• Title/Summary/Keyword: 해수열

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A Review of the Quality Control of Global Ocean Temperature and Salinity Data (전지구 수온 및 염분 자료 품질 관리에 관한 논의)

  • Chang, You-Soon
    • Journal of the Korean earth science society
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    • v.33 no.6
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    • pp.554-566
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    • 2012
  • High-density temperature and salinity profiles from the successful international Argo project made it possible to reproduce the three-dimensional global ocean state in near-real time, which also increased much attention on the data analysis studies of global ocean. This paper reviewed several important issues on the recent data analysis studies such as systematic biases of XBT (eXpendable BathyThermograph) and Argo data, sea level budget discrepancy between steric height and satellite observed data, heat content change, and the current status of the development of objective analysis fields. This study also emphasized that it is required to carry out very cautious ocean data quality control and understand global-scale ocean variability prior to analyzing the regional-scale ocean climate change, particularly, in the East Asian marginal Seas.

Prediction of Sea Surface Temperature and Detection of Ocean Heat Wave in the South Sea of Korea Using Time-series Deep-learning Approaches (시계열 기계학습을 이용한 한반도 남해 해수면 온도 예측 및 고수온 탐지)

  • Jung, Sihun;Kim, Young Jun;Park, Sumin;Im, Jungho
    • Korean Journal of Remote Sensing
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    • v.36 no.5_3
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    • pp.1077-1093
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    • 2020
  • Sea Surface Temperature (SST) is an important environmental indicator that affects climate coupling systems around the world. In particular, coastal regions suffer from abnormal SST resulting in huge socio-economic damage. This study used Long Short Term Memory (LSTM) and Convolutional Long Short Term Memory (ConvLSTM) to predict SST up to 7 days in the south sea region in South Korea. The results showed that the ConvLSTM model outperformed the LSTM model, resulting in a root mean square error (RMSE) of 0.33℃ and a mean difference of -0.0098℃. Seasonal comparison also showed the superiority of ConvLSTM to LSTM for all seasons. However, in summer, the prediction accuracy for both models with all lead times dramatically decreased, resulting in RMSEs of 0.48℃ and 0.27℃ for LSTM and ConvLSTM, respectively. This study also examined the prediction of abnormally high SST based on three ocean heatwave categories (i.e., warning, caution, and attention) with the lead time from one to seven days for an ocean heatwave case in summer 2017. ConvLSTM was able to successfully predict ocean heatwave five days in advance.

Comparison of Multi-Satellite Sea Surface Temperatures and In-situ Temperatures from Ieodo Ocean Research Station (이어도 해양과학기지 관측 수온과 위성 해수면온도 합성장 자료와의 비교)

  • Woo, Hye-Jin;Park, Kyung-Ae;Choi, Do-Young;Byun, Do-Seung;Jeong, Kwang-Yeong;Lee, Eun-Il
    • Journal of the Korean earth science society
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    • v.40 no.6
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    • pp.613-623
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    • 2019
  • Over the past decades, daily sea surface temperature (SST) composite data have been produced using periodically and extensively observed satellite SST data, and have been used for a variety of purposes, including climate change monitoring and oceanic and atmospheric forecasting. In this study, we evaluated the accuracy and analyzed the error characteristic of the SST composite data in the sea around the Korean Peninsula for optimal utilization in the regional seas. We evaluated the four types of multi-satellite SST composite data including OSTIA (Operational Sea Surface Temperature and Sea Ice Analysis), OISST (Optimum Interpolation Sea Surface Temperature), CMC (Canadian Meteorological Centre) SST, and MURSST (Multi-scale Ultra-high Resolution Sea Surface Temperature) collected from January 2016 to December 2016 by using in-situ temperature data measured from the Ieodo Ocean Research Station (IORS). Each SST composite data showed biases of the minimum of 0.12℃ (OISST) and the maximum of 0.55℃ (MURSST) and root mean square errors (RMSE) of the minimum of 0.77℃ (CMC SST) and the maximum of 0.96℃ (MURSST) for the in-situ temperature measurements from the IORS. Inter-comparison between the SST composite fields exhibited biases of -0.38-0.38℃ and RMSE of 0.55-0.82℃. The OSTIA and CMC SST data showed the smallest error while the OISST and MURSST data showed the most obvious error. The results of comparing time series by extracting the SST data at the closest point to the IORS showed that there was an apparent seasonal variation not only in the in-situ temperature from the IORS but also in all the SST composite data. In spring, however, SST composite data tended to be overestimated compared to the in-situ temperature observed from the IORS.

