Mantle viscosity beneath the Hudson Bay: An inversion based on the Metropolis algorithm
We revisit the problem of inferring mantle viscosity from postglacial relative sea level (RSL) data across the Hudson Bay. We invert a recently revised data set using the Metropolis algorithm together with an annealing schedule: this method, which is well established in geophysics, is applied here f...
Published in: | Journal of Geophysical Research: Solid Earth |
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Online Access: | http://hdl.handle.net/2122/13772 https://doi.org/10.1029/2001JB000585 |
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ftingv:oai:www.earth-prints.org:2122/13772 2023-05-15T16:35:19+02:00 Mantle viscosity beneath the Hudson Bay: An inversion based on the Metropolis algorithm Cianetti, Spina Giunchi, Carlo Spada, Giorgio Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Pisa, Pisa, Italia Universita` di Urbino 2002 http://hdl.handle.net/2122/13772 https://doi.org/10.1029/2001JB000585 en eng Journal of Geophysical Research: Solid Earth B12/107 (2002) http://hdl.handle.net/2122/13772 doi:10.1029/2001JB000585 restricted Postglacial Rebound Mantle Viscosity Simulated Annealing 04.07. Tectonophysics article 2002 ftingv https://doi.org/10.1029/2001JB000585 2022-07-29T06:08:11Z We revisit the problem of inferring mantle viscosity from postglacial relative sea level (RSL) data across the Hudson Bay. We invert a recently revised data set using the Metropolis algorithm together with an annealing schedule: this method, which is well established in geophysics, is applied here for the first time to the glacial isostatic adjustment problem. The Metropolis algorithm performs a search, which is not limited to downhill moves in the model space and thus is less influenced by local minima of the misfit than traditional inverse approaches. Furthermore, its CPU requirements are far superior to Monte Carlo methods. The major drawbacks include slow convergence and the need for careful tuning of crucial variables such as the temperature schedule and the increment in the model space. When all the Hudson Bay RSL data are considered, and the viscosity of the upper mantle above the 670 km discontinuity is inverted, the best fitting solution is characterized by a viscosity close to 2 × 10^20 Pa s. However, when the shallow upper mantle and transition zone viscosity are separately inverted, other less traditional solutions with a more complex viscosity structure are found to be equally possible. A stable feature is the lower mantle viscosity, which is generally found to be close to the value of 10^21 Pa s in all of the stochastic inversions we have performed. The solutions agree with previous findings concerning both postglacial rebound observables and global geodynamics signatures. Published 2352 1T. Struttura della Terra JCR Journal Article in Journal/Newspaper Hudson Bay Earth-Prints (Istituto Nazionale di Geofisica e Vulcanologia) Hudson Hudson Bay Journal of Geophysical Research: Solid Earth 107 B12 ETG 12-1 ETG 12-15 |
institution |
Open Polar |
collection |
Earth-Prints (Istituto Nazionale di Geofisica e Vulcanologia) |
op_collection_id |
ftingv |
language |
English |
topic |
Postglacial Rebound Mantle Viscosity Simulated Annealing 04.07. Tectonophysics |
spellingShingle |
Postglacial Rebound Mantle Viscosity Simulated Annealing 04.07. Tectonophysics Cianetti, Spina Giunchi, Carlo Spada, Giorgio Mantle viscosity beneath the Hudson Bay: An inversion based on the Metropolis algorithm |
topic_facet |
Postglacial Rebound Mantle Viscosity Simulated Annealing 04.07. Tectonophysics |
description |
We revisit the problem of inferring mantle viscosity from postglacial relative sea level (RSL) data across the Hudson Bay. We invert a recently revised data set using the Metropolis algorithm together with an annealing schedule: this method, which is well established in geophysics, is applied here for the first time to the glacial isostatic adjustment problem. The Metropolis algorithm performs a search, which is not limited to downhill moves in the model space and thus is less influenced by local minima of the misfit than traditional inverse approaches. Furthermore, its CPU requirements are far superior to Monte Carlo methods. The major drawbacks include slow convergence and the need for careful tuning of crucial variables such as the temperature schedule and the increment in the model space. When all the Hudson Bay RSL data are considered, and the viscosity of the upper mantle above the 670 km discontinuity is inverted, the best fitting solution is characterized by a viscosity close to 2 × 10^20 Pa s. However, when the shallow upper mantle and transition zone viscosity are separately inverted, other less traditional solutions with a more complex viscosity structure are found to be equally possible. A stable feature is the lower mantle viscosity, which is generally found to be close to the value of 10^21 Pa s in all of the stochastic inversions we have performed. The solutions agree with previous findings concerning both postglacial rebound observables and global geodynamics signatures. Published 2352 1T. Struttura della Terra JCR Journal |
author2 |
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Pisa, Pisa, Italia Universita` di Urbino |
format |
Article in Journal/Newspaper |
author |
Cianetti, Spina Giunchi, Carlo Spada, Giorgio |
author_facet |
Cianetti, Spina Giunchi, Carlo Spada, Giorgio |
author_sort |
Cianetti, Spina |
title |
Mantle viscosity beneath the Hudson Bay: An inversion based on the Metropolis algorithm |
title_short |
Mantle viscosity beneath the Hudson Bay: An inversion based on the Metropolis algorithm |
title_full |
Mantle viscosity beneath the Hudson Bay: An inversion based on the Metropolis algorithm |
title_fullStr |
Mantle viscosity beneath the Hudson Bay: An inversion based on the Metropolis algorithm |
title_full_unstemmed |
Mantle viscosity beneath the Hudson Bay: An inversion based on the Metropolis algorithm |
title_sort |
mantle viscosity beneath the hudson bay: an inversion based on the metropolis algorithm |
publishDate |
2002 |
url |
http://hdl.handle.net/2122/13772 https://doi.org/10.1029/2001JB000585 |
geographic |
Hudson Hudson Bay |
geographic_facet |
Hudson Hudson Bay |
genre |
Hudson Bay |
genre_facet |
Hudson Bay |
op_relation |
Journal of Geophysical Research: Solid Earth B12/107 (2002) http://hdl.handle.net/2122/13772 doi:10.1029/2001JB000585 |
op_rights |
restricted |
op_doi |
https://doi.org/10.1029/2001JB000585 |
container_title |
Journal of Geophysical Research: Solid Earth |
container_volume |
107 |
container_issue |
B12 |
container_start_page |
ETG 12-1 |
op_container_end_page |
ETG 12-15 |
_version_ |
1766025538812510208 |