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.