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| Titel |
Data assimilation and prognostic whole ice sheet modelling with the variationally derived, higher order, open source, and fully parallel ice sheet model VarGlaS |
| VerfasserIn |
D. J. Brinkerhoff, J. V. Johnson |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1994-0416
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| Digitales Dokument |
URL |
| Erschienen |
In: The Cryosphere ; 7, no. 4 ; Nr. 7, no. 4 (2013-07-25), S.1161-1184 |
| Datensatznummer |
250017993
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| Publikation (Nr.) |
 copernicus.org/tc-7-1161-2013.pdf |
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| Zusammenfassung |
| We introduce a novel, higher order, finite element ice sheet model called
VarGlaS (Variational Glacier Simulator), which is built on the finite element
framework FEniCS. Contrary to standard procedure in ice sheet modelling,
VarGlaS formulates ice sheet motion as the minimization of an energy
functional, conferring advantages such as a consistent platform for making
numerical approximations, a coherent relationship between motion and heat
generation, and implicit boundary treatment. VarGlaS also solves the
equations of enthalpy rather than temperature, avoiding the solution of a
contact problem. Rather than include a lengthy model spin-up procedure,
VarGlaS possesses an automated framework for model inversion. These
capabilities are brought to bear on several benchmark problems in ice sheet
modelling, as well as a 500 yr simulation of the Greenland ice sheet at
high resolution. VarGlaS performs well in benchmarking experiments and, given
a constant climate and a 100 yr relaxation period, predicts a mass
evolution of the Greenland ice sheet that matches present-day observations of
mass loss. VarGlaS predicts a thinning in the interior and thickening of the
margins of the ice sheet. |
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