Volume 14 Issue 6
Nov.  2021
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CHEN Jie, TONG Yi-cheng, XIAO Da, ZHANG Kai, LIU Chong, LIU Dong. Retrieval methods for extinction-to-backscatter ratio of atmospheric aerosols[J]. Chinese Optics, 2021, 14(6): 1305-1316. doi: 10.37188/CO.2021-0135
Citation: CHEN Jie, TONG Yi-cheng, XIAO Da, ZHANG Kai, LIU Chong, LIU Dong. Retrieval methods for extinction-to-backscatter ratio of atmospheric aerosols[J]. Chinese Optics, 2021, 14(6): 1305-1316. doi: 10.37188/CO.2021-0135

Retrieval methods for extinction-to-backscatter ratio of atmospheric aerosols

Funds:  Supported by National Key Research and Development Program of China (No. 2016YFC1400900); National Natural Science Foundation of China (No. 41775023); Excellent Young Scientist Program of Zhejiang Provincial Natural Science Foundation of China (No. LR19D050001); Fundamental Research Funds for the Central Universities (No. 2021XZZX019); State Key Laboratory of Modern Optical Instrumentation Innovation Program (No. MOI2021ZD01)
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  • Corresponding author: liudongopt@zju.edu.cn
  • Received Date: 05 Jul 2021
  • Rev Recd Date: 13 Aug 2021
  • Available Online: 10 Sep 2021
  • Publish Date: 19 Nov 2021
  • 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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