Differential reflectivity columns and hail -- linking C-band radar-based estimated column characteristics to crowdsourced hail observations in Switzerland
Martin Aregger, Olivia Martius, Urs Germann, and Alessandro Hering

TL;DR
This study explores how differential reflectivity columns detected by C-band radar in Switzerland relate to hail reports, showing potential for early hail warning by analyzing ZDRC characteristics in complex alpine terrain.
Contribution
It adapts and applies an existing ZDRC detection algorithm to Swiss radar data, linking ZDRC features to ground hail reports and assessing their potential for hail prediction.
Findings
ZDRC are common in hail-producing storms
Higher ZDRC frequencies correlate with severe hail
Peak ZDRC values occur 5-10 minutes before hail reports
Abstract
Differential reflectivity columns (ZDRC) have been shown to provide information about a storm's updraft intensity and size. The updraft's characteristics, in turn, influence a severe storm's propensity to produce hail and the size of said hail. Consequently, there is the potential to use ZDRC for the detection and sizing of hail. In this observational study, we investigate the characteristics of ZDRC (volume, height, area, maximum ZDR within) automatically detected on an operational C-band radar network in Switzerland and relate them to hail on the ground using 173'000 crowdsourced hail reports collected over a period of 3.5 years. We implement an adapted version of an established ZDRC detection algorithm on a 3D composite of ZDR data derived from five Swiss weather radars. The composite, in combination with the dense network of radars located on differing altitudes up to 3000…
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Taxonomy
TopicsMeteorological Phenomena and Simulations · Cryospheric studies and observations · Precipitation Measurement and Analysis
