Creating quantitative scenario projections for the UK shared socioeconomic pathways

Merkle, M.; Dellaccio, O.; Dunford, R. ORCID: https://orcid.org/0000-0002-6559-1687; Harmackova, Z.V. ORCID: https://orcid.org/0000-0001-7711-4135; Harrison, P.A. ORCID: https://orcid.org/0000-0002-9873-3338; Mercure, J-F.; Pedde, S. ORCID: https://orcid.org/0000-0002-4227-4013; Seo, B.; Simsek, Y.; Stenning, J.; Rounsevell, M.. 2023 Creating quantitative scenario projections for the UK shared socioeconomic pathways. Climate Risk Management, 40, 100506. 11, pp. 10.1016/j.crm.2023.100506

Before downloading, please read NORA policies.

Preview

Text
N535539JA.pdf - Published Version
Available under License Creative Commons Attribution 4.0.
Download (5MB) | Preview

Official URL: http://dx.doi.org/10.1016/j.crm.2023.100506

Abstract/Summary

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). Alternatively, societal inequality played a strong role in scenarios with high challenges to adaptation leading to convergence in indicator trends (UK-SSP3 and UK-SSP4).

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1016/j.crm.2023.100506
UKCEH and CEH Sections/Science Areas:	Soils and Land Use (Science Area 2017-)
ISSN:	2212-0963
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
Additional Keywords:	extended SSPs, UK socio-economics, quantitative scenarios, stakeholder-based modelling
NORA Subject Terms:	Economics General > Science Policy Meteorology and Climatology
Related URLs:	Project Website
Date made live:	06 Nov 2023 16:25 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/535539

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.1016/j.crm.2023.100506

UKCEH and CEH Sections/Science Areas:

Soils and Land Use (Science Area 2017-)

ISSN:

2212-0963

Additional Information. Not used in RCUK Gateway to Research.:

Open Access paper - full text available via Official URL link.

Additional Keywords:

extended SSPs, UK socio-economics, quantitative scenarios, stakeholder-based modelling