Articles | Volume 16, issue 18
https://doi.org/10.5194/acp-16-12005-2016
https://doi.org/10.5194/acp-16-12005-2016
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, Michael Neish, Monique Tanguay, Claude Girard, Jean de Grandpré, Kirill Semeniuk, Sylvie Gravel, Shuzhan Ren, Sébastien Roche, Douglas Chan, and Kimberly Strong

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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
AR by Saroja Polavarapu on behalf of the Authors (13 Sep 2016)
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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.
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