Sensitivity kernels for viscoelastic loading based on adjoint methods

Observations of glacial isostatic adjustment (GIA) allow for inferences to be made about mantle viscosity, ice sheet history and other related parameters. Typically, this inverse problem can be formulated as minimizing the misfit between the given observations and a corresponding set of synthetic da...

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Published in:Geophysical Journal International
Main Authors: Al-Attar, David, Tromp, Jeroen
Format: Text
Language:English
Published: Oxford University Press 2014
Subjects:
Eta
Online Access:http://gji.oxfordjournals.org/cgi/content/short/196/1/34
https://doi.org/10.1093/gji/ggt395
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spelling fthighwire:oai:open-archive.highwire.org:gji:196/1/34 2023-05-15T16:41:26+02:00 Sensitivity kernels for viscoelastic loading based on adjoint methods Al-Attar, David Tromp, Jeroen 2014-01-01 00:00:00.0 text/html http://gji.oxfordjournals.org/cgi/content/short/196/1/34 https://doi.org/10.1093/gji/ggt395 en eng Oxford University Press http://gji.oxfordjournals.org/cgi/content/short/196/1/34 http://dx.doi.org/10.1093/gji/ggt395 Copyright (C) 2014, Oxford University Press Geodynamics and tectonics TEXT 2014 fthighwire https://doi.org/10.1093/gji/ggt395 2018-04-07T06:24:45Z Observations of glacial isostatic adjustment (GIA) allow for inferences to be made about mantle viscosity, ice sheet history and other related parameters. Typically, this inverse problem can be formulated as minimizing the misfit between the given observations and a corresponding set of synthetic data. When the number of parameters is large, solution of such optimization problems can be computationally challenging. A practical, albeit non-ideal, solution is to use gradient-based optimization. Although the gradient of the misfit required in such methods could be calculated approximately using finite differences, the necessary computation time grows linearly with the number of model parameters, and so this is often infeasible. A far better approach is to apply the ‘adjoint method’, which allows the exact gradient to be calculated from a single solution of the forward problem, along with one solution of the associated adjoint problem. As a first step towards applying the adjoint method to the GIA inverse problem, we consider its application to a simpler viscoelastic loading problem in which gravitationally self-consistent ocean loading is neglected. The earth model considered is non-rotating, self-gravitating, compressible, hydrostatically pre-stressed, laterally heterogeneous and possesses a Maxwell solid rheology. We determine adjoint equations and Fréchet kernels for this problem based on a Lagrange multiplier method. Given an objective functional J defined in terms of the surface deformation fields, we show that its first-order perturbation can be written <f>$\delta J = \int _{M_{\mathrm{S}}}K_{\eta }\delta \ln \eta \,\mathrm{d}V +\int _{t_{0}}^{t_{1}}\int _{\partial M}K_{\dot{\sigma }} \delta \dot{\sigma } \,\mathrm{d}S \,\mathrm{d}t$</f>, where δ ln η = δη/η denotes relative viscosity variations in solid regions M S , d V is the volume element, <f>$\delta \dot{\sigma }$</f> is the perturbation to the time derivative of the surface load which is defined on the earth model's surface ∂ M ... Text Ice Sheet HighWire Press (Stanford University) Eta ENVELOPE(-62.917,-62.917,-64.300,-64.300) Lagrange ENVELOPE(-62.597,-62.597,-64.529,-64.529) Geophysical Journal International 196 1 34 77
institution Open Polar
collection HighWire Press (Stanford University)
op_collection_id fthighwire
language English
topic Geodynamics and tectonics
spellingShingle Geodynamics and tectonics
Al-Attar, David
Tromp, Jeroen
Sensitivity kernels for viscoelastic loading based on adjoint methods
topic_facet Geodynamics and tectonics
description Observations of glacial isostatic adjustment (GIA) allow for inferences to be made about mantle viscosity, ice sheet history and other related parameters. Typically, this inverse problem can be formulated as minimizing the misfit between the given observations and a corresponding set of synthetic data. When the number of parameters is large, solution of such optimization problems can be computationally challenging. A practical, albeit non-ideal, solution is to use gradient-based optimization. Although the gradient of the misfit required in such methods could be calculated approximately using finite differences, the necessary computation time grows linearly with the number of model parameters, and so this is often infeasible. A far better approach is to apply the ‘adjoint method’, which allows the exact gradient to be calculated from a single solution of the forward problem, along with one solution of the associated adjoint problem. As a first step towards applying the adjoint method to the GIA inverse problem, we consider its application to a simpler viscoelastic loading problem in which gravitationally self-consistent ocean loading is neglected. The earth model considered is non-rotating, self-gravitating, compressible, hydrostatically pre-stressed, laterally heterogeneous and possesses a Maxwell solid rheology. We determine adjoint equations and Fréchet kernels for this problem based on a Lagrange multiplier method. Given an objective functional J defined in terms of the surface deformation fields, we show that its first-order perturbation can be written <f>$\delta J = \int _{M_{\mathrm{S}}}K_{\eta }\delta \ln \eta \,\mathrm{d}V +\int _{t_{0}}^{t_{1}}\int _{\partial M}K_{\dot{\sigma }} \delta \dot{\sigma } \,\mathrm{d}S \,\mathrm{d}t$</f>, where δ ln η = δη/η denotes relative viscosity variations in solid regions M S , d V is the volume element, <f>$\delta \dot{\sigma }$</f> is the perturbation to the time derivative of the surface load which is defined on the earth model's surface ∂ M ...
format Text
author Al-Attar, David
Tromp, Jeroen
author_facet Al-Attar, David
Tromp, Jeroen
author_sort Al-Attar, David
title Sensitivity kernels for viscoelastic loading based on adjoint methods
title_short Sensitivity kernels for viscoelastic loading based on adjoint methods
title_full Sensitivity kernels for viscoelastic loading based on adjoint methods
title_fullStr Sensitivity kernels for viscoelastic loading based on adjoint methods
title_full_unstemmed Sensitivity kernels for viscoelastic loading based on adjoint methods
title_sort sensitivity kernels for viscoelastic loading based on adjoint methods
publisher Oxford University Press
publishDate 2014
url http://gji.oxfordjournals.org/cgi/content/short/196/1/34
https://doi.org/10.1093/gji/ggt395
long_lat ENVELOPE(-62.917,-62.917,-64.300,-64.300)
ENVELOPE(-62.597,-62.597,-64.529,-64.529)
geographic Eta
Lagrange
geographic_facet Eta
Lagrange
genre Ice Sheet
genre_facet Ice Sheet
op_relation http://gji.oxfordjournals.org/cgi/content/short/196/1/34
http://dx.doi.org/10.1093/gji/ggt395
op_rights Copyright (C) 2014, Oxford University Press
op_doi https://doi.org/10.1093/gji/ggt395
container_title Geophysical Journal International
container_volume 196
container_issue 1
container_start_page 34
op_container_end_page 77
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