Climatic Change

, Volume 115, Issue 3, pp 893–902

Toward a physically plausible upper bound of sea-level rise projections

  • Ryan L. Sriver
  • Nathan M. Urban
  • Roman Olson
  • Klaus Keller
Letter

DOI: 10.1007/s10584-012-0610-6

Cite this article as:
Sriver, R.L., Urban, N.M., Olson, R. et al. Climatic Change (2012) 115: 893. doi:10.1007/s10584-012-0610-6

Abstract

Anthropogenic sea-level rise (SLR) causes considerable risks. Designing a sound SLR risk-management strategy requires careful consideration of decision-relevant uncertainties such as the reasonable upper bound of future SLR. The recent Intergovernmental Panel on Climate Change’s (IPCC) Fourth Assessment reported a likely upper SLR bound in the year 2100 near 0.6 m (meter). More recent studies considering semi-empirical modeling approaches and kinematic constraints on glacial melting suggest a reasonable 2100 SLR upper bound of approximately 2 m. These recent studies have broken important new ground, but they largely neglect uncertainties surrounding thermal expansion (thermosteric SLR) and/or observational constraints on ocean heat uptake. Here we quantify the effects of key parametric uncertainties and observational constraints on thermosteric SLR projections using an Earth system model with a dynamic three-dimensional ocean, which provides a mechanistic representation of deep ocean processes and heat uptake. Considering these effects nearly doubles the contribution of thermosteric SLR compared to previous estimates and increases the reasonable upper bound of 2100 SLR projections by 0.25 m. As an illustrative example of the effect of overconfidence, we show how neglecting thermosteric uncertainty in projections of the SLR upper bound can considerably bias risk analysis and hence the design of adaptation strategies. For conditions close to the Port of Los Angeles, the 0.25 m increase in the reasonable upper bound can result in a flooding-risk increase by roughly three orders of magnitude. Results provide evidence that relatively minor underestimation of the upper bound of projected SLR can lead to major downward biases of future flooding risks.

Copyright information

© Springer Science+Business Media Dordrecht 2012

Authors and Affiliations

  • Ryan L. Sriver
    • 1
  • Nathan M. Urban
    • 2
  • Roman Olson
    • 3
  • Klaus Keller
    • 3
    • 4
  1. 1.Department of Atmospheric SciencesUniversity of Illinois at Urbana-ChampaignUrbanaUSA
  2. 2.Energy Security CenterLos Alamos National LaboratoryLos AlamosUSA
  3. 3.Department of GeosciencesThe Pennsylvania State UniversityUniversity ParkUSA
  4. 4.Earth and Environmental Systems InstituteThe Pennsylvania State UniversityUniversity ParkUSA