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Ice sheet contributions to future sea-level rise from structured expert judgment
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 predictiv...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6561295/ https://www.ncbi.nlm.nih.gov/pubmed/31110015 http://dx.doi.org/10.1073/pnas.1817205116 |
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author | Bamber, Jonathan L. Oppenheimer, Michael Kopp, Robert E. Aspinall, Willy P. Cooke, Roger M. |
author_facet | Bamber, Jonathan L. Oppenheimer, Michael Kopp, Robert E. Aspinall, Willy P. Cooke, Roger M. |
author_sort | Bamber, Jonathan L. |
collection | PubMed |
description | 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%. |
format | Online Article Text |
id | pubmed-6561295 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-65612952019-06-17 Ice sheet contributions to future sea-level rise from structured expert judgment Bamber, Jonathan L. Oppenheimer, Michael Kopp, Robert E. Aspinall, Willy P. Cooke, Roger M. Proc Natl Acad Sci U S A Physical Sciences 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%. National Academy of Sciences 2019-06-04 2019-05-20 /pmc/articles/PMC6561295/ /pubmed/31110015 http://dx.doi.org/10.1073/pnas.1817205116 Text en Copyright © 2019 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Physical Sciences Bamber, Jonathan L. Oppenheimer, Michael Kopp, Robert E. Aspinall, Willy P. Cooke, Roger M. 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 |
title_full | Ice sheet contributions to future sea-level rise from structured expert judgment |
title_fullStr | Ice sheet contributions to future sea-level rise from structured expert judgment |
title_full_unstemmed | Ice sheet contributions to future sea-level rise from structured expert judgment |
title_short | Ice sheet contributions to future sea-level rise from structured expert judgment |
title_sort | ice sheet contributions to future sea-level rise from structured expert judgment |
topic | Physical Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6561295/ https://www.ncbi.nlm.nih.gov/pubmed/31110015 http://dx.doi.org/10.1073/pnas.1817205116 |
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