Articles | Volume 20, issue 15
Atmos. Chem. Phys., 20, 9311–9329, 2020
https://doi.org/10.5194/acp-20-9311-2020
Atmos. Chem. Phys., 20, 9311–9329, 2020
https://doi.org/10.5194/acp-20-9311-2020
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 et al.

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