Antarctic ice-sheet structures retrieved from P-wave coda autocorrelation method and comparisons with two other single-station passive seismic methods
Passive seismology is becoming increasingly popular for glacier/ice-sheet structure investigations in Polar regions. Single-station passive seismic methods including P-wave receiver functions (PRFs), horizontal-to-vertical spectral ratio (HVSR) and a recently proposed autocorrelation method have bee...
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Cambridge University Press
2020
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ftdoajarticles:oai:doaj.org/article:1673c1662b7743b897a0809a74d13f59 2023-05-15T13:33:59+02:00 Antarctic ice-sheet structures retrieved from P-wave coda autocorrelation method and comparisons with two other single-station passive seismic methods Peng Yan Zhiwei Li Fei Li Yuande Yang Weifeng Hao 2020-02-01T00:00:00Z https://doi.org/10.1017/jog.2019.95 https://doaj.org/article/1673c1662b7743b897a0809a74d13f59 EN eng Cambridge University Press https://www.cambridge.org/core/product/identifier/S0022143019000959/type/journal_article https://doaj.org/toc/0022-1430 https://doaj.org/toc/1727-5652 doi:10.1017/jog.2019.95 0022-1430 1727-5652 https://doaj.org/article/1673c1662b7743b897a0809a74d13f59 Journal of Glaciology, Vol 66, Pp 153-165 (2020) Antarctic glaciology glacier geophysics ice-sheet modeling ice thickness measurements seismology Environmental sciences GE1-350 Meteorology. Climatology QC851-999 article 2020 ftdoajarticles https://doi.org/10.1017/jog.2019.95 2023-03-12T01:30:57Z Passive seismology is becoming increasingly popular for glacier/ice-sheet structure investigations in Polar regions. Single-station passive seismic methods including P-wave receiver functions (PRFs), horizontal-to-vertical spectral ratio (HVSR) and a recently proposed autocorrelation method have been used to retrieve glacier/ice-sheet structures. Despite their successful applications, analysis regarding their detection abilities in different glaciological environments has not been reported. In this study, we compare ice thicknesses and vp/vs ratios obtained from the three methods using data collected at GAMSEIS and POLENET/ANET seismic arrays in Antarctica. Ice thickness estimates derived from the three methods are found to be consistent. Comparisons conducted under various model setups, including those involving tiled layers and sedimentary layers, show that the effectiveness of the autocorrelation method is not superior to the PRF method for retrieving ice-sheet structures. The autocorrelation method however can complement other methods as it only requires a single component seismic record. Article in Journal/Newspaper Antarc* Antarctic Antarctica Ice Sheet Journal of Glaciology Directory of Open Access Journals: DOAJ Articles Antarctic Anet ENVELOPE(27.987,27.987,65.920,65.920) Journal of Glaciology 66 255 153 165 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Antarctic glaciology glacier geophysics ice-sheet modeling ice thickness measurements seismology Environmental sciences GE1-350 Meteorology. Climatology QC851-999 |
spellingShingle |
Antarctic glaciology glacier geophysics ice-sheet modeling ice thickness measurements seismology Environmental sciences GE1-350 Meteorology. Climatology QC851-999 Peng Yan Zhiwei Li Fei Li Yuande Yang Weifeng Hao Antarctic ice-sheet structures retrieved from P-wave coda autocorrelation method and comparisons with two other single-station passive seismic methods |
topic_facet |
Antarctic glaciology glacier geophysics ice-sheet modeling ice thickness measurements seismology Environmental sciences GE1-350 Meteorology. Climatology QC851-999 |
description |
Passive seismology is becoming increasingly popular for glacier/ice-sheet structure investigations in Polar regions. Single-station passive seismic methods including P-wave receiver functions (PRFs), horizontal-to-vertical spectral ratio (HVSR) and a recently proposed autocorrelation method have been used to retrieve glacier/ice-sheet structures. Despite their successful applications, analysis regarding their detection abilities in different glaciological environments has not been reported. In this study, we compare ice thicknesses and vp/vs ratios obtained from the three methods using data collected at GAMSEIS and POLENET/ANET seismic arrays in Antarctica. Ice thickness estimates derived from the three methods are found to be consistent. Comparisons conducted under various model setups, including those involving tiled layers and sedimentary layers, show that the effectiveness of the autocorrelation method is not superior to the PRF method for retrieving ice-sheet structures. The autocorrelation method however can complement other methods as it only requires a single component seismic record. |
format |
Article in Journal/Newspaper |
author |
Peng Yan Zhiwei Li Fei Li Yuande Yang Weifeng Hao |
author_facet |
Peng Yan Zhiwei Li Fei Li Yuande Yang Weifeng Hao |
author_sort |
Peng Yan |
title |
Antarctic ice-sheet structures retrieved from P-wave coda autocorrelation method and comparisons with two other single-station passive seismic methods |
title_short |
Antarctic ice-sheet structures retrieved from P-wave coda autocorrelation method and comparisons with two other single-station passive seismic methods |
title_full |
Antarctic ice-sheet structures retrieved from P-wave coda autocorrelation method and comparisons with two other single-station passive seismic methods |
title_fullStr |
Antarctic ice-sheet structures retrieved from P-wave coda autocorrelation method and comparisons with two other single-station passive seismic methods |
title_full_unstemmed |
Antarctic ice-sheet structures retrieved from P-wave coda autocorrelation method and comparisons with two other single-station passive seismic methods |
title_sort |
antarctic ice-sheet structures retrieved from p-wave coda autocorrelation method and comparisons with two other single-station passive seismic methods |
publisher |
Cambridge University Press |
publishDate |
2020 |
url |
https://doi.org/10.1017/jog.2019.95 https://doaj.org/article/1673c1662b7743b897a0809a74d13f59 |
long_lat |
ENVELOPE(27.987,27.987,65.920,65.920) |
geographic |
Antarctic Anet |
geographic_facet |
Antarctic Anet |
genre |
Antarc* Antarctic Antarctica Ice Sheet Journal of Glaciology |
genre_facet |
Antarc* Antarctic Antarctica Ice Sheet Journal of Glaciology |
op_source |
Journal of Glaciology, Vol 66, Pp 153-165 (2020) |
op_relation |
https://www.cambridge.org/core/product/identifier/S0022143019000959/type/journal_article https://doaj.org/toc/0022-1430 https://doaj.org/toc/1727-5652 doi:10.1017/jog.2019.95 0022-1430 1727-5652 https://doaj.org/article/1673c1662b7743b897a0809a74d13f59 |
op_doi |
https://doi.org/10.1017/jog.2019.95 |
container_title |
Journal of Glaciology |
container_volume |
66 |
container_issue |
255 |
container_start_page |
153 |
op_container_end_page |
165 |
_version_ |
1766047664058662912 |