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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.

Participants are invited to present recent work aligned with SCEC priorities during the poster sessions.


  
  
  
  

A SCEC username is required to submit an abstract.

The person submitting the abstract is automatically the First Author, and will receive all communications regarding the abstract.

A First Author can have a maximum of one poster and one oral presentation (if invited as a plenary speaker).

Each "poster space" in the online gallery will include general poster information, author contact information, and a PDF of the poster, as well as optional short videos about the poster.

First Authors of accepted abstracts will receive more detailed instructions.

During the meeting, posters are presented in two groups:
A (Sunday/Monday), and B (Monday/Tuesday). See the SCEC2025 agenda and FAQ for more details.

Results 1-50 of 291
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SCEC ID Category Title and Authors SCEC Award
Group B
Poster
210
EFP Enhanced Detection of P-wave onset: A Novel Algorithm for Accurate P-Wave Picking
Sandeep .
Globally, Earthquake Early Warning (EEW) system function as a national disaster mitigation technique for seismically active countries. Accuracy in P-wave picking being one of the major hurdles in EEW system for providing timely alerts in different... more

Themes: Improving Predictive Analyses of Seismicity


Group A
Poster
221
GM Assessing consistency of ground-motion models with recorded data – a case study from Puerto Rico and the U.S. Virgin Islands
Brad Aagaard, Morgan Moschetti, Kyle Withers
For the U.S. Geological Survey (USGS) National Seismic Hazard Model, we require a suite of ground-motion models that span the geographic extent of the National Seismic Hazard Model, which includes 50 states and five territories. In each region, we... more

Themes: Improving Observations and Closing Data Gaps | Applied Science Implementation


Group B
Poster
230
GM Ground motion characteristics of idealized supershear ruptures: Do they matter for engineering applications?
Mohamed Abdelmeguid, Grigorios Lavrentiadis, Ares Rosakis, Domniki Asimaki
We study ground motion characteristics of supershear earthquake ruptures, where the rupture velocity exceeds the shear wave speed. Using dynamic rupture simulations, we compare supershear and subshear ruptures to identify similarities and... more

Themes: Improving Observations and Closing Data Gaps | Advanced Modeling Frameworks


Group A
Poster
233
GM The digital archivist: Automating legacy macroseismic data processing using large language models
Aarnav Agrawal, Susan Hough, S. Mostafa Mousavi, Khant Nyi Hlaing, Clara Yoon, Salvador Blanco
Macroseismic data are a key resource to investigate shaking and damage from pre-instrumental and pre-digital eras. However, data are often stored as inconsistently-formatted reports describing observed shaking and damage, making manually parsing and... more

Themes: Improving Observations and Closing Data Gaps | Applied Science Implementation | Research Computing & Cyberinfrastructure


Group B
Poster
132
Geology Unraveling the Temporal Dynamics of Channel Incision in the Carrizo Plain: Implications for Seismic Hazard Assessment
Sinan Akciz, Nathan Brown
New high-resolution topographic data sets make geomorphic methods increasingly attractive for hazard analysis globally. Plots that show the distribution of displaced geomorphological features along the strike of a fault are commonly used to infer... more

Themes: Improving Observations and Closing Data Gaps

19170
Group B
Poster
170
FARM Non-planar 3D fault models from earthquake hypocenters
Travis Alongi, Robert Skoumal, David Shelly, Alex Hatem
Accurately characterizing three-dimensional (3D) fault geometry is vital for improving our understanding of earthquake behavior and informing the development of seismic hazard models. Despite their importance, subsurface fault structures tend to be... more

Themes: Improving Observations and Closing Data Gaps | Applied Science Implementation


Group A
Poster
059
Geodesy The 2025 Mw7.7 Mandalay, Myanmar, earthquake: extremely long and uniform rupture part of a fault supercycle
Solène Antoine, Rajani Shrestha, Chris Milliner, Kyungjae Im, Chris Rollins, Kang Wang, Kejie Chen, Jean-Philippe Avouac
Large earthquakes often occur on faults that were known to have produced destructive events in the past. The 2025 Mw7.7 Mandalay earthquake is no exception as it ruptured a known seismicity gap along the Sagaing fault. Remote sensing observations of... more

Themes: Improving Observations and Closing Data Gaps | Advanced Modeling Frameworks | Improving Predictive Analyses of Seismicity

