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

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.

[1]  Shuangyan He,et al.  Double SST fronts observed from MODIS data in the East China Sea off the Zhejiang–Fujian coast, China , 2016 .

[2]  Wonkook Kim,et al.  Vicarious calibration of the Geostationary Ocean Color Imager. , 2015, Optics express.

[3]  A. Piola,et al.  On the variability of tidal fronts on a macrotidal continental shelf, Northern Patagonia, Argentina , 2015 .

[4]  Yi Chang,et al.  A comparison of satellite-derived sea surface temperature fronts using two edge detection algorithms , 2015 .

[5]  Peter I. Miller,et al.  Seasonal shelf-sea front mapping using satellite ocean colour and temperature to support development of a marine protected area network , 2015 .

[6]  J. Jolliff,et al.  Estimating Advective Near-surface Currents from Ocean Color Satellite Images , 2015 .

[7]  K. Moffett,et al.  Remote Sens , 2015 .

[8]  Yan Bai,et al.  Intrusion of the Pearl River plume into the main channel of the Taiwan Strait in summer , 2015 .

[9]  P. I. Miller,et al.  REVIEW: On the Front Line: frontal zones as priority at‐sea conservation areas for mobile marine vertebrates , 2014 .

[10]  Moncho Gómez-Gesteira,et al.  Observation of a turbid plume using MODIS imagery: The case of Douro estuary (Portugal) , 2014 .

[11]  Yan Bai,et al.  Summertime Changjiang River plume variation during 1998–2010 , 2014 .

[12]  C. Chen,et al.  Satellite views of the episodic terrestrial material transport to the southern Okinawa Trough driven by typhoon , 2014 .

[13]  J. Ryu,et al.  Application of the Geostationary Ocean Color Imager (GOCI) to estimates of ocean surface currents , 2014 .

[14]  J. Ryu,et al.  Monitoring changes in suspended sediment concentration on the southwestern coast of Korea , 2014 .

[15]  Kwang-Soon Park,et al.  Characterization of spatial and temporal variation of suspended sediments in the Yellow and East China Seas using satellite ocean color data , 2014 .

[16]  Xiulin Lou,et al.  Diurnal changes of a harmful algal bloom in the East China Sea: Observations from GOCI , 2014 .

[17]  Jong-Kuk Choi,et al.  Quantitative estimation of suspended sediment movements in coastal region using GOCI , 2013 .

[18]  P. I. Miller,et al.  Thermal front variability along the North Atlantic Current observed using microwave and infrared satellite data , 2013 .

[19]  X. H. Wang,et al.  Modeling studies of the far-field effects of tidal flat reclamation on tidal dynamics in the East China Seas , 2013 .

[20]  Wei Li,et al.  Distributions of suspended sediment concentration in the Yellow Sea and the East China Sea based on field surveys during the four seasons of 2011 , 2013 .

[21]  C. Chen,et al.  Using geostationary satellite ocean color data to map the diurnal dynamics of suspended particulate matter in coastal waters , 2013 .

[22]  Jae-Eun Kim.  Land use management and cultural value of ecosystem services in Southwestern Korean islands , 2013 .

[23]  W. Emery,et al.  Winter and spring surface velocity fields in the Cape Blanc region as deduced with the maximum cross-correlation technique , 2013 .

[24]  Yan Bai,et al.  Remote sensing of salinity from satellite-derived CDOM in the Changjiang River dominated East China Sea , 2013 .

[25]  A. Jabbar,et al.  Variability of River Plume signature determined using satellite images , 2013 .

[26]  J. Ryu,et al.  Development of atmospheric correction algorithm for Geostationary Ocean Color Imager (GOCI) , 2012, Ocean Science Journal.

[27]  Jeong-Eon Moon,et al.  Initial validation of GOCI water products against in situ data collected around Korean peninsula for 2010–2011 , 2012, Ocean Science Journal.

[28]  Kevin Ruddick,et al.  Diurnal variability of turbidity and light attenuation in the southern North Sea from the SEVIRI geostationary sensor , 2012 .

[29]  Jong-Kuk Choi,et al.  GOCI, the world's first geostationary ocean color observation satellite, for the monitoring of temporal variability in coastal water turbidity , 2012 .

[30]  Gonzalo S. Saldías,et al.  Seasonal variability of turbid river plumes off central Chile based on high-resolution MODIS imagery , 2012 .

[31]  Ming Li,et al.  Effects of tides on freshwater and volume transports in the Changjiang River plume , 2012 .

[32]  H. Kawamura,et al.  Study on SST front disappearance in the subtropical North Pacific using microwave SSTs , 2012, Journal of Oceanography.

[33]  Sam McClatchie,et al.  Resolution of fine biological structure including small narcomedusae across a front in the Southern California Bight , 2012 .

[34]  J. Hopkins,et al.  Scales and structure of frontal adjustment and freshwater export in a region of freshwater influence , 2012, Ocean Dynamics.

[35]  J. R. Taylor,et al.  Ocean fronts trigger high latitude phytoplankton blooms , 2011 .

[36]  Sang-Woo Kim,et al.  Empirical ocean-color algorithms to retrieve chlorophyll-a, total suspended matter, and colored dissolved organic matter absorption coefficient in the Yellow and East China Seas , 2011 .

[37]  W. Guan,et al.  Sediment transport in the Yellow Sea and East China Sea , 2011 .

[38]  Fang Gong,et al.  The turbidity maxima of the northern Jiangsu shoal-water in the Yellow Sea, China , 2011 .

[39]  Kang Yanyan.  Spatial layout of reclamation of coastal tidal flats in Jiangsu Province , 2011 .

[40]  Jong-Kuk Choi,et al.  Temporal variation in Korean coastal waters using Geostationary Ocean Color Imager , 2011 .

[41]  Yi Chang,et al.  Fine-scale sea surface temperature fronts in wintertime in the northern South China Sea , 2010 .

[42]  Daji Huang,et al.  Sea-surface temperature fronts in the Yellow and East China Seas from TRMM microwave imager data , 2010 .

[43]  C. Chen,et al.  Chemical and physical fronts in the Bohai, Yellow and East China seas , 2009 .

[44]  P. I. Miller.  Composite front maps for improved visibility of dynamic sea-surface features on cloudy SeaWiFS and AVHRR data , 2009 .

[45]  John E. O'Reilly,et al.  An algorithm for oceanic front detection in chlorophyll and SST satellite imagery , 2009 .

[46]  B. Nechad,et al.  Mapping total suspended matter from geostationary satellites: a feasibility study with SEVIRI in the Southern North Sea. , 2009, Optics express.

[47]  H. Kawamura,et al.  Summertime sea surface temperature fronts associated with upwelling around the Taiwan Bank , 2009 .

[48]  Peter Cornillon,et al.  Fronts in Large Marine Ecosystems , 2009 .

[49]  André Valente,et al.  On the observability of the fortnightly cycle of the Tagus estuary turbid plume using MODIS ocean colour images , 2009 .

[50]  Kohji Iida,et al.  Satellite-measured temporal and spatial variability of the Tokachi River plume , 2008 .

[51]  F. Muller‐Karger,et al.  Satellite remote sensing of surface oceanic fronts in coastal waters off west–central Florida , 2008 .

[52]  Chunyan Li,et al.  Cross-shelf circulation in the Yellow and East China Seas indicated by MODIS satellite observations , 2008 .

[53]  Marco Zavatarelli,et al.  Effects of resuspended sediments and vertical mixing on phytoplankton spring bloom dynamics in a tidal estuarine embayment , 2007 .

[54]  H. Kawamura,et al.  Wintertime sea surface temperature fronts in the Taiwan Strait , 2006 .

[55]  Xiao‐Hai Yan,et al.  Tracking of a Chesapeake Bay estuarine outflow plume with satellite-based ocean color data , 2005 .

[56]  Teruhisa Shimada,et al.  Application of an edge detection method to satellite images for distinguishing sea surface temperature fronts near the Japanese coast , 2005 .

[57]  D. Ullman,et al.  Variability in chlorophyll and sea surface temperature fronts in the Long Island Sound outflow region from satellite observations , 2004 .

[58]  J. Yoder,et al.  Spatial variability in SeaWiFS imagery of the South Atlantic bight as evidenced by gradients (fronts , 2004 .

[59]  P. I. Miller.  Multi-spectral front maps for automatic detection of ocean colour features from SeaWiFS , 2004 .

[60]  P. Holloway,et al.  Tidal characteristic adjustment due to dyke and seawall construction in the Mokpo Coastal Zone, Korea , 2004 .

[61]  W. Liu,et al.  Air‐sea interaction at an oceanic front: Implications for frontogenesis and primary production , 2003 .

[62]  Peter Cornillon,et al.  SST fronts of the Pacific coastal and marginal seas , 2003 .

[63]  Computation methods of major tidal currents from satellite‐tracked drifter positions, with application to the Yellow and East China Seas , 2002 .

[64]  Peter Cornillon,et al.  Climatology and seasonal variability of ocean fronts in the East China, Yellow and Bohai seas from satellite SST data , 2000 .

[65]  Florent Lyard,et al.  How can we improve a global ocean tide model at a regional scale? A test on the Yellow Sea and the East China Sea , 2000 .

[66]  A. Kasai,et al.  Density and flow structure in the Clyde Sea front , 1999 .

[67]  Peter Cornillon,et al.  Satellite-derived sea surface temperature fronts on the continental shelf off the northeast U.S. coast , 1999 .

[68]  K. Jung,et al.  APPLICATION OF EDDY VISCOSITY CLOSURE MODELS FOR THE M2 TIDE AND TIDAL CURRENTS IN THE YELLOW SEA AND THE EAST CHINA SEA , 1999 .

[69]  F. Chai,et al.  Physicobiological oceanographic remote sensing of the East China Sea: Satellite and in situ observations , 1998 .

[70]  Florent Lyard,et al.  Energetics of the M2 barotropic ocean tides: an estimate of bottom friction dissipation from a hydrodynamic model , 1997 .

[71]  Peter Cornillon,et al.  Multi-Image Edge Detection for SST Images , 1995 .

[72]  Peter Cornillon,et al.  Edge Detection Algorithm for SST Images , 1992 .

[73]  Mark R. Abbott,et al.  Tidal and atmospheric forcing of the upper ocean in the Gulf of California: 1. Sea surface temperature variability , 1991 .

[74]  John H. Simpson,et al.  Models of stratification and frontal movement in shelf seas , 1981 .