PISM parameter ensemble analysis of Antarctic Ice Sheet glacial cycle simulations

• Main Author: Albrecht, Torsten
• Format: Dataset
• Language: English
• Published: PANGAEA 2019
• Subjects: Antarctic Ice Sheet; Ensemble Analysis; Glacial cycles; glacial isostatic adjustment; pan-Antarctica; Parallel Ice Sheet Model; PISM; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; SPP1158; Arctic; Antarctic; The Antarctic; Briggs; Pollard; Pik; Antarc*; Ice Sheet; Sea ice
• Online Access: https://doi.pangaea.de/10.1594/PANGAEA.909728; https://doi.org/10.1594/PANGAEA.909728

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. --- Data: 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 https://nbviewer.jupyter.org/url/www.pik-potsdam.de/~albrecht/notebooks/paleo_paper/paleo_paper2_final.ipynb. --- Methods: 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). --- Contact : Albrecht, Torsten ([e-mail]) Potsdam-Institute for Climate Impact Research (PIK), Potsdam, Germany