Data processing technique for multiangle lidar sounding of poorly stratified polluted atmospheres: Theory and experiment

Cyle E. Wold; Vladimir Kovalev; Alex Petkov; WeiMin M. Hao

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Data processing technique for multiangle lidar sounding of poorly stratified polluted atmospheres: Theory and experiment

Informally Refereed

Authors:

Cyle E. Wold, Vladimir Kovalev, Alex Petkov, WeiMin M. Hao

Year:

2012

Type:

Abstract

Station:

Rocky Mountain Research Station

Source:

In: Proceedings of the Aerosol and Atmospheric Optics: Visibility and Air Pollution Specialty Conference; 24-28 September 2012; Whitefish, Montana. Extended Abstract #12. 6 p.

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Abstract

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

Citation

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 and Air Pollution Specialty Conference; 24-28 September 2012; Whitefish, Montana. Extended Abstract #12. 6 p.