Articles | Volume 15, issue 1
https://doi.org/10.5194/gi-15-183-2026
https://doi.org/10.5194/gi-15-183-2026
Research article
 | 
21 May 2026
Research article |  | 21 May 2026

Enhanced removal of very low frequency and low frequency radio noise from transient electromagnetic data with modeling and adaptive filtering

Michel Hardenberg and Jakob Juul Larsen

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Short summary
Transient electromagnetics (TEM) is traditionally used for mapping, but new use-cases are emerging. For example, a stationary TEM instrument can gather time-lapse data. By observing dynamic changes of the subsurface resistivity model, it is possible to track changes in groundwater levels. However, the changes are minuscule and data sets with very high signal-to-noise ratios are therefore crucial. We demonstrate a method for suppressing noise from a specific type of radio noise.
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