Aim
Investigating uncertainty in greater detail – what types of uncertainties are inherent in each model, how can these uncertainties be quantified, how do unquantifiable uncertainties propagate throughout the model cascade?
Identifying the “bigger picture” uncertainties:
- how do we combine qualitative and quantitative uncertainties?
- is the cascade of uncertainty always directed or can there be feedbacks and ‘mixing’?
- how much detail on uncertainty are stakeholders interested in?
- which uncertainties can we only characterise and talk about vs. which can we reduce?
- what are our largest uncertainties?
- which parts of the model are most sensitive to change?
- how will we tackle uncertainty in climate change models and future scenarios?
