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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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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