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Proceedings Paper

Polynomial algorithm of the spatial forecast of atmospheric state parameters based on the Kalman filtering and its application
Author(s): V. A. Kurakov; V. S. Komarov; A. V. Kreminskii; N. Ya. Lomakina; Yu. B. Popov; A. I. Popova; S. S. Suvorov
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Paper Abstract

In the paper, the problem of spatial forecsaet of mesoscale fields at the point of space uncovered by meteorological information is discussed. The algorithms for estimating and forecasting the atmospheric parameters based on Kalman filtering theory. The offered algroithm takes into account horizontal statistical structure of a field at separate atmospheric levels and its time dynamics. The atmospheric parameter in a point is defined on the basis of a second-order polynomial model. The offered algorithm of the spatial forecast is investigated on the data long-term balloon observations for layer-by-layer averaging of temperature, zonal and meridional 1 wind velocity components.

Paper Details

Date Published: 28 March 2003
PDF: 8 pages
Proc. SPIE 5027, Ninth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics. Part II: Laser Sensing and Atmospheric Physics, (28 March 2003); doi: 10.1117/12.497288
Show Author Affiliations
V. A. Kurakov, Tomsk State Univ. of Control Systems and Radioelectronics (Russia)
V. S. Komarov, Institute of Atmospheric Optics (Russia)
A. V. Kreminskii, Institute of Atmospheric Optics (Russia)
N. Ya. Lomakina, Institute of Atmospheric Optics (Russia)
Yu. B. Popov, Institute of Atmospheric Optics (Russia)
A. I. Popova, Institute of Atmospheric Optics (Russia)
S. S. Suvorov, Institute of Atmospheric Optics (Russia)


Published in SPIE Proceedings Vol. 5027:
Ninth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics. Part II: Laser Sensing and Atmospheric Physics
Gennadii G. Matvienko; Vladimir P. Lukin, Editor(s)

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