Rank plots

In some cases, aggregate forecast errors are dominated by a few poor forecasts. A good forecast system should be good a high percentage of times. It should also be better for a majority of locations. To assess how often one forecast system is better than the other, use the -type rank option. The following shows the frequency that each system is best for different dimensions:

verif ECMWF.nc MEPS.nc -m corr -type rank -x all

By selecting -x all, a subplot is created for each of 6 dimension. To only show one subplot, specify the desired dimension using -x.

The rank information can also be shown on a map:

verif ECMWF.nc MEPS.nc -m corr -type maprank -maptype simple