Articles | Volume 15, issue 1
https://doi.org/10.5194/bg-15-187-2018
https://doi.org/10.5194/bg-15-187-2018
Research article
 | 
10 Jan 2018
Research article |  | 10 Jan 2018

Evaluation and uncertainty analysis of regional-scale CLM4.5 net carbon flux estimates

Hanna Post, Harrie-Jan Hendricks Franssen, Xujun Han, Roland Baatz, Carsten Montzka, Marius Schmidt, and Harry Vereecken

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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 (20 Jun 2017) by Sönke Zaehle
AR by Hanna Post on behalf of the Authors (01 Nov 2017)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (02 Nov 2017) by Sönke Zaehle
AR by Anna Wenzel on behalf of the Authors (10 Nov 2017)  Author's response
ED: Publish as is (17 Nov 2017) by Sönke Zaehle
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Short summary
Estimated values of selected key CLM4.5-BGC parameters obtained with the Markov chain Monte Carlo (MCMC) approach DREAM(zs) strongly altered catchment-scale NEE predictions in comparison to global default parameter values. The effect of perturbed meteorological input data on the uncertainty of the predicted carbon fluxes was notably higher for C3-grass and C3-crop than for coniferous and deciduous forest. A future distinction of different crop types including management is considered essential.
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