Hessian-based covariance approximations in variational data assimilation
Résumé
The problem of variational data assimilation (estimation) for a nonlinear model is considered in general operator formulation. Hessian-based methods are presented to compute the estimation error covariances. The importance of dynamic formulation and the role of the Hessian and its inverse are discussed.
Origine | Fichiers produits par l'(les) auteur(s) |
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