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

doi:10.3390/e10040556

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

Article

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

Ian G. Enting

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; in revised form: 7 October 2008 / Accepted: 20 September 2008 / Published: 3 November 2008

(This article belongs to the Special Issue Concepts of Entropy and Their Applications - Papers presented at the Meeting at University of Melbourne, 26 November - 11 December 2007)

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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

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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.

AMA Style

Enting I.G. Assessing the Information Content in Environmental Modelling: A Carbon Cycle Perspective. Entropy. 2008; 10(4):556-575.

Chicago/Turabian Style

Enting, Ian G. 2008. "Assessing the Information Content in Environmental Modelling: A Carbon Cycle Perspective." Entropy 10, no. 4: 556-575.

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