Articles | Volume 12, issue 4
https://doi.org/10.5194/bg-12-1131-2015
https://doi.org/10.5194/bg-12-1131-2015
Research article
 | 
24 Feb 2015
Research article |  | 24 Feb 2015

A global carbon assimilation system based on a dual optimization method

H. Zheng, Y. Li, J. M. Chen, T. Wang, Q. Huang, W. X. Huang, L. H. Wang, S. M. Li, W. P. Yuan, X. Zheng, S. P. Zhang, Z. Q. Chen, and F. Jiang

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Yong Li on behalf of the Authors (16 Jan 2015)  Author's response   Manuscript 
ED: Publish subject to technical corrections (16 Jan 2015) by Trevor Keenan
AR by Yong Li on behalf of the Authors (17 Jan 2015)  Author's response   Manuscript 
Download
Short summary
Ecological models often suffer from substantial biases due to inaccurate simulations of complex ecological processes. We introduce a set of scaling factors (parameters) for an ecological model on the basis of plant functional type (PFT) and latitudes. A global carbon assimilation system (GCAS-DOM) is developed by employing a dual optimization method (DOM) to invert the time-dependent ecological model parameter state and the net carbon flux state on 1 degree grid cells simultaneously.
Altmetrics
Final-revised paper
Preprint