Reducing uncertainty in projections of terrestrial carbon uptake

Carbon uptake by the oceans and terrestrial biosphere regulates atmospheric carbon dioxide concentration and affects Earth's climate, yet global carbon cycle projections over the next century are highly uncertain. Here, we quantify and isolate the sources of projection uncertainty in cumulative ocean and terrestrial carbon uptake over 2006-2100 by performing an analysis of variance on output from an ensemble of 12 Earth System Models. Whereas uncertainty in projections of global ocean carbon accumulation by 2100 is 160 Pg C and driven primarily by model structure. To statistically reduce uncertainty in terrestrial carbon projections, we devise schemes to weight the models based on their ability to represent the observed change in carbon accumulation over 1959-2005. The weighting schemes incrementally reduce uncertainty to a minimum value of 125 Pg C in 2100, but this reduction requires an impractical observational constraint. We suggest that a focus on reducing multimodel spread may not make terrestrial carbon cycle projections more reliable, and instead advocate for accurate observations, improved process understanding, and a multitude of modeling approaches.

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Author Lovenduski, Nicole S.
Bonan, Gordon B
Publisher UCAR/NCAR - Library
Publication Date 2017-04-01T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T19:14:32.687633
Metadata Record Identifier edu.ucar.opensky::articles:19719
Metadata Language eng; USA
Suggested Citation Lovenduski, Nicole S., Bonan, Gordon B. (2017). Reducing uncertainty in projections of terrestrial carbon uptake. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7g162m0. Accessed 22 June 2025.

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