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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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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.
Articles | Volume 9, issue 9
Geosci. Model Dev., 9, 3321–3346, 2016
https://doi.org/10.5194/gmd-9-3321-2016
Geosci. Model Dev., 9, 3321–3346, 2016
https://doi.org/10.5194/gmd-9-3321-2016

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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