agstub/subglacial-inversion: First release of subglacial parameter inversion code
This python code inverts ice-sheet altimetry data for two types of subglacial parameters: the basal vertical velocity or basal drag coefficient field. The forward model is based on a small-perturbation approximation of the Stokes equations, and the least-squares inverse problem is solved with the co...
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ftdatacite:10.5281/zenodo.5775177 2023-05-15T16:40:35+02:00 agstub/subglacial-inversion: First release of subglacial parameter inversion code Stubblefield, Aaron 2021 https://dx.doi.org/10.5281/zenodo.5775177 https://zenodo.org/record/5775177 unknown Zenodo https://github.com/agstub/subglacial-inversion/tree/v1.0.0 https://github.com/agstub/subglacial-inversion/tree/v1.0.0 https://dx.doi.org/10.5281/zenodo.5775178 Open Access info:eu-repo/semantics/openAccess SoftwareSourceCode article Software 2021 ftdatacite https://doi.org/10.5281/zenodo.5775177 https://doi.org/10.5281/zenodo.5775178 2022-02-08T16:29:46Z This python code inverts ice-sheet altimetry data for two types of subglacial parameters: the basal vertical velocity or basal drag coefficient field. The forward model is based on a small-perturbation approximation of the Stokes equations, and the least-squares inverse problem is solved with the conjugate gradient method. The primary operations involve map-plane Fourier transforms and convolution over time, which are implemented with SciPy's FFT methods. The complete details are included in a forthcoming manuscript. The Jupyter notebooks in the "notebooks" directory reproduce the computational examples from the manuscript. Software Ice Sheet DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
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unknown |
description |
This python code inverts ice-sheet altimetry data for two types of subglacial parameters: the basal vertical velocity or basal drag coefficient field. The forward model is based on a small-perturbation approximation of the Stokes equations, and the least-squares inverse problem is solved with the conjugate gradient method. The primary operations involve map-plane Fourier transforms and convolution over time, which are implemented with SciPy's FFT methods. The complete details are included in a forthcoming manuscript. The Jupyter notebooks in the "notebooks" directory reproduce the computational examples from the manuscript. |
format |
Software |
author |
Stubblefield, Aaron |
spellingShingle |
Stubblefield, Aaron agstub/subglacial-inversion: First release of subglacial parameter inversion code |
author_facet |
Stubblefield, Aaron |
author_sort |
Stubblefield, Aaron |
title |
agstub/subglacial-inversion: First release of subglacial parameter inversion code |
title_short |
agstub/subglacial-inversion: First release of subglacial parameter inversion code |
title_full |
agstub/subglacial-inversion: First release of subglacial parameter inversion code |
title_fullStr |
agstub/subglacial-inversion: First release of subglacial parameter inversion code |
title_full_unstemmed |
agstub/subglacial-inversion: First release of subglacial parameter inversion code |
title_sort |
agstub/subglacial-inversion: first release of subglacial parameter inversion code |
publisher |
Zenodo |
publishDate |
2021 |
url |
https://dx.doi.org/10.5281/zenodo.5775177 https://zenodo.org/record/5775177 |
genre |
Ice Sheet |
genre_facet |
Ice Sheet |
op_relation |
https://github.com/agstub/subglacial-inversion/tree/v1.0.0 https://github.com/agstub/subglacial-inversion/tree/v1.0.0 https://dx.doi.org/10.5281/zenodo.5775178 |
op_rights |
Open Access info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.5775177 https://doi.org/10.5281/zenodo.5775178 |
_version_ |
1766030989948092416 |