Vol. 17, issue 07, article # 5

Komarov V.S., Popova A.I., Popov Yu.B. Adaptive algorithm for spatial prediction of meteorological fields based on the Kalman filter and the second-order polynomial model. // Atmospheric and oceanic optics. 2004. V. 17. No. 07. P. 500-504.
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Abstract:

An adaptive algorithm for spatial prediction of meteorological fields based on the use of Kalman filter and the second-order polynomial model with coefficients varying in time is considered. This algorithm is capable of accounting for the variable configuration of the local network of aerological stations. The results of optimization (from the viewpoint of the minimum prediction error) of the number of stations involved are discussed. The quality of the adaptive algorithm developed is evaluated for the case of its application to the procedure of objective analysis of mesoscale wind and temperature fields.

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