Supervised machine learning of high rate GNSS velocities for earthquake strong motion signals
Abstract High rate Global Navigation Satellite System (GNSS) processed time series capture
a broad spectrum of earthquake strong motion signals, but experience regular sporadic …
a broad spectrum of earthquake strong motion signals, but experience regular sporadic …
Incorporation of Real‐Time Earthquake Magnitudes Estimated via Peak Ground Displacement Scaling in the ShakeAlert Earthquake Early Warning System
JR Murray, BW Crowell, MH Murray… - Bulletin of the …, 2023 - pubs.geoscienceworld.org
ABSTRACT The United States earthquake early warning (EEW) system, ShakeAlert®,
currently employs two algorithms based on seismic data alone to characterize the …
currently employs two algorithms based on seismic data alone to characterize the …
Validation of peak ground velocities recorded on very-high rate GNSS against NGA-WEST2 ground motion models
Observations of strong ground motion during large earthquakes are generally made with
strong-motion accelerometers. These observations have a critical role in early warning …
strong-motion accelerometers. These observations have a critical role in early warning …
First feasibility demonstration of GNSS-seismology for anthropogenic earthquakes detection
High-rate GNSS has been proven effective in characterising waveforms and co-seismic
displacements due to medium-to-strong natural earthquakes. No application focused on …
displacements due to medium-to-strong natural earthquakes. No application focused on …
A Geodetic‐Based Earthquake Early Warning System for Colombia and Ecuador
Colombia and Ecuador sit at one of the most diverse tectonic regimes in the world, located at
the intersection of five tectonic plates encompassing many geophysical hazard regimes …
the intersection of five tectonic plates encompassing many geophysical hazard regimes …
Assessing seismic displacements and early warning using kinematic PPP with MADOCA real-time products: A case study of 2023 Kahramanmaraş (Türkiye) …
Early warning and emergency hazard response studies in large earthquakes require rapid
and reliable determination of earthquake magnitude. The magnitude of an earthquake can …
and reliable determination of earthquake magnitude. The magnitude of an earthquake can …
Characterizing high rate gnss velocity noise for synthesizing a gnss strong motion learning catalog
Data-driven approaches to identify geophysical signals have proven beneficial in high
dimensional environments where model-driven methods fall short. GNSS offers a source of …
dimensional environments where model-driven methods fall short. GNSS offers a source of …
Real‐Time Seismogeodetic Earthquake Magnitude Estimates for Local Tsunami Warnings
We estimate a seismogeodetic earthquake moment magnitude using unclipped, broadband
velocity and displacement waveforms from collocated Global Navigation Satellite Systems …
velocity and displacement waveforms from collocated Global Navigation Satellite Systems …
Denoising GNSS Velocities for Earthquake Ground Motions with Deep Learning
Distributed measurements of earthquake ground shaking are critical to understanding
seismic processes and hazards. High rate, continuous GNSS reference stations are …
seismic processes and hazards. High rate, continuous GNSS reference stations are …
Towards an Integrated Performance Framework for Fire Science and Management Workflows
Reliable performance metrics are necessary prerequisites to building large-scale end-to-
end integrated workflows for collaborative scientific research, particularly within context of …
end integrated workflows for collaborative scientific research, particularly within context of …