63010 20240124152520.0 doi 10.5194/essd-9-721-2017 sideral 101617 ART-2017-101617 eng Serrano-Notivoli, Roberto Universidad de Zaragoza (orcid)0000-0001-7663-1202 SPREAD: A high-resolution daily gridded precipitation dataset for Spain – an extreme events frequency and intensity overview 2017 Access copy available to the general public Unrestricted A high-resolution daily gridded precipitation dataset was built from raw data of 12 858 observatories covering a period from 1950 to 2012 in peninsular Spain and 1971 to 2012 in Balearic and Canary islands. The original data were quality-controlled and gaps were filled on each day and location independently. Using the serially complete dataset, a grid with a 5 × 5 km spatial resolution was constructed by estimating daily precipitation amounts and their corresponding uncertainty at each grid node. Daily precipitation estimations were compared to original observations to assess the quality of the gridded dataset. Four daily precipitation indices were computed to characterise the spatial distribution of daily precipitation and nine extreme precipitation indices were used to describe the frequency and intensity of extreme precipitation events. The Mediterranean coast and the Central Range showed the highest frequency and intensity of extreme events, while the number of wet days and dry and wet spells followed a north-west to south-east gradient in peninsular Spain, from high to low values in the number of wet days and wet spells and reverse in dry spells. The use of the total available data in Spain, the independent estimation of precipitation for each day and the high spatial resolution of the grid allowed for a precise spatial and temporal assessment of daily precipitation that is difficult to achieve when using other methods, pre-selected long-term stations or global gridded datasets. SPREAD dataset is publicly available at https://doi.org/10.20350/digitalCSIC/7393. info:eu-repo/grantAgreement/ES/DGA/E68 info:eu-repo/grantAgreement/ES/DGA-FSE/H38 info:eu-repo/grantAgreement/ES/MINECO/CGL2014-52135-C3-1-R info:eu-repo/grantAgreement/ES/MINECO/CGL2015-69985-R info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 8.792 2017 METEOROLOGY & ATMOSPHERIC SCIENCES 2 / 85 = 0.024 2017 Q1 T1 GEOSCIENCES, MULTIDISCIPLINARY 3 / 189 = 0.016 2017 Q1 T1 4.885 2017 Earth and Planetary Sciences (miscellaneous) 2017 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Beguería, Santiago Saz, Miguel Ángel Universidad de Zaragoza (orcid)0000-0001-8979-0253 Longares, Luis Alberto Universidad de Zaragoza (orcid)0000-0002-9558-1308 Luis, Martín de Universidad de Zaragoza (orcid)0000-0002-7585-3636 3006 430 Universidad de Zaragoza Dpto. Geograf. Ordenac.Territ. Área Geografía Física 3006 010 Universidad de Zaragoza Dpto. Geograf. Ordenac.Territ. Área Análisis Geográfico Regi. 9, 2 (2017), 721-738 Earth syst. sci. data EARTH SYSTEM SCIENCE DATA 1866-3508 11945945 http://zaguan.unizar.es/record/63010/files/texto_completo.pdf Versión publicada 101982 http://zaguan.unizar.es/record/63010/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:63010 articulos driver 2024-01-24-15:16:55 ARTICLE