On the development of an operational wave forecast system for the Korean East Coast

Title
On the development of an operational wave forecast system for the Korean East Coast
Author(s)
Sofia Caires; 김진아; Jacco Groeneweg; 유제선
KIOST Author(s)
Kim, Jinah(김진아)Yoo, Jeseon(유제선)
Publication Year
2017-10-31
Abstract
To respond to the need for preventing offshore and coastal accidents, damage and flooding, a state-of-the-art coastal wave forecast system for the East Coast of Korea waters is being set up. In setting up the system, attention is being paid to the choice of the most appropriate wave modelling settings, such as resolution and extent of the model grids, numerical settings and wave growth and dissipation settings. Furthermore, given that the quality of the input wind is one of the main factors influencing the quality of the wave results, the effectiveness of adjusting the wind fields by means of data assimilation using ensemble Kalman filter is also being explored. The validation of the developed model shows thatit is able to provide hindcast and analysis of coastal waves fulfilling available benchmarks especially the data assimilation analysis results are judged to be of high quality. to the choice of the most appropriate wave modelling settings, such as resolution and extent of the model grids, numerical settings and wave growth and dissipation settings. Furthermore, given that the quality of the input wind is one of the main factors influencing the quality of the wave results, the effectiveness of adjusting the wind fields by means of data assimilation using ensemble Kalman filter is also being explored. The validation of the developed model shows thatit is able to provide hindcast and analysis of coastal waves fulfilling available benchmarks especially the data assimilation analysis results are judged to be of high quality.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/23707
Bibliographic Citation
International Wave Workshop, pp.1 - 18, 2017
Publisher
MetOffice U.K.
Type
Conference
Language
English
Publisher
MetOffice U.K.
Related Researcher
Research Interests

AI/Machine Learning,Climate Change,Marine Disaster,인공지능/기계학습,기후변화,해양기상재해

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