Meeting Abstracts

The Statewide California Earthquake Center (SCEC) collaborates with academic, government, industry, and other organizations to advance earthquake science, community resilience, and education by: (1) Gathering and analyzing data from field observations and laboratory experiments. (2) Developing system-level models and simulations of earthquake processes to synthesize knowledge as a physics-based understanding of seismic hazard. (3) Communicating that understanding to expand knowledge and reduce earthquake risk.

SCEC Annual Meeting participants are invited to share recent results and activities relevant to SCEC priorities and initiatives during the poster sessions.

Results 151-200 of 244

SCEC ID	Category	Title and Authors	SCEC Award
Group A Poster 063	Seismology	Exploring uncertainty in moment estimation for small earthquakes using the coda envelope method Anne Patton, Colin Pennington, William Walter, Daniel Trugman Compiling source parameter estimates for small earthquakes is important both for our understanding of earthquake physics and for accurately assessing earthquake hazard. Reliable source parameter estimates are difficult to achieve for small... more Themes: Improving Observations and Closing Data Gaps \| Research Computing
Group B Poster 144	FARM	Enhancing Fault Locking Estimations in the Hayward Fault Using a Metropolis-Hastings Boundary Element Method Axel Periollat, Gareth Funning Modeling the potential seismic hazard posed by faults requires accurate knowledge of where any locked asperities are and how fast the interseismic strain is accumulating on those asperities. Quantifying this strain is crucial for understanding... more Themes: Advanced Modeling Frameworks \| Improving Predictive Analyses of Seismicity
Group B Poster 224	CEM	Brittle-ductile Transition Depth and Depth of Seismicity in Southern California: Agreement in Active Regions but Discrepancy Elsewhere Megan Perry, Laurent Montesi Earthquakes at active continental plate boundaries typically occur at depths less than 12-15 km, possibly linked to a critical temperature or a transition from brittle to ductile behavior. In southern California, earthquake depth varies with... more Themes: Improving Observations and Closing Data Gaps \| Advanced Modeling Frameworks \| Education and Workforce Development	24181
Group B Poster 166	GM	Modeling of ground-motion amplitude saturation at large magnitudes and short distances Camilo Ignacio Pinilla Ramos, Norman Abrahamson, Yehuda Ben-Zion, Chih-Hsuan Sung, Jeff Bayless, Robert Graves As part of the NGA-W3 project, we are developing ground-motion models that include constraints on near field behavior from numerical modeling of ground motions. Current observational datasets of ground motions (e.g., NGA-W2, NGA-W3) are sparsely... more Themes: Advanced Modeling Frameworks
Group A Poster 221	CEM	CFM 7.0: Integration of southern, central, and northern California 3d fault representations into a uniform, statewide Community Fault Model Andreas Plesch, Scott Marshall, John Shaw, Mei-Hui Su, Philip Maechling, Tran Huynh, Edric Pauk We present a new version of the SCEC Community Fault Model (CFM 7.0). The new model focuses on covering California with a statewide scope using uniform guidelines on inventory, fault hierarchy, documentation and model access. This first statewide... more Themes: Advanced Modeling Frameworks	24027, 23120
Group B Poster 054	Seismology	DeepGEM-egf: A Bayesian strategy for joint estimates of Source time functions and Empirical Green's functions Théa Ragon, Angela Gao, Zachary Ross An earthquake record is the convolution of source radiations, path propagation and site effects, and instrument response. Isolating the source component requires solving an ill-posed inverse problem. Whether the inferred instability of source... more Themes: Advanced Modeling Frameworks
Group B Poster 142	FARM	Scaling of Episodic Slow-Slip Events Simulated on Rate-and-State Faults: Effects of data processing and physical parameters Auden Reid-McLaughlin, Nadia Lapusta, Luca Dal Zilio Slow-slip events (SSEs) release significant tectonic strain through aseismic slip and are observed at nearly every subduction zone across the globe. The moment-duration power law scaling for earthquakes and SSEs may reflect their underlying source... more
