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Multiplicative numerical stochastic model of daily sums of liquid precipitation fields and its use for estimating statistical characteristics of extreme precipitation regimes

  • Atmospheric Radiation, Optical Weather, and Climate
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Abstract

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.

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Correspondence to V. A. Ogorodnikov.

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Original Russian Text © V.A. Ogorodnikov, O.V. Sereseva, 2015, published in Optika Atmosfery i Okeana.

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Ogorodnikov, V.A., Sereseva, O.V. Multiplicative numerical stochastic model of daily sums of liquid precipitation fields and its use for estimating statistical characteristics of extreme precipitation regimes. Atmos Ocean Opt 28, 328–335 (2015). https://doi.org/10.1134/S1024856015040107

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  • DOI: https://doi.org/10.1134/S1024856015040107

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