Inverse Modelling at Recovery Glacier, Antarctica
The future ice loss of Recovery Glacier will probably be the largest of the East Antarctic Ice Sheet over the next millennia. Its evolution can be predicted by models solving the equations of the momentum and mass balance. Ice dynamics are fundamentally driven by bedrock conditions underneath the ic...
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Universität Bremen
2019
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ftsubbremen:oai:media.suub.uni-bremen.de:Publications/elib/1655 2023-05-15T13:41:01+02:00 Inverse Modelling at Recovery Glacier, Antarctica Inverse Modellierung am Recovery Gletscher, Antarktis Eis, Christine Humbert, Angelika Bänsch, Eberhard 2019-06-12 application/pdf https://media.suub.uni-bremen.de/handle/elib/1655 https://nbn-resolving.org/urn:nbn:de:gbv:46-00107607-13 eng eng Universität Bremen FB5 Geowissenschaften https://media.suub.uni-bremen.de/handle/elib/1655 urn:nbn:de:gbv:46-00107607-13 info:eu-repo/semantics/openAccess remote sensing Recovery Glacier Antarctica filter interpolation model inversion optimization surface velocity 550 550 Earth sciences and geology ddc:550 Dissertation doctoralThesis 2019 ftsubbremen 2022-11-09T07:09:39Z The future ice loss of Recovery Glacier will probably be the largest of the East Antarctic Ice Sheet over the next millennia. Its evolution can be predicted by models solving the equations of the momentum and mass balance. Ice dynamics are fundamentally driven by bedrock conditions underneath the ice, but these can not simply be measured yet. This thesis utilizes an inverse method implemented in the Ice Sheet System Model (ISSM) to acquire basal parameters. The technique minimizes the difference between horizontal surface velocities derived from remote sensing and computed by the model. False values in the observations can lead to uncertainties in basal parameters. In order to remove such false values, this thesis presents a new filtering method. Data gaps are filled comparing four different interpolation methods. A sensitivity analysis shows that the influence of filtering outliers and interpolation on basal parameters derived from inverse modelling is large in specific regions. The resulting basal parameters do not indicate the existence of the previously proposed subglacial lakes at the onset of Recovery Glacier. Doctoral or Postdoctoral Thesis Antarc* Antarctic Antarctica Antarktis* Ice Sheet Recovery Glacier Media SuUB Bremen (Staats- und Universitätsbibliothek Bremen) Antarctic East Antarctic Ice Sheet Recovery Glacier ENVELOPE(-25.500,-25.500,-81.166,-81.166) |
institution |
Open Polar |
collection |
Media SuUB Bremen (Staats- und Universitätsbibliothek Bremen) |
op_collection_id |
ftsubbremen |
language |
English |
topic |
remote sensing Recovery Glacier Antarctica filter interpolation model inversion optimization surface velocity 550 550 Earth sciences and geology ddc:550 |
spellingShingle |
remote sensing Recovery Glacier Antarctica filter interpolation model inversion optimization surface velocity 550 550 Earth sciences and geology ddc:550 Eis, Christine Inverse Modelling at Recovery Glacier, Antarctica |
topic_facet |
remote sensing Recovery Glacier Antarctica filter interpolation model inversion optimization surface velocity 550 550 Earth sciences and geology ddc:550 |
description |
The future ice loss of Recovery Glacier will probably be the largest of the East Antarctic Ice Sheet over the next millennia. Its evolution can be predicted by models solving the equations of the momentum and mass balance. Ice dynamics are fundamentally driven by bedrock conditions underneath the ice, but these can not simply be measured yet. This thesis utilizes an inverse method implemented in the Ice Sheet System Model (ISSM) to acquire basal parameters. The technique minimizes the difference between horizontal surface velocities derived from remote sensing and computed by the model. False values in the observations can lead to uncertainties in basal parameters. In order to remove such false values, this thesis presents a new filtering method. Data gaps are filled comparing four different interpolation methods. A sensitivity analysis shows that the influence of filtering outliers and interpolation on basal parameters derived from inverse modelling is large in specific regions. The resulting basal parameters do not indicate the existence of the previously proposed subglacial lakes at the onset of Recovery Glacier. |
author2 |
Humbert, Angelika Bänsch, Eberhard |
format |
Doctoral or Postdoctoral Thesis |
author |
Eis, Christine |
author_facet |
Eis, Christine |
author_sort |
Eis, Christine |
title |
Inverse Modelling at Recovery Glacier, Antarctica |
title_short |
Inverse Modelling at Recovery Glacier, Antarctica |
title_full |
Inverse Modelling at Recovery Glacier, Antarctica |
title_fullStr |
Inverse Modelling at Recovery Glacier, Antarctica |
title_full_unstemmed |
Inverse Modelling at Recovery Glacier, Antarctica |
title_sort |
inverse modelling at recovery glacier, antarctica |
publisher |
Universität Bremen |
publishDate |
2019 |
url |
https://media.suub.uni-bremen.de/handle/elib/1655 https://nbn-resolving.org/urn:nbn:de:gbv:46-00107607-13 |
long_lat |
ENVELOPE(-25.500,-25.500,-81.166,-81.166) |
geographic |
Antarctic East Antarctic Ice Sheet Recovery Glacier |
geographic_facet |
Antarctic East Antarctic Ice Sheet Recovery Glacier |
genre |
Antarc* Antarctic Antarctica Antarktis* Ice Sheet Recovery Glacier |
genre_facet |
Antarc* Antarctic Antarctica Antarktis* Ice Sheet Recovery Glacier |
op_relation |
https://media.suub.uni-bremen.de/handle/elib/1655 urn:nbn:de:gbv:46-00107607-13 |
op_rights |
info:eu-repo/semantics/openAccess |
_version_ |
1766144559618719744 |