Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 23
Articles | Volume 18, issue 23
https://doi.org/10.5194/amt-18-7445-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-7445-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 23
Research article
 | 
08 Dec 2025
Research article |  | 08 Dec 2025

Information-theoretic analysis of commercial microwave link and environmental variables in rainfall estimation

Anna Špačková, Martin Fencl, and Vojtěch Bareš

Viewed

Total article views: 1,000 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
888 90 22 1,000 21 46
  • HTML: 888
  • PDF: 90
  • XML: 22
  • Total: 1,000
  • BibTeX: 21
  • EndNote: 46
Views and downloads (calculated since 07 Apr 2025)
Cumulative views and downloads (calculated since 07 Apr 2025)

Viewed (geographical distribution)

Total article views: 1,000 (including HTML, PDF, and XML) Thereof 989 with geography defined and 11 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Dec 2025
Download
Short summary
This study uses information theory to enhance rainfall retrieval from attenuation data of commercial microwave links (CML). The framework enables evaluation of the performance of CMLs as rainfall sensors in a probabilistic manner and assessment of information content of an arbitrary variable for the rainfall retrieval, e.g. synoptic type. The study shows that using the information theory concept can also directly improve data processing of attenuation data, in this case dry-wet classification.
Read more
Share