Abstract

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.

Details

Title
Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from an expert survey
Author
Horton, Benjamin P 1   VIAFID ORCID Logo  ; Khan, Nicole S 2 ; Cahill, Niamh 3   VIAFID ORCID Logo  ; Lee Janice S H 4   VIAFID ORCID Logo  ; Shaw, Timothy A 4   VIAFID ORCID Logo  ; Garner, Andra J 5   VIAFID ORCID Logo  ; Kemp, Andrew C 6 ; Engelhart, Simon E 7   VIAFID ORCID Logo  ; Rahmstorf Stefan 8   VIAFID ORCID Logo 

 Nanyang Technological University, Asian School of the Environment, Singapore, Singapore (GRID:grid.59025.3b) (ISNI:0000 0001 2224 0361); Earth Observatory of Singapore, Nanyang Technological University, Singapore, Singapore (GRID:grid.59025.3b) (ISNI:0000 0001 2224 0361) 
 The University of Hong Kong, Department of Earth Sciences and Swire Marine Institute, Hong Kong, Hong Kong (GRID:grid.194645.b) (ISNI:0000000121742757) 
 Maynooth University, Department of Mathematics and Statistics, Maynooth, Ireland (GRID:grid.95004.38) (ISNI:0000 0000 9331 9029) 
 Nanyang Technological University, Asian School of the Environment, Singapore, Singapore (GRID:grid.59025.3b) (ISNI:0000 0001 2224 0361) 
 Rowan University, Department of Environmental Science, Glassboro, USA (GRID:grid.262671.6) (ISNI:0000 0000 8828 4546) 
 Tufts University, Department of Earth and Ocean Sciences, Medford, USA (GRID:grid.429997.8) (ISNI:0000 0004 1936 7531) 
 Durham University, Department of Geography, Durham, UK (GRID:grid.8250.f) (ISNI:0000 0000 8700 0572) 
 Potsdam Institute for Climate Impact Research, Potsdam, Germany (GRID:grid.4556.2) (ISNI:0000 0004 0493 9031); University of Potsdam, Institute of Physics and Astronomy, Potsdam, Germany (GRID:grid.11348.3f) (ISNI:0000 0001 0942 1117) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
23973722
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2400097192
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.