BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Turbulence modelling for large-eddy simulation of the atmospheric 
 boundary layer - Rica Enriquez (DAMTP)
DTSTART:20131104T130000Z
DTEND:20131104T140000Z
UID:TALK47887@talks.cam.ac.uk
CONTACT:Doris Allen
DESCRIPTION:Large-eddy simulation (LES) resolves the large eddies in the f
 low while modeling the effects of smaller motions (turbulence) on those la
 rger eddies. Although the turbulence model can significantly affect the ac
 curacy of the LES\, simple turbulence models\, which are known to be less 
 accurate\, are widely used. The Generalized Linear Algebraic Subgrid-Scale
  (GLASS) model\, that actively couples momentum and heat transport\, is an
  alternative. GLASS is more complete than conventional subgrid-scale (SGS)
  models because it accounts for additional transport processes\, including
  production\, dissipation\, pressure redistribution\, and buoyancy.\n\nWit
 h the inclusion of an actively coupled turbulent heat flux model\, GLASS i
 s applicable to a range of atmospheric stability conditions for the unsatu
 rated atmosphere. LES at various resolutions in a neutral boundary layer f
 low demonstrate that the more physically complete GLASS model provides nea
 r-wall anisotropies and yields proper velocity profiles in the logarithmic
  layer. Its performance is consistent with that of other sophisticated SGS
  models. LES of the moderately convective boundary layer demonstrated that
  GLASS predicted the evolution of resolved quantities at least as well as 
 the LESs with simple models\, while including additional physics. Addition
 al simulations of the stable boundary layer and the transitioning boundary
  layer highlight that GLASS can be applied to various stability conditions
  without the need of tuning model coefficients. Finally\, at a given resol
 ution\, both snapshots of the spatial variations of vertical velocity and 
 correlograms show that GLASS captured the same large-scale structures\, bu
 t allowed better representation of smaller structures\, than a dynamic edd
 y viscosity model.\n
LOCATION:MR5\, Centre for Mathematical Sciences
END:VEVENT
END:VCALENDAR
