Journal cover Journal topic
Biogeosciences An interactive open-access journal of the European Geosciences Union
Journal topic
Volume 13, issue 14
Biogeosciences, 13, 4237–4251, 2016
https://doi.org/10.5194/bg-13-4237-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Biogeosciences, 13, 4237–4251, 2016
https://doi.org/10.5194/bg-13-4237-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 26 Jul 2016

Research article | 26 Jul 2016

Evaluation of 4 years of continuous δ13C(CO2) data using a moving Keeling plot method

Sanam Noreen Vardag et al.
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
ED: Reconsider after major revisions (06 Jul 2016) by Fortunat Joos
AR by Sanam Noreen Vardag on behalf of the Authors (08 Jul 2016)  Author's response    Manuscript
ED: Publish as is (08 Jul 2016) by Fortunat Joos
Publications Copernicus
Download
Short summary
Using a synthetic dataset, we show how to best determine the mean source signature, δS, at high temporal resolution using continuous CO2 and δ13C(CO2) data. We apply this method to measured data from Heidelberg and find a distinct seasonal cycle of δS. Disentangling this record into its source components requires the isotopic end members of CO2 from the biosphere and those from the fuel mix. They can be estimated from the δS record, but only when their relative share is close to 100 %.
Using a synthetic dataset, we show how to best determine the mean source signature, δS, at high...
Citation