11th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS)


Four-dimensional variational assimilation without using the adjoint model

Hyo-Jong Song, Seoul National Univ., Seoul, South Korea; and G. H. Lim and H. S. Lee

Four-dimensional variational assimilation (4D-Var) is a well-known retrospective analysis method. The minimization of the 4D-Var cost function is accomplished in general by using the adjoint model derived from the dynamic model for the assimilation. In order to implement 4D-Var differently from the conventional technique, in which the adjoint model is not required, we proposed a theory of retrospective optimal interpolation adopting a differential factor. We examined and confirmed the validity of our theory by consulting the results from the application of the theory to the three-variable Lorenz model.

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Session 4, Advanced Methods for Data Assimilation
Tuesday, 16 January 2007, 1:30 PM-5:15 PM, 208

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