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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 201-250 of 281
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SCEC ID Category Title and Authors SCEC Award
Group A
Poster
013
Seismology Induced Seismicity in Southeastern New Mexico
Justin Rubinstein
Since 2015, the Permian Basin in southeastern New Mexico and western Texas has experienced a surge in seismicity. The earthquake rate has been so high that in 2022 the rate of M3+ earthquakes in the Permian exceeded California’s. While seismicity... more

Group B
Poster 184
FARM Improving physics-informed training for forward and inverse problems in earthquake dynamics
Cody Rucker
Direct observations of earthquake nucleation and propagation are few and yet the next decade will likely see an unprecedented increase in indirect, surface observations that must be integrated into modeling efforts. Machine learning (ML) excels in... more

Themes: Advanced Modeling Frameworks | Improving Predictive Analyses of Seismicity | Applied Science Implementation


Group B
Poster 204
EFP Nowcasting Earthquakes with QuakeGPT: An AI-Enhanced Earthquake Generative Pretrained Transformer
John Rundle
Our recent work on earthquake nowcasting has been concerned with the development of methods to track the time dependent state of earthquake risk using earthquake catalog data and standard machine learning techniques. We show the current state of... more

Themes: Advanced Modeling Frameworks

25328
Group A
Poster 183
FARM Geomechanical Understanding of Fault Zone Mixing and Implications for Fluid Flow Along Faults in Sedimentary Rocks
Brook Runyon, John Shaw
Faults can serve as barriers or conduits to fluid flow, significantly impacting fault strength and influencing the nucleation and rupture of both natural and induced earthquakes. Traditional methods for assessing fault fluid flow behavior focus on... more

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


Group A
Poster
151
FARM Slab dehydration–induced hydraulic fracturing: Linking episodic fluid release to slow slip and tremor in subduction zones
Alexis Saez, Aitaro Kato, Dmitry Garagash
Geological and geophysical observations suggest that slow slip events (SSEs) and tremors occur where pore-fluid pressures approach near lithostatic levels. Moreover, recent observations further suggest that the onset and arrest of SSEs correlate... more

Themes: Advanced Modeling Frameworks


Group B
Poster 308
RC Forward and Inverse Problems with the Elastic Wave Equation: A Comparison of Traditional Numerical and Machine-Learning Methods
Tamanna Saini, Brittany Erickson
The seismic wave equation, a fundamental tool in modeling earthquakes, presents unique computational challenges, especially in accurately capturing wave propagation dynamics. Traditional numerical approaches, including finite difference methods (FDM... more

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


Group A
Poster 307
CCB Case Study: A Remote Sensing Approach to Site Selection for an Urban Deployment of Nodal Seismometers
Delton Samuel, Heather Ford, Joseph Byrnes
Assessing seismic hazards is critical for mitigating loss of life and property damage. Though seismometers themselves have become more compact and simpler to deploy, distributing them in urban environments presents a separate set of logistical... more

Themes: Improving Observations and Closing Data Gaps


Group A
Poster
019
Seismology Evaluating earthquake early warning performance using "Did You Feel It?"
Jessie Saunders, David Wald
We examine responses to the U.S. Geological Survey’s “Did You Feel It?” (DYFI) survey and its companion earthquake early warning (EEW) questionnaire to assess the performance of the U.S. ShakeAlert EEW system directly from the alert recipients’... more

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


Group B
Poster
024
Seismology Beamforming Out-of-Network Earthquakes on Short DAS Cable Subsegments for Earthquake Early Warning
Theresa Sawi, Jeff McGuire, Andrew Barbour, Clara Yoon, James Atterholt
Earthquake Early Warning Systems operate by detecting, locating, and estimating the magnitudes of local and regional earthquakes, yet earthquakes outside of the seismic network footprint can often lead to erroneous location and magnitude estimates.... more

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


Group A
Poster
333
CEM Extending the southernmost San Jacinto Fault: evidence for repeat Holocene motion along the Wienert Strand
Katherine Scharer, Thomas Rockwell, Paula Figueiredo
The 1987 M6.6 Superstition Hills earthquake ruptured 27 km of the Superstition Hills Fault and 4 km of the Wienert Fault. A southern continuation of the Wienert Fault is indicated by seismicity lineaments and geodetic studies, but geologic evidence... more

Themes: Improving Observations and Closing Data Gaps


Group A
Poster
111
Geology Can neural nets leverage modern surface rupture data to improve paleoseismic magnitude estimates?
Allison Schiffmaier, Yajaira De Haro, Alba Rodriguez Padilla
The magnitudes of paleo-earthquakes are useful for hazard assessment. Traditionally, these magnitudes are estimated based on individual displacements from trench data or geomorphic offsets, or from rupture length extents, based on empirical scaling... more

