• Sorted by Date • Sorted by Last Name of First Author •
de Viron, Olivier, Van Camp, Michel, and Sidére, Nicolas, 2026. Detection and characterization of Earth's interior signals in geodetic data using blind source separation methods. Geophysical Journal International, .
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2026GeoJI.tmp..603D,
author = {{de Viron}, Olivier and {Van Camp}, Michel and {Sid{\'e}re}, Nicolas},
title = "{Detection and characterization of Earth's interior signals in geodetic data using blind source separation methods}",
journal = {Geophysical Journal International},
year = 2026,
month = aug,
abstract = "{We assess the potential of blind source separation (BSS) methods to
recover signals originating from Earth's interior, using
synthetic tests and satellite gravimetry data. Seven BSS methods
are evaluated in terms of their ability to detect and
characterize low-amplitude interior signals embedded in dominant
noise and climate-induced variability. Our results show that
detection is generally feasible even when interior signals have
small relative amplitudes; in this context, classical Principal
Component Analysis (PCA) provides the most reliable detection
performance. However, detailed characterization of the spatial
and temporal structure of the interior signal proves more
challenging. Independent Component Analysis (ICA) offers
improved characterization compared to other methods, but only
when the interior signal's variability is comparable to that of
climate signals. We then apply a two-step screening process to
GRACE satellite gravity data. First, PCA is applied
independently at each grid point across Earth's surface,
successfully retrieving major climate signals previously
identified in the literature. Second, we use PCA on an
earthquake catalog spanning the GRACE observation period and
find that earthquakes with magnitudes below 8.5 can be detected.
However, the correlation between the retrieved components and
earthquake-induced gravity signals remains too weak to support
meaningful geophysical interpretation. These results highlight
both the promise and the current limitations of BSS methods for
investigating Earth's internal processes using space-based
gravimetry.}",
doi = {10.1093/gji/ggag325},
adsurl = {https://ui.adsabs.harvard.edu/abs/2026GeoJI.tmp..603D},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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