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

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 surf...

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Detalles Bibliográficos
Autores principales: Martínez Montesinos, Beatriz, Bean, Christopher J., Lokmer, Ivan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7841316/
https://www.ncbi.nlm.nih.gov/pubmed/33537366
http://dx.doi.org/10.1016/j.dib.2020.106673
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author Martínez Montesinos, Beatriz
Bean, Christopher J.
Lokmer, Ivan
author_facet Martínez Montesinos, Beatriz
Bean, Christopher J.
Lokmer, Ivan
author_sort Martínez Montesinos, Beatriz
collection PubMed
description 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.
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spelling pubmed-78413162021-02-02 2D Synthetic dataset of numerical simulations of long-period seismicity in a volcanic edifice and related sensitivity kernels() Martínez Montesinos, Beatriz Bean, Christopher J. Lokmer, Ivan Data Brief Data Article 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. Elsevier 2021-01-25 /pmc/articles/PMC7841316/ /pubmed/33537366 http://dx.doi.org/10.1016/j.dib.2020.106673 Text en © 2021 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Martínez Montesinos, Beatriz
Bean, Christopher J.
Lokmer, Ivan
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()
title_full 2D Synthetic dataset of numerical simulations of long-period seismicity in a volcanic edifice and related sensitivity kernels()
title_fullStr 2D Synthetic dataset of numerical simulations of long-period seismicity in a volcanic edifice and related sensitivity kernels()
title_full_unstemmed 2D Synthetic dataset of numerical simulations of long-period seismicity in a volcanic edifice and related sensitivity kernels()
title_short 2D Synthetic dataset of numerical simulations of long-period seismicity in a volcanic edifice and related sensitivity kernels()
title_sort 2d synthetic dataset of numerical simulations of long-period seismicity in a volcanic edifice and related sensitivity kernels()
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7841316/
https://www.ncbi.nlm.nih.gov/pubmed/33537366
http://dx.doi.org/10.1016/j.dib.2020.106673
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