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ACP | Articles | Volume 19, issue 1
Atmos. Chem. Phys., 19, 565–576, 2019
https://doi.org/10.5194/acp-19-565-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Regional transport and transformation of air pollution in...

Atmos. Chem. Phys., 19, 565–576, 2019
https://doi.org/10.5194/acp-19-565-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 15 Jan 2019

Research article | 15 Jan 2019

Seesaw haze pollution in North China modulated by the sub-seasonal variability of atmospheric circulation

Ge Zhang et al.

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Status: closed
Status: closed
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 Yang Gao on behalf of the Authors (05 Dec 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (06 Dec 2018) by Yuan Wang
RR by Anonymous Referee #2 (12 Dec 2018)
RR by Anonymous Referee #1 (27 Dec 2018)
ED: Publish subject to technical corrections (28 Dec 2018) by Yuan Wang
AR by Yang Gao on behalf of the Authors (28 Dec 2018)  Author's response    Manuscript
Publications Copernicus
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Short summary
Based on observed data, this study reveals a distinct seesaw feature of abnormally high and low PM2.5 concentrations in December 2015 and January 2016 over North China. The mechanism of the seesaw pattern was found to be linked to a super El Niño and the Arctic Oscillation (AO). During the mature phase of El Niño in December 2015, the weakened East Asian winter monsoon favors strong haze formation; however, the circulation pattern was reversed in the next month due to the phase change of the AO.
Based on observed data, this study reveals a distinct seesaw feature of abnormally high and low...
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