We present a novel three‐dimensional anisotropic seismic tomography model of the Mediterranean region, achieved through the simultaneous inversion of P‐wave travel‐times and SKS splitting intensity. This dual approach has allowed us to obtain a comprehensive tomographic model that not only delineates the primary structural features of the area but also sheds light on its tectonic evolution. Our findings reveal that the isotropic component of the model is dominated by fast anomalies associated with retreating, stagnant, and detached slab segments including the Alboran, Apennine, and Alpine slabs in the central and western Mediterranean, and the Dinaric, Carpathian, and Hellenic slabs in the east. Slower mantle structures are associated with slab windows and back‐arc basin formation, such as those observed in the Tyrrhenian, Apennine and Hellenic regions. The recovered anisotropic patterns provide crucial insights into the tectonic history of the Mediterranean, highlighting periods of collision and tectonic relaxation. Notably, we observe a range of plunge angles, with both near‐horizontal and steeply dipping anisotropic fabrics present in different regions, reflecting the influence of horizontal and vertical asthenospheric flow. By interpreting the high‐velocity zones as subducting lithosphere, we construct a detailed 3‐D model of the main slabs and analyzed the surrounding P‐ wave anisotropic patterns. This work represents the first comprehensive anisotropic tomography study of the entire Mediterranean region.

Investigating crustal stress beneath volcanoes is critical to understanding the dynamics of eruptions. To this end, seismology represents a powerful monitoring tool. The opening of fluid-filled fractures due to the interplay of different stress sources produces elastic anisotropy within the crust, affecting the propagation of seismic waves. Here we use probabilistic imaging for the inversion of P-wave travel times to map elastic anisotropy of the magmatic system beneath Mt. Etna (Italy). These images provide localized information about fracture orientations and stress below this active volcano. Comparing inferred stress with independent observations and geodynamic modeling, we show evidence of a pressurized magma storage in a radial dike network between 6 and 16 km depth under the volcano. The radial network of vertical dikes constitutes a system of oriented pathways for the upward migration of magma from the depths, leading to eruptive activity from the summit craters and lateral vents at Mount Etna.

The Campi Flegrei caldera has been experiencing volcanic unrest since 2005, rising concern in the population and in local and national authorities. On May 20, 2024, the largest local earthquake ever instrumentally recorded up to that time produced substantial damage, forcing the evacuation of tens of buildings west of the epicenter. At Campi Flegrei, M > 4 earthquakes are rare and their analysis is crucial to understand the unrest dynamics and the relation between rupture and ground shaking pattern, which is essential to mitigate the damage of future earthquakes. We analyse seismic waveforms at local to regional distances to reconstruct the source geometry and kinematics. We estimate millimetric to submillimetric coseismic surface subsidence– below the sensitivity of any standard geodetic technique– which, compared to the general uplift, highlights the crucial role of deep pressurized fluids in earthquakes’ generation. Our results also indicate that rupture directivity and local amplification determined the damage distribution.

Open-conduit basaltic volcanoes are susceptible to sudden transitions from mild activity to violent explosive eruptions with little to no warning. Such was the case at Stromboli in the summer of 2019, when two paroxysmal explosions occurred within approx- imately two months (July 3 and August 28). We apply coda wave interferometry to identify possible transitions in behavior in the build-up to these events, computing seismic velocity changes using five broadband seismic stations on the volcano between 2013–2022. This timeframe encompasses a range of volcanic activity including effusive activity, major explosions and parox- ysms. Cross-correlation functions are computed both between pairs of stations and single-station cross-components in multiple frequency bands that allow the sampling of different depths (between approximately 100–1000 m) within the plumbing system. Shallow velocity changes (1–2 Hz and 2–4 Hz) reveal mid-to-long term precursors prior to the paroxysms in 2019. For example, we observe that 2–4 Hz velocities recorded at the station closest to the active crater show an increase of 0.2–0.3 % relative to velocities recorded at other stations. This increase is largely accumulated from mid-2017, coinciding with previously observed heightened activity at the volcano, peaking approximately one month prior to the first paroxysm. A long-term decrease is also observed in deeper velocity changes (0.5–1.0 Hz) during the same time interval. It is hypothesized that these changes represent greater magma overpressure from increased volatile input from depth. The different response in the shallow subsurface may reflect a local response due to the same source within the vicinity close of the crater terrace. These findings illustrate how coda wave interferometry can provide meaningful insights into the evolving dynamics of open-conduit basaltic volcanoes.

In the frame of the PRIN 2020 NASA4SHA project, a revision of the seismic record of the Ferrara (NE Italy) area was started for the period prior to A.D. 1500. Eleven earthquakes dated from 1234 to 1495 A.D. were considered. Nine of them are listed by the latest Italian parametric catalogue, CPTI15 v. 4.0, with epicentral parameters mostly derived from decade-old reference studies. Other two earthquakes are listed only by the oldest Italian parametric catalogue and had never been studied at all. The evidence available was critically analysed and placed in its proper historical context, special care being paid to a single source that, alone, provides evidence on several earthquakes. Some earthquakes result to have been overestimated, others appear to be non-existent and should be deleted from the catalogue.

