• Korean Journal of Fisheries and Aquatic Sciences
• /
• v.24 no.6
• /
• pp.450-458
• /
• 1991

The thermal structures and their spatio-temporal fluctuations in the upper 200m layer off the southeast coast of Korea are studied using the bimonthly temperature data for 17years(1967-1983) at 37 stations. We analyzed the fluctuations of the temperatures in the surface(0-100m) and in the subsurface(100-200m) layers. The fluctuations of temperatures in the surface water are dominated by the annual variation, whereas the subsurface layer temperatures contain considerable non-seasonal fluctuations. The distributions of water temperature anomalies in the subsurface layer are closely related with those in the surface layer. The predominant periods of temperature fluctuations in the subsurface layer, other than the annual variation, are 14 and 70 months. The period of 14 months coincides with that of the pole tide or Chandler wobble. The cluster analysis shows that our study area can be divided into the cold, the frontal and the warm regions.

• Proceedings of the Korean Environmental Sciences Society Conference
• /
• 2007.05a
• /
• pp.331-335
• /
• 2007

본 연구에서는 장기간의 현장관측 수온, 염분자료를 분석하여 동중국해 북부해역에서 계절별 수온, 염분의 변동 특성을 조사하였다. 표층의 경우 춘계 수온상승에는 공간적인 차이가 있다. 또한 서부해역($125^{\circ}E$ 이서)에서는 32 psu 이하의 저염 분포가 나타나고 제주 남서해역에서 33psu 이하의 저염수가 춘계부터 제주 주변해역으로 확장한다. 하계 표층염분은 $28.0{\sim}32.4$ psu로 연중 최저값은 보이며, 전해역 표층 염분이 33psu 이하로 저염의 양자강 희석수가 하계에 동중국해 북부해역 표층 전체에 영향을 미치고 있다. 추계의 표층수온과 염분은 동고서저형의 수평분포를 나타낸다. 수온 하강은 서부해역인 대륙 연안수역이 동부의 대마난류수역에 비해 크고, 서부해역에서 33psu 이하의 설상형 저염분포가 이시기에 남동쪽으로 관입되는 형태로 나타나 동계의 남북방향의 염분전선과 이어지게 된다. 연직해황의 경우 동계 수온과 염분은 활발한 대륙작용에 의해 전수층에서 균일한 분포를 나타내며, 대륙연안수역에서는 저온, 저염($12^{\circ}C$, 33psu 이하)의 분포를, 대마난류수역에서는 고온, 고염($16^{\circ}C$, 34.4psu 이상)분포의 지역적인 특성으로 구별된다. 춘계에는 수온약층이 형성되며, 저층에는 동계에 형성되어 대륙연안수와 외양수 사이에 고립된 $13^{\circ}C$ 이하의 냉수괴가 분포한다. 염분은 표층 저염화가 시작된다. 하계에는 양자강 유출수의 영향으로 전해역 표층에서는 30psu 이하로 전해역에서 저염화 양상이 나타나며, 표층에서 30m 층까지 매우 강한 염분약층이 형성된다. 추계 수온 엽문은 균일한 연직수온분포가 나타나며, 동부해역에서는 수심 $75{\sim}100m$사이에서 수온, 염분약층이 형성된다. 동중국해의 수괴는 뚜렷한 계절 변동을 보이며, 대마난류수역인 동부해역에서는 수괴 계절변동의 요인으로 계절 수온변동이 지배적이고, 수온변동은 춘계와 하계 사이에 가장 크다. 중앙부와 대륙연안역인 서부해역에서는 수괴 계절변동에 수온외에 염분 변화가 주요한 요인으로 작용하며, 염분은 하계와 추계 사이에 가장 변동이 크게 나타난다. 즉, 동중국해의 수괴변동에는 변동요인에 따른 공간적인 차이가 있으며, 수괴변화 특성으로 동중국해는 수온변화가 수괴변동에 직접요인이 되는 동부 대마난류수역과 염분변화가 수괴변동의 직접요인인 서부의 대륙연안수역으로 구분된다.

