A Numerical Study of Cloud Development Using Silver Iodide Cloud Seeding Module

Authors

  • Haoran Zhu Key Laboratory for Meteorological Disaster Monitoring and Early Warning and Risk Management of Characteristic Agriculture in Arid Regions, CMA, Yinchuan 750002, Ningxia, China; Ningxia Meteorological Disaster Prevention Technology Center, Yinchuan 750002, Ningxia, China
  • Yongwei Chu Guyuan Meteorological Bureau, Guyuan 756300, Ningxia, China
  • Hejue Zhao Institute of Atmospheric Physics, Beijing 100029, Beijing, China
  • Simin Ma Key Laboratory for Meteorological Disaster Monitoring and Early Warning and Risk Management of Characteristic Agriculture in Arid Regions, CMA, Yinchuan 750002, Ningxia, China; Ningxia Meteorological Disaster Prevention Technology Center, Yinchuan 750002, Ningxia, China
  • Longyan Li Key Laboratory for Meteorological Disaster Monitoring and Early Warning and Risk Management of Characteristic Agriculture in Arid Regions, CMA, Yinchuan 750002, Ningxia, China; Ningxia Meteorological Disaster Prevention Technology Center, Yinchuan 750002, Ningxia, China
  • Xueni Wang Key Laboratory for Meteorological Disaster Monitoring and Early Warning and Risk Management of Characteristic Agriculture in Arid Regions, CMA, Yinchuan 750002, Ningxia, China; Ningxia Meteorological Disaster Prevention Technology Center, Yinchuan 750002, Ningxia, China

DOI:

https://doi.org/10.53469/jrse.2025.07(11).08

Keywords:

NA

Abstract

Based on the IAP-LACS multiple-parameter cloud microphysical scheme which has been coupled into WRF model, Sensitivity tests are designed to study the influence of AgI doses on cloud seeding processes. By coupling the AgI cloud seeding module to the IAP-LACS scheme, the effects of AgI catalyst with different doses on ice crystal formation and precipitation are simulated. The results of ideal sensitivity tests show that, with the increase of the AgI dose, the overall cloud rain show a trend of increasing firstly and decreasing secondly, which corresponds to the fact that appropriate amount of catalyst enhances precipitation while excessive catalyst suppresses precipitation.

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Published

2025-11-28

How to Cite

Zhu, H., Chu, Y., Zhao, H., Ma, S., Li, L., & Wang, X. (2025). A Numerical Study of Cloud Development Using Silver Iodide Cloud Seeding Module. Journal of Research in Science and Engineering, 7(11), 36–40. https://doi.org/10.53469/jrse.2025.07(11).08

Issue

Vol. 7 No. 11 (2025)

Section

Articles

License

Copyright (c) 2025 Haoran Zhu, Yongwei Chu, Hejue Zhao, Simin Ma, Longyan Li, Xueni Wang

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


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