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http://dx.doi.org/10.3741/JKWRA.2020.53.11.999

Verification of precipitation enhancement by weather modification experiments using radar data  

Ro, Yonghun (Convergence Meteorological Research Department, National Institute of Meteorological Sciences)
Cha, Joo-Wan (Convergence Meteorological Research Department, National Institute of Meteorological Sciences)
Chae, Sanghee (Convergence Meteorological Research Department, National Institute of Meteorological Sciences)
Publication Information
Journal of Korea Water Resources Association / v.53, no.11, 2020 , pp. 999-1013 More about this Journal
Abstract
Weather modification research has been actively performed worldwide, but a technology that can more quantitatively prove the research effects are needed. In this study, the seeding effect, the efficiency of precipitation enhancement in weather modification experiment, was verified using the radar data. Also, the effects of seeding material on hydrometeor change was analyzed. For this, radar data, weather conditions, and numerical simulation data for diffusion were applied. First, a method to analyze the seeding effect in three steps was proposed: before seeding, during seeding, and after seeding. The proposed method was applied to three cases of weather modification experiments conducted in Gangwon-do and the West Sea regions. As a result, when there is no natural precipitation, the radar reflectivity detected in the area where precipitation change is expected was determined as the seeding effect. When natural precipitation occurs, the seeding effect was determined by excluding the effect of natural precipitation from the maximum reflectivity detected. For the application results, it was found that the precipitation intensity increased by 0.1 mm/h through the seeding effect. In addition, it was confirmed that ice crystals, supercooled water droplets, and mixed-phase precipitation were distributed in the seeding cloud. The results of these weather modification research can be used to secure water resources as well as for future study of cloud physics.
Keywords
Weather modification; Seeding effect; Precipitation; Radar data; Hydrometeor;
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