Articles | Volume 14, issue 2
https://doi.org/10.5194/tc-14-633-2020
https://doi.org/10.5194/tc-14-633-2020
Research article
 | 
14 Feb 2020
Research article |  | 14 Feb 2020

Glacial-cycle simulations of the Antarctic Ice Sheet with the Parallel Ice Sheet Model (PISM) – Part 2: Parameter ensemble analysis

Torsten Albrecht, Ricarda Winkelmann, and Anders Levermann

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Cited articles

Albrecht, T.: PISM parameter ensemble analysis of Antarctic Ice Sheet glacial cycle simulations, PANGAEA, https://doi.org/10.1594/PANGAEA.909728, 2019b. a
Albrecht, T.: PISM ensemble scoring: Parameter ensemble analysis tools as used in Albrecht et al., 2020, The Cryosphere, Zenodo, https://doi.org/10.5281/zenodo.3585118, 2019c. a
Albrecht, T. and PISM authors: PISM version as used in Albrecht et al., 2020, The Cryosphere, Zenodo, https://doi.org/10.5281/zenodo.3574032, 2019. a
Albrecht, T., Winkelmann, R., and Levermann, A.: Glacial-cycle simulations of the Antarctic Ice Sheet with the Parallel Ice Sheet Model (PISM) – Part 1: Boundary conditions and climatic forcing, The Cryosphere, 14, 599–632, https://doi.org/10.5194/tc-14-599-2020, 2020. a, b, c, d, e, f, g, h, i, j, k, l
Argus, D. F., Peltier, W., Drummond, R., and Moore, A. W.: The Antarctica component of postglacial rebound model ICE-6G_C (VM5a) based on GPS positioning, exposure age dating of ice thicknesses, and relative sea level histories, Geophys. J. Int., 198, 537–563, 2014. a
Short summary
A large ensemble of glacial-cycle simulations of the Antarctic Ice Sheet with the Parallel Ice Sheet Model (PISM) was analyzed in which four relevant model parameters were systematically varied. These parameters were selected in a companion study and are associated with uncertainties in ice dynamics, climatic forcing, basal sliding and solid Earth deformation. For each ensemble member a statistical score is computed, which enables calibrating the model against both modern and geologic data.
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