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CORDIS

Next-generation Modeling of Sedimentary Ice-sheet Dynamics

Project description

A framework for more accurate sea level change prediction

One of the first identified impacts of climate change is sea level rise, which poses a serious risk to populations who live in coastal areas. The rate of global sea level rise has been accelerating in recent decades. Dynamic ice mass loss from the Antarctic ice sheet is considered the biggest contributor of uncertainty regarding sea level projections. Detecting acceleration is also challenging. Current ice sheet models do not account for transport of sediment under ice. The EU-funded NEMOSID project will address these shortcomings by developing a framework for glacier ice, water and sediment. This will enable the analysis of climate perturbation sensitivity. More specifically, it will investigate the dynamical evolution of ice flow and basal environment. The framework will also improve the accuracy of predicted global mean sea level change.

Objective

Global sea level changes are grand humanitarian challenges in the 21st century and beyond. The biggest contributor and uncertainty to sea-level projections is dynamical ice-mass loss from the Antarctic Ice Sheet. Fast-moving ice primarily flows by sliding over weak and water-saturated sedimentary deposits that are reshaped into undulations and depositional wedges in the process.
Current ice-sheet models do not account for transport of sediment under ice, and commonly assume that basal friction increases if ice flow accelerates. In this project I propose to address these shortcomings by deriving a realistic coupled framework for glacier ice, water and sediment. The sediment model is constrained by laboratory experiments and is coupled to a new model of subglacial hydrology. The ice-water-sediment model is compared to landforms and sedimentary deposits from previous glaciations, as well as contemporary ice sheet flow patterns. The framework allows analysis of climate-perturbation sensitivity, with particular investigation into the dynamical evolution of ice flow and basal environment. By incorporating previously neglected processes, the developed model framework will improve the accuracy of predicted global-mean sea-level change in the future.

Fields of science (EuroSciVoc)

Programme(s)

Topic(s)

Funding Scheme

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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Call for proposal

(opens in new window) H2020-MSCA-IF-2019

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Coordinator

AARHUS UNIVERSITET
Net EU contribution
€ 219 312,00
Address
NORDRE RINGGADE 1
8000 Aarhus C
Denmark
Region
Danmark Midtjylland Østjylland
Activity type
Higher or Secondary Education Establishments
Links
Total cost
€ 219 312,00