Themes: Education and Workforce Development


Group A
Poster 031
Seismology Correlation between fault fabric strength and creep suggests rock type as a controlling parameter
Vera Schulte-Pelkum, Debi Kilb, Thorsten Becker
Faults can exhibit creep at the surface and/or at depth along some fault sections and be locked in adjacent sections. While rock type is thought to be a parameter that controls this type of behavior, other parameters, such as fault geometry, have... more

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

21098, 22073, 24141, 25205
Group B
Poster
136
Geology Tectonic geomorphology and segmentation along the Calaveras fault zone from QUAKES-I and 3DEP topography
Madeline Schwarz, Malinda Zuckerman, Celina Driver, Ramon Arrowsmith, Ryan Applegate, Robert Zinke, Andrea Donnellan, Curtis Padgett
The Calaveras fault zone is characterized by distributed faulting which displays aseismic creep and hosts moderate to large earthquakes that threaten the San Francisco Bay Area. USGS 3DEP lidar collected in 2018 provides 1m bare earth topography of... more

Themes: Improving Observations and Closing Data Gaps


Group A
Poster
113
Geology A GIS-based tool for assessing and visualizing well-informed uncertainty on mapped fault location
Chelsea Scott, Raswanth Prasath, Ramon Arrowsmith, Christopher Madugo, Robert Givler, Stephen Thompson, Albert Kottke
Accurately characterizing uncertainty in future earthquake surface rupture location is critical for fault displacement hazard analyses and for developing engineering solutions that mitigate coseismic risk to infrastructure. Geologists commonly... more

Themes: Improving Predictive Analyses of Seismicity


Group A
Poster
189
EFP Evaluation of 10 Years of UCERF3-ETAS Next-day Forecasts
Francesco Serafini, Maximilian Werner, Fabio Silva, Philip Maechling, Kevin Milner, Edward Field
Earthquake forecasting models are routinely used for probabilistic seismic hazard analysis (PSHA) and operational earthquake forecasting (OEF) operations. Consequently, rigorously evaluating the consistency between forecasts and observations is... more

Themes: Advanced Modeling Frameworks | Improving Predictive Analyses of Seismicity | Applied Science Implementation


Group A
Poster 003
Seismology Improving Iso-surface Depth (z1.0) Estimates for California Sites from Measured Profiles and Geology-Based Proxy Models for Ground Motion Studies
Rashid Shams, Chukwuebuka Nweke, Tristan Buckreis, Scott Brandenberg, Jonathan Stewart
Accurate estimates of subsurface shear wave velocity structure are essential for predicting ground motions and ensuring the resilience of lifeline infrastructure during earthquakes. The depth to a shear wave velocity of 1000 m/s (z1.0) is a key... more

Themes: Advanced Modeling Frameworks | Applied Science Implementation


Group B
Poster
146
FARM Low-Frequency Earthquakes Track the Evolution of a Captured Slab Fragment at the Mendocino Triple Junction
David Shelly, Amanda Thomas, Kathryn Materna, Robert Skoumal
The transition between the San Andreas Fault and the Cascadia subduction zone at the Mendocino triple junction is critical to understanding the tectonics and seismic hazard associated with these fault systems. Despite its significance, this complex... more

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


Group A
Poster
065
Geodesy GNSS/InSAR/UAVSAR Integration for 3-D Deformation Field and fault creep rates in California
Zheng-Kang Shen, Zhen Liu
We have developed a method to integrate GNSS and InSAR data to produce a 3-D surface velocity field of the Earth [Shen and Liu, 2020, 2025]. The method includes the following key components: (a) An optimal interpolation approach to convert discrete... more

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

25275
Group A
Poster
147
FARM How do the geometrical properties of seismicity relate to fault zone structure in California?
Rajani Shrestha, Zachary Ross
As a fault zone structure matures, seismicity becomes more localized around its principal slip surface. The decay of seismicity away from this surface provides an estimate of the effective damage zone width. This requires a detailed characterization... more

Themes: Improving Observations and Closing Data Gaps


Group A
Poster 239
GM The SCEC Broadband Platform: Open-Source Software for Strong Ground Motion Simulation and Validation
Fabio Silva, Sajan K C, Choonhan Youn, Philip Maechling, Chukwuebuka Nweke, Amit Chourasia, Ahmed Elbanna, Yehuda Ben-Zion
The Southern California Earthquake Center (SCEC) Broadband Platform (BBP) is a collection of open-source scientific software modules that can simulate broadband (0-20+ Hz) ground motions for earthquakes at regional scales, compare simulation results... more

