Take away message: The graph on the right shows that AR5 process based ice sheet projections are optimistic and over confident when compared to views of ice sheet experts. To be fair they do mention a possible collapse scenario which could close the gap.
Arguably the most uncertain component of sea level rise projections is the rate of future ice sheet mass loss. In AR4 ice sheet models were unable to simulate key processes and the AR4 sea level projections were hugely criticized for being too conservative.
Since the AR4 there has been great progress in ice sheet modelling but ice-sheet ocean interaction is still a major challenge. E.g. IPCC AR5 is still unable to give scenario dependent projections of the dynamic ice loss (see AR5 table 13.5) and it is unable to assess the probability of an Antarctic collapse. This lead them to exclude this possibility from the process based sea level projections in table 13.5, and only report the ‘likely’ range.
The “best” picture of the full uncertainty in ice sheet mass loss projections is from the expert elicitation by Bamber & Aspinall (2013). Figure 1 compares how the AR5 “process based” ice sheet projections (table 13.5) compare to the views from this ice sheet expert elicitation.
Conservative & Overconfident
AR5 process based model projections are much more conservative/ optimistic and has much more narrow uncertainties than the ice sheet experts (Fig.1). There can be no good reason for why the AR5 authors have much greater confidence in their ability to project ice sheet loss than ice sheet experts themselves. Notably the best guess view of ice sheet experts nearly falls outside the AR5 process based range. The worst case scenario from ice sheet experts is more than 60 cm higher than the worst case from the AR5 process models.
Clearly, the process based SLR projections from AR5 are over-confident and too conservative by themselves. You have to invoke a significant probability of a collapse of Antarctic marine based sectors before it can be reconciled with Bamber & Aspinall (2013). This is particularly important for the worst case, but it is also evident that even the central estimates from AR5 process based models are practically inconsistent with the views of ice sheet experts (fig.1).
Another way to put it: the central AR5 ice sheet projection are incompatible with the views held by about half of ice sheet experts.
Footnote: other comparisons
- Uncertainties from semi-empirical models show much better correspondence with ice sheet experts. (fig.1)
- I consider a constant mass loss at present day rates to be the absolute lower limit of plausibility in a warming world. This is shown as “Extrap” in figure 1. Notice how this lower limit excludes much of the lower tail of the AR5, AR4, and AR4+ sea level projections.
- The AR5 projects that there is 21% chance that the 21stC ice sheet mass loss will be slower than the present rate under RCP4.5. IMO this is simply implausible. (Assuming normality of the extrap and AR5 numbers)
- Extrap: Fixed rate of mass loss rate based on Shepherd et al. (2012). (An absolute lower limit of plausibility IMO)
- AR4: Ice sheet mass loss excluding scaled-up ice sheet discharge. (AR4 WG1 Table 10.7).
- AR4+: Ice sheet mass loss including scaled-up ice sheet discharge. (AR4 WG1 Table 10.7). Context for “larger values cannot be excluded” can be found in the AR4 SPM.
- SEM*: full range of semi-empirical projections for RCP4.5 subtracted a central estimate of the non-ice sheet contributions to SLR. (Calculated from AR5 table 13.6 minus central values from AR5 table 13.5).
- AR5: “process based” ice sheet projections from table 13.5. These do not account for a potential collapse of Antarctic marine based sectors which may contribute up to several decimetres (shown as thin shaded line).
- Ice sheet experts. refers to Bamber and Aspinall (2013) table S1 5-95%. Notice: not specifically RCP4.5.
All projections have been scaled to 100 years. AR4 estimates are based on A1B but scaled with the RCP45/A1B ratio (=90%) from AR5 figure 13.10. Some assumptions on normality and covariance structure were necessary to derive 5-95% confidence intervals from the likely ranges reported in AR5 table 13.5.
- IPCC AR5 WG1 sea level chapter and summary for policy makers.
- IPCC AR4 chapter 10.
- Bamber & Aspinall, Nature Clim. Change 3, 424–427 (2013).
- Cooke, (2013) Expert judgement assessment: Quantifying uncertainty on thin ice., Nature Clim. Change. doi:10.1038/nclimate1860
- Shepherd, Andrew, Erik R. Ivins, A. Geruo, Valentina R. Barletta, Mike J. Bentley, Srinivas Bettadpur, Kate H. Briggs et al. “A reconciled estimate of ice-sheet mass balance.” Science 338, no. 6111 (2012): 1183-1189. doi:10.1126/science.1228102