Accurate Estimations of Sea-Ice Thickness and Elastic Properties From Seismic Noise Recorded With a Minimal Number of Geophones: From Thin Landfast Ice to Thick Pack Ice
International audience Despite their high potential for accurate sea ice properties estimation, seismic methods are still limited by the difficulty of access and the challenging logistics of polar environments. Conventional seismic methods generally require tens of geophones together with active sei...
Published in: | Journal of Geophysical Research: Oceans |
---|---|
Main Authors: | , , |
Other Authors: | , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2020
|
Subjects: | |
Online Access: | https://insu.hal.science/insu-03594474 https://insu.hal.science/insu-03594474/document https://insu.hal.science/insu-03594474/file/JGR%20Oceans%20-%202020%20-%20Moreau%20-%20Accurate%20Estimations%20of%20Sea%25E2%2580%2590Ice%20Thickness%20and%20Elastic%20Properties%20From%20Seismic%20Noise%20Recorded.pdf https://doi.org/10.1029/2020JC016492 |
id |
ftunivsavoie:oai:HAL:insu-03594474v1 |
---|---|
record_format |
openpolar |
spelling |
ftunivsavoie:oai:HAL:insu-03594474v1 2024-04-21T07:55:48+00:00 Accurate Estimations of Sea-Ice Thickness and Elastic Properties From Seismic Noise Recorded With a Minimal Number of Geophones: From Thin Landfast Ice to Thick Pack Ice Moreau, Ludovic Weiss, Jérôme Marsan, David Institut des Sciences de la Terre (ISTerre) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Gustave Eiffel-Université Grenoble Alpes (UGA) 2020 https://insu.hal.science/insu-03594474 https://insu.hal.science/insu-03594474/document https://insu.hal.science/insu-03594474/file/JGR%20Oceans%20-%202020%20-%20Moreau%20-%20Accurate%20Estimations%20of%20Sea%25E2%2580%2590Ice%20Thickness%20and%20Elastic%20Properties%20From%20Seismic%20Noise%20Recorded.pdf https://doi.org/10.1029/2020JC016492 en eng HAL CCSD Wiley-Blackwell info:eu-repo/semantics/altIdentifier/doi/10.1029/2020JC016492 insu-03594474 https://insu.hal.science/insu-03594474 https://insu.hal.science/insu-03594474/document https://insu.hal.science/insu-03594474/file/JGR%20Oceans%20-%202020%20-%20Moreau%20-%20Accurate%20Estimations%20of%20Sea%25E2%2580%2590Ice%20Thickness%20and%20Elastic%20Properties%20From%20Seismic%20Noise%20Recorded.pdf BIBCODE: 2020JGRC.12516492M doi:10.1029/2020JC016492 http://hal.archives-ouvertes.fr/licences/copyright/ info:eu-repo/semantics/OpenAccess ISSN: 2169-9275 EISSN: 2169-9291 Journal of Geophysical Research. Oceans https://insu.hal.science/insu-03594474 Journal of Geophysical Research. Oceans, 2020, 125, pp.2141-2167. ⟨10.1029/2020JC016492⟩ monitoring sea ice seismic noise [SDU]Sciences of the Universe [physics] info:eu-repo/semantics/article Journal articles 2020 ftunivsavoie https://doi.org/10.1029/2020JC016492 2024-04-11T00:33:51Z International audience Despite their high potential for accurate sea ice properties estimation, seismic methods are still limited by the difficulty of access and the challenging logistics of polar environments. Conventional seismic methods generally require tens of geophones together with active seismic sources for monitoring applications. While this is not an issue for mainland environment, it is restrictive for sea ice and prevents long-term monitoring. We introduce a method to estimate sea ice thickness and elastic properties from passive recordings of the ambient seismic field with a minimal number of geophones. In comparison with our previous work (Moreau et al., 2020; https://doi.org/10.1029/2019JC015709 ) where about 50 sensors were used, the number of geophones is reduced by 1 order of magnitude, thanks to a new strategy of inversion of the passive seismic data. The method combines noise interferometry for estimating the elastic properties, with a Bayesian inversion of the dispersion in the waveforms of icequakes for inferring ice thickness, based on passive recordings from only 3-5 geophones, depending on the signal to noise ratio. We demonstrate its potential both on data recorded on thin landfast ice in Svalbard, and on data recorded on thick pack ice in the Arctic ocean. Article in Journal/Newspaper Arctic Ocean Sea ice Svalbard Université Savoie Mont Blanc: HAL Journal of Geophysical Research: Oceans 125 11 |
institution |
Open Polar |
collection |
Université Savoie Mont Blanc: HAL |
op_collection_id |
ftunivsavoie |
language |
English |
topic |
monitoring sea ice seismic noise [SDU]Sciences of the Universe [physics] |
spellingShingle |
