Articles | Volume 19, issue 16
https://doi.org/10.5194/amt-19-5525-2026
https://doi.org/10.5194/amt-19-5525-2026
Research article
 | 
27 Aug 2026
Research article |  | 27 Aug 2026

HailCam: an automated imaging system for real-time measurement of hail size distributions and fall rates

Baolei Lyu, Hui Wang, Tianlei Gao, Zhanfu Yin, Xiaofeng Lou, Yugang Duan, Yihang Huang, and Zhiqiang Zhao

Viewed

Total article views: 513 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
360 124 29 513 49 18 21
  • HTML: 360
  • PDF: 124
  • XML: 29
  • Total: 513
  • Supplement: 49
  • BibTeX: 18
  • EndNote: 21
Views and downloads (calculated since 10 Apr 2026)
Cumulative views and downloads (calculated since 10 Apr 2026)

Viewed (geographical distribution)

Total article views: 513 (including HTML, PDF, and XML) Thereof 494 with geography defined and 19 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 27 Aug 2026
Download
Short summary
Hailstorms cause significant damage, yet measuring hail accurately remains difficult because current sensors have small sampling area and often confuse hail with rain. To solve this, we developed HailCam, a smart camera system, that counts and measures hail size every minute. Tests of the system prove that it is highly accurate and better than existing tools at ignoring rain. This technology is crucial to improve forecasts, warn communities earlier, and help scientists better understand storms.
Share