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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 9, issue 5
Geosci. Model Dev., 9, 1697–1723, 2016
https://doi.org/10.5194/gmd-9-1697-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 9, 1697–1723, 2016
https://doi.org/10.5194/gmd-9-1697-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Methods for assessment of models 04 May 2016

Methods for assessment of models | 04 May 2016

Large ensemble modeling of the last deglacial retreat of the West Antarctic Ice Sheet: comparison of simple and advanced statistical techniques

David Pollard et al.

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Cited articles

Anderson, J. B., Conway, H., Bart, P. J., Witus, A. E., Greenwood, S. L., McKay, R. M., Hall, B. L., Ackert, R. P., Licht, K., Jakobsson M., and Stone, J. O.: Ross Sea paleo-ice sheet drainage and deglacial history during and since the LGM, Quaternary Sci. Res., 100, 31–54, 2014.
Applegate, P. J., Kirchner, N., Stone, E. J., Keller, K., and Greve, R.: An assessment of key model parametric uncertainties in projections of Greenland Ice Sheet behavior, The Cryosphere, 6, 589–606, https://doi.org/10.5194/tc-6-589-2012, 2012.
Bassett, S. E., Milne, G. A., Mitrovica, J. X., and Clark, P. U.: Ice sheet and solid Earth influences on far-field sea-level histories, Science, 309, 925–928, 2005.
Benn, D. I., Warren, C. R., and Mottram, R. H.: Calving processes and the dynamics of calving glaciers, Earth-Sci. Rev., 82, 143–179, 2007.
Briggs, R. D. and Tarasov, L.: How to evaluate model-derived deglaciation chronologies: a case study using Antarctica, Quaternary. Sci. Rev., 63, 109–127, 2013.
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Computer modeling of variations of the Antarctic Ice Sheet help to understand the ice sheet's sensitivity to climate change. We apply a numerical model to its retreat over the last 20 000 years, from its maximum glacial extent to modern. An ensemble of 625 simulations is performed with systematic combinations of uncertain model parameter values. Results are analyzed using (1) simple averaging, and (2) advanced statistical techniques, and reasonable agreement is found between the two.
Computer modeling of variations of the Antarctic Ice Sheet help to understand the ice sheet's...
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