Abstract:
The EPIC method is a hybrid method where Lagrangian parcels evolve in the flow field which is efficiently obtained through inversion of the gridded vorticity field. The flow properties are communicated between the Eulerian grid and the Lagrangian parcels via linear interpolation. In addition to all the basic properties for describing a flow (e.g. vorticity, temperature), the ellipsoidal parcels can carry additional passive tracers. To avoid extremely elongated parcels, they are split, and on the other hand they are merged if they are very small to prevent an uncontrolled increase in computing costs. In this talk I will present the method and show results where we compared EPIC with a large eddy simulation (LES), a direct numerical simulation (DNS) model and the Moist Parcel-In-Cell (MPIC) method.
Bio:
After graduating in Computational Science and Engineering (CSE) in 2015, Matthias started as a PhD student in the Accelerator Modelling and Advanced Simulations (AMAS) group at PSI. There he developed an adaptive mesh refinement (AMR) method for simulations of high-intensity cyclotrons and investigated neighboring bunch effects. Since the end of 2020, he has been a postdoctoral student in the Vortex Dynamics Research Group at the University of St Andrews. His current research focuses on parcel-in-cell methods for atmospheric simulations to investigate cloud convection. Matthias is still involved in research at PSI, in particular in the development of the performance portable particle-mesh library IPPL. His main interests is in novel algorithms and high-performance computing.
Laboratory for Simulation and Modeling