Thread: AGU 2023 session S023 - Observing Wave Field Gradients in Seismology – Applications, Instrumentation, and Theory

Started: 2023-07-17 13:38:21
Last activity: 2023-07-17 13:38:21
Topics: AGU Meetings
Dear Colleagues,

we kindly invite you to submit an abstract to this year AGU session S023
- Observing Wave Field Gradients in Seismology – Applications,
Instrumentation, and Theory (see the session description below).

You can find a link to the session description and abstract submission
here: https://agu.confex.com/agu/fm23/prelim.cgi/Session/190055

This year the AGU Fall Meeting will take place from 11 to 15 December
2023 in San Francisco and online.

Please note that the abstract submission deadline is *2 August (23:59
EDT/03:59 +1 GMT).**
*

We are happy to announce two invited contributions from
Yan Yang from California Institute of Technology and
Johanna Lehr from the German Federal Institute for Geosciences and
Natural Resources.

Looking forward to your contributions

Felix Bernauer, Yara Rossi, Ettore Biondi and Shihao Yuan

S023 Session description:

Recent advances in seismic instrumentation have made direct observation
of the complete seismic wave field possible, including the spatial
gradients of the wave field, rotation, and strain. Collocated direct
observations of translation, strain, and rotation open new applications
in various disciplines such as seismic exploration, volcanology,
glaciology, ocean bottom seismology, earthquake engineering, and
planetary exploration as well as geodesy and gravitational wave detection.

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-performance rotational
seismometers and tilt meters, high-frequency GNSS, and array-based
methods. We strongly encourage contributions to data analysis
techniques, instrument performance testing, novel deployments on
existing infrastructure, and experimental field studies.



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