• 한국지구과학회지
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• 제41권4호
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• pp.356-366
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• 2020

The accuracy of satellite-observed sea surface salinity (SSS) was evaluated in comparison with in-situ salinity measurements from ARGO floats and buoys in the seas around the Korean Peninsula, the northwest Pacific, and the global ocean. Differences in satellite SSS and in-situ measurements (SSS errors) indicated characteristic dependences on geolocation, sea surface temperature (SST), and other oceanic and atmospheric conditions. Overall, the root-mean-square (rms) errors of non-averaged SMOS SSSs ranged from approximately 0.8-1.08 psu for each in-situ salinity dataset consisting of ARGO measurements and non-ARGO data from CTD and buoy measurements in both local seas and the ocean. All SMOS SSSs exhibited characteristic negative bias errors at a range of -0.50- -0.10 psu in the global ocean and the northwest Pacific, respectively. Both rms and bias errors increased to 1.07 psu and -0.17 psu, respectively, in the East Sea. An analysis of the SSS errors indicated dependence on the latitude, SST, and wind speed. The differences of SMOS-derived SSSs from in-situ salinity data tended to be amplified at high latitudes (40-60°N) and high sea water salinity. Wind speeds contributed to the underestimation of SMOS salinity with negative bias compared with in-situ salinity measurements. Continuous and extensive validation of satellite-observed salinity in the local seas around Korea should be further investigated for proper use.

• 대한원격탐사학회지
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• 제38권5_2호
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• pp.747-763
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• 2022

해양 염분은 전 지구 규모에서 해수 순환에 영향을 미칠 뿐만 아니라, 연·근해 지역 저염분수가 어족자원 및 수산업에 피해를 줄 수 있는 등 해양 식생환경의 변화를 줄 수 있다. 해수의 표면 특성인 sea surface salinity (SSS)에 따라 마이크로웨이브 영역의 방사율이 달라지며, 이를 통해 Soil Moisture Active Passive (SMAP) 등 위성 센서를 활용한 SSS 산출물이 제공되고 있다. 하지만 마이크로파 위성 센서 기반의 SSS 산출물은 낮은 시공간해상도로 자료를 생산하며, 연안지역과 고위도 지역에서 정확도가 낮다. 이러한 이유로 연·근해 지역 SSS의 상세한 시공간적 변화를 관측하기에는 적합하지 않다. 본 연구에서는 Jang et al. (2022)에서 제시한 기계학습 기반의 개선된 SMAP SSS (SMAP SSS (Jang))를 참조자료로 활용하여, 정지궤도해색센서(Geostationary Ocean Color Imager, GOCI) 영상으로부터 고해상도 SSS를 추정하는 Light Gradient Boosting Machine (LGBM) 기반의 모델을 개발하였다. 3가지 입력변수 조합을 테스트하였고, Multi-scale Ultra-high Resolution Sea Surface Temperature (SST) 자료가 추가된 scheme 3가 가장 높은 정확도를 보였다(R² = 0.60, RMSE = 0.91 psu). 이를 바탕으로 본 연구영역에서 SST가 SSS 모의에 효과적인 환경변수로 작용함을 보였다. 본 연구에서 제시한 LGBM 기반의 GOCI SSS는 SMAP SSS (Jang)와 비슷한 시공간적 패턴을 보였지만, 더 높은 공간해상도를 바탕으로 SSS의 보다 상세한 공간적 분포와 더불어 SMAP SSS (Jang)에서 산출하지 않는 연안 지역의 정보까지 모의하였다. 또한, 중국 남방지역에 대홍수가 발생하였던 2020년 8월을 대상으로 양자강 유출수(Changjiang Diluted Water)의 거동을 분석한 결과, GOCI SSS는 한국 해양수산연구원의 보도자료와 비교하여 일관성 있는 시공간적 변화를 보였다. 본 연구의 결과로 연안 지역의 저염수 뿐 아니라, 원해 지역에서 광학위성 신호를 활용한 고해상도 SSS 산출의 가능성을 제시하였다.

