Articles | Volume 15, issue 9
https://doi.org/10.5194/gmd-15-3555-2022
https://doi.org/10.5194/gmd-15-3555-2022
Development and technical paper
 | 
05 May 2022
Development and technical paper |  | 05 May 2022

An aerosol vertical data assimilation system (NAQPMS-PDAF v1.0): development and application

Haibo Wang, Ting Yang, Zifa Wang, Jianjun Li, Wenxuan Chai, Guigang Tang, Lei Kong, and Xueshun Chen

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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 gmd-2021-374', Anonymous Referee #1, 24 Feb 2022
  • RC2: 'Comment on gmd-2021-374', Anonymous Referee #2, 25 Feb 2022
  • EC1: 'Comment on gmd-2021-374', Xiaomeng Huang, 08 Mar 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Ting Yang on behalf of the Authors (06 Mar 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (08 Mar 2022) by Xiaomeng Huang
AR by Ting Yang on behalf of the Authors (11 Mar 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (12 Mar 2022) by Xiaomeng Huang
AR by Ting Yang on behalf of the Authors (12 Mar 2022)
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Short summary
In this paper, we develop an online data coupled assimilation system (NAQPMS-PDAF) with the Eulerian atmospheric chemistry-transport model. NAQPMS-PDAF allows efficient use of large computational resources. The application and performance of the system are investigated by assimilating 1 month of vertical aerosol observations. The results show that NAQPMS-PDAF can significantly improve the performance of aerosol vertical structure simulation and reduce the uncertainty to a large extent.