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Boundary-layer turbulent processes and mesoscale variability represented by Numerical Weather Prediction models during the BLLAST campaign
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2016 (English)In: Atmospheric Chemistry and Physics Discussions, ISSN 1680-7367, E-ISSN 1680-7375Article in journal (Refereed) Submitted
Abstract [en]

This study evaluates the ability of three operational models, AROME, ARPEGE and ECMWF, to predict the boundary-layer turbulent processes and mesoscale variability observed during the Boundary Layer Late-Afternoon and Sunset Turbulence (BLLAST) field campaign. AROME is a 2.5 km limited area non-hydrostatic model operated over France, ARPEGE a global model with a 10 km grid-size over France and ECMWF a global model with a 16 km grid-size. We analyze the representation of the vertical profiles of temperature and humidity and the time evolution of near surface atmospheric variables as well as the radiative and turbulent fluxes for a total of 12 24h-long Intensive Observing Periods. Special attention is paid to the evolution of the turbulent kinetic energy that was sampled by a combination of independent instruments. For the first time, this variable, which is a central variable in the turbulence scheme used in AROME and ARPEGE, is evaluated with observations.

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Meteorology and Atmospheric Sciences
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URN: urn:nbn:se:uu:diva-278652DOI: 10.5194/acp-2015-1042OAI: oai:DiVA.org:uu-278652DiVA: diva2:906765
Available from: 2016-02-25 Created: 2016-02-25 Last updated: 2016-02-25

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Publisher's full texthttp://www.atmos-chem-phys-discuss.net/acp-2015-1042/

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Nilsson, Erik
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