Detection of regional infrasound signals using array data: Testing, tuning, and physical interpretation

Journal Article · Thu Jul 14 00:00:00 EDT 2016 · Journal of the Acoustical Society of America

DOI:https://doi.org/10.1121/1.4954759· OSTI ID:1326653

Park, Junghyun ^[1]; Stump, Brian W. ^[1]; Hayward, Chris ^[1]; Arrowsmith, Stephen J. ^[2]; Che, Il-Young ^[3]; Drob, Douglas P. ^[4]

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1. Southern Methodist Univ., Dallas, TX (United States)
2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
3. Korea Institute of Geoscience and Mineral Resources, Deajeon (Korea)
4. Space Science Division, Naval Research Lab., Washington, D.C. (United States)

This work quantifies the physical characteristics of infrasound signal and noise, assesses their temporal variations, and determines the degree to which these effects can be predicted by time-varying atmospheric models to estimate array and network performance. An automated detector that accounts for both correlated and uncorrelated noise is applied to infrasound data from three seismo-acoustic arrays in South Korea (BRDAR, CHNAR, and KSGAR), cooperatively operated by Korea Institute of Geoscience and Mineral Resources (KIGAM) and Southern Methodist University (SMU). Arrays located on an island and near the coast have higher noise power, consistent with both higher wind speeds and seasonably variable ocean wave contributions. On the basis of the adaptive F-detector quantification of time variable environmental effects, the time-dependent scaling variable is shown to be dependent on both weather conditions and local site effects. Significant seasonal variations in infrasound detections including daily time of occurrence, detection numbers, and phase velocity/azimuth estimates are documented. These time-dependent effects are strongly correlated with atmospheric winds and temperatures and are predicted by available atmospheric specifications. As a result, this suggests that commonly available atmospheric specifications can be used to predict both station and network detection performance, and an appropriate forward model improves location capabilities as a function of time.

• Research Organization: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: AFRL; USDOE
• Grant/Contract Number: AC04-94AL85000
• OSTI ID: 1326653
• Alternate ID(s): OSTI ID: 1503952
• Report Number(s): SAND--2015-10979J; 617421
• Journal Information: Journal of the Acoustical Society of America, Journal Name: Journal of the Acoustical Society of America Journal Issue: 1 Vol. 140; ISSN 0001-4966; ISSN JASMAN
• Publisher: Acoustical Society of America
• Country of Publication: United States
• Language: English

Related Subjects

47 OTHER INSTRUMENTATION
infrasound
ocean waves
oceans
stratosphere
troposhere