SeisMIC - an Open Source Python Toolset to Compute Velocity Changes from Ambient Seismic Noise

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.26443/seismica.v3i1.1099. This is version 3 of this Preprint.

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Authors

Peter Makus , Christoph Sens-Schönfelder

Abstract

We present SeisMIC, a fast, versatile, and adaptable open-source software to estimate seismic velocity changes from ambient seismic noise. SeisMIC includes a broad set of tools and functions to facilitate end-to-end processing of ambient noise data, from data retrieval and raw data analysis via spectrogram computation, over waveform coherence analysis, to post-processing of the final velocity change estimates. A particular highlight of the software is its ability to invert velocity change time series onto a spatial grid, making it possible to create maps of velocity changes. To tackle the challenge of processing large continuous datasets, SeisMIC can exploit multithreading at high efficiency with an about five-time improvement in compute time compared to MSNoise, probably the most widespread ambient noise software. In this manuscript, we provide a short tutorial and tips for users on how to employ SeisMIC most effectively. Extensive and up-to-date documentation is available online. Its broad functionality combined with easy adaptability and high efficiency make SeisMIC a well-suited tool for studies across all scales.

DOI

https://doi.org/10.31223/X55669

Subjects

Computer Sciences, Earth Sciences, Environmental Monitoring, Environmental Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

Keywords

Seismology, Environmental seismology, Seismic ambient noise, noise monitoring, Seismic interferometry, scientific programming, volcano seismology, passive image interferometry

Dates

Published: 2023-09-01 10:38

Last Updated: 2024-02-13 14:33

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License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
None