In the NICAS document
Figure 8 shows heterogeneous support radius, with the subsampled grid denser in some regions (with smaller rh) and coarser in other regions (with larger rh). I wonder what settings in the .yaml file can use this feature? As far as my colleagues and I tried, the outcoming subsampled grid seems to be homogeneous (using random_uniform in subgrid sampling).
What we are thinking of is on the use of variable resolution mesh in JEDI-MPAS. Is it better to use a matching heterogeneous support radius and subgrid sampling corresponding to the MPAS mesh that has refine regions and resolution transition? Intuitively, for a refined part of the mesh, there may be finer correlation pattern among cells, which are here denser and better resolving the land surface, over shorter length-scale than those for coarser part spanning the rest of the globe, while spurious correlation may occur due to finite ensemble size. So a shorter rh should be used to suppress spurious / unwanted resulting correlation (and retain the meaningful fine correlation pattern), and also a denser NICAS subgrid should be used to represent the corresponding finer localization pattern?
I’d be grateful to anyone shedding some light on it.
Thanks and regards,