This report, IRISCC Deliverable D4.2, defines the production of high resolution climate model data required to support the six scientific demonstrators. Tasked to CERFACS under WP4, the data production focuses on tailoring global (CMIP6) and regional (CORDEX) climate projections and reanalysis data (ERA5) to meet the specific needs of diverse climate risk assessments, ranging from urban heat and coastal flooding to food security and wildfires. The primary methodology involves advanced deep learning downscaling (idownscale) and statistical bias correction (SBCK). The report outlines the technical requirements, the downscaling strategies, and the data provision framework ensuring FAIR access across the IRISCC service catalogue.

