Remote Sensing (Jul 2022)

A Multi-Parametric and Multi-Layer Study to Investigate the Largest 2022 Hunga Tonga–Hunga Ha’apai Eruptions

  • Serena D’Arcangelo,
  • Alessandro Bonforte,
  • Angelo De Santis,
  • Salvatore Roberto Maugeri,
  • Loredana Perrone,
  • Maurizio Soldani,
  • Giovanni Arena,
  • Federico Brogi,
  • Massimo Calcara,
  • Saioa A. Campuzano,
  • Gianfranco Cianchini,
  • Alfredo Del Corpo,
  • Domenico Di Mauro,
  • Cristiano Fidani,
  • Alessandro Ippolito,
  • Stefania Lepidi,
  • Dedalo Marchetti,
  • Adriano Nardi,
  • Martina Orlando,
  • Alessandro Piscini,
  • Mauro Regi,
  • Dario Sabbagh,
  • Zeren Zhima,
  • Rui Yan

DOI
https://doi.org/10.3390/rs14153649
Journal volume & issue
Vol. 14, no. 15
p. 3649

Abstract

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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.

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