Group A Poster 165	GM	Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling Pu Ren Predicting high-fidelity ground motions for future earthquakes is crucial for seismic hazard assessment and infrastructure resilience. Conventional empirical simulations suffer from sparse sensor distribution and geographically localized earthquake... more Themes: Improving Observations and Closing Data Gaps \| Advanced Modeling Frameworks \| Research Computing	24123
Group B Poster 024	Seismology	Analysis of physical mechanisms contributing to the spatial evolution of induced earthquake sequences in southern Kansas Rosamiel Ries, Gregory Beroza, William Ellsworth We use the Park et al. (2022) earthquake catalog to explore the possible mechanisms responsible driving swarms of injection induced earthquakes in southern Kansas, particularly the sequence of earthquakes that occurred in Sumner County near Caldwell... more
Group A Poster 073	Geodesy	Updating GNSS data in southern and central California Rigoberto Rincon, Gareth Funning, Karlee Rivera GNSS velocities are used by geophysicists to estimate the amount of elastic strain accumulating on faults, an important input into models of seismic hazard. While there is a large network of continuously operating GNSS stations in central and... more Themes: Improving Observations and Closing Data Gaps
Group A Poster 017	Seismology	Volcano Tectonic & Long Period Event Classification from Eruptions Sadia Marium Rinty, Thomas Goebel The complex geometry and rupture processes during volcanic eruptions produce different types of seismicity e.g., volcano-tectonic (VT), long-period events (LP), tremors, tornillos, and hybrid events. Volcano tectonic events are generated from the... more Themes: Improving Observations and Closing Data Gaps \| Improving Predictive Analyses of Seismicity
Group A Poster 077	Geodesy	Investigating Scaling Relationships of Earthquake Source Parameters using InSAR Karlee Rivera, Gareth Funning Scaling relationships of earthquake source parameters, such as the length and width of the fault rupture, slip, and seismic moment, have strong implications for topics in earthquake physics, such as stress drop and earthquake self-similarity. They... more Themes: Improving Observations and Closing Data Gaps \| Advanced Modeling Frameworks	24178
Group B Poster 042	Seismology	Full Waveform Inversion Tomography of Central and Northern California Arthur Rodgers, Claire Doody We present work-in-progress toward a new tomographic model of the seismic wavespeeds of Central and Northern California derived from full waveform inversion (FWI). Our domain spans the Pacific-North America plate boundary from the creeping section... more Themes: Improving Observations and Closing Data Gaps \| Advanced Modeling Frameworks \| Research Computing
Group A Poster 057	Seismology	Discovering Hidden Earthquakes in the San Francisco Bay Area Using Template Matching Karen Rodriguez, Albert Aguilar, Gregory Beroza The increasing number of seismic sensors is leading to an ever greater data accumulation rate, making it difficult for seismic analysts to manually select and classify seismic events. In this study, we performed Template Matching to the San... more Themes: Improving Observations and Closing Data Gaps \| Improving Predictive Analyses of Seismicity
Group B Poster 128	FARM	Elastic and frictional controls on time-variable slip rates in a two-fault system Alba Rodriguez Padilla, Alexis Saez, Jean-Philippe Avouac, Kyungjae Im, Hojjat Kaveh Paleoseismic data shows that parallel faults can trade-off slip over time, resulting in time-variable slip rates. Previous work has hypothesized that such behavior can emerge from changes in the tectonic loading rate, time-variable fault strength,... more
Group A Poster 001	Seismology	Insights on the dip of fault zones in Southern California from modeling of seismicity with anisotropic point processes Zachary Ross Accurate models of fault zone geometry are important for scientific and hazard applications. While seismicity can provide high-resolution point measurements of fault geometry, extrapolating these measurements to volumes may involve making strong... more Themes: Improving Observations and Closing Data Gaps \| Improving Predictive Analyses of Seismicity
Group B Poster 046	Seismology	Induced Seismicity in Southeastern New Mexico, USA Justin Rubinstein Since 2015, the Permian Basin in southeastern New Mexico and western Texas has experienced a surge in seismicity that is continuing to rise. In 2022 the rate of M3+ earthquakes in the Permian was higher than in California. Most of the seismicity... more Themes: Improving Predictive Analyses of Seismicity
