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  1. Abstract

    The International Monitoring System (IMS) infrasound network has been established to detect nuclear explosions and other signals of interest embedded in the station‐specific ambient noise. The ambient noise can be separated into coherent infrasound (e.g., real infrasonic signals) and incoherent noise (such as that caused by wind turbulence). Previous work statistically and systematically characterized coherent infrasound recorded by the IMS. This paper expands on this analysis of the coherent ambient infrasound by including updated IMS data sets with data up to the end of 2020 for all 53 of the currently certified IMS infrasound stations using an updated configuration of the Progressive Multi‐Channel Correlation (PMCC) method. This paper presents monthly station‐dependent reference curves for the back azimuth, trace velocity, and root mean squared amplitude, which provides a means to determine the deviation from the nominal monthly behavior. In addition, a daily Ambient Noise Stationarity (ANS) factor based on deviations from the reference curves is determined for a quick reference to the coherent signal quality compared to the nominal situations. Newly presented histograms provide a higher resolution spectrum, including the observations of the microbarom peak, as well as additional peaks reflecting station‐dependent environmental noise. The aim of these reference curves is to identify periods of suboptimal operation (e.g., nonoperational sensor) or instances of strong abnormal signals of interest.

     
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  2. Abstract

    Mount Michael stratovolcano, South Sandwich Islands is extremely remote and challenging to observe, but eruptive activity has been sporadically observed since 1820 and captured by satellite methods since 1989. We identify long‐range infrasound signals recorded by the International Monitoring System attributable to episodes of persistent eruptive activity at Mount Michael. Analysis of multi‐year (2004–2020) infrasound array data at station IS27, Antarctica (range 1,672 km) reveals candidate signals especially from May 2005 to January 2008 and from May 2016 to April 2018. By combining ray‐tracing with empirical climatologies and atmospheric specifications, we show that systematic variations in the observed backazimuth of the signals (at IS27) are broadly consistent with annual variability in stratospheric propagation conditions for a source at Mount Michael. Observed signal amplitudes combined with transmission loss estimates are consistent with moderate explosive eruption. We highlight a selection of infrasound signals that correspond to satellite observation of eruptions.

     
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