UC Irvine CEE-290: Topic 5 (Data Assimilation)
Автор: Jasper Vrugt
Загружено: 2016-06-20
Просмотров: 962
Описание:
Topics that will be addressed include:
1. Treatment of uncertainty
2. What is data assimilation?
3. State-space formulation
4. Measurement operator
5. Physics example: Cannon ball
6. Transition matrix and control vector
7. Measurement model operator
8. Derivation equations of Kalman Filter
9. Implementation of Kalman Filter for cannon ball example
10. MATLAB Code of cannon ball example
11. Explanation of data assimilation using interception model
12. Best linear unbiased estimator
13. The Ensemble Kalman Filter
14. Simultaneous Optimization and Data Assimilation (SODA)
15. Case studies
16. Watershed modeling
17. Yucca Mountain: Tracer experiment
18. Multi-criteria implementation Kalman filter
19. Error residual analysis
20. Posterior distributions with/without state estimation
21. Particle Filtering (to come in near future)
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