Development and application of the WRFDA-Chem three-dimensional variational (3DVAR) system: aiming to improve air quality forecasting and diagnose model deficiencies

Sun, Wei; Liu, Zhiquan; Chen, Dan; Zhao, Pusheng; Chen, Min

doi:https://doi.org/10.5194/acp-20-9311-2020

Articles | Volume 20, issue 15

https://doi.org/10.5194/acp-20-9311-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-20-9311-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 15

Research article

|

07 Aug 2020

Research article |

| 07 Aug 2020

Development and application of the WRFDA-Chem three-dimensional variational (3DVAR) system: aiming to improve air quality forecasting and diagnose model deficiencies

Wei Sun, Zhiquan Liu, Dan Chen, Pusheng Zhao, and Min Chen

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Final revised paper (published on 07 Aug 2020)
Supplement to the final revised paper
Preprint (discussion started on 23 Jan 2020)
Supplement to the preprint

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of ACP-2019-969', Anonymous Referee #1, 23 Mar 2020
- AC1: 'Response to RC1', Wei Sun, 12 May 2020
RC2: 'Review of Sun et al. “Development and application of the WRFDA-Chem 3DVAR system: aiming to improve air quality forecast and diagnose model deficiencies”', Anonymous Referee #2, 05 Apr 2020
- AC2: 'Response to RC2', Wei Sun, 12 May 2020

Peer-review completion

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

AR by Wei Sun on behalf of the Authors (31 May 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (09 Jun 2020) by Chul Han Song

RR by Anonymous Referee #1 (20 Jun 2020)

RR by Anonymous Referee #2 (26 Jun 2020)

ED: Publish as is (29 Jun 2020) by Chul Han Song

AR by Wei Sun on behalf of the Authors (01 Jul 2020)

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Short summary

A new aerosol and gas pollutant assimilation capability is developed within the WRFDA system with the 3D variational algorithm and MOSAIC (Model for Simulating Aerosol Interactions and Chemistry) aerosol scheme. By assimilating surface PM2.5, PM10, SO2, NO2, O3, and CO, it improves 24 h air quality forecasting. Based on this system, model deficiencies are explored. Parameterization in the newly added inorganic aerosol heterogeneous reactions should be adjusted and verified by data assimilation.