28 February 2002 Optimal regressions to estimate aerosol parameters by data of two- and three-wavelength laser sounding
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Proceedings Volume 4678, Eighth International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; (2002) https://doi.org/10.1117/12.458451
Event: Eighth Joint International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 2001, Irkutsk, Russian Federation
Abstract
A problem on introduction of additional a prior assumptions to construct a closed set of lidar equations at several wavelengths and on their solutions to estimate microphysical parameters of atmospheric aerosols by multi-frequency laser sounding data is discussed. Some regression relations between spectral values of aerosol backscatter and extinction coefficients in the visible and near-IR are used as the assumptions. The regressions are constructed by model considerations. The optical atmospheric aerosol model of the World Meterological Organization is taken as a basic one. The constructed regressions enable one to evaluate the solvability of, generally, ill-conditioned lidar equations and the errors in the solutions as well as to make some estimations with respect to the determination of aerosol microstructural parameters. This work has been directed towards the design of procedures and algorithms to process laser sounding data gathered routinely by lidar setups of the Institute of Physics, Belarus National Academy of Sciences, Minsk, Republic of Belarus within the frame of a number of International and National research and development programs.
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Vladimir V. Barun, Vladimir V. Barun, Andrey I. Bril, Andrey I. Bril, Vitaliy P. Kabashnikov, Vitaliy P. Kabashnikov, V. M. Popov, V. M. Popov, Anatoly P. Chaikovsky, Anatoly P. Chaikovsky, } "Optimal regressions to estimate aerosol parameters by data of two- and three-wavelength laser sounding", Proc. SPIE 4678, Eighth International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, (28 February 2002); doi: 10.1117/12.458451; https://doi.org/10.1117/12.458451
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