Presentation Title:Analyses of Cloud Seeding Materials using K-CPEC Laboratory and the Implementation in a WRF Spectral-bin Microphysics for Weather Modification Assessment
Full Name:Miloslav Belorid
Affiliation / Institution:National Institute of Meteorological Sciences
Co-Author
Full Name:Bu-Yo Kim
Affiliation / Institution:National Institute of Meteorological Sciences
Co-Author 2
Full Name:Haejung Koo
Affiliation / Institution:National Institute of Meteorological Sciences
Co-Author 3
Full Name:Youngmi Kim
Affiliation / Institution:National Institute of Meteorological Sciences
Co-Author 4
Full Name:Joo Wan Cha
Affiliation / Institution:National Institute of Meteorological Sciences
Co-Author 5
Full Name:Chang Gi Ho
Affiliation / Institution:National Institute of Meteorological Sciences
Co-Author 6
Full Name:Seungbum Kim
Affiliation / Institution:National Institute of Meteorological Sciences
Co-Author 7
Full Name:Minsu Park
Affiliation / Institution:Yonsei University
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).