Articles | Volume 21, issue 18
https://doi.org/10.5194/acp-21-14141-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-14141-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Sep 2021
Research article |
| 24 Sep 2021
| 24 Sep 2021
Aerosol effects on electrification and lightning discharges in a multicell thunderstorm simulated by the WRF-ELEC model
Mengyu Sun
Key Laboratory of Middle Atmosphere and Global Environment
Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing, China
College of Earth and Planetary Sciences, University of the Chinese
Academy of Sciences, Beijing, China
Dongxia Liu
CORRESPONDING AUTHOR
Key Laboratory of Middle Atmosphere and Global Environment
Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing, China
Xiushu Qie
CORRESPONDING AUTHOR
Key Laboratory of Middle Atmosphere and Global Environment
Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing, China
College of Earth and Planetary Sciences, University of the Chinese
Academy of Sciences, Beijing, China
Edward R. Mansell
NOAA National Severe Storms Laboratory, Norman, Oklahoma, USA
Yoav Yair
School of Sustainability, Interdisciplinary Center (IDC) Herzliya,
Herzliya, Israel
Alexandre O. Fierro
NOAA National Severe Storms Laboratory, Norman, Oklahoma, USA
Cooperative Institute for Mesoscale Meteorological Studies,
University of Oklahoma, Norman, Oklahoma, USA
Department of Forecasting Models, Zentralanstalt für Meteorologie und Geodynamik (ZAMG), Vienna, Austria
Shanfeng Yuan
Key Laboratory of Middle Atmosphere and Global Environment
Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing, China
Zhixiong Chen
Key Laboratory of Middle Atmosphere and Global Environment
Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing, China
College of Earth and Planetary Sciences, University of the Chinese
Academy of Sciences, Beijing, China
Dongfang Wang
Key Laboratory of Middle Atmosphere and Global Environment
Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing, China
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Cited
13 citations as recorded by crossref.
- Prediction of lightning activity over Bangladesh using diagnostic and explicit lightning parameterizations of WRF model M. Paramanik et al. 10.1007/s11069-023-06355-6
- Using Polarimetric Radar Observations to Characterize First Echoes of Thunderstorms and Nonthunderstorms: A Comparative Study C. Zhao et al. 10.1029/2022JD036671
- Aerosol Impacts on Storm Electrification and Lightning Discharges Under Different Thermodynamic Environments M. Sun et al. 10.1029/2022JD037450
- The Impact of High-Resolution SRTM Topography and Corine Land Cover on Lightning Calculations in WRF A. de Meij et al. 10.3390/atmos13071050
- Thundercloud structures detected and analyzed based on coherent Doppler wind lidar K. Wu et al. 10.5194/amt-16-5811-2023
- The electrical activity of a thunderstorm under high dust circumstances over Beijing metropolis region C. Sun et al. 10.1016/j.atmosres.2023.106628
- A Review of Atmospheric Electricity Research in China from 2019 to 2022 W. Lyu et al. 10.1007/s00376-023-2280-x
- Significant increase in graupel and lightning occurrence in a warmer climate simulated by prognostic graupel parameterization T. Michibata 10.1038/s41598-024-54544-5
- Machine-learning-based investigation of the variables affecting summertime lightning occurrence over the Southern Great Plains S. Shan et al. 10.5194/acp-23-14547-2023
- Trends and Features of Thunderstorms and Lightning Activity in the Upper Volga Region S. Dementyeva et al. 10.3390/atmos14040674
- Understanding the Effects of Aerosols on Electrification and Lightning Polarity in an Idealized Supercell Thunderstorm via Model Emulation M. Sun et al. 10.1029/2023JD039251
- Lightning nowcasting with aerosol-informed machine learning and satellite-enriched dataset G. Song et al. 10.1038/s41612-023-00451-x
- Estimation of Lightning Activity of Squall Lines by Different Lightning Parameterization Schemes in the Weather Research and Forecasting Model D. Liu et al. 10.3390/rs15205070
13 citations as recorded by crossref.
- Prediction of lightning activity over Bangladesh using diagnostic and explicit lightning parameterizations of WRF model M. Paramanik et al. 10.1007/s11069-023-06355-6
- Using Polarimetric Radar Observations to Characterize First Echoes of Thunderstorms and Nonthunderstorms: A Comparative Study C. Zhao et al. 10.1029/2022JD036671
- Aerosol Impacts on Storm Electrification and Lightning Discharges Under Different Thermodynamic Environments M. Sun et al. 10.1029/2022JD037450
- The Impact of High-Resolution SRTM Topography and Corine Land Cover on Lightning Calculations in WRF A. de Meij et al. 10.3390/atmos13071050
- Thundercloud structures detected and analyzed based on coherent Doppler wind lidar K. Wu et al. 10.5194/amt-16-5811-2023
- The electrical activity of a thunderstorm under high dust circumstances over Beijing metropolis region C. Sun et al. 10.1016/j.atmosres.2023.106628
- A Review of Atmospheric Electricity Research in China from 2019 to 2022 W. Lyu et al. 10.1007/s00376-023-2280-x
- Significant increase in graupel and lightning occurrence in a warmer climate simulated by prognostic graupel parameterization T. Michibata 10.1038/s41598-024-54544-5
- Machine-learning-based investigation of the variables affecting summertime lightning occurrence over the Southern Great Plains S. Shan et al. 10.5194/acp-23-14547-2023
- Trends and Features of Thunderstorms and Lightning Activity in the Upper Volga Region S. Dementyeva et al. 10.3390/atmos14040674
- Understanding the Effects of Aerosols on Electrification and Lightning Polarity in an Idealized Supercell Thunderstorm via Model Emulation M. Sun et al. 10.1029/2023JD039251
- Lightning nowcasting with aerosol-informed machine learning and satellite-enriched dataset G. Song et al. 10.1038/s41612-023-00451-x
- Estimation of Lightning Activity of Squall Lines by Different Lightning Parameterization Schemes in the Weather Research and Forecasting Model D. Liu et al. 10.3390/rs15205070
Latest update: 17 Apr 2024
Short summary
By acting as cloud condensation nuclei (CCN), increasing aerosol loading tends to enhance lightning activity through microphysical processes. We investigated the aerosol effects on the development of a thunderstorm. A two-moment bulk microphysics scheme and bulk lightning model were coupled in the WRF Model to simulate a multicell thunderstorm. Sensitivity experiments show that the enhancement of lightning activity under polluted conditions results from an increasing ice crystal number.
By acting as cloud condensation nuclei (CCN), increasing aerosol loading tends to enhance...
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