nonadiabatic pulsating models, it is shown that the global compression/expansion of the atmosphere provokes the variation of the turbulence. The turbulent velocity reaches its maximum, of about 7 km s −1, at minimum radius, and decreases up to 2kms −1 during the expansion of the star. It is also shown

Abstract An overview is presented of variational and multiscale methods used in Large-Eddy Simulations of turbulence. Results for the problem of bypass transition of a boundary layer are presented illustrating the per-formance of a recently developed method.

for resolving the detailed boundary-layer structure and overlying capping inversion. Surface fluxes are represented interms of similarity theory while turbulent diffusivities above the surface layer are formulated in terms of bulk similarity considerations and matching conditions at the top of the surface layer

When sufficient energy is steadily supplied to a fluid, the ensuing dynamical behavior involves many spatial and temporal scales and energy is dissipated efficiently. For instance when sufficiently strong heat is supplied against the pull of gravity to a fluid, the heat flux due to fluid flow convection exceeds the

Abstract. Three-dimensional wind velocity components were measured above and within a uniform almond orchard. Turbulent statistics associated with the turbulent flow inside the canopy are examined in detail. Turbulence in an almond orchard is characterized by relatively high turbulent intensities

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Large Eddy Simulation (LES) is an e#cient computational tool for turbulence simulation. Variational Multiscale (VMS) is a new paradigm for LES that uses variational projection instead of spatial filtering that obviates many issues related to spatial filtering in traditional LES. VMS for a fully

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We recently developed a new approach to get a stabilized image from a sequence of frames acquired through atmospheric turbulence. The goal of this algorihtm is to remove the geometric distortions due by the atmosphere movements. This method is based on a variational formulation and is efficiently

. Simulations of the three-dimensional wake for xed Reynolds number and increasing spanwise dimen-sion show that large systems evolve to a state of spatiotemporal chaos, and suggest that three-dimensionality in the wake leads to irregular states and fast transition to turbulence at Reynolds numbers just beyond