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METR 6313 - Advanced Data Assimilation Methods: Ensemble Kalman Filter Techniques and Applications

Description
Prerequisite: graduate standing or permission of instructor. Introduction to ensemble Kalman data assimilation techniques (EnKF). Students learn the most popular EnKF techniques through lectures and hands-on project assignments, and also develop skill in scientific thinking and synthesis, written and oral communication and programming throughout the course. (Irreg.)
Credits
3
Attributes
Video Conference Course, Atmos Geo Course, Grad Atmos & Geo Crse, Approved for graduate credit, Graduate Course, Graduate level Course, Norman Grad Div Crse
Recent Professors
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Recent Semesters
Spring 2021, Spring 2020, Spring 2018, Spring 2017
Offered
MW, TuTh, TuThF
Avg. Class Size
25
Avg. Sections
1