• Proceedings of the KSRS Conference
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• 2009.03a
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• pp.151-154
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• 2009

MODIS Aqua에 의한 한반도 주변 해역의 관측은 엽록소의 변동을 관측하여 해양환경변화를 관측하는데 주로 연구되었다. 그러나 황해는 Case II 해역으로 해양의 엽록소 관측에 오차가 크기 때문에 동해와 남해, 동중국해역을 관측한 연구가 발표되어 왔다. 특히 적조와 같은 이상변동을 관측하는데 해색자료의 활용은 매우 활발한 연구가 이루어졌다. 하지만 K490(Diffuse attenuation coefficient for downwelling irradiance at 490nm)은 OCTS, SeaWiFS, MODIS, MERIS 등의 해색자료에 의해 많은 자료가 생산되고 있으나 이를 이용한 한반도 주변 해역의 해양환경변동에 관한 연구는 부족한 실정이다. 본 연구에서는 2008년 한반도 주변해역에서 관측된 MODIS 자료를 처리하여 K490에 의한 시-공간적 변화를 분석하였다. 특히 K490에 의한 월 변화(monthly)와 통계처리 결과를 분석하여 기후변화의 주요 분석인자인 해양의 일차생산력을 판단하는데 중요한 영향을 미치는 K490의 공간 특성을 제시하였다. 한반도 주변 해역의 K490에 의한 시-공간적 특성은 육상의 주요 하천에서 기인하는 부유사와 서남해역의 재부유 물질에 의한 영향이 시-공간적으로 뚜렷하게 나타나는 것을 파악할 수 있었다.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.29 no.2
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• pp.101-115
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• 2024

The ocean heatwave is emerging as a major issue due to global warming, posing a direct threat to marine ecosystems and humanity through decreased food resources and reduced carbon absorption capacity of the oceans. Consequently, the prediction of ocean heatwaves in the vicinity of the Korean Peninsula is becoming increasingly important for marine environmental monitoring and management. In this study, an LSTM model was developed to improve the underestimated prediction of ocean heatwaves caused by the coarse vertical grid system of the Korean Peninsula Ocean Prediction System. Based on the results of ocean heatwave predictions for the Korean Peninsula conducted in 2023, as well as those generated by the LSTM model, the performance of heatwave predictions in the East Sea, Yellow Sea, and South Sea areas surrounding the Korean Peninsula was evaluated. The LSTM model developed in this study significantly improved the prediction performance of sea surface temperatures during periods of temperature increase in all three regions. However, its effectiveness in improving prediction performance during periods of temperature decrease or before temperature rise initiation was limited. This demonstrates the potential of the LSTM model to address the underestimated prediction of ocean heatwaves caused by the coarse vertical grid system during periods of enhanced stratification. It is anticipated that the utility of data-driven artificial intelligence models will expand in the future to improve the prediction performance of dynamical models or even replace them.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.11a
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• pp.21-22
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• 2022

본 연구는 국가별 해양지형의 공간적 인식을 분석하여 일본의 식민지 정책 중심에 따라 건설된 한반도 등대라는 관점에서 벗어나, 유럽 및 아시아의 지역 관계에 속의 한반도 등대를 살펴보았다.

• Proceedings of the Korean Society of Coastal and Ocean Engineers Conference
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• 1995.10a
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• pp.160-163
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• 1995

일본 병고현 보부지진은 우리나라는 물론 전세계에 큰 충격을 주었다. 최첨단 과학기술과 경사대국의 재력을 가진 나라들도 이 자연의 무서운 파양역에 아직은 무력함을 이 지진 참사가, 그것을 단적으로 증명해 준다. 지금까지는 한반도이 환태평양 지진대에서 다소 떨어져 있어서 큰 지진이 발생할 염려가 없다는 것이 일반적인 통념이었다. (중략)

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2004.11a
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• pp.33-40
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• 2004

본 논문에서는 해양조석의 부하효과가 매우 큰 것으로 알려져 있는 우리나라의 서해안을 비롯하여 연안에 설치된 GPS 상시관측소(제주도, 호미곶, 주문진, 마라도, 팔미도, 울릉도, 영도) 데이터를 사용하여 각 관측소의 해양조석의 부하영향으로 인한 지각의 연직변동량을 계산하였다. 총 12개의 해양조석 부하성분의 결과와 실제 해양조석값을 이용한 회귀분석을 통해 실제 해양조석에 대한 한반도 연안의 해양조석 부하영향을 추정하였다. 그 후 이들을 일본과 우리나라 주변에 대하여 지역적으로 개량한 해양조석모델(NAO99jb)로부터 계산된 결과들과 비교ㆍ분석을 실시하여, 지역적인 해양조석 모델의 개발가능성을 검토하였다.

