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Where can consensus be expected in the near future?
1.We will have some form of Òoperational attributionÓ capability
2.D&A studies will routinely use information from large, multi-model ensembles (and will make more intelligent use of this information)
3.Structural uncertainties in observations will become an integral part of D&A research
4.We will have formally identified anthropogenic fingerprints
ÆAt sub-continental spatial scales
ÆIn variables more relevant to climate impacts
ÆIn plant and animal distributions and abundances
5.Fingerprinting will be feasible with increasingly shorter (< 30-year) observational records 
 Here is an outline of the structure of my talk.
 First IÕll discuss some of the key findings of a recent Intergovernmental report that investigated the nature and causes of climate change.
 Then IÕll define some terms that IÕll be using in my talk.
 Next IÕll try to give you some indication of the principal advances that have been made in our knowledge of the causes of climate change.
 Most of the talk will focus on discussion of one example of a so-called ÒfingerprintÓ study - a statistical comparison of patterns of climate change in observed data and in model predictions.
 Finally, in my concluding remarks, IÕll point out some of the key uncertainties in this type of work, and tell you why I believe that we all have a stake in advancing the science.