Estimation of continuous anthropogenic CO2: model-based evaluation of CO2, CO, δ13C(CO2) and Δ14C(CO2) tracer methods

Vardag, S. N.; Gerbig, C.; Janssens-Maenhout, G.; Levin, I.

doi:https://doi.org/10.5194/acp-15-12705-2015

Articles | Volume 15, issue 22

https://doi.org/10.5194/acp-15-12705-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-15-12705-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 15, issue 22

Research article

|

16 Nov 2015

Research article |

| 16 Nov 2015

Estimation of continuous anthropogenic CO₂: model-based evaluation of CO₂, CO, δ¹³C(CO₂) and Δ¹⁴C(CO₂) tracer methods

S. N. Vardag, C. Gerbig, G. Janssens-Maenhout, and I. Levin

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Final revised paper (published on 16 Nov 2015)
Preprint (discussion started on 24 Jul 2015)

Interactive discussion

Status: closed

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

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RC C6204: 'Referee comment', Jocelyn Turnbull, 25 Aug 2015
- AC C8561: 'Reply to referee comment by Jocelyn Turnbull', Sanam Noreen Vardag, 27 Oct 2015
RC C6220: 'Referee comment', Anonymous Referee #2, 25 Aug 2015
- AC C8562: 'Response to interactive comment by anonymous referee #2', Sanam Noreen Vardag, 27 Oct 2015
AC C8563: 'Author comment', Sanam Noreen Vardag, 27 Oct 2015

Peer-review completion

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

AR by Sanam Noreen Vardag on behalf of the Authors (27 Oct 2015) Author's response Manuscript

ED: Publish subject to technical corrections (30 Oct 2015) by Jan Kaiser

AR by Sanam Noreen Vardag on behalf of the Authors (30 Oct 2015) Author's response Manuscript

Short summary

In this model sensitivity study we compare and evaluate the surrogate tracers CO2, CO, δ13C-CO2 and Δ14C-CO2 for estimating continuous anthropogenic CO2. The results can be used to optimize the measurement network design with respect to the partitioning of total CO2 into biospheric and anthropogenic CO2 contributions. This enables improvement and validation of highly resolved emission inventories using atmospheric observation and regional modeling.