• Korean Journal of Remote Sensing
• /
• v.34 no.6_1
• /
• pp.953-968
• /
• 2018

In order to understand the change of surface water temperature in the East China Sea (ECS), this study analyzed the relationship between sea surface temperature (SST), air temperature (AT) and heat flux using satellite and model reanalysis data from 2003 to 2017. SST in the ECS showed the lowest (average : $13.72^{\circ}C$) in March and the highest (average : $28.12^{\circ}C$) in August. AT is highly correlated with SST and shows a similar seasonal change. In August, SST is higher than AT and then continuously higher than AT until winter. To analyze the change of the summer SST in the ECS, we used the SST anomaly value in August to classify the periods with positive (04', 06', 07', 13', 16', 17') and negative (03', 05', 08', 09', 10', 11', 12', 14', 15') values. Spatial similarity between the two periods indicates that SSTs are relatively larger variations in the northern part than in the southern part, and in the western part than in the eastern part in the study area. AT and net heat flux values also show similar changes with SST. However, the periods of the positive SST anomaly have the relatively increasing SST, AT and heat flux values compared to the periods of the negative SST anomaly in the summer season of the ECS. Although the change of SST in the summer season generally well correlates with AT, there were the periods when it was different from general trends between SST and AT (10', 12', 15', 16'). SST in August 2010 and 2012 decreased by $0.5^{\circ}C$ from AT. It suggests that the decreasing SST was considered to be caused by the effects of the typhoon passing through the study area. In August 2015, AT was relatively lower than SST (> $0.5^{\circ}C$), which is might be weakening of the East Asian Summer Monsoon. In August 2016, SST and AT show the highest values during the whole study periods, but SST is higher than AT (> $1^{\circ}C$). From satellite and heat flux data, the variations of SST have been shown to be relatively higher in the area of the expansion Changjiang Diluted Water (CDW) originated from the China coast. More research is needed to analyze this phenomenon, it is believed as not only the effect of rising AT but also the expansion of the low-salinity water.

• Journal of Korean Society of Coastal and Ocean Engineers
• /
• v.22 no.5
• /
• pp.316-325
• /
• 2010

Harmonic analyses are carried out in order to obtain the major frequency components of the air temperature (AT) and surface water temperature (SWT) data monitored in the Middle Area of the Yellow Sea (Yellow Sea monitoring buoy). The analysis shows the annual and semi-annual components are predominant and the higher frequency components are relatively weak with contribution to the short fluctuations, i.e. below $0.2{\sim}0.5^{\circ}C$, in the AT and SWT. The standard deviation of the AT residual is 2.4 times larger than that of the SWT residual and the occurrence frequency distributions of the AT and SWT residual components are both closely fitted to a normal-distribution function. The variation pattern on the AT-SWT plane forms the clear continuous hysteresis loop in anti-clockwise direction which is composed of the AT-SWT rising period, AT-SWT falling period, and the constant SWT period in winter season.

• Korean Journal of Remote Sensing
• /
• v.15 no.1
• /
• pp.1-8
• /
• 1999

The estimation technique of surface water temperature by satellite remote sensing has been applied to ocean and large lakes using AVHRR. However, the spatial resolution AVHBR is not abquate for coastal region and small lakes. Landsat 5 TM has 120 m spatial resolution, which suits better. We carried out analysis of surface water temperature in Lake Sihwa and near coastal area using Landsat 5 TM. To relate digital number to the brightness temperature, we applied Empirical, NASA, RESTEC, Quadratic methods. Comparing calculated and observed value, we obtained as follows; NASA method, $R^2=0.9343$, RMSE(Root Mean Square Error)=3.5876$^{\circ}C$; RESTEC method, $R^2=0.8937$, RMSE=3.76$^{\circ}C$; Quadratic method, $R^2=0.8967$, RMSE=2.949$^{\circ}C$. Because Landsat TM has only one band for extracting surface temperature, it was difficult to correct for the atmospheric errors. For improving the accuracy of surface temperature detection using Landsat TM, there is a need for a method to decrease the effect of atmospheric contents.

• Korean Journal of Ecology and Environment
• /
• v.36 no.3 s.104
• /
• pp.277-285
• /
• 2003

Temperature profiles were observed to understand seasonal variation of thermal structures in the Juam reservoir from March 2000 to May 2001. Heat flux which affects thermal structures was calculated by observed water temperature and meteorological data. Temperature became homogeneous vertically by convection due to the surface cooling in winter. Maximum heat loss through the surface (109.45W/$m^2$) occurred in December. There was a horizontal gradient of water temperature in winter. The temperature was $3^{\circ}C$ at upstream and $5^{\circ}C$ near the dam. The surface temperature increased by the increase of solar radiation in spring and summer. Maximum heat gained through the surface was 101.95 W/$m^2$ in July. Maximum surface temperature was $29^{\circ}C$ in August, whereas the bottom water was $7^{\circ}C.$ Surface mixed layer became thicker and its temperature decreased by surface heat loss in fall and winter.

• Journal of Environmental Impact Assessment
• /
• v.24 no.4
• /
• pp.367-374
• /
• 2015

To examine the effect of thermal discharge from nuclear power plants, Sea Surface Temperature (SST) is one of the most important variables measured by satellite remote sensing. However, the study was not much comparison of field data and satellite SST from operational Landsat 8 Thermal Infrared Sensor(TIRS) and Landsat 7 ETM+. The Landsat 8 TIRS have 2 spilt Thermal Infrared channels but ETM+ uses one channel for extracting of SST. In spite of that this research carried out that Landsat 7 ETM+ have more profitable for correction of SST than Landsat 8 TIRS. The used 15 Landsat 7 and 8 Thermal Infrared data of path/row 114-36 were processed by SST algorithm of ENVI and IDL. The in-situ SST data from KHOA(Korea Hydrographic and Oceanographic Administration) compared with satellite SST and the accuracy of extracted SST were assessed by each field sites in-situ point data with time series satellite SST.

