Lidar remote sensing of atmospheric aerosol and cloudiness: Monte Carlo modeling

Evgeniya Kablukova; Arseny B. Kargin; Boris A. Kargin

doi:10.1117/12.977241

19 November 2012 Lidar remote sensing of atmospheric aerosol and cloudiness: Monte Carlo modeling

Evgeniya Kablukova, Arseny B. Kargin, Boris A. Kargin

Proceedings Volume 8526, Lidar Remote Sensing for Environmental Monitoring XIII; 85260N (2012) https://doi.org/10.1117/12.977241
Event: SPIE Asia-Pacific Remote Sensing, 2012, Kyoto, Japan

Abstract

The light haze of a ground-based impulse LIDAR in an altitude-wise optically inhomogeneous cloud-free atmosphere was computed in dependence of various optical-geometrical parameters of the experiment using the Monte Carlo method. Modeling of the LIDAR echo-signal reflected off the lower boundary of a liquid droplet cloud for a ground-based LIDAR and off the upper boundary of the cloud for an aircraft- and space-based LIDAR was also completed. A feature of these calculations is the choice of the model with altitude-wise statistically inhomogeneous structure of aerosol scattering parameters as the optical model of a cloudless atmosphere. The echo-signals from clouds were computed in the assumption of statistical variation of the altitudes of the lower and upper cloudiness boundaries. In the calculations new effective discrete-stochastic modifications of local estimates were employed.

Citation Download Citation

Evgeniya Kablukova, Arseny B. Kargin, and Boris A. Kargin "Lidar remote sensing of atmospheric aerosol and cloudiness: Monte Carlo modeling", Proc. SPIE 8526, Lidar Remote Sensing for Environmental Monitoring XIII, 85260N (19 November 2012); https://doi.org/10.1117/12.977241

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