Monte Carlo modeling in the problem of lidar remote sensing of clouds from satellites

Boris A. Kargin; Arseny B. Kargin; Maksim V. Lavrov

doi:10.1117/12.864853

14 October 2010 Monte Carlo modeling in the problem of lidar remote sensing of clouds from satellites

Boris A. Kargin, Arseny B. Kargin, Maksim V. Lavrov

Proceedings Volume 7827, Remote Sensing of Clouds and the Atmosphere XV; 78270T (2010) https://doi.org/10.1117/12.864853
Event: SPIE Remote Sensing, 2010, Toulouse, France

Abstract

Laser sensing is an effective way of studying optical properties of various atmospheric structures. If we consider strongly scattering media, like clouds, there arises the necessity of taking into account the effects of multiple scattering which changes the space and time characteristics of the light pulse. The Monte Carlo method is the most convenient one for obtaining practical results in such problems. In this paper two problems were solved. One is constructing an adequate optical model of crystal clouds taking into account optical anisotropy of the medium. The other is Monte Carlo modeling of laser radiation transfer in such a medium. The form and duration of light pulses reflected by clouds (lidar returns) are obtained by the Monte Carlo method in the case of single layer continuous crystal cloud and double layer continuous cloudiness (a crystal cloud of highest level is located above a drop cloud).

Citation Download Citation

Boris A. Kargin, Arseny B. Kargin, and Maksim V. Lavrov "Monte Carlo modeling in the problem of lidar remote sensing of clouds from satellites", Proc. SPIE 7827, Remote Sensing of Clouds and the Atmosphere XV, 78270T (14 October 2010); https://doi.org/10.1117/12.864853

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