Articles | Volume 9, issue 2
https://doi.org/10.5194/gmd-9-479-2016
https://doi.org/10.5194/gmd-9-479-2016
Development and technical paper
 | 
08 Feb 2016
Development and technical paper |  | 08 Feb 2016

Validation of 3D-CMCC Forest Ecosystem Model (v.5.1) against eddy covariance data for 10 European forest sites

A. Collalti, S. Marconi, A. Ibrom, C. Trotta, A. Anav, E. D'Andrea, G. Matteucci, L. Montagnani, B. Gielen, I. Mammarella, T. Grünwald, A. Knohl, F. Berninger, Y. Zhao, R. Valentini, and M. Santini

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Status: closed
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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Alessio Collalti on behalf of the Authors (07 Dec 2015)  Author's response   Manuscript 
ED: Publish subject to minor revisions (Editor review) (25 Dec 2015) by Hisashi Sato
AR by Alessio Collalti on behalf of the Authors (08 Jan 2016)  Author's response   Manuscript 
ED: Publish subject to technical corrections (25 Jan 2016) by Hisashi Sato
AR by Alessio Collalti on behalf of the Authors (26 Jan 2016)  Author's response   Manuscript 
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Short summary
This study evaluates the performances of the new version (v.5.1) of 3D-CMCC Forest Ecosystem Model in simulating gross primary productivity (GPP), against eddy covariance GPP data for 10 FLUXNET forest sites across Europe. The model consistently reproduces both in timing and in magnitude daily and monthly GPP variability across all sites, with the exception of the two Mediterranean sites. Inclusion of forest structure within simulation ameliorate in some cases the model output.