Advanced SearchSearch Tips
Development of an Operational Storm Surge Prediction System for the Korean Coast
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
  • Journal title : Ocean and Polar Research
  • Volume 31, Issue 4,  2009, pp.369-377
  • Publisher : Korea Institute of Ocean Science & Technology
  • DOI : 10.4217/OPR.2009.31.4.369
 Title & Authors
Development of an Operational Storm Surge Prediction System for the Korean Coast
Park, Kwang-Soon; Lee, Jong-Chan; Jun, Ki-Cheon; Kim, Sang-Ik; Kwon, Jae-Il;
  PDF(new window)
Performance of the Korea Ocean Research and Development Institute (KORDI) operational storm surge prediction system for the Korean coast is presented here. Results for storm surge hindcasts and forecasts calculations were analyzed. The KORDI storm surge system consists of two important components. The first component is atmospheric models, based on US Army Corps of Engineers (CE) wind model and the Weather Research and Forecasting (WRF) model, and the second components is the KORDI-storm surge model (KORDI-S). The atmospheric inputs are calculated by the CE wind model for typhoon period and by the WRF model for non-typhoon period. The KORDI-S calculates the storm surges using the atmospheric inputs and has 3-step nesting grids with the smallest horizontal resolution of 300 m. The system runs twice daily for a 72-hour storm surge prediction. It successfully reproduced storm surge signals around the Korean Peninsula for a selection of four major typhoons, which recorded the maximum storm surge heights ranging from 104 to 212 cm. The operational capability of this system was tested for forecasts of Typhoon Nari in 2007 and a low-pressure event on August 27, 2009. This system responded correctly to the given typhoon information for Typhoon Nari. In particular, for the low-pressure event the system warned of storm surge occurrence approximately 68 hours ahead.
storm surge;operational system;CE wind model;WRF;KORDI-S;
 Cited by
조석/폭풍해일 예측 모델과 검조소 조위자료를 활용한 한반도 연안 폭풍해일 특성 연구,유승협;이우정;

한국해안해양공학회논문집, 2010. vol.22. 6, pp.361-373
해양환경자료의 서비스를 위한 웹 기반 정보시스템,김진아;박광순;권재일;박진아;

한국정보과학회논문지:컴퓨팅의 실제 및 레터, 2011. vol.17. 12, pp.630-639
Development of the Operational Oceanographic System of Korea,;;;;;;;;;;;;;;;;;

Ocean Science Journal, 2015. vol.50. 2, pp.353-369 crossref(new window)
Development of a skill assessment tool for the Korea operational oceanographic system, Acta Oceanologica Sinica, 2013, 32, 9, 74  crossref(new windwow)
Development and Validation of an Operational Search and Rescue Modeling System for the Yellow Sea and the East and South China Seas, Journal of Atmospheric and Oceanic Technology, 2014, 31, 1, 197  crossref(new windwow)
Down-scaled regional ocean modeling system (ROMS) for high-resolution coastal hydrodynamics in Korea, Acta Oceanologica Sinica, 2013, 32, 9, 50  crossref(new windwow)
Development of the Operational Oceanographic System of Korea, Ocean Science Journal, 2015, 50, 2, 353  crossref(new windwow)
Calibration of backward-in-time model using drifting buoys in the East China Sea, Oceanologia, 2017, 59, 3, 238  crossref(new windwow)
Bajo M, Zampato L, Umgiesser G, Cucco A, Canestrelli P (2007) A finite element operational model for storm surge prediction in Venice, Estuarine. Estuar Coast Shelf Sci 75:236-249 crossref(new window)

Brassington GB, Pugh T, Spillman C, Schulz E, Beggs H, Schiller A, Oke PR (2007) BLUElink development of operational oceanography and servicing in Australia. J Res Pract Inf Technol 39:151-164

Buch E, She J (2005) Operational ocean forecasting at the Danish Meteorological Institute. Environ Res Eng Manage 3:5-11

Cardone VJ, Cox AT, Greenwood JA, Tompson EF (1994) Upgrade of tropical cyclone surface wind field model. US Army Corps of Engineers, Mics Paper CERC-94-14, 102 p

Holland GJ (1980) An analytic model of the wind and pressure profiles in hurricanes. Mon Wea Rev 108:1212-1218 crossref(new window)

Jun KC, Kwon JI, Park KS, Choi JW (2009) Application of Weather Research and Forecasting (WRF) for numerical ocean modeling. In: Proceedings of Fall science meeting of Korea Society of Oceanography, 1:89-95

Kang SW, Jun KC, Park KS, Bang GH (2002) A comparison of Typhoon wind models with observed winds. J Korean Soc Oceanogr 7:100-107 (In Korean)

Kwon JI, Lee JC, Park KS, Jun KC (2008) Comparison of Typhoon Wind Models Based on Storm Surge Heights Induced by Typhoon Maemi. Asia-Pacific J Atmos Sci 44:443-454

Lane EM, Walters RA, Gillibrand PA, Uddstrom M (2009) Operational forecasting of sea level height using an unstructured grid ocean model. Ocean Model 28:88-96 crossref(new window)

Lee JC, Kwon JI, Park KS, Jun KC (2008) Calculations of storm surges, Typhoon Maemi. J Korean Soc Coast Ocean Eng 20:93-100

Murty T, Swail V, Seo JW (2009) Storm surges around the globe-Operational aspects-preface. Mar Geodesy 32(2):89-90 crossref(new window)

National Center for Atmospheric Research (2009) ARW version 3 modeling systems users guide. Users GuideV3. pdf

Thompson EF, Cardone VJ (1996) Practical modeling of hurricane surface wind field. J Waterway Port Coastal and Ocean Eng - ASCE 122:195-205 crossref(new window)

Verlaan M, Zijderveld A, De Vries H, Kroos J (2005) Operational storm surge forecasting in the Netherlands: Developments in the last decade. Philos Trans R Soc A363:1441-1453 crossref(new window)

Vickery PJ, Skerlj PF, Steckley AC, Twisdale LA (2000) Hurricane wind field model for use in hurricane simulations. J Struct Eng 126:1203-1221 crossref(new window)

You SH, Seo JW (2009) Numerical study of storm surges and tide around Korea using operational ocean model. Mar Geodesy 32(2):243-263 crossref(new window)