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2000.05a
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• pp.211-212
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• 2000

유공충은 껍질(test)을 가지는 원생동물로 기수역(brackish) 내지는 해양에 널게 분포하고 있다. 대부분 석회질 혹은 사질(arenaceous)의 껍질로 구성되어 있으며, 해양퇴적물의 중요한 생물원 요소가 되고 있다(Matoba, 1975). 유공충은 서식환경에 따라 종조성을 달리하거나 종내변이(variety 혹은 ecophenotype)를 보이며 환경의 변화에 민감하게 반응한다. 본 연구에서는 한반도 동남부 연안해역의 내 대륙붕 니질대(nearshore mud belt) 및 영일만에 분포하는 저서성유공충의 분포특성을 파악하고 저질환경인자에 대한 반응 종을 탐색함으로써 연안환경에 서식하는 유공충의 환경지시자를 밝히고자 한다. (중략)

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.16 no.4
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• pp.241-257
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• 2004

Global prognostic models based on NCOM(NCAR CSM Ocean Model) of NCAR which is generic from Bryan-Cox-Semtner model are established to study the ocean circulation in the neighboring seas of Korean peninsula. The model domain covers areas from $80.6{^\circ}S~88.6{^\circ}N$in meridional direction and the vertical water column is divided into 15 levels taking enhanced grid resolution of $0.3^\circ$ around Korean peninsula. Island option is used for 22 islands to simulate inshore circulation by hole-relaxation method and the restart hydrographic data are taken from NCAR(1998) CSM model that has been run for 300 years. The wind stress data are taken from Choi et al. (2002). Based on the model results, circulation patterns in the NW Pacific and global oceans are investigated. Volume transports calculated at five straits in the neighboring seas of Korean peninsula are compared with the results from Choi et al. (2002) and other observed data.

• Journal of the Korean earth science society
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• v.45 no.3
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• pp.192-202
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• 2024

Ocean reanalysis data are extensively used in ocean circulation and climate research by integrating observational data with numerical models. This approach overcomes the spatial and temporal limitations of observational data and provides high-resolution gridded information that considers the physical interactions between ocean variables. In this study, I extended the previously produced 12-year (2011-2022) Northwest Pacific regional ocean reanalysis data to create a long-term reanalysis dataset (K-ORA22E) with a horizontal resolution of 1/24° spanning 30 years (1993-2022). These data were analyzed to diagnose long-term ocean climate change in the Korean marginal seas. Analysis of the K-ORA22E data revealed that the axis of the Kuroshio extension has shifted northward by approximately 6 km per year over the past 30 years, with a significant increase in sea surface temperature north of the Kuroshio axis. Among the waters surrounding the Korean Peninsula, the East Sea exhibited the most significant temperature increase. In the East Sea, the temperature increase was more pronounced in the middle layer than in the surface layer, with the East Korea Warm Current showing a rate two to three times higher than the global average. In the central Yellow Sea, where the Yellow Sea Bottom Cold Water appears, temperatures increased over the long-term, but decreased along the west and south coasts of the Korean Peninsula. These spatial differences in long-term temperature changes appear to be closely related to the heat transport pathways of warm water from the Kuroshio Current. High-resolution regional ocean reanalysis data, such as the K-ORA22E produced in this study, are essential foundational data for understanding long-term variability in the Korean marginal seas and analyzing the impacts of climate change.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.22 no.6
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• pp.361-373
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• 2010

Analysis has been made on the tide/storm surges characteristics near the Korean marginal seas in the 2008 and 2009 years using operational ocean prediction model of the Korea Meteorological Administration(KMA). In order to evaluate its performance, its results were compared with the observed data by tidal stations around Korean Peninsula. The model used in this study predicts very well the characteristics of tide/storm surges near the Korean Peninsula. Simulated storm surges show the evident effects of Typhoons in summer season. The averaged root mean square error(RMSE) of 48 hr forecasting between the modeled and observed storm surges are 0.272 and 0.420 m in 2008 and 2009, respectively. Due to strong sea winds, the highest storm surges heights was found in summer season of 2008, however, in 2009, the high storm surges heights was also found in other seasons. When Typhoon Kalmaegi(2008) and Morokot(2009) approached to Korean Peninsular, the accuracy of model predictions is almost same as annual mean value but the precision accuracy for Typhoon Morakot is lower than of Typhoon Kalmaegi similar to annual results.

• Coastal and Ocean
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• v.5 no.2
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• pp.4-10
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• 2012