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Reconstruction of the aerosol optical parameters from the data of sensing with a multifrequency Raman lidar

机译:从多频拉曼激光雷达的传感数据重建气溶胶光学参数

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摘要

A method of interpreting data of multifrequency Raman lidar sensing is developed. An algorithm for separating aerosol layers with different scattering properties and subsequently estimating the average value of the lidar ratio and Angstrom parameter within individual layers is suggested. The algorithm allows the error of reconstructing the backscattering coefficient from daytime observations to be at least halved. A well-posed numerical differentiation algorithm for determining the extinction coefficient is suggested for the interpretation of nighttime measurements based on the transformation of the range of allowable values that requires a solution of nonlinear equations. An iterative procedure envisaged for linearization improves the spatial resolution compared with the conventional methods. The methods can be successfully used to process routine lidar measurements under conditions of a priori uncertainty.
机译:提出了一种解释多频拉曼激光雷达传感数据的方法。提出了一种分离具有不同散射特性的气溶胶层并随后估算各个层内激光雷达比和Angstrom参数平均值的算法。该算法使从白天观测中重建后向散射系数的误差至少减半。提出了一种用于确定消光系数的适当数值微分算法,用于基于允许值范围的变换(需要求解非线性方程)来解释夜间测量结果。与常规方法相比,为线性化设想的迭代过程提高了空间分辨率。该方法可以成功地用于在先验不确定性条件下进行常规激光雷达测量。

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