Dynamic systems and state-space representation. Kalman Filter (KF). KF for large systems, like the Ensemble KF, the Compressed State KF, and others. Other approaches to data assimilation. Estimation of filter hyperparameters and testing the optimality for optimality. Computational issues and practical challenges. Examples from Hydrology, Meteorology, and Hydrodynamics that involve many state variables.
3 units · Letter or Credit/No Credit
Dynamic systems and state-space representation. Kalman Filter (KF). KF for large systems, like the Ensemble KF, the Compressed State KF, and others. Other approaches to data assimilation. Estimation of filter hyperparameters and testing the optimality for optimality. Computational issues and practical challenges. Examples from Hydrology, Meteorology, and Hydrodynamics that involve many state variables.
Offered in Winter 2027 at Stanford University.