Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 19, issue 15
Articles | Volume 19, issue 15
https://doi.org/10.5194/amt-19-5211-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-19-5211-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 15
Research article
 | 
10 Aug 2026
Research article |  | 10 Aug 2026

Radar data smoothing using the Discrete Cosine Transform: a fast spectral domain algorithm

Jairo M. Valdivia, Will Chapman, and Katja Friedrich

Viewed

Total article views: 1,130 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
773 293 64 1,130 60 101
  • HTML: 773
  • PDF: 293
  • XML: 64
  • Total: 1,130
  • BibTeX: 60
  • EndNote: 101
Views and downloads (calculated since 27 Feb 2026)
Cumulative views and downloads (calculated since 27 Feb 2026)

Viewed (geographical distribution)

Total article views: 1,130 (including HTML, PDF, and XML) Thereof 1,130 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 10 Aug 2026
Download
Short summary
Weather radar data often contains significant noise that obscures storm details. Traditional cleaning methods are computationally slow because they must adjust for the complex spreading geometry of radar beams. We developed a new, highly efficient algorithm that solves this by processing data as frequencies. This method reduces hours of computer processing time to seconds and effectively removes noise without distorting features.
Read more
Share