History of Lagrangian Stochastic Models for Turbulent Dispersion

2013 ◽  
pp. 19-36 ◽  
Author(s):  
D. J. Thomson ◽  
J. D. Wilson
Keyword(s):  
Stochastic Models ◽  
Turbulent Dispersion ◽  
Lagrangian Stochastic Models ◽  
History Of

Parameterization of dispersion in two-dimensional turbulence

2001 ◽  
Vol 439 ◽  
pp. 279-303 ◽  
Author(s):  
C. PASQUERO ◽  
A. PROVENZALE ◽  
A. BABIANO
Keyword(s):  
Velocity Distribution ◽  
Single Particle ◽  
Stochastic Models ◽  
Particle Dispersion ◽  
Turbulent Dispersion ◽  
Two Dimensional ◽  
Component Process ◽  
Velocity Autocorrelation ◽  
Coherent Vortices ◽  
Non Gaussian

We investigate the performance of standard stochastic models of single-particle dispersion in two-dimensional turbulence. Owing to the presence of coherent vortices, particle dispersion in two-dimensional turbulence is characterized by a non-Gaussian velocity distribution and a non-exponential velocity autocorrelation, and it cannot be properly captured by either linear or nonlinear stochastic models with a single component process. Based on physical and dynamical considerations, we introduce a family of two-process stochastic models that provide a better parameterization of turbulent dispersion in rotating barotropic flows.

Intercomparison of Lagrangian stochastic models based on two different PDFs

2000 ◽  
Vol 14 (1/2/3/4/5/6) ◽  
pp. 225 ◽  
Author(s):  
E. Ferrero ◽  
D. Anfossi ◽  
G. Tinarelli ◽  
M. Tamiazzo
Keyword(s):  
Stochastic Models ◽  
Lagrangian Stochastic Models
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