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Proceedings Paper

Lidar remote sensing of atmospheric aerosol and cloudiness: Monte Carlo modeling
Author(s): Evgeniya Kablukova; Arseny B. Kargin; Boris A. Kargin
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Paper 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.

Paper Details

Date Published: 19 November 2012
PDF: 11 pages
Proc. SPIE 8526, Lidar Remote Sensing for Environmental Monitoring XIII, 85260N (19 November 2012); doi: 10.1117/12.977241
Show Author Affiliations
Evgeniya Kablukova, Institute of Computational Mathematics and Mathematical Geophysics (Russian Federation)
Arseny B. Kargin, Institute of Computational Mathematics and Mathematical Geophysics (Russian Federation)
Boris A. Kargin, Institute of Computational Mathematics and Mathematical Geophysics (Russian Federation)
Novosibirsk State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 8526:
Lidar Remote Sensing for Environmental Monitoring XIII
Kazuhiro Asai; Nobuo Sugimoto; Upendra N. Singh; Achuthan Jayaraman; Jianping Huang; Detlef Mueller, Editor(s)

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