information theory and dynamical system predictability
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ID: 221821
2011
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Abstract
Predicting the future state of a turbulent dynamical system such as the atmosphere has been recognized for several decades to be an essentially statistical undertaking. Uncertainties from a variety of sources are magnified by dynamical mechanisms and given sufficient time, compromise any prediction. In the last decade or so this process of uncertainty evolution has been studied using a variety of tools from information theory. These provide both a conceptually general view of the problem as well as a way of probing its non-linearity. Here we review these advances from both a theoretical and practical perspective. Connections with other theoretical areas such as statistical mechanics are emphasized. The importance of obtaining practical results for prediction also guides the development presented.
| Reference Key |
kleeman2011entropyinformation
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|---|---|
| Authors | ;Richard Kleeman |
| Journal | European journal of medicinal chemistry |
| Year | 2011 |
| DOI |
10.3390/e13030612
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| URL | |
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