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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Volume 16, issue 18
Atmos. Chem. Phys., 16, 12005–12038, 2016
https://doi.org/10.5194/acp-16-12005-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 16, 12005–12038, 2016
https://doi.org/10.5194/acp-16-12005-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 26 Sep 2016

Research article | 26 Sep 2016

Greenhouse gas simulations with a coupled meteorological and transport model: the predictability of CO2

Saroja M. Polavarapu et al.

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Saroja Polavarapu on behalf of the Authors (22 Aug 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (26 Aug 2016) by Christoph Gerbig
RR by Anonymous Referee #1 (30 Aug 2016)
RR by Anonymous Referee #2 (02 Sep 2016)
ED: Publish as is (13 Sep 2016) by Christoph Gerbig
Publications Copernicus
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Short summary
CO2 predictions are used to compute model–data mismatches when estimating surfaces fluxes using atmospheric observations together with an atmospheric transport model. By isolating the component of transport error which is due to uncertain meteorological analyses, it is demonstrated that CO2 can only be defined on large spatial scales. Thus, there is a spatial scale below which we cannot infer fluxes simply due to the fact that meteorological analyes are imperfect.
CO2 predictions are used to compute model–data mismatches when estimating surfaces fluxes using...
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