A semianalytic Monte Carlo code for modelling LIDAR measurements

Elisa Palazzi; Ivan Kostadinov; Andrea Petritoli; Fabrizio Ravegnani; Daniele Bortoli; Samuele Masieri; Margherita Premuda; Giorgio Giovanelli

doi:10.1117/12.737254

25 October 2007 A semianalytic Monte Carlo code for modelling LIDAR measurements

Elisa Palazzi, Ivan Kostadinov, Andrea Petritoli, Fabrizio Ravegnani, Daniele Bortoli, Samuele Masieri, Margherita Premuda, Giorgio Giovanelli

Author Affiliations +

Proceedings Volume 6745, Remote Sensing of Clouds and the Atmosphere XII; 67451G (2007) https://doi.org/10.1117/12.737254
Event: SPIE Remote Sensing, 2007, Florence, Italy

Abstract

LIDAR (LIght Detection and Ranging) is an optical active remote sensing technology with many applications in atmospheric physics. Modelling of LIDAR measurements appears useful approach for evaluating the effects of various environmental variables and scenarios as well as of different measurement geometries and instrumental characteristics. In this regard a Monte Carlo simulation model can provide a reliable answer to these important requirements. A semianalytic Monte Carlo code for modelling LIDAR measurements has been developed at ISAC-CNR. The backscattered laser signal detected by the LIDAR system is calculated in the code taking into account the contributions due to the main atmospheric molecular constituents and aerosol particles through processes of single and multiple scattering. The contributions by molecular absorption, ground and clouds reflection are evaluated too. The code can perform simulations of both monostatic and bistatic LIDAR systems. To enhance the efficiency of the Monte Carlo simulation, analytical estimates and expected value calculations are performed. Artificial devices (such as forced collision, local forced collision, splitting and russian roulette) are moreover foreseen by the code, which can enable the user to drastically reduce the variance of the calculation.

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Elisa Palazzi, Ivan Kostadinov, Andrea Petritoli, Fabrizio Ravegnani, Daniele Bortoli, Samuele Masieri, Margherita Premuda, and Giorgio Giovanelli "A semianalytic Monte Carlo code for modelling LIDAR measurements", Proc. SPIE 6745, Remote Sensing of Clouds and the Atmosphere XII, 67451G (25 October 2007); https://doi.org/10.1117/12.737254

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