Dataset for "From Continental to Street Scales: Climate Change Impacts on Atmospheric Composition over Europe and London"

This dataset contains the processed grid fields, discrete classification arrays, and multi-sample time series data for the research paper: "From Continental to Street Scales: Climate Change Impacts on Atmospheric Composition over Europe and London" authored by Ruth M. Doherty, Zhenze Liu, Massimo Vieno, Oliver Wild et al. Dataset Contents & Structure: The shared archive is packed into a data.zip container, which organizes the processed variables required to reproduce the respective figures (Figures 1 through 10). The dataset bridges regional air quality simulations down to urban/street-scale assessments, and specifically includes: Spatial Gridded Climate and Chemical Fields (Europe & UK Domains): 2D mesh coordinates (Latitude/Longitude) providing multi-season (DJF, JJA, ANN) absolute concentrations, future climate-driven changes (Future - Present-Day) for atmospheric components such as Surface O₃, PM₂.₅, and NO₂. Dominant Component Discrete Index: Categorical integer arrays representing dominant aerosol components. Multi-Sample Diurnal and Seasonal Cycles: High-resolution time series (e.g., 24 hours × N samples, 12 months × N samples) simulated across different scale-nesting models (including EMEP4UK and high-resolution ADMS-Urban). Data Format: All scientific variables are systematically archived in the NetCDF-4 (.nc) format.