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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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2026-1141', Anonymous Referee #1, 30 Mar 2026
    • AC1: 'Reply on RC1', Jakob Juul Larsen, 05 May 2026
  • RC2: 'Comment on egusphere-2026-1141', Anonymous Referee #2, 13 Apr 2026
    • AC2: 'Reply on RC2', Jakob Juul Larsen, 05 May 2026

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Jakob Juul Larsen on behalf of the Authors (05 May 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (06 May 2026) by Lev Eppelbaum
AR by Jakob Juul Larsen on behalf of the Authors (07 May 2026)  Manuscript 
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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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