Articles producció científica> Geografia

A multidecadal assessment of climate indices over Europe

  • Datos identificativos

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

    Autor según el artículo: Domínguez-Castro F; Reig F; Vicente-Serrano SM; Aguilar E; Peña-Angulo D; Noguera I; Revuelto J; van der Schrier G; El Kenawy AM
    Departamento: Geografia
    Autor/es de la URV: Aguilar Anfrons, Enrique Modesto
    Palabras clave: Trends Temperature extremes Responses Models Heat-stress Ensemble Drought Daily precipitation extremes Crops China
    Resumen: © 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.
    Grupo de investigación: Centre en Canvi Climàtic (C3)
    Áreas temáticas: 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
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 20524463
    Direcció de correo del autor: enric.aguilar@urv.cat
    Identificador del autor: 0000-0002-8384-377X
    Fecha de alta del registro: 2023-02-22
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://www.nature.com/articles/s41597-020-0464-0
    Referencia al articulo segun fuente origial: Scientific Data. 7 (1): 125-
    Referencia 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 Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    DOI del artículo: 10.1038/s41597-020-0464-0
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2020
    Tipo de publicación: Journal Publications
  • Palabras clave:

    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
  • Documentos:

  • Cerca a google

    Search to google scholar