Projected 21st century changes in extreme wind-wave events.


Journal

Science advances
ISSN: 2375-2548
Titre abrégé: Sci Adv
Pays: United States
ID NLM: 101653440

Informations de publication

Date de publication:
Jun 2020
Historique:
received: 08 10 2019
accepted: 17 04 2020
entrez: 25 6 2020
pubmed: 25 6 2020
medline: 25 6 2020
Statut: epublish

Résumé

We describe an innovative approach to estimate global changes in extreme wave conditions by 2100, as a result of projected climate change. We generate a synthetic dataset from an ensemble of wave models forced by independent climate simulation winds, enhancing statistical confidence associated with projected changes in extreme wave conditions. Under two IPCC representative greenhouse gas emission scenarios (RCP4.5 and RCP8.5), we find that the magnitude of a 1 in 100-year significant wave height (

Identifiants

pubmed: 32577512
doi: 10.1126/sciadv.aaz7295
pii: aaz7295
pmc: PMC7286683
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

eaaz7295

Informations de copyright

Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

Références

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Auteurs

Alberto Meucci (A)

Department of Infrastructure Engineering, University of Melbourne, Melbourne, VIC 3010, Australia.

Ian R Young (IR)

Department of Infrastructure Engineering, University of Melbourne, Melbourne, VIC 3010, Australia.

Mark Hemer (M)

CSIRO Oceans and Atmosphere, Hobart, TAS 7001, Australia.

Ebru Kirezci (E)

Department of Infrastructure Engineering, University of Melbourne, Melbourne, VIC 3010, Australia.

Roshanka Ranasinghe (R)

Department of Water Science and Engineering, IHE-Delft, P.O. Box 3015, 2610 DA Delft, Netherlands.
Harbour, Coastal and Offshore Engineering, Deltares, P.O. Box 177, 2600 MH Delft, Netherlands.
Water Engineering and Management, Faculty of Engineering Technology, University of Twente, P.O. Box 217, 7500 AE Enschede, Netherlands.

Classifications MeSH