Group A Poster 115	FARM	Physics-informed deep learning of rate-and-state fault friction Cody Rucker, Brittany Erickson Machine learning (ML) excels in the presence of large data and is an actively growing field in seismology. However, not all ML methods incorporate rigorous physics, and purely data-driven models can predict physically unrealistic outcomes due to... more Themes: Advanced Modeling Frameworks \| Improving Predictive Analyses of Seismicity \| Research Computing
Group B Poster 202	EFP	Analysis and Possible Implications of Recent California Earthquakes John Rundle, Lisa Grant Ludwig, Robert Zinke, Andrea Donnellan, Geoffrey Fox On August 6, 2024 a magnitude M5.2 earthquake occurred 24 km southwest of Lamont, CA, north of the intersection of the Garlock fault with the San Andreas fault in the area of the big bend and the transverse ranges. Then, on August 12, 2024, a... more Themes: Advanced Modeling Frameworks \| Improving Predictive Analyses of Seismicity \| Research Computing	24161
Group A Poster 023	Seismology	Improving Velocity Constraints in Sedimentary Basins by Jointly Modeling Receiver Functions and Autocorrelograms Benjamin Sadler, Patricia Persaud, Jay Pulliam Sedimentary basins can amplify the energy of earthquakes. The scale and frequency content of the amplification are related to the basin’s shape, depth, and rock properties, as well as the source-time function and location of the earthquake. Because... more Themes: Improving Observations and Closing Data Gaps \| Research Computing
Group A Poster 161	FARM	Three-dimensional fluid-driven frictional ruptures: theory and applications to injection-induced seismicity Alexis Saez, Brice Lecampion, Jean-Philippe Avouac Fluid-driven frictional ruptures are important in a broad range of subsurface operations where borehole fluid injections can induce both aseismic and seismic frictional slip. Some examples of these operations are deep geothermal energy, CO2 and... more Themes: Advanced Modeling Frameworks \| Improving Predictive Analyses of Seismicity \| Applied Science Implementation
Group B Poster 040	Seismology	Impact of a century of reservoir operations on fault stability at the Wilmington Field, CA Lluis Salo-Salgado, Josimar Silva, Julia Mansfield, Andreas Plesch, John Shaw, Ruben Juanes Previous experience with fluid injection and production has exposed the hazard of induced seismicity, which can compromise the integrity of subsurface reservoirs and lead to economic and human loss. Managing this hazard is even more important in... more Themes: Advanced Modeling Frameworks \| Improving Predictive Analyses of Seismicity
Group A Poster 081	Geodesy	California InSAR time-series updates derived from sample OPERA DISP-S1 products: developments for ingestion and ongoing analysis from a new archive of open-source interferometric products Simran Sangha, Gareth Funning, Marin Govorcin, David Bekaert A range of studies employing Interferometric Synthetic Aperture Radar (InSAR) data to solve for interseismic deformation rates have highlighted the importance of using interferogram pairs with short spatial and temporal baselines as a means of... more Themes: Improving Observations and Closing Data Gaps \| Research Computing	24081, 24074
Group A Poster 197	CCB	Developing Consensus-Based Post-Earthquake Messaging for use by News Media Bryan Sarabia, Mark Benthien, Gabriela Noriega A major earthquake in California will leave millions of people shaken, injured or displaced, and one of the voices of authority amidst the chaos will be news media outlets. While the public will rely on the news for pertinent information, past... more Themes: Education and Workforce Development \| Outreach and Community Engagement
Group A Poster 025	Seismology	Earthquake earthquake early warning considerations during aftershock sequences Jessie Saunders, Allen Husker We analyze earthquake catalog information for several recent large-magnitude global earthquakes to evaluate how frequently earthquake early warning (EEW) alerts could be issued during aftershock sequences using the current alerting strategies for... more Themes: Applied Science Implementation
