Vol. 16, issue 10, article # 9
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.
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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.
