Preprints
https://doi.org/10.5194/egusphere-2025-611
https://doi.org/10.5194/egusphere-2025-611
28 Apr 2025
 | 28 Apr 2025
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

The role of dust mineral composition in atmospheric radiation and pollution in North China: new insights from EMIT and two-way coupled modeling

Chao Gao, Xuelei Zhang, Hu Yang, Ling Huang, Hongmei Zhao, Shichun Zhang, and Aijun Xiu

Abstract. Mineral dust is a major atmospheric aerosol influencing Earth’s energy balance through aerosol-radiation (ARI) and aerosol-cloud interactions (ACI). While homogeneous dust effects have been studied, the impact of mineralogical composition on regional meteorology and air quality remains underexplored, limiting accurate forecasting of dust storm impacts, especially in dust belt regions. In this study, we used a two-way coupled WRF-CHIMERE model with three mineralogical dust atlases (Nickovic et al. (2012) (N2012), Journet et al. (2014) (J2014), and a new dataset, Li et al. (2024) (L2024), from the Earth Surface Mineral Dust Source Investigation (EMIT)) to evaluate ARI effects during the March 2021 dust storm in North China. Results showed significant spatial variations in radiative forcing due to mineralogical differences. Bulk dust (without considering mineralogy) caused an average shortwave radiative forcing of −5.72 W/m², while mineral-specific forcings increased this by up to +0.10 W/m². Integrating EMIT data reduced PM10 biases by over 15 % in high-concentration regions and improved ozone predictions, with localized changes of −2.46 to +3.52 µg/m³. Hematite’s strong absorption and quartz’s reflective properties were key in altering radiative and air quality outcomes. Compared to scenarios of bulk dust, the consideration of ARI effects of mineralogical compositions can increase PM10 concentration by up to 1189.48 µg/m³ in dust source regions. Future research perspectives on the utilization of high-resolution EMIT data in two-way coupled meteorology and air quality models for investigating the ACI effects of mineralogical dust on cloud microphysics are proposed.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Share
Chao Gao, Xuelei Zhang, Hu Yang, Ling Huang, Hongmei Zhao, Shichun Zhang, and Aijun Xiu

Status: open (until 09 Jun 2025)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Chao Gao, Xuelei Zhang, Hu Yang, Ling Huang, Hongmei Zhao, Shichun Zhang, and Aijun Xiu
Chao Gao, Xuelei Zhang, Hu Yang, Ling Huang, Hongmei Zhao, Shichun Zhang, and Aijun Xiu

Viewed

Total article views: 186 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
174 11 1 186 1 3
  • HTML: 174
  • PDF: 11
  • XML: 1
  • Total: 186
  • BibTeX: 1
  • EndNote: 3
Views and downloads (calculated since 28 Apr 2025)
Cumulative views and downloads (calculated since 28 Apr 2025)

Viewed (geographical distribution)

Total article views: 179 (including HTML, PDF, and XML) Thereof 179 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 15 May 2025
Download
Short summary
Mineral dust impacts climate and air quality, varying by composition. This study examined its effects on radiation and pollution during a North China dust storm using WRF-CHIMERE and three dust atlases. Bulk dust had a shortwave radiative forcing of -5.72 W/m², while mineral-specific effects increased it by +0.10 W/m². Aerosol-radiation interactions raised PM₁₀ to 1189.48 μg/m³. Accurate mineral data is essential for improving dust-related climate and air quality simulations.
Share