Integrating Observational Datasets and CMIP6 Projections for Multi-Scale Drought Characterization: Evidence from Western Türkiye

dc.authoridhttps://orcid.org/0000-0003-1649-9574
dc.authoridhttps://orcid.org/0000-0003-2104-9746
dc.authoridhttps://orcid.org/0000-0002-7729-6650
dc.contributor.authorAydemir, Sena
dc.contributor.authorHocalar, Çağlar
dc.contributor.authorŞekerci, Kürşat
dc.contributor.authorPaşa, Yasin
dc.contributor.authorÇelik, Mehmet Ali
dc.date.accessioned2026-09-14T13:38:16Z
dc.date.issued2026
dc.departmentMühendislik ve Mimarlık Fakültesi
dc.description.abstractAlthough drought is recognized as one of the major hydroclimatic hazards affecting the Mediterranean Basin, local-scale assessments to support planning for its agricultural, hydrological, and food security impacts remain limited. This study investigates historical and future drought dynamics in Manisa (Western Türkiye) using a multi-scale framework integrating the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) with CMIP6 climate projections. A comprehensive dataset including ERA5-Land, CHIRPS, TerraClimate, and station observations was evaluated, revealing strong agreement in temperature but higher uncertainty in precipitation. SPI results indicate recurrent short-term droughts with extreme events reaching −2.5 in 2007–2008, alongside intensified long-term hydrological droughts since the early 1990s, while SPEI reveals a stronger temperature-driven drought signal, peaking near −2.0 during 2020–2024 as the most severe cumulative drought period in the past 40 years. Rapid wet–dry transitions have increased since 2000, indicating a more unstable hydroclimatic regime. Future projections (2025–2100) under a high-emission scenario suggest a progressive intensification of thermally driven drought conditions, with SPEI trends declining more steeply than SPI, indicating that evapotranspiration-driven water deficits may increasingly outweigh precipitation deficits as a driver of future drought risk. These findings offer localized, data-driven evidence relevant to climate adaptation and water resource planning in semi-arid Mediterranean agricultural regions.
dc.identifier.citationAydemir, S., Hocalar, Ç., Şekerci, K., Paşa, Y., & Çelik, M. A. (2026). Integrating Observational Datasets and CMIP6 Projections for Multi-Scale Drought Characterization: Evidence from Western Türkiye. Sustainability, 18(16), 8543. https://doi.org/10.3390/su18168543
dc.identifier.doi10.3390/su18168543
dc.identifier.issn2071-1050
dc.identifier.issue16
dc.identifier.scopus2-s2.0-105048620307
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://hdl.handle.net/11363/12590
dc.identifier.volume18
dc.indekslendigikaynakScopus
dc.institutionauthorPaşa, Yasin
dc.institutionauthoridhttps://orcid.org/0000-0003-2104-9746
dc.language.isoen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relation.ispartofSustainability (Switzerland)
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectdrought dynamics
dc.subjectSPI
dc.subjectSPEI
dc.subjectCMIP6
dc.subjectHydroclimatic variability
dc.subjectManisa
dc.subject(Türkiye)
dc.titleIntegrating Observational Datasets and CMIP6 Projections for Multi-Scale Drought Characterization: Evidence from Western Türkiye
dc.typeArticle

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