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

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

Received: 5 May 2008; in revised form: 7 October 2008 / Accepted: 20 September 2008 / Published: 3 November 2008
Download PDF [324 KB, uploaded 2 November 2008]
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
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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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 IG. 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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