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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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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. |
format | Online Article Text |
id | pubmed-7841316 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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