GB
Member Since 1983
Greg C. Beroza
Professor, Stanford University
My research focus is observational seismology. I use recordings of seismic waves to understand how earthquakes work and to quantify the hazards they pose. My research group is working to develop a better understanding of earthquake scaling, and it's implications for the physics of the earthquake source, and the intensity of strong ground motion. We continue to work on new methods to study tectonic tremor. More recently we have undertaken studies of intermediate-depth earthquakes to understand their mechanism and how it might differ from shallow earthquakes. My research group is also developing improvements to the estimation of Green's function from the ambient seismic field, and using them to construct "virtual earthquakes" that can be used to predict variations in the strength of shaking in real earthquakes.
Professional Experience
Stanford University
Professor
2021 - Present
Stanford University
2012 - Present
Education
Doctorate
1989
Current Roles
Chair
Seismology Leadership Nomination Committee
Honors & Awards
Beno Gutenberg Lecture
Received 2021
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Union Fellow
Received 2008
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Publications
Adaptive Coda‐Wave Imaging With Voronoi Tessellation

Reconstructions of Green's functions by ambient noise interferometry enable the imaging of the Earth's subsurface. Coda waves from reconstructed Gr...

August 18, 2023
AGU Abstracts
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 for Deep Earthquakes: Insights from OBS Observations of the Tonga Subduction Zone
MACHINE LEARNING–DRIVEN ANALYSIS OF GEOPHYSICAL SIGNALS VI ORAL
seismology | 14 december 2023
Ziyi Xi, Songqiao S. Wei, Weiqiang Zhu, Gregory C....
In recent years, many machine-learning algorithms have been developed to detect earthquakes in large seismic archives, but most of these efforts have ...
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Offshore microseismicity in NE Japan constrained by S-net and PhaseNet: insights on the forearc circulation of fluids and interplate coupling
MACHINE LEARNING–DRIVEN ANALYSIS OF GEOPHYSICAL SIGNALS VI ORAL
seismology | 14 december 2023
Naoki Uchida, Rintaro Suzuki, Weiqiang Zhu, Gregor...
The new cabled ocean bottom seismic network (S-net) covering offshore NE Japan provides an opportunity to investigate the nature of shallow subduction...
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Volunteer Experience
2024 - 2025
Chair
Seismology Leadership Nomination Committee
2022 - 2024
Member
Seismology Leadership Nomination Committee
2017 - 2018
Immediate Past President
Seismology Executive Committee
Check out all of Greg C. Beroza’s AGU Research!
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