Articles | Volume 19, issue 15
https://doi.org/10.5194/amt-19-5211-2026
https://doi.org/10.5194/amt-19-5211-2026
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

Data sets

WINTRE-MIX FARM Data Joshua Wurman and Karen Kosiba https://doi.org/10.48514/WZ46-W047

Model code and software

JValdivia23/radar-dct-smoothing: Initial release for AMT paper (v1.0.0) Jairo Valdivia https://doi.org/10.5281/zenodo.18226677

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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.
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