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A research on statistical retrieval algorithms and spectral characteristics of the total absorption coefficients in the Yellow Sea and the East China Sea
作者姓名:王晓梅  唐军武  宋庆君  丁静  马超飞
作者单位:National Satellite Ocean Application Service Beijing 100081 China,National Satellite Ocean Application Service Beijing 100081 China,National Satellite Ocean Application Service Beijing 100081 China,National Satellite Ocean Application Service Beijing 100081 China,National Satellite Ocean Application Service Beijing 100081 China
基金项目:Supported by the Subsystem of Calibration and Validation, HY-1 Ground Application System, National Satellite Ocean Application Ser-vice (NSOAS). China High-Tech “863” Project (Nos. 2001AA636010, 2002AA639160 and 2002AA639200). The Ocean Science Fund Sponsor Project for the Youth, State Oceanic Administration (No. 2005415). The Director’s Science and Technology Fund Sponsor Project for the Youth, NSOAS.
摘    要:1 INTRODUCTION The Yellow Sea and the East China Sea are typical coastal Case-II waters with high sediment load and complicate optical properties. The total absorption coefficient of sea water is one of the main parameters influencing the calculation of o…

关 键 词:吸收系数  黄河  光谱  东海  沉积物
收稿时间:2006-04-13
修稿时间:2006-05-16

A research on statistical retrieval algorithms and spectral characteristics of the total absorption coefficients in the Yellow Sea and the East China Sea
Wang Xiaomei,Tang Junwu,Song Qingjun,Ding Jing,Ma Chaofei.A research on statistical retrieval algorithms and spectral characteristics of the total absorption coefficients in the Yellow Sea and the East China Sea[J].Chinese Journal of Oceanology and Limnology,2006,24(3):236-242.
Authors:Wang Xiaomei  Tang Junwu  Song Qingjun  Ding Jing  Ma Chaofei
Institution:(1) National Satellite Ocean Application Service, 100081 Beijing, China
Abstract:This paper suggests a group of statistical algorithms for calculating the total absorption co-efficients based onin situ data of apparent optical property and inherent optical property collected with strict quality assurance according to NASA ocean bio-optic protocols in the Yellow Sea and the East China Sea in spring 2003. The band-ratios ofR rs555,R rs555 are used in the algorithms to derive the total absorption coefficients (a 1) at 412, 440, 488, 510, 532 and 555nm bands, respectively. The average relative errors between inversed and measured values are less than 25.8%, with the correlative coefficients (R 2) being 0.75–0.85. Error sensitivity analysis shows that the maximum retrieval error is less than 24.0% at ±5% error inR rs's. So the statistical algorithms of this paper are practicable. In this paper, the relations between the total absorption coefficients at 412, 488, 510, 532, 555 nm and that of 440nm are also studied. The results show that the relations between the total absorption coefficients of 400–600 nm and that of 440 nm are correlated well and all of their correlative coefficientsR 2 are greater than 0.99. Furthermore, a regression analysis is also done for the slope of the linear relations and wavelengths, and theR 2 is also 0.99. Thus it is possible to retrieve other bands' total absorption coefficients with only one band absorption value, which significantly reduce the number of unknown parameters in studying other ocean color related problems. Supported by the Subsystem of Calibration and Validation, HY-1 Ground Application System, National Satellite Ocean Application Service (NSOAS). China High-Tech “863” Project (Nos. 2001AA636010, 2002AA639160 and 2002AA639200). The Ocean Science Fund Sponsor Project for the Youth, State Oceanic Administration (No. 2005415). The Director's Science and Technology Fund Sponsor Project for the Youth, NSOAS.
Keywords:Case-II water algorithms  the total absorption coefficient  statistical model
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