Results 161 to 170 of about 1,041 (255)

Basal Force Probability Distributions in Thin‐Layer Granular Flows

open access: yesJournal of Geophysical Research: Earth Surface, Volume 131, Issue 8, August 2026.
Abstract Extreme geophysical flows, such as granular and debris flows, can significantly shape the landscape in steep lands and generate seismic signals that can be recorded over long distances. However, direct field measurements needed to constrain the granular physics remain difficult due to the damage potential of those flows.
Jun Fang   +5 more
wiley   +1 more source

YOLO‐Based Detection and Localization of Rocket Induced Traveling Ionospheric Disturbances

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract During rocket launches, atmospheric disturbances significantly impact the ionosphere, generating Traveling Ionospheric Disturbances (TIDs). These disturbances can affect radio communications and navigation systems and may pose risks to high‐speed aerospace vehicles.
Zhou Chen   +6 more
wiley   +1 more source

iS‐GNN: Interpolation of Crustal Stress Maps Using a Graph Neural Network Model

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Estimating the orientation of the maximum horizontal stress (SHmax) from sparse and unevenly distributed geophysical observations remains a persistent challenge in tectonic and geomechanical stress studies. Classical interpolation methods often neglect the multiscale tectonic–geological heterogeneity of the crust, leading to biased estimates ...
Kwame A. Gyamfi, Michele M. C. Carafa
wiley   +1 more source

Transfer Learning and Benchmarking for Induced Seismic Event Detection: Insights From Oklahoma

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Machine learning models for microseismicity detection are often limited by the scarcity of large and high‐quality labeled data sets in many regions. To address this need, we introduce the Oklahoma Labeled AI Dataset (OKLAD), a manually curated data set compiled by the Oklahoma Geological Survey (OGS).
Hongyu Xiao   +7 more
wiley   +1 more source

Temporary Seismic Array Installation in the Contursi Terme Hydrothermal System: A Step Toward Geothermal Assessment. [PDF]

open access: yesSensors (Basel)
Serlenga V   +13 more
europepmc   +1 more source

Active Tectonics of the Eastern and Southern Alps ‐ Crustal Response to Deep Processes? A Review

open access: yesTectonics, Volume 45, Issue 8, August 2026.
Abstract Owing to the low N‐S convergence rates between Adria and Europe, crustal deformation rates in the Alps and its forelands are low. Active tectonics are, therefore, difficult to study, especially as non‐tectonic landscape forming processes can erase or modify the tectonic surface imprint. Large‐scale and dense seismological data recently offered
Christoph Grützner   +20 more
wiley   +1 more source

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