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ACP | Articles | Volume 20, issue 3
Atmos. Chem. Phys., 20, 1795–1816, 2020
https://doi.org/10.5194/acp-20-1795-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 20, 1795–1816, 2020
https://doi.org/10.5194/acp-20-1795-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 14 Feb 2020

Research article | 14 Feb 2020

Uncertainty analysis of a European high-resolution emission inventory of CO2 and CO to support inverse modelling and network design

Ingrid Super et al.

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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 Ingrid Super on behalf of the Authors (14 Jan 2020)  Author's response    Manuscript
ED: Publish as is (16 Jan 2020) by Ronald Cohen
Publications Copernicus
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Short summary
Emission data contain uncertainties introduced by the methodology and the data used. We quantified uncertainties in gridded emissions using the uncertainty in underlying data, showing that disaggregation in space and time significantly increases the uncertainty. Understanding uncertainties helps to interpret atmospheric measurements and the gap with modelled concentrations. Moreover, our analyses help identify regions with large uncertainties, which require further scrutiny.
Emission data contain uncertainties introduced by the methodology and the data used. We...
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