Aseismic slip and seismogenic coupling along the central San Andreas Fault
We use high‐resolution Synthetic Aperture Radar‐and GPS‐derived observations of surface
displacements to derive the first probabilistic estimates of fault coupling along the creeping …
displacements to derive the first probabilistic estimates of fault coupling along the creeping …
Accounting for prediction uncertainty when inferring subsurface fault slip
This study lays the groundwork for a new generation of earthquake source models based on
a general formalism that rigorously quantifies and incorporates the impact of uncertainties in …
a general formalism that rigorously quantifies and incorporates the impact of uncertainties in …
The earthquake‐source inversion validation (SIV) project
Finite‐fault earthquake source inversions infer the (time‐dependent) displacement on the
rupture surface from geophysical data. The resulting earthquake source models document …
rupture surface from geophysical data. The resulting earthquake source models document …
Accounting for uncertain fault geometry in earthquake source inversions–I: theory and simplified application
The ill-posed nature of earthquake source estimation derives from several factors including
the quality and quantity of available observations and the fidelity of our forward theory …
the quality and quantity of available observations and the fidelity of our forward theory …
Long-period analysis of the 2016 Kaikoura earthquake
Z Duputel, L Rivera - Physics of the Earth and Planetary Interiors, 2017 - Elsevier
Abstract The recent M w= 7.8 Kaikoura (New Zealand) earthquake involved a remarkably
complex rupture propagating in an intricate network of faults at the transition between the …
complex rupture propagating in an intricate network of faults at the transition between the …
The Bayesian earthquake analysis tool
H Vasyura‐Bathke, J Dettmer… - Seismological …, 2020 - pubs.geoscienceworld.org
The Bayesian earthquake analysis tool (BEAT) is an open‐source Python software to
conduct source‐parameter estimation studies for crustal deformation events, such as …
conduct source‐parameter estimation studies for crustal deformation events, such as …
Probabilistic moment tensor inversion for hydrocarbon‐induced seismicity in the Groningen gas field, The Netherlands, Part 1: Testing
Since 1991, induced earthquakes have been observed and linked to gas production in the
Groningen field. Recorded waveforms are complex, resulting partly from a Zechstein salt …
Groningen field. Recorded waveforms are complex, resulting partly from a Zechstein salt …
Seismic moment tensor inversion with theory errors from 2-D Earth structure: implications for the 2009–2017 DPRK nuclear blasts
Determining the seismic moment tensor (MT) from the observed waveforms with available
Earth's structure models is known as seismic waveform MT inversion. It remains challenging …
Earth's structure models is known as seismic waveform MT inversion. It remains challenging …
Tile low rank Cholesky factorization for climate/weather modeling applications on manycore architectures
Covariance matrices are ubiquitous in computational science and engineering. In particular,
large covariance matrices arise from multivariate spatial data sets, for instance, in …
large covariance matrices arise from multivariate spatial data sets, for instance, in …
Accounting for theory errors with empirical Bayesian noise models in nonlinear centroid moment tensor estimation
Centroid moment tensor (CMT) parameters can be estimated from seismic waveforms. Since
these data indirectly observe the deformation process, CMTs are inferred as solutions to …
these data indirectly observe the deformation process, CMTs are inferred as solutions to …