Impacts of localisation in the EnKF and EnOI: experiments with a small model
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[1] Jens Schröter,et al. A comparison of error subspace Kalman filters , 2005 .
[2] P. Houtekamer,et al. Ensemble size, balance, and model-error representation in an ensemble Kalman filter , 2002 .
[3] P. L. Houtekamer. The Construction of Optimal Perturbations , 1995 .
[4] Jeffrey L. Anderson,et al. A Monte Carlo Implementation of the Nonlinear Filtering Problem to Produce Ensemble Assimilations and Forecasts , 1999 .
[5] J. Whitaker,et al. Ensemble Data Assimilation without Perturbed Observations , 2002 .
[6] P. Houtekamer,et al. Data Assimilation Using an Ensemble Kalman Filter Technique , 1998 .
[7] G. Evensen. Sampling strategies and square root analysis schemes for the EnKF , 2004 .
[8] M. Rienecker,et al. Initial testing of a massively parallel ensemble Kalman filter with the Poseidon isopycnal ocean general circulation model , 2002 .
[9] Istvan Szunyogh,et al. A Local Ensemble Kalman Filter for Atmospheric Data Assimilation , 2002 .
[10] P. Houtekamer,et al. A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation , 2001 .
[11] Christian L. Keppenne,et al. Data Assimilation into a Primitive-Equation Model with a Parallel Ensemble Kalman Filter , 2000 .
[12] Peter R. Oke,et al. Assimilation of surface velocity data into a primitive equation coastal ocean model , 2002 .
[13] Peter R. Oke,et al. Ensemble data assimilation for an eddy‐resolving ocean model of the Australian region , 2005 .
[14] Geir Evensen,et al. The Ensemble Kalman Filter: theoretical formulation and practical implementation , 2003 .
[15] J. Whitaker,et al. Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter , 2001 .