Articles | Volume 19, issue 19
https://doi.org/10.5194/acp-19-12413-2019
https://doi.org/10.5194/acp-19-12413-2019
Research article
 | 
08 Oct 2019
Research article |  | 08 Oct 2019

Estimating ground-level CO concentrations across China based on the national monitoring network and MOPITT: potentially overlooked CO hotspots in the Tibetan Plateau

Dongren Liu, Baofeng Di, Yuzhou Luo, Xunfei Deng, Hanyue Zhang, Fumo Yang, Michael L. Grieneisen, and Yu Zhan

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 Yu Zhan on behalf of the Authors (31 Jul 2019)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (16 Aug 2019) by Alex B. Guenther
AR by Yu Zhan on behalf of the Authors (22 Aug 2019)  Author's response    Manuscript
ED: Publish as is (04 Sep 2019) by Alex B. Guenther
Download
Short summary
The spatiotemporal distributions of daily ground-level CO concentrations across China during 2013–2016 are derived by fusing the data from remote sensing and ground monitoring. The population–weighted CO was predicted to be 0.99 ± 0.30 mg m−3 and showed a decreasing trend of −0.021 ± 0.004 mg m−3 per year. The CO pollution was the most severe in the North China Plain. The hotspots in the Tibetan Plateau overlooked by the remote sensing were depicted by the data-fusion approach.
Altmetrics
Final-revised paper
Preprint