Articles | Volume 15, issue 5
https://doi.org/10.5194/bg-15-1607-2018
https://doi.org/10.5194/bg-15-1607-2018
Research article
 | 
16 Mar 2018
Research article |  | 16 Mar 2018

Ages and transit times as important diagnostics of model performance for predicting carbon dynamics in terrestrial vegetation models

Verónika Ceballos-Núñez, Andrew D. Richardson, and Carlos A. Sierra

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (22 Nov 2017) by Akihiko Ito
AR by Verónika Ceballos-Núñez on behalf of the Authors (02 Jan 2018)
ED: Reconsider after major revisions (20 Jan 2018) by Akihiko Ito
AR by Verónika Ceballos-Núñez on behalf of the Authors (01 Feb 2018)  Author's response   Manuscript 
ED: Publish as is (15 Feb 2018) by Akihiko Ito
AR by Verónika Ceballos-Núñez on behalf of the Authors (18 Feb 2018)
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Short summary
Will the terrestrial biosphere be a carbon source or sink in the future? Different model simulations cannot reach a consensus, so we need to diagnose the performance of these models. We implemented three models differing in their carbon allocation strategies and assessed their performance using three metrics. The most sensible metric was the distribution of carbon age and transit times. Thus, empirical measurements of these distributions could be key to reduce the model uncertainty.
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