Articles | Volume 18, issue 22
https://doi.org/10.5194/amt-18-6569-2025
https://doi.org/10.5194/amt-18-6569-2025
Research article
 | 
17 Nov 2025
Research article |  | 17 Nov 2025

Detection of Multi-Modal Doppler Spectra – Part 2: Evaluation of the Detection Algorithm and Exploring Characteristics of Multi-modal Spectra Using a Long-term Dataset

Sarah Wugofski and Matthew R. Kumjian

Viewed

Total article views: 1,330 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,103 169 58 1,330 56 55
  • HTML: 1,103
  • PDF: 169
  • XML: 58
  • Total: 1,330
  • BibTeX: 56
  • EndNote: 55
Views and downloads (calculated since 24 Feb 2025)
Cumulative views and downloads (calculated since 24 Feb 2025)

Viewed (geographical distribution)

Total article views: 1,330 (including HTML, PDF, and XML) Thereof 1,311 with geography defined and 19 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 12 Feb 2026
Short summary
We demonstrate the detection algorithm is successful, with 89.6 % of events verifying. Using this radar moment-based algorithm will save users time and computational expenses of processing large spectral datasets when looking for case studies of processes associated with multi-modal spectra. Storing linear depolarization ratio for detected events can facilitate finding cases specific to ice or drizzle events. Pairing this with temperature helps determine processes that may be active.
Share