January 24, 2020 by dart
DART LAB
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An introduction to Data Assimilation using MATLAB
DART_LAB is a MATLAB®-based tutorial to demonstrate the principles of ensemble data assimilation. This tutorial begins at a more introductory level than the materials in the tutorial directory, and includes hands-on exercises at several points. In a workshop setting, these materials and exercises took about 1.5 days to complete.
DART_LAB consists of PDF tutorial materials and MATLAB® exercises. See below for links to the PDF files and a list of the corresponding MATLAB scripts.
DART_LAB tutorial slides
1. Ensemble Data Assimilation Concepts in 1D.
2. How Should Observations Impact an Unobserved State Variable? Multivariate Assimilation.
3. Inflation and Localization to Improve Performance.
4. Nonlinear and Non-Gaussian Extensions.
Hands-on Exercises
The DART_LAB materials are bundled with DART.
You can download DART from Github using
git clone https://github.com/NCAR/DART.git
In the guide/DART_LAB/matlab
subdirectory are a set of MATLAB scripts and
graphical user interface (GUI) programs which are exercises that go with the
tutorial. Each is interactive with settings that can be changed and
rerun to explore various options. A valid
MATLAB
license is needed to run these scripts.
The exercises use the following functions:
bounded_oned_ensemble
gaussian_product
oned_cycle
oned_ensemble
oned_model
oned_model_inf
run_lorenz_63
run_lorenz_96
run_lorenz_96_inf
twod_ensemble
twod_ppi_ensemble
To run these, cd into the DART_LAB/matlab
directory, start matlab, and type
the names at the prompt.