25232
Group B
Poster
224
GM Distance-dependent spatial correlation modeling of within-event ground-motion residuals using a graph-based generative approach
Tariq Anwar Aquib, Paul Mai
Accurate simulation of spatially distributed ground motions is essential for regional seismic risk assessment of spatially distributed infrastructure. While site specific ground-motion models predict shaking intensity at individual locations, they... more

Themes: Advanced Modeling Frameworks | Improving Predictive Analyses of Seismicity | Research Computing & Cyberinfrastructure


Group A
Poster
129
FARM The interplay between fault fabric and frictional healing in altered serpentinite-rich fault gouge
Emma Armstrong, Monica Barbery, Alexis Ault, Greg Hirth, Srisharan Shreedharan, Ainsley MacDonald
Creep or aseismic deformation influences earthquake behavior and modulates stress on faults. Fault creep may be controlled by frictional properties such as healing and/or fabric development. In the brittle portion of fault zones, fabric develops by... more

Themes: Developing Rheologies and Bridging Multi-Scales

24119
Group A
Poster
117
Geology From Field to Simulation: 3D Segmentation of Precariously Balanced Rocks and Dynamic Simulation of Their Response to Earthquake Ground Motions
Ramon Arrowsmith, Zhiang Chen, Deep Rodge, Akshay Mahalle, M. Khalid Saifullah, Jnaneshwar Das, Christine Wittich, Albert Kottke, Christopher Madugo
Precariously balanced rocks (PBRs) provide natural geological indicators for constraining the upper bounds of earthquake ground motions over long timescales. We present an unified workflow that combines high-resolution 3D mapping, point cloud... more

Themes: Improving Observations and Closing Data Gaps | Advanced Modeling Frameworks | Applied Science Implementation


Group B
Poster
234
GM Modeling Nonergodic Ground Motions using a Graph Neural Network
Eduardo Arzabala, Kyle Withers, Morgan Moschetti, Tim Clements, Ian McBrearty
We use a deep learning approach, specifically Graph Neural Networks (GNNs), to develop a non-ergodic ground-motion model (GMM) from CyberShake. Unlike ergodic GMMs, non-ergodic GMMs require region-specific data or simulations for calibration. We use... more

Themes: Advanced Modeling Frameworks


Group A
Poster
033
Seismology Fiber-Imaged Supershear Dynamics in the 2024 Mw7 Mendocino Fault Earthquake
James Atterholt, Jeff McGuire, Andrew Barbour, Connie Stewart, Morgan Moschetti
Fault structure and rupture physics are deeply intertwined, and observations of this coupling are critical for understanding earthquake behavior. Rupture propagation is observable at fine scales using dense seismic networks. Fiber-optic sensing... more

Themes: Improving Observations and Closing Data Gaps


Talk
Tue1400
FARM Do fault material properties and rheology govern shallow slip behavior in strike-slip fault systems?
Alexis Ault
What governs whether a fault creeps, produces slow slip events, or ruptures catastrophically? Modern geodetic and geophysical methods now capture on- and off-fault deformation throughout the earthquake cycle in unprecedented spatiotemporal detail.... more

Themes: Improving Observations and Closing Data Gaps | Developing Rheologies and Bridging Multi-Scales

24119, 23081, 22082
Group B
Poster
140
FARM Linking near-surface material behavior to strike-slip surface rupture patterns and shear zone width with discrete element modeling
Curtis Baden, Josie Nevitt, Fernando Garcia
Surface-rupturing strike-slip earthquakes often produce complex deformation zones that host through-going shear bands, echelon fractures, and extensional or contractional structures near the fault trace. These inelastic features influence the... more

Themes: Developing Rheologies and Bridging Multi-Scales | Advanced Modeling Frameworks


Group A
Poster
021
Seismology Variability and reliability of stress drops from the SCEC/USGS Community Stress Drop Validation Project
Annemarie Baltay, Rachel Abercrombie
The international USGS/SCEC Community Stress Drop Validation Study provides insight on the variability and reliability of spectral stress drop estimates which should be considered in application and interpretation of earthquake stress drop estimates... more

Themes: Improving Observations and Closing Data Gaps | Education and Workforce Development

25134, 24067, 23108, 23107, 22101, 22042
Group A
Poster
083
Geodesy Updating GNSS measurements of postseismic deformation after the 2019 Ridgecrest earthquake sequence and site positions in the central Mojave Desert
Katie Baraggiotta, Gareth Funning, Karlee Rivera
We conducted Global Navigation Satellite Systems (GNSS) survey campaigns two target areas with distinct objectives. In the central Mojave Desert along the Garlock and Blackwater faults, we refined GNSS velocities and increased spatial data density... more

