Diurnal Variability of Turbidity Fronts Observed by Geostationary Satellite Ocean Color Remote Sensing

被引:38
|
作者
Hu, Zifeng [1 ,2 ,3 ]
Pan, Delu [1 ]
He, Xianqiang [1 ]
Bai, Yan [1 ]
机构
[1] State Ocean Adm, Inst Oceanog 2, State Key Lab Satellite Ocean Environm Dynam, 36 North Bao Chu Rd, Hangzhou 310012, Zhejiang, Peoples R China
[2] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, 164 Xingangxi Rd, Guangzhou 510301, Guangdong, Peoples R China
[3] Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China
基金
中国国家自然科学基金;
关键词
GOCI; turbidity front; entropy-based algorithm; sea surface currents; SURFACE TEMPERATURE FRONTS; EAST CHINA SEA; SUSPENDED SEDIMENT CONCENTRATION; YELLOW SEA; EDGE-DETECTION; SEASONAL VARIABILITY; SPATIAL VARIABILITY; TEMPORAL VARIATION; CONTINENTAL-SHELF; COASTAL WATERS;
D O I
10.3390/rs8020147
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Monitoring front dynamics is essential for studying the ocean's physical and biogeochemical processes. However, the diurnal displacement of fronts remains unclear because of limited in situ observations. Using the hourly satellite imageries from the Geostationary Ocean Color Imager (GOCI) with a spatial resolution of 500 m, we investigated the diurnal displacement of turbidity fronts in both the northern Jiangsu shoal water (NJSW) and the southwestern Korean coastal water (SKCW) in the Yellow Sea (YS). The hourly turbidity fronts were retrieved from the GOCI-derived total suspended matter using the entropy-based algorithm. The results showed that the entropy-based algorithm could provide fine structure and clearly temporal evolution of turbidity fronts. Moreover, the diurnal displacement of turbidity fronts in NJSW can be up to 10.3 km in response to the onshore-offshore movements of tidal currents, much larger than it is in SKCW (around 4.7 km). The discrepancy between NJSW and SKCW are mainly caused by tidal current direction relative to the coastlines. Our results revealed the significant diurnal displacement of turbidity fronts, and highlighted the feasibility of using geostationary ocean color remote sensing technique to monitor the short-term frontal variability, which may contribute to understanding of the sediment dynamics and the coupling physical-biogeochemical processes.
引用
收藏
页数:15
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