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Assimilation Techniques: Approximate
Kalman Filters and Singular Vectors
April 2001
By Mike Fisher
European Centre for Medium-Range Weather
Forecasts.
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REFERENCES
Evensen G., 1994, Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics. J. Geophys. Res., 99(C5), 10143-10162.
Houtekamer P.L. and H.L. Mitchell, 1998, Data assimilation using an ensemble Kalman filter technique. Mon. Wea. Rev. 126, 796-811.
Houtekamer P.L. and H.L. Mitchell, 2000, A sequential Ensemble Kalman Filter for atmospheric data assimilation, submitted to Mon. Wea. Rev.
Barkmeijer J., M. Van Gijzen and F. Bouttier, 1998, Singular vectors and estimates of the analysis error covariance metric. Q. J. Roy. Meteor. Soc. 124, 1695-1713.
Barkmeijer J., R. Buizza and T.N. Palmer, 1999, 3D-Var Hessian singular vectors and their potential use in the ECMWF Ensemble Prediction System, Q. J. Roy. Meteor. Soc. 125, 2333-2351.
Fisher M., 1998, Development of a simplified Kalman filter, ECMWF Technical memorandum 260.
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