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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ftzenodo:oai:zenodo.org:5775178 2023-06-06T11:55:02+02:00 agstub/subglacial-inversion: First release of subglacial parameter inversion code Aaron Stubblefield 2021-12-12 https://zenodo.org/record/5775178 https://doi.org/10.5281/zenodo.5775178 unknown https://github.com/agstub/subglacial-inversion/tree/v1.0.0 doi:10.5281/zenodo.5775177 https://zenodo.org/record/5775178 https://doi.org/10.5281/zenodo.5775178 oai:zenodo.org:5775178 info:eu-repo/semantics/openAccess info:eu-repo/semantics/other software 2021 ftzenodo https://doi.org/10.5281/zenodo.577517810.5281/zenodo.5775177 2023-04-13T23:25:35Z 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 Zenodo |
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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 |
Aaron Stubblefield |
spellingShingle |
Aaron Stubblefield agstub/subglacial-inversion: First release of subglacial parameter inversion code |
author_facet |
Aaron Stubblefield |
author_sort |
Aaron Stubblefield |
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 |
publishDate |
2021 |
url |
https://zenodo.org/record/5775178 https://doi.org/10.5281/zenodo.5775178 |
genre |
Ice Sheet |
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Ice Sheet |
op_relation |
https://github.com/agstub/subglacial-inversion/tree/v1.0.0 doi:10.5281/zenodo.5775177 https://zenodo.org/record/5775178 https://doi.org/10.5281/zenodo.5775178 oai:zenodo.org:5775178 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.577517810.5281/zenodo.5775177 |
_version_ |
1767961634603532288 |