Themes: Improving Observations and Closing Data Gaps | Developing Rheologies and Bridging Multi-Scales | Improving Predictive Analyses of Seismicity

25325
Group B
Poster
052
Seismology Enhancing Seismic Event Association: Leveraging Signal Similarity and Correlation Detection with Machine Learning
Louisa Barama, Ana Aguiar, Moira Pyle
Association remains a challenging step in seismic monitoring due to the presence of signals from multiple seismic sources and high rates of false detections caused by natural and anthropogenic noise. The complexity increases further in regions with... more

Themes: Improving Observations and Closing Data Gaps


Group B
Poster
190
FARM Assessing the role of roughness on the frictional strength of faults and frictional weakening by thermal pressurization
Monica Barbery, Terry Tullis
Characterizing the frictional behavior of faults at earthquake conditions remains an important, critical problem. Fault roughness is well established over a wide range of length scales, but the effects of roughness on the frictional strength of... more

Themes: Developing Rheologies and Bridging Multi-Scales


Group B
Poster
138
FARM Frictional behavior of partially water-saturated phyllosilicate-bearing gouge of mixed composition
Sylvain Barbot
Phyllosilicates form an important group of silicate minerals characterized by a polymeric layered structure that results in unique hydro-mechanical properties. These sheet silicates exhibit distinct frictional behaviors in dry versus water-saturated... more

Themes: Developing Rheologies and Bridging Multi-Scales


Group B
Poster
082
Geodesy Intra-Frame Deformation Model for the Western U.S. versus the epoch-date subnetwork approach
Aubrey Bennett, Yehuda Bock, Lavoisiane Ferreira, Peng Fang, Zhen Liu, Angelyn Moore, Joe Roberts, Roland Hohensinn, David Sandwell
We report on a dynamic intra-frame deformation model (IFDM) for the Western U.S. that separates the interseismic and transient motions (e.g., coseismic, postseismic, slow slip, subsidence) into three-dimensional weekly cumulative displacement grids... more

Themes: Advanced Modeling Frameworks


Talk
Tue0800
RC Toward Trustworthy AI for Earth Science: Lessons from Climate Modeling and a Vision for Earthquake Science
Karianne Bergen
Machine learning (ML) is reshaping Earth science, offering new ways to extract information from data and simulate complex physical systems. In earthquake science, ML has significantly enhanced our ability to build high-resolution seismic catalogs... more

Themes: Research Computing & Cyberinfrastructure


Group A
Poster
149
FARM Elastic stress transfer from seismic slip and fluid pressure diffusion as primary mechanisms controlling slip front expansion in fluid-driven swarm seismicity
Natalia Berrios-Rivera, So Ozawa, Eric Dunham
Observations of fluid-driven swarm seismicity expanding with the same diffusive space-time behavior as analytical solutions for aseismic slip have been interpreted as evidence that stress changes from aseismic slip trigger seismic slip. In some... more

Themes: Advanced Modeling Frameworks

24187
Group B
Poster
302
RC New Seismic Hazard Research Capabilities and Software Improvements in OpenSHA v25.4
Akash Bhatthal, Philip Maechling
Over the past year, our research collaboration, including SCEC and USGS scientists and software developers, has made significant progress in enhancing SCEC’s computational tools and workflows to support the research community through the release of... more

Themes: Research Computing & Cyberinfrastructure

25286
Group B
Poster
122
Geology Progress in modeling inherited age effects of charcoal on paleoseismic dates at Pallett Creek on the San Andreas fault
Glenn Biasi, Devin McPhillips, Katherine Scharer
Paleoearthquake dates at the Pallett Creek paleoseismic site depend on radiocarbon date estimates of charcoal fragments embedded in stratigraphic layers of interest. Dates from detrital samples have an inherited age, the time between fixing the... more

Themes: Improving Observations and Closing Data Gaps


Group B
Poster
332
CEM Assessing tomographic capabilities of distributed acoustic sensing data near the Mendocino Triple Junction
Ettore Biondi, James Atterholt, Eli Bird, Jeff McGuire, Andrew Barbour
In recent years, distributed acoustic sensing (DAS) has emerged as an effective tool for seismological applications, with its use rapidly expanding. The global growth of fiber infrastructure provides an ideal framework for enhancing continuous... more

