Towards the systematic reconnaissance of seismic signals from glaciers and ice sheets – Part 2: Unsupervised learning for source process characterization

Latto, Rebecca B.; Turner, Ross J.; Reading, Anya M.; Cook, Sue; Kulessa, Bernd; Winberry, J. Paul

doi:https://doi.org/10.5194/tc-18-2081-2024

Articles | Volume 18, issue 4

https://doi.org/10.5194/tc-18-2081-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-18-2081-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 4

Research article

|

30 Apr 2024

Research article |

| 30 Apr 2024

Towards the systematic reconnaissance of seismic signals from glaciers and ice sheets – Part 2: Unsupervised learning for source process characterization

Rebecca B. Latto, Ross J. Turner, Anya M. Reading, Sue Cook, Bernd Kulessa, and J. Paul Winberry

Supplement

https://doi.org/10.5194/tc-18-2081-2024-supplement

Data sets

Geophysical Study of Ice Stream Stick-slip dynamics J. P. Winberry et al. https://doi.org/10.7914/SN/2C_2010

CATS2008: Circum-Antarctic Tidal Simulation version 2008 S. L. Howard et al. https://doi.org/10.15784/601235

Model code and software

An ObsPy library for event detection and seismic attribute calculation: preparing waveforms for automated analysis (v1.0.3.post1) R. J. Turner et al. https://doi.org/10.5281/zenodo.5499909

beccalatto/multi_sta_lta: Towards the systematic reconnaissance of seismic signals from glaciers and ice sheets – Part 1: Event detection for cryoseismology (v1.0.0) Becca Latto https://doi.org/10.5281/zenodo.11062070

Tide Model Driver (TMD) version 2.5, Toolbox for Matlab 2020 L. Erofeeva et al. https://www.github.com/EarthAndSpaceResearch/TMD_Matlab_Toolbox_v2.5

Short summary

Seismic catalogues are potentially rich sources of information on glacier processes. In a companion study, we constructed an event catalogue for seismic data from the Whillans Ice Stream. Here, we provide a semi-automated workflow for consistent catalogue analysis using an unsupervised cluster analysis. We discuss the defining characteristics of identified signal types found in this catalogue and possible mechanisms for the underlying glacier processes and noise sources.