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Poster Title

Probabilistic Sea-Level Projections from Ice Sheet and Earth System Models 1: Ice Sheet Model Development

AuthorsMauro PeregoJeremy N Bassis, Luca Bertagna, Matt Hoffman, Daniel Martin (Unlicensed), Esmond G. Ng (Unlicensed), Mauro Perego, Stephen Price, Andy Salinger, Irina Tezaur, Ray Tuminaro, Jerry Watkins
First AuthorMauro Perego
Session TypeE3SM Session
Session IDE4
Submission TypeposterPoster
GroupNGD/Ecosystem: SciDAC ProSPect
ExperimentCryosphere (v2-v4)
Poster Link




Abstract

The contribution to sea-level rise from shrinking glaciers and ice sheets is increasing. Observed acceleration in the rate of ice loss from the Greenland and Antarctic ice sheets is a concern, particularly for the West Antarctic Ice Sheet (WAIS) where much of the ice sheet is , which is largely grounded below sea level and the ice sheet’s . This geometric configuration might be unstable to small perturbations.makes Antarctica susceptible to a dynamic instability that could result in a catastrophic collapse of one or more ice shelves as a result of relatively small perturbations at the ice sheet's margins. While ice sheet models have become significantly more advanced over the past decade, they are still incomplete in many ways; hence, there are large uncertainties in these models' projections of future sea-level rise. The goal of the ProSPect SciDAC partnership is to address the current limitations of the DOE ice sheet and Earth system models (that limit their use for making accurate sea-level projections. These include inadequate or missing model physics, incomplete couplings between models, and deficiencies in methods for model initialization, validation, and uncertainty quantification) that prevent accurate sea-level projections.In this poster we present recent developments of the ice sheet models . This poster focuses on recent ProSPect efforts towards ice sheet model development to incorporate missing physics (ice - damage, fracture and calving, subglacial hydrology, enthalpy) and to improve the overall computational efficiency and portability of the models (through the incorporation of adaptive mesh refinement, solver preconditioners, performance portabilityscalable and efficient solvers preconditioners and performance portable kernels).