Share Email Print

Proceedings Paper

Statistical reconstruction of temperature and wind profiles as applied to the problem of numerical forecasting of atmospheric pollution processes over limited areas
Author(s): V. S. Komarov; A. V. Kreminskii; N. Ya. Lomakina; K. Ya. Sinyova
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 19 November 1999
PDF: 8 pages
Proc. SPIE 3983, Sixth International Symposium on Atmospheric and Ocean Optics, (19 November 1999); doi: 10.1117/12.370540
Show Author Affiliations
V. S. Komarov, Institute of Atmospheric Optics (Russia)
A. V. Kreminskii, Institute of Atmospheric Optics (Russia)
N. Ya. Lomakina, Institute of Atmospheric Optics (Russia)
K. Ya. Sinyova, Institute of Atmospheric Optics (Russia)

Published in SPIE Proceedings Vol. 3983:
Sixth International Symposium on Atmospheric and Ocean Optics
Gennadii G. Matvienko; Vladimir P. Lukin, Editor(s)

© SPIE. Terms of Use
Back to Top