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http://dx.doi.org/10.7780/kjrs.2021.37.5.2.8

A Development for Sea Surface Salinity Algorithm Using GOCI in the East China Sea  

Kim, Dae-Won (Division of Earth Environmental System, Major of Oceanography, Pusan National University)
Kim, So-Hyun (Division of Earth Environmental System, Major of Oceanography, Pusan National University)
Jo, Young-Heon (Department of Oceanography, Pusan National University)
Publication Information
Korean Journal of Remote Sensing / v.37, no.5_2, 2021 , pp. 1307-1315 More about this Journal
Abstract
The Changjiang Diluted Water (CDW) spreads over the East China Sea every summer and significantly affects the sea surface salinity changes in the seas around Jeju Island and the southern coast of Korea peninsula. Sometimes its effect extends to the eastern coast of Korea peninsula through the Korea Strait. Specifically, the CDW has a significant impact on marine physics and ecology and causes damage to fisheries and aquaculture. However, due to the limited field surveys, continuous observation of the CDW in the East China Sea is practically difficult. Many studies have been conducted using satellite measurements to monitor CDW distribution in near-real time. In this study, an algorithm for estimating Sea Surface Salinity (SSS) in the East China Sea was developed using the Geostationary Ocean Color Imager (GOCI). The Multilayer Perceptron Neural Network (MPNN) method was employed for developing an algorithm, and Soil Moisture Active Passive (SMAP) SSS data was selected for the output. In the previous study, an algorithm for estimating SSS using GOCI was trained by 2016 observation data. By comparison, the train data period was extended from 2015 to 2020 to improve the algorithm performance. The validation results with the National Institute of Fisheries Science (NIFS) serial oceanographic observation data from 2011 to 2019 show 0.61 of coefficient of determination (R2) and 1.08 psu of Root Mean Square Errors (RMSE). This study was carried out to develop an algorithm for monitoring the surface salinity of the East China Sea using GOCI and is expected to contribute to the development of the algorithm for estimating SSS by using GOCI-II.
Keywords
Sea surface salinity; GOCI; GOCI-II; Changjiang Diluted Water; Deep Learning;
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1 Lee, M.S., K.A. Park, J.E. Moon, W. Kim, and Y.J. Park, 2019. Spatial and temporal characteristics and removal methodology of suspended particulate matter speckles from Geostationary Ocean Color Imager data, International Journal of Remote Sensing, 40(10): 3808-3834.   DOI
2 Kim, D.W., Y.J. Park, J.Y. Jeong, and Y.H. Jo, 2020. Estimation of Hourly Sea Surface Salinity in the East China Sea Using Geostationary Ocean Color Imager Measurements, Remote Sensing, 12(5): 755.   DOI
3 Sun, D., X. Su, Z. Qiu, S. Wang, Z. Mao, and Y. He, 2019. Remote Sensing Estimation of Sea Surface Salinity from GOCI Measurements in the Southern Yellow Sea, Remote Sensing, 11(7): 775.   DOI
4 Wei, J., Z. Lee, and S. Shang, 2016. A system to measure the data quality of spectral remote-sensing reflectance of aquatic environments. Journal of Geophysical Research: Oceans, 121(11): 8189-8207.   DOI
5 Yoon, H.J. and H.K. Cho, 2005. A study on the diluted water from the Yangtze River in the East China Sea using satellite data, Journal of the Korean Association of Geographic Information Studies, 8(4): 33-43 (in Korean with English abstract).
6 Zhou, F., J.L. Xuan, X.B. Ni, and D.J. Huang, 2009. A preliminary study of variations of the Changjiang Diluted Water between August of 1999 and 2006, Acta Oceanologica Sinica, 28(6): 1-11.   DOI
7 Suh, Y.S., L.H. Jang, and N.K. Lee, 2004. Detection of low salinity water in the northern East China Sea during summer using ocean color remote sensing, Korean Journal of Remote Sensing, 20(3): 153-162 (in Korean with English abstract).   DOI
8 Ahn, Y.H., P. Shanmugam, J.E. Moon, and J.H. Ryu, 2008. Satellite remote sensing of a low-salinity water plume in the East China Sea, In Annales Geophysicae, 26(7): 2019-2035.   DOI
9 Binding, C.E. and D.G. Bowers, 2003. Measuring the salinity of the Clyde Sea from remotely sensed ocean colour, Estuarine, Coastal and Shelf Science, 57(4): 605-611.   DOI
10 Chen, C., J. Zhu, R.C. Beardsley, and P.J. Franks, 2003. Physical-biological sources for dense algal blooms near the Changjiang River, Geophysical Research Letters, 30(10): 22_1-22_4.
