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dc.contributor.authorChristidis, N
dc.contributor.authorStott, PA
dc.date.accessioned2022-11-15T15:43:38Z
dc.date.issued2022-07-14
dc.date.updated2022-11-15T15:18:43Z
dc.description.abstractThe response of precipitation to global warming is manifest in the strengthening of the hydrological cycle but can be complex on regional scales. Fingerprinting analyses have so far detected the effect of human influence on regional changes of precipitation extremes. Here we examine changes in seasonal precipitation in Europe since the beginning of the twentieth century and use an ensemble of new climate models to assess the role of different climatic forcings, both natural and anthropogenic. We find that human influence gives rise to a characteristic pattern of contrasting trends, with drier seasons in the Mediterranean basin and wetter over the rest of the continent. The trends are stronger in winter and weaker in summer, when drying is more spatially widespread. The anthropogenic signal is dominated by the response to greenhouse gas emissions, but is also weakened, to some extent, by the opposite effect of anthropogenic aerosols. Using a formal fingerprinting attribution methodology, we show here for the first time that the effects of the total anthropogenic forcing, and also of its greenhouse gas component, can be detected in observed changes of winter precipitation. Greenhouse gas emissions are also found to drive an increase in precipitation variability in all seasons. Moreover, the models suggest that human influence alters characteristics of seasonal extremes, with the frequency of high precipitation extremes increasing everywhere except the Mediterranean basin, where low precipitation extremes become more common. Regional attribution information contributes to the scientific basis that can help European citizens build their climate resilience.en_GB
dc.description.sponsorshipMet Office Hadley Centre Climate Programmeen_GB
dc.format.extent5215-5231
dc.identifier.citationVol. 35(15), pp. 5215-5231en_GB
dc.identifier.doihttps://doi.org/10.1175/jcli-d-21-0637.1
dc.identifier.urihttp://hdl.handle.net/10871/131786
dc.identifierORCID: 0000-0003-4853-7686 (Stott, Peter A)
dc.language.isoenen_GB
dc.publisherAmerican Meteorological Societyen_GB
dc.relation.urlhttps://archive.ceda.ac.uk/en_GB
dc.relation.urlhttps://esgf.llnl.gov/en_GB
dc.rights© 2022. Open access. This article is licensed under a Creative Commons Attribution 4.0 license (http://creativecommons.org/licenses/by/4.0/).en_GB
dc.subjectEuropeen_GB
dc.subjectPrecipitationen_GB
dc.subjectAnthropogenic effects/forcingen_GB
dc.subjectClimate changeen_GB
dc.subjectPattern detectionen_GB
dc.subjectClimate modelsen_GB
dc.titleHuman Influence on Seasonal Precipitation in Europeen_GB
dc.typeArticleen_GB
dc.date.available2022-11-15T15:43:38Z
dc.identifier.issn0894-8755
dc.descriptionThis is the final version. Available on open access from the American Meteorological Society via the DOI in this recorden_GB
dc.descriptionData availability statement. CRU TS4.03 gridded precipitation data are available from the CEDA archive (https://archive.ceda.ac.uk/). Data from different experiments with the CMIP6 models used in the study can be downloaded from nodes of the ESGF (https://esgf.llnl.gov/).en_GB
dc.identifier.eissn1520-0442
dc.identifier.journalJournal of Climateen_GB
dc.relation.ispartofJournal of Climate, 35(15)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-07-14
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-11-15T15:40:57Z
refterms.versionFCDVoR
refterms.dateFOA2022-11-15T15:43:42Z
refterms.panelBen_GB


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© 2022. Open access. This article is licensed under a Creative Commons Attribution 4.0 license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's licence is described as © 2022. Open access. This article is licensed under a Creative Commons Attribution 4.0 license (http://creativecommons.org/licenses/by/4.0/).