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An R package for daily precipitation climate series reconstruction

AutorSerrano-Notivoli, Roberto; Luis, Martín de; Beguería, Santiago
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
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