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

The Parallel Ice Sheet Model (PISM) is applied to the Antarctic Ice Sheet over the last two glacial cycles (≈210 000 years) with a resolution of 16 km. An ensemble of 256 model runs is analyzed in which four relevant model parameters have been systematically varied using full-factorial parameter sam...

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Published in:The Cryosphere
Main Authors: Albrecht, Torsten, Winkelmann, Ricarda, Levermann, Anders
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications (EGU) 2020
Subjects:
Online Access:https://oceanrep.geomar.de/id/eprint/54744/
https://oceanrep.geomar.de/id/eprint/54744/1/tc-14-633-2020.pdf
https://doi.org/10.5194/tc-14-633-2020
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spelling ftoceanrep:oai:oceanrep.geomar.de:54744 2023-08-27T04:04:07+02:00 Glacial-cycle simulations of the Antarctic Ice Sheet with the Parallel Ice Sheet Model (PISM) – Part 2: Parameter ensemble analysis Albrecht, Torsten Winkelmann, Ricarda Levermann, Anders 2020-02-14 text https://oceanrep.geomar.de/id/eprint/54744/ https://oceanrep.geomar.de/id/eprint/54744/1/tc-14-633-2020.pdf https://doi.org/10.5194/tc-14-633-2020 en eng Copernicus Publications (EGU) https://oceanrep.geomar.de/id/eprint/54744/1/tc-14-633-2020.pdf Albrecht, T., Winkelmann, R. and Levermann, A. (2020) Glacial-cycle simulations of the Antarctic Ice Sheet with the Parallel Ice Sheet Model (PISM) – Part 2: Parameter ensemble analysis. Open Access The Cryosphere, 14 (2). pp. 633-656. DOI 10.5194/tc-14-633-2020 <https://doi.org/10.5194/tc-14-633-2020>. doi:10.5194/tc-14-633-2020 cc_by_4.0 info:eu-repo/semantics/openAccess Article PeerReviewed 2020 ftoceanrep https://doi.org/10.5194/tc-14-633-2020 2023-08-06T23:19:54Z The Parallel Ice Sheet Model (PISM) is applied to the Antarctic Ice Sheet over the last two glacial cycles (≈210 000 years) with a resolution of 16 km. An ensemble of 256 model runs is analyzed in which four relevant model parameters have been systematically varied using full-factorial parameter sampling. Parameters and plausible parameter ranges have been identified in a companion paper (Albrecht et al., 2020) and are associated with ice dynamics, climatic forcing, basal sliding and bed deformation and represent distinct classes of model uncertainties. The model is scored against both modern and geologic data, including reconstructed grounding-line locations, elevation–age data, ice thickness, surface velocities and uplift rates. An aggregated score is computed for each ensemble member that measures the overall model–data misfit, including measurement uncertainty in terms of a Gaussian error model (Briggs and Tarasov, 2013). The statistical method used to analyze the ensemble simulation results follows closely the simple averaging method described in Pollard et al. (2016). This analysis reveals clusters of best-fit parameter combinations, and hence a likely range of relevant model and boundary parameters, rather than individual best-fit parameters. The ensemble of reconstructed histories of Antarctic Ice Sheet volumes provides a score-weighted likely range of sea-level contributions since the Last Glacial Maximum (LGM) of 9.4±4.1 m (or 6.5±2.0×106km3 ), which is at the upper range of most previous studies. The last deglaciation occurs in all ensemble simulations after around 12 000 years before present and hence after the meltwater pulse 1A (MWP1a). Our ensemble analysis also provides an estimate of parametric uncertainty bounds for the present-day state that can be used for PISM projections of future sea-level contributions from the Antarctic Ice Sheet. Article in Journal/Newspaper Antarc* Antarctic Ice Sheet The Cryosphere OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) Antarctic Briggs ENVELOPE(-63.017,-63.017,-64.517,-64.517) Pollard ENVELOPE(64.617,64.617,-70.467,-70.467) The Antarctic The Cryosphere 14 2 633 656
institution Open Polar
collection OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel)
op_collection_id ftoceanrep
language English