• 대한원격탐사학회지
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• 제37권5_2호
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• pp.1307-1315
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• 2021

매년 여름철 양자강에서 유출되는 저염분수는 동중국해 뿐만 아니라 제주도 주변 해역의 염분 변화에 큰 영향을 미치며 때때로 그 영향은 한반도 연안에 국한되지 않고 대한해협을 통과하여 동해 외해 까지 확장되기도 한다. 한반도 주변으로 확장된 양자강 유출수는 해양 물리 및 생태학적으로 많은 영향을 끼치며 어업 및 양식업에 큰 피해를 유발하기도 한다. 그러나 현장조사의 한계점 때문에 동중국해에서 확산되는 저염분수를 지속적으로 관측하기에는 현실적으로 어려움이 있다. 이러한 이유로 양자강 유출수의 확산을 실시간으로 모니터링하기 위해 인공위성을 활용한 표층 염분 산출 연구가 많이 진행되어 왔다. 본 연구에서는 시간 및 공간 해상도가 상대적으로 좋은 GOCI(Geostationary Ocean Color Imager)를 활용한 동중국해 표층 염분 산출 알고리즘을 개발하였다. 알고리즘 개발을 위해 기계학습 기법 중 하나인 MPNN(Multilayer Perceptron Neural Network)을 이용하였으며, 출력층에는 SMAP(Soil Moisture Active Passive) 위성의 표층 염분 자료를 활용하였다. 이전 연구에서 2016년 자료를 이용한 표층 염분 산출 알고리즘이 개발되었으나 본 연구에서는 연구 기간을 2015년 부터 2020년까지로 확장하여 알고리즘 성능을 개선하였다. 2011년부터 2019년까지 동중국해에서 관측된 국립수산과학원의 정선조사자료를 이용하여 알고리즘 성능을 검증한 결과로 R²는 0.61과 RMSE는 1.08 psu로 나타났다. 본 연구는 GOCI를 이용한 동중국해 표층 염분 모니터링 알고리즘 개발을 위해 수행되었으며, 향후 GOCI-II의 표층 염분 산출 알고리즘 개발에 많은 기여를 할 것으로 기대된다.

• 한국지구과학회지
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• 제45권4호
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• pp.327-337
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• 2024

The ocean is linked to long-term climate variability, but there are very few methods to assess the short-term performance of forecast models. This study analyzes the short-term prediction performance regarding ocean temperature and salinity of the Global Seasonal prediction system version 5 (GloSea5). GloSea5 is a historical climate re-creation (2001-2010) performed on the 1st, 9th, 17th, and 25th of each month. It comprises three ensembles. High-resolution hindcasts from the three ensembles were compared with the Array for Real-Time Geostrophic Oceanography (ARGO) float data for the period 2001-2010. The horizontal position was preprocessed to match the ARGO float data and the vertical layer to the GloSea5 data. The root mean square error (RMSE), Brier Score (BS), and Brier Skill Score (BSS) were calculated for short-term forecast periods with a lead-time of 10 days. The results show that sea surface temperature (SST) has a large RMSE in the western boundary current region in Pacific and Atlantic Oceans and Antarctic Circumpolar Current region, and sea surface salinity (SSS) has significant errors in the tropics with high precipitation, with both variables having the largest errors in the Atlantic. SST and SSS had larger errors during the fall for the NINO3.4 region and during the summer for the East Sea. Computing the BS and BSS for ocean temperature and salinity in the NINO3.4 region revealed that forecast skill decreases with increasing lead-time for SST, but not for SSS. The preprocessing of GloSea5 forecasts to match the ARGO float data applied in this study, and the evaluation methods for forecast models using the BS and BSS, could be applied to evaluate other forecast models and/or variables.

