CCPortal
DOI10.1038/s41612-020-0121-5
Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from an expert survey
Horton B.P.; Khan N.S.; Cahill N.; Lee J.S.H.; Shaw T.A.; Garner A.J.; Kemp A.C.; Engelhart S.E.; Rahmstorf S.
发表日期2020
ISSN23973722
卷号3期号:1
英文摘要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, The Author(s).
语种英语
scopus关键词climate change; estimation method; global warming; meltwater; panel data; scenario analysis; sea level change; survey method; uncertainty analysis; Antarctic Ice Sheet; Antarctica
来源期刊npj Climate and Atmospheric Science
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/178055
作者单位Asian School of the Environment, Nanyang Technological University, Singapore, 639798, Singapore; Earth Observatory of Singapore, Nanyang Technological University, Singapore, 639798, Singapore; Department of Earth Sciences and Swire Marine Institute, The University of Hong Kong, Hong Kong; Department of Mathematics and Statistics, Maynooth University, Maynooth, Ireland; Department of Environmental Science, Rowan University, Glassboro, NJ 08028, United States; Department of Earth and Ocean Sciences, Tufts University, Medford, MA 02155, United States; Department of Geography, Durham University, Durham, DH1 3LE, United Kingdom; Potsdam Institute for Climate Impact Research, Telegrafenberg A62, Potsdam, 144473, Germany; Institute of Physics and Astronomy, University of Potsdam, Telegrafenberg A62, Potsdam, 144473, Germany
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GB/T 7714
Horton B.P.,Khan N.S.,Cahill N.,et al. Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from an expert survey[J],2020,3(1).
APA Horton B.P..,Khan N.S..,Cahill N..,Lee J.S.H..,Shaw T.A..,...&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).
MLA Horton B.P.,et al."Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from an expert survey".npj Climate and Atmospheric Science 3.1(2020).
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