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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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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.
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.

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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Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Svenja Lange on behalf of the Authors (06 Jul 2016)  Author's response    Manuscript
ED: Reconsider after major revisions (08 Jul 2016) by Jatin Kala
AR by Svenja Lange on behalf of the Authors (23 Aug 2016)  Author's response    Manuscript
ED: Publish subject to technical corrections (30 Aug 2016) by Jatin Kala
AR by Philippe Peylin on behalf of the Authors (30 Aug 2016)  Author's response    Manuscript
Publications Copernicus
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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...
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