Recovering and monitoring the thickness, density, and elastic properties of sea ice from seismic noise recorded in Svalbard
International audience Due to global warming, the decline in the Arctic sea ice has been accelerating over the last 4 decades, with a rate that was not anticipated by climate models. To improve these models, there is the need to rely on comprehensive field data. Seismic methods are known for their p...
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Online Access: | https://hal.science/hal-03808786 https://hal.science/hal-03808786/document https://hal.science/hal-03808786/file/tc-16-2527-2022.pdf https://doi.org/10.5194/tc-16-2527-2022 |
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ftinsu:oai:HAL:hal-03808786v1 2024-04-28T08:11:19+00:00 Recovering and monitoring the thickness, density, and elastic properties of sea ice from seismic noise recorded in Svalbard Serripierri, Agathe Moreau, Ludovic Boue, Pierre Weiss, Jérôme Roux, Philippe 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) 2022-06-27 https://hal.science/hal-03808786 https://hal.science/hal-03808786/document https://hal.science/hal-03808786/file/tc-16-2527-2022.pdf https://doi.org/10.5194/tc-16-2527-2022 en eng HAL CCSD Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-16-2527-2022 hal-03808786 https://hal.science/hal-03808786 https://hal.science/hal-03808786/document https://hal.science/hal-03808786/file/tc-16-2527-2022.pdf doi:10.5194/tc-16-2527-2022 info:eu-repo/semantics/OpenAccess ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-03808786 The Cryosphere, 2022, 16, pp.2527 - 2543. ⟨10.5194/tc-16-2527-2022⟩ [SDE.MCG]Environmental Sciences/Global Changes info:eu-repo/semantics/article Journal articles 2022 ftinsu https://doi.org/10.5194/tc-16-2527-2022 2024-04-05T00:31:05Z International audience Due to global warming, the decline in the Arctic sea ice has been accelerating over the last 4 decades, with a rate that was not anticipated by climate models. To improve these models, there is the need to rely on comprehensive field data. Seismic methods are known for their potential to estimate sea-ice thickness and mechanical properties with very good accuracy. However, with the hostile environment and logistical difficulties imposed by the polar regions, seismic studies have remained rare. Due to the rapid technological and methodological progress of the last decade, there has been a recent reconsideration of such approaches. This paper introduces a methodological approach for passive monitoring of both sea-ice thickness and mechanical properties. To demonstrate this concept, we use data from a seismic experiment where an array of 247 geophones was deployed on sea ice in a fjord at Svalbard, between 1 and 24 March 2019. From the continuous recording of the ambient seismic field, the empirical Green function of the seismic waves guided in the ice layer was recovered via the so-called "noise correlation function". Using specific array processing, the multimodal dispersion curves of the ice layer were calculated from the noise correlation function, and then inverted for the thickness and elastic properties of the sea ice via Bayesian inference. The evolution of sea-ice properties was monitored for 24 d, and values are consistent with the literature, as well as with measurements made directly in the field. Article in Journal/Newspaper Arctic Global warming Sea ice Svalbard The Cryosphere Institut national des sciences de l'Univers: HAL-INSU The Cryosphere 16 6 2527 2543 |
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Open Polar |
collection |
Institut national des sciences de l'Univers: HAL-INSU |
op_collection_id |
ftinsu |
language |
English |
topic |
[SDE.MCG]Environmental Sciences/Global Changes |
spellingShingle |
[SDE.MCG]Environmental Sciences/Global Changes Serripierri, Agathe Moreau, Ludovic Boue, Pierre Weiss, Jérôme Roux, Philippe Recovering and monitoring the thickness, density, and elastic properties of sea ice from seismic noise recorded in Svalbard |
topic_facet |
[SDE.MCG]Environmental Sciences/Global Changes |
description |
International audience Due to global warming, the decline in the Arctic sea ice has been accelerating over the last 4 decades, with a rate that was not anticipated by climate models. To improve these models, there is the need to rely on comprehensive field data. Seismic methods are known for their potential to estimate sea-ice thickness and mechanical properties with very good accuracy. However, with the hostile environment and logistical difficulties imposed by the polar regions, seismic studies have remained rare. Due to the rapid technological and methodological progress of the last decade, there has been a recent reconsideration of such approaches. This paper introduces a methodological approach for passive monitoring of both sea-ice thickness and mechanical properties. To demonstrate this concept, we use data from a seismic experiment where an array of 247 geophones was deployed on sea ice in a fjord at Svalbard, between 1 and 24 March 2019. From the continuous recording of the ambient seismic field, the empirical Green function of the seismic waves guided in the ice layer was recovered via the so-called "noise correlation function". Using specific array processing, the multimodal dispersion curves of the ice layer were calculated from the noise correlation function, and then inverted for the thickness and elastic properties of the sea ice via Bayesian inference. The evolution of sea-ice properties was monitored for 24 d, and values are consistent with the literature, as well as with measurements made directly in the field. |
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 |
Serripierri, Agathe Moreau, Ludovic Boue, Pierre Weiss, Jérôme Roux, Philippe |
author_facet |
Serripierri, Agathe Moreau, Ludovic Boue, Pierre Weiss, Jérôme Roux, Philippe |
author_sort |
Serripierri, Agathe |
title |
Recovering and monitoring the thickness, density, and elastic properties of sea ice from seismic noise recorded in Svalbard |
title_short |
Recovering and monitoring the thickness, density, and elastic properties of sea ice from seismic noise recorded in Svalbard |
title_full |
Recovering and monitoring the thickness, density, and elastic properties of sea ice from seismic noise recorded in Svalbard |
title_fullStr |
Recovering and monitoring the thickness, density, and elastic properties of sea ice from seismic noise recorded in Svalbard |
title_full_unstemmed |
Recovering and monitoring the thickness, density, and elastic properties of sea ice from seismic noise recorded in Svalbard |
title_sort |
recovering and monitoring the thickness, density, and elastic properties of sea ice from seismic noise recorded in svalbard |
publisher |
HAL CCSD |
publishDate |
2022 |
url |
https://hal.science/hal-03808786 https://hal.science/hal-03808786/document https://hal.science/hal-03808786/file/tc-16-2527-2022.pdf https://doi.org/10.5194/tc-16-2527-2022 |
genre |
Arctic Global warming Sea ice Svalbard The Cryosphere |
genre_facet |
Arctic Global warming Sea ice Svalbard The Cryosphere |
op_source |
ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-03808786 The Cryosphere, 2022, 16, pp.2527 - 2543. ⟨10.5194/tc-16-2527-2022⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-16-2527-2022 hal-03808786 https://hal.science/hal-03808786 https://hal.science/hal-03808786/document https://hal.science/hal-03808786/file/tc-16-2527-2022.pdf doi:10.5194/tc-16-2527-2022 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/tc-16-2527-2022 |
container_title |
The Cryosphere |
container_volume |
16 |
container_issue |
6 |
container_start_page |
2527 |
op_container_end_page |
2543 |
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1797578794327867392 |