Print Email Facebook Twitter Ice sheet contributions to future sea-level rise from structured expert judgment Title Ice sheet contributions to future sea-level rise from structured expert judgment Author Bamber, Jonathan L. (University of Bristol) Oppenheimer, Michael (Princeton University) Kopp, Robert E. (Rutgers University) Aspinall, Willy P. (University of Bristol; Aspinall and Associates) Cooke, R.M. (TU Delft Applied Probability; Resources for the Future) Date 2019 Abstract Despite considerable advances in process understanding, numerical modeling, and the observational record of ice sheet contributions to global mean sea-level rise (SLR) since the Fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change, severe limitations remain in the predictive capability of ice sheet models. As a consequence, the potential contributions of ice sheets remain the largest source of uncertainty in projecting future SLR. Here, we report the findings of a structured expert judgement study, using unique techniques for modeling correlations between inter- and intra-ice sheet processes and their tail dependences. We find that since the AR5, expert uncertainty has grown, in particular because of uncertain ice dynamic effects. For a +2 °C temperature scenario consistent with the Paris Agreement, we obtain a median estimate of a 26 cm SLR contribution by 2100, with a 95th percentile value of 81 cm. For a +5 °C temperature scenario more consistent with unchecked emissions growth, the corresponding values are 51 and 178 cm, respectively. Inclusion of thermal expansion and glacier contributions results in a global total SLR estimate that exceeds 2 m at the 95th percentile. Our findings support the use of scenarios of 21st century global total SLR exceeding 2 m for planning purposes. Beyond 2100, uncertainty and projected SLR increase rapidly. The 95th percentile ice sheet contribution by 2200, for the +5 °C scenario, is 7.5 m as a result of instabilities coming into play in both West and East Antarctica. Introducing process correlations and tail dependences increases estimates by roughly 15%. Subject AntarcticaClimate predictionsGreenlandIce sheetsSea-level rise To reference this document use: http://resolver.tudelft.nl/uuid:c017ce86-95a7-4a4d-8e3b-144d88c39ca4 DOI https://doi.org/10.1073/pnas.1817205116 ISSN 0027-8424 Source Proceedings of the National Academy of Sciences of the United States of America, 116 (23), 11195-11200 Part of collection Institutional Repository Document type journal article Rights © 2019 Jonathan L. Bamber, Michael Oppenheimer, Robert E. Kopp, Willy P. Aspinall, R.M. Cooke Files PDF 11195.full.pdf 874.44 KB Close viewer /islandora/object/uuid:c017ce86-95a7-4a4d-8e3b-144d88c39ca4/datastream/OBJ/view