Articles | Volume 18, issue 5
https://doi.org/10.5194/amt-18-1185-2025
https://doi.org/10.5194/amt-18-1185-2025
Research article
 | 
07 Mar 2025
Research article |  | 07 Mar 2025

Mitigating radome-induced bias in X-band weather radar polarimetric moments using an adaptive discrete Fourier transform algorithm

Padmanabhan Thiruvengadam, Guillaume Lesage, Ambinintsoa Volatiana Ramanamahefa, and Joël Van Baelen

Viewed

Total article views: 2,385 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,251 850 284 2,385 95 88
  • HTML: 1,251
  • PDF: 850
  • XML: 284
  • Total: 2,385
  • BibTeX: 95
  • EndNote: 88
Views and downloads (calculated since 22 Aug 2024)
Cumulative views and downloads (calculated since 22 Aug 2024)

Viewed (geographical distribution)

Total article views: 2,385 (including HTML, PDF, and XML) Thereof 2,349 with geography defined and 36 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 08 Jun 2026
Download
Short summary
This study explores how the joints in a weather radar's protective cover affect its measurements. We developed a new method to correct these errors, improving the accuracy of the radar's data. Our method was tested during an intense cyclone on Réunion Island, demonstrating significant improvements in data accuracy. This research is crucial for enhancing weather predictions and understanding, particularly in challenging terrains.
Share