A new long term gridded daily precipitation dataset at high-resolution for Cuba (CubaPrec1)

Centella-Artola, Abel ; Bezanilla-Morlot, Arnoldo ; Serrano-Notivoli, Roberto (Universidad de Zaragoza) ; Vázquez-Montenegro, Ranses ; Sierra-Lorenzo, Maibys ; Chang-Dominguez, Dayron

Resumen: The paper presents a high-resolution (-3km) gridded dataset for daily precipitation across Cuba for 1961-2008, called CubaPrec1. The dataset was built using the information from the data series of 630 stations from the network operated by the National Institute of Water Resources. The original station data series were quality controlled using a spatial coherence process of the data, and the missing values were estimated on each day and location independently. Using the filled data series, a grid of 3 × 3 km spatial resolution was constructed by estimating daily precipitation and their corresponding uncertainties at each grid box. This new product represents a precise spatiotemporal distribution of precipitation in Cuba and provides a useful baseline for future studies in hydrology, climatology, and meteorology.

Idioma: Inglés

DOI: 10.1016/j.dib.2023.109294

Año: 2023

Publicado en: Data in Brief 48 (2023), 109294 [8 pp.]
ISSN: 2352-3409

Financiación: info:eu-repo/grantAgreement/ES/MICINN/RYC2021-034330-I
Financiación: info:eu-repo/grantAgreement/ES/NextGenerationEU/PRTR

Tipo y forma: Article (Published version)

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