Articles | Volume 20, issue 6
https://doi.org/10.5194/bg-20-1089-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-20-1089-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Assimilation of multiple datasets results in large differences in regional- to global-scale NEE and GPP budgets simulated by a terrestrial biosphere model
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, 91191, France
formerly at: NOVELTIS, Labège, France
Natasha MacBean
Departments of Geography & Environment and Biology, Western
University, London, Ontario, Canada
Frédéric Chevallier
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, 91191, France
Sébastien Léonard
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, 91191, France
now at: Air Liquide R&D, Innovation Campus Paris,
Les-Loges-en-Josas, France
Ernest N. Koffi
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, 91191, France
now at: European Centre for Medium-Range Weather Forecasts,
Robert-Schuman-Platz 3, 53175 Bonn, Germany
Philippe Peylin
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, 91191, France
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Cited
12 citations as recorded by crossref.
- Assimilating ESA CCI land surface temperature into the ORCHIDEE land surface model: insights from a multi-site study across Europe L. Olivera-Guerra et al. https://doi.org/10.5194/hess-29-261-2025
- Towards the assimilation of atmospheric CO2 concentration data in a land surface model using adjoint-free variational methods S. Beylat et al. https://doi.org/10.5194/gmd-18-7501-2025
- A U.S. scientific community review of carbon cycle science gaps and opportunities to better support earth system science and carbon management N. Parazoo et al. https://doi.org/10.1016/j.earscirev.2026.105493
- Capturing Human-Biodiversity-Ecosystem Interactions in Advanced Models of the Land-System A. Arneth et al. https://doi.org/10.16993/tellus.4129
- The net ecosystem carbon balance (NECB) at catchment scales in the Arctic E. López-Blanco et al. https://doi.org/10.3389/fenvs.2025.1544586
- Using Free Air CO2 Enrichment data to constrain land surface model projections of the terrestrial carbon cycle N. Raoult et al. https://doi.org/10.5194/bg-21-1017-2024
- A long-term reconstruction of a global photosynthesis proxy over 1982–2023 J. Fang et al. https://doi.org/10.1038/s41597-025-04686-6
- Improving terrestrial carbon flux simulations with machine learning and global Earth observations C. Seiler https://doi.org/10.5194/esd-17-651-2026
- Can inverse calibration help improving process-explicit species distribution models? V. Van der Meersch & I. Chuine https://doi.org/10.1016/j.ecolmodel.2025.111132
- Evaluation of Original and Water Stress-Incorporated Modified Weather Research and Forecasting Vegetation Photosynthesis and Respiration Model in Simulating CO2 Flux and Concentration Variability over the Tibetan Plateau H. Niu et al. https://doi.org/10.3390/rs15235474
- Proximal Measurements of Solar-Induced Fluorescence and Surface Reflectance Capture Seasonal Productivity and Drought Stress Dynamics in a Semiarid Grassland Ecosystem X. Wang et al. https://doi.org/10.34133/remotesensing.1034
- Initial condition uncertainty exerts a large and persistent influence on model simulations of ecosystem carbon dynamics in California P. Selmants et al. https://doi.org/10.1088/2752-664X/ae565f
12 citations as recorded by crossref.
- Assimilating ESA CCI land surface temperature into the ORCHIDEE land surface model: insights from a multi-site study across Europe L. Olivera-Guerra et al. https://doi.org/10.5194/hess-29-261-2025
- Towards the assimilation of atmospheric CO2 concentration data in a land surface model using adjoint-free variational methods S. Beylat et al. https://doi.org/10.5194/gmd-18-7501-2025
- A U.S. scientific community review of carbon cycle science gaps and opportunities to better support earth system science and carbon management N. Parazoo et al. https://doi.org/10.1016/j.earscirev.2026.105493
- Capturing Human-Biodiversity-Ecosystem Interactions in Advanced Models of the Land-System A. Arneth et al. https://doi.org/10.16993/tellus.4129
- The net ecosystem carbon balance (NECB) at catchment scales in the Arctic E. López-Blanco et al. https://doi.org/10.3389/fenvs.2025.1544586
- Using Free Air CO2 Enrichment data to constrain land surface model projections of the terrestrial carbon cycle N. Raoult et al. https://doi.org/10.5194/bg-21-1017-2024
- A long-term reconstruction of a global photosynthesis proxy over 1982–2023 J. Fang et al. https://doi.org/10.1038/s41597-025-04686-6
- Improving terrestrial carbon flux simulations with machine learning and global Earth observations C. Seiler https://doi.org/10.5194/esd-17-651-2026
- Can inverse calibration help improving process-explicit species distribution models? V. Van der Meersch & I. Chuine https://doi.org/10.1016/j.ecolmodel.2025.111132
- Evaluation of Original and Water Stress-Incorporated Modified Weather Research and Forecasting Vegetation Photosynthesis and Respiration Model in Simulating CO2 Flux and Concentration Variability over the Tibetan Plateau H. Niu et al. https://doi.org/10.3390/rs15235474
- Proximal Measurements of Solar-Induced Fluorescence and Surface Reflectance Capture Seasonal Productivity and Drought Stress Dynamics in a Semiarid Grassland Ecosystem X. Wang et al. https://doi.org/10.34133/remotesensing.1034
- Initial condition uncertainty exerts a large and persistent influence on model simulations of ecosystem carbon dynamics in California P. Selmants et al. https://doi.org/10.1088/2752-664X/ae565f
Saved (final revised paper)
Latest update: 05 Oct 2026
Short summary
The impact of assimilating different dataset combinations on regional to global-scale C budgets is explored with the ORCHIDEE model. Assimilating simultaneously multiple datasets is preferable to optimize the values of the model parameters and avoid model overfitting. The challenges in constraining soil C disequilibrium using atmospheric CO2 data are highlighted for an accurate prediction of the land sink distribution.
The impact of assimilating different dataset combinations on regional to global-scale C budgets...
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