A method for validation of GIA models using sea-level data with applications to Hudson Bay and SW Fennoscandia
Glacial isostatic adjustment (GIA) is the ongoing response of the viscoelastic solid Earth, oceans and the gravitational field to the previous burden of the ice loads. The Earth’s surface was once covered with massive ice sheets, and melting of these ice sheets is still reshaping coastlines and affe...
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ftoceanrep:oai:oceanrep.geomar.de:54514 2024-02-11T10:03:43+01:00 A method for validation of GIA models using sea-level data with applications to Hudson Bay and SW Fennoscandia Latinovic, Milena 2021-02-25 text https://oceanrep.geomar.de/id/eprint/54514/ https://oceanrep.geomar.de/id/eprint/54514/1/Dissertation_Latinovic.pdf https://doi.org/10.17169/refubium-29582 en eng https://oceanrep.geomar.de/id/eprint/54514/1/Dissertation_Latinovic.pdf Latinovic, M. (2021) A method for validation of GIA models using sea-level data with applications to Hudson Bay and SW Fennoscandia. Open Access (PhD/ Doctoral thesis), Universität Berlin, Berlin, Germany, 160 pp. DOI 10.17169/refubium-29582 <https://doi.org/10.17169/refubium-29582>. doi:10.17169/refubium-29582 cc_by_4.0 info:eu-repo/semantics/openAccess Thesis NonPeerReviewed 2021 ftoceanrep https://doi.org/10.17169/refubium-29582 2024-01-15T00:24:34Z Glacial isostatic adjustment (GIA) is the ongoing response of the viscoelastic solid Earth, oceans and the gravitational field to the previous burden of the ice loads. The Earth’s surface was once covered with massive ice sheets, and melting of these ice sheets is still reshaping coastlines and affecting sea-level. To reconstruct former sea level and be able to predict future changes, it is necessary to constrain the rheological properties of the Earth’s structure. Widely used data to constrain Earth’s interior are sea-level indicators. In the first part of the thesis, we propose a statistical method that quantifies a relationship between the sea-level indicator and a relative sea level in order to compare it to GIA predictions. A statistical method is based on consideration of spatial and temporal probability density functions, derived from the age and elevation of each indicator. This method allows a more rigorous approach to validation with sea-level data and possibility to include low-quality data. We verified method performance in the Hudson Bay, Canada as a test run before applying it to the SW Fennoscandia. SW Fennoscandia identifies as an area where lateral heterogeneity is likely to exist. The south-western part of Fennoscandia lies on the crustal boundary called the Trans-European Suture Zone (TESZ), or the Tornquist Zone. GIA models have two representations of Earth’s structure; radially symmetric (1D), where the rheology only varies vertically, and lateral or 3D variations of viscosity structure. In this thesis, we compare glacial isostatic adjustment reconstructions with both representations of the rheology. Results from the 1D model show variations in the viscosity structure between the area near to the centre of the former ice sheet and the areas at the margin of the ice sheet. Hence, we verify the importance of including lateral variations in GIA models in this region. Application of 3D models displays the sensitivity of model parameters to crustal deformation. German Baltic coast yields thinner ... Thesis Fennoscandia Hudson Bay Ice Sheet OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) Hudson Bay Canada Hudson |
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Open Polar |
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OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) |
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ftoceanrep |
language |
English |
description |
Glacial isostatic adjustment (GIA) is the ongoing response of the viscoelastic solid Earth, oceans and the gravitational field to the previous burden of the ice loads. The Earth’s surface was once covered with massive ice sheets, and melting of these ice sheets is still reshaping coastlines and affecting sea-level. To reconstruct former sea level and be able to predict future changes, it is necessary to constrain the rheological properties of the Earth’s structure. Widely used data to constrain Earth’s interior are sea-level indicators. In the first part of the thesis, we propose a statistical method that quantifies a relationship between the sea-level indicator and a relative sea level in order to compare it to GIA predictions. A statistical method is based on consideration of spatial and temporal probability density functions, derived from the age and elevation of each indicator. This method allows a more rigorous approach to validation with sea-level data and possibility to include low-quality data. We verified method performance in the Hudson Bay, Canada as a test run before applying it to the SW Fennoscandia. SW Fennoscandia identifies as an area where lateral heterogeneity is likely to exist. The south-western part of Fennoscandia lies on the crustal boundary called the Trans-European Suture Zone (TESZ), or the Tornquist Zone. GIA models have two representations of Earth’s structure; radially symmetric (1D), where the rheology only varies vertically, and lateral or 3D variations of viscosity structure. In this thesis, we compare glacial isostatic adjustment reconstructions with both representations of the rheology. Results from the 1D model show variations in the viscosity structure between the area near to the centre of the former ice sheet and the areas at the margin of the ice sheet. Hence, we verify the importance of including lateral variations in GIA models in this region. Application of 3D models displays the sensitivity of model parameters to crustal deformation. German Baltic coast yields thinner ... |
format |
Thesis |
author |
Latinovic, Milena |
spellingShingle |
Latinovic, Milena A method for validation of GIA models using sea-level data with applications to Hudson Bay and SW Fennoscandia |
author_facet |
Latinovic, Milena |
author_sort |
Latinovic, Milena |
title |
A method for validation of GIA models using sea-level data with applications to Hudson Bay and SW Fennoscandia |
title_short |
A method for validation of GIA models using sea-level data with applications to Hudson Bay and SW Fennoscandia |
title_full |
A method for validation of GIA models using sea-level data with applications to Hudson Bay and SW Fennoscandia |
title_fullStr |
A method for validation of GIA models using sea-level data with applications to Hudson Bay and SW Fennoscandia |
title_full_unstemmed |
A method for validation of GIA models using sea-level data with applications to Hudson Bay and SW Fennoscandia |
title_sort |
method for validation of gia models using sea-level data with applications to hudson bay and sw fennoscandia |
publishDate |
2021 |
url |
https://oceanrep.geomar.de/id/eprint/54514/ https://oceanrep.geomar.de/id/eprint/54514/1/Dissertation_Latinovic.pdf https://doi.org/10.17169/refubium-29582 |
geographic |
Hudson Bay Canada Hudson |
geographic_facet |
Hudson Bay Canada Hudson |
genre |
Fennoscandia Hudson Bay Ice Sheet |
genre_facet |
Fennoscandia Hudson Bay Ice Sheet |
op_relation |
https://oceanrep.geomar.de/id/eprint/54514/1/Dissertation_Latinovic.pdf Latinovic, M. (2021) A method for validation of GIA models using sea-level data with applications to Hudson Bay and SW Fennoscandia. Open Access (PhD/ Doctoral thesis), Universität Berlin, Berlin, Germany, 160 pp. DOI 10.17169/refubium-29582 <https://doi.org/10.17169/refubium-29582>. doi:10.17169/refubium-29582 |
op_rights |
cc_by_4.0 info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.17169/refubium-29582 |
_version_ |
1790600052464418816 |