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December 24, 2019 by dart

The DART tutorial

tutorial-feature-image

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

2. The DART Directory Tree

3. DART Runtime Control and Documentation

4. How should observations of a state variable impact an unobserved state variable? Multivariate assimilation.

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

11. Creating DART Executables

12. Adaptive Inflation

13. Hierarchical Group Filters and Localization

14. Observation Quality Control

15. DART Experiments: Control and Design

16. Diagnostic Output

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

23. Location Module Design

24. Fixed Lag Ensemble Kalman Smoother (not available yet)

25. A Simple 1D Advection Model: Tracer Data Assimilation

Contact Info

1850 Table Mesa Dr.
Boulder, CO 80305

dart@ucar.edu

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The National Center for Atmospheric Research is sponsored by the National Science Foundation. Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the National Science Foundation.
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