• Fisheries and Aquatic Sciences
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• 제10권3호
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• pp.133-142
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• 2007

To investigate conditions for the survival and growth of Dungeness crab zoeae in situ, spatial and monthly changes of sea surface temperature (SST), sea surface salinity (SSS), Chlorophyll ${\alpha}$ (Chl ${\alpha}$), and zooplankton biomass were measured in four transects: upper Chatham, Icy Strait, Cross Sound, and Icy Point in southeastern Alaska from May to September, 1997-2004. Monthly mean SST was coldest in May, increased throughout the summer months, and decreased in September. SST was coldest in the Cross Sound transect, intermediate in the upper Chatham and Icy Strait transects, and warmest in the Icy Point transect. SSS of northern stations in the upper Chatham and Icy Strait transects decreased throughout the summer months and increased in September, while that of other transects did not vary. Monthly mean Chl ${\alpha}$ was highest in May and decreased thereafter. Chl ${\alpha}$ in the upper Chatham and Icy Strait transects were relatively higher from May through September than those in the Cross Sound and Icy Point transects. Mean zooplankton biomass was highest in the Icy Strait transect in May and lowest in the Icy Point transect in September. This research suggests that oceanographic conditions during the season of Dungeness crab zoeae in southeastern Alaska may not constrain the survival and growth of Dungeness crab zoeae.

• 한국지구과학회지
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• 제26권7호
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• pp.714-724
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• 2005

The East Sea, a semi-enclosed marginal sea with shallow straits in the northwest Pacific, is marked by the nearly geographic isolation and the low sea surface salinity during the last glacial maximum (LGM). The East Sea might have the only connection to the open ocean through the Korea Strait with a sill depth of 130 m, allowing the paleo-Tsushima Water to enter the sea during the LGM. The low paleosalinity associated with abnormally light $\delta^{18}O$ values of planktonic foraminifera is interpreted to have resulted from river discharge and precipitation. Nevertheless, two LGM features in the East Sea are disputable. This study attempts to estimate volume transport of the paleo-Tsushima Water via the Korea Strait and further examines its effect on the low sea surface salinity (SSS) during the lowest sea level of the LGM. The East Sea was not completely isolated, but partially linked to the northern East China Sea through the Korea Strait during the LGM. The volume transport of the paleo-Tsushima Water during the LGM is calculated approximately$(0.5\~2.1)\times10^{12}m^3/yr$ on the basis of the selected seismic reflection profiles along with bathymetry and current data. The annual influx of the paleo-Tsushima Water is low, compared to the 100 m-thick surface water volume $(about\;79.75\times10^{12}m^3)$ in the East Sea. The paleo-Tsushima Water influx might have changed the surface water properties within a geologically short time, potentially decreasing sea surface salinity. However, the effect of volume transport on the low sea surface salinity essentially depends on freshwater amounts within the paleo-Tsushima Water and excessive evaporation during the glacial lowstands of sea level. Even though the paleo-Tsushima Water is assumed to have been entirely freshwater at that time period, it would annually reduce only about 1‰ of salinity in the surface water of the East Sea. Thus, the paleo-Tsushima Water influx itself might not be large enough to significantly reduce the paleosalinity of about 100 m-thick surface layer during the LGM. This further suggests contribution of additional river discharges from nearby fluvial systems (e.g. the Amur River) to freshen the surface water.

• 대한원격탐사학회지
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• 제23권3호
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• pp.161-169
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• 2007

A study was conducted in the Hong Kong with the aim of deriving an algorithm for the retrieval of suspended sediment (SS) and sea surface salinity (SSS) concentrations from Aqua/MODIS level 1B reflectance data with 250m and 500m spatial resolutions. 'In-situ' measurements of SS and SSS were also compared with coincident MODIS spectral reflectance measurements over the ocean surface. This is the first study of SSS modeling in Southeast Asia using earth observation satellite images. Three analysis techniques such as multiple regression, linear regression, and principal component analysis (PCA) were performed on the MODIS data and the 'in-situ' measurement datasets of the SS and SSS. Correlation coefficients by each analysis method shows that the best correlation results are multiple regression from the 500m spatial resolution MODIS images, $R^2$= 0.82 for SS and $R^2$ = 0.81 for SSS. The Root Mean Square Error (RMSE) between satellite and 'in-situ' data are 0.92mg/L for SS and 1.63psu for SSS, respectively. These suggest that 500m spatial resolution MODIS data are suitable for water quality modeling in the study area. Furthermore, the application of these models to MODIS images of the Hong Kong and Pearl River Delta (PRO) Region are able to accurately reproduce the spatial distribution map of the high turbidity with realistic SS concentrations.

