Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1)

Ma, Siqi; Zhang, Xuelei; Gao, Chao; Tong, Daniel Q.; Xiu, Aijun; Wu, Guangjian; Cao, Xinyuan; Huang, Ling; Zhao, Hongmei; Zhang, Shichun; Ibarra-Espinosa, Sergio; Wang, Xin; Li, Xiaolan; Dan, Mo

doi:https://doi.org/10.5194/gmd-12-4603-2019

Articles | Volume 12, issue 11

https://doi.org/10.5194/gmd-12-4603-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-12-4603-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 11

Model evaluation paper

|

06 Nov 2019

Model evaluation paper |

| 06 Nov 2019

Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1)

Siqi Ma, Xuelei Zhang, Chao Gao, Daniel Q. Tong, Aijun Xiu, Guangjian Wu, Xinyuan Cao, Ling Huang, Hongmei Zhao, Shichun Zhang, Sergio Ibarra-Espinosa, Xin Wang, Xiaolan Li, and Mo Dan

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Final revised paper (published on 06 Nov 2019)
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Preprint (discussion started on 15 Apr 2019)
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Interactive discussion

Status: closed

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

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SC1: 'WRF-Chem version (4.1 and above)', Alexander Ukhov, 27 Apr 2019
- RC2: 'WRF-Chem version', Anonymous Referee #1, 10 Jun 2019
  - AC6: 'Response to RC2', Zhang xuelei, 25 Aug 2019
- AC1: 'Response to SC1', Zhang xuelei, 25 Aug 2019
SC2: 'UoC bug fix', Theodore Letcher, 07 May 2019
- AC2: 'Response to SC2', Zhang xuelei, 25 Aug 2019
SC3: 'Executive editor comment, code and data availability.', David Ham, 24 May 2019
- AC3: 'Response to SC3', Zhang xuelei, 25 Aug 2019
RC1: 'Review', Anonymous Referee #1, 10 Jun 2019
- AC4: 'Response to RC1', Zhang xuelei, 25 Aug 2019
RC3: 'Review', Anonymous Referee #2, 29 Jul 2019
- AC5: 'Response to RC3', Zhang xuelei, 25 Aug 2019

Peer-review completion

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

AR by Zhang xuelei on behalf of the Authors (25 Aug 2019) Author's response Manuscript

ED: Publish as is (11 Sep 2019) by Samuel Remy

AR by Zhang xuelei on behalf of the Authors (18 Sep 2019) Manuscript

Short summary

Dust storms are thought to be a worldwide societal issue, and numerical modeling is an effective way to help us to predict dust events. Here we present the first comprehensive evaluation of dust emission modules in four commonly used air quality models for northeastern China. The results showed that most of these models were able to capture this dust event and indicated the dust source maps should be carefully selected or replaced with a new one that is constructed with local data.