Articles | Volume 9, issue 9
https://doi.org/10.5194/gmd-9-2999-2016
https://doi.org/10.5194/gmd-9-2999-2016
Development and technical paper
 | 
02 Sep 2016
Development and technical paper |  | 02 Sep 2016

Constraining a land-surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System V1.0

Gregor J. Schürmann, Thomas Kaminski, Christoph Köstler, Nuno Carvalhais, Michael Voßbeck, Jens Kattge, Ralf Giering, Christian Rödenbeck, Martin Heimann, and Sönke Zaehle

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Gregor Schürmann on behalf of the Authors (11 Jul 2016)  Author's response   Manuscript 
ED: Publish subject to minor revisions (Editor review) (19 Jul 2016) by Jatin Kala
AR by Gregor Schürmann on behalf of the Authors (02 Aug 2016)  Author's response   Manuscript 
ED: Publish subject to technical corrections (03 Aug 2016) by Jatin Kala
AR by Gregor Schürmann on behalf of the Authors (08 Aug 2016)  Manuscript 
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Short summary
We describe the Max Planck Institute Carbon Cycle Data Assimilation System (MPI-CCDAS). The system improves the modelled carbon cycle of the terrestrial biosphere by systematically confronting (or assimilating) the model with observations of atmospheric CO2 and fractions of absorbed photosynthetically active radiation. Jointly assimilating both data streams outperforms the single-data stream experiments, thus showing the value of a multi-data stream assimilation.