Articles | Volume 15, issue 15
https://doi.org/10.5194/gmd-15-6143-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-6143-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
04 Aug 2022
Model evaluation paper |
| 04 Aug 2022
| 04 Aug 2022
Simulations of aerosol pH in China using WRF-Chem (v4.0): sensitivities of aerosol pH and its temporal variations during haze episodes
Xueyin Ruan
School of Earth and Space Sciences, University of Science and
Technology of China, Hefei 230026, Anhui, China
Chun Zhao
CORRESPONDING AUTHOR
School of Earth and Space Sciences, University of Science and
Technology of China, Hefei 230026, Anhui, China
CAS Center for Excellence in Comparative Planetology, University of
Science and Technology of China, Hefei 230026, Anhui, China
Frontiers Science Center for Planetary Exploration and Emerging
Technologies, University of Science and Technology of China, Hefei, China
Rahul A. Zaveri
Atmospheric Sciences and Global Change Division, Pacific Northwest
National Laboratory, Richland, WA 99352, USA
Pengzhen He
School of Environment and Tourism, West Anhui University, Lu'an
237012, Anhui, China
Xinming Wang
Guangzhou Institute of Geochemistry, Chinese Academy of Sciences,
Guangzhou 510640, Guangdong, China
Jingyuan Shao
Flight branch, Civil Aviation University of China, Tianjin 300300,
China
School of Earth and Space Sciences, University of Science and
Technology of China, Hefei 230026, Anhui, China
CAS Center for Excellence in Comparative Planetology, University of
Science and Technology of China, Hefei 230026, Anhui, China
Frontiers Science Center for Planetary Exploration and Emerging
Technologies, University of Science and Technology of China, Hefei, China
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12 citations as recorded by crossref.
- Evaluating parameterization schemes of dinitrogen pentoxide heterogeneous processes in the presence of organic coatings for size-resolved nitrate simulations over North China Y. Qu et al. 10.1016/j.atmosenv.2025.121335
- Hydroxymethanesulfonate (HMS) formation in urban and marine atmospheres: role of aerosol ionic strength R. Xu et al. 10.5194/acp-25-12721-2025
- Secondary inorganic aerosols and aerosol acidity at different PM2.5 pollution levels during winter haze episodes in the Sichuan Basin, China X. Fu et al. 10.1016/j.scitotenv.2024.170512
- Transboundary transport of non-east and East Asian dust observed at Dunhuang, northwest China T. Zhou et al. 10.1016/j.atmosenv.2023.120197
- Quantifying surface tension of metastable aerosols via electrodeformation V. Shahabadi et al. 10.1038/s41467-024-54106-3
- Multiphase Buffering: A Mechanistic Regulator of Aerosol Sulfate Formation and Its Dominant Pathways J. Gao et al. 10.1021/acs.est.4c13744
- An Integrated Sensor Array for Water Quality Monitoring H. Abolfathi et al. 10.1049/smt2.70013
- Linked Response of Aerosol Water Content and Acidity to Future Anthropogenic Emission Control over the North China Plain H. Wang et al. 10.1021/acs.est.5c08438
- Trends and drivers of soluble iron deposition from East Asian dust to the Northwest Pacific: a springtime analysis (2001–2017) H. Zhu et al. 10.5194/acp-25-5175-2025
- Role of atmospheric aerosols in severe winter fog over the Indo-Gangetic Plain of India: a case study C. Bharali et al. 10.5194/acp-24-6635-2024
- Significant Impact of a Daytime Halogen Oxidant on Coastal Air Quality J. Dai et al. 10.1021/acs.est.4c08360
- Toward a learnable Artificial Intelligence Model for Aerosol Chemistry and Interactions (AIMACI) based on the Multi-Head Self-Attention algorithm Z. Xia et al. 10.5194/acp-25-6197-2025
Latest update: 28 Oct 2025
Short summary
Accurate prediction of aerosol pH in chemical transport models is essential to aerosol modeling. This study examines the performance of the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) on aerosol pH predictions and the sensitivities to emissions of nonvolatile cations and NH3, aerosol-phase state assumption, and heterogeneous sulfate production. Temporal evolution of aerosol pH during haze cycles in Beijing and the driving factors are also presented and discussed.
Accurate prediction of aerosol pH in chemical transport models is essential to aerosol modeling....
