GNGTS 2022 - Atti del 40° Convegno Nazionale

108 GNGTS 2022 Sessione 1.2 2021-2022 HUNGA TONGA-HUNGA HA’APAI ERUPTIONS STUDIED FROM LITHOSPHERE, ATMOSPHERE AND IONOSPHERE S. D’Arcangelo 1,2 , A. Bonforte 1 , A. De Santis 1 , R. Maugeri 1 , L. Perrone 1 , M. Soldani 1 , F. Brogi 1 , M. Calcara 1 , S.A. Campuzano 3 , G. Cianchini 1 , A. Del Corpo 1 , D. Di Mauro 1 , A. Ippolito 1 , S. Lepidi 1 , D. Marchetti 4 , C. Montagna 1 , A. Nardi 1 , M. Orlando 1 , A. Piscini 1 , M. Regi 1 , D. Sabbagh 1 1 Istituto Nazionale di Geofisica e Vulcanologia (INGV), Rome, Italy 2 Complutense University (UCM), Madrid, Spain 3 Instituto de Geociencias IGEO, Madrid, Spain 4 Jilin University, Changchun, China On 15 January 2022 we assisted to the main explosion of the last eruption of Hunga Tonga- Hunga Ha’apai volcano. The volcanic event produced a great impact with a plume that reached the stratosphere and the destruction of most parts of the island due to the enormous energy released, estimated around 50 Megatons of TNT. The Lithosphere-Atmosphere-Ionosphere Coupling (LAIC) model helps us to understand how a single event can produce effects in different geolayers of the Earth. Based on this model, we studied the volcanic explosion taken into account the pre- and post-effects induced by pressure and acoustic-gravity waves. For what concerns the lithosphere, we realized a seismological analysis of the volcanic region, in the subduction zone, convergent plate boundary between the Pacific and Indo-Australian plate, using the USGS catalogue and taking into account their estimated magnitude of 5.8 from the seismic waves produced by the volcanic explosion. Then, passing to the atmospheric data, we applied the CAPRI (Climatological Analysis for Seismic Precursors Identification) algorithm to the ECMWF (European Centre for Medium-range Weather Forecasts) Reanalysis v5 (ERA5) of physical variables related to thermal radiative interaction of atmosphere with surface: skin temperature, air temperature, outgoing longwave radiation, cloud cover, relative humidity, ozone and surface pressure. This method allowed us to individuate anomalies in the time series and see their distribution with respect to the volcano position. In the end, for ionospheric analysis we proceeded to search for possible variations in the magnetic field inside the Dobrovolsky area concerned to the equivalent magnitude inherent to all energy released. The magnetic data was retrieved from the Swarm constellation satellites (Alpha, Bravo, Charlie), and from China Seismo-Electromagnetic Satellite (CSES-01). For this last, we investigated a Langmuir Probes (LAP) for plasma measurements. For Swarm magnetic and electron density data, we downloaded Level 1b data, freely available in the ESA Swarm FTP and HTTP Server.