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Titel |
Ice sheet model dependency of the simulated Greenland Ice Sheet in the mid-Pliocene |
VerfasserIn |
S. J. Koenig, A. M. Dolan, B. de Boer, E. J. Stone, D. J. Hill, R. M. DeConto, A. Abe-Ouchi, D. J. Lunt, D. Pollard, A. Quiquet, F. Saito, J. Savage, R. van de Wal |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1814-9324
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Digitales Dokument |
URL |
Erschienen |
In: Climate of the Past ; 11, no. 3 ; Nr. 11, no. 3 (2015-03-05), S.369-381 |
Datensatznummer |
250117205
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Publikation (Nr.) |
copernicus.org/cp-11-369-2015.pdf |
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Zusammenfassung |
The understanding of the nature and behavior of ice sheets in past warm
periods is important for constraining the potential impacts of future climate
change. The Pliocene warm period (between 3.264 and 3.025 Ma) saw global temperatures
similar to those projected for future climates; nevertheless, Pliocene ice
locations and extents are still poorly constrained. We present results from
the efforts to simulate mid-Pliocene Greenland Ice Sheets by means of the
international Pliocene Ice Sheet Modeling Intercomparison Project (PLISMIP).
We compare the performance of existing numerical ice sheet models in
simulating modern control and mid-Pliocene ice sheets with a suite of
sensitivity experiments guided by available proxy records. We quantify
equilibrated ice sheet volume on Greenland, identifying a potential range in
sea level contributions from warm Pliocene scenarios. A series of statistical
measures are performed to quantify the confidence of simulations with focus
on inter-model and inter-scenario differences. We find that Pliocene
Greenland Ice Sheets are less sensitive to differences in ice sheet model
configurations and internal physical quantities than to changes in imposed
climate forcing. We conclude that Pliocene ice was most likely to be limited
to the highest elevations in eastern and southern Greenland as simulated with the highest
confidence and by synthesizing available regional proxies; however, the extent
of those ice caps needs to be further constrained by using a range of general circulation model (GCM)
climate forcings. |
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