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A Modeling Method of Cloud Seeding for Rain Enhancement

In: Current Trends in High Performance Computing and Its Applications

Author

Listed:
  • Hui Xiao

    (Chinese Academy of Sciences, Laboratory of Cloud-Precipitation Physics and Severe Storms (LACS), Institute of Atmospheric Physics)

  • Weijie Zhai

    (Chinese Academy of Sciences, Laboratory of Cloud-Precipitation Physics and Severe Storms (LACS), Institute of Atmospheric Physics
    Louhe Occupation Technical College)

  • Zhengqi Chen

    (Shaanxi Province Weather Modification Center)

  • Yuxiang He

    (Chinese Academy of Sciences, Laboratory of Cloud-Precipitation Physics and Severe Storms (LACS), Institute of Atmospheric Physics)

  • Dezhen Jin

    (Jilin Province Weather Modification Center)

Abstract

A modeling method for evaluating rain enhancement of cloud seeding with liquid carbon dioxide (hereinafter LC) coolant and silver iodide (AgI) ice nuclei has been developed. The method has been used to simulate a field experiment. Modeling results indicate that cloud seeding with LC and AgI in the appropriate part of cloud can induce notable change to cloud microphysical and dynamical processes, accelerating updraft velocity, speeding up formation of rain water, changing rainfall distribution, and finally increasing total rainfall. Different seeding agent like LC and AgI has different seeding effect. The mechanism of seeding LC to increase rainfall is analyzed.

Suggested Citation

  • Hui Xiao & Weijie Zhai & Zhengqi Chen & Yuxiang He & Dezhen Jin, 2005. "A Modeling Method of Cloud Seeding for Rain Enhancement," Springer Books, in: Wu Zhang & Weiqin Tong & Zhangxin Chen & Roland Glowinski (ed.), Current Trends in High Performance Computing and Its Applications, pages 539-543, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-27912-9_74
    DOI: 10.1007/3-540-27912-1_74
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