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Proceedings Paper

Evaluation of multiple-scattering influence on lidar measurement by iterative Monte Carlo method
Author(s): Xuan Wang; Antonella Boselli; Piero Bruscaglioni; Loredana D'Avino; Antonia Gambacorta; Andrea Ismaelli; Raffaele Velotta; Giovanni Zaccanti
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Paper 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.

Paper Details

Date Published: 12 January 2004
PDF: 9 pages
Proc. SPIE 5240, Laser Radar Technology for Remote Sensing, (12 January 2004); doi: 10.1117/12.514233
Show Author Affiliations
Xuan Wang, INFM-Napoli (Italy)
Antonella Boselli, INFM-Napoli (Italy)
Istituto di Metodologie per l'Analisi Ambientale (Italy)
Piero Bruscaglioni, Univ. degli Studi di Firenze (Italy)
INFM (Italy)
Loredana D'Avino, Univ. degli Studi di Napoli Federico II (Italy)
Antonia Gambacorta, INFM-Napoli (Italy)
Andrea Ismaelli, Univ. degli Studi di Firenze (Italy)
INFM (Italy)
Raffaele Velotta, Univ. degli Studi di Napoli Federico II (Italy)
Giovanni Zaccanti, Univ. degli Studi di Firenze (Italy)
INFM (Italy)

Published in SPIE Proceedings Vol. 5240:
Laser Radar Technology for Remote Sensing
Christian Werner, Editor(s)

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