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Water 2017, 9(4), 240; doi:10.3390/w9040240

Estimation of Probable Maximum Precipitation in Korea using a Regional Climate Model

Environmental System Science (Major of Environmental Engineering), Pukyong National University, Busan 48513, Korea
Department of Environmental Engineering, Korea University, Sejong 30019, Korea
Department of Environmental Engineering, Pukyong National University, Busan 48513, Korea
Author to whom correspondence should be addressed.
Academic Editor: Athanasios Loukas
Received: 19 January 2017 / Revised: 5 March 2017 / Accepted: 24 March 2017 / Published: 30 March 2017
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Extreme precipitation events have been extensively applied to the design of social infra structures. Thus, a method to more scientifically estimate the extreme event is required. This paper suggests a method to estimate the extreme precipitation in Korea using a regional climate model. First, several historical extreme events are identified and the most extreme event of Typhoon Rusa (2002) is selected. Second, the selected event is reconstructed through the Weather Research and Forecasting (WRF) model, one of the Regional Climate Models (RCMs). Third, the reconstructed event is maximized by adjusting initial and boundary conditions. Finally, the Probable Maximum Precipitation (PMP) is obtained. The WRF could successfully simulate the observed precipitation in terms of spatial and temporal distribution (R2 = 0.81). The combination of the WRF Single-Moment (WSM 6-class graupel scheme (of microphysics), the Betts-Miller-Janjic scheme (of cumulus parameterization) and the Mellor-Yamada-Janjic Turbulent Kinetic Energy (TKE) scheme (of planetary boundary layer) was determined to be the best combination to reconstruct Typhoon Rusa. The estimated PMP (RCM_PMP) was compared with the existing PMP. The RCM_PMP was generally in good agreement with the PMP. The suggested methodology is expected to provide assessments of the existing PMP and to provide a new alternative for estimating PMP. View Full-Text
Keywords: Probable Maximum Precipitation; Regional Climate Models; Weather Research and Forecasting Model Probable Maximum Precipitation; Regional Climate Models; Weather Research and Forecasting Model

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Lee, J.; Choi, J.; Lee, O.; Yoon, J.; Kim, S. Estimation of Probable Maximum Precipitation in Korea using a Regional Climate Model. Water 2017, 9, 240.

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