Evaluation of multiple-scattering influence on lidar measurement by iterative Monte Carlo method

Xuan Wang; Antonella Boselli; Piero Bruscaglioni; Loredana D'Avino; Antonia Gambacorta; Andrea Ismaelli; Raffaele Velotta; Giovanni Zaccanti

doi:10.1117/12.514233

12 January 2004 Evaluation of multiple-scattering influence on lidar measurement by itinerative Monte Carlo method

Xuan Wang, Antonella Boselli, Piero Bruscaglioni, Loredana D'Avino, Antonia Gambacorta, Andrea Ismaelli, Raffaele Velotta, Giovanni Zaccanti

Author Affiliations +

Proceedings Volume 5240, Laser Radar Technology for Remote Sensing; (2004) https://doi.org/10.1117/12.514233
Event: Remote Sensing, 2003, Barcelona, Spain

Abstract

Multiple-scattering effects sometime bias the ground-based lidar measurements, in particular for density aerosol and cirrus cloud. Both analytical and Montecarlo methods are very useful tools to study this influence. However, for analytical solution, it needs to make some hypotheses and the Montecarlo simulation is only a forward method. In this paper, an itinerative method is introduced based on Montecarlo simulation. Both extinction and backscattering coefficients, obtained by Raman lidar, are corrected for the multiple-scattering influence. For the typical cirrus cloud, the error of the multiple-scattering influence on extinction can be as large as 100%. However, it is negligible of the influence on backscattering coefficient. Therefore, the lidar ratio is also sensitive to the multiple-scattering effect.

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Xuan Wang, Antonella Boselli, Piero Bruscaglioni, Loredana D'Avino, Antonia Gambacorta, Andrea Ismaelli, Raffaele Velotta, and Giovanni Zaccanti "Evaluation of multiple-scattering influence on lidar measurement by itinerative Monte Carlo method", Proc. SPIE 5240, Laser Radar Technology for Remote Sensing, (12 January 2004); https://doi.org/10.1117/12.514233

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