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Determination of optimal nudging coefficients

Abstract : A four-dimensional variational assimilation (4D-Var) scheme is now widely used by meteorological centres in a operational way. However, most of these applications do not take account of model error.Indeed, the classical 4D-Var with imperfect model formulation is unaffordable for current computational means. This paper presents a low-cost method for dealing with model errors in 4D variational assimilation. This method can be formally compared to a Kalman filter. This new scheme is tested on two configurations: first on a Burger equation, which allows one to calibrate the method, and second on a more relevant shallow-water equations model, both in a twin experiment framework. It is shown that, compared to classical 4D-Var results, this method provides a noticeable improvement.
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Submitted on : Monday, September 29, 2008 - 9:53:01 AM
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Arthur Vidard, François-Xavier Le Dimet, Andrea Piacentini. Determination of optimal nudging coefficients. Tellus A, Co-Action Publishing, 2003, 55 (1), pp.1--15. ⟨10.3402/tellusa.v55i1.14576⟩. ⟨inria-00325360⟩



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