A Modeling Method of Cloud Seeding for Rain Enhancement

Hui Xiao (), Weijie Zhai, Zhengqi Chen, Yuxiang He and Dezhen Jin
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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
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

A chapter in Current Trends in High Performance Computing and Its Applications, 2005, pp 539-543 from Springer

Abstract: 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.

Keywords: rain enhancement; cloud seeding; liquid CO2; modeling method (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-27912-9_74

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DOI: 10.1007/3-540-27912-1_74

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