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Member Since 1972
Bill L. Ellsworth
Professor, Stanford University
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Analysis of Physical Mechanisms Contributing to the Spatial Evolution of Induced Earthquake Sequences in Southern Kansas
ADVANCES IN UNDERSTANDING TRIGGERING MECHANISMS OF INDUCED SEISMICITY II POSTER
seismology | 13 december 2024
Rosamiel Ries, Gregory C. Beroza, William L. Ellsw...
We use the Park et al. (2022) earthquake catalog to explore the possible mechanisms driving sequences of injection induced earthquakes in southern Kan...
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How Fast, How Deep, and How Much? — Seismic Sensing of Groundwater Recharge from the 2023 Atmospheric-River Storms
ENVIRONMENTAL SEISMOLOGY: A GEOPHYSICAL TOOL TO STUDY SURFACE AND NEAR-SURFACE PROCESSES IV POSTER
seismology | 10 december 2024
Shujuan Mao, William L. Ellsworth, Yujie Zheng, Gr...
In early 2023, California was struck by intense storms from a series of atmospheric rivers, inflicting extensive damage and hardship on Californians. ...
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Adaptive Coda‐Wave Imaging With Voronoi Tessellation
AMBIENT-FIELD SEISMOLOGY: ADVANCES IN THEORY, METHODOLOGY, AND APPLICATIONS II POSTER
seismology | 10 december 2024
Shujuan Mao, William L. Ellsworth, Gregory C. Bero...
Reconstructions of Green's functions by ambient noise interferometry enable the imaging of the Earth's subsurface. Coda waves from reconstructed Green...
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Accuracy and Precision of Earthquake Location Programs: Insights from a Synthetic Controlled Experiment based on 2019 Ridgecrest Earthquake Sequence
EARTHQUAKE MONITORING AND BEYOND I ORAL
seismology | 09 december 2024
Yifan Yu, William L. Ellsworth, Gregory C. Beroza
Earthquake location programs employ diverse algorithms to address the barriers posed by our incomplete understanding and representation of complex ear...
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Transformer-based joint-station seismological analysis applied to focal-mechanism determination.
ARTIFICIAL INTELLIGENCE IN SOLID EARTH GEOSCIENCE: INNOVATIVE METHODS, DISCOVERIES, AND INSIGHTS I ORAL
seismology | 09 december 2024
Xiaohan Song, Men-Andrin Meier, William L. Ellswor...
Deep learning models have been widely applied in seismological signal processing, including phase picking, signal denoising, polarity determination, a...
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Machine‐Learning‐Based Earthquake Catalog at the Campi Flegrei Caldera (Southern Italy)
EARTHQUAKE MONITORING AND BEYOND II POSTER
seismology | 09 december 2024
Xing Tan, Anna Tramelli, Sergio Gammaldi, Gregory ...
Campi Flegrei is the most populated caldera in the world and is currently in an unrest phase since 2006. This unrest is characterized by a slow uplift...
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A Search for Repeating Earthquakes Among Induced Seismicity in Southern Kansas and Oklahoma
INDUCED AND TRIGGERED EARTHQUAKES: THEORY, OBSERVATIONS, IMPACT III ORAL
seismology | 15 december 2023
Rosamiel Ries, Gregory C. Beroza, William L. Ellsw...
Models of induced earthquakes occurrence posit an important role for aseismic slip. Repeating earthquakes have been used as indicators of aseismic sli...
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Deep learning-based detection of explosions and earthquakes in South Korea
ADVANCEMENTS IN FORENSIC SEISMOLOGY TO IMPROVE MONITORING CAPABILITIES II POSTER
seismology | 15 december 2023
Jeong-Ung Woo, Yongsoo Park, William L. Ellsworth
Accurately discriminating between small explosions and earthquakes remains a challenge in explosion monitoring. While conventional methods like amplit...
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