11 Liu, R., J. Zhang, H. Yao, T. Cui, N. Wang, Y. Zhang, L. Wu, and J. An, 2017. Hourly changes in sea surface salinity in coastal waters recorded by Geostationary Ocean Color Imager, Estuarine, Coastal and Shelf Science, 196: 227-236.   DOI
12 Bai, Y., D. Pan, W.J. Cai, X. He, D. Wang, B. Tao, and Q. Zhu, 2013. Remote sensing of salinity from satellite-derived CDOM in the Changjiang River dominated East China Sea, Journal of Geophysical Research: Oceans, 118(1): 227-243.   DOI
13 Chen, R.F., 1999. In situ fluorescence measurements in coastal waters, Organic Geochemistry, 30(6): 397-409.   DOI
14 Del Vecchio, R. and N.V. Blough, 2004. Spatial and seasonal distribution of chromophoric dissolved organic matter and dissolved organic carbon in the Middle Atlantic Bight, Marine Chemistry, 89(1-4): 169-187.   DOI
15 Geiger, E.F., M.D. Grossi, A.C. Trembanis, J.T. Kohut, and M.J. Oliver, 2013. Satellite-derived coastal ocean and estuarine salinity in the Mid-Atlantic, Continental Shelf Research, 63: 235-242.
16 KHOA(Korea Hydrographic and Oceanographic Agency), 2016. High sea temperature phenomenon of August 2016, Unusual ocean analysis report; Busan, KR, 2016 (in Korean).
17 Lee, N.K., Y.S. Suh, and Y.S. Kim, 2003. Satellite remote sensing to monitor seasonal horizontal distribution of resuspended sediments in the East China Sea, Journal of the Korean Association of Geographic Information Studies, 6(3): 151-161 (in Korean with English abstract).
18 Kim, H.C., H. Yamaguchi, S. Yoo, J. Zhu, K. Okamura, Y. Kiyomoto, K. Tanaka, S.-W. Kim, T.W. Park, I.S. Oh, and, J. Ishizaka, 2009. Distribution of Changjiang diluted water detected by satellite chlorophyll-a and its interannual variation during 1998-2007, Journal of Oceanography, 65(1): 129-135.   DOI
19 Kim, S.B., J.H. Lee, P. de Matthaeis, S. Yueh, C.S. Hong, J.H. Lee, and G. Lagerloef, 2014. Sea surface salinity variability in the East China Sea observed by the Aquarius instrument, Journal of Geophysical Research: Oceans, 119(10): 7016-7028.   DOI
20 Lee, D.K., J.I. Kwon, and S. Son, 2015. Horizontal distribution of Changjiang Diluted Water in summer inferred from total suspended sediment in the Yellow Sea and East China Sea, Acta Oceanologica Sinica, 34(12): 44-50.   DOI
21 Moon, J.H., N. Hirose, J.H. Yoon, and I.C. Pang, 2010. Offshore detachment process of the low-salinity water around Changjiang Bank in the East China Sea, Journal of Physical Oceanography, 40(5): 1035-1053.   DOI
22 Moon, J.H., T. Kim, Y.B. Son, J.S. Hong, J.H. Lee, P.H. Chang, and S.K. Kim, 2019. Contribution of low-salinity water to sea surface warming of the East China Sea in the summer of 2016, Progress in Oceanography, 175: 68-80.   DOI
23 Moon, J.H., I.C. Pang, and J.H. Yoon, 2009. Response of the Changjiang diluted water around Jeju Island to external forcings: A modeling study of 2002 and 2006, Continental Shelf Research, 29(13): 1549-1564.   DOI
24 Sasaki, H., E. Siswanto, K. Nishiuchi, K. Tanaka, T. Hasegawa, and J. Ishizaka, 2008. Mapping the low salinity Changjiang Diluted Water using satellite-retrieved colored dissolved organic matter (CDOM) in the East China Sea during high river flow season, Geophysical Research Letters, 35(4): L04604.   DOI
25 Park, J.-J., K.-A. Park, H.-Y. Kim, E. Lee, D.-S. Byun, and K.-Y. Jeong, 2020. Validation of Satellite SMAP Sea Surface Salinity using Ieodo Ocean Research Station Data, Journal of the Korean Earth Science Society, 41(5): 469-477 (in Korean with English abstract).   DOI