운용시스템에서의 해일고 예측과 추산 방법 개선

Title
운용시스템에서의 해일고 예측과 추산 방법 개선
Alternative Title
Improvement of Surge Prediction and Hindcast in Operating System
Author(s)
이종찬; 권재일; 최정운; 전기천; 박광순
KIOST Author(s)
Kwon, Jae Il(권재일)Choi, Jung Woon(최정운)Jun, Kicheon(전기천)
Publication Year
2011-04-12
Abstract
Surges around Korea have been predicted and hindcasted by Korea Operational Oceanographic System (KOOS). In KOOS, 3-day regional wind fields based on WRF model were imposed on a 2D tide model, and wind fields and tide were updated at every 12 hour-interval. This research summarized a reliable procedure for surge forecast and hindcast by focusing an event and surges in winter season. All results were compared with observed surges obtained with 1-minute interval. Studies on a surge event clearly showed that an accuracy of surge peak could be quite improved by using updated wind fields, however, sufficient tidal damping effect on surge peak should be considered when a peak occurred within 2 days for 3-day forecast. Also weighted average wind fields for first 12 hours were used in hindcast of surge, hindcasted surge showed a good agreement with observed surge peak.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/28423
Bibliographic Citation
The 2nd China-Korea joint workshop, pp.14 - 16, 2011
Publisher
NMEFC,
Type
Conference
Language
English
Publisher
NMEFC,
Related Researcher
Research Interests

Ocean Numerical Modelling,Physical Oceanography,Coastal processess,해양수치모델,물리해양학,연안과정

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