Monitoring sea ice properties from seismic noise
Over the past four decades, the decline in the extent and thickness of Arctic sea ice has accelerated dramatically due to global warming. The rate of this decline is much faster than predicted by existing climate models. The evolution of the decline in the extent and average thickness of sea ice is...
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ftinsu:oai:HAL:tel-04137571v1 2024-04-28T08:12:20+00:00 Monitoring sea ice properties from seismic noise Surveillance des propriétés de la glace de mer à partir du bruit sismique Serripierri, Agathe 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) Université Grenoble Alpes 2020-. Ludovic Moreau 2023-03-16 https://theses.hal.science/tel-04137571 https://theses.hal.science/tel-04137571/document https://theses.hal.science/tel-04137571/file/SERRIPIERRI_2023_archivage.pdf fr fre HAL CCSD NNT: 2023GRALU007 tel-04137571 https://theses.hal.science/tel-04137571 https://theses.hal.science/tel-04137571/document https://theses.hal.science/tel-04137571/file/SERRIPIERRI_2023_archivage.pdf info:eu-repo/semantics/OpenAccess https://theses.hal.science/tel-04137571 Milieux et Changements globaux. Université Grenoble Alpes [2020-.], 2023. Français. ⟨NNT : 2023GRALU007⟩ Seismic noise Guided waves Mechanical properties Thickness Sea ice Icequakes Épaisseur Ondes guidées Banquise Propriétés mécaniques Bruit sismique Tremblements de glace [SDE.MCG]Environmental Sciences/Global Changes info:eu-repo/semantics/doctoralThesis Theses 2023 ftinsu 2024-04-05T00:29:02Z Over the past four decades, the decline in the extent and thickness of Arctic sea ice has accelerated dramatically due to global warming. The rate of this decline is much faster than predicted by existing climate models. The evolution of the decline in the extent and average thickness of sea ice is subject to thermodynamic processes that are affected by important parameters, such as the mechanical properties and thickness of the ice. Although the physical processes explaining this decline are understood, sea ice and climate models do not clearly reproduce the observed variations. Therefore, continuous and accurate monitoring of these parameters is essential given the need to update our climate models.The use of seismic methods to study sea ice has long been neglected despite their potential for very accurate estimates of ice properties. However, thanks to rapid technological and methodological advances in the last decade, these approaches have recently been reconsidered.Part of this thesis aims to prove the concept of a methodology based on the measurement of guided seismic waves in ice to estimate its Young's modulus, Poisson's ratio, density and thickness in different directions using ambient seismic noise recorded by a dense array of sensors. To illustrate the potential of this method, we present the exploitation of continuous seismic data recorded by an autonomous array of 247 geophones deployed between March 1 and 24, 2019, on the fast ice of Lake Vallunden, Van Mijen Fjord, Norwegian Svalbard Archipelago.The method consists of extracting a noise correlation function and then inverting the dispersion curves of guided modes propagating in the sea ice. To calculate the daily noise correlation function, we show that selecting time windows where the dominant seismic source is aligned with the receivers significantly improves the signal-to-noise ratio. The dispersion curves of the three fundamental guided modes are inverted with MCMC sampling to derive the probability density function of the sea ice parameters. ... Doctoral or Postdoctoral Thesis Arctic banquise Global warming Sea ice Svalbard Institut national des sciences de l'Univers: HAL-INSU |
institution |
Open Polar |
collection |
Institut national des sciences de l'Univers: HAL-INSU |
op_collection_id |
ftinsu |
language |
French |
topic |
Seismic noise Guided waves Mechanical properties Thickness Sea ice Icequakes Épaisseur Ondes guidées Banquise Propriétés mécaniques Bruit sismique Tremblements de glace [SDE.MCG]Environmental Sciences/Global Changes |
spellingShingle |
Seismic noise Guided waves Mechanical properties Thickness Sea ice Icequakes Épaisseur Ondes guidées Banquise Propriétés mécaniques Bruit sismique Tremblements de glace [SDE.MCG]Environmental Sciences/Global Changes Serripierri, Agathe Monitoring sea ice properties from seismic noise |
topic_facet |
Seismic noise Guided waves Mechanical properties Thickness Sea ice Icequakes Épaisseur Ondes guidées Banquise Propriétés mécaniques Bruit sismique Tremblements de glace [SDE.MCG]Environmental Sciences/Global Changes |
description |
Over the past four decades, the decline in the extent and thickness of Arctic sea ice has accelerated dramatically due to global warming. The rate of this decline is much faster than predicted by existing climate models. The evolution of the decline in the extent and average thickness of sea ice is subject to thermodynamic processes that are affected by important parameters, such as the mechanical properties and thickness of the ice. Although the physical processes explaining this decline are understood, sea ice and climate models do not clearly reproduce the observed variations. Therefore, continuous and accurate monitoring of these parameters is essential given the need to update our climate models.The use of seismic methods to study sea ice has long been neglected despite their potential for very accurate estimates of ice properties. However, thanks to rapid technological and methodological advances in the last decade, these approaches have recently been reconsidered.Part of this thesis aims to prove the concept of a methodology based on the measurement of guided seismic waves in ice to estimate its Young's modulus, Poisson's ratio, density and thickness in different directions using ambient seismic noise recorded by a dense array of sensors. To illustrate the potential of this method, we present the exploitation of continuous seismic data recorded by an autonomous array of 247 geophones deployed between March 1 and 24, 2019, on the fast ice of Lake Vallunden, Van Mijen Fjord, Norwegian Svalbard Archipelago.The method consists of extracting a noise correlation function and then inverting the dispersion curves of guided modes propagating in the sea ice. To calculate the daily noise correlation function, we show that selecting time windows where the dominant seismic source is aligned with the receivers significantly improves the signal-to-noise ratio. The dispersion curves of the three fundamental guided modes are inverted with MCMC sampling to derive the probability density function of the sea ice parameters. ... |
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) Université Grenoble Alpes 2020-. Ludovic Moreau |
format |
Doctoral or Postdoctoral Thesis |
author |
Serripierri, Agathe |
author_facet |
Serripierri, Agathe |
author_sort |
Serripierri, Agathe |
title |
Monitoring sea ice properties from seismic noise |
title_short |
Monitoring sea ice properties from seismic noise |
title_full |
Monitoring sea ice properties from seismic noise |
title_fullStr |
Monitoring sea ice properties from seismic noise |
title_full_unstemmed |
Monitoring sea ice properties from seismic noise |
title_sort |
monitoring sea ice properties from seismic noise |
publisher |
HAL CCSD |
publishDate |
2023 |
url |
https://theses.hal.science/tel-04137571 https://theses.hal.science/tel-04137571/document https://theses.hal.science/tel-04137571/file/SERRIPIERRI_2023_archivage.pdf |
genre |
Arctic banquise Global warming Sea ice Svalbard |
genre_facet |
Arctic banquise Global warming Sea ice Svalbard |
op_source |
https://theses.hal.science/tel-04137571 Milieux et Changements globaux. Université Grenoble Alpes [2020-.], 2023. Français. ⟨NNT : 2023GRALU007⟩ |
op_relation |
NNT: 2023GRALU007 tel-04137571 https://theses.hal.science/tel-04137571 https://theses.hal.science/tel-04137571/document https://theses.hal.science/tel-04137571/file/SERRIPIERRI_2023_archivage.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1797579230145413120 |