Next Article in Journal
Modeling of Regionalized Emissions (MoRE) into Water Bodies: An Open-Source River Basin Management System
Previous Article in Journal
Prediction of Groundwater Dynamics for Sustainable Water Resource Management in Bogra District, Northwest Bangladesh
Article Menu
Issue 4 (April) cover image

Export Article

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

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

1
Environmental System Science (Major of Environmental Engineering), Pukyong National University, Busan 48513, Korea
2
Department of Environmental Engineering, Korea University, Sejong 30019, Korea
3
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
View Full-Text   |   Download PDF [4486 KB, uploaded 30 March 2017]   |  

Abstract

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
Figures

Figure 1

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).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top