EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Swell and thunder : infrasound signatures of Mediterranean hurricanes

Constantino Listowski1, Edouard Forestier2, Stavros Dafis3,4,5, Thomas Farges1, Marine De Carlo6, Florian Grimaldi7, Alexis Le Pichon1, Julien Vergoz1, Philippe Heinrich1, and Chantal Claud4
Constantino Listowski et al.
  • 1CEA/DAM/DIF, Earth Science, Arpajon, France (
  • 2ENSTA Paris—École Nationale Supérieure de Techniques Avancées, 91762 Palaiseau, France
  • 3National Observatory of Athens, Institute for Environmental Research and Sustainable Development, 15236 Athens, Greece
  • 4LMD/IPSL, CNRS UMR 8539, École Polytechnique, Université Paris Saclay, ENS, PSL Research University, Sorbonne Universités, UPMC Univ Paris 06, 91128 Palaiseau, France
  • 5Data4Risk, 75015 Paris, France
  • 6Univ Brest, CNRS, IFREMER, IRD, Laboratoire d’Océanographie Physique et Spatiale (LOPS), IUEM, 29280 Plouzané, France
  • 7ENSIM, Le Mans Univeristy, 72085 Le Mans, France

Infrasound detections of Mediterranean cyclones known as medicanes (for « Mediterranean hurricanes ») are demonstrated in low- and high- frequency ranges, respectively. We summarize the main findings of a recently published study [1]. We use data from the infrasound station IS48 of the International Monitoring System, in Tunisia, to investigate the infrasound signatures of these meso-cyclones, using a multi-channel correlation algorithm. We discuss cases of detections and non-detections, based on the state of the middle atmosphere and of the wind noise measured at the station. Detections and likely sources are discussed in light of other datasets, comprising satellite observations of deep convection [2] and cloud-to-ground lightning detections from a ground-based network. Detections of infrasound emitted by the cyclone-related swell are modelled using a microbarom source model [3] and are in agreement with observations, comforting the identification of the lower frequency sources. This multi-technology and modelling approach allows to discuss the various sources at plat that may contribute to the monitoring of such extreme meteorological events.

[1] Listowski, C.; Forestier, E.; Dafis, S.; Farges, T.; De Carlo, M.; Grimaldi, F.; Le Pichon, A.; Vergoz, J.; Heinrich, P.; Claud, C. Remote Monitoring of Mediterranean Hurricanes Using Infrasound. Remote Sens. 2022, 14, 6162.

[2] Dafis, S.; Claud, C.; Kotroni, V.; Lagouvardos, K.; Rysman, J. Insights into the convective evolution of Mediterranean tropical-like cyclones. Q. J. R. Meteorol. Soc. 2020, 146, 4147–4169.

[3] De Carlo, M.; Accensi, M.; Ardhuin, F.; Le Pichon, A. ARROW (AtmospheRic InfRasound by Ocean Waves): A new real-time product for global ambient noise monitoring. In Proceedings of the EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022


How to cite: Listowski, C., Forestier, E., Dafis, S., Farges, T., De Carlo, M., Grimaldi, F., Le Pichon, A., Vergoz, J., Heinrich, P., and Claud, C.: Swell and thunder : infrasound signatures of Mediterranean hurricanes, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-6609,, 2023.