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

被引：0

作者：

Komarov, VS ^{[1
]}

Kreminskii, AV ^{[1
]}

Lomakina, NY ^{[1
]}

Sinyova, KY ^{[1
]}

机构：

[1] Russian Acad Sci, Inst Atmospher Opt, Siberian Branch, Tomsk 634055, Russia

来源：

SIXTH INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS | 1999年 / 3983卷

关键词：

modified method of clustering of the arguments; short-range forecast; average temperature; wind vector components;

D O I：

10.1117/12.370540

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

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.

引用

页码：522 / 529

页数：8