Articles | Volume 12, issue 11
https://doi.org/10.5194/gmd-12-4751-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-4751-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Accounting for carbon and nitrogen interactions in the global terrestrial ecosystem model ORCHIDEE (trunk version, rev 4999): multi-scale evaluation of gross primary production
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Palmira Messina
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
now at: Centre d'Enseignement et de Recherche en Environnement
Atmosphérique, CEREA/IPSL, 77455 Marne la Vallée, France
Sebastiaan Luyssaert
Vrije Universiteit Amsterdam, Faculty of Science, 1081 HV, the
Netherlands
Bertrand Guenet
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Sönke Zaehle
Max Planck Institute for Biogeochemistry, Hans-Knöll-Str. 10,
07745 Jena, Germany
Josefine Ghattas
Institut Pierre-Simon Laplace, IPSL, UPMC 4 Place Jussieu, 75252
Paris, France
Vladislav Bastrikov
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Philippe Peylin
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
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- Spatial biases reduce the ability of Earth system models to simulate soil heterotrophic respiration fluxes B. Guenet et al.
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- Disentangling the Impacts of Anthropogenic Aerosols on Terrestrial Carbon Cycle During 1850–2014 Y. Zhang et al.
- Improving Soybean Gross Primary Productivity Modeling Using Solar-Induced Chlorophyll Fluorescence and the Photochemical Reflectance Index by Accounting for the Clearness Index J. Chen & J. Shi
- Declining resistance of vegetation productivity to droughts across global biomes Z. Liu et al.
- Estimating lateral nitrogen transfers over the last century through the global river network using a land surface model M. Ma et al.
- Partitioning Climatic Controls on Global Land Carbon Sink Variability: Temperature vs. Moisture Constraints Across Biomes X. Luo et al.
- Modeling carbon burial along the land to ocean aquatic continuum: Current status, challenges and perspectives D. Henry et al.
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- A triple tree-ring constraint for tree growth and physiology in a global land surface model J. Barichivich et al.
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- Global Carbon Budget 2024 P. Friedlingstein et al.
- Are Terrestrial Biosphere Models Fit for Simulating the Global Land Carbon Sink? C. Seiler et al.
- A Robust Estimate of Continental‐Scale Terrestrial Carbon Sinks Using GOSAT XCO2 Retrievals L. Zhang et al.
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- SIF-based GPP modeling for evergreen forests considering the seasonal variation in maximum photochemical efficiency R. Chen et al.
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- Persistence of increasing vegetation gross primary production under the interactions of climate change and land use changes in Northwest China X. Xu et al.
- Underestimated Interannual Variability of Terrestrial Vegetation Production by Terrestrial Ecosystem Models S. Lin et al.
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- Global agricultural ammonia emissions simulated with the ORCHIDEE land surface model M. Beaudor et al.
- Global Carbon Budget 2023 P. Friedlingstein et al.
- Multi-spatial scale assessment and multi-dataset fusion of global terrestrial evapotranspiration datasets Y. Wu et al.
- Optimizing fertilizer use for sustainable crops with Agrivoltaics in Mediterranean climates L. Rapella et al.
- Quantifying and Reducing Uncertainty in Global Carbon Cycle Predictions: Lessons and Perspectives From 15 Years of Data Assimilation Studies With the ORCHIDEE Terrestrial Biosphere Model N. MacBean et al.
- Cyanobacterial Blooms Enhance Nitrogen Removal in Lakes through Carbon/Nitrogen Coupling Metabolism Y. Huang et al.
- Spatially varying parameters improve carbon cycle modeling in the Amazon rainforest with ORCHIDEE r8849 L. Zhu et al.
Saved (final revised paper)
Latest update: 18 May 2026
Short summary
In this research, we present a new version of the global terrestrial ecosystem model ORCHIDEE in which carbon and nitrogen cycles are coupled. We evaluate its skills at simulating primary production at 78 sites and at a global scale. Based on a set of additional simulations in which carbon and nitrogen cycles are coupled and uncoupled, we show that the functional responses of the model with carbon–nitrogen interactions better agree with our current understanding of photosynthesis.
In this research, we present a new version of the global terrestrial ecosystem model ORCHIDEE in...