Articles | Volume 11, issue 1
Model description paper
22 Jan 2018
Model description paper |  | 22 Jan 2018

The CarbonTracker Data Assimilation System for CO2 and δ13C (CTDAS-C13 v1.0): retrieving information on land–atmosphere exchange processes

Ivar R. van der Velde, John B. Miller, Michiel K. van der Molen, Pieter P. Tans, Bruce H. Vaughn, James W. C. White, Kevin Schaefer, and Wouter Peters


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 Ivar van der Velde on behalf of the Authors (26 Sep 2017)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (09 Oct 2017) by Alexander Archibald
RR by Peter Rayner (13 Nov 2017)
ED: Publish as is (13 Nov 2017) by Alexander Archibald
AR by Ivar van der Velde on behalf of the Authors (22 Nov 2017)  Manuscript 
Short summary
We explored an inverse modeling technique to interpret global atmospheric measurements of CO2 and the ratio of its stable carbon isotopes (δ13C). We detected the possible underestimation of drought stress in biosphere models after applying combined atmospheric CO2 and δ13C constraints. This study highlights the importance of improving the representation of the biosphere in carbon–climate models, in particular in a world where droughts become more extreme and more frequent.