Big data seismology
The discipline of seismology is based on observations of ground motion that are inherently
undersampled in space and time. Our basic understanding of earthquake processes and our …
undersampled in space and time. Our basic understanding of earthquake processes and our …
SMART subsea cables for observing the earth and ocean, mitigating environmental hazards, and supporting the blue economy
The Joint Task Force, Science Monitoring And Reliable Telecommunications (JTF SMART)
Subsea Cables, is working to integrate environmental sensors for ocean bottom …
Subsea Cables, is working to integrate environmental sensors for ocean bottom …
Deep learning for laboratory earthquake prediction and autoregressive forecasting of fault zone stress
Earthquake forecasting and prediction have long and in some cases sordid histories but
recent work has rekindled interest based on advances in early warning, hazard assessment …
recent work has rekindled interest based on advances in early warning, hazard assessment …
Magnitude estimation and ground motion prediction to harness fiber optic distributed acoustic sensing for earthquake early warning
Earthquake early warning (EEW) systems provide seconds to tens of seconds of warning
time before potentially-damaging ground motions are felt. For optimal warning times, seismic …
time before potentially-damaging ground motions are felt. For optimal warning times, seismic …
Performance and next‐generation development of the finite‐fault rupture detector (FinDer) within the United States West Coast ShakeAlert warning system
Rapid fault rupture information is important to estimate seismic ground motions and damage
in large earthquakes, and is, therefore, of great value for earthquake early warning (EEW) …
in large earthquakes, and is, therefore, of great value for earthquake early warning (EEW) …
Cumulative absolute velocity prediction for earthquake early warning with deep learning
Y Wang, Q Zhao, K Qian, Z Wang… - Computer‐Aided Civil …, 2024 - Wiley Online Library
A rapid and accurate estimate of earthquake damage is a key component in a successful
earthquake early warning (EEW) system. The cumulative absolute velocity (CAV) is an …
earthquake early warning (EEW) system. The cumulative absolute velocity (CAV) is an …
Early warning for great earthquakes from characterization of crustal deformation patterns with deep learning
Abstract Although infrequent, large (Mw7. 5+) earthquakes can be extremely damaging and
occur on subduction and intraplate faults worldwide. Earthquake early warning (EEW) …
occur on subduction and intraplate faults worldwide. Earthquake early warning (EEW) …
Peak ground acceleration prediction for on-site earthquake early warning with deep learning
Y Liu, Q Zhao, Y Wang - Scientific reports, 2024 - nature.com
Rapid and accurate prediction of peak ground acceleration (PGA) is an important basis for
determining seismic damage through on-site earthquake early warning (EEW). The current …
determining seismic damage through on-site earthquake early warning (EEW). The current …
DeepShake: Shaking intensity prediction using deep spatiotemporal RNNs for earthquake early warning
We propose a deep spatiotemporal recurrent neural network, DeepShake, to project future
shaking intensity directly from current ground‐motion observations. DeepShake is a network …
shaking intensity directly from current ground‐motion observations. DeepShake is a network …
Status and performance of the ShakeAlert earthquake early warning system: 2019–2023
ABSTRACT The US Geological Survey (USGS)‐operated ShakeAlert® system is the United
States West Coast earthquake early warning system. In this study we detail ShakeAlert's …
States West Coast earthquake early warning system. In this study we detail ShakeAlert's …