• Atmosphere
• /
• v.23 no.3
• /
• pp.283-291
• /
• 2013

This study investigates the changes in the atmosphere-ocean interactions over the South China Sea (SCS) by analyzing their variables in the period of 1979~2011 during the boreal summer (June-July-August). It is found that a simultaneous correlation coefficient between sea surface temperature (SST) and precipitation over SCS during summer is significantly changed before and after the late-1990s. That is, the variation of precipitation over SCS is negatively (positively) correlated with the SST variations before (after) the late-1990s. Our further correlation analysis indicates that the atmospheric forcing of the SST is dominant before the late-1990s accompanying with wind-evaporation feedback and cloud-radiation feedback. After the late-1990s, in contrast, the SST forcing of the atmosphere through the latent heat flux from the ocean to the atmosphere is dominant. It is found that the change in the relationship of atmosphere-ocean interactions over SCS are associated with the changes in the relationship with Northeast Asian summer precipitation. In particular, a simultaneous correlation coefficient between the precipitation over SCS and Northeast Asia becomes stronger during after the late-1990s than before the late-1990s. We argue that the increase of the SST forcing of the atmosphere over SCS may lead a direct relationship of precipitation variations between SCS and Northeast Asia after the late-1990s.

• Proceedings of KOSOMES biannual meeting
• /
• 2006.05a
• /
• pp.137-140
• /
• 2006

황해와 동중국해의 해황 변동에 관한 연구는 현장관측을 중심으로 체계적으로 많이 수행되어 왔지만, 인공위성자료를 이용한 황해와 동중국해의 해황 변동 연구는 미비한 실정이다. 이것은 인공위성자료를 통해 얻을 수 있는 관측항목이 표층수온자료에 국한되어 있었기 때문이다. 그러나 SeaWiFS 해색위성과 같은 인공위성자료들을 이용하여 부유물 농도, 엽록소 농도 등이 원활하게 생산되고 있으며 최근 연구결과에 의해 염분과 유향성분 등도 추정 및 추출이 가능케 되었으므로 이들 인공위성자료를 이용한 황해와 동 중국해의 해황 변동에 관한 연구를 수행하게 되었다. 특히 2004 년도는 계절변동에 있어서 이상기후의 해라고 점철되고 있다. 2004년 봄철의 폭설과 일시적인 고온현상, 여름철에는 10 년만의 무더위, 겨울철에는 36년만에 가장 포근한 날씨가 지속되었다. 이러한 이상기후의 발생은 해양과 대기의 상호작용에 의해서 기인했을 것이라고 생각되어 한반도 주변 해역에서 황해와 동중국해의 해황변동이 연안 해역의 해황변동과 어떠한 연관성이 존재하고, 이러한 요인들은 2004년도에 발생한 이상기후와 어떤 상관관계를 갖는지 연구하기 위한 기초연구를 진행하였다. 2003년 12월 - 2004년 2월과 2004년 12월 - 2005년 2월에 동일한 시기에 관측된 NOAA 표층수온 분포 영상 자료들을 황해와 동중국해 해역을 중심으로 월별로 비교해보면 2003년 12월 2004년 1월에 관측된 표층수온 분포값보다 2004녀 12월 - 2005년 1월에 관측된 표층수온 분포값이 상대적으로 높은 분포 특성을 나타내고 있었다. 이와 같은 현상은 국립수산과학원의 2004년 10월과 12월의 정선관측자료에서도 나타나고 있었다. 그러나 이와는 반대로 2004년 2월에 관측된 표층수온 분포값보다 2005년 2월에 관측된 표층수온 분포값이 상대적으로 낮은 분포 특성을 나타내고 있었다. 따라서 인공위성자료를 이용한 황해의 2004년 해황 분석 결과는 이상수온 상승의 원인이 쿠로시오 해류의 변동과 관련성이 높다고 판단되며 이에 대한 지속적인 연구가 현재 진행중에 있다.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.16 no.2
• /
• pp.153-159
• /
• 2010

This study looked into changes in catches of anchovy and production of sea mustard(Undaria pinnatifida) in Southern part of East Sea in Korea from 1990 to 2007 out of the fishing industry production statistics of Korea from 1969 to 2007, and then examined the relationship between the productions and the sea temperature. The production of sea mustard(Undaria pinnatifida) decreased when the sea surface temperature was high, as it adversely affected its production, while its production increased when the sea surface temperature was low, as this facilitated its growth.