ACP Atmospheric Chemistry and Physics ACP 1680-7324 Copernicus GmbH Göttingen, Germany 10.5194/acp-8-523-2008 Towards improving the simulation of meteorological fields in urban areas through updated/advanced surface fluxes description Baklanov A. 1 Mestayer P. G. 2 Clappier A. 3 Zilitinkevich S. 4 Joffre S. 5 Mahura A. 1 2 Nielsen N. W. 1 Meteorological Research Department, Danish Meteorological Institute, DMI, Copenhagen, Denmark Laboratoire de Mécanique des Fluides, UMR CNRS 6598, Ecole Centrale de Nantes, ECN, France La section Sciences et Ingénierie de l'Environnement (SSIE), Ecole Polytechnique Fédérale de Lausanne, EPFL, Switzerland Division of Atmospheric Sciences, University of Helsinki, Finland Research & Development, Finnish Meteorological Institute, FMI, Helsinki, Finland 06 02 2008 8 3 523 543 This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. This article is available from http://www.atmos-chem-phys.net/8/523/2008/acp-8-523-2008.html The full text article is available as a PDF file from http://www.atmos-chem-phys.net/8/523/2008/acp-8-523-2008.pdf

The increased resolution of numerical weather prediction models allows nowadays addressing more realistically urban meteorology and air pollution processes. This has triggered new interest in modelling and describing experimentally the specific features and processes of urban areas. Recent developments and results performed within the EU-funded project FUMAPEX on integrated systems for forecasting urban meteorology and air pollution are reported here. Sensitivity studies with respect to optimum resolution, parametrisation of urban roughness and surface exchange fluxes and the role of urban soil layers are carried out with advanced meso- or sub-meso meteorological models. They show that sensible improvements can be achieved by higher model resolution that is accompanied with better description of urban surface features. Recommendations, especially with respect to advanced urban air quality forecasting and information systems, are given together with an assessment of the needed further research and data.

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