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Back-azimuth estimation of air-to-ground coupled infrasound from transverse coherence minimization

Jordan Bishop·Matthew M. Haney·David Fee·Robin Matoza·Kathleen McKee·John J. Lyons
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Abstract

We present the transverse coherence minimization method (TCM)—an approach to estimate the back-azimuth of infrasound signals that are recorded on an infrasound microphone and a colocated three-component seismometer. Accurate back-azimuth information is important for a variety of monitoring efforts, but it is currently only available for infrasound arrays and for seismoacoustic sensor pairs separated by 10 s of meters. Our TCM method allows for the analysis of colocated sensor pairs, sensors located within a few meters of each other, which may extend the capabilities of existing seismoacoustic networks and supplement operating infrasound arrays. This approach minimizes the coherence of the transverse component of seismic displacement with the infrasound wave to estimate the infrasound back-azimuth. After developing an analytical model, we investigate seismoacoustic signals from the August 2012 Humming Roadrunner experiment and the 26 May 2021 eruption of Great Sitkin Volcano, Alaska, U.S.A., at the ranges of 6.5–185 km from the source. We discuss back-azimuth estimates and potential sources of deviation (1°–15°), such as local terrain effects or deviation from common analytical models. This practical method complements existing seismoacoustic tools and may be suitable for routine application to signals of interest.

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Jordan Bishop, Matthew M. Haney, David Fee, Robin Matoza, Kathleen McKee, John J. Lyons. 2023-10-02. Back-azimuth estimation of air-to-ground coupled infrasound from transverse coherence minimization. https://doi.org/10.1785/0320230023

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