Themes: Improving Observations and Closing Data Gaps | Developing Rheologies and Bridging Multi-Scales | Research Computing & Cyberinfrastructure

25189
Group A
Poster
037
Seismology Eikonal Travel-time Tomography of the Los Angeles Basin
Eli Bird, Ettore Biondi, Robert Clayton, Zhongwen Zhan
While great strides have been made in earth imaging through full-waveform inversion, such models remain computationally expensive. This can be limiting, particularly as one approaches high frequency data, and as such there is still value in... more

Group A
Poster
315
ASI The NEHRP post-earthquake investigations program
Michael Blanpied
Post-earthquake scientific and engineering investigations are undertaken to capture critical information to understand the causes and impacts of the event, lessons from which can substantially improve resilience after future earthquakes. The four-... more

Themes: Improving Observations and Closing Data Gaps | Applied Science Implementation | Outreach and Community Engagement


Group B
Poster
174
FARM Comparing rupture behavior of the Mojave segment in two community fault models using a 3D fully dynamic earthquake simulator
Hasti Bordbar, Benchun Duan, Qingjun Meng, Zhi Shang, Zizhuang Tang
Understanding the influence of fault geometry on earthquake rupture propagation is critical for improving seismic hazard assessments in tectonically active regions. In this study, we employ EQdyna, a three-dimensional, fully dynamic earthquake... more

Themes: Advanced Modeling Frameworks | Improving Predictive Analyses of Seismicity


Group A
Poster
223
GM Extending Kinematic Rupture Generators to Multisegment Geometries
Brendon Bradley, Jake Faulkner
Kinematic rupture generators are an essential component of simulation-based ground motion prediction used in probabilistic seismic hazard analysis, such as CyberShake. One important limitation of such simulation-based ground motion predictions to... more

Themes: Advanced Modeling Frameworks | Applied Science Implementation | Research Computing & Cyberinfrastructure


Group A
Poster
229
GM Update on the California Strong Motion Instrumentation Program’s Progress toward Real Time Data Acquisition and Development of Engineering Related Applications
Dave Branum, Hamid Haddadi
The California Strong Motion Instrumentation Program (CSMIP) network, comprising over 1350 seismic stations, has traditionally operated as a triggered system, where segments of strong motion data are sent into the CSMIP server only when shaking at a... more

Themes: Improving Observations and Closing Data Gaps


Group A
Poster
137
FARM The Effects of Bulk Friction and Cohesion in 2D Dynamic Models of the 1971 San Fernando Earthquake
Guadalupe Bravo, David Oglesby, Elyse Gaudreau, Gareth Funning, Edwin Nissen, James Hollingsworth
Deformation in an earthquake is often partitioned between slip on the fault and off-fault processes. Significant off-fault deformation was measured for the 1971 Mw 6.6 San Fernando Earthquake, where the steeply dipping Sylmar fault segment, which... more

Themes: Developing Rheologies and Bridging Multi-Scales

23189, 22141
Group A
Poster
123
Geology AI-ready, multi-modal dataset of offset landforms along the Carrizo segment of the San Andreas fault
Cassandra Brigham, Chelsea Scott, Ramon Arrowsmith, Samuel Johnstone
Accurately mapped landforms and reconstructed offsets are critical for understanding fault-slip history and earthquake recurrence along strike-slip faults. Analysis of offset landforms from high-resolution topography and satellite imagery broadens... more

Themes: Improving Observations and Closing Data Gaps | Advanced Modeling Frameworks | Research Computing & Cyberinfrastructure

25288
Group B
Poster
336
CEM Continuous Maps of z1.0 and z2.5 for California from Integrated Data Sources to Support Site Response Modeling
Tristan Buckreis, Rashid Shams, Chukwuebuka Nweke, Scott Brandenberg, Jonathan Stewart
Community Velocity Models (CVMs) are 3D representations of subsurface seismic velocity structure. Although originally developed to support simulation models, CVMs are commonly used in ground motion model development as well. Specifically, they are... more

