Mie-Rayleigh-Raman lidar for measurement of atmospheric temperature and aerosol extinction

Lingbing Bu; Xingyou Huang; Nianwen Cao; Jiansong Huang; Li Guan; Kunling Shan

doi:10.1117/12.835730

31 August 2009 Mie-Rayleigh-Raman lidar for measurement of atmospheric temperature and aerosol extinction

Lingbing Bu, Xingyou Huang, Nianwen Cao, Jiansong Huang, Li Guan, Kunling Shan

Proceedings Volume 7382, International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging; 73824Y (2009) https://doi.org/10.1117/12.835730
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

Abstract

A Mie-Rayleigh-Raman lidar contains a 200mJ-532nm laser, a 400mm telescope and three detection channels was constructed in this paper. The three detection channels are Mie channel, Rayleigh channel and Raman channel respectively. For the intensity of the aerosol backscattering in boundary layers, analog PMT is used in the Mie channel, from the signal of the analog PMT aerosol extinction can be obtained. The Rayleigh channel detects the Rayleigh backscattering of the atmospheric molecular, while the Raman channel detects the vibrational Raman signal of N2, which is 607nm in the system. From the Rayleigh and Raman channels above, air density profile and then the temperature profile from 5Km to 55Km can be inverted. Primary measurement results were also presented in this paper, to verify the accuracy of the temperature, comparison was conducted between the lidar measurement and the atmospheric model. The result showed good agreements. Backscattering coefficient of aerosol in the range of 10Km was also presented in the end, which indicated the ability of aerosol monitoring.

Citation Download Citation

Lingbing Bu, Xingyou Huang, Nianwen Cao, Jiansong Huang, Li Guan, and Kunling Shan "Mie-Rayleigh-Raman lidar for measurement of atmospheric temperature and aerosol extinction", Proc. SPIE 7382, International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging, 73824Y (31 August 2009); https://doi.org/10.1117/12.835730

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