Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from an expert survey

Sea-level rise projections and knowledge of their uncertainties are vital to make informed mitigation and adaptation decisions. To elicit projections from members of the scientific community regarding future global mean sea-level (GMSL) rise, we repeated a survey originally conducted five years ago....

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Main Authors: Horton, Benjamin Peter, Khan, Nicole S., Cahill, Niamh, Lee, Janice Ser Huay, Shaw, Timothy Adam, Garner, Andra J., Kemp, Andrew C., Engelhart, Simon E., Rahmstorf, Stefan
Other Authors: Asian School of the Environment
Format: Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/143900
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-143900
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 Engineering::Environmental engineering
Climate-change Impacts
Projection and Prediction
spellingShingle Engineering::Environmental engineering
Climate-change Impacts
Projection and Prediction
Horton, Benjamin Peter
Khan, Nicole S.
Cahill, Niamh
Lee, Janice Ser Huay
Shaw, Timothy Adam
Garner, Andra J.
Kemp, Andrew C.
Engelhart, Simon E.
Rahmstorf, Stefan
Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from an expert survey
description Sea-level rise projections and knowledge of their uncertainties are vital to make informed mitigation and adaptation decisions. To elicit projections from members of the scientific community regarding future global mean sea-level (GMSL) rise, we repeated a survey originally conducted five years ago. Under Representative Concentration Pathway (RCP) 2.6, 106 experts projected a likely (central 66% probability) GMSL rise of 0.30–0.65 m by 2100, and 0.54–2.15 m by 2300, relative to 1986–2005. Under RCP 8.5, the same experts projected a likely GMSL rise of 0.63–1.32 m by 2100, and 1.67–5.61 m by 2300. Expert projections for 2100 are similar to those from the original survey, although the projection for 2300 has extended tails and is higher than the original survey. Experts give a likelihood of 42% (original survey) and 45% (current survey) that under the high-emissions scenario GMSL rise will exceed the upper bound (0.98 m) of the likely range estimated by the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, which is considered to have an exceedance likelihood of 17%. Responses to open-ended questions suggest that the increases in upper-end estimates and uncertainties arose from recent influential studies about the impact of marine ice cliff instability on the meltwater contribution to GMSL rise from the Antarctic Ice Sheet.
author2 Asian School of the Environment
author_facet Asian School of the Environment
Horton, Benjamin Peter
Khan, Nicole S.
Cahill, Niamh
Lee, Janice Ser Huay
Shaw, Timothy Adam
Garner, Andra J.
Kemp, Andrew C.
Engelhart, Simon E.
Rahmstorf, Stefan
format Article
author Horton, Benjamin Peter
Khan, Nicole S.
Cahill, Niamh
Lee, Janice Ser Huay
Shaw, Timothy Adam
Garner, Andra J.
Kemp, Andrew C.
Engelhart, Simon E.
Rahmstorf, Stefan
author_sort Horton, Benjamin Peter
title Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from an expert survey
title_short Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from an expert survey
title_full Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from an expert survey
title_fullStr Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from an expert survey
title_full_unstemmed Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from an expert survey
title_sort estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from an expert survey
publishDate 2020
url https://hdl.handle.net/10356/143900
_version_ 1765213851598454784
spelling sg-ntu-dr.10356-1439002023-05-05T03:40:30Z Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from an expert survey Horton, Benjamin Peter Khan, Nicole S. Cahill, Niamh Lee, Janice Ser Huay Shaw, Timothy Adam Garner, Andra J. Kemp, Andrew C. Engelhart, Simon E. Rahmstorf, Stefan Asian School of the Environment Earth Observatory of Singapore Engineering::Environmental engineering Climate-change Impacts Projection and Prediction Sea-level rise projections and knowledge of their uncertainties are vital to make informed mitigation and adaptation decisions. To elicit projections from members of the scientific community regarding future global mean sea-level (GMSL) rise, we repeated a survey originally conducted five years ago. Under Representative Concentration Pathway (RCP) 2.6, 106 experts projected a likely (central 66% probability) GMSL rise of 0.30–0.65 m by 2100, and 0.54–2.15 m by 2300, relative to 1986–2005. Under RCP 8.5, the same experts projected a likely GMSL rise of 0.63–1.32 m by 2100, and 1.67–5.61 m by 2300. Expert projections for 2100 are similar to those from the original survey, although the projection for 2300 has extended tails and is higher than the original survey. Experts give a likelihood of 42% (original survey) and 45% (current survey) that under the high-emissions scenario GMSL rise will exceed the upper bound (0.98 m) of the likely range estimated by the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, which is considered to have an exceedance likelihood of 17%. Responses to open-ended questions suggest that the increases in upper-end estimates and uncertainties arose from recent influential studies about the impact of marine ice cliff instability on the meltwater contribution to GMSL rise from the Antarctic Ice Sheet. Ministry of Education (MOE) National Research Foundation (NRF) Published version Sea-level rise projections and knowledge of their uncertainties are vital to make informed mitigation and adaptation decisions. To elicit projections from members of the scientific community regarding future global mean sea-level (GMSL) rise, we repeated a survey originally conducted five years ago. Under Representative Concentration Pathway (RCP) 2.6, 106 experts projected a likely (central 66% probability) GMSL rise of 0.30–0.65 m by 2100, and 0.54–2.15 m by 2300, relative to 1986–2005. Under RCP 8.5, the same experts projected a likely GMSL rise of 0.63–1.32 m by 2100, and 1.67–5.61 m by 2300. Expert projections for 2100 are similar to those from the original survey, although the projection for 2300 has extended tails and is higher than the original survey. Experts give a likelihood of 42% (original survey) and 45% (current survey) that under the high-emissions scenario GMSL rise will exceed the upper bound (0.98 m) of the likely range estimated by the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, which is considered to have an exceedance likelihood of 17%. Responses to open-ended questions suggest that the increases in upper-end estimates and uncertainties arose from recent influential studies about the impact of marine ice cliff instability on the meltwater contribution to GMSL rise from the Antarctic Ice Sheet. 2020-09-30T05:36:26Z 2020-09-30T05:36:26Z 2020 Journal Article Horton, B. P., Khan, N. S., Cahill, N., Lee, J. S. H., Shaw, T. A., Garner, A. J., . . . Rahmstorf, S. (2020). Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from an expert survey. npj Climate and Atmospheric Science, 3(1), 18-. doi:10.1038/s41612-020-0121-5 2397-3722 https://hdl.handle.net/10356/143900 10.1038/s41612-020-0121-5 1 3 en npj Climate and Atmospheric Science 10.21979/N9/JBCF2Q © 2020 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. application/pdf