Journal article 176 views 20 downloads
Amundsen Sea Embayment ice-sheet mass-loss predictions to 2050 calibrated using observations of velocity and elevation change
,
Stephen Cornford,
Lin Gilbert,
Inés Otosaka,
Daniel Martin ,
Trystan Surawy-Stepney
Journal of Glaciology, Pages: 1 - 11
Swansea University Author:
Suzanne Bevan
-
PDF | Version of Record
© The Author(s), 2023. Published by Cambridge University Press on behalf of The International Glaciological Society. Distributed under the terms of a Creative Commons Attribution 4.0 License (CC BY 4.0).
Download (15.78MB)
DOI (Published version): 10.1017/jog.2023.57
Abstract
Mass loss from the Amundsen Sea Embayment of the West Antarctic Ice Sheet is a major contributor to global sea-level rise (SLR) and has been increasing over recent decades. Predictions of future SLR are increasingly modelled using ensembles of simulations within which model parameters and external f...
| Published in: | Journal of Glaciology |
|---|---|
| ISSN: | 0022-1430 1727-5652 |
| Published: |
Cambridge University Press (CUP)
2023
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa64517 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract: |
Mass loss from the Amundsen Sea Embayment of the West Antarctic Ice Sheet is a major contributor to global sea-level rise (SLR) and has been increasing over recent decades. Predictions of future SLR are increasingly modelled using ensembles of simulations within which model parameters and external forcings are varied within credible ranges. Accurately reporting the uncertainty associated with these predictions is crucial in enabling effective planning for, and construction of defences against, rising sea levels. Calibrating model simulations against current observations of ice-sheet behaviour enables the uncertainty to be reduced. Here we calibrate an ensemble of BISICLES ice-sheet model simulations of ice loss from the Amundsen Sea Embayment using remotely sensed observations of surface elevation and ice speed. Each calibration type is shown to be capable of reducing the 90% credibility bounds of predicted contributions to SLR by 34 and 43% respectively. |
|---|---|
| Keywords: |
Antarctic glaciology, glaciological model experiments, ice-sheet modelling |
| College: |
Faculty of Science and Engineering |
| Funders: |
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 contribution number 71. Support for this work was provided through the Scientific Discovery through Advanced Computing (SciDAC) program funded by the U.S. Department of Energy (DOE), Office of Science, Biological and Environmental Research and Advanced Scientific Computing Research programs, as a part of the ProSPect SciDAC Partnership. Work at Berkeley Lab was supported by the Director, Office of Science, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility located at Lawrence Berkeley National Laboratory, operated under Contract No. DE-AC02-05CH11231 using NERSC award ASCR-ERCAPm1041. |
| Start Page: |
1 |
| End Page: |
11 |