Automated detection and cataloging of global explosive volcanism using the International Monitoring System infrasound network

TitleAutomated detection and cataloging of global explosive volcanism using the International Monitoring System infrasound network
Publication TypeJournal Article
Year of Publication2017
AuthorsMatoza RS, Green DN, Le Pichon A, Shearer PM, Fee D, Mialle P., Ceranna L
JournalJournal of Geophysical Research-Solid Earth
Volume122
Pagination2946-2971
Date Published2017/04
Type of ArticleArticle
ISBN Number2169-9313
Accession NumberWOS:000401867200029
Keywordseruptive activity; location; propagation; regional infrasound
Abstract

We experiment with a new method to search systematically through multiyear data from the International Monitoring System (IMS) infrasound network to identify explosive volcanic eruption signals originating anywhere on Earth. Detecting, quantifying, and cataloging the global occurrence of explosive volcanism helps toward several goals in Earth sciences and has direct applications in volcanic hazard mitigation. We combine infrasound signal association across multiple stations with source location using a brute-force, grid-search, cross-bearings approach. The algorithm corrects for a background prior rate of coherent unwanted infrasound signals (clutter) in a global grid, without needing to screen array processing detection lists from individual stations prior to association. We develop the algorithm using case studies of explosive eruptions: 2008 Kasatochi, Alaska; 2009 Sarychev Peak, Kurile Islands; and 2010 Eyjafjallajokull, Iceland. We apply the method to global IMS infrasound data from 2005-2010 to construct a preliminary acoustic catalog that emphasizes sustained explosive volcanic activity (long-duration signals or sequences of impulsive transients lasting hours to days). This work represents a step toward the goal of integrating IMS infrasound data products into global volcanic eruption early warning and notification systems. Additionally, a better understanding of volcanic signal detection and location with the IMS helps improve operational event detection, discrimination, and association capabilities.

DOI10.1002/2016jb013356
Student Publication: 
No