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한반도 주변 해역에서의 MetOp-B와 Jason-2 인공위성 해상풍 검증
손동휘(Donghwi Son),전기천(Kicheon Jun),심재설(Jae-Seol Shim),권재일(Jae-il Kown),유제선(Jeseon Yoo) 한국연안방재학회 2020 한국연안방재학회지 Vol.7 No.4
In the last few decades, many studies on estimation of sea surface winds using satellites have been increasingly carried out with advancement of remote sensing technology. In prior to the use of satellite data for physical analysis, validation and calibration of the satellite raw data should be conducted. Most of the previous validation studies have mainly focused on the offshore data which were collected 50km or more away from the coastline. This is to remove the effect of land interference from the radar signal data. In this study, a method of validating wind speed data based on wind direction is proposed to improve the validation, in particular, for the satellite data collected in coastal area, intending to enhance the utilization of the satellite data which is adjacent to the land. MetOp-B and Jason-2 data were considered as satellite dataset. For the validation of the satellite data, the in-situ measurements from Korea Meteorological Administration(KMA) and Korea Hydrographic and Oceanographic Agency(KHOA) were used. Reduced Major Axis(RMA) regression method was applied as regression analysis between the satellite wind data and in-situ measurements. As a general results, when wind speeds with wind directions from the offshore were compared between the satellite and in-situ buoy data, the correlations were higher and the root mean square errors were lower compared to the wind blows from the land.
Correction Factor for Assessment of Nearshore Wave Energy
김건우(Kim, Gunwoo),정원무(Jeong, Weon Mu),전기천(Jun, Kicheon),이명은(Lee, Myung Eun) 한국신재생에너지학회 2011 한국신재생에너지학회 학술대회논문집 Vol.2011 No.05
Previously, many researchers assessed nearshore wave energy in two ways. The first is a simulation with respect to the offshore wave time series to validate the wave buoy data and the wave model results, and the other is to simulate the representative waves of typical seasonal wave conditions. The former requires enormous computational time and effort. The latter yields inspection on the patterns for the spatial and temporal distribution of nearshore wave energy but tends to underestimates the amount of wave energy in the nearshore region owing to the correlation between the significant wave height and wave period. ozger et al. (2004) derived the stochastic wave energy formulation by introducing a correction factor explicitly in terms of the covariance of the wave energy and significant wave height. In this study, a correction factor was applied for the assessment of nearshore wave energy obtained by numerical simulation of wave transformation with respect to representative waves.
세월호 침몰사고 수색구조 지원: 운용 해양예보시스템 (KOOS : Korea Operational Oceanographic System) 적용
박광순(Park, Kwang-Soon),허기영(Heo, Ki-Young),최진용(Choi, Jin -Yong),전기천(Jun, Kicheon),최정운(Choi, Jung-Woon) 한국연안방재학회 2014 한국연안방재학회 학술발표대회 논문집 Vol.2014 No.-
세월호 침몰사고 (201 4. 4. 16) 이후 한국해양과학기술원에서는 운용해양예보시스템을 활용하여 희생자들의 수색구조를 위한 해상상태 (유속, 파랑 등) 예측 및 표류 예측 자료를 매일 공식적으로 제공하고 있다. 이에 운용해양예보 시스템을 활용한 세월호 침몰사고 수색구조 지원 자료 및 내용에 대해 소개하고자 한다.