Thread: EGU 2020 session on Ambient noise seismology

Started: 2019-11-21 00:24:17
Last activity: 2019-11-21 00:24:17
Topics: EGU Meetings
Celine Hadziioannou
2019-11-21 00:24:17
Dear Colleagues,

We would like to invite you to our session SM1.3 at EGU 2020:

*"Ambient noise seismology: Topics, targets, tools & techniques"*

Please inform your colleagues and students about this opportunity to
present their work. We look forward to your contributions!

Best wishes,


Laura Ermert
Gregor Hillers
Anne Obermann

*Session description:*
Ambient seismic noise-based monitoring and imaging techniques have
matured into a core part of the seismological toolkit. The advantages
are based on the commonly obtained robust reconstruction of empirical
Green’s function estimates that allows seismic imaging and continuous
monitoring of a wide range of subsurface structures.

In this session, we focus on open questions and methodological advances
in seismic interferometry and ambient noise based seismology. We invite
(A) contributions on new methodological approaches in seismic
interferometry and noise processing, (B) studies of time variations of
elastic material properties, and (C) investigations of the sources of
the ambient seismic noise.

This could, for example, include contributions that...
... further extend the resolution capabilities and sensitivities of
methods using the continuously recorded wavefield and its applications;
... propose ideas that aim to push the imaging resolution of multiple
scattered wavefields;
... report on case studies of established techniques that are applied to
data collected by unconventional solid earth and acoustic acquisition
systems such as distributed acoustic sensing cables, rotation sensors,
or infrasound installations;
... investigate causes of temporal variations of medium properties,
including suggestions for the upscaling of laboratory configurations to
local and regional scales;
... show monitoring applications that connect the obtained velocity
change signals with complementary observables such as seismicity rates,
geodetic signals, or meltwater drainage to better constrain underlying
physical processes and model parameters;
... study the excitation of the ambient field over the entire frequency
range and implications for the stability of the reconstructed signals;

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