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Τίτλος: Atmospheric convection over complex terrain and urban canopy: Non-local ventilation mechanisms and application to pollution-dispersion and air-quality problems
Συγγραφείς: Zilitinkevich, Sergej S. 
Hunt, J. C.R. 
Grachev, A. A. 
Esau, I. N. 
Lalas, D. P. 
Akylas, Evangelos 
Tombrou, M. 
Fairall, C. W. 
Fernando, H. J.S. 
Baklanov, A. 
Joffre, S. M. 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Λέξεις-κλειδιά: Convection;Environmental modeling;Semi-organized eddies;Surface fluxes
Ημερομηνία Έκδοσης: 27-Ιου-2007
Πηγή: NATO Security through Science Series C: Environmental Security 2007, Pages 163-164
Περιοδικό: NATO Security through Science Series C: Environmental Security 
Περίληψη: modern atmosphere-hydrosphere-biosphere model chains, convective boundary-layer models and parameterization packages represent the most important coupling agents, which essentially control the overall quality of predictions from coupled models. This paper focuses on the enhancement of turbulent mixing due to large-scale semi-organized eddies and interactions between large eddies and surface roughness elements up to very high obstacles such as buildings, rocks and hills. Large-scale structures in the shear-free convective boundary layers consist of strong plumes and wider but weaker downdraughts. Close to the surface they cause local "convective winds" blowing towards the plume axes. The latter generate turbulence, in addition to its generation by the buoyancy forces, and strongly contribute to the turbulent fluxes of heat and other scalars. This mechanism is especially important over very rough surfaces. The proposed model is validated against data from measurements over different sites and also through large-eddy simulation (LES) of convective boundary layers (CBLs) over a range of surfaces from very smooth to extremely rough. Excellent correspondence between model results, field observations and large-eddy simulations is achieved. The obtained resistance and heat/mass transfer laws are recommended for practical use inmeso-scale, weatherprediction, climate and other environmental models. © Springer 2007.
URI: https://hdl.handle.net/20.500.14279/14170
ISSN: 18714668
DOI: 10.1007/978-1-4020-5877-6_15
Type: Article
Affiliation: Division of Atmospheric Sciences 
Nansen Environmental and Remote Sensing Centre 
University College London 
University of Colorado 
Institute of Atmospheric Physics 
National Observatory of Athens 
National and Kapodistrian University of Athens 
Environmental Technology Laboratory 
Arizona State University 
Danish Meteorological Institute 
Finnish Meteorological Institute 
Publication Type: Peer Reviewed
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