Articles | Volume 15, issue 15
Geosci. Model Dev., 15, 6143–6164, 2022
https://doi.org/10.5194/gmd-15-6143-2022
Geosci. Model Dev., 15, 6143–6164, 2022
https://doi.org/10.5194/gmd-15-6143-2022
Model evaluation paper
04 Aug 2022
Model evaluation paper | 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 et al.

Data sets

ERA-Interim Project European Centre for Medium-Range Weather Forecasts https://doi.org/10.5065/D6CR5RD9

ERA5 Reanalysis (Monthly Mean 0.25 Degree Latitude-Longitude Grid) European Centre for Medium-Range Weather Forecasts https://doi.org/10.5065/BH6N-5N20

Model code and software

xyruan/wrfchem_ustc4.0: wrfchem_ustc 4.0 including heterogeneous sulfate production in aerosol water and modified cation speciation profiles Xueyin Ruan, Chun Zhao, Rahul A. Zaveri, Pengzhen He, Xinming Wang, Jingyuan Shao, and Lei Geng https://doi.org/10.5281/zenodo.6359417

WRF Source Codes and Graphics Software Downloads WRF Users Page http://www2.mmm.ucar.edu/wrf/users/download/get_source.html

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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.