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Data processing technique for multiangle lidar sounding of poorly stratified polluted atmospheres: Theory and experiment
Wold, Cyle E.; Kovalev, Vladimir A.; Petkov, Alexander P.; Hao, Wei Min. 2012. Data processing technique for multiangle lidar sounding of poorly stratified polluted atmospheres: Theory and experiment. In: Proceedings of the Aerosol and Atmospheric Optics: Visibility & Air Pollution Specialty Conference; 24-28 September 2012; Whitefish, Montana. Extended Abstract #12. 6 p.
Scanning elastic lidar, which can operate in different slant directions, is the most appropriate remote sensing tool for investigating the optical properties of smoke-polluted atmospheres. However, the commonly used methodologies of multiangle measurements are based on the assumption of horizontal stratification of the searched atmosphere1,2. When working in real atmospheres, even a slight deviation from the required atmospheric stratification may result in an unacceptable measurement error, especially, in clear atmospheres which contain local layering with increased backscattering.
Keywords: lidar sounding, remote sensing, smoke, polluted atmospheres
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Title: RMRS Other
Publications: Data processing technique for multiangle lidar sounding
of poorly stratified polluted atmospheres: Theory and experiment
Electronic Publish Date: September 10, 2013
Last Update: September 10, 2013
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