Improved genetic algorithm for multiwave lidar sensing of atmospheric aerosol

Improved genetic algorithm for multiwave lidar sensing of atmospheric aerosol

An algorithm for reconstructing microphysical characteristics of cloudiness and aerosol formations by the use of white light lidars based on lasers with femtosecond pulse duration is presented. The direct problem of broadband radiative transfer is solved by the Monte Carlo method, and then the inver...

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Veröffentlicht in:Atmospheric and oceanic optics 2012-04, Vol.25 (2), p.130-134
Hauptverfasser: Krekov, G. M., Sukhanov, A. Ya
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Sprache:eng
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Inverse Problems of Atmospheric and Ocean Optics
Lasers
Optical Devices
Optics
Photonics
Physics
Physics and Astronomy
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container_title Atmospheric and oceanic optics
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creator Krekov, G. M.
Sukhanov, A. Ya
description An algorithm for reconstructing microphysical characteristics of cloudiness and aerosol formations by the use of white light lidars based on lasers with femtosecond pulse duration is presented. The direct problem of broadband radiative transfer is solved by the Monte Carlo method, and then the inverse problem is solved using a modified genetic algorithm permitting one to reconstruct the physical and optical characteristics of aerosol formations simultaneously.
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source Springer Nature - Complete Springer Journals
subjects Inverse Problems of Atmospheric and Ocean Optics
Lasers
Optical Devices
Optics
Photonics
Physics
Physics and Astronomy
title Improved genetic algorithm for multiwave lidar sensing of atmospheric aerosol
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