Articles | Volume 6, issue 1
https://doi.org/10.5194/gmd-6-45-2013
© Author(s) 2013. 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-6-45-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Quantifying the model structural error in carbon cycle data assimilation systems
S. Kuppel
Laboratoire des Sciences du Climat et de l'Environnement, UMR8212, CEA-CNRS-UVSQ, 91191 Gif-sur-Yvette cedex, France
F. Chevallier
Laboratoire des Sciences du Climat et de l'Environnement, UMR8212, CEA-CNRS-UVSQ, 91191 Gif-sur-Yvette cedex, France
P. Peylin
Laboratoire des Sciences du Climat et de l'Environnement, UMR8212, CEA-CNRS-UVSQ, 91191 Gif-sur-Yvette cedex, France
Viewed
Total article views: 6,238 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 14 Aug 2012)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,558 | 3,433 | 247 | 6,238 | 262 | 206 |
- HTML: 2,558
- PDF: 3,433
- XML: 247
- Total: 6,238
- BibTeX: 262
- EndNote: 206
Total article views: 5,403 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,183 | 2,998 | 222 | 5,403 | 237 | 196 |
- HTML: 2,183
- PDF: 2,998
- XML: 222
- Total: 5,403
- BibTeX: 237
- EndNote: 196
Total article views: 835 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 14 Aug 2012)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
375 | 435 | 25 | 835 | 25 | 10 |
- HTML: 375
- PDF: 435
- XML: 25
- Total: 835
- BibTeX: 25
- EndNote: 10
Cited
29 citations as recorded by crossref.
- Quantifying and Reducing Uncertainty in Global Carbon Cycle Predictions: Lessons and Perspectives From 15 Years of Data Assimilation Studies With the ORCHIDEE Terrestrial Biosphere Model N. MacBean et al. 10.1029/2021GB007177
- Contrasting responses of grassland water and carbon exchanges to climate change between Tibetan Plateau and Inner Mongolia D. Liu et al. 10.1016/j.agrformet.2017.11.034
- Comment F. Chevallier & F. Bréon 10.1080/01621459.2017.1419138
- Joint assimilation of eddy covariance flux measurements and FAPAR products over temperate forests within a process‐oriented biosphere model C. Bacour et al. 10.1002/2015JG002966
- Constraining a land-surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System V1.0 G. Schürmann et al. 10.5194/gmd-9-2999-2016
- Estimating global annual gross primary production based on satellite-derived phenology and maximal carbon uptake capacity X. Xu & D. Chen 10.1016/j.envres.2024.119063
- Technical Note: Comparison of ensemble Kalman filter and variational approaches for CO<sub>2</sub> data assimilation A. Chatterjee & A. Michalak 10.5194/acp-13-11643-2013
- Fundamentals of data assimilation applied to biogeochemistry P. Rayner et al. 10.5194/acp-19-13911-2019
- Estimating global gross primary productivity using chlorophyll fluorescence and a data assimilation system with the BETHY-SCOPE model A. Norton et al. 10.5194/bg-16-3069-2019
- Model–data fusion across ecosystems: from multisite optimizations to global simulations S. Kuppel et al. 10.5194/gmd-7-2581-2014
- Using storage selection functions to assess mixing patterns and water ages of soil water, evaporation and transpiration A. Smith et al. 10.1016/j.advwatres.2020.103586
- Consistent assimilation of multiple data streams in a carbon cycle data assimilation system N. MacBean et al. 10.5194/gmd-9-3569-2016
- Diagnostic methods for atmospheric inversions of long-lived greenhouse gases A. Michalak et al. 10.5194/acp-17-7405-2017
- Estimating forest carbon fluxes using four different data-driven techniques based on long-term eddy covariance measurements: Model comparison and evaluation X. Dou & Y. Yang 10.1016/j.scitotenv.2018.01.202
- Balancing multiple constraints in model‐data integration: Weights and the parameter block approach T. Wutzler & N. Carvalhais 10.1002/2014JG002650
- Global Estimates of Marine Gross Primary Production Based on Machine Learning Upscaling of Field Observations Y. Huang et al. 10.1029/2020GB006718
- Assimilating solar-induced chlorophyll fluorescence into the terrestrial biosphere model BETHY-SCOPE v1.0: model description and information content A. Norton et al. 10.5194/gmd-11-1517-2018
- Spatiotemporal patterns of terrestrial gross primary production: A review A. Anav et al. 10.1002/2015RG000483
- A new moving strategy for the sequential Monte Carlo approach in optimizing the hydrological model parameters G. Zhu et al. 10.1016/j.advwatres.2018.02.007
- Improving Estimates of Gross Primary Productivity by Assimilating Solar‐Induced Fluorescence Satellite Retrievals in a Terrestrial Biosphere Model Using a Process‐Based SIF Model C. Bacour et al. 10.1029/2019JG005040
- On the statistical optimality of CO<sub>2</sub> atmospheric inversions assimilating CO<sub>2</sub> column retrievals F. Chevallier 10.5194/acp-15-11133-2015
- Towards a more detailed representation of high-latitude vegetation in the global land surface model ORCHIDEE (ORC-HL-VEGv1.0) A. Druel et al. 10.5194/gmd-10-4693-2017
- Assimilation of multiple datasets results in large differences in regional- to global-scale NEE and GPP budgets simulated by a terrestrial biosphere model C. Bacour et al. 10.5194/bg-20-1089-2023
- Spatio‐Temporal Model Variance‐Covariance Approach to Assimilating Streamflow Observations Into a Distributed Landscape Water Balance Model S. Tian et al. 10.1029/2021WR031649
- Modeling sugarcane yield with a process-based model from site to continental scale: uncertainties arising from model structure and parameter values A. Valade et al. 10.5194/gmd-7-1225-2014
- A new stepwise carbon cycle data assimilation system using multiple data streams to constrain the simulated land surface carbon cycle P. Peylin et al. 10.5194/gmd-9-3321-2016
- Testing the capability of ORCHIDEE land surface model to simulate Arctic ecosystems: Sensitivity analysis and site‐level model calibration S. Dantec‐Nédélec et al. 10.1002/2016MS000860
- Estimation of Community Land Model parameters for an improved assessment of net carbon fluxes at European sites H. Post et al. 10.1002/2015JG003297
- Current systematic carbon-cycle observations and the need for implementing a policy-relevant carbon observing system P. Ciais et al. 10.5194/bg-11-3547-2014
28 citations as recorded by crossref.
