Preprints
https://doi.org/10.5194/egusphere-2025-2192
https://doi.org/10.5194/egusphere-2025-2192
20 May 2025
 | 20 May 2025
Status: this preprint is open for discussion and under review for The Cryosphere (TC).

Investigating the multi-millennial evolution and stability of the Greenland ice sheet using remapped surface mass balance forcing

Charlotte Rahlves, Heiko Goelzer, Andreas Born, and Petra M. Langebroek

Abstract. Surface mass balance (SMB) forcing for projections of the future evolution of the Greenland ice sheet with stand-alone modeling approaches has been commonly derived from regional climate models (RCMs) on a fixed ice sheet topography. However, over long time scales, changes in ice sheet geometry become substantial, and using SMB fields that do not account for these changes can introduce non-physical biases. Therefore, conducting projections for the long term evolution and stability of the Greenland ice sheet usually requires a computationally expensive coupled climate-ice sheet modeling setup. In this study we use a SMB remapping procedure to capture the first order feedbacks of the coupled climate-ice sheet system within a computationally efficient stand-alone modeling approach. Following a remapping procedure that was originally developed to apply SMB forcing to a range of modeled steady-state ice sheet geometries, we produce SMB forcing that adapts to the changing ice sheet geometry as it evolves over time. SMB fields from a regional climate model are translated from a function of absolute geographic location to a function of surface elevation, allowing for SMB updates when elevation changes. To reflect the heterogeneous elevation response across the ice sheet we separate the ice sheet into 25 regional drainage basins, which allows for a spatially resolved adjustment of SMB. We evaluate this approach using forcing from multiple emission scenarios from the CMIP6 archive and compare the results with those from standard parameterizations of the SMB–elevation feedback. Our results show that the remapping method better preserves the structure of the ablation zone and reduces non-physical biases compared to conventional SMB–elevation feedback parameterizations, while still leveraging high-quality forcing data.

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Charlotte Rahlves, Heiko Goelzer, Andreas Born, and Petra M. Langebroek

Status: open (until 01 Jul 2025)

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Charlotte Rahlves, Heiko Goelzer, Andreas Born, and Petra M. Langebroek
Charlotte Rahlves, Heiko Goelzer, Andreas Born, and Petra M. Langebroek

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Short summary
We present a method to better simulate how Greenland’s ice sheet may change over thousands of years in response to climate change. Using a stand-alone ice sheet model, we adjust snowfall and melting patterns based on changes in the ice sheet’s shape. This approach avoids complex coupled models and enables faster testing of many future scenarios to understand the long-term stability of Greenland’s ice.
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