Themes: Applied Science Implementation


Group A
Poster
241
GM CyberShake Study 24.8 PSHA Model for Northern California
Scott Callaghan, Philip Maechling, Robert Graves, Kim Olsen, Xiaofeng Meng, Mei-Hui Su, Morgan Moschetti, Albert Kottke, Camilo Ignacio Pinilla Ramos, Kevin Milner, Fabio Silva, Akash Bhatthal, Karan Vahi, Ewa Deelman, Yifeng Cui, Norman Abrahamson, Yehuda Ben-Zion
The SCEC CyberShake platform implements a repeatable scientific workflow to perform 3D physics-based probabilistic seismic hazard analysis (PSHA). Earlier this year we calculated CyberShake Study 24.8 for the San Francisco Bay Area. Study 24.8... more

Themes: Advanced Modeling Frameworks | Research Computing & Cyberinfrastructure


Group B
Poster
066
Geodesy Disentangling on-fault and off-fault contributions to geodetic strain rates in California
Nicolas Castro Perdomo, Kaj Johnson
Disentangling on-fault and off-fault contributions to geodetic strain rates is fundamental for earthquake hazard assessment but remains challenging. Here, we present a method that jointly estimates slip deficit rates on 3D faults and distributed... more

Themes: Advanced Modeling Frameworks


Talk
Mon0800
FARM Heterogeneous high frequency seismic radiation from dynamic rupture interactions with a normal stress bump
Sara Beth Cebry
Fault geometric heterogeneities of varying scale, such as roughness, stepovers, or other irregularities influence dynamic rupture and the spectra of radiated seismic waves. To investigate the effect of normal stress heterogeneity on dynamic rupture... more

Themes: Developing Rheologies and Bridging Multi-Scales


Group B
Poster
206
EFP Improving Real-Time Forecasts of Induced Seismicity Through Machine Learning-Based Event Classification with an Attention-Enhanced U-Net Architecture
Avigyan Chatterjee, Qingkai Kong, Kayla Kroll, Chengping Chai , Paul Friberg, Alex Dzubay, Jeffrey Liefer, Scott Fertig, Josh Stachnik
Accurate and rapid classification of seismic events is essential for real-time monitoring and informed decision-making in subsurface industrial operations. In this project, we advance seismic event classification by developing a robust machine... more

Themes: Improving Observations and Closing Data Gaps | Improving Predictive Analyses of Seismicity | Research Computing & Cyberinfrastructure


Group A
Poster
145
FARM Modeling slip on rate-and-state faults induced by off-fault fluid injection
William Chen, Nadia Lapusta, Xiaojing (Ruby) Fu
Elevated pore fluid pressures due to fluid injection in the subsurface can induce both seismic and aseismic slip on faults. The spatial and temporal variations in pore fluid pressures experienced by the fault are in turn determined by the nature of... more

Themes: Advanced Modeling Frameworks


Group A
Poster
155
FARM Experimental investigation of coseismic fault restrengthening
Xiaofeng Chen
How faults build up stress from the prior earthquake is vital for the seismic cycle. While the majority of fault shear stress recovery occurs during interseismic periods, little attention has been paid to the coseismic fault shear stress recovery.... more

Themes: Developing Rheologies and Bridging Multi-Scales

25063
Group B
Poster
126
Geology Mapping and Statistical Analysis of Precariously Balanced Rocks at Centennial Bluff, CA, Using UAV-Based 3D Semantic Mapping Method
Zhiang Chen, Devin McPhillips, Katherine Scharer, Zachary Ross
The spatial distribution and statistical characteristics of precariously balanced rocks (PBRs) provide important insights into the intensity and variability of past ground motions and are thus a natural archive for paleoseismology. In this study, we... more

Themes: Improving Observations and Closing Data Gaps


Group B
Poster
074
Geodesy Source model of surface deformation and seismicity at the Campi Flegrei
Jinhui Cheng, Mateo Acosta, Jean-Philippe Avouac
Campi Flegrei, a restless caldera near Naples, Italy, has experienced significant uplift and seismicity over the past two decades in relation to magmatic and hydrothermal processes. In this work, we consider inflation of a shallow reservoir,... more

Themes: Improving Observations and Closing Data Gaps | Advanced Modeling Frameworks | Improving Predictive Analyses of Seismicity


Group B
Poster
106
Geology 3D modeling of ground rupture in thrust and reverse fault earthquakes: a distinct element approach
Kristen Chiama, Andreas Plesch, John Shaw
Thrust and reverse fault scarps that form during large earthquakes often feature complex patterns of distributed folding, fracturing, and uplift in surface fault ruptures that can vary significantly along-strike. We aim to evaluate the influence of... more

