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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Cited articles

Anav, A., D'Andrea, F., Viovy, N., and Vuichard, N.: A validation of heat and carbon fluxes from high-resolution land surface and regional models, J. Geophys. Res., 115, 1–20, 2010.
Arneth, A., Sitch, S., Bondeau, A., Butterbach-Bahl, K., Foster, P., Gedney, N., de Noblet-Ducoudré, N., Prentice, I. C., Sanderson, M., Thonicke, K., Wania, R., and Zaehle, S.: From biota to chemistry and climate: towards a comprehensive description of trace gas exchange between the biosphere and atmosphere, Biogeosciences, 7, 121–149, https://doi.org/10.5194/bg-7-121-2010, 2010.
Arora, V. K. and Boer, G. J.: A parameterization of leaf phenology for the terrestrial ecosystem component of climate models, Glob. Change Biol., 11, 39–59, 2005.
Bagnara, M., Van Oijen, M., Cameron, D., Gianelle, D., Magnani, F., and Sottocornola, M.: A user-friendly forest model with a multiplicative mathematical structure: a Bayesian approach to calibration, Geosci. Model Dev. Discuss., 7, 6997–7031, https://doi.org/10.5194/gmdd-7-6997-2014, 2014.
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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.
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