Primary Convener:
Claire Doody, Lawrence Livermore National Laboratory

Convener:
James Atterholt, United States Geological Survey
Hao Guo, USTC University of Science and Technology of China
Fan-Chi Lin, University of Utah

Chair:
Claire Doody, University of California Berkeley
James Atterholt, United States Geological Survey
Hao Guo, USTC University of Science and Technology of China
Fan-Chi Lin, University of Utah

Subsurface processes in the near-surface, crust, mantle, and core are opaque due to the inaccessibility of Earth’s interior. Seismic imaging is a key tool to understand the subsurface, providing important constraints on multi-scale structural heterogeneity in both space and time. Advances in imaging techniques that constrain structural boundaries, like receiver functions and autocorrelation, and velocity structure, like earthquake and ambient noise tomography, provide constraints on geologic and tectonic processes. Deployments of nodal and ocean bottom seismometers and distributed acoustic sensing arrays can supplement permanent broadband networks by increasing spatial density and extending seismic imaging to remote areas. We invite research on any spatial and temporal scale that uses seismic imaging to study the subsurface. We encourage presentations that use new methods or novel datasets and research that combines seismic imaging with modeling to better understand subsurface processes.

Index Terms
7270 Tomography
7290 Computational seismology
8124 Earth's interior: composition and state
8180 Tomography

Neighborhoods:
2. Earth Interior