EGU24-8114, updated on 08 Mar 2024
https://doi.org/10.5194/egusphere-egu24-8114
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Calculating exposure to extreme sea level risk will require high resolution ice sheet models

C. Rosie Williams1, Pierre Thodoroff2, Robert J. Arthern1, James Byrne1, J. Scott Hosking1,3, Markus Kaiser2,4, Neil D. Lawrence2, and Ieva Kazlauskaite5,6
C. Rosie Williams et al.
  • 1British Antarctic Survey, Cambridge, UK
  • 2Department of Computer Science and Technology, University of Cambridge, Cambridge, UK
  • 3The Alan Turing Institute, London, UK
  • 4Monumo Ltd, Cambridge, UK
  • 5Department of Engineering, University of Cambridge, Cambridge, UK
  • 6Department of Statistical Science, UCL, London, UK

The West Antarctic Ice Sheet (WAIS) is losing ice and its annual contribution to sea level is increasing. The future behaviour of WAIS will impact societies worldwide, yet deep uncertainty remains in the expected rate of ice loss. High impact low likelihood scenarios of sea level rise are needed by risk-averse stakeholders but are particularly difficult to constrain. Here we combine traditional model simulations of the Amundsen Sea sector of WAIS with Gaussian process emulation to show that ice-sheet models capable of resolving kilometre-scale basal topography will be needed to assess the probability of extreme scenarios of sea level rise. This resolution exceeds many state-of-the-art continent-scale simulations. Our model simulations show that lower resolutions tend to overestimate future sea level contribution and inflate the tails of the distribution. We therefore caution against relying purely upon low resolution simulations when assessing the potential for societally important high impact sea level rise.

How to cite: Williams, C. R., Thodoroff, P., Arthern, R. J., Byrne, J., Hosking, J. S., Kaiser, M., Lawrence, N. D., and Kazlauskaite, I.: Calculating exposure to extreme sea level risk will require high resolution ice sheet models, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-8114, https://doi.org/10.5194/egusphere-egu24-8114, 2024.