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| Titel |
Carbon Cycle Uncertainty in REgional Carbon Cycle Assessment and Processes (RECCAP) |
| VerfasserIn |
I. G. Enting, P. J. Rayner, P. Ciais |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1726-4170
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| Digitales Dokument |
URL |
| Erschienen |
In: Biogeosciences ; 9, no. 8 ; Nr. 9, no. 8 (2012-08-02), S.2889-2904 |
| Datensatznummer |
250007224
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| Publikation (Nr.) |
 copernicus.org/bg-9-2889-2012.pdf |
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| Zusammenfassung |
| 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 process like RECCAP and describe how they interact in formal
estimation procedures. We also point out the impact these
uncertainties will have on the various RECCAP synthesis activities. |
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