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首页> 外文期刊>Journal of oceanography >An evaluation of inversion models for retrieval of inherent optical properties from ocean color in coastal and open sea waters around Korea
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An evaluation of inversion models for retrieval of inherent optical properties from ocean color in coastal and open sea waters around Korea

机译：对韩国周围沿海和公海海水颜色固有光学特性的反演模型的评估

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This study was aimed to investigate three inversion models (currently in use with Moderate Resolution Imaging Spectroradiometer and Sea-viewing Wide Field-of-view Sensor data processing), namely constrained Linear Matrix (LM), Quasi-analytical algorithm (QAA) and GSM semi-analytical models (GSM). These models were applied to large bio-optical data sets (collected from coastal and open sea waters around Korea) to retrieve inherent optical properties (IOPs) such as absorption coefficients of phytoplankton (aph), colored dissolved and detrital organic matters (acdm), and particulate backscattering coefficient (bbp) at five wavelengths (412, 443, 490, 510, and 555 nm). The derived IOP products were compared with in situ aph, acdm and bbp coefficients measured for the same remote sensing reflectance (Rrs(λ)) data sets used in the models and the uncertainties of the three models were assessed based on the standard statistical procedures (mean relative error MRE, root mean square error RMSE, slope, and coefficient of determination R2). It was found that all the three models tended to yield significant errors with varying magnitude at different wavelengths. Overall performance of the models assessed based on the above statistical means was found in the following order: LM > GSM > QAA for retrieving the aph, LM > GSM > QAA for retrieving the acdm, and QAA > GSM > LM for retrieving the bbp. Our analyses suggest that these models will require additional refinements with a full parameterization by a fully suited data set in order to produce accurate retrievals of IOPs in coastal and open sea waters around Korea.
机译：这项研究的目的是研究三种反演模型（当前与中等分辨率成像光谱仪和海景宽视场传感器数据处理一起使用），即约束线性矩阵（LM），拟分析算法（QAA）和GSM半分析模型（GSM）。这些模型已应用于大型生物光学数据集（从韩国周围的沿海和公海收集），以检索固有的光学特性（IOP），例如浮游植物（aph）的吸收系数，有色溶解物和碎屑有机物（acdm），五个波长（412、443、490、510和555 nm）的颗粒反向散射系数（bbp）。将获得的IOP产品与针对模型中使用的相同遥感反射率（Rrs（λ））数据集测量的原位aph，acdm和bbp系数进行比较，并根据标准统计程序评估这三个模型的不确定性（平均相对误差MRE，均方根误差RMSE，斜率和确定系数R2）。已经发现，所有三个模型都倾向于在不同波长下产生不同幅度的明显误差。根据以下统计方式评估的模型的总体性能按以下顺序找到：LM> GSM> QAA用于检索aph，LM> GSM> QAA用于检索acdm，QAA> GSM> LM用于检索bbp。我们的分析表明，这些模型将需要通过完全合适的数据集进行完全参数化的其他改进，以便在韩国周围的沿海和公海中准确地获取IOP。

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