A Reduced-Order Kalman Filter for Data Assimilation in Physical Oceanography

• Published in: SIAM review Vol. 49; no. 3; pp. 449 - 465
• Main Authors: Rozier, D., Birol, F., Cosme, E., Brasseur, P., Brankart, J. M., Verron, J.
• Format: Journal Article
• Language: English
• Published: Philadelphia, PA Society for Industrial and Applied Mathematics 01.09.2007
• Subjects: Analytical forecasting; Computer simulation; Coordinate systems; Covariance matrices; Data assimilation; Engineering Sciences; Exact sciences and technology; Fluid mechanics; Fluids mechanics; Forecasting models; Kalman filters; Marine; Mathematical analysis; Mathematical models; Mathematics; Mechanics; Methods of scientific computing (including symbolic computation, algebraic computation); Modeling; Numerical analysis; Numerical analysis. Scientific computation; Ocean circulation; Ocean circulation models; Ocean currents; Ocean models; Ocean, Atmosphere; Oceanography; Oceans; Physics; Problems and Techniques; Sciences and techniques of general use; Sciences of the Universe; Simulation; Studies; 37N10; Costs; 65P99; Explanation; Kalman filter; 37M05; Prediction; Computing; Modeling; Scientific computation; Simulation; physical oceanography; Applied mathematics; Observation; data assimilation; numerical simulation

A central task of physical oceanography is the prediction of ocean circulation at various time scales. Mathematical techniques are used in this domain not only for the modeling of ocean circulation but also for the enhancement of simulation through data assimilation. The ocean circulation model of c...