Multiplicative numerical stochastic model of daily sums of liquid precipitation fields and its use for estimation of statistical characteristics of extreme precipitation regimes
V.A. Ogorodnikov, O.V. Sereseva
Institute of Computational Mathematics and Mathematical Geophysics of the Siberian Branch of the RAS, 6, Ac. Lavrentieva ave., 630090, Novosibirsk, Russia
Keywords: numerical stochastic model, indicator field, precipitation, heterogeneity
Abstract
The multiplicative approach to construction of numerical stochastic models of spatial and spatio-temporal fields of daily sums of liquid precipitation is considered. The approach is that the indicator fields of precipitation with the given correlation function and probabilities of precipitation and fields of the daily precipitation with the appropriate correlation function and one-dimensional distribution of probability are independently simulated. A final field is the product of these fields. The results of model verification and the results of research of properties of the statistical characteristics of extreme precipitation are presented.
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