Expanding and Fingerprinting a Repeating Earthquake Catalog on the Cascades Volcanoes

The Cascade Volcanoes are rich in seismic signals because they are glaciated, thus they experience seismic events related to tectonics, volcanism, and glacier dynamics, many of which repeat with time. Using both supervised and unsupervised detection methods, repeating events are identified and grouped based on waveform similarity. Unsupervised detection is acquired through the REDPy (Repeating Earthquake Detector in Python) catalog of repeating seismic events from 2009 to present at five volcanoes. These events serve as the basis for creation of templates for the supervised detection method, EQcorrscan, a template matching python package that is run with a fast marching filter to backfill the REDPy catalog from 2002 to 2009 and enrich the catalog from 2009 to 2021. We use clustering techniques on these repeated signals to find the temporal and spatial evolution of these events and interpret the complex geodynamics of these volcanoes over 20 years of data. Preliminary results show the distribution of repeating seismic events over time and connections with environmental factors such as repeating glacial events (icequakes) and rainfall as well as the location of events.