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dc.contributor.authorCimadevilla Álvarez, Ezequiel 
dc.contributor.authorIturbide Martínez de Albéniz, Maialen 
dc.contributor.authorCofiño González, Antonio Santiago 
dc.contributor.authorFernández Fernández, Jesús (matemático) 
dc.contributor.authorSitz, Lina Elisabet
dc.contributor.authorPalacio Hoz, Aida
dc.contributor.authorHeredia Canales, Pedro Andrés
dc.contributor.authorGutiérrez Llorente, José Manuel
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2025-08-18T08:52:46Z
dc.date.available2025-08-18T08:52:46Z
dc.date.issued2025-06-10
dc.identifier.issn2767-3200
dc.identifier.urihttps://hdl.handle.net/10902/36887
dc.description.abstractThe Sixth Assessment Report (AR6) of the IPCC highlights the regionally varying impacts of climate change on both mean and extreme conditions, with significant socio-economic impacts. A key innovation of AR6 is the Interactive Atlas, which provides spatial and temporal analysis of over 20 Climatic Impact-Drivers (CIDs), integrating global and regional projection datasets from the CMIP and CORDEX model intercomparison projects. The Interactive Atlas allows users to explore, compare and download products relevant to regional climate change risk assessment, while adhering to FAIR principles to ensure data accessibility and reusability. This paper describes additional work undertaken to further support these principles, acknowledging the challenges of processing large-scale datasets. We present a cloud-enabled data laboratory-DataLab- developed using R and Python frameworks for advanced analysis and visualization. The DataLab seamlessly integrates the gridded dataset underpinning the Interactive Atlas with computational resources, combining traditional remote data access services and modern cloudbased solutions to balance cost-effectiveness with technological advances. This comprehensive resource supports regional climate change assessment and could be used to inform national adaptation plans and strengthen climate change research and policy development.es_ES
dc.description.sponsorshipPh.D. grant PRE2021-097646 funded by MICIU/AEI/10.13039/501100011033 and by ESF+ (to E.C.). IMPETUS4CHANGE, grant agreement no. 101081555, from the European Union’s Horizon Europe research and innovation programme (to J.F.). IS-ENES3, grant agreement no. 824084, from the European Union’s Horizon 2020 research and innovation programme (to A.C.). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.es_ES
dc.format.extent17 p.es_ES
dc.language.isoenges_ES
dc.publisherPublic Library of Sciencees_ES
dc.rightsAttribution 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourcePLOS climate, 2025, 4(6), e0000644es_ES
dc.titleThe IPCC Interactive Atlas DataLab: online reusability for regional climate change assessmentes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1371/journal.pclm.0000644es_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/824084/EU/Infrastructure for the European Network for Earth System modelling - Phase 3/IS-ENES3/es_ES
dc.identifier.DOI10.1371/journal.pclm.0000644
dc.type.versionpublishedVersiones_ES


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Attribution 4.0 InternationalExcepto si se señala otra cosa, la licencia del ítem se describe como Attribution 4.0 International