COST 728:

Enhancing mesoscale meteorological modelling capabilities for air pollution and dispersion applications

The general aim of this work is to better understand and improve the coupling between numerical weather prediction (NWP) and dispersion models. In most cases, the driving NWP models do not provide all the variables which are required by the dispersion simulation. Consequently, an interface or meteorological pre-processor is used between these two models, which derives all the necessary - in most cases turbulence related - variables. To further investigate the role of pre-processors, a detailed intercomparison of the post-diagnosed turbulence characteristics with measurements, Large Eddy Simulation data and similarity theory approaches is performed. Impacts of different coupling approaches to the dispersion process are tested with the Lagrangian particle dispersion model LPDM of the German Weather Service. This model is coupled off-line with the COSMO model, which is used operationally at MeteoSwiss for numerical weather prediction.