Three dominant synoptic atmospheric circulation patterns influencing severe winter haze in eastern China

Zhang, Shiyue; Zeng, Gang; Wang, Tijian; Yang, Xiaoye; Iyakaremye, Vedaste

doi:https://doi.org/10.5194/acp-22-16017-2022

Articles | Volume 22, issue 24

https://doi.org/10.5194/acp-22-16017-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-22-16017-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 24

Research article

|

21 Dec 2022

Research article |

| 21 Dec 2022

Three dominant synoptic atmospheric circulation patterns influencing severe winter haze in eastern China

Shiyue Zhang, Gang Zeng, Tijian Wang, Xiaoye Yang, and Vedaste Iyakaremye

Download

Final revised paper (published on 21 Dec 2022)
Supplement to the final revised paper
Preprint (discussion started on 19 Sep 2022)
Supplement to the preprint

Interactive discussion

Status: closed

RC1:
'Comment on acp-2022-466', Anonymous Referee #1, 27 Sep 2022
The physical mechanism of severe winter haze in eastern China has been revealed in this work. Three dominant atmospheric circulation patterns effecting the haze occurrence have been clustered. The paper is generally well written and recommended for publication after addressing the following specific comments.

Air pollution mainly occurred in the atmospheric boundary layer, which is usually under 2km above the surface. While, the 500hPa geopotential height anomalies are used for circulation clustering. Could you please give more details about the reason for selecting the 500hPa data?

The samples used in the clustering are not in a fixed region, which is a rectangular box moving with the specific observation station. This clustering method is different from the usual treatment. What is the advantage of this method?

I would like to suggest to change a colormap for Fig. 3(a), in which the Type1 and Type 2 is hard to distinguish based on the current color.
Citation: https://doi.org/10.5194/acp-2022-466-RC1
- AC1: 'Reply on RC1', Gang Zeng, 01 Oct 2022
  
  Our response to the comments are contained in the attached supplement.
  
  Citation: https://doi.org/10.5194/acp-2022-466-AC1
RC2:
'Comment on acp-2022-466', Anonymous Referee #2, 05 Oct 2022

Please see the cooments in the supplement.

Citation: https://doi.org/10.5194/acp-2022-466-RC2
- AC2: 'Reply on RC2', Gang Zeng, 25 Oct 2022
  
  Our response to the comments are contained in the attached supplement.
  
  Citation: https://doi.org/10.5194/acp-2022-466-AC2

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload

AR by Gang Zeng on behalf of the Authors (02 Nov 2022) Author's response Author's tracked changes Manuscript

ED: Publish as is (14 Nov 2022) by Xavier Querol

AR by Gang Zeng on behalf of the Authors (15 Nov 2022)

Post-review adjustments

AA: Author's adjustment | EA: Editor approval

AA by Gang Zeng on behalf of the Authors (13 Dec 2022) Author's adjustment Manuscript

EA: Adjustments approved (16 Dec 2022) by Xavier Querol

Download

Article (13494 KB)
Full-text XML

Short summary

Severe haze days in eastern China (HD_EC) are affected by the atmospheric circulation variations on a synoptic scale, while the dominant atmospheric circulation patterns influencing HD_EC and the differences between them are still unclear. This study obtains three dominant circulation types that could lead to severe HD_EC and investigates the differences between them. The results provide a basis for establishing applicable haze prediction and management policies.