Articles | Volume 17, issue 22
Atmos. Chem. Phys., 17, 14145–14169, 2017
https://doi.org/10.5194/acp-17-14145-2017
Atmos. Chem. Phys., 17, 14145–14169, 2017
https://doi.org/10.5194/acp-17-14145-2017
Research article
28 Nov 2017
Research article | 28 Nov 2017

Spatiotemporal patterns of the fossil-fuel CO2 signal in central Europe: results from a high-resolution atmospheric transport model

Yu Liu et al.

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Short summary
We analyze fossil fuel signals in atmospheric CO2 over Europe using a high-resolution atmospheric transport model and diurnal emission data. We find that fossil fuel CO2 accounts for more than half of the atmospheric CO2 variations, mainly at diurnal timescales. The covariance of diurnal emission and transport also leads to a substantial rectification effect. Thus, the consideration of diurnal emissions and high-resolution transport is paramount for accurately modeling the fossil fuel signal.
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