Direct numerical simulations of long-range infrasound propagation: implications for source spectra estimation
Direct numerical simulations of long-range infrasound propagation: implications for source spectra estimation
The evolution of observed dominant frequencies from a high-intensity infrasonic pulse with receiver range and stratospheric temperature is investigated using direct numerical simulations of the two-dimensional unsteady compressible Navier-Stokes equations. There is a high level of uncertainty in estimating source dominant frequencies based on received signals at sparse points on the ground. Nonlinear propagation effects in the ground-level thermospheric arrivals are found to significantly alter dominant frequency measurements compared to stratospheric arrivals with smaller amplitude sources. With a larger amplitude source, variations in observations are minimized as a result of nonlinear effects being ubiquitous across all atmospheric components of received signals but have a greater offset to the source dominant frequency. An approach to determine the source dominant frequency and minimize atmospheric variability is presented by calculating a source-to-receiver spectral transfer function averaged across the atmospheric states. This method reduces atmospheric variability in source frequency estimates within the pseudo-linear propagation regime and the average error to the known source frequency with a large amplitude source. The reduction of errors in source frequency estimates demonstrates the feasibility of using remote infrasound measurements as an indicator of source frequency and, in turn, the explosive yield of clandestine nuclear weapon test explosions.
465–478
Tope, Liam James
bd7db7de-f753-4bdd-b0d0-d56d8b60a9d4
Kim, Jae Wook
fedabfc6-312c-40fd-b0c1-7b4a3ca80987
Spence, Peter
cd3c5ee6-0816-42c5-afd9-caf9d7546317
22 January 2024
Tope, Liam James
bd7db7de-f753-4bdd-b0d0-d56d8b60a9d4
Kim, Jae Wook
fedabfc6-312c-40fd-b0c1-7b4a3ca80987
Spence, Peter
cd3c5ee6-0816-42c5-afd9-caf9d7546317
Tope, Liam James, Kim, Jae Wook and Spence, Peter
(2024)
Direct numerical simulations of long-range infrasound propagation: implications for source spectra estimation.
The Journal of The Acoustical Society of America, 155 (1), .
(doi:10.1121/10.0024338).
Abstract
The evolution of observed dominant frequencies from a high-intensity infrasonic pulse with receiver range and stratospheric temperature is investigated using direct numerical simulations of the two-dimensional unsteady compressible Navier-Stokes equations. There is a high level of uncertainty in estimating source dominant frequencies based on received signals at sparse points on the ground. Nonlinear propagation effects in the ground-level thermospheric arrivals are found to significantly alter dominant frequency measurements compared to stratospheric arrivals with smaller amplitude sources. With a larger amplitude source, variations in observations are minimized as a result of nonlinear effects being ubiquitous across all atmospheric components of received signals but have a greater offset to the source dominant frequency. An approach to determine the source dominant frequency and minimize atmospheric variability is presented by calculating a source-to-receiver spectral transfer function averaged across the atmospheric states. This method reduces atmospheric variability in source frequency estimates within the pseudo-linear propagation regime and the average error to the known source frequency with a large amplitude source. The reduction of errors in source frequency estimates demonstrates the feasibility of using remote infrasound measurements as an indicator of source frequency and, in turn, the explosive yield of clandestine nuclear weapon test explosions.
Text
JASA_155_1_Tope
- Version of Record
More information
Accepted/In Press date: 14 December 2023
Published date: 22 January 2024
Additional Information:
Funding information:
This research was co-funded by the Atomic Weapons Establishment (AWE) and the Engineering and Physical Sciences Research Council (EPSRC) via Centre for Doctoral Training in Next Generation Computational Modelling (CDT-NGCM, Grant No. EP/L015382/1). The authors gratefully acknowledge the computing facilities and services of the IRIDIS 5 High Performance Computing cluster at the University of Southampton.
Publisher Copyright:
© 2024 Author(s).
Identifiers
Local EPrints ID: 486454
URI: http://eprints.soton.ac.uk/id/eprint/486454
ISSN: 0001-4966
PURE UUID: 8c024f16-1a91-4f94-ad1a-6d87e54c988a
Catalogue record
Date deposited: 22 Jan 2024 18:02
Last modified: 21 Jun 2024 01:55
Export record
Altmetrics
Contributors
Author:
Liam James Tope
Author:
Peter Spence
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics