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Journal of Korean Society of Coastal and Ocean Engineers > Volume 32(6); 2020 > Article
J Korean Soc Coast Ocean Eng 2020;32(6): 373-383. doi: https://doi.org/10.9765/KSCOE.2020.32.6.373
NEMO 모델을 이용한 지역 폭풍해일예측시스템 개발 및 검증
라나리1, 안병웅2, 강기룡3, 장필훈4
1국립기상과학원 현업운영개발부 예측모델연구팀 연구원
2국립기상과학원 현업운영개발부 기후모델개발팀 선임연구원
3국립기상과학원 현업운영개발부 예측모델연구팀 연구관
4국립기상과학원 현업운영개발부 예측모델연구팀 연구관
Development and Verification of NEMO based Regional Storm Surge Forecasting System
Nary La1, Byoung Woong An2, KiRyong Kang3, Pil-Hun Chang4
1Researcher, Marine & Asian Dust Modelling Team, Operational Systems Development Department, National Institute of Meteorological Science, 33, Seohobuk-ro, Seogwipo-si, Jeju-do 63568, Korea
2Senior Researcher, Climate Model Development Team, Operational Systems Development Department, National Institute of Meteorological Science
3Senior Research Scientist, Marine & Asian Dust Modelling Team, Operational Systems Development Department, National Institute of Meteorological Science
4Senior Research Scientist, Marine & Asian Dust Modelling Team, Operational Systems Development Department, National Institute of Meteorological Science
Corresponding author: Nary La ,Tel: +82-64-780-6591, Fax: +82-64-738-6514, Email: lanary124@gmail.com
Received: September 11, 2020;  Revised: October 30, 2020.  Accepted: November 3, 2020.
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ABSTRACT
In this study we established an operational storm-surge system for the northwestern pacific ocean, based on the NEMO (Nucleus for European Modeling of the Ocean). The system consists of the tide and the surge models. For more accurate storm surge prediction, it can be completed not only by applying more precise depth data, but also by optimal parameterization at the boundaries of the atmosphere and ocean. To this end, we conducted several sensitivity experiments related to the application of available bathymetry data, ocean bottom friction coefficient, and wind stress and air pressure on the ocean surface during August~September 2018 and the case of typhoon SOULIK. The results of comparison and verification are presented here, and they are compared with POM (Princeton Ocean Model) based Regional Tide Surge forecasting Model (RTSM). The results showed that the RTSM_NEMO model had a 29% and 20% decrease in Bias and RMSE respectively compared to the RTSM_POM model, and that the RTSM_NEMO model had a lower overall error than the RTSM_POM model for the case of typhoon SOULIK.
Keywords: tide, storm surge, NEMO, regional model
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