Recent advances and challenges of waveform‐based seismic location methods at multiple scales
Source locations provide fundamental information on earthquakes and lay the foundation for
seismic monitoring at all scales. Seismic source location as a classical inverse problem has …
seismic monitoring at all scales. Seismic source location as a classical inverse problem has …
Big data seismology
The discipline of seismology is based on observations of ground motion that are inherently
undersampled in space and time. Our basic understanding of earthquake processes and our …
undersampled in space and time. Our basic understanding of earthquake processes and our …
Fibre optic distributed acoustic sensing of volcanic events
Understanding physical processes prior to and during volcanic eruptions has improved
significantly in recent years. However, uncertainties about subsurface structures distorting …
significantly in recent years. However, uncertainties about subsurface structures distorting …
Dynamic strain determination using fibre-optic cables allows imaging of seismological and structural features
Natural hazard prediction and efficient crust exploration require dense seismic observations
both in time and space. Seismological techniques provide ground-motion data, whose …
both in time and space. Seismological techniques provide ground-motion data, whose …
Obtaining free USArray data by multi-dimensional seismic reconstruction
USArray, a pioneering project for the dense acquisition of earthquake data, provides a semi-
uniform sampling of the seismic wavefield beneath its footprint and greatly advances the …
uniform sampling of the seismic wavefield beneath its footprint and greatly advances the …
High-resolution seismic event detection using local similarity for Large-N arrays
We develop a novel method for seismic event detection that can be applied to large-N
arrays. The method is based on a new detection function named local similarity, which …
arrays. The method is based on a new detection function named local similarity, which …
Do low‐cost seismographs perform well enough for your network? An overview of laboratory tests and field observations of the OSOP Raspberry Shake 4D
RE Anthony, AT Ringler… - Seismological …, 2019 - pubs.geoscienceworld.org
Seismologists have recently begun using low‐cost nodal sensors in dense deployments to
sample the seismic wavefield at unprecedented spatial resolution. Earthquake early warning …
sample the seismic wavefield at unprecedented spatial resolution. Earthquake early warning …
Magma reservoirs from the upper crust to the Moho inferred from high-resolution Vp and Vs models beneath Mount St. Helens, Washington State, USA
The size, frequency, and intensity of volcanic eruptions are strongly controlled by the volume
and connectivity of magma within the crust. Several geophysical and geochemical studies …
and connectivity of magma within the crust. Several geophysical and geochemical studies …
MALMI: An automated earthquake detection and location workflow based on machine learning and waveform migration
Robust automatic event detection and location is central to real‐time earthquake monitoring.
With the increase of computing power and data availability, automated workflows that utilize …
With the increase of computing power and data availability, automated workflows that utilize …
A little data goes a long way: Automating seismic phase arrival picking at Nabro volcano with transfer learning
S Lapins, B Goitom, JM Kendall… - Journal of …, 2021 - Wiley Online Library
Supervised deep learning models have become a popular choice for seismic phase arrival
detection. However, they do not always perform well on out‐of‐distribution data and require …
detection. However, they do not always perform well on out‐of‐distribution data and require …