Data Assimilation
Lecture
Main Campus
Course 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.
CEE 261D
Units: 3
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Typically Offered
Not Available
Grading Basis
Letter or Credit/No Credit
Class Level
Graduate
Instructional Mode
In Person
Gen Ed Requirement(s)
None