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A multidecadal assessment of climate indices over Europe

  • Dades identificatives

    Identificador: imarina:6285382
    Autors:
    Domínguez-Castro FReig FVicente-Serrano SMAguilar EPeña-Angulo DNoguera IRevuelto Jvan der Schrier GEl Kenawy AM
    Resum:
    © 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.
  • Altres:

    Autor segons l'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
    Departament: Geografia
    Autor/s de la URV: Aguilar Anfrons, Enrique Modesto
    Paraules clau: Trends Temperature extremes Responses Models Heat-stress Ensemble Drought Daily precipitation extremes Crops China
    Resum: © 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.
    Grup de recerca: Centre en Canvi Climàtic (C3)
    Àrees temàtiques: 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
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 20524463
    Adreça de correu electrònic de l'autor: enric.aguilar@urv.cat
    Identificador de l'autor: 0000-0002-8384-377X
    Data d'alta del registre: 2023-02-22
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Enllaç font original: https://www.nature.com/articles/s41597-020-0464-0
    Referència a l'article segons font original: Scientific Data. 7 (1): 125-
    Referència de l'ítem segons les normes 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
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    DOI de l'article: 10.1038/s41597-020-0464-0
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2020
    Tipus de publicació: Journal Publications
  • Paraules clau:

    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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