Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 17
Articles | Volume 18, issue 17
https://doi.org/10.5194/amt-18-4467-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-4467-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 17
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: 1,791 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,676 90 25 1,791 32 56
  • HTML: 1,676
  • PDF: 90
  • XML: 25
  • Total: 1,791
  • BibTeX: 32
  • EndNote: 56
Views and downloads (calculated since 24 Mar 2025)
Cumulative views and downloads (calculated since 24 Mar 2025)

Viewed (geographical distribution)

Total article views: 1,791 (including HTML, PDF, and XML) Thereof 1,791 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Oct 2025
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.
Read more
Share