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dc.contributor.authorVázquez Domínguez, Marta 
dc.contributor.authorNieto Muñiz, Raquel Olalla 
dc.contributor.authorLiberato, Margarida L.R.
dc.contributor.authorGimeno Presa, Luis 
dc.date.accessioned2021-11-19T13:36:08Z
dc.date.available2021-11-19T13:36:08Z
dc.date.issued2021-04
dc.identifier.citationData in Brief, 35, 106830 (2021)spa
dc.identifier.issn23523409
dc.identifier.urihttp://hdl.handle.net/11093/2725
dc.descriptionFinanciado para publicación en acceso aberto: Universidade de Vigo/CISUG
dc.description.abstractMost of the moisture transported in the globe has its origin in the well-known main moisture sources defined by Gimeno et al. [1]. They provide moisture for precipitation over continental areas in the world in different proportions. This paper presents the daily moisture contribution over each 0.5 × 0.5 continental gridded point from the three preferred moisture sources (primary, secondary, and tertiary) for continental extreme precipitation during the Peak Precipitation Month. The data consist of the moisture contribution () field by month from the three preferred sources obtained using an approach based on the Lagrangian particle dispersion model FLEXPART. The data here presented is directly related to the results presented in Vazquez et al.eng
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades | Ref. RTI2018–095772-B-I00spa
dc.description.sponsorshipXunta de Galicia | Ref. ED481B 2018/062spa
dc.description.sponsorshipXunta de Galicia | Ref. ED431C 2017/64-GRCspa
dc.description.sponsorshipFundação para a Ciência e a Tecnologia, Portugal | Ref. PTD/CTA-MET/ 29233/2017spa
dc.language.isoengen
dc.publisherData in Briefspa
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleA data base of contributions of major oceanic and terrestrial moisture sources on continental daily extreme precipitationeng
dc.typearticlespa
dc.rights.accessRightsopenAccessspa
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095772-B-I00/ESspa
dc.identifier.doi10.1016/j.dib.2021.106830
dc.identifier.editorhttps://linkinghub.elsevier.com/retrieve/pii/S2352340921001141spa
dc.publisher.departamentoFísica aplicadaspa
dc.publisher.grupoinvestigacionEphysLabspa
dc.subject.unesco2501 Ciencias de la Atmósferaspa
dc.subject.unesco2502 Climatologíaspa
dc.subject.unesco2508.10 Precipitaciónspa
dc.date.updated2021-11-19T13:26:59Z
dc.computerCitationpub_title=Data in Brief|volume=35|journal_number=|start_pag=106830|end_pag=spa
dc.referencesThis work forms part of the LAGRIMA project (RTI2018–095772-B-I00) by the Ministerio de Ciencia, Innovación y Universidades, Spain. Marta Vazquez is supported by the Xunta de Galicia under grant ED481B 2018/062. Margarida L.R. Liberato acknowledges funding from Fundação para a Ciência e a Tecnologia, Portugal (FCT) and Portugal Horizon 2020 through project WEx-Atlantic (PTDC/CTA-MET/29233/2017) and for the academic mobility to the Environmental Physics Laboratory (EPhysLab), Universidade de Vigo, Spain under Fundación Carolina (C.2019). This work was partially supported by Xunta de Galicia under Project ED431C 2017/64-GRC “Programa de Consolidación e Estructuración de Unidades de Investigación Competitivas (Grupos de Referencia Competitiva)”, co-funded by the European Regional Development Fund, European-Union (FEDER)spa


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    Attribution 4.0 International
    Except where otherwise noted, this item's license is described as Attribution 4.0 International