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Creating quantitative scenario projections for the UK shared socioeconomic pathways

Merkle, M.; Dellaccio, O.; Dunford, R.; Harmáčková, Z. V.; Harrison, P. A.; Mercure, J-F.; Pedde, S.; Seo, B. 1; Simsek, Y.; Stenning, J.; Rounsevell, M. ORCID iD icon 2,3
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)
2 Institut für Geographie und Geoökologie (IFGG), Karlsruher Institut für Technologie (KIT)
3 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)

Abstract:

The Shared Socioeconomic Pathways (SSPs) were developed as a framework for exploring alternative futures with challenges for climate change mitigation and adaptation. Whilst originally developed at the global scale, the SSPs have been increasingly interpreted at the national scale in order to inform national level climate change policy and impact assessments, including mitigation and adaptation actions. Here, we present a set of quantitative SSP scenario projections, based on narratives and semi-quantitative trends, for the UK (the UK-SSPs) for a wide range of sectors that are relevant to the UK climate research, policy and business communities. We show that a mixed-methods approach that combines computational modelling with an interpretation of stakeholder storylines and empirical data is an effective way of generating a comprehensive range of quantitative indicators across sectors and geographic areas in a specific national context. The global SSP assumptions of low challenges to climate adaptation lead to similar socioeconomic outcomes in UK-SSP1 and UK-SSP5, although based on very different dynamics and underlying drivers. Convergence was also identified in indicators related to more efficient natural resource use in the scenarios with low challenges to climate change mitigation (UK-SSP1 and UK-SSP4). ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000158482
Veröffentlicht am 10.05.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
Institut für Geographie und Geoökologie (IFGG)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 2212-0963
KITopen-ID: 1000158482
HGF-Programm 12.11.21 (POF IV, LK 01) Natural ecosystems as sources and sinks of GHGs
Erschienen in Climate Risk Management
Verlag Elsevier
Band 40
Seiten Art.-Nr.: 100506
Nachgewiesen in Dimensions
Scopus
Web of Science
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