Two important studies out in @nature yesterday projecting future sea level rise from Antarctica and other sources which are likely to drive discussion among ice sheet modelers, so a đŸ§” with some thoughts and aggregated resources (1/n)
There are a number of great threads from co-authors and news stories on the headline findings, which I'll link at the bottom of this thread. Here, I’ll point out some of the bits I found the most interesting and how they point towards future research priorities (4/n)
There is a lack of consensus on cliff heights because the shear strength of damaged glacier ice is difficult to measure, but there are promising new approaches (e.g. from @LizzUltee ) using observations to infer these important parameters (6/n) https://doi.org/10.1017/jog.2020.65
The only way to produce tall ice cliffs (i.e. which don't think viscous deformation) is the rapid collapse of ice shelves, which in this model occurs with enough surface melt driving hydrofracture (9/n)
None of the constraints in this study (modern or paleo) rule out any simulations on the upper bound of the ensemble, indicating that much higher potential sea level rise from Antarctica is possible, though not simulated here (16/n)
The new study from @flimsin et al provides an interesting contrast largely because it provides probabilistic projections without constraints from sea level (though of course the models within it are validated on modern glaciological observations) (18/n)
“Risk-averse” projections seem to be particularly useful for stakeholders who do not necessarily want to parse the differences between models and emissions scenarios, where risk-averse sea level decisions are very sensitive to high-end uncertainty (21/n) https://doi.org/10.1007/s10584-016-1664-7
What I find so exciting about both studies is that they touch on so many of the interesting outstanding questions within our field and provide concrete connections from these fascinating glaciological puzzles to real consequences for coastal communities (22/n)
A thread from @danielgilford https://twitter.com/danielgilford/status/1389972985461846017
From @ScienceShaina https://twitter.com/ScienceShaina/status/1390001441578889220
Explainers/threads from @CarbonBrief https://twitter.com/CarbonBrief/status/1389960136496750593
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