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Proceedings Paper

Retrieval of high-spectral-resolution lidar for atmospheric aerosol optical properties profiling
Author(s): Dong Liu; Jing Luo; Yongying Yang; Zhongtao Cheng; Yupeng Zhang; Yudi Zhou; Lulin Duan; Lin Su
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Paper Abstract

High-spectral-resolution lidars (HSRLs) are increasingly being developed for atmospheric aerosol remote sensing applications due to the straightforward and independent retrieval of aerosol optical properties without reliance on assumptions about lidar ratio. In HSRL technique, spectral discrimination between scattering from molecules and aerosol particles is one of the most critical processes, which needs to be accomplished by means of a narrowband spectroscopic filter. To ensure a high retrieval accuracy of an HSRL system, the high-quality design of its spectral discrimination filter should be made. This paper reviews the available algorithms that were proposed for HSRLs and makes a general accuracy analysis of the HSRL technique focused on the spectral discrimination, in order to provide heuristic guidelines for the reasonable design of the spectral discrimination filter. We introduce a theoretical model for retrieval error evaluation of an HSRL instrument with general three-channel configuration. Monte Carlo (MC) simulations are performed to validate the correctness of the theoretical model. Results from both the model and MC simulations agree very well, and they illustrate one important, although not well realized fact: a large molecular transmittance and a large spectral discrimination ratio (SDR, i.e., ratio of the molecular transmittance to the aerosol transmittance) are beneficial t o promote the retrieval accuracy. The application of the conclusions obtained in this paper in the designing of a new type of spectroscopic filter, that is, the field-widened Michelson interferometer, is illustrated in detail. These works are with certain universality and expected to be useful guidelines for HSRL community, especially when choosing or designing the spectral discrimination filter.

Paper Details

Date Published: 15 October 2015
PDF: 12 pages
Proc. SPIE 9674, AOPC 2015: Optical and Optoelectronic Sensing and Imaging Technology, 96741U (15 October 2015); doi: 10.1117/12.2199695
Show Author Affiliations
Dong Liu, Zhejiang Univ. (China)
Jing Luo, Zhejiang Univ. (China)
Yongying Yang, Zhejiang Univ. (China)
Zhongtao Cheng, Zhejiang Univ. (China)
Yupeng Zhang, Zhejiang Univ. (China)
Yudi Zhou, Zhejiang Univ. (China)
Lulin Duan, Zhejiang Univ. (China)
Lin Su, Institute of Remote Sensing and Digital Earth (China)

Published in SPIE Proceedings Vol. 9674:
AOPC 2015: Optical and Optoelectronic Sensing and Imaging Technology
Haimei Gong; Nanjian Wu; Yang Ni; Weibiao Chen; Jin Lu, Editor(s)

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