Does climate policy need probabilities

By S. Dessai, M. Hulme. 2003

118 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/0e9886f5df205f91416e4cd321d6674326459777

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Citations in the corpus

The End-to-End Attribution Problem: From Emissions to Impacts (2005, background): “Dessai and Hulme (2003) argue that the use of probabilistic information is dependent on the context.”
Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling (2007, background): “The limited use of such methods has so far proved valuable in providing increasingly robust forecasts of climate change impacts on agriculture and hydrology, through the inclusion of uncertainty estimates which can be used in the planning of adaptation measures (Dessai and Hulme, 2004).”
Probabilistic Integrated Assessment of “ Dangerous ” Climate Change (2004, background): “Although the suitability and effectiveness of techniques for presenting uncertain results is context-dependent, we believe that such probabilistic methods are more valuable for communicating an accurate view of current scientific knowledge to those seeking information for decision-making than assess”
Regional probabilities of precipitation change: A Bayesian analysis of multimodel simulations (2004, background): “[2] The need of probabilistic assessment of climate change at regional scale has been clearly expressed in particular by the impacts research community [Reilly et al., 2001; Webster, 2003; Dessai and Hulme, 2003].”
Quantifying Uncertainty in Projections of Regional Climate Change: A Bayesian Approach to the Analysis of Multimodel Ensembles (2005, background): “…geosciences in moving from single-value predictions to probabilistic forecasts, in so far as presenting a probability distribution of future climate is a more flexible quantification for drawing inferences and facilitating decision making (Reilly et al. 2001; Webster 2003; Dessai and Hulme 2003).”