Mimetic postprocessing for LFRic
Alex Pletzer and Wolfgang Hayek and Jorge Bornemann
Creative Commons CC BY 4.0
We describe what mimetic interpolation is and why it is critical for some pre- and post-processing tasks. A simple test case shows how using bilinear interpolation for a flux calculation introduces numerical errors that depend on the grid, the number of segments and the number of quadrature points. In contrast, mimetic interpolation will return the exact result regardless of the grid resolution and the number of segments.