Articles | Volume 20, issue 11
https://doi.org/10.5194/tc-20-6283-2026
https://doi.org/10.5194/tc-20-6283-2026
Research article
 | 
04 Nov 2026
Research article |  | 04 Nov 2026

SeidarT: an open-source full-waveform seismic and electromagnetic wave propagation modeling toolbox demonstrated in snow and ice

Steven Bernsen, Christopher Gerbi, Senthil Vel, Knut Christianson, and Seth Campbell

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Cited articles

A2 Photonics Sensors: Wise Snow Liquid Water Content Sensor User Manual, A2 Photonics Sensors, Grenoble, France, 2019. a
Agnew, R. S., Clark, R. A., Booth, A. D., Brisbourne, A. M., and Smith, A. M.: Measuring seismic attenuation in polar firn: method and application to Korff Ice Rise, West Antarctica, J. Glaciol., 69, 2075–2086, https://doi.org/10.1017/jog.2023.82, 2023. a
Akaike, H.: A new look at the statistical model identification, IEEE T. Automat. Contr., 19, 716–723, 2003. a
Aki, K. and Richards, P.: Quantitative seismology, MIT Press, ISBN 978-1891389634, 2002. a
Ali, T., Eldin, M. N., and Haider, W.: The effect of soil-structure interaction on the seismic response of structures using machine learning, finite element modeling and ASCE 7-16 methods, Sensors, 23, 2047, https://doi.org/10.3390/s23042047, 2023. a
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Short summary
We developed open-source software that simulates how elastic and electromagnetic waves travel through snow and ice with the aim to advance and make accessible ice and snow imaging methods. This helps researchers test survey designs and interpret field measurements without expensive or risky expeditions. Parameters influencing the mechanics of snow and ice are easily input from JSON files, and geometries can be generated using an image editor allowing for time effective production of models.
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