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1. Introduction The quality of an operational numerical weather prediction (NWP) model forecast depends significantly on the accuracy of the initial conditions specifications and also on the ability of the model to simulate well the atmospheric physical and dynamical processes. Data assimilation methods often provide for improved performance of these NWP models ( Kalnay 2003 ). Data assimilation methods combine available past as well as current meteorological observations in order to improve
1. Introduction The quality of an operational numerical weather prediction (NWP) model forecast depends significantly on the accuracy of the initial conditions specifications and also on the ability of the model to simulate well the atmospheric physical and dynamical processes. Data assimilation methods often provide for improved performance of these NWP models ( Kalnay 2003 ). Data assimilation methods combine available past as well as current meteorological observations in order to improve
