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I present a new data assimilation or filtering algorithm that combines the
advantages of the ensemble Kalman filter (EnKF) and the four-dimensional
variational method (4D-Var). This new hybrid technique is computationally
less expensive than 4D-Var and, in simulations, performs better than EnKF
for both linear and nonlinear test problems.