OPTIKA ATMOSFERY I OKEANA JOURNAL
V.E. ZUEV INSTITUTE OF ATMOSPHERIC OPTICS
Vol. 16, issue 10, article # 9
pdf Zuev V. E., Komarov V. S., Ilin S. N., Popov Yu. B., Popova A. I., Suvorov S. S. Spatial prediction of atmospheric parameters in the mesoscale region based on the dynamic-stochastic approach. // Atmospheric and oceanic optics. 2003. V. 16. No. 10. P. 844-849.Copy the reference to clipboard
Abstract:
An original methodology and algorithms for spatial prediction of atmospheric parameters in the mesoscale region based on the use of Kalman filtering and the generalized dynamic-stochastic model constructed based on the two-dimensional equation of mesoscale diffusion are considered. The results of statistical assessment of the quality of the algorithms proposed are discussed as applied to the problem of spatial prediction of mesoscale temperature and wind fields.