Vol. 23, issue 12, article # 5

Abstract:

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.

Keywords:

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