Results 61 to 70 of about 1,908 (201)

Small Earthquakes Can Help Predict Large Earthquakes: A Machine Learning Perspective

Applied Sciences, 2023
Earthquake prediction is a long-standing problem in seismology that has garnered attention from the scientific community and the public. Despite ongoing efforts to understand the physical mechanisms of earthquake occurrence, there is no convincing ...
Xi Wang, Zeyuan Zhong, Yuechen Yao, Zexu Li, Shiyong Zhou, Changsheng Jiang, Ke Jia   +6 more
doaj   +1 more source

Managing Differences in Geosciences and Computer Science: Strategies for Successful Interdisciplinary Collaboration

Perspectives of Earth and Space Scientists, Volume 7, Issue 1, December 2026.
Abstract The rise of quantitative geosciences approaches and accessible computer science tools have led to increasing overlap and opportunity at the boundaries of both fields. The need for both research innovation and student cross‐training has motivated new, interdisciplinary Computer Science‐Geoscience collaborations.
Elizabeth Hajek, Tracy Hammond, Ryan Ewing   +2 more
wiley   +1 more source

Statistical seismology of transverse waves in the solar corona

, 2013
Context. Observations show that transverse oscillations occur commonly in solar coronal loops. The rapid damping of these waves has been attributed to resonant absorption.
Antolin, Patrick, P. Antolin, White, R. S., White, Rebecca S., Doorsselaere, Tom, Verwichte, Erwin, Verwichte, E. (Erwin), T. Van Doorsselaere, E. Verwichte, Antolin, P., Van Doorsselaere, Tom, R. S. White   +11 more
core   +1 more source

Validation of ShakeMaps Created From Global Navigation Satellite System (GNSS) Velocities

Earthquake Spectra, Volume 42, Issue 3, August 2026.
Ground velocity observations generated through a time difference of Global Navigation Satellite Systems (GNSS) phase observables and orbits have been shown to be comparable to seismic recordings without clipping during intense ground motions. Computing GNSS velocities is also computationally scalable and increases the density of ground motion ...
Jensen V. DeGrande, Brendan W. Crowell
wiley   +1 more source

Simulated Seismicity as a Tool for Studying the Long-Term Seismogenic Process: An Italy–Japan Comparison

Applied Sciences
In this study, we aimed to assess the capacity of a physics-based earthquake simulator to improve our understanding of the seismogenic process. In this respect, we applied a previously tested earthquake simulator to two well-known and completely ...
Rodolfo Console, Roberto Carluccio, Paola Vannoli   +2 more
doaj   +1 more source

A review and new insights on the estimation of the b-valueand its uncertainty

Annals of Geophysics, 2003
The estimation of the b-value of the Gutenberg-Richter Law and its uncertainty is crucial in seismic hazard studies, as well as in verifying theoretical assertions, such as, for example, the universality of the Gutenberg-Richter Law.
L. Sandri, W. Marzocchi
doaj   +1 more source

Quantifying Model Selection Uncertainty in Structural Analysis: Methodology and Application

Earthquake Engineering &Structural Dynamics, Volume 55, Issue 9, Page 1828-1844, 25 July 2026.
ABSTRACT With increasing focus on complex engineering systems under rare events, computational models are critical for predictions due to the scarcity or absence of data. However, selecting an appropriate model can be challenging. Using a single model without available test calibration could result in significant bias in performance predictions. A case
Ya‐Heng Yang, Tracy C. Becker
wiley   +1 more source

The Role of Disorder in Foreshock Activity

Geosciences
Foreshocks, observed before some large earthquakes, remain debated in terms of their origins and predictive value. While aftershocks fit well within bottom-up triggering models like ETAS, foreshocks may arise from distinct preparatory processes ...
Giuseppe Petrillo
doaj   +1 more source

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

Earthquake Engineering &Structural Dynamics, Volume 55, Issue 9, Page 1811-1827, 25 July 2026.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini, Shaghayegh Karimzadeh, Paulo B. Lourenço   +2 more
wiley   +1 more source

An Information Geometry‐Based Method to Study Atmospheric and Seismic Phenomena With VLF Signals

Earth and Space Science, Volume 13, Issue 7, July 2026.
Abstract We propose to employ the framework of information geometry to detect anomalies in Very Low Frequency (VLF) and Low Frequency (LF) signal propagation, measured globally across amplitude and phase channels. Using a sliding‐window approach, the probability distributions of signal data are compared over adjacent intervals, defining a statistical ...
Abhiram Anand Thiruthummal, Sergiy Shelyag, Viktor Fedun, Sergey Ruzheinikov, Eun‐jin Kim   +4 more
wiley   +1 more source