Thread: AGU 2022 Session S008: Exploiting the Ambient Seismic Field: Opportunities From New Sources, Methodologies and Instrumentations

Started: 2022-07-27 22:02:35
Last activity: 2022-07-27 22:02:35
Topics: AGU Meetings


Dear collogues,

We would like to invite contributions to our AGU session: S008 - Exploiting the Ambient Seismic Field: Opportunities From New Sources, Methodologies and Instrumentations

Session Description:

The ambient seismic (noise) field has been proven to contain a wealth of information about the Earth's structure and its time-varying properties. Recent advances in seismic instruments and technology (e.g., Fiber Optic Sensing systems and Large-N arrays, both onshore and offshore) offer new opportunities to improve our perception of the noise wavefield. This session invites presentations utilizing the seismic ambient field from all types of sources, including microseisms, storms, earthquake coda, traffic, mining, or other human activities. Contributions to theoretical and methodological developments (such as spatial localization of scattering/seismic property changes, extraction of body waves, non-ideal source distribution studies, high-order correlations, and the use of machine learning algorithms) are particularly welcomed. We also encourage noise-based applications on various topics that image or monitor seismic velocity, ground motions or attenuation properties of the Earth (and other planets) related to tectonic, magmatic, environmental, or anthropogenic activities.

Invited speakers are Marine Denolle ( University of Washington ) and Han Xiao ( University of California, Santa Barbara )



As a reminder, t his year’s AGU will be hybrid and f irst authors can submit up to two contributed abstracts in two different sections. The abstract deadline is August 3, 2022 at 11:59 EDT. To submit an abstract to our session please go to: [ https://agu.confex.com/agu/fm22/prelim.cgi/Session/162682 | https://agu.confex.com/agu/fm22/prelim.cgi/Session/162682 ]



Kind regards from the conveners:


Shujuan Mao , Stanford University

Yixiao Sheng, Université Grenoble Alpes

Loïc Viens , University of Michigan

Aurélien Mordret , Université Grenoble Alpes






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