Abstract: In this paper, a new iterative algorithm for computing a steady-state Kalman gain is proposed. This algorithm utilizes two model forecasts with statistically independent random perturbations to determine the error covariance ...

Abstract: agrangian forward and backward models are introduced into a coarse-grid ocean global circulation model to trace the ventilation routes of the Deep North Pacific Ocean. The random walk aspect in the Lagrangian model is ...

Abstract: emote sensing, as a powerful tool for monitoring atmospheric phenomena, has been playing an increasingly important role in inverse modeling. Remote sensing instruments measure quantities that often combine several state ...