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Mapping the spatial variability of rainfall from a physiographic-based multilinear regression: model development and application to the Southwestern Iberian Peninsula

2022Journal article Restricted access
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dc.contributor.authorRuiz-Ortiz, Verónica
dc.contributor.authorG. P. Isidoro, Jorge M.
dc.contributor.authorFernandez, Helena Maria
dc.contributor.authorGranja-Martins, Fernando M.
dc.contributor.authorGarcía-López, Santiago
dc.date.accessioned2022-12-21T15:16:02Z
dc.date.available2022-12-21T15:16:02Z
dc.date.issued2022
dc.description.abstractA physiographic-based multilinear regression model supported by GIS was developed to estimate spatial rainfall variability in the Southwest Iberian Peninsula. The area study includes a wide diversity of landscape features and comprises four Portuguese regions and one Spanish province (totalizing 28,860 km(2)). The region suffers a very strong Mediterranean influence, with a major cleavage between winter and summer seasons. Thus, the analysis was carried out separately for the wet (October to March) and dry (April to September) semesters. From an initial set of 10 explanatory physiographic variables, five were selected to be used in the multilinear regression, as they allowed generating models by map algebra that fitted well with the last 40 years of monthly rainfall data records. These records were obtained from 163 weather stations, filtered from an initial set of 230 (142 stations in Portugal and 88 in Spain). The correlation between the physiographic-based multilinear regression model and a model obtained by interpolation from rainfall historical data showed to be good or very good in approximately 75% of the area under study. Results show that physiographic-based models can be effectively used to estimate rainfall where there is a lack of rain gauges, or to densify spatial resolution of rainfall between rain gauges.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/s10661-022-10312-4pt_PT
dc.identifier.issn0167-6369
dc.identifier.urihttp://hdl.handle.net/10400.1/18701
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer- Verlagpt_PT
dc.relationMarine and Environmental Sciences Centre
dc.relationResearch Centre for Tourism, Sustainability and Well-being
dc.subjectRainfallpt_PT
dc.subjectPhysiographypt_PT
dc.subjectMultilinear regressionpt_PT
dc.subjectInterpolationpt_PT
dc.subjectMap algebrapt_PT
dc.subjectIberian Peninsulapt_PT
dc.titleMapping the spatial variability of rainfall from a physiographic-based multilinear regression: model development and application to the Southwestern Iberian Peninsulapt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMarine and Environmental Sciences Centre
oaire.awardTitleResearch Centre for Tourism, Sustainability and Well-being
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04292%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04020%2F2020/PT
oaire.citation.issue10pt_PT
oaire.citation.titleEnvironmental Monitoring and Assessmentpt_PT
oaire.citation.volume194pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameMaria Neto Paixão Vazquez Fernandez Martins
person.familyNameGranja Martins
person.givenNameHelena
person.givenNameFernando Miguel
person.identifierR-001-Y1F
person.identifier.ciencia-idC010-F769-4244
person.identifier.ciencia-idE31E-E89E-38CE
person.identifier.orcid0000-0002-3677-1064
person.identifier.orcid0000-0002-2709-804X
person.identifier.ridD-5675-2017
person.identifier.scopus-author-id56609809200
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
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