Data Assimilation Using an Ensemble Kalman Filter Technique

Keywords

Data assimilation, Ensemble Kalman filter, Kalman filter, Ensemble learning, Ensemble forecasting

References

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• A System Simulation Approach to Ensemble PredictionP. L. Houtekamer, L. Lefaivre, Jacques Derome — 1996
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• Toward a dynamical understanding of planetary-scale flow regimes.J. Marshall, Franco Molteni — 1993
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• Predictability and finite‐time instability of the northern winter circulationFranco Molteni, T. N. Palmer — 1993
• A Coordinate Transformation for Objective Frontal AnalysisGérald Desroziers, Jean‐Philippe Lafore — 1993
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• A Global Three-Dimensional Multivariate Statistical Interpolation SchemeAndrew C. Lorenc — 1981
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• A continuous three‐dimensional model of short‐range forecast error covariancesPeter Bartello, Herschel L. Mitchell — 1992
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• Stochastic dynamic predictionEdward S. Epstein — 1969
• Observability of discretized partial differential equationsStephen E. Cohn, Dick Dee — 1988
• On-line Estimation of Error Covariance Parameters for Atmospheric Data AssimilationDick Dee — 1995

Cited by

• Optimal interpolation schemes to constrain pmPM2.5 in regional modeling over the United StatesSinan Sousan — 2012
• Using the Kalman-Bucy filter in an ensemble frameworkJavier Amezcua, Kayo Ide, Eugenia Kalnay — 2011
• A review of the deterministic ensemble Kalman filtering methods and related techniquesTakemasa Miyoshi, Eugenia Kalnay — 2004
• An approach to localization for ensemble-based data assimilationThomas A. Warm — 2018
• ADVANCES IN SEQUENTIAL DATA ASSIMILATION AND NUMERICAL WEATHER FORECASTING: AN ENSEMBLE TRANSFORM KALMAN-BUCY FILTER, A STUDY ON CLUSTERING IN DETERMINISTIC ENSEMBLE SQUARE ROOT FILTERS, AND A TEST OF A NEW TIME STEPPING SCHEME IN AN ATMOSPHERIC MODELJavier Amezcua — 2012
• Ambiguity in Ensemble Forecasting: Evolution, Estimate Validation and ValueMark S. Allen — 2009
• A nonlinear filter that extends to high dimensional systemsThomas Bengtsson, Chris Snyder, Doug Nychka — 2003
• Optimizing transport properties in TM5 using SF6Emma van der Veen — 2013
• Estimation d'ensemble des paramètres des covariances d'erreur d'ébauche dans un système d'assimilation variationnelle de données océaniquesN. Daget — 2008
• Prévision locale des faibles visibilités pour l'aéronautiqueSamuel Rémy — 2009
• Etude de scénarios d'altimétrie satellitaire pour le contrôle de la circulation océanique dans l'océan Atlantique tropical par assimilation de donnéesClément Ubelmann — 2009
• Ensemble Kalman filtering for hydraulic conductivity characterization: Parallelization and non-GaussianityTeng Xu — 2014
• A local ensemble Kalman filter for the NCEP GFS modelIstvan Szunyogh, Eric J. Kostelich, Gyorgyi Gyarmati — 2004
• The dynamics of point-vortex data assimilationNatalie Ross — 2008
• Time-expanded sampling approach for Ensemble Kalman Filter: Experiment assimilation of simulated soundingsYi Yang, Zhongqiang Gong, Jinyan Wang — 2011
• Bayesian data assimilationRemi Barillec — 2008
• Efficiency Of Ensemble Square-Root Kalman Filter In 3D Subsurface Contaminant Transport ModelingTorupallab Ghoshal — 2014
• On errors in meteorological data assimilationMagnus Lindskog — 2007
• Efficient Implementation of the Ensemble Kalman FilterJan Mandel — 2006
• Information Flow in an Atmospheric Model and Data Assimilation.Y. Yoon — 2011

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