Mostrar el registro sencillo

dc.contributor.authorHerrera García, Sixto 
dc.contributor.authorCardoso, Rita Margarida
dc.contributor.authorMatos Soares, Pedro
dc.contributor.authorEspírito-Santo, Fátima
dc.contributor.authorViterbo, Pedro
dc.contributor.authorGutiérrez Llorente, José Manuel
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2020-02-05T15:03:26Z
dc.date.available2020-02-05T15:03:26Z
dc.date.issued2019-12-16
dc.identifier.issn1866-3508
dc.identifier.issn1866-3516
dc.identifier.otherCGL2015-66583-Res_ES
dc.identifier.urihttp://hdl.handle.net/10902/18095
dc.description.abstractThe present work presents a new observational gridded dataset (referred to as Iberia01) for daily precipitation and temperatures produced using a dense network (thousands) of stations over the Iberian Peninsula for the period 1971?2015 at 0.1∘ regular (and 0.11∘ CORDEX-compliant rotated) resolutions. We analyze mean and extreme indices and compare the results with the E-OBS v17 dataset (using both the standard and ensemble versions, at 0.25 and 0.1∘ resolutions, respectively), in order to assess observational uncertainty in this region. We show that Iberia01 produces more realistic precipitation patterns than E-OBS for the mean and extreme indices considered, although both are comparable for temperatures. To assess the differences between these datasets, a new probabilistic intercomparison analysis was performed, using the E-OBS ensemble (v17e) to characterize observational uncertainty and testing whether Iberia01 falls within the observational uncertainty range provided by E-OBS. In general, uncertainty values are large in the whole territory, with the exception of a number of kernels where the uncertainty is small, corresponding to the stations used to build the E-OBS grid. For precipitation, significant differences ? at the 10 % level ? between both datasets were found for fewer than 25 % of days over the Iberian Peninsula. For temperature, a very inhomogeneous spatial pattern was obtained, with either a small (in most of the regions) or large fraction of significantly different days, thus indicating sensible regions for observational uncertainty.es_ES
dc.description.sponsorshipThis research has been partially funded by the Spanish R&D program MINECO/FEDER (grant no. CGL2015-66583-R, project MULTI-SDM), the Portuguese Foundation for Science and Technology – FCT (grant no. PTDC/GEOMET/7078/2014, SOLAR project; grant no. UID/GEO/50019/2019, Instituto Dom Luiz).es_ES
dc.format.extent10 p.es_ES
dc.language.isoenges_ES
dc.publisherCopernicuses_ES
dc.rightsAttribution 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceEarth Syst. Sci. Data, 11, 1947-1956, 2019es_ES
dc.titleIberia01: A new gridded dataset of daily precipitation and temperatures over Iberiaes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.5194/essd-11-1947-2019
dc.type.versionpublishedVersiones_ES


Ficheros en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo

Attribution 4.0 InternationalExcepto si se señala otra cosa, la licencia del ítem se describe como Attribution 4.0 International