Articles | Volume 18, issue 23
Atmos. Chem. Phys., 18, 17717–17733, 2018
https://doi.org/10.5194/acp-18-17717-2018
Atmos. Chem. Phys., 18, 17717–17733, 2018
https://doi.org/10.5194/acp-18-17717-2018

Research article 13 Dec 2018

Research article | 13 Dec 2018

Contributions to the explosive growth of PM2.5 mass due to aerosol–radiation feedback and decrease in turbulent diffusion during a red alert heavy haze in Beijing–Tianjin–Hebei, China

Hong Wang et al.

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Interactive discussion

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 H. Wang on behalf of the Authors (16 Oct 2018)  Author's response
ED: Referee Nomination & Report Request started (29 Oct 2018) by Veli-Matti Kerminen
RR by Anonymous Referee #2 (08 Nov 2018)
ED: Reconsider after major revisions (09 Nov 2018) by Veli-Matti Kerminen
AR by H. Wang on behalf of the Authors (26 Nov 2018)  Author's response    Manuscript
ED: Publish subject to technical corrections (27 Nov 2018) by Veli-Matti Kerminen
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Short summary
The explosive growth (EG) of PM2.5 resulted in a PM2.5 maximum, which was generally underestimated by atmospheric chemical models due to the deficient description of the local turbulence intermittent. The aerosol–radiation feedback (AF) and decrease in turbulence diffusion (DTD) may reduce the underestimation of PM2.5 EG by 20–25% and 14–20%, respectively. The modeled EG stage PM2.5 error was decreased from −40 to −51% to −11 to 2% by the combined effects of AF and DTD in Jing–Jin–Ji.
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