19th Symposium on Boundary Layers and Turbulence

P1.1

Studying the Boundary Layer Late Afternoon and Sunset Turbulence (BLLAST)

David Pino, Technical University of Catalonia, Castelldefels, Spain; and M. Lothon, W. M. Angevine, J. Bange, R. J. Beare, G. Canut, F. Couvreux, H. Delbarre, F. Gibert, B. Gioli, H. J. J. Jonker, D. Lenschow, F. Lohou, L. Mahrt, E. Pardyjak, and J. Vilà-Guerau de Arellano

At the end of the afternoon, when the surface heat fluxes start to sharply decrease, the convective boundary layer turns from a convective well-mixed layer to an intermittently turbulent residual layer overlying a stably stratified boundary layer. This transition raises several observational and modeling issues. Even the definition of the boundary layer during this period is fuzzy, since there is no consensus on what criteria to use and no simple scaling laws to apply. The dynamics of the boundary layer during this period plays an important role in such diverse atmospheric phenomena as transport and diffusion of trace constituents or wind energy production.

This phase of the diurnal cycle remains largely unexplored, partly due to the difficulty of measuring weak and intermittent turbulence, anisotropy, horizontal heterogeneity, and rapid time changes.

The Boundary Layer Late Afternoon and Sunset Turbulence (BLLAST) project is gathering about thirty research scientists from the European Union and the United States to work on this issue. A field campaign (BLLAST-FE) is planned for spring or summer 2011 in Europe. BLLAST will use these observations, as well as previous data-sets, large-eddy and direct numerical simulations, and mesoscale modeling to better understand the processes, suggest new parameterizations, and evaluate forecast models during this transitional period.

We will present the issues raised by the late afternoon transition and our strategy to study it.

extended abstract  Extended Abstract (124K)

Poster Session 1, Boundary-layer Observations
Monday, 2 August 2010, 6:00 PM-7:30 PM, Castle Peak Ballroom

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