Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/147194
COMPARTIR / EXPORTAR:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invitar a revisión por pares abierta
Título

An R package for daily precipitation climate series reconstruction

AutorSerrano-Notivoli, Roberto CSIC ORCID ; Luis, Martín de; Beguería, Santiago CSIC ORCID
Palabras clavereddPrec
Daily precipitation
Quality control
Missing values
Grid
Fecha de publicaciónmar-2017
EditorElsevier
CitaciónSerrano-Notivoli R, Luis M, Beguería S. An R package for daily precipitation climate series reconstruction. Environmental Modelling & Software 89: 190–195 (2017)
ResumenDaily 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.
Descripción15 Pags. - 3 Figs. The definitive version, with Appendix and Supplementary Data, is available at: http://www.sciencedirect.com/science/journal/13648152
Versión del editorhttp://dx.doi.org/10.1016/j.envsoft.2016.11.005
URIhttp://hdl.handle.net/10261/147194
DOI10.1016/j.envsoft.2016.11.005
ISSN1364-8152
Aparece en las colecciones: (EEAD) Artículos




Ficheros en este ítem:
Fichero Descripción Tamaño Formato
BegueriaS_EnvModSoftw_2017.pdf1,23 MBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo

CORE Recommender

SCOPUSTM   
Citations

49
checked on 10-mar-2024

WEB OF SCIENCETM
Citations

46
checked on 24-feb-2024

Page view(s)

825
checked on 18-mar-2024

Download(s)

1.011
checked on 18-mar-2024

Google ScholarTM

Check

Altmetric

Altmetric


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.