December 24, 2019 by dart
The DART tutorial
The DART Tutorial is intended to aid in the understanding of ensemble data assimilation theory and consists of step-by-step concepts and companion exercises with DART.
Instructions for installing DART and the MATLAB® diagnostics can be found in the DART documentation.
DART tutorial slides
1. Filtering For a One Variable System
3. DART Runtime Control and Documentation
5. Comprehensive Filtering Theory: Non-Identity Observations and the Joint Phase Space
6. Other Updates for An Observed Variable
7. Some Additional Low-Order Models
8. Dealing with Sampling Error
9. More on Dealing with Error; Inflation
10. Regression and Nonlinear Effects
13. Hierarchical Group Filters and Localization
14. Observation Quality Control
15. DART Experiments: Control and Design
17. Creating Observation Sequences
18. Lost in Phase Space: The Challenge of Not Knowing the Truth
19. DART-Compliant Models and Making Models Compliant: Coming Soon
20. Model Parameter Estimation
21. Observation Types and Observing System Design
22. Parallel Algorithm Implementation: Coming Soon