ESA CLIM4cities - Daily Minimum and Maximum Air Temperature Downscaled from DANRA - Copenhagen, Aarhus, Aalborg and Odense, 2019-2022

This dataset provides daily minimum and maximum near-surface air temperature fields for the Danish functional urban areas of Copenhagen, Aarhus, Aalborg, and Odense. The data combine the Danish regional atmospheric reanalysis (DANRA) with the Urban Thermal Signal Downscaling (UTS-D) machine-learning model to produce high-resolution temperature fields at approximately 0.002 x 0.002º resolution from the original 2.5 × 2.5 km reanalysis grid. The downscaling approach uses Random Forest models trained on crowdsourced citizen weather station observations and geospatial predictors associated with urban heat island processes. The resulting dataset allows neighbourhood-scale analysis of urban thermal patterns and supports applications in urban climate research, heat-risk assessment, and local climate adaptation planning. The dataset was produced within the CLIM4cities project funded by the European Space Agency (ESA Contract No. 4000143628/24/I-DT, AI Trustworthy Applications for Climate).