Invitation to submit an abstract for AGU Fall Meeting 2024: Interdisciplinary studies on pre-earthquake processes. Towards advancing with models, observations, and AI-enhanced methods (NH28)
Ouzounov, Dimitar
Dear Colleagues,
We want to highlight the two weeks left for abstract submission and invite you to consider submitting an abstract for the AGU Fall Meeting 2024 (December 9-13).
Session Title: Interdisciplinary studies on pre-earthquake processes. Towards advancing with models, observations, and AI-enhanced methods (NH28)
Session Abstract: This session presents the latest results of cross-disciplinary studies from space and ground observations of pre-earthquake processes advanced with the latest models and technology. Various physical observables, ranging from ground-related deformation patterns (GPS, SAR, etc.) to pre-earthquake changes, such as geochemical, electromagnetic, hydrogeological, thermodynamic, and others, have been observed related to stress variations in the lithosphere before strong earthquakes. New technologies like advanced machine learning (ML) of big data (BD) and artificial intelligence (AI), together with signal processing tools that emerged in the past decade, have brought a wave of intensified studies of earthquake forecasting and nowcasting. These methods also allow the exploration of physical earthquake precursors and call for advanced computing architectures and data management plans. In this session, we welcome contributions, including but not limited to observations, modeling, and analyses of pre-earthquake signals; ML/AI-enhanced methods; cross-disciplinary studies of earthquake forecasting/nowcasting; and new technologies for capturing the precursor signals.
Session Link: To submit an abstract, please follow this link: https://agu.confex.com/agu/agu24/prelim.cgi/Session/224475
Abstract Deadline: 31 July 2024 23:59 EDT/03:59 +1 GMT
Invited Speakers:
Yangkang Chen- University of Texas
Ching -Chen Fu- Institute of Earth Sciences, Academia Sinica
The AGU Fall 2024 will be held in Washington, DC, from December 9 to 13, 2024. We look forward to receiving your abstracts and seeing you at the AGU Fall Meeting 2024!
Session Conveners:
- Dimitar Ouzounov, Chapman University
- John B Rundle, University of California Davis
- Katsumi Hattori, Chiba University
--
--
Dimitar Ouzounov
Institute for Earth, Computing, Human and Observing (Institute for ECHO)
Chapman University
One University Drive, Orange, CA 92866
+1-(714) 289-3112 ECHO
+1-(703) 915-0467 mobile
Chapman.edu