Themes: Improving Observations and Closing Data Gaps | Advanced Modeling Frameworks

22013
Group A
Poster
311
ASI Making CyberShake Friendly to General Users: CyberShake Data Access GUI
Mario Chong Loo, Natasha Tiwari, Yongfei Wang, Scott Callaghan
CyberShake is physics-based seismic hazard analysis software developed by the SCEC (Statewide California Earthquake Center). The CyberShake Data Access Tool provides data products including site information, seismograms, intensity measures, and... more

Themes: Applied Science Implementation | Research Computing & Cyberinfrastructure


Group B
Poster
304
RC The Quakeworx Science Gateway
Amit Chourasia, Choonhan Youn, Fabio Silva, Bar Oryan, Chunhui Zhao, Jeena Yun, Napat Tainpakdipat, Fabian Kutschera, Akash Bhatthal, Francesco Serafini, Philip Maechling, Dave May, Ahmed Elbanna, Alice-Agnes Gabriel, Yehuda Ben-Zion
Quakeworx is a science gateway that provides an accessible, web-based cyberinfrastructure for the earthquake science community to seamlessly run, reuse, and contribute advanced computational tools for simulation and data analysis. Designed to reduce... more

Themes: Developing Rheologies and Bridging Multi-Scales | Research Computing & Cyberinfrastructure | Education and Workforce Development

24127, 25259
Group A
Poster
153
FARM A Divide-and-Conquer Strategy for Fast, Full Elastodynamic Simulation of Earthquakes and Asiesmic Slip on Complex Fault Networks
Federico Ciardo, Pierre Romanet
Understanding how faults accumulate and release stress over time can be accomplished through numerical simulations that accurately resolve both rapid, dynamic ruptures and slow, aseismic slip. These simulations have become indispensable for... more

Themes: Advanced Modeling Frameworks


Group A
Poster
203
EFP Mechanics and statistics of aftershaking during the 2019 Ridgecrest, CA sequence
Tim Clements, Elizabeth Cochran, Sarah Minson, Nicholas van der Elst, Clara Yoon, Annemarie Baltay, Morgan Page
Large earthquakes usually generate afterslip and a measurable increase in the rate of aftershocks in the seconds to days following rupture. However, catalog-based aftershock rates are difficult to measure in this interval because body, surface, and... more

Themes: Improving Observations and Closing Data Gaps | Improving Predictive Analyses of Seismicity


Group A
Poster
015
Seismology Ground motion variability observed in the 2019 Ridgecrest, California earthquake sequence
Elizabeth Cochran, Grace Parker, Sarah Minson, Annemarie Baltay
We estimate ground motion variability and spatial correlations in the region near the 2019 Ridgecrest, California earthquake sequence. Ground motions are known to be highly variable about their median expected values, yet to accurately estimate... more

Themes: Improving Observations and Closing Data Gaps | Improving Predictive Analyses of Seismicity


Group B
Poster
030
Seismology Spatiotemporal Seismicity Patterns and Strain Release in Active Magma-Poor Rifts, Resolved with a Machine-Learning-Enhanced Earthquake Catalog
Meritxell Colet, Folarin Kolawole, Rasheed Ajala, Felix Waldhauser, Kaiwen Wang
We address long-standing knowledge gaps on modes of strain release in regions of active tectonic extension where faulting and seismicity persist in the absence of voluminous volcanism, commonly known as ‘magma-poor rifts’. Examples of such rifts are... more

Themes: Improving Observations and Closing Data Gaps


Group B
Poster
092
SDOT Using repeating earthquake sequences and geodetic data to build a statewide creep rate model
Norma Contreras, Gareth Funning
California is home to a variety of major faults that pose threats to the local populations. Several of these major faults, such as the central San Andreas fault, exhibit creep (aseismic slip), either fully or partially. This creeping behavior can be... more

Themes: Improving Observations and Closing Data Gaps | Improving Predictive Analyses of Seismicity

25295
Group A
Poster
195
EFP Spatial variability of b-values in the western United States: Implications for seismic hazard modeling
Heather Crume, Jessica Velasquez, Jochen Woessner
The b-value quantifies the relative frequency of small to large earthquakes within a given region and time-period. Accurate estimation of b-values is critical for Probabilistic Seismic Hazard Analysis (PSHA), yet the choice of spatial domain over... more

Themes: Improving Predictive Analyses of Seismicity



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.