A new Lagrangian in-time particle simulation module (Itpas v1) for atmospheric particle dispersion

Abstract. Trajectory models are intuitive tools for airflow studies. But in general, they limited to non-turbulent, i.e. laminar flow, conditions. Therefore, trajectory not particularly suitable investigating within the turbulent atmospheric boundary layer. To overcome this, a common approach is handling uncertainty as random deviation from mean path order create statistic of possible solutions which envelops path. This well known Lagrangian particle dispersion model (LPDM). However, decisive factor representation turbulence model, widely used such FLEXPART and HYSPLIT use an approximation. A conceivable improvement could be parameterisation based on kinetic energy (TKE) at high temporal resolution. Here, we elaborated this developed LPDM Itpas, coupled online German Weather Service's mesoscale weather forecast COSMO. It benefits prognostically calculated TKE high-frequency wind information. We demonstrate model's applicability case study agricultural emission eastern Germany. The results obtained discussed with regard ability describe transport Ultimately, simulations performed suggest that newly introduced method prognostic sufficiently represents transport.