Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 15, issue 2
Articles | Volume 15, issue 2
https://doi.org/10.5194/amt-15-485-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-485-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 2
Research article
 | 
27 Jan 2022
Research article |  | 27 Jan 2022

Rainfall retrieval algorithm for commercial microwave links: stochastic calibration

Wagner Wolff, Aart Overeem, Hidde Leijnse, and Remko Uijlenhoet

Viewed

Total article views: 1,729 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,095 596 38 1,729 31 27
  • HTML: 1,095
  • PDF: 596
  • XML: 38
  • Total: 1,729
  • BibTeX: 31
  • EndNote: 27
Views and downloads (calculated since 12 Mar 2021)
Cumulative views and downloads (calculated since 12 Mar 2021)

Viewed (geographical distribution)

Total article views: 1,729 (including HTML, PDF, and XML) Thereof 1,700 with geography defined and 29 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 27 Nov 2023
Download
Short summary
The existing infrastructure for cellular communication is promising for ground-based rainfall remote sensing. Rain-induced signal attenuation is used in dedicated algorithms for retrieving rainfall depth along commercial microwave links (CMLs) between cell phone towers. This processing is a source of many uncertainties about input data, algorithm structures, parameters, CML network, and local climate. Application of a stochastic optimization method leads to improved CML rainfall estimates.
Read more