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- Title
Analysis of insoluble particles in hailstones in China.
- Authors
Zhang, Haifan; Lin, Xiangyu; Zhang, Qinghong; Bi, Kai; Ng, Chan-Pang; Ren, Yangze; Xue, Huiwen; Chen, Li; Chang, Zhuolin
- Abstract
Insoluble particles influence weather and climate by means of heterogeneous freezing process. Current weather and climate models face considerable uncertainties in freezing-process simulation due to limited information regarding species and number concentrations of heterogeneous ice-nucleating particles, particularly insoluble particles. Here, for the first time, the size distribution and species of insoluble particles are analyzed in 30 shells of 12 hailstones collected from China using scanning electron microscopy and energy-dispersive X-ray spectrometry. A total of 289 461 insoluble particles were detected and divided into three species – organics, dust, and bioprotein – utilizing machine learning methods. The size distribution of the insoluble particles of each species varies greatly among the different hailstones but little in their shells. Further, a classic size distribution of organics and dust followed logarithmic normal distributions, which could potentially be adapted in future weather and climate models despite the existence of uncertainties. Our findings highlight the need for atmospheric chemistry to be considered in the simulation of ice-freezing processes.
- Subjects
CHINA; ICE nuclei; LOGNORMAL distribution; PARTICLE analysis; ATMOSPHERIC chemistry; ATMOSPHERIC models; NUMBERS of species
- Publication
Atmospheric Chemistry & Physics, 2023, Vol 23, Issue 21, p13957
- ISSN
1680-7316
- Publication type
Article
- DOI
10.5194/acp-23-13957-2023