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