Estimation of the average particle flux in a stochastically homogeneous medium by Monte Carlo method
-
Galiya Z. Lotova
and
Gennady A. Mikhailov
Abstract
The paper is focused on the study of the superexponential growth of the average number of particles in a stochastically homogeneous propagating medium. A mosaic Voronoi field (‘mosaic’) is considered as a random density model. The notion of ‘effective’ correlation radius is introduced to compare the results with previously obtained estimates of superexponential parameters for a spherically symmetric layered mosaic. It is shown that transition from the layered random density model to a chaotic one preserving the correlation scale and one-dimensional distribution weakens the ‘superexponential’ property of the particle flux.
Funding statement: The work was carried out within the framework of the State Task of the ICM&MG, SB RAS (project No. 0251–2021–0002).
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Articles in the same Issue
- Contents
- Stochastic perturbation of tendencies and parameters of parameterizations in the global ensemble prediction system based on the SL-AV model
- INM-IM: INM RAS Earth ionosphere F region dynamical model
- Estimation of the average particle flux in a stochastically homogeneous medium by Monte Carlo method
- Sensitivity of functionals of the solution to a variational data assimilation problem with heat flux reconstruction for the sea thermodynamics model
Articles in the same Issue
- Contents
- Stochastic perturbation of tendencies and parameters of parameterizations in the global ensemble prediction system based on the SL-AV model
- INM-IM: INM RAS Earth ionosphere F region dynamical model
- Estimation of the average particle flux in a stochastically homogeneous medium by Monte Carlo method
- Sensitivity of functionals of the solution to a variational data assimilation problem with heat flux reconstruction for the sea thermodynamics model
