DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D2, Vertical level 10m, Global model CanESM5, scenario ssp370 - The Metropolitan City of Turin (CMTo, Italy)

Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).More details about the domains, the provided variable, levels and periods are provided in the README file.