Room: Exhibit Hall
Date: 4/16/2025
Session Time: 8:00 AM to 5:45 PM (local time)
Predictability of Seismic and Aseismic Slip: From Basic Science to Operational Forecasts
A central problem of earthquake seismology is time-dependent earthquake forecasting. We are currently unable to reliably predict damaging earthquakes --- or the lack thereof --- within relatively short and therefore actionable space and timeframes. It may be that the earthquake nucleation process is complex enough that such prediction is impractical. However, new pieces of the forecasting puzzle continue to accumulate from lab and field experiments, multi-disciplinary observations, theory, physical modeling, advanced computing and machine-learning.
This session welcomes approaches to evaluate constraints on short-timescale forecasting as well as opportunities for the predictability of seismic and aseismic fault slip, fracturing, and their associated processes, such as crustal deformation, aftershocks, fluid flow or geochemical alterations. If the old, central problem of earthquake prediction is too ill-conditioned, how do we integrate across disciplinary boundaries to make progress on more predictable variables and processes?
We welcome a broad range of contributions that provide new perspectives on the predictability of seismic and aseismic slip and associated phenomena. These may include new insights from: lab and field experiments, analyses of aseismic slip or low-frequency earthquakes and their interaction with fast earthquakes, models of fault slip, evaluations of seismicity forecasting models including machine learning models, enhanced earthquake catalogs, advanced computing and machine learning techniques, or integrated predictive modeling of a broad spectrum of phenomena beyond purely seismic slip.
Conveners
Jessica Hawthorne, University of Oxford (jessica.hawthorne@earth.ox.ac.uk)
Maximilian J. Werner, University of Bristol (max.werner@bristol.ac.uk
Poster Presentations
Participant Role | Details | Action |
---|---|---|
Submission | Ultrasonic Probing of Slow Slip Fronts in a M-scale Laboratory Fault | View |
Submission | Synergizing Seismo-geodetic Coupling and Slip Models with Optimal Transport and Machine Learning to Determine if Megathrust Earthquake Ruptures are Slip-deficit Controlled | View |
Submission | Rupture Propagation Dynamics in Branch Fault Systems: A Case Study of the San Andreas–Garlock Fault Junction Applying a Machine Learning Approach | View |
Submission | Towards an InSAR Catalog of Creep Events on the Imperial Fault | View |
Submission | Role of Foreshock Sequences in Triggering the 2016 Mw 6.9 Fukushima Mainshock | View |
Submission | Use of Repeating Earthquakes to Discriminate Slow Earthquakes in the Central Pacific Subduction Zone of Costa Rica | View |
Submission | Bayesian Inference of Stress Evolution in Rate-and-state Governed Faults Constrained by Seismicity Rate Observations | View |
Submission | Synchronization Among Characteristic Earthquakes | View |
Submission | Sliding and Healing of Frictional Interfaces That Appear Stationary | View |
Submission | How Did the 2016 Mw 7.8 Kaikōura Earthquake Affect the Megathrust Earthquake Potential in the Hikurangi Subduction Zone? | View |
Predictability of Seismic and Aseismic Slip: From Basic Science to Operational Forecasts [Poster]
Description