000089568 001__ 89568 000089568 005__ 20210902121710.0 000089568 0247_ $$2doi$$a10.1038/s41597-020-0464-0 000089568 0248_ $$2sideral$$a117703 000089568 037__ $$aART-2020-117703 000089568 041__ $$aeng 000089568 100__ $$0(orcid)0000-0003-3085-7040$$aDomínguez-Castro, Fernando 000089568 245__ $$aA multidecadal assessment of climate indices over Europe 000089568 260__ $$c2020 000089568 5060_ $$aAccess copy available to the general public$$fUnrestricted 000089568 5203_ $$aMonitoring and management of several environmental and socioeconomic sectors require climate data that can be summarized using a set of standard and meaningful climate metrics. This study describes a newly developed gridded dataset for the whole of Europe, which employed a set of 125 climate indices spanning different periods based on data availability, but mainly 1950–2017 and 1979–2017. This dataset comprehensively summarizes climate variability in Europe for a wide range of climate variables and conditions, including air temperature, precipitation, biometeorology, aridity, continentality, drought, amongst others. Climate indices were computed at different temporal scales (i.e. monthly, seasonal and annual) and mapped at a grid interval of 0.25°. We intend to update these indices on an annual basis. This dataset is freely available to research and end-user communities. 000089568 536__ $$9info:eu-repo/grantAgreement/EC/H2020/690462/EU/European Research Area for Climate Services/ERA4CS$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 690462-ERA4CS$$9info:eu-repo/grantAgreement/ES/MINECO/CGL2017-82216-R$$9info:eu-repo/grantAgreement/ES/MINECO/CGL2017-83866-C3-1-R$$9info:eu-repo/grantAgreement/ES/MINECO/PCIN-2015-220 000089568 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000089568 590__ $$a6.444$$b2020 000089568 591__ $$aMULTIDISCIPLINARY SCIENCES$$b11 / 73 = 0.151$$c2020$$dQ1$$eT1 000089568 592__ $$a2.564$$b2020 000089568 593__ $$aComputer Science Applications$$c2020$$dQ1 000089568 593__ $$aEducation$$c2020$$dQ1 000089568 593__ $$aStatistics, Probability and Uncertainty$$c2020$$dQ1 000089568 593__ $$aLibrary and Information Sciences$$c2020$$dQ1 000089568 593__ $$aStatistics and Probability$$c2020$$dQ1 000089568 593__ $$aInformation Systems$$c2020$$dQ1 000089568 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000089568 700__ $$aReig, Fergus 000089568 700__ $$aVicente-Serrano, Sergio M. 000089568 700__ $$aAguilar, Enric 000089568 700__ $$aPeña-Angulo, Dhais 000089568 700__ $$aNoguera, Iván 000089568 700__ $$aRevuelto, Jesús 000089568 700__ $$avan der Schrier, Gerard 000089568 700__ $$aEl Kenawy, Ahmed M. 000089568 773__ $$g7 (2020), 125 1-7$$pSci. data$$tScientific Data$$x2052-4463 000089568 8564_ $$s1582944$$uhttps://zaguan.unizar.es/record/89568/files/texto_completo.pdf$$yVersión publicada 000089568 8564_ $$s214077$$uhttps://zaguan.unizar.es/record/89568/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000089568 909CO $$ooai:zaguan.unizar.es:89568$$particulos$$pdriver 000089568 951__ $$a2021-09-02-09:20:36 000089568 980__ $$aARTICLE