Paper
28 June 2006 Time-varying stochastic turbulence model
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Abstract
In this paper we present a new stochastic model for time-varying turbulence. The model can be viewed as a linearization of the Navier-Stokes equation, with deterministic drift and diffusion terms, plus an additional stochastic driving term. Fixed-time realizations of the model have Kolmogorov statistics, but the diffusion and stochastic driving terms yield "boiling" behavior that is different from the Taylor frozen flow model.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Curtis R. Vogel "Time-varying stochastic turbulence model", Proc. SPIE 6272, Advances in Adaptive Optics II, 62722Z (28 June 2006); https://doi.org/10.1117/12.669862
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Cited by 2 scholarly publications.
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KEYWORDS
Stochastic processes

Turbulence

Adaptive optics

Diffusion

Systems modeling

Fourier transforms

Mathematical modeling

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