SPREAD: A high-resolution daily gridded precipitation dataset for Spain – an extreme events frequency and intensity overview

Serrano-Notivoli, Roberto (Universidad de Zaragoza) ; Beguería, Santiago ; Saz, Miguel Ángel (Universidad de Zaragoza) ; Longares, Luis Alberto (Universidad de Zaragoza) ; Luis, Martín de (Universidad de Zaragoza)

Resumen: 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.

Idioma: Inglés

DOI: 10.5194/essd-9-721-2017

Año: 2017

Publicado en: EARTH SYSTEM SCIENCE DATA 9, 2 (2017), 721-738
ISSN: 1866-3508

Factor impacto JCR: 8.792 (2017)

Categ. JCR: METEOROLOGY & ATMOSPHERIC SCIENCES rank: 2 / 85 = 0.024 (2017) - Q1 - T1
Categ. JCR: GEOSCIENCES, MULTIDISCIPLINARY rank: 3 / 189 = 0.016 (2017) - Q1 - T1

Factor impacto SCIMAGO: 4.885 - Earth and Planetary Sciences (miscellaneous) (Q1)

Financiación: info:eu-repo/grantAgreement/ES/DGA/E68
Financiación: info:eu-repo/grantAgreement/ES/DGA-FSE/H38
Financiación: info:eu-repo/grantAgreement/ES/MINECO/CGL2014-52135-C3-1-R
Financiación: info:eu-repo/grantAgreement/ES/MINECO/CGL2015-69985-R

Tipo y forma: Article (Published version)

Área (Departamento): Área Geografía Física (Dpto. Geograf. Ordenac.Territ.)
Área (Departamento): Área Análisis Geográfico Regi. (Dpto. Geograf. Ordenac.Territ.)