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Time series analysis of data for sea surface temperature and upwelling components from the southwest coast of Portugal

2016-07Journal article Restricted access
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dc.contributor.authorCosta Goela, Priscila
dc.contributor.authorCordeiro, Clara
dc.contributor.authorDanchenko, Sergei
dc.contributor.authorIcely, John
dc.contributor.authorCristina, Sónia
dc.contributor.authorNewton, Alice
dc.date.accessioned2017-04-07T15:55:50Z
dc.date.available2017-04-07T15:55:50Z
dc.date.issued2016-07
dc.description.abstractThis study relates sea surface temperature (SST) to the upwelling conditions off the southwest coast of Portugal using statistical analyses of publically available data. Optimum Interpolation (OI) of daily SST data were extracted from the United States (US) National Oceanic and Atmospheric Administration (NOAA) and data for wind speed and direction were from the US National Climatic Data Center. Time series were extracted at a daily frequency for a time horizon of 26 years. Upwelling indices were estimated using westerly (Q(x)) and southerly (Q(y)) Ekman transport components.In the first part of the study, time series were inspected for trend and seasonality over the whole period. The seasonally adjusted time series revealed an increasing slope for SST (0.15 degrees C per decade) and decreasing slopes for Q(x) (84.01 m(3) s(-1) km(-1) per decade) and Q(y) (-25.20 m(3) s(-1) km(-1) per decade), over the time horizon. Structural breaks analysis applied to the time series showed that a statistically significant incremental increase in SST was more pronounced during the last decade.Cross -correlation between upwelling indices and SST revealed a time delay of 5 and 2 days between Q(x) and SST, and between Qv and SST, respectively. A spectral analysis combined with the previous analysis enabled the identification of four oceanographic seasons. Those seasons were later recognised over a restricted time period of 4 years, between 2008 and 2012, when there was an extensive sampling programme for the validation of ocean colour remote sensing imagery. The seasons were defined as: summer, with intense and regular events of upwelling; autumn, indicating relaxation of upwelling conditions; and spring and winter, showing high inter annual variability in terms of number and intensity of upwelling events. (C) 2016 The Authors. Published by Elsevier B.V.
dc.identifier.doihttps://doi.org/10.1016/j.jmarsys.2016.06.002
dc.identifier.issn0924-7963
dc.identifier.otherAUT: ANE00265;
dc.identifier.urihttp://hdl.handle.net/10400.1/9237
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relationASSINATURA ESPECTRAL DAS COMUNIDADES FITOPLANCTÓNICAS NA COSTA SUDOESTE DE PORTUGAL: IMPACTO NOS DADOS DE DETECÇÃO REMOTA
dc.relationAQUA-USERS: AQUAculture USEr driven operational Remote Sensing information services
dc.relationEcosystem Approach to making Space for Aquaculture
dc.relationDEVelopment Of innovative Tools for understanding marine biodiversity and assessing good Environmental Status
dc.relation.isbasedonWOS:000382408000002
dc.subjectUpwelling
dc.subjectSea surface temperature
dc.subjectSpectral analysis
dc.subjectIberian Peninsula
dc.subjectSagres
dc.titleTime series analysis of data for sea surface temperature and upwelling components from the southwest coast of Portugal
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleASSINATURA ESPECTRAL DAS COMUNIDADES FITOPLANCTÓNICAS NA COSTA SUDOESTE DE PORTUGAL: IMPACTO NOS DADOS DE DETECÇÃO REMOTA
oaire.awardTitleAQUA-USERS: AQUAculture USEr driven operational Remote Sensing information services
oaire.awardTitleEcosystem Approach to making Space for Aquaculture
oaire.awardTitleDEVelopment Of innovative Tools for understanding marine biodiversity and assessing good Environmental Status
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F78356%2F2011/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBD%2F78354%2F2011/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FMAT%2F00006%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/607325/EU
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/633476/EU
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/308392/EU
oaire.citation.endPage22
oaire.citation.startPage12
oaire.citation.titleJournal of Marine Systems
oaire.citation.volume163
oaire.fundingStreamSFRH
oaire.fundingStream5876
oaire.fundingStreamFP7
oaire.fundingStreamH2020
oaire.fundingStreamFP7
person.familyNameIcely
person.familyNameCristina
person.familyNameNewton
person.givenNameJohn
person.givenNameSónia
person.givenNameAlice
person.identifier333937
person.identifier.ciencia-id6F13-1247-B2B7
person.identifier.orcid0000-0002-9114-8283
person.identifier.orcid0000-0002-5716-9750
person.identifier.orcid0000-0001-9286-5914
person.identifier.scopus-author-id6506626316
person.identifier.scopus-author-id7201391894
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameEuropean Commission
project.funder.nameEuropean Commission
project.funder.nameEuropean Commission
rcaap.rightsrestrictedAccess
rcaap.typearticle
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