Skip to main content
Publications | Persons | Institutes | Projects
[ report an error in this record ]basket (0): add | show Print this page

Illustrative multi‐centennial projections of global mean sea‐level rise and their application
Turner, F.E.; Malagon Santos, V.; Edwards, T.L.; Slangen, A.B.A.; Nicholls, R.J.; Le Cozannet, G.; O’Neill, J.F.; Adhikari, M. (2023). Illustrative multi‐centennial projections of global mean sea‐level rise and their application. Earth's Future 11(12): e2023EF003550. https://dx.doi.org/10.1029/2023ef003550
In: Earth's Future. Wiley: New York. e-ISSN 2328-4277, more
Peer reviewed article  

Available in  Authors 

Authors  Top 
  • Turner, F.E.
  • Malagon Santos, V., more
  • Edwards, T.L.
  • Slangen, A.B.A., more
  • Nicholls, R.J., more
  • Le Cozannet, G.
  • O’Neill, J.F.
  • Adhikari, M.

Abstract
    We produce projections of global mean sea-level rise to 2500 for low and medium emissions scenarios (Shared Socioeconomic Pathways SSP1-2.6 and SSP2-4.5) relative to 2020, based on extending and combining model ensemble data from current literature. We find that emissions have a large effect on sea-level rise on these long timescales, with [5, 95]% intervals of [0.3, 4.3]m and [1.0, 7.6]m under SSP1-2.6 and SSP2-4.5 respectively, and a difference in the 95% quantile of 1.6 m at 2300 and 3.3 m at 2500 for the two scenarios. The largest and most uncertain component is the Antarctic ice sheet, projected to contribute 5%–95% intervals of [−0.1, 2.3]m by 2500 under SSP1-2.6 and [0.0, 3.8]m under SSP2-4.5. We discuss how the simple statistical extensions used here could be replaced with more physically based methods for more robust predictions. We show that, despite their uncertainties, current multi-centennial projections combined into multi-study projections as presented here can be used to avoid future “lock-ins” in terms of risk and adaptation needs to sea-level rise.

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors