GEN 2332
Data Assimilation
Stanford University · UGRD · Fall 2026
1 section
Catalog description
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.
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001
Availability not recently verifiedClass #stanford-2332Fall 2026UGRD3 credits
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