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Relationships among Intermodel Spread and Biases in Tropical Atlantic Sea Surface Temperatures

dc.contributor.authorMohino Harris, Elsa
dc.contributor.authorRodríguez De Fonseca, María Belén
dc.contributor.authorMechoso, Roberto
dc.contributor.authorLosada Doval, Teresa
dc.contributor.authorPolo Sánchez, Irene
dc.date.accessioned2024-01-08T16:31:01Z
dc.date.available2024-01-08T16:31:01Z
dc.date.issued2019
dc.description.abstractState-of-the-art general circulation models show important systematic errors in their simulation of sea surface temperatures (SST), especially in the tropical Atlantic. In this work the spread in the simulation of climatological SST in the tropical Atlantic by 24 CMIP5 models is examined, and its relationship with the mean systematic biases in the region is explored. The modes of intermodel variability are estimated by applying principal component (PC) analysis to the SSTs in the region 70ºW–20ºE, 20ºS–20ºN. The intermodel variability is approximately explained by the first three modes. The first mode is related to warmer SSTs in the basin, shows worldwide connections with same-signed loads over most of the tropics, and is connected with lower low cloud cover over the eastern parts of the subtropical oceans. The second mode is restricted to the Atlantic, where it shows negative and positive loads to the north and south of the equator, respectively, and is connected to a too weak Atlantic meridional overturning circulation (AMOC). The third mode is related to the double intertropical convergence zone bias in the Pacific and to an interhemispheric asymmetry in the net radiation at the top of the atmosphere. The structure of the second mode is closer to the mean bias than that of the others in the tropical Atlantic, suggesting that model difficulties with the AMOC contribute to the regional biases. State-of-the-art general circulation models show important systematic errors in their simulation of sea surface tem-peratures (SST), especially in the tropical Atlantic. In this work the spread in the simulation of climatological SST in the tropical Atlantic by 24 CMIP5 models is examined, and its relationship with the mean systematic biases in the region is explored. The modes of intermodel variability are estimated by applying principal component (PC) analysis to the SSTs in the region 708W–208E, 208S–208N. The intermodel variability is approximately explained by the first three modes. The first mode is related to warmer SSTs in the basin, shows worldwide connections with same-signed loads over most of the tropics, and is connected with lower low cloud cover over the eastern parts of the subtropical oceans. The second mode is restricted to the Atlantic, where it shows negative and positive loads to the north and south of the equator, respectively, and is connected to a too weak Atlantic meridional overturning circulation (AMOC). The third mode is related to the double intertropical convergence zone bias in the Pacific and to an interhemispheric asymmetry in the net radiation at the top of the atmosphere. The structure of the second mode is closer to the mean bias than that of the others in the tropical Atlantic, suggesting that model difficulties with the AMOC contribute to the regional biases.eng
dc.description.departmentDepto. de Física de la Tierra y Astrofísica
dc.description.facultyFac. de Ciencias Físicas
dc.description.refereedTRUE
dc.description.sponsorshipEuropean Commission
dc.description.sponsorshipMinisterio de Ciencia e Innovación (España)
dc.description.sponsorshipNational Oceanic and Atmospheric Aministration
dc.description.statuspub
dc.identifier.citationMohino, E., Rodríguez-Fonseca, B., Mechoso, C. R., Losada, T., & Polo, I. (2019). Relationships among intermodel spread and biases in tropical Atlantic sea surface temperatures. Journal of Climate, 32(12), 3615-3635.
dc.identifier.doi10.1175/JCLI-D-18-0846.1
dc.identifier.essn1520-0442
dc.identifier.issn0894-8755
dc.identifier.officialurlhttps://doi.org/10.1175/JCLI-D-18-0846.1
dc.identifier.relatedurlhttps://journals.ametsoc.org/view/journals/clim/32/12/jcli-d-18-0846.1.xml
dc.identifier.urihttps://hdl.handle.net/20.500.14352/91866
dc.issue.number12
dc.journal.titleJournal of Climate
dc.language.isoeng
dc.page.final3535
dc.page.initial3615
dc.publisherAmerican Meteorological Society (AMS)
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2017-86415-R/ES/PREDICTIBILIDAD DEL CLIMA EN EL SECTOR ATLANTICO/
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/603521/EU
dc.relation.projectIDinfo:eu-repo/grantAgreement//NOAA’s Climate Program Office, Climate Variability and Predictability Program Award/NA14OAR4310278
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//IJCI-2015-26645/ES/IJCI-2015-26645/
dc.rights.accessRightsopen access
dc.subject.cdu551.51
dc.subject.keywordAtmosphere-ocean interaction
dc.subject.keywordClimate models
dc.subject.keywordModel comparison
dc.subject.ucmFísica atmosférica
dc.subject.unesco2501.03 Interacción Mar-Aire
dc.subject.unesco2501.06 Dinámica Atmosférica
dc.titleRelationships among Intermodel Spread and Biases in Tropical Atlantic Sea Surface Temperaturesen
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number32
dspace.entity.typePublication
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relation.isAuthorOfPublicationd74aa455-1e6d-4a25-8ac2-348f2dbcdccf
relation.isAuthorOfPublicationa3494605-922c-4914-8015-fb37bf6f596a
relation.isAuthorOfPublication3b36c31e-a46b-4f43-896b-bb0ec386447d
relation.isAuthorOfPublication.latestForDiscovery84d10b42-61ac-49db-9b8e-96f321127a00

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