Model–data fusion across ecosystems: from multisite optimizations to global simulations

Kuppel, S.; Peylin, P.; Maignan, F.; Chevallier, F.; Kiely, G.; Montagnani, L.; Cescatti, A.

doi:https://doi.org/10.5194/gmd-7-2581-2014

Articles | Volume 7, issue 6

https://doi.org/10.5194/gmd-7-2581-2014

© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-7-2581-2014

© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 7, issue 6

Development and technical paper

|

10 Nov 2014

Development and technical paper |

| 10 Nov 2014

Model–data fusion across ecosystems: from multisite optimizations to global simulations

S. Kuppel, P. Peylin, F. Maignan, F. Chevallier, G. Kiely, L. Montagnani, and A. Cescatti

Download

Final revised paper (published on 10 Nov 2014)
Supplement to the final revised paper
Preprint (discussion started on 06 May 2014)
Supplement to the preprint

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

SC C637: 'Review for Kuppel et al 2014', Matthew Smith, 27 May 2014
- AC C1622: 'Response to Matthew Smith', Sylvain Kuppel, 08 Sep 2014
SC C849: 'Review in correct format', Matthew Smith, 07 Jun 2014
- AC C1616: 'Response to Matthew Smith', Sylvain Kuppel, 08 Sep 2014
RC C1344: 'Review for Kuppel et al.', Anonymous Referee #1, 11 Aug 2014
- AC C1610: 'Response to Anonymous Referee #1', Sylvain Kuppel, 08 Sep 2014
RC C1354: 'Review of Kuppel et al', D. Schimel, 11 Aug 2014
- AC C1612: 'Response to David Schimel', Sylvain Kuppel, 08 Sep 2014

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Sylvain Kuppel on behalf of the Authors (08 Sep 2014) Author's response Manuscript

ED: Publish as is (30 Sep 2014) by Josef Koller

Short summary

A consistent calibration of an advanced land surface model was performed by grouping in situ information on land-atmosphere exchanges of carbon and water using broad ecosystem and climate classes. Signatures of improved carbon cycle simulations were found across spatial and temporal scales, along with insights into current model limitations. These results hold promising perspectives within the ongoing efforts towards building robust model-data fusion frameworks for earth system models.