Talk Tue1400	Geology	Finding Earthquakes in the Rock Record Heather Savage During earthquakes, faults heat up due to frictional resistance. Sometimes, the temperature rise during earthquakes makes the rocks hot enough to melt. However, solidified frictional melt (pseudotachylyte) is not very common in the rock record, and... more Themes: Improving Observations and Closing Data Gaps
Group A Poster 095	Geology	Removing Bias and Retaining Resolution for Paleoearthquake Dates Corrected by Inherited Age Katherine Scharer, Glenn Biasi, Devin McPhillips, Matthew Kirby Paleoseismic event chronologies are typically developed from radiocarbon dates on detrital organic material. These dates include bias known as the inherited age, which encompasses the time between carbon fixation in the plant and deposition of the... more Themes: Improving Observations and Closing Data Gaps \| Applied Science Implementation
Group B Poster 196	EFP	Prototyping Aftershock Forecast Maps and Products Based on User Needs Max Schneider, Bianca Artigas After large earthquakes, aftershock forecasts are released by science agencies and can inform decisions on earthquake response and recovery by diverse users (e.g., emergency managers, critical infrastructure operators, and public information... more Themes: Improving Predictive Analyses of Seismicity \| Applied Science Implementation \| Outreach and Community Engagement
Group B Poster 036	Seismology	Fault imaging past the brittle-ductile transition: Relationship between fault fabric and maturity from anisotropic receiver function analysis of the San Andreas plate boundary system Vera Schulte-Pelkum, Debi Kilb, Thorsten Becker We use conversions from anisotropic contrasts observed in receiver functions at dense fault-crossing seismic networks to image fault-related fabric within the San Andreas Plate Boundary system. The method is sensitive to the depth of a contrast in... more Themes: Improving Observations and Closing Data Gaps \| Developing Rheologies and Bridging Multi-Scales	24141, 22073, 21098, 19096
Group A Poster 111	Geology	Topographic metrics and landform classification along the Calaveras fault zone from high resolution 3DEP topography Madeline Schwarz, Celina Driver, Malinda Zuckerman, Ramon Arrowsmith, Chelsea Scott The Calaveras fault zone exhibits active faulting, landsliding, fluvial modification, and anthropogenic activity. This geomorphology poses a challenge to both human mappers and automatic mapping approaches in identifying and mapping fault traces.... more Themes: Improving Observations and Closing Data Gaps
Group A Poster 107	Geology	Tectonic landform and lithologic age impact uncertainties in fault displacement hazard models Chelsea Scott, Albert Kottke, Christopher Madugo, Ramon Arrowsmith, Rachel Adam, Malinda Zuckerman Tectonic landforms and surficial lithologic age are essential data for producing high-quality late Quaternary fault maps and predicting coseismic fault rupture location before an earthquake. However, there is a lack of a clear understanding of the... more Themes: Applied Science Implementation
Group B Poster 200	EFP	Exploring new statistical metrics to evaluate the magnitude distribution of earthquake forecasting models Francesco Serafini, Mark Naylor, Maximilian Werner, Leila Mizrahi, Marta Han, Kirsty Bayliss, Pablo Iturrieta, José Bayona Evaluating earthquake forecasts is a crucial step in understanding and improving the capabilities of forecasting models. The use of specific metrics to assess the consistency between forecasts and data on one particular aspect of the process is... more Themes: Improving Predictive Analyses of Seismicity
Group A Poster 167	GM	Application for CVMs for NGA-West3 Project Rashid Shams, Sajan K C, Tristan Buckreis, Scott Brandenberg, Jonathan Stewart, Chukwuebuka Nweke The Next Generation Attenuation (NGA)-West3 project aims to produce a robust database (Buckreis et al. 2024) that will facilitate the development of state-of-the-art ground motion models (GMMs). These GMMs will provide improved characterization of... more Themes: Improving Observations and Closing Data Gaps \| Advanced Modeling Frameworks \| Outreach and Community Engagement
Group A Poster 121	FARM	MakeQuake: Developing Validation and Model Intercomparison Tools for Earthquake Simulators Bruce Shaw A fundamental goal of earthquake simulators is to develop models that can produce synthetic data that can pass the "Turing Test" of being indistinguishable from real earthquakes. Matching not just one type of data, but a whole suite of... more Themes: Advanced Modeling Frameworks \| Improving Predictive Analyses of Seismicity \| Research Computing