Themes: Research Computing & Cyberinfrastructure

25052, 22091
Group A
Poster
109
Geology Impact of strong ground motion during the 1872 M7.4 Owens Valley Earthquake on alpine lakes in the Sierra Neveda
Drake Singleton, Daniel Brothers, Boe Derosier, Rowan Azhderian
Constructing paleoseismic records that span several earthquake cycles can be challenging in low-slip rate environments given long recurrence intervals and variable depositional conditions. Lacustrine systems (lakes) are continuous depositional... more

Themes: Improving Observations and Closing Data Gaps


Group A
Poster
011
Seismology S/P Amplitude Ratios with Distributed Acoustic Sensing
Robert Skoumal, James Atterholt, Andrew Barbour, Jeanne Hardebeck
Distributed Acoustic Sensing (DAS), which transforms a fiber optic cable into an array of high frequency strainmeters, has the potential to help us characterize earthquakes with a dense sampling of measurements. While earthquake focal mechanisms are... more

Themes: Improving Observations and Closing Data Gaps


Group B
Poster
158
FARM Impacts of Hydrothermal Alteration on Coseismic Slip and Fault Zone Properties at Ridgecrest, California
Zachary Smith, Ruyu Yan, Josie Nevitt, William Griffith, Kathryn Materna, Roland Bürgmann, Francis Waligora
The nucleation and propagation of earthquake ruptures and seismic waves are influenced by the properties of fault zone rocks and fluids. Hydrothermal alteration impacts both the frictional properties of fault surfaces and bulk elastic properties of... more

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

23045
Group A
Poster 027
Seismology Source parameter estimation using the Coda Calibration Tool in the Korean Peninsula and Yellow Sea region (2.2 < Mw < 5.5)
Minkyung Son, Kevin Mayeda, Jorge Roman-Nieves, Tae Seok Oh, Chang Soo Cho
Estimating moment magnitude (Mw) and source spectra is critical for seismic hazard assessment and understanding earthquake physics, but stable results are often hindered by path and site effects, simplified assumptions, and limited bandwidth. We... more

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


Group B
Poster
098
SDOT Viscoplastic rheology for characterizing the bulk rheology of fault zone rocks
Hiroki Sone, Mayukh Talukdar, Zirou Jin
Fault zones host abundant fractures, from microscopic to macroscopic scale, created by stress concentrations associated with fault slips. Sliding and closing of these fractures could promote overall viscous behavior of fault zone rocks, which could... more

Themes: Developing Rheologies and Bridging Multi-Scales

25308
Group A
Poster
057
Seismology Leveraging a Multi-Task Deep Learning Model to Enhance the California Statewide Earthquake Focal Mechanism Catalog
Junhao Song, Weiqiang Zhu, Bo Rong
Earthquake focal mechanisms, particularly those from smaller magnitude events that occur more frequently, can provide valuable information on subsurface fault geometries and stress fields. They have been better constrained with the development of... more

Themes: Improving Observations and Closing Data Gaps


Group A
Poster 041
Seismology Insights into Seismic Site Response in San Fernando and San Gabriel Basin using Geomorphometric Parameters
Ana Sotelo Romero, Rashid Shams, Chukwuebuka Nweke
Seismic site response is a critical component of Ground Motion Models (GMMs). Recent studies have shown that sedimentary basins with complex subsurface geometries can significantly amplify ground shaking. However, many current GMMs represent site... more

Themes: Advanced Modeling Frameworks


Talk
Mon1400
CCB Navigating Earthquake Information in the Age of AI: What Science Communicators Need to Know About News and AI Generated Earthquake Content
Samantha Stanley, Claire Wardle, Sara McBride
Studies suggest that damaging earthquakes lead to abundant news content and people turn to news sources for vital information during disasters. Among questions journalists seek to answer are: What happened and what should we expect in the immediate... more

Group A
Poster
161
FARM How Do Earthquakes Get Big?
Will Steinhardt
There are two main paths by which an earthquake can release a large amount accumulated strain on a fault: continuous, monotonic growth on a large, highly stressed patch, with a single acceleration and deacceleration phase, or by linking two more... more

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

25323
Group B
Poster
022
Seismology Ps Receiver Functions in the Presence of Anisotropy
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


