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Proceedings Paper

Dynamic-stochastic spatial forecast of mesoscale temperature and wind fields as applied to estimation of technogenic pollution distribution
Author(s): Yu. B. Popov; V. S. Komarov; S. N. Ilyin; A. V. Kreminskii; V. A. Kurakov; V. V. Kuryshev; N. Ya. Lomakina; A. I. Popova; S. S. Suvorov
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Paper Abstract

Original methodology and algorithms of spatial extrapolation of mesometeorological fields to the territory uncovered with observational data using the extended Kalman filter filter algorithm and the generalized dynamic-stochastic model of the spatiotemporal behavior of the parameters described by the first-order stochastic differential equations are considered. The results of statistical estimation of the quality of the suggested algorithms used for spatial prediction of the temperature and wind velocity fields on the mesoscale level are discussed.

Paper Details

Date Published: 28 March 2003
PDF: 9 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: 10.1117/12.497290
Show Author Affiliations
Yu. B. Popov, Institute of Atmospheric Optics (Russia)
V. S. Komarov, Institute of Atmospheric Optics (Russia)
S. N. Ilyin, Institute of Atmospheric Optics (Russia)
A. V. Kreminskii, Institute of Atmospheric Optics (Russia)
V. A. Kurakov, Tomsk State Univ. of Control Systems and Radioelectronics (Russia)
V. V. Kuryshev, Institute of Atmospheric Optics (Russia)
N. Ya. Lomakina, 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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