Vol. 23, issue 12, article # 5

Komarov V. S., Dubovik K. Yu. Spatial interpolation of meteorological fields with the use of low-parametrical dynamic-stochastic model with a vertical component. // Optika Atmosfery i Okeana. 2010. V. 23. No. 12. P. 075-1079 [in Russian].
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A new method of spatial interpolation of fields of air temperature and wind velocity components in low troposphere is considered. The method is based on the linear Kalman filter algorithm and a low parametrical dynamic-stochastic model with a vertical component. The quality of statistical estimates of the suggested algorithm of spatial interpolation is considered. The results are compared with the algorithm, using 4D-dynamic stochastic model.


Kalman filter, spatial interpolation, data assimilation, numerical modeling, low parametrical dynamic-stochastic model