Articles | Volume 11, issue 9
https://doi.org/10.5194/gmd-11-3903-2018
https://doi.org/10.5194/gmd-11-3903-2018
Model description paper
 | 
27 Sep 2018
Model description paper |  | 27 Sep 2018

GOLUM-CNP v1.0: a data-driven modeling of carbon, nitrogen and phosphorus cycles in major terrestrial biomes

Yilong Wang, Philippe Ciais, Daniel Goll, Yuanyuan Huang, Yiqi Luo, Ying-Ping Wang, A. Anthony Bloom, Grégoire Broquet, Jens Hartmann, Shushi Peng, Josep Penuelas, Shilong Piao, Jordi Sardans, Benjamin D. Stocker, Rong Wang, Sönke Zaehle, and Sophie Zechmeister-Boltenstern

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Yilong Wang on behalf of the Authors (25 Jul 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (27 Jul 2018) by Hisashi Sato
RR by Anonymous Referee #1 (09 Aug 2018)
RR by Anonymous Referee #2 (14 Aug 2018)
ED: Publish subject to minor revisions (review by editor) (20 Aug 2018) by Hisashi Sato
AR by Yilong Wang on behalf of the Authors (26 Aug 2018)  Author's response    Manuscript
ED: Publish as is (03 Sep 2018) by Hisashi Sato
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Short summary
We present a new modeling framework called Global Observation-based Land-ecosystems Utilization Model of Carbon, Nitrogen and Phosphorus (GOLUM-CNP) that combines a data-constrained C-cycle analysis with data-driven estimates of N and P inputs and losses and with observed stoichiometric ratios. GOLUM-CNP provides a traceable tool, where a consistency between different datasets of global C, N, and P cycles has been achieved.