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Simulations of Antarctic Ice Sheet sensitivity to climate and ocean forcing for a suite of Antarctic palaeotopographies
GB/NERC/BAS/PDC/01404

Summary

Abstract:
We present steady-state ice thickness, bed elevation, and ice surface elevation output from simulations of the Antarctic Ice Sheet (AIS) on a suite of reconstructed Antarctic palaeotopographies using the DeConto and Pollard (DP16) ice sheet model. Ice surface mass balance inputs were provided using the GENESIS v3.0 global atmosphere general circulation model coupled to a 50 m slab ocean model, which provides boundary meteorology for the RegCM3 regional climate model. Three climate/ocean scenarios were simulated: (1) cold climate orbital parameters, preindustrial CO2 levels (280 ppm) and modern ocean temperatures, (2) a subsequent shift to warm climate orbital parameters, an increase in CO2 levels to 500 ppm, and a 5 deg C ocean temperature rise, and (3) as for (2), but with CO2 levels increased to 840 ppm. The steady-state simulations were performed on a suite of reconstructed Antarctic palaeotopographies pertaining to the following four time slices: (1) the Eocene-Oligocene boundary (EOB; ca. 34 Ma), (2) the Oligocene-Miocene boundary (OMB, ca. 23 Ma), (3) the mid-Miocene (MM; ca. 14 Ma), and (4) the mid-Pliocene (MP; ca. 3.5 Ma). Simulations were performed for minimum, median, and maximum end-member topographies, and equivalent simulations were run on the modern (ice-free) Antarctic bed topography for comparison. Further details are given in the accompanying publication. For more information, please contact G. Paxman.

Funding was provided by NERC Ph.D. studentship NE/L002590/1.

Keywords:
Antarctic Ice Sheet, climate change, ice sheet sensitivity, landscape evolution, palaeotopography

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Citation

Paxman, G., Gasson, E., Jamieson, S., Bentley, M., & Ferraccioli, F. (2020). Simulations of Antarctic Ice Sheet sensitivity to climate and ocean forcing for a suite of Antarctic palaeotopographies (Version 1.0) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/d67a07a8-becc-419d-99f7-5578928461ca

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