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NEMOSID SIGNED

Next-generation Modeling of Sedimentary Ice-sheet Dynamics

Total Cost €

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EC-Contrib. €

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Partnership

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Project "NEMOSID" data sheet

The following table provides information about the project.

Coordinator
AARHUS UNIVERSITET 

Organization address
address: NORDRE RINGGADE 1
city: AARHUS C
postcode: 8000
website: www.au.dk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Denmark [DK]
 Total cost 219˙312 €
 EC max contribution 219˙312 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2019
 Funding Scheme MSCA-IF-EF-RI
 Starting year 2020
 Duration (year-month-day) from 2020-07-01   to  2022-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    AARHUS UNIVERSITET DK (AARHUS C) coordinator 219˙312.00

Map

 Project 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.

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The information about "NEMOSID" are provided by the European Opendata Portal: CORDIS opendata.

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