Perspectives and challenges in bolide infrasound processing and interpretation: A focused review with case studiesOPEN ACCESS
Elizabeth A. Silber Remote Sensing. 2024; 16(19):3628 PDF (OPEN ACCESS) “Infrasound sensing plays a critical role in the detection and analysis of bolides, offering passive, cost-effective global monitoring capabilities. Key objectives include determining the timing,…
A comparison of fireball luminous efficiency models using acoustic records
Luke McFadden, Peter G. Brown, Denis Vida IcarusIn Press, Journal Pre-proof, Available online 6 August 2024 LINK “Highlights “The total energy of a fireball is commonly obtained from optical measurements with an assumed value for…
The utility of infrasound in global monitoring of extraterrestrial impacts: A case study of the 23 July 2008 Tajikistan bolideOPEN ACCESS
Elizabeth A. Silber Accepted for publication in the Astronomical Journal PDF (OPEN ACCESS) “Among various observational techniques used for detection of large bolides on a global scale is a low frequency sound known as infrasound….
Méthode des rayons complexes pour la propagation infrasonore. Application au bang sonique d’un météoroïde
Annie Zelias PhD thesis (in French) PDF (OPEN ACCESS) Most of high-energy atmospheric phenomena, either natural (meteoroids, earthquakes, volcanoes, etc.) or anthropogenic (aircraft, chemical or nuclear explosions, etc.) emit acoustic waves of frequencies lower than…
Fireball characteristics derivable from acoustic dataOPEN ACCESS
Luke McFadden, Peter Brown, Denis Vida, Pavel Spurný PDF (OPEN ACCESS) Update (5 March 2021): LINK Journal of Atmospheric and Solar-Terrestrial Physics “Highlights • Fragmentation and ballistic energy estimates by seismic/infrasonic data.• Ballistic trajectory and…
Numerical prediction of meteoric infrasound signaturesOPEN ACCESS
Marian Nemec, Michael J. Aftosmis, Peter G. Brown Planetary and Space Science In Press, Accepted Manuscript, Available online 10 March 2017 LINK (OPEN ACCESS) “We present a thorough validation of a computational approach to predict…
