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A multimethod interpolation approach for mapping the spatial distribution of rainfall in southwest Iberian Peninsula

2024-08-20Journal article Restricted access
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dc.contributor.authorRuiz-Ortiz, Verónica
dc.contributor.authorMaria Neto Paixão Vazquez Fernandez Martins, Helena
dc.contributor.authorGranja Martins, Fernando Miguel
dc.contributor.authorVélez-Nicolás, Mercedes
dc.contributor.authorIsidoro, Jorge
dc.contributor.authorGarcía-López, Santiago
dc.date.accessioned2024-10-11T12:32:48Z
dc.date.available2024-10-11T12:32:48Z
dc.date.issued2024-08-20
dc.description.abstractEight spatial interpolation models were used to map the spatial distribution of precipitation in the southwestern sector of the Iberian Peninsula (22330 km2) over 40 years (1980/1981-2019/2020). Rainfall data from 103 meteorological stations were used to generate the interpolation models, namely inverse distance weight (IDW) with 6, 12 and 24 points, regression spline (RS), thin spline (TS), universal kriging with spherical and Gaussian variogram (UK_Sphe and UK_gauss, respectively) and multilinear regression (MR), based on physiographic and geographic variables. Furthermore, 32 rainfall stations were used to assess the performance of the previous methods through 7 statistical metrics Ordinary Least Squares (OLS), Root Mean Square Error (RMSE), Normalized root mean square error (NRMSE), Coefficient of determination (R2), Nash-Sutcliffe efficiency coefficient (NSE), Mean Absolute Error (Bias and MAE). Based on these metrics, UK_gauss and IDW_6 provided the best adjustments, whereas MR presented the highest errors. All methods were suitable to predict the spatial distribution of rainfall, but adjustments are conditioned by the features of the study area, gauge density and gauge spatial distribution.eng
dc.identifier.doi10.1080/02626667.2024.2387805
dc.identifier.eissn2150-3435
dc.identifier.issn0262-6667
dc.identifier.urihttp://hdl.handle.net/10400.1/26050
dc.language.isoeng
dc.peerreviewedyes
dc.publisherTaylor and Francis
dc.relationResearch Centre for Tourism, Sustainability and Well-being
dc.relationCentre for Marine and Environmental Research (CIMA)
dc.relationAquatic Research Infrastructure Network
dc.relation.ispartofHydrological Sciences Journal
dc.rights.uriN/A
dc.subjectRainfall
dc.subjectInverse distance weight
dc.subjectSpline
dc.subjectUniversal kriging
dc.subjectMultilinear regression
dc.subjectSouthwestern Iberian Peninsula
dc.titleA multimethod interpolation approach for mapping the spatial distribution of rainfall in southwest Iberian Peninsulaeng
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleResearch Centre for Tourism, Sustainability and Well-being
oaire.awardTitleCentre for Marine and Environmental Research (CIMA)
oaire.awardTitleAquatic Research Infrastructure Network
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04020%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00350%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0069%2F2020/PT
oaire.citation.endPage1749
oaire.citation.issue13
oaire.citation.startPage1736
oaire.citation.titleHydrological Sciences Journal
oaire.citation.volume69
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMaria Neto Paixão Vazquez Fernandez Martins
person.familyNameGranja Martins
person.familyNameIsidoro
person.givenNameHelena
person.givenNameFernando Miguel
person.givenNameJorge
person.identifierR-001-Y1F
person.identifierR-000-7SY
person.identifier.ciencia-idC010-F769-4244
person.identifier.ciencia-idE31E-E89E-38CE
person.identifier.ciencia-idA617-A962-DE4F
person.identifier.orcid0000-0002-3677-1064
person.identifier.orcid0000-0002-2709-804X
person.identifier.orcid0000-0002-6901-5652
person.identifier.ridD-5675-2017
person.identifier.ridN-1814-2015
person.identifier.scopus-author-id56609809200
person.identifier.scopus-author-id55250130500
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.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
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