Doppler wind lidar sensitivity and aerosol backscatter ratio measurement by combined Raman-Mie-Rayleigh scattering

Songhua Wu; Yang Chen

doi:10.1117/12.900967

22 August 2011 Doppler wind lidar sensitivity and aerosol backscatter ratio measurement by combined Raman-Mie-Rayleigh scattering

Songhua Wu, Yang Chen

Author Affiliations +

Proceedings Volume 8192, International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging; 81923J (2011) https://doi.org/10.1117/12.900967
Event: International Symposium on Photoelectronic Detection and Imaging 2011, 2011, Beijing, China

Abstract

Direct Detect Doppler wind lidar retrieves the three dimensional wind by discriminating the frequency shift of the atmosphere elastic backscatter signal. The wind measurement sensitivity of edge detect technology based on iodine absorption lines highly depends on the aerosol backscatter ratio indicating the mixing ratio of aerosol to atmosphere molecule in the measurement volume. This work adopt an extra nitrogen Raman channel in addition to elastic Mie and Rayleigh scattering so as to retrieve the aerosol backscatter coefficient on site and in real time. The Doppler lidar transmitter is a single longitudinal mode laser at 532 nm, and the lidar receiver analyzes elastic-scatter spectrum of central wavelength at 532 nm, nitrogen Raman spectrum of central wavelength at 607 nm. The lidar prototype is validated by experiment. Results show that this method is capable of measuring aerosol backscatter ratio profile of low-altitude troposphere at the same time as wind measurement, which can define the wind measurement sensitivity and improve the accuracy of wind speed retrieval.

Citation Download Citation

Songhua Wu and Yang Chen "Doppler wind lidar sensitivity and aerosol backscatter ratio measurement by combined Raman-Mie-Rayleigh scattering", Proc. SPIE 8192, International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging, 81923J (22 August 2011); https://doi.org/10.1117/12.900967

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