首页> 外文期刊>Journal of Quantitative Spectroscopy & Radiative Transfer >A novel multiple small-angle scattering framework for interpreting anisotropic polarization pattern of lidar returns from water clouds
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A novel multiple small-angle scattering framework for interpreting anisotropic polarization pattern of lidar returns from water clouds

机译:一种用于解释水云的激光雷达返回的各向异性极化模式的新型多个小角度散射框架

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摘要

This paper presents a novel mathematical framework to interpret the polarized lidar backscattering pattern for 1D water clouds. The framework is based on the multiple scattering of the lidar signals within small-angle range. An approximation is made that both the outgoing and returning trajectories are assumed to be along nearly planar forward scattering sequences. For lidar axial symmetrical system, a quasi-linear mathematical relationship is built between the observed reduced Mueller matrix and the backscattering phase matrix, and can be generalized to arbitrary scattering orders. For validation, we extend the radiative transfer model MSCART to simulate linearly- and circularly-polarized lidar signals. Meanwhile, we propose the azimuthal Fourier expansion to extract the reduced Mueller matrix results from the MSCART simulation. The numerical evaluation experiments demonstrate that our derived mathematical expressions could extend the polar-angle dependence of the reduced Mueller matrix from second-order to higher-order multiple scatterings. The relation can serve as a useful tool in understanding lidar polarization observations and designing a CCD polarized lidar instrument. (C) 2019 Elsevier Ltd. All rights reserved.
机译:本文提出了一种新的数学框架,用于解释用于1D水云的极化激光雷达反向散射图案。该框架基于小角度范围内的LIDAR信号的多个散射。近似,假设输出和返回轨迹都沿几乎平面前向散射序列。对于LIDAR轴向对称系统,在观察到的穆勒斯矩阵和反向散射相矩阵之间构建了准线性数学关系,并且可以推广到任意散射顺序。为了验证,我们扩展了辐射传输模型Mscart以模拟线性和圆极化的LIDAR信号。同时,我们提出了方位角傅立叶膨胀,以提取来自MSCART仿真的减少的穆勒矩阵。数值评估实验表明,我们的衍生数学表达式可以将降低的穆勒斯矩阵从二阶到高阶多散射的极性角度依赖性延伸。该关系可以作为理解激光偏振观察和设计CCD偏振光仪仪器的有用工具。 (c)2019年elestvier有限公司保留所有权利。

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