Investigates RLAN interference impact on C-band radar data, suggesting improved monitoring accuracy.
Interference in the local radio network (RLAN), referred to in this study as spike-type interference, is a significant problem in data from C-band weather radars, as it can degrade the accuracy of hydrometeor monitoring. The main challenge in removing these spikes is their spatial structure, particularly when they overlap with precipitation. At the Institute of Meteorology and Water Management—National Research Institute (IMGW-PIB), algorithms for removing such disturbances have been implemented as part of the RADVOL-QC system for radar data quality control. These algorithms primarily utilise polarimetric data. This paper describes them in detail and presents examples of how they work.
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Specht et al. (2026) studied this question.
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