The assessment of the recent IPCC report is based on multi-models ensembles and a range of scenarios to cover uncertainty to some extent.
However, the resolution of these models is too low to be of use to local or regional impact studies and decision making in terms of adaptation and mitigation options.

The use of downscaling techniques aims to bridge this gap between climate predictions and information on the local level. The CORDEX-Initiative has organised an internationally coordinated framework in recent years to provide improved regional information at resolutions up to about a few kilometers. These are produced for a wide range of climate variables including their statistical characteristics which are necessary for further local or regional impact studies.

Contributions covering both individual pieces of this chain or their interfaces, i.e.
▪ uncertainity transfer through optimum matrix GCMxRCM filling,
▪ weighting of the results using validation metrics,
▪ bias correction of the products,
▪ final postprocessing of the results for impact studies (e.g. statistical downscalilng, weather generators), and
▪ final examples of end-users applications in climate services,
are welcome.

Especially new conclusions based on a broad range of matrix filled by the EuroCORDEX both in ERA-Interim runs and scenarios simulations are encouraged.

Examples of the new concept of co-development and co-exploration amongst climate scientists and end-users bringing more appropriate tailoring of climate information would be appreciated as well.