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Correlation between SST and CDOM during Summer Coastal Upwelling along the Southeast Coast of Korea
Abstract
Min, S.-H.; Park, M.-O.; Kim, S.-W.; Han, I-S.; Kim, W., and Park, Y-J., 2018. Using GOCI Data for Detection of Coastal Upwelling at East/Japan Sea. In: Shim, J.-S.; Chun, I., and Lim, H.S. (eds.), Proceedings from the International Coastal Symposium (ICS) 2018 (Busan, Republic of Korea). Journal of Coastal Research, Special Issue No. 85, pp. 1471–1475. Coconut Creek (Florida), ISSN 0749-0208.
Recently emergence of cold water from coastal upwelling has caused frequent damages to the coastal aquaculture along the southeast coast of Korea. So, the necessity of early forecasting of cold water using satellite data has emerged. Coastal upwelling generally detected by meteorological satellites of sea surface temperature (SST) data. However, this study tries to seek a possibility of use of ocean color satellite data to find the cold water, by Chromophoric dissolved organic matter (CDOM) concentration of upwelled cold water. The concentration of CDOM will change if coastal upwelling occurs. That could be observed through the ocean color sensor. 2017 summer, SST and CDOM concentrations in the in-situ and satellite data were matched up, when coastal upwelling occurred. As a result, SST and CDOM were correlated positively in coastal area, meanwhile negative correlation was found in off shore. When upwelling occurs, it is considered that high concentration of CDOM on the coast and subsurface flow to the off shore along with cold middle water, and then relatively low CDOM is supplied.
... In addition to the above main water quality parameters, scholars have also conducted research on CDOM, POC, DOC, NPP, SSS, SSCs, sea ice, sea fog, lake ice, , and other parameters. CDOM is the main constituent of dissolved organic matter (DOM) and a key indicator of water quality conditions [183][184][185]. Based on QAA and QAA_CDOM, [186] developed a new algorithm named QAA_cj to estimate CDOM concentration. ...
In recent decades, as eutrophication in inland and coastal waters (ICWs) has increased due to anthropogenic activities and global warming, so has the need for timely monitoring. Compared with traditional sampling and laboratory analysis methods, satellite remote sensing technology can provide macro-scale, low-cost, and near real-time water quality monitoring services. The Geostationary Ocean Color Imager (GOCI), integrated onboard the Communication Ocean and Meteorological Satellite (COMS) from the Republic of Korea, was the first geostationary ocean color observation satellite and was operational from April 1, 2011 to March 31, 2021. Over ten years, GOCI has observed oceans, coastal waters, and inland waters within its 2,500 km×2,500 km target area centered on the Korean Peninsula. The most attractive feature of GOCI, compared with other commonly used watercolor sensors, was its high temporal resolution (1h, eight times daily from 0 UTC to 7 UTC), providing the opportunity to monitor the quality of ICWs, where optical properties can change rapidly throughout the day. This systematic review aims to comprehensively review GOCI features and applications in ICWs, analyzing progress in atmospheric correction algorithms and water quality monitoring. Analyzing 123 articles from the Web of Science and China National Knowledge Infrastructure (CNKI) through a bibliometric quantitative approach, we examined GOCI’s strength and performance with different processing methods. These articles reveal that GOCI played an essential role in monitoring the ecological health of ICWs in its observation area in East Asia. GOCI has led the way to a new era of geostationary ocean satellites, providing new technical means for monitoring water quality in oceans, coastal zones, and inland lakes. We also discuss the challenges encountered by geostationary satellites in monitoring water quality and provide suggestions for improvements.
... Concentrations of DOC in the coastal surface ocean typically range from several hundred μmol L -1 near rivers and wetlands, to as low as ~60 μmol L -1 at the shelf break (Fichot and Benner, 2011;Mannino et al., 2008;Massicotte et al., 2017). Coastal DOC dynamics are primarily driven by terrigenous inputs from rivers and wetlands and surface autochthonous inputs cascading from primary production (Cauwet, 2002), although deep water brought up to the surface by coastal upwelling (Bif et al., 2018;Min et al., 2018;Wu et al., 2017), groundwater inputs (Connolly et al., 2020;Webb et al., 2019), and injection of sediment porewater by diffusion and/or resuspension events (Boss et al., 2001), and anthropogenic inputs (e.g., effluent) in urban systems (Harringmeyer et al., 2021) can also contribute to the variability. Complex coastal physical processes transport and mix these different contributions of DOC and further complicate the dynamics. ...
In recent decades, eutrophication in inland and coastal waters (ICWs) has increased due to anthropogenic activities and global warming, thus requiring timely monitoring. Compared with traditional sampling and laboratory analysis methods, satellite remote sensing technology can provide macro-scale, low-cost, and near real-time water quality monitoring services. The Geostationary Ocean Color Imager (GOCI), aboard the Communication Ocean and Meteorological Satellite (COMS) from the Republic of Korea, marked a significant milestone as the world’s inaugural geostationary ocean color observation satellite. Its operational tenure spanned from 1 April 2011 to 31 March 2021. Over ten years, the GOCI has observed oceans, coastal waters, and inland waters within its 2500 km × 2500 km target area centered on the Korean Peninsula. The most attractive feature of the GOCI, compared with other commonly used water color sensors, was its high temporal resolution (1 h, eight times daily from 0 UTC to 7 UTC), providing an opportunity to monitor ICWs, where their water quality can undergo significant changes within a day. This study aims to comprehensively review GOCI features and applications in ICWs, analyzing progress in atmospheric correction algorithms and water quality monitoring. Analyzing 123 articles from the Web of Science and China National Knowledge Infrastructure (CNKI) through a bibliometric quantitative approach, we examined the GOCI’s strength and performance with different processing methods. These articles reveal that the GOCI played an essential role in monitoring the ecological health of ICWs in its observation coverage (2500 km × 2500 km) in East Asia. The GOCI has led the way to a new era of geostationary ocean satellites, providing new technical means for monitoring water quality in oceans, coastal zones, and inland lakes. We also discuss the challenges encountered by Geostationary Ocean Color Sensors in monitoring water quality and provide suggestions for future Geostationary Ocean Color Sensors to better monitor the ICWs.
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