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A multidecadal assessment of climate indices over Europe

  • Identification data

    Identifier: imarina:6285382
    Authors:
    Domínguez-Castro FReig FVicente-Serrano SMAguilar EPeña-Angulo DNoguera IRevuelto Jvan der Schrier GEl 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:

    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
    Department: Geografia
    URV's Author/s: Aguilar Anfrons, Enrique Modesto
    Keywords: Trends Temperature extremes Responses Models Heat-stress Ensemble Drought Daily precipitation extremes Crops China
    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.
    Research group: Centre en Canvi Climàtic (C3)
    Thematic Areas: Zootecnia / recursos pesqueiros Statistics, probability and uncertainty Statistics and probability Multidisciplinary sciences Library and information sciences Information systems Education Computer science applications Ciencias sociales Ciências ambientais Biotecnología Biodiversidade
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 20524463
    Author's mail: enric.aguilar@urv.cat
    Author identifier: 0000-0002-8384-377X
    Record's date: 2023-02-22
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.nature.com/articles/s41597-020-0464-0
    Papper original source: Scientific Data. 7 (1): 125-
    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
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Article's DOI: 10.1038/s41597-020-0464-0
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2020
    Publication Type: Journal Publications
  • Keywords:

    Computer Science Applications,Education,Information Systems,Library and Information Sciences,Multidisciplinary Sciences,Statistics and Probability,Statistics, Probability and Uncertainty
    Trends
    Temperature extremes
    Responses
    Models
    Heat-stress
    Ensemble
    Drought
    Daily precipitation extremes
    Crops
    China
    Zootecnia / recursos pesqueiros
    Statistics, probability and uncertainty
    Statistics and probability
    Multidisciplinary sciences
    Library and information sciences
    Information systems
    Education
    Computer science applications
    Ciencias sociales
    Ciências ambientais
    Biotecnología
    Biodiversidade
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