Transient calibration of the Amundsen sea embayment using twenty years of satellite interferometry and altimetry ...

<!--!introduction!--> Accurately projecting mass loss from ice sheets is critical to help societies best prepare for the change in sea level. Despite tremendous improvements, several recent studies show that the agreement between models and the observational record remains poor. The inability...

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Main Authors: Morlighem, Mathieu, Goldberg, Daniel
Format: Conference Object
Language:unknown
Published: GFZ German Research Centre for Geosciences 2023
Subjects:
Online Access:https://dx.doi.org/10.57757/iugg23-2944
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5018922
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spelling ftdatacite:10.57757/iugg23-2944 2023-07-23T04:13:20+02:00 Transient calibration of the Amundsen sea embayment using twenty years of satellite interferometry and altimetry ... Morlighem, Mathieu Goldberg, Daniel 2023 https://dx.doi.org/10.57757/iugg23-2944 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5018922 unknown GFZ German Research Centre for Geosciences Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Article ConferencePaper Oral 2023 ftdatacite https://doi.org/10.57757/iugg23-2944 2023-07-03T18:42:05Z <!--!introduction!--> Accurately projecting mass loss from ice sheets is critical to help societies best prepare for the change in sea level. Despite tremendous improvements, several recent studies show that the agreement between models and the observational record remains poor. The inability of numerical models to reproduce observations raises concerns about their ability to provide accurate projections. Data assimilation approaches are great tools to infer unknown parameters by minimizing the misfit between model and observations. Inversions have been used in glaciology since the 1990s, but only for a given point in time. These “snapshot inversions” are routinely used to infer unknown parameters, such as basal friction, but they do not take advantage of time series of observations to which we have access today. The advent of Automatic Differentiation and its recent integration in the Ice-sheet and Sea-level System Model and STREAMICE makes it possible to assimilate almost any type of data using time ... : The 28th IUGG General Assembly (IUGG2023) (Berlin 2023) ... Conference Object Amundsen Sea Ice Sheet DataCite Metadata Store (German National Library of Science and Technology) Amundsen Sea
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description <!--!introduction!--> Accurately projecting mass loss from ice sheets is critical to help societies best prepare for the change in sea level. Despite tremendous improvements, several recent studies show that the agreement between models and the observational record remains poor. The inability of numerical models to reproduce observations raises concerns about their ability to provide accurate projections. Data assimilation approaches are great tools to infer unknown parameters by minimizing the misfit between model and observations. Inversions have been used in glaciology since the 1990s, but only for a given point in time. These “snapshot inversions” are routinely used to infer unknown parameters, such as basal friction, but they do not take advantage of time series of observations to which we have access today. The advent of Automatic Differentiation and its recent integration in the Ice-sheet and Sea-level System Model and STREAMICE makes it possible to assimilate almost any type of data using time ... : The 28th IUGG General Assembly (IUGG2023) (Berlin 2023) ...
format Conference Object
author Morlighem, Mathieu
Goldberg, Daniel
spellingShingle Morlighem, Mathieu
Goldberg, Daniel
Transient calibration of the Amundsen sea embayment using twenty years of satellite interferometry and altimetry ...
author_facet Morlighem, Mathieu
Goldberg, Daniel
author_sort Morlighem, Mathieu
title Transient calibration of the Amundsen sea embayment using twenty years of satellite interferometry and altimetry ...
title_short Transient calibration of the Amundsen sea embayment using twenty years of satellite interferometry and altimetry ...
title_full Transient calibration of the Amundsen sea embayment using twenty years of satellite interferometry and altimetry ...
title_fullStr Transient calibration of the Amundsen sea embayment using twenty years of satellite interferometry and altimetry ...
title_full_unstemmed Transient calibration of the Amundsen sea embayment using twenty years of satellite interferometry and altimetry ...
title_sort transient calibration of the amundsen sea embayment using twenty years of satellite interferometry and altimetry ...
publisher GFZ German Research Centre for Geosciences
publishDate 2023
url https://dx.doi.org/10.57757/iugg23-2944
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5018922
geographic Amundsen Sea
geographic_facet Amundsen Sea
genre Amundsen Sea
Ice Sheet
genre_facet Amundsen Sea
Ice Sheet
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.57757/iugg23-2944
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