Preprints
https://doi.org/10.5194/gmd-2023-21
https://doi.org/10.5194/gmd-2023-21
Submitted as: model evaluation paper
 | 
27 Mar 2023
Submitted as: model evaluation paper |  | 27 Mar 2023
Status: a revised version of this preprint was accepted for the journal GMD and is expected to appear here in due course.

Inter-comparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1) in eastern China

Chao Gao, Xuelei Zhang, Aijun Xiu, Qingqing Tong, Hongmei Zhao, Shichun Zhang, Guangyi Yang, Mengduo Zhang, and Shengjin Xie

Abstract. In the eastern China region, two-way coupled meteorology and air quality models have been applied aiming to more realistically simulate meteorology and air quality by accounting for the aerosol‒radiation‒cloud interactions. There have been numerous related studies being conducted, but the performances of multiple two-way coupled models simulating meteorology and air quality under equivalent configurations have not been compared in this region. In this study, we systematically evaluated annual and seasonal meteorological and air quality variables simulated by three open-source and widely used two-way coupled models (i.e., WRF-CMAQ, WRF-Chem, and WRF-CHIMERE) by validating the model results with surface and satellite observations for eastern China during 2017. Our comprehensive model evaluations showed that all three two-way coupled models simulated the annual spatiotemporal distributions of meteorological and air quality variables reasonably well, especially the surface temperature (with R up to 0.97) and fine particular matter (PM2.5) concentrations (with R up to 0.68). The model results of winter PM2.5 and summer ozone compared better with observations and WRF-CMAQ exhibited the best overall performance. The aerosol feedbacks affected model results of meteorology and air quality in various ways and turning on aerosol-radiation interactions made the PM2.5 and surface shortwave radiation simulations better, but worse for T2 and Q2. The impacts of aerosol-cloud interactions (ACI) on model performances’ improvements were limited and several possible improvements on ACI representations in two-way coupled models are further discussed and proposed. When sufficient computational resources become available, two-way coupled models including the aerosol-radiation-cloud interactions should be applied for more accurate air quality prediction and timely warning of air pollution events in atmospheric environmental management.

Chao Gao, Xuelei Zhang, Aijun Xiu, Qingqing Tong, Hongmei Zhao, Shichun Zhang, Guangyi Yang, Mengduo Zhang, and Shengjin Xie

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2023-21', Anonymous Referee #1, 26 Apr 2023
    • AC2: 'Reply on RC1', Chao Gao, 11 Jul 2023
  • CEC1: 'Comment on gmd-2023-21', Juan Antonio Añel, 05 May 2023
    • AC1: 'Reply on CEC1', Chao Gao, 23 May 2023
  • RC2: 'Comment on gmd-2023-21', Anonymous Referee #2, 05 May 2023
    • AC3: 'Reply on RC2', Chao Gao, 11 Jul 2023

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2023-21', Anonymous Referee #1, 26 Apr 2023
    • AC2: 'Reply on RC1', Chao Gao, 11 Jul 2023
  • CEC1: 'Comment on gmd-2023-21', Juan Antonio Añel, 05 May 2023
    • AC1: 'Reply on CEC1', Chao Gao, 23 May 2023
  • RC2: 'Comment on gmd-2023-21', Anonymous Referee #2, 05 May 2023
    • AC3: 'Reply on RC2', Chao Gao, 11 Jul 2023
Chao Gao, Xuelei Zhang, Aijun Xiu, Qingqing Tong, Hongmei Zhao, Shichun Zhang, Guangyi Yang, Mengduo Zhang, and Shengjin Xie
Chao Gao, Xuelei Zhang, Aijun Xiu, Qingqing Tong, Hongmei Zhao, Shichun Zhang, Guangyi Yang, Mengduo Zhang, and Shengjin Xie

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Short summary
A comprehensive comparison study is conducted targeting the performances of three two-way coupled meteorology and air quality models (i.e., WRF-CMAQ, WRF-Chem and WRF-CHIMERE) in eastern China during 2017. The impacts of aerosol-radiation-cloud interactions on these models’ results are evaluated against satellite and surface observations. Further improvements in the calculation of aerosol-cloud interactions in these models are crucial to ensure more accurate and timely air quality forecast.