Articles | Volume 23, issue 21
https://doi.org/10.5194/acp-23-13957-2023
© Author(s) 2023. 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-23-13957-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Analysis of insoluble particles in hailstones in China
Haifan Zhang
Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China
Xiangyu Lin
Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China
Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China
Kai Bi
CORRESPONDING AUTHOR
Field Experiment Base of Cloud and Precipitation Research in North China, China Meteorological Administration, Beijing 101200, China
Chan-Pang Ng
Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China
Yangze Ren
Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China
Huiwen Xue
Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China
Li Chen
Electron Microscopy Laboratory, Peking University, Beijing 100871, China
Zhuolin Chang
Key Laboratory for Meteorological Disaster Monitoring and Early Warning and Risk Management of Characteristic Agriculture in Arid Regions, China Meteorological Administration, Yinchuan 750002, China
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Short summary
This work is the first study to simultaneously analyze the number concentrations and species of insoluble particles in hailstones. The size distribution of insoluble particles for each species vary greatly in different hailstorms but little in shells. Two classic size distribution modes of organics and dust were fitted for the description of insoluble particles in deep convection. Combining this study with future experiments will lead to refinement of weather and climate models.
This work is the first study to simultaneously analyze the number concentrations and species of...
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