Group B Poster 020	Seismology	Implications of a reverse polarity earthquake pair on fault friction and stress heterogeneity near Ridgecrest, California Peter Shearer, Nader Senobari, Yuri Fialko Earthquake focal mechanisms are estimated from seismic observations and provide valuable information on fault geometry and crustal stress orientation at depth. Most focal mechanisms are spatially correlated, that is, mechanisms tend to be similar... more
Group B Poster 080	Geodesy	GNSS and InSAR integration for 3-D crustal deformation of California and western Nevada Zheng-Kang Shen, Zhen Liu We develop a method to integrate observations of Global Navigation Satellite System (GNSS) and Interferometric Synthetic Aperture Radar (InSAR) for the investigation of crustal deformation associated with tectonic and hydrologic activities. This... more Themes: Improving Observations and Closing Data Gaps \| Advanced Modeling Frameworks \| Improving Predictive Analyses of Seismicity	24115
Group A Poster 205	EFP	Mechanical correlation of seismic activity in North China and its implications for future seismic risk Fuqiang Shi, Hui Zhang, Zhigang Shao, Jing Xu, Huicheng Shao, Yujiang Li, Lingyun Ji, Haidong Zhang North China is one of the regions in China with frequent strong earthquakes. According to historical records, it have been attacked by a series of extremely earthquakes, such as the 1303 Hongdong M≈8, 1556 Huaxian M＞8 and 1976 Tangshan M=7.8... more Themes: Developing Rheologies and Bridging Multi-Scales \| Improving Predictive Analyses of Seismicity
Group B Poster 014	Seismology	Application of Spatial Point Process Theory to Probe Fault Zone Properties Rajani Shrestha, Zachary Ross Fault zones are three-dimensional features with multiple slip surfaces. Fault zone architecture influences rupture dynamics and is important for seismic hazard assessment. Analysis of spatial patterns of seismicity provides valuable information... more Themes: Improving Observations and Closing Data Gaps
Group A Poster 215	EFP	Next-day CSEP forecasts: Establishing a Benchmark Fabio Silva, Francesco Serafini, José Bayona, Maximilian Werner, Philip Maechling, Kevin Milner, William Savran Seismicity forecasting models are now routinely used for Operational Earthquake Forecasting (OEF) operations by institutions and state agencies. They provide information on the spatio-temporal evolution of seismicity and increase awareness to... more Themes: Improving Predictive Analyses of Seismicity
Group A Poster 041	Seismology	pySATSI: A Python package for computing stress tensor inversions Rob Skoumal, Jeanne Hardebeck, Andrew Michael We introduce a Python package for computing focal mechanism stress inversions. This algorithm is based on the Spatial And Temporal Stress Inversion (SATSI) algorithm, originally written in C and Perl, with improvements to the capabilities,... more Themes: Improving Observations and Closing Data Gaps
Group A Poster 117	FARM	Coseismic rock pulverization inhibited by exhumation of mechanically anisotropic rock: Insights from Ridgecrest, California Zachary Smith, Roland Bürgmann, William Griffith, Johanna Nevitt, Francis Waligora, Kathryn Materna During dynamic rupture along faults, high stress and strain-rate loading can produce pulverized rock in the near field (<100-300 m from the fault). Fault rock pulverization has largely been observed within mechanically isotropic rocks including... more Themes: Improving Observations and Closing Data Gaps \| Developing Rheologies and Bridging Multi-Scales \| Improving Predictive Analyses of Seismicity	23045
Group B Poster 038	Seismology	Challenges in Source Parameter Estimation: Insights from the 2017 Pohang Earthquake and Its Aftershocks Minkyung Son, Esteban Chaves, Chang Soo Cho The 2017 Pohang earthquake (Mw 5.4), the second-largest instrumentally recorded event in the Korean Peninsula, occurred near fluid injection points. To better understand its rupture processes, we estimated corner frequency, rupture radius, and... more Themes: Improving Observations and Closing Data Gaps
