000064380 001__ 64380
000064380 005__ 20230111103817.0
000064380 0247_ $$2doi$$a10.1016/j.envsoft.2016.11.005
000064380 0248_ $$2sideral$$a98243
000064380 037__ $$aART-2017-98243
000064380 041__ $$aeng
000064380 100__ $$0(orcid)0000-0001-7663-1202$$aSerrano-Notivoli, Roberto$$uUniversidad de Zaragoza
000064380 245__ $$aAn R package for daily precipitation climate series reconstruction
000064380 260__ $$c2017
000064380 5060_ $$aAccess copy available to the general public$$fUnrestricted
000064380 5203_ $$aDaily 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.
000064380 536__ $$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/CGL2012-31668$$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/CGL2011-24185$$9info:eu-repo/grantAgreement/ES/MINECO/CGL2015-69985-R$$9info:eu-repo/grantAgreement/ES/MINECO/CGL2014-52135-C3-1-R$$9info:eu-repo/grantAgreement/ES/DGA-FSE/H38$$9info:eu-repo/grantAgreement/ES/DGA/E68
000064380 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000064380 590__ $$a4.177$$b2017
000064380 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b9 / 105 = 0.086$$c2017$$dQ1$$eT1
000064380 591__ $$aENVIRONMENTAL SCIENCES$$b43 / 241 = 0.178$$c2017$$dQ1$$eT1
000064380 591__ $$aENGINEERING, ENVIRONMENTAL$$b14 / 50 = 0.28$$c2017$$dQ2$$eT1
000064380 592__ $$a1.963$$b2017
000064380 593__ $$aEcological Modeling$$c2017$$dQ1
000064380 593__ $$aSoftware$$c2017$$dQ1
000064380 593__ $$aEnvironmental Engineering$$c2017$$dQ1
000064380 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000064380 700__ $$0(orcid)0000-0002-7585-3636$$aLuis, Martín de$$uUniversidad de Zaragoza
000064380 700__ $$aBeguería, Santiago
000064380 7102_ $$13006$$2430$$aUniversidad de Zaragoza$$bDpto. Geograf. Ordenac.Territ.$$cÁrea Geografía Física
000064380 7102_ $$13006$$2010$$aUniversidad de Zaragoza$$bDpto. Geograf. Ordenac.Territ.$$cÁrea Análisis Geográfico Regi.
000064380 773__ $$g89 (2017), 190-195$$pEnviron. model. softw.$$tENVIRONMENTAL MODELLING & SOFTWARE$$x1364-8152
000064380 8564_ $$s354736$$uhttps://zaguan.unizar.es/record/64380/files/texto_completo.pdf$$yPostprint
000064380 8564_ $$s60799$$uhttps://zaguan.unizar.es/record/64380/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000064380 909CO $$ooai:zaguan.unizar.es:64380$$particulos$$pdriver
000064380 951__ $$a2023-01-11-10:04:30
000064380 980__ $$aARTICLE