Research Questions (provisional):
- What are the relevant baselines and their associated uncertainty in the observations/observationally-based products? (Both climate and non-climate.)
- How do we quantify it?
- How does it vary with temporal and spatial scales, e.g. macroclimates (province/nation scale) versus microclimates (within cities)?
- What are the multi-scale (time and space) atmospheric/land/ocean drivers, processes, process chains, and interactions that drive local scale climate variability and long-term climate change? Includes: external drivers (e.g. land use/cover change); meathods of identification / indexing
- What are the causal reasons for the range of projections from predictive tools and methods (e.g. GCMs, downscaling methods, and spatial disaggregation methods)?
- At the process-based level (multi-scale in time and space), including inter-process relationships.
- At the method level
- How do we use this understanding to form more defensible messages?
- How does this inform the disaggregation of sources of uncertainties
- How could climate scientists better analyze the spread of data to facilitate the co-production of useful climate information for the impacts/adaptation/vulnerability practitioners? Within the specific context of the vulnerabilities of partner cities.