Journal article
Carbon cycle uncertainty in regional carbon cycle assessment and processes (RECCAP)
IG Enting, PJ Rayner, P Ciais
Biogeosciences | Published : 2012
Abstract
Characterisation of estimates of regional carbon budgets and processes is inherently a statistical task. In full form this means that almost all quantities used or produced are realizations or instances of probability distributions. We usually compress the description of these distributions by using some kind of location parameter (e.g. the mean) and some measure of spread or uncertainty (e.g. the standard deviation). Characterising and calculating these uncertainties, and their structure in space and time, is as important as the location parameter, but uncertainties are both hard to calculate and hard to interpret. In this paper we describe the various classes of uncertainty that arise in a..
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Awarded by Australian Professorial Fellowship
Funding Acknowledgements
The Australian Research Council (ARC) funds the Centre of Excellence for Mathematics and Statistics of Complex Systems (MASCOS). Ian Enting's fellowship at MASCOS was supported in part by CSIRO. Ian Enting also acknowledges hospitality at LSCE during part of the development of this study. Peter Rayner is in receipt of an Australian Professorial Fellowship (DP1096309). P. Ciais received support from the EU-funded COCOS project of the 7th Framework Program for two meetings of preparation of the RECCAP project. Collectively, we express our appreciation to the Transcom community and the RECCAP community.