Member Since 1983
Greg C. Beroza
Professor, Stanford University
Chair, Seismology Leadership Nomination Committee
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
Honors & Awards
Beno Gutenberg Lecture
Received December 2021
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Union Fellow
Received January 2008
Publications
Characterization and Evolution of Seismic Sequences in the Normal Fault Environment of the Southern ...

The use of seismic catalogs enhanced through advanced detection techniques improves the understanding of earthquake processes by illuminating the g...

August 18, 2024
AGU Abstracts
Analysis of Physical Mechanisms Contributing to the Spatial Evolution of Induced Earthquake Sequences in Southern Kansas
AGU 2024
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
AGU 2024
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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Microseismic analysis enhanced by deep learning: A case study from The Geysers geothermal field, California
AGU 2024
seismology | 10 december 2024
Lei Li, Ian W. McBrearty, Xing Tan, Gregory C. Ber...
Induced seismicity monitoring with local and dense arrays has shown great potential for fine-scale fracture/fault characterization, constraining mecha...
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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
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