The Development of Global Probabilistic Propagation Look-Up Tables for Infrasound Celerity and Back-Azimuth Deviation

Morton, Emily A.; Arrowsmith, Stephen J.

doi:10.1785/0220140124

Cited by 13 publications

(4 citation statements)

References 23 publications

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“…For example, Blom et al (2015) used simulations to establish the expected celerity to be between 250 and 350 m⋅s −1 for propagation distances at around 200 km. Similarly, Morton and Arrowsmith (2014) analysed both simulations and measurements to find a celerity distribution at 275 km distance with values between around 280 and 310 m⋅s −1 . A data-based study presented in Nippress et al (2014) estimates the celerity distribution at 200 km distance to span the 270 to 300 m⋅s −1 range.…”

Section: Summary and Future Workmentioning

confidence: 99%

Assimilation of atmospheric infrasound data to constrain tropospheric and stratospheric winds

Amezcua

Näsholm

Blixt

et al. 2020

Quart J Royal Meteoro Soc

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This data assimilation study exploits infrasound from explosions to probe an atmospheric wind component from the ground up to stratospheric altitudes. Planned explosions of old ammunition in Finland generate transient infrasound waves that travel through the atmosphere. These waves are partially reflected back towards the ground from stratospheric levels, and are detected at a receiver station located in northern Norway at 178 km almost due north from the explosion site. The difference between the true horizontal direction towards the source and the backazimuth direction (the horizontal direction of arrival) of the incoming infrasound wavefronts, in combination with the pulse propagation time, are exploited to provide an estimate of the average cross‐wind component in the penetrated atmosphere. We perform offline assimilation experiments with an ensemble Kalman filter and these observations, using the ERA5 ensemble reanalysis atmospheric product as background (prior) for the wind at different vertical levels. We demonstrate that information from both sources can be combined to obtain analysis (posterior) estimates of cross‐winds at different vertical levels of the atmospheric slice between the explosion site and the recording station. The assimilation makes greatest impact at the 12–60 km levels, with some changes with respect to the prior of the order of 0.1–1.0 m·s−1, which is a magnitude larger than the typical standard deviation of the ERA5 background. The reduction of background variance in the higher levels often reached 2–5%. This is the first published study demonstrating techniques to implement assimilation of infrasound data into atmospheric models. It paves the way for further exploration in the use of infrasound observations – especially natural and continuous sources – to probe the middle atmospheric dynamics and to assimilate these data into atmospheric model products.

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Section: Summary and Future Workmentioning

confidence: 99%

Assimilation of atmospheric infrasound data to constrain tropospheric and stratospheric winds

Amezcua

Näsholm

Blixt

et al. 2020

Quart J Royal Meteoro Soc

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“…Hedlin and Walker, 2013). Empirical distributions for observation probability versus celerity (Morton and Arrowsmith, 2014) will be crucial in obtaining realistic location uncertainty estimates both in RTM-type procedures and in probabilistic methods for acoustic event location (Modrak et al, 2014). …”

Section: Discussionmentioning

confidence: 99%

The European Arctic: A Laboratory for Seismoacoustic Studies

Gibbons

Асминг

Eliasson

et al. 2015

Seismological Research Letters

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“…Here we explore the potential of using empirical climatologies for a first‐order “good enough” estimate of stratospheric cross‐wind corrections for rapid infrasound signal association and source location, with the goal of real‐time application or retrospective systematic reanalyses of large multi‐decadal data archives. Our approach builds on that of pre‐computed look‐up tables, generally based also on empirical climatologies (e.g., Drob, Garcés, et al., 2010; Morton & Arrowsmith, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…Here we explore the potential of using empirical climatologies for a first-order "good enough" estimate of stratospheric cross-wind corrections for rapid infrasound signal association and source location, with the goal of realtime application or retrospective systematic reanalyses of large multi-decadal data archives. Our approach builds on that of pre-computed look-up tables, generally based also on empirical climatologies (e.g., Morton & Arrowsmith, 2014). Matoza et al (2017) introduced a signal association and location method algorithm (IMS_vASC), which uses array processing results from the global IMS infrasound network to automatically detect and catalog global multiyear (2005)(2006)(2007)(2008)(2009)(2010) explosive volcanic signals.…”

mentioning

confidence: 99%

Rapid Location of Remote Volcanic Infrasound Using 3D Ray Tracing and Empirical Climatologies: Application to the 2011 Cordón Caulle and 2015 Calbuco Eruptions, Chile

Leiva

Matoza

2023

JGR Solid Earth

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Detecting, quantifying, and cataloging the global occurrence of explosive volcanism helps toward several goals in Earth sciences and has direct applications in volcanic hazard mitigation (Matoza et al., 2019, and references therein). Previous work has demonstrated that infrasound arrays can be used to detect, locate, and provide detailed chronologies of remote explosive volcanism, with the potential to provide source parameters for ash transport and dispersal models (e.g.,

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The Development of Global Probabilistic Propagation Look-Up Tables for Infrasound Celerity and Back-Azimuth Deviation

Cited by 13 publications

References 23 publications

Assimilation of atmospheric infrasound data to constrain tropospheric and stratospheric winds

Assimilation of atmospheric infrasound data to constrain tropospheric and stratospheric winds

The European Arctic: A Laboratory for Seismoacoustic Studies

Rapid Location of Remote Volcanic Infrasound Using 3D Ray Tracing and Empirical Climatologies: Application to the 2011 Cordón Caulle and 2015 Calbuco Eruptions, Chile

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