Group B
Poster 306
RC Deep Learning Approach for Rapid Tsunami Height and Arrival Time Prediction
Elizabeth Su, Lingsen Meng
Accurate and timely tsunami warnings are critical for mitigating loss of life and property. Traditional deterministic simulations of tsunami waveforms using numerical methods such as finite element models can provide detailed predictions but are... more

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


Group A
Poster 329
CEM Access to California Velocity Models Using SCEC UCVM v25.7
Mei-Hui Su, Philip Maechling, Scott Marshall, Clifford Thurber, Camilo Ignacio Pinilla Ramos, Claire Doody, Yehuda Ben-Zion, Hongjian Fang
SCEC’s Unified Community Velocity Model (UCVM) software v25.7 now provides the research community with access to a broad collection of statewide California seismic velocity models. The SCEC UCVM is a software framework for accessing, comparing, and... more

Themes: Research Computing & Cyberinfrastructure


Group A
Poster 131
FARM Causal Inference-Based Seismic Multi-Hazard Estimation for the 2025 Myanmar Earthquake
Yifan Sun, Lingsen Meng, Zhang Yunjun, Yidi Wang, Yanchen Yang, Changyang Hu
On March 28, 2025, a Magnitude 7.7 earthquake struck near Mandalay in central Myanmar. The earthquake happened along the Sagaing Fault, and the focal depth was approximately 10 km. It initiated extensive liquefaction, landslides, ground rupture, and... more

Themes: Improving Predictive Analyses of Seismicity | Applied Science Implementation


Group A
Poster 181
FARM Fast Dynamic Rupture and Earthquake Cycle Simulations with a Fourier Neural Operator–Based Framework
Napat Tainpakdipat, Mohamed Abdelmeguid, Chunhui Zhao, Ahmed Elbanna
Earthquake modeling captures the multiscale nature of fault processes, spanning spatial and temporal scales from slow aseismic slip to rapid dynamic rupture. Classical physics-based modeling, while accurate, is computationally expensive. To address... more

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


Group A
Poster
175
FARM Modeling the Evolution and Collective Frictional Behavior of Microscale Viscoelastic Contacts at High Sliding Speeds
Yuval Tal
Microscale contact mechanics governs the frictional and sliding behavior of natural surfaces, playing a key role in earthquake dynamics. Here, I explicitly model the collective frictional behavior and contact evolution of a microscopically rough... more

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


Group A
Poster 045
Seismology Variations in mechanical properties control segmentation of oceanic transform faults
Fengzhou Tan, Wenyuan Fan, Peter Shearer, Mark Behn, Jeff McGuire
Oceanic transform faults exhibit concurrent slip behaviors, combining creep with characteristic earthquakes restricted to localized patches. At the Gofar transform fault on the East Pacific Rise, magnitude (M) 6 earthquakes are bounded by creeping... more

Themes: Improving Observations and Closing Data Gaps


Group A
Poster 077
Geodesy Kinematics of Creep Events on the Imperial Fault
M. Morow Tan, Kathryn Materna, Roger Bilham, Daniel Gittins
The Imperial Fault (IF), located in Southern California’s Imperial Valley, is one of the fastest partially-creeping faults in California (Field et al., 2015). Deformation models suggest right-lateral slip rates of 20-35 mm/yr, showing the IF poses a... more

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

25103
Group B
Poster
040
Seismology Volcanic or tectonic origin? A case study of the 2025 Santorini-Amorgos sequence
Xing Tan, William Ellsworth, Gregory Beroza, Stephanie Prejean, Jeremy Pesicek
A key question during the intense 2025 Santorini-Amorgos sequence was whether the earthquakes were tectonic or volcanic. When seismicity in an area behaves unusually, both historical global analogs and modern high-precision analyses can help assess... more

Themes: Improving Observations and Closing Data Gaps


Group A
Poster 039
Seismology Evaluation of Distributed Acoustic Sensing Phase Pick Quality and Performance for Operational Earthquake Monitoring
Gabrielle Tepp, Nytica Artiaga, Ettore Biondi
Over the past several years, distributed acoustic sensing (DAS) has been gaining use in seismological research and even seismic monitoring. The Southern California Seismic Network (SCSN) recently started incorporating DAS data into our routine... more

Themes: Improving Observations and Closing Data Gaps


Group A
Poster 327
CEM Disseminating, improving and validating 3-D seismic velocity models for California
Clifford Thurber
I report on progress on three collaborative and inter-related efforts to disseminate, improve, and validate 3-D seismic velocity models for different regions of California, with support from SCEC and the USGS. The main focus is on the northern... more

