FILTER 4D:An adjoint-free four-dimensional variational data ... - Springer

filter 4d   filter 77 slot In this paper, we propose an efficient and practical implementation of a four-dimensional variational ensemble Kalman filter 4D-EnKF via a modified Cholesky decomposition. The main scope of our method is to avoid the intrinsic needed of adjoint models in the four-dimensional context

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