2D Synthetic dataset of numerical simulations of long-period seismicity in a volcanic edifice and related sensitivity kernels

Title: 2D Synthetic dataset of numerical simulations of long-period seismicity in a volcanic edifice and related sensitivity kernels
Authors: Martínez Montesinos, BeatrizBean, Christopher J.Lokmer, Ivan
Permanent link: http://hdl.handle.net/10197/12475
Date: 1-Feb-2021
Online since: 2021-09-14T11:56:43Z
Abstract: This work describes the data used in the EPSL research article “Quantifying strong seismic propagation effects in the upper volcanic edifice using sensitivity kernels”. The dataset is generated in order to investigate to what extent the seismic signals recorded on volcanoes are affected by near surface velocity structure. Data were calculated using the computational spectral elements scheme SPECFEM2D, where the wave propagation beneath Mount Etna volcano, Italy, was simulated in both homogeneous and heterogeneous models. The heterogeneous model comprises a low-velocity superficial structure (top several hundred meters) based on the previously published studies. Several different source mechanisms and locations were used in the simulations. The seismic wavefield was “recorded” by 15 surface receivers distributed along the surface of the volcano. The associated sensitivity kernels were also computed. These kernels highlight the region of the velocity model that affects the recorded seismogram within a desired time window. The text files describing the velocity models used in the simulations are also provided. The data may be of interest to volcano seismologists, as well as earthquake seismologists studying path effects and wave propagation through complex media.
Funding Details: European Commission - Seventh Framework Programme (FP7)
Type of material: Journal Article
Publisher: Elsevier
Journal: Data in Brief
Volume: 34
Copyright (published version): 2021 the Authors
Keywords: Numerical simulationsVolcanic edificeNear surface velocity structureVolcano seismic sourcesSensitivity kernelsSpecfem2d
DOI: 10.1016/j.dib.2020.106673
Language: en
Status of Item: Peer reviewed
ISSN: 2352-3409
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by/3.0/ie/
Appears in Collections:Earth Sciences Research Collection

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