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

25209, 25229
Talk
Wed0800
FARM Probing Rupture Dynamics and Ground Motion Signatures from Induced and Natural Earthquakes
Elisa Tinti
Understanding how ruptures initiate, propagate, and arrest is key to advancing physics-based ground motion simulations and improving seismic hazard assessment. In this presentation, I explore two complementary strategies that integrate observations... more

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


Group A
Poster 247
GM The Long and the Short of It: Duration in Earthquake Hazard Analysis
Natasha Tiwari, Mario Chong Loo, Yongfei Wang, Scott Callaghan
Traditional seismic hazard models emphasize amplitude-based metrics such as peak ground acceleration or response spectral acceleration, but often neglect an equally critical factor: ground motion duration. Duration strongly influences structural... more

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


Group A
Poster
087
Geology Complex Spatial-Temporal Rupture Patterns of Reverse Faults: The Dunstan Fault, Otago, New Zealand
Alex Travers, Mark Stirling, Andrew Gorman , Jonathan Griffin, Dan Clark
Tectonic geomorphology resulting from active reverse faulting is highly variable and often complex (E.g. 1988 Spitak earthquake rupture, 2016 Kaikoura rupture). Surface expressions can range from single, well-defined fault scarps to multiple... more

Group B
Poster 036
Seismology Distinguishing Spatial Variations in California Earthquake Dynamics Using a High- to Low-Frequency Spectral Ratio
Ian Vandevert, Peter Shearer, Wenyuan Fan
Earthquakes radiate varying amounts of high-frequency energy, reflecting differences in source dynamics, propagation and attenuation, and near-station site effects. Identifying source variations is essential for understanding spatial differences in... more

Themes: Applied Science Implementation


Group B
Poster 112
Geology Automating Earthquake Field Data Parsing with Machine Learning: From Free-Text to Structured Observations
Neeraja Vasa, Harini Pootheri, Edric Pauk, Tran Huynh, Luke Blair, Kate Thomas, Timothy Dawson
Spatial data collected from the field after earthquakes is heterogeneous and requires extensive manual post-processing before publication. The field observation dataset from the 2014 Napa earthquake took five years to publish due to paper-based... more

Themes: Improving Observations and Closing Data Gaps | Research Computing & Cyberinfrastructure | Education and Workforce Development


Group B
Poster 072
Geodesy Insights and Emerging Directions from Force-Balance Based Joint Inversion of GNSS and InSAR
Mradula Vashishtha, William Holt, Jeonghyeop Kim
GNSS (Global Navigation Satellite System) and InSAR (Interferometric Synthetic Aperture Radar) complement each other to provide more information on the spatial gradients of crustal motions. We jointly invert both GNSS and InSAR data for Southern... more

Themes: Advanced Modeling Frameworks | Applied Science Implementation

24177
Group A
Poster
185
FARM Modeling rupture propagation into creeping faults by thermal pressurisation
Victor Vescu, Oliver Stephenson, Nadia Lapusta
When a rupture reaches a region of slow slip, thermal pressurisation of pore fluids can enable rapid weakening and dynamic failure of the creeping zone (Noda and Lapusta, Nature, 2013). Previous results have shown that valid parameter combinations... more

Themes: Advanced Modeling Frameworks | Applied Science Implementation

25276
Group A
Poster 173
FARM Earthquake Shaking Scales with Rupture Complexity
John Vidale, Hao Zhang
The high-frequency energy radiation efficiency of large earthquakes plays a critical role in determining their destructiveness. The efficiency varies by more than an order of magnitude, yet the underlying controlling factors remain poorly understood... more

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

25253
Group A
Poster
043
Seismology 3D San Fernando Valley and Los Angeles Basin Depth Map from Receiver Functions Guided by Gravity Measurements
Valeria Villa, Robert Clayton, Patricia Persaud
The San Fernando Valley and Los Angeles basin are urban sedimentary basins known to increase the seismic hazard of the surrounding metropolis of approximately 14 million people. In 2022 and 2023, two surveys of hundreds of seismic nodes were... more

Themes: Improving Observations and Closing Data Gaps


Group B
Poster
080
Geodesy Refining interseismic velocity field around the Anza seismic gap with campaign GNSS data
Cornelius Waldhausen, Yuri Fialko, Yehuda Bock
The San Jacinto Fault (SJF), is the most seismically active fault in Southern California. Since 1890 there have been up to 10 earthquakes of magnitude 6 or greater that have ruptured various sections of the fault. One fault section near the town of... more

Themes: Improving Observations and Closing Data Gaps



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.