2026-10-11T06:56:33Z https://oai.datacite.org/oai

doi:10.13127/etnadvvnoise/v1.0 2025-04-23T13:27:59Z WNGN CRUI.INGV

3 CRUI.INGV 10.13127/ETNADVVNOISE/V1.0 Büyükakpınar, Pınar Pınar Büyükakpınar https://orcid.org/0000-0001-8461-674X Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum (GFZ) Cannata, Andrea Andrea Cannata https://orcid.org/0000-0002-0028-5822 University of Catania (UniCT) Cannavò, Flavio Flavio Cannavò https://orcid.org/0000-0001-7550-8579 Istituto Nazionale di Geofisica e Vulcanologia (INGV) De Plaen, Raphael Raphael De Plaen https://orcid.org/0000-0003-3477-2001 Royal Observatory of Belgium (ROB) Lecocq, Thomas Thomas Lecocq https://orcid.org/0000-0002-4988-6477 Royal Observatory of Belgium (ROB) Istituto Nazionale di Geofisica e Vulcanologia (INGV) 2022 Time series of mean variation of seismic velocity at Mt. Etna estimated by seismic ambient noise interferometry. Seismic velocity Seismic ambient noise Istituto Nazionale di Geofisica e Vulcanologia (INGV) https://ror.org/00qps9a02 2005-01-01/2022-11-10 2022-11-10 en 10.1029/2022jb025024 176 kB text/csv 1.0 Open Access Creative Commons Attribution 4.0 International The raw seismic data is band-pass filtered between 1.0-2.0 Hz, down-sampled from 100 to 20 Hz, and de-trended. Daily traces is segmented into 1-hr windows, winsorizing (clipping) at 3 Root Mean Square (RMS), and spectral whitening in the 1.0–2.0 Hz frequency band is applied before cross-correlation (Bensen et al., 2007; Lecocq et al., 2014). The resulting daily CCFs are then stacked using the time-frequency phase-weighted stacking method (tf-PWS; Schimmel & Paulssen, 1997) for 1,5,10,30 days for each station pair to increase the signal-to-noise-ratio. The reference period spans between 2017-01-01 and 2017-12-31. Daily variations in seismic velocity are computed using the Moving Window Cross-Spectrum analysis (MWCS; Ratdomopurbo & Poupinet, 1995) between a daily and a reference CCF. The resulting time series for each possible pair of stations on Etna volcano are finally combined in a single median variation of seismic velocity for the network. Mt. Etna, Sicily, Italy