CPAS 128-to-5 km mesh contains 43,580 horizontal grid cells. It includes 5 regions covering ‘Asia’, ‘Himalaya’, ‘Southern China’, ‘Guangdong’ and ‘HongKong’ where the resolution transits from 128 km (outside) to 5 km (Hong Kong) with the ‘Maximum Resolution Gradient’ equals to 0.0833 km/km.
CPAS 128-to-1 km mesh contains 343,226 horizontal grid cells. It includes 5 regions covering ‘Asia’, ‘Himalaya’, ‘Southern China’, ‘Guangdong’ and ‘HongKong’ where the resolution transits from 128 km (outside) to 1 km (Hong Kong) with the ‘Maximum Resolution Gradient’ equals to 0.0833 km/km.
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.