Monte Carlo simulation of polarization lidar multiple scattering by multi-layer discrete random media

被引：0
作者：
Sun, Xianming [1 ]
Xiao, Sai [1 ]
Wan, Long [1 ]
Wang, Haihua [1 ]
Shen, Jin [1 ]
机构：
[1] School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, 255049, Shandong
来源：
Zhongguo Jiguang/Chinese Journal of Lasers | 2015年 / 42卷 / 12期
关键词：
Atmospheric optics; Lidar; Monte Carlo method; Multi-layer media; Multiple scattering; Polarization;
D O I：
10.3788/CJL201542.1213001
中图分类号：
学科分类号：
摘要：
The polarized multiple scattering of multi-layer discrete random media by laser is simulated by the Monte Carlo method. The simulation steps of a fast semi-analytic Monte Carlo method are given based on the properties of the polarization lidar. The free path adjustment is considered when the photon crosses the interface of different media. The scattering angles for different media layers are sampled based on the Mie theory. The relationship between lidar depolarization ratio and the penetration depth of two-layer and three-layer water clouds is studied. The results show that the depolarization ratio increases with the depth of penetration, and the increasing speed of depolarization ratio is also different when laser is incident from one medium to another medium. The influence of effective size, single scattering phase function, extinction on the lidar depolarization is analyzed. The method can be used to retrieve the microphysical and optical characteristics of inhomogeneous clouds or aerosols with the polarization lidar. © 2015, Science Press. All right reserved.
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页数：7
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共 11 条
  • [1] Bo G., Liu D., Wu D., Et al., Two-wavelength lidar for observation of aerosol optical and hygroscopic properties in fog and haze days, Chinese J Lasers, 41, 1, (2014)
  • [2] Wang Z., Liu D., Cheng Z., Et al., Pattern recognition model for haze identification with atmospheric backscatter lidars, Chinese J Lasers, 41, 11, (2014)
  • [3] Guan S., Yang G., Cheng X., Et al., New methods of signal-induced noise deduction for Rayleigh scattering lidar in temperature measurement, Chinese J Lasers, 41, 7, (2014)
  • [4] Hu Y., Vaughan M., Liu Z., Et al., The depolarization-attenuated backscatter relation: CALIPSO lidar measurements vs theory, Optics Express, 15, 9, pp. 5327-5332, (2007)
  • [5] Kim D., Cheong H.D., Kim Y., Et al., Optical depth and multiple scattering depolarization in liquid clouds, Optical Review, 17, 6, pp. 507-512, (2010)
  • [6] Bissonnette L.R., Roy G., Roy N., Multiple-scattering-based lidar retrieval: Method and results of cloud probings, Applied Optics, 44, 26, pp. 5565-5581, (2005)
  • [7] Winker D.M., Vaughan M.A., Omar A., Et al., Overview of the CALIPSO mission and CALIOP data processing algorithms, Journal of Atmospheric and Oceanic Technology, 26, 11, pp. 2310-2323, (2009)
  • [8] Hu Y.X., Winker D., Yang P., Et al., Identification of cloud phase from PICASSO-CENA lidar depolarization: A multiple scattering sensitivity study, Journal of Quantitative Spectroscopy and Radiative Transfer, 70, 4, pp. 569-579, (2001)
  • [9] Ramella-Roman J., Prahl S., Jacques S., Three Monte Carlo programs of polarized light transport into scattering media: Part I, Optics Express, 13, 12, pp. 4420-4438, (2005)
  • [10] Hansen J.E., Travis L.D., Light scattering in planetary atmospheres, Space Science Reviews, 16, 4, pp. 527-610, (1974)
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