Vol. 12, issue 08, article # 13

pdf Komarov V. S., Kreminskii A. V. Comparative estimate of different methods for objective analysis of temperature and wind fields in the problems of mesoscale diagnostics and forecast of atmospheric pollution processes. // Atmospheric and oceanic optics. 1999. V. 12. No. 08. P. 700-705.
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Abstract:

We present a statistical approach to estimating the quality and efficiency of different methods for objective three or four-dimension analysis of mesoscale fields of temperature and wind. The methods use optimal interpolation and extrapolation of a random process as well as modified method of clustering of arguments (MMCA) developed for meteorological support in the problems of ecological diagnostics and forecast of the processes of atmospheric polluting. Statistical analysis of these methods has been conducted based on many-year radiosonde observations at 5 aerological stations and has shown that the method MMCA is the best in three-dimension case (together with the method of optimal interpolation). In the four-dimension case the best results were obtained with the same complex algorithm, but extended by the method of optimal extrapolation of a random process used only in ground measurements.