4-4-4-4-4-4-4-4-4-4-4-4-4 From: Alex Iezzi <amiezzi@xxxxxxxxxx> Colleagues, We are pleased to announce a broad, cross discipline infrasound session for the 2020 AGU Meeting "Geophysical & Planetary Acoustics: Natural to Anthropogenic on Earth and Beyond". The 2020 AGU Meeting is currently planned to be an online-only meeting, with poster and oral sessions that will span multiple time zones. We hope this unique meeting structure will facilitate discussion among international collaborators within the infrasound community. The deadline for the abstract submission is *29 Jul 2020*. We are looking forward to your participation in this session and the AGU meeting. Yours sincerely, Fransiska, Stephen, Siddharth, and Alex *Session S012:* Geophysical & Planetary Acoustics: Natural to Anthropogenic on Earth and Beyond *Submit an abstract here: * *https://agu.confex.com/agu/fm20/prelim.cgi/Session/102545* <https://agu.confex.com/agu/fm20/prelim.cgi/Session/102545> Low frequency acoustic ("infrasound") sensors can capture signals from both natural (volcanoes, earthquakes, severe storms, bolides, gravity-driven flows etc.) and anthropogenic (chemical and nuclear explosions, wind turbines, dams, etc.) sources. The recent detection of Martian infrasound via the InSight lander has highlighted the scientific dividends of acoustic monitoring on other solar system bodies as well. Recorded signals are frequently leveraged for national and global security applications such as detonation detection, as well as civil and scientific applications such as atmospheric studies and natural hazard monitoring. This session is dedicated to highlighting the depth and breadth of studies of acoustic waves on the Earth and beyond. We invite submissions detailing recent science results and research advances in infrasound, seismoacoustic, and similar multi-phenomenological research. Presentations that explore observations and/or interpretations of acoustic phenomena, existing and emerging source and propagation models, advances in instrumentation and signal analysis techniques are welcome. 4-4-4-4-4-4-4-4-4-4-4-4-4 ------------------------------