Articles | Volume 14, issue 9
https://doi.org/10.5194/essd-14-4201-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-4201-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
13 Sep 2022
Data description paper |
| 13 Sep 2022
| 13 Sep 2022
International Monitoring System infrasound data products for atmospheric studies and civilian applications
B4.3, BGR, 30655 Hanover, Germany
Lars Ceranna
B4.3, BGR, 30655 Hanover, Germany
Alexis Le Pichon
DAM/DIF, CEA, 91297 Arpajon, France
Robin S. Matoza
Department of Earth Science and Earth Research Institute,
University of California, Santa Barbara, CA, USA
Pierrick Mialle
IDC, CTBTO, Vienna, Austria
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Cited
16 citations as recorded by crossref.
- Acoustic Rocket Signatures Collected by Smartphones S. Popenhagen & M. Garcés 10.3390/signals6010005
- Numerical Simulations of Seismoacoustic Nuisance Patterns from an Induced M 1.8 Earthquake in the Helsinki, Southern Finland, Metropolitan Area L. Krenz et al. 10.1785/0120220225
- Atmospheric infrasound disturbances during the large 2013 May 22 solar energetic particle event O. Ivantyshyn et al. 10.1016/j.jastp.2025.106547
- Evaluating the temporal capability of empirical climatologies for rapid long-range volcanic infrasound propagation estimates using a multidecadal data set of persistent Vanuatu volcanic eruptions R. De Negri et al. 10.1093/gji/ggaf027
- IMS observations of infrasound and acoustic-gravity waves produced by the January 2022 volcanic eruption of Hunga, Tonga: A global analysis J. Vergoz et al. 10.1016/j.epsl.2022.117639
- Detecting explosive volcanism using global long-range infrasound data D. Gheri et al. 10.1016/j.jvolgeores.2025.108320
- A Deep Learning Approach for Distant Infrasound Signals Classification X. Tan et al. 10.3390/s25072058
- Modelling and validation of defects on infrasound wind-noise-reduction pipe systems S. Kristoffersen et al. 10.1121/10.0017319
- Infrasound Detection Using Polymer Networks in Liquid Films M. Mittmann et al. 10.1109/LSENS.2024.3390810
- On-site infrasound calibration to correct wave parameter estimation S. Kristoffersen et al. 10.1121/10.0025131
- The barometric-pressure sensor as a comparison-calibration reference for acoustics from 0.01 to 10 hertz T. Gabrielson et al. 10.1121/10.0036659
- Infrasound uncertainty propagation: Ensuring traceability from the laboratory to the field S. Kristoffersen et al. 10.1121/10.0036380
- Stratospheric Balloon Observations of Infrasound Waves From the 15 January 2022 Hunga Eruption, Tonga A. Podglajen et al. 10.1029/2022GL100833
- The Korean infrasound catalogue (1999–2022) J. Park et al. 10.1093/gji/ggae277
- Updated Global Reference Models of Broadband Coherent Infrasound Signals for Atmospheric Studies and Civilian Applications S. Kristoffersen et al. 10.1029/2022EA002222
- Long‐Range Multi‐Year Infrasonic Detection of Eruptive Activity at Mount Michael Volcano, South Sandwich Islands R. De Negri et al. 10.1029/2021GL096061
14 citations as recorded by crossref.
- Acoustic Rocket Signatures Collected by Smartphones S. Popenhagen & M. Garcés 10.3390/signals6010005
- Numerical Simulations of Seismoacoustic Nuisance Patterns from an Induced M 1.8 Earthquake in the Helsinki, Southern Finland, Metropolitan Area L. Krenz et al. 10.1785/0120220225
- Atmospheric infrasound disturbances during the large 2013 May 22 solar energetic particle event O. Ivantyshyn et al. 10.1016/j.jastp.2025.106547
- Evaluating the temporal capability of empirical climatologies for rapid long-range volcanic infrasound propagation estimates using a multidecadal data set of persistent Vanuatu volcanic eruptions R. De Negri et al. 10.1093/gji/ggaf027
- IMS observations of infrasound and acoustic-gravity waves produced by the January 2022 volcanic eruption of Hunga, Tonga: A global analysis J. Vergoz et al. 10.1016/j.epsl.2022.117639
- Detecting explosive volcanism using global long-range infrasound data D. Gheri et al. 10.1016/j.jvolgeores.2025.108320
- A Deep Learning Approach for Distant Infrasound Signals Classification X. Tan et al. 10.3390/s25072058
- Modelling and validation of defects on infrasound wind-noise-reduction pipe systems S. Kristoffersen et al. 10.1121/10.0017319
- Infrasound Detection Using Polymer Networks in Liquid Films M. Mittmann et al. 10.1109/LSENS.2024.3390810
- On-site infrasound calibration to correct wave parameter estimation S. Kristoffersen et al. 10.1121/10.0025131
- The barometric-pressure sensor as a comparison-calibration reference for acoustics from 0.01 to 10 hertz T. Gabrielson et al. 10.1121/10.0036659
- Infrasound uncertainty propagation: Ensuring traceability from the laboratory to the field S. Kristoffersen et al. 10.1121/10.0036380
- Stratospheric Balloon Observations of Infrasound Waves From the 15 January 2022 Hunga Eruption, Tonga A. Podglajen et al. 10.1029/2022GL100833
- The Korean infrasound catalogue (1999–2022) J. Park et al. 10.1093/gji/ggae277
2 citations as recorded by crossref.
- Updated Global Reference Models of Broadband Coherent Infrasound Signals for Atmospheric Studies and Civilian Applications S. Kristoffersen et al. 10.1029/2022EA002222
- Long‐Range Multi‐Year Infrasonic Detection of Eruptive Activity at Mount Michael Volcano, South Sandwich Islands R. De Negri et al. 10.1029/2021GL096061
Latest update: 08 Jun 2025
Short summary
Sound waves with frequencies below the human hearing threshold can travel long distances through the atmosphere. A global network of sensors records such infrasound to detect clandestine nuclear tests in the atmosphere. These data are generally not public. This study provides four data products based on global infrasound signal detections to make infrasound data available to a broad community. This will advance the use of infrasound observations for scientific studies and civilian applications.
Sound waves with frequencies below the human hearing threshold can travel long distances through...
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