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dc.contributor.authorAgulles, Miguel
dc.contributor.authorJorda, Gabriel
dc.contributor.authorHoteit, Ibrahim
dc.contributor.authorAgusti, Susana
dc.contributor.authorDuarte, Carlos M.
dc.date.accessioned2021-08-03T07:53:16Z
dc.date.available2021-08-03T07:53:16Z
dc.date.issued2021-07-30
dc.date.submitted2021-04-19
dc.identifier.citationAgulles, M., Jordà, G., Hoteit, I., Agustí, S., & Duarte, C. M. (2021). Assessment of Red Sea temperatures in CMIP5 models for present and future climate. PLOS ONE, 16(7), e0255505. doi:10.1371/journal.pone.0255505
dc.identifier.issn1932-6203
dc.identifier.pmid34329351
dc.identifier.doi10.1371/journal.pone.0255505
dc.identifier.urihttp://hdl.handle.net/10754/670372
dc.description.abstractThe increase of the temperature in the Red Sea basin due to global warming could have a large negative effect on its marine ecosystem. Consequently, there is a growing interest, from the scientific community and public organizations, in obtaining reliable projections of the Red Sea temperatures throughout the 21st century. However, the main tool used to do climate projections, the global climate models (GCM), may not be well suited for that relatively small region. In this work we assess the skills of the CMIP5 ensemble of GCMs in reproducing different aspects of the Red Sea 3D temperature variability. The results suggest that some of the GCMs are able to reproduce the present variability at large spatial scales with accuracy comparable to medium and high-resolution hindcasts. In general, the skills of the GCMs are better inside the Red Sea than outside, in the Gulf of Aden. Based on their performance, 8 of the original ensemble of 43 GCMs have been selected to project the temperature evolution of the basin. Bearing in mind the GCM limitations, this can be an useful benchmark once the high resolution projections are available. Those models project an averaged warming at the end of the century (2080–2100) of 3.3 ±> 0.6°C and 1.6 ±> 0.4°C at the surface under the scenarios RCP8.5 and RCP4.5, respectively. In the deeper layers the warming is projected to be smaller, reaching 2.2 ±> 0.5°C and 1.5 ±> 0.3°C at 300 m. The projected warming will largely overcome the natural multidecadal variability, which could induce temporary and moderate decrease of the temperatures but not enough to fully counteract it. We have also estimated how the rise of the mean temperature could modify the characteristics of the marine heatwaves in the region. The results show that the average length of the heatwaves would increase ~15 times and the intensity of the heatwaves ~4 times with respect to the present conditions under the scenario RCP8.5 (10 time and 3.6 times, respectively, under scenario RCP4.5).
dc.description.sponsorshipThis research was funded by King Abdullah University of Science and Technology.
dc.publisherPublic Library of Science (PLoS)
dc.relation.urlhttps://dx.plos.org/10.1371/journal.pone.0255505
dc.rightsThis is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleAssessment of Red Sea temperatures in CMIP5 models for present and future climate
dc.typeArticle
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.contributor.departmentMarine Science Program
dc.contributor.departmentRed Sea Research Center (RSRC)
dc.identifier.journalPLOS ONE
dc.identifier.pmcidPMC8323894
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionCentre Oceanogràfic de Balears, Instituto Español de Oceanografı´a, Palma, Spain.
dc.identifier.volume16
dc.identifier.issue7
dc.identifier.pagese0255505
kaust.personHoteit, Ibrahim
kaust.personAgusti, Susana
kaust.personDuarte, Carlos M.
dc.date.accepted2021-07-18
refterms.dateFOA2021-08-03T07:54:17Z


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This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Except where otherwise noted, this item's license is described as This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.