CRESCENDO data dissemination

CRESCENDO DATA DISSEMINATION

CRESCENDO data dissemination

This WP will ensure ESM data is saved on the ESGF. This will be carried out by seven modelling centres that all have prior experience of this from CMIP5 and run, or are closely affiliated with, national ESGF nodes.
The WP will also strengthen collaboration between the ESM community and both the climate impacts and regional climate downscaling communities, ensuring variables required by these communities are delivered from key simulations (e.g. ScenarioMIP). It is often necessary to post process ESM output to “correct” systematic biases for subsequent use in climate-impact models. Many impacts are threshold activated (e.g. tree mortality above a certain temperature), requiring driving climate data corresponds to realistic baseline levels, in terms of mean values and variability. If carefully applied, bias correction can increase the utility of ESM data for use in climate-impact models. Existing trend-preserving biascorrection methods, developed within ISI-MIP, will be improved, with a special focus on the representation of extreme weather events.