Articles | Volume 11, issue 10
https://doi.org/10.5194/bg-11-2661-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-11-2661-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
20 May 2014
Research article |
| 20 May 2014
Evaluating the potential of large-scale simulations to predict carbon fluxes of terrestrial ecosystems over a European Eddy Covariance network
M. Balzarolo
PLECO group, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium
DIBAF, University of Tuscia, via S. Camillo de Lellis, 01100 Viterbo, Italy
S. Boussetta
ECMWF, Shinfield Park, Reading, RG2 9AX, England
G. Balsamo
ECMWF, Shinfield Park, Reading, RG2 9AX, England
A. Beljaars
ECMWF, Shinfield Park, Reading, RG2 9AX, England
F. Maignan
LSCE-IPSL, UMR8212 (CEA/CNRS/UVSQ), Orme des Merisiers, 91191 Gif sur Yvette Cedex, France
J.-C. Calvet
CNRM-GAME, UMR3589 (Météo-France, CNRS), 42 Avenue Gaspard Coriolis, 31057 Toulouse Cedex 1, France
S. Lafont
INRA, UMR 1391 ISPA, 33140 Villenave d'Ornon, France
CNRM-GAME, UMR3589 (Météo-France, CNRS), 42 Avenue Gaspard Coriolis, 31057 Toulouse Cedex 1, France
A. Barbu
CNRM-GAME, UMR3589 (Météo-France, CNRS), 42 Avenue Gaspard Coriolis, 31057 Toulouse Cedex 1, France
B. Poulter
Montana State University, Institute on Ecosystems, Department of Ecology, Bozeman, Montana 59717, USA
LSCE-IPSL, UMR8212 (CEA/CNRS/UVSQ), Orme des Merisiers, 91191 Gif sur Yvette Cedex, France
F. Chevallier
LSCE-IPSL, UMR8212 (CEA/CNRS/UVSQ), Orme des Merisiers, 91191 Gif sur Yvette Cedex, France
C. Szczypta
CNRM-GAME, UMR3589 (Météo-France, CNRS), 42 Avenue Gaspard Coriolis, 31057 Toulouse Cedex 1, France
CESBIO, CNES/CNRS/IRD/UPS – UMR5126, 18 avenue. Edouard Belin, bpi 2801, 31401 Toulouse cedex 9, France
D. Papale
DIBAF, University of Tuscia, via S. Camillo de Lellis, 01100 Viterbo, Italy
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Cited
27 citations as recorded by crossref.
- Evaluating carbon fluxes of global forest ecosystems by using an individual tree-based model FORCCHN J. Ma et al. https://doi.org/10.1016/j.scitotenv.2017.02.073
- Principles for satellite monitoring of vegetation carbon uptake I. Prentice et al. https://doi.org/10.1038/s43017-024-00601-6
- Challenges and opportunities in land surface modelling of savanna ecosystems R. Whitley et al. https://doi.org/10.5194/bg-14-4711-2017
- Filling the gaps in meteorological continuous data measured at FLUXNET sites with ERA-Interim reanalysis N. Vuichard & D. Papale https://doi.org/10.5194/essd-7-157-2015
- A biogenic CO2 flux adjustment scheme for the mitigation of large-scale biases in global atmospheric CO2 analyses and forecasts A. Agustí-Panareda et al. https://doi.org/10.5194/acp-16-10399-2016
- EUROSPEC: at the interface between remote-sensing and ecosystem CO2 flux measurements in Europe A. Porcar-Castell et al. https://doi.org/10.5194/bg-12-6103-2015
- Peak growing season patterns and climate extremes-driven responses of gross primary production estimated by satellite and process based models over North America W. He et al. https://doi.org/10.1016/j.agrformet.2020.108292
- Accounting for carbon and nitrogen interactions in the global terrestrial ecosystem model ORCHIDEE (trunk version, rev 4999): multi-scale evaluation of gross primary production N. Vuichard et al. https://doi.org/10.5194/gmd-12-4751-2019
