Insights into spatial sensitivities of ice mass response to environmental change from the SeaRISE ice sheet modeling project II: Greenland
Citations Over TimeTop 10% of 2013 papers
Abstract
Abstract The Sea‐level Response to Ice Sheet Evolution (SeaRISE) effort explores the sensitivity of the current generation of ice sheet models to external forcing to gain insight into the potential future contribution to sea level from the Greenland and Antarctic ice sheets. All participating models simulated the ice sheet response to three types of external forcings: a change in oceanic condition, a warmer atmospheric environment, and enhanced basal lubrication. Here an analysis of the spatial response of the Greenland ice sheet is presented, and the impact of model physics and spin‐up on the projections is explored. Although the modeled responses are not always homogeneous, consistent spatial trends emerge from the ensemble analysis, indicating distinct vulnerabilities of the Greenland ice sheet. There are clear response patterns associated with each forcing, and a similar mass loss at the full ice sheet scale will result in different mass losses at the regional scale, as well as distinct thickness changes over the ice sheet. All forcings lead to an increased mass loss for the coming centuries, with increased basal lubrication and warmer ocean conditions affecting mainly outlet glaciers, while the impacts of atmospheric forcings affect the whole ice sheet.
Related Papers
- → Effects of extreme melt events on ice flow and sea level rise of the Greenland Ice Sheet(2023)23 cited
- → Design and results of the ice sheet model initialisation experimentsinitMIP-Greenland: an ISMIP6 intercomparison(2017)17 cited
- → Effects of extreme melt events on ice flow and sea level rise of the Greenland Ice Sheet(2022)4 cited
- → Is the Greenland Ice Sheet in a state of collapse?(2006)13 cited
- Determining Greenland Ice Sheet sensitivity to regional climate change: one-way coupling of a 3-D thermo-mechanical ice sheet model with a mesoscale climate model(2011)