Data Services Products: Infrasound-AELUMA-old Infrasound AELUMA Event Database

AELUMA (Automated Event Location Using a Mesh of Arrays) is a new algorithm developed by de Groot-Hedlin and Hedlin to detect and locate geophysical events. AELUMA allows division of a sufficiently dense network, such as TA, into a mesh of three-element arrays (triads). The time and azimuth of the detected signals from the cluster of these triads is then used to locate the source.

Infrasound AELUMA Event Database is an event database that is created by running AELUMA algorithm over the TA infrasound data. The resulting uniform database of acoustic sources is hosted by IRIS’s Searchable Product Depository (SPUD). The event database holds the following information for each event. The bold items represent fields that user can use for event selection using SPUD’s user interface:

• ID — Event ID
• Date Time — Event Date Time
• Latitude — Source latitude
• Longitude — Source longitude
• Celerity — Mean celerity (m/sec)
• STD — Standard deviation of celerity (m/sec)
• Triads — Total number of triads in cluster
• Bad — Solution quality (0: best, 1: source on the edge of search grid, 10: source on the time grid boundary)
• Sta — Total number of stations included in detecting triads
• Min X-corr — Minimum cross correlation

In addition, SPUD hosts an event page for each event that displays event parameters, a record section of infrasound traces, list of contributing stations, a location map of the source and contributing stations.

To cite the IRIS DMC Data Products effort:

• Trabant, C., A. R. Hutko, M. Bahavar, R. Karstens, T. Ahern, and R. Aster (2012), Data Products at the IRIS DMC: Stepping Stones for Research and Other Applications, Seismological Research Letters, 83(5), 846–854, https://doi.org/10.1785/0220120032.

To cite the IRIS DMC Infrasound AELUMA Event Database or reference use of its events:

• IRIS DMC (2016), Data Services Products: Infrasound AELUMA Event Database, https://doi.org/10.17611/DP/IS.1.

To cite the source or reference the use of Missouri S&T Shear-wave splitting database:

• Catherine D. de Groot-Hedlin and Michael A.H. Hedlin, 2015, A method for detecting and
  locating geophysical events using groups of arrays, Geophys. J. Int. 2015 203: 960-971. https://doi.org/10.1093/gji/ggv345

References

• Catherine D. de Groot-Hedlin and Michael A.H. Hedlin, 2015, A method for detecting and
  locating geophysical events using groups of arrays, Geophys. J. Int. 2015 203: 960-971. https://doi.org/10.1093/gji/ggv345

Catherine D. de Groot-Hedlin & Michael A.H. Hedlin

Catherine de Groot-Hedlin
University of California, San Diego