Thread: AGU session announcement: S019. Observation of Rotation, Strain and Translation in Seismology – Applications, Instrumentation and Theory

Dear Colleagues,

we invite you to submit your work to the session *S019. Observation of
Rotation, Strain and Translation in Seismology – Applications,
Instrumentation and Theory* (see the full session description below).

https://agu.confex.com/agu/fm20/prelim.cgi/Session/102791

Please note that AGU2020 will be *virtuell*, and that the abstract
submission deadline is *July 29 2020.*

The first part of the session will be a panel discussion where we
welcome the following invited panelists:

Ulrich Schreiber (TU Munich)

Celine Hadziioannou (University of Hamburg)

Eileen Martin (Virginia Tech)

Pascal Edme, (ETH Zurich)

Noha Farghal (USGS)

Stefanie Donner (BGR)

Looking forward to great discussions!

Best Regards

Felix Bernauer (on behalf of the organizing team Nate Lindsey, David
Sollberger and Eva Eibl)

*Session description:*

Recent advances in seismic instrumentation have made direct observation
of the complete seismic
wave field possible, including rotation, strain and the spatial
gradients of the wave field. This is
opening new applications in various disciplines such as seismic
exploration, strong motion, volcano
seismology, ocean bottom seismology, earthquake engineering and
planetary exploration.
Collocated observations of translation, strain and rotation have shown
great potential in, for
example, retrieving information on wave propagation directions and
subsurface velocity, separating
seismic phases, and retrieving static displacements and rotations.
We invite contributions on any recent development in the fields of
applications, instrumentation,
and theory for observing seismic ground rotation, strain and
translation. These may include - but are
not restricted to -alternative technologies for seismometers (e.g.,
optical technologies), fiber-optic
technologies, such as fiber-optic gyroscopes or distributed acoustic
sensing, high-frequency GPS,
and array based methods. We strongly encourage contributions on data
analysis techniques,
instrument performance testing and experimental field studies.