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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| Format: | Conference Object |
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GFZ German Research Centre for Geosciences
2023
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| Online Access: | https://dx.doi.org/10.57757/iugg23-2944 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5018922 |
| Summary: | <!--!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) ... |
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