Articles | Volume 18, issue 10
https://doi.org/10.5194/amt-18-2261-2025
https://doi.org/10.5194/amt-18-2261-2025
Research article
 | 
27 May 2025
Research article |  | 27 May 2025

An introduction of the Three-Dimensional Precipitation Particle Imager (3D-PPI)

Jiayi Shi, Xichuan Liu, Lei Liu, Liying Liu, and Peng Wang

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Cited articles

Bailey, M. and Hallett, J.: Ice Crystal Linear Growth Rates from 20 ° to 70 °C: Confirmation from Wave Cloud Studies, J. Atmos. Sci., 69, 390–402, https://doi.org/10.1175/jas-d-11-035.1, 2012. 
Bataineh, B., Abdullah, S. N. H. S., and Omar, K.: An adaptive local binarization method for document images based on a novel thresholding method and dynamic windows, Pattern Recogn. Lett., 32, 1805–1813, https://doi.org/10.1016/j.patrec.2011.08.001, 2011. 
Battaglia, A., Rustemeier, E., Tokay, A., Blahak, U., and Simmer, C.: PARSIVEL Snow Observations: A Critical Assessment, J. Atmos. Ocean. Tech., 27, 333–344, https://doi.org/10.1175/2009jtecha1332.1, 2010. 
Bernauer, F., Hürkamp, K., Rühm, W., and Tschiersch, J.: Snow event classification with a 2D video disdrometer – A decision tree approach, Atmos. Res., 172–173, 186–195, https://doi.org/10.1016/j.atmosres.2016.01.001, 2016. 
Cheng, Q. and Huang, P.: Camera Calibration Based on Phase Estimation, IEEE T. Instrum. Meas., 72, 1–9, https://doi.org/10.1109/tim.2022.3227554, 2023. 
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Short summary
The Three-Dimensional Precipitation Particle Imager (3D-PPI) was introduced as a new instrument to measure the three-dimensional shape, size, and falling velocity of precipitation particles. Field experiments of the 3D-PPI were conducted in Tulihe, China, during the winter of 2023 to 2024. More than 880 000 snowflakes in a typical snowfall case lasting 13 h were recorded. It shows potential applications in atmospheric science, polar research, and other fields.
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