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Entropy 2008, 10(4), 556-575; doi:10.3390/e10040556

Assessing the Information Content in Environmental Modelling: A Carbon Cycle Perspective

ARC Centre of Excellence for Mathematics and Statistics of Complex Systems, 139 Barry St., The University of Melbourne, Vic. 3010, Australia
Received: 5 May 2008 / Revised: 7 October 2008 / Accepted: 20 September 2008 / Published: 3 November 2008
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Abstract

A model represents the way in which information about the world is captured in a form that can be manipulated for application to new situations. However, quantification of `model error' presents formidable challenges. Various inverse problems in carbon cycle modelling are presented as illustrations of the issues. A `maximum-entropy' representation of carbon cycle response is used to explore techniques for non-parametric estimation of carbon cycle uncertainty.
Keywords: carbon cycle; information content; model error carbon cycle; information content; model error
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Enting, I.G. Assessing the Information Content in Environmental Modelling: A Carbon Cycle Perspective. Entropy 2008, 10, 556-575.

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