Multidisciplinary and Interdisciplinary (M)
Session Sub-categoryTechnology & Techniques (TT)
Session IDM-TT36
Session Title Recent advances in forecasting/nowcasting and seismic hazard reduction
Short Title Advances in forecasting/nowcasting
Date & Time Oral
Session
AM1 Sun, 26 MAY
On-site
Poster
Coretime
PM3 Sun, 26 MAY
Main Convener Name Yangkang Chen
Affiliation University of Texas at Austin
Co-Convener 1 Name John B Rundle
Affiliation University of California Davis
Co-Convener 2 Name Dimitar Ouzounov
Affiliation Center of Excellence in Earth Systems Modeling & Observations (CEESMO) , Schmid College of Science & Technology Chapman University, Orange, California, USA
Co-Convener 3 Name Katsumi Hattori
Affiliation Department of Earth Sciences, Graduate School of Science, Chiba University
Session Language E
Scope (Session Description) Advanced data analysis technologies including machine learning (ML) and artificial intelligence (AI) have brought significant progress in integrating different observations (e.g., acoustic, elastic, remote sensing), as well as understanding the spatial-temporal correlations of earthquakes, which makes the previously intractable forecasting and nowcasting more possible. In addition, new sensing technologies enable the observation and exploration of earthquake precursor signals in an unprecedently high spatio-temporal resolution. These new signal processing techniques and high-quality and high-resolution datasets pave the way for multi-disciplinary studies of earthquake nucleation mechanisms and predictions, as well as advances in seismic hazard reduction. In this session, we welcome the contribution from a wide range of advances in the field of earthquake forecasting and nowcasting including but not limited to machine learning and AI-enhanced methods to integrate multi-purpose datasets; advances in understanding earthquake nucleation from laboratory to field; benchmark real case studies; new sensing and processing technologies for capturing the pre-earthquake signals; insights of earthquake hazard reduction in the era of predictable earthquakes.
Presentation Format Oral and Poster
Collaboration Joint with AGU
Co-sponsoring
Society
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