Assessing cross-sectoral climate change impacts, vulnerability and adaptation: an introduction to the CLIMSAVE project

Quantitative participatory exploration of the many complex issues surrounding cross-sectoral climate change impacts, vulnerability and adaptation under uncertain futures is dependent on the provision, in some form, of scenarios and scenario outputs. However, the normal provision by the research comm...

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Bibliographic Details
Published inClimatic change Vol. 128; no. 3-4; pp. 153 - 167
Main Authors Harrison, P. A., Holman, I. P., Berry, P. M.
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.02.2015
Springer Nature B.V
Subjects
Atmospheric Sciences
Climate change
Climate Change/Climate Change Impacts
Community
Cost analysis
Earth and Environmental Science
Earth Sciences
Editorial
Environmental policy
Fuzzy sets
Greenhouse effect
Stakeholders
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Summary:Quantitative participatory exploration of the many complex issues surrounding cross-sectoral climate change impacts, vulnerability and adaptation under uncertain futures is dependent on the provision, in some form, of scenarios and scenario outputs. However, the normal provision by the research community of pre-defined scenario outputs results in a lack of flexibility for stakeholders regarding choice of climate models, scenarios, scenario quantification and output indicators which in turn can lead to a lack of trust. This Special Issue describes the development and application of a web-based interactive simulation and display environment, called the CLIMSAVE Integrated Assessment (IA) Platform, which provides a holistic (cross-sectoral, climate and socio-economic change) modelling framework. The IA Platform guides the user through simulation of (1) potential impacts under scenarios of climate and/or socio-economic change, (2) identification of sectoral and multi-sectoral vulnerability ‘hotspots’ either before or after adaptation, (3) the potential for adaptation to reduce impacts within the capital constraints of the selected scenario(s), and (4) the cost-effectiveness of adaptation measures. The Special Issue explores how the IA Platform has been: (i) designed to provide a user-friendly, intuitive and facilitating, rather than predictive or prescriptive, environment for users; and (ii) utilised to quantitatively explore a diverse range of uncertain futures across Europe.
ISSN:0165-0009
1573-1480
DOI:10.1007/s10584-015-1324-3