Data, code and model for an ambient noise tomography study with a dense nodal network in the Basel-Riehen region, Switzerland

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Authors: Geneviève Savard, Nicolás D. Barbosa, Julien Sfalcin, Francisco Muñoz-Burbano, Douglas Sami Stumpp, Matteo Lupi
Cited by: 0

Abstract

Processing codes and data products for ambient noise tomography of the Basel-Riehen region, Switzerland, using a dense nodal seismic array. Contents:- Processing scripts (cross-correlation, dispersion picking, 2D tomography, depth inversion)- Station metadata and coordinates- Stacked cross-correlation functions (vertical-vertical component)- Dispersion curves- Group velocity maps- 3D shear-wave velocity model- Ray path kernel matrix for tomographic inversion Associated manuscript:Savard, G., Barbosa, N.D., Sfalcin, J., Muñoz-Burbano, F., Stumpp, D.S., and Lupi, M. (2026). Dense Nodal Network Ambient Noise Tomography Constrains Basement Heterogeneity Relevant to Hydrothermal and Enhanced Geothermal Systems Targeting in the Basel Region, Switzerland. Journal of Geophysical Research: Solid Earth. [in review] Code repository: https://github.com/savardge/basel-ant

Fields of Study & Subjects

Seismic Waves and Analysis Seismic Imaging and Inversion Techniques Geotechnical and Geomechanical Engineering

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 February 2026
Document type
Dataset