Member Since 2009
Alice-Agnes Gabriel
Associate Professor , Scripps Institution of Oceanography
Member, Bowie Medal Committee; Associate Editor, JGR Solid Earth Section
Professional Experience
Scripps Institution of Oceanography
Associate Professor
2022 - Present
Ludwig Maximilian University of Munich
2021 - 2022
Ludwig Maximilians University of Munich
Assistant Professor
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Education
ETH Zurich (Swiss Federal Institute of Technology)
Doctorate
Honors & Awards
Union Fellow
Received December 2023
James B. Macelwane Medal
Received December 2023
Citation
Understanding earthquakes and quantifying seismic hazard require translating models of source processes into computer simulations and validating those simulations against data to gain confidence in the underlying model. Alice-Agnes Gabriel has emerged as a world leader who is working at the very forefront of this important endeavor.

Alice has pioneered the workflows to perform, if necessary in the immediate aftermath of an earthquake, sophisticated 3D earthquake (and tsunami) simulations. These dynamic source models go well beyond the widely used kinematic source models of fault slip to consider the complex combination of stress and friction conditions required to reproduce the observed behavior. She calibrates and validates the models by comparison with strong motion, crustal deformation and teleseismic waveform data. The collective application of this modeling approach to many recent events — including the 1992 Landers, 2004 Sumatra, 2016 Kaikōura, 2019 Ridgecrest and 2023 Kahramanmaraş earthquakes — provides important insights into earthquake dynamics, strong ground motion and wave propagation. Her work underscores how stress conditions must be just right for ruptures to navigate through complex fault networks and grow into large earthquakes.

To achieve this, Alice and her students developed and made available to the earthquake science community the most powerful open-source dynamic rupture and seismic wave propagation code (SeisSol). This ambitious undertaking involved deep collaborations with applied mathematicians and computer scientists. It also required petascale computing to resolve the small-scale processes within the rupture front and damage zone that are critical to representing fault failure, topography and material heterogeneity that scatter seismic waves, and inelastic yielding processes — all in 3D for hazard-scale earthquakes. A growing number of groups around the world are using SeisSol because of its capabilities and excellent documentation, a testament to Alice’s efforts and vision.

The largest source of uncertainty in dynamic rupture simulations is the selection of initial stresses. Most modelers simply tune the stresses to produce some desired behavior, but Alice’s group integrated multicycle earthquake and geodynamic modeling (spanning thousands to even millions of years) into their workflow. This work informs the long-standing question of the role of splay faults in the subduction fore arc and their role in determining tsunami generation through seafloor uplift.

Through her impressive vision and ambition, Alice-Agnes Gabriel has emerged as perhaps the world’s foremost champion for supercomputing in earthquake science. No less outstanding are her many efforts on behalf of the community. She is an exceptionally worthy recipient of AGU’s Macelwane Medal.

— Eric Dunham
Stanford University
Stanford, California

— Greg Beroza
Stanford University
Stanford, California
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Outstanding Student Presentation Award
Received January 2011

Presentation Title: Macroscopic Source Properties from Dynamic Rupture Styles in Plastic Media

Event: 2011 Fall Meeting

Awarding Section: Seismology

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Publications
The Multi‐Segment Complexity of the 2024 MW ${M}_{W}$ 7.5 Noto Peninsula Earthquake Governs Tsunami ...

The 1 January 2024, moment magnitude MW $\left({M}_{W}\right)$ 7.5 Noto Peninsula earthquake ruptured in complex ways, challenging analysis of its ...

November 04, 2024
AGU Abstracts
Non-linear Inversion of Coseismic Off-fault Plasticity Parameters Using 3D Dynamic Rupture Simulations and Multi-level Delayed Acceptance Markov Chain Monte Carlo Sampling: Application to the 2019 Ridgecrest, CA, Earthquake Sequence
AGU 2024
seismology | 13 december 2024
Zihua Niu, Alice-Agnes Gabriel, Linus Seelinger, M...
Dynamic rupture models predict high-stress concentrations at an earthquake's rupture front, which need to be accommodated by off-fault anelastic proce...
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The Multi-Segment Complexity of the 2024 Mw 7.5 Noto Peninsula Earthquake governs its Tsunami Generation
AGU 2024
natural hazards | 13 december 2024
Fabian Kutschera, Zhe Jia, Bar Oryan, Jeremy Wing ...
The January 1st, 2024, moment magnitude (Mw) 7.5 Noto Peninsula earthquake was the largest earthquake to hit the mainland of Japan since the 2011 Toho...
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Tandem - A 2d/3d HPC-Enabled Volumetric Seismic Cycle Simulation Framework
AGU 2024
seismology | 12 december 2024
Dave May, Alice-Agnes Gabriel, Jeena Yun, Thomas U...
Tandem [1] is a high-performance computing (HPC) simulation framework for studying sequences of earthquakes and aseismic slip (SEAS) in two and three ...
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Volunteer Experience
2018 - 2027
Associate Editor
JGR Solid Earth Section
2024 - 2025
Member
Bowie Medal Committee
2022 - 2022
Fall Meeting Program Representative
Seismology Executive Committee
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