Articles | Volume 14, issue 4
https://doi.org/10.5194/gmd-14-1987-2021
© Author(s) 2021. 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-14-1987-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
14 Apr 2021
Model evaluation paper |
| 14 Apr 2021
| 14 Apr 2021
Global evaluation of the nutrient-enabled version of the land surface model ORCHIDEE-CNP v1.2 (r5986)
Laboratoire des Sciences du Climat et de 1'Environnement/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, 91191, France
Laboratoire des Sciences du Climat et de 1'Environnement/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, 91191, France
Department of Geography, University of Augsburg, Augsburg, Germany
Jinfeng Chang
Ecosystems Services and Management Program, International Institute
for Applied Systems Analysis (IIASA), Schlossplatz 1, 2361 Laxenburg,
Austria
Philippe Ciais
Laboratoire des Sciences du Climat et de 1'Environnement/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, 91191, France
Betrand Guenet
Laboratoire des Sciences du Climat et de 1'Environnement/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, 91191, France
Laboratoire de Géologie, UMR 8538, Ecole Normale
Supérieure, PSL Research University, CNRS, Paris, France
Julian Helfenstein
Agroecology and Environment, Agroscope, Reckenholzstrasse 191, 8046
Zurich, Switzerland
Yuanyuan Huang
Laboratoire des Sciences du Climat et de 1'Environnement/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, 91191, France
CSIRO Oceans and Atmosphere, Aspendale 3195, Australia
Ronny Lauerwald
Laboratoire des Sciences du Climat et de 1'Environnement/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, 91191, France
Department Geoscience, Environment & Society, Universite libre de Bruxelles, 1050 Brussels, Belgium
Fabienne Maignan
Laboratoire des Sciences du Climat et de 1'Environnement/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, 91191, France
Victoria Naipal
Laboratoire des Sciences du Climat et de 1'Environnement/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, 91191, France
Department of Geography, Ludwig-Maximilian University, Munich,
Germany
Yilong Wang
Laboratoire des Sciences du Climat et de 1'Environnement/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, 91191, France
Key Laboratory of Land Surface Pattern and Simulation, Institute of
Geographical Sciences and Natural Resources Research, Chinese Academy of
Sciences, Beijing, China
Hui Yang
Laboratoire des Sciences du Climat et de 1'Environnement/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, 91191, France
Haicheng Zhang
Laboratoire des Sciences du Climat et de 1'Environnement/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, 91191, France
Department Geoscience, Environment & Society, Universite libre de Bruxelles, 1050 Brussels, Belgium
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Cited
22 citations as recorded by crossref.
- Uncertainty propagation in a global biogeochemical model driven by leaf area data C. Bian & J. Xia 10.3389/fevo.2023.1105832
- Contribution of Incorporating the Phosphorus Cycle into TRIPLEX-CNP to Improve the Quantification of Land Carbon Cycle J. Ding et al. 10.3390/land11060778
- Exploring the role of bedrock representation on plant transpiration response during dry periods at four forested sites in Europe C. Jiménez-Rodríguez et al. 10.5194/bg-19-3395-2022
- Impact of merging of historical and future climate data sets on land carbon cycle projections for South America C. Huntingford et al. 10.1002/cli2.24
- Seasonality of cholera in Kolkata and the influence of climate D. Shackleton et al. 10.1186/s12879-023-08532-1
- Evaluating nitrogen cycling in terrestrial biosphere models: a disconnect between the carbon and nitrogen cycles S. Kou-Giesbrecht et al. 10.5194/esd-14-767-2023
- Improved representation of phosphorus exchange on soil mineral surfaces reduces estimates of phosphorus limitation in temperate forest ecosystems L. Yu et al. 10.5194/bg-20-57-2023
- Machine learning for accelerating process‐based computation of land biogeochemical cycles Y. Sun et al. 10.1111/gcb.16623
- Connecting soils to life in conservation planning, nutrient cycling, and planetary science R. Lybrand 10.1016/j.earscirev.2022.104247
- Global evaluation of terrestrial biogeochemistry in the Energy Exascale Earth System Model (E3SM) and the role of the phosphorus cycle in the historical terrestrial carbon balance X. Yang et al. 10.5194/bg-20-2813-2023
- Spatiotemporal patterns and drivers of terrestrial dissolved organic carbon (DOC) leaching into the European river network C. Gommet et al. 10.5194/esd-13-393-2022
- Improved Constraints on the Recent Terrestrial Carbon Sink Over China by Assimilating OCO‐2 XCO2 Retrievals W. He et al. 10.1029/2022JD037773
- Optimizing Carbon Cycle Parameters Drastically Improves Terrestrial Biosphere Model Underestimates of Dryland Mean Net CO2 Flux and its Inter‐Annual Variability K. Mahmud et al. 10.1029/2021JG006400
- A global dataset on phosphorus in agricultural soils B. Ringeval et al. 10.1038/s41597-023-02751-6
- Representation of the phosphorus cycle in the Joint UK Land Environment Simulator (vn5.5_JULES-CNP) M. Nakhavali et al. 10.5194/gmd-15-5241-2022
- Terrestrial Phosphorus Cycling: Responses to Climatic Change D. Menge et al. 10.1146/annurev-ecolsys-110421-102458
- Potential CO2 removal from enhanced weathering by ecosystem responses to powdered rock D. Goll et al. 10.1038/s41561-021-00798-x
- Quantification and uncertainty of global upland soil methane sinks: Processes, controls, model limitations, and improvements H. Song et al. 10.1016/j.earscirev.2024.104758
- How do tropical tree species maintain high growth rates on low-phosphorus soils? R. Aoyagi et al. 10.1007/s11104-022-05602-2
- Atmospheric phosphorus deposition amplifies carbon sinks in simulations of a tropical forest in Central Africa D. Goll et al. 10.1111/nph.18535
- Seasonal peak photosynthesis is hindered by late canopy development in northern ecosystems Q. Zhao et al. 10.1038/s41477-022-01278-9
- Dynamic global vegetation models underestimate net CO2 flux mean and inter-annual variability in dryland ecosystems N. MacBean et al. 10.1088/1748-9326/ac1a38
22 citations as recorded by crossref.
- Uncertainty propagation in a global biogeochemical model driven by leaf area data C. Bian & J. Xia 10.3389/fevo.2023.1105832
- Contribution of Incorporating the Phosphorus Cycle into TRIPLEX-CNP to Improve the Quantification of Land Carbon Cycle J. Ding et al. 10.3390/land11060778
- Exploring the role of bedrock representation on plant transpiration response during dry periods at four forested sites in Europe C. Jiménez-Rodríguez et al. 10.5194/bg-19-3395-2022
- Impact of merging of historical and future climate data sets on land carbon cycle projections for South America C. Huntingford et al. 10.1002/cli2.24
- Seasonality of cholera in Kolkata and the influence of climate D. Shackleton et al. 10.1186/s12879-023-08532-1
- Evaluating nitrogen cycling in terrestrial biosphere models: a disconnect between the carbon and nitrogen cycles S. Kou-Giesbrecht et al. 10.5194/esd-14-767-2023
- Improved representation of phosphorus exchange on soil mineral surfaces reduces estimates of phosphorus limitation in temperate forest ecosystems L. Yu et al. 10.5194/bg-20-57-2023
- Machine learning for accelerating process‐based computation of land biogeochemical cycles Y. Sun et al. 10.1111/gcb.16623
- Connecting soils to life in conservation planning, nutrient cycling, and planetary science R. Lybrand 10.1016/j.earscirev.2022.104247
- Global evaluation of terrestrial biogeochemistry in the Energy Exascale Earth System Model (E3SM) and the role of the phosphorus cycle in the historical terrestrial carbon balance X. Yang et al. 10.5194/bg-20-2813-2023
- Spatiotemporal patterns and drivers of terrestrial dissolved organic carbon (DOC) leaching into the European river network C. Gommet et al. 10.5194/esd-13-393-2022
- Improved Constraints on the Recent Terrestrial Carbon Sink Over China by Assimilating OCO‐2 XCO2 Retrievals W. He et al. 10.1029/2022JD037773
- Optimizing Carbon Cycle Parameters Drastically Improves Terrestrial Biosphere Model Underestimates of Dryland Mean Net CO2 Flux and its Inter‐Annual Variability K. Mahmud et al. 10.1029/2021JG006400
- A global dataset on phosphorus in agricultural soils B. Ringeval et al. 10.1038/s41597-023-02751-6
- Representation of the phosphorus cycle in the Joint UK Land Environment Simulator (vn5.5_JULES-CNP) M. Nakhavali et al. 10.5194/gmd-15-5241-2022
- Terrestrial Phosphorus Cycling: Responses to Climatic Change D. Menge et al. 10.1146/annurev-ecolsys-110421-102458
- Potential CO2 removal from enhanced weathering by ecosystem responses to powdered rock D. Goll et al. 10.1038/s41561-021-00798-x
- Quantification and uncertainty of global upland soil methane sinks: Processes, controls, model limitations, and improvements H. Song et al. 10.1016/j.earscirev.2024.104758
- How do tropical tree species maintain high growth rates on low-phosphorus soils? R. Aoyagi et al. 10.1007/s11104-022-05602-2
- Atmospheric phosphorus deposition amplifies carbon sinks in simulations of a tropical forest in Central Africa D. Goll et al. 10.1111/nph.18535
- Seasonal peak photosynthesis is hindered by late canopy development in northern ecosystems Q. Zhao et al. 10.1038/s41477-022-01278-9
- Dynamic global vegetation models underestimate net CO2 flux mean and inter-annual variability in dryland ecosystems N. MacBean et al. 10.1088/1748-9326/ac1a38
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Short summary
We evaluated the performance of the nutrient-enabled version of the land surface model ORCHIDEE-CNP v1.2 against remote sensing, ground-based measurement networks and ecological databases. The simulated carbon, nitrogen and phosphorus fluxes among different spatial scales are generally in good agreement with data-driven estimates. However, the recent carbon sink in the Northern Hemisphere is substantially underestimated. Potential causes and model development priorities are discussed.
We evaluated the performance of the nutrient-enabled version of the land surface model...
