Self-organized classification of boundary layer meteorology and associated characteristics of air quality in Beijing

Liao, Zhiheng; Sun, Jiaren; Yao, Jialin; Liu, Li; Li, Haowen; Liu, Jian; Xie, Jielan; Wu, Dui; Fan, Shaojia

doi:https://doi.org/10.5194/acp-18-6771-2018

Articles | Volume 18, issue 9

https://doi.org/10.5194/acp-18-6771-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-18-6771-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 9

Research article

|

15 May 2018

Research article |

| 15 May 2018

Self-organized classification of boundary layer meteorology and associated characteristics of air quality in Beijing

Zhiheng Liao, Jiaren Sun, Jialin Yao, Li Liu, Haowen Li, Jian Liu, Jielan Xie, Dui Wu, and Shaojia Fan

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Final revised paper (published on 15 May 2018)
Preprint (discussion started on 13 Dec 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'comments', Anonymous Referee #2, 31 Jan 2018
- AC1: 'Response to Reviewers and the revised paper', Zhiheng Liao, 21 Mar 2018
RC2: 'Comment', Anonymous Referee #1, 07 Feb 2018
- AC2: 'Response to Reviewers and the revide paper', Zhiheng Liao, 21 Mar 2018

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Zhiheng Liao on behalf of the Authors (17 Apr 2018) Author's response Manuscript

ED: Publish as is (21 Apr 2018) by Heini Wernli

AR by Zhiheng Liao on behalf of the Authors (23 Apr 2018)

Short summary

This paper investigates the modulation effect of ABL meteorology on Beijing’s surface air quality based on self-organizing maps. The self-organized ABL types correspond to significantly distinct pollutant loadings and diurnal evolution, particularly in winter. Anomalous stable ABL conditions are estimated to contribute 58.3 %, 46.4 % and 73.3 % of the elevated PM2.5 concentrations in January 2013, December 2015 and December 2016.