Reduction of Analysis Error Through Constraints of Dynamical Consistency

Abstract

A method is proposed whereby incorrect analyses at two successive times may be optimally adjusted to maintain dynamical consistency with a given prediction model. It is shown that, in the ensemble average, the mean-square error of the adjusted analyses is half that of the original analyses.