Conclusions
¥Localization (tapering the
impact of observations with distance from analysis grid point) makes ensemble data assimilation feasible with large NWP models.
¥Both model errors and
localization make filter performance suboptimal. Right now model error is the bigger problem, but improvements in localization are needed.