We invite abstracts on works to image rupture kinematics and simulate earthquake dynamics using numerical method to improve understanding of the physics of earthquakes. In particular, these are works that aim to develop a deeper understanding of earthquake source physics by linking novel laboratory experiments to earthquake dynamics, and studies on earthquake scaling properties. For instance assessing the roles fluids and heterogeneities play in influencing, directing, or obstructing the behavior of slow earthquakes and how they impact rupture mechanics. Other works show progress in imaging earthquake sources using seismic data and surface deformation measurements (e.g. GNSS and InSAR) to estimate rupture properties on faults and fault systems. Especially for slow earthquakes we look for technological innovations, showcasing cutting-edge tools and methodologies that boost our proficiency in detecting, analyzing, and understanding slow earthquakes.
We want to highlight strengths and limitations of each data set and method in the context of the source-inversion problem, accounting for uncertainties and robustness of the source models and imaging or simulation methods. Contributions are welcome that make use of modern computing paradigms and infrastructure to tackle large-scale forward simulation of earthquake process, but also inverse modeling to retrieve the rupture process with proper uncertainty quantification. We also welcome seismic studies using data from natural faults, lab results and numerical approaches to understand earthquake physics.
Posters virtual: Tue, 5 May, 14:00–18:00 | vPoster spot 1b
EGU26-13656 | ECS | Posters virtual | VPS24
Moment tensor analysis and uncertainty quantification of local earthquake events: tectonic implication in the northwestern Himalayan regionTue, 05 May, 14:12–14:15 (CEST) vPoster spot 1b
EGU26-6568 | ECS | Posters virtual | VPS24
Scaling of Stress Drop with Rate-and-State Frictional Parameters in Spring-Block ModelsTue, 05 May, 14:15–14:18 (CEST) vPoster spot 1b