Studies on Changes in the Hydrography and Circulation of the Deep East Sea (Japan Sea) in a Changing Climate: Status and Prospectus (기후변화에 따른 동해 심층 해수의 물리적 특성 및 순환 변화 연구 : 현황과 전망)

  • HOJUN LEE;SUNGHYUN NAM
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.28 no.1
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    • pp.1-18
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    • 2023
  • The East Sea, one of the regions where the most rapid warming is occurring, is known to have important implications for the response of the ocean to future climate changes because it not only reacts sensitively to climate change but also has a much shorter turnover time (hundreds of years) than the ocean (thousands of years). However, the processes underlying changes in seawater characteristics at the sea's deep and abyssal layers, and meridional overturning circulation have recently been examined only after international cooperative observation programs for the entire sea allowed in-situ data in a necessary resolution and accuracy along with recent improvement in numerical modeling. In this review, previous studies on the physical characteristics of seawater at deeper parts of the East Sea, and meridional overturning circulation are summarized to identify any remaining issues. The seawater below a depth of several hundreds of meters in the East Sea has been identified as the Japan Sea Proper Water (East Sea Proper Water) due to its homogeneous physical properties of a water temperature below 1℃ and practical salinity values ranging from 34.0 to 34.1. However, vertically high-resolution salinity and dissolved oxygen observations since the 1990s enabled us to separate the water into at least three different water masses (central water, CW; deep water, DW; bottom water, BW). Recent studies have shown that the physical characteristics and boundaries between the three water masses are not constant over time, but have significantly varied over the last few decades in association with time-varying water formation processes, such as convection processes (deep slope convection and open-ocean deep convection) that are linked to the re-circulation of the Tsushima Warm Current, ocean-atmosphere heat and freshwater exchanges, and sea-ice formation in the northern part of the East Sea. The CW, DW, and BW were found to be transported horizontally from the Japan Basin to the Ulleung Basin, from the Ulleung Basin to the Yamato Basin, and from the Yamato Basin to the Japan Basin, respectively, rotating counterclockwise with a shallow depth on the right of its path (consistent with the bottom topographic control of fluid in a rotating Earth). This horizontal deep circulation is a part of the sea's meridional overturning circulation that has undergone changes in the path and intensity. Yet, the linkages between upper and deeper circulation and between the horizontal and meridional overturning circulation are not well understood. Through this review, the remaining issues to be addressed in the future were identified. These issues included a connection between the changing properties of CW, DW, and BW, and their horizontal and overturning circulations; the linkage of deep and abyssal circulations to the upper circulation, including upper water transport from and into the Western Pacific Ocean; and processes underlying the temporal variability in the path and intensity of CW, DW, and BW.

