In this study, we tested the influence of measured profiles of turbulence statistics on Lagrangian Stochastic footprint modeling within and above a tall canopy. A wavelet tool (Thomas and Foken, 2005) was used to differentiate between five different regimes of coupling between ground surface, canopy and atmospheric surface layer (Thomas and Foken, 2006a). Each exchange regime has individual characteristics of the turbulent flow field. Comparison of the results based on these locally measured profiles with those based on the one-and-half order closure model by Massman and Weil (1999) revealed significant differences in the form and the position of footprint functions. These differences could be linked to the different exchange regimes, indicating that it may not be sufficient to run a footprint analysis with just a single set of profiles. Concerning the effect of the exchange regime on the footprint calculations, results can be organized in three groups. First, in case of wave motions (W), footprint calculations are generally unreliable, as the turbulence is not well organized, and the flow is most probably not stationary as required for footprint modeling. Second, for exchange regimes with the lower section of the profiles decoupled from the atmospheric surface layer (Dc, Ds), significant differences between footprints based on measured or modeled profiles were observed. These can be attributed to characteristics of the turbulence profiles such as strong gradients or the occurrence of local maxima or minima, which cannot be reproduced by the modeling approaches. As a decoupling of the lower profile sections was observed for more the 50 percent of the WALDATEM-2003 dataset analyzed in this study, we conclude that conditions as such are likely to be important for sites with tall canopies of at least medium density. Consequently, profiles of the flow statistics considering this effect could significantly enhance the accuracy of LS footprint modeling. Third, for exchange regimes which at least partly couple the full canopy space to the atmospheric surface layer (Cs, C), well-mixed conditions are observed throughout the canopy space, and footprints based on profiles of modeled turbulence statistics are very similar to those based on the measured flow statistics. Future work on this project will include the derivation of mean profiles of flow statistics for each exchange regime. It will also analyze how atmospheric stability influences the profiles, and will discuss the flow of the turbulent field in the spatial context of the experimental site, where surface conditions vary with wind direction. In footprint modeling, three-dimensional footprints will be calculated to assess the effect of the locally measured profiles on the composition of land cover types within the source weight function. In addition, we will use the improved profiles in an advanced version of the LS footprint model which allows for changing wind directions within the canopy space.