Historically consistent mass loss projections of the Greenland ice sheet

Abstract. Mass loss from the Greenland ice sheet is a major contributor to global sea-level rise and is expected to intensify with ongoing Arctic warming. Given the threat of sea-level rise to coastal communities, accurately projecting future contributions from the Greenland ice sheet is crucial. This study evaluates the expected sea-level contribution from the ice sheet until 2100 by conducting an ensemble of standalone ice sheet simulations using the Community Ice Sheet Model (CISM). We initialize the ice sheet to closely match observed geometry by calibrating basal friction parameters and using regionally downscaled surface mass balance (SMB) forcing from various Earth system models (ESMs) and the ERA5 reanalysis. Using a historically consistent approach, we reduce model drift while closely reproducing observed mass loss over the historical period. We evaluate the effects of using absolute SMB values vs. prescribing SMB anomalies for future projections, identifying minimal differences in projected sea-level contributions. Our projections suggest sea-level contributions of 32 to 69 mm under SSP1-2.6 (Shared Socioeconomic Pathway), 44 to 119 mm under SSP2-4.5, and 74 to 228 mm under SSP5-8.5 by 2100. In our setup, variations in the initial state of the ice sheet only have a minimal impact on projected sea-level contributions, while climate forcing is a dominant source of uncertainty.

Authors

Institutions

Publication Details

Journal
˜The œcryosphere
Published
2025-03-14
DOI
https://doi.org/10.5194/tc-19-1205-2025
Citations
9
Primary Topic
Cryospheric studies and observations
Type
article
Field-Weighted Citation Impact
11.71

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Historically consistent mass loss projections of the Greenland ice sheet

Heiko Goelzer, Charlotte Rahlves, Petra M. Langebroek, Andreas Born
9 citations
˜The œcryosphere
Cryospheric studies and observations
11.71
article

Historically consistent mass loss projections of the Greenland ice sheet

Heiko Goelzer, Charlotte Rahlves, Petra M. Langebroek, Andreas Born
article en
9 citations

Abstract

Abstract. Mass loss from the Greenland ice sheet is a major contributor to global sea-level rise and is expected to intensify with ongoing Arctic warming. Given the threat of sea-level rise to coastal communities, accurately projecting future contributions from the Greenland ice sheet is crucial. This study evaluates the expected sea-level contribution from the ice sheet until 2100 by conducting an ensemble of standalone ice sheet simulations using the Community Ice Sheet Model (CISM). We initialize the ice sheet to closely match observed geometry by calibrating basal friction parameters and using regionally downscaled surface mass balance (SMB) forcing from various Earth system models (ESMs) and the ERA5 reanalysis. Using a historically consistent approach, we reduce model drift while closely reproducing observed mass loss over the historical period. We evaluate the effects of using absolute SMB values vs. prescribing SMB anomalies for future projections, identifying minimal differences in projected sea-level contributions. Our projections suggest sea-level contributions of 32 to 69 mm under SSP1-2.6 (Shared Socioeconomic Pathway), 44 to 119 mm under SSP2-4.5, and 74 to 228 mm under SSP5-8.5 by 2100. In our setup, variations in the initial state of the ice sheet only have a minimal impact on projected sea-level contributions, while climate forcing is a dominant source of uncertainty.

˜The œcryosphereVol. 19(3)
Bjerknes Centre for Climate Research (NO), NORCE Research AS (NO), University of Bergen (NO)
Norges Forskningsråd, Horizon 2020
Openalex Percentile: Top 1%
Cryospheric studies and observations
11.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.