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- W4311707930 abstract "A regional online chemical weather model WRF/ CUACE (China Meteorological Administration Unified Atmospheric Chemistry Environment) was used to assess the contributions of cloud chemistry to the SO2 and sulfate levels in typical regions in China. By comparing with several time series of in-situ cloud chemical observations on Mountain Tai in Shandong Province of China, the CUACE cloud chemistry scheme was found to well reproduce the cloud processing the consumptions of H2O2, O3 and SO2, and consequently was used in the regional assessment for a heavy pollution episode and monthly average in December 2016. During cloud availability in heavy pollution episode, the sulfate production increases 40–80 % and SO2 reduces over 80 %. During the heavy pollution episode, it is found that the cloud chemistry mainly affects the middle and lower troposphere below 5 km as well as within the boundary layer, and contributes significantly to SO2 reduction and sulfate increase in east-central China. Among the regions of North China Plain (NCP), Yangtze River Delta (YRD) and Sichuan Basin (SCB), the SCB is mostly affected by the cloud chemistry, with the average SO2 abatement up to about 1–15 ppb and sulfate increase up to more than 50 μg m-3, followed by YRD where the contribution of cloud chemistry is still significant, averaging up to 1–3 ppb for SO2 abatement and 5–20 μg/m3 for sulfate increase. The cloud chemistry contribution to PRD and NCP are not significant and weaker than other two regions due to lighter pollution and less water vapor, respectively. In addition, the average contribution of cloud chemistry during the pollution period was significantly greater than that for all December. This study provides a way to analyze the over-estimate phenomenon of SO2 in many chemical transport models." @default.
- W4311707930 created "2022-12-28" @default.
- W4311707930 date "2022-12-16" @default.
- W4311707930 modified "2023-10-01" @default.
- W4311707930 title "Comment on acp-2022-716" @default.
- W4311707930 doi "https://doi.org/10.5194/acp-2022-716-rc2" @default.
- W4311707930 hasPublicationYear "2022" @default.
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