Ambient Noise Spectroscopy for efficient monitoring of unbiased seismic velocity changes

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ID: 325833
2026
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Abstract
Summary Ambient noise based monitoring of subsurface velocity changes is possible without the explicit retrieval of Green’s functions by correlation. Velocity variations can directly be observed from the fluctuations in the spectrograms of ambient noise time series or their cross-spectra. This approach is more resource efficient than the conventional Green’s function based monitoring and ideally suited for edge processing and the analysis of large volumes of data for example from fibre-optic records. The spectral fluctuations result from wave propagation in the heterogeneous subsurface and interference between different scattering paths. The fluctuations are directly related to the occurrence of coda waves in the Green’s function. In contrast to coda wave interferometry in the time domain, monitoring the evolution of spectral fluctuations allows for measurements of velocity changes that are unbiased by changes in the source spectrum. Recognizing that the imprint of the subsurface heterogeneity is directly encoded in the spectral fluctuations opens a new perspective on the investigation of subsurface scattering and attenuation.
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openalex_W7203942126 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Christoph Sens‐Schönfelder
Journal geophysical journal international
Year 2026
DOI
10.1093/gji/ggag333
URL
https://doi.org/10.1093/gji/ggag333
Keywords Keywords not found

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