monitoring sea ice seismic noise [SDU]Sciences of the Universe [physics] Moreau, Ludovic Weiss, Jérôme Marsan, David Accurate Estimations of Sea-Ice Thickness and Elastic Properties From Seismic Noise Recorded With a Minimal Number of Geophones: From Thin Landfast Ice to Thick Pack Ice |
topic_facet |
monitoring sea ice seismic noise [SDU]Sciences of the Universe [physics] |
description |
International audience Despite their high potential for accurate sea ice properties estimation, seismic methods are still limited by the difficulty of access and the challenging logistics of polar environments. Conventional seismic methods generally require tens of geophones together with active seismic sources for monitoring applications. While this is not an issue for mainland environment, it is restrictive for sea ice and prevents long-term monitoring. We introduce a method to estimate sea ice thickness and elastic properties from passive recordings of the ambient seismic field with a minimal number of geophones. In comparison with our previous work (Moreau et al., 2020; https://doi.org/10.1029/2019JC015709 ) where about 50 sensors were used, the number of geophones is reduced by 1 order of magnitude, thanks to a new strategy of inversion of the passive seismic data. The method combines noise interferometry for estimating the elastic properties, with a Bayesian inversion of the dispersion in the waveforms of icequakes for inferring ice thickness, based on passive recordings from only 3-5 geophones, depending on the signal to noise ratio. We demonstrate its potential both on data recorded on thin landfast ice in Svalbard, and on data recorded on thick pack ice in the Arctic ocean. |
author2 |
Institut des Sciences de la Terre (ISTerre) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Gustave Eiffel-Université Grenoble Alpes (UGA) |
format |
Article in Journal/Newspaper |
author |
Moreau, Ludovic Weiss, Jérôme Marsan, David |
author_facet |
Moreau, Ludovic Weiss, Jérôme Marsan, David |
author_sort |
Moreau, Ludovic |
title |
Accurate Estimations of Sea-Ice Thickness and Elastic Properties From Seismic Noise Recorded With a Minimal Number of Geophones: From Thin Landfast Ice to Thick Pack Ice |
title_short |
Accurate Estimations of Sea-Ice Thickness and Elastic Properties From Seismic Noise Recorded With a Minimal Number of Geophones: From Thin Landfast Ice to Thick Pack Ice |
title_full |
Accurate Estimations of Sea-Ice Thickness and Elastic Properties From Seismic Noise Recorded With a Minimal Number of Geophones: From Thin Landfast Ice to Thick Pack Ice |
title_fullStr |
Accurate Estimations of Sea-Ice Thickness and Elastic Properties From Seismic Noise Recorded With a Minimal Number of Geophones: From Thin Landfast Ice to Thick Pack Ice |
title_full_unstemmed |
Accurate Estimations of Sea-Ice Thickness and Elastic Properties From Seismic Noise Recorded With a Minimal Number of Geophones: From Thin Landfast Ice to Thick Pack Ice |
title_sort |
accurate estimations of sea-ice thickness and elastic properties from seismic noise recorded with a minimal number of geophones: from thin landfast ice to thick pack ice |
publisher |
HAL CCSD |
publishDate |
2020 |
url |
https://insu.hal.science/insu-03594474 https://insu.hal.science/insu-03594474/document https://insu.hal.science/insu-03594474/file/JGR%20Oceans%20-%202020%20-%20Moreau%20-%20Accurate%20Estimations%20of%20Sea%25E2%2580%2590Ice%20Thickness%20and%20Elastic%20Properties%20From%20Seismic%20Noise%20Recorded.pdf https://doi.org/10.1029/2020JC016492 |
genre |
Arctic Ocean Sea ice Svalbard |
genre_facet |
Arctic Ocean Sea ice Svalbard |
op_source |
ISSN: 2169-9275 EISSN: 2169-9291 Journal of Geophysical Research. Oceans https://insu.hal.science/insu-03594474 Journal of Geophysical Research. Oceans, 2020, 125, pp.2141-2167. ⟨10.1029/2020JC016492⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1029/2020JC016492 insu-03594474 https://insu.hal.science/insu-03594474 https://insu.hal.science/insu-03594474/document https://insu.hal.science/insu-03594474/file/JGR%20Oceans%20-%202020%20-%20Moreau%20-%20Accurate%20Estimations%20of%20Sea%25E2%2580%2590Ice%20Thickness%20and%20Elastic%20Properties%20From%20Seismic%20Noise%20Recorded.pdf BIBCODE: 2020JGRC.12516492M doi:10.1029/2020JC016492 |
op_rights |
http://hal.archives-ouvertes.fr/licences/copyright/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1029/2020JC016492 |
container_title |
Journal of Geophysical Research: Oceans |
container_volume |
125 |
container_issue |
11 |
_version_ |
1796938047309217792 |