A Time-parallel Approach to Strong-constraint Four-dimensional Variational Data Assimilation

Abstract

A parallel-in-time algorithm based on an augmented Lagrangian approach is proposed to solve four-dimensional variational (4D-Var) data assimilation problems. The assimilation window is divided into multiple sub-intervals that allows to parallelize cost function and gradient computations. Solution continuity equations across interval boundaries are added as… (More)
DOI: 10.1016/j.jcp.2016.02.040

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