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.
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.
the Creative Commons Attribution 4.0 License.
Automating the analysis of hailstone layers
Joshua S. Soderholm
CORRESPONDING AUTHOR
Science and Innovation Group, Australian Bureau of Meteorology, Docklands, Victoria, Australia
Matthew R. Kumjian
Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, Pennsylvania, USA
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This study uses collocated ship-based, ground-based, and spaceborne radar observations to validate the concept of using the GPM spaceborne radar observations to calibrate national weather radar networks to the accuracy required for operational severe weather applications such as rainfall and hail nowcasting.
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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.
Hailstones often exhibit opaque and clear ice layers that have an onion-like appearance. These...