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| Titel |
A benchmark study of the sea-level equation in GIA modelling |
| VerfasserIn |
Zdeněk Martinec, Volker Klemann, Wouter van der Wal, Riccardo Riva, Giorgio Spada, Karen Simon, Bas Blank, Yu Sun, Daniele Melini, Tom James, Sarah Bradley |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250144812
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| Publikation (Nr.) |
 EGU/EGU2017-8681.pdf |
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| Zusammenfassung |
| The sea-level load in glacial isostatic adjustment (GIA) is described by the so called sea-level
equation (SLE), which represents the mass redistribution between ice sheets and oceans on a
deforming earth. Various levels of complexity of SLE have been proposed in the
past, ranging from a simple mean global sea level (the so-called eustatic sea level)
to the load with a deforming ocean bottom, migrating coastlines and a changing
shape of the geoid. Several approaches to solve the SLE have been derived, from
purely analytical formulations to fully numerical methods. Despite various teams
independently investigating GIA, there has been no systematic intercomparison
amongst the solvers through which the methods may be validated. The goal of
this paper is to present a series of benchmark experiments designed for testing
and comparing numerical implementations of the SLE. Our approach starts with
simple load cases even though the benchmark will not result in GIA predictions for a
realistic loading scenario. In the longer term we aim for a benchmark with a realistic
loading scenario, and also for benchmark solutions with rotational feedback. The
current benchmark uses an earth model for which Love numbers have been computed
and benchmarked in Spada et al (2011). In spite of the significant differences in
the numerical methods employed, the test computations performed so far show a
satisfactory agreement between the results provided by the participants. The differences
found can often be attributed to the different approximations inherent to the various
algorithms.
Literature G. Spada, V. R. Barletta, V. Klemann, R. E. M. Riva, Z. Martinec, P. Gasperini,
B. Lund, D. Wolf, L. L. A. Vermeersen, and M. A. King, 2011. A benchmark study for
glacial isostatic adjustment codes. Geophys. J. Int. 185: 106-132 doi:10.1111/j.1365- |
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