Articles | Volume 20, issue 3
https://doi.org/10.5194/acp-20-1795-2020
https://doi.org/10.5194/acp-20-1795-2020
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, Stijn N. C. Dellaert, Antoon J. H. Visschedijk, and Hugo A. C. Denier van der Gon

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Cited articles

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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.
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