A´ lvarez-Solas, J., Charbit, S., Ramstein, G., Paillard, D., Dumas, C., Ritz, C., and Roche, D. M.: Millennial-scale oscillations in the Southern Ocean in response to atmospheric CO2 increase, Global Planet. Change, 76, 128-136, doi:10.1016/j.gloplacha.2010.12.004, 2011.
A´ lvarez-Solas, J., Montoya, M., Ritz, C., Ramstein, G., Charbit, S., Dumas, C., Nisancioglu, K., Dokken, T., and Ganopolski, A.: Heinrich event 1: an example of dynamical ice-sheet reaction to oceanic changes, Clim. Past, 7, 1297-1306, doi:10.5194/cp7-1297-2011, 2011.
Amante, C. and Eakins, B.: ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis, NOAA Technical Memorandum NESDIS NGDC-24, p. 19, 2009.
Arthern, R. J. and Gudmundsson, G. H.: Initialization of ice-sheet forecasts viewed as an inverse Robin problem, J. Glaciol., 56, 527-533, doi:10.3189/002214310792447699, 2010.
Bamber, J. L., Layberry, R. L., and Gogineni, S. P.: A new ice thickness and bed data set for the Greenland ice sheet 1. Measurement, data reduction, and errors, J. Geophys. Res., 106, 33773-33780, doi:10.1029/2001JD900054, 2001.
Bintanja, R., van de Wal, R. S. W. and Oerlemans, J.: Global ice volume variations through the last glacial cycle simulated by a 3-D ice-dynamical model, Quatern. Int., 95-96, 11-23, doi:10.1016/S1040-6182(02)00023-X, 2002. [OpenAIRE]
Born, A. and Nisancioglu, K. H.: Melting of Northern Greenland during the last interglacial, The Cryosphere Discuss., 5, 3517- 3539, doi:10.5194/tcd-5-3517-2011, 2011.
Brun, E., David, P., Sudul, M., and Brunot, G.: A numerical model to simulate snow-cover stratigraphy for opera tional avalanche forecasting, J. Glaciol., 38, 13-22, 1992. [OpenAIRE]
Bueler, E. and Brown, J.: Shallow shelf approximation as a “sliding law” in a thermomechanically coupled ice sheet model, J. Geophys. Res., 114, F03008, doi:10.1029/2008JF001179, 2009. [OpenAIRE]
Burgess, E. W., Forster, R. R., Box, J. E., Mosley-Thompson, E., Bromwich, D. H., Bales, R. C., and Smith, L. C.: A spatially calibrated model of annual accumulation rate on the Greenland Ice Sheet (1958-2007), J. Geophys. Res.-Earth, 115, F02004, doi:10.1029/2009JF001293, 2010.
- University of Liège Belgium
- Centre for Ice and Climate Niels Bohr Institute University of Copenhagen Denmark
- Karlsruhe Institute of Technology Germany
- Karlsruhe Institute of Technology (KIT) Germany
- Universié de Liège Belgium
- Niels Bohr Institute Denmark
- Laboratoire des Sciences du Climat et de l'Environnement France
- Université de Liège (ULiège) Belgium
Predicting the climate for the future and how it will impact ice sheet evolution requires coupling ice sheet models with climate models. However, before we attempt to develop a realistic coupled setup, we propose, in this study, to first analyse the impact of a model simulated climate on an ice sheet. We undertake this exercise for a set of regional and global climate models. Modelled near surface air temperature and precipitation are provided as upper boundary conditions to the GRISLI (GRenoble Ice Shelf and Land Ice model) hybrid ice sheet model (ISM) in its Greenland configuration. After 20 kyrs of simulation, the resulting ice sheets highlight the differences between the climate models. While modelled ice sheet sizes are generally comparable to the observed one, there are considerable deviations among the ice sheets on regional scales. These deviations can be explained by biases in temperature and precipitation near the coast. This is especially true in the case of global models. But the deviations between the climate models are also due to the differences in the atmospheric general circulation. To account for these differences in the context of coupling ice sheet models with climate models, we conclude that appropriate downscaling methods will be needed. In some cases, systematic corrections of the climatic variables at the interface may be required to obtain realistic results for the Greenland ice sheet (GIS).