Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

                    

Page Properties


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 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, which is largely grounded below sea level. This geometric configuration makes it 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 ice sheet models have become significantly more advanced over the past decade, they are still incomplete in many ways, and thus lead to large uncertainties when applied towards ; hence, there are large uncertainties in these models' projections of future sea-level rise. The goal of the ProSPect SciDAC partnership is to address current limitations to of 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. This  This poster focuses on recent ProSPect efforts under ProSPect towards ice sheet model development to incorporate missing physics (ice damage, fracture , and , calving, subglacial hydrology, and enthalpy) and to improve the overall computational efficiency and portability of the models (through the incorporation of adaptive mesh refinement, solver scalable and efficient solvers preconditioners , and performance portabilityportable kernels).