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IF 5.154
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index 59h5-index 49
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Volume 9, issue 9
Geosci. Model Dev., 9, 3321-3346, 2016
https://doi.org/10.5194/gmd-9-3321-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-3321-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 9, 3321-3346, 2016
https://doi.org/10.5194/gmd-9-3321-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-3321-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Methods for assessment of models 20 Sep 2016
Methods for assessment of models | 20 Sep 2016
A new stepwise carbon cycle data assimilation system using multiple data streams to constrain the simulated land surface carbon cycle
Philippe Peylin et al.
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Total article views: 1,454 (including HTML, PDF, and XML)
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Total article views: 630 (including HTML, PDF, and XML)
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13 citations as recorded by crossref.
- 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
- Understanding the Land Carbon Cycle with Space Data: Current Status and Prospects J. Exbrayat et al. 10.1007/s10712-019-09506-2
- Evaluation and uncertainty analysis of regional-scale CLM4.5 net carbon flux estimates H. Post et al. 10.5194/bg-15-187-2018
- Assimilation of river discharge in a land surface model to improve estimates of the continental water cycles F. Wang et al. 10.5194/hess-22-3863-2018
- The EU-FP7 ERA-CLIM2 Project Contribution to Advancing Science and Production of Earth System Climate Reanalyses R. Buizza et al. 10.1175/BAMS-D-17-0199.1
- The potential benefit of using forest biomass data in addition to carbon and water flux measurements to constrain ecosystem model parameters: Case studies at two temperate forest sites T. Thum et al. 10.1016/j.agrformet.2016.12.004
- Reducing the uncertainty of parameters controlling seasonal carbon and water fluxes in Chinese forests and its implication for simulated climate sensitivities Y. Li et al. 10.1002/2017GB005714
- 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
- What can we learn from multi-data calibration of a process-based ecohydrological model? S. Kuppel et al. 10.1016/j.envsoft.2018.01.001
- Realized ecological forecast through an interactive Ecological Platform for Assimilating Data (EcoPAD, v1.0) into models Y. Huang et al. 10.5194/gmd-12-1119-2019
- Coupling the Canadian Terrestrial Ecosystem Model (CTEM v. 2.0) to Environment and Climate Change Canada's greenhouse gas forecast model (v.107-glb) B. Badawy et al. 10.5194/gmd-11-631-2018
- Quantifying the value of surveillance data for improving model predictions of lymphatic filariasis elimination E. Michael et al. 10.1371/journal.pntd.0006674
- Strong constraint on modelled global carbon uptake using solar-induced chlorophyll fluorescence data N. MacBean et al. 10.1038/s41598-018-20024-w
13 citations as recorded by crossref.
- 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
- Understanding the Land Carbon Cycle with Space Data: Current Status and Prospects J. Exbrayat et al. 10.1007/s10712-019-09506-2
- Evaluation and uncertainty analysis of regional-scale CLM4.5 net carbon flux estimates H. Post et al. 10.5194/bg-15-187-2018
- Assimilation of river discharge in a land surface model to improve estimates of the continental water cycles F. Wang et al. 10.5194/hess-22-3863-2018
- The EU-FP7 ERA-CLIM2 Project Contribution to Advancing Science and Production of Earth System Climate Reanalyses R. Buizza et al. 10.1175/BAMS-D-17-0199.1
- The potential benefit of using forest biomass data in addition to carbon and water flux measurements to constrain ecosystem model parameters: Case studies at two temperate forest sites T. Thum et al. 10.1016/j.agrformet.2016.12.004
- Reducing the uncertainty of parameters controlling seasonal carbon and water fluxes in Chinese forests and its implication for simulated climate sensitivities Y. Li et al. 10.1002/2017GB005714
- 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
- What can we learn from multi-data calibration of a process-based ecohydrological model? S. Kuppel et al. 10.1016/j.envsoft.2018.01.001
- Realized ecological forecast through an interactive Ecological Platform for Assimilating Data (EcoPAD, v1.0) into models Y. Huang et al. 10.5194/gmd-12-1119-2019
- Coupling the Canadian Terrestrial Ecosystem Model (CTEM v. 2.0) to Environment and Climate Change Canada's greenhouse gas forecast model (v.107-glb) B. Badawy et al. 10.5194/gmd-11-631-2018
- Quantifying the value of surveillance data for improving model predictions of lymphatic filariasis elimination E. Michael et al. 10.1371/journal.pntd.0006674
- Strong constraint on modelled global carbon uptake using solar-induced chlorophyll fluorescence data N. MacBean et al. 10.1038/s41598-018-20024-w
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Short summary
The study describes a carbon cycle data assimilation system that uses satellite observations of vegetation activity, net ecosystem exchange of carbon and water at many sites and atmospheric CO2 concentrations, in order to optimize the parameters of the ORCHIDEE land surface model. The optimized model is able to fit all three data streams leading to a land carbon uptake similar to independent estimates, which opens new perspectives for better prediction of the land carbon balance.
The study describes a carbon cycle data assimilation system that uses satellite observations of...
Geoscientific Model Development
An interactive open-access journal of the European Geosciences Union
