A new sulfate aerosol hygroscopicity parameter (kSO4 ) parameterization is suggested that is capable of considering the two major sulfate aerosols, H2SO4 and .NH4/2SO4, using the molar ratio of ammonium to sulfate (R). An alternative kSO4 parameterization method is also suggested that utilizes typical geographical distribution patterns of sulfate and ammonium, which can be used when ammonium data are not available for model calculation. Using the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem), the impacts of different kSO4 parameterizations on cloud microphysical properties and cloud radiative effects in East Asia are examined. Comparisons with the observational data obtained from an aircraft field campaign suggest that the new kSO4 parameterizations simulate more reliable aerosol and cloud condensation nuclei concentrations, especially over the sea in East Asia, than the original kSO4 parameterization in WRF-Chem that assumes sulfate aerosols as .NH4/2SO4 only. With the new kSO4 parameterizations, the simulated cloud microphysical properties and precipitation became significantly different, resulting in a greater cloud albedo effect of about 1:5Wm2 in East Asia than that with the original kSO4 parameterization. The new kSO4 parameterizations are simple and readily applicable to numerical studies investigating the impact of sulfate aerosols in aerosol cloud interactions without additional computational expense.
|Number of pages||15|
|Journal||Geoscientific Model Development|
|Publication status||Published - 2021 Jan 15|
Bibliographical noteFunding Information:
Financial support. This research has been supported by the Korea Meteorological Administration Research and Development Program (grant no. KMI2018-03511).
Acknowledgements. This work was funded by the Korea Meteorological Administration Research and Development Program (grant no. KMI2018-03511). Dong Yeong Chang acknowledges support from the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (grant no. NRF-2019R1I1A1A01063751).
© 2016 International Multidisciplinary Scientific Geoconference. All rights reserved.
All Science Journal Classification (ASJC) codes
- Modelling and Simulation
- Earth and Planetary Sciences(all)