Time-varying stochastic turbulence model

Details Time-varying stochastic turbulence model Time-varying stochastic turbulence model

Jul 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006spie.6272e..94v&link_type=abstract

Advances in Adaptive Optics II. Edited by Ellerbroek, Brent L.; Bonaccini Calia, Domenico. Proceedings of the SPIE, Volume 6272

Physics

Optics

Scientific paper

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.

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