Forecasting global atmospheric CO<sub>2</sub>

Agustí-Panareda, A.; Massart, S.; Chevallier, F.; Boussetta, S.; Balsamo, G.; Beljaars, A.; Ciais, P.; Deutscher, N. M.; Engelen, R.; Jones, L.; Kivi, R.; Paris, J.-D.; Peuch, V.-H.; Sherlock, V.; Vermeulen, A. T.; Wennberg, P. O.; Wunch, D.

doi:https://doi.org/10.5194/acp-14-11959-2014

Articles | Volume 14, issue 21

https://doi.org/10.5194/acp-14-11959-2014

© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Monitoring atmospheric composition and climate, research in...

https://doi.org/10.5194/acp-14-11959-2014

© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 14, issue 21

Research article

|

14 Nov 2014

Research article |

| 14 Nov 2014

Forecasting global atmospheric CO₂

A. Agustí-Panareda, S. Massart, F. Chevallier, S. Boussetta, G. Balsamo, A. Beljaars, P. Ciais, N. M. Deutscher, R. Engelen, L. Jones, R. Kivi, J.-D. Paris, V.-H. Peuch, V. Sherlock, A. T. Vermeulen, P. O. Wennberg, and D. Wunch

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Final revised paper (published on 14 Nov 2014)
Preprint (discussion started on 27 May 2014)

Interactive discussion

Status: closed

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

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RC C4033: 'Referee comments', Anonymous Referee #2, 23 Jun 2014
- AC C5619: 'REPLY TO REFEREE 2', Anna Agusti-Panareda, 05 Aug 2014
RC C4086: 'Review of Austi-Panareda et al', Anonymous Referee #1, 25 Jun 2014
- AC C5626: 'REPLY TO REFEREE 1', Anna Agusti-Panareda, 05 Aug 2014

Peer-review completion

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

AR by Anna Agusti-Panareda on behalf of the Authors (08 Sep 2014) Author's response Manuscript

ED: Publish as is (08 Sep 2014) by Stefano Galmarini

AR by Anna Agusti-Panareda on behalf of the Authors (03 Oct 2014)

Short summary

This paper presents a new operational CO2 forecast product as part of the Copernicus Atmospheric Services suite of atmospheric composition products, using the state-of-the-art numerical weather prediction model from the European Centre of Medium-Range Weather Forecasts. The evaluation with independent observations shows that the forecast has skill in predicting the synoptic variability of CO2. The online simulation of CO2 fluxes from vegetation contributes to this skill.

Forecasting global atmospheric CO2

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Interactive discussion

Peer-review completion

Forecasting global atmospheric CO₂