A new stepwise carbon cycle data assimilation system using multiple data
streams to constrain the simulated land surface carbon cycle

Peylin, Philippe; Bacour, Cédric; MacBean, Natasha; Leonard, Sébastien; Rayner, Peter; Kuppel, Sylvain; Koffi, Ernest; Kane, Abdou; Maignan, Fabienne; Chevallier, Frédéric; Ciais, Philippe; Prunet, Pascal

doi:https://doi.org/10.5194/gmd-9-3321-2016

Articles | 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.

Articles | Volume 9, issue 9

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.

Data sets

Surface Reflectance Daily L3 Global 0.05Deg CMG, Version 5 NASA LP DAAC https://lpdaac.usgs.gov

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.