Results 51 to 60 of about 1,653,781 (183)

A Spatio‐Temporal Neural Kernel Function Model for Earthquake Clustering: Bridging ETAS and Neural Point Processes

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Modeling earthquake clustering in space and time is central to understanding seismicity patterns and improving forecasting. The Epidemic‐Type Aftershock Sequence (ETAS) model, grounded in the Hawkes process, has long been the standard approach for describing aftershock triggering through fixed, empirically defined kernel functions.
Chengxiang Zhan, Stephen Wu, Jiancang Zhuang, Shichen Gao   +3 more
wiley   +1 more source

Seismological aspects of intermediate and small-scale upper mantle structure : considerations on a global and regional scale [PDF]

, 1996
Seismology can be defined as the mathematical and physical study of earthquakes. It is also the study of how the earth's vibrations, generated by earthquakes, can be used to make statements about the internal structure of the earth.
Seismology, IVAU: Instituut voor Aardwetenschappen Utrecht, Passier, M.L.   +2 more
core   +1 more source

Spatial- and temporal-interpolations for efficient hybrid wave numerical simulations

Frontiers in Earth Science, 2022
The hybrid simulation method is developed for simulating wave propagation only in a localized heterogeneous media with hybrid inputs obtained once for all from a known reference model.
Hao Shen, Hao Shen, Xiaotian Tang, Xiaotian Tang, Chao Lyu, Chao Lyu, Liang Zhao, Liang Zhao   +7 more
doaj   +1 more source

Full‐Waveform Seismic Tomography of the Upper Mantle Beneath the Arabia‐Eurasia Collision Zone

Geochemistry, Geophysics, Geosystems, Volume 27, Issue 10, October 2026.
Abstract Despite being one of the most recent major orogenic events, the timing of the Arabia‐Eurasia collision is still debated. Much of the discrepancy arises due to uncertainties over the amount of continental subduction of the Arabian passive margin and the timing of a hard collision of cratonic Arabian lithosphere with Eurasia.
Edward J. Clennett, Chujie Liu, Stephen P. Grand, Thorsten W. Becker   +3 more
wiley   +1 more source

P- and S velocity structure in the Groningen gas reservoir from noise interferometry [PDF]

, 2017
Noise interferometry has proven to be a powerful tool to image seismic structure. In this study we used data from 10 geophones located in a borehole at ∼3 km depth within the Groningen gas reservoir in the Netherlands.
Paulssen, H., Seismology, Zhou, W.
core   +1 more source

High-performance CPU-GPU heterogeneous computing method for 9-component ambient noise cross-correlation

Earthquake Research Advances
Ambient noise tomography is an established technique in seismology, where calculating single- or nine-component noise cross-correlation functions (NCFs) is a fundamental first step.
Jingxi Wang, Weitao Wang, Chao Wu, Lei Jiang, Hanwen Zou, Huajian Yao, Ling Chen   +6 more
doaj   +1 more source

Earthquake Seismogram Denoising Across Time, Time‐Frequency, and Hybrid Domain Approaches

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Deep learning earthquake signal denoisers commonly operate directly on waveform data or on time‐frequency representations, yet the impact of this design choice has not been systematically assessed under controlled conditions. Here we design and benchmark four comparable deep learning architectures to assess the effect of input data ...
Nikolaj L. Dahmen
wiley   +1 more source

3D Converted Wave Reverse Time Migration Imaging

Seismica
We describe a newly developed method for recovering high-resolution images of seismic discontinuities, such as subducting slabs, in 3D. Our method makes use of converted S→P or P→S waves observed by dense arrays of seismometers to infer the locations ...
Leah Langer, Christopher Henze, Fred F. Pollitz, Jeffrey J. McGuire   +3 more
doaj   +1 more source

QuakeML: status of the XML-based seismological data exchange format

Annals of Geophysics, 2011
QuakeML is an XML-based data exchange standard for seismology that is in its fourth year of active community-driven development. Its development was motivated by the need to consolidate existing data formats for applications in statistical seismology, as
Joachim Saul, Philipp Kästli, Fabian Euchner, Danijel Schorlemmer   +3 more
doaj   +1 more source

IGyTheM: Integrating Geodynamics With Thermodynamics Using Machine Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Achieving a comprehensive understanding of mantle convection requires integrated models that couple mantle dynamics with thermodynamic properties. Although advances in computational geodynamics have substantially improved our ability to simulate the underlying physical processes, incorporating thermodynamics into self‐consistent geodynamic ...
Qian Yuan, Paul D. Asimow, Michael Gurnis, Paula Antoshechkina, Junjie Dong   +4 more
wiley   +1 more source