OPTIKA ATMOSFERY I OKEANA JOURNAL
V.E. ZUEV INSTITUTE OF ATMOSPHERIC OPTICS
Vol. 15, issue 08, article # 17
pdf 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.Copy the reference to clipboard
Abstract:
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.