Climate change beliefs and perceptions of weather-related changes in the United Kingdom
Taylor A; Bruine De Bruin W; Dessai S (2014). In: Risk Analysis, 34, pp.1995-2004. doi: 10.1111/risa.12234
Topic: Climate science, uncertainty and risk
Towards a new model for communicating climate change
The psychological and social factors that may contribute to and inhibit sustainable change in the context of tourist and traveller behaviour. read more »
‘Neutral’ experts? How input of scientific expertise matters in international environmental negotiations.
Rietig, K. Policy Sciences. 47(2): 141-160. DOI: 10.1007/s11077-013-9188-8.
On the relationship between personal experience, affect and risk perception: The case of climate change.
European Journal of Social Psychology, 2014. Online. Abstract Examining the conceptual relationship between personal experience, affect, and risk perception is crucial in improving our understanding of how emotional and cognitive … read more »
Climate services for society: origins, institutional arrangements, and design elements for an evaluation framework
Vaughan, C and Dessai, S (2014). In: Wiley Interdisciplinary Reviews: Climate Change, 5 (5). 587 – 603. ISSN 1757-7780
Mapping the climate sceptical blogosphere
Global Environmental Change, 26: 159-170
Managing unnatural disaster risk from climate extremes
Mechler, R. Bouwer, R.M., Linnerooth-Bayer, J., Hochrainer-Stigler, S., Aerts, J.C.J.H., Surminski, S., Williges, K. (2014): Managing unnatural disaster risk from climate extremes. Nature Climate Change 4, 235–237 (2014) External link to … read more »
Climate projection: Testing climate assumptions
Stainforth, D. A. In: Nature Climate Change (9th March 2014).
Politics of Expectations: Nature, Culture and the Production of Space
Porter, J. & Randalls, S. (Online First) , Special Issue, Geoforum.
Assessing pricing assumptions for weather index insurance in a changing climate
We expose the benefits and limitations of the Bayesian Network approach, weather index insurance as an adaptation measure and climate simulations as a source of quantitative predictive information. Current climate model output is shown to be of limited value and difficult to use by index insurance practitioners. The method presented, however, is shown to be an effective tool for testing pricing assumptions and could feasibly be employed in the future to incorporate multiple sources of climate data. read more »