2025-09-03 09:02:43
Revealing Hidden Precursors to Earthquakes via a Stress-Sensitive Transformation of Seismic Noise
Nader Shakibay Senobari
https://arxiv.org/abs/2509.00268 https://
Revealing Hidden Precursors to Earthquakes via a Stress-Sensitive Transformation of Seismic Noise
Nader Shakibay Senobari
https://arxiv.org/abs/2509.00268 https://
Crosslisted article(s) found for eess.SP.  https://arxiv.org/list/eess.SP/new 
[1/1]:
- Revealing Hidden Precursors to Earthquakes via a Stress-Sensitive Transformation of Seismic Noise
  Nader Shakibay Senobari
  
On the inverse problem of the earthquake source and the three-phase relaxation mode of the source after the formation of a main rupture in it
A. V. Guglielmi
https://arxiv.org/abs/2510.01679 
Geospatial AI for Liquefaction Hazard and Impact Forecasting: A Demonstrative Study in the U.S. Pacific Northwest
Morgan D. Sanger, Brett W. Maurer
https://arxiv.org/abs/2509.10965 
Bunching of extreme events on complex network
Sarvesh K. Upadhyay, Vimal Kishore, Sanjay Kumar, R. E. Amritkar
https://arxiv.org/abs/2509.18764 https://arx…
2025 EERI LFE Travel Study -- Mexico: Lessons in soft soils, subsidence, and site effects
Morgan D. Sanger, Kenny Buyco, Mohammed S. Ibrahim, P. Salvador Ramos, Andres A. Acosta
https://arxiv.org/abs/2510.00390 
💧 Supercritical subsurface fluids open a window into the world
#geology
"All in all, these machine learning models are so good that they’ve almost completely supplanted traditional methods for detecting and phase-picking earthquakes, especially for smaller magnitudes."
"In the last five years, an AI-based workflow has almost completely replaced one of the fundamental tasks in seismology for the better."
(It's not LLMs)
Safe underground carbon storage would only reduce warming by 0.7°C, analysis finds #environment
A Multi-Model Probabilistic Framework for Seismic Risk Assessment and Retrofit Planning of Electric Power Networks
Huangbin Liang, Beatriz Moya, Francisco Chinesta, Eleni Chatzi
https://arxiv.org/abs/2508.07376 
🪇 Engineers shake tallest steel-framed building ever tested on an earthquake simulator
#buildings
Earthquake body wave extraction using sparsity-promoting polarization filtering in the time-frequency domain
Hamzeh Mohammadigheymasi, Bahare Imanibadrbani, Ali Gholami, Ahmad Sadidkhouy
https://arxiv.org/abs/2508.20542 
Do Earthquakes Wake More Slopes Than They Calm?
Ashok Dahal, Hakan Tanya\c{s}, Alexander L. Handwerger, Luigi Lombardo, Eric Fielding
https://arxiv.org/abs/2508.08819 https://…
Robust Beamforming for Magnetic Induction Based Underground Emergency Communications
Jianyu Wang, Tianrui Hou, Wenchi Cheng, Hailin Zhang
https://arxiv.org/abs/2510.03852 https:…
Tidal Triggering of Magnitude 7  Earthquakes by Jupiter
E. W. Holt, Eric Newman
https://arxiv.org/abs/2508.07064 https://arxiv.org/pdf/2508.07064
Multi-Frequency Resonating Based Magnetic Induction Underground Emergency Communications with Diverse Mediums
Jianyu Wang, Zhichao Li, Wenchi Cheng, Wei Zhang, Hailin Zhang
https://arxiv.org/abs/2510.03848 
Global lattice models of a rotating planet -- view on shake, rattle and roll
William E. Barnfield, Alessio Kandiah, Vladimir Frid, Igor B. Movchan, Alexander B. Movchan
https://arxiv.org/abs/2508.16630 
SPIDER: Scalable Probabilistic Inference for Differential Earthquake Relocation
Zachary E. Ross, John D. Wilding, Kamyar Azizzadenesheli, Aitaro Kato
https://arxiv.org/abs/2508.12117 
Replaced article(s) found for physics.geo-ph.  https://arxiv.org/list/physics.geo-ph/new 
[1/1]:
- Revealing Hidden Precursors to Earthquakes via a Stress-Sensitive Transformation of Seismic Noise
  Nader Shakibay Senobari
  
Turbulence in the Geomagnetic Field at Earth Surface
Mingshu Zhao, Xiaoping Zeng, Yunfang Lin
https://arxiv.org/abs/2508.06143 https://arxiv.org/pdf/2508.0…
Role of non-extensivity $q$-parameter in tectonic seismic forecasting
Oscar Sotolongo-Costa, Miguel Eduardo Mora-Ramos
https://arxiv.org/abs/2508.04932 https://
From Local Earthquake Nowcasting to Natural Time Forecasting: A Simple Do-It-Yourself (DIY) Method
John B Rundle, Ian Baughman, Andrea Donnellan, Lisa Grant, Geoffrey Fox
https://arxiv.org/abs/2510.02467