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A multidecadal assessment of climate indices over Europe

  • Identification data

    Identifier:  imarina:6285382
    Handle: https://hdl.handle.net/20.500.11797/imarina6285382
    Authors:  Domínguez-Castro, F; Reig, F; Vicente-Serrano, SM; Aguilar, E; Peña-Angulo, D; Noguera, I; Revuelto, J; van der Schrier, G; El Kenawy, AM
    Abstract:
    © 2020, The Author(s). Monitoring and management of several environmental and socioeconomic sectors require climate data that can be summarized using a set of standard and meaningful climate metrics. This study describes a newly developed gridded dataset for the whole of Europe, which employed a set of 125 climate indices spanning different periods based on data availability, but mainly 1950–2017 and 1979–2017. This dataset comprehensively summarizes climate variability in Europe for a wide range of climate variables and conditions, including air temperature, precipitation, biometeorology, aridity, continentality, drought, amongst others. Climate indices were computed at different temporal scales (i.e. monthly, seasonal and annual) and mapped at a grid interval of 0.25°. We intend to update these indices on an annual basis. This dataset is freely available to research and end-user communities.

  • Others:

    Link to the original source: https://www.nature.com/articles/s41597-020-0464-0
    APA: Domínguez-Castro, F; Reig, F; Vicente-Serrano, SM; Aguilar, E; Peña-Angulo, D; Noguera, I; Revuelto, J; van der Schrier, G; El Kenawy, AM (2020). A multidecadal assessment of climate indices over Europe. Scientific Data, 7(1), 125-. DOI: 10.1038/s41597-020-0464-0
    Paper original source: Scientific Data. 7 (1): 125-
    Article's DOI: 10.1038/s41597-020-0464-0
    Journal publication year: 2020-12-01
    Entity: Universitat Rovira i Virgili
    Paper version: info:eu-repo/semantics/publishedVersion
    Record's date: 2026-05-09
    URV's Author/s: Aguilar Anfrons, Enrique Modesto
    Department: Geografia
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Publication Type: Journal Publications
    ISSN: 20524463
    Author, as appears in the article.: Domínguez-Castro, F; Reig, F; Vicente-Serrano, SM; Aguilar, E; Peña-Angulo, D; Noguera, I; Revuelto, J; van der Schrier, G; El Kenawy, AM
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Research group: Centre en Canvi Climàtic (C3)
    Thematic Areas: Statistics, probability and uncertainty, Statistics and probability, Multidisciplinary sciences, Library and information sciences, Information systems, Education, Computer science applications, Ciencias sociales, Ciencias humanas, Ciências ambientais, Administração pública e de empresas, ciências contábeis e turismo
    Author's mail: enric.aguilar@urv.cat, enric.aguilar@urv.cat

  • Keywords:

    Trends
    Temperature extremes
    Responses
    Models
    Heat-stress
    Ensemble
    Drought
    Daily precipitation extremes
    Crops
    China
    Computer Science Applications
    Education
    Information Systems
    Library and Information Sciences
    Multidisciplinary Sciences
    Statistics and Probability
    Statistics
    Probability and Uncertainty
    Ciencias sociales
    Ciencias humanas
    Ciências ambientais
    Administração pública e de empresas
    ciências contábeis e turismo

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