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TITLE:
A multidecadal assessment of climate indices over Europe - imarina:6285382

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