A high-end estimate of sea level rise for practitioners

Sea level rise (SLR) is a long-lasting consequence of climate change because global anthropogenic warming takes centuries to millennia to equilibrate for the deep ocean and ice sheets. SLR projections based on climate models support policy analysis, risk assessment and adaptation planning today, des...

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Main Authors: van de Wal, R. S. W., Nicholls, R. J., Behar, D., McInnes, K., Stammer, D., Lowe, J. A., Church, J. A., DeConto, R., Fettweis, X., Goelzer, H., Haasnoot, M., Haigh, I. D., Hinkel, J., Horton, Benjamin Peter, James, T. S., Jenkins, A., LeCozannet, G., Levermann, A., Lipscomb, W. H., Marzeion, B., Pattyn, F., Payne, A. J., Pfeffer, W. T., Price, S. F., Seroussi, H., Sun, S., Veatch, W., White, K.
Other Authors: Asian School of the Environment
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/170839
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-170839
record_format dspace
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Geology
Climate Change
Global Warming
spellingShingle Science::Geology
Climate Change
Global Warming
van de Wal, R. S. W.
Nicholls, R. J.
Behar, D.
McInnes, K.
Stammer, D.
Lowe, J. A.
Church, J. A.
DeConto, R.
Fettweis, X.
Goelzer, H.
Haasnoot, M.
Haigh, I. D.
Hinkel, J.
Horton, Benjamin Peter
James, T. S.
Jenkins, A.
LeCozannet, G.
Levermann, A.
Lipscomb, W. H.
Marzeion, B.
Pattyn, F.
Payne, A. J.
Pfeffer, W. T.
Price, S. F.
Seroussi, H.
Sun, S.
Veatch, W.
White, K.
A high-end estimate of sea level rise for practitioners
description Sea level rise (SLR) is a long-lasting consequence of climate change because global anthropogenic warming takes centuries to millennia to equilibrate for the deep ocean and ice sheets. SLR projections based on climate models support policy analysis, risk assessment and adaptation planning today, despite their large uncertainties. The central range of the SLR distribution is estimated by process-based models. However, risk-averse practitioners often require information about plausible future conditions that lie in the tails of the SLR distribution, which are poorly defined by existing models. Here, a community effort combining scientists and practitioners builds on a framework of discussing physical evidence to quantify high-end global SLR for practitioners. The approach is complementary to the IPCC AR6 report and provides further physically plausible high-end scenarios. High-end estimates for the different SLR components are developed for two climate scenarios at two timescales. For global warming of +2°C in 2100 (RCP2.6/SSP1-2.6) relative to pre-industrial values our high-end global SLR estimates are up to 0.9 m in 2100 and 2.5 m in 2300. Similarly, for a (RCP8.5/SSP5-8.5), we estimate up to 1.6 m in 2100 and up to 10.4 m in 2300. The large and growing differences between the scenarios beyond 2100 emphasize the long-term benefits of mitigation. However, even a modest 2°C warming may cause multi-meter SLR on centennial time scales with profound consequences for coastal areas. Earlier high-end assessments focused on instability mechanisms in Antarctica, while here we emphasize the importance of the timing of ice shelf collapse around Antarctica. This is highly uncertain due to low understanding of the driving processes. Hence both process understanding and emission scenario control high-end SLR.
author2 Asian School of the Environment
author_facet Asian School of the Environment
van de Wal, R. S. W.
Nicholls, R. J.
Behar, D.
McInnes, K.
Stammer, D.
Lowe, J. A.
Church, J. A.
DeConto, R.
Fettweis, X.
Goelzer, H.
Haasnoot, M.
Haigh, I. D.
Hinkel, J.
Horton, Benjamin Peter
James, T. S.
Jenkins, A.
LeCozannet, G.
Levermann, A.
Lipscomb, W. H.
Marzeion, B.
Pattyn, F.
Payne, A. J.
Pfeffer, W. T.
Price, S. F.
Seroussi, H.
Sun, S.
Veatch, W.
White, K.
format Article
author van de Wal, R. S. W.
Nicholls, R. J.
Behar, D.
McInnes, K.
Stammer, D.
Lowe, J. A.
Church, J. A.
DeConto, R.
Fettweis, X.
Goelzer, H.
Haasnoot, M.
Haigh, I. D.
Hinkel, J.
Horton, Benjamin Peter
James, T. S.
Jenkins, A.
LeCozannet, G.
Levermann, A.
Lipscomb, W. H.
Marzeion, B.
Pattyn, F.
Payne, A. J.
Pfeffer, W. T.
Price, S. F.
Seroussi, H.
Sun, S.
Veatch, W.
