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An optical model for deriving the spectral particulate backscattering coefficients in clear and turbid coastal waters

机译：用于推算清澈浑浊的沿海水域中的光谱颗粒反向散射系数的光学模型

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An optical model is developed based on the diffuse attenuation coefficient (Kd) to estimate particulate backscattering coefficients bbp(λ) in clear and turbid coastal waters. A large in-situ data set is used to establish robust relationships between bbp(530) and bbp(555) and Kd(490) using an efficient nonlinear least square method which uses the Trust-Region algorithm with Bisquare weights scheme to adjust the coefficients. These relationships are obtained with good correlation coefficients (R2 = 0.786 and 0.790), low Root Mean Square Error (RMSE = 0.00076 and 0.00072) and 95% confidence bounds. The new model is tested with two independent data sets such as the NOMAD SeaWiFS Match-ups and OOXIX IOP algorithm workshop evaluation data set (Version 2.0w APLHA). Results show that the new model makes good retrievals of bbp at all key wavelengths (from 412–683 nm), with statistically significant improvements over other inversion models. Thus, the new model has the potential to improve our knowledge of particulate matters and their optical variability in both clear and turbid coastal waters.
机译：建立了基于扩散衰减系数（K d ）的光学模型，以估算在清澈浑浊的沿海水域中的颗粒反向散射系数b bp （λ）。使用大量的原位数据集来建立b bp （530）与b bp （555）和K d （ 490）使用有效的非线性最小二乘法，该方法使用具有双平方权重方案的Trust-Region算法来调整系数。这些关系具有良好的相关系数（R 2 = 0.786和0.790），低均方根误差（RMSE = 0.00076和0.00072）和95％置信区间。新模型已通过两个独立的数据集进行了测试，例如NOMAD SeaWiFS Match-ups和OOXIX IOP算法车间评估数据集（2.0w APLHA版）。结果表明，该新模型在所有关键波长（412-683 nm）处都能很好地检索b bp ，与其他反演模型相比，具有统计学上的显着改进。因此，新模型有可能提高我们对颗粒物质及其在清澈和浑浊的沿海水域中的光学可变性的认识。

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