Articles | Volume 19, issue 17
https://doi.org/10.5194/bg-19-4361-2022
© 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/bg-19-4361-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Sep 2022
Research article |
| 14 Sep 2022
| 14 Sep 2022
Local-scale evaluation of the simulated interactions between energy, water and vegetation in ISBA, ORCHIDEE and a diagnostic model
Department of Meteorological and Climatological Research, Royal Meteorological Institute, Brussels, Belgium
José Miguel Barrios
Department of Meteorological and Climatological Research, Royal Meteorological Institute, Brussels, Belgium
Liyang Liu
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France
Philippe Ciais
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France
Alirio Arboleda
Department of Meteorological and Climatological Research, Royal Meteorological Institute, Brussels, Belgium
Rafiq Hamdi
Department of Meteorological and Climatological Research, Royal Meteorological Institute, Brussels, Belgium
Manuela Balzarolo
Department of Biology, University of Antwerp, Antwerp, Belgium
Fabienne Maignan
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France
Françoise Gellens-Meulenberghs
Department of Meteorological and Climatological Research, Royal Meteorological Institute, Brussels, Belgium
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Cited
11 citations as recorded by crossref.
- 植被模型研究进展与展望 思. 李 et al. 10.1360/SSTe-2023-0204
- A First Verification of Sim2DSphere Model’s Ability to Predict the Spatiotemporal Variability of Parameters Characterizing Land Surface Interactions at Diverse European Ecosystems C. Lekka et al. 10.3390/s25051501
- Sim2DSphere: A novel modelling tool for the study of land surface interactions G. Petropoulos et al. 10.1016/j.envsoft.2024.106086
- Recent Developments to the SimSphere Land Surface Modelling Tool for the Study of Land–Atmosphere Interactions G. Petropoulos & C. Lekka 10.3390/s24103024
- Temporal variability of observed and simulated gross primary productivity, modulated by vegetation state and hydrometeorological drivers J. De Pue et al. 10.5194/bg-20-4795-2023
- A better simulation of water and carbon fluxes in a typical desert grassland ecosystem through the Common Land Model Y. Shao et al. 10.1016/j.jhydrol.2024.132111
- Carbon and Water Fluxes of the Boreal Evergreen Needleleaf Forest Biome Constrained by Assimilating Ecosystem Carbonyl Sulfide Flux Observations C. Abadie et al. 10.1029/2023JG007407
- Underestimated Interannual Variability of Terrestrial Vegetation Production by Terrestrial Ecosystem Models S. Lin et al. 10.1029/2023GB007696
- Embedding a novel phenology model into the Common Land Model for improving the modeling of land-atmosphere fluxes H. Gui et al. 10.1016/j.ecolmodel.2024.110782
- Progress of vegetation modelling and future research prospects S. Li et al. 10.1007/s11430-023-1367-1
- Principles for satellite monitoring of vegetation carbon uptake I. Prentice et al. 10.1038/s43017-024-00601-6
11 citations as recorded by crossref.
- 植被模型研究进展与展望 思. 李 et al. 10.1360/SSTe-2023-0204
- A First Verification of Sim2DSphere Model’s Ability to Predict the Spatiotemporal Variability of Parameters Characterizing Land Surface Interactions at Diverse European Ecosystems C. Lekka et al. 10.3390/s25051501
- Sim2DSphere: A novel modelling tool for the study of land surface interactions G. Petropoulos et al. 10.1016/j.envsoft.2024.106086
- Recent Developments to the SimSphere Land Surface Modelling Tool for the Study of Land–Atmosphere Interactions G. Petropoulos & C. Lekka 10.3390/s24103024
- Temporal variability of observed and simulated gross primary productivity, modulated by vegetation state and hydrometeorological drivers J. De Pue et al. 10.5194/bg-20-4795-2023
- A better simulation of water and carbon fluxes in a typical desert grassland ecosystem through the Common Land Model Y. Shao et al. 10.1016/j.jhydrol.2024.132111
- Carbon and Water Fluxes of the Boreal Evergreen Needleleaf Forest Biome Constrained by Assimilating Ecosystem Carbonyl Sulfide Flux Observations C. Abadie et al. 10.1029/2023JG007407
- Underestimated Interannual Variability of Terrestrial Vegetation Production by Terrestrial Ecosystem Models S. Lin et al. 10.1029/2023GB007696
- Embedding a novel phenology model into the Common Land Model for improving the modeling of land-atmosphere fluxes H. Gui et al. 10.1016/j.ecolmodel.2024.110782
- Progress of vegetation modelling and future research prospects S. Li et al. 10.1007/s11430-023-1367-1
- Principles for satellite monitoring of vegetation carbon uptake I. Prentice et al. 10.1038/s43017-024-00601-6
Latest update: 29 May 2025
Short summary
The functioning of ecosystems involves numerous biophysical processes which interact with each other. Land surface models (LSMs) are used to describe these processes and form an essential component of climate models. In this paper, we evaluate the performance of three LSMs and their interactions with soil moisture and vegetation. Though we found room for improvement in the simulation of soil moisture and drought stress, the main cause of errors was related to the simulated growth of vegetation.
The functioning of ecosystems involves numerous biophysical processes which interact with each...
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