Numerical experiments of the artificial rainfall mitigation technique considering the frequent occurrence of localized torrential rains caused by global warming

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The current study conducted numerical experiments using nonhydrostatic mesoscale meteorological model to evaluate and verify the rainfall mitigation effect by cloud seeding on torrential rains. Based on simulated heavy rain events in Japan, sensitivity analysis was performed by manipulating some conditions of cloud seeding implementation, i.e., area, height, time, etc., in incremental steps. Some standpoints of evaluation were introduced in the analysis to clarify whether and how far cloud seeding have a significant influence on precipitation systems. Results show that rainfall area and hourly rainfall, as well as maximum areal rainfall, can be decreased by cloud seeding, depending on the condition of its implementation. It was also clarified that rainfall mitigation by cloud seeding can be attributed to the leeward migration and/or diffusion of precipitation particles with excessive increase of ice crystals in upper layers of the atmosphere.