description The Parallel Ice Sheet Model (PISM) is applied to the Antarctic Ice Sheet over the last two glacial cycles (≈210 000 years) with a resolution of 16 km. An ensemble of 256 model runs is analyzed in which four relevant model parameters have been systematically varied using full-factorial parameter sampling. Parameters and plausible parameter ranges have been identified in a companion paper (Albrecht et al., 2020) and are associated with ice dynamics, climatic forcing, basal sliding and bed deformation and represent distinct classes of model uncertainties. The model is scored against both modern and geologic data, including reconstructed grounding-line locations, elevation–age data, ice thickness, surface velocities and uplift rates. An aggregated score is computed for each ensemble member that measures the overall model–data misfit, including measurement uncertainty in terms of a Gaussian error model (Briggs and Tarasov, 2013). The statistical method used to analyze the ensemble simulation results follows closely the simple averaging method described in Pollard et al. (2016). This analysis reveals clusters of best-fit parameter combinations, and hence a likely range of relevant model and boundary parameters, rather than individual best-fit parameters. The ensemble of reconstructed histories of Antarctic Ice Sheet volumes provides a score-weighted likely range of sea-level contributions since the Last Glacial Maximum (LGM) of 9.4±4.1 m (or 6.5±2.0×106km3 ), which is at the upper range of most previous studies. The last deglaciation occurs in all ensemble simulations after around 12 000 years before present and hence after the meltwater pulse 1A (MWP1a). Our ensemble analysis also provides an estimate of parametric uncertainty bounds for the present-day state that can be used for PISM projections of future sea-level contributions from the Antarctic Ice Sheet.
format Article in Journal/Newspaper
author Albrecht, Torsten
Winkelmann, Ricarda
Levermann, Anders
spellingShingle Albrecht, Torsten
Winkelmann, Ricarda
Levermann, Anders
Glacial-cycle simulations of the Antarctic Ice Sheet with the Parallel Ice Sheet Model (PISM) – Part 2: Parameter ensemble analysis
author_facet Albrecht, Torsten
Winkelmann, Ricarda
Levermann, Anders
author_sort Albrecht, Torsten
title Glacial-cycle simulations of the Antarctic Ice Sheet with the Parallel Ice Sheet Model (PISM) – Part 2: Parameter ensemble analysis
title_short Glacial-cycle simulations of the Antarctic Ice Sheet with the Parallel Ice Sheet Model (PISM) – Part 2: Parameter ensemble analysis
title_full Glacial-cycle simulations of the Antarctic Ice Sheet with the Parallel Ice Sheet Model (PISM) – Part 2: Parameter ensemble analysis
title_fullStr Glacial-cycle simulations of the Antarctic Ice Sheet with the Parallel Ice Sheet Model (PISM) – Part 2: Parameter ensemble analysis
title_full_unstemmed Glacial-cycle simulations of the Antarctic Ice Sheet with the Parallel Ice Sheet Model (PISM) – Part 2: Parameter ensemble analysis
title_sort glacial-cycle simulations of the antarctic ice sheet with the parallel ice sheet model (pism) – part 2: parameter ensemble analysis
publisher Copernicus Publications (EGU)
publishDate 2020
url https://oceanrep.geomar.de/id/eprint/54744/
https://oceanrep.geomar.de/id/eprint/54744/1/tc-14-633-2020.pdf
https://doi.org/10.5194/tc-14-633-2020
long_lat ENVELOPE(-63.017,-63.017,-64.517,-64.517)
ENVELOPE(64.617,64.617,-70.467,-70.467)
geographic Antarctic
Briggs
Pollard
The Antarctic
geographic_facet Antarctic
Briggs
Pollard
The Antarctic
genre Antarc*
Antarctic
Ice Sheet
The Cryosphere
genre_facet Antarc*
Antarctic
Ice Sheet
The Cryosphere
op_relation https://oceanrep.geomar.de/id/eprint/54744/1/tc-14-633-2020.pdf
Albrecht, T., Winkelmann, R. and Levermann, A. (2020) Glacial-cycle simulations of the Antarctic Ice Sheet with the Parallel Ice Sheet Model (PISM) – Part 2: Parameter ensemble analysis. Open Access The Cryosphere, 14 (2). pp. 633-656. DOI 10.5194/tc-14-633-2020 <https://doi.org/10.5194/tc-14-633-2020>.
doi:10.5194/tc-14-633-2020
op_rights cc_by_4.0
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5194/tc-14-633-2020
container_title The Cryosphere
container_volume 14
container_issue 2
container_start_page 633
op_container_end_page 656
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