Preprints
https://doi.org/10.5194/egusphere-2026-3331
https://doi.org/10.5194/egusphere-2026-3331
25 Jun 2026
 | 25 Jun 2026
Status: this preprint is open for discussion and under review for Climate of the Past (CP).

Ensemble reconstruction of the Greenland Ice Sheet evolution through the last deglaciation

Lucía Gutiérrez-González, Ilaria Tabone, Alexander Robinson, Jorge Álvarez-Solas, Jan Swierczek-Jereczek, Britta Grusdt, and Marisa Montoya

Abstract. The last deglaciation offers valuable insights into ice-climate interactions, as extensive paleoclimatic records document the retreat of ice sheets through a period of major climate changes. During this interval, the Greenland Ice Sheet (GrIS) retreated from its extensive Last Glacial Maximum (LGM) configuration to its present state, passing through the Holocene Thermal Maximum (HTM), when temperatures exceeded present-day values. Despite the large amount of paleoclimatic data available, ice-sheet models struggle to reproduce key aspects of the observational record, and the magnitude of the GrIS contribution to sea level throughout this period, in particular during the LGM and the HTM, remains highly uncertain. In this study, we evaluate an ensemble of 3,000 simulations of the GrIS performed with the Yelmo ice-sheet model against different observational constraints. These include: (1) the LGM ice-sheet extent, (2) ice-core-derived surface elevations, (3) an ice-extent retreat chronology based on the recent PaleoGrIS dataset, and (4) the present-day ice-sheet configuration (ice thickness, ice cover, ice-surface velocity, and bedrock elevation). We characterize the impact of the parameters perturbed along the ensemble on the GrIS evolution using an emulator based on the XGBoost algorithm combined with the SHAP (SHapley Additive exPlanations) framework. This analysis reveals that the climatic parameters (surface melting corrections and ocean thermal sensitivity) dominate the impact. By identifying the simulation that best matches these observables, we provide a constrained reconstruction of the GrIS during the last deglaciation that substantially improves upon previous reconstructions. We obtain a GrIS contribution to global sea level with respect to present of -5.75 m of sea-level equivalent (SLE) at the LGM (with an uncertainty range of -3.93 to -6.31 m) and +0.45 m after the HTM warming (with an uncertainty range of 0.43 to 1.18 m). This is in the upper range of previously existing estimates, indicating a comparatively mid-to-high GrIS sensitivity to climate changes over the last deglaciation.

Competing interests: At least one of the (co-)authors is a member of the editorial board of Climate of the Past.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Lucía Gutiérrez-González, Ilaria Tabone, Alexander Robinson, Jorge Álvarez-Solas, Jan Swierczek-Jereczek, Britta Grusdt, and Marisa Montoya

Status: open (until 20 Aug 2026)

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Lucía Gutiérrez-González, Ilaria Tabone, Alexander Robinson, Jorge Álvarez-Solas, Jan Swierczek-Jereczek, Britta Grusdt, and Marisa Montoya

Data sets

Video and dataset of the best simulation Lucía Gutiérrez-González, Ilaria Tabone, Alexander Robinson, Jorge Álvarez-Solas, Jan Swierczek-Jereczek, Britta Grusdt, and Marisa Montoya https://zenodo.org/records/20544171

Model code and software

Yelmo model Alexander Robinson, Jorge Alvarez-Solas, Marisa Montoya, Heiko Goelzer, Ralf Greve, and Catherine Ritz https://github.com/palma-ice/yelmo/

Interactive computing environment

Sripts for the ensemble analysis and figures Lucía Gutiérrez-González https://github.com/luciagutierrezg/GrIS_deglaciation_yelmox

Video supplement

Video and dataset of the best simulation Lucía Gutiérrez-González, Ilaria Tabone, Alexander Robinson, Jorge Álvarez-Solas, Jan Swierczek-Jereczek, Britta Grusdt, and Marisa Montoya https://zenodo.org/records/20544171

Lucía Gutiérrez-González, Ilaria Tabone, Alexander Robinson, Jorge Álvarez-Solas, Jan Swierczek-Jereczek, Britta Grusdt, and Marisa Montoya
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Latest update: 25 Jun 2026
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Short summary
The last deglaciation offers insights into ice-climate interactions, as paleoclimatic records document the retreat of ice sheets through a period of major climate changes. However, current ice-sheet models have difficulties reproducing key aspects of the Greenland Ice Sheet evolution. We present a new reconstruction based on an ensemble of 3000 simulations evaluated against observational constraints, improving upon previous studies, and we identify the parameters controlling model performance.
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