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http://dx.doi.org/10.9765/KSCOE.2020.32.6.373

Development and Verification of NEMO based Regional Storm Surge Forecasting System  

La, Nary (Marine & Asian Dust Modelling Team, Operational Systems Development Department, National Institute of Meteorological Science)
An, Byoung Woong (Climate Model Development Team, Operational Systems Development Department, National Institute of Meteorological Science)
Kang, KiRyong (Marine & Asian Dust Modelling Team, Operational Systems Development Department, National Institute of Meteorological Science)
Chang, Pil-Hun (Marine & Asian Dust Modelling Team, Operational Systems Development Department, National Institute of Meteorological Science)
Publication Information
Journal of Korean Society of Coastal and Ocean Engineers / v.32, no.6, 2020 , pp. 373-383 More about this Journal
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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Times Cited By KSCI : 2  (Citation Analysis)
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