Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 11
Articles | Volume 17, issue 11
https://doi.org/10.5194/amt-17-3377-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-3377-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 11
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

Viewed

Total article views: 1,038 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
851 145 42 1,038 31 32
  • HTML: 851
  • PDF: 145
  • XML: 42
  • Total: 1,038
  • BibTeX: 31
  • EndNote: 32
Views and downloads (calculated since 16 Jan 2024)
Cumulative views and downloads (calculated since 16 Jan 2024)

Viewed (geographical distribution)

Total article views: 1,038 (including HTML, PDF, and XML) Thereof 1,023 with geography defined and 15 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Apr 2025
Download
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.
Read more
Share