Presentation Title: | Analyses of Cloud Seeding Materials using K-CPEC Laboratory and the Implementation in a WRF Spectral-bin Microphysics for Weather Modification Assessment |
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Full Name: | Miloslav Belorid |
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Affiliation / Institution: | National Institute of Meteorological Sciences |
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Co-Author |
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Full Name: | Bu-Yo Kim |
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Affiliation / Institution: | National Institute of Meteorological Sciences |
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Co-Author 2 |
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Full Name: | Haejung Koo |
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Affiliation / Institution: | National Institute of Meteorological Sciences |
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Co-Author 3 |
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Full Name: | Youngmi Kim |
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Affiliation / Institution: | National Institute of Meteorological Sciences |
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Co-Author 4 |
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Full Name: | Joo Wan Cha |
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Affiliation / Institution: | National Institute of Meteorological Sciences |
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Co-Author 5 |
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Full Name: | Chang Gi Ho |
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Affiliation / Institution: | National Institute of Meteorological Sciences |
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Co-Author 6 |
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Full Name: | Seungbum Kim |
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Affiliation / Institution: | National Institute of Meteorological Sciences |
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Co-Author 7 |
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Full Name: | Minsu Park |
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Affiliation / Institution: | Yonsei University |
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Abstract: | In this study, we analyzed the physical properties of various hygroscopic cloud seeding materials at the K-CPEC laboratory. Particles from seeding powders and burning flares were injected into an aerosol chamber under controlled environmental conditions and analyzed using precise instrumentation. The powders were introduced into the chamber via an aerosol generator, while seeding flares were sampled iso-kinetically from a wind tunnel set to specific flow velocities, simulating the wind or aircraft speeds encountered during outdoor cloud seeding flare combustion. Our analyses focused primarily on hygroscopicity, particle size distributions, and emission rates, which are not only important for understanding material characteristics but also essential parameters for numerical modeling of cloud seeding experiments. To evaluate the effectiveness of cloud seeding experiments, we employed the latest version of the Weather Research and Forecasting (WRF) model, which was modified to simulate the activation of seeding aerosols using the Fast Spectral-bin microphysics scheme. Finally, we conducted a numerical simulation of a field cloud seeding experiment, and the results will be presented alongside data from our laboratory analyses.
This work was funded by the Korea Meteorological Administration Research and Development Program "Research for Weather Modification and Cloud Physics" under Grant (KMA2018-00224). |
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