Shibata et al. (2026) Identification of Individual Precipitation Particles Using Particle Polarization Lidar

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Identification

• Journal: Springer Link (Chiba Institute of Technology)
• Year: 2026
• Date: 2026-04-09
• Authors: Yasukuni Shibata, Ryosuke Sato
• DOI: 10.1051/epjconf/202636202033/pdf

Research Groups

Not specified in the provided text.

Short Summary

Development and validation of a particle polarization lidar (PPL) designed to distinguish between raindrops, wet snowflakes, and dry snowflakes by analyzing individual particle depolarization ratios and sizes.

Objective

• To develop a method for identifying individual precipitation particles and to evaluate the variability of depolarization ratios in individual snowflakes, moving beyond the spatially and temporally averaged measurements used in previous lidar observations.

Study Configuration

• Spatial Scale: Individual particle level (microscale).
• Temporal Scale: Dynamic precipitation process involving alternating snowfall and rainfall.

Methodology and Data

• Models used: Particle Polarization Lidar (PPL).
• Data sources: Laboratory-created artificial snowflakes and experimental measurements of real-time precipitation.

Main Results

• Demonstrated the ability to differentiate between raindrops, wet snowflakes, and dry snowflakes.
• Established that the identification is possible through the specific relationship between the depolarization ratio and the particle size of individual precipitation particles.

Contributions

• Advances precipitation lidar technology by shifting from averaged depolarization ratios to the analysis of individual particles, allowing for higher precision in identifying precipitation types.

Funding

Not specified in the provided text.

Citation

@article{Shibata2026Identification,
  author = {Shibata, Yasukuni and Sato, Ryosuke},
  title = {Identification of Individual Precipitation Particles Using Particle Polarization Lidar},
  journal = {Springer Link (Chiba Institute of Technology)},
  year = {2026},
  doi = {10.1051/epjconf/202636202033/pdf},
  url = {https://doi.org/10.1051/epjconf/202636202033/pdf}
}