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

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

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 Hanna Post on behalf of the Authors (09 Nov 2017)  Manuscript 
ED: Publish as is (17 Nov 2017) by Sönke Zaehle
AR by Hanna Post on behalf of the Authors (26 Nov 2017)  Manuscript 
Download
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.
Altmetrics
Final-revised paper
Preprint