April 10th, 2013
The Special Issue brings together climate, statistical and impacts analyses in order to improve methods for quantifying, reducing and communicating uncertainty in predictions of climate and its impacts.
Climate models have for many years been run as ensembles, in order to capture the uncertainty associated with seasonal to multi-decadal prediction. Whilst it is increasingly common for climate impacts studies to be conducted using ensembles, there is generally less emphasis on capturing the full range of uncertainty. Further, it can be argued that it is not always desirable to do so. By bringing together a range of modellers and statisticians we have been able to conduct end-to-end (i.e. climate to impacts) analyses of uncertainty in models and data.