Skip navigation
Skip navigation

A new approach to projecting 21st century sea-level changes and extremes

Goodwin, Philip; Haigh, Ivan D.; Rohling, Eelco; Slangen, Aimee

Description

Future increases in flooding potential around the world’s coastlines from extreme sea level events is heavily dependent on projections of future global mean sea level (GMSL) rise. Yet, the two main approaches for projecting 21st century GMSL rise—i.e., process-based versus semi-empirical—give inconsistent results. Here, a novel hybrid approach to GMSL projection, containing a process-based thermosteric contribution and a semi-empirical ice-melt contribution, is embedded within a conceptual...[Show more]

dc.contributor.authorGoodwin, Philip
dc.contributor.authorHaigh, Ivan D.
dc.contributor.authorRohling, Eelco
dc.contributor.authorSlangen, Aimee
dc.date.accessioned2021-04-29T03:42:09Z
dc.date.available2021-04-29T03:42:09Z
dc.identifier.issn2328-4277
dc.identifier.urihttp://hdl.handle.net/1885/231124
dc.description.abstractFuture increases in flooding potential around the world’s coastlines from extreme sea level events is heavily dependent on projections of future global mean sea level (GMSL) rise. Yet, the two main approaches for projecting 21st century GMSL rise—i.e., process-based versus semi-empirical—give inconsistent results. Here, a novel hybrid approach to GMSL projection, containing a process-based thermosteric contribution and a semi-empirical ice-melt contribution, is embedded within a conceptual Earth system model (ESM). The ESM is run 10 million times with random perturbations to multiple parameters, and future projections are made only from the simulations that are historically consistent. The projections from our hybrid approach are found to be consistent with the dominant process-based GMSL projections from the Climate Model Intercomparison Project phase 5 (CMIP5) ensemble, in that our future ensemble-mean projections lie within ±2 cm of CMIP5 for the end of the 21st century when CMIP5-simulated histories are used to constrain our approach. However, when observations are used to provide the historic constraints for our hybrid approach, we find higher ice-melt sensitivity and additional ensemble-mean GMSL rise of around 13–16 cm by the end of the century. We assess the impact of this additional GMSL rise, projected from observation-consistency, on the increase in frequency of extreme sea level events for 220 coastal tide-gauge sites. Accounting for regional effects, we infer a 1.5–8 times increase in the frequency of extreme sea-level events for our higher GMSL projections relative to CMIP5.
dc.description.sponsorshipThis work was supported by a UK Natural Environment Research Council (NERC) grants NE/P01495X/1 and NE/N009789/1, and contributes to UK-NERC consortium iGlass (NE/I009906/1). EJR acknowledges support from Australian Laureate Fellowship FL120100050
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherAmerican Geophysical Union
dc.rights© 2017 The Authors
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceEarth's Future
dc.titleA new approach to projecting 21st century sea-level changes and extremes
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume5
dc.date.issued2017
local.identifier.absfor059999 - Environmental Sciences not elsewhere classified
local.identifier.ariespublicationa383154xPUB5284
local.publisher.urlhttp://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2328-4277
local.type.statusPublished Version
local.contributor.affiliationGoodwin, Philip, University of Southampton
local.contributor.affiliationHaigh, Ivan D., University of Southampton
local.contributor.affiliationRohling, Eelco, College of Science, ANU
local.contributor.affiliationSlangen, Aimee, University of Utrecht
dc.relationhttp://purl.org/au-research/grants/arc/FL120100050
local.bibliographicCitation.issue2
local.bibliographicCitation.startpage240
local.bibliographicCitation.lastpage253
local.identifier.doi10.1002/2016EF000508
local.identifier.absseo970105 - Expanding Knowledge in the Environmental Sciences
dc.date.updated2020-11-23T10:06:48Z
local.identifier.scopusID2-s2.0-85013660702
local.identifier.thomsonID000396932200009
dcterms.accessRightsOpen Access
dc.provenanceThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
dc.rights.licenseCreative Commons Attribution License
CollectionsANU Research Publications

Download

File Description SizeFormat Image
01_Goodwin_A_new_approach_to_projecting_2017.pdf1.05 MBAdobe PDFThumbnail


This item is licensed under a Creative Commons License Creative Commons

Updated:  17 November 2022/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator