Articles | Volume 18, issue 21
https://doi.org/10.5194/amt-18-5999-2025
https://doi.org/10.5194/amt-18-5999-2025
Research article
 | 
03 Nov 2025
Research article |  | 03 Nov 2025

HoloTrack: in-situ holographic particle tracking velocimetry of cloud droplets

Birte Thiede, Freja Nordsiek, Yewon Kim, Eberhard Bodenschatz, and Gholamhossein Bagheri

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Cited articles

Allwayin, N., Larsen, M. L., Glienke, S., and Shaw, R. A.: Locally narrow droplet size distributions are ubiquitous in stratocumulus clouds, Science, 384528–532, 2024. a, b
Baek, S. and Lee, S.: A new two-frame particle tracking algorithm using match probability, Experiments in Fluids, 2223–32, 1996. a, b
Beals, M. A., Fugal, J. P., Shaw, R. A., Lu, J., Spuler, S. M., and Stith, J. L.: Holographic measurements of inhomogeneous cloud mixing at the centimeter scale, Science, 35087–90, 2015. a
Beals, M. J.: Investigations of Cloud Microphysical Response to Mixing Using Digital Holography, PhD thesis, Michigan Technological University, http://digitalcommons.mtu.edu/etds/669 (last access: 3 March 2025), 2013. a
Bertens, G., Bagheri, G., Xu, H., Bodenschatz, E., and Moláček, J.: In situ cloud particle tracking experiment, Review of Scientific Instruments, 92, https://doi.org/10.1063/5.0065806, 2021. a
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Short summary
HoloTrack is a fully autonomous system designed to capture detailed data on cloud droplets. It combines holographic imaging with environmental sensors to measure droplet size, movement, and surrounding air conditions. The system records hologram pairs to track droplet motion. While it can be used in the lab, it is mainly designed for in-flight use to measure cloud droplets in-situ. This paper presents the instrument’s design and evaluates its performance through testing.
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