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.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anna Wenzel on behalf of the Authors (08 Aug 2017)  Author's response
ED: Referee Nomination & Report Request started (28 Aug 2017) by Rolf Müller
RR by Anonymous Referee #1 (07 Sep 2017)
RR by Anonymous Referee #2 (17 Sep 2017)
ED: Reconsider after minor revisions (Editor review) (19 Sep 2017) by Rolf Müller
AR by Anna Wenzel on behalf of the Authors (04 Oct 2017)  Author's response
ED: Publish as is (16 Oct 2017) by Rolf Müller
Download
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.
Altmetrics
Final-revised paper
Preprint