Group B Poster 180	GM	Exploring earthquake source and ground motion characteristics in the framework of 1-point and 2-point statistics, focusing on the inter-frequency correlation of ground motions Seok Goo Song, Jeff Bayless Understanding near-fault ground motion characteristics is a crucial element for advanced seismic hazard assessment. Physics-based seismic modeling has become popular to simulate 3-component full-phase ground motions, especially in the near-source... more Themes: Advanced Modeling Frameworks
Group A Poster 031	Seismology	Transformer-based joint-station seismological analysis applied to focal-mechanism determination. Xiaohan Song, Men-Andrin Meier, William Ellsworth, Gregory Beroza Deep learning models have been widely applied in seismological signal processing, including phase picking, signal denoising, polarity determination, and phase association. But when it comes to the tasks to process phase information across a station... more Themes: Improving Observations and Closing Data Gaps \| Research Computing
Group A Poster 123	FARM	Precursory Locking Precedes Slip Events on Laboratory Fault: Untangling the relative roles of history and geometry in governing the next earthquake Will Steinhardt, Emily Brodsky Earthquake nucleation is influenced by geometry and slip history. Untangling the role of each can be difficult, especially given the limited observations and long recurrence times of natural faults. Here we use a novel experimental fault made of... more Themes: Improving Predictive Analyses of Seismicity
Group A Poster 171	GM	Overview of the NGA-West3 Ground Motion Database Jonathan Stewart, Tristan Buckreis, Rashid Shams, Shako Mohammed, Li Meibai, Tadahiro Kishida, Giovanni Lanzano, Lucia Luzi, Paolo Zimmaro, Brendon Bradley, Jyun-Yan Huang, Chukwuebuka Nweke, Scott Brandenberg, Jennifer Donahue, Yousef Bozorgnia The Next Generation Attenuation (NGA)-West3 project database builds upon that of NGA-West2 for shallow crustal earthquakes in active tectonic regimes to provide a robust dataset to develop the next iteration of NGA ground motion models (GMMs).... more Themes: Improving Observations and Closing Data Gaps \| Advanced Modeling Frameworks \| Applied Science Implementation
Group B Poster 212	EFP	EarthquakeNPP: Benchmark Datasets for Earthquake Forecasting with Neural Point Processes Sam Stockman, Daniel Lawson, Maximilian Werner Classical point process models, such as the epidemic-type aftershock sequence (ETAS) model, have been widely used for forecasting the event times and locations of earthquakes for decades. Recent advances have led to Neural Point Processes (NPPs),... more Themes: Advanced Modeling Frameworks \| Improving Predictive Analyses of Seismicity
Group B Poster 174	GM	Coupling of simulated directivity and basin effects during large earthquakes in Washington State’s Puget Sound region Ian Stone, Erin Moriarity, Alex Grant, Arthur Frankel Sedimentary basins in the Puget Sound have shown a propensity for strong shaking amplification during large earthquakes. Using waveform simulations that account for 3-D basin structure, we can explore these effects, as well as their interactions... more Themes: Advanced Modeling Frameworks \| Applied Science Implementation \| Research Computing
Group A Poster 043	Seismology	Crustal anisotropy in the Walker Lane and Eastern California Shear Zone from Ps Receiver Functions Ashley Stroup, Heather Ford The plate boundary between the North American plate and the Pacific plate consists of an expansive network of faults. One region critical for accommodating transform motion is the Walker Lane and Eastern California Shear Zone (WL-ECSZ), which... more Themes: Improving Observations and Closing Data Gaps \| Developing Rheologies and Bridging Multi-Scales \| Advanced Modeling Frameworks
Group B Poster 136	FARM	Back-propagating Earthquakes on a Simple Fault Yudong Sun, Camilla Cattania Back-propagating earthquakes, characterized by their reversal through previously ruptured regions, have been observed across diverse geological settings with the advancement of seismic measurements. Previous studies have proposed that fault... more Themes: Advanced Modeling Frameworks

The Statewide California Earthquake Center is committed to providing a safe, productive, and welcoming environment for all participants. We take pride in fostering a diverse and inclusive SCEC community, and therefore expect all participants to abide by the SCEC Activities Code of Conduct.

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