Articles | Volume 7, issue 6
https://doi.org/10.5194/gmd-7-2581-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-7-2581-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
10 Nov 2014
Development and technical paper |
| 10 Nov 2014
Model–data fusion across ecosystems: from multisite optimizations to global simulations
Laboratoire des Sciences du Climat et de l'Environnement, UMR 8212 CEA-CNRS-UVSQ, 91191 Gif-sur-Yvette CEDEX, France
Grupo de Estudios Ambientales, IMASL – CONICET/Universidad Nacional de San Luis, Ejército de los Andes 950, D5700HHW San Luis, Argentina
P. Peylin
Laboratoire des Sciences du Climat et de l'Environnement, UMR 8212 CEA-CNRS-UVSQ, 91191 Gif-sur-Yvette CEDEX, France
F. Maignan
Laboratoire des Sciences du Climat et de l'Environnement, UMR 8212 CEA-CNRS-UVSQ, 91191 Gif-sur-Yvette CEDEX, France
F. Chevallier
Laboratoire des Sciences du Climat et de l'Environnement, UMR 8212 CEA-CNRS-UVSQ, 91191 Gif-sur-Yvette CEDEX, France
G. Kiely
Civil and Environmental Engineering Department, and Environmental Research Institute, University College Cork, Cork, Ireland
L. Montagnani
Forest Services, Autonomous Province of Bolzano, 39100 Bolzano, Italy
A. Cescatti
European Commission, Joint Research Center, Institute for Environment and Sustainability, Ispra, Italy
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- Covariations between plant functional traits emerge from constraining parameterization of a terrestrial biosphere model M. Peaucelle et al. 10.1111/geb.12937
- Constraining modelled global vegetation dynamics and carbon turnover using multiple satellite observations M. Forkel et al. 10.1038/s41598-019-55187-7
- Local-scale evaluation of the simulated interactions between energy, water and vegetation in ISBA, ORCHIDEE and a diagnostic model J. De Pue et al. 10.5194/bg-19-4361-2022
- Understanding the Land Carbon Cycle with Space Data: Current Status and Prospects J. Exbrayat et al. 10.1007/s10712-019-09506-2
- Synergistic Application of Multiple Machine Learning Algorithms and Hyperparameter Optimization Strategies for Net Ecosystem Productivity Prediction in Southeast Asia C. Huang et al. 10.3390/rs16010017
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- Consistent assimilation of multiple data streams in a carbon cycle data assimilation system N. MacBean et al. 10.5194/gmd-9-3569-2016
- Land surface model parameter optimisation using in situ flux data: comparison of gradient-based versus random search algorithms (a case study using ORCHIDEE v1.9.5.2) V. Bastrikov et al. 10.5194/gmd-11-4739-2018
- 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 new model of the global biogeochemical cycle of carbonyl sulfide – Part 2: Use of carbonyl sulfide to constrain gross primary productivity in current vegetation models T. Launois et al. 10.5194/acp-15-9285-2015
- Improving the global MODIS GPP model by optimizing parameters with FLUXNET data X. Huang et al. 10.1016/j.agrformet.2020.108314
- Using satellite data to improve the leaf phenology of a global terrestrial biosphere model N. MacBean et al. 10.5194/bg-12-7185-2015
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- Estimation of Community Land Model parameters for an improved assessment of net carbon fluxes at European sites H. Post et al. 10.1002/2015JG003297
- Photosynthetic productivity and its efficiencies in ISIMIP2a biome models: benchmarking for impact assessment studies A. Ito et al. 10.1088/1748-9326/aa7a19
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- 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
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Short summary
A consistent calibration of an advanced land surface model was performed by grouping in situ information on land-atmosphere exchanges of carbon and water using broad ecosystem and climate classes. Signatures of improved carbon cycle simulations were found across spatial and temporal scales, along with insights into current model limitations. These results hold promising perspectives within the ongoing efforts towards building robust model-data fusion frameworks for earth system models.
A consistent calibration of an advanced land surface model was performed by grouping in situ...
