Abstract
Future projections of sea-level rise under strong warming scenarios are dominated by mass loss in the marine-grounded sectors of West Antarctica, where thinning shelves as a result of warming oceans can lead to reduced buttressing. This consequently leads to accelerated flow from the upstream grounded ice. However, the relation between warming oceans and increased melt rates under the shelves is very uncertain, especially when interactions with the changing shelf geometry are considered. Here, we compare six widely used, highly parameterised formulations relating sub-shelf melt to thermal forcing. We implemented them in an ice-sheet model, and applied the resulting set-up to an idealised-geometry setting, as well as to the Antarctic ice sheet. In our simulations, the differences in modelled ice-sheet evolution resulting from the choice of parameterisation, as well as the choice of numerical scheme used to apply sub-shelf melt near the grounding line, generally are larger than differences from ice-dynamical processes such as basal sliding, as well as uncertainties from the forcing scenario of the model providing the ocean forcing. This holds for the idealised-geometry experiments as well as for the experiments using a realistic Antarctic topography.
| Original language | English |
|---|---|
| Article number | PII S0022143023000333 |
| Pages (from-to) | 1434 - 1448 |
| Number of pages | 15 |
| Journal | Journal of Glaciology |
| Volume | 69 |
| Issue number | 277 |
| Early online date | 1 Jun 2023 |
| DOIs | |
| Publication status | Published - Oct 2023 |
Bibliographical note
Publisher Copyright:© The Author(s), 2023.
Funding
This publication was supported by PROTECT. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no. 869304 (PROTECT; [article number will be assigned upon acceptance for publication!]). The use of supercomputer facilities was sponsored by NWO Exact and Natural Sciences. Model runs were performed on the Dutch National Supercomputer Snellius. We would like to acknowledge SurfSARA Computing and Networking Services for their support. L.B. Stap is funded by the Dutch Research Council (NWO), through VENI grant VI.Veni.202.031.
| Funders | Funder number |
|---|---|
| Horizon 2020 Framework Programme | |
| Nederlandse Organisatie voor Wetenschappelijk Onderzoek | VI.Veni.202.031 |
| Horizon 2020 | 869304 |
Keywords
- Ice
- Basal
- Ice-sheet modelling
- Melt
- Ocean interactions