The impact of multi-species surface chemical observation assimilation on air quality forecasts in China

Peng, Zhen; Lei, Lili; Liu, Zhiquan; Sun, Jianning; Ding, Aijun; Ban, Junmei; Chen, Dan; Kou, Xingxia; Chu, Kekuan

doi:https://doi.org/10.5194/acp-18-17387-2018

Articles | Volume 18, issue 23

https://doi.org/10.5194/acp-18-17387-2018

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

Special issue:

Regional transport and transformation of air pollution in...

https://doi.org/10.5194/acp-18-17387-2018

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

Articles | Volume 18, issue 23

Research article

|

07 Dec 2018

Research article |

| 07 Dec 2018

The impact of multi-species surface chemical observation assimilation on air quality forecasts in China

Zhen Peng, Lili Lei, Zhiquan Liu, Jianning Sun, Aijun Ding, Junmei Ban, Dan Chen, Xingxia Kou, and Kekuan Chu

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Final revised paper (published on 07 Dec 2018)
Preprint (discussion started on 30 Jul 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review on “The impact of multi-species surface chemical observations assimilation on the air quality forecasts in China”', Anonymous Referee #1, 04 Sep 2018
- AC1: 'Response to Reviewer #1’s comments:', Zhen Peng, 31 Oct 2018
RC2: 'review of acp-2018-768', Anonymous Referee #2, 04 Sep 2018
- AC2: 'Response to Reviewer #2’s comments:', Zhen Peng, 31 Oct 2018

Peer-review completion

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

AR by Zhen Peng on behalf of the Authors (31 Oct 2018) Author's response

ED: Publish as is (10 Nov 2018) by Yuan Wang

Short summary

An EnKF system was developed to simultaneously assimilate multiple surface measurements, including PM₁₀, PM_2.5, SO₂, NO₂, O₃, and CO, via the joint adjustment of ICs and source emissions. Large improvements were achieved in the first 24 h forecast for PM_2.5, PM₁₀, SO₂, and CO during an extreme haze episode that occurred in early October 2014 over the North China Plain, but no improvements were achieved for NO₂ and O₃.