• Ocean and Polar Research
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• 제38권4호
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• pp.259-270
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• 2016

Sea Surface Salinity (SSS) observations from the Aquarius satellite in the East Sea show large systematic biases mainly caused by the surrounding lands and Radio Frequency Interferences (RFI) along the descending orbits on which the satellite travels from the Asian continent to the East Sea. To develop a technique for correcting the systematic biases unique to the East Sea, the least square regression between in situ observations of salinity and the reanalyzed salinities by HYCOM is first performed. Then monthly mean reanalyzed salinities fitted to the in situ salinities are compared with monthly mean Aquarius salinities to calculate mean biases in $1^{\circ}{\times}1^{\circ}$ boxes. Mean biases in winter (December-March) are found to be considerably larger than those in other seasons possibly caused by the inadequate correction of surface roughness in the sea surrounded by the land, and thus the mean bias corrections are performed using two bias tables. Large negative biases are found in the area near the coast of Japan and in the areas with islands. In the northern East Sea, data sets using the ascending orbit only (SCIA) are chosen for correction because of large RFI errors on the descending orbit (SCID). Resulting mean biases between the reanalysis salinities fitted to in situ observations and the bias corrected Aquarius salinities are less than 0.2 psu in all areas. The corrected mean salinity distributions in March and September demonstrate marked improvements when compared with mean salinities from the World Ocean Atlas (WOA [2005-2012]). In September, salinity distributions based on the corrected Aquarius and on the WOA (2005-2012) show similar distributions of Changjiang Diluted Water (CDW) in the East Sea.

• 해양환경안전학회지
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• 제12권1호
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• pp.23-32
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• 2006

동계 서해에서 해황과 기상인자와의 상호 관련성에 대해서 조사하였다. 수온의 수평분포는 수심이 얕은 연악역이 외해역보다 저수온으로 12월과 2월사이에 외해역에서 $3^{\circ}C$, 연안역에서는 $6^{\circ}C$ 정도의 큰 수온 하강을 보였다. 염분의 분포는 북쪽해역이 연안역과 남쪽해역보다 저농도를 보였다. 또한, 하계에 남북방향으로 형성되었던 등염선이 동계에는 북서에서 남동 방향으로 형성한다. 한국 서해연안의 기온과 연안의 표층수온 사이에는 기온이 상승하면 수온이 상승하고 기온이 하강하면 수온도 하강하는 정의 상관관계를 보인다. 서해 외해의 표층수온은 잠열속과 현열속에 의한 해양에서의 방출열량과 역의 상관관계를 보인다. 동계 서해 연안지역 기온과 연안역 표층염분과의 관계는 기온이 상승하면 연안역의 염분이 증가하고, 수온이 하강하면 염분이 낮아지는 정의 상관관계를 보인다. 또한 서해의 하계($6{\sim}9$월) 강수량은 10월과 12월보다 다음해 동계 2월의 염분분포에 크게 영향을 미치고 있다.

• Ocean and Polar Research
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• 제24권2호
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• pp.135-146
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• 2002

The upper ocean in the western equatorial Pacific warm pool during TOGA-COARE IMET IOP was simulated using a one-dimensional turbulence closure ocean mixed-layer model, which considered recent observations, such as the remarkable enhancement of turbulent kinetic energy near the ocean surface. The shoaling/deepening of the mixed layer and warming/cooling subsurface water in the model were in reasonable agreement with the observations. There was a significant improvement in simulating the cooling trend of the sea surface temperature under a westerly wind burst with heavy rainfall over previous simulations using bulk mixed-layer models. By contrast the simulated sea surface salinity (SSS) departed significantly from the observed SSS, especially during a westerly burst and the subsequent restratification period, which might be due to 3-D control processes, such as downwelling/upwelling or advection.