Results 91 to 100 of about 45,487 (293)
Journal of Geophysical Research: Earth Surface, Volume 131, Issue 2, February 2026.Abstract We present idealized 3‐D discrete element simulations exploring how varying boundary roughness and grain‐size distribution affect bulk granular‐rheology and basal‐force distributions. Boundary roughness has a direct control on the internal static friction coefficient.
P. Zrelak, E. C. P. Breard, J. Dufek
wiley +1 more source
Ionospheric disturbances around the time of the Ms7.0 Lushan earthquake
Geodesy and Geodynamics, 2013 Variations of Vertical Total Electron Content (VTEC) in the ionosphere are investigated around the time of the Ms7. 0 Lushan earthquake. A time-series analysis shows an anomalous VTEC increase 15 days before as well as some anomalous VTEC decreases 5 ...
Zhou Yiyan +4 more
doaj +1 more source
Preface to the Focus Section on Machine Learning in Seismology
Seismological Research Letters, 2019 Machine learning (ML) is a collection of algorithms and statistical models that enable computers to extract relevant patterns and information from large data sets.
K. Bergen, Ting Chen, Zefeng Li
semanticscholar +1 more source
Learning Wave Scattering Properties From Seismograms
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.Abstract Heterogeneities in the Earth's crust scatter seismic waves at many scales, trapping seismic energy and producing coda waves that encode valuable information on geological structures. In regions such as volcanoes and fault systems, analyzing coda waves is essential for characterizing non‐uniform subsurface heterogeneity, improving ...
Reza Esfahani +3 more
wiley +1 more source
Testing Audio Compression Autoencoders for Seismology: Moving Toward Foundation Models
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.Abstract Efforts to develop foundation models (FMs) for seismic waveform analysis are beginning to advance with progress still needed for geophysics applications. FMs learn a generalized representation of the data using a self‐supervised approach, thus allowing several downstream tasks to be performed in a unified framework.
Laura Laurenti +5 more
wiley +1 more source
Neural Operators for Continuous Bias Correction of Water Level Forecast Guidance
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.Abstract The National Oceanic and Atmospheric Administration's (NOAA) Global Two‐Dimensional Surge and Tide Operational Forecast System (STOFS‐2D‐Global) provides global operational tidal, subtidal, and total water level forecast guidance with a 7.5‐day horizon.
Atieh Alipour +10 more
wiley +1 more source
The influence of observation environment on background noise level of gPhone gravimeter
Geodesy and Geodynamics, 2017 Based on the observations of 36 gPhone gravimeters in 2015, the background noise levels in the seismic frequency band (200–600s) and sub-seismic band (1–6 h) are calculated.
Xiaotong Zhang +3 more
doaj +1 more source
Coronal Loop Seismology Using Standing Kink Oscillations With a Lookup Table
Frontiers in Astronomy and Space Sciences, 2019 The transverse structure of coronal loops plays a key role in the physics but the small transverse scales can be difficult to observe directly. For wider loops the density profile may be estimated by forward modelling of the transverse intensity profile.
D. Pascoe, A. Hood, T. Van Doorsselaere
semanticscholar +1 more source