The session “Theoretical and Computational Advances in Seismology” is back for the 2021 AGU Fall meeting, as the session S025 .
Our invited speakers this year are Jack Muir (California Institute of Technology) and Ivan Pires de Vasconcelos (University of Utrecht).
Link to submit to this session: AGU Fall Meeting 2021
Numerous recent advances in the Earth sciences are driven by developments in seismology, and specifically in numerical simulations, forward and inverse modeling theories, and growing computational resources. To promote further progress, this session offers a platform for theoretical and computational advances in seismology.
We welcome innovative contributions dealing with novel and creative approaches to more accurate and faster forward modeling, the efficient solution of (nonlinear) inverse problems, and methods that enable the exploitation of massive emerging data volumes. Of particular interest are contributions on the joint inversion of disparate datasets, multi-scale or multi-parameter tomography, effective medium theory, uncertainty analysis, machine learning for data mining and inversion, novel concepts in seismic interferometry, as well as the exploitation of emerging hardware solutions.
Monica Maceira - Oak Ridge National Laboratory
Carene S Larmat - Los Alamos National Laboratory
Andreas Fichtner - ETH Zurich
Barbara A Romanowicz - Univ California Berkeley