The emergence of projected scaled patterns of extreme weather events over Europe

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dc.authorid0000-0001-8598-8596
dc.authorid0000-0002-8015-0935
dc.authorid0000-0002-3624-6454
dc.authorid0000-0002-9670-9318
dc.authorid0000-0003-3050-9847
dc.authorid0000-0002-9908-8203
dc.contributor.authorÖztürk, Tuğbaen_US
dc.contributor.authorCanbaz, Emineen_US
dc.contributor.authorBilgin, Başaken_US
dc.contributor.authorMatte, Dominicen_US
dc.contributor.authorKurnaz, Mehmet Leventen_US
dc.contributor.authorChristensen, Jens Hesselbjergen_US
dc.date.accessioned2026-02-27T07:43:29Z
dc.date.available2026-02-27T07:43:29Z
dc.date.issued2023-04-28
dc.departmentIşık Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Fizik Bölümüen_US
dc.departmentIşık University, Faculty of Engineering and Natural Sciences, Department of Physicsen_US
dc.descriptionThis study was funded by the Scientific and Technological Research Council of Turkey (TUBITAK) ARDEB 3501 Grant No 121Y587.en_US
dc.description.abstractThis work investigates the scalability of wet and dry persisting condition patterns over the European domain with global warming levels. For this aim, we have used the EURO-CORDEX ensemble of regional climate projections at 0.11° grid-mesh for daily minimum and maximum temperature and precipitation to analyze future changes in extreme weather events addressing climate warming levels of 1°C, 2°C, and 3°C, respectively. A simple scaling with the annual mean global mean temperature change modeled by the driving GCM is applied. The annual minimum of daily minimum temperature (TNN) is found to increase more compared to the annual maximum of daily maximum temperature (TXX) at the end of the century. We also identify the emergence of the scaled patterns of minimum and maximum temperatures and wet and dry persisting conditions about certain extreme weather indices. The emergence of the scaled patterns of TNN occurs from around 2040, whereas TXX pattern is emerging around 2050. Individual GCM-RCM pairs tend to have stable spatial patterns since then for both indices. The ensemble mean patterns are emerging earlier than the individual models.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationÖztürk, T., Canbaz, E., Bilgin, B., Matte, D., Kurnaz, M. L. & Christensen, J. H. (2023). The emergence of projected scaled patterns of extreme weather events over Europe. Paper presented at the The EGU General Assembly 2023.en_US
dc.identifier.urihttps://hdl.handle.net/11729/7078
dc.identifier.urihttps://doi.org/10.5194/egusphere-egu23-15038
dc.institutionauthorÖztürk, Tuğbaen_US
dc.institutionauthorid0000-0001-8598-8596
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherEuropean Geosciences Union (EGU)en_US
dc.relation.ispartofThe EGU General Assembly 2023en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleThe emergence of projected scaled patterns of extreme weather events over Europeen_US
dc.typeConference Objecten_US
dspace.entity.typePublicationen_US

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