DART_LAB Tutorial
Overview
The files in this directory contain PDF tutorial materials on DART, and Matlab exercises. See below for links to the PDF files and a list of the corresponding matlab scripts.
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 tutorial presentations
Here are the PDF files for the presentation part of the tutorial:
Section 1:
Ensemble Data Assimilation Concepts in 1D.Section 2:
How Should Observations Impact an Unobserved State Variable? Multivariate Assimilation.Section 3:
Inflation and Localization to Improve Performance.Section 4:
Nonlinear and Non-Gaussian Extensions.Section 5:
Adaptive Inflation.
Matlab hands-on exercises
In the matlab
subdirectory are a set of Matlab scripts and GUI (graphical user interface) 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.