An iterative inverse method to estimate basal topography and initialize ice flow models

We evaluate an inverse approach to reconstruct distributed bedrock topography and simultaneously initialize an ice flow model. The inverse method involves an iterative procedure in which an ice dynamical model (PISM) is run multiple times over a prescribed period, while being forced with space- and...

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Published in:The Cryosphere
Main Authors: Pelt, W. J. J., Oerlemans, J., Reijmer, C. H., Pettersson, R., Pohjola, V. A., Isaksson, E., Divine, D.
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/tc-7-987-2013
https://tc.copernicus.org/articles/7/987/2013/
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spelling ftcopernicus:oai:publications.copernicus.org:tc19175 2023-05-15T18:29:49+02:00 An iterative inverse method to estimate basal topography and initialize ice flow models Pelt, W. J. J. Oerlemans, J. Reijmer, C. H. Pettersson, R. Pohjola, V. A. Isaksson, E. Divine, D. 2018-09-27 application/pdf https://doi.org/10.5194/tc-7-987-2013 https://tc.copernicus.org/articles/7/987/2013/ eng eng doi:10.5194/tc-7-987-2013 https://tc.copernicus.org/articles/7/987/2013/ eISSN: 1994-0424 Text 2018 ftcopernicus https://doi.org/10.5194/tc-7-987-2013 2020-07-20T16:25:27Z We evaluate an inverse approach to reconstruct distributed bedrock topography and simultaneously initialize an ice flow model. The inverse method involves an iterative procedure in which an ice dynamical model (PISM) is run multiple times over a prescribed period, while being forced with space- and time-dependent climate input. After every iteration bed heights are adjusted using information of the remaining misfit between observed and modeled surface topography. The inverse method is first applied in synthetic experiments with a constant climate forcing to verify convergence and robustness of the approach in three dimensions. In a next step, the inverse approach is applied to Nordenskiöldbreen, Svalbard, forced with height- and time-dependent climate input since 1300 AD. An L-curve stopping criterion is used to prevent overfitting. Validation against radar data reveals a high correlation (up to R = 0.89) between modeled and observed thicknesses. Remaining uncertainties can mainly be ascribed to inaccurate model physics, in particular, uncertainty in the description of sliding. Results demonstrate the applicability of this inverse method to reconstruct the ice thickness distribution of glaciers and ice caps. In addition to reconstructing bedrock topography, the method provides a direct tool to initialize ice flow models for forecasting experiments. Text Svalbard Copernicus Publications: E-Journals Nordenskiöldbreen ENVELOPE(17.166,17.166,78.676,78.676) Svalbard The Cryosphere 7 3 987 1006
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description We evaluate an inverse approach to reconstruct distributed bedrock topography and simultaneously initialize an ice flow model. The inverse method involves an iterative procedure in which an ice dynamical model (PISM) is run multiple times over a prescribed period, while being forced with space- and time-dependent climate input. After every iteration bed heights are adjusted using information of the remaining misfit between observed and modeled surface topography. The inverse method is first applied in synthetic experiments with a constant climate forcing to verify convergence and robustness of the approach in three dimensions. In a next step, the inverse approach is applied to Nordenskiöldbreen, Svalbard, forced with height- and time-dependent climate input since 1300 AD. An L-curve stopping criterion is used to prevent overfitting. Validation against radar data reveals a high correlation (up to R = 0.89) between modeled and observed thicknesses. Remaining uncertainties can mainly be ascribed to inaccurate model physics, in particular, uncertainty in the description of sliding. Results demonstrate the applicability of this inverse method to reconstruct the ice thickness distribution of glaciers and ice caps. In addition to reconstructing bedrock topography, the method provides a direct tool to initialize ice flow models for forecasting experiments.
format Text
author Pelt, W. J. J.
Oerlemans, J.
Reijmer, C. H.
Pettersson, R.
Pohjola, V. A.
Isaksson, E.
Divine, D.
spellingShingle Pelt, W. J. J.
Oerlemans, J.
Reijmer, C. H.
Pettersson, R.
Pohjola, V. A.
Isaksson, E.
Divine, D.
An iterative inverse method to estimate basal topography and initialize ice flow models
author_facet Pelt, W. J. J.
Oerlemans, J.
Reijmer, C. H.
Pettersson, R.
Pohjola, V. A.
Isaksson, E.
Divine, D.
author_sort Pelt, W. J. J.
title An iterative inverse method to estimate basal topography and initialize ice flow models
title_short An iterative inverse method to estimate basal topography and initialize ice flow models
title_full An iterative inverse method to estimate basal topography and initialize ice flow models
title_fullStr An iterative inverse method to estimate basal topography and initialize ice flow models
title_full_unstemmed An iterative inverse method to estimate basal topography and initialize ice flow models
title_sort iterative inverse method to estimate basal topography and initialize ice flow models
publishDate 2018
url https://doi.org/10.5194/tc-7-987-2013
https://tc.copernicus.org/articles/7/987/2013/
long_lat ENVELOPE(17.166,17.166,78.676,78.676)
geographic Nordenskiöldbreen
Svalbard
geographic_facet Nordenskiöldbreen
Svalbard
genre Svalbard
genre_facet Svalbard
op_source eISSN: 1994-0424
op_relation doi:10.5194/tc-7-987-2013
https://tc.copernicus.org/articles/7/987/2013/
op_doi https://doi.org/10.5194/tc-7-987-2013
container_title The Cryosphere
container_volume 7
container_issue 3
container_start_page 987
op_container_end_page 1006
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