- Validation of 3D-CMCC Forest Ecosystem Model (v.5.1) against eddy covariance data for 10 European forest sites A. Collalti et al. https://doi.org/10.5194/gmd-9-479-2016
- Bayesian inversions of a dynamic vegetation model at four European grassland sites J. Minet et al. https://doi.org/10.5194/bg-12-2809-2015
- FORCCHN V2.0: an individual-based model for predicting multiscale forest carbon dynamics J. Fang et al. https://doi.org/10.5194/gmd-15-6863-2022
- Using atmospheric observations to evaluate the spatiotemporal variability of CO2 fluxes simulated by terrestrial biospheric models Y. Fang et al. https://doi.org/10.5194/bg-11-6985-2014
- Forecasting global atmospheric CO2 A. Agustí-Panareda et al. https://doi.org/10.5194/acp-14-11959-2014
- Ideas and perspectives: enhancing the impact of the FLUXNET network of eddy covariance sites D. Papale https://doi.org/10.5194/bg-17-5587-2020
- Modelling CO2 weather – why horizontal resolution matters A. Agustí-Panareda et al. https://doi.org/10.5194/acp-19-7347-2019
- Soil water depletion induces discrepancies between in situ measured vegetation indices and photosynthesis in a temperate heathland M. Maleki et al. https://doi.org/10.1016/j.agrformet.2022.109110
- Effect of spatial sampling from European flux towers for estimating carbon and water fluxes with artificial neural networks D. Papale et al. https://doi.org/10.1002/2015JG002997
- How will climate change affect the vegetation cycle over France? A generic modeling approach N. Laanaia et al. https://doi.org/10.1016/j.crm.2016.06.001
- Verification of Land–Atmosphere Coupling in Forecast Models, Reanalyses, and Land Surface Models Using Flux Site Observations P. Dirmeyer et al. https://doi.org/10.1175/JHM-D-17-0152.1
- Evaluation of the Community Land Model simulated carbon and water fluxes against observations over ChinaFLUX sites L. Zhang et al. https://doi.org/10.1016/j.agrformet.2016.05.018
- A theoretical framework for the methodology of carbon sink assessment in China: A literature review Y. Hu & R. Cao https://doi.org/10.1016/j.ecolmodel.2025.111413
- Local-scale evaluation of the simulated interactions between energy, water and vegetation in ISBA, ORCHIDEE and a diagnostic model J. De Pue et al. https://doi.org/10.5194/bg-19-4361-2022
- Optimal representation of spring phenology on photosynthetic productivity across the northern hemisphere forests J. Fang et al. https://doi.org/10.1016/j.agrformet.2024.109975
- Expanding the Ts–VI feature space for retrieving new parameters characterising the water and carbon cycle: proof-of-concept of a new methodological framework and its validation at selected FLUXNET sites G. Petropoulos et al. https://doi.org/10.1016/j.scitotenv.2026.181377
- Evaluation of Freshwater Flow From Rivers to the Sea in CMIP5 Simulations: Insights From the Congo River Basin M. Santini & L. Caporaso https://doi.org/10.1029/2017JD027422
- Evaluation of the ECOSSE Model for Estimating Soil Respiration from Eight European Permanent Grassland Sites M. Abdalla et al. https://doi.org/10.3390/agronomy13071734
- Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity L. Kooistra et al. https://doi.org/10.5194/bg-21-473-2024
27 citations as recorded by crossref.
