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Uncertainties of optical parameters and their propagations in an analytical ocean color inversion algorithm

机译:海洋颜色反演算法中光学参数的不确定性及其传播

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摘要

Following the theory of error propagation, we developed analytical functions to illustrate and evaluate the uncertainties of inherent optical properties (IOPs) derived by the quasi-analytical algorithm (QAA). In particular, we evaluated the effects of uncertainties of these optical parameters on the inverted IOPs: the absorption coefficient at the reference wavelength, the extrapolation of particle backscattering coefficient, and the spectral ratios of absorption coefficients of phytoplankton and detritus/gelbstoff, respectively. With a systematically simulated data set (46,200 points), we found that the relative uncertainty of QAA-derived total absorption coefficients in the blue-green wavelengths is generally within +-10percent for oceanic waters. The results of this study not only establish theoretical bases to evaluate and understand the effects of the various variables on IOPs derived from remote-sensing reflectance, but also lay the groundwork to analytically estimate uncertainties of these IOPs for each pixel. These are required and important steps for the generation of quality maps of IOP products derived from satellite ocean color remote sensing.
机译:遵循误差传播的理论,我们开发了解析函数来说明和评估由准分析算法(QAA)导出的固有光学特性(IOP)的不确定性。特别是,我们评估了这些光学参数的不确定性对倒置IOP的影响:参考波长下的吸收系数,粒子后向散射系数的外推以及浮游植物和碎屑/吉布斯托夫的吸收系数的光谱比。利用系统仿真的数据集(46,200点),我们发现,蓝绿色波长中QAA衍生的总吸收系数的相对不确定度通常在大洋水域的-10%以内。这项研究的结果不仅为评估和理解各种变量对遥感反射的IOP的影响建立了理论基础,而且为分析估计每个像素的IOP的不确定性奠定了基础。这些是从卫星海洋颜色遥感中获得IOP产品质量图的必要和重要步骤。

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