Statistical reconstruction of temperature and wind profiles as applied to the problem of numerical forecasting of atmospheric pollution processes over limited areas

V. S. Komarov; A. V. Kreminskii; N. Ya. Lomakina; K. Ya. Sinyova

doi:10.1117/12.370540

19 November 1999 Statistical reconstruction of temperature and wind profiles as applied to the problem of numerical forecasting of atmospheric pollution processes over limited areas

V. S. Komarov, A. V. Kreminskii, N. Ya. Lomakina, K. Ya. Sinyova

Author Affiliations +

Proceedings Volume 3983, Sixth International Symposium on Atmospheric and Ocean Optics; (1999) https://doi.org/10.1117/12.370540
Event: Sixth International Symposium on Atmospheric and Ocean Optics, 1999, Tomsk, Russian Federation

Abstract

The results of the statistical evaluation of quality and efficiency of the modified method of clustering of the arguments (MMCA) are discussed for applications in numerical forecast (for a period of 12 - 48 hours) of the averaged over layers temperature profiles and profiles of the zonal and meridional mean wind components. This procedure is aimed at providing a meteorological support in the problem of forecasting atmospheric pollution processes. The statistical evaluation of the quality of this method carried out using the data of long-term observations at two aerological stations: Brest and Novosibirsk has shown the algorithm MMCA to be efficient enough for the preliminary calculations of the average temperature for a period up to 48 hours, and for mean wind components -up to 24 hours.

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V. S. Komarov, A. V. Kreminskii, N. Ya. Lomakina, and K. Ya. Sinyova "Statistical reconstruction of temperature and wind profiles as applied to the problem of numerical forecasting of atmospheric pollution processes over limited areas", Proc. SPIE 3983, Sixth International Symposium on Atmospheric and Ocean Optics, (19 November 1999); https://doi.org/10.1117/12.370540

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