Information-Theoretic Strategies for Quantifying Variability and Model-Reality Comparison in the Climate System
Model-reality comparison can be viewed in a communications context, with the observed data the "sent message," the model output "received message," and the model the noisy channel over which the message is transmitted (Figure 1). Information theory offers a way to assess literally the "information content" of any system and offers a means for objective quantification of model-observational data fidelity. The Shannon entropy (SE) H(X) is the measure of the amount of uncertainty, variability, or...[Show more]
|Collections||ANU Research Publications|
|Source:||18th World IMACS Congress and MODSIM09 Proceedings International Congress on Modelling and Simulation. Cairns, Australia from 13–17 July 2009|
|01_Larson_Information-Theoretic_2009.pdf||3.82 MB||Adobe PDF||Request a copy|
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