Articles | Volume 24, issue 4
https://doi.org/10.5194/acp-24-2239-2024
https://doi.org/10.5194/acp-24-2239-2024
Research article
 | 
22 Feb 2024
Research article |  | 22 Feb 2024

Evaluation of WRF-Chem-simulated meteorology and aerosols over northern India during the severe pollution episode of 2016

Prerita Agarwal, David S. Stevenson, and Mathew R. Heal

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-1150', Anonymous Referee #1, 29 Sep 2023
  • RC2: 'Comment on egusphere-2023-1150', Anonymous Referee #2, 13 Oct 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Prerita Agarwal on behalf of the Authors (08 Dec 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (21 Dec 2023) by Manish Shrivastava
RR by Anonymous Referee #2 (05 Jan 2024)
ED: Publish as is (06 Jan 2024) by Manish Shrivastava
AR by Prerita Agarwal on behalf of the Authors (12 Jan 2024)
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Short summary
Air pollution levels across northern India are amongst some of the worst in the world, with episodic and hazardous haze events. Here, the ability of the WRF-Chem model to predict air quality over northern India is assessed against several datasets. Whilst surface wind speed and particle pollution peaks are over- and underestimated, respectively, meteorology and aerosol trends are adequately captured, and we conclude it is suitable for investigating severe particle pollution events. 
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