Abnormal Water Temperature Prediction Model Near the Korean Peninsula Using LSTM (LSTM을 이용한 한반도 근해 이상수온 예측모델)

  • Choi, Hey Min;Kim, Min-Kyu;Yang, Hyun
    • Korean Journal of Remote Sensing
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    • v.38 no.3
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    • pp.265-282
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    • 2022
  • Sea surface temperature (SST) is a factor that greatly influences ocean circulation and ecosystems in the Earth system. As global warming causes changes in the SST near the Korean Peninsula, abnormal water temperature phenomena (high water temperature, low water temperature) occurs, causing continuous damage to the marine ecosystem and the fishery industry. Therefore, this study proposes a methodology to predict the SST near the Korean Peninsula and prevent damage by predicting abnormal water temperature phenomena. The study area was set near the Korean Peninsula, and ERA5 data from the European Center for Medium-Range Weather Forecasts (ECMWF) was used to utilize SST data at the same time period. As a research method, Long Short-Term Memory (LSTM) algorithm specialized for time series data prediction among deep learning models was used in consideration of the time series characteristics of SST data. The prediction model predicts the SST near the Korean Peninsula after 1- to 7-days and predicts the high water temperature or low water temperature phenomenon. To evaluate the accuracy of SST prediction, Coefficient of determination (R2), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE) indicators were used. The summer (JAS) 1-day prediction result of the prediction model, R2=0.996, RMSE=0.119℃, MAPE=0.352% and the winter (JFM) 1-day prediction result is R2=0.999, RMSE=0.063℃, MAPE=0.646%. Using the predicted SST, the accuracy of abnormal sea surface temperature prediction was evaluated with an F1 Score (F1 Score=0.98 for high water temperature prediction in summer (2021/08/05), F1 Score=1.0 for low water temperature prediction in winter (2021/02/19)). As the prediction period increased, the prediction model showed a tendency to underestimate the SST, which also reduced the accuracy of the abnormal water temperature prediction. Therefore, it is judged that it is necessary to analyze the cause of underestimation of the predictive model in the future and study to improve the prediction accuracy.

Global Wanning and Trends of Typhoon Variation (지구 온난화와 태풍의 변화 경향)

  • Seol, -Dong-Il
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2010.04a
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    • pp.238-239
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    • 2010
  • 근래, 이산화탄소로 대표되는 온실효과 기체의 증가에 동반하여 대류권의 기온이 정정 상승하는 지구 온난화의 경향이 나타나고 있다. 지구 온난화가 지속되면 해수면온도가 상승하고 그에 따라 해빙 면적의 축소와 해수면 상승이 동반된다. 이와 같은 지구 온난화의 상황이 지속되면 이상기상이 지구상 각지에서 빈발할 것이라는 주장도 제기되고 있다. 이 연구에서는 장기간의 태풍 관련 데이터를 이용하여 지구 온난화와 관련한 태풍의 변화 경향을 분석하였다. 연구 결과 지구 온난화와 더불어 태풍의 발생 수는 감소하고 있으며, 태풍의 세기는 서서히 강화되고 있음을 확인하였다. 그리고 태풍의 이동경로 중에서 정상진로는 증가하는 경향을 보이고 서진형진로는 감소하는 추세를 보이고 있다는 사실을 알았다. 우리나라의 경우는 최근에 들어 통해(또는 일본)를 통과하면서 영향을 미치는 태풍의 수가 증가하는 반면 서해를 통과하는 태풍의 수는 감소하는 경향을 보인다. 그리고 우리나라에 가장 큰 기상재해를 입히는 남해를 통과하는 태풍의 수는 시계열 상 큰 변화를 보이지 않는다.

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한국 남해 대륙붕 후 제4기 퇴적층의 순차 층서 모델