White, K.
author_sort van de Wal, R. S. W.
title A high-end estimate of sea level rise for practitioners
title_short A high-end estimate of sea level rise for practitioners
title_full A high-end estimate of sea level rise for practitioners
title_fullStr A high-end estimate of sea level rise for practitioners
title_full_unstemmed A high-end estimate of sea level rise for practitioners
title_sort high-end estimate of sea level rise for practitioners
publishDate 2023
url https://hdl.handle.net/10356/170839
_version_ 1781793867423547392
spelling sg-ntu-dr.10356-1708392023-10-23T15:30:48Z A high-end estimate of sea level rise for practitioners van de Wal, R. S. W. Nicholls, R. J. Behar, D. McInnes, K. Stammer, D. Lowe, J. A. Church, J. A. DeConto, R. Fettweis, X. Goelzer, H. Haasnoot, M. Haigh, I. D. Hinkel, J. Horton, Benjamin Peter James, T. S. Jenkins, A. LeCozannet, G. Levermann, A. Lipscomb, W. H. Marzeion, B. Pattyn, F. Payne, A. J. Pfeffer, W. T. Price, S. F. Seroussi, H. Sun, S. Veatch, W. White, K. Asian School of the Environment Earth Observatory of Singapore Science::Geology Climate Change Global Warming Sea level rise (SLR) is a long-lasting consequence of climate change because global anthropogenic warming takes centuries to millennia to equilibrate for the deep ocean and ice sheets. SLR projections based on climate models support policy analysis, risk assessment and adaptation planning today, despite their large uncertainties. The central range of the SLR distribution is estimated by process-based models. However, risk-averse practitioners often require information about plausible future conditions that lie in the tails of the SLR distribution, which are poorly defined by existing models. Here, a community effort combining scientists and practitioners builds on a framework of discussing physical evidence to quantify high-end global SLR for practitioners. The approach is complementary to the IPCC AR6 report and provides further physically plausible high-end scenarios. High-end estimates for the different SLR components are developed for two climate scenarios at two timescales. For global warming of +2°C in 2100 (RCP2.6/SSP1-2.6) relative to pre-industrial values our high-end global SLR estimates are up to 0.9 m in 2100 and 2.5 m in 2300. Similarly, for a (RCP8.5/SSP5-8.5), we estimate up to 1.6 m in 2100 and up to 10.4 m in 2300. The large and growing differences between the scenarios beyond 2100 emphasize the long-term benefits of mitigation. However, even a modest 2°C warming may cause multi-meter SLR on centennial time scales with profound consequences for coastal areas. Earlier high-end assessments focused on instability mechanisms in Antarctica, while here we emphasize the importance of the timing of ice shelf collapse around Antarctica. This is highly uncertain due to low understanding of the driving processes. Hence both process understanding and emission scenario control high-end SLR. Ministry of Education (MOE) Published version This work is partially supported by the Centre for Southern Hemisphere Oceans Research, a joint research centre between the QNLM and the CSIRO, and Australian Research Council’s Discovery Project funding scheme (project DP190101173). This work is alo supported by PROTECT the European Union's Horizon 2020 research and innovation programme under grant agreement No 869304. HG has received funding from the Research Council of Norway under projects 270061, 295046, and 324639 and used resources provided by Sigma2 – the National Infrastructure for High Performance Computing and Data Storage in Norway through projects NS8006K, NS8085K, NS9560K, NS9252K, and NS5011K. IH’s time was funded through the UK Met Office Grant, Climate Resilience – High-impact storylines and scenarios for risk assessment and planning (CR20-4). AL has received funding from the Horizon 2020 Framework Programme of the European Union project RECEIPT (grant agreement 820712). KM involvement was supported by the Climate Systems Hub of the Australian Government’s National Environmental Science Programme (NESP). WHL has been supported by the National Center for Atmospheric Research, which is a major facility sponsored by the National Science Foundation under Cooperative Agreement No. 1852977. BM was supported by the Deutsche Forschungsgemeinschaft (grant no. MA 6966/1-2). FP This is a contribution to the PARAMOUR project supported by the Fonds de la Recherche Scientifique–FNRS under Grant number O0100718F (EOS ID 30454083). TSJ was supported by the Climate Change Geoscience Program of the Geological Survey of Canada. This is Natural Resources Canada contribution number 20210469. BPH was funded by the Ministry of Education Academic Research Fund MOE2019-T3-1-004. This work is Earth Observatory of Singapore contribution 480. J.C. was supported by the Centre for Southern Hemisphere Oceans Research (CSHOR), jointly funded by the Qingdao National Laboratory for Marine Science and Technology (QNLM, China) and the Commonwealth Scientific and Industrial Research Organisation (CSIRO, Australia), and the Australian Research Council's Discovery Project funding scheme (project DP190101173 and the Australian Research Council Special Research Initiative, Australian Centre for Excellence in Antarctic Science (Project Number SR200100008). HS is supported by grants from NASA’s Cryospheric Science and Sea Level Change Team programs. RvdW is financially supported by NPP. S.F.P. is supported by the U.S. Department of Energy Office of Science, Biological and Environmental Research program. This is PROTECT publication nr. 44. 2023-10-18T05:50:54Z 2023-10-18T05:50:54Z 2022 Journal Article van de Wal, R. S. W., Nicholls, R. J., Behar, D., McInnes, K., Stammer, D., Lowe, J. A., Church, J. A., DeConto, R., Fettweis, X., Goelzer, H., Haasnoot, M., Haigh, I. D., Hinkel, J., Horton, B. P., James, T. S., Jenkins, A., LeCozannet, G., Levermann, A., Lipscomb, W. H., ...White, K. (2022). A high-end estimate of sea level rise for practitioners. Earth's Future, 10(11). https://dx.doi.org/10.1029/2022EF002751 2328-4277 https://hdl.handle.net/10356/170839 10.1029/2022EF002751 36590252 2-s2.0-85143286560 11 10 en MOE2019-T3-1-004. Earth's Future © 2022 The Authors. Earth's Future published by Wiley Periodicals LLC on behalf of American Geophysical Union. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. application/pdf