Reflections on delivering place-based climate risk data in support of local adaptation decisions

Smith, Adam J. P., Minns, Asher, Nicholls, Robert J., Beswick, Anna, Jenkins, Katie, Avrutin, Sandy and Robson, Craig (2025) Reflections on delivering place-based climate risk data in support of local adaptation decisions. Climate Risk Management, 48. ISSN 2212-0963

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Abstract

Strengthening the adaptive capacity of the UK, via national plans and local-scale interventions, requires easy access to climate risk information and adaptation scenarios. Stakeholder engagement can ensure the right balance between top-down prescriptive modelling, and bottom-up, solution-focussed and lived experience approaches. National-scale, spatially-explicit, integrated climate risk frameworks can help inform the needs of localised climate risk assessments, but there are barriers to local actors accessing the information.

Item Type: Article
Additional Information: Data availability statement: Data will be made available on request. Funding information: The research described here is part of the NERC funded project: OpenCLIM (Open CLimate Impacts modelling framework) (NE/T013931/1). Ongoing knowledge exchange work is aligned with the NERC funded project: Maximising UK Adaptation to Climate Change (MACC) Hub (grant reference APP23040). AJPS was supported by Impact funding from the University of East Anglia (UEA).
Uncontrolled Keywords: adaptive capacity,climate risk,data sharing,place-based climate risk,stakeholder engagement,geography, planning and development,management, monitoring, policy and law,global and planetary change,atmospheric science,sdg 13 - climate action ,/dk/atira/pure/subjectarea/asjc/3300/3305
Faculty \ School: Faculty of Science > School of Environmental Sciences
University of East Anglia Research Groups/Centres > Theme - ClimateUEA
UEA Research Groups: University of East Anglia Schools > Faculty of Science > Tyndall Centre for Climate Change Research
Faculty of Science > Research Centres > Tyndall Centre for Climate Change Research
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Depositing User: LivePure Connector
Date Deposited: 18 Mar 2025 11:30
Last Modified: 08 Apr 2025 00:19
URI: https://ueaeprints.uea.ac.uk/id/eprint/98780
DOI: 10.1016/j.crm.2025.100701

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