Call for Abstracts AGU26 Session - S028 Seismic Source Estimation: Methods, Data, and Uncertainty Quantification

[Julien Thurin]

Dear Colleagues,

A quick reminder that only a few days remain to submit an abstract to our AGU26 Fall Meeting session:

S028. Seismic Source Estimation: Methods, Data, and Uncertainty Quantification

This session brings together researchers working on seismic source estimation across a broad range of source types, magnitudes, datasets, and methods. We welcome contributions on moment tensors, point forces, finite-fault models, stress drop, source resolvability, uncertainty quantification, and reproducibility of inferred source parameters.

We especially encourage submissions that push the boundaries of source characterization, including studies using large or emerging datasets, very low-magnitude events, dense seismic arrays, DAS, GNSS, InSAR, probabilistic methods, machine learning, and other innovative computational approaches. Contributions on tectonic, volcanic, anthropogenic, and environmental sources are all welcome. 

Please consider submitting an abstract if you're working on a super interesting dataset or a new exciting method! 

Abstract Submission Deadline: 5 August 2026, 23:59 EDT

Session Information and Abstract Submission:
https://agu.confex.com/agu/agu26/prelim.cgi/Session/281423

Please feel free to share this announcement with colleagues, collaborators, students, and anyone else who may be interested.

We look forward to receiving your submissions and to an engaging discussion at AGU26 in San Francisco.

Best regards,
Julien Thurin, Andrea Chiang, Younghee Kim, Théa Ragon, and Evans Onyango