RT Journal Article
T1 A multi-parametric and multi-layer study to investigate the largest 2022 Hunga Tonga–Hunga Ha’apai eruptions
A1 D’Arcangelo, Serena
A1 Bonforte, Alessandro
A1 De Santis, Angelo
A1 Maugeri, Salvatore Roberto
A1 Perrone, Loredana
A1 Soldani, Maurizio
A1 Arena, Giovanni
A1 Brogi, Federico
A1 Calcara, Massimo
A1 Campuzano, Saioa A.
A1 Cianchini, Gianfranco
A1 Del Corpo, Alfredo
A1 Di Mauro, Domenico
A1 Fidani, Cristiano
A1 Ippolito, Alessandro
A1 Lepidi, Stefania
A1 Marchetti, Dedalo
A1 Nardi, Adriano
A1 Orlando, Martina
A1 Piscini, Alessandro
A1 Regi, Mauro
A1 Sabbagh, Dario
A1 Zhima, Zeren
A1 Yan, Rui
AB On 20 December 2021, after six quiet years, the Hunga Tonga-Hunga Ha'apai volcano erupted abruptly. Then, on 15 January 2022, the largest eruption produced a plume well registered from satellites and destroyed the volcanic cone previously formed in 2015, connecting the two islands. We applied a multi-parametric and multi-layer study to investigate all the possible pre-eruption signals and effects of this volcanic activity in the lithosphere, atmosphere, and ionosphere. We focused our attention on: (a) seismological features considering the eruption in terms of an earthquake with equivalent energy released in the lithosphere; (b) atmospheric parameters, such as skin and air temperature, outgoing longwave radiation (OLR), cloud cover, relative humidity from climatological datasets; (c) varying magnetic field and electron density observed by ground magnetometers and satellites, even if the event was in the recovery phase of an intense geomagnetic storm. We found different precursors of this unique event in the lithosphere, as well as the effects due to the propagation of acoustic gravity and pressure waves and magnetic and electromagnetic coupling in the form of signals detected by ground stations and satellite data. All these parameters and their detailed investigation confirm the lithosphere-atmosphere-ionosphere coupling (LAIC) models introduced for natural hazards such as volcano eruptions and earthquakes.
SN 2072-4292
YR 2022
FD 2022-07-29
LK https://hdl.handle.net/20.500.14352/73247
UL https://hdl.handle.net/20.500.14352/73247
LA eng
NO © 2022 by the authors.Funding: This work has been funded partly by the Italian Ministry of University and Research in theframework of the Working Earth (Pianeta Dinamico) Project and partly by the Italian Space Agencywithin Limadou Science + Project.Acknowledgments: We would like to thank Sodankylä Geophysical Observatory for providing uswith search coil magnetometer spectrograms; CSNA and CEA for providing CSES data; ESA forproviding Swarm satellite data and INTERMAGNET for providing the magnetic data from groundobservatories. We also thank ISPRA for providing tidegauge data used in this article. Thank forthe academic editor and reviewers for improving our manuscript with their comments. Finally, apersonal thank you to Gaetano De Luca for sharing his seismological experience in the review phaseof the paper.
NO Italian Ministry of University and Research
NO Agenzia Spaziale Italiana (ASI)
DS Docta Complutense
RD 1 may 2024