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摘要: 气溶胶消光后向散射比是与气溶胶类型相关的一个重要光学参数，且是米散射 雷达反演中的关键误差来源之一，近年来， 雷达在大气气溶胶探测领域内的发展迅猛，因此调研消光后向散射比的反演方法对于气溶胶的探测与研究具有很大意义。本文根据使用的仪器及反演原理，对多种大气气溶胶消光后向散射比的反演算法进行了整理归纳，并从光学特性和微物理特性入手将这些方法联系起来。其中，光散射模型法、被动光学遥感法与 雷达法联系紧密、应用广泛，为大气气溶胶的探测与研究提供了重要支撑。文章重点介绍了这3大类较为主流的反演方法，综述了相关方法的发展历程并分析了适用情况及优缺点，最后展望了未来大气气溶胶消光后向散射比反演技术的发展趋势。Abstract: The extinction-to-backscatter ratio is an important optical parameter of aerosols, which is dependent on the type of aerosol. In addition, it is an important source of error in the retrieval of Mie-scattering Lidar. Nowadays, with the rapid development of Lidar in atmospheric aerosol detection, it has become a focus of research. Therefore, it is of great significance to investigate the retrieval methods of the extinction-to-backscatter ratio for aerosol detection and research. According to the choice of instruments and the retrieval principles, this paper summarizes various methods and compares them in terms of optical and microphysical properties. Among them, the light scattering model method, passive optical remote sensing method and Lidar method are closely related and widely used, which provide important support for the detection and research of atmospheric aerosols. This paper mainly introduces these three kinds of relatively mainstream retrieval methods and summarizes the development of related methods. The application, advantages and disadvantages of these methods are analyzed, and their future trends of development are forecasted.
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图 1 各类气溶胶EBR反演法之间的联系框图
Figure 1. Block diagram of relationship between various aerosol EBR inversion methods
图 2 不同粒子对光的散射示意图
Figure 2. Schematic diagram of light scattering by different particles
图 4 入射 波长为354.7 nm时的 雷达大气回波信号光谱分布
Figure 4. Spectral distribution of return signals of Lidar when incident wavelength is 354.7 nm
图 5 CALIOP版本4的平流层气溶胶分类算法
Figure 5. Stratosphere aerosol classification algorithm for CALIOP version 4
图 6 雷达后向散射信号频谱。(a)标准后向散射 雷达；(b)HSRL中附加的频谱识别
Figure 6. Spectra of lidar backscatter signal. (a) Standard backscatter lidar; (b) additional spectral discrimination in HSRL
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