Journal ArticleDOI
Criteria for the selection of stochastic models of particle trajectories in turbulent flows
TLDR
In this paper, the relationships between the various criteria are examined for a very general class of models and it is shown that most of the criteria are equivalent and also how a model can be designed to satisfy these criteria exactly and to be consistent with inertial-subrange theory.Abstract:
Many different random-walk models of dispersion in inhomogeneous or unsteady turbulence have been proposed and several criteria have emerged to distinguish good models from bad. In this paper the relationships between the various criteria are examined for a very general class of models and it is shown that most of the criteria are equivalent. It is also shown how a model can be designed to satisfy these criteria exactly and to be consistent with inertial-subrange theory. Some examples of models that obey the criteria are described. As an illustration some calculations of dispersion in free-convective conditions are presented.read more
Citations
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Journal ArticleDOI
Lagrangian Particle Dispersion Models in the Grey Zone of Turbulence: Adaptations to FLEXPART-COSMO for Simulations at 1 km Grid Resolution
A Data System for Visualizing 4-D Atmospheric CO2 Models and Data
TL;DR: Examples of how KML representations of atmospheric CO2 datasets and model outputs can be visualized with virtual globe client applications are shown, allowing a diverse group of users to explore the complex scientific datasets that are central to the discussion of climate change and global warming.
Book ChapterDOI
A fast lagrangian particle model for use with three-dimensional mesoscale models
W. Physick,P. Hurley +1 more
TL;DR: The Lagrangian particle dispersion models are based on a Langevin equation for the velocity of a fluid particle, and can take a number of different forms, depending mainly on the type of turbulence being simulated.
Journal ArticleDOI
Effect of the local wind reduction zone on seed dispersal from a single shrub element on sparsely vegetated land.
TL;DR: The results of this study may improve the currently used mechanistic models by either increasing their flexibility in case studies or by helping explain the variations in the observed distributions.
Journal ArticleDOI
Turbulence scale dependence of the richardson constant in lagrangian stochastic models
TL;DR: In this paper, the relative dispersion properties of Lagrangian stochastic models were investigated, and it was shown that the properties depend solely on a non-dimensional parameter, which measures the rela- tive weight of the Lagrangians to Eulerian scales.
References
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Journal ArticleDOI
An Introduction to Probability Theory and Its Applications.
Journal ArticleDOI
Turbulence Structure in the Convective Boundary Layer
TL;DR: In this paper, a boundary layer experiment conducted over a flat site in northwestern Minnesota is discussed, where wind and temperature fluctuations near the ground were measured with AFCRL's fast-response instrumentation on a 32 m tower with MRU probes attached at five different heights to the tethering cable of a 1300 m2 kite balloon.
Book
Theory and Applications of Stochastic Differential Equations
Zeev Schuss,Robert O'Malley +1 more
TL;DR: Presents theory, sources, and applications of stochastic differential equations of Ito's type; those containing white noise; and the role of partial differential equations in this context.