On Kuroshio front fluctuations in the East China Sea using satellite and in situ observational data

1990 ◽  
Vol 95 (C10) ◽  
pp. 18191 ◽  
Author(s):  
Bo Qiu ◽  
Takashi Toda ◽  
Norihisa Imasato
2019 ◽  
Vol 4 (2) ◽  
pp. 74-79
Author(s):  
Qingsong Hu ◽  
Ning Bao ◽  
Hafiz Abdur Rahman ◽  
Yazhou Jiang ◽  
Shouyu Zhang ◽  
...  

2016 ◽  
Vol 121 (9) ◽  
pp. 7192-7211 ◽  
Author(s):  
Ruibin Ding ◽  
Daji Huang ◽  
Jiliang Xuan ◽  
Bernhard Mayer ◽  
Feng Zhou ◽  
...  

1988 ◽  
Vol 44 (3) ◽  
pp. 125-135 ◽  
Author(s):  
Takashige Sugimoto ◽  
Shingo Kimura ◽  
Kuniaki Miyaji

2010 ◽  
Vol 45 (3) ◽  
pp. 159-170 ◽  
Author(s):  
Eun Jin Kim ◽  
Sok Kuh Kang ◽  
Sung-Tae Jang ◽  
Jae Hak Lee ◽  
Young Ho Kim ◽  
...  

2021 ◽  
Vol 13 (14) ◽  
pp. 2676
Author(s):  
Jong-Kuk Choi ◽  
Young-Baek Son ◽  
Myung-Sook Park ◽  
Deuk-Jae Hwang ◽  
Jae-Hyun Ahn ◽  
...  

During the summer season, low-salinity water (LSW) inputs from the Changjiang River are observed as filamentous or lens-like features in the East China Sea. Sea surface salinity (SSS) is an important factor in ocean science, and is used to estimate oceanic carbon fluxes, trace red tides, and calculate other physical processes at the surface. In this study, a proxy was developed using remote sensing reflectance (Rrs) from the Geostationary Ocean Color Imager (GOCI) centered at 490 nm (band 3), 555 nm (band 4), 660 nm (band 5), and 680 nm (band 6), and salinity (data from summer cruises during the period of 2011–2016). It was then validated to map LSW plumes in the East China Sea. The GOCI-derived surface salinity was determined by the empirical relationships between Rrs at the four bands and in situ wave glider SSS data (August 2016), and was validated with synchronous in situ hydrographic SSS data (August 2011, 2012, 2013, and 2016). The GOCI-derived SSS was considered reliable in terms of the validation with the in situ measurement with a high coefficient of determination along with a low RMSE (R2 = 0.803, RMSE = 0.914, N = 21), and in comparisons with two previous models that were used to derive SSS in the East China Sea. The GOCI-derived SSS was successfully used to examine time-series variations on diurnal and daily scales, and the effects of a typhoon in terms of marine physical and biological properties in combination with the chlorophyll-a concentration and sea surface temperature.


2012 ◽  
Vol 48 (3) ◽  
pp. 256-268 ◽  
Author(s):  
Eun-A Yoon ◽  
Doo-Jin Hwang ◽  
Hyeong-Ho Shin ◽  
Du-Seong Gwa ◽  
Cheol-Pyo Cha

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