OPTIKA ATMOSFERY I OKEANA JOURNAL
V.E. ZUEV INSTITUTE OF ATMOSPHERIC OPTICS
Vol. 16, issue 02, article # 16
pdf Komarov V. S., Ilin S. N., Kreminskii A. V., Lomakina N. Ya., Matvienko G. G., Popov Yu. B. On the experience of using the Kalman filtering algorithm for ultra-short-term prediction of mean wind components based on lidar data. // Atmospheric and oceanic optics. 2003. V. 16. No. 02. P. 158-162.Copy the reference to clipboard
Abstract:
The principles and algorithms for realizing the method of ultra-short-term prediction of atmospheric parameters using the Kalman filtering are considered, and results of their qualitative estimation based on the data of lidar wind measurements are presented.