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Geosci. Model Dev., 9, 479-504, 2016
https://doi.org/10.5194/gmd-9-479-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
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. Collalti1,2, S. Marconi1,2, A. Ibrom3, C. Trotta2, A. Anav4, E. D'Andrea5, G. Matteucci5,6, L. Montagnani7, B. Gielen8, I. Mammarella9, T. Grünwald10, A. Knohl11, F. Berninger12, Y. Zhao13, R. Valentini1,2, and M. Santini1 1Euro-Mediterranean Center on Climate Change – Division on Impacts on Agriculture, Forests and Ecosystem Services (IAFES), 01100 Viterbo, Italy
2University of Tuscia – Department for Innovation in Biological, Agro-Food and Forest Systems (DIBAF), 01100 Viterbo, Italy
3Centre for Ecosystems and Environmental Sustainability, Dept. Chem. Engineering, Technical University of Denmark (DTU), Roskilde, Denmark
4College of Engineering, Mathematics, and Physical Sciences, University of Exeter, Exeter, UK
5CNR-IBAF – National Research Council of Italy, Institute of Agroenvironmental and Forest Biology, 00015 Monterotondo Scalo, RM, Italy
6CNR-ISAFOM – National Research Council of Italy, Institute for Agriculture and Forestry Systems in the Mediterranean, 87036 Rende, CS, Italy
7Forest Services, Autonomous Province of Bolzano, 39100, Bolzano, Italy; and Faculty of Science and Technology, Free University of Bolzano, Piazza Università 5, 39100 Bolzano, Italy
8Research Group of Plant and Vegetation Ecology, Department of Biology, University of Antwerp, Belgium
9University of Helsinki – Department of Physics, Division of Atmospheric Sciences, 00014 Helsinki, Finland
10Technische Universität (TU) Dresden, Institute of Hydrology and Meteorology, Chair of Meteorology, 01062 Dresden, Germany
11Bioclimatology, Faculty of Forest Sciences and Forest Ecology, Georg-August University of Göttingen, Büsgenweg 2, 37077 Göttingen, Germany
12Department of Forest Sciences, University of Helsinki, POBox 27, 00014, Helsinki
13LOCEAN/IPSL, UMR 7159, Sorbonne Universitès, Unitè mixte UPMC-CNRS-IRD-MNHN, 4 place Jussieu, 75005, Paris, France
Abstract. This study evaluates the performances of the new version (v.5.1) of 3D-CMCC Forest Ecosystem Model (FEM) in simulating gross primary productivity (GPP), against eddy covariance GPP data for 10 FLUXNET forest sites across Europe. A new carbon allocation module, coupled with new both phenological and autotrophic respiration schemes, was implemented in this new daily version. Model ability in reproducing timing and magnitude of daily and monthly GPP fluctuations is validated at intra-annual and inter-annual scale, including extreme anomalous seasons. With the purpose to test the 3D-CMCC FEM applicability over Europe without a site-related calibration, the model has been deliberately parametrized with a single set of species-specific parametrizations for each forest ecosystem. 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. We find that 3D-CMCC FEM tends to better simulate the timing of inter-annual anomalies than their magnitude within measurements' uncertainty. In six of eight sites where data are available, the model well reproduces the 2003 summer drought event. Finally, for three sites we evaluate whether a more accurate representation of forest structural characteristics (i.e. cohorts, forest layers) and species composition can improve model results. In two of the three sites results reveal that model slightly increases its performances although, statistically speaking, not in a relevant way.

Citation: Collalti, A., Marconi, S., Ibrom, A., Trotta, C., Anav, A., D'Andrea, E., Matteucci, G., Montagnani, L., Gielen, B., Mammarella, I., Grünwald, T., Knohl, A., Berninger, F., Zhao, Y., Valentini, R., and Santini, M.: Validation of 3D-CMCC Forest Ecosystem Model (v.5.1) against eddy covariance data for 10 European forest sites, Geosci. Model Dev., 9, 479-504, https://doi.org/10.5194/gmd-9-479-2016, 2016.
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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.
This study evaluates the performances of the new version (v.5.1) of 3D-CMCC Forest Ecosystem...
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