Articles | Volume 12, issue 9
https://doi.org/10.5194/amt-12-4813-2019
https://doi.org/10.5194/amt-12-4813-2019
Research article
 | 
10 Sep 2019
Research article |  | 10 Sep 2019

peakTree: a framework for structure-preserving radar Doppler spectra analysis

Martin Radenz, Johannes Bühl, Patric Seifert, Hannes Griesche, and Ronny Engelmann

Viewed

Total article views: 4,329 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,738 1,454 137 4,329 173 187
  • HTML: 2,738
  • PDF: 1,454
  • XML: 137
  • Total: 4,329
  • BibTeX: 173
  • EndNote: 187
Views and downloads (calculated since 22 Mar 2019)
Cumulative views and downloads (calculated since 22 Mar 2019)

Viewed (geographical distribution)

Total article views: 4,329 (including HTML, PDF, and XML) Thereof 4,116 with geography defined and 213 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 09 Mar 2026
Download
Short summary
Clouds may be composed of more than one particle population even at the smallest scales. Cloud radar observations can contain information on multiple particle species, showing up as distinct peaks and subpeaks in the Doppler spectrum. We propose the use of binary tree structures to recursively structure these peaks. Two case studies from different locations and instruments illustrate how this approach can be used to disentangle particle populations in multilayered mixed-phase clouds.
Share