S51C-2691
On the development and testing of a database-centric pipeline for the analysis of a regional infrasound network
Friday, 18 December 2015
Poster Hall (Moscone South)
Omar E Marcillo1, Philip S. Blom1, Garrett Euler1, Jonathan MacCarthy2, Junghyun Park3, Brian William Stump3, Chris Hayward3 and Fransiska K Dannemann3, (1)Los Alamos National Laboratory, Los Alamos, NM, United States, (2)Los Alamos National Lab, Los Alamos, NM, United States, (3)Southern Methodist University, Dallas, TX, United States
Abstract:
We are developing a database-centric pipeline for the analysis of data from a regional network of infrasound arrays. The pipeline includes analysis at station and network levels (using beam-forming and clustering techniques, respectively) for the detection, association and location of events. The pipeline relies on the interaction of the algorithms with a relational database structure to organize and store waveform data, the parameters for the analysis, and results of both levels of analysis. Our implementation can interact seamlessly with traditional (e.g.: Oracle) and serverless (e.g.: SQLite) relational databases. Data from nine infrasonic arrays co-located with University of Utah Seismograph Stations, three additional arrays in Nevada, operated by Southern Methodist University, and IMS arrays at IS56 in Washington State and IS57 in California are used to test the operation of the pipeline, the algorithms, and the sensitivity of the results to the parameters of the analysis
