DISTENDER Climate Simulations: Dynamical Downscaling (Round-2) for the Metropolitan City of Turin (CMTo_D0 domain) at 9 km grid-spacing

Dynamical DownScaling (DDS) simulations in DISTENDER have been performed using the ICOsahedral Nonhydrostatic (ICON) limited-area model (ICON-CLM), version 2.6.5, driven by EC-Earth3-Veg (EE3V) GCM.

The dataset contains climate data, indicators, and impacts for the Metropolitan City of Turin (CMTo) core case study at 9 km spatial resolution from the Round-2 DDS simulations. 

The dataset covers the period 2011-2020 for the historical simulation, and 2041-2050 for the future scenarios simulations.

Climate simulations in Round-2 differ from Round-1 simulations only in the  land-use dataset used in the downscaling approach. Round-2 simulations used the localized land-use scenarios developed within DISTENDER WP3 activities, while Round-1 simulations used the GLOBCover-2009 dataset.

More details about the provided variable, levels, estimated climate indicators, and impacts are provided in the README files.