The Preparation Phase of the 2022 ML 5.7 Offshore Fano (Italy) Earthquake: A Multiparametric–Multilayer Approach

Author:

Orlando Martina12ORCID,De Santis Angelo1ORCID,De Caro Mariagrazia1ORCID,Perrone Loredana1ORCID,A. Campuzano Saioa13ORCID,Cianchini Gianfranco1ORCID,Piscini Alessandro1,D’Arcangelo Serena13ORCID,Calcara Massimo1ORCID,Fidani Cristiano1ORCID,Nardi Adriano1ORCID,Sabbagh Dario1ORCID,Soldani Maurizio1ORCID

Affiliation:

1. Istituto Nazionale di Geofisica e Vulcanologia (INGV), 00143 Rome, Italy

2. Dipartimento di Scienze, Università Roma TRE, 00154 Rome, Italy

3. Department of Physics of the Earth and Astrophysics, Universidad Complutense de Madrid (UCM), 28040 Madrid, Spain

Abstract

This paper presents an analysis of anomalies detected during the preparatory phase of the 9 November 2022 ML = 5.7 earthquake, occurring approximately 30 km off the coast of the Marche region in the Adriatic Sea (Italy). It was the largest earthquake in Italy in the last 5 years. According to lithosphere–atmosphere–ionosphere coupling (LAIC) models, such earthquake could induce anomalies in various observable variables, from the Earth’s surface to the ionosphere. Therefore, a multiparametric and multilayer approach based on ground and satellite data collected in each geolayer was adopted. This included the revised accelerated moment release method, the identification of anomalies in atmospheric parameters, such as Skin Temperature and Outgoing Longwave Radiation, and ionospheric signals, such as Es and F2 layer parameters from ionosonde measurements, magnetic field from Swarm satellites, and energetic electron precipitations from NOAA satellites. Several anomalies were detected in the days preceding the earthquake, revealing that their cumulative occurrence follows an exponential trend from the ground, progressing towards the upper atmosphere and the ionosphere. This progression of anomalies through different geolayers cannot simply be attributed to chance and is likely associated with the preparation phase of this earthquake, supporting the LAIC approach.

Funder

Ministry of University and Research

INGV

Italian Space Agency

Publisher

MDPI AG

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