RIMES is developing tools, models and methods to enhance the scale and relevance of climate information from global scale (coarse resolution) to regional and local level (finer resolution) for assessing potential climate impacts among Member States. The demand and need for climate downscaling at higher resolution is increasing because of its importance in estimating the potential impacts of climate change, and will be useful in national planning.
Following are the techniques employed at RIMES
- Dynamical: a nested regional climate model (RCM)
- Statistical: statistical relationships between the large-scale climatic state and local variations derived from historical data records.
- Climate control: Approach for modulating GCM output with high resolution topographic layers and parameters that act as local climate controls using GIS tools
- Analogue Method: Using examples from historical information to anticipate future extremes of climate states