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Reduction of Analysis Error Through Constraints of Dynamical Consistency

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  • 1 National Center for Atmospheric Research, Boulder, Colo.
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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.

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.

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