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

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

doi:https://doi.org/10.5194/gmd-9-2999-2016

Articles | Volume 9, issue 9

https://doi.org/10.5194/gmd-9-2999-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-9-2999-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 9

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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Final revised paper (published on 02 Sep 2016)
Preprint (discussion started on 19 Jan 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review of "Constraining a land surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System"', Anonymous Referee #1, 23 Feb 2016
- AC2: 'Reply to RC1', Gregor Schürmann, 24 Jun 2016
RC2: 'MPI carbon cycle data assimilation system', Anonymous Referee #2, 27 Apr 2016
- AC3: 'Reply to RC2', Gregor Schürmann, 24 Jun 2016
RC3: 'Interesting but manuscript needs work', Anonymous Referee #3, 11 May 2016
- AC4: 'Reply to RC3', Gregor Schürmann, 24 Jun 2016
AC1: 'Modifications to the manuscript', Gregor Schürmann, 24 Jun 2016

Peer-review completion

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

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.