Comparative analysis of the multi-type atmospheric aerosol lidar ratios

Yong Han; Daren Lü; Minzheng Duan

doi:10.1117/12.835308

28 August 2009 Comparative analysis of the multi-type atmospheric aerosol lidar ratios

Yong Han, Daren Lü, Minzheng Duan

Proceedings Volume 7382, International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging; 738226 (2009) https://doi.org/10.1117/12.835308
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

Abstract

For lidar probing technique, the lidar ratio is one of key factors which impact the precision of lidar detection. Lidar ratio depends on not only incident laser wavelength but also aerosol size distribution and complex refractive index, and its value is between 0 and 90sr. However, lidar ratio was simply suggested as a fixed value of 50 sr for a long time, which means that the atmospheric aerosol size distribution and chemical compositions do not change with temporal and special variableness. In order to improve the detection precision of lidar extinction profile, it is necessary to study the changes of lidar ratio. For the measurements with an upward-looking monostatic lidar system, due to the change of the relative humidity along the measurement path, the lidar ratio may differ considerably from an assumed constant range-independent value. One of the objectives of this study is to quantify this variability for different aerosol types by numerical methods, and we will give out multi-type aerosol lidar ratios, such as continental clean, continental average, continental polluted, urban, desert, maritime clean maritime polluted and maritime tropic et al. The results will provide valuable references for the lidar development and the derivation of atmospheric aerosol extinction profile.

Citation Download Citation

Yong Han, Daren Lü, and Minzheng Duan "Comparative analysis of the multi-type atmospheric aerosol lidar ratios", Proc. SPIE 7382, International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging, 738226 (28 August 2009); https://doi.org/10.1117/12.835308

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