Explosive eruptions release significant quantities of tephra, which can spread and settle on the ground, potentially leading to various types of damage and disruption to public infrastructure, including road networks. The quantification of the tephra load is, therefore, of significant interest to evaluate and reduce environmental and socio-economic impact, as well as for managing crises. Tephra dispersal and deposition is a function of multiple factors, including the mass eruption rate (MER), tephra characteristics (size, shape, density), top plume height (HTP), grain size distribution (GSD), and local wind field. In this work, we quantified the tephra mass deposited on the main road network on the east-southeast flanks of Mt Etna (Italy) during lava fountains that occurred in 2021, which reached heights of hundreds of metres. We focused on road connections of municipali- ties significantly affected by these events such as Milo, Santa Venerina, and Zafferana Etnea. First, we analysed a sequence of 39 short-lasting and intense lava fountains detected by the X-band weather radar, applying a volcanic ash radar retrieval approach that permits us to compute the main eruption source parameters (ESPs), such MER, HTP, and GSD. When radar measurements were unavailable for a specific event, we analysed images acquired both by the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) radiometer and by the visible and/or thermal infrared camera of the Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo (Catania), to derive the main ESPs. Second, we used the computed ESPs as inputs to run two different numerical models, Tephra2 and Fall3D, and to reproduce tephra dispersal and accumulation on the road network. Finally, we produce, for the first time, geo-referenced estimates of tephra mass deposited on the whole road network of three municipalities, allowing us to identify the main roads which have been mostly impacted by tephra accumulation, as well as to estimate the total mass of primary tephra that has been removed from roads. Such in- formation represents a valuable input for planning and quick management of the short-term tephra load hazard for future explosive events on Mt Etna.

Strapdown gravity systems are increasingly employed in airborne geophysical exploration and geodetic studies due to advantages such as ease of installation, wide dynamic range, and adaptability to various platforms, including airplanes, helicopters, and large drones. This study presents results from an airborne gravity survey conducted over the northeastern sector of Sardinia (Italy), using a high-resolution strapdown gravity ensuring an accuracy of approximately 1 mGal. Data were collected at an average altitude of 1800 m with a spatial resolution of 3.0 km. The survey focused on the Sos Enattos area near Lula (Nuoro province), a candidate site for the Einstein Telescope (ET), a third-generation gravitational wave observatory. The ideal site is required to be geologically and seismically stable with a well-characterized subsurface. To support this, we performed a new gravity survey to complement existing geological and seismic data aimed at characterizing the mid-to-shallow crustal structure of Sos Enattos. Results show that the strapdown system effectively detects gravity anomalies linked to crustal sources down to ~3.5 km, with particular emphasis within the 1–2 km depth range. Airborne gravity data reveal higher frequency anomalies than those resolved by the EGM2008 global gravity model and show good agreement with local terrestrial gravity data. Forward modeling of the gravity field suggests a crust dominated by alternating high-density metamorphic rocks and granitoid intrusions of the Variscan basement. These findings enhance the geophysical understanding of Sos Enattos and support its candidacy for the ET site.

Assessing Radiative Power (RP) output is essential for monitoring and understanding volcanic systems. While Mid‐Infrared channels are used to assess thermal outputs at volcanoes exhibiting effusive activity, Thermal Infra Red (TIR) bands are better suited for measuring moderate‐to‐low‐temperature(≲600K) features, such as those associated with hydrothermal activity. However, failure to meet key assumptions in TIR‐based calculations results in up to a ∼90% RP underestimation of ≲600 K sources. We thus introduce theTIR‐ based Volcanic Radiative Power (VRPTIR) method to accurately retrieve RP from single‐band TIR (10.5–12 μm) spectral radiance at systems dominated by surface temperatures of ≲600 K, that is, crater lakes and fumarole fields, achieving an uncertainty of ±35%. Comparison with ground truth for Ruapehu, El Chichón, Taal, Vulcano, Puracé, Poás, and White Island demonstrates the accuracy of VRP TIR in quantifying thermal output and detecting subtle variations in volcanic activity. This exportable method will facilitate compilation ofglobal RP inventories for moderate‐to‐low‐temperature volcanic systems.

ASMI, the Italian Archive of Historical Earthquake Data (https://doi.org/10.13127/asmi, Rovida et al., 2017), is a data collection distributed online that currently provides seismological data on more than 6600 earthquakes that have occurred in the Italian peninsula and surrounding areas from 461 BCE to the present, based on more than 460 seismological data sources. ASMI is the Italian node of AHEAD, the European Archive of Historical Earthquake Data, which is, in turn, the European node providing data on historical earthquakes to EPOS ERIC, the European Plate Observing System, a European Research Infrastructure Consortium. ASMI distributes earthquake parameters, sets of macroseismic intensity data, and other details about earthquake effects, along with the bibliographical reference of the data source and, if possible, the data source itself. ASMI’s web portal allows users to query the data by earthquake or by data source and to download the earthquake parameters and macroseismic intensities and represent them on interactive maps and tables. ASMI is updated regularly with new data on past and recent earthquakes. ASMI is the basic source of data for the Italian Macroseismic Database (DBMI) and the Italian Parametric Earthquake Catalogue (CPTI). This article describes the archive content and structure, its main features and functionalities, and its potential seismological research applications.