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

Park, Junghyun; Stump, Brian W.; Hayward, Chris; Arrowsmith, Stephen J.; Che, Il-Young; Drob, Douglas P.

doi:10.1121/1.4954759

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

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Abstract

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 capabilitiesmore » as a function of time.« less

Authors:

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

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

Publication Date:: Thu Jul 14 00:00:00 EDT 2016

Research Org.:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Org.:: AFRL; USDOE

OSTI Identifier:: 1326653

Report Number(s):: SAND-2015-10979J
Journal ID: ISSN 0001-4966; JASMAN; 617421

Grant/Contract Number:: AC04-94AL85000

Resource Type:: Accepted Manuscript

Journal Name:: Journal of the Acoustical Society of America

Additional Journal Information:: Journal Volume: 140; Journal Issue: 1; Journal ID: ISSN 0001-4966

Publisher:: Acoustical Society of America

Country of Publication:: United States

Language:: English

Subject:: 47 OTHER INSTRUMENTATION; infrasound; stratosphere; troposhere; ocean waves; oceans

Citation Formats


                    Park, Junghyun, Stump, Brian W., Hayward, Chris, Arrowsmith, Stephen J., Che, Il-Young, and Drob, Douglas P. Detection of regional infrasound signals using array data: Testing, tuning, and physical interpretation.  United States: N. p., 2016. 
Web.  doi:10.1121/1.4954759.

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                    Park, Junghyun, Stump, Brian W., Hayward, Chris, Arrowsmith, Stephen J., Che, Il-Young, & Drob, Douglas P. Detection of regional infrasound signals using array data: Testing, tuning, and physical interpretation.  United States.  https://doi.org/10.1121/1.4954759

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                    Park, Junghyun, Stump, Brian W., Hayward, Chris, Arrowsmith, Stephen J., Che, Il-Young, and Drob, Douglas P. Thu .  
"Detection of regional infrasound signals using array data: Testing, tuning, and physical interpretation".  United States.  https://doi.org/10.1121/1.4954759.  https://www.osti.gov/servlets/purl/1326653.

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@article{osti_1326653,

  title        = {Detection of regional infrasound signals using array data: Testing, tuning, and physical interpretation},

  author       = {Park, Junghyun and Stump, Brian W. and Hayward, Chris and Arrowsmith, Stephen J. and Che, Il-Young and Drob, Douglas P.},

  abstractNote = {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.},

  doi          = {10.1121/1.4954759},

  journal      = {Journal of the Acoustical Society of America},

  number       = 1,

  volume       = 140,

  place        = {United States},

  year         = {Thu Jul 14 00:00:00 EDT 2016},

  month        = {Thu Jul 14 00:00:00 EDT 2016}

}

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