Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 16, issue 3
Articles | Volume 16, issue 3
https://doi.org/10.5194/amt-16-695-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-695-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 3
Research article
 | 
07 Feb 2023
Research article |  | 07 Feb 2023

Automating the analysis of hailstone layers

Joshua S. Soderholm and Matthew R. Kumjian

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Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Laboratory Measurement | Topic: Data Processing and Information Retrieval
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Cited articles

Adams-Selin, R. D.: Examination of common hail growth pathways in left- and right-moving supercells through the use of a newly developed trajectory clustering algorithm, Am. Meteorol. Soc., https://ams.confex.com/ams/102ANNUAL/meetingapp.cgi/Paper/399996 (last access: 27 January 2023), 2022. a
Brook, J. P., Protat, A., Soderholm, J., Carlin, J. T., McGowan, H., and Warren, R. A.: HailTrack—improving radar-based hailfall estimates by modeling hail trajectories, J. Appl. Meteorol. Clim., 60, 237–254, https://doi.org/10.1175/JAMC-D-20-0087.1, 2021. a
Browning, K. A.: The lobe structure of giant hailstones, Q. J. Roy. Meteor. Soc., 93, 556–556​​​​​​​, https://doi.org/10.1002/qj.49709339820, 1967. a, b
Browning, K. A. and Beimers, J. G. D.: The Oblateness of Large Hailstones, J. Appl. Meteorol., 6, 1075–1081, https://doi.org/10.1175/1520-0450(1967)006<1075:toolh>2.0.co;2, 1967. a, b
Carras, J. and Macklin, W.: Air bubbles in accreted ice, Q. J. Roy. Meteor. Soc., 101, 127–146, https://doi.org/10.1256/smsqj.42710, 1975. a, b, c
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Short summary
Hailstones often exhibit opaque and clear ice layers that have an onion-like appearance. These layers are record of the conditions during growth and can be simulated by hail growth models. A new technique for automating the measurement of these layers from hail cross sections is demonstrated. This technique is applied to a collection of hailstones from Melbourne, Australia, to understand their growth evolution, and a first look at evaluating a hail growth model is demonstrated.
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