Results 131 to 140 of about 15,948 (253)

Rapid Earthquake Magnitude Estimation for Local Early Warning Systems Using Seismogeodesy

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 4, April 2026.
Abstract Rapid and accurate estimation of earthquake moment magnitude is crucial for early warning systems, for alerting coastal populations vulnerable to tsunamigenic hazards. Most seismic‐based estimation approaches introduce time delays that limit applicability near the source, while geodetic approaches have been limited to empirical scaling ...
Jonatan Glehman, Yehuda Bock, Barry Hirshorn, Allen Nance, Jonathan R. Weiss, Stuart Weinstein, Dorian Golriz   +6 more
wiley   +1 more source

A review of cloud computing and storage in seismology

Geophysical Journal International
SUMMARY Seismology has entered the petabyte era, driven by decades of continuous recordings of broad-band networks, the increase in nodal seismic experiments and the recent emergence of distributed acoustic sensing (DAS). This review explains how cloud platforms, by providing object storage, elastic compute and managed data bases, enable
Yiyu Ni, Marine A Denolle, Jannes Münchmeyer, Yinzhi Wang, Kuan-Fu Feng, Carlos Garcia Jurado Suarez, Amanda M Thomas, Chad Trabant, Alex Hamilton, David Mencin   +9 more
openaire   +1 more source

Measurement of Phase Velocity and Ellipticity of Multi‐Mode Surface Waves by Beamforming Multi‐Component Ambient Seismic Noise

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 4, April 2026.
Abstract Conventional beamforming of multi‐component ambient seismic noise typically utilizes only the vertical‐vertical (ZZ) component to extract Rayleigh wave dispersion curves or the transverse‐transverse (TT) component for Love waves. In this study, we extend weighted and modified beamforming to cross‐correlation functions between different ...
Tongwei Qin, Youyuan Zhang, Shanshan Jia, Laiyu Lu   +3 more
wiley   +1 more source

PHYSICS-INFORMED NEURAL NETWORKS FOR INVERSE TASKS OF ONE-DIMENSIONAL WAVE PROPAGATION

Електроніка та інформаційні технології
Background. Physics‑informed neural networks (PINNs) are a family of learning methods that guide neural networks with the laws of physics, rather than relying only on data.
Igor Kolych, Roman Shuvar
doaj   +1 more source

Investigating the Detectability of Body Wave Phases From Tidal Ice Cracking Events on Titan With the Dragonfly Short‐Period Seismometer

Journal of Geophysical Research: Planets, Volume 131, Issue 4, April 2026.
Abstract Detecting seismic activity on Saturn's icy moon Titan during the Dragonfly mission could provide crucial information on its internal structure. The geological complexity of the moon's surface suggests significant cyclic tidal deformation, likely leading to the fracturing of the ice shell.
L. Delaroque, T. Kawamura, A. Lucas, S. Rodriguez, K. Onodera, H. Shiraishi, R. Yamada, S. Tanaka, M. P. Panning, R. D. Lorenz   +9 more
wiley   +1 more source

Evaluating Seismic Ambient Noise Techniques for Imaging Lava Tubes on the Moon

Journal of Geophysical Research: Planets, Volume 131, Issue 4, April 2026.
Abstract Detecting and characterizing lava tubes is a key objective of upcoming lunar missions. While evidence for their presence exists, their precise dimensions and depths remain uncertain. This study evaluates the potential of seismic ambient noise methods, such as seismic interferometry, H/V spectral ratios, distributed acoustic sensing (DAS), and ...
Sabrina Keil, Rok Sesko, Martin Schimmel, Heiner Igel, Philipp Reiss   +4 more
wiley   +1 more source

A Temporal Look at the Influence of Topographic Amplification on Earthquake‐Triggered Landslides in 3D Seismic Simulations

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 4, April 2026.
Abstract Earthquakes are a primary trigger for landslides, often leading to catastrophic consequences. While numerous studies have explored the spatial distribution of earthquake‐triggered landslides, understanding the interaction between seismic waves and topography remains a critical challenge.
Emerald Awuor, Audrey Dunham, Hakan Tanyas, Islam Fadel   +3 more
wiley   +1 more source

Joint P- and S-Wave VSP Traveltime Tomography via Well Log-Guided Physics-Informed Neural Networks

IEEE Access
Traveltime tomography is widely used in seismology to construct accurate long-wavelengthsubsurface velocity models and to investigate the Earth’s internal structure and dynamic processes.
Tengyu Wang, Dingding Deng, Duoming Zheng, Zhen Zhang, Wenjun Luo, Yang Liu   +5 more
doaj   +1 more source

Quantifying Seasonal Deformation Signals Using InSAR and Groundwater Models in the Mississippi River Delta, Baton Rouge, Louisiana

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 4, April 2026.
Abstract Seasonal land motion can be caused by processes above or below Earth's surface, often linked to natural changes in the hydrological cycle. In coastal deltaic systems, the coupling of water level changes between rivers and aquifers may cause significant surface deformation, but this process is poorly understood.
C. Hurtado‐Pulido, K. Materna, A. B. A. Mohamed, C. J. Ebinger, F. T.‐C. Tsai   +4 more
wiley   +1 more source

Seeing Through Geomorphic Complexity to Recover Tectonics From Topography: Inverting Landscapes for Uplift Histories Using the Wasserstein Distance

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 4, April 2026.
Abstract An important problem in the Earth sciences is extracting information about tectonic and other processes from topography. A general challenge is that geomorphic activity that we typically have little information about during the lifetime of a landscape can introduce geomorphic “noise”.
M. J. Morris, G. G. Roberts, F. D. Richards, A. G. Lipp, E. R. Siddle   +4 more
wiley   +1 more source