Albrecht, Torsten (2019): PISM parameter ensemble analysis of Antarctic Ice Sheet glacial cycle simulations. PANGAEA, https://doi.org/10.1594/PANGAEA.909728, Supplement to: Albrecht, Torsten; Winkelmann, Ricarda; Levermann, Anders (2020): Glacial-cycle simulations of the Antarctic Ice Sheet with the Parallel Ice Sheet Model (PISM) - Part 2: Parameter ensemble analysis. The Cryosphere, 14(2), 633-656, https://doi.org/10.5194/tc-14-633-2020
Always quote citation above when using data! You can download the citation in several formats below.
This dataset contains PISM simulation results of the Antarctic Ice Sheet based on code release v1.0-paleo-ensemble (https://doi.org/10.5281/zenodo.3574033). PISM is the open-source Parallel Ice Sheet Model developed mainly at UAF, USA and PIK, Germany. See documentation in http://www.pism-docs.org.
With the help of the added jupyter notebook (Python 2.7.3), all figures can be reproduced as published in the article:
- Albrecht et al., 2020, doi:10.5194/tc-14-633-2020.
Find PISM results as netCDF data. See 'README.md' for a list of all performed experiment.
All forcing input data for the experiments and plots can be downloaded and remapped via https://github.com/pism/pism-ais. Some of the original input data files are freely available, for others please contact the author or the corresponding data publisher.
The jupyter notebook (https://jupyter.org) paleo_paper2_final.ipynb (based on python) in 'plot_scripts' accesses the uploaded PISM results in 'model_data' or 'supplement' and saves the plots as vector and pixel graphics to 'final_figures'. Edit header for changing work paths. Jupyter notebook can be run in the browser and shared, see
The scoring scheme with respect to modern and paleo data based on Python 2.7.3 can be downloaded from (https://doi.org/10.5281/zenodo.3585118). The ensemble analysis calculates misfits to the paleo constraint database AntICEdat (Briggs & Tarasov, 2013) and to RAISED Consortium (2014) as well as to modern ice geometry from Bedmap2 (Fretwell et al., 2013), ice speed (Rignot et al., 2011) an GPS (Whitehouse et al., 2011). The analysis is based on Pollard et al., (2016) and Briggs et al., (2014).
Albrecht, Torsten (firstname.lastname@example.org) ; Potsdam-Institute for Climate Impact Research (PIK), Potsdam, Germany
Albrecht, Torsten; Winkelmann, Ricarda; Levermann, Anders (2020): 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(2), 599-632, https://doi.org/10.5194/tc-14-599-2020
Briggs, Robert D; Pollard, David; Tarasov, Lev (2014): A data-constrained large ensemble analysis of Antarctic evolution since the Eemian. Quaternary Science Reviews, 103, 91-115, https://doi.org/10.1016/j.quascirev.2014.09.003
Briggs, Robert D; Tarasov, Lev (2013): How to evaluate model-derived deglaciation chronologies: a case study using Antarctica. Quaternary Science Reviews, 63, 109-127, https://doi.org/10.1016/j.quascirev.2012.11.021
Pollard, David; Chang, Won; Haran, Murali; Applegate, Patrick; DeConto, Robert M (2016): Large ensemble modeling of the last deglacial retreat of the West Antarctic Ice Sheet: comparison of simple and advanced statistical techniques. Geoscientific Model Development, 9(5), 1697-1723, https://doi.org/10.5194/gmd-9-1697-2016
Latitude: -90.000000 * Longitude: 0.000000