  • 유동근;이호영;남승일
    • Proceedings of the Korean Quaternary Association Conference
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    • 2004.06a
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    • pp.7-7
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    • 2004
  • 한국 남동해역 대륙붕에서 취득된 고해상 탄성파 탐사자료와 퇴적물 시료의 분석에 의하면 후 제4기 퇴적층은 마지막 빙하기 이후의 해수면 변화에 의해 조절되는 저해수면계열, 해침계열, 고해수면계열로 구성된다. 시퀀스 경계면 위의 저해수면계열(층서단위 I)은 마지막 빙하기 동안 퇴적된 니질사 혹은 사질니 퇴적물로 구성되며 대륙붕단과 해곡의 외해역에 분포한다. 해침면과 최대 해침면 사이에 위치하는 해침계열(층서단위 II)은 지난 15,000-6,000년 사이에 퇴적되었으며 주로 사질퇴적물로 구성된다. 해침계열은 연구해역 전반에 걸쳐 넓게 분포하지만 저해수면계열과 고해수면계열에 비해 박층으로 분포한다. 이러한 해침계열은 분포특성에 따라 3개의 소퇴적단위로 세분된다. 즉, 대륙붕단의 초기해침계열(Unit IIa), 중간대륙붕의 중기해침계열(Unit IIb), 내대륙붕의 후기해침계열(Unit IIc)등으로 이들은 후배열층서의 특성을 가진다. 최대해침면 상부에 놓이는 고해수면계열(층서단위 III)은 해수면이 현 수준에 도달한 지난 약 6,000년 이후에 퇴적된 현생 니질 퇴적물로 구성되며 내대륙붕의 연안을 따라 제한적으로 분포한다.

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Performance Test for High Efficient Heat Pump System using Seawater Heat Source and Exhaust Energy (해수열원 및 폐열이용 고성능 열펌프 시스템 성능실험)

  • 최광일;오종택;오후규
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.15 no.12
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    • pp.979-986
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    • 2003
  • The performance characteristics of heating and cooling operation for a heat pump system using seawater heat source and exhaust energy are presented. The heat pump system is made of a waste heat recovery system and a vapor compression refrigeration system. The working fluid is R-22. The heat pump system COPs are measured during heating and cooling operation modes, and the resultant COPs were 9.7 and 7.9, respectively, which are three times higher than those of the heat pump itself. Therefore, the performance of the heat pump system using exhaust energy is excellent compared to that of a general heat pump. The experimental data can be effectively used for the design of the high efficient heat pump using a seawater heat source.

Technical Trend of Seawater Desalination Plant Using Renewable Energy (신재생에너지를 활용한 해수담수화플랜트 개발동향과 전망)

  • Choi, Jae-Baek;Jeong, Chang-Hee;Park, Seung-Gyu
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.1368-1369
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    • 2011
  • 이 연구는 최근 물 부족시대를 대비한 차세대 기술로 각광 받고 있는 해수담수화설비의 동력을 기존의 화석연료에서 신재생에너지로 전환하고 있는 세계적인 추세와 기술동향을 살펴보고 국내 적용 가능성을 검토한 것이다. 특히 태양열, 태양광, 풍력 등을 활용하여 MENA(Middle East Asia & North Africa), 스페인, 지중해 연안 등의 지역에서 추진 중인 프로젝트의 성과를 살펴보고, 이를 토대로 극심한 물 부족으로 불편을 겪고 있는 국내 해안 도서지역에 적용할 수 있는 방안을 검토하였다.

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An Experimental Study on Sea Water Freezing Behavior in a Cooled Circular Tube (원관내의 해수동결거동에 관한 실험적연구)

  • 김명준
    • Journal of Advanced Marine Engineering and Technology
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    • v.22 no.5
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    • pp.680-686
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    • 1998
  • In the adoption of a desalination system the most important factor is the cost of fresh water pro-duction. In general LNG is stored in a tank as a liquid state below $-162^{\circ}C$ When it is serviced however the LNG absorbs energy from a heat source and it is transformed to a high pressure gaseous state. During this process a huge amount of cold energy accumulated in cooling LNG is wasted. This wasted cold energycan be utilized to produce fresh water by using a sea water freez-ing desalination system. in order to develop a sea water freezing desalination system and to estab-lish its design technique qualitative and quantitative data regarding the freezing behavior of sea water is required in advance. The goals of this study are to reveal the freezing mechanisms of sea water in a cooled circular tube to measure the freezing rate and to investigate the freezing heat-transfer characteristics. The experimental results provide a general understanding of sea water freezing behavior in a cooled circular tube.

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