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<p>Quantifying artificial snowfall effects and accurately identifying microphysical changes remains a significant challenge due to background natural variability. This study analyzed two aircraft-based glaciogenic cloud seeding experiments conducted during the ICE-POP 2018 campaign on January 30 and March 21, 2018. To evaluate seeding effects, an integrated approach was utilized by linking numerical simulations, in situ airborne observations, and ground-based measurements. For the January 30 case, tracing the microphysical evolution along the Lagrangian advection path revealed a transition from ice initialization to dendritic growth, which was spatially aligned with the wind-driven transport of the seeded air mass. For the March 21 case, a distinct increase in ice particle concentrations and surface snowfall was recorded within the predicted seeding effect duration. The synchronization between the model-simulated seeding plume and the observed microphysical transitions provides a consistent physical basis for attributing these localized changes to the seeding experiment. By demonstrating a linked causal chain from plume dispersion to surface precipitation, this study underscores the capability of integrated observation–model frameworks to isolate seeding signals within complex orographic environments.</p>

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Aircraft-based Cloud Seeding Experiments Over the Yongpyong Region During the ICE-POP 2018

  • 期刊论文

  • 发表日期：

    2026年7月28日

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  • A-Reum Ko,
  • Ki-Ho Chang,
  • Sang-hee Chae,
  • Yonghun Ro,
  • Seongkyu Seo,
  • Seungbum Kim

摘要

Quantifying artificial snowfall effects and accurately identifying microphysical changes remains a significant challenge due to background natural variability. This study analyzed two aircraft-based glaciogenic cloud seeding experiments conducted during the ICE-POP 2018 campaign on January 30 and March 21, 2018. To evaluate seeding effects, an integrated approach was utilized by linking numerical simulations, in situ airborne observations, and ground-based measurements. For the January 30 case, tracing the microphysical evolution along the Lagrangian advection path revealed a transition from ice initialization to dendritic growth, which was spatially aligned with the wind-driven transport of the seeded air mass. For the March 21 case, a distinct increase in ice particle concentrations and surface snowfall was recorded within the predicted seeding effect duration. The synchronization between the model-simulated seeding plume and the observed microphysical transitions provides a consistent physical basis for attributing these localized changes to the seeding experiment. By demonstrating a linked causal chain from plume dispersion to surface precipitation, this study underscores the capability of integrated observation–model frameworks to isolate seeding signals within complex orographic environments.