Articles | Volume 20, issue 15
https://doi.org/10.5194/acp-20-9311-2020
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, Zhiquan Liu, Dan Chen, Pusheng Zhao, and Min Chen

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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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