Harpa introduces a novel framework for high-rate seismic phase association, overcoming challenges posed by unknown wave speeds and dense seismic events.
Rate-and-state models analyze seismic hazard based on pore pressure changes.
The author explores the impact of auxiliary information, such as seismic phase arrival times, on deep learning models' performance in analyzing ground motion records.