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Data Publisher for Earth & Environmental Science

Albrecht, Torsten; Klemann, Volker; Meike, Bagge (2024): PISM-VILMA glacial cycle simulations of the Antarctic Ice Sheet coupled to the solid Earth and global sea level [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.972528

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Abstract:
The dynamics of the ice sheets on glacial time scales are highly controlled by interactions with the solid Earth, i.e., the glacial isostatic adjustment (GIA). Particularly at marine ice sheets, competing feedback mechanisms govern the migration of the ice sheet's grounding line (GL) and hence the ice sheet stability. We performed a suite of coupled ice sheet–solid Earth simulations over the last two glacial cycles. To represent ice sheet dynamics we apply the Parallel Ice Sheet Model PISM and to represent the solid Earth response we apply the three-dimensional viscoelastic Earth model VILMA, which, in addition to load deformation and rotation changes, considers the gravitationally consistent redistribution of water (the sea-level equation). With our coupling setup we evaluate the relevance of feedback mechanisms for the glaciation and deglaciation phases in Antarctica considering different 3D Earth structures resulting in a range of load-response time scales.
This dataset contains PISM-VILMA coupled simulation results (https://www.pism.io) of the Antarctic Ice Sheet based on code release v1.2. PISM is the open-source Parallel Ice Sheet Model developed mainly at UAF, USA and PIK, Germany. With the help of added python scripts, all figures can be reproduced as in the journal publication: Albrecht et al., 2024, (see preprint at https://doi.org/10.5194/egusphere-2023-2990).
Keyword(s):
Antarctica; Antarctic Ice Sheet; feedback; Glacial cycles; glacial isostatic adjustment; model coupling; paleo modeling; PALMOD; Parallel Ice Sheet Model; PISM; VILMA
Supplement to:
Albrecht, Torsten; Meike, Bagge; Klemann, Volker (2024): Feedback mechanisms controlling Antarctic glacial-cycle dynamics simulated with a coupled ice sheet–solid Earth model. The Cryosphere, 18(9), 4233-4255, https://doi.org/10.5194/tc-18-4233-2024
Funding:
Federal Ministry of Education and Research (BMBF), grant/award no. 01LP1918A: PalMod II - Verbundprojekt: WP 1.4 Schlüsselprozesse - TP 1: Sensitivität des Meeresspiegels und Verformungen der festen Erde
Federal Ministry of Education and Research (BMBF), grant/award no. 01LP1925D: PalMod II Verbundprojekt: WP CC.1 Modellkopplung und Laufzeitoptimierung - TP4: Entwicklung des PICO-Modells zu einem 'pop-up'-Modell für transiente Glazialsimulationen
Federal Ministry of Education and Research (BMBF), grant/award no. 01LP2305A: PalMod III - Verbundprojekt WP 1.4 Instabilitäten der Eisschilde - TP 1: Quantifizierung der Feste-Erde-Komponente in der Klimadynamik Erde
Federal Ministry of Education and Research (BMBF), grant/award no. 01LP2305B: PalMod III - Verbundprojekt WP 1.4 Instabilitäten der Eisschilde - TP: 2 Interaktion vom Grönländischen und Antarktischen Eisschild mit dem globalen Klimasystem und der festen Erde
Coverage:
Latitude: -90.000000 * Longitude: 0.000000
Event(s):
Antarctica * Latitude: -90.000000 * Longitude: 0.000000
Comment:
Data:
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Find PISM results as netCDF data. See 'README.md' for a list of performed experiment.
All forcing input data for the PISM 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.
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PISM is an open source project listed in the Research Software Directory: https://research-software-directory.org/software/pism. Find the used PISM version and the used python coupler tools archived in zenodo: https://zenodo.org/doi/10.5281/zenodo.12730723
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VILMA is not yet freely available, VILMA uses 3D Earth structures by Bagge et al., 2020a (https://doi.org/10.5880/GFZ.1.3.2020.004), and ice sheet history ICE6G_C by Peltier et al., 2015 (https://doi.org/10.1002/2014JB011176).
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Figure plotting scripts (jupyter notebook based on python, see https://jupyter.org) in 'plot_scripts' access the uploaded PISM results in 'model_data' and save the plots to 'final_figures'. Jupyter notebook can be run in the browser, see vilma_pism_coupling_figures.pdf. There is also a python version in vilma_pism_coupling_figures.py.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1File contentContentAlbrecht, Torsten
2Binary ObjectBinaryAlbrecht, Torsten
3Binary Object (File Size)Binary (Size)BytesAlbrecht, Torsten
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
4 data points

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