Interpolation and visualization of edge and face data using nefAce

Many post-processing and visualization software tools currently handle nodal and cell data; however, there are relatively few tools capable of representing data associated with cell edges and faces. For a number of discretization schemes, it is natural to attach data to grid edge and face elements, fluxes in finite volume schemes are often attached to cell faces. The Arakawa C-D grids used by some climate models are examples of grids where the velocity field is face/edge centred. We're currently addressing the lack of edge/face data support in post-processing applications with the development of the python nefAce library. In nefAce, the interpolation exploits the staggering of the field when interpolating data to produce more accurate visualizations of staggered vector fields.