- Evaluating carbon fluxes of global forest ecosystems by using an individual tree-based model FORCCHN J. Ma et al. https://doi.org/10.1016/j.scitotenv.2017.02.073
- Principles for satellite monitoring of vegetation carbon uptake I. Prentice et al. https://doi.org/10.1038/s43017-024-00601-6
- Challenges and opportunities in land surface modelling of savanna ecosystems R. Whitley et al. https://doi.org/10.5194/bg-14-4711-2017
- Filling the gaps in meteorological continuous data measured at FLUXNET sites with ERA-Interim reanalysis N. Vuichard & D. Papale https://doi.org/10.5194/essd-7-157-2015
- A biogenic CO2 flux adjustment scheme for the mitigation of large-scale biases in global atmospheric CO2 analyses and forecasts A. Agustí-Panareda et al. https://doi.org/10.5194/acp-16-10399-2016
- EUROSPEC: at the interface between remote-sensing and ecosystem CO2 flux measurements in Europe A. Porcar-Castell et al. https://doi.org/10.5194/bg-12-6103-2015
- Peak growing season patterns and climate extremes-driven responses of gross primary production estimated by satellite and process based models over North America W. He et al. https://doi.org/10.1016/j.agrformet.2020.108292
- Accounting for carbon and nitrogen interactions in the global terrestrial ecosystem model ORCHIDEE (trunk version, rev 4999): multi-scale evaluation of gross primary production N. Vuichard et al. https://doi.org/10.5194/gmd-12-4751-2019
- Validation of 3D-CMCC Forest Ecosystem Model (v.5.1) against eddy covariance data for 10 European forest sites A. Collalti et al. https://doi.org/10.5194/gmd-9-479-2016
- Bayesian inversions of a dynamic vegetation model at four European grassland sites J. Minet et al. https://doi.org/10.5194/bg-12-2809-2015
- FORCCHN V2.0: an individual-based model for predicting multiscale forest carbon dynamics J. Fang et al. https://doi.org/10.5194/gmd-15-6863-2022
- Using atmospheric observations to evaluate the spatiotemporal variability of CO2 fluxes simulated by terrestrial biospheric models Y. Fang et al. https://doi.org/10.5194/bg-11-6985-2014
- Forecasting global atmospheric CO2 A. Agustí-Panareda et al. https://doi.org/10.5194/acp-14-11959-2014
- Ideas and perspectives: enhancing the impact of the FLUXNET network of eddy covariance sites D. Papale https://doi.org/10.5194/bg-17-5587-2020
- Modelling CO2 weather – why horizontal resolution matters A. Agustí-Panareda et al. https://doi.org/10.5194/acp-19-7347-2019
- Soil water depletion induces discrepancies between in situ measured vegetation indices and photosynthesis in a temperate heathland M. Maleki et al. https://doi.org/10.1016/j.agrformet.2022.109110
- Effect of spatial sampling from European flux towers for estimating carbon and water fluxes with artificial neural networks D. Papale et al. https://doi.org/10.1002/2015JG002997
- How will climate change affect the vegetation cycle over France? A generic modeling approach N. Laanaia et al. https://doi.org/10.1016/j.crm.2016.06.001
- Verification of Land–Atmosphere Coupling in Forecast Models, Reanalyses, and Land Surface Models Using Flux Site Observations P. Dirmeyer et al. https://doi.org/10.1175/JHM-D-17-0152.1
- Evaluation of the Community Land Model simulated carbon and water fluxes against observations over ChinaFLUX sites L. Zhang et al. https://doi.org/10.1016/j.agrformet.2016.05.018
- A theoretical framework for the methodology of carbon sink assessment in China: A literature review Y. Hu & R. Cao https://doi.org/10.1016/j.ecolmodel.2025.111413
- Local-scale evaluation of the simulated interactions between energy, water and vegetation in ISBA, ORCHIDEE and a diagnostic model J. De Pue et al. https://doi.org/10.5194/bg-19-4361-2022
- Optimal representation of spring phenology on photosynthetic productivity across the northern hemisphere forests J. Fang et al. https://doi.org/10.1016/j.agrformet.2024.109975
- Expanding the Ts–VI feature space for retrieving new parameters characterising the water and carbon cycle: proof-of-concept of a new methodological framework and its validation at selected FLUXNET sites G. Petropoulos et al. https://doi.org/10.1016/j.scitotenv.2026.181377
- Evaluation of Freshwater Flow From Rivers to the Sea in CMIP5 Simulations: Insights From the Congo River Basin M. Santini & L. Caporaso https://doi.org/10.1029/2017JD027422
- Evaluation of the ECOSSE Model for Estimating Soil Respiration from Eight European Permanent Grassland Sites M. Abdalla et al. https://doi.org/10.3390/agronomy13071734
- Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity L. Kooistra et al. https://doi.org/10.5194/bg-21-473-2024
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