 1-26, October.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:21:p:9295-:d:1506851
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    References listed on IDEAS

    as
    1. Turan G. Bali, 2007. "A Generalized Extreme Value Approach to Financial Risk Measurement," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1613-1649, October.
    2. Turan G. Bali, 2007. "A Generalized Extreme Value Approach to Financial Risk Measurement," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1613-1649, October.
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