The Parallel Ice Sheet Model pism0.6 is an open source, parallel, high-resolution ice sheet model. Features:
|Resolution-dependent performance of grounding line motion in a shallow model compared with a full-Stokes model according to the MISMIP3d intercomparison|
|investigators:||J. Feldmann, T. Albrecht, C. Khroulev, F. Pattyn, and A. Levermann|
By using MISMIP3d simulations across a range of resolutions, this paper shows that the SIA+SSA hybrid stress balance in PISM can model grounding line motion in a perturbed ice-sheet–shelf system. The key improvements, all included in pism0.6, are: linear interpolation of the grounding line, locally-interpolated basal friction, and an improved driving-stress computation across the grounding line. The reversibility of the grounding line, after a local perturbation of basal resistance comes and goes, is captured by the model even at medium and low horizontal resolutions (> 10 km). The transient model response is qualitatively-similar to that of higher-order models, though with higher sensitivity to perturbations on very short timescales. Our findings support the application of PISM to the Antarctic ice sheet from regional up to continental scales and even at relatively-low spatial resolutions.
See the stable version page to check out a copy of the PISM stable0.6 source code. If you have already checked out the prerelease version, just do
git pull and then
make install in your build directory. Send email to firstname.lastname@example.org for help with any version of PISM.
Changes since stable0.5 include
Please see the PISM's Python Documentation.
Since 2012 there have been seven Ph.D. students who have completed their degrees using PISM as a major tool in their research. The new year is a good time to feature their accomplishments on the PISM front page!
A dynamic memory of fracture processes in ice shelves, Ph.D. Potsdam University 2013; advisor A. Levermann; publications including Albrecht et al. (2011) and Albrecht and Levermann (2012); personal webpage
Basal shear strength inversions for ice sheets with an application to Jakobshavn Isbrae, Greenland, Ph.D. University of Alaska Fairbanks 2013; advisor M. Truffer; publications including Habermann, Truffer, and Maxwell (2013); personal webpage
Numerical simulation of the Antarctic ice sheet and its dynamic response to external perturbation, Ph.D. Potsdam University 2012; advisor A. Levermann; publications including Martin et al. (2011); personal webpage
Modelling the dynamics and boundary processes of Svalbard glaciers, Ph.D. Universiteit Utrecht 2014; advisor J. Oerlemans; publications including van Pelt and Oerlemans (2012) and van Pelt et al. (2013); personal webpage
Large-scale modeling of the Greenland Ice Sheet on long timescales, Ph.D. University Copenhagen 2012; advisors C. Hvidberg and G. Adalgeirsdottir; publications including Solgaard et al. (2011), Solgaard and Langen (2012), and Solgaard et al. (2013); personal webpage
The future sea-level contribution from Antarctica: Projections of solid ice discharge, Ph.D. Potsdam University 2012; advisors S. Rahmstorf and A. Levermann; publications including Winkelmann et al. (2011), Winkelmann et al. (2012), Winkelmann and Levermann (2013); personal webpage
Glacial climate variability, Ph.D. Universität Hamburg 2013; advisor U. Mikolajewicz; personal webpage
PISM is jointly developed at the University of Alaska, Fairbanks (UAF) and the Potsdam Institute for Climate Impact Research (PIK). UAF developers, who are in the Glaciers Group at the GI, are supported by NASA's Modeling, Analysis, and Prediction and Cryospheric Sciences Programs (grants NAG5-11371, NNX09AJ38C, NNX13AM16G, NNX13AK27G) and by the Arctic Region Supercomputing Center.