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Interannual variability of precipitation distribution patterns in Southern Portugal

datacite.subject.fosCiências Naturais::Ciências da Terra e do Ambiente
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorMourato, S.
dc.contributor.authorMoreira, M.
dc.contributor.authorCorte‐Real, J.
dc.date.accessioned2025-12-04T14:40:06Z
dc.date.available2025-12-04T14:40:06Z
dc.date.issued2009-09-29
dc.description.abstractSouthern Portugal is characterized by an irregular distribution of precipitation which is highly variable from year to year, requiring a clear ascertaining if the pattern of the precipitation is changing due to climate variability or climate change. In this paper, the authors applied several statistical methods to annual and seasonal time series of precipitation during the period 1931-2006, in order to detect trends and evaluate the variability in the frequencies of occurrence of dry and wet periods and also to assess spatial distribution patterns. The statistical methods include homogeneity tests, Mann-Kendall test, simple moving averages and cluster analysis. In spring, the authors detected a lack of homogeneity in the precipitation time series and a significant decreasing trend of precipitation was identified, by using simple moving averages and the Mann-Kendall test. Cluster analyses also confirmed the results and identified significant trends in the interannual and spatial distributions of dry, normal and wet years. It is concluded that the annual precipitation regime in the North interior sector is becoming drier, as the winter and spring also become drier. The only season in which a precipitation increase is observed is at fall and near the sea, but even for that region springs are also becoming drier.eng
dc.description.sponsorshipThe authors would like to express their warm thanks to the two anonymous reviewers, whose contributions and suggestions greatly improved the content and the quality of the paper. This research was developed under the projects: Desurvey – a surveillance system for assessing and monitoring of desertification (EU Contract IP – 003950); and BioAridRisk – Space-Time Evaluation of the Risks of Climate Change Based on an Aridity Index (POCI/CLI/ 56371/2004).
dc.identifier.citationMourato, S., Moreira, M. and Corte-Real, J. (2010), Interannual variability of precipitation distribution patterns in Southern Portugal. Int. J. Climatol., 30: 1784-1794. https://doi.org/10.1002/joc.2021.
dc.identifier.doi10.1002/joc.2021
dc.identifier.eissn1097-0088
dc.identifier.issn0899-8418
dc.identifier.urihttp://hdl.handle.net/10400.8/14872
dc.language.isoeng
dc.peerreviewedyes
dc.publisherWiley
dc.relation.hasversionhttps://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.2021
dc.relation.ispartofInternational Journal of Climatology
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjecthomogeneity
dc.subjecttrend analysis
dc.subjectprecipitation patterns
dc.subjectclusters techniques
dc.subjectclimate variability
dc.titleInterannual variability of precipitation distribution patterns in Southern Portugaleng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1794
oaire.citation.issue12
oaire.citation.startPage1784
oaire.citation.titleInternational Journal of Climatology
oaire.citation.volume30
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMourato
person.givenNameSandra
person.identifier.ciencia-idC81B-16CD-EDFE
person.identifier.orcid0000-0001-9545-2584
person.identifier.scopus-author-id56387285400
relation.isAuthorOfPublication66af47bd-4c47-48ec-8f3a-f6ce092514db
relation.isAuthorOfPublication.latestForDiscovery66af47bd-4c47-48ec-8f3a-f6ce092514db

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Southern Portugal is characterized by an irregular distribution of precipitation which is highly variable from year to year, requiring a clear ascertaining if the pattern of the precipitation is changing due to climate variability or climate change. In this paper, the authors applied several statistical methods to annual and seasonal time series of precipitation during the period 1931-2006, in order to detect trends and evaluate the variability in the frequencies of occurrence of dry and wet periods and also to assess spatial distribution patterns. The statistical methods include homogeneity tests, Mann-Kendall test, simple moving averages and cluster analysis. In spring, the authors detected a lack of homogeneity in the precipitation time series and a significant decreasing trend of precipitation was identified, by using simple moving averages and the Mann-Kendall test. Cluster analyses also confirmed the results and identified significant trends in the interannual and spatial distributions of dry, normal and wet years. It is concluded that the annual precipitation regime in the North interior sector is becoming drier, as the winter and spring also become drier. The only season in which a precipitation increase is observed is at fall and near the sea, but even for that region springs are also becoming drier.
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