Multiplicative numerical stochastic model of daily sums of liquid precipitation fields and its use for estimating statistical characteristics of extreme precipitation regimes
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The multiplicative approach to constructing numerical stochastic models of spatial and spatial-temporal fields of daily liquid precipitation sums on a regular grid is considered. The approach involves independent simulation of precipitation indicator fields with a given correlation function and probabilities of precipitation and fields of precipitation sums with the corresponding correlation function and one-dimensional distribution. The final field is the product of these fields. Verification results for the model on studying properties of statistical characteristics of extreme precipitations are presented.
Keywordsnumerical stochastic model indicator fields precipitation inhomogeneity
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