Articles | Volume 18, issue 17
https://doi.org/10.5194/amt-18-4467-2025
https://doi.org/10.5194/amt-18-4467-2025
Research article
 | 
12 Sep 2025
Research article |  | 12 Sep 2025

CLEAR: a new discrete multiplicative random cascade model for disaggregating path-integrated rainfall estimates from commercial microwave links

Martin Fencl and Marc Schleiss

Viewed

Total article views: 4,679 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,612 871 196 4,679 226 257
  • HTML: 3,612
  • PDF: 871
  • XML: 196
  • Total: 4,679
  • BibTeX: 226
  • EndNote: 257
Views and downloads (calculated since 24 Mar 2025)
Cumulative views and downloads (calculated since 24 Mar 2025)

Viewed (geographical distribution)

Total article views: 4,679 (including HTML, PDF, and XML) Thereof 4,633 with geography defined and 46 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 27 Sep 2026
Download
Short summary
A novel disaggregation algorithm for commercial microwave links (CMLs), named CLEAR (CML Segments with Equal Amounts of Rain), is proposed. CLEAR utilizes a multiplicative random cascade generator to control the splitting of link segments. The evaluation performed both on virtual and real CML data shows that CLEAR outperforms a commonly used benchmark algorithm. Moreover, the stochastic nature of CLEAR allows it to represent uncertainty as an ensemble of rain rate distributions along CML paths.
Share