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Indices of precipitation extremes in Southern Portugal-a geostatistical approach

2009-01-07Artigo científico Acesso aberto
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dc.contributor.authorDur̃ao, R.
dc.contributor.authorJ.Pereira, M.
dc.contributor.authorCosta, Ana Cristina
dc.contributor.authorM.Ĉorte-Real, J.
dc.contributor.authorSoares, A.
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.pblCopernicus Publications
dc.date.accessioned2019-03-22T23:16:53Z
dc.date.available2019-03-22T23:16:53Z
dc.date.issued2009-01-07
dc.descriptionDur̃ao, R., J.Pereira, M., C.Costa, A., M.Ĉorte-Real, J., & Soares, A. (2009). Indices of precipitation extremes in Southern Portugal-a geostatistical approach. Natural Hazards and Earth System Science, 9(1), 241-250. https://doi.org/10.5194/nhess-9-241-2009
dc.description.abstractMost of the actual studies and previews of future rainfall patterns, based on past observed records for Mediterranean climate areas, focus on the decline of the rainfall amounts over the years, and also on the increase of the frequency of heavy/intense rainfall events particularly in the winter season. These changes in heavy rainfall events may have severe implications and impacts on soil erosion resulting in increased soil degradation risks. The objective of the present work is to evaluate the spatial distribution of extreme precipitation events in Southern Portugal, using a geostatistical approach to assess the relationships between spatial and temporal extreme rainfall patterns. The used dataset comprises a set of 105 stations' records of daily precipitation within the period 1960-1999. Two indices of extreme precipitation were selected to be computed based on the daily precipitation observation series: one representing the frequency of extremely heavy precipitation events (R30) and another one characterizing flood events (R5D). The space-time patterns of the precipitation indices were evaluated and simulated using a geostatistical approach. Despite no significant temporal trends were detected on the calculated indices series, the space-time decadal patterns are becoming more continuous in the last two decades than the previous ones.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent10
dc.format.extent991838
dc.identifier.doi10.5194/nhess-9-241-2009
dc.identifier.issn1561-8633
dc.identifier.otherPURE: 12323688
dc.identifier.otherPURE UUID: e359b3d2-5c55-45ab-9e0c-bb311893f6e6
dc.identifier.otherScopus: 77949522403
dc.identifier.otherWOS: 000263838500023
dc.identifier.otherORCID: /0000-0003-2904-1028/work/64041066
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=77949522403&partnerID=8YFLogxK
dc.identifier.urlhttps://www.scopus.com/pages/publications/77949522403
dc.language.isoeng
dc.peerreviewedyes
dc.subjectGeneral Earth and Planetary Sciences
dc.subjectSDG 13 - Climate Action
dc.titleIndices of precipitation extremes in Southern Portugal-a geostatistical approachen
dc.typejournal article
degois.publication.firstPage241
degois.publication.issue1
degois.publication.lastPage250
degois.publication.titleNatural Hazards and Earth System Sciences
degois.publication.volume9
dspace.entity.typePublication
rcaap.rightsopenAccess

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