Geophysical Research Abstracts, Vol. 9, 03326, 2007 SRef-ID: 1607-7962/gra/EGU2007-A-03326 © European Geosciences Union 2007 Assessing emission fluxes of isoprene over Europe: Combination of meteorology and land use information on a high spatial resolution M. Karl (1), A. Dosio (1), R. Köble (1), R. Lenz (2), L. Ganzeveld (3) and G. Seufert (1) (1) Joint Research Centre, Institute for Environment and Sustainability, Ispra, Italy, (2) Institut für Angewandte Forschung (IAF), Fachhochschule Nürtingen, Nürtingen, Germany, (3) Department of Earth System Sciences, Wageningen University and Research Centre, Wageningen, Netherlands (matthias.karl@jrc.it / Fax: (39)0332786291 / Phone: (39)0332786761) Emissions of isoprene are strongly dependent on leaf temperature and photosynthetic photon flux density. Temperature and surface solar radiation are key driving variables in published emission algorithms (Guenther et al., 1993, 1995 (G95), 2006 (MEGAN); Schuh et al. 1997). The European landscape is characterised by a great variety of climatic and orographic zones and biomes, ranging from boreal forests in Scandinavia and Russia to Mediter- ranean shrub vegetation. For millennia, the European land cover has been intensively modified by man to create an extremely patchy landscape; therefore it is of great im- portance to use high resolved spatial meteorological surface data and land cover data for modelling isoprene emissions. Distribution of tree species from the ICP Forest level1 network, and of crop species from the CAPRI-project were combined with land cover (CLC2000/GLC2000) maps to a new land cover map covering the European continental domain (-20˚W,20˚N to 40E˚,70˚N). The forest raster maps contain 115 tree species (Köble and Seufert, 2001), the crops raster maps 26 crop species and the CORINE Land Cover 2000 contains 50 vegetation classes. Information is available on a spatial resolution of 1 km by 1 km. For the purpose of this study all land use data was aggregated to 10 km by 10 km and projected on a regular latitude/longitude grid.