Share Email Print
cover

Proceedings Paper

Comparative analysis of the multi-type atmospheric aerosol lidar ratios
Author(s): Yong Han; Daren Lü; Minzheng Duan
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 29 August 2009
PDF: 9 pages
Proc. SPIE 7382, International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging, 738226 (29 August 2009); doi: 10.1117/12.835308
Show Author Affiliations
Yong Han, Institute of Atmospheric Physics (China)
Nanjing Univ. (China)
Daren Lü, Institute of Atmospheric Physics (China)
Nanjing Univ. (China)
Minzheng Duan, Institute of Atmospheric Physics (China)


Published in SPIE Proceedings Vol. 7382:
International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging
Farzin Amzajerdian; Chun-qing Gao; Tian-yu Xie, Editor(s)

© SPIE. Terms of Use
Back to Top