Search Results - "Meier, Men‐Andrin"
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Machine Learning Seismic Wave Discrimination: Application to Earthquake Early Warning
Published in Geophysical research letters (28-05-2018)“…Performance of earthquake early warning systems suffers from false alerts caused by local impulsive noise from natural or anthropogenic sources. To mitigate…”
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P Wave Arrival Picking and First‐Motion Polarity Determination With Deep Learning
Published in Journal of geophysical research. Solid earth (01-06-2018)“…Determining earthquake hypocenters and focal mechanisms requires precisely measured P wave arrival times and first‐motion polarities. Automated algorithms for…”
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Evidence for universal earthquake rupture initiation behavior
Published in Geophysical research letters (16-08-2016)“…Earthquake onsets provide a unique opportunity to study physical rupture processes because they are more easily observable than later rupture stages. Despite…”
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PhaseLink: A Deep Learning Approach to Seismic Phase Association
Published in Journal of geophysical research. Solid earth (01-01-2019)“…Seismic phase association is a fundamental task in seismology that pertains to linking together phase detections on different sensors that originate from a…”
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The role of Coulomb stress changes for injection-induced seismicity: The Basel enhanced geothermal system
Published in Geophysical research letters (16-01-2013)“…We estimate Coulomb stress variations (ΔCFS) by considering interactions among 163 earthquakes (ML ≤ 3.4) that occurred during the hydraulic stimulation of the…”
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The Limits of Earthquake Early Warning Accuracy and Best Alerting Strategy
Published in Scientific reports (21-02-2019)“…We explore how accurate earthquake early warning (EEW) can be, given our limited ability to forecast expected shaking even if the earthquake source is known…”
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How “good” are real‐time ground motion predictions from Earthquake Early Warning systems?
Published in Journal of geophysical research. Solid earth (01-07-2017)“…Real‐time ground motion alerts, as can be provided by Earthquake Early Warning (EEW) systems, need to be both timely and sufficiently accurate to be useful…”
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Applying Depth Distribution of Seismicity to Determine Thermo-Mechanical Properties of the Seismogenic Crust in Southern California: Comparing Lithotectonic Blocks
Published in Pure and applied geophysics (01-03-2019)“…We analyze waveform-relocated seismicity (1981–2016) and other geophysical and geological datasets from 16 lithotectonic crustal blocks in southern California…”
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Reliable Real‐Time Seismic Signal/Noise Discrimination With Machine Learning
Published in Journal of geophysical research. Solid earth (01-01-2019)“…In earthquake early warning (EEW), every sufficiently impulsive signal is potentially the first evidence for an unfolding large earthquake. More often than…”
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Evolution of seismicity near the southernmost terminus of the San Andreas Fault: Implications of recent earthquake clusters for earthquake risk in southern California
Published in Geophysical research letters (16-02-2017)“…Three earthquake clusters that occurred in the direct vicinity of the southern terminus of the San Andreas Fault (SAF) in 2001, 2009, and 2016 raised…”
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How Often Can Earthquake Early Warning Systems Alert Sites With High‐Intensity Ground Motion?
Published in Journal of geophysical research. Solid earth (01-02-2020)“…Although numerous Earthquake Early Warning (EEW) algorithms have been developed to date, we lack a detailed understanding of how often and under what…”
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The limits of earthquake early warning: Timeliness of ground motion estimates
Published in Science advances (01-03-2018)“…The basic physics of earthquakes is such that strong ground motion cannot be expected from an earthquake unless the earthquake itself is very close or has…”
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MarsQuakeNet: A More Complete Marsquake Catalog Obtained by Deep Learning Techniques
Published in Journal of geophysical research. Planets (01-11-2022)“…NASA's Interior Exploration using Seismic Investigations, Geodesy and Heat Transport (InSight) seismometer has been recording Martian seismicity since early…”
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A comprehensive suite of earthquake catalogues for the 2016-2017 Central Italy seismic sequence
Published in Scientific data (18-11-2022)“…The protracted nature of the 2016-2017 central Italy seismic sequence, with multiple damaging earthquakes spaced over months, presented serious challenges for…”
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Apparent earthquake rupture predictability
Published in Geophysical journal international (01-04-2021)“…SUMMARY To what extent can the future evolution of an ongoing earthquake rupture be predicted? This question of fundamental scientific and practical importance…”
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Latency and geofence testing of wireless emergency alerts intended for the ShakeAlert® earthquake early warning system for the West Coast of the United States of America
Published in Safety science (01-01-2023)“…•Testing the Integrated Public Alerts and Warning System (IPAWS) for its latency and whether it is appropriate for the use of earthquake early warning…”
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Towards a dynamic earthquake risk framework for Switzerland
Published in Natural hazards and earth system sciences (16-02-2024)“…Scientists from different disciplines at ETH Zurich are developing a dynamic, harmonised, and user-centred earthquake risk framework for Switzerland, relying…”
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SAIPy: A Python package for single-station earthquake monitoring using deep learning
Published in Computers & geosciences (01-10-2024)“…Seismology has witnessed significant advancements in recent years with the application of deep learning methods to address a broad range of problems. These…”
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Revisiting Martian seismicity with deep learning-based denoising
Published in Geophysical journal international (24-08-2024)“…SUMMARY The analysis of seismic events recorded by NASA’s InSight seismometer remains challenging, given their commonly low magnitudes and large epicentral…”
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Selection and characterization of the target fault for fluid-induced activation and earthquake rupture experiments
Published in Solid earth (Göttingen) (29-08-2024)“…Performing stimulation experiments at approximately 1 km depth in the Bedretto Underground Laboratory for Geosciences and Geoenergies necessitates identifying…”
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