Using geostationary satellite ocean color data to map the diurnal dynamics of suspended particulate matter in coastal waters

摘要：

　　Suspended particulate matter (TSM) in coastal waters is often characterized by high concentrations and significantly diurnal dynamics.Due to insufficient spatial and temporal resolution,both cruise sampling and polar-orbiting satellite remote sensing are limited for mapping diurnal dynamics.However,the in-orbit operation of the world’s first geostationary satellite ocean color sensor,GOCI,provides hourly observations of the dynamics in the area covered.In this study,taking Hangzhou Bay as a sample region,we quantitatively applied and validated GOCI data to map the diurnal dynamics of TSM in turbid coastal waters.We proposed a practical atmospheric correction algorithm for GOCI data in turbid waters,and the validation results showed the GOCI-retrieved normalized water-leaving radiances matched the in-situ values very well in both quantity and spectral shapes.We also developed a regional empirical TSM algorithm for GOCI data applicable to extremely turbid waters.Based on the atmospheric correction and regional TSM algorithms developed,hourly maps of TSM were generated from GOCI level-1B data,and the diurnal variations derived by GOCI matched the buoy data quite well.Hourly observations of GOCI revealed that different regions and tidal phases had different diurnal variation magnitudes,with a maximum up to 5000mg/l in central Hangzhou Bay.Meanwhile,strong wind events such as typhoons could increase TSM in Hangzhou Bay; however,both GOCI observations and buoy measurements showed that this effect was episodic with a short duration,and it returned to normal one day after the typhoon.Our results showed that GOCI data can be used successfully to map the diurnal dynamics of TSM in turbid coastal waters.Moreover,the significantly diurnal dynamics revealed by hourly GOCI observations provide a cautionary tale for mapping TSM in coastal waters using cruise sampling data and conventional polar-orbit satellite data,owing to its insufficient temporal resolution to catch diurnal variations.

关键词： suspended particulate matter geostationary satellite ocean color data diurnal dynamics

作者: Xianqiang He Yan Bai Delu Pan Ningli Huang Xu Dong Jinshun Chen Chen-Tung Arthur Chen Qianfang Cui

作者单位: State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Stat Shanghai Marine Meteorological Centre, Shanghai, China State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China

会议类型: 国际会议

会议名称: The 17th Pacific -Asian Marginal Seas Meeting(第十七届太平洋与亚洲边缘海国际会议)

会议地点: 杭州

会议语种:英文

页码: 848-855

在线出版日期: 2013-04-23（万方平台首次上网日期，不代表论文的发表时间）