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dc.contributor.authorSerrano-Notivoli, Robertoes_ES
dc.contributor.authorLuis, Martín dees_ES
dc.contributor.authorBeguería, Santiagoes_ES
dc.date.accessioned2017-03-23T09:35:46Z-
dc.date.available2017-03-23T09:35:46Z-
dc.date.issued2017-03-
dc.identifier.citationSerrano-Notivoli R, Luis M, Beguería S. An R package for daily precipitation climate series reconstruction. Environmental Modelling & Software 89: 190–195 (2017)es_ES
dc.identifier.issn1364-8152-
dc.identifier.urihttp://hdl.handle.net/10261/147194-
dc.description15 Pags. - 3 Figs. The definitive version, with Appendix and Supplementary Data, is available at: http://www.sciencedirect.com/science/journal/13648152es_ES
dc.description.abstractDaily precipitation datasets are usually large, bulky and hard to handle, but they are of key importance in many environmental studies. We developed a tool to create custom datasets from observed daily precipitation records. Reference values (RV) are computed for each day and location using multivariate logistic regression with altitude, latitude and longitude as covariates. The operations were compiled in an Open Source R package called reddPrec. The reddPrec package consists of a set of functions used to: i) apply a comprehensive quality control over original daily precipitation datasets, flagging suspect data based on five predefined criteria; ii) fill missing values in original data series by estimating precipitation values using the 10 nearest observations for each day; and iii) create new series and gridded datasets in locations where no data were recorded.es_ES
dc.description.sponsorshipThis study was supported by research projects CGL2012-31668, CGL2015-69985-R, CGL2011-24185 and CGL2014-52135-C3-1-R, financed by the Spanish Ministerio de Economía y Competitividad (MINECO) and FEDER-ERDF funds. We were financially supported by the Government of Aragón through the ‘Programme of research groups’ (groups ‘H38, Clima, Cambio Global y Sistemas Naturales’ and ‘E68, Geomorfología y Cambio Global’).es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation.isversionofPostprintes_ES
dc.rightsopenAccesses_ES
dc.subjectreddPreces_ES
dc.subjectDaily precipitationes_ES
dc.subjectQuality controles_ES
dc.subjectMissing valueses_ES
dc.subjectGrides_ES
dc.titleAn R package for daily precipitation climate series reconstructiones_ES
dc.typeartículoes_ES
dc.identifier.doi10.1016/j.envsoft.2016.11.005-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.envsoft.2016.11.005es_ES
dc.embargo.terms2019-03-31es_ES
dc.rights.licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.contributor.funderMinisterio de Economía y Competitividad (España)es_ES
dc.contributor.funderEuropean Commissiones_ES
dc.contributor.funderGobierno de Aragónes_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003329es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000780es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100010067es_ES
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