Articles | Volume 15, issue 24
https://doi.org/10.5194/gmd-15-9111-2022
© Author(s) 2022. 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-15-9111-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluating the vegetation–atmosphere coupling strength of ORCHIDEE land surface model (v7266)
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), IPSL, CEA/CNRS/UVSQ, Gif sur Yvette, France
Laboratoire de Météorologie Dynamique, IPSL, Sorbonne Université/CNRS, Paris, France
Devaraju Narayanappa
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), IPSL, CEA/CNRS/UVSQ, Gif sur Yvette, France
Philippe Ciais
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), IPSL, CEA/CNRS/UVSQ, Gif sur Yvette, France
Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, 100084, China
Daniel Goll
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), IPSL, CEA/CNRS/UVSQ, Gif sur Yvette, France
Nicolas Vuichard
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), IPSL, CEA/CNRS/UVSQ, Gif sur Yvette, France
Martin G. De Kauwe
School of Biological Sciences, University of Bristol, Bristol, BS8 1TQ, UK
Laurent Li
Laboratoire de Météorologie Dynamique, IPSL, Sorbonne Université/CNRS, Paris, France
Fabienne Maignan
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), IPSL, CEA/CNRS/UVSQ, Gif sur Yvette, France
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Cited
10 citations as recorded by crossref.
- How accurately does L band vegetation optical depth predict aboveground biomass? Y. Zhang et al. https://doi.org/10.1016/j.jag.2025.104931
- A biophysical model to simulate seasonal variations of soil respiration in agroecosystems in China S. Chen et al. https://doi.org/10.1016/j.agrformet.2023.109524
- Disentangling Effects of Vegetation Structure and Physiology on Land–Atmosphere Coupling W. Li et al. https://doi.org/10.1111/gcb.70035
- Systematic Underestimation of Canopy Conductance Sensitivity to Drought by Earth System Models J. Green et al. https://doi.org/10.1029/2023AV001026
- Observed sensitivity of evapotranspiration to tropical tree cover change X. Liu et al. https://doi.org/10.1088/1748-9326/ae3faf
- An adaptable DTS-based parametric method to probe near-surface vertical temperature profiles at millimeter resolution C. ter Horst et al. https://doi.org/10.5194/amt-18-6853-2025
- Observed declining strength of vegetation-atmosphere coupling S. Li et al. https://doi.org/10.1016/j.agrformet.2026.111051
- Resolving effects of leaf pigmentation changes and plant residue on the energy balance of winter wheat cultivation in the ORCHIDEE-CROP model K. Yu et al. https://doi.org/10.5194/gmd-19-7217-2026
- Ecosystem-scale energy balance characteristics in mixed coniferous and broad-leaved forests in southwestern China K. Zhao et al. https://doi.org/10.1016/j.agrformet.2026.111227
- Rethinking the Roughness Height: An Improved Description of Temperature Profiles over Short Vegetation J. Boekee et al. https://doi.org/10.1007/s10546-024-00871-z
10 citations as recorded by crossref.
- How accurately does L band vegetation optical depth predict aboveground biomass? Y. Zhang et al. https://doi.org/10.1016/j.jag.2025.104931
- A biophysical model to simulate seasonal variations of soil respiration in agroecosystems in China S. Chen et al. https://doi.org/10.1016/j.agrformet.2023.109524
- Disentangling Effects of Vegetation Structure and Physiology on Land–Atmosphere Coupling W. Li et al. https://doi.org/10.1111/gcb.70035
- Systematic Underestimation of Canopy Conductance Sensitivity to Drought by Earth System Models J. Green et al. https://doi.org/10.1029/2023AV001026
- Observed sensitivity of evapotranspiration to tropical tree cover change X. Liu et al. https://doi.org/10.1088/1748-9326/ae3faf
- An adaptable DTS-based parametric method to probe near-surface vertical temperature profiles at millimeter resolution C. ter Horst et al. https://doi.org/10.5194/amt-18-6853-2025
- Observed declining strength of vegetation-atmosphere coupling S. Li et al. https://doi.org/10.1016/j.agrformet.2026.111051
- Resolving effects of leaf pigmentation changes and plant residue on the energy balance of winter wheat cultivation in the ORCHIDEE-CROP model K. Yu et al. https://doi.org/10.5194/gmd-19-7217-2026
- Ecosystem-scale energy balance characteristics in mixed coniferous and broad-leaved forests in southwestern China K. Zhao et al. https://doi.org/10.1016/j.agrformet.2026.111227
- Rethinking the Roughness Height: An Improved Description of Temperature Profiles over Short Vegetation J. Boekee et al. https://doi.org/10.1007/s10546-024-00871-z
Saved (final revised paper)
Latest update: 12 Sep 2026
Short summary
There are a few studies to examine if current models correctly represented the complex processes of transpiration. Here, we use a coefficient Ω, which indicates if transpiration is mainly controlled by vegetation processes or by turbulence, to evaluate the ORCHIDEE model. We found a good performance of ORCHIDEE, but due to compensation of biases in different processes, we also identified how different factors control Ω and where the model is wrong. Our method is generic to evaluate other models.
There are a few studies to examine if current models correctly represented the complex processes...