MPAS-A uses a global timestep (determined by the CFL condition on the smallest mesh cell) that substantially limits the resolution variation. The hierarchical time-stepping (HTS) feature implemented in ClusterTech Platform for Atmospheric Simulation (CPAS) relaxes this restriction by applying different time-steps to mesh cells of different sizes. This new feature enables extreme variable-resolution meshes and higher computational efficiency. This study evaluates the model results using HTS.
The ClusterTech Platform for Atmospheric Simulation (CPAS) is a cloud-based service platform which implements customized mesh generation and hierarchical time-stepping on Model for Prediction Across Scales - Atmosphere (MPAS-A (v6.3)) to better serve the computational needs of numerical atmospheric model users.