Articles | Volume 17, issue 11
https://doi.org/10.5194/amt-17-3377-2024
https://doi.org/10.5194/amt-17-3377-2024
Research article
 | 
03 Jun 2024
Research article |  | 03 Jun 2024

Dual adaptive differential threshold method for automated detection of faint and strong echo features in radar observations of winter storms

Laura M. Tomkins, Sandra E. Yuter, and Matthew A. Miller

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Latest update: 29 Jun 2024
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Short summary
We have created a new method to better identify enhanced features in radar data from winter storms. Unlike the clear-cut features seen in warm-season storms, features in winter storms are often fuzzier with softer edges. Our technique is unique because it uses two adaptive thresholds that change based on the background radar values. It can identify both strong and subtle features in the radar data and takes into account uncertainties in the detection process.