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The statistic inversion algorithms of water constituents for the Huanghai Sea and the East China Sea
Authors:TANG Junwu  WANG Xiaomei  SONG Qingjun  LI Tongji  CHEN Jiezhong  HUANG Haijun and REN Jingping
Institution:1.National Satellite Ocean Application Service(NSOAS), State Oceanic Administration, Beijing 100081, China2.National Ocean Technology Center(NOTC), State Oceanic Administration, Tianjin 300111, China3.Hong Kong University of Science and Technology, Hong Kong, China4.Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
Abstract:A group of statistical algorithms are proposed for the inversion of the three major components of CaseII waters inthe coastal area of the Huanghai Sea and the East China Sea. The algorithms are based on the in situ data collected inthe spring of 2003 with strict quality assurance according to NASA ocean bio-optic protocols. These algorithms arethe first ones with quantitative confidence that can be applied for the area. The average relative error of the inversedand in situ measured components' concentrations are: Chl-a about 37%, total suspended matter (TSM) about 25%,respectively. This preliminary result is quite satisfactory for CaseII waters, although some aspects in the modelneed further study. The sensitivity of the input error of 5% to remote sensing reflectance (Rrs) is also analyzed andit shows the algorithms are quite stable. The algorithms show a large difference with Tassans local SeaWiFSalgorithms for different waters, except for the Chl-a algorithm.
Keywords:ocean color sensing  CaseII water algorithms  statistic model  
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