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Volume 9, issue 9 | Copyright
Geosci. Model Dev., 9, 2999-3026, 2016
https://doi.org/10.5194/gmd-9-2999-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

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 et al.
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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
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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.
We describe the Max Planck Institute Carbon Cycle Data Assimilation System (MPI-CCDAS). The...
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