- Quantifying and Reducing Uncertainty in Global Carbon Cycle Predictions: Lessons and Perspectives From 15 Years of Data Assimilation Studies With the ORCHIDEE Terrestrial Biosphere Model N. MacBean et al. 10.1029/2021GB007177
- Contrasting responses of grassland water and carbon exchanges to climate change between Tibetan Plateau and Inner Mongolia D. Liu et al. 10.1016/j.agrformet.2017.11.034
- Comment F. Chevallier & F. Bréon 10.1080/01621459.2017.1419138
- Joint assimilation of eddy covariance flux measurements and FAPAR products over temperate forests within a process‐oriented biosphere model C. Bacour et al. 10.1002/2015JG002966
- Constraining a land-surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System V1.0 G. Schürmann et al. 10.5194/gmd-9-2999-2016
- Estimating global annual gross primary production based on satellite-derived phenology and maximal carbon uptake capacity X. Xu & D. Chen 10.1016/j.envres.2024.119063
- Technical Note: Comparison of ensemble Kalman filter and variational approaches for CO<sub>2</sub> data assimilation A. Chatterjee & A. Michalak 10.5194/acp-13-11643-2013
- Fundamentals of data assimilation applied to biogeochemistry P. Rayner et al. 10.5194/acp-19-13911-2019
- Estimating global gross primary productivity using chlorophyll fluorescence and a data assimilation system with the BETHY-SCOPE model A. Norton et al. 10.5194/bg-16-3069-2019
- Model–data fusion across ecosystems: from multisite optimizations to global simulations S. Kuppel et al. 10.5194/gmd-7-2581-2014
- Using storage selection functions to assess mixing patterns and water ages of soil water, evaporation and transpiration A. Smith et al. 10.1016/j.advwatres.2020.103586
- Consistent assimilation of multiple data streams in a carbon cycle data assimilation system N. MacBean et al. 10.5194/gmd-9-3569-2016
- Diagnostic methods for atmospheric inversions of long-lived greenhouse gases A. Michalak et al. 10.5194/acp-17-7405-2017
- Estimating forest carbon fluxes using four different data-driven techniques based on long-term eddy covariance measurements: Model comparison and evaluation X. Dou & Y. Yang 10.1016/j.scitotenv.2018.01.202
- Balancing multiple constraints in model‐data integration: Weights and the parameter block approach T. Wutzler & N. Carvalhais 10.1002/2014JG002650
- Global Estimates of Marine Gross Primary Production Based on Machine Learning Upscaling of Field Observations Y. Huang et al. 10.1029/2020GB006718
- Assimilating solar-induced chlorophyll fluorescence into the terrestrial biosphere model BETHY-SCOPE v1.0: model description and information content A. Norton et al. 10.5194/gmd-11-1517-2018
- Spatiotemporal patterns of terrestrial gross primary production: A review A. Anav et al. 10.1002/2015RG000483
- A new moving strategy for the sequential Monte Carlo approach in optimizing the hydrological model parameters G. Zhu et al. 10.1016/j.advwatres.2018.02.007
- Improving Estimates of Gross Primary Productivity by Assimilating Solar‐Induced Fluorescence Satellite Retrievals in a Terrestrial Biosphere Model Using a Process‐Based SIF Model C. Bacour et al. 10.1029/2019JG005040
- On the statistical optimality of CO<sub>2</sub> atmospheric inversions assimilating CO<sub>2</sub> column retrievals F. Chevallier 10.5194/acp-15-11133-2015
- Towards a more detailed representation of high-latitude vegetation in the global land surface model ORCHIDEE (ORC-HL-VEGv1.0) A. Druel et al. 10.5194/gmd-10-4693-2017
- Assimilation of multiple datasets results in large differences in regional- to global-scale NEE and GPP budgets simulated by a terrestrial biosphere model C. Bacour et al. 10.5194/bg-20-1089-2023
- Spatio‐Temporal Model Variance‐Covariance Approach to Assimilating Streamflow Observations Into a Distributed Landscape Water Balance Model S. Tian et al. 10.1029/2021WR031649
- Modeling sugarcane yield with a process-based model from site to continental scale: uncertainties arising from model structure and parameter values A. Valade et al. 10.5194/gmd-7-1225-2014
- A new stepwise carbon cycle data assimilation system using multiple data streams to constrain the simulated land surface carbon cycle P. Peylin et al. 10.5194/gmd-9-3321-2016
- Testing the capability of ORCHIDEE land surface model to simulate Arctic ecosystems: Sensitivity analysis and site‐level model calibration S. Dantec‐Nédélec et al. 10.1002/2016MS000860
- Estimation of Community Land Model parameters for an improved assessment of net carbon fluxes at European sites H. Post et al. 10.1002/2015JG003297
Saved (final revised paper)
Latest update: 21 Nov 2024