This article is cited in 2 papers

On minimization of risk for restoration of atmospheric data

L. N. Romanov

Western-Siberian Scientific-Research Hydrometeorological Institute

Abstract: This paper deals with restoration of gaps in meteorological fields aimed at the weather simulation. The universal approach, based on the local approximation which allows us to restore gaps in the meteorological fields in various conditions, and at the same time to realize the step-by-step weather forecasting, is described. The results of the unit gap restorations for some meteorological elements are presented. These results are compared to those obtained with the local averaging and by the inertia methods. The possibilities of the data restoration as well as the step-by-step prediction in the case when the global meteorological data are available are discussed.

Key words: average risk, approximation, small sample, multidimensional fields, process.

UDC: 551.509+314.001.57

Received: 19.09.2008
Revised: 26.11.2008

 English version: Numerical Analysis and Applications, 2009, 2:2, 173–178

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