Vol. 15, issue 08, article # 17

Komarov V.S., Lomakina N.Ya., Matvienko G.G., Popov Yu.B., Popova A.I. Super-short-term forecasting of the atmospheric aerosol evolution based on dynamic-stochastic approach and lidar data. // Atmospheric and oceanic optics. 2002. V. 15. No. 08. P. 675-678.
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Methodical foundations and algorithms of solving the problem of super-short-term forecast of the atmospheric aerosol evolution are treated based on the dynamic-stochastic approach. The approach uses the apparatus of the Kalman filtering. The quality of the algorithms is